From b524a9cb91f09ceaa4f1a069772ed117e5c7ff0f Mon Sep 17 00:00:00 2001 From: Vanshika Vanshika Date: Wed, 8 Apr 2026 13:31:15 +0530 Subject: [PATCH 1/4] mlflow-feast integration Signed-off-by: Vanshika Vanshika rh-pre-commit.version: 2.3.2 rh-pre-commit.check-secrets: ENABLED refine MLflow integration, UI runs endpoint, and lockfiles Signed-off-by: Vanshika Vanshika rh-pre-commit.version: 2.3.2 rh-pre-commit.check-secrets: ENABLED fix issues Signed-off-by: Vanshika Vanshika rh-pre-commit.version: 2.3.2 rh-pre-commit.check-secrets: ENABLED handle fallback Signed-off-by: Vanshika Vanshika rh-pre-commit.version: 2.3.2 rh-pre-commit.check-secrets: ENABLED added model to features table Signed-off-by: Vanshika Vanshika rh-pre-commit.version: 2.3.2 rh-pre-commit.check-secrets: ENABLED address CI Signed-off-by: Vanshika Vanshika rh-pre-commit.version: 2.3.2 rh-pre-commit.check-secrets: ENABLED add docs Signed-off-by: Vanshika Vanshika rh-pre-commit.version: 2.3.2 rh-pre-commit.check-secrets: ENABLED fix-lint Signed-off-by: Vanshika Vanshika rh-pre-commit.version: 2.3.2 rh-pre-commit.check-secrets: ENABLED update docs Signed-off-by: Vanshika Vanshika rh-pre-commit.version: 2.3.2 rh-pre-commit.check-secrets: ENABLED update-logic Signed-off-by: Vanshika Vanshika rh-pre-commit.version: 2.3.2 rh-pre-commit.check-secrets: ENABLED add-integration-test Signed-off-by: Vanshika Vanshika rh-pre-commit.version: 2.3.2 rh-pre-commit.check-secrets: ENABLED mlflowclient wrapper Signed-off-by: Vanshika Vanshika rh-pre-commit.version: 2.3.2 rh-pre-commit.check-secrets: ENABLED address-reviews Signed-off-by: Vanshika Vanshika rh-pre-commit.version: 2.3.2 rh-pre-commit.check-secrets: ENABLED update docs Signed-off-by: Vanshika Vanshika rh-pre-commit.version: 2.3.2 rh-pre-commit.check-secrets: ENABLED fix-lint Signed-off-by: Vanshika Vanshika rh-pre-commit.version: 2.3.2 rh-pre-commit.check-secrets: ENABLED fix-auto-log Signed-off-by: Vanshika Vanshika rh-pre-commit.version: 2.3.2 rh-pre-commit.check-secrets: ENABLED update feastMlflowClient Signed-off-by: Vanshika Vanshika rh-pre-commit.version: 2.3.2 rh-pre-commit.check-secrets: ENABLED changing init Signed-off-by: Vanshika Vanshika rh-pre-commit.version: 2.3.2 rh-pre-commit.check-secrets: ENABLED fixing docs Signed-off-by: Vanshika Vanshika rh-pre-commit.version: 2.3.2 rh-pre-commit.check-secrets: ENABLED remove doc Signed-off-by: Vanshika Vanshika rh-pre-commit.version: 2.3.2 rh-pre-commit.check-secrets: ENABLED update format Signed-off-by: Vanshika Vanshika rh-pre-commit.version: 2.3.2 rh-pre-commit.check-secrets: ENABLED fix-test Signed-off-by: Vanshika Vanshika rh-pre-commit.version: 2.3.2 rh-pre-commit.check-secrets: ENABLED update docs Signed-off-by: Vanshika Vanshika rh-pre-commit.version: 2.3.2 rh-pre-commit.check-secrets: ENABLED addressed reviews Signed-off-by: Vanshika Vanshika rh-pre-commit.version: 2.3.2 rh-pre-commit.check-secrets: ENABLED fix: update .secrets.baseline to remove pragma-allowlisted entry Signed-off-by: Vanshika Vanshika rh-pre-commit.version: 2.3.2 rh-pre-commit.check-secrets: ENABLED ui-fallback Signed-off-by: Vanshika Vanshika rh-pre-commit.version: 2.3.2 rh-pre-commit.check-secrets: ENABLED update requirements Signed-off-by: Vanshika Vanshika rh-pre-commit.version: 2.3.2 rh-pre-commit.check-secrets: ENABLED --- .secrets.baseline | 6 +- docs/reference/mlflow.md | 347 ++++++ pyproject.toml | 3 +- sdk/python/feast/feature_store.py | 341 ++++- sdk/python/feast/mlflow.py | 139 +++ .../feast/mlflow_integration/__init__.py | 39 + sdk/python/feast/mlflow_integration/client.py | 313 +++++ sdk/python/feast/mlflow_integration/config.py | 65 + .../mlflow_integration/entity_df_builder.py | 116 ++ sdk/python/feast/mlflow_integration/logger.py | 375 ++++++ .../mlflow_integration/model_resolver.py | 138 ++ sdk/python/feast/repo_config.py | 20 + sdk/python/feast/ui_server.py | 271 +++- .../requirements/py3.10-ci-requirements.txt | 994 +++++++++++---- .../py3.10-minimal-requirements.txt | 314 ++--- ...y3.10-minimal-sdist-requirements-build.txt | 78 +- .../py3.10-minimal-sdist-requirements.txt | 314 ++--- .../requirements/py3.10-requirements.txt | 296 ++--- .../requirements/py3.11-ci-requirements.txt | 1032 ++++++++++----- .../py3.11-minimal-requirements.txt | 460 +++---- ...y3.11-minimal-sdist-requirements-build.txt | 224 ++-- .../py3.11-minimal-sdist-requirements.txt | 460 +++---- .../requirements/py3.11-requirements.txt | 442 +++---- .../requirements/py3.12-ci-requirements.txt | 1041 +++++++++++----- .../py3.12-minimal-requirements.txt | 454 +++---- ...y3.12-minimal-sdist-requirements-build.txt | 224 ++-- .../py3.12-minimal-sdist-requirements.txt | 454 +++---- .../requirements/py3.12-requirements.txt | 436 +++---- .../integration/test_mlflow_integration.py | 1108 +++++++++++++++++ ui/src/components/RegistryVisualization.tsx | 136 +- .../components/RegistryVisualizationTab.tsx | 6 + ui/src/hooks/useFCOExploreSuggestions.ts | 2 + .../feature-views/FeatureViewUsagePanel.tsx | 130 ++ .../RegularFeatureViewOverviewTab.tsx | 39 + ui/src/pages/features/FeatureListPage.tsx | 49 + ui/src/parsers/types.ts | 2 + ui/src/queries/useLoadFeatureModels.ts | 37 + ui/src/queries/useLoadFeatureUsage.ts | 35 + ui/src/queries/useLoadMlflowRuns.ts | 52 + 39 files changed, 8070 insertions(+), 2922 deletions(-) create mode 100644 docs/reference/mlflow.md create mode 100644 sdk/python/feast/mlflow.py create mode 100644 sdk/python/feast/mlflow_integration/__init__.py create mode 100644 sdk/python/feast/mlflow_integration/client.py create mode 100644 sdk/python/feast/mlflow_integration/config.py create mode 100644 sdk/python/feast/mlflow_integration/entity_df_builder.py create mode 100644 sdk/python/feast/mlflow_integration/logger.py create mode 100644 sdk/python/feast/mlflow_integration/model_resolver.py create mode 100644 sdk/python/tests/integration/test_mlflow_integration.py create mode 100644 ui/src/pages/feature-views/FeatureViewUsagePanel.tsx create mode 100644 ui/src/queries/useLoadFeatureModels.ts create mode 100644 ui/src/queries/useLoadFeatureUsage.ts create mode 100644 ui/src/queries/useLoadMlflowRuns.ts diff --git a/.secrets.baseline b/.secrets.baseline index e0030466f1f..01be6d4a307 100644 --- a/.secrets.baseline +++ b/.secrets.baseline @@ -934,7 +934,7 @@ "filename": "infra/feast-operator/api/v1/featurestore_types.go", "hashed_secret": "44e17306b837162269a410204daaa5ecee4ec22c", "is_verified": false, - "line_number": 885 + "line_number": 879 } ], "infra/feast-operator/api/v1/zz_generated.deepcopy.go": [ @@ -957,7 +957,7 @@ "filename": "infra/feast-operator/api/v1/zz_generated.deepcopy.go", "hashed_secret": "c2028031c154bbe86fd69bef740855c74b927dcf", "is_verified": false, - "line_number": 1496 + "line_number": 1491 } ], "infra/feast-operator/api/v1alpha1/featurestore_types.go": [ @@ -1539,5 +1539,5 @@ } ] }, - "generated_at": "2026-05-14T10:20:01Z" + "generated_at": "2026-05-13T13:57:29Z" } diff --git a/docs/reference/mlflow.md b/docs/reference/mlflow.md new file mode 100644 index 00000000000..6522478409c --- /dev/null +++ b/docs/reference/mlflow.md @@ -0,0 +1,347 @@ +# MLflow Integration + +Feast provides **native integration** with [MLflow](https://mlflow.org/) for automatic feature lineage tracking alongside ML experiments. When enabled, every feature retrieval is logged to the active MLflow run. + +## Overview + +- **Which features did this model use?** -- auto-logged on every `get_historical_features()` / `get_online_features()` call +- **Which feature service should I use to serve this model?** -- resolved from model URI via `store.mlflow.resolve_features()` +- **Can I reproduce the exact training data?** -- entity DataFrame saved as an MLflow artifact +- **Which models break if I change a feature view?** -- reverse index via the Feast UI `/api/mlflow-feature-usage` endpoint +- **When was the feature store last updated?** -- `feast apply` and `feast materialize` logged to a separate ops experiment + +### Capabilities + +| Capability | How | +|---|---| +| Auto-log feature metadata | Tags on every retrieval inside an active MLflow run | +| Entity DataFrame archival | `entity_df.parquet` artifact for full reproducibility | +| Model registration with lineage | `feast.feature_service` tag propagated to model versions | +| Training-to-prediction linkage | `store.mlflow.load_model()` links prediction runs back to training runs | +| Model-to-feature resolution | Map any model URI back to its Feast feature service | +| Operation audit trail | `feast apply` / `feast materialize` logged to `{project}-feast-ops` | +| `store.mlflow` API | Single entry point — zero `import mlflow`, zero client objects | +| Feast UI integration | Per-feature-view usage stats and registered model associations | + +## Installation + +MLflow is an optional dependency: + +```bash +pip install feast[mlflow] +``` + +## Configuration + +Add the `mlflow` section to your `feature_store.yaml`: + +```yaml +project: my_project +registry: data/registry.db +provider: local +online_store: + type: sqlite + path: data/online_store.db + +mlflow: + enabled: true + tracking_uri: http://127.0.0.1:5000 # optional, falls back to MLFLOW_TRACKING_URI env var + auto_log: true # default + auto_log_entity_df: false # default + entity_df_max_rows: 100000 # default + log_operations: false # default + ops_experiment_suffix: "-feast-ops" # default +``` + +### Configuration options + +| Option | Type | Default | Description | +|--------|------|---------|-------------| +| `enabled` | bool | `false` | Master switch for the entire integration | +| `tracking_uri` | string | *(none)* | MLflow tracking server URI. Falls back to `MLFLOW_TRACKING_URI` env var, then MLflow default (`./mlruns`) | +| `auto_log` | bool | `true` | Automatically log feature metadata on every retrieval when an active MLflow run exists | +| `auto_log_entity_df` | bool | `false` | Save the entity DataFrame as `entity_df.parquet` artifact on historical retrieval | +| `entity_df_max_rows` | int | `100000` | Skip entity DataFrame artifact upload for DataFrames exceeding this limit | +| `log_operations` | bool | `false` | Log `feast apply` and `feast materialize` to a separate MLflow experiment | +| `ops_experiment_suffix` | string | `"-feast-ops"` | Suffix appended to project name for the operations experiment | + +### Tracking URI resolution + +The tracking URI is resolved in this order: + +1. `tracking_uri` field in `feature_store.yaml` +2. `MLFLOW_TRACKING_URI` environment variable +3. MLflow's default (`./mlruns` local directory) + +This means you can omit `tracking_uri` from the YAML and set `MLFLOW_TRACKING_URI` in your environment instead, or it would be pulled from `./mlruns` automatically when both are not set. + +## What gets logged + +### Tags on retrieval runs + +When `auto_log: true` and an active MLflow run exists, each `get_historical_features()` or `get_online_features()` call records: + +| Tag | Example | Description | +|-----|---------|-------------| +| `feast.project` | `my_project` | Feast project name | +| `feast.retrieval_type` | `historical` / `online` | Type of feature retrieval | +| `feast.feature_service` | `driver_activity_v1` | Auto-resolved feature service name (if matched) | +| `feast.feature_views` | `driver_hourly_stats` | Comma-separated feature view names | +| `feast.feature_refs` | `driver_hourly_stats:conv_rate,...` | All feature references | +| `feast.entity_count` | `200` | Number of entities in the request | +| `feast.feature_count` | `5` | Number of features retrieved | + +### Metrics + +| Metric | Example | Description | +|--------|---------|-------------| +| `feast.job_submission_sec` | `0.4321` | Feature retrieval duration in seconds | + +### Artifacts + +When `auto_log_entity_df: true` and the entity DataFrame has fewer than `entity_df_max_rows` rows: + +| Artifact | Description | +|----------|-------------| +| `entity_df.parquet` | Full entity DataFrame used in the retrieval | + +When a model is logged via `store.mlflow.log_model()`: + +| Artifact | Description | +|----------|-------------| +| `feast_features.json` | JSON list of feature references the model was trained on | + +### Entity DataFrame metadata + +Regardless of `auto_log_entity_df`, the following metadata is logged when present: + +| Tag / Param | When | Description | +|-------------|------|-------------| +| `feast.entity_df_type` | Always | `dataframe`, `sql`, or `range` | +| `feast.entity_df_rows` | DataFrame input | Row count | +| `feast.entity_df_columns` | DataFrame input | Column names | +| `feast.entity_df_query` | SQL input | The SQL query string | +| `feast.start_date` / `feast.end_date` | Range-based input | Date range | + +### Operation logs + +When `log_operations: true`, `feast apply` and `feast materialize` create self-contained runs in the `{project}{ops_experiment_suffix}` experiment (default: `my_project-feast-ops`): + +**Apply runs:** + +| Tag / Metric | Example | +|--------------|---------| +| `feast.operation` | `apply` | +| `feast.project` | `my_project` | +| `feast.feature_views_changed` | `driver_hourly_stats,order_stats` | +| `feast.feature_services_changed` | `driver_activity_v1` | +| `feast.entities_changed` | `driver,restaurant` | +| `feast.apply.feature_views_count` | `2` | +| `feast.apply.feature_services_count` | `1` | +| `feast.apply.entities_count` | `2` | + +**Materialize runs:** + +| Tag / Metric | Example | +|--------------|---------| +| `feast.operation` | `materialize` / `materialize_incremental` | +| `feast.project` | `my_project` | +| `feast.materialize.feature_views` | `driver_hourly_stats` | +| `feast.materialize.start_date` | `2024-01-01T00:00:00` | +| `feast.materialize.end_date` | `2024-01-02T00:00:00` | +| `feast.materialize.duration_sec` | `12.3456` | + +## Usage + +### Automatic logging (zero code) + +With the configuration above, feature metadata is logged automatically whenever there is an active MLflow run. No explicit `import mlflow` is needed — just use `store.mlflow`: + +```python +from feast import FeatureStore + +store = FeatureStore(".") + +with store.mlflow.start_run(run_name="my_training"): + training_df = store.get_historical_features( + features=store.get_feature_service("driver_activity_v1"), + entity_df=entity_df, + ).to_df() + # The run is now tagged with feast.feature_refs, feast.feature_views, etc. + + model = train(training_df) + store.mlflow.log_model(model, "model") +``` + +No extra code needed — the tags are written automatically. + +### `store.mlflow` API (recommended) + +`store.mlflow` is the primary way to interact with the Feast–MLflow integration. It provides Feast-enhanced versions of common MLflow operations, and delegates everything else to the raw `mlflow` module: + +```python +from feast import FeatureStore +from sklearn.linear_model import LogisticRegression + +store = FeatureStore(".") + +# Training +with store.mlflow.start_run(run_name="v1_training"): + df = store.get_historical_features( + features=store.get_feature_service("driver_activity_v1"), + entity_df=entity_df, + ).to_df() + + model = LogisticRegression().fit(X, y) + store.mlflow.log_model(model, "model") # Feast-enhanced: saves feast_features.json + train_run_id = store.mlflow.active_run_id + +# Register model (auto-tags version with feast.feature_service) +store.mlflow.register_model(f"runs:/{train_run_id}/model", "driver_model") + +# Prediction (auto-links to training run) +with store.mlflow.start_run(run_name="prediction"): + model = store.mlflow.load_model("models:/driver_model/1") + online_features = store.get_online_features( + features=store.get_feature_service("driver_activity_v1"), + entity_rows=[{"driver_id": 1001}], + ) + predictions = model.predict(...) +``` + +### `feast.mlflow` module API (alternative) + +For users who prefer a module-level import, `feast.mlflow` is a **drop-in replacement for `import mlflow`** that delegates to the same `store.mlflow` client under the hood: + +```python +import feast.mlflow +from feast import FeatureStore + +store = FeatureStore(".") # auto-registers with feast.mlflow + +with feast.mlflow.start_run(run_name="training"): + df = store.get_historical_features(...).to_df() + feast.mlflow.log_params({"lr": "0.01"}) # plain passthrough + feast.mlflow.log_metrics({"f1": 0.85}) # plain passthrough + feast.mlflow.log_model(model, "model") # Feast-enhanced +``` + +#### Store resolution + +`feast.mlflow` resolves its `FeatureStore` in this order: + +1. **Explicit `feast.mlflow.init(store)`** — if called, overrides everything +2. **Auto-registered** — the most recently created `FeatureStore` with `mlflow.enabled=true` registers itself automatically +3. **Auto-discovery** — falls back to `FeatureStore(".")` from the current directory + +In most cases, simply creating a `FeatureStore(...)` is enough — no `init()` needed. + +#### Error handling + +`feast.mlflow` raises clear errors on first use if something is misconfigured: + +| Condition | Error | +|-----------|-------| +| No `feature_store.yaml` in cwd and no store created | `RuntimeError` with guidance to call `feast.mlflow.init(store)` | +| `mlflow.enabled` is not set to `true` | `RuntimeError` with guidance to set `mlflow.enabled=true` | +| `mlflow` pip package not installed | `ImportError` with guidance to run `pip install feast[mlflow]` | + +When `mlflow.enabled` is `false` (or omitted), `store.mlflow` returns `None`, allowing callers to guard with `if store.mlflow:`. The `feast.mlflow` module raises `RuntimeError` only when you attempt to use it without an enabled store. + +### Feast-enhanced functions + +These functions add automatic Feast tagging and lineage on top of their MLflow counterparts: + +| Function | Enhancement | +|----------|-------------| +| `store.mlflow.start_run(run_name, tags)` | Auto-tags run with `feast.project` | +| `store.mlflow.log_model(model, path, flavor)` | Auto-attaches `feast_features.json` artifact | +| `store.mlflow.register_model(model_uri, name)` | Auto-tags model version with `feast.feature_service` | +| `store.mlflow.load_model(model_uri)` | Auto-tags prediction run with training lineage | + +**Supported model flavors for `log_model()`:** `sklearn`, `pytorch`, `xgboost`, `lightgbm`, `tensorflow`, `keras`, `pyfunc`. + +### Feast-only functions + +These are unique to the Feast integration and have no `mlflow` equivalent: + +| Function | Description | +|----------|-------------| +| `store.mlflow.resolve_features(model_uri)` | Resolve model URI to Feast feature service name | +| `store.mlflow.get_training_entity_df(run_id, ...)` | Recover entity DataFrame from a past MLflow run | +| `store.mlflow.log_training_dataset(df, dataset_name)` | Log a training DataFrame as an MLflow dataset input | +| `store.mlflow.active_run_id` | Current active MLflow run ID (or `None`) | +| `store.mlflow.client` | The underlying `MlflowClient` instance for advanced queries | +| `feast.mlflow.init(store)` | Explicitly bind `feast.mlflow` module to a `FeatureStore` (optional) | + +### Passthrough behavior + +The `feast.mlflow` module delegates any attribute not listed above to the raw `mlflow` module. This means you can use `feast.mlflow` as a drop-in replacement for `import mlflow`: + +```python +feast.mlflow.log_params(params) # passes through to mlflow.log_params +feast.mlflow.log_metrics(metrics) +feast.mlflow.set_tag("env", "staging") +feast.mlflow.MlflowClient() +``` + +`store.mlflow` does **not** have this passthrough — it only exposes the Feast-enhanced and Feast-only methods listed above. To access raw `mlflow` functions from `store.mlflow`, use the escape hatches: + +```python +store.mlflow.client.log_param(run_id, "lr", "0.01") # via MlflowClient instance +store.mlflow.mlflow.log_params(params) # via raw mlflow module +``` + +### Resolve a model back to its feature service + +```python +from feast import FeatureStore + +store = FeatureStore(".") +fs_name = store.mlflow.resolve_features("models:/driver_model/1") +# Returns: "driver_activity_v1" +``` + +Resolution order: +1. Model version tag `feast.feature_service` (set by `register_model()`) +2. Training run tag `feast.feature_service` (set by auto-logging) + +### Reproduce training from a past run + +```python +from feast import FeatureStore + +store = FeatureStore(".") + +entity_df = store.mlflow.get_training_entity_df(run_id="abc123") + +with store.mlflow.start_run(run_name="retrain_v2"): + new_df = store.get_historical_features( + features=store.get_feature_service("driver_activity_v1"), + entity_df=entity_df, + ).to_df() + model = train(new_df) + store.mlflow.log_model(model, "model") +``` + +This requires `auto_log_entity_df: true` to have been enabled when the original run was recorded. + +## Feast UI integration + +The Feast UI server exposes three API endpoints that aggregate data from MLflow: + +| Endpoint | Description | +|----------|-------------| +| `/api/mlflow-runs` | All Feast-tagged MLflow runs with linked registered models | +| `/api/mlflow-feature-usage` | Per-feature-view usage stats (run count, last used, associated models) | +| `/api/mlflow-feature-models` | Reverse index of feature refs to registered models | + +The feature view detail page in the Feast UI displays: +- **MLflow Training Runs** count and **Last Used** date in the header stats +- An **MLflow Usage** panel showing training run count, relative last-used time, and a table of registered models that depend on the feature view + +Start the Feast UI with: + +```bash +feast ui --host 127.0.0.1 --port 8888 +``` diff --git a/pyproject.toml b/pyproject.toml index 9f25f82ad0e..daaecc11659 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -133,6 +133,7 @@ snowflake = [ ] sqlite_vec = ["sqlite-vec==v0.1.6"] mcp = ["fastapi_mcp"] +mlflow = ["mlflow>=2.10.0"] dbt = ["dbt-artifacts-parser"] @@ -154,7 +155,7 @@ test = [ ] ci = [ - "feast[test, aws, azure, cassandra, clickhouse, couchbase, delta, docling, duckdb, elasticsearch, faiss, gcp, ge, go, grpcio, hazelcast, hbase, ibis, image, k8s, mcp, milvus, mongodb, mssql, mysql, openlineage, opentelemetry, oracle, spark, trino, postgres, pytorch, qdrant, rag, ray, redis, singlestore, snowflake, sqlite_vec]", + "feast[test, aws, azure, cassandra, clickhouse, couchbase, delta, docling, duckdb, elasticsearch, faiss, gcp, ge, go, grpcio, hazelcast, hbase, ibis, image, k8s, mcp, milvus, mlflow, mongodb, mssql, mysql, openlineage, opentelemetry, oracle, spark, trino, postgres, pytorch, qdrant, rag, ray, redis, singlestore, snowflake, sqlite_vec]", "build", "virtualenv==20.23.0", "dbt-artifacts-parser", diff --git a/sdk/python/feast/feature_store.py b/sdk/python/feast/feature_store.py index bfc71db875e..4aa3ba05204 100644 --- a/sdk/python/feast/feature_store.py +++ b/sdk/python/feast/feature_store.py @@ -14,6 +14,7 @@ import asyncio import copy import itertools +import logging import os import time import warnings @@ -105,6 +106,8 @@ _track_materialization = None # Lazy-loaded on first materialization call _track_materialization_loaded = False +_logger = logging.getLogger(__name__) + def _get_track_materialization(): """Lazy-import feast.metrics only when materialization tracking is needed. @@ -127,6 +130,8 @@ def _get_track_materialization(): warnings.simplefilter("once", DeprecationWarning) +_UNSET = object() + class FeatureStore: """ @@ -194,6 +199,132 @@ def __init__( # Initialize feature service cache for performance optimization self._feature_service_cache = {} + # Cache for _resolve_feature_service_name lookups + self._fs_name_cache: Dict[frozenset, Optional[str]] = {} + self._fs_name_index: Dict[frozenset, str] = {} + self._fs_name_index_ts: float = -self._FS_NAME_INDEX_TTL_SECONDS + + self._mlflow_client: Any = _UNSET + + def _init_mlflow(self) -> Optional[Any]: + """Bootstrap MLflow integration on first access. + + Checks the config, imports the module, and creates the integration + client. Returns the client or ``None`` if MLflow is disabled or + unavailable. + """ + try: + mlflow_cfg = getattr(self.config, "mlflow", None) + if mlflow_cfg is None or not mlflow_cfg.enabled: + return None + from feast.mlflow import _register_store + + _register_store(self) + + from feast.mlflow_integration.client import FeastMlflowClient + + return FeastMlflowClient(self) + except ImportError: + return None + except Exception as e: + warnings.warn(f"Failed to configure MLflow tracking: {e}") + return None + + @property + def mlflow(self) -> Any: + """Access the Feast–MLflow integration client. + + Lazily initializes on first access. Returns ``None`` when MLflow + integration is not enabled, allowing callers to guard with + ``if store.mlflow:``. + """ + if self._mlflow_client is _UNSET: + self._mlflow_client = self._init_mlflow() + return self._mlflow_client + + @staticmethod + def _count_entities(entity_rows: Any) -> int: + """Count entities from either a list or columnar mapping.""" + if isinstance(entity_rows, list): + return len(entity_rows) + if isinstance(entity_rows, Mapping): + try: + _first_col = next(iter(entity_rows.values())) + if isinstance(_first_col, RepeatedValue): + return len(_first_col.val) + return len(_first_col) + except Exception: + return 0 + return 0 + + _FS_NAME_INDEX_TTL_SECONDS = 300 + + def _rebuild_fs_name_index(self) -> None: + """Rebuild the {frozenset(refs) → service_name} index from the registry.""" + index: Dict[frozenset, str] = {} + for fs in self.registry.list_feature_services(self.project, allow_cache=True): + fs_refs = frozenset( + f"{p.name_to_use()}:{f.name}" + for p in fs.feature_view_projections + for f in p.features + ) + index[fs_refs] = fs.name + self._fs_name_index = index + self._fs_name_cache = {} + self._fs_name_index_ts = time.monotonic() + + def _resolve_feature_service_name(self, feature_refs: List[str]) -> Optional[str]: + """Find the best-matching feature service for the given feature refs. + + Resolution: exact match wins immediately; otherwise the smallest + superset (fewest extra features) is returned. The full index is + rebuilt from the registry every _FS_NAME_INDEX_TTL_SECONDS and + per-query results are cached for O(1) repeated lookups. + """ + try: + now = time.monotonic() + if (now - self._fs_name_index_ts) >= self._FS_NAME_INDEX_TTL_SECONDS: + self._rebuild_fs_name_index() + + ref_key = frozenset(feature_refs) + if ref_key in self._fs_name_cache: + return self._fs_name_cache[ref_key] + + if ref_key in self._fs_name_index: + self._fs_name_cache[ref_key] = self._fs_name_index[ref_key] + return self._fs_name_index[ref_key] + + best_match = None + best_extra = float("inf") + for fs_refs, fs_name in self._fs_name_index.items(): + if ref_key.issubset(fs_refs): + extra = len(fs_refs) - len(ref_key) + if extra < best_extra: + best_match = fs_name + best_extra = extra + + self._fs_name_cache[ref_key] = best_match + return best_match + except Exception as e: + _logger.debug("Failed to resolve feature service name: %s", e) + return None + + def _log_entity_df_metadata(self, entity_df, start_date=None, end_date=None): + """Log lightweight entity_df metadata to MLflow.""" + try: + if self.mlflow is not None: + self.mlflow.log_entity_df_metadata(entity_df, start_date, end_date) + except Exception as e: + _logger.debug("Failed to log entity_df metadata to MLflow: %s", e) + + def _log_entity_df_artifact(self, entity_df): + """Upload entity DataFrame as a parquet artifact to MLflow.""" + try: + if self.mlflow is not None: + self.mlflow.log_entity_df_artifact(entity_df) + except Exception as e: + _logger.debug("Failed to log entity_df artifact to MLflow: %s", e) + def _init_openlineage_emitter(self) -> Optional[Any]: """Initialize OpenLineage emitter if configured and enabled.""" try: @@ -295,6 +426,9 @@ def _clear_feature_service_cache(self): self._feature_service_cache.clear() if hasattr(self.registry, "_feature_service_cache"): getattr(self.registry, "_feature_service_cache").clear() + self._fs_name_cache.clear() + self._fs_name_index.clear() + self._fs_name_index_ts = -self._FS_NAME_INDEX_TTL_SECONDS def refresh_registry(self): """Fetches and caches a copy of the feature registry in memory. @@ -1022,6 +1156,35 @@ def _apply_diffs( # Emit OpenLineage events for applied objects self._emit_openlineage_apply_diffs(registry_diff) + # Emit MLflow events for applied objects (Phase 7) + self._mlflow_log_apply_diffs(registry_diff) + + def _mlflow_log_apply_diffs(self, registry_diff: RegistryDiff): + """Log apply operation to MLflow ops experiment.""" + try: + if self.mlflow is None or not self.config.mlflow.log_operations: + return + from feast.diff.property_diff import TransitionType + + objects: List[Any] = [] + transition_types: Dict[str, str] = {} + for feast_object_diff in registry_diff.feast_object_diffs: + obj = ( + feast_object_diff.new_feast_object + or feast_object_diff.current_feast_object + ) + if obj is None: + continue + tt = feast_object_diff.transition_type + if tt == TransitionType.UNCHANGED: + continue + objects.append(obj) + transition_types[feast_object_diff.name] = tt.name + if objects: + self._mlflow_log_apply(objects, transition_types=transition_types) + except Exception as e: + _logger.debug("MLflow apply logging failed: %s", e) + def _emit_openlineage_apply_diffs(self, registry_diff: RegistryDiff): """Emit OpenLineage events for objects applied via diffs.""" if self.openlineage_emitter is None: @@ -1317,6 +1480,25 @@ def apply( # Emit OpenLineage events for applied objects self._emit_openlineage_apply(objects) + # Emit MLflow events for applied objects (Phase 7) + self._mlflow_log_apply(objects) + + def _mlflow_log_apply( + self, + objects: List[Any], + transition_types: Optional[Dict[str, str]] = None, + ): + """Log applied objects to MLflow ops experiment.""" + try: + if self.mlflow is None or not self.config.mlflow.log_operations: + return + self.mlflow.log_apply( + changed_objects=objects, + transition_types=transition_types, + ) + except Exception as e: + _logger.debug("MLflow apply logging failed: %s", e) + def _emit_openlineage_apply(self, objects: List[Any]): """Emit OpenLineage events for applied objects.""" if self.openlineage_emitter is None: @@ -1483,6 +1665,8 @@ def get_historical_features( if end_date is not None: kwargs["end_date"] = end_date + _retrieval_start = time.monotonic() + job = provider.get_historical_features( self.config, feature_views, @@ -1494,6 +1678,40 @@ def get_historical_features( **kwargs, ) + # Auto-log to MLflow if configured + try: + if self.mlflow is not None and self.config.mlflow.auto_log: + _duration = time.monotonic() - _retrieval_start + if isinstance(entity_df, pd.DataFrame): + _entity_count = len(entity_df) + elif isinstance(entity_df, str): + _entity_count = -1 + else: + _entity_count = 0 + _fs = features if isinstance(features, FeatureService) else None + _fs_name = ( + features.name + if isinstance(features, FeatureService) + else self._resolve_feature_service_name(_feature_refs) + ) + self.mlflow.log_feature_retrieval( + feature_refs=_feature_refs, + entity_count=_entity_count, + duration_seconds=_duration, + retrieval_type="historical", + feature_service=_fs, + feature_service_name=_fs_name, + ) + + self._log_entity_df_metadata( + entity_df, start_date=start_date, end_date=end_date + ) + + if self.config.mlflow.auto_log_entity_df: + self._log_entity_df_artifact(entity_df) + except Exception as e: + _logger.debug("MLflow auto-log failed for historical retrieval: %s", e) + return job def create_saved_dataset( @@ -1760,6 +1978,7 @@ def materialize_incremental( feature_views_to_materialize, None, end_date ) + _mat_start = time.monotonic() try: # TODO paging large loads for feature_view in feature_views_to_materialize: @@ -1855,6 +2074,16 @@ def tqdm_builder(length): self._emit_openlineage_materialize_complete( ol_run_id, feature_views_to_materialize ) + + # Emit MLflow event for materialization (Phase 7) + _mat_duration = time.monotonic() - _mat_start + self._mlflow_log_materialize( + feature_views_to_materialize, + None, + end_date, + _mat_duration, + incremental=True, + ) except Exception as e: # Emit OpenLineage FAIL event self._emit_openlineage_materialize_fail(ol_run_id, str(e)) @@ -1921,6 +2150,7 @@ def materialize( feature_views_to_materialize, start_date, end_date ) + _mat_start = time.monotonic() try: # TODO paging large loads for feature_view in feature_views_to_materialize: @@ -1983,11 +2213,44 @@ def tqdm_builder(length): self._emit_openlineage_materialize_complete( ol_run_id, feature_views_to_materialize ) + + # Emit MLflow event for materialization (Phase 7) + _mat_duration = time.monotonic() - _mat_start + self._mlflow_log_materialize( + feature_views_to_materialize, + start_date, + end_date, + _mat_duration, + incremental=False, + ) except Exception as e: # Emit OpenLineage FAIL event self._emit_openlineage_materialize_fail(ol_run_id, str(e)) raise + def _mlflow_log_materialize( + self, + feature_views: List[Any], + start_date: Optional[datetime], + end_date: datetime, + duration_seconds: float, + incremental: bool = False, + ): + """Log materialization to MLflow ops experiment.""" + try: + if self.mlflow is None or not self.config.mlflow.log_operations: + return + fv_names = [getattr(fv, "name", str(fv)) for fv in feature_views] + self.mlflow.log_materialize( + feature_view_names=fv_names, + start_date=start_date, + end_date=end_date, + duration_seconds=duration_seconds, + incremental=incremental, + ) + except Exception as e: + _logger.debug("MLflow materialize logging failed: %s", e) + def _emit_openlineage_materialize_start( self, feature_views: List[Any], @@ -2621,6 +2884,8 @@ def get_online_features( """ provider = self._get_provider() + _retrieval_start = time.monotonic() + response = provider.get_online_features( config=self.config, features=features, @@ -2631,6 +2896,31 @@ def get_online_features( include_feature_view_version_metadata=include_feature_view_version_metadata, ) + # Auto-log to MLflow if configured + try: + if self.mlflow is not None and self.config.mlflow.auto_log: + _duration = time.monotonic() - _retrieval_start + _feature_refs = utils._get_features( + self.registry, self.project, features, allow_cache=True + ) + _entity_count = self._count_entities(entity_rows) + _fs = features if isinstance(features, FeatureService) else None + _fs_name = ( + features.name + if isinstance(features, FeatureService) + else self._resolve_feature_service_name(_feature_refs) + ) + self.mlflow.log_feature_retrieval( + feature_refs=_feature_refs, + entity_count=_entity_count, + duration_seconds=_duration, + retrieval_type="online", + feature_service=_fs, + feature_service_name=_fs_name, + ) + except Exception as e: + _logger.debug("MLflow auto-log failed for online retrieval: %s", e) + return response async def get_online_features_async( @@ -2671,7 +2961,9 @@ async def get_online_features_async( """ provider = self._get_provider() - return await provider.get_online_features_async( + _retrieval_start = time.monotonic() + + response = await provider.get_online_features_async( config=self.config, features=features, entity_rows=entity_rows, @@ -2681,6 +2973,53 @@ async def get_online_features_async( include_feature_view_version_metadata=include_feature_view_version_metadata, ) + try: + if self.mlflow is not None and self.config.mlflow.auto_log: + _duration = time.monotonic() - _retrieval_start + _mlflow_client = self.mlflow + _registry = self.registry + _project = self.project + + def _log_sync(): + try: + _feature_refs = utils._get_features( + _registry, _project, features, allow_cache=True + ) + _entity_count = self._count_entities(entity_rows) + _fs = features if isinstance(features, FeatureService) else None + _fs_name = ( + features.name + if isinstance(features, FeatureService) + else self._resolve_feature_service_name(_feature_refs) + ) + _mlflow_client.log_feature_retrieval( + feature_refs=_feature_refs, + entity_count=_entity_count, + duration_seconds=_duration, + retrieval_type="online", + feature_service=_fs, + feature_service_name=_fs_name, + ) + except Exception as exc: + _logger.debug( + "MLflow auto-log failed for async online retrieval: %s", + exc, + ) + + def _on_done(fut): + if not fut.cancelled() and fut.exception() is not None: + _logger.debug( + "MLflow auto-log executor failed: %s", fut.exception() + ) + + loop = asyncio.get_running_loop() + fut = loop.run_in_executor(None, _log_sync) + fut.add_done_callback(_on_done) + except Exception as e: + _logger.debug("MLflow auto-log failed for online retrieval: %s", e) + + return response + def retrieve_online_documents( self, query: Union[str, List[float]], diff --git a/sdk/python/feast/mlflow.py b/sdk/python/feast/mlflow.py new file mode 100644 index 00000000000..f6cc359ea8b --- /dev/null +++ b/sdk/python/feast/mlflow.py @@ -0,0 +1,139 @@ +""" +``feast.mlflow`` — drop-in replacement for ``import mlflow`` with Feast superpowers. + +Any function or attribute available on the ``mlflow`` module can be accessed +via ``feast.mlflow.*``. A subset of calls are **Feast-enhanced** with +automatic tagging, lineage tracking, and feature resolution: + +- ``start_run()`` — auto-tags runs with ``feast.project`` +- ``log_model()`` — auto-saves ``feast_features.json`` +- ``register_model()`` — auto-tags model versions with ``feast.feature_service`` +- ``load_model()`` — auto-links prediction runs to training runs +- ``resolve_features()`` — Feast-only: model URI → feature service name +- ``get_training_entity_df()`` — Feast-only: recover training entity data + +All other calls (``log_params``, ``log_metrics``, ``set_tag``, +``log_artifact``, ``MlflowClient``, etc.) pass through to the raw +``mlflow`` module unchanged. + +**Store resolution order** (first match wins): + +1. Explicit ``feast.mlflow.init(store)`` call +2. Most recently created ``FeatureStore`` (auto-registered) +3. ``FeatureStore(".")`` from the current working directory +""" + +from __future__ import annotations + +import logging +from typing import TYPE_CHECKING, Any, Optional + +if TYPE_CHECKING: + from feast import FeatureStore + +_logger = logging.getLogger(__name__) + +_MISSING = object() + +_client: Optional[Any] = None +_registered_store: Optional["FeatureStore"] = None + + +def _register_store(store: "FeatureStore") -> None: + """Called by ``FeatureStore.__init__`` to auto-register itself. + + This is an internal API — end users should call :func:`init` instead. + """ + global _registered_store + _registered_store = store + + +def _build_client() -> Any: + """Create a ``FeastMlflowClient`` using the best available store.""" + from feast.mlflow_integration.client import FeastMlflowClient + + store = _registered_store + if store is None: + try: + from feast import FeatureStore + + store = FeatureStore(".") + except Exception as exc: + raise RuntimeError( + "feast.mlflow could not auto-discover a FeatureStore. " + "Either call feast.mlflow.init(store), create a FeatureStore " + "before using feast.mlflow, or ensure feature_store.yaml " + "exists in the current directory." + ) from exc + + mlflow_cfg = getattr(store.config, "mlflow", None) + if mlflow_cfg is None or not mlflow_cfg.enabled: + raise RuntimeError( + "MLflow integration is not enabled. " + "Set mlflow.enabled=true in feature_store.yaml, or call " + "feast.mlflow.init(store) with a store whose config has " + "mlflow.enabled=true." + ) + + try: + return FeastMlflowClient(store) + except ImportError: + raise ImportError( + "mlflow package is not installed. " + "Install it with: pip install feast[mlflow]" + ) + + +def _ensure_client() -> Any: + """Return the cached client, creating it on first call.""" + global _client + if _client is None: + _client = _build_client() + return _client + + +def init(store: "FeatureStore") -> None: + """Bind ``feast.mlflow`` to a specific :class:`~feast.FeatureStore`. + + Call this once at the start of a notebook or script. All subsequent + ``feast.mlflow.*`` calls will use this store's MLflow configuration. + + This is **optional** — if you skip it, ``feast.mlflow`` will use the + most recently created ``FeatureStore`` automatically. + """ + global _client, _registered_store + _client = None + _registered_store = store + + +def get_active_run_id() -> Optional[str]: + """Return the active MLflow run ID, or ``None``.""" + return _ensure_client().active_run_id + + +def __getattr__(name: str) -> Any: + """Open delegation: Feast-enhanced client first, raw mlflow fallback. + + Lookup order for ``feast.mlflow.``: + + 1. If ``FeastMlflowClient`` has a public attribute *name*, return it. + This gives Feast-enhanced versions of ``start_run``, ``log_model``, + ``register_model``, ``load_model``, etc. + 2. Otherwise, fall back to the raw ``mlflow`` module. This makes + ``feast.mlflow.log_params``, ``feast.mlflow.set_tag``, + ``feast.mlflow.MlflowClient``, etc. work without any wrappers. + """ + if name.startswith("_"): + raise AttributeError(f"module 'feast.mlflow' has no attribute {name!r}") + + client = _ensure_client() + + client_attr = getattr(client, name, _MISSING) + if client_attr is not _MISSING: + return client_attr + + mlflow_attr = getattr(client._mlflow, name, _MISSING) + if mlflow_attr is not _MISSING: + return mlflow_attr + + raise AttributeError(f"module 'feast.mlflow' has no attribute {name!r}") diff --git a/sdk/python/feast/mlflow_integration/__init__.py b/sdk/python/feast/mlflow_integration/__init__.py new file mode 100644 index 00000000000..400b42ee9ba --- /dev/null +++ b/sdk/python/feast/mlflow_integration/__init__.py @@ -0,0 +1,39 @@ +""" +MLflow integration for Feast Feature Store. + +This module provides seamless integration between Feast and MLflow. When enabled +in feature_store.yaml, feature metadata is logged to MLflow +during get_historical_features and get_online_features calls. + +Usage: + Configure MLflow in your feature_store.yaml: + + project: my_project + # ... other config ... + + mlflow: + enabled: true + tracking_uri: https://mlflow.example.com # or set MLFLOW_TRACKING_URI + auto_log: true + + When ``tracking_uri`` is omitted, the ``MLFLOW_TRACKING_URI`` environment + variable is used. If neither is set, MLflow falls back to its own default. + + All functionality is accessed through ``store.mlflow``: + + - ``store.mlflow.start_run()`` — start an MLflow run pre-tagged with Feast metadata + - ``store.mlflow.log_model()`` — log a model with ``feast_features.json`` + - ``store.mlflow.resolve_features()`` — map an MLflow model to its feature service + - ``store.mlflow.get_training_entity_df()`` — reproduce training by pulling entity + data from a previous MLflow run's artifacts +""" + +from feast.mlflow_integration.config import MlflowConfig +from feast.mlflow_integration.entity_df_builder import FeastMlflowEntityDfError +from feast.mlflow_integration.model_resolver import FeastMlflowModelResolutionError + +__all__ = [ + "MlflowConfig", + "FeastMlflowModelResolutionError", + "FeastMlflowEntityDfError", +] diff --git a/sdk/python/feast/mlflow_integration/client.py b/sdk/python/feast/mlflow_integration/client.py new file mode 100644 index 00000000000..bb64fe44dd3 --- /dev/null +++ b/sdk/python/feast/mlflow_integration/client.py @@ -0,0 +1,313 @@ +from __future__ import annotations + +import json +import logging +import os +import re +import tempfile +from typing import TYPE_CHECKING, Any, Dict, List, Optional + +if TYPE_CHECKING: + import pandas as pd + + from feast import FeatureStore + +_logger = logging.getLogger(__name__) + +_FLAVOR_MAP = { + "sklearn": "sklearn", + "pytorch": "pytorch", + "xgboost": "xgboost", + "lightgbm": "lightgbm", + "tensorflow": "tensorflow", + "keras": "keras", + "pyfunc": "pyfunc", +} + + +class FeastMlflowClient: + """Single integration client for all Feast–MLflow functionality. + + Composes :class:`FeastMlflowLogger`, :class:`FeastMlflowEntityDfBuilder`, + and :class:`FeastMlflowModelResolver` so that there is exactly **one** + ``mlflow`` import and **one** ``MlflowClient`` instance. + + Access via ``store.mlflow`` or ``feast.mlflow``:: + + store = FeatureStore(".") + + with store.mlflow.start_run(run_name="training"): + df = store.get_historical_features(...).to_df() + model = train(df) + store.mlflow.log_model(model, "model") + """ + + def __init__(self, store: "FeatureStore"): + import mlflow as _mlflow_mod + + self._mlflow = _mlflow_mod + self._store = store + self._tracking_uri = store.config.mlflow.get_tracking_uri() + self._client = _mlflow_mod.MlflowClient(tracking_uri=self._tracking_uri) + self._default_experiment = store.config.project + + from feast.mlflow_integration.entity_df_builder import ( + FeastMlflowEntityDfBuilder, + ) + from feast.mlflow_integration.logger import FeastMlflowLogger + from feast.mlflow_integration.model_resolver import FeastMlflowModelResolver + + self._logger_impl = FeastMlflowLogger(store, _mlflow_mod, self._client) + self._entity_df_builder = FeastMlflowEntityDfBuilder( + store, _mlflow_mod, self._client + ) + self._model_resolver = FeastMlflowModelResolver( + store, _mlflow_mod, self._client + ) + + @property + def client(self): + """The underlying ``MlflowClient`` instance.""" + return self._client + + @property + def mlflow(self): + """Escape hatch: access the raw ``mlflow`` module.""" + return self._mlflow + + @property + def active_run_id(self) -> Optional[str]: + """Return the active MLflow run ID, or ``None``.""" + run = self._mlflow.active_run() + return run.info.run_id if run else None + + # ------------------------------------------------------------------ + # Run management + # ------------------------------------------------------------------ + + def start_run( + self, + run_name: Optional[str] = None, + tags: Optional[Dict[str, str]] = None, + **kwargs: Any, + ): + """Context manager that starts an MLflow run pre-tagged with Feast metadata. + + Sets the default Feast experiment only when a run is actually started, + avoiding global side effects during ``FeatureStore.__init__``. If the + caller already set an experiment (via ``kwargs["experiment_id"]`` or a + prior ``mlflow.set_experiment``), that choice is respected. + """ + if self._tracking_uri: + self._mlflow.set_tracking_uri(self._tracking_uri) + if "experiment_id" not in kwargs: + self._mlflow.set_experiment(self._default_experiment) + + merged_tags = {"feast.project": self._store.project} + if tags: + merged_tags.update(tags) + return self._mlflow.start_run(run_name=run_name, tags=merged_tags, **kwargs) + + # ------------------------------------------------------------------ + # Model lifecycle + # ------------------------------------------------------------------ + + def log_model( + self, + model: Any, + artifact_path: str, + flavor: str = "sklearn", + **kwargs: Any, + ): + """Log a model and auto-attach ``feast_features.json``.""" + flavor_name = _FLAVOR_MAP.get(flavor, "pyfunc") + flavor_mod = getattr(self._mlflow, flavor_name, self._mlflow.pyfunc) + flavor_mod.log_model(model, artifact_path, **kwargs) + self._log_required_features() + + def _log_required_features(self) -> None: + try: + run = self._mlflow.active_run() + if run is None: + return + tags = self._client.get_run(run.info.run_id).data.tags + refs_str = tags.get("feast.feature_refs") + if not refs_str: + return + features = [r for r in refs_str.split(",") if r] + if not features: + return + + with tempfile.TemporaryDirectory() as tmp_dir: + path = os.path.join(tmp_dir, "feast_features.json") + with open(path, "w") as f: + json.dump(features, f) + self._client.log_artifact(run.info.run_id, path, artifact_path="") + except Exception as e: + _logger.debug("Failed to log feast_features.json: %s", e) + + def register_model(self, model_uri: str, name: str): + """Register a model and auto-tag the version with ``feast.feature_service``.""" + result = self._mlflow.register_model(model_uri, name) + + try: + if result.run_id: + run = self._client.get_run(result.run_id) + fs_name = run.data.tags.get("feast.feature_service") + if fs_name: + self._client.set_model_version_tag( + name, result.version, "feast.feature_service", fs_name + ) + except Exception as e: + _logger.debug("Failed to auto-tag model version: %s", e) + + return result + + def load_model(self, model_uri: str, **kwargs: Any): + """Load a model and auto-tag the active prediction run with training lineage.""" + model = self._mlflow.pyfunc.load_model(model_uri, **kwargs) + + try: + active = self._mlflow.active_run() + if active is None: + return model + + run_id = active.info.run_id + parsed = _parse_model_uri(model_uri) + if parsed is None: + return model + + model_name, version_or_alias = parsed + try: + if version_or_alias.isdigit(): + mv = self._client.get_model_version(model_name, version_or_alias) + else: + mv = self._client.get_model_version_by_alias( + model_name, version_or_alias + ) + except Exception: + return model + + self._client.set_tag(run_id, "feast.model_name", model_name) + self._client.set_tag(run_id, "feast.model_version", str(mv.version)) + + if mv.run_id: + self._client.set_tag(run_id, "feast.training_run_id", mv.run_id) + try: + training_run = self._client.get_run(mv.run_id) + fs_name = training_run.data.tags.get("feast.feature_service") + if fs_name: + self._client.set_tag(run_id, "feast.feature_service", fs_name) + except Exception: + pass + + except Exception as e: + _logger.debug("Failed to tag prediction run with training lineage: %s", e) + + return model + + # ------------------------------------------------------------------ + # Delegated to logger + # ------------------------------------------------------------------ + + def log_feature_retrieval( + self, + feature_refs: List[str], + entity_count: int, + duration_seconds: float, + retrieval_type: str = "historical", + feature_service: Optional[Any] = None, + feature_service_name: Optional[str] = None, + ) -> bool: + """Log feature retrieval metadata to the active MLflow run.""" + return self._logger_impl.log_feature_retrieval( + feature_refs=feature_refs, + entity_count=entity_count, + duration_seconds=duration_seconds, + retrieval_type=retrieval_type, + feature_service=feature_service, + feature_service_name=feature_service_name, + ) + + def log_training_dataset( + self, + df: "pd.DataFrame", + dataset_name: str = "feast_training_data", + source: Optional[str] = None, + ) -> bool: + """Log a training DataFrame as an MLflow dataset input.""" + return self._logger_impl.log_training_dataset( + df=df, dataset_name=dataset_name, source=source + ) + + def log_apply( + self, + changed_objects: List[Any], + transition_types: Optional[Dict[str, str]] = None, + ) -> bool: + """Log a feast apply operation to MLflow.""" + return self._logger_impl.log_apply( + changed_objects=changed_objects, + transition_types=transition_types, + ) + + def log_materialize( + self, + feature_view_names: List[str], + start_date: Any, + end_date: Any, + duration_seconds: float, + incremental: bool = False, + ) -> bool: + """Log a feast materialize operation to MLflow.""" + return self._logger_impl.log_materialize( + feature_view_names=feature_view_names, + start_date=start_date, + end_date=end_date, + duration_seconds=duration_seconds, + incremental=incremental, + ) + + def log_entity_df_metadata( + self, entity_df: Any, start_date: Any = None, end_date: Any = None + ) -> None: + """Log lightweight entity_df metadata to MLflow.""" + self._logger_impl.log_entity_df_metadata(entity_df, start_date, end_date) + + def log_entity_df_artifact(self, entity_df: Any) -> None: + """Upload entity DataFrame as a parquet artifact to MLflow.""" + self._logger_impl.log_entity_df_artifact(entity_df) + + # ------------------------------------------------------------------ + # Delegated to model resolver + # ------------------------------------------------------------------ + + def resolve_features(self, model_uri: str) -> str: + """Resolve which Feast feature service a registered model needs.""" + return self._model_resolver.resolve(model_uri) + + # ------------------------------------------------------------------ + # Delegated to entity df builder + # ------------------------------------------------------------------ + + def get_training_entity_df( + self, + run_id: str, + timestamp_column: str = "event_timestamp", + max_rows: Optional[int] = None, + ) -> "pd.DataFrame": + """Pull the entity DataFrame from a past MLflow run.""" + return self._entity_df_builder.get_entity_df( + run_id=run_id, + timestamp_column=timestamp_column, + max_rows=max_rows, + ) + + +def _parse_model_uri(model_uri: str) -> Optional[tuple]: + """Parse ``models://`` into a tuple.""" + pattern = r"^models:/([^/]+)/(.+)$" + match = re.match(pattern, model_uri) + if match: + return match.group(1), match.group(2) + return None diff --git a/sdk/python/feast/mlflow_integration/config.py b/sdk/python/feast/mlflow_integration/config.py new file mode 100644 index 00000000000..db1d18eb080 --- /dev/null +++ b/sdk/python/feast/mlflow_integration/config.py @@ -0,0 +1,65 @@ +import os +from typing import Optional + +from pydantic import StrictBool, StrictInt, StrictStr + +from feast.repo_config import FeastBaseModel + +MLFLOW_TAG_MAX_LENGTH = 5000 +MLFLOW_TAG_TRUNCATION_LIMIT = MLFLOW_TAG_MAX_LENGTH - 10 +MLFLOW_TAG_TRUNCATION_SLICE = MLFLOW_TAG_MAX_LENGTH - 13 + +MLFLOW_PARAM_MAX_LENGTH = 500 +MLFLOW_PARAM_TRUNCATION_LIMIT = MLFLOW_PARAM_MAX_LENGTH - 10 +MLFLOW_PARAM_TRUNCATION_SLICE = MLFLOW_PARAM_MAX_LENGTH - 13 + +DEFAULT_ENTITY_DF_MAX_ROWS = 100_000 + + +def resolve_tracking_uri(configured_uri: Optional[str] = None) -> Optional[str]: + """Return the effective MLflow tracking URI. + + Priority: + 1. Explicitly configured URI from feature_store.yaml + 2. MLFLOW_TRACKING_URI environment variable (MLflow's native convention) + 3. None — let MLflow fall back to its own defaults (local ./mlruns) + """ + if configured_uri: + return configured_uri + return os.environ.get("MLFLOW_TRACKING_URI") + + +class MlflowConfig(FeastBaseModel): + enabled: StrictBool = False + """ bool: Whether MLflow integration is enabled. Defaults to False. """ + + tracking_uri: Optional[StrictStr] = None + """ str: MLflow tracking URI. When not set, the MLFLOW_TRACKING_URI + environment variable is used. If neither is set, MLflow falls back + to its own default (local ./mlruns directory). """ + + auto_log: StrictBool = True + """ bool: Automatically log feature retrieval metadata to the active + MLflow run when get_historical_features or get_online_features is + called. Defaults to True. """ + + auto_log_entity_df: StrictBool = False + """ bool: When True, the input entity_df (or SQL query) is recorded in + the MLflow run. Defaults to False. """ + + entity_df_max_rows: StrictInt = DEFAULT_ENTITY_DF_MAX_ROWS + """ int: Maximum number of entity DataFrame rows to save as an MLflow + artifact. DataFrames exceeding this limit are skipped to avoid + OOM and slow uploads. Defaults to 100000. """ + + log_operations: StrictBool = False + """ bool: Log feast apply and materialize operations to a separate + MLflow experiment. Opt-in to avoid noise. Defaults to False. """ + + ops_experiment_suffix: StrictStr = "-feast-ops" + """ str: Suffix appended to the project name to form the MLflow + experiment name for operation logs. Defaults to '-feast-ops'. """ + + def get_tracking_uri(self) -> Optional[str]: + """Resolve the effective tracking URI for this config instance.""" + return resolve_tracking_uri(self.tracking_uri) diff --git a/sdk/python/feast/mlflow_integration/entity_df_builder.py b/sdk/python/feast/mlflow_integration/entity_df_builder.py new file mode 100644 index 00000000000..9aa0c8ba528 --- /dev/null +++ b/sdk/python/feast/mlflow_integration/entity_df_builder.py @@ -0,0 +1,116 @@ +from __future__ import annotations + +import logging +from typing import TYPE_CHECKING, Any, Optional + +import pandas as pd + +if TYPE_CHECKING: + from feast import FeatureStore + +_logger = logging.getLogger(__name__) + + +class FeastMlflowEntityDfError(Exception): + """Raised when an entity DataFrame cannot be built from an MLflow run.""" + + pass + + +class FeastMlflowEntityDfBuilder: + """Reconstructs entity DataFrames from MLflow run artifacts. + + Instantiated once inside :class:`FeastMlflowClient` and reuses its + ``MlflowClient`` — no separate ``import mlflow`` needed. + """ + + def __init__(self, store: "FeatureStore", mlflow_mod: Any, client: Any): + self._store = store + self._mlflow = mlflow_mod + self._client = client + + def get_entity_df( + self, + run_id: str, + timestamp_column: str = "event_timestamp", + max_rows: Optional[int] = None, + ) -> pd.DataFrame: + """Build an entity DataFrame from an MLflow run's artifacts. + + Convention: the run should have an artifact named ``entity_df.parquet`` + (or ``entity_df.csv``), saved automatically when + ``auto_log_entity_df: true`` is set in ``feature_store.yaml``. + + Args: + run_id: The MLflow run ID. + timestamp_column: Expected name of the timestamp column in the + entity DataFrame. + max_rows: Optional limit on number of rows to load. + + Returns: + A ``pd.DataFrame`` suitable for passing to + ``store.get_historical_features(entity_df=...)``. + + Raises: + FeastMlflowEntityDfError: If run not found or no entity data + is available on the run. + """ + from mlflow.exceptions import MlflowException + + try: + self._client.get_run(run_id) + except MlflowException as e: + raise FeastMlflowEntityDfError(f"Run '{run_id}' not found: {e}") + + df = self._try_artifact(run_id, "entity_df.parquet", "parquet") + if df is not None: + if max_rows is not None: + df = df.head(max_rows) + self._validate_timestamp_col(df, timestamp_column) + return df + + df = self._try_artifact(run_id, "entity_df.csv", "csv") + if df is not None: + if max_rows is not None: + df = df.head(max_rows) + self._validate_timestamp_col(df, timestamp_column) + return df + + raise FeastMlflowEntityDfError( + f"No entity data found for run '{run_id}'. " + f"Expected artifact 'entity_df.parquet' or 'entity_df.csv'. " + f"Ensure auto_log_entity_df is enabled in feature_store.yaml." + ) + + def _try_artifact( + self, run_id: str, artifact_name: str, fmt: str + ) -> Optional[pd.DataFrame]: + try: + local_path = self._client.download_artifacts(run_id, artifact_name) + if fmt == "parquet": + return pd.read_parquet(local_path) + if fmt == "csv": + return pd.read_csv(local_path) + _logger.warning( + "Unsupported entity DataFrame format '%s' for artifact '%s'. " + "Only 'parquet' and 'csv' are supported.", + fmt, + artifact_name, + ) + return None + except Exception as e: + _logger.debug( + "Artifact '%s' not found for run '%s': %s", + artifact_name, + run_id, + e, + ) + return None + + @staticmethod + def _validate_timestamp_col(df: pd.DataFrame, col: str) -> None: + if col not in df.columns: + raise FeastMlflowEntityDfError( + f"Entity DataFrame missing required timestamp column '{col}'. " + f"Available columns: {list(df.columns)}" + ) diff --git a/sdk/python/feast/mlflow_integration/logger.py b/sdk/python/feast/mlflow_integration/logger.py new file mode 100644 index 00000000000..e538f97c7db --- /dev/null +++ b/sdk/python/feast/mlflow_integration/logger.py @@ -0,0 +1,375 @@ +from __future__ import annotations + +import logging +import time +from datetime import datetime +from typing import TYPE_CHECKING, Any, Dict, List, Optional + +import pandas as pd + +from feast.mlflow_integration.config import ( + MLFLOW_TAG_TRUNCATION_LIMIT, + MLFLOW_TAG_TRUNCATION_SLICE, +) + +if TYPE_CHECKING: + from feast import FeatureStore + from feast.feature_service import FeatureService + +_logger = logging.getLogger(__name__) + +_WARNING_INTERVAL_SECONDS = 300 + + +class FeastMlflowLogger: + """Handles all MLflow logging for Feast feature retrieval and operations. + + Instantiated once inside :class:`FeastMlflowClient` and reuses its + ``mlflow`` module reference and ``MlflowClient`` — no duplicate + ``import mlflow`` or client construction. + """ + + def __init__(self, store: "FeatureStore", mlflow_mod: Any, client: Any): + self._store = store + self._mlflow = mlflow_mod + self._client = client + self._tracking_uri = store.config.mlflow.get_tracking_uri() + self._consecutive_failures = 0 + self._last_warning_time = 0.0 + + def _truncate_for_tag(self, value: str) -> str: + if len(value) > MLFLOW_TAG_TRUNCATION_LIMIT: + return value[:MLFLOW_TAG_TRUNCATION_SLICE] + "..." + return value + + def _report_failure(self, msg: str, exc: Exception) -> None: + self._consecutive_failures += 1 + now = time.monotonic() + if ( + self._consecutive_failures == 1 + or (now - self._last_warning_time) >= _WARNING_INTERVAL_SECONDS + ): + _logger.warning( + "%s (failures=%d): %s", msg, self._consecutive_failures, exc + ) + self._last_warning_time = now + else: + _logger.debug("%s (failures=%d): %s", msg, self._consecutive_failures, exc) + + def _report_success(self) -> None: + self._consecutive_failures = 0 + + def log_feature_retrieval( + self, + feature_refs: List[str], + entity_count: int, + duration_seconds: float, + retrieval_type: str = "historical", + feature_service: Optional["FeatureService"] = None, + feature_service_name: Optional[str] = None, + ) -> bool: + """Log feature retrieval metadata to the active MLflow run.""" + active_run = self._mlflow.active_run() + if active_run is None: + return False + + try: + run_id = active_run.info.run_id + + if self._store.project: + self._client.set_tag(run_id, "feast.project", self._store.project) + self._client.set_tag(run_id, "feast.retrieval_type", retrieval_type) + + fs_name = None + if feature_service is not None: + fs_name = feature_service.name + elif feature_service_name is not None: + fs_name = feature_service_name + if fs_name: + self._client.set_tag(run_id, "feast.feature_service", fs_name) + + fv_names = sorted({ref.split(":")[0] for ref in feature_refs if ":" in ref}) + if fv_names: + fv_str = self._truncate_for_tag(",".join(fv_names)) + self._client.set_tag(run_id, "feast.feature_views", fv_str) + + refs_str = self._truncate_for_tag(",".join(feature_refs)) + self._client.set_tag(run_id, "feast.feature_refs", refs_str) + self._client.set_tag(run_id, "feast.entity_count", str(entity_count)) + self._client.set_tag(run_id, "feast.feature_count", str(len(feature_refs))) + + self._client.log_metric( + run_id, "feast.job_submission_sec", round(duration_seconds, 4) + ) + + self._report_success() + return True + except Exception as e: + self._report_failure("Failed to log feature retrieval to MLflow", e) + return False + + def log_training_dataset( + self, + df: pd.DataFrame, + dataset_name: str = "feast_training_data", + source: Optional[str] = None, + ) -> bool: + """Log a training DataFrame as an MLflow dataset input on the active run.""" + active_run = self._mlflow.active_run() + if active_run is None: + return False + + try: + dataset = self._mlflow.data.from_pandas( + df, + name=dataset_name, + source=source or "feast.get_historical_features", + ) + self._mlflow.log_input(dataset, context="training") + return True + except Exception as e: + self._report_failure("Failed to log training dataset to MLflow", e) + return False + + def _get_or_create_experiment(self, experiment_name: str) -> str: + exp = self._client.get_experiment_by_name(experiment_name) + if exp is not None: + return exp.experiment_id + return self._client.create_experiment(experiment_name) + + def log_apply( + self, + changed_objects: List[Any], + transition_types: Optional[Dict[str, str]] = None, + ) -> bool: + """Log a feast apply operation to a dedicated MLflow experiment.""" + try: + from feast import Entity, FeatureService + from feast.feature_view import FeatureView + + project = self._store.project + mlflow_cfg = self._store.config.mlflow + ops_suffix = mlflow_cfg.ops_experiment_suffix + + experiment_name = f"{project}{ops_suffix}" + experiment_id = self._get_or_create_experiment(experiment_name) + + fv_names: List[str] = [] + fs_names: List[str] = [] + entity_names: List[str] = [] + for obj in changed_objects: + if isinstance(obj, FeatureView): + fv_names.append(obj.name) + elif isinstance(obj, FeatureService): + fs_names.append(obj.name) + elif isinstance(obj, Entity) and obj.name != "__dummy": + entity_names.append(obj.name) + + run = self._client.create_run(experiment_id, run_name=f"apply_{project}") + run_id = run.info.run_id + try: + self._client.set_tag(run_id, "feast.operation", "apply") + self._client.set_tag(run_id, "feast.project", project) + if fv_names: + self._client.set_tag( + run_id, + "feast.feature_views_changed", + self._truncate_for_tag(",".join(fv_names)), + ) + if fs_names: + self._client.set_tag( + run_id, + "feast.feature_services_changed", + self._truncate_for_tag(",".join(fs_names)), + ) + if entity_names: + self._client.set_tag( + run_id, + "feast.entities_changed", + self._truncate_for_tag(",".join(entity_names)), + ) + self._client.log_metric( + run_id, "feast.apply.feature_views_count", len(fv_names) + ) + self._client.log_metric( + run_id, "feast.apply.feature_services_count", len(fs_names) + ) + self._client.log_metric( + run_id, "feast.apply.entities_count", len(entity_names) + ) + + if transition_types: + self._log_transition_tags( + run_id, + transition_types, + fv_names, + fs_names, + entity_names, + ) + finally: + self._client.set_terminated(run_id) + + self._report_success() + return True + except Exception as e: + self._report_failure("Failed to log apply to MLflow", e) + return False + + def _log_transition_tags( + self, + run_id: str, + transition_types: Dict[str, str], + fv_names: List[str], + fs_names: List[str], + entity_names: List[str], + ) -> None: + buckets: Dict[str, Dict[str, List[str]]] = { + "feature_views": {"created": [], "updated": [], "deleted": []}, + "feature_services": {"created": [], "updated": [], "deleted": []}, + "entities": {"created": [], "updated": [], "deleted": []}, + } + + for name in fv_names: + tt = transition_types.get(name, "").upper() + if tt in ("CREATE", "UPDATE", "DELETE"): + buckets["feature_views"][tt.lower() + "d"].append(name) + + for name in fs_names: + tt = transition_types.get(name, "").upper() + if tt in ("CREATE", "UPDATE", "DELETE"): + buckets["feature_services"][tt.lower() + "d"].append(name) + + for name in entity_names: + tt = transition_types.get(name, "").upper() + if tt in ("CREATE", "UPDATE", "DELETE"): + buckets["entities"][tt.lower() + "d"].append(name) + + for obj_type, transitions in buckets.items(): + for transition, names in transitions.items(): + if names: + self._client.set_tag( + run_id, + f"feast.{obj_type}_{transition}", + self._truncate_for_tag(",".join(names)), + ) + + def log_materialize( + self, + feature_view_names: List[str], + start_date: Optional[datetime], + end_date: datetime, + duration_seconds: float, + incremental: bool = False, + ) -> bool: + """Log a feast materialize operation to a dedicated MLflow experiment.""" + try: + project = self._store.project + mlflow_cfg = self._store.config.mlflow + ops_suffix = mlflow_cfg.ops_experiment_suffix + + experiment_name = f"{project}{ops_suffix}" + experiment_id = self._get_or_create_experiment(experiment_name) + + op_type = "materialize_incremental" if incremental else "materialize" + run = self._client.create_run( + experiment_id, run_name=f"{op_type}_{project}" + ) + run_id = run.info.run_id + try: + self._client.set_tag(run_id, "feast.operation", op_type) + self._client.set_tag(run_id, "feast.project", project) + self._client.set_tag( + run_id, + "feast.materialize.feature_views", + self._truncate_for_tag(",".join(feature_view_names)), + ) + if start_date: + self._client.log_param( + run_id, + "feast.materialize.start_date", + start_date.isoformat(), + ) + self._client.log_param( + run_id, + "feast.materialize.end_date", + end_date.isoformat(), + ) + self._client.log_metric( + run_id, + "feast.materialize.duration_sec", + round(duration_seconds, 4), + ) + finally: + self._client.set_terminated(run_id) + + self._report_success() + return True + except Exception as e: + self._report_failure("Failed to log materialize to MLflow", e) + return False + + def log_entity_df_metadata( + self, entity_df: Any, start_date: Any = None, end_date: Any = None + ) -> None: + """Log lightweight entity_df metadata to MLflow. + + Uses ``set_tag`` (not ``log_param``) so the metadata can safely be + updated when ``get_historical_features`` is called multiple times + within the same MLflow run. + """ + try: + if self._mlflow.active_run() is None: + return + run_id = self._mlflow.active_run().info.run_id + + if isinstance(entity_df, str): + if len(entity_df) > MLFLOW_TAG_TRUNCATION_LIMIT: + query = entity_df[:MLFLOW_TAG_TRUNCATION_SLICE] + "..." + else: + query = entity_df + self._client.set_tag(run_id, "feast.entity_df_query", query) + self._client.set_tag(run_id, "feast.entity_df_type", "sql") + + elif isinstance(entity_df, pd.DataFrame): + self._client.set_tag(run_id, "feast.entity_df_type", "dataframe") + self._client.set_tag( + run_id, "feast.entity_df_rows", str(len(entity_df)) + ) + cols = ",".join(entity_df.columns) + if len(cols) > MLFLOW_TAG_TRUNCATION_LIMIT: + cols = cols[:MLFLOW_TAG_TRUNCATION_SLICE] + "..." + self._client.set_tag(run_id, "feast.entity_df_columns", cols) + + elif entity_df is None and (start_date or end_date): + self._client.set_tag(run_id, "feast.entity_df_type", "range") + if start_date: + self._client.set_tag(run_id, "feast.start_date", str(start_date)) + if end_date: + self._client.set_tag(run_id, "feast.end_date", str(end_date)) + + except Exception as e: + _logger.debug("Failed to log entity_df metadata to MLflow: %s", e) + + def log_entity_df_artifact(self, entity_df: Any) -> None: + """Upload entity DataFrame as a parquet artifact to MLflow.""" + try: + import os + import tempfile + + if self._mlflow.active_run() is None: + return + if not isinstance(entity_df, pd.DataFrame): + return + + mlflow_cfg = self._store.config.mlflow + run_id = self._mlflow.active_run().info.run_id + + max_rows = mlflow_cfg.entity_df_max_rows + if len(entity_df) <= max_rows: + with tempfile.TemporaryDirectory() as tmp_dir: + path = os.path.join(tmp_dir, "entity_df.parquet") + entity_df.to_parquet(path, index=False) + self._client.log_artifact(run_id, path) + + except Exception as e: + _logger.debug("Failed to log entity_df artifact to MLflow: %s", e) diff --git a/sdk/python/feast/mlflow_integration/model_resolver.py b/sdk/python/feast/mlflow_integration/model_resolver.py new file mode 100644 index 00000000000..b2d94dccbee --- /dev/null +++ b/sdk/python/feast/mlflow_integration/model_resolver.py @@ -0,0 +1,138 @@ +from __future__ import annotations + +import json +import logging +import re +from typing import TYPE_CHECKING, Any, Optional + +if TYPE_CHECKING: + from feast import FeatureStore + +_logger = logging.getLogger(__name__) + + +class FeastMlflowModelResolutionError(Exception): + """Raised when a model URI cannot be resolved to a feature service.""" + + pass + + +class FeastMlflowModelResolver: + """Resolves MLflow model URIs to Feast feature service names. + + Instantiated once inside :class:`FeastMlflowClient` and reuses its + ``MlflowClient`` — no separate ``import mlflow`` needed. + """ + + def __init__(self, store: "FeatureStore", mlflow_mod: Any, client: Any): + self._store = store + self._mlflow = mlflow_mod + self._client = client + + def resolve(self, model_uri: str) -> str: + """Resolve the Feast feature service name for a given MLflow model URI. + + Resolution order: + 1. Model version tag ``feast.feature_service`` (explicit override). + 2. Training run tag ``feast.feature_service`` (set by auto-log). + + Args: + model_uri: MLflow model URI in the form + ``models://``. + + Raises: + FeastMlflowModelResolutionError: If URI is invalid, resolution + fails, or validation against the store fails. + """ + from mlflow.exceptions import MlflowException + + pattern = r"^models:/([^/]+)/(.+)$" + match = re.match(pattern, model_uri) + if not match: + raise FeastMlflowModelResolutionError( + f"Invalid model_uri format: '{model_uri}'. " + f"Expected 'models://'." + ) + + model_name, version_or_alias = match.group(1), match.group(2) + + try: + if version_or_alias.isdigit(): + mv = self._client.get_model_version(model_name, version_or_alias) + else: + mv = self._client.get_model_version_by_alias( + model_name, version_or_alias + ) + except MlflowException as e: + raise FeastMlflowModelResolutionError( + f"Could not resolve model '{model_uri}': {e}" + ) + + tags = mv.tags or {} + if "feast.feature_service" in tags: + fs_name = tags["feast.feature_service"] + else: + fs_name = self._resolve_from_run_tags(mv) + if fs_name is None: + raise FeastMlflowModelResolutionError( + f"Could not determine feature service for model '{model_uri}'. " + f"No 'feast.feature_service' tag found on the model version or " + f"its training run. Set the tag explicitly on the model version " + f"or ensure auto_log was enabled during training." + ) + + self._validate_feature_service(fs_name, mv) + return fs_name + + def _resolve_from_run_tags(self, model_version: Any) -> Optional[str]: + try: + run = self._client.get_run(model_version.run_id) + return run.data.tags.get("feast.feature_service") + except Exception as e: + _logger.debug("Could not read run tags for model version: %s", e) + return None + + def _validate_feature_service(self, fs_name: str, model_version: Any) -> None: + try: + fs = self._store.get_feature_service(fs_name) + except Exception: + raise FeastMlflowModelResolutionError( + f"Feature service '{fs_name}' not found in the Feast registry." + ) + + if not self._has_artifact(model_version.run_id, "feast_features.json"): + return + + try: + local_path = self._client.download_artifacts( + model_version.run_id, "feast_features.json" + ) + with open(local_path) as f: + expected_features = json.load(f) + + actual_features = [] + for proj in fs.feature_view_projections: + for feat in proj.features: + actual_features.append(f"{proj.name_to_use()}:{feat.name}") + + expected_set = set(expected_features) + actual_set = set(actual_features) + + if expected_set != actual_set: + missing = expected_set - actual_set + extra = actual_set - expected_set + raise FeastMlflowModelResolutionError( + f"Feature mismatch for service '{fs_name}'. " + f"Missing: {missing}, Extra: {extra}" + ) + except FeastMlflowModelResolutionError: + raise + except Exception as e: + _logger.debug("Could not validate feast_features.json: %s", e) + + def _has_artifact(self, run_id: str, artifact_name: str) -> bool: + try: + artifacts = self._client.list_artifacts(run_id) + return any(a.path == artifact_name for a in artifacts) + except Exception: + return False diff --git a/sdk/python/feast/repo_config.py b/sdk/python/feast/repo_config.py index 3fbcb9ec498..b8bc794aaf5 100644 --- a/sdk/python/feast/repo_config.py +++ b/sdk/python/feast/repo_config.py @@ -355,6 +355,9 @@ class RepoConfig(FeastBaseModel): openlineage_config: Optional[OpenLineageConfig] = Field(None, alias="openlineage") """ Configuration for OpenLineage data lineage integration (optional). """ + mlflow_config: Optional[Any] = Field(None, alias="mlflow") + """ MlflowConfig: Configuration for MLflow experiment tracking integration (optional). """ + def __init__(self, **data: Any): super().__init__(**data) @@ -395,6 +398,11 @@ def __init__(self, **data: Any): if "openlineage" in data: self.openlineage_config = data["openlineage"] + # Initialize MLflow configuration + self._mlflow = None + if "mlflow" in data: + self.mlflow_config = data["mlflow"] + if self.entity_key_serialization_version < 3: warnings.warn( "The serialization version below 3 are deprecated. " @@ -495,6 +503,18 @@ def openlineage(self) -> Optional[OpenLineageConfig]: self._openlineage = self.openlineage_config return self._openlineage + @property + def mlflow(self): + """Get the MLflow configuration.""" + if not self._mlflow: + if isinstance(self.mlflow_config, Dict): + from feast.mlflow_integration.config import MlflowConfig + + self._mlflow = MlflowConfig(**self.mlflow_config) + elif self.mlflow_config: + self._mlflow = self.mlflow_config + return self._mlflow + @model_validator(mode="before") def _validate_auth_config(cls, values: Any) -> Any: from feast.permissions.auth_model import AuthConfig diff --git a/sdk/python/feast/ui_server.py b/sdk/python/feast/ui_server.py index 22044ed3196..c4775ab3678 100644 --- a/sdk/python/feast/ui_server.py +++ b/sdk/python/feast/ui_server.py @@ -2,7 +2,7 @@ import logging import threading from importlib import resources as importlib_resources -from typing import Callable, Optional +from typing import Callable, Dict, List, Optional import uvicorn from fastapi import FastAPI, Response, status @@ -128,6 +128,275 @@ def get_app( with ui_dir.joinpath("projects-list.json").open(mode="w") as f: f.write(json.dumps(projects_dict)) + @app.get("/api/mlflow-runs") + def get_mlflow_runs(max_results: int = 50): + """Return MLflow runs linked to this Feast project via auto-logging.""" + mlflow_cfg = getattr(store.config, "mlflow", None) + if not mlflow_cfg or not mlflow_cfg.enabled: + return {"runs": [], "mlflow_uri": None} + + try: + import mlflow + + tracking_uri = mlflow_cfg.get_tracking_uri() + mlflow_ui_base = tracking_uri or mlflow.get_tracking_uri() or "" + client = mlflow.MlflowClient(tracking_uri=tracking_uri) + + project_name = store.config.project + experiment = client.get_experiment_by_name(project_name) + if experiment is None: + return {"runs": [], "mlflow_uri": mlflow_ui_base or None} + experiment_ids = [experiment.experiment_id] + + safe_project = project_name.replace("\\", "\\\\").replace("'", "\\'") + filter_str = ( + f"tags.`feast.project` = '{safe_project}' " + f"AND tags.`feast.retrieval_type` != ''" + ) + + max_results = min(max(max_results, 1), 200) + runs = client.search_runs( + experiment_ids=experiment_ids, + filter_string=filter_str, + max_results=max_results, + order_by=["start_time DESC"], + ) + + run_id_to_models: Dict[str, List[dict]] = {} + try: + for rm in client.search_registered_models(): + for mv in rm.latest_versions or []: + if mv.run_id: + run_id_to_models.setdefault(mv.run_id, []).append( + { + "model_name": rm.name, + "version": mv.version, + "stage": mv.current_stage, + "mlflow_url": ( + f"{mlflow_ui_base}/#/models/" + f"{rm.name}/versions/{mv.version}" + ), + } + ) + except Exception: + pass + + result = [] + for run in runs: + run_tags = run.data.tags + run_params = run.data.params + fv_raw = run_tags.get("feast.feature_views", "") + refs_raw = run_tags.get( + "feast.feature_refs", + run_params.get("feast.feature_refs", ""), + ) + result.append( + { + "run_id": run.info.run_id, + "run_name": run.info.run_name, + "status": run.info.status, + "start_time": run.info.start_time, + "feature_service": run_tags.get("feast.feature_service"), + "feature_views": [v for v in fv_raw.split(",") if v], + "feature_refs": [v for v in refs_raw.split(",") if v], + "retrieval_type": run_tags.get("feast.retrieval_type"), + "entity_count": run_tags.get( + "feast.entity_count", + run_params.get("feast.entity_count"), + ), + "mlflow_url": ( + f"{mlflow_ui_base}/#/experiments/" + f"{run.info.experiment_id}/runs/{run.info.run_id}" + ), + "registered_models": run_id_to_models.get(run.info.run_id, []), + } + ) + + return {"runs": result, "mlflow_uri": mlflow_ui_base or None} + except ImportError: + return { + "runs": [], + "mlflow_uri": None, + "error": "mlflow is not installed", + } + except Exception: + return { + "runs": [], + "mlflow_uri": None, + "error": "Failed to fetch MLflow runs", + } + + _feature_usage_cache: Dict = {"data": None, "timestamp": 0.0} + _FEATURE_USAGE_TTL_SECONDS = 300 + + @app.get("/api/mlflow-feature-usage") + def get_mlflow_feature_usage(): + """Return per-feature-view usage stats aggregated from MLflow runs. + + Caches results for 5 minutes to avoid hammering the MLflow server. + """ + import time as _time + + mlflow_cfg = getattr(store.config, "mlflow", None) + if not mlflow_cfg or not mlflow_cfg.enabled: + return {"feature_usage": {}, "mlflow_enabled": False} + + now = _time.monotonic() + if ( + _feature_usage_cache["data"] is not None + and (now - _feature_usage_cache["timestamp"]) < _FEATURE_USAGE_TTL_SECONDS + ): + return _feature_usage_cache["data"] + + try: + import mlflow + + tracking_uri = mlflow_cfg.get_tracking_uri() + client = mlflow.MlflowClient(tracking_uri=tracking_uri) + project_name = store.config.project + + experiment = client.get_experiment_by_name(project_name) + if experiment is None: + result = {"feature_usage": {}, "mlflow_enabled": True} + _feature_usage_cache["data"] = result + _feature_usage_cache["timestamp"] = now + return result + + safe_project = project_name.replace("\\", "\\\\").replace("'", "\\'") + filter_str = ( + f"tags.`feast.project` = '{safe_project}' " + f"AND tags.`feast.retrieval_type` != ''" + ) + runs = client.search_runs( + experiment_ids=[experiment.experiment_id], + filter_string=filter_str, + max_results=200, + order_by=["start_time DESC"], + ) + + run_id_to_models: Dict[str, List[str]] = {} + try: + for rm in client.search_registered_models(): + for mv in rm.latest_versions or []: + if mv.run_id: + run_id_to_models.setdefault(mv.run_id, []).append(rm.name) + except Exception: + pass + + usage: Dict[str, dict] = {} + for run in runs: + refs_raw = run.data.tags.get("feast.feature_refs", "") + fv_names = set() + for ref in refs_raw.split(","): + ref = ref.strip() + if ":" in ref: + fv_names.add(ref.split(":")[0]) + + run_models = run_id_to_models.get(run.info.run_id, []) + + for fv_name in fv_names: + if fv_name not in usage: + usage[fv_name] = { + "run_count": 0, + "last_used": None, + "models": [], + } + usage[fv_name]["run_count"] += 1 + run_ts = run.info.start_time + if usage[fv_name]["last_used"] is None or ( + run_ts and run_ts > usage[fv_name]["last_used"] + ): + usage[fv_name]["last_used"] = run_ts + for m in run_models: + if m not in usage[fv_name]["models"]: + usage[fv_name]["models"].append(m) + + result = {"feature_usage": usage, "mlflow_enabled": True} + _feature_usage_cache["data"] = result + _feature_usage_cache["timestamp"] = now + return result + except ImportError: + return { + "feature_usage": {}, + "mlflow_enabled": False, + "error": "mlflow is not installed", + } + except Exception as e: + logger.debug("Failed to fetch feature usage: %s", e) + return { + "feature_usage": {}, + "mlflow_enabled": True, + "error": "Failed to fetch usage data", + } + + @app.get("/api/mlflow-feature-models") + def get_mlflow_feature_models(): + """Return a mapping of feature_ref -> registered models that use it. + + Walks the MLflow Model Registry, inspects the training run for each + model's latest version(s), reads the ``feast.feature_refs`` tag, and + inverts it into a reverse index so the UI can show which registered + models depend on a given feature. + """ + mlflow_cfg = getattr(store.config, "mlflow", None) + if not mlflow_cfg or not mlflow_cfg.enabled: + return {"feature_models": {}} + + try: + import mlflow + + tracking_uri = mlflow_cfg.get_tracking_uri() + mlflow_ui_base = tracking_uri or mlflow.get_tracking_uri() or "" + client = mlflow.MlflowClient(tracking_uri=tracking_uri) + project_name = store.config.project + + feature_models: Dict[str, List[dict]] = {} + + for rm in client.search_registered_models(): + model_name = rm.name + latest_versions = rm.latest_versions or [] + for mv in latest_versions: + if not mv.run_id: + continue + try: + run = client.get_run(mv.run_id) + except Exception: + continue + + tags = run.data.tags + if tags.get("feast.project") != project_name: + continue + + refs_raw = tags.get("feast.feature_refs", "") + feature_refs = [r for r in refs_raw.split(",") if r] + + model_info = { + "model_name": model_name, + "version": mv.version, + "stage": mv.current_stage, + "mlflow_url": ( + f"{mlflow_ui_base}/#/models/" + f"{model_name}/versions/{mv.version}" + ), + } + + for ref in feature_refs: + feature_models.setdefault(ref, []).append(model_info) + + return {"feature_models": feature_models} + except ImportError: + return { + "feature_models": {}, + "error": "mlflow is not installed", + } + except Exception as e: + logger.debug("Failed to fetch MLflow feature-model mapping: %s", e) + return { + "feature_models": {}, + "error": "Failed to fetch model data", + } + + # For all other paths (such as paths that would otherwise be handled by react router), pass to React @app.api_route("/p/{path_name:path}", methods=["GET"]) def catch_all(): filename = ui_dir.joinpath("index.html") diff --git a/sdk/python/requirements/py3.10-ci-requirements.txt b/sdk/python/requirements/py3.10-ci-requirements.txt index 1436c1f1059..7806c7f4af7 100644 --- a/sdk/python/requirements/py3.10-ci-requirements.txt +++ b/sdk/python/requirements/py3.10-ci-requirements.txt @@ -136,6 +136,7 @@ aiohttp==3.13.5 \ # via # aiobotocore # fsspec + # mlflow aioitertools==0.13.0 \ --hash=sha256:0be0292b856f08dfac90e31f4739432f4cb6d7520ab9eb73e143f4f2fa5259be \ --hash=sha256:620bd241acc0bbb9ec819f1ab215866871b4bbd1f73836a55f799200ee86950c @@ -148,6 +149,10 @@ alabaster==0.7.16 \ --hash=sha256:75a8b99c28a5dad50dd7f8ccdd447a121ddb3892da9e53d1ca5cca3106d58d65 \ --hash=sha256:b46733c07dce03ae4e150330b975c75737fa60f0a7c591b6c8bf4928a28e2c92 # via sphinx +alembic==1.18.4 \ + --hash=sha256:a5ed4adcf6d8a4cb575f3d759f071b03cd6e5c7618eb796cb52497be25bfe19a \ + --hash=sha256:cb6e1fd84b6174ab8dbb2329f86d631ba9559dd78df550b57804d607672cedbc + # via mlflow altair==4.2.2 \ --hash=sha256:39399a267c49b30d102c10411e67ab26374156a84b1aeb9fcd15140429ba49c5 \ --hash=sha256:8b45ebeaf8557f2d760c5c77b79f02ae12aee7c46c27c06014febab6f849bc87 @@ -261,9 +266,9 @@ azure-identity==1.25.3 \ --hash=sha256:ab23c0d63015f50b630ef6c6cf395e7262f439ce06e5d07a64e874c724f8d9e6 \ --hash=sha256:f4d0b956a8146f30333e071374171f3cfa7bdb8073adb8c3814b65567aa7447c # via feast (pyproject.toml) -azure-storage-blob==12.28.0 \ - --hash=sha256:00fb1db28bf6a7b7ecaa48e3b1d5c83bfadacc5a678b77826081304bd87d6461 \ - --hash=sha256:e7d98ea108258d29aa0efbfd591b2e2075fa1722a2fae8699f0b3c9de11eff41 +azure-storage-blob==12.29.0 \ + --hash=sha256:2824ddd7ebc9056034ebc76b17971a38e9aa5835abb0d565b9700493f2a6c657 \ + --hash=sha256:ccf8a1bcd5e49df83ab85aab793b579e5ba2eeea2ad8900b2f62ca3a37dc391f # via feast (pyproject.toml) babel==2.18.0 \ --hash=sha256:b80b99a14bd085fcacfa15c9165f651fbb3406e66cc603abf11c5750937c992d \ @@ -285,6 +290,10 @@ bleach[css]==6.3.0 \ --hash=sha256:6f3b91b1c0a02bb9a78b5a454c92506aa0fdf197e1d5e114d2e00c6f64306d22 \ --hash=sha256:fe10ec77c93ddf3d13a73b035abaac7a9f5e436513864ccdad516693213c65d6 # via nbconvert +blinker==1.9.0 \ + --hash=sha256:b4ce2265a7abece45e7cc896e98dbebe6cead56bcf805a3d23136d145f5445bf \ + --hash=sha256:ba0efaa9080b619ff2f3459d1d500c57bddea4a6b424b60a91141db6fd2f08bc + # via flask boto3==1.38.27 \ --hash=sha256:94bd7fdd92d5701b362d4df100d21e28f8307a67ff56b6a8b0398119cf22f859 \ --hash=sha256:95f5fe688795303a8a15e8b7e7f255cadab35eae459d00cc281a4fd77252ea80 @@ -308,6 +317,12 @@ build==1.5.0 \ # feast (pyproject.toml) # pip-tools # singlestoredb +cachetools==7.1.3 \ + --hash=sha256:135cfe944bc3c1e805505f65dae0bef375a2f96261171ab66c79ef77d0bda39d \ + --hash=sha256:9876787e2346e20584d5cca236cb5d49d04e7193de91646f230725b2e1e8b804 + # via + # mlflow-skinny + # mlflow-tracing cassandra-driver==3.30.0 \ --hash=sha256:0c28a8e84917acebecbaed39844047c2f135739c3627dd7b9f8541af33e11df3 \ --hash=sha256:0f4225082a11d9529416c223553ab38a29c4e65da6646b40159c554480dc002c \ @@ -575,14 +590,16 @@ charset-normalizer==3.4.7 \ # via # requests # snowflake-connector-python -click==8.3.3 \ - --hash=sha256:398329ad4837b2ff7cbe1dd166a4c0f8900c3ca3a218de04466f38f6497f18a2 \ - --hash=sha256:a2bf429bb3033c89fa4936ffb35d5cb471e3719e1f3c8a7c3fff0b8314305613 +click==8.4.0 \ + --hash=sha256:40c50b7c6c6adac2823d411041ec84f3f103f1b280d5e9ce0d7f998995832f81 \ + --hash=sha256:638f1338fe1235c8f4e008e4a8a254fb5c5fbdcbb40ece3c9142ebb78e792973 # via # feast (pyproject.toml) # dask + # flask # geomet # great-expectations + # mlflow-skinny # pip-tools # ray # typer @@ -593,6 +610,7 @@ clickhouse-connect==1.0.0 \ --hash=sha256:04ba770a1e3d0f2d093fc7400d2da0e121b55b092b65250d738e09b0139a594e \ --hash=sha256:07c23806a5dd00e95d7edd75796a2667234e99934033fb8f39659f58eb18fab1 \ --hash=sha256:0a6faf07cfb16feb345c36dc5e2895a655d923ef64f10ff616eca44dfe5cc5b0 \ + --hash=sha256:0d4ed1e296c6e77dc0dbf486607cc39fc6e36866abb653543d5ad0a8426ea8f0 \ --hash=sha256:0fcccd2b49d57a09e465fc0c01c7c323f0db637241b3fc93d869d1b256c46184 \ --hash=sha256:1265ab0139fcf6fd36d358697a1a4dab313a6bdb7ab9a9bc8ecc3f656f16dee3 \ --hash=sha256:1415f440ae59b03e10bd5cc11c0034f30ad5f8fad74b42153926482c99ac21eb \ @@ -645,7 +663,9 @@ clickhouse-connect==1.0.0 \ cloudpickle==3.1.2 \ --hash=sha256:7fda9eb655c9c230dab534f1983763de5835249750e85fbcef43aaa30a9a2414 \ --hash=sha256:9acb47f6afd73f60dc1df93bb801b472f05ff42fa6c84167d25cb206be1fbf4a - # via dask + # via + # dask + # mlflow-skinny colorama==0.4.6 \ --hash=sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44 \ --hash=sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6 @@ -658,6 +678,65 @@ comm==0.2.3 \ # via # ipykernel # ipywidgets +contourpy==1.3.2 \ + --hash=sha256:0475b1f6604896bc7c53bb070e355e9321e1bc0d381735421a2d2068ec56531f \ + --hash=sha256:106fab697af11456fcba3e352ad50effe493a90f893fca6c2ca5c033820cea92 \ + --hash=sha256:107ba8a6a7eec58bb475329e6d3b95deba9440667c4d62b9b6063942b61d7f16 \ + --hash=sha256:15ce6ab60957ca74cff444fe66d9045c1fd3e92c8936894ebd1f3eef2fff075f \ + --hash=sha256:1c48188778d4d2f3d48e4643fb15d8608b1d01e4b4d6b0548d9b336c28fc9b6f \ + --hash=sha256:3859783aefa2b8355697f16642695a5b9792e7a46ab86da1118a4a23a51a33d7 \ + --hash=sha256:3d80b2c0300583228ac98d0a927a1ba6a2ba6b8a742463c564f1d419ee5b211e \ + --hash=sha256:3f9e896f447c5c8618f1edb2bafa9a4030f22a575ec418ad70611450720b5b08 \ + --hash=sha256:434f0adf84911c924519d2b08fc10491dd282b20bdd3fa8f60fd816ea0b48841 \ + --hash=sha256:49b65a95d642d4efa8f64ba12558fcb83407e58a2dfba9d796d77b63ccfcaff5 \ + --hash=sha256:4caf2bcd2969402bf77edc4cb6034c7dd7c0803213b3523f111eb7460a51b8d2 \ + --hash=sha256:532fd26e715560721bb0d5fc7610fce279b3699b018600ab999d1be895b09415 \ + --hash=sha256:5ebac872ba09cb8f2131c46b8739a7ff71de28a24c869bcad554477eb089a878 \ + --hash=sha256:5f5964cdad279256c084b69c3f412b7801e15356b16efa9d78aa974041903da0 \ + --hash=sha256:65a887a6e8c4cd0897507d814b14c54a8c2e2aa4ac9f7686292f9769fcf9a6ab \ + --hash=sha256:6a37a2fb93d4df3fc4c0e363ea4d16f83195fc09c891bc8ce072b9d084853445 \ + --hash=sha256:70771a461aaeb335df14deb6c97439973d253ae70660ca085eec25241137ef43 \ + --hash=sha256:71e2bd4a1c4188f5c2b8d274da78faab884b59df20df63c34f74aa1813c4427c \ + --hash=sha256:745b57db7758f3ffc05a10254edd3182a2a83402a89c00957a8e8a22f5582823 \ + --hash=sha256:78e9253c3de756b3f6a5174d024c4835acd59eb3f8e2ca13e775dbffe1558f69 \ + --hash=sha256:82199cb78276249796419fe36b7386bd8d2cc3f28b3bc19fe2454fe2e26c4c15 \ + --hash=sha256:8b7fc0cd78ba2f4695fd0a6ad81a19e7e3ab825c31b577f384aa9d7817dc3bef \ + --hash=sha256:8c5acb8dddb0752bf252e01a3035b21443158910ac16a3b0d20e7fed7d534ce5 \ + --hash=sha256:8c942a01d9163e2e5cfb05cb66110121b8d07ad438a17f9e766317bcb62abf73 \ + --hash=sha256:8d2e74acbcba3bfdb6d9d8384cdc4f9260cae86ed9beee8bd5f54fee49a430b9 \ + --hash=sha256:90df94c89a91b7362e1142cbee7568f86514412ab8a2c0d0fca72d7e91b62912 \ + --hash=sha256:970e9173dbd7eba9b4e01aab19215a48ee5dd3f43cef736eebde064a171f89a5 \ + --hash=sha256:977e98a0e0480d3fe292246417239d2d45435904afd6d7332d8455981c408b85 \ + --hash=sha256:9be002b31c558d1ddf1b9b415b162c603405414bacd6932d031c5b5a8b757f0d \ + --hash=sha256:ad687a04bc802cbe8b9c399c07162a3c35e227e2daccf1668eb1f278cb698631 \ + --hash=sha256:b4f54d6a2defe9f257327b0f243612dd051cc43825587520b1bf74a31e2f6ef2 \ + --hash=sha256:b6945942715a034c671b7fc54f9588126b0b8bf23db2696e3ca8328f3ff0ab54 \ + --hash=sha256:b7cd50c38f500bbcc9b6a46643a40e0913673f869315d8e70de0438817cb7773 \ + --hash=sha256:ba38e3f9f330af820c4b27ceb4b9c7feee5fe0493ea53a8720f4792667465934 \ + --hash=sha256:c440093bbc8fc21c637c03bafcbef95ccd963bc6e0514ad887932c18ca2a759a \ + --hash=sha256:c49f73e61f1f774650a55d221803b101d966ca0c5a2d6d5e4320ec3997489441 \ + --hash=sha256:c66c4906cdbc50e9cba65978823e6e00b45682eb09adbb78c9775b74eb222422 \ + --hash=sha256:c6c4639a9c22230276b7bffb6a850dfc8258a2521305e1faefe804d006b2e532 \ + --hash=sha256:c85bb486e9be652314bb5b9e2e3b0d1b2e643d5eec4992c0fbe8ac71775da739 \ + --hash=sha256:cc829960f34ba36aad4302e78eabf3ef16a3a100863f0d4eeddf30e8a485a03b \ + --hash=sha256:cdd22595308f53ef2f891040ab2b93d79192513ffccbd7fe19be7aa773a5e09f \ + --hash=sha256:d0e589ae0d55204991450bb5c23f571c64fe43adaa53f93fc902a84c96f52fe1 \ + --hash=sha256:d14f12932a8d620e307f715857107b1d1845cc44fdb5da2bc8e850f5ceba9f87 \ + --hash=sha256:d32530b534e986374fc19eaa77fcb87e8a99e5431499949b828312bdcd20ac52 \ + --hash=sha256:d6658ccc7251a4433eebd89ed2672c2ed96fba367fd25ca9512aa92a4b46c4f1 \ + --hash=sha256:d91a3ccc7fea94ca0acab82ceb77f396d50a1f67412efe4c526f5d20264e6ecd \ + --hash=sha256:dc41ba0714aa2968d1f8674ec97504a8f7e334f48eeacebcaa6256213acb0989 \ + --hash=sha256:de39db2604ae755316cb5967728f4bea92685884b1e767b7c24e983ef5f771cb \ + --hash=sha256:de425af81b6cea33101ae95ece1f696af39446db9682a0b56daaa48cfc29f38f \ + --hash=sha256:ded1706ed0c1049224531b81128efbd5084598f18d8a2d9efae833edbd2b40ad \ + --hash=sha256:e1578f7eafce927b168752ed7e22646dad6cd9bca673c60bff55889fa236ebf9 \ + --hash=sha256:e259bced5549ac64410162adc973c5e2fb77f04df4a439d00b478e57a0e65512 \ + --hash=sha256:e298e7e70cf4eb179cc1077be1c725b5fd131ebc81181bf0c03525c8abc297fd \ + --hash=sha256:eab0f6db315fa4d70f1d8ab514e527f0366ec021ff853d7ed6a2d33605cf4b83 \ + --hash=sha256:f26b383144cf2d2c29f01a1e8170f50dacf0eac02d64139dcd709a8ac4eb3cfe \ + --hash=sha256:f939a054192ddc596e031e50bb13b657ce318cf13d264f095ce9db7dc6ae81c0 \ + --hash=sha256:fd93cc7f3139b6dd7aab2f26a90dde0aa9fc264dbf70f6740d498a70b860b82c + # via matplotlib couchbase==4.3.2 \ --hash=sha256:032a180afd6621358b2c73543b9c5db9939b442fc3ad6d54417c36c8a8f65838 \ --hash=sha256:11ce688ed46edf8387bf51866618c7b4e06399e7fb34a6df002764996c109d1f \ @@ -832,56 +911,56 @@ coverage[toml]==7.14.0 \ --hash=sha256:fb609b3658479e33f9516d46f1a89dbb9b6c261366e3a11844a96ec487533dae \ --hash=sha256:fcaba850dd317c65423a9d63d88f9573c53b00354d6dd95724576cc98a131595 # via pytest-cov -cryptography==48.0.0 \ - --hash=sha256:0890f502ddf7d9c6426129c3f49f5c0a39278ed7cd6322c8755ffca6ee675a13 \ - --hash=sha256:0c558d2cdffd8f4bbb30fc7134c74d2ca9a476f830bb053074498fbc86f41ed6 \ - --hash=sha256:16cd65b9330583e4619939b3a3843eec1e6e789744bb01e7c7e2e62e33c239c8 \ - --hash=sha256:18349bbc56f4743c8b12dc32e2bccb2cf83ee8b69a3bba74ef8ae857e26b3d25 \ - --hash=sha256:1e2d54c8be6152856a36f0882ab231e70f8ec7f14e93cf87db8a2ed056bf160c \ - --hash=sha256:22a5cb272895dce158b2cacdfdc3debd299019659f42947dbdac6f32d68fe832 \ - --hash=sha256:27241b1dc9962e056062a8eef1991d02c3a24569c95975bd2322a8a52c6e5e12 \ - --hash=sha256:2b4d59804e8408e2fea7d1fbaf218e5ec984325221db76e6a241a9abd6cdd95c \ - --hash=sha256:2eb992bbd4661238c5a397594c83f5b4dc2bc5b848c365c8f991b6780efcc5c7 \ - --hash=sha256:369a6348999f94bbd53435c894377b20ab95f25a9065c283570e70150d8abc3c \ - --hash=sha256:3cb07a3ed6431663cd321ea8a000a1314c74211f823e4177fefa2255e057d1ec \ - --hash=sha256:40ba1f85eaa6959837b1d51c9767e230e14612eea4ef110ee8854ada22da1bf5 \ - --hash=sha256:4defde8685ae324a9eb9d818717e93b4638ef67070ac9bc15b8ca85f63048355 \ - --hash=sha256:55b7718303bf06a5753dcdccf2f3945cf18ad7bffde41b61226e4db31ab89a9c \ - --hash=sha256:561215ea3879cb1cbbf272867e2efda62476f240fb58c64de6b393ae19246741 \ - --hash=sha256:58d00498e8933e4a194f3076aee1b4a97dfec1a6da444535755822fe5d8b0b86 \ - --hash=sha256:59baa2cb386c4f0b9905bd6eb4c2a79a69a128408fd31d32ca4d7102d4156321 \ - --hash=sha256:5a5ed8fde7a1d09376ca0b40e68cd59c69fe23b1f9768bd5824f54681626032a \ - --hash=sha256:5b012212e08b8dd5edc78ef54da83dd9892fd9105323b3993eff6bea65dc21d7 \ - --hash=sha256:5c3932f4436d1cccb036cb0eaef46e6e2db91035166f1ad6505c3c9d5a635920 \ - --hash=sha256:614d0949f4790582d2cc25553abd09dd723025f0c0e7c67376a1d77196743d6e \ - --hash=sha256:76341972e1eff8b4bea859f09c0d3e64b96ce931b084f9b9b7db8ef364c30eff \ - --hash=sha256:77a2ccbbe917f6710e05ba9adaa25fb5075620bf3ea6fb751997875aff4ae4bd \ - --hash=sha256:7995ef305d7165c3f11ae07f2517e5a4f1d5c18da1376a0a9ed496336b69e5f3 \ - --hash=sha256:7ce4bfae76319a532a2dc68f82cc32f5676ee792a983187dac07183690e5c66f \ - --hash=sha256:7e8eac43dfca5c4cccc6dad9a80504436fca53bb9bc3100a2386d730fbe6b602 \ - --hash=sha256:84cf79f0dc8b36ac5da873481716e87aef31fcfa0444f9e1d8b4b2cece142855 \ - --hash=sha256:8c7378637d7d88016fa6791c159f698b3d3eed28ebf844ac36b9dc04a14dae18 \ - --hash=sha256:8cd666227ef7af430aa5914a9910e0ddd703e75f039cef0825cd0da71b6b711a \ - --hash=sha256:906cbf0670286c6e0044156bc7d4af9cbb0ef6db9f73e52c3ec56ba6bdde5336 \ - --hash=sha256:9071196d81abc88b3516ac8cdfad32e2b66dd4a5393a8e68a961e9161ddc6239 \ - --hash=sha256:9249e3cd978541d665967ac2cb2787fd6a62bddf1e75b3e347a594d7dacf4f74 \ - --hash=sha256:984a20b0f62a26f48a3396c72e4bc34c66e356d356bf370053066b3b6d54634a \ - --hash=sha256:9be5aafa5736574f8f15f262adc81b2a9869e2cfe9014d52a44633905b40d52c \ - --hash=sha256:9c459db21422be75e2809370b829a87eb37f74cd785fc4aa9ea1e5f43b47cda4 \ - --hash=sha256:9ccdac7d40688ecb5a3b4a604b8a88c8002e3442d6c60aead1db2a89a041560c \ - --hash=sha256:a0e692c683f4df67815a2d258b324e66f4738bd7a96a218c826dce4f4bd05d8f \ - --hash=sha256:a5da777e32ffed6f85a7b2b3f7c5cbc88c146bfcd0a1d7baf5fcc6c52ee35dd4 \ - --hash=sha256:a64697c641c7b1b2178e573cbc31c7c6684cd56883a478d75143dbb7118036db \ - --hash=sha256:ad64688338ed4bc1a6618076ba75fd7194a5f1797ac60b47afe926285adb3166 \ - --hash=sha256:bd72e68b06bb1e96913f97dd4901119bc17f39d4586a5adf2d3e47bc2b9d58b5 \ - --hash=sha256:c17dfe85494deaeddc5ce251aebd1d60bbe6afc8b62071bb0b469431a000124f \ - --hash=sha256:c18684a7f0cc9a3cb60328f496b8e3372def7c5d2df39ac267878b05565aaaae \ - --hash=sha256:cc90c0b39b2e3c65ef52c804b72e3c58f8a04ab2a1871272798e5f9572c17d20 \ - --hash=sha256:db63bf618e5dea46c07de12e900fe1cdd2541e6dc9dbae772a70b7d4d4765f6a \ - --hash=sha256:ea8990436d914540a40ab24b6a77c0969695ed52f4a4874c5137ccf7045a7057 \ - --hash=sha256:ecde28a596bead48b0cfd2a1b4416c3d43074c2d785e3a398d7ec1fc4d0f7fbb \ - --hash=sha256:f5333311663ea94f75dd408665686aaf426563556bb5283554a3539177e03b8c \ - --hash=sha256:fdfef35d751d510fcef5252703621574364fec16418c4a1e5e1055248401054b +cryptography==46.0.7 \ + --hash=sha256:04959522f938493042d595a736e7dbdff6eb6cc2339c11465b3ff89343b65f65 \ + --hash=sha256:128c5edfe5e5938b86b03941e94fac9ee793a94452ad1365c9fc3f4f62216832 \ + --hash=sha256:1d25aee46d0c6f1a501adcddb2d2fee4b979381346a78558ed13e50aa8a59067 \ + --hash=sha256:24402210aa54baae71d99441d15bb5a1919c195398a87b563df84468160a65de \ + --hash=sha256:258514877e15963bd43b558917bc9f54cf7cf866c38aa576ebf47a77ddbc43a4 \ + --hash=sha256:35719dc79d4730d30f1c2b6474bd6acda36ae2dfae1e3c16f2051f215df33ce0 \ + --hash=sha256:397655da831414d165029da9bc483bed2fe0e75dde6a1523ec2fe63f3c46046b \ + --hash=sha256:3986ac1dee6def53797289999eabe84798ad7817f3e97779b5061a95b0ee4968 \ + --hash=sha256:420b1e4109cc95f0e5700eed79908cef9268265c773d3a66f7af1eef53d409ef \ + --hash=sha256:42a1e5f98abb6391717978baf9f90dc28a743b7d9be7f0751a6f56a75d14065b \ + --hash=sha256:462ad5cb1c148a22b2e3bcc5ad52504dff325d17daf5df8d88c17dda1f75f2a4 \ + --hash=sha256:506c4ff91eff4f82bdac7633318a526b1d1309fc07ca76a3ad182cb5b686d6d3 \ + --hash=sha256:5ad9ef796328c5e3c4ceed237a183f5d41d21150f972455a9d926593a1dcb308 \ + --hash=sha256:5d1c02a14ceb9148cc7816249f64f623fbfee39e8c03b3650d842ad3f34d637e \ + --hash=sha256:5e51be372b26ef4ba3de3c167cd3d1022934bc838ae9eaad7e644986d2a3d163 \ + --hash=sha256:60627cf07e0d9274338521205899337c5d18249db56865f943cbe753aa96f40f \ + --hash=sha256:65814c60f8cc400c63131584e3e1fad01235edba2614b61fbfbfa954082db0ee \ + --hash=sha256:73510b83623e080a2c35c62c15298096e2a5dc8d51c3b4e1740211839d0dea77 \ + --hash=sha256:7bbc6ccf49d05ac8f7d7b5e2e2c33830d4fe2061def88210a126d130d7f71a85 \ + --hash=sha256:80406c3065e2c55d7f49a9550fe0c49b3f12e5bfff5dedb727e319e1afb9bf99 \ + --hash=sha256:84d4cced91f0f159a7ddacad249cc077e63195c36aac40b4150e7a57e84fffe7 \ + --hash=sha256:8a469028a86f12eb7d2fe97162d0634026d92a21f3ae0ac87ed1c4a447886c83 \ + --hash=sha256:91bbcb08347344f810cbe49065914fe048949648f6bd5c2519f34619142bbe85 \ + --hash=sha256:935ce7e3cfdb53e3536119a542b839bb94ec1ad081013e9ab9b7cfd478b05006 \ + --hash=sha256:9694078c5d44c157ef3162e3bf3946510b857df5a3955458381d1c7cfc143ddb \ + --hash=sha256:a1529d614f44b863a7b480c6d000fe93b59acee9c82ffa027cfadc77521a9f5e \ + --hash=sha256:abad9dac36cbf55de6eb49badd4016806b3165d396f64925bf2999bcb67837ba \ + --hash=sha256:b36a4695e29fe69215d75960b22577197aca3f7a25b9cf9d165dcfe9d80bc325 \ + --hash=sha256:b7b412817be92117ec5ed95f880defe9cf18a832e8cafacf0a22337dc1981b4d \ + --hash=sha256:c5b1ccd1239f48b7151a65bc6dd54bcfcc15e028c8ac126d3fada09db0e07ef1 \ + --hash=sha256:cbd5fb06b62bd0721e1170273d3f4d5a277044c47ca27ee257025146c34cbdd1 \ + --hash=sha256:cdf1a610ef82abb396451862739e3fc93b071c844399e15b90726ef7470eeaf2 \ + --hash=sha256:cdfbe22376065ffcf8be74dc9a909f032df19bc58a699456a21712d6e5eabfd0 \ + --hash=sha256:d02c738dacda7dc2a74d1b2b3177042009d5cab7c7079db74afc19e56ca1b455 \ + --hash=sha256:d151173275e1728cf7839aaa80c34fe550c04ddb27b34f48c232193df8db5842 \ + --hash=sha256:d23c8ca48e44ee015cd0a54aeccdf9f09004eba9fc96f38c911011d9ff1bd457 \ + --hash=sha256:d3b99c535a9de0adced13d159c5a9cf65c325601aa30f4be08afd680643e9c15 \ + --hash=sha256:d5f7520159cd9c2154eb61eb67548ca05c5774d39e9c2c4339fd793fe7d097b2 \ + --hash=sha256:db0f493b9181c7820c8134437eb8b0b4792085d37dbb24da050476ccb664e59c \ + --hash=sha256:e06acf3c99be55aa3b516397fe42f5855597f430add9c17fa46bf2e0fb34c9bb \ + --hash=sha256:e4cfd68c5f3e0bfdad0d38e023239b96a2fe84146481852dffbcca442c245aa5 \ + --hash=sha256:ea42cbe97209df307fdc3b155f1b6fa2577c0defa8f1f7d3be7d31d189108ad4 \ + --hash=sha256:ebd6daf519b9f189f85c479427bbd6e9c9037862cf8fe89ee35503bd209ed902 \ + --hash=sha256:f247c8c1a1fb45e12586afbb436ef21ff1e80670b2861a90353d9b025583d246 \ + --hash=sha256:fbfd0e5f273877695cb93baf14b185f4878128b250cc9f8e617ea0c025dfb022 \ + --hash=sha256:fc9ab8856ae6cf7c9358430e49b368f3108f050031442eaeb6b9d87e4dcf4e4f \ + --hash=sha256:fcd8eac50d9138c1d7fc53a653ba60a2bee81a505f9f8850b6b2888555a45d0e \ + --hash=sha256:fdd1736fed309b4300346f88f74cd120c27c56852c3838cab416e7a166f67298 \ + --hash=sha256:ffca7aa1d00cf7d6469b988c581598f2259e46215e0140af408966a24cf086ce # via # feast (pyproject.toml) # azure-identity @@ -889,6 +968,7 @@ cryptography==48.0.0 \ # google-auth # great-expectations # jwcrypto + # mlflow # moto # msal # oracledb @@ -897,10 +977,20 @@ cryptography==48.0.0 \ # snowflake-connector-python # types-pyopenssl # types-redis +cycler==0.12.1 \ + --hash=sha256:85cef7cff222d8644161529808465972e51340599459b8ac3ccbac5a854e0d30 \ + --hash=sha256:88bb128f02ba341da8ef447245a9e138fae777f6a23943da4540077d3601eb1c + # via matplotlib dask[dataframe]==2026.3.0 \ --hash=sha256:be614b9242b0b38288060fb2d7696125946469c98a1c30e174883fd199e0428d \ --hash=sha256:f7d96c8274e8a900d217c1ff6ea8d1bbf0b4c2c21e74a409644498d925eb8f85 # via feast (pyproject.toml) +databricks-sdk==0.109.0 \ + --hash=sha256:46745a25324a5b36f01236760e44fc6e2bce3f051224e6f8aef7633477fcbec8 \ + --hash=sha256:96b90f5ee2e0fac89f351aa77348263e1e0ed5d4d867cdfaefd2e0acc01b1e81 + # via + # mlflow-skinny + # mlflow-tracing datasets==4.8.5 \ --hash=sha256:0f0c1c3d56ffff2c93b2f4c63c95bac94f3d7e8621aea2a2a576275233bba772 \ --hash=sha256:5079900781719c0e063a8efdd2cd95a31ad0c63209178669cd23cf1b926149ff @@ -947,9 +1037,9 @@ debugpy==1.8.20 \ --hash=sha256:eada6042ad88fa1571b74bd5402ee8b86eded7a8f7b827849761700aff171f1b \ --hash=sha256:eb506e45943cab2efb7c6eafdd65b842f3ae779f020c82221f55aca9de135ed7 # via ipykernel -decorator==5.2.1 \ - --hash=sha256:65f266143752f734b0a7cc83c46f4618af75b8c5911b00ccb61d0ac9b6da0360 \ - --hash=sha256:d316bb415a2d9e2d2b3abcc4084c6502fc09240e292cd76a76afc106a1c8e04a +decorator==5.3.1 \ + --hash=sha256:4cbcdd55a6efadb9dbea26b858f4fb3264567b52d69ca0d25b721b553f60ea82 \ + --hash=sha256:f47fe6fdbd2edd623ecfe36875d37aba411624e2670dd395dddae1358689bb3c # via ipython defusedxml==0.7.1 \ --hash=sha256:1bb3032db185915b62d7c6209c5a8792be6a32ab2fedacc84e01b52c51aa3e69 \ @@ -969,7 +1059,9 @@ deltalake==0.25.5 \ deprecated==1.3.1 \ --hash=sha256:597bfef186b6f60181535a29fbe44865ce137a5079f295b479886c82729d5f3f \ --hash=sha256:b1b50e0ff0c1fddaa5708a2c6b0a6588bb09b892825ab2b214ac9ea9d92a5223 - # via cassandra-driver + # via + # cassandra-driver + # opentelemetry-api deprecation==2.1.0 \ --hash=sha256:72b3bde64e5d778694b0cf68178aed03d15e15477116add3fb773e581f9518ff \ --hash=sha256:a10811591210e1fb0e768a8c25517cabeabcba6f0bf96564f8ff45189f90b14a @@ -994,14 +1086,16 @@ dnspython==2.8.0 \ docker==7.1.0 \ --hash=sha256:ad8c70e6e3f8926cb8a92619b832b4ea5299e2831c14284663184e200546fa6c \ --hash=sha256:c96b93b7f0a746f9e77d325bcfb87422a3d8bd4f03136ae8a85b37f1898d5fc0 - # via testcontainers + # via + # mlflow + # testcontainers docling==2.27.0 \ --hash=sha256:1288ed75b27e33bf94daff34faffc6d11b7d7ccc13e3df84fb24adad3991f72d \ --hash=sha256:faba35662612a2c687a3a463e501d95f645316436084af92a0442ce162429a3d # via feast (pyproject.toml) -docling-core[chunking]==2.75.0 \ - --hash=sha256:60f7bc4025f6511ba82eeb0aa677e756e9d3bf069d6f207c6ef2fb8be3176f32 \ - --hash=sha256:7961be3c3f58855324b081fce9e1231b892da7c61d6babbaf3d49c28387eb782 +docling-core[chunking]==2.76.0 \ + --hash=sha256:55af705c6d0755254afddb959fe5dea3a6d413d3ea7539e380bb008268806316 \ + --hash=sha256:e4f681ad434cb45ba93bd3afaab62c5d910bf9ac6b3fdb98b12ee2e476bb75a4 # via # docling # docling-ibm-models @@ -1151,6 +1245,7 @@ fastapi==0.136.1 \ # via # feast (pyproject.toml) # fastapi-mcp + # mlflow-skinny fastapi-mcp==0.4.0 \ --hash=sha256:d4a3fe7966af24d44e4b412720561c95eb12bed999a4443a88221834b3b15aec \ --hash=sha256:d4ca9410996f4c7b8ea0d7b20fdf79878dc359ebf89cbf3b222e0b675a55097d @@ -1174,6 +1269,68 @@ filetype==1.2.0 \ --hash=sha256:66b56cd6474bf41d8c54660347d37afcc3f7d1970648de365c102ef77548aadb \ --hash=sha256:7ce71b6880181241cf7ac8697a2f1eb6a8bd9b429f7ad6d27b8db9ba5f1c2d25 # via docling +flask==3.1.3 \ + --hash=sha256:0ef0e52b8a9cd932855379197dd8f94047b359ca0a78695144304cb45f87c9eb \ + --hash=sha256:f4bcbefc124291925f1a26446da31a5178f9483862233b23c0c96a20701f670c + # via + # flask-cors + # mlflow +flask-cors==6.0.2 \ + --hash=sha256:6e118f3698249ae33e429760db98ce032a8bf9913638d085ca0f4c5534ad2423 \ + --hash=sha256:e57544d415dfd7da89a9564e1e3a9e515042df76e12130641ca6f3f2f03b699a + # via mlflow +fonttools==4.63.0 \ + --hash=sha256:032038247a96c1690f9f31e377c389383c902531b085aa4e4dabd6f57f870e69 \ + --hash=sha256:063e08bd17bd5a90127a14123de0d6a952dbc847695fd98b63c043d58057f90c \ + --hash=sha256:0c18358a155d75034911c5ee397a5b44cd19dd325dbb8b35fb60bf421d6a72ac \ + --hash=sha256:0eac00b9118c3c2f87d272e45341871c5b3066baa3c86897fa634a7c3fb59096 \ + --hash=sha256:1e874792a8212b44583ea02189d9e693906b2f78b261f372f95d6c563210ac1d \ + --hash=sha256:22135da48a348785c5e2d5d2d9d6bec5ed44adacbaeb9db12d9493bf6c6bfa68 \ + --hash=sha256:22693918177bd9ceabec4736d338045f357769416fc6b0b2508eefef75b08616 \ + --hash=sha256:27fdc65af8da6f88b9c6121c47a464cbe359fcfff7ff6fc2d37a1f395d755b78 \ + --hash=sha256:2b8ae05d9eacf6081414d759c0a352769ac28ce31280d6bb8e77b03f9e3c449f \ + --hash=sha256:2c14b4fd138c4bafcca294765c547914e1aa431ae1ca94ab99d8db08c958bd3b \ + --hash=sha256:308f957cdeaf8abe4e5f2f124902ef405448af92c90f80e302a3b771c2e6116b \ + --hash=sha256:37dd23e621e3b0aef1baa70a303b80aaf38449632cfc8fd2a55fb285bbccfc02 \ + --hash=sha256:445af2eab030a16b9171ea8bdda7ebf7d96bda2df88ee182a464252f6e05e20d \ + --hash=sha256:51394295f1a51de8b5f30bdb1e1b9a4231536c7064ef5c6e211eec19fa36036f \ + --hash=sha256:58dc6bb86a78d782f00f9190ca02c119cf5bbe2807536e361e18d42019f877d8 \ + --hash=sha256:59ac449f8cca9b4ffa08d2e7bbadad87ce710d69d1eda5c3c1ce579baa987272 \ + --hash=sha256:6b2248c5decb223562f7902ff6325077a073f608ee8e33e88ad88db734eb9f49 \ + --hash=sha256:6d4741eb179121cab9eea4cb2393d24492373a260d7945006358c08cfbf45419 \ + --hash=sha256:6db5140a60a5d731d21ec076745b40a310607731b0a565b50776393188649001 \ + --hash=sha256:6e528da43bc3791085f8cb6141b1d13e459226790240340fcbb4625649238b03 \ + --hash=sha256:796f27556dbe094c4824f75ca85267e4df776c79036c8441469a4df37038c196 \ + --hash=sha256:79cdc9f567aec74a72918fd060283911406750cbc9fd28c1316023deb6ce31a9 \ + --hash=sha256:7d76edbff9014094dbf03bd2d074709dfa6ec7aba13d838c937a2b33d2d6a86e \ + --hash=sha256:7d782fac32985914c351556f68ac0855391572bcd87de50e05970d3cd4c96fc5 \ + --hash=sha256:7dd683fef0663e9f0f45cf541d788d24caa3ec9db50796b588e1757d8b3bc007 \ + --hash=sha256:85be818f5506e8a7753153def2c9550178f0ecae6a47b5e0e8dbb23f7cc90380 \ + --hash=sha256:948428a275741f0b64b113c955425a953314f4b9ab9997f73a72c83e68e569c8 \ + --hash=sha256:9ced0bd02ac751dd6319b0da88aaef24414e3b0dbc32bb4f24944821a3741a27 \ + --hash=sha256:9e12f105d2b6342c559c298afb674006bb2893afc7102dcf8a1b55b0486b4e40 \ + --hash=sha256:a8b33a82979e0a6a34ff435cc81317be1f95ec1ebb7a3a2d1c8a6a54f02ae44e \ + --hash=sha256:a9faff9e0c1f76f9fd55899d2ce785832efebab37eb8ae13995853aef178bef0 \ + --hash=sha256:af2fd1664d00a397d75f806985ddb36282091c2131a73a6485c23b4a34722263 \ + --hash=sha256:afefc1ed0a59785a7fb06ea7e1678e849c193e1e387db783579bc7b3056fcfcb \ + --hash=sha256:b1cd75a03ad8cb5bc40c90bfde68c0c47de423aa19e5c0f362b43520645eea94 \ + --hash=sha256:ba04cb5891d4c0c21b6da95eda8d7b090021508a294fff33464fc7d241e0856b \ + --hash=sha256:bf00f21eb5fb721dbaf73d1e9da6d02a1af7768f2ebcf9798be98beab8ba90f6 \ + --hash=sha256:c0425b277a59cff3d80ca42162a8de360f318438a2ac83570842a678d826d579 \ + --hash=sha256:c1aaa4b9c75798400ac043ce04d74e7830376c85095a5a6ed7cba2f17a266bf4 \ + --hash=sha256:c2a2a42198b696a6f48fad91709afb55176e66a5e566131219dba372fb7f8c59 \ + --hash=sha256:caeb583deeb5168e694b65cda8b4ee62abedfa66cf88488734466f2366b9c4e0 \ + --hash=sha256:cb014d58140a38135f16064c74c652ed57aa0b75cbf8bb59cac821f7edb5334e \ + --hash=sha256:ccf41f2efdf56994d22d73bef4ced1052161958169428d06ba9724ea9e9a64be \ + --hash=sha256:cd7e9857e5e63738b9d9fd707bc1f59c8b09e5177726d23664db393c59bb08bd \ + --hash=sha256:d76ac49f929aecaf82d83250b8347e099d7aecba0f4726c1d9b6df3b8bb5fe18 \ + --hash=sha256:d7e5c9973aa04c95650c96e5f5ad865fbf42d62079163ecfab1e01cbc2504c22 \ + --hash=sha256:dcf076a4474fe0d7367e5bbf5b052c7284fa1feca729c04176ce513521afd8a0 \ + --hash=sha256:e3297a6a4059b4acc3a1e9a8b04741f240a80044eef08ebd32e8b5bcdddce75b \ + --hash=sha256:ee08ebfa58f6e1aeff5697ab9582105bb620008c1caafb681e4c557e7483027b \ + --hash=sha256:ef3048ef05dbb552b89817713d9cac912e00d0fde4a3105c00d29e52e10c89af \ + --hash=sha256:fd1e3094f42d806d3d7c79162fc59e5910fcbe3a7360c385b8da969bc4493745 + # via matplotlib fqdn==1.5.1 \ --hash=sha256:105ed3677e767fb5ca086a0c1f4bb66ebc3c100be518f0e0d755d9eae164d89f \ --hash=sha256:3a179af3761e4df6eb2e026ff9e1a3033d3587bf980a0b1b2e1e5d08d7358014 @@ -1325,6 +1482,14 @@ geomet==1.1.0 \ --hash=sha256:4372fe4e286a34acc6f2e9308284850bd8c4aa5bc12065e2abbd4995900db12f \ --hash=sha256:51e92231a0ef6aaa63ac20c443377ba78a303fd2ecd179dc3567de79f3c11605 # via cassandra-driver +gitdb==4.0.12 \ + --hash=sha256:5ef71f855d191a3326fcfbc0d5da835f26b13fbcba60c32c21091c349ffdb571 \ + --hash=sha256:67073e15955400952c6565cc3e707c554a4eea2e428946f7a4c162fab9bd9bcf + # via gitpython +gitpython==3.1.50 \ + --hash=sha256:80da2d12504d52e1f998772dc5baf6e553f8d2fcfe1fcc226c9d9a2ee3372dcc \ + --hash=sha256:d352abe2908d07355014abdd21ddf798c2a961469239afec4962e9da884858f9 + # via mlflow-skinny google-api-core[grpc]==2.30.3 \ --hash=sha256:a85761ba72c444dad5d611c2220633480b2b6be2521eca69cca2dbb3ffd6bfe8 \ --hash=sha256:e601a37f148585319b26db36e219df68c5d07b6382cff2d580e83404e44d641b @@ -1337,10 +1502,11 @@ google-api-core[grpc]==2.30.3 \ # google-cloud-datastore # google-cloud-storage # pandas-gbq -google-auth==2.52.0 \ - --hash=sha256:01f30e1a9e3638698d89464f5e603ce29d18e1c0e63ec31ac570aba4e164aaf5 \ - --hash=sha256:aee92803ba0ff93a70a3b8a35c7b4797837751cd6380b63ff38372b98f3ed627 +google-auth==2.53.0 \ + --hash=sha256:6e7449917c599b35126a99ec268ec6880301f2fea41dce198fe8fd83ff642b68 \ + --hash=sha256:e7e6aa16f6bee7b2b264830fd04f08087a1d5a836df516251a5d15327b246c9c # via + # databricks-sdk # google-api-core # google-auth-oauthlib # google-cloud-bigquery @@ -1439,6 +1605,20 @@ googleapis-common-protos[grpc]==1.75.0 \ # google-api-core # grpc-google-iam-v1 # grpcio-status +graphene==3.4.3 \ + --hash=sha256:2a3786948ce75fe7e078443d37f609cbe5bb36ad8d6b828740ad3b95ed1a0aaa \ + --hash=sha256:820db6289754c181007a150db1f7fff544b94142b556d12e3ebc777a7bf36c71 + # via mlflow +graphql-core==3.2.8 \ + --hash=sha256:015457da5d996c924ddf57a43f4e959b0b94fb695b85ed4c29446e508ed65cf3 \ + --hash=sha256:cbee07bee1b3ed5e531723685369039f32ff815ef60166686e0162f540f1520c + # via + # graphene + # graphql-relay +graphql-relay==3.2.0 \ + --hash=sha256:1ff1c51298356e481a0be009ccdff249832ce53f30559c1338f22a0e0d17250c \ + --hash=sha256:c9b22bd28b170ba1fe674c74384a8ff30a76c8e26f88ac3aa1584dd3179953e5 + # via graphene great-expectations==0.18.8 \ --hash=sha256:ab41cfa3de829a4f77bdcd4a23244684cbb67fdacc734d38910164cd02ec95b6 \ --hash=sha256:c1205bede593f679e22e0b3826d6ae1623c439cafd553f9f0bc2b0fd441f6ed9 @@ -1584,11 +1764,12 @@ grpcio-tools==1.62.3 \ --hash=sha256:f4b1615adf67bd8bb71f3464146a6f9949972d06d21a4f5e87e73f6464d97f57 \ --hash=sha256:f6831fdec2b853c9daa3358535c55eed3694325889aa714070528cf8f92d7d6d # via feast (pyproject.toml) -gunicorn==26.0.0 \ - --hash=sha256:40233d26a5f0d1872916188c276e21641155111c2853f0c2cd55260aec0d24fc \ - --hash=sha256:ca9346f85e3a4aeeb64d491045c16b9a35647abd37ea15efe53080eb8b090baf +gunicorn==25.3.0 \ + --hash=sha256:cacea387dab08cd6776501621c295a904fe8e3b7aae9a1a3cbb26f4e7ed54660 \ + --hash=sha256:f74e1b2f9f76f6cd1ca01198968bd2dd65830edc24b6e8e4d78de8320e2fe889 # via # feast (pyproject.toml) + # mlflow # uvicorn-worker h11==0.16.0 \ --hash=sha256:4e35b956cf45792e4caa5885e69fba00bdbc6ffafbfa020300e549b208ee5ff1 \ @@ -1811,6 +1992,10 @@ httpx-sse==0.4.3 \ --hash=sha256:0ac1c9fe3c0afad2e0ebb25a934a59f4c7823b60792691f779fad2c5568830fc \ --hash=sha256:9b1ed0127459a66014aec3c56bebd93da3c1bc8bb6618c8082039a44889a755d # via mcp +huey==2.6.0 \ + --hash=sha256:1b9df9d370b49c6d5721ba8a01ac9a787cf86b3bdc584e4679de27b920395c3f \ + --hash=sha256:8d11f8688999d65266af1425b831f6e3773e99415027177b8734b0ffd5e251f6 + # via mlflow huggingface-hub==0.36.2 \ --hash=sha256:1934304d2fb224f8afa3b87007d58501acfda9215b334eed53072dd5e815ff7a \ --hash=sha256:48f0c8eac16145dfce371e9d2d7772854a4f591bcb56c9cf548accf531d54270 @@ -1859,6 +2044,7 @@ importlib-metadata==9.0.0 \ # via # build # dask + # mlflow-skinny importlib-resources==7.1.0 \ --hash=sha256:0722d4c6212489c530f2a145a34c0a7a3b4721bc96a15fada5930e2a0b760708 \ --hash=sha256:1bd7b48b4088eddb2cd16382150bb515af0bd2c70128194392725f82ad2c96a1 @@ -1890,6 +2076,10 @@ isoduration==20.11.0 \ --hash=sha256:ac2f9015137935279eac671f94f89eb00584f940f5dc49462a0c4ee692ba1bd9 \ --hash=sha256:b2904c2a4228c3d44f409c8ae8e2370eb21a26f7ac2ec5446df141dde3452042 # via jsonschema +itsdangerous==2.2.0 \ + --hash=sha256:c6242fc49e35958c8b15141343aa660db5fc54d4f13a1db01a3f5891b98700ef \ + --hash=sha256:e0050c0b7da1eea53ffaf149c0cfbb5c6e2e2b69c4bef22c81fa6eb73e5f6173 + # via flask jedi==0.20.0 \ --hash=sha256:7bdd9c2634f56713299976f4cbd59cb3fa92165cc5e05ea811fb253480728b67 \ --hash=sha256:c3f4ccbd276696f4b19c54618d4fb18f9fc24b0aef02acf704b23f487daa1011 @@ -1900,6 +2090,7 @@ jinja2==3.1.6 \ # via # feast (pyproject.toml) # altair + # flask # great-expectations # jupyter-server # jupyterlab @@ -2019,6 +2210,125 @@ jwcrypto==1.5.7 \ --hash=sha256:70204d7cca406eda8c82352e3c41ba2d946610dafd19e54403f0a1f4f18633c6 \ --hash=sha256:729463fefe28b6de5cf1ebfda3e94f1a1b41d2799148ef98a01cb9678ebe2bb0 # via python-keycloak +kiwisolver==1.5.0 \ + --hash=sha256:012b1eb16e28718fa782b5e61dc6f2da1f0792ca73bd05d54de6cb9561665fc9 \ + --hash=sha256:01808c6d15f4c3e8559595d6d1fe6411c68e4a3822b4b9972b44473b24f4e679 \ + --hash=sha256:0255a027391d52944eae1dbb5d4cc5903f57092f3674e8e544cdd2622826b3f0 \ + --hash=sha256:0b85aad90cea8ac6797a53b5d5f2e967334fa4d1149f031c4537569972596cb8 \ + --hash=sha256:0bf3acf1419fa93064a4c2189ac0b58e3be7872bf6ee6177b0d4c63dc4cea276 \ + --hash=sha256:0c50b89ffd3e1a911c69a1dd3de7173c0cd10b130f56222e57898683841e4f96 \ + --hash=sha256:0cbe94b69b819209a62cb27bdfa5dc2a8977d8de2f89dfd97ba4f53ed3af754e \ + --hash=sha256:0df54df7e686afa55e6f21fb86195224a6d9beb71d637e8d7920c95cf0f89aac \ + --hash=sha256:0e3aafb33aed7479377e5e9a82e9d4bf87063741fc99fc7ae48b0f16e32bdd6f \ + --hash=sha256:12e91c215a96e39f57989c8912ae761286ac5a9584d04030ceb3368a357f017a \ + --hash=sha256:1465387ac63576c3e125e5337a6892b9e99e0627d52317f3ca79e6930d889d15 \ + --hash=sha256:16b85d37c2cbb3253226d26e64663f755d88a03439a9c47df6246b35defbdfb7 \ + --hash=sha256:1b0feb50971481a2cc44d94e88bdb02cdd497618252ae226b8eb1201b957e368 \ + --hash=sha256:1d49a49ac4cbfb7c1375301cd1ec90169dfeae55ff84710d782260ce77a75a02 \ + --hash=sha256:1d9daea4ea6b9be74fe2f01f7fbade8d6ffab263e781274cffca0dba9be9eec9 \ + --hash=sha256:1dd9b0b119a350976a6d781e7278ec7aca0b201e1a9e2d23d9804afecb6ca681 \ + --hash=sha256:1f1489f769582498610e015a8ef2d36f28f505ab3096d0e16b4858a9ec214f57 \ + --hash=sha256:2517e24d7315eb51c10664cdb865195df38ab74456c677df67bb47f12d088a27 \ + --hash=sha256:295d9ffe712caa9f8a3081de8d32fc60191b4b51c76f02f951fd8407253528f4 \ + --hash=sha256:2a075bd7bd19c70cf67c8badfa36cf7c5d8de3c9ddb8420c51e10d9c50e94920 \ + --hash=sha256:32cc0a5365239a6ea0c6ed461e8838d053b57e397443c0ca894dcc8e388d4374 \ + --hash=sha256:332b4f0145c30b5f5ad9374881133e5aa64320428a57c2c2b61e9d891a51c2f3 \ + --hash=sha256:377815a8616074cabbf3f53354e1d040c35815a134e01d7614b7692e4bf8acfa \ + --hash=sha256:38f4a703656f493b0ad185211ccfca7f0386120f022066b018eb5296d8613e23 \ + --hash=sha256:3ac2360e93cb41be81121755c6462cff3beaa9967188c866e5fce5cf13170859 \ + --hash=sha256:3c4923e404d6bcd91b6779c009542e5647fef32e4a5d75e115e3bbac6f2335eb \ + --hash=sha256:3cdcb35dc9d807259c981a85531048ede628eabcffb3239adf3d17463518992d \ + --hash=sha256:41024ed50e44ab1a60d3fe0a9d15a4ccc9f5f2b1d814ff283c8d01134d5b81bc \ + --hash=sha256:413b820229730d358efd838ecbab79902fe97094565fdc80ddb6b0a18c18a581 \ + --hash=sha256:4432b835675f0ea7414aab3d37d119f7226d24869b7a829caeab49ebda407b0c \ + --hash=sha256:4db576bb8c3ef9365f8b40fe0f671644de6736ae2c27a2c62d7d8a1b4329f099 \ + --hash=sha256:4e7f886f47ab881692f278ae901039a234e4025a68e6dfab514263a0b1c4ae05 \ + --hash=sha256:4e9750bc21b886308024f8a54ccb9a2cc38ac9fa813bf4348434e3d54f337ff9 \ + --hash=sha256:5060731cc3ed12ca3a8b57acd4aeca5bbc2f49216dd0bec1650a1acd89486bcd \ + --hash=sha256:50847dca5d197fcbd389c805aa1a1cf32f25d2e7273dc47ab181a517666b68cc \ + --hash=sha256:5092eb5b1172947f57d6ea7d89b2f29650414e4293c47707eb499ec07a0ac796 \ + --hash=sha256:5124d1ea754509b09e53738ec185584cc609aae4a3b510aaf4ed6aa047ef9303 \ + --hash=sha256:51e8c4084897de9f05898c2c2a39af6318044ae969d46ff7a34ed3f96274adca \ + --hash=sha256:530a3fd64c87cffa844d4b6b9768774763d9caa299e9b75d8eca6a4423b31314 \ + --hash=sha256:56fa888f10d0f367155e76ce849fa1166fc9730d13bd2d65a2aa13b6f5424489 \ + --hash=sha256:58f812017cd2985c21fbffb4864d59174d4903dd66fa23815e74bbc7a0e2dd57 \ + --hash=sha256:59cd8683f575d96df5bb48f6add94afc055012c29e28124fcae2b63661b9efb1 \ + --hash=sha256:5ae8e62c147495b01a0f4765c878e9bfdf843412446a247e28df59936e99e797 \ + --hash=sha256:5b233ea3e165e43e35dba1d2b8ecc21cf070b45b65ae17dd2747d2713d942021 \ + --hash=sha256:6176c1811d9d5a04fa391c490cc44f451e240697a16977f11c6f722efb9041db \ + --hash=sha256:62f59da443c4f4849f73a51a193b1d9d258dcad0c41bc4d1b8fb2bcc04bfeb22 \ + --hash=sha256:6783e069732715ad0c3ce96dbf21dbc2235ab0593f2baf6338101f70371f4028 \ + --hash=sha256:6ab8ba9152203feec73758dad83af9a0bbe05001eb4639e547207c40cfb52083 \ + --hash=sha256:70d593af6a6ca332d1df73d519fddb5148edb15cd90d5f0155e3746a6d4fcc65 \ + --hash=sha256:72ec46b7eba5b395e0a7b63025490d3214c11013f4aacb4f5e8d6c3041829588 \ + --hash=sha256:7a32f72973f0f950c1920475d5c5ea3d971b81b6f0ec53b8d0a956cc965f22e0 \ + --hash=sha256:7a4aa69609f40fce3cbc3f87b2061f042eee32f94b8f11db707b66a26461591a \ + --hash=sha256:7c60d3c9b06fb23bd9c6139281ccbdc384297579ae037f08ae90c69f6845c0b1 \ + --hash=sha256:800ee55980c18545af444d93fdd60c56b580db5cc54867d8cbf8a1dc0829938c \ + --hash=sha256:80aa065ffd378ff784822a6d7c3212f2d5f5e9c3589614b5c228b311fd3063ac \ + --hash=sha256:86e0287879f75621ae85197b0877ed2f8b7aa57b511c7331dce2eb6f4de7d476 \ + --hash=sha256:893ff3a711d1b515ba9da14ee090519bad4610ed1962fbe298a434e8c5f8db53 \ + --hash=sha256:89fc958c702ee9a745e4700378f5d23fddbc46ff89e8fdbf5395c24d5c1452a3 \ + --hash=sha256:8c63c91f95173f9c2a67c7c526b2cea976828a0e7fced9cdcead2802dc10f8a4 \ + --hash=sha256:8df31fe574b8b3993cc61764f40941111b25c2d9fea13d3ce24a49907cd2d615 \ + --hash=sha256:8f9baf6f0a6e7571c45c8863010b45e837c3ee1c2c77fcd6ef423be91b21fedb \ + --hash=sha256:9027d773c4ff81487181a925945743413f6069634d0b122d0b37684ccf4f1e18 \ + --hash=sha256:9190426b7aa26c5229501fa297b8d0653cfd3f5a36f7990c264e157cbf886b3b \ + --hash=sha256:940dda65d5e764406b9fb92761cbf462e4e63f712ab60ed98f70552e496f3bf1 \ + --hash=sha256:94eff26096eb5395136634622515b234ecb6c9979824c1f5004c6e3c3c85ccd2 \ + --hash=sha256:9eed0f7edbb274413b6ee781cca50541c8c0facd3d6fd289779e494340a2b85c \ + --hash=sha256:ad4ae4ffd1ee9cd11357b4c66b612da9888f4f4daf2f36995eda64bd45370cac \ + --hash=sha256:b0f172dc8ffaccb8522d7c5d899de00133f2f1ca7b0a49b7da98e901de87bf2d \ + --hash=sha256:b2af221f268f5af85e776a73d62b0845fc8baf8ef0abfae79d29c77d0e776aaf \ + --hash=sha256:b7d335370ae48a780c6e6a6bbfa97342f563744c39c35562f3f367665f5c1de2 \ + --hash=sha256:b83af57bdddef03c01a9138034c6ff03181a3028d9a1003b301eb1a55e161a3f \ + --hash=sha256:bb5136fb5352d3f422df33f0c879a1b0c204004324150cc3b5e3c4f310c9049f \ + --hash=sha256:bc4d8e252f532ab46a1de9349e2d27b91fce46736a9eedaa37beaca66f574ed4 \ + --hash=sha256:bdd3e53429ff02aa319ba59dfe4ceeec345bf46cf180ec2cf6fd5b942e7975e9 \ + --hash=sha256:be12f931839a3bdfe28b584db0e640a65a8bcbc24560ae3fdb025a449b3d754e \ + --hash=sha256:be4a51a55833dc29ab5d7503e7bcb3b3af3402d266018137127450005cdfe737 \ + --hash=sha256:beb7f344487cdcb9e1efe4b7a29681b74d34c08f0043a327a74da852a6749e7b \ + --hash=sha256:bf4679a3d71012a7c2bf360e5cd878fbd5e4fcac0896b56393dec239d81529ed \ + --hash=sha256:c0e1403fd7c26d77c1f03e096dc58a5c726503fa0db0456678b8668f76f521e3 \ + --hash=sha256:c31c13da98624f957b0fb1b5bae5383b2333c2c3f6793d9825dd5ce79b525cb7 \ + --hash=sha256:c438f6ca858697c9ab67eb28246c92508af972e114cac34e57a6d4ba17a3ac08 \ + --hash=sha256:c8277104ded0a51e699c8c3aff63ce2c56d4ed5519a5f73e0fd7057f959a2b9e \ + --hash=sha256:c95cab08d1965db3d84a121f1c7ce7479bdd4072c9b3dafd8fecce48a2e6b902 \ + --hash=sha256:cc0b66c1eec9021353a4b4483afb12dfd50e3669ffbb9152d6842eb34c7e29fd \ + --hash=sha256:cdee07c4d7f6d72008d3f73b9bf027f4e11550224c7c50d8df1ae4a37c1402a6 \ + --hash=sha256:ce9bf03dad3b46408c08649c6fbd6ca28a9fce0eb32fdfffa6775a13103b5310 \ + --hash=sha256:cff8e5383db4989311f99e814feeb90c4723eb4edca425b9d5d9c3fefcdd9537 \ + --hash=sha256:d168fda2dbff7b9b5f38e693182d792a938c31db4dac3a80a4888de603c99554 \ + --hash=sha256:d1ffeb80b5676463d7a7d56acbe8e37a20ce725570e09549fe738e02ca6b7e1e \ + --hash=sha256:d36ca54cb4c6c4686f7cbb7b817f66f5911c12ddb519450bbe86707155028f87 \ + --hash=sha256:d4193f3d9dc3f6f79aaed0e5637f45d98850ebf01f7ca20e69457f3e8946b66a \ + --hash=sha256:d5cd5189fc2b6a538b75ae45433140c4823463918f7b1617c31e68b085c0022c \ + --hash=sha256:d618fd27420381a4f6044faa71f46d8bfd911bd077c555f7138ed88729bfbe79 \ + --hash=sha256:d76e2d8c75051d58177e762164d2e9ab92886534e3a12e795f103524f221dd8e \ + --hash=sha256:daae526907e262de627d8f70058a0f64acc9e2641c164c99c8f594b34a799a16 \ + --hash=sha256:db485b3847d182b908b483b2ed133c66d88d49cacf98fd278fadafe11b4478d1 \ + --hash=sha256:dd952e03bfbb096cfe2dd35cd9e00f269969b67536cb4370994afc20ff2d0875 \ + --hash=sha256:dda366d548e89a90d88a86c692377d18d8bd64b39c1fb2b92cb31370e2896bbd \ + --hash=sha256:e315e5ec90d88e140f57696ff85b484ff68bb311e36f2c414aa4286293e6dee0 \ + --hash=sha256:e4415a8db000bf49a6dd1c478bf70062eaacff0f462b92b0ba68791a905861f9 \ + --hash=sha256:e7a116ae737f0000343218c4edf5bd45893bfeaff0993c0b215d7124c9f77646 \ + --hash=sha256:e7c4c09a490dc4d4a7f8cbee56c606a320f9dc28cf92a7157a39d1ce7676a657 \ + --hash=sha256:ebae99ed6764f2b5771c522477b311be313e8841d2e0376db2b10922daebbba4 \ + --hash=sha256:ec4c85dc4b687c7f7f15f553ff26a98bfe8c58f5f7f0ac8905f0ba4c7be60232 \ + --hash=sha256:ed3a984b31da7481b103f68776f7128a89ef26ed40f4dc41a2223cda7fb24819 \ + --hash=sha256:f18c2d9782259a6dc132fdc7a63c168cbc74b35284b6d75c673958982a378384 \ + --hash=sha256:f1f9f4121ec58628c96baa3de1a55a4e3a333c5102c8e94b64e23bf7b2083309 \ + --hash=sha256:f42c23db5d1521218a3276bb08666dcb662896a0be7347cba864eca45ff64ede \ + --hash=sha256:f443b4825c50a51ee68585522ab4a1d1257fac65896f282b4c6763337ac9f5d2 \ + --hash=sha256:f6764a4ccab3078db14a632420930f6186058750df066b8ea2a7106df91d3203 \ + --hash=sha256:f7c7553b13f69c1b29a5bde08ddc6d9d0c8bfb84f9ed01c30db25944aeb852a7 \ + --hash=sha256:fa6248cd194edff41d7ea9425ced8ca3a6f838bfb295f6f1d6e6bb694a8518df \ + --hash=sha256:fa8eb9ecdb7efb0b226acec134e0d709e87a909fa4971a54c0c4f6e88635484c \ + --hash=sha256:fc20894c3d21194d8041a28b65622d5b86db786da6e3cfe73f0c762951a61167 \ + --hash=sha256:fc4d3f1fb9ca0ae9f97b095963bc6326f1dbfd3779d6679a1e016b9baaa153d3 \ + --hash=sha256:fd40bb9cd0891c4c3cb1ddf83f8bbfa15731a248fdc8162669405451e2724b09 \ + --hash=sha256:ff710414307fefa903e0d9bdf300972f892c23477829f49504e59834f4195398 + # via matplotlib kubernetes==35.0.0 \ --hash=sha256:39e2b33b46e5834ef6c3985ebfe2047ab39135d41de51ce7641a7ca5b372a13d \ --hash=sha256:3d00d344944239821458b9efd484d6df9f011da367ecb155dadf9513f05f09ee @@ -2241,6 +2551,10 @@ makefun==1.16.0 \ --hash=sha256:43baa4c3e7ae2b17de9ceac20b669e9a67ceeadff31581007cca20a07bbe42c4 \ --hash=sha256:e14601831570bff1f6d7e68828bcd30d2f5856f24bad5de0ccb22921ceebc947 # via great-expectations +mako==1.3.12 \ + --hash=sha256:8f61569480282dbf557145ce441e4ba888be453c30989f879f0d652e39f53ea9 \ + --hash=sha256:9f778e93289bd410bb35daadeb4fc66d95a746f0b75777b942088b7fd7af550a + # via alembic markdown-it-py==4.2.0 \ --hash=sha256:04a21681d6fbb623de53f6f364d352309d4094dd4194040a10fd51833e418d49 \ --hash=sha256:9f7ebbcd14fe59494226453aed97c1070d83f8d24b6fc3a3bcf9a38092641c4a @@ -2340,13 +2654,72 @@ markupsafe==3.0.3 \ --hash=sha256:f9e130248f4462aaa8e2552d547f36ddadbeaa573879158d721bbd33dfe4743a \ --hash=sha256:fed51ac40f757d41b7c48425901843666a6677e3e8eb0abcff09e4ba6e664f50 # via + # flask # jinja2 + # mako # nbconvert # werkzeug marshmallow==3.26.2 \ --hash=sha256:013fa8a3c4c276c24d26d84ce934dc964e2aa794345a0f8c7e5a7191482c8a73 \ --hash=sha256:bbe2adb5a03e6e3571b573f42527c6fe926e17467833660bebd11593ab8dfd57 # via great-expectations +matplotlib==3.10.9 \ + --hash=sha256:09218df8a93712bd6ea133e83a153c755448cf7868316c531cffcc43f69d1cc9 \ + --hash=sha256:10cc5ce06d10231c36f40e875f3c7e8050362a4ee8f0ee5d29a6b3277d57bb42 \ + --hash=sha256:172db52c9e683f5d12eaf57f0f54834190e12581fe1cc2a19595a8f5acb4e77d \ + --hash=sha256:1872fb212a05b729e649754a72d5da61d03e0554d76e80303b6f83d1d2c0552b \ + --hash=sha256:1aa972116abb4c9d201bf245620b433726cb6856f3bef6a78f776a00f5c92d37 \ + --hash=sha256:1e7698ac9868428e84d2c967424803b2472ff7167d9d6590d4204ed775343c3b \ + --hash=sha256:2dc9477819ffd78ad12a20df1d9d6a6bd4fec6aaa9072681465fddca052f1456 \ + --hash=sha256:3225f4e1edcb8c86c884ddf79ebe20ecd0a67d30188f279897554ccd8fded4dc \ + --hash=sha256:336b9acc64d309063126edcdaca00db9373af3c476bb94388fe9c5a53ad13e6f \ + --hash=sha256:345f6f68ecc8da0ca56fad2ea08fde1a115eda530079eca185d50a7bc3e146c6 \ + --hash=sha256:34cf8167e023ad956c15f36302911d5406bd99a9862c1a8499ea6f7c0e015dc2 \ + --hash=sha256:3fc0364dfbe1d07f6d15c5ebd0c5bf89e126916e5a8667dd4a7a6e84c36653d4 \ + --hash=sha256:41cb28c2bd769aa3e98322c6ab09854cbcc52ab69d2759d681bba3e327b2b320 \ + --hash=sha256:42fb814efabe95c06c1994d8ab5a8385f43a249e23badd3ba931d4308e5bca20 \ + --hash=sha256:4e42042d54db34fda4e95a7bd3e5789c2a995d2dad3eb8850232ee534092fbbf \ + --hash=sha256:4edcfbd8565339aa62f1cd4012f7180926fdbe71850f7b0d3c379c175cd6b66c \ + --hash=sha256:51bf0ddbdc598e060d46c16b5590708f81a1624cefbaaf62f6a81bf9285b8c80 \ + --hash=sha256:56fc0bd271b00025c6edfdc7c2dcd247372c8e1544971d62e1dc7c17367e8bf9 \ + --hash=sha256:59476c6d29d612b8e9bb6ce8c5b631be6ba8f9e3a2421f22a02b192c7dd28716 \ + --hash=sha256:6640f75af2c6148293caa0a2b39dd806a492dd66c8a8b04035813e33d0fd2585 \ + --hash=sha256:68cfdcede415f7c8f5577b03303dd94526cdb6d11036cecdc205e08733b2d2bb \ + --hash=sha256:6b63d9c7c769b88ab81e10dc86e4e0607cf56817b9f9e6cf24b2a5f1693b8e38 \ + --hash=sha256:6be157fe17fc37cb95ac1d7374cf717ce9259616edec911a78d9d26dae8522d4 \ + --hash=sha256:6c63ebcd8b4b169eb2f5c200552ae6b8be8999a005b6b507ed76fb8d7d674fe2 \ + --hash=sha256:77210dce9cb8153dffc967efaae990543392563d5a376d4dd8539bebcb0ed217 \ + --hash=sha256:7a8d66a55def891c33147ba3ba9bfcabf0b526a43764c818acbb4525e5ed0838 \ + --hash=sha256:82368699727bfb7b0182e1aa13082e3c08e092fa1a25d3e1fd92405bff96f6d4 \ + --hash=sha256:82834c3c292d24d3a8aae77cd2d20019de69d692a34a970e4fdb8d33e2ea3dda \ + --hash=sha256:8e436d155fa8a3399dc62683f8f5d0e2e50d25d0144a73edd73f82eec8f4abfb \ + --hash=sha256:8f3bcac1ca5ed000a6f4337d47ba67dfddf37ed6a46c15fd7f014997f7bf865f \ + --hash=sha256:97e35e8d39ccc85859095e01a53847432ba9a53ddf7986f7a54a11b73d0e143f \ + --hash=sha256:985f2238880e2e69093f588f5fe2e46771747febf0649f3cf7f7b7480875317f \ + --hash=sha256:a49f1eadc84ca85fd72fa4e89e70e61bf86452df6f971af04b12c60761a0772c \ + --hash=sha256:a5a6104ed666402ba5106d7f36e0e0cdca4e8d7fa4d39708ca88019e2835a2eb \ + --hash=sha256:aba1615dabe83188e19d4f75a253c6a08423e04c1425e64039f800050a69de6b \ + --hash=sha256:ae20801130378b82d647ff5047c07316295b68dc054ca6b3c13519d0ea624285 \ + --hash=sha256:ae2f11957b27ce53497dd4d7b235c4d4f1faf383dfb39d0c5beb833bff883294 \ + --hash=sha256:b049278ddce116aaa1c1377ebf58adea909132dfce0281cf7e3a1ea9fc2e2c65 \ + --hash=sha256:b1b745c489cd1a77a0dc1120a05dc87af9798faebc913601feb8c73d89bf2d1e \ + --hash=sha256:b2b9516251cb89ff618d757daec0e2ed1bf21248013844a853d87ef85ab3081d \ + --hash=sha256:b580440f1ff81a0e34122051a3dfabb7e4b7f9e380629929bde0eff9af72165f \ + --hash=sha256:ba7b3b8ef09eab7df0e86e9ae086faa433efbfbdb46afcb3aa16aabf779469a8 \ + --hash=sha256:c27df8b3848f32a83d1767566595e43cfaa4460380974da06f4279a7ec143c39 \ + --hash=sha256:d091f9d758b34aaaaa6331d13574bf01891d903b3dec59bfff458ef7551de5d6 \ + --hash=sha256:d730e984eddf56974c3e72b6129c7ca462ac38dc624338f4b0b23eb23ecba00f \ + --hash=sha256:d75d11c949914165976c621b2324f9ef162af7ebf4b057ddf95dd1dba7e5edcf \ + --hash=sha256:d843374407c4017a6403b59c6c81606773d136f3259d5b6da3131bc814542cc2 \ + --hash=sha256:da4e09638420548f31c354032a6250e473c68e5a4e96899b4844cf39ddea23fe \ + --hash=sha256:de2445a0c6690d21b7eb6ce071cebad6d40a2e9bdf10d039074a96ba19797b99 \ + --hash=sha256:dfca0129678bd56379db26c52b5d77ed7de314c047492fbdc763aa7501710cfb \ + --hash=sha256:e9fae004b941b23ff2edcf1567a857ed77bafc8086ffa258190462328434faf8 \ + --hash=sha256:f0c3c28d9fbcc1fe7a03be236d73430cf6409c41fb2383a7ac52fe932b072cb1 \ + --hash=sha256:f4399f64b3e94cd500195490972ae1ee81170df1636fa15364d157d5bdd7b921 \ + --hash=sha256:f76e640a5268850bfda54b5131b1b1941cc685e42c5fa98ed9f2d64038308cba \ + --hash=sha256:fd66508e8c6877d98e586654b608a0456db8d7e8a546eb1e2600efd957302358 + # via mlflow matplotlib-inline==0.2.2 \ --hash=sha256:3c821cf1c209f59fb2d2d64abbf5b23b67bcb2210d663f9918dd851c6da1fcf6 \ --hash=sha256:72f3fe8fce36b70d4a5b612f899090cd0401deddc4ea90e1572b9f4bfb058c79 @@ -2379,6 +2752,18 @@ mistune==3.2.1 \ # via # great-expectations # nbconvert +mlflow==3.12.0 \ + --hash=sha256:227ee31c6abf7ae3b3c38d4ca87c356e107578740c1efee89da43f2a5b9e3b47 \ + --hash=sha256:e1c28ed4c48557cc52c766f17f1ca5826753ddf241d43f30f99c45f7ea6b3ce0 + # via feast (pyproject.toml) +mlflow-skinny==3.12.0 \ + --hash=sha256:0498f3697abcabcc6204c432ef179840f6a7a34ce123837c98c1913064fda6dd \ + --hash=sha256:74d27066bc9553d281e0c31d25f07deb39dbe99d190e4f7c257703e5c8ee6d10 + # via mlflow +mlflow-tracing==3.12.0 \ + --hash=sha256:8702a34a1d4f1517ba904d716f5a8fca4675e6526f7d164d02bdaabececa2d80 \ + --hash=sha256:c6072553f47b42505dc7ee62946688a4a0dde8f06b78fbc60e946397b20e1518 + # via mlflow mmh3==5.2.1 \ --hash=sha256:022aa1a528604e6c83d0a7705fdef0b5355d897a9e0fa3a8d26709ceaa06965d \ --hash=sha256:0634581290e6714c068f4aa24020acf7880927d1f0084fa753d9799ae9610082 \ @@ -2909,6 +3294,7 @@ numpy==2.2.6 \ # feast (pyproject.toml) # accelerate # altair + # contourpy # dask # datasets # db-dtypes @@ -2918,6 +3304,8 @@ numpy==2.2.6 \ # great-expectations # ibis-framework # imageio + # matplotlib + # mlflow # opencv-python-headless # pandas # pandas-gbq @@ -2928,6 +3316,7 @@ numpy==2.2.6 \ # scipy # sentence-transformers # shapely + # skops # tifffile # torchvision # transformers @@ -2952,6 +3341,29 @@ openpyxl==3.1.5 \ --hash=sha256:5282c12b107bffeef825f4617dc029afaf41d0ea60823bbb665ef3079dc79de2 \ --hash=sha256:cf0e3cf56142039133628b5acffe8ef0c12bc902d2aadd3e0fe5878dc08d1050 # via docling +opentelemetry-api==1.16.0 \ + --hash=sha256:4b0e895a3b1f5e1908043ebe492d33e33f9ccdbe6d02d3994c2f8721a63ddddb \ + --hash=sha256:79e8f0cf88dbdd36b6abf175d2092af1efcaa2e71552d0d2b3b181a9707bf4bc + # via + # mlflow-skinny + # mlflow-tracing + # opentelemetry-sdk +opentelemetry-proto==1.27.0 \ + --hash=sha256:33c9345d91dafd8a74fc3d7576c5a38f18b7fdf8d02983ac67485386132aedd6 \ + --hash=sha256:b133873de5581a50063e1e4b29cdcf0c5e253a8c2d8dc1229add20a4c3830ace + # via + # mlflow-skinny + # mlflow-tracing +opentelemetry-sdk==1.16.0 \ + --hash=sha256:15f03915eec4839f885a5e6ed959cde59b8690c8c012d07c95b4b138c98dc43f \ + --hash=sha256:4d3bb91e9e209dbeea773b5565d901da4f76a29bf9dbc1c9500be3cabb239a4e + # via + # mlflow-skinny + # mlflow-tracing +opentelemetry-semantic-conventions==0.37b0 \ + --hash=sha256:087ce2e248e42f3ffe4d9fa2303111de72bb93baa06a0f4655980bc1557c4228 \ + --hash=sha256:462982278a42dab01f68641cd89f8460fe1f93e87c68a012a76fb426dcdba5ee + # via opentelemetry-sdk oracledb==4.0.0 \ --hash=sha256:19d445b62973da05fde2f7f9fe1f811e3b18de4f9c6699f3c921af5ef75494bf \ --hash=sha256:1d3e46c81baf932752d5dfa25e9c63faea65ef17d5c0650558547b8784c929a1 \ @@ -3088,6 +3500,9 @@ packaging==26.2 \ # jupyterlab-server # lazy-loader # marshmallow + # matplotlib + # mlflow-skinny + # mlflow-tracing # nbconvert # openlineage-python # pandas-gbq @@ -3095,6 +3510,7 @@ packaging==26.2 \ # ray # safetensors # scikit-image + # skops # snowflake-connector-python # sphinx # transformers @@ -3166,6 +3582,7 @@ pandas==2.3.3 \ # google-cloud-bigquery # great-expectations # ibis-framework + # mlflow # pandas-gbq # pymilvus # snowflake-connector-python @@ -3316,6 +3733,7 @@ pillow==11.3.0 \ # docling-parse # easyocr # imageio + # matplotlib # python-pptx # scikit-image # torchvision @@ -3353,6 +3771,10 @@ pre-commit==3.3.1 \ --hash=sha256:218e9e3f7f7f3271ebc355a15598a4d3893ad9fc7b57fe446db75644543323b9 \ --hash=sha256:733f78c9a056cdd169baa6cd4272d51ecfda95346ef8a89bf93712706021b907 # via feast (pyproject.toml) +prettytable==3.17.0 \ + --hash=sha256:59f2590776527f3c9e8cf9fe7b66dd215837cca96a9c39567414cbc632e8ddb0 \ + --hash=sha256:aad69b294ddbe3e1f95ef8886a060ed1666a0b83018bbf56295f6f226c43d287 + # via skops prometheus-client==0.24.1 \ --hash=sha256:150db128af71a5c2482b36e588fc8a6b95e498750da4b17065947c16070f4055 \ --hash=sha256:7e0ced7fbbd40f7b84962d5d2ab6f17ef88a72504dcf7c0b40737b43b2a461f9 @@ -3510,6 +3932,7 @@ protobuf==4.25.9 \ --hash=sha256:d49b615e7c935194ac161f0965699ac84df6112c378e05ec53da65d2e4cbb6d4 # via # feast (pyproject.toml) + # databricks-sdk # google-api-core # google-cloud-bigquery-storage # google-cloud-bigtable @@ -3521,7 +3944,10 @@ protobuf==4.25.9 \ # grpcio-status # grpcio-testing # grpcio-tools + # mlflow-skinny + # mlflow-tracing # mypy-protobuf + # opentelemetry-proto # proto-plus # pymilvus # qdrant-client @@ -3660,57 +4086,57 @@ py4j==0.10.9.9 \ --hash=sha256:c7c26e4158defb37b0bb124933163641a2ff6e3a3913f7811b0ddbe07ed61533 \ --hash=sha256:f694cad19efa5bd1dee4f3e5270eb406613c974394035e5bfc4ec1aba870b879 # via pyspark -pyarrow==24.0.0 \ - --hash=sha256:02b001b3ed4723caa44f6cd1af2d5c86aa2cf9971dacc2ffa55b21237713dfba \ - --hash=sha256:04920d6a71aabd08a0417709efce97d45ea8e6fb733d9ca9ecffb13c67839f68 \ - --hash=sha256:0b3537c00fb8d384f15ac1e79b6eb6db04a16514c8c1d22e59a9b95c8ba42868 \ - --hash=sha256:1183baeb14c5f587b1ec52831e665718ce632caab84b7cd6b85fd44f96114495 \ - --hash=sha256:14e31a3c9e35f1ab6356c6378f6f72830e6d2d5f1791df3774a7b097d18a6a1e \ - --hash=sha256:1617043b99bd33e5318ae18eb2919af09c71322ef1ca46566cdafc6e6712fb66 \ - --hash=sha256:1a4e45017efbf115032e4475ee876d525e0e36c742214fbe405332480ecd6275 \ - --hash=sha256:1b2fe7f9a5566401a0ef2571f197eb92358925c1f0c8dba305d6e43ea0871bb3 \ - --hash=sha256:1cc9057f0319e26333b357e17f3c2c022f1a83739b48a88b25bfd5fa2dc18838 \ - --hash=sha256:2392d954fcb920f42d230284b677605e4e2fbb11f2821e823e642abd67fbb491 \ - --hash=sha256:25ea65d868eb04015cd18e6df2fbe98f07e5bda2abefabcb88fce39a947716f6 \ - --hash=sha256:295f0a7f2e242dabd513737cf076007dc5b2d59237e3eca37b05c0c6446f3826 \ - --hash=sha256:2f16197705a230a78270cdd4ea8a1d57e86b2fdcbc34a1f6aebc72e65c986f9a \ - --hash=sha256:35405aecb474e683fb36af650618fd5340ee5471fc65a21b36076a18bbc6c981 \ - --hash=sha256:38be1808cdd068605b787e6ca9119b27eb275a0234e50212c3492331680c3b1e \ - --hash=sha256:3a577bd840ca83f646f0a625dbc571dba7044c43c2d1503afc378b570954345c \ - --hash=sha256:3b13dedfe76a0ad2d1d859b0811b53827a4e9d93a0bcb05cf59333ab4980cc7e \ - --hash=sha256:418e48ce50a45a6a6c73c454677203a9c75c966cb1e92ca3370959185f197a05 \ - --hash=sha256:55a3bc1e3df3b5567b7d27ef551b2283f0c68a5e86f1cd56abc569da4f31335b \ - --hash=sha256:6165461f55ef6314f026de6638d661188e3455d3ec49834556a0ebbdbace18bb \ - --hash=sha256:61a3d7eaa97a14768b542f3d284dc6400dd2470d9f080708b13cd46b6ae18136 \ - --hash=sha256:6233c9ed9ab9d1db47de57d9753256d9dcffbf42db341576099f0fd9f6bf4810 \ - --hash=sha256:641f795b361874ac9da5294f8f443dfdbee355cf2bd9e3b8d97aaac2306b9b37 \ - --hash=sha256:644a246325b8c69c595ad1dd4b463eba4b0cdb731370e4a86137d433208d6147 \ - --hash=sha256:6f066b179d68c413374294bc1735f68475457c933258df594443bb9d88ddc2a0 \ - 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--hash=sha256:b7d9a514e73bc42711e6a35aaccf3587c520024fe0a25d830a1a8a27c15f4f57 \ - --hash=sha256:bec9373df11544592b0ba7ec2af0e35059e5f0e7647c6183a854dedd193298f1 \ - --hash=sha256:c42ab9439498270139cc63e18847a02afe5c8b3ed9c931266533cfe378bd3591 \ - --hash=sha256:c91d00057f23b8d353039520dc3a6c09d8608164c692e9f59a175a42b2ae0c19 \ - --hash=sha256:d3e0b61e8efb24ed38898e5cdc5fffa9124be480008d401a1f8071500494ae42 \ - --hash=sha256:d7027eba1df3b2069e2e8d80f644fa0918b68c46432af3d088ddd390d063ecde \ - --hash=sha256:d8ddd2768da81d3ee08cfea9b597f4abb4e8e1dc8ae7e204b608d23a0d3ab699 \ - --hash=sha256:e3268e43984d0b1a185c89b4cfff282a7ead12fc93f56cfd7088bdbcbe727041 \ - --hash=sha256:e4505fc6583f7b05ab854934896bcac8253b04ac1171a77dfb73efef92076d91 \ - --hash=sha256:e56a1ffe9bf7b727432b89104cc0849c21582949dd7bdcb34f17b2001a351a76 \ - --hash=sha256:e6f1278ee4785b6db21229374a1c9e54ec7c549de5d1efc9630b6207de7e170b \ - --hash=sha256:f7616236ec1bc2b15bfdec22a71ab38851c86f8f05ff64f379e1278cf20c634a \ - --hash=sha256:fb24ac194bfc5e86839d7dcd52092ee31e5fe6733fe11f5e3b06ef0812b20072 +pyarrow==23.0.1 \ + --hash=sha256:00be9576d970c31defb5c32eb72ef585bf600ef6d0a82d5eccaae96639cf9d07 \ + --hash=sha256:07deae7783782ac7250989a7b2ecde9b3c343a643f82e8a4df03d93b633006f0 \ + --hash=sha256:0ae6e17c828455b6265d590100c295193f93cc5675eb0af59e49dbd00d2de350 \ + --hash=sha256:0b95a3994f015be13c63148fef8832e8a23938128c185ee951c98908a696e0eb \ + --hash=sha256:17cd28e906c18af486a499422740298c52d7c6795344ea5002a7720b4eadf16d \ + --hash=sha256:26d50dee49d741ac0e82185033488d28d35be4d763ae6f321f97d1140eb7a0e9 \ + --hash=sha256:29f7f7419a0e30264ea261fdc0e5fe63ce5a6095003db2945d7cd78df391a7e1 \ + --hash=sha256:33d648dc25b51fd8055c19e4261e813dfc4d2427f068bcecc8b53d01b81b0500 \ + --hash=sha256:3a4c85ef66c134161987c17b147d6bffdca4566f9a4c1d81a0a01cdf08414ea5 \ + --hash=sha256:3c30143b17161310f151f4a2bcfe41b5ff744238c1039338779424e38579d701 \ + --hash=sha256:3f91c038b95f71ddfc865f11d5876c42f343b4495535bd262c7b321b0b94507c \ + --hash=sha256:3fab8f82571844eb3c460f90a75583801d14ca0cc32b1acc8c361650e006fd56 \ + --hash=sha256:46718a220d64677c93bc243af1d44b55998255427588e400677d7192671845c7 \ + --hash=sha256:4982d71350b1a6e5cfe1af742c53dfb759b11ce14141870d05d9e540d13bc5d1 \ + --hash=sha256:527e8d899f14bd15b740cd5a54ad56b7f98044955373a17179d5956ddb93d9ce \ + --hash=sha256:564baf97c858ecc03ec01a41062e8f4698abc3e6e2acd79c01c2e97880a19730 \ + --hash=sha256:5abde149bb3ce524782d838eb67ac095cd3fd6090eba051130589793f1a7f76d \ + --hash=sha256:5c16ed4f53247fa3ffb12a14d236de4213a4415d127fe9cebed33d51671113e2 \ + --hash=sha256:5df1161da23636a70838099d4aaa65142777185cc0cdba4037a18cee7d8db9ca \ + --hash=sha256:5f4763b83c11c16e5f4c15601ba6dfa849e20723b46aa2617cb4bffe8768479f \ + --hash=sha256:6b8fda694640b00e8af3c824f99f789e836720aa8c9379fb435d4c4953a756b8 \ + --hash=sha256:6f0147ee9e0386f519c952cc670eb4a8b05caa594eeffe01af0e25f699e4e9bb \ + --hash=sha256:7044b442f184d84e2351e5084600f0d7343d6117aabcbc1ac78eb1ae11eb4125 \ + --hash=sha256:71c5be5cbf1e1cb6169d2a0980850bccb558ddc9b747b6206435313c47c37677 \ + --hash=sha256:76e823d0e86b4fb5e1cf4a58d293036e678b5a4b03539be933d3b31f9406859f \ + --hash=sha256:7707d2b6673f7de054e2e83d59f9e805939038eebe1763fe811ee8fa5c0cd1a7 \ + --hash=sha256:813d99f31275919c383aab17f0f455a04f5a429c261cc411b1e9a8f5e4aaaa05 \ + --hash=sha256:86ff03fb9f1a320266e0de855dee4b17da6794c595d207f89bba40d16b5c78b9 \ + --hash=sha256:8ff51b1addc469b9444b7c6f3548e19dc931b172ab234e995a60aea9f6e6025f \ + --hash=sha256:9b6f4f17b43bc39d56fec96e53fe89d94bac3eb134137964371b45352d40d0c2 \ + --hash=sha256:9fc13fc6c403d1337acab46a2c4346ca6c9dec5780c3c697cf8abfd5e19b6b37 \ + --hash=sha256:a09f3876e87f48bc2f13583ab551f0379e5dfb83210391e68ace404181a20690 \ + --hash=sha256:a35581e856a2fafa12f3f54fce4331862b1cfb0bef5758347a858a4aa9d6bae8 \ + --hash=sha256:a62e1899e3078bf65943078b3ad2a6ddcacf2373bc06379aac61b1e548a75814 \ + --hash=sha256:b8c5873e33440b2bc2f4a79d2b47017a89c5a24116c055625e6f2ee50523f019 \ + --hash=sha256:bf5842f960cddd2ef757d486041d57c96483efc295a8c4a0e20e704cbbf39c67 \ + --hash=sha256:c2139549494445609f35a5cda4eb94e2c9e4d704ce60a095b342f82460c73a83 \ + --hash=sha256:c250248f1fe266db627921c89b47b7c06fee0489ad95b04d50353537d74d6886 \ + --hash=sha256:c33b5bf406284fd0bba436ed6f6c3ebe8e311722b441d89397c54f871c6863a2 \ + --hash=sha256:cd395abf8f91c673dd3589cadc8cc1ee4e8674fa61b2e923c8dd215d9c7d1f41 \ + --hash=sha256:cecfb12ef629cf6be0b1887f9f86463b0dd3dc3195ae6224e74006be4736035a \ + --hash=sha256:d0744403adabef53c985a7f8a082b502a368510c40d184df349a0a8754533258 \ + --hash=sha256:db2190fa79c80a23fdd29fef4b8992893f024ae7c17d2f5f4db7171fa30c2c78 \ + --hash=sha256:ddf743e82f69dcd6dbbcb63628895d7161e04e56794ef80550ac6f3315eeb1d5 \ + --hash=sha256:df088e8f640c9fae3b1f495b3c64755c4e719091caf250f3a74d095ddf3c836d \ + --hash=sha256:e052a211c5ac9848ae15d5ec875ed0943c0221e2fcfe69eee80b604b4e703222 \ + --hash=sha256:f00f993a8179e0e1c9713bcc0baf6d6c01326a406a9c23495ec1ba9c9ebf2919 \ + --hash=sha256:f4b0dbfa124c0bb161f8b5ebb40f1a680b70279aa0c9901d44a2b5a20806039f \ + --hash=sha256:fa8e51cb04b9f8c9c5ace6bab63af9a1f88d35c0d6cbf53e8c17c098552285e1 \ + --hash=sha256:fed7020203e9ef273360b9e45be52a2a47d3103caf156a30ace5247ffb51bdbd # via # feast (pyproject.toml) # dask @@ -3719,6 +4145,7 @@ pyarrow==24.0.0 \ # deltalake # google-cloud-bigquery # ibis-framework + # mlflow # pandas-gbq # snowflake-connector-python pyarrow-hotfix==0.7 \ @@ -3836,6 +4263,8 @@ pydantic==2.13.4 \ # fastapi-mcp # great-expectations # mcp + # mlflow-skinny + # mlflow-tracing # pydantic-settings # qdrant-client pydantic-core==2.46.4 \ @@ -4210,7 +4639,9 @@ pyopenssl==26.2.0 \ pyparsing==3.3.2 \ --hash=sha256:850ba148bd908d7e2411587e247a1e4f0327839c40e2e5e6d05a007ecc69911d \ --hash=sha256:c777f4d763f140633dcb6d8a3eda953bf7a214dc4eff598413c070bcdc117cbc - # via great-expectations + # via + # great-expectations + # matplotlib pypdfium2==4.30.0 \ --hash=sha256:0dfa61421b5eb68e1188b0b2231e7ba35735aef2d867d86e48ee6cab6975195e \ --hash=sha256:119b2969a6d6b1e8d55e99caaf05290294f2d0fe49c12a3f17102d01c441bd29 \ @@ -4437,10 +4868,12 @@ python-dateutil==2.9.0 \ # botocore # elasticsearch # google-cloud-bigquery + # graphene # great-expectations # ibis-framework # jupyter-client # kubernetes + # matplotlib # moto # openlineage-python # pandas @@ -4453,6 +4886,7 @@ python-dotenv==1.2.2 \ --hash=sha256:1d8214789a24de455a8b8bd8ae6fe3c6b69a5e3d64aa8a8e5d68e694bbcb285a \ --hash=sha256:2c371a91fbd7ba082c2c1dc1f8bf89ca22564a087c2c287cd9b662adde799cf3 # via + # mlflow-skinny # pydantic-settings # pymilvus # testcontainers @@ -4465,9 +4899,9 @@ python-keycloak==4.2.2 \ --hash=sha256:1d43a1accd4a038ed39317fcb3eb78211df6c75bbcbc4c482c99ee76327136f2 \ --hash=sha256:5137fd87c69031a372a578df96bae96b9aead2c9dad976613bc978e9e0246a1e # via feast (pyproject.toml) -python-multipart==0.0.28 \ - --hash=sha256:10faac07eb966c3f48dc415f9dee46c04cb10d58d30a35677db8027c825ed9b6 \ - --hash=sha256:8550da197eac0f7ab748961fc9509b999fa2662ea25cef857f05249f6893c0f8 +python-multipart==0.0.29 \ + --hash=sha256:2ddcc971cef266225f54f552d8fa10bcfbb1f14446caec199060daac59ff2d69 \ + --hash=sha256:643e93849196645e2dbdd81a0f8829a23123ad7f797a84a364c6fb3563f18904 # via mcp python-pptx==1.0.2 \ --hash=sha256:160838e0b8565a8b1f67947675886e9fea18aa5e795db7ae531606d68e785cba \ @@ -4565,6 +4999,7 @@ pyyaml==6.0.3 \ # huggingface-hub # jupyter-events # kubernetes + # mlflow-skinny # openlineage-python # pre-commit # ray @@ -4829,6 +5264,7 @@ requests==2.34.2 \ # via # feast (pyproject.toml) # azure-core + # databricks-sdk # datasets # docker # docling @@ -4840,6 +5276,7 @@ requests==2.34.2 \ # huggingface-hub # jupyterlab-server # kubernetes + # mlflow-skinny # moto # msal # openlineage-python @@ -5137,7 +5574,9 @@ scikit-learn==1.7.2 \ --hash=sha256:fa8f63940e29c82d1e67a45d5297bdebbcb585f5a5a50c4914cc2e852ab77f33 # via # feast (pyproject.toml) + # mlflow # sentence-transformers + # skops scipy==1.15.3 \ --hash=sha256:05dc6abcd105e1a29f95eada46d4a3f251743cfd7d3ae8ddb4088047f24ea477 \ --hash=sha256:06efcba926324df1696931a57a176c80848ccd67ce6ad020c810736bfd58eb1c \ @@ -5189,9 +5628,11 @@ scipy==1.15.3 \ # docling # easyocr # great-expectations + # mlflow # scikit-image # scikit-learn # sentence-transformers + # skops semchunk==3.2.5 \ --hash=sha256:ee15e9a06a69a411937dd8fcf0a25d7ef389c5195863140436872a02c95b0218 \ --hash=sha256:fd09cc5f380bd010b8ca773bd81893f7eaf11d37dd8362a83d46cedaf5dae076 @@ -5211,6 +5652,8 @@ setuptools==80.10.2 \ # feast (pyproject.toml) # grpcio-tools # jupyterlab + # opentelemetry-api + # opentelemetry-sdk # pandas-gbq # pbr # pip-tools @@ -5300,6 +5743,14 @@ six==1.17.0 \ # python-dateutil # rfc3339-validator # thriftpy2 +skops==0.14.0 \ + --hash=sha256:60a5db78a9db46ccee2139a0ba13ab5afb1c96f4749b382e75a371291bbe3e36 \ + --hash=sha256:6c8c0e047f691a3a582c3258943eecafcbfd79c8c7eef66260f3703e363254f0 + # via mlflow +smmap==5.0.3 \ + --hash=sha256:4d9debb8b99007ae47165abc08670bd74cb74b5227dda7f643eccc4e9eb5642c \ + --hash=sha256:c106e05d5a61449cf6ba9a1e650227ecfb141590d2a98412103ff35d89fc7b2f + # via gitdb sniffio==1.3.1 \ --hash=sha256:2f6da418d1f1e0fddd844478f41680e794e6051915791a034ff65e5f100525a2 \ --hash=sha256:f4324edc670a0f49750a81b895f35c3adb843cca46f0530f79fc1babb23789dc @@ -5438,7 +5889,10 @@ sqlalchemy[mypy]==2.0.49 \ --hash=sha256:e06e617e3d4fd9e51d385dfe45b077a41e9d1b033a7702551e3278ac597dc750 \ --hash=sha256:ec44cfa7ef1a728e88ad41674de50f6db8cfdb3e2af84af86e0041aaf02d43d0 \ --hash=sha256:fb37f15714ec2652d574f021d479e78cd4eb9d04396dca36568fdfffb3487982 - # via feast (pyproject.toml) + # via + # feast (pyproject.toml) + # alembic + # mlflow sqlglot[rs]==30.8.0 \ --hash=sha256:1c5f93fb742dd9aaa75eee6bb33a637794a858b9a86375fac23a2dc0f7bc127e \ --hash=sha256:af903378c331d5b72277a1b41118f07bc3e50cf4478e2d47eed12c96ee6a22a4 @@ -5483,6 +5937,10 @@ sqlparams==6.2.0 \ --hash=sha256:3744a2ad16f71293db6505b21fd5229b4757489a9b09f3553656a1ae97ba7ca5 \ --hash=sha256:63b32ed9051bdc52e7e8b38bc4f78aed51796cdd9135e730f4c6a7db1048dedf # via singlestoredb +sqlparse==0.5.5 \ + --hash=sha256:12a08b3bf3eec877c519589833aed092e2444e68240a3577e8e26148acc7b1ba \ + --hash=sha256:e20d4a9b0b8585fdf63b10d30066c7c94c5d7a7ec47c889a2d83a3caa93ff28e + # via mlflow-skinny sse-starlette==3.4.4 \ --hash=sha256:07e0fa0460138baf25cdd5fb28683472c3995dc1642225191b3832d62526bcb0 \ --hash=sha256:3f4dd50d8aed2771a091f3a83000323fc3844541c16b4fe585ae2420cc6df973 @@ -5491,12 +5949,13 @@ stack-data==0.6.3 \ --hash=sha256:836a778de4fec4dcd1dcd89ed8abff8a221f58308462e1c4aa2a3cf30148f0b9 \ --hash=sha256:d5558e0c25a4cb0853cddad3d77da9891a08cb85dd9f9f91b9f8cd66e511e695 # via ipython -starlette==1.0.0 \ - --hash=sha256:6a4beaf1f81bb472fd19ea9b918b50dc3a77a6f2e190a12954b25e6ed5eea149 \ - --hash=sha256:d3ec55e0bb321692d275455ddfd3df75fff145d009685eb40dc91fc66b03d38b +starlette==0.52.1 \ + --hash=sha256:0029d43eb3d273bc4f83a08720b4912ea4b071087a3b48db01b7c839f7954d74 \ + --hash=sha256:834edd1b0a23167694292e94f597773bc3f89f362be6effee198165a35d62933 # via # fastapi # mcp + # mlflow-skinny # sse-starlette sympy==1.14.0 \ --hash=sha256:d3d3fe8df1e5a0b42f0e7bdf50541697dbe7d23746e894990c030e2b05e72517 \ @@ -5685,6 +6144,7 @@ tomli==2.4.1 \ --hash=sha256:ff18e6a727ee0ab0388507b89d1bc6a22b138d1e2fa56d1ad494586d61d2eae9 \ --hash=sha256:ff2983983d34813c1aeb0fa89091e76c3a22889ee83ab27c5eeb45100560c049 # via + # alembic # build # coverage # fastapi-mcp @@ -5931,9 +6391,9 @@ typer==0.12.5 \ # docling # docling-core # fastapi-mcp -types-cffi==2.0.0.20260508 \ - --hash=sha256:746b081b4bf84f9d8855c517a67c2dff717f3c18657fcff8e9c251fb5778f311 \ - --hash=sha256:d094065daf4edcfbdd3e11c37d2fa9511eaf7c509da7a9d9573c276398a8e745 +types-cffi==2.0.0.20260518 \ + --hash=sha256:5b68a215a95d0eac4203b58e766ff7fe40c2e091b1fa1a9e54111f04cc560084 \ + --hash=sha256:f9707e66c13454789a58f8843d1ded4a66f1e9c8b10bd24d5eb5e0f25c0c5472 # via types-pyopenssl types-protobuf==3.19.22 \ --hash=sha256:d291388678af91bb045fafa864f142dc4ac22f5d4cdca097c7d8d8a32fa9b3ab \ @@ -5941,25 +6401,25 @@ types-protobuf==3.19.22 \ # via # feast (pyproject.toml) # mypy-protobuf -types-pymysql==1.1.0.20260508 \ - --hash=sha256:49abf0c2f8d944384834544a8f25ea1b25018c3d815f7ec676f73d0b7fe0731c \ - --hash=sha256:a726e6f867e0a1027a297c89d7646e4d52b7db6ccd11b2a40780120257610c78 +types-pymysql==1.1.0.20260518 \ + --hash=sha256:39a2448c4267dc4551e0824d2bfaecf7dfd171e89e6dbba90f4d4d45d55e4342 \ + --hash=sha256:cf697ce4e44124fc859e8e8a7f047c1dc864745c3c628b85a51b3ee01502ef98 # via feast (pyproject.toml) types-pyopenssl==24.1.0.20240722 \ --hash=sha256:47913b4678a01d879f503a12044468221ed8576263c1540dcb0484ca21b08c39 \ --hash=sha256:6a7a5d2ec042537934cfb4c9d4deb0e16c4c6250b09358df1f083682fe6fda54 # via types-redis -types-python-dateutil==2.9.0.20260508 \ - --hash=sha256:596a6d63d81f587bf04c8254fb78df9d2344e915ce67948d7400512e3a6206d5 \ - --hash=sha256:bfc6fd2d81aa86e5ac97206a64304f6bd247426eedbca9b98619bbc48c6a1c10 +types-python-dateutil==2.9.0.20260518 \ + --hash=sha256:51f02dc03b61c7f6a07df45797d4dfe8a1aa47f0b7db9ad89f6fd3a1a70e1b51 \ + --hash=sha256:d6a9c5bd0de61460c8fdef8ab2b400f956a1a1075cce08d4e2b4434e478c50b8 # via feast (pyproject.toml) -types-pytz==2026.2.0.20260506 \ - --hash=sha256:58ab5307c20885f9bcd42ff106616eb0e32710791f8cbdc770aee2ea0c4f01fb \ - --hash=sha256:fc6a0de6a1b7da82a748fb4065e152372dac3016559cb1eef5e8af1e338eb627 +types-pytz==2026.2.0.20260518 \ + --hash=sha256:3a12eaa38f476bd650902a9c9bb442f03f3c7dee2be5c5848bce61bd708d205a \ + --hash=sha256:e5d254329e9c4e91f0781b22c43a4bb2d10bb044d97b24c4b05d45567b0eae16 # via feast (pyproject.toml) -types-pyyaml==6.0.12.20260510 \ - --hash=sha256:09c1f1cb65a6eebea1e2e51ccf4918b8288e152909609a35cdb0d805efd125ad \ - --hash=sha256:3492eb9ba4d9d833473214c4d5736cccf5f37d93f5854059721e1c84f785309d +types-pyyaml==6.0.12.20260518 \ + --hash=sha256:d2150f75a231c9fe9c7463bd29487d93e60bac90400287351384bc2284eba7cd \ + --hash=sha256:d917f83fb38462550338c1297faedd860b3ec83912b96b1e3d73255f7473e466 # via feast (pyproject.toml) types-redis==4.6.0.20241004 \ --hash=sha256:5f17d2b3f9091ab75384153bfa276619ffa1cf6a38da60e10d5e6749cc5b902e \ @@ -5969,9 +6429,9 @@ types-requests==2.30.0.0 \ --hash=sha256:c6cf08e120ca9f0dc4fa4e32c3f953c3fba222bcc1db6b97695bce8da1ba9864 \ --hash=sha256:dec781054324a70ba64430ae9e62e7e9c8e4618c185a5cb3f87a6738251b5a31 # via feast (pyproject.toml) -types-setuptools==82.0.0.20260508 \ - --hash=sha256:ba1d863bbd11526d7232bca8d5a4aebe1d38fa1677a550f47a2692b7d5776900 \ - --hash=sha256:e76ade6f42ba9b4211636b84b65a8e55948a67ffe81f9a44e66b8af93d57e77e +types-setuptools==82.0.0.20260518 \ + --hash=sha256:31c04a62b57a653a5021caf191be0f10f70df890f813b51f02bab3969d300f20 \ + --hash=sha256:3b743cfe63d0981ea4c15b90710fc1ed41e3464a537d51e705be514e891c1d07 # via # feast (pyproject.toml) # types-cffi @@ -5988,6 +6448,7 @@ typing-extensions==4.15.0 \ --hash=sha256:f0fa19c6845758ab08074a0cfa8b7aecb71c999ca73d62883bc25cc018c4e548 # via # aiosignal + # alembic # anyio # async-lru # azure-core @@ -6000,6 +6461,7 @@ typing-extensions==4.15.0 \ # elasticsearch # exceptiongroup # fastapi + # graphene # great-expectations # huggingface-hub # ibis-framework @@ -6008,8 +6470,10 @@ typing-extensions==4.15.0 \ # mcp # minio # mistune + # mlflow-skinny # multidict # mypy + # opentelemetry-sdk # oracledb # psycopg # psycopg-pool @@ -6156,6 +6620,7 @@ uvicorn[standard]==0.34.0 \ # feast (pyproject.toml) # fastapi-mcp # mcp + # mlflow-skinny # uvicorn-worker uvicorn-worker==0.3.0 \ --hash=sha256:6baeab7b2162ea6b9612cbe149aa670a76090ad65a267ce8e27316ed13c7de7b \ @@ -6218,121 +6683,121 @@ virtualenv==20.23.0 \ # via # feast (pyproject.toml) # pre-commit -watchfiles==1.1.1 \ - --hash=sha256:00485f441d183717038ed2e887a7c868154f216877653121068107b227a2f64c \ - --hash=sha256:03fa0f5237118a0c5e496185cafa92878568b652a2e9a9382a5151b1a0380a43 \ - --hash=sha256:04e78dd0b6352db95507fd8cb46f39d185cf8c74e4cf1e4fbad1d3df96faf510 \ - --hash=sha256:059098c3a429f62fc98e8ec62b982230ef2c8df68c79e826e37b895bc359a9c0 \ - --hash=sha256:08af70fd77eee58549cd69c25055dc344f918d992ff626068242259f98d598a2 \ - --hash=sha256:0b495de0bb386df6a12b18335a0285dda90260f51bdb505503c02bcd1ce27a8b \ - --hash=sha256:130e4876309e8686a5e37dba7d5e9bc77e6ed908266996ca26572437a5271e18 \ - --hash=sha256:14e0b1fe858430fc0251737ef3824c54027bedb8c37c38114488b8e131cf8219 \ - --hash=sha256:17ef139237dfced9da49fb7f2232c86ca9421f666d78c264c7ffca6601d154c3 \ - --hash=sha256:1a0bb430adb19ef49389e1ad368450193a90038b5b752f4ac089ec6942c4dff4 \ - --hash=sha256:1db5d7ae38ff20153d542460752ff397fcf5c96090c1230803713cf3147a6803 \ - --hash=sha256:28475ddbde92df1874b6c5c8aaeb24ad5be47a11f87cde5a28ef3835932e3e94 \ - --hash=sha256:2edc3553362b1c38d9f06242416a5d8e9fe235c204a4072e988ce2e5bb1f69f6 \ - --hash=sha256:30f7da3fb3f2844259cba4720c3fc7138eb0f7b659c38f3bfa65084c7fc7abce \ - --hash=sha256:311ff15a0bae3714ffb603e6ba6dbfba4065ab60865d15a6ec544133bdb21099 \ - --hash=sha256:319b27255aacd9923b8a276bb14d21a5f7ff82564c744235fc5eae58d95422ae \ - --hash=sha256:35c53bd62a0b885bf653ebf6b700d1bf05debb78ad9292cf2a942b23513dc4c4 \ - --hash=sha256:36193ed342f5b9842edd3532729a2ad55c4160ffcfa3700e0d54be496b70dd43 \ - --hash=sha256:39574d6370c4579d7f5d0ad940ce5b20db0e4117444e39b6d8f99db5676c52fd \ - --hash=sha256:399600947b170270e80134ac854e21b3ccdefa11a9529a3decc1327088180f10 \ - --hash=sha256:3a476189be23c3686bc2f4321dd501cb329c0a0469e77b7b534ee10129ae6374 \ - --hash=sha256:3ad9fe1dae4ab4212d8c91e80b832425e24f421703b5a42ef2e4a1e215aff051 \ - --hash=sha256:3bc570d6c01c206c46deb6e935a260be44f186a2f05179f52f7fcd2be086a94d \ - --hash=sha256:3dbd8cbadd46984f802f6d479b7e3afa86c42d13e8f0f322d669d79722c8ec34 \ - --hash=sha256:3e6f39af2eab0118338902798b5aa6664f46ff66bc0280de76fca67a7f262a49 \ - --hash=sha256:3f53fa183d53a1d7a8852277c92b967ae99c2d4dcee2bfacff8868e6e30b15f7 \ - --hash=sha256:3f6d37644155fb5beca5378feb8c1708d5783145f2a0f1c4d5a061a210254844 \ - --hash=sha256:3f7eb7da0eb23aa2ba036d4f616d46906013a68caf61b7fdbe42fc8b25132e77 \ - --hash=sha256:3fa0b59c92278b5a7800d3ee7733da9d096d4aabcfabb9a928918bd276ef9b9b \ - --hash=sha256:421e29339983e1bebc281fab40d812742268ad057db4aee8c4d2bce0af43b741 \ - --hash=sha256:4b943d3668d61cfa528eb949577479d3b077fd25fb83c641235437bc0b5bc60e \ - --hash=sha256:526e86aced14a65a5b0ec50827c745597c782ff46b571dbfe46192ab9e0b3c33 \ - --hash=sha256:52e06553899e11e8074503c8e716d574adeeb7e68913115c4b3653c53f9bae42 \ - 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--hash=sha256:b0ef001f8c25ad0fa9529f914c1600647ecd0f542d11c19b7894768c67b6acb7 \ + --hash=sha256:b141a4891c995a039cd89e9a49e62df1dc8a559a5d1a6e4c7106d16c12777a55 \ + --hash=sha256:b4e77f6a55f858504069abd35d336a637555c09bca453dde1ee1e5ada8a6a1fb \ + --hash=sha256:b62f042afde2dde21ec1d2c1a74361e804673df86f51e418a999c9acfe671b07 \ + --hash=sha256:b718bf356bbc15e559bd8ef41782b573b8ae0e3f177ab244b440568d7ea02cfb \ + --hash=sha256:b8c8358484d5fa12ef34f05b7f4168eaf1932f408725ff6d023c33ec17bd79d4 \ + --hash=sha256:b974946a10af379d425e2eef5b62f5c6ebeaccf91d45eaad6f5b27ecd4f91aa0 \ + --hash=sha256:b9909cc2b48468b575eefa944919e1fe8a36c5849d5c7c168f80a8c1db69398e \ + --hash=sha256:b9f732dc58b2dbe69e464ccf8fff7a03b0dd0be439da4c0720d3558527d3d6b4 \ + --hash=sha256:bb68bf4df85abebe5efddc53cf2075520f243a59868d9b3973278b23e76962a9 \ + --hash=sha256:bb7e52ecf68ba46d22df23467b87cffeb2146908aa523ebfe803019618cfda06 \ + --hash=sha256:bc13eb17538be00c874699dc0abe4ee2bc8d50bb1166a6b9e175ef3fd7eb8f26 \ + --hash=sha256:c0db965c5f79aa49fe672d297cf1febc5ad149b658594944f49a54a2b96270a7 \ + --hash=sha256:c16cb06dd17d43b9d185094268459eac92c9538356f050e55b54e82cf700e1d4 \ + --hash=sha256:c525543d91961c6955b2636b308569e84a1d1c5f5f2932041ab9ef46422f43e3 \ + --hash=sha256:c5c19526f4e54a00f2666a6c0e9e40d582c09e865055ea7378bf0009aab857b3 \ + --hash=sha256:c995fba777f1ea992f090f9236e9284cf7a5d1a0130dd5a3d82c598cacd76838 \ + --hash=sha256:ca148d73dea36c9763aaa351e4d7a51780ec1584217c45276f4fe8239c768b71 \ + --hash=sha256:cee9d5efd929efdac5f7e58f72b3376f676b64050a91c5b99a7094c5b2317488 \ + --hash=sha256:d158cd89df6053823533e06fb1d73c549133bff5f0396170c0e53d9559340717 \ + --hash=sha256:d20029a60a71a052a24c4db7673bc4de39ab89adbaccbfb5d67987c5d73f424d \ + --hash=sha256:d413349d565dab74297f2a63e84a097936be69bf8f3b3801f27f380e32040f44 \ + --hash=sha256:d4a4b147f5dca2a5d325a06a832fb43f345751adfbc63204aec30e0d9ca965a2 \ + --hash=sha256:d516b3283a758e087841aedb8031549fb41ced08f3db10aa6d2bf32dc042525b \ + --hash=sha256:d73a585accffa5ae39c17264c36ec3166d2fad7000c780f5ef83b2722afb9dd2 \ + --hash=sha256:dbd6c97045dad81227c8d040173da044c1de08de64a5ea8b555da4aee1d5fa22 \ + --hash=sha256:e0618518f282c4ebff60f5e5b1247b6d91bb8b9f4476947563a1e74acc66f3c6 \ + --hash=sha256:e140ed30ebde76796b686e67c182cff10ea2fbab186fafd1560f74bb5a473a6e \ + --hash=sha256:e1cfd51e97e13ff3bd047c140764d277fc9b95b7cb5da59e46a47d167adab310 \ + --hash=sha256:e2ca07fa7d89195ec0865d3d285666286740bfa83d83e5cee204043a31ecc165 \ + --hash=sha256:e53a384f76b631c3ae5334ce6a52f0baa3a911eb94a4eac7f160079868b716d5 \ + --hash=sha256:eb283ee99e21ad6443c8cdb06ac5b34b1308c329cbdf03fa02b445363714c799 \ + --hash=sha256:eb72919d93e3a16fc451d3aa3d4b1698423daca1b382d3d959c9ac51297c12a8 \ + --hash=sha256:ecb47f183a8025b2aa18b546725c3657e542112ae9c0613a2af79b4fa8d04ad7 \ + --hash=sha256:f155b3a1b2a5fc89cdc70d47ee5d54e3b75e88efa34982028a35daef9ba00379 \ + --hash=sha256:f22943b7770483f6ea0721c6b11d022947a98eb0acae14694de034f4d0d38925 \ + --hash=sha256:f28b2725eb8cce327b9b3ab02415c853011dc55c95832fe90de6bc56f5315f72 \ + --hash=sha256:f88af53d6ddaf72179ef613ddc905e6f4785f712b49b80b3bef9f3525e6194b4 \ + --hash=sha256:faea288b6f0ab1902ef08f4ca6de005dccf856c4e0c4f21b8c5fce02d90a1b08 \ + --hash=sha256:fff610d7bb2256a317bb1e96f0d7862c7aa8076733ee5df0fd41bbe76a24a4f4 # via uvicorn wcwidth==0.7.0 \ --hash=sha256:5d69154c429a82910e241c738cd0e2976fac8a2dd47a1a805f4afed1c0f136f2 \ --hash=sha256:90e3a7ea092341c44b99562e75d09e4d5160fe7a3974c6fb842a101a95e7eed0 - # via prompt-toolkit + # via + # prettytable + # prompt-toolkit webcolors==25.10.0 \ --hash=sha256:032c727334856fc0b968f63daa252a1ac93d33db2f5267756623c210e57a4f1d \ --hash=sha256:62abae86504f66d0f6364c2a8520de4a0c47b80c03fc3a5f1815fedbef7c19bf @@ -6415,7 +6880,10 @@ websockets==16.0 \ werkzeug==3.1.8 \ --hash=sha256:63a77fb8892bf28ebc3178683445222aa500e48ebad5ec77b0ad80f8726b1f50 \ --hash=sha256:9bad61a4268dac112f1c5cd4630a56ede601b6ed420300677a869083d70a4c44 - # via moto + # via + # flask + # flask-cors + # moto wheel==0.47.0 \ --hash=sha256:212281cab4dff978f6cedd499cd893e1f620791ca6ff7107cf270781e587eced \ --hash=sha256:cc72bd1009ba0cf63922e28f94d9d83b920aa2bb28f798a31d0691b02fa3c9b3 @@ -6839,9 +7307,9 @@ yarl==1.23.0 \ --hash=sha256:fe8f8f5e70e6dbdfca9882cd9deaac058729bcf323cf7a58660901e55c9c94f6 \ --hash=sha256:fffc45637bcd6538de8b85f51e3df3223e4ad89bccbfca0481c08c7fc8b7ed7d # via aiohttp -zipp==3.23.1 \ - --hash=sha256:0b3596c50a5c700c9cb40ba8d86d9f2cc4807e9bedb06bcdf7fac85633e444dc \ - --hash=sha256:32120e378d32cd9714ad503c1d024619063ec28aad2248dc6672ad13edfa5110 +zipp==4.1.0 \ + --hash=sha256:25ad4e16390cd314347dd8f1de67a2ac538ae658ed4ab9db16029c07c188e97f \ + --hash=sha256:4cb57381f544315db7688e976e922a2b18cdb513d21cc194eb42232ba2a3e602 # via importlib-metadata zstandard==0.25.0 \ --hash=sha256:011d388c76b11a0c165374ce660ce2c8efa8e5d87f34996aa80f9c0816698b64 \ diff --git a/sdk/python/requirements/py3.10-minimal-requirements.txt b/sdk/python/requirements/py3.10-minimal-requirements.txt index 9a03493a6ab..82ae24de53a 100644 --- a/sdk/python/requirements/py3.10-minimal-requirements.txt +++ b/sdk/python/requirements/py3.10-minimal-requirements.txt @@ -161,38 +161,40 @@ asn1crypto==1.5.1 \ --hash=sha256:13ae38502be632115abf8a24cbe5f4da52e3b5231990aff31123c805306ccb9c \ --hash=sha256:db4e40728b728508912cbb3d44f19ce188f218e9eba635821bb4b68564f8fd67 # via snowflake-connector-python -ast-serialize==0.4.0 \ - --hash=sha256:074032142777e3e6091977dc3c5146a8ca58ae6825b7f64e9a0b604153ddabd8 \ - --hash=sha256:1026f565a7ab846337c630909089b3346a2fe417bf1552b1581ab01852137407 \ - --hash=sha256:1c5245228e65d38cb48e1251f0ca71b0fa417e527141491e8c92f740e8e2d121 \ - --hash=sha256:1e1fb90def261f6a0db885876f7e1a49ad2dbac38ad9f2f62dba2f9543af16e7 \ - --hash=sha256:3bdde2c4570143791f636aed4e3ef868f5b46eb90a18f8d5c41dd045aab08bef \ - --hash=sha256:404f3462b4532e13a70b8849bba241dbd82e30043ff58d98c7e762fd925b116a \ - --hash=sha256:43729a5e369ebbe7750635c0c206bc616fcd36e703cb9c4497d6b4df0291ee64 \ - --hash=sha256:4738790cf54d8b416de992b87ee567056980bc82134d52458bd4985f389d1658 \ - --hash=sha256:4db9769d57deb5545ce56ebbbbe3436dcc0ae2688ce14c295cd14e106624ece7 \ - --hash=sha256:6551d55b8607b97a7755683d743200b398c61a0b71a11b7f00c89c335a11d0f4 \ - --hash=sha256:6615b39cd747967c3aabe68bf3f5f26748e823cc6b474ddc1510ed188a824149 \ - --hash=sha256:70d9c5d527bbfa69bd3c7d17dac11fb6781e36186a434a06d7d5892e0b2f88f9 \ - --hash=sha256:7234ff086cb152ea2a3b7ef895b5ebeb6d80779df049d5c6431c8e3536d5b03c \ - --hash=sha256:732b4ef76adcb0f298a7d18c4558336d83b1384f9ae0c7eaa1dc8d031b0a4390 \ - --hash=sha256:74e4e634ab82d1466acf0be27043178570b98ebeaa3165f9240a6fad4c286471 \ - --hash=sha256:79c8d015c771c8bfdb1208003b227b27c40034790a2c29c09f2317a041825ce2 \ - --hash=sha256:7fba7315fd4bd87cb5560792709f6e66e0606402d362c0a38dd32dfb66ba6066 \ - --hash=sha256:8f5153e9c44a02e61f4042c5f9249d2e8a759773d621a0b2f445a899e536e181 \ - --hash=sha256:905fc11940831454d93589bd7ce2acb6a5eb01c2936156f751d2a21087c98cd3 \ - --hash=sha256:90fc5c0d35a22f1a92dd33635508626d50f8fc64deb897c23e78e666a60804c9 \ - --hash=sha256:91362c0a9fdf1c344b7f50a5b0508b11a0732102998fbd754a191f7187e77031 \ - --hash=sha256:91d3786f3929786cdc4eeedfd110abb4603e7f6c1390c5af398f333a947b742d \ - --hash=sha256:97c55336e16f5c4ca2bde7be94cca4b8f7d665d64f7008925a82e02707ba14ac \ - --hash=sha256:9ecd6a1fc1b86f1f4e8ae206759b6319c10019706b3496b01b54d02b9b2cd918 \ - --hash=sha256:a6f26937ce0293aafbece0e39019e020369a5a70486ff4088227f0cc888844a9 \ - --hash=sha256:b3db87c4772097c0782250bcd550d66b1189a8c889793c7bcf153f4fee70005c \ - --hash=sha256:bd50d201098aae0d202805fe9606c0545492f69a3ec4403337e32c54ad29fc41 \ - --hash=sha256:cf2ff7b654c8e95143e20f5d75878cbb78b65b928b26c4d58ef71cdba9d6d981 \ - --hash=sha256:dcd04f85a29deb80400e8987cfaceb9907140f763453cbffdbd6ff36f1b32c12 \ - --hash=sha256:dcded5056d9f3d201df7833082c07ebcbc566ffc3d4105c9fc9fe278fa086ecb \ - --hash=sha256:faa008dccfcb793ae9101325e4d6d026caaa5d845c2182f03749c759834b0a3a +ast-serialize==0.5.0 \ + --hash=sha256:061ee58bdb52341c8201a6df41182a977736bae3b7ded87ca7176ca25a8a47ab \ + --hash=sha256:0668aa9459cfa8c9c49ddd2163ebcf43088ba045ef7492af6fe22e0098303101 \ + --hash=sha256:104e4a35bd7c124173c41760ef9aaea17ddb3f86c65cb643671d59afbe3ee94c \ + --hash=sha256:143a4ef63285a075871908fda3672dc21864b83a8ec3ee12304aa3e4c5387b9a \ + --hash=sha256:16db7c62ec0b8efe1d7afd283a388d8f74f2605d56032e5a37747d2de8dba027 \ + --hash=sha256:1943db345233cc7194a470f13afa9c59772c0b123dea0c9414c4d4ca54369759 \ + --hash=sha256:239a4c354e8d676e9d94631d1d4a64edc6b266f86ff3a5a80aedd344f342c01d \ + --hash=sha256:2782c36237c46dd1674542f2109740ea5ea485a169bf1431939ada0434e17934 \ + --hash=sha256:27d51654fc240a1e87e742d353d98eb45b75f62f129086b3596ab53df2ac2a43 \ + --hash=sha256:36be371028fc1675acb38a331bde160dbab7ff907fdf00b67eb6911aa106951b \ + --hash=sha256:5499e8797edff2a9186aa313ed382c6b422e798e9332d9953badcee6e69a88f2 \ + --hash=sha256:5880091bfe6f4f986f22866375c2e884843e7a0b6343ae41aeea659613d879b6 \ + --hash=sha256:6848f2a093fb5548751a9a09bff8fcd229e2bbeb0e3331f391b6ae6d26cd9903 \ + --hash=sha256:787baedb0262cc49e8ce37cc15c00ae818e46a165a3b36f5e21ed174998104cb \ + --hash=sha256:7d1a2de9de5be04652f0ed60738356ef94f66db37924a9499fffe98dc491aa0b \ + --hash=sha256:832d4c998e0b091fd60a6d6bceee535483c4d490de9ba85003af835225719261 \ + --hash=sha256:842d1c004bb466c7df036f95fabef789570541922b10976b12f5592a69cf0b38 \ + --hash=sha256:8f5c14f169eb0972c0c21bada5358b23d6047c76583b005234f865b11f1fa00a \ + --hash=sha256:92a31c9c20d25a076edaeec76b128a3535d74a24f340b9a8a7e96c9b86dc9642 \ + --hash=sha256:9cc22cf0c9be65e71cf88fda130af60d61eb4a79370ad4cfe7900d48a4aa2211 \ + --hash=sha256:b0c06d760909b095cc466356dfccd05a1c7233a6ca191c020dca2c6a6f16c24c \ + --hash=sha256:b15219e9cdc9f53f6f4cb51c009203507228226148c05c5e8fe451c28b435eb3 \ + --hash=sha256:b54f60c1d78767a53b67eaa663f0dfac3afe606aa07f1301572f588b73d64809 \ + --hash=sha256:b725026bafa801dbd7310eb13a75f0a2e370e7e51b2cb225f9d21fcfadf919ee \ + --hash=sha256:baf5eb061eb5bccade4128ad42da33787d72f6013809cd1b590376ece8b3c937 \ + --hash=sha256:be5173fb66f9b49026d9d5a2ff0fc7c7009077107c0eb285b2d60fdf1fe10bd1 \ + --hash=sha256:bf683d6363edf2b39eed6b6d4fe22d34b6203867a67e27134d9e2a2680c4bc4a \ + --hash=sha256:cae65289fc456fde04af979a2be09302ef5d8ab92ef23e596d6746dc267ada27 \ + --hash=sha256:cf25572c526add400f26a4750dc6ce0c3bb93fc1f75e7ae0cad4ce4f2cd5c590 \ + --hash=sha256:df1c00022cbbcb064bfaa505aa9c9295362443ce5dacb459d1331d3da353f887 \ + --hash=sha256:e42d729ef2be96a14efbad355093284739e3670ece3e534f82cc8832790911d9 \ + --hash=sha256:f66173891548c9f2726bf27957b41cabce12fa679dc6da505ddbde4d4b3b31cf \ + --hash=sha256:f8015cd071ac1339924ee2b8098c93e00e155f30a16f40ec9816fcf84f4753f6 # via mypy async-timeout==5.0.1 \ --hash=sha256:39e3809566ff85354557ec2398b55e096c8364bacac9405a7a1fa429e77fe76c \ @@ -459,9 +461,9 @@ charset-normalizer==3.4.7 \ # via # requests # snowflake-connector-python -click==8.3.3 \ - --hash=sha256:398329ad4837b2ff7cbe1dd166a4c0f8900c3ca3a218de04466f38f6497f18a2 \ - --hash=sha256:a2bf429bb3033c89fa4936ffb35d5cb471e3719e1f3c8a7c3fff0b8314305613 +click==8.4.0 \ + --hash=sha256:40c50b7c6c6adac2823d411041ec84f3f103f1b280d5e9ce0d7f998995832f81 \ + --hash=sha256:638f1338fe1235c8f4e008e4a8a254fb5c5fbdcbb40ece3c9142ebb78e792973 # via # feast (pyproject.toml) # dask @@ -755,9 +757,9 @@ google-api-core[grpc]==2.30.3 \ # google-cloud-datastore # google-cloud-storage # pandas-gbq -google-auth==2.52.0 \ - --hash=sha256:01f30e1a9e3638698d89464f5e603ce29d18e1c0e63ec31ac570aba4e164aaf5 \ - --hash=sha256:aee92803ba0ff93a70a3b8a35c7b4797837751cd6380b63ff38372b98f3ed627 +google-auth==2.53.0 \ + --hash=sha256:6e7449917c599b35126a99ec268ec6880301f2fea41dce198fe8fd83ff642b68 \ + --hash=sha256:e7e6aa16f6bee7b2b264830fd04f08087a1d5a836df516251a5d15327b246c9c # via # google-api-core # google-auth-oauthlib @@ -2294,9 +2296,9 @@ python-dotenv==1.2.2 \ # pydantic-settings # pymilvus # uvicorn -python-multipart==0.0.28 \ - --hash=sha256:10faac07eb966c3f48dc415f9dee46c04cb10d58d30a35677db8027c825ed9b6 \ - --hash=sha256:8550da197eac0f7ab748961fc9509b999fa2662ea25cef857f05249f6893c0f8 +python-multipart==0.0.29 \ + --hash=sha256:2ddcc971cef266225f54f552d8fa10bcfbb1f14446caec199060daac59ff2d69 \ + --hash=sha256:643e93849196645e2dbdd81a0f8829a23123ad7f797a84a364c6fb3563f18904 # via mcp pytz==2026.2 \ --hash=sha256:04156e608bee23d3792fd45c94ae47fae1036688e75032eea2e3bf0323d1f126 \ @@ -2758,9 +2760,9 @@ typer==0.25.1 \ --hash=sha256:75caa44ed46a03fb2dab8808753ffacdbfea88495e74c85a28c5eefcf5f39c89 \ --hash=sha256:9616eb8853a09ffeabab1698952f33c6f29ffdbceb4eaeecf571880e8d7664cc # via fastapi-mcp -types-pymysql==1.1.0.20260508 \ - --hash=sha256:49abf0c2f8d944384834544a8f25ea1b25018c3d815f7ec676f73d0b7fe0731c \ - --hash=sha256:a726e6f867e0a1027a297c89d7646e4d52b7db6ccd11b2a40780120257610c78 +types-pymysql==1.1.0.20260518 \ + --hash=sha256:39a2448c4267dc4551e0824d2bfaecf7dfd171e89e6dbba90f4d4d45d55e4342 \ + --hash=sha256:cf697ce4e44124fc859e8e8a7f047c1dc864745c3c628b85a51b3ee01502ef98 # via feast (pyproject.toml) typing-extensions==4.15.0 \ --hash=sha256:0cea48d173cc12fa28ecabc3b837ea3cf6f38c6d1136f85cbaaf598984861466 \ @@ -2950,116 +2952,114 @@ uvloop==0.22.1 \ --hash=sha256:ef6f0d4cc8a9fa1f6a910230cd53545d9a14479311e87e3cb225495952eb672c \ --hash=sha256:fe94b4564e865d968414598eea1a6de60adba0c040ba4ed05ac1300de402cd42 # via uvicorn -watchfiles==1.1.1 \ - --hash=sha256:00485f441d183717038ed2e887a7c868154f216877653121068107b227a2f64c \ - --hash=sha256:03fa0f5237118a0c5e496185cafa92878568b652a2e9a9382a5151b1a0380a43 \ - --hash=sha256:04e78dd0b6352db95507fd8cb46f39d185cf8c74e4cf1e4fbad1d3df96faf510 \ - --hash=sha256:059098c3a429f62fc98e8ec62b982230ef2c8df68c79e826e37b895bc359a9c0 \ - --hash=sha256:08af70fd77eee58549cd69c25055dc344f918d992ff626068242259f98d598a2 \ - --hash=sha256:0b495de0bb386df6a12b18335a0285dda90260f51bdb505503c02bcd1ce27a8b \ - --hash=sha256:130e4876309e8686a5e37dba7d5e9bc77e6ed908266996ca26572437a5271e18 \ - --hash=sha256:14e0b1fe858430fc0251737ef3824c54027bedb8c37c38114488b8e131cf8219 \ - --hash=sha256:17ef139237dfced9da49fb7f2232c86ca9421f666d78c264c7ffca6601d154c3 \ - --hash=sha256:1a0bb430adb19ef49389e1ad368450193a90038b5b752f4ac089ec6942c4dff4 \ - --hash=sha256:1db5d7ae38ff20153d542460752ff397fcf5c96090c1230803713cf3147a6803 \ - --hash=sha256:28475ddbde92df1874b6c5c8aaeb24ad5be47a11f87cde5a28ef3835932e3e94 \ - --hash=sha256:2edc3553362b1c38d9f06242416a5d8e9fe235c204a4072e988ce2e5bb1f69f6 \ - --hash=sha256:30f7da3fb3f2844259cba4720c3fc7138eb0f7b659c38f3bfa65084c7fc7abce \ - --hash=sha256:311ff15a0bae3714ffb603e6ba6dbfba4065ab60865d15a6ec544133bdb21099 \ - --hash=sha256:319b27255aacd9923b8a276bb14d21a5f7ff82564c744235fc5eae58d95422ae \ - --hash=sha256:35c53bd62a0b885bf653ebf6b700d1bf05debb78ad9292cf2a942b23513dc4c4 \ - --hash=sha256:36193ed342f5b9842edd3532729a2ad55c4160ffcfa3700e0d54be496b70dd43 \ - --hash=sha256:39574d6370c4579d7f5d0ad940ce5b20db0e4117444e39b6d8f99db5676c52fd \ - --hash=sha256:399600947b170270e80134ac854e21b3ccdefa11a9529a3decc1327088180f10 \ - --hash=sha256:3a476189be23c3686bc2f4321dd501cb329c0a0469e77b7b534ee10129ae6374 \ - --hash=sha256:3ad9fe1dae4ab4212d8c91e80b832425e24f421703b5a42ef2e4a1e215aff051 \ - --hash=sha256:3bc570d6c01c206c46deb6e935a260be44f186a2f05179f52f7fcd2be086a94d \ - --hash=sha256:3dbd8cbadd46984f802f6d479b7e3afa86c42d13e8f0f322d669d79722c8ec34 \ - --hash=sha256:3e6f39af2eab0118338902798b5aa6664f46ff66bc0280de76fca67a7f262a49 \ - --hash=sha256:3f53fa183d53a1d7a8852277c92b967ae99c2d4dcee2bfacff8868e6e30b15f7 \ - --hash=sha256:3f6d37644155fb5beca5378feb8c1708d5783145f2a0f1c4d5a061a210254844 \ - --hash=sha256:3f7eb7da0eb23aa2ba036d4f616d46906013a68caf61b7fdbe42fc8b25132e77 \ - --hash=sha256:3fa0b59c92278b5a7800d3ee7733da9d096d4aabcfabb9a928918bd276ef9b9b \ - --hash=sha256:421e29339983e1bebc281fab40d812742268ad057db4aee8c4d2bce0af43b741 \ - --hash=sha256:4b943d3668d61cfa528eb949577479d3b077fd25fb83c641235437bc0b5bc60e \ - --hash=sha256:526e86aced14a65a5b0ec50827c745597c782ff46b571dbfe46192ab9e0b3c33 \ - --hash=sha256:52e06553899e11e8074503c8e716d574adeeb7e68913115c4b3653c53f9bae42 \ - --hash=sha256:544364b2b51a9b0c7000a4b4b02f90e9423d97fbbf7e06689236443ebcad81ab \ - --hash=sha256:5524298e3827105b61951a29c3512deb9578586abf3a7c5da4a8069df247cccc \ - --hash=sha256:55c7475190662e202c08c6c0f4d9e345a29367438cf8e8037f3155e10a88d5a5 \ - --hash=sha256:563b116874a9a7ce6f96f87cd0b94f7faf92d08d0021e837796f0a14318ef8da \ - --hash=sha256:57ca5281a8b5e27593cb7d82c2ac927ad88a96ed406aa446f6344e4328208e9e \ - --hash=sha256:5c85794a4cfa094714fb9c08d4a218375b2b95b8ed1666e8677c349906246c05 \ - 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--hash=sha256:e53a384f76b631c3ae5334ce6a52f0baa3a911eb94a4eac7f160079868b716d5 \ + --hash=sha256:eb283ee99e21ad6443c8cdb06ac5b34b1308c329cbdf03fa02b445363714c799 \ + --hash=sha256:eb72919d93e3a16fc451d3aa3d4b1698423daca1b382d3d959c9ac51297c12a8 \ + --hash=sha256:ecb47f183a8025b2aa18b546725c3657e542112ae9c0613a2af79b4fa8d04ad7 \ + --hash=sha256:f155b3a1b2a5fc89cdc70d47ee5d54e3b75e88efa34982028a35daef9ba00379 \ + --hash=sha256:f22943b7770483f6ea0721c6b11d022947a98eb0acae14694de034f4d0d38925 \ + --hash=sha256:f28b2725eb8cce327b9b3ab02415c853011dc55c95832fe90de6bc56f5315f72 \ + --hash=sha256:f88af53d6ddaf72179ef613ddc905e6f4785f712b49b80b3bef9f3525e6194b4 \ + --hash=sha256:faea288b6f0ab1902ef08f4ca6de005dccf856c4e0c4f21b8c5fce02d90a1b08 \ + --hash=sha256:fff610d7bb2256a317bb1e96f0d7862c7aa8076733ee5df0fd41bbe76a24a4f4 # via uvicorn websocket-client==1.9.0 \ --hash=sha256:9e813624b6eb619999a97dc7958469217c3176312b3a16a4bd1bc7e08a46ec98 \ @@ -3341,7 +3341,7 @@ yarl==1.23.0 \ --hash=sha256:fe8f8f5e70e6dbdfca9882cd9deaac058729bcf323cf7a58660901e55c9c94f6 \ --hash=sha256:fffc45637bcd6538de8b85f51e3df3223e4ad89bccbfca0481c08c7fc8b7ed7d # via aiohttp -zipp==3.23.1 \ - --hash=sha256:0b3596c50a5c700c9cb40ba8d86d9f2cc4807e9bedb06bcdf7fac85633e444dc \ - --hash=sha256:32120e378d32cd9714ad503c1d024619063ec28aad2248dc6672ad13edfa5110 +zipp==4.1.0 \ + --hash=sha256:25ad4e16390cd314347dd8f1de67a2ac538ae658ed4ab9db16029c07c188e97f \ + --hash=sha256:4cb57381f544315db7688e976e922a2b18cdb513d21cc194eb42232ba2a3e602 # via importlib-metadata diff --git a/sdk/python/requirements/py3.10-minimal-sdist-requirements-build.txt b/sdk/python/requirements/py3.10-minimal-sdist-requirements-build.txt index 52773857dcd..739df33ddc0 100644 --- a/sdk/python/requirements/py3.10-minimal-sdist-requirements-build.txt +++ b/sdk/python/requirements/py3.10-minimal-sdist-requirements-build.txt @@ -4,38 +4,40 @@ # # pybuild-deps compile --generate-hashes --output-file=sdk/python/requirements/py3.10-minimal-sdist-requirements-build.txt sdk/python/requirements/py3.10-minimal-sdist-requirements.txt # -ast-serialize==0.4.0 \ - --hash=sha256:074032142777e3e6091977dc3c5146a8ca58ae6825b7f64e9a0b604153ddabd8 \ - --hash=sha256:1026f565a7ab846337c630909089b3346a2fe417bf1552b1581ab01852137407 \ - --hash=sha256:1c5245228e65d38cb48e1251f0ca71b0fa417e527141491e8c92f740e8e2d121 \ - --hash=sha256:1e1fb90def261f6a0db885876f7e1a49ad2dbac38ad9f2f62dba2f9543af16e7 \ - --hash=sha256:3bdde2c4570143791f636aed4e3ef868f5b46eb90a18f8d5c41dd045aab08bef \ - --hash=sha256:404f3462b4532e13a70b8849bba241dbd82e30043ff58d98c7e762fd925b116a \ - --hash=sha256:43729a5e369ebbe7750635c0c206bc616fcd36e703cb9c4497d6b4df0291ee64 \ - --hash=sha256:4738790cf54d8b416de992b87ee567056980bc82134d52458bd4985f389d1658 \ - --hash=sha256:4db9769d57deb5545ce56ebbbbe3436dcc0ae2688ce14c295cd14e106624ece7 \ - --hash=sha256:6551d55b8607b97a7755683d743200b398c61a0b71a11b7f00c89c335a11d0f4 \ - --hash=sha256:6615b39cd747967c3aabe68bf3f5f26748e823cc6b474ddc1510ed188a824149 \ - --hash=sha256:70d9c5d527bbfa69bd3c7d17dac11fb6781e36186a434a06d7d5892e0b2f88f9 \ - --hash=sha256:7234ff086cb152ea2a3b7ef895b5ebeb6d80779df049d5c6431c8e3536d5b03c \ - --hash=sha256:732b4ef76adcb0f298a7d18c4558336d83b1384f9ae0c7eaa1dc8d031b0a4390 \ - --hash=sha256:74e4e634ab82d1466acf0be27043178570b98ebeaa3165f9240a6fad4c286471 \ - --hash=sha256:79c8d015c771c8bfdb1208003b227b27c40034790a2c29c09f2317a041825ce2 \ - --hash=sha256:7fba7315fd4bd87cb5560792709f6e66e0606402d362c0a38dd32dfb66ba6066 \ - --hash=sha256:8f5153e9c44a02e61f4042c5f9249d2e8a759773d621a0b2f445a899e536e181 \ - --hash=sha256:905fc11940831454d93589bd7ce2acb6a5eb01c2936156f751d2a21087c98cd3 \ - --hash=sha256:90fc5c0d35a22f1a92dd33635508626d50f8fc64deb897c23e78e666a60804c9 \ - --hash=sha256:91362c0a9fdf1c344b7f50a5b0508b11a0732102998fbd754a191f7187e77031 \ - --hash=sha256:91d3786f3929786cdc4eeedfd110abb4603e7f6c1390c5af398f333a947b742d \ - --hash=sha256:97c55336e16f5c4ca2bde7be94cca4b8f7d665d64f7008925a82e02707ba14ac \ - --hash=sha256:9ecd6a1fc1b86f1f4e8ae206759b6319c10019706b3496b01b54d02b9b2cd918 \ - --hash=sha256:a6f26937ce0293aafbece0e39019e020369a5a70486ff4088227f0cc888844a9 \ - --hash=sha256:b3db87c4772097c0782250bcd550d66b1189a8c889793c7bcf153f4fee70005c \ - --hash=sha256:bd50d201098aae0d202805fe9606c0545492f69a3ec4403337e32c54ad29fc41 \ - --hash=sha256:cf2ff7b654c8e95143e20f5d75878cbb78b65b928b26c4d58ef71cdba9d6d981 \ - --hash=sha256:dcd04f85a29deb80400e8987cfaceb9907140f763453cbffdbd6ff36f1b32c12 \ - --hash=sha256:dcded5056d9f3d201df7833082c07ebcbc566ffc3d4105c9fc9fe278fa086ecb \ - --hash=sha256:faa008dccfcb793ae9101325e4d6d026caaa5d845c2182f03749c759834b0a3a +ast-serialize==0.5.0 \ + --hash=sha256:061ee58bdb52341c8201a6df41182a977736bae3b7ded87ca7176ca25a8a47ab \ + --hash=sha256:0668aa9459cfa8c9c49ddd2163ebcf43088ba045ef7492af6fe22e0098303101 \ + --hash=sha256:104e4a35bd7c124173c41760ef9aaea17ddb3f86c65cb643671d59afbe3ee94c \ + --hash=sha256:143a4ef63285a075871908fda3672dc21864b83a8ec3ee12304aa3e4c5387b9a \ + --hash=sha256:16db7c62ec0b8efe1d7afd283a388d8f74f2605d56032e5a37747d2de8dba027 \ + --hash=sha256:1943db345233cc7194a470f13afa9c59772c0b123dea0c9414c4d4ca54369759 \ + --hash=sha256:239a4c354e8d676e9d94631d1d4a64edc6b266f86ff3a5a80aedd344f342c01d \ + --hash=sha256:2782c36237c46dd1674542f2109740ea5ea485a169bf1431939ada0434e17934 \ + --hash=sha256:27d51654fc240a1e87e742d353d98eb45b75f62f129086b3596ab53df2ac2a43 \ + --hash=sha256:36be371028fc1675acb38a331bde160dbab7ff907fdf00b67eb6911aa106951b \ + --hash=sha256:5499e8797edff2a9186aa313ed382c6b422e798e9332d9953badcee6e69a88f2 \ + --hash=sha256:5880091bfe6f4f986f22866375c2e884843e7a0b6343ae41aeea659613d879b6 \ + --hash=sha256:6848f2a093fb5548751a9a09bff8fcd229e2bbeb0e3331f391b6ae6d26cd9903 \ + --hash=sha256:787baedb0262cc49e8ce37cc15c00ae818e46a165a3b36f5e21ed174998104cb \ + --hash=sha256:7d1a2de9de5be04652f0ed60738356ef94f66db37924a9499fffe98dc491aa0b \ + --hash=sha256:832d4c998e0b091fd60a6d6bceee535483c4d490de9ba85003af835225719261 \ + --hash=sha256:842d1c004bb466c7df036f95fabef789570541922b10976b12f5592a69cf0b38 \ + --hash=sha256:8f5c14f169eb0972c0c21bada5358b23d6047c76583b005234f865b11f1fa00a \ + --hash=sha256:92a31c9c20d25a076edaeec76b128a3535d74a24f340b9a8a7e96c9b86dc9642 \ + --hash=sha256:9cc22cf0c9be65e71cf88fda130af60d61eb4a79370ad4cfe7900d48a4aa2211 \ + --hash=sha256:b0c06d760909b095cc466356dfccd05a1c7233a6ca191c020dca2c6a6f16c24c \ + --hash=sha256:b15219e9cdc9f53f6f4cb51c009203507228226148c05c5e8fe451c28b435eb3 \ + --hash=sha256:b54f60c1d78767a53b67eaa663f0dfac3afe606aa07f1301572f588b73d64809 \ + --hash=sha256:b725026bafa801dbd7310eb13a75f0a2e370e7e51b2cb225f9d21fcfadf919ee \ + --hash=sha256:baf5eb061eb5bccade4128ad42da33787d72f6013809cd1b590376ece8b3c937 \ + --hash=sha256:be5173fb66f9b49026d9d5a2ff0fc7c7009077107c0eb285b2d60fdf1fe10bd1 \ + --hash=sha256:bf683d6363edf2b39eed6b6d4fe22d34b6203867a67e27134d9e2a2680c4bc4a \ + --hash=sha256:cae65289fc456fde04af979a2be09302ef5d8ab92ef23e596d6746dc267ada27 \ + --hash=sha256:cf25572c526add400f26a4750dc6ce0c3bb93fc1f75e7ae0cad4ce4f2cd5c590 \ + --hash=sha256:df1c00022cbbcb064bfaa505aa9c9295362443ce5dacb459d1331d3da353f887 \ + --hash=sha256:e42d729ef2be96a14efbad355093284739e3670ece3e534f82cc8832790911d9 \ + --hash=sha256:f66173891548c9f2726bf27957b41cabce12fa679dc6da505ddbde4d4b3b31cf \ + --hash=sha256:f8015cd071ac1339924ee2b8098c93e00e155f30a16f40ec9816fcf84f4753f6 # via mypy calver==2025.3.31 \ --hash=sha256:07511edf5e7fa75ae97445c8c5921240e0fe62937289a3ebe6963eddd3c691b6 \ @@ -860,9 +862,9 @@ semantic-version==2.10.0 \ --hash=sha256:bdabb6d336998cbb378d4b9db3a4b56a1e3235701dc05ea2690d9a997ed5041c \ --hash=sha256:de78a3b8e0feda74cabc54aab2da702113e33ac9d9eb9d2389bcf1f58b7d9177 # via setuptools-rust -setuptools-git-versioning==3.0.1 \ - --hash=sha256:737c4d17e848edd46e28764a19dc424d8537fcb2257022e5f4f5c0c8e9b64c80 \ - --hash=sha256:c8a599bacf163b5d215552b5701faf5480ffc4d65426a5711a010b802e1590eb +setuptools-git-versioning==3.1.0 \ + --hash=sha256:3a68f3fd58a2a5e86b0792435cfa9d8e569ab60ee5e4c29228c09da9b637bf18 \ + --hash=sha256:612dfcf184addac9e1c2216f4f229724b2390e5bf613fb925ae80b84f2529172 # via toolz setuptools-rust==1.12.1 \ --hash=sha256:85ae70989d96c9cfeb5ef79cf3bac2d5200bc5564f720a06edceedbdf6664640 \ @@ -980,9 +982,9 @@ types-psutil==7.0.0.20250218 \ --hash=sha256:1447a30c282aafefcf8941ece854e1100eee7b0296a9d9be9977292f0269b121 \ --hash=sha256:1e642cdafe837b240295b23b1cbd4691d80b08a07d29932143cbbae30eb0db9c # via mypy -types-setuptools==82.0.0.20260508 \ - --hash=sha256:ba1d863bbd11526d7232bca8d5a4aebe1d38fa1677a550f47a2692b7d5776900 \ - --hash=sha256:e76ade6f42ba9b4211636b84b65a8e55948a67ffe81f9a44e66b8af93d57e77e +types-setuptools==82.0.0.20260518 \ + --hash=sha256:31c04a62b57a653a5021caf191be0f10f70df890f813b51f02bab3969d300f20 \ + --hash=sha256:3b743cfe63d0981ea4c15b90710fc1ed41e3464a537d51e705be514e891c1d07 # via mypy typing-extensions==4.15.0 \ --hash=sha256:0cea48d173cc12fa28ecabc3b837ea3cf6f38c6d1136f85cbaaf598984861466 \ diff --git a/sdk/python/requirements/py3.10-minimal-sdist-requirements.txt b/sdk/python/requirements/py3.10-minimal-sdist-requirements.txt index a998ead874d..ac0e59b5df0 100644 --- a/sdk/python/requirements/py3.10-minimal-sdist-requirements.txt +++ b/sdk/python/requirements/py3.10-minimal-sdist-requirements.txt @@ -165,38 +165,40 @@ asn1crypto==1.5.1 \ --hash=sha256:13ae38502be632115abf8a24cbe5f4da52e3b5231990aff31123c805306ccb9c \ --hash=sha256:db4e40728b728508912cbb3d44f19ce188f218e9eba635821bb4b68564f8fd67 # via snowflake-connector-python -ast-serialize==0.4.0 \ - --hash=sha256:074032142777e3e6091977dc3c5146a8ca58ae6825b7f64e9a0b604153ddabd8 \ - --hash=sha256:1026f565a7ab846337c630909089b3346a2fe417bf1552b1581ab01852137407 \ - --hash=sha256:1c5245228e65d38cb48e1251f0ca71b0fa417e527141491e8c92f740e8e2d121 \ - --hash=sha256:1e1fb90def261f6a0db885876f7e1a49ad2dbac38ad9f2f62dba2f9543af16e7 \ - --hash=sha256:3bdde2c4570143791f636aed4e3ef868f5b46eb90a18f8d5c41dd045aab08bef \ - --hash=sha256:404f3462b4532e13a70b8849bba241dbd82e30043ff58d98c7e762fd925b116a \ - --hash=sha256:43729a5e369ebbe7750635c0c206bc616fcd36e703cb9c4497d6b4df0291ee64 \ - --hash=sha256:4738790cf54d8b416de992b87ee567056980bc82134d52458bd4985f389d1658 \ - --hash=sha256:4db9769d57deb5545ce56ebbbbe3436dcc0ae2688ce14c295cd14e106624ece7 \ - --hash=sha256:6551d55b8607b97a7755683d743200b398c61a0b71a11b7f00c89c335a11d0f4 \ - --hash=sha256:6615b39cd747967c3aabe68bf3f5f26748e823cc6b474ddc1510ed188a824149 \ - --hash=sha256:70d9c5d527bbfa69bd3c7d17dac11fb6781e36186a434a06d7d5892e0b2f88f9 \ - --hash=sha256:7234ff086cb152ea2a3b7ef895b5ebeb6d80779df049d5c6431c8e3536d5b03c \ - --hash=sha256:732b4ef76adcb0f298a7d18c4558336d83b1384f9ae0c7eaa1dc8d031b0a4390 \ - --hash=sha256:74e4e634ab82d1466acf0be27043178570b98ebeaa3165f9240a6fad4c286471 \ - --hash=sha256:79c8d015c771c8bfdb1208003b227b27c40034790a2c29c09f2317a041825ce2 \ - --hash=sha256:7fba7315fd4bd87cb5560792709f6e66e0606402d362c0a38dd32dfb66ba6066 \ - --hash=sha256:8f5153e9c44a02e61f4042c5f9249d2e8a759773d621a0b2f445a899e536e181 \ - --hash=sha256:905fc11940831454d93589bd7ce2acb6a5eb01c2936156f751d2a21087c98cd3 \ - --hash=sha256:90fc5c0d35a22f1a92dd33635508626d50f8fc64deb897c23e78e666a60804c9 \ - --hash=sha256:91362c0a9fdf1c344b7f50a5b0508b11a0732102998fbd754a191f7187e77031 \ - --hash=sha256:91d3786f3929786cdc4eeedfd110abb4603e7f6c1390c5af398f333a947b742d \ - --hash=sha256:97c55336e16f5c4ca2bde7be94cca4b8f7d665d64f7008925a82e02707ba14ac \ - --hash=sha256:9ecd6a1fc1b86f1f4e8ae206759b6319c10019706b3496b01b54d02b9b2cd918 \ - --hash=sha256:a6f26937ce0293aafbece0e39019e020369a5a70486ff4088227f0cc888844a9 \ - --hash=sha256:b3db87c4772097c0782250bcd550d66b1189a8c889793c7bcf153f4fee70005c \ - --hash=sha256:bd50d201098aae0d202805fe9606c0545492f69a3ec4403337e32c54ad29fc41 \ - --hash=sha256:cf2ff7b654c8e95143e20f5d75878cbb78b65b928b26c4d58ef71cdba9d6d981 \ - --hash=sha256:dcd04f85a29deb80400e8987cfaceb9907140f763453cbffdbd6ff36f1b32c12 \ - --hash=sha256:dcded5056d9f3d201df7833082c07ebcbc566ffc3d4105c9fc9fe278fa086ecb \ - --hash=sha256:faa008dccfcb793ae9101325e4d6d026caaa5d845c2182f03749c759834b0a3a +ast-serialize==0.5.0 \ + --hash=sha256:061ee58bdb52341c8201a6df41182a977736bae3b7ded87ca7176ca25a8a47ab \ + --hash=sha256:0668aa9459cfa8c9c49ddd2163ebcf43088ba045ef7492af6fe22e0098303101 \ + --hash=sha256:104e4a35bd7c124173c41760ef9aaea17ddb3f86c65cb643671d59afbe3ee94c \ + --hash=sha256:143a4ef63285a075871908fda3672dc21864b83a8ec3ee12304aa3e4c5387b9a \ + --hash=sha256:16db7c62ec0b8efe1d7afd283a388d8f74f2605d56032e5a37747d2de8dba027 \ + --hash=sha256:1943db345233cc7194a470f13afa9c59772c0b123dea0c9414c4d4ca54369759 \ + --hash=sha256:239a4c354e8d676e9d94631d1d4a64edc6b266f86ff3a5a80aedd344f342c01d \ + --hash=sha256:2782c36237c46dd1674542f2109740ea5ea485a169bf1431939ada0434e17934 \ + --hash=sha256:27d51654fc240a1e87e742d353d98eb45b75f62f129086b3596ab53df2ac2a43 \ + --hash=sha256:36be371028fc1675acb38a331bde160dbab7ff907fdf00b67eb6911aa106951b \ + --hash=sha256:5499e8797edff2a9186aa313ed382c6b422e798e9332d9953badcee6e69a88f2 \ + --hash=sha256:5880091bfe6f4f986f22866375c2e884843e7a0b6343ae41aeea659613d879b6 \ + --hash=sha256:6848f2a093fb5548751a9a09bff8fcd229e2bbeb0e3331f391b6ae6d26cd9903 \ + --hash=sha256:787baedb0262cc49e8ce37cc15c00ae818e46a165a3b36f5e21ed174998104cb \ + --hash=sha256:7d1a2de9de5be04652f0ed60738356ef94f66db37924a9499fffe98dc491aa0b \ + --hash=sha256:832d4c998e0b091fd60a6d6bceee535483c4d490de9ba85003af835225719261 \ + --hash=sha256:842d1c004bb466c7df036f95fabef789570541922b10976b12f5592a69cf0b38 \ + --hash=sha256:8f5c14f169eb0972c0c21bada5358b23d6047c76583b005234f865b11f1fa00a \ + --hash=sha256:92a31c9c20d25a076edaeec76b128a3535d74a24f340b9a8a7e96c9b86dc9642 \ + --hash=sha256:9cc22cf0c9be65e71cf88fda130af60d61eb4a79370ad4cfe7900d48a4aa2211 \ + --hash=sha256:b0c06d760909b095cc466356dfccd05a1c7233a6ca191c020dca2c6a6f16c24c \ + --hash=sha256:b15219e9cdc9f53f6f4cb51c009203507228226148c05c5e8fe451c28b435eb3 \ + --hash=sha256:b54f60c1d78767a53b67eaa663f0dfac3afe606aa07f1301572f588b73d64809 \ + --hash=sha256:b725026bafa801dbd7310eb13a75f0a2e370e7e51b2cb225f9d21fcfadf919ee \ + --hash=sha256:baf5eb061eb5bccade4128ad42da33787d72f6013809cd1b590376ece8b3c937 \ + --hash=sha256:be5173fb66f9b49026d9d5a2ff0fc7c7009077107c0eb285b2d60fdf1fe10bd1 \ + --hash=sha256:bf683d6363edf2b39eed6b6d4fe22d34b6203867a67e27134d9e2a2680c4bc4a \ + --hash=sha256:cae65289fc456fde04af979a2be09302ef5d8ab92ef23e596d6746dc267ada27 \ + --hash=sha256:cf25572c526add400f26a4750dc6ce0c3bb93fc1f75e7ae0cad4ce4f2cd5c590 \ + --hash=sha256:df1c00022cbbcb064bfaa505aa9c9295362443ce5dacb459d1331d3da353f887 \ + --hash=sha256:e42d729ef2be96a14efbad355093284739e3670ece3e534f82cc8832790911d9 \ + --hash=sha256:f66173891548c9f2726bf27957b41cabce12fa679dc6da505ddbde4d4b3b31cf \ + --hash=sha256:f8015cd071ac1339924ee2b8098c93e00e155f30a16f40ec9816fcf84f4753f6 # via mypy async-timeout==5.0.1 \ --hash=sha256:39e3809566ff85354557ec2398b55e096c8364bacac9405a7a1fa429e77fe76c \ @@ -471,9 +473,9 @@ charset-normalizer==3.4.7 \ # via # requests # snowflake-connector-python -click==8.3.3 \ - --hash=sha256:398329ad4837b2ff7cbe1dd166a4c0f8900c3ca3a218de04466f38f6497f18a2 \ - --hash=sha256:a2bf429bb3033c89fa4936ffb35d5cb471e3719e1f3c8a7c3fff0b8314305613 +click==8.4.0 \ + --hash=sha256:40c50b7c6c6adac2823d411041ec84f3f103f1b280d5e9ce0d7f998995832f81 \ + --hash=sha256:638f1338fe1235c8f4e008e4a8a254fb5c5fbdcbb40ece3c9142ebb78e792973 # via # feast (pyproject.toml) # dask @@ -843,9 +845,9 @@ google-api-core[grpc]==2.30.3 \ # google-cloud-datastore # google-cloud-storage # pandas-gbq -google-auth==2.52.0 \ - --hash=sha256:01f30e1a9e3638698d89464f5e603ce29d18e1c0e63ec31ac570aba4e164aaf5 \ - --hash=sha256:aee92803ba0ff93a70a3b8a35c7b4797837751cd6380b63ff38372b98f3ed627 +google-auth==2.53.0 \ + --hash=sha256:6e7449917c599b35126a99ec268ec6880301f2fea41dce198fe8fd83ff642b68 \ + --hash=sha256:e7e6aa16f6bee7b2b264830fd04f08087a1d5a836df516251a5d15327b246c9c # via # google-api-core # google-auth-oauthlib @@ -2499,9 +2501,9 @@ python-dotenv==1.2.2 \ # pydantic-settings # pymilvus # uvicorn -python-multipart==0.0.28 \ - --hash=sha256:10faac07eb966c3f48dc415f9dee46c04cb10d58d30a35677db8027c825ed9b6 \ - --hash=sha256:8550da197eac0f7ab748961fc9509b999fa2662ea25cef857f05249f6893c0f8 +python-multipart==0.0.29 \ + --hash=sha256:2ddcc971cef266225f54f552d8fa10bcfbb1f14446caec199060daac59ff2d69 \ + --hash=sha256:643e93849196645e2dbdd81a0f8829a23123ad7f797a84a364c6fb3563f18904 # via mcp pytz==2026.2 \ --hash=sha256:04156e608bee23d3792fd45c94ae47fae1036688e75032eea2e3bf0323d1f126 \ @@ -3020,9 +3022,9 @@ types-psutil==7.0.0.20250218 \ --hash=sha256:1447a30c282aafefcf8941ece854e1100eee7b0296a9d9be9977292f0269b121 \ --hash=sha256:1e642cdafe837b240295b23b1cbd4691d80b08a07d29932143cbbae30eb0db9c # via feast (pyproject.toml) -types-pymysql==1.1.0.20260508 \ - --hash=sha256:49abf0c2f8d944384834544a8f25ea1b25018c3d815f7ec676f73d0b7fe0731c \ - --hash=sha256:a726e6f867e0a1027a297c89d7646e4d52b7db6ccd11b2a40780120257610c78 +types-pymysql==1.1.0.20260518 \ + --hash=sha256:39a2448c4267dc4551e0824d2bfaecf7dfd171e89e6dbba90f4d4d45d55e4342 \ + --hash=sha256:cf697ce4e44124fc859e8e8a7f047c1dc864745c3c628b85a51b3ee01502ef98 # via feast (pyproject.toml) typing-extensions==4.15.0 \ --hash=sha256:0cea48d173cc12fa28ecabc3b837ea3cf6f38c6d1136f85cbaaf598984861466 \ @@ -3219,116 +3221,114 @@ vcs-versioning==1.1.1 \ --hash=sha256:b541e2ba79fc6aaa3850f8a7f88af43d97c1c80649c01142ee4146eddbc599e4 \ --hash=sha256:fabd75a3cab7dd8ac02fe24a3a9ba936bf258667b5a62ed468c9a1da0f5775bc # via setuptools-scm -watchfiles==1.1.1 \ - --hash=sha256:00485f441d183717038ed2e887a7c868154f216877653121068107b227a2f64c \ - --hash=sha256:03fa0f5237118a0c5e496185cafa92878568b652a2e9a9382a5151b1a0380a43 \ - --hash=sha256:04e78dd0b6352db95507fd8cb46f39d185cf8c74e4cf1e4fbad1d3df96faf510 \ - --hash=sha256:059098c3a429f62fc98e8ec62b982230ef2c8df68c79e826e37b895bc359a9c0 \ - --hash=sha256:08af70fd77eee58549cd69c25055dc344f918d992ff626068242259f98d598a2 \ - --hash=sha256:0b495de0bb386df6a12b18335a0285dda90260f51bdb505503c02bcd1ce27a8b \ - --hash=sha256:130e4876309e8686a5e37dba7d5e9bc77e6ed908266996ca26572437a5271e18 \ - --hash=sha256:14e0b1fe858430fc0251737ef3824c54027bedb8c37c38114488b8e131cf8219 \ - --hash=sha256:17ef139237dfced9da49fb7f2232c86ca9421f666d78c264c7ffca6601d154c3 \ - --hash=sha256:1a0bb430adb19ef49389e1ad368450193a90038b5b752f4ac089ec6942c4dff4 \ - --hash=sha256:1db5d7ae38ff20153d542460752ff397fcf5c96090c1230803713cf3147a6803 \ - --hash=sha256:28475ddbde92df1874b6c5c8aaeb24ad5be47a11f87cde5a28ef3835932e3e94 \ - --hash=sha256:2edc3553362b1c38d9f06242416a5d8e9fe235c204a4072e988ce2e5bb1f69f6 \ - --hash=sha256:30f7da3fb3f2844259cba4720c3fc7138eb0f7b659c38f3bfa65084c7fc7abce \ - --hash=sha256:311ff15a0bae3714ffb603e6ba6dbfba4065ab60865d15a6ec544133bdb21099 \ - --hash=sha256:319b27255aacd9923b8a276bb14d21a5f7ff82564c744235fc5eae58d95422ae \ - --hash=sha256:35c53bd62a0b885bf653ebf6b700d1bf05debb78ad9292cf2a942b23513dc4c4 \ - --hash=sha256:36193ed342f5b9842edd3532729a2ad55c4160ffcfa3700e0d54be496b70dd43 \ - --hash=sha256:39574d6370c4579d7f5d0ad940ce5b20db0e4117444e39b6d8f99db5676c52fd \ - --hash=sha256:399600947b170270e80134ac854e21b3ccdefa11a9529a3decc1327088180f10 \ - --hash=sha256:3a476189be23c3686bc2f4321dd501cb329c0a0469e77b7b534ee10129ae6374 \ - --hash=sha256:3ad9fe1dae4ab4212d8c91e80b832425e24f421703b5a42ef2e4a1e215aff051 \ - --hash=sha256:3bc570d6c01c206c46deb6e935a260be44f186a2f05179f52f7fcd2be086a94d \ - --hash=sha256:3dbd8cbadd46984f802f6d479b7e3afa86c42d13e8f0f322d669d79722c8ec34 \ - --hash=sha256:3e6f39af2eab0118338902798b5aa6664f46ff66bc0280de76fca67a7f262a49 \ - --hash=sha256:3f53fa183d53a1d7a8852277c92b967ae99c2d4dcee2bfacff8868e6e30b15f7 \ - --hash=sha256:3f6d37644155fb5beca5378feb8c1708d5783145f2a0f1c4d5a061a210254844 \ - --hash=sha256:3f7eb7da0eb23aa2ba036d4f616d46906013a68caf61b7fdbe42fc8b25132e77 \ - --hash=sha256:3fa0b59c92278b5a7800d3ee7733da9d096d4aabcfabb9a928918bd276ef9b9b \ - --hash=sha256:421e29339983e1bebc281fab40d812742268ad057db4aee8c4d2bce0af43b741 \ - --hash=sha256:4b943d3668d61cfa528eb949577479d3b077fd25fb83c641235437bc0b5bc60e \ - --hash=sha256:526e86aced14a65a5b0ec50827c745597c782ff46b571dbfe46192ab9e0b3c33 \ - --hash=sha256:52e06553899e11e8074503c8e716d574adeeb7e68913115c4b3653c53f9bae42 \ - --hash=sha256:544364b2b51a9b0c7000a4b4b02f90e9423d97fbbf7e06689236443ebcad81ab \ - --hash=sha256:5524298e3827105b61951a29c3512deb9578586abf3a7c5da4a8069df247cccc \ - --hash=sha256:55c7475190662e202c08c6c0f4d9e345a29367438cf8e8037f3155e10a88d5a5 \ - --hash=sha256:563b116874a9a7ce6f96f87cd0b94f7faf92d08d0021e837796f0a14318ef8da \ - --hash=sha256:57ca5281a8b5e27593cb7d82c2ac927ad88a96ed406aa446f6344e4328208e9e \ - --hash=sha256:5c85794a4cfa094714fb9c08d4a218375b2b95b8ed1666e8677c349906246c05 \ - --hash=sha256:5f3bde70f157f84ece3765b42b4a52c6ac1a50334903c6eaf765362f6ccca88a \ - --hash=sha256:5f3f58818dc0b07f7d9aa7fe9eb1037aecb9700e63e1f6acfed13e9fef648f5d \ - --hash=sha256:5fac835b4ab3c6487b5dbad78c4b3724e26bcc468e886f8ba8cc4306f68f6701 \ - --hash=sha256:620bae625f4cb18427b1bb1a2d9426dc0dd5a5ba74c7c2cdb9de405f7b129863 \ - --hash=sha256:672b8adf25b1a0d35c96b5888b7b18699d27d4194bac8beeae75be4b7a3fc9b2 \ - --hash=sha256:6aae418a8b323732fa89721d86f39ec8f092fc2af67f4217a2b07fd3e93c6101 \ - --hash=sha256:6c3631058c37e4a0ec440bf583bc53cdbd13e5661bb6f465bc1d88ee9a0a4d02 \ - 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--hash=sha256:859e43a1951717cc8de7f4c77674a6d389b106361585951d9e69572823f311d9 \ - --hash=sha256:88863fbbc1a7312972f1c511f202eb30866370ebb8493aef2812b9ff28156a21 \ - --hash=sha256:89eef07eee5e9d1fda06e38822ad167a044153457e6fd997f8a858ab7564a336 \ - --hash=sha256:8c89f9f2f740a6b7dcc753140dd5e1ab9215966f7a3530d0c0705c83b401bd7d \ - --hash=sha256:8c91ed27800188c2ae96d16e3149f199d62f86c7af5f5f4d2c61a3ed8cd3666c \ - --hash=sha256:8ca65483439f9c791897f7db49202301deb6e15fe9f8fe2fed555bf986d10c31 \ - --hash=sha256:8fbe85cb3201c7d380d3d0b90e63d520f15d6afe217165d7f98c9c649654db81 \ - --hash=sha256:91d4c9a823a8c987cce8fa2690923b069966dabb196dd8d137ea2cede885fde9 \ - --hash=sha256:9bb9f66367023ae783551042d31b1d7fd422e8289eedd91f26754a66f44d5cff \ - --hash=sha256:a173cb5c16c4f40ab19cecf48a534c409f7ea983ab8fed0741304a1c0a31b3f2 \ - --hash=sha256:a36d8efe0f290835fd0f33da35042a1bb5dc0e83cbc092dcf69bce442579e88e \ - --hash=sha256:a55f3e9e493158d7bfdb60a1165035f1cf7d320914e7b7ea83fe22c6023b58fc \ - 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--hash=sha256:b141a4891c995a039cd89e9a49e62df1dc8a559a5d1a6e4c7106d16c12777a55 \ + --hash=sha256:b4e77f6a55f858504069abd35d336a637555c09bca453dde1ee1e5ada8a6a1fb \ + --hash=sha256:b62f042afde2dde21ec1d2c1a74361e804673df86f51e418a999c9acfe671b07 \ + --hash=sha256:b718bf356bbc15e559bd8ef41782b573b8ae0e3f177ab244b440568d7ea02cfb \ + --hash=sha256:b8c8358484d5fa12ef34f05b7f4168eaf1932f408725ff6d023c33ec17bd79d4 \ + --hash=sha256:b974946a10af379d425e2eef5b62f5c6ebeaccf91d45eaad6f5b27ecd4f91aa0 \ + --hash=sha256:b9909cc2b48468b575eefa944919e1fe8a36c5849d5c7c168f80a8c1db69398e \ + --hash=sha256:b9f732dc58b2dbe69e464ccf8fff7a03b0dd0be439da4c0720d3558527d3d6b4 \ + --hash=sha256:bb68bf4df85abebe5efddc53cf2075520f243a59868d9b3973278b23e76962a9 \ + --hash=sha256:bb7e52ecf68ba46d22df23467b87cffeb2146908aa523ebfe803019618cfda06 \ + --hash=sha256:bc13eb17538be00c874699dc0abe4ee2bc8d50bb1166a6b9e175ef3fd7eb8f26 \ + --hash=sha256:c0db965c5f79aa49fe672d297cf1febc5ad149b658594944f49a54a2b96270a7 \ + --hash=sha256:c16cb06dd17d43b9d185094268459eac92c9538356f050e55b54e82cf700e1d4 \ + --hash=sha256:c525543d91961c6955b2636b308569e84a1d1c5f5f2932041ab9ef46422f43e3 \ + --hash=sha256:c5c19526f4e54a00f2666a6c0e9e40d582c09e865055ea7378bf0009aab857b3 \ + --hash=sha256:c995fba777f1ea992f090f9236e9284cf7a5d1a0130dd5a3d82c598cacd76838 \ + --hash=sha256:ca148d73dea36c9763aaa351e4d7a51780ec1584217c45276f4fe8239c768b71 \ + --hash=sha256:cee9d5efd929efdac5f7e58f72b3376f676b64050a91c5b99a7094c5b2317488 \ + --hash=sha256:d158cd89df6053823533e06fb1d73c549133bff5f0396170c0e53d9559340717 \ + --hash=sha256:d20029a60a71a052a24c4db7673bc4de39ab89adbaccbfb5d67987c5d73f424d \ + --hash=sha256:d413349d565dab74297f2a63e84a097936be69bf8f3b3801f27f380e32040f44 \ + --hash=sha256:d4a4b147f5dca2a5d325a06a832fb43f345751adfbc63204aec30e0d9ca965a2 \ + --hash=sha256:d516b3283a758e087841aedb8031549fb41ced08f3db10aa6d2bf32dc042525b \ + --hash=sha256:d73a585accffa5ae39c17264c36ec3166d2fad7000c780f5ef83b2722afb9dd2 \ + --hash=sha256:dbd6c97045dad81227c8d040173da044c1de08de64a5ea8b555da4aee1d5fa22 \ + --hash=sha256:e0618518f282c4ebff60f5e5b1247b6d91bb8b9f4476947563a1e74acc66f3c6 \ + --hash=sha256:e140ed30ebde76796b686e67c182cff10ea2fbab186fafd1560f74bb5a473a6e \ + --hash=sha256:e1cfd51e97e13ff3bd047c140764d277fc9b95b7cb5da59e46a47d167adab310 \ + --hash=sha256:e2ca07fa7d89195ec0865d3d285666286740bfa83d83e5cee204043a31ecc165 \ + --hash=sha256:e53a384f76b631c3ae5334ce6a52f0baa3a911eb94a4eac7f160079868b716d5 \ + --hash=sha256:eb283ee99e21ad6443c8cdb06ac5b34b1308c329cbdf03fa02b445363714c799 \ + --hash=sha256:eb72919d93e3a16fc451d3aa3d4b1698423daca1b382d3d959c9ac51297c12a8 \ + --hash=sha256:ecb47f183a8025b2aa18b546725c3657e542112ae9c0613a2af79b4fa8d04ad7 \ + --hash=sha256:f155b3a1b2a5fc89cdc70d47ee5d54e3b75e88efa34982028a35daef9ba00379 \ + --hash=sha256:f22943b7770483f6ea0721c6b11d022947a98eb0acae14694de034f4d0d38925 \ + --hash=sha256:f28b2725eb8cce327b9b3ab02415c853011dc55c95832fe90de6bc56f5315f72 \ + --hash=sha256:f88af53d6ddaf72179ef613ddc905e6f4785f712b49b80b3bef9f3525e6194b4 \ + --hash=sha256:faea288b6f0ab1902ef08f4ca6de005dccf856c4e0c4f21b8c5fce02d90a1b08 \ + --hash=sha256:fff610d7bb2256a317bb1e96f0d7862c7aa8076733ee5df0fd41bbe76a24a4f4 # via uvicorn websocket-client==1.9.0 \ --hash=sha256:9e813624b6eb619999a97dc7958469217c3176312b3a16a4bd1bc7e08a46ec98 \ @@ -3610,9 +3610,9 @@ yarl==1.23.0 \ --hash=sha256:fe8f8f5e70e6dbdfca9882cd9deaac058729bcf323cf7a58660901e55c9c94f6 \ --hash=sha256:fffc45637bcd6538de8b85f51e3df3223e4ad89bccbfca0481c08c7fc8b7ed7d # via aiohttp -zipp==3.23.1 \ - --hash=sha256:0b3596c50a5c700c9cb40ba8d86d9f2cc4807e9bedb06bcdf7fac85633e444dc \ - --hash=sha256:32120e378d32cd9714ad503c1d024619063ec28aad2248dc6672ad13edfa5110 +zipp==4.1.0 \ + --hash=sha256:25ad4e16390cd314347dd8f1de67a2ac538ae658ed4ab9db16029c07c188e97f \ + --hash=sha256:4cb57381f544315db7688e976e922a2b18cdb513d21cc194eb42232ba2a3e602 # via importlib-metadata # The following packages were excluded from the output: diff --git a/sdk/python/requirements/py3.10-requirements.txt b/sdk/python/requirements/py3.10-requirements.txt index d487d7d9ec1..905007c5cd3 100644 --- a/sdk/python/requirements/py3.10-requirements.txt +++ b/sdk/python/requirements/py3.10-requirements.txt @@ -14,38 +14,40 @@ anyio==4.13.0 \ # via # starlette # watchfiles -ast-serialize==0.4.0 \ - --hash=sha256:074032142777e3e6091977dc3c5146a8ca58ae6825b7f64e9a0b604153ddabd8 \ - --hash=sha256:1026f565a7ab846337c630909089b3346a2fe417bf1552b1581ab01852137407 \ - --hash=sha256:1c5245228e65d38cb48e1251f0ca71b0fa417e527141491e8c92f740e8e2d121 \ - --hash=sha256:1e1fb90def261f6a0db885876f7e1a49ad2dbac38ad9f2f62dba2f9543af16e7 \ - --hash=sha256:3bdde2c4570143791f636aed4e3ef868f5b46eb90a18f8d5c41dd045aab08bef \ - --hash=sha256:404f3462b4532e13a70b8849bba241dbd82e30043ff58d98c7e762fd925b116a \ - --hash=sha256:43729a5e369ebbe7750635c0c206bc616fcd36e703cb9c4497d6b4df0291ee64 \ - --hash=sha256:4738790cf54d8b416de992b87ee567056980bc82134d52458bd4985f389d1658 \ - --hash=sha256:4db9769d57deb5545ce56ebbbbe3436dcc0ae2688ce14c295cd14e106624ece7 \ - --hash=sha256:6551d55b8607b97a7755683d743200b398c61a0b71a11b7f00c89c335a11d0f4 \ - --hash=sha256:6615b39cd747967c3aabe68bf3f5f26748e823cc6b474ddc1510ed188a824149 \ - --hash=sha256:70d9c5d527bbfa69bd3c7d17dac11fb6781e36186a434a06d7d5892e0b2f88f9 \ - --hash=sha256:7234ff086cb152ea2a3b7ef895b5ebeb6d80779df049d5c6431c8e3536d5b03c \ - --hash=sha256:732b4ef76adcb0f298a7d18c4558336d83b1384f9ae0c7eaa1dc8d031b0a4390 \ - --hash=sha256:74e4e634ab82d1466acf0be27043178570b98ebeaa3165f9240a6fad4c286471 \ - --hash=sha256:79c8d015c771c8bfdb1208003b227b27c40034790a2c29c09f2317a041825ce2 \ - --hash=sha256:7fba7315fd4bd87cb5560792709f6e66e0606402d362c0a38dd32dfb66ba6066 \ - --hash=sha256:8f5153e9c44a02e61f4042c5f9249d2e8a759773d621a0b2f445a899e536e181 \ - --hash=sha256:905fc11940831454d93589bd7ce2acb6a5eb01c2936156f751d2a21087c98cd3 \ - --hash=sha256:90fc5c0d35a22f1a92dd33635508626d50f8fc64deb897c23e78e666a60804c9 \ - --hash=sha256:91362c0a9fdf1c344b7f50a5b0508b11a0732102998fbd754a191f7187e77031 \ - --hash=sha256:91d3786f3929786cdc4eeedfd110abb4603e7f6c1390c5af398f333a947b742d \ - --hash=sha256:97c55336e16f5c4ca2bde7be94cca4b8f7d665d64f7008925a82e02707ba14ac \ - --hash=sha256:9ecd6a1fc1b86f1f4e8ae206759b6319c10019706b3496b01b54d02b9b2cd918 \ - --hash=sha256:a6f26937ce0293aafbece0e39019e020369a5a70486ff4088227f0cc888844a9 \ - --hash=sha256:b3db87c4772097c0782250bcd550d66b1189a8c889793c7bcf153f4fee70005c \ - --hash=sha256:bd50d201098aae0d202805fe9606c0545492f69a3ec4403337e32c54ad29fc41 \ - --hash=sha256:cf2ff7b654c8e95143e20f5d75878cbb78b65b928b26c4d58ef71cdba9d6d981 \ - --hash=sha256:dcd04f85a29deb80400e8987cfaceb9907140f763453cbffdbd6ff36f1b32c12 \ - --hash=sha256:dcded5056d9f3d201df7833082c07ebcbc566ffc3d4105c9fc9fe278fa086ecb \ - --hash=sha256:faa008dccfcb793ae9101325e4d6d026caaa5d845c2182f03749c759834b0a3a +ast-serialize==0.5.0 \ + --hash=sha256:061ee58bdb52341c8201a6df41182a977736bae3b7ded87ca7176ca25a8a47ab \ + --hash=sha256:0668aa9459cfa8c9c49ddd2163ebcf43088ba045ef7492af6fe22e0098303101 \ + --hash=sha256:104e4a35bd7c124173c41760ef9aaea17ddb3f86c65cb643671d59afbe3ee94c \ + --hash=sha256:143a4ef63285a075871908fda3672dc21864b83a8ec3ee12304aa3e4c5387b9a \ + --hash=sha256:16db7c62ec0b8efe1d7afd283a388d8f74f2605d56032e5a37747d2de8dba027 \ + --hash=sha256:1943db345233cc7194a470f13afa9c59772c0b123dea0c9414c4d4ca54369759 \ + --hash=sha256:239a4c354e8d676e9d94631d1d4a64edc6b266f86ff3a5a80aedd344f342c01d \ + --hash=sha256:2782c36237c46dd1674542f2109740ea5ea485a169bf1431939ada0434e17934 \ + --hash=sha256:27d51654fc240a1e87e742d353d98eb45b75f62f129086b3596ab53df2ac2a43 \ + --hash=sha256:36be371028fc1675acb38a331bde160dbab7ff907fdf00b67eb6911aa106951b \ + --hash=sha256:5499e8797edff2a9186aa313ed382c6b422e798e9332d9953badcee6e69a88f2 \ + --hash=sha256:5880091bfe6f4f986f22866375c2e884843e7a0b6343ae41aeea659613d879b6 \ + --hash=sha256:6848f2a093fb5548751a9a09bff8fcd229e2bbeb0e3331f391b6ae6d26cd9903 \ + --hash=sha256:787baedb0262cc49e8ce37cc15c00ae818e46a165a3b36f5e21ed174998104cb \ + --hash=sha256:7d1a2de9de5be04652f0ed60738356ef94f66db37924a9499fffe98dc491aa0b \ + --hash=sha256:832d4c998e0b091fd60a6d6bceee535483c4d490de9ba85003af835225719261 \ + --hash=sha256:842d1c004bb466c7df036f95fabef789570541922b10976b12f5592a69cf0b38 \ + --hash=sha256:8f5c14f169eb0972c0c21bada5358b23d6047c76583b005234f865b11f1fa00a \ + --hash=sha256:92a31c9c20d25a076edaeec76b128a3535d74a24f340b9a8a7e96c9b86dc9642 \ + --hash=sha256:9cc22cf0c9be65e71cf88fda130af60d61eb4a79370ad4cfe7900d48a4aa2211 \ + --hash=sha256:b0c06d760909b095cc466356dfccd05a1c7233a6ca191c020dca2c6a6f16c24c \ + --hash=sha256:b15219e9cdc9f53f6f4cb51c009203507228226148c05c5e8fe451c28b435eb3 \ + --hash=sha256:b54f60c1d78767a53b67eaa663f0dfac3afe606aa07f1301572f588b73d64809 \ + --hash=sha256:b725026bafa801dbd7310eb13a75f0a2e370e7e51b2cb225f9d21fcfadf919ee \ + --hash=sha256:baf5eb061eb5bccade4128ad42da33787d72f6013809cd1b590376ece8b3c937 \ + --hash=sha256:be5173fb66f9b49026d9d5a2ff0fc7c7009077107c0eb285b2d60fdf1fe10bd1 \ + --hash=sha256:bf683d6363edf2b39eed6b6d4fe22d34b6203867a67e27134d9e2a2680c4bc4a \ + --hash=sha256:cae65289fc456fde04af979a2be09302ef5d8ab92ef23e596d6746dc267ada27 \ + --hash=sha256:cf25572c526add400f26a4750dc6ce0c3bb93fc1f75e7ae0cad4ce4f2cd5c590 \ + --hash=sha256:df1c00022cbbcb064bfaa505aa9c9295362443ce5dacb459d1331d3da353f887 \ + --hash=sha256:e42d729ef2be96a14efbad355093284739e3670ece3e534f82cc8832790911d9 \ + --hash=sha256:f66173891548c9f2726bf27957b41cabce12fa679dc6da505ddbde4d4b3b31cf \ + --hash=sha256:f8015cd071ac1339924ee2b8098c93e00e155f30a16f40ec9816fcf84f4753f6 # via mypy attrs==26.1.0 \ --hash=sha256:c647aa4a12dfbad9333ca4e71fe62ddc36f4e63b2d260a37a8b83d2f043ac309 \ @@ -192,9 +194,9 @@ charset-normalizer==3.4.7 \ --hash=sha256:fbccdc05410c9ee21bbf16a35f4c1d16123dcdeb8a1d38f33654fa21d0234f79 \ --hash=sha256:fea24543955a6a729c45a73fe90e08c743f0b3334bbf3201e6c4bc1b0c7fa464 # via requests -click==8.3.3 \ - --hash=sha256:398329ad4837b2ff7cbe1dd166a4c0f8900c3ca3a218de04466f38f6497f18a2 \ - --hash=sha256:a2bf429bb3033c89fa4936ffb35d5cb471e3719e1f3c8a7c3fff0b8314305613 +click==8.4.0 \ + --hash=sha256:40c50b7c6c6adac2823d411041ec84f3f103f1b280d5e9ce0d7f998995832f81 \ + --hash=sha256:638f1338fe1235c8f4e008e4a8a254fb5c5fbdcbb40ece3c9142ebb78e792973 # via # feast (pyproject.toml) # dask @@ -1469,116 +1471,114 @@ uvloop==0.22.1 \ --hash=sha256:ef6f0d4cc8a9fa1f6a910230cd53545d9a14479311e87e3cb225495952eb672c \ --hash=sha256:fe94b4564e865d968414598eea1a6de60adba0c040ba4ed05ac1300de402cd42 # via uvicorn -watchfiles==1.1.1 \ - --hash=sha256:00485f441d183717038ed2e887a7c868154f216877653121068107b227a2f64c \ - --hash=sha256:03fa0f5237118a0c5e496185cafa92878568b652a2e9a9382a5151b1a0380a43 \ - --hash=sha256:04e78dd0b6352db95507fd8cb46f39d185cf8c74e4cf1e4fbad1d3df96faf510 \ - --hash=sha256:059098c3a429f62fc98e8ec62b982230ef2c8df68c79e826e37b895bc359a9c0 \ - --hash=sha256:08af70fd77eee58549cd69c25055dc344f918d992ff626068242259f98d598a2 \ - --hash=sha256:0b495de0bb386df6a12b18335a0285dda90260f51bdb505503c02bcd1ce27a8b \ - --hash=sha256:130e4876309e8686a5e37dba7d5e9bc77e6ed908266996ca26572437a5271e18 \ - --hash=sha256:14e0b1fe858430fc0251737ef3824c54027bedb8c37c38114488b8e131cf8219 \ - --hash=sha256:17ef139237dfced9da49fb7f2232c86ca9421f666d78c264c7ffca6601d154c3 \ - --hash=sha256:1a0bb430adb19ef49389e1ad368450193a90038b5b752f4ac089ec6942c4dff4 \ - --hash=sha256:1db5d7ae38ff20153d542460752ff397fcf5c96090c1230803713cf3147a6803 \ - --hash=sha256:28475ddbde92df1874b6c5c8aaeb24ad5be47a11f87cde5a28ef3835932e3e94 \ - --hash=sha256:2edc3553362b1c38d9f06242416a5d8e9fe235c204a4072e988ce2e5bb1f69f6 \ - --hash=sha256:30f7da3fb3f2844259cba4720c3fc7138eb0f7b659c38f3bfa65084c7fc7abce \ - --hash=sha256:311ff15a0bae3714ffb603e6ba6dbfba4065ab60865d15a6ec544133bdb21099 \ - --hash=sha256:319b27255aacd9923b8a276bb14d21a5f7ff82564c744235fc5eae58d95422ae \ - --hash=sha256:35c53bd62a0b885bf653ebf6b700d1bf05debb78ad9292cf2a942b23513dc4c4 \ - --hash=sha256:36193ed342f5b9842edd3532729a2ad55c4160ffcfa3700e0d54be496b70dd43 \ - --hash=sha256:39574d6370c4579d7f5d0ad940ce5b20db0e4117444e39b6d8f99db5676c52fd \ - --hash=sha256:399600947b170270e80134ac854e21b3ccdefa11a9529a3decc1327088180f10 \ - --hash=sha256:3a476189be23c3686bc2f4321dd501cb329c0a0469e77b7b534ee10129ae6374 \ - --hash=sha256:3ad9fe1dae4ab4212d8c91e80b832425e24f421703b5a42ef2e4a1e215aff051 \ - --hash=sha256:3bc570d6c01c206c46deb6e935a260be44f186a2f05179f52f7fcd2be086a94d \ - --hash=sha256:3dbd8cbadd46984f802f6d479b7e3afa86c42d13e8f0f322d669d79722c8ec34 \ - --hash=sha256:3e6f39af2eab0118338902798b5aa6664f46ff66bc0280de76fca67a7f262a49 \ - --hash=sha256:3f53fa183d53a1d7a8852277c92b967ae99c2d4dcee2bfacff8868e6e30b15f7 \ - --hash=sha256:3f6d37644155fb5beca5378feb8c1708d5783145f2a0f1c4d5a061a210254844 \ - --hash=sha256:3f7eb7da0eb23aa2ba036d4f616d46906013a68caf61b7fdbe42fc8b25132e77 \ - --hash=sha256:3fa0b59c92278b5a7800d3ee7733da9d096d4aabcfabb9a928918bd276ef9b9b \ - --hash=sha256:421e29339983e1bebc281fab40d812742268ad057db4aee8c4d2bce0af43b741 \ - --hash=sha256:4b943d3668d61cfa528eb949577479d3b077fd25fb83c641235437bc0b5bc60e \ - --hash=sha256:526e86aced14a65a5b0ec50827c745597c782ff46b571dbfe46192ab9e0b3c33 \ - --hash=sha256:52e06553899e11e8074503c8e716d574adeeb7e68913115c4b3653c53f9bae42 \ - --hash=sha256:544364b2b51a9b0c7000a4b4b02f90e9423d97fbbf7e06689236443ebcad81ab \ - --hash=sha256:5524298e3827105b61951a29c3512deb9578586abf3a7c5da4a8069df247cccc \ - --hash=sha256:55c7475190662e202c08c6c0f4d9e345a29367438cf8e8037f3155e10a88d5a5 \ - --hash=sha256:563b116874a9a7ce6f96f87cd0b94f7faf92d08d0021e837796f0a14318ef8da \ - --hash=sha256:57ca5281a8b5e27593cb7d82c2ac927ad88a96ed406aa446f6344e4328208e9e \ - --hash=sha256:5c85794a4cfa094714fb9c08d4a218375b2b95b8ed1666e8677c349906246c05 \ - --hash=sha256:5f3bde70f157f84ece3765b42b4a52c6ac1a50334903c6eaf765362f6ccca88a \ - --hash=sha256:5f3f58818dc0b07f7d9aa7fe9eb1037aecb9700e63e1f6acfed13e9fef648f5d \ - --hash=sha256:5fac835b4ab3c6487b5dbad78c4b3724e26bcc468e886f8ba8cc4306f68f6701 \ - --hash=sha256:620bae625f4cb18427b1bb1a2d9426dc0dd5a5ba74c7c2cdb9de405f7b129863 \ - --hash=sha256:672b8adf25b1a0d35c96b5888b7b18699d27d4194bac8beeae75be4b7a3fc9b2 \ - --hash=sha256:6aae418a8b323732fa89721d86f39ec8f092fc2af67f4217a2b07fd3e93c6101 \ - --hash=sha256:6c3631058c37e4a0ec440bf583bc53cdbd13e5661bb6f465bc1d88ee9a0a4d02 \ - --hash=sha256:6c9c9262f454d1c4d8aaa7050121eb4f3aea197360553699520767daebf2180b \ - --hash=sha256:6e43d39a741e972bab5d8100b5cdacf69db64e34eb19b6e9af162bccf63c5cc6 \ - --hash=sha256:7365b92c2e69ee952902e8f70f3ba6360d0d596d9299d55d7d386df84b6941fb \ - --hash=sha256:743185e7372b7bc7c389e1badcc606931a827112fbbd37f14c537320fca08620 \ - --hash=sha256:74472234c8370669850e1c312490f6026d132ca2d396abfad8830b4f1c096957 \ - --hash=sha256:74d5012b7630714b66be7b7b7a78855ef7ad58e8650c73afc4c076a1f480a8d6 \ - --hash=sha256:77a13aea58bc2b90173bc69f2a90de8e282648939a00a602e1dc4ee23e26b66d \ - --hash=sha256:79ff6c6eadf2e3fc0d7786331362e6ef1e51125892c75f1004bd6b52155fb956 \ - --hash=sha256:831a62658609f0e5c64178211c942ace999517f5770fe9436be4c2faeba0c0ef \ - --hash=sha256:836398932192dae4146c8f6f737d74baeac8b70ce14831a239bdb1ca882fc261 \ - --hash=sha256:842178b126593addc05acf6fce960d28bc5fae7afbaa2c6c1b3a7b9460e5be02 \ - --hash=sha256:8526e8f916bb5b9a0a777c8317c23ce65de259422bba5b31325a6fa6029d33af \ - --hash=sha256:859e43a1951717cc8de7f4c77674a6d389b106361585951d9e69572823f311d9 \ - --hash=sha256:88863fbbc1a7312972f1c511f202eb30866370ebb8493aef2812b9ff28156a21 \ - --hash=sha256:89eef07eee5e9d1fda06e38822ad167a044153457e6fd997f8a858ab7564a336 \ - --hash=sha256:8c89f9f2f740a6b7dcc753140dd5e1ab9215966f7a3530d0c0705c83b401bd7d \ - 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--hash=sha256:b8c8358484d5fa12ef34f05b7f4168eaf1932f408725ff6d023c33ec17bd79d4 \ + --hash=sha256:b974946a10af379d425e2eef5b62f5c6ebeaccf91d45eaad6f5b27ecd4f91aa0 \ + --hash=sha256:b9909cc2b48468b575eefa944919e1fe8a36c5849d5c7c168f80a8c1db69398e \ + --hash=sha256:b9f732dc58b2dbe69e464ccf8fff7a03b0dd0be439da4c0720d3558527d3d6b4 \ + --hash=sha256:bb68bf4df85abebe5efddc53cf2075520f243a59868d9b3973278b23e76962a9 \ + --hash=sha256:bb7e52ecf68ba46d22df23467b87cffeb2146908aa523ebfe803019618cfda06 \ + --hash=sha256:bc13eb17538be00c874699dc0abe4ee2bc8d50bb1166a6b9e175ef3fd7eb8f26 \ + --hash=sha256:c0db965c5f79aa49fe672d297cf1febc5ad149b658594944f49a54a2b96270a7 \ + --hash=sha256:c16cb06dd17d43b9d185094268459eac92c9538356f050e55b54e82cf700e1d4 \ + --hash=sha256:c525543d91961c6955b2636b308569e84a1d1c5f5f2932041ab9ef46422f43e3 \ + --hash=sha256:c5c19526f4e54a00f2666a6c0e9e40d582c09e865055ea7378bf0009aab857b3 \ + --hash=sha256:c995fba777f1ea992f090f9236e9284cf7a5d1a0130dd5a3d82c598cacd76838 \ + --hash=sha256:ca148d73dea36c9763aaa351e4d7a51780ec1584217c45276f4fe8239c768b71 \ + --hash=sha256:cee9d5efd929efdac5f7e58f72b3376f676b64050a91c5b99a7094c5b2317488 \ + --hash=sha256:d158cd89df6053823533e06fb1d73c549133bff5f0396170c0e53d9559340717 \ + --hash=sha256:d20029a60a71a052a24c4db7673bc4de39ab89adbaccbfb5d67987c5d73f424d \ + --hash=sha256:d413349d565dab74297f2a63e84a097936be69bf8f3b3801f27f380e32040f44 \ + --hash=sha256:d4a4b147f5dca2a5d325a06a832fb43f345751adfbc63204aec30e0d9ca965a2 \ + --hash=sha256:d516b3283a758e087841aedb8031549fb41ced08f3db10aa6d2bf32dc042525b \ + --hash=sha256:d73a585accffa5ae39c17264c36ec3166d2fad7000c780f5ef83b2722afb9dd2 \ + --hash=sha256:dbd6c97045dad81227c8d040173da044c1de08de64a5ea8b555da4aee1d5fa22 \ + --hash=sha256:e0618518f282c4ebff60f5e5b1247b6d91bb8b9f4476947563a1e74acc66f3c6 \ + --hash=sha256:e140ed30ebde76796b686e67c182cff10ea2fbab186fafd1560f74bb5a473a6e \ + --hash=sha256:e1cfd51e97e13ff3bd047c140764d277fc9b95b7cb5da59e46a47d167adab310 \ + --hash=sha256:e2ca07fa7d89195ec0865d3d285666286740bfa83d83e5cee204043a31ecc165 \ + --hash=sha256:e53a384f76b631c3ae5334ce6a52f0baa3a911eb94a4eac7f160079868b716d5 \ + --hash=sha256:eb283ee99e21ad6443c8cdb06ac5b34b1308c329cbdf03fa02b445363714c799 \ + --hash=sha256:eb72919d93e3a16fc451d3aa3d4b1698423daca1b382d3d959c9ac51297c12a8 \ + --hash=sha256:ecb47f183a8025b2aa18b546725c3657e542112ae9c0613a2af79b4fa8d04ad7 \ + --hash=sha256:f155b3a1b2a5fc89cdc70d47ee5d54e3b75e88efa34982028a35daef9ba00379 \ + --hash=sha256:f22943b7770483f6ea0721c6b11d022947a98eb0acae14694de034f4d0d38925 \ + --hash=sha256:f28b2725eb8cce327b9b3ab02415c853011dc55c95832fe90de6bc56f5315f72 \ + --hash=sha256:f88af53d6ddaf72179ef613ddc905e6f4785f712b49b80b3bef9f3525e6194b4 \ + --hash=sha256:faea288b6f0ab1902ef08f4ca6de005dccf856c4e0c4f21b8c5fce02d90a1b08 \ + --hash=sha256:fff610d7bb2256a317bb1e96f0d7862c7aa8076733ee5df0fd41bbe76a24a4f4 # via uvicorn websockets==16.0 \ --hash=sha256:0298d07ee155e2e9fda5be8a9042200dd2e3bb0b8a38482156576f863a9d457c \ @@ -1643,7 +1643,7 @@ websockets==16.0 \ --hash=sha256:f4a32d1bd841d4bcbffdcb3d2ce50c09c3909fbead375ab28d0181af89fd04da \ --hash=sha256:fd3cb4adb94a2a6e2b7c0d8d05cb94e6f1c81a0cf9dc2694fb65c7e8d94c42e4 # via uvicorn -zipp==3.23.1 \ - --hash=sha256:0b3596c50a5c700c9cb40ba8d86d9f2cc4807e9bedb06bcdf7fac85633e444dc \ - --hash=sha256:32120e378d32cd9714ad503c1d024619063ec28aad2248dc6672ad13edfa5110 +zipp==4.1.0 \ + --hash=sha256:25ad4e16390cd314347dd8f1de67a2ac538ae658ed4ab9db16029c07c188e97f \ + --hash=sha256:4cb57381f544315db7688e976e922a2b18cdb513d21cc194eb42232ba2a3e602 # via importlib-metadata diff --git a/sdk/python/requirements/py3.11-ci-requirements.txt b/sdk/python/requirements/py3.11-ci-requirements.txt index a712a60a132..4f011ae852b 100644 --- a/sdk/python/requirements/py3.11-ci-requirements.txt +++ b/sdk/python/requirements/py3.11-ci-requirements.txt @@ -137,6 +137,7 @@ aiohttp==3.13.5 \ # aiobotocore # aiohttp-cors # fsspec + # mlflow # ray aiohttp-cors==0.8.1 \ --hash=sha256:3180cf304c5c712d626b9162b195b1db7ddf976a2a25172b35bb2448b890a80d \ @@ -154,6 +155,10 @@ alabaster==0.7.16 \ --hash=sha256:75a8b99c28a5dad50dd7f8ccdd447a121ddb3892da9e53d1ca5cca3106d58d65 \ --hash=sha256:b46733c07dce03ae4e150330b975c75737fa60f0a7c591b6c8bf4928a28e2c92 # via sphinx +alembic==1.18.4 \ + --hash=sha256:a5ed4adcf6d8a4cb575f3d759f071b03cd6e5c7618eb796cb52497be25bfe19a \ + --hash=sha256:cb6e1fd84b6174ab8dbb2329f86d631ba9559dd78df550b57804d607672cedbc + # via mlflow altair==4.2.2 \ --hash=sha256:39399a267c49b30d102c10411e67ab26374156a84b1aeb9fcd15140429ba49c5 \ --hash=sha256:8b45ebeaf8557f2d760c5c77b79f02ae12aee7c46c27c06014febab6f849bc87 @@ -265,9 +270,9 @@ azure-identity==1.25.3 \ --hash=sha256:ab23c0d63015f50b630ef6c6cf395e7262f439ce06e5d07a64e874c724f8d9e6 \ --hash=sha256:f4d0b956a8146f30333e071374171f3cfa7bdb8073adb8c3814b65567aa7447c # via feast (pyproject.toml) -azure-storage-blob==12.28.0 \ - --hash=sha256:00fb1db28bf6a7b7ecaa48e3b1d5c83bfadacc5a678b77826081304bd87d6461 \ - --hash=sha256:e7d98ea108258d29aa0efbfd591b2e2075fa1722a2fae8699f0b3c9de11eff41 +azure-storage-blob==12.29.0 \ + --hash=sha256:2824ddd7ebc9056034ebc76b17971a38e9aa5835abb0d565b9700493f2a6c657 \ + --hash=sha256:ccf8a1bcd5e49df83ab85aab793b579e5ba2eeea2ad8900b2f62ca3a37dc391f # via feast (pyproject.toml) babel==2.18.0 \ --hash=sha256:b80b99a14bd085fcacfa15c9165f651fbb3406e66cc603abf11c5750937c992d \ @@ -354,6 +359,10 @@ bleach[css]==6.3.0 \ --hash=sha256:6f3b91b1c0a02bb9a78b5a454c92506aa0fdf197e1d5e114d2e00c6f64306d22 \ --hash=sha256:fe10ec77c93ddf3d13a73b035abaac7a9f5e436513864ccdad516693213c65d6 # via nbconvert +blinker==1.9.0 \ + --hash=sha256:b4ce2265a7abece45e7cc896e98dbebe6cead56bcf805a3d23136d145f5445bf \ + --hash=sha256:ba0efaa9080b619ff2f3459d1d500c57bddea4a6b424b60a91141db6fd2f08bc + # via flask boto3==1.38.27 \ --hash=sha256:94bd7fdd92d5701b362d4df100d21e28f8307a67ff56b6a8b0398119cf22f859 \ --hash=sha256:95f5fe688795303a8a15e8b7e7f255cadab35eae459d00cc281a4fd77252ea80 @@ -377,6 +386,12 @@ build==1.5.0 \ # feast (pyproject.toml) # pip-tools # singlestoredb +cachetools==7.1.3 \ + --hash=sha256:135cfe944bc3c1e805505f65dae0bef375a2f96261171ab66c79ef77d0bda39d \ + --hash=sha256:9876787e2346e20584d5cca236cb5d49d04e7193de91646f230725b2e1e8b804 + # via + # mlflow-skinny + # mlflow-tracing cassandra-driver==3.30.0 \ --hash=sha256:0c28a8e84917acebecbaed39844047c2f135739c3627dd7b9f8541af33e11df3 \ --hash=sha256:0f4225082a11d9529416c223553ab38a29c4e65da6646b40159c554480dc002c \ @@ -645,14 +660,16 @@ charset-normalizer==3.4.7 \ # via # requests # snowflake-connector-python -click==8.3.3 \ - --hash=sha256:398329ad4837b2ff7cbe1dd166a4c0f8900c3ca3a218de04466f38f6497f18a2 \ - --hash=sha256:a2bf429bb3033c89fa4936ffb35d5cb471e3719e1f3c8a7c3fff0b8314305613 +click==8.4.0 \ + --hash=sha256:40c50b7c6c6adac2823d411041ec84f3f103f1b280d5e9ce0d7f998995832f81 \ + --hash=sha256:638f1338fe1235c8f4e008e4a8a254fb5c5fbdcbb40ece3c9142ebb78e792973 # via # feast (pyproject.toml) # dask + # flask # geomet # great-expectations + # mlflow-skinny # pip-tools # ray # typer @@ -663,6 +680,7 @@ clickhouse-connect==1.0.0 \ --hash=sha256:04ba770a1e3d0f2d093fc7400d2da0e121b55b092b65250d738e09b0139a594e \ --hash=sha256:07c23806a5dd00e95d7edd75796a2667234e99934033fb8f39659f58eb18fab1 \ --hash=sha256:0a6faf07cfb16feb345c36dc5e2895a655d923ef64f10ff616eca44dfe5cc5b0 \ + --hash=sha256:0d4ed1e296c6e77dc0dbf486607cc39fc6e36866abb653543d5ad0a8426ea8f0 \ --hash=sha256:0fcccd2b49d57a09e465fc0c01c7c323f0db637241b3fc93d869d1b256c46184 \ --hash=sha256:1265ab0139fcf6fd36d358697a1a4dab313a6bdb7ab9a9bc8ecc3f656f16dee3 \ --hash=sha256:1415f440ae59b03e10bd5cc11c0034f30ad5f8fad74b42153926482c99ac21eb \ @@ -715,7 +733,9 @@ clickhouse-connect==1.0.0 \ cloudpickle==3.1.2 \ --hash=sha256:7fda9eb655c9c230dab534f1983763de5835249750e85fbcef43aaa30a9a2414 \ --hash=sha256:9acb47f6afd73f60dc1df93bb801b472f05ff42fa6c84167d25cb206be1fbf4a - # via dask + # via + # dask + # mlflow-skinny codeflare-sdk==0.37.0 \ --hash=sha256:2106118d9341db7e329da59f296bc635c08e365d4a644013bb9a55ce38c54da5 \ --hash=sha256:a5f86b9541a3ef2498bc920465b0e106c4e58bfa2004d14ff177f83761afd469 @@ -736,6 +756,80 @@ comm==0.2.3 \ # via # ipykernel # ipywidgets +contourpy==1.3.3 \ + --hash=sha256:023b44101dfe49d7d53932be418477dba359649246075c996866106da069af69 \ + --hash=sha256:07ce5ed73ecdc4a03ffe3e1b3e3c1166db35ae7584be76f65dbbe28a7791b0cc \ + --hash=sha256:083e12155b210502d0bca491432bb04d56dc3432f95a979b429f2848c3dbe880 \ + --hash=sha256:0bf67e0e3f482cb69779dd3061b534eb35ac9b17f163d851e2a547d56dba0a3a \ + --hash=sha256:0c1fc238306b35f246d61a1d416a627348b5cf0648648a031e14bb8705fcdfe8 \ + --hash=sha256:13b68d6a62db8eafaebb8039218921399baf6e47bf85006fd8529f2a08ef33fc \ + --hash=sha256:15ff10bfada4bf92ec8b31c62bf7c1834c244019b4a33095a68000d7075df470 \ + --hash=sha256:177fb367556747a686509d6fef71d221a4b198a3905fe824430e5ea0fda54eb5 \ + --hash=sha256:1cadd8b8969f060ba45ed7c1b714fe69185812ab43bd6b86a9123fe8f99c3263 \ + --hash=sha256:1fd43c3be4c8e5fd6e4f2baeae35ae18176cf2e5cced681cca908addf1cdd53b \ + --hash=sha256:22e9b1bd7a9b1d652cd77388465dc358dafcd2e217d35552424aa4f996f524f5 \ + --hash=sha256:23416f38bfd74d5d28ab8429cc4d63fa67d5068bd711a85edb1c3fb0c3e2f381 \ + --hash=sha256:283edd842a01e3dcd435b1c5116798d661378d83d36d337b8dde1d16a5fc9ba3 \ + --hash=sha256:2a2a8b627d5cc6b7c41a4beff6c5ad5eb848c88255fda4a8745f7e901b32d8e4 \ + --hash=sha256:2b7e9480ffe2b0cd2e787e4df64270e3a0440d9db8dc823312e2c940c167df7e \ + --hash=sha256:322ab1c99b008dad206d406bb61d014cf0174df491ae9d9d0fac6a6fda4f977f \ + --hash=sha256:33c82d0138c0a062380332c861387650c82e4cf1747aaa6938b9b6516762e772 \ + --hash=sha256:348ac1f5d4f1d66d3322420f01d42e43122f43616e0f194fc1c9f5d830c5b286 \ + --hash=sha256:3519428f6be58431c56581f1694ba8e50626f2dd550af225f82fb5f5814d2a42 \ + --hash=sha256:3c30273eb2a55024ff31ba7d052dde990d7d8e5450f4bbb6e913558b3d6c2301 \ + --hash=sha256:3d1a3799d62d45c18bafd41c5fa05120b96a28079f2393af559b843d1a966a77 \ + --hash=sha256:451e71b5a7d597379ef572de31eeb909a87246974d960049a9848c3bc6c41bf7 \ + --hash=sha256:459c1f020cd59fcfe6650180678a9993932d80d44ccde1fa1868977438f0b411 \ + --hash=sha256:4d00e655fcef08aba35ec9610536bfe90267d7ab5ba944f7032549c55a146da1 \ + --hash=sha256:4debd64f124ca62069f313a9cb86656ff087786016d76927ae2cf37846b006c9 \ + --hash=sha256:4feffb6537d64b84877da813a5c30f1422ea5739566abf0bd18065ac040e120a \ + --hash=sha256:50ed930df7289ff2a8d7afeb9603f8289e5704755c7e5c3bbd929c90c817164b \ + --hash=sha256:51e79c1f7470158e838808d4a996fa9bac72c498e93d8ebe5119bc1e6becb0db \ + --hash=sha256:556dba8fb6f5d8742f2923fe9457dbdd51e1049c4a43fd3986a0b14a1d815fc6 \ + --hash=sha256:598c3aaece21c503615fd59c92a3598b428b2f01bfb4b8ca9c4edeecc2438620 \ + --hash=sha256:5ed3657edf08512fc3fe81b510e35c2012fbd3081d2e26160f27ca28affec989 \ + --hash=sha256:626d60935cf668e70a5ce6ff184fd713e9683fb458898e4249b63be9e28286ea \ + --hash=sha256:644a6853d15b2512d67881586bd03f462c7ab755db95f16f14d7e238f2852c67 \ + --hash=sha256:655456777ff65c2c548b7c454af9c6f33f16c8884f11083244b5819cc214f1b5 \ + --hash=sha256:66c8a43a4f7b8df8b71ee1840e4211a3c8d93b214b213f590e18a1beca458f7d \ + --hash=sha256:6afc576f7b33cf00996e5c1102dc2a8f7cc89e39c0b55df93a0b78c1bd992b36 \ + --hash=sha256:6c3d53c796f8647d6deb1abe867daeb66dcc8a97e8455efa729516b997b8ed99 \ + --hash=sha256:709a48ef9a690e1343202916450bc48b9e51c049b089c7f79a267b46cffcdaa1 \ + --hash=sha256:70f9aad7de812d6541d29d2bbf8feb22ff7e1c299523db288004e3157ff4674e \ + --hash=sha256:8153b8bfc11e1e4d75bcb0bff1db232f9e10b274e0929de9d608027e0d34ff8b \ + --hash=sha256:87acf5963fc2b34825e5b6b048f40e3635dd547f590b04d2ab317c2619ef7ae8 \ + --hash=sha256:88df9880d507169449d434c293467418b9f6cbe82edd19284aa0409e7fdb933d \ + --hash=sha256:929ddf8c4c7f348e4c0a5a3a714b5c8542ffaa8c22954862a46ca1813b667ee7 \ + --hash=sha256:92d9abc807cf7d0e047b95ca5d957cf4792fcd04e920ca70d48add15c1a90ea7 \ + --hash=sha256:95b181891b4c71de4bb404c6621e7e2390745f887f2a026b2d99e92c17892339 \ + --hash=sha256:9e999574eddae35f1312c2b4b717b7885d4edd6cb46700e04f7f02db454e67c1 \ + --hash=sha256:a15459b0f4615b00bbd1e91f1b9e19b7e63aea7483d03d804186f278c0af2659 \ + --hash=sha256:a22738912262aa3e254e4f3cb079a95a67132fc5a063890e224393596902f5a4 \ + --hash=sha256:ab2fd90904c503739a75b7c8c5c01160130ba67944a7b77bbf36ef8054576e7f \ + --hash=sha256:ab3074b48c4e2cf1a960e6bbeb7f04566bf36b1861d5c9d4d8ac04b82e38ba20 \ + --hash=sha256:afe5a512f31ee6bd7d0dda52ec9864c984ca3d66664444f2d72e0dc4eb832e36 \ + --hash=sha256:b08a32ea2f8e42cf1d4be3169a98dd4be32bafe4f22b6c4cb4ba810fa9e5d2cb \ + --hash=sha256:b20c7c9a3bf701366556e1b1984ed2d0cedf999903c51311417cf5f591d8c78d \ + --hash=sha256:b2e8faa0ed68cb29af51edd8e24798bb661eac3bd9f65420c1887b6ca89987c8 \ + --hash=sha256:b7301b89040075c30e5768810bc96a8e8d78085b47d8be6e4c3f5a0b4ed478a0 \ + --hash=sha256:b7448cb5a725bb1e35ce88771b86fba35ef418952474492cf7c764059933ff8b \ + --hash=sha256:ca0fdcd73925568ca027e0b17ab07aad764be4706d0a925b89227e447d9737b7 \ + --hash=sha256:ca658cd1a680a5c9ea96dc61cdbae1e85c8f25849843aa799dfd3cb370ad4fbe \ + --hash=sha256:cbedb772ed74ff5be440fa8eee9bd49f64f6e3fc09436d9c7d8f1c287b121d77 \ + --hash=sha256:cd5dfcaeb10f7b7f9dc8941717c6c2ade08f587be2226222c12b25f0483ed497 \ + --hash=sha256:cf9022ef053f2694e31d630feaacb21ea24224be1c3ad0520b13d844274614fd \ + --hash=sha256:d002b6f00d73d69333dac9d0b8d5e84d9724ff9ef044fd63c5986e62b7c9e1b1 \ + --hash=sha256:d06bb1f751ba5d417047db62bca3c8fde202b8c11fb50742ab3ab962c81e8216 \ + --hash=sha256:d304906ecc71672e9c89e87c4675dc5c2645e1f4269a5063b99b0bb29f232d13 \ + --hash=sha256:e4e6b05a45525357e382909a4c1600444e2a45b4795163d3b22669285591c1ae \ + --hash=sha256:e74a9a0f5e3fff48fb5a7f2fd2b9b70a3fe014a67522f79b7cca4c0c7e43c9ae \ + --hash=sha256:ea37e7b45949df430fe649e5de8351c423430046a2af20b1c1961cae3afcda77 \ + --hash=sha256:f64836de09927cba6f79dcd00fdd7d5329f3fccc633468507079c829ca4db4e3 \ + --hash=sha256:fd6ec6be509c787f1caf6b247f0b1ca598bef13f4ddeaa126b7658215529ba0f \ + --hash=sha256:fd907ae12cd483cd83e414b12941c632a969171bf90fc937d0c9f268a31cafff \ + --hash=sha256:fd914713266421b7536de2bfa8181aa8c699432b6763a0ea64195ebe28bff6a9 \ + --hash=sha256:fde6c716d51c04b1c25d0b90364d0be954624a0ee9d60e23e850e8d48353d07a + # via matplotlib couchbase==4.3.2 \ --hash=sha256:032a180afd6621358b2c73543b9c5db9939b442fc3ad6d54417c36c8a8f65838 \ --hash=sha256:11ce688ed46edf8387bf51866618c7b4e06399e7fb34a6df002764996c109d1f \ @@ -968,6 +1062,7 @@ cryptography==46.0.7 \ # google-auth # great-expectations # jwcrypto + # mlflow # moto # msal # oracledb @@ -977,10 +1072,20 @@ cryptography==46.0.7 \ # snowflake-connector-python # types-pyopenssl # types-redis +cycler==0.12.1 \ + --hash=sha256:85cef7cff222d8644161529808465972e51340599459b8ac3ccbac5a854e0d30 \ + --hash=sha256:88bb128f02ba341da8ef447245a9e138fae777f6a23943da4540077d3601eb1c + # via matplotlib dask[dataframe]==2026.3.0 \ --hash=sha256:be614b9242b0b38288060fb2d7696125946469c98a1c30e174883fd199e0428d \ --hash=sha256:f7d96c8274e8a900d217c1ff6ea8d1bbf0b4c2c21e74a409644498d925eb8f85 # via feast (pyproject.toml) +databricks-sdk==0.109.0 \ + --hash=sha256:46745a25324a5b36f01236760e44fc6e2bce3f051224e6f8aef7633477fcbec8 \ + --hash=sha256:96b90f5ee2e0fac89f351aa77348263e1e0ed5d4d867cdfaefd2e0acc01b1e81 + # via + # mlflow-skinny + # mlflow-tracing datasets==4.8.5 \ --hash=sha256:0f0c1c3d56ffff2c93b2f4c63c95bac94f3d7e8621aea2a2a576275233bba772 \ --hash=sha256:5079900781719c0e063a8efdd2cd95a31ad0c63209178669cd23cf1b926149ff @@ -1027,9 +1132,9 @@ debugpy==1.8.20 \ --hash=sha256:eada6042ad88fa1571b74bd5402ee8b86eded7a8f7b827849761700aff171f1b \ --hash=sha256:eb506e45943cab2efb7c6eafdd65b842f3ae779f020c82221f55aca9de135ed7 # via ipykernel -decorator==5.2.1 \ - --hash=sha256:65f266143752f734b0a7cc83c46f4618af75b8c5911b00ccb61d0ac9b6da0360 \ - --hash=sha256:d316bb415a2d9e2d2b3abcc4084c6502fc09240e292cd76a76afc106a1c8e04a +decorator==5.3.1 \ + --hash=sha256:4cbcdd55a6efadb9dbea26b858f4fb3264567b52d69ca0d25b721b553f60ea82 \ + --hash=sha256:f47fe6fdbd2edd623ecfe36875d37aba411624e2670dd395dddae1358689bb3c # via ipython defusedxml==0.7.1 \ --hash=sha256:1bb3032db185915b62d7c6209c5a8792be6a32ab2fedacc84e01b52c51aa3e69 \ @@ -1074,14 +1179,16 @@ dnspython==2.8.0 \ docker==7.1.0 \ --hash=sha256:ad8c70e6e3f8926cb8a92619b832b4ea5299e2831c14284663184e200546fa6c \ --hash=sha256:c96b93b7f0a746f9e77d325bcfb87422a3d8bd4f03136ae8a85b37f1898d5fc0 - # via testcontainers + # via + # mlflow + # testcontainers docling==2.27.0 \ --hash=sha256:1288ed75b27e33bf94daff34faffc6d11b7d7ccc13e3df84fb24adad3991f72d \ --hash=sha256:faba35662612a2c687a3a463e501d95f645316436084af92a0442ce162429a3d # via feast (pyproject.toml) -docling-core[chunking]==2.75.0 \ - --hash=sha256:60f7bc4025f6511ba82eeb0aa677e756e9d3bf069d6f207c6ef2fb8be3176f32 \ - --hash=sha256:7961be3c3f58855324b081fce9e1231b892da7c61d6babbaf3d49c28387eb782 +docling-core[chunking]==2.76.0 \ + --hash=sha256:55af705c6d0755254afddb959fe5dea3a6d413d3ea7539e380bb008268806316 \ + --hash=sha256:e4f681ad434cb45ba93bd3afaab62c5d910bf9ac6b3fdb98b12ee2e476bb75a4 # via # docling # docling-ibm-models @@ -1226,6 +1333,7 @@ fastapi==0.136.1 \ # via # feast (pyproject.toml) # fastapi-mcp + # mlflow-skinny fastapi-mcp==0.4.0 \ --hash=sha256:d4a3fe7966af24d44e4b412720561c95eb12bed999a4443a88221834b3b15aec \ --hash=sha256:d4ca9410996f4c7b8ea0d7b20fdf79878dc359ebf89cbf3b222e0b675a55097d @@ -1249,6 +1357,68 @@ filetype==1.2.0 \ --hash=sha256:66b56cd6474bf41d8c54660347d37afcc3f7d1970648de365c102ef77548aadb \ --hash=sha256:7ce71b6880181241cf7ac8697a2f1eb6a8bd9b429f7ad6d27b8db9ba5f1c2d25 # via docling +flask==3.1.3 \ + --hash=sha256:0ef0e52b8a9cd932855379197dd8f94047b359ca0a78695144304cb45f87c9eb \ + --hash=sha256:f4bcbefc124291925f1a26446da31a5178f9483862233b23c0c96a20701f670c + # via + # flask-cors + # mlflow +flask-cors==6.0.2 \ + --hash=sha256:6e118f3698249ae33e429760db98ce032a8bf9913638d085ca0f4c5534ad2423 \ + --hash=sha256:e57544d415dfd7da89a9564e1e3a9e515042df76e12130641ca6f3f2f03b699a + # via mlflow +fonttools==4.63.0 \ + --hash=sha256:032038247a96c1690f9f31e377c389383c902531b085aa4e4dabd6f57f870e69 \ + --hash=sha256:063e08bd17bd5a90127a14123de0d6a952dbc847695fd98b63c043d58057f90c \ + --hash=sha256:0c18358a155d75034911c5ee397a5b44cd19dd325dbb8b35fb60bf421d6a72ac \ + --hash=sha256:0eac00b9118c3c2f87d272e45341871c5b3066baa3c86897fa634a7c3fb59096 \ + --hash=sha256:1e874792a8212b44583ea02189d9e693906b2f78b261f372f95d6c563210ac1d \ + --hash=sha256:22135da48a348785c5e2d5d2d9d6bec5ed44adacbaeb9db12d9493bf6c6bfa68 \ + --hash=sha256:22693918177bd9ceabec4736d338045f357769416fc6b0b2508eefef75b08616 \ + --hash=sha256:27fdc65af8da6f88b9c6121c47a464cbe359fcfff7ff6fc2d37a1f395d755b78 \ + --hash=sha256:2b8ae05d9eacf6081414d759c0a352769ac28ce31280d6bb8e77b03f9e3c449f \ + --hash=sha256:2c14b4fd138c4bafcca294765c547914e1aa431ae1ca94ab99d8db08c958bd3b \ + --hash=sha256:308f957cdeaf8abe4e5f2f124902ef405448af92c90f80e302a3b771c2e6116b \ + --hash=sha256:37dd23e621e3b0aef1baa70a303b80aaf38449632cfc8fd2a55fb285bbccfc02 \ + --hash=sha256:445af2eab030a16b9171ea8bdda7ebf7d96bda2df88ee182a464252f6e05e20d \ + --hash=sha256:51394295f1a51de8b5f30bdb1e1b9a4231536c7064ef5c6e211eec19fa36036f \ + --hash=sha256:58dc6bb86a78d782f00f9190ca02c119cf5bbe2807536e361e18d42019f877d8 \ + --hash=sha256:59ac449f8cca9b4ffa08d2e7bbadad87ce710d69d1eda5c3c1ce579baa987272 \ + --hash=sha256:6b2248c5decb223562f7902ff6325077a073f608ee8e33e88ad88db734eb9f49 \ + --hash=sha256:6d4741eb179121cab9eea4cb2393d24492373a260d7945006358c08cfbf45419 \ + --hash=sha256:6db5140a60a5d731d21ec076745b40a310607731b0a565b50776393188649001 \ + --hash=sha256:6e528da43bc3791085f8cb6141b1d13e459226790240340fcbb4625649238b03 \ + --hash=sha256:796f27556dbe094c4824f75ca85267e4df776c79036c8441469a4df37038c196 \ + --hash=sha256:79cdc9f567aec74a72918fd060283911406750cbc9fd28c1316023deb6ce31a9 \ + --hash=sha256:7d76edbff9014094dbf03bd2d074709dfa6ec7aba13d838c937a2b33d2d6a86e \ + --hash=sha256:7d782fac32985914c351556f68ac0855391572bcd87de50e05970d3cd4c96fc5 \ + --hash=sha256:7dd683fef0663e9f0f45cf541d788d24caa3ec9db50796b588e1757d8b3bc007 \ + --hash=sha256:85be818f5506e8a7753153def2c9550178f0ecae6a47b5e0e8dbb23f7cc90380 \ + --hash=sha256:948428a275741f0b64b113c955425a953314f4b9ab9997f73a72c83e68e569c8 \ + --hash=sha256:9ced0bd02ac751dd6319b0da88aaef24414e3b0dbc32bb4f24944821a3741a27 \ + --hash=sha256:9e12f105d2b6342c559c298afb674006bb2893afc7102dcf8a1b55b0486b4e40 \ + --hash=sha256:a8b33a82979e0a6a34ff435cc81317be1f95ec1ebb7a3a2d1c8a6a54f02ae44e \ + --hash=sha256:a9faff9e0c1f76f9fd55899d2ce785832efebab37eb8ae13995853aef178bef0 \ + --hash=sha256:af2fd1664d00a397d75f806985ddb36282091c2131a73a6485c23b4a34722263 \ + --hash=sha256:afefc1ed0a59785a7fb06ea7e1678e849c193e1e387db783579bc7b3056fcfcb \ + --hash=sha256:b1cd75a03ad8cb5bc40c90bfde68c0c47de423aa19e5c0f362b43520645eea94 \ + --hash=sha256:ba04cb5891d4c0c21b6da95eda8d7b090021508a294fff33464fc7d241e0856b \ + --hash=sha256:bf00f21eb5fb721dbaf73d1e9da6d02a1af7768f2ebcf9798be98beab8ba90f6 \ + --hash=sha256:c0425b277a59cff3d80ca42162a8de360f318438a2ac83570842a678d826d579 \ + --hash=sha256:c1aaa4b9c75798400ac043ce04d74e7830376c85095a5a6ed7cba2f17a266bf4 \ + --hash=sha256:c2a2a42198b696a6f48fad91709afb55176e66a5e566131219dba372fb7f8c59 \ + --hash=sha256:caeb583deeb5168e694b65cda8b4ee62abedfa66cf88488734466f2366b9c4e0 \ + --hash=sha256:cb014d58140a38135f16064c74c652ed57aa0b75cbf8bb59cac821f7edb5334e \ + --hash=sha256:ccf41f2efdf56994d22d73bef4ced1052161958169428d06ba9724ea9e9a64be \ + --hash=sha256:cd7e9857e5e63738b9d9fd707bc1f59c8b09e5177726d23664db393c59bb08bd \ + --hash=sha256:d76ac49f929aecaf82d83250b8347e099d7aecba0f4726c1d9b6df3b8bb5fe18 \ + --hash=sha256:d7e5c9973aa04c95650c96e5f5ad865fbf42d62079163ecfab1e01cbc2504c22 \ + --hash=sha256:dcf076a4474fe0d7367e5bbf5b052c7284fa1feca729c04176ce513521afd8a0 \ + --hash=sha256:e3297a6a4059b4acc3a1e9a8b04741f240a80044eef08ebd32e8b5bcdddce75b \ + --hash=sha256:ee08ebfa58f6e1aeff5697ab9582105bb620008c1caafb681e4c557e7483027b \ + --hash=sha256:ef3048ef05dbb552b89817713d9cac912e00d0fde4a3105c00d29e52e10c89af \ + --hash=sha256:fd1e3094f42d806d3d7c79162fc59e5910fcbe3a7360c385b8da969bc4493745 + # via matplotlib fqdn==1.5.1 \ --hash=sha256:105ed3677e767fb5ca086a0c1f4bb66ebc3c100be518f0e0d755d9eae164d89f \ --hash=sha256:3a179af3761e4df6eb2e026ff9e1a3033d3587bf980a0b1b2e1e5d08d7358014 @@ -1401,6 +1571,14 @@ geomet==1.1.0 \ --hash=sha256:4372fe4e286a34acc6f2e9308284850bd8c4aa5bc12065e2abbd4995900db12f \ --hash=sha256:51e92231a0ef6aaa63ac20c443377ba78a303fd2ecd179dc3567de79f3c11605 # via cassandra-driver +gitdb==4.0.12 \ + --hash=sha256:5ef71f855d191a3326fcfbc0d5da835f26b13fbcba60c32c21091c349ffdb571 \ + --hash=sha256:67073e15955400952c6565cc3e707c554a4eea2e428946f7a4c162fab9bd9bcf + # via gitpython +gitpython==3.1.50 \ + --hash=sha256:80da2d12504d52e1f998772dc5baf6e553f8d2fcfe1fcc226c9d9a2ee3372dcc \ + --hash=sha256:d352abe2908d07355014abdd21ddf798c2a961469239afec4962e9da884858f9 + # via mlflow-skinny google-api-core[grpc]==2.30.3 \ --hash=sha256:a85761ba72c444dad5d611c2220633480b2b6be2521eca69cca2dbb3ffd6bfe8 \ --hash=sha256:e601a37f148585319b26db36e219df68c5d07b6382cff2d580e83404e44d641b @@ -1414,10 +1592,11 @@ google-api-core[grpc]==2.30.3 \ # google-cloud-storage # opencensus # pandas-gbq -google-auth==2.52.0 \ - --hash=sha256:01f30e1a9e3638698d89464f5e603ce29d18e1c0e63ec31ac570aba4e164aaf5 \ - --hash=sha256:aee92803ba0ff93a70a3b8a35c7b4797837751cd6380b63ff38372b98f3ed627 +google-auth==2.53.0 \ + --hash=sha256:6e7449917c599b35126a99ec268ec6880301f2fea41dce198fe8fd83ff642b68 \ + --hash=sha256:e7e6aa16f6bee7b2b264830fd04f08087a1d5a836df516251a5d15327b246c9c # via + # databricks-sdk # google-api-core # google-auth-oauthlib # google-cloud-bigquery @@ -1516,6 +1695,20 @@ googleapis-common-protos[grpc]==1.75.0 \ # google-api-core # grpc-google-iam-v1 # grpcio-status +graphene==3.4.3 \ + --hash=sha256:2a3786948ce75fe7e078443d37f609cbe5bb36ad8d6b828740ad3b95ed1a0aaa \ + --hash=sha256:820db6289754c181007a150db1f7fff544b94142b556d12e3ebc777a7bf36c71 + # via mlflow +graphql-core==3.2.8 \ + --hash=sha256:015457da5d996c924ddf57a43f4e959b0b94fb695b85ed4c29446e508ed65cf3 \ + --hash=sha256:cbee07bee1b3ed5e531723685369039f32ff815ef60166686e0162f540f1520c + # via + # graphene + # graphql-relay +graphql-relay==3.2.0 \ + --hash=sha256:1ff1c51298356e481a0be009ccdff249832ce53f30559c1338f22a0e0d17250c \ + --hash=sha256:c9b22bd28b170ba1fe674c74384a8ff30a76c8e26f88ac3aa1584dd3179953e5 + # via graphene great-expectations==0.18.8 \ --hash=sha256:ab41cfa3de829a4f77bdcd4a23244684cbb67fdacc734d38910164cd02ec95b6 \ --hash=sha256:c1205bede593f679e22e0b3826d6ae1623c439cafd553f9f0bc2b0fd441f6ed9 @@ -1662,11 +1855,12 @@ grpcio-tools==1.62.3 \ --hash=sha256:f4b1615adf67bd8bb71f3464146a6f9949972d06d21a4f5e87e73f6464d97f57 \ --hash=sha256:f6831fdec2b853c9daa3358535c55eed3694325889aa714070528cf8f92d7d6d # via feast (pyproject.toml) -gunicorn==26.0.0 \ - --hash=sha256:40233d26a5f0d1872916188c276e21641155111c2853f0c2cd55260aec0d24fc \ - --hash=sha256:ca9346f85e3a4aeeb64d491045c16b9a35647abd37ea15efe53080eb8b090baf +gunicorn==25.3.0 \ + --hash=sha256:cacea387dab08cd6776501621c295a904fe8e3b7aae9a1a3cbb26f4e7ed54660 \ + --hash=sha256:f74e1b2f9f76f6cd1ca01198968bd2dd65830edc24b6e8e4d78de8320e2fe889 # via # feast (pyproject.toml) + # mlflow # uvicorn-worker h11==0.16.0 \ --hash=sha256:4e35b956cf45792e4caa5885e69fba00bdbc6ffafbfa020300e549b208ee5ff1 \ @@ -1889,6 +2083,10 @@ httpx-sse==0.4.3 \ --hash=sha256:0ac1c9fe3c0afad2e0ebb25a934a59f4c7823b60792691f779fad2c5568830fc \ --hash=sha256:9b1ed0127459a66014aec3c56bebd93da3c1bc8bb6618c8082039a44889a755d # via mcp +huey==2.6.0 \ + --hash=sha256:1b9df9d370b49c6d5721ba8a01ac9a787cf86b3bdc584e4679de27b920395c3f \ + --hash=sha256:8d11f8688999d65266af1425b831f6e3773e99415027177b8734b0ffd5e251f6 + # via mlflow huggingface-hub==0.36.2 \ --hash=sha256:1934304d2fb224f8afa3b87007d58501acfda9215b334eed53072dd5e815ff7a \ --hash=sha256:48f0c8eac16145dfce371e9d2d7772854a4f591bcb56c9cf548accf531d54270 @@ -1936,6 +2134,7 @@ importlib-metadata==8.7.1 \ --hash=sha256:5a1f80bf1daa489495071efbb095d75a634cf28a8bc299581244063b53176151 # via # dask + # mlflow-skinny # opentelemetry-api importlib-resources==7.1.0 \ --hash=sha256:0722d4c6212489c530f2a145a34c0a7a3b4721bc96a15fada5930e2a0b760708 \ @@ -1978,6 +2177,10 @@ isoduration==20.11.0 \ --hash=sha256:ac2f9015137935279eac671f94f89eb00584f940f5dc49462a0c4ee692ba1bd9 \ --hash=sha256:b2904c2a4228c3d44f409c8ae8e2370eb21a26f7ac2ec5446df141dde3452042 # via jsonschema +itsdangerous==2.2.0 \ + --hash=sha256:c6242fc49e35958c8b15141343aa660db5fc54d4f13a1db01a3f5891b98700ef \ + --hash=sha256:e0050c0b7da1eea53ffaf149c0cfbb5c6e2e2b69c4bef22c81fa6eb73e5f6173 + # via flask jedi==0.20.0 \ --hash=sha256:7bdd9c2634f56713299976f4cbd59cb3fa92165cc5e05ea811fb253480728b67 \ --hash=sha256:c3f4ccbd276696f4b19c54618d4fb18f9fc24b0aef02acf704b23f487daa1011 @@ -1988,6 +2191,7 @@ jinja2==3.1.6 \ # via # feast (pyproject.toml) # altair + # flask # great-expectations # jupyter-server # jupyterlab @@ -2107,6 +2311,125 @@ jwcrypto==1.5.7 \ --hash=sha256:70204d7cca406eda8c82352e3c41ba2d946610dafd19e54403f0a1f4f18633c6 \ --hash=sha256:729463fefe28b6de5cf1ebfda3e94f1a1b41d2799148ef98a01cb9678ebe2bb0 # via python-keycloak +kiwisolver==1.5.0 \ + --hash=sha256:012b1eb16e28718fa782b5e61dc6f2da1f0792ca73bd05d54de6cb9561665fc9 \ + --hash=sha256:01808c6d15f4c3e8559595d6d1fe6411c68e4a3822b4b9972b44473b24f4e679 \ + --hash=sha256:0255a027391d52944eae1dbb5d4cc5903f57092f3674e8e544cdd2622826b3f0 \ + --hash=sha256:0b85aad90cea8ac6797a53b5d5f2e967334fa4d1149f031c4537569972596cb8 \ + --hash=sha256:0bf3acf1419fa93064a4c2189ac0b58e3be7872bf6ee6177b0d4c63dc4cea276 \ + --hash=sha256:0c50b89ffd3e1a911c69a1dd3de7173c0cd10b130f56222e57898683841e4f96 \ + --hash=sha256:0cbe94b69b819209a62cb27bdfa5dc2a8977d8de2f89dfd97ba4f53ed3af754e \ + --hash=sha256:0df54df7e686afa55e6f21fb86195224a6d9beb71d637e8d7920c95cf0f89aac \ + --hash=sha256:0e3aafb33aed7479377e5e9a82e9d4bf87063741fc99fc7ae48b0f16e32bdd6f \ + --hash=sha256:12e91c215a96e39f57989c8912ae761286ac5a9584d04030ceb3368a357f017a \ + --hash=sha256:1465387ac63576c3e125e5337a6892b9e99e0627d52317f3ca79e6930d889d15 \ + --hash=sha256:16b85d37c2cbb3253226d26e64663f755d88a03439a9c47df6246b35defbdfb7 \ + --hash=sha256:1b0feb50971481a2cc44d94e88bdb02cdd497618252ae226b8eb1201b957e368 \ + --hash=sha256:1d49a49ac4cbfb7c1375301cd1ec90169dfeae55ff84710d782260ce77a75a02 \ + --hash=sha256:1d9daea4ea6b9be74fe2f01f7fbade8d6ffab263e781274cffca0dba9be9eec9 \ + --hash=sha256:1dd9b0b119a350976a6d781e7278ec7aca0b201e1a9e2d23d9804afecb6ca681 \ + --hash=sha256:1f1489f769582498610e015a8ef2d36f28f505ab3096d0e16b4858a9ec214f57 \ + --hash=sha256:2517e24d7315eb51c10664cdb865195df38ab74456c677df67bb47f12d088a27 \ + --hash=sha256:295d9ffe712caa9f8a3081de8d32fc60191b4b51c76f02f951fd8407253528f4 \ + --hash=sha256:2a075bd7bd19c70cf67c8badfa36cf7c5d8de3c9ddb8420c51e10d9c50e94920 \ + --hash=sha256:32cc0a5365239a6ea0c6ed461e8838d053b57e397443c0ca894dcc8e388d4374 \ + --hash=sha256:332b4f0145c30b5f5ad9374881133e5aa64320428a57c2c2b61e9d891a51c2f3 \ + --hash=sha256:377815a8616074cabbf3f53354e1d040c35815a134e01d7614b7692e4bf8acfa \ + --hash=sha256:38f4a703656f493b0ad185211ccfca7f0386120f022066b018eb5296d8613e23 \ + --hash=sha256:3ac2360e93cb41be81121755c6462cff3beaa9967188c866e5fce5cf13170859 \ + 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--hash=sha256:ce9bf03dad3b46408c08649c6fbd6ca28a9fce0eb32fdfffa6775a13103b5310 \ + --hash=sha256:cff8e5383db4989311f99e814feeb90c4723eb4edca425b9d5d9c3fefcdd9537 \ + --hash=sha256:d168fda2dbff7b9b5f38e693182d792a938c31db4dac3a80a4888de603c99554 \ + --hash=sha256:d1ffeb80b5676463d7a7d56acbe8e37a20ce725570e09549fe738e02ca6b7e1e \ + --hash=sha256:d36ca54cb4c6c4686f7cbb7b817f66f5911c12ddb519450bbe86707155028f87 \ + --hash=sha256:d4193f3d9dc3f6f79aaed0e5637f45d98850ebf01f7ca20e69457f3e8946b66a \ + --hash=sha256:d5cd5189fc2b6a538b75ae45433140c4823463918f7b1617c31e68b085c0022c \ + --hash=sha256:d618fd27420381a4f6044faa71f46d8bfd911bd077c555f7138ed88729bfbe79 \ + --hash=sha256:d76e2d8c75051d58177e762164d2e9ab92886534e3a12e795f103524f221dd8e \ + --hash=sha256:daae526907e262de627d8f70058a0f64acc9e2641c164c99c8f594b34a799a16 \ + --hash=sha256:db485b3847d182b908b483b2ed133c66d88d49cacf98fd278fadafe11b4478d1 \ + --hash=sha256:dd952e03bfbb096cfe2dd35cd9e00f269969b67536cb4370994afc20ff2d0875 \ + --hash=sha256:dda366d548e89a90d88a86c692377d18d8bd64b39c1fb2b92cb31370e2896bbd \ + --hash=sha256:e315e5ec90d88e140f57696ff85b484ff68bb311e36f2c414aa4286293e6dee0 \ + --hash=sha256:e4415a8db000bf49a6dd1c478bf70062eaacff0f462b92b0ba68791a905861f9 \ + --hash=sha256:e7a116ae737f0000343218c4edf5bd45893bfeaff0993c0b215d7124c9f77646 \ + --hash=sha256:e7c4c09a490dc4d4a7f8cbee56c606a320f9dc28cf92a7157a39d1ce7676a657 \ + --hash=sha256:ebae99ed6764f2b5771c522477b311be313e8841d2e0376db2b10922daebbba4 \ + --hash=sha256:ec4c85dc4b687c7f7f15f553ff26a98bfe8c58f5f7f0ac8905f0ba4c7be60232 \ + --hash=sha256:ed3a984b31da7481b103f68776f7128a89ef26ed40f4dc41a2223cda7fb24819 \ + --hash=sha256:f18c2d9782259a6dc132fdc7a63c168cbc74b35284b6d75c673958982a378384 \ + --hash=sha256:f1f9f4121ec58628c96baa3de1a55a4e3a333c5102c8e94b64e23bf7b2083309 \ + --hash=sha256:f42c23db5d1521218a3276bb08666dcb662896a0be7347cba864eca45ff64ede \ + --hash=sha256:f443b4825c50a51ee68585522ab4a1d1257fac65896f282b4c6763337ac9f5d2 \ + --hash=sha256:f6764a4ccab3078db14a632420930f6186058750df066b8ea2a7106df91d3203 \ + --hash=sha256:f7c7553b13f69c1b29a5bde08ddc6d9d0c8bfb84f9ed01c30db25944aeb852a7 \ + --hash=sha256:fa6248cd194edff41d7ea9425ced8ca3a6f838bfb295f6f1d6e6bb694a8518df \ + --hash=sha256:fa8eb9ecdb7efb0b226acec134e0d709e87a909fa4971a54c0c4f6e88635484c \ + --hash=sha256:fc20894c3d21194d8041a28b65622d5b86db786da6e3cfe73f0c762951a61167 \ + --hash=sha256:fc4d3f1fb9ca0ae9f97b095963bc6326f1dbfd3779d6679a1e016b9baaa153d3 \ + --hash=sha256:fd40bb9cd0891c4c3cb1ddf83f8bbfa15731a248fdc8162669405451e2724b09 \ + --hash=sha256:ff710414307fefa903e0d9bdf300972f892c23477829f49504e59834f4195398 + # via matplotlib kube-authkit==0.4.0 \ --hash=sha256:1df61ac392fca96c8f5ae8c3d6e9918f1e1655d212434b3c3da5f92cc23b660d \ --hash=sha256:3bf5fc6ddc882498040118c907628ea68789f9a947454c241972008be59601a3 @@ -2336,6 +2659,10 @@ makefun==1.16.0 \ --hash=sha256:43baa4c3e7ae2b17de9ceac20b669e9a67ceeadff31581007cca20a07bbe42c4 \ --hash=sha256:e14601831570bff1f6d7e68828bcd30d2f5856f24bad5de0ccb22921ceebc947 # via great-expectations +mako==1.3.12 \ + --hash=sha256:8f61569480282dbf557145ce441e4ba888be453c30989f879f0d652e39f53ea9 \ + --hash=sha256:9f778e93289bd410bb35daadeb4fc66d95a746f0b75777b942088b7fd7af550a + # via alembic markdown-it-py==4.2.0 \ --hash=sha256:04a21681d6fbb623de53f6f364d352309d4094dd4194040a10fd51833e418d49 \ --hash=sha256:9f7ebbcd14fe59494226453aed97c1070d83f8d24b6fc3a3bcf9a38092641c4a @@ -2435,13 +2762,72 @@ markupsafe==3.0.3 \ --hash=sha256:f9e130248f4462aaa8e2552d547f36ddadbeaa573879158d721bbd33dfe4743a \ --hash=sha256:fed51ac40f757d41b7c48425901843666a6677e3e8eb0abcff09e4ba6e664f50 # via + # flask # jinja2 + # mako # nbconvert # werkzeug marshmallow==3.26.2 \ --hash=sha256:013fa8a3c4c276c24d26d84ce934dc964e2aa794345a0f8c7e5a7191482c8a73 \ --hash=sha256:bbe2adb5a03e6e3571b573f42527c6fe926e17467833660bebd11593ab8dfd57 # via great-expectations +matplotlib==3.10.9 \ + --hash=sha256:09218df8a93712bd6ea133e83a153c755448cf7868316c531cffcc43f69d1cc9 \ + --hash=sha256:10cc5ce06d10231c36f40e875f3c7e8050362a4ee8f0ee5d29a6b3277d57bb42 \ + --hash=sha256:172db52c9e683f5d12eaf57f0f54834190e12581fe1cc2a19595a8f5acb4e77d \ + --hash=sha256:1872fb212a05b729e649754a72d5da61d03e0554d76e80303b6f83d1d2c0552b \ + --hash=sha256:1aa972116abb4c9d201bf245620b433726cb6856f3bef6a78f776a00f5c92d37 \ + --hash=sha256:1e7698ac9868428e84d2c967424803b2472ff7167d9d6590d4204ed775343c3b \ + --hash=sha256:2dc9477819ffd78ad12a20df1d9d6a6bd4fec6aaa9072681465fddca052f1456 \ + --hash=sha256:3225f4e1edcb8c86c884ddf79ebe20ecd0a67d30188f279897554ccd8fded4dc \ + --hash=sha256:336b9acc64d309063126edcdaca00db9373af3c476bb94388fe9c5a53ad13e6f \ + --hash=sha256:345f6f68ecc8da0ca56fad2ea08fde1a115eda530079eca185d50a7bc3e146c6 \ + --hash=sha256:34cf8167e023ad956c15f36302911d5406bd99a9862c1a8499ea6f7c0e015dc2 \ + --hash=sha256:3fc0364dfbe1d07f6d15c5ebd0c5bf89e126916e5a8667dd4a7a6e84c36653d4 \ + --hash=sha256:41cb28c2bd769aa3e98322c6ab09854cbcc52ab69d2759d681bba3e327b2b320 \ + --hash=sha256:42fb814efabe95c06c1994d8ab5a8385f43a249e23badd3ba931d4308e5bca20 \ + --hash=sha256:4e42042d54db34fda4e95a7bd3e5789c2a995d2dad3eb8850232ee534092fbbf \ + --hash=sha256:4edcfbd8565339aa62f1cd4012f7180926fdbe71850f7b0d3c379c175cd6b66c \ + --hash=sha256:51bf0ddbdc598e060d46c16b5590708f81a1624cefbaaf62f6a81bf9285b8c80 \ + --hash=sha256:56fc0bd271b00025c6edfdc7c2dcd247372c8e1544971d62e1dc7c17367e8bf9 \ + --hash=sha256:59476c6d29d612b8e9bb6ce8c5b631be6ba8f9e3a2421f22a02b192c7dd28716 \ + --hash=sha256:6640f75af2c6148293caa0a2b39dd806a492dd66c8a8b04035813e33d0fd2585 \ + --hash=sha256:68cfdcede415f7c8f5577b03303dd94526cdb6d11036cecdc205e08733b2d2bb \ + --hash=sha256:6b63d9c7c769b88ab81e10dc86e4e0607cf56817b9f9e6cf24b2a5f1693b8e38 \ + --hash=sha256:6be157fe17fc37cb95ac1d7374cf717ce9259616edec911a78d9d26dae8522d4 \ + --hash=sha256:6c63ebcd8b4b169eb2f5c200552ae6b8be8999a005b6b507ed76fb8d7d674fe2 \ + --hash=sha256:77210dce9cb8153dffc967efaae990543392563d5a376d4dd8539bebcb0ed217 \ + --hash=sha256:7a8d66a55def891c33147ba3ba9bfcabf0b526a43764c818acbb4525e5ed0838 \ + --hash=sha256:82368699727bfb7b0182e1aa13082e3c08e092fa1a25d3e1fd92405bff96f6d4 \ + --hash=sha256:82834c3c292d24d3a8aae77cd2d20019de69d692a34a970e4fdb8d33e2ea3dda \ + --hash=sha256:8e436d155fa8a3399dc62683f8f5d0e2e50d25d0144a73edd73f82eec8f4abfb \ + --hash=sha256:8f3bcac1ca5ed000a6f4337d47ba67dfddf37ed6a46c15fd7f014997f7bf865f \ + --hash=sha256:97e35e8d39ccc85859095e01a53847432ba9a53ddf7986f7a54a11b73d0e143f \ + --hash=sha256:985f2238880e2e69093f588f5fe2e46771747febf0649f3cf7f7b7480875317f \ + --hash=sha256:a49f1eadc84ca85fd72fa4e89e70e61bf86452df6f971af04b12c60761a0772c \ + --hash=sha256:a5a6104ed666402ba5106d7f36e0e0cdca4e8d7fa4d39708ca88019e2835a2eb \ + --hash=sha256:aba1615dabe83188e19d4f75a253c6a08423e04c1425e64039f800050a69de6b \ + --hash=sha256:ae20801130378b82d647ff5047c07316295b68dc054ca6b3c13519d0ea624285 \ + --hash=sha256:ae2f11957b27ce53497dd4d7b235c4d4f1faf383dfb39d0c5beb833bff883294 \ + --hash=sha256:b049278ddce116aaa1c1377ebf58adea909132dfce0281cf7e3a1ea9fc2e2c65 \ + --hash=sha256:b1b745c489cd1a77a0dc1120a05dc87af9798faebc913601feb8c73d89bf2d1e \ + --hash=sha256:b2b9516251cb89ff618d757daec0e2ed1bf21248013844a853d87ef85ab3081d \ + --hash=sha256:b580440f1ff81a0e34122051a3dfabb7e4b7f9e380629929bde0eff9af72165f \ + --hash=sha256:ba7b3b8ef09eab7df0e86e9ae086faa433efbfbdb46afcb3aa16aabf779469a8 \ + --hash=sha256:c27df8b3848f32a83d1767566595e43cfaa4460380974da06f4279a7ec143c39 \ + --hash=sha256:d091f9d758b34aaaaa6331d13574bf01891d903b3dec59bfff458ef7551de5d6 \ + --hash=sha256:d730e984eddf56974c3e72b6129c7ca462ac38dc624338f4b0b23eb23ecba00f \ + --hash=sha256:d75d11c949914165976c621b2324f9ef162af7ebf4b057ddf95dd1dba7e5edcf \ + --hash=sha256:d843374407c4017a6403b59c6c81606773d136f3259d5b6da3131bc814542cc2 \ + --hash=sha256:da4e09638420548f31c354032a6250e473c68e5a4e96899b4844cf39ddea23fe \ + --hash=sha256:de2445a0c6690d21b7eb6ce071cebad6d40a2e9bdf10d039074a96ba19797b99 \ + --hash=sha256:dfca0129678bd56379db26c52b5d77ed7de314c047492fbdc763aa7501710cfb \ + --hash=sha256:e9fae004b941b23ff2edcf1567a857ed77bafc8086ffa258190462328434faf8 \ + --hash=sha256:f0c3c28d9fbcc1fe7a03be236d73430cf6409c41fb2383a7ac52fe932b072cb1 \ + --hash=sha256:f4399f64b3e94cd500195490972ae1ee81170df1636fa15364d157d5bdd7b921 \ + --hash=sha256:f76e640a5268850bfda54b5131b1b1941cc685e42c5fa98ed9f2d64038308cba \ + --hash=sha256:fd66508e8c6877d98e586654b608a0456db8d7e8a546eb1e2600efd957302358 + # via mlflow matplotlib-inline==0.2.2 \ --hash=sha256:3c821cf1c209f59fb2d2d64abbf5b23b67bcb2210d663f9918dd851c6da1fcf6 \ --hash=sha256:72f3fe8fce36b70d4a5b612f899090cd0401deddc4ea90e1572b9f4bfb058c79 @@ -2474,6 +2860,18 @@ mistune==3.2.1 \ # via # great-expectations # nbconvert +mlflow==3.12.0 \ + --hash=sha256:227ee31c6abf7ae3b3c38d4ca87c356e107578740c1efee89da43f2a5b9e3b47 \ + --hash=sha256:e1c28ed4c48557cc52c766f17f1ca5826753ddf241d43f30f99c45f7ea6b3ce0 + # via feast (pyproject.toml) +mlflow-skinny==3.12.0 \ + --hash=sha256:0498f3697abcabcc6204c432ef179840f6a7a34ce123837c98c1913064fda6dd \ + --hash=sha256:74d27066bc9553d281e0c31d25f07deb39dbe99d190e4f7c257703e5c8ee6d10 + # via mlflow +mlflow-tracing==3.12.0 \ + --hash=sha256:8702a34a1d4f1517ba904d716f5a8fca4675e6526f7d164d02bdaabececa2d80 \ + --hash=sha256:c6072553f47b42505dc7ee62946688a4a0dde8f06b78fbc60e946397b20e1518 + # via mlflow mmh3==5.2.1 \ --hash=sha256:022aa1a528604e6c83d0a7705fdef0b5355d897a9e0fa3a8d26709ceaa06965d \ --hash=sha256:0634581290e6714c068f4aa24020acf7880927d1f0084fa753d9799ae9610082 \ @@ -2944,83 +3342,84 @@ notebook-shim==0.2.4 \ # via # jupyterlab # notebook -numpy==2.4.4 \ - --hash=sha256:07077278157d02f65c43b1b26a3886bce886f95d20aabd11f87932750dfb14ed \ - --hash=sha256:08f2e31ed5e6f04b118e49821397f12767934cfdd12a1ce86a058f91e004ee50 \ - --hash=sha256:0aec54fd785890ecca25a6003fd9a5aed47ad607bbac5cd64f836ad8666f4959 \ - --hash=sha256:0d35aea54ad1d420c812bfa0385c71cd7cc5bcf7c65fed95fc2cd02fe8c79827 \ - --hash=sha256:0d4e437e295f18ec29bc79daf55e8a47a9113df44d66f702f02a293d93a2d6dd \ - --hash=sha256:0dfd3f9d3adbe2920b68b5cd3d51444e13a10792ec7154cd0a2f6e74d4ab3233 \ - --hash=sha256:1378871da56ca8943c2ba674530924bb8ca40cd228358a3b5f302ad60cf875fc \ - --hash=sha256:15716cfef24d3a9762e3acdf87e27f58dc823d1348f765bbea6bef8c639bfa1b \ - --hash=sha256:19710a9ca9992d7174e9c52f643d4272dcd1558c5f7af7f6f8190f633bd651a7 \ - --hash=sha256:23cbfd4c17357c81021f21540da84ee282b9c8fba38a03b7b9d09ba6b951421e \ - --hash=sha256:2483e4584a1cb3092da4470b38866634bafb223cbcd551ee047633fd2584599a \ - --hash=sha256:27a8d92cd10f1382a67d7cf4db7ce18341b66438bdd9f691d7b0e48d104c2a9d \ - --hash=sha256:28a650663f7314afc3e6ec620f44f333c386aad9f6fc472030865dc0ebb26ee3 \ - --hash=sha256:2aa0613a5177c264ff5921051a5719d20095ea586ca88cc802c5c218d1c67d3e \ - --hash=sha256:2c194dd721e54ecad9ad387c1d35e63dce5c4450c6dc7dd5611283dda239aabb \ - --hash=sha256:2d19e6e2095506d1736b7d80595e0f252d76b89f5e715c35e06e937679ea7d7a \ - --hash=sha256:2d390634c5182175533585cc89f3608a4682ccb173cc9bb940b2881c8d6f8fa0 \ - --hash=sha256:30caa73029a225b2d40d9fae193e008e24b2026b7ee1a867b7ee8d96ca1a448e \ - --hash=sha256:42c16925aa5a02362f986765f9ebabf20de75cdefdca827d14315c568dcab113 \ - --hash=sha256:45dbed2ab436a9e826e302fcdcbe9133f9b0006e5af7168afb8963a6520da103 \ - --hash=sha256:4636de7fd195197b7535f231b5de9e4b36d2c440b6e566d2e4e4746e6af0ca93 \ - --hash=sha256:4a19d9dba1a76618dd86b164d608566f393f8ec6ac7c44f0cc879011c45e65af \ - --hash=sha256:4bbc7f303d125971f60ec0aaad5e12c62d0d2c925f0ab1273debd0e4ba37aba5 \ - --hash=sha256:4d6d57903571f86180eb98f8f0c839fa9ebbfb031356d87f1361be91e433f5b7 \ - --hash=sha256:4e874c976154687c1f71715b034739b45c7711bec81db01914770373d125e392 \ - --hash=sha256:51fc224f7ca4d92656d5a5eb315f12eb5fe2c97a66249aa7b5f562528a3be38c \ - --hash=sha256:58c8b5929fcb8287cbd6f0a3fae19c6e03a5c48402ae792962ac465224a629a4 \ - --hash=sha256:5a285b3b96f951841799528cd1f4f01cd70e7e0204b4abebac9463eecfcf2a40 \ - --hash=sha256:5c70f1cc1c4efbe316a572e2d8b9b9cc44e89b95f79ca3331553fbb63716e2bf \ - --hash=sha256:62d6b0f03b694173f9fcb1fb317f7222fd0b0b103e784c6549f5e53a27718c44 \ - --hash=sha256:6a246d5914aa1c820c9443ddcee9c02bec3e203b0c080349533fae17727dfd1b \ - --hash=sha256:6aa3236c78803afbcb255045fbef97a9e25a1f6c9888357d205ddc42f4d6eba5 \ - --hash=sha256:6bbe4eb67390b0a0265a2c25458f6b90a409d5d069f1041e6aff1e27e3d9a79e \ - --hash=sha256:715d1c092715954784bc79e1174fc2a90093dc4dc84ea15eb14dad8abdcdeb74 \ - --hash=sha256:72944b19f2324114e9dc86a159787333b77874143efcf89a5167ef83cfee8af0 \ - --hash=sha256:81f4a14bee47aec54f883e0cad2d73986640c1590eb9bfaaba7ad17394481e6e \ - --hash=sha256:846300f379b5b12cc769334464656bc882e0735d27d9726568bc932fdc49d5ec \ - --hash=sha256:86b6f55f5a352b48d7fbfd2dbc3d5b780b2d79f4d3c121f33eb6efb22e9a2015 \ - --hash=sha256:874f200b2a981c647340f841730fc3a2b54c9d940566a3c4149099591e2c4c3d \ - --hash=sha256:8a87ec22c87be071b6bdbd27920b129b94f2fc964358ce38f3822635a3e2e03d \ - --hash=sha256:8b3b60bb7cba2c8c81837661c488637eee696f59a877788a396d33150c35d842 \ - --hash=sha256:8e3ed142f2728df44263aaf5fb1f5b0b99f4070c553a0d7f033be65338329150 \ - --hash=sha256:93e15038125dc1e5345d9b5b68aa7f996ec33b98118d18c6ca0d0b7d6198b7e8 \ - --hash=sha256:989824e9faf85f96ec9c7761cd8d29c531ad857bfa1daa930cba85baaecf1a9a \ - --hash=sha256:99d838547ace2c4aace6c4f76e879ddfe02bb58a80c1549928477862b7a6d6ed \ - --hash=sha256:9b2aec6af35c113b05695ebb5749a787acd63cafc83086a05771d1e1cd1e555f \ - --hash=sha256:9c585a1790d5436a5374bac930dad6ed244c046ed91b2b2a3634eb2971d21008 \ - --hash=sha256:a7164afb23be6e37ad90b2f10426149fd75aee07ca55653d2aa41e66c4ef697e \ - --hash=sha256:ac6b31e35612a26483e20750126d30d0941f949426974cace8e6b5c58a3657b0 \ - --hash=sha256:ad2e2ef14e0b04e544ea2fa0a36463f847f113d314aa02e5b402fdf910ef309e \ - --hash=sha256:b268594bccac7d7cf5844c7732e3f20c50921d94e36d7ec9b79e9857694b1b2f \ - --hash=sha256:b5f0362dc928a6ecd9db58868fca5e48485205e3855957bdedea308f8672ea4a \ - --hash=sha256:ba1f4fc670ed79f876f70082eff4f9583c15fb9a4b89d6188412de4d18ae2f40 \ - --hash=sha256:ba203255017337d39f89bdd58417f03c4426f12beed0440cfd933cb15f8669c7 \ - --hash=sha256:c901b15172510173f5cb310eae652908340f8dede90fff9e3bf6c0d8dfd92f83 \ - --hash=sha256:c9b39d38a9bd2ae1becd7eac1303d031c5c110ad31f2b319c6e7d98b135c934d \ - --hash=sha256:d2a8490669bfe99a233298348acc2d824d496dee0e66e31b66a6022c2ad74a5c \ - --hash=sha256:dddbbd259598d7240b18c9d87c56a9d2fb3b02fe266f49a7c101532e78c1d871 \ - --hash=sha256:df3775294accfdd75f32c74ae39fcba920c9a378a2fc18a12b6820aa8c1fb502 \ - --hash=sha256:e44319a2953c738205bf3354537979eaa3998ed673395b964c1176083dd46252 \ - --hash=sha256:e4a010c27ff6f210ff4c6ef34394cd61470d01014439b192ec22552ee867f2a8 \ - --hash=sha256:e823b8b6edc81e747526f70f71a9c0a07ac4e7ad13020aa736bb7c9d67196115 \ - --hash=sha256:e892aff75639bbef0d2a2cfd55535510df26ff92f63c92cd84ef8d4ba5a5557f \ - --hash=sha256:eea7ac5d2dce4189771cedb559c738a71512768210dc4e4753b107a2048b3d0e \ - --hash=sha256:ef4059d6e5152fa1a39f888e344c73fdc926e1b2dd58c771d67b0acfbf2aa67d \ - --hash=sha256:f169b9a863d34f5d11b8698ead99febeaa17a13ca044961aa8e2662a6c7766a0 \ - --hash=sha256:f2cf083b324a467e1ab358c105f6cad5ea950f50524668a80c486ff1db24e119 \ - --hash=sha256:f8474c4241bc18b750be2abea9d7a9ec84f46ef861dbacf86a4f6e043401f79e \ - --hash=sha256:f983334aea213c99992053ede6168500e5f086ce74fbc4acc3f2b00f5762e9db \ - --hash=sha256:f9e75681b59ddaa5e659898085ae0eaea229d054f2ac0c7e563a62205a700121 \ - --hash=sha256:fbc356aae7adf9e6336d336b9c8111d390a05df88f1805573ebb0807bd06fd1d \ - --hash=sha256:fcfe2045fd2e8f3cb0ce9d4ba6dba6333b8fa05bb8a4939c908cd43322d14c7e +numpy==2.4.6 \ + --hash=sha256:001fbb8e08d942dd57599e781f2472269ee7f2755fae407b4f67b2f0b17da3f1 \ + --hash=sha256:0280e0356c0829a18d9de1cb7eee50ec22ca639878d7240307ca0943d73cd2c4 \ + --hash=sha256:043191bfa8eab18c776647b62723ac9dddece59743b13f49b2016094129c2b3f \ + --hash=sha256:06ca2f61ec4385a07a6977c55ba998a4466c123642b4a32694d3128fce18c079 \ + --hash=sha256:0a041d3d761dc3c35cc56ce0351506a02bcbc25f7b169f652435141a17db9096 \ + --hash=sha256:0ab0a9c4ffb1a6d95ef519fe4247dba8eb6b18ad93999f76b7f657039acabd47 \ + --hash=sha256:0c9136e14ed34a9e343a31c533d78a9813a69a3148332bce5e9821cb2f996e66 \ + --hash=sha256:110f8b71aacb688ec69062bb7f6938a0f8acb01b7c1c4beb453c65b6d234584d \ + --hash=sha256:112b06a867b235ef466ed3508ddf0238050df9c727cafb5301ac385b899189a1 \ + --hash=sha256:17f9ade344e7d9b464a084d69bcf18fc691cb1db67c62ed80820bf4926d78f0e \ + --hash=sha256:1e254a00cdf42b1e4d5b3d68d33af63268d41340d8885df2ab6470f2e1500147 \ + --hash=sha256:1e978ec1e8bd0e0e4de6bb75de9d30cbb74db6b6a2bb727618613703ca0167dd \ + --hash=sha256:25c692919ac5a01f170a3bfcd62d745b24fd095c353d50812637d6fcab442e75 \ + --hash=sha256:260a5d70215b61ab4fadf5c7baacd64821842975eea312125ed3c39a6391b063 \ + --hash=sha256:2803abfebfc990042cd494d8ce2d5f82e9d847af6d35ec486923aa19dbad5e73 \ + --hash=sha256:29a287e0cf63ff528da061de6b9f64a4618da591ca1046aafc54062e40ca7eab \ + --hash=sha256:29cb7f67d10b479ff07c17d33e39f78c07f71c40ef30d63c153d340e96cd3fb4 \ + --hash=sha256:3213d622a0283a39a93d188f3cf72b26862df52fbb4ca3697f51705016523d41 \ + --hash=sha256:33111801a01c12a8a1e3721f0a9232f8cfc8ae2c6b7098167e6f623c6073f402 \ + --hash=sha256:357cc07a6d7b0b182ff02249616a03742827ebb1277546b5c7cd7f7620a45698 \ + --hash=sha256:38efbc8de75c7a0fc1ac190162d892787f3f47b57cc291231aafee36b80982b7 \ + --hash=sha256:4081eb135ac24158bd51cdfbef16f1c64df7063b1143f24731387137c092bec8 \ + --hash=sha256:40fdc1ae7125e518ea98e53e69a4ebc27e1fd50510c47b7ea130cf21e5e1d42b \ + --hash=sha256:4cfe66903cc32a9921a6733d96b19bb6abf310397581bbad89c228f5abaf0ee8 \ + --hash=sha256:511dbaf848decaaaf4b4ca48032619fb3138710c4bf7da7617765edad1ef96b0 \ + --hash=sha256:55cced7c52e981362f708ad635198e97a752dfba412cc03c23bbf3bd8d5cd662 \ + --hash=sha256:56b39e5e0622a09a25bf5baf62f4bcf0cb8a41ae6e2819cf49bbc5a74c083f91 \ + --hash=sha256:5dbbdb29840ca3d91ee0fece42fc29278886d908280bfec0a5846c6f901a3eb0 \ + --hash=sha256:5f9fb9157b4ce2971008323afe46053787b526ef624fea915b261468a8421a0f \ + --hash=sha256:6180d8b35af935aed8ece3a85e0a43f87393ae0ac87c8d2c8bd2c993f7270ef3 \ + --hash=sha256:68a5124b13fa6cc2086764a20005d30bc0548146f7f5322f02fce212ca14317f \ + --hash=sha256:68bb27509ac1b9a3443094260f6326150663b06abe40b73a2f81160623da5b67 \ + --hash=sha256:6f41ae150c4e32db4f3310cdaf64b1593a03dbabe29eec77fc9b50fe64061df6 \ + --hash=sha256:7265a2f3d436e54ef9f2b52b5c937e6be778781bd97a590319d7348f1c1ca997 \ + --hash=sha256:72fbe16c6fac95aedf5937fa873445cec2110be35d8a4e9433d7501fd98dae6b \ + --hash=sha256:7d92c3819208a60205a12a245c91ad70cb0a85336659b19b834205573ac8456e \ + --hash=sha256:8155154c7c691289fe18f510b5d4657c68c67989f293f0535a91360392ff6538 \ + --hash=sha256:81a1cca95ed5bb92aa8b10dd2cdc9a0d3853a50fad926c28b5d7e8ea54389627 \ + --hash=sha256:89cd468399cfd2504718f0ba50e410dca55a170b61a02ad92bb18c8a65186e93 \ + --hash=sha256:8ad03c0965fb3c692200e74d458ca28c1dbb4ce96f9a479a8aa041ad5fabca02 \ + --hash=sha256:90f9849678c75fe7afa2d348ac842c168b0a4d3d61919687216dfc547976d853 \ + --hash=sha256:948424b06129ce883307e8cff868c31396d8dc7630a59c61d70d98dbe70f222c \ + --hash=sha256:9cd5ffd25db4e7ba6a375693b3fc0fc1791ec636c17db3720da19bde7180ec43 \ + --hash=sha256:a0df0043bdb289bde1f62da130d20df23d58b45429f752bc7a8fc5325a225ecd \ + --hash=sha256:a2c306dea656c12c68f51f4cea133cbe78ca7435eb28c735eac1d3ebe73be6e8 \ + --hash=sha256:a7830bab239b79cda9c08c2da014761cafb48da6150e1da17ac06283f43b6089 \ + --hash=sha256:a7c711e21628b52034bb5ab8d1bce291f752fcc5e92accc615778acee1ff4778 \ + --hash=sha256:aaf159caa35993cb1f56fb9b8e4610d35758e7ca005412eb1daa856a78c9c4b1 \ + --hash=sha256:ae506e6902902557576a26ff33eda8695e7ecb3cb36c3b573a0765dee114ebdb \ + --hash=sha256:b507f5c4c1d508876d1819b6bf9a49d365b96320b5d4993426b33a23ca4b8261 \ + --hash=sha256:bf162abab1c1a736333192707cef898e735a5ca00f38f27eeedf44b39d9e85eb \ + --hash=sha256:c1a2af6c6ef86344a6b0db6b97834208bf598db514f2b155042439b62605601a \ + --hash=sha256:c2d37ab77531417474168eb79d6d80b14f821a966818505d03013d0833edb7a8 \ + --hash=sha256:c4fc99836233ea196540b17ab0983aff60ed07941751930f5f4d05bc3b3b7359 \ + --hash=sha256:d581b735e177fdcdce6fed8e7e8880a3fb6ee4e3653a3ac6af01c6f4c03effc5 \ + --hash=sha256:d6da64deb6b8ed903e7560180a92f2d804ee1ba5eeb849ac2748b8c1aba1f6d7 \ + --hash=sha256:d8e8286dd7cea7895157318d1b91cdacac64c479f3cbc8dce548331728484751 \ + --hash=sha256:ddea102b48f9e339f3948bf22040944184627a30fdf7f858667673b9c5f033c8 \ + --hash=sha256:dfa20cc6ca228e6b155b11da03825975ce66aea520985dbbddf0f2a5a495c605 \ + --hash=sha256:e3e5193ef5a3dc73bceee50f7fdc2c90dbb76c42df8d8fae3d1067a583df579e \ + --hash=sha256:e3eeb0aabd6bd5ce64faae67e9935203a6991b4bc2a485a767fbafb2c5125f45 \ + --hash=sha256:e5805d5a22fd19c8ccff10a9561f9df94436b0545619ea579db2d3c35294bce2 \ + --hash=sha256:e85b752a1e912b70eaad4fafbd4d1238007ab221de2009b9a2f5ae7461239895 \ + --hash=sha256:eaf7fa2de5c0be8ae6ff8e9bea2ccd725e980541244521d8d4b5f3354a27babe \ + --hash=sha256:ebfb099f8dcf083deef3ac1ca4c1503f387cf76296fcb3816b66f5ecb5f54fdb \ + --hash=sha256:ece3d2cfe132e7d51f44a832b303895e6f2d499c5e74dfbdb06ee246147a304a \ + --hash=sha256:ed9749eef4cbd126da3dc1d6bcb3a57f5eb7ac6a6484146bdbf743f552dfc577 \ + --hash=sha256:ede83e07a75dd06bc501566c1eca2afc0d61677c1472ac9ad93fdee6e638a48d \ + --hash=sha256:ef4aea96ce4d3b074422cb4f2f64e216bf9e213004bb58ecfdf50ea02ea8eb9a \ + --hash=sha256:f3a3570c4a2a16746ac2c31a7c7c7b0c186b95ce902e33db6f28094ed7387dda \ + --hash=sha256:f407cb6b8e9d6d8c626bc73c945db1706035af8fd632295547bf1c9e46d092d6 \ + --hash=sha256:f74a575920ab21fe304421a3fc28793d82e299cae9eccb37084e9fc7f3617c20 # via # feast (pyproject.toml) # accelerate # altair + # contourpy # dask # datasets # db-dtypes @@ -3030,6 +3429,8 @@ numpy==2.4.4 \ # great-expectations # ibis-framework # imageio + # matplotlib + # mlflow # opencv-python-headless # pandas # pandas-gbq @@ -3041,6 +3442,7 @@ numpy==2.4.4 \ # scipy # sentence-transformers # shapely + # skops # tifffile # torchvision # transformers @@ -3081,6 +3483,8 @@ opentelemetry-api==1.41.1 \ --hash=sha256:0ad1814d73b875f84494387dae86ce0b12c68556331ce6ce8fe789197c949621 \ --hash=sha256:a22df900e75c76dc08440710e51f52f1aa6b451b429298896023e60db5b3139f # via + # mlflow-skinny + # mlflow-tracing # opentelemetry-exporter-prometheus # opentelemetry-sdk # opentelemetry-semantic-conventions @@ -3091,11 +3495,16 @@ opentelemetry-exporter-prometheus==0.62b1 \ opentelemetry-proto==1.27.0 \ --hash=sha256:33c9345d91dafd8a74fc3d7576c5a38f18b7fdf8d02983ac67485386132aedd6 \ --hash=sha256:b133873de5581a50063e1e4b29cdcf0c5e253a8c2d8dc1229add20a4c3830ace - # via ray + # via + # mlflow-skinny + # mlflow-tracing + # ray opentelemetry-sdk==1.41.1 \ --hash=sha256:724b615e1215b5aeacda0abb8a6a8922c9a1853068948bd0bd225a56d0c792e6 \ --hash=sha256:edee379c126c1bce952b0c812b48fe8ff35b30df0eecf17e98afa4d598b7d85d # via + # mlflow-skinny + # mlflow-tracing # opentelemetry-exporter-prometheus # ray opentelemetry-semantic-conventions==0.62b1 \ @@ -3238,6 +3647,9 @@ packaging==26.2 \ # jupyterlab-server # lazy-loader # marshmallow + # matplotlib + # mlflow-skinny + # mlflow-tracing # nbconvert # openlineage-python # pandas-gbq @@ -3245,6 +3657,7 @@ packaging==26.2 \ # ray # safetensors # scikit-image + # skops # snowflake-connector-python # sphinx # transformers @@ -3316,6 +3729,7 @@ pandas==2.3.3 \ # google-cloud-bigquery # great-expectations # ibis-framework + # mlflow # pandas-gbq # pymilvus # ray @@ -3471,6 +3885,7 @@ pillow==11.3.0 \ # docling-parse # easyocr # imageio + # matplotlib # python-pptx # scikit-image # torchvision @@ -3508,6 +3923,10 @@ pre-commit==3.3.1 \ --hash=sha256:218e9e3f7f7f3271ebc355a15598a4d3893ad9fc7b57fe446db75644543323b9 \ --hash=sha256:733f78c9a056cdd169baa6cd4272d51ecfda95346ef8a89bf93712706021b907 # via feast (pyproject.toml) +prettytable==3.17.0 \ + --hash=sha256:59f2590776527f3c9e8cf9fe7b66dd215837cca96a9c39567414cbc632e8ddb0 \ + --hash=sha256:aad69b294ddbe3e1f95ef8886a060ed1666a0b83018bbf56295f6f226c43d287 + # via skops prometheus-client==0.24.1 \ --hash=sha256:150db128af71a5c2482b36e588fc8a6b95e498750da4b17065947c16070f4055 \ --hash=sha256:7e0ced7fbbd40f7b84962d5d2ab6f17ef88a72504dcf7c0b40737b43b2a461f9 @@ -3667,6 +4086,7 @@ protobuf==4.25.9 \ --hash=sha256:d49b615e7c935194ac161f0965699ac84df6112c378e05ec53da65d2e4cbb6d4 # via # feast (pyproject.toml) + # databricks-sdk # google-api-core # google-cloud-bigquery-storage # google-cloud-bigtable @@ -3678,6 +4098,8 @@ protobuf==4.25.9 \ # grpcio-status # grpcio-testing # grpcio-tools + # mlflow-skinny + # mlflow-tracing # mypy-protobuf # opentelemetry-proto # proto-plus @@ -3828,57 +4250,57 @@ py4j==0.10.9.9 \ --hash=sha256:c7c26e4158defb37b0bb124933163641a2ff6e3a3913f7811b0ddbe07ed61533 \ --hash=sha256:f694cad19efa5bd1dee4f3e5270eb406613c974394035e5bfc4ec1aba870b879 # via pyspark -pyarrow==24.0.0 \ - --hash=sha256:02b001b3ed4723caa44f6cd1af2d5c86aa2cf9971dacc2ffa55b21237713dfba \ - --hash=sha256:04920d6a71aabd08a0417709efce97d45ea8e6fb733d9ca9ecffb13c67839f68 \ - --hash=sha256:0b3537c00fb8d384f15ac1e79b6eb6db04a16514c8c1d22e59a9b95c8ba42868 \ - --hash=sha256:1183baeb14c5f587b1ec52831e665718ce632caab84b7cd6b85fd44f96114495 \ - --hash=sha256:14e31a3c9e35f1ab6356c6378f6f72830e6d2d5f1791df3774a7b097d18a6a1e \ - --hash=sha256:1617043b99bd33e5318ae18eb2919af09c71322ef1ca46566cdafc6e6712fb66 \ - --hash=sha256:1a4e45017efbf115032e4475ee876d525e0e36c742214fbe405332480ecd6275 \ - --hash=sha256:1b2fe7f9a5566401a0ef2571f197eb92358925c1f0c8dba305d6e43ea0871bb3 \ - --hash=sha256:1cc9057f0319e26333b357e17f3c2c022f1a83739b48a88b25bfd5fa2dc18838 \ - --hash=sha256:2392d954fcb920f42d230284b677605e4e2fbb11f2821e823e642abd67fbb491 \ - --hash=sha256:25ea65d868eb04015cd18e6df2fbe98f07e5bda2abefabcb88fce39a947716f6 \ - --hash=sha256:295f0a7f2e242dabd513737cf076007dc5b2d59237e3eca37b05c0c6446f3826 \ - --hash=sha256:2f16197705a230a78270cdd4ea8a1d57e86b2fdcbc34a1f6aebc72e65c986f9a \ - --hash=sha256:35405aecb474e683fb36af650618fd5340ee5471fc65a21b36076a18bbc6c981 \ - --hash=sha256:38be1808cdd068605b787e6ca9119b27eb275a0234e50212c3492331680c3b1e \ - --hash=sha256:3a577bd840ca83f646f0a625dbc571dba7044c43c2d1503afc378b570954345c \ - --hash=sha256:3b13dedfe76a0ad2d1d859b0811b53827a4e9d93a0bcb05cf59333ab4980cc7e \ - --hash=sha256:418e48ce50a45a6a6c73c454677203a9c75c966cb1e92ca3370959185f197a05 \ - --hash=sha256:55a3bc1e3df3b5567b7d27ef551b2283f0c68a5e86f1cd56abc569da4f31335b \ - --hash=sha256:6165461f55ef6314f026de6638d661188e3455d3ec49834556a0ebbdbace18bb \ - --hash=sha256:61a3d7eaa97a14768b542f3d284dc6400dd2470d9f080708b13cd46b6ae18136 \ - 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--hash=sha256:adbbedc55506cbdabb830890444fb856bfb0060c46c6f8026c6c2f2cf86ae795 \ - --hash=sha256:ae8a1145af31d903fa9bb166824d7abe9b4681a000b0159c9fb99c11bc11ad26 \ - --hash=sha256:b0e131f880cda8d04e076cee175a46fc0e8bc8b65c99c6c09dff6669335fde74 \ - --hash=sha256:b196eb3f931862af3fa84c2a253514d859c08e0d8fe020e07be12e75a5a9780c \ - --hash=sha256:b7d9a514e73bc42711e6a35aaccf3587c520024fe0a25d830a1a8a27c15f4f57 \ - --hash=sha256:bec9373df11544592b0ba7ec2af0e35059e5f0e7647c6183a854dedd193298f1 \ - --hash=sha256:c42ab9439498270139cc63e18847a02afe5c8b3ed9c931266533cfe378bd3591 \ - --hash=sha256:c91d00057f23b8d353039520dc3a6c09d8608164c692e9f59a175a42b2ae0c19 \ - --hash=sha256:d3e0b61e8efb24ed38898e5cdc5fffa9124be480008d401a1f8071500494ae42 \ - --hash=sha256:d7027eba1df3b2069e2e8d80f644fa0918b68c46432af3d088ddd390d063ecde \ - --hash=sha256:d8ddd2768da81d3ee08cfea9b597f4abb4e8e1dc8ae7e204b608d23a0d3ab699 \ - --hash=sha256:e3268e43984d0b1a185c89b4cfff282a7ead12fc93f56cfd7088bdbcbe727041 \ - --hash=sha256:e4505fc6583f7b05ab854934896bcac8253b04ac1171a77dfb73efef92076d91 \ - --hash=sha256:e56a1ffe9bf7b727432b89104cc0849c21582949dd7bdcb34f17b2001a351a76 \ - --hash=sha256:e6f1278ee4785b6db21229374a1c9e54ec7c549de5d1efc9630b6207de7e170b \ - --hash=sha256:f7616236ec1bc2b15bfdec22a71ab38851c86f8f05ff64f379e1278cf20c634a \ - --hash=sha256:fb24ac194bfc5e86839d7dcd52092ee31e5fe6733fe11f5e3b06ef0812b20072 +pyarrow==23.0.1 \ + --hash=sha256:00be9576d970c31defb5c32eb72ef585bf600ef6d0a82d5eccaae96639cf9d07 \ + --hash=sha256:07deae7783782ac7250989a7b2ecde9b3c343a643f82e8a4df03d93b633006f0 \ + --hash=sha256:0ae6e17c828455b6265d590100c295193f93cc5675eb0af59e49dbd00d2de350 \ + --hash=sha256:0b95a3994f015be13c63148fef8832e8a23938128c185ee951c98908a696e0eb \ + --hash=sha256:17cd28e906c18af486a499422740298c52d7c6795344ea5002a7720b4eadf16d \ + --hash=sha256:26d50dee49d741ac0e82185033488d28d35be4d763ae6f321f97d1140eb7a0e9 \ + --hash=sha256:29f7f7419a0e30264ea261fdc0e5fe63ce5a6095003db2945d7cd78df391a7e1 \ + --hash=sha256:33d648dc25b51fd8055c19e4261e813dfc4d2427f068bcecc8b53d01b81b0500 \ + --hash=sha256:3a4c85ef66c134161987c17b147d6bffdca4566f9a4c1d81a0a01cdf08414ea5 \ + --hash=sha256:3c30143b17161310f151f4a2bcfe41b5ff744238c1039338779424e38579d701 \ + --hash=sha256:3f91c038b95f71ddfc865f11d5876c42f343b4495535bd262c7b321b0b94507c \ + --hash=sha256:3fab8f82571844eb3c460f90a75583801d14ca0cc32b1acc8c361650e006fd56 \ + --hash=sha256:46718a220d64677c93bc243af1d44b55998255427588e400677d7192671845c7 \ + --hash=sha256:4982d71350b1a6e5cfe1af742c53dfb759b11ce14141870d05d9e540d13bc5d1 \ + --hash=sha256:527e8d899f14bd15b740cd5a54ad56b7f98044955373a17179d5956ddb93d9ce \ + --hash=sha256:564baf97c858ecc03ec01a41062e8f4698abc3e6e2acd79c01c2e97880a19730 \ + --hash=sha256:5abde149bb3ce524782d838eb67ac095cd3fd6090eba051130589793f1a7f76d \ + --hash=sha256:5c16ed4f53247fa3ffb12a14d236de4213a4415d127fe9cebed33d51671113e2 \ + --hash=sha256:5df1161da23636a70838099d4aaa65142777185cc0cdba4037a18cee7d8db9ca \ + --hash=sha256:5f4763b83c11c16e5f4c15601ba6dfa849e20723b46aa2617cb4bffe8768479f \ + --hash=sha256:6b8fda694640b00e8af3c824f99f789e836720aa8c9379fb435d4c4953a756b8 \ + --hash=sha256:6f0147ee9e0386f519c952cc670eb4a8b05caa594eeffe01af0e25f699e4e9bb \ + --hash=sha256:7044b442f184d84e2351e5084600f0d7343d6117aabcbc1ac78eb1ae11eb4125 \ + --hash=sha256:71c5be5cbf1e1cb6169d2a0980850bccb558ddc9b747b6206435313c47c37677 \ + --hash=sha256:76e823d0e86b4fb5e1cf4a58d293036e678b5a4b03539be933d3b31f9406859f \ + --hash=sha256:7707d2b6673f7de054e2e83d59f9e805939038eebe1763fe811ee8fa5c0cd1a7 \ + --hash=sha256:813d99f31275919c383aab17f0f455a04f5a429c261cc411b1e9a8f5e4aaaa05 \ + --hash=sha256:86ff03fb9f1a320266e0de855dee4b17da6794c595d207f89bba40d16b5c78b9 \ + --hash=sha256:8ff51b1addc469b9444b7c6f3548e19dc931b172ab234e995a60aea9f6e6025f \ + --hash=sha256:9b6f4f17b43bc39d56fec96e53fe89d94bac3eb134137964371b45352d40d0c2 \ + --hash=sha256:9fc13fc6c403d1337acab46a2c4346ca6c9dec5780c3c697cf8abfd5e19b6b37 \ + --hash=sha256:a09f3876e87f48bc2f13583ab551f0379e5dfb83210391e68ace404181a20690 \ + --hash=sha256:a35581e856a2fafa12f3f54fce4331862b1cfb0bef5758347a858a4aa9d6bae8 \ + --hash=sha256:a62e1899e3078bf65943078b3ad2a6ddcacf2373bc06379aac61b1e548a75814 \ + --hash=sha256:b8c5873e33440b2bc2f4a79d2b47017a89c5a24116c055625e6f2ee50523f019 \ + --hash=sha256:bf5842f960cddd2ef757d486041d57c96483efc295a8c4a0e20e704cbbf39c67 \ + --hash=sha256:c2139549494445609f35a5cda4eb94e2c9e4d704ce60a095b342f82460c73a83 \ + --hash=sha256:c250248f1fe266db627921c89b47b7c06fee0489ad95b04d50353537d74d6886 \ + --hash=sha256:c33b5bf406284fd0bba436ed6f6c3ebe8e311722b441d89397c54f871c6863a2 \ + --hash=sha256:cd395abf8f91c673dd3589cadc8cc1ee4e8674fa61b2e923c8dd215d9c7d1f41 \ + --hash=sha256:cecfb12ef629cf6be0b1887f9f86463b0dd3dc3195ae6224e74006be4736035a \ + --hash=sha256:d0744403adabef53c985a7f8a082b502a368510c40d184df349a0a8754533258 \ + --hash=sha256:db2190fa79c80a23fdd29fef4b8992893f024ae7c17d2f5f4db7171fa30c2c78 \ + --hash=sha256:ddf743e82f69dcd6dbbcb63628895d7161e04e56794ef80550ac6f3315eeb1d5 \ + --hash=sha256:df088e8f640c9fae3b1f495b3c64755c4e719091caf250f3a74d095ddf3c836d \ + --hash=sha256:e052a211c5ac9848ae15d5ec875ed0943c0221e2fcfe69eee80b604b4e703222 \ + --hash=sha256:f00f993a8179e0e1c9713bcc0baf6d6c01326a406a9c23495ec1ba9c9ebf2919 \ + --hash=sha256:f4b0dbfa124c0bb161f8b5ebb40f1a680b70279aa0c9901d44a2b5a20806039f \ + --hash=sha256:fa8e51cb04b9f8c9c5ace6bab63af9a1f88d35c0d6cbf53e8c17c098552285e1 \ + --hash=sha256:fed7020203e9ef273360b9e45be52a2a47d3103caf156a30ace5247ffb51bdbd # via # feast (pyproject.toml) # dask @@ -3887,6 +4309,7 @@ pyarrow==24.0.0 \ # deltalake # google-cloud-bigquery # ibis-framework + # mlflow # pandas-gbq # ray # snowflake-connector-python @@ -4006,6 +4429,8 @@ pydantic==2.13.4 \ # fastapi-mcp # great-expectations # mcp + # mlflow-skinny + # mlflow-tracing # pydantic-settings # qdrant-client # ray @@ -4410,7 +4835,9 @@ pyopenssl==26.2.0 \ pyparsing==3.3.2 \ --hash=sha256:850ba148bd908d7e2411587e247a1e4f0327839c40e2e5e6d05a007ecc69911d \ --hash=sha256:c777f4d763f140633dcb6d8a3eda953bf7a214dc4eff598413c070bcdc117cbc - # via great-expectations + # via + # great-expectations + # matplotlib pypdfium2==4.30.0 \ --hash=sha256:0dfa61421b5eb68e1188b0b2231e7ba35735aef2d867d86e48ee6cab6975195e \ --hash=sha256:119b2969a6d6b1e8d55e99caaf05290294f2d0fe49c12a3f17102d01c441bd29 \ @@ -4637,10 +5064,12 @@ python-dateutil==2.9.0 \ # botocore # elasticsearch # google-cloud-bigquery + # graphene # great-expectations # ibis-framework # jupyter-client # kubernetes + # matplotlib # moto # openlineage-python # pandas @@ -4653,6 +5082,7 @@ python-dotenv==1.2.2 \ --hash=sha256:1d8214789a24de455a8b8bd8ae6fe3c6b69a5e3d64aa8a8e5d68e694bbcb285a \ --hash=sha256:2c371a91fbd7ba082c2c1dc1f8bf89ca22564a087c2c287cd9b662adde799cf3 # via + # mlflow-skinny # pydantic-settings # pymilvus # testcontainers @@ -4665,9 +5095,9 @@ python-keycloak==4.2.2 \ --hash=sha256:1d43a1accd4a038ed39317fcb3eb78211df6c75bbcbc4c482c99ee76327136f2 \ --hash=sha256:5137fd87c69031a372a578df96bae96b9aead2c9dad976613bc978e9e0246a1e # via feast (pyproject.toml) -python-multipart==0.0.28 \ - --hash=sha256:10faac07eb966c3f48dc415f9dee46c04cb10d58d30a35677db8027c825ed9b6 \ - --hash=sha256:8550da197eac0f7ab748961fc9509b999fa2662ea25cef857f05249f6893c0f8 +python-multipart==0.0.29 \ + --hash=sha256:2ddcc971cef266225f54f552d8fa10bcfbb1f14446caec199060daac59ff2d69 \ + --hash=sha256:643e93849196645e2dbdd81a0f8829a23123ad7f797a84a364c6fb3563f18904 # via mcp python-pptx==1.0.2 \ --hash=sha256:160838e0b8565a8b1f67947675886e9fea18aa5e795db7ae531606d68e785cba \ @@ -4765,6 +5195,7 @@ pyyaml==6.0.3 \ # huggingface-hub # jupyter-events # kubernetes + # mlflow-skinny # openlineage-python # openshift-client # pre-commit @@ -5027,6 +5458,7 @@ requests==2.34.2 \ # via # feast (pyproject.toml) # azure-core + # databricks-sdk # datasets # docker # docling @@ -5039,6 +5471,7 @@ requests==2.34.2 \ # jupyterlab-server # kube-authkit # kubernetes + # mlflow-skinny # moto # msal # openlineage-python @@ -5370,7 +5803,9 @@ scikit-learn==1.8.0 \ --hash=sha256:fe1c011a640a9f0791146011dfd3c7d9669785f9fed2b2a5f9e207536cf5c2fd # via # feast (pyproject.toml) + # mlflow # sentence-transformers + # skops scipy==1.17.1 \ --hash=sha256:010f4333c96c9bb1a4516269e33cb5917b08ef2166d5556ca2fd9f082a9e6ea0 \ --hash=sha256:02ae3b274fde71c5e92ac4d54bc06c42d80e399fec704383dcd99b301df37458 \ @@ -5437,9 +5872,11 @@ scipy==1.17.1 \ # docling # easyocr # great-expectations + # mlflow # scikit-image # scikit-learn # sentence-transformers + # skops semchunk==3.2.5 \ --hash=sha256:ee15e9a06a69a411937dd8fcf0a25d7ef389c5195863140436872a02c95b0218 \ --hash=sha256:fd09cc5f380bd010b8ca773bd81893f7eaf11d37dd8362a83d46cedaf5dae076 @@ -5550,10 +5987,18 @@ six==1.17.0 \ # python-dateutil # rfc3339-validator # thriftpy2 +skops==0.14.0 \ + --hash=sha256:60a5db78a9db46ccee2139a0ba13ab5afb1c96f4749b382e75a371291bbe3e36 \ + --hash=sha256:6c8c0e047f691a3a582c3258943eecafcbfd79c8c7eef66260f3703e363254f0 + # via mlflow smart-open==7.6.1 \ --hash=sha256:4347996e7ba21db7cd1e059632e0b30395407e4f6c660d2ddffc8f2a9ae5f990 \ --hash=sha256:b4de6aebef023aca91cc9fb372052e1343ba3f152de215bd22391a663e3ddd21 # via ray +smmap==5.0.3 \ + --hash=sha256:4d9debb8b99007ae47165abc08670bd74cb74b5227dda7f643eccc4e9eb5642c \ + --hash=sha256:c106e05d5a61449cf6ba9a1e650227ecfb141590d2a98412103ff35d89fc7b2f + # via gitdb sniffio==1.3.1 \ --hash=sha256:2f6da418d1f1e0fddd844478f41680e794e6051915791a034ff65e5f100525a2 \ --hash=sha256:f4324edc670a0f49750a81b895f35c3adb843cca46f0530f79fc1babb23789dc @@ -5692,7 +6137,10 @@ sqlalchemy[mypy]==2.0.49 \ --hash=sha256:e06e617e3d4fd9e51d385dfe45b077a41e9d1b033a7702551e3278ac597dc750 \ --hash=sha256:ec44cfa7ef1a728e88ad41674de50f6db8cfdb3e2af84af86e0041aaf02d43d0 \ --hash=sha256:fb37f15714ec2652d574f021d479e78cd4eb9d04396dca36568fdfffb3487982 - # via feast (pyproject.toml) + # via + # feast (pyproject.toml) + # alembic + # mlflow sqlglot[rs]==30.8.0 \ --hash=sha256:1c5f93fb742dd9aaa75eee6bb33a637794a858b9a86375fac23a2dc0f7bc127e \ --hash=sha256:af903378c331d5b72277a1b41118f07bc3e50cf4478e2d47eed12c96ee6a22a4 @@ -5737,6 +6185,10 @@ sqlparams==6.2.0 \ --hash=sha256:3744a2ad16f71293db6505b21fd5229b4757489a9b09f3553656a1ae97ba7ca5 \ --hash=sha256:63b32ed9051bdc52e7e8b38bc4f78aed51796cdd9135e730f4c6a7db1048dedf # via singlestoredb +sqlparse==0.5.5 \ + --hash=sha256:12a08b3bf3eec877c519589833aed092e2444e68240a3577e8e26148acc7b1ba \ + --hash=sha256:e20d4a9b0b8585fdf63b10d30066c7c94c5d7a7ec47c889a2d83a3caa93ff28e + # via mlflow-skinny sse-starlette==3.4.4 \ --hash=sha256:07e0fa0460138baf25cdd5fb28683472c3995dc1642225191b3832d62526bcb0 \ --hash=sha256:3f4dd50d8aed2771a091f3a83000323fc3844541c16b4fe585ae2420cc6df973 @@ -5745,12 +6197,13 @@ stack-data==0.6.3 \ --hash=sha256:836a778de4fec4dcd1dcd89ed8abff8a221f58308462e1c4aa2a3cf30148f0b9 \ --hash=sha256:d5558e0c25a4cb0853cddad3d77da9891a08cb85dd9f9f91b9f8cd66e511e695 # via ipython -starlette==1.0.0 \ - --hash=sha256:6a4beaf1f81bb472fd19ea9b918b50dc3a77a6f2e190a12954b25e6ed5eea149 \ - --hash=sha256:d3ec55e0bb321692d275455ddfd3df75fff145d009685eb40dc91fc66b03d38b +starlette==0.52.1 \ + --hash=sha256:0029d43eb3d273bc4f83a08720b4912ea4b071087a3b48db01b7c839f7954d74 \ + --hash=sha256:834edd1b0a23167694292e94f597773bc3f89f362be6effee198165a35d62933 # via # fastapi # mcp + # mlflow-skinny # sse-starlette sympy==1.14.0 \ --hash=sha256:d3d3fe8df1e5a0b42f0e7bdf50541697dbe7d23746e894990c030e2b05e72517 \ @@ -6178,9 +6631,9 @@ typer==0.12.5 \ # docling # docling-core # fastapi-mcp -types-cffi==2.0.0.20260508 \ - --hash=sha256:746b081b4bf84f9d8855c517a67c2dff717f3c18657fcff8e9c251fb5778f311 \ - --hash=sha256:d094065daf4edcfbdd3e11c37d2fa9511eaf7c509da7a9d9573c276398a8e745 +types-cffi==2.0.0.20260518 \ + --hash=sha256:5b68a215a95d0eac4203b58e766ff7fe40c2e091b1fa1a9e54111f04cc560084 \ + --hash=sha256:f9707e66c13454789a58f8843d1ded4a66f1e9c8b10bd24d5eb5e0f25c0c5472 # via types-pyopenssl types-protobuf==3.19.22 \ --hash=sha256:d291388678af91bb045fafa864f142dc4ac22f5d4cdca097c7d8d8a32fa9b3ab \ @@ -6188,25 +6641,25 @@ types-protobuf==3.19.22 \ # via # feast (pyproject.toml) # mypy-protobuf -types-pymysql==1.1.0.20260508 \ - --hash=sha256:49abf0c2f8d944384834544a8f25ea1b25018c3d815f7ec676f73d0b7fe0731c \ - --hash=sha256:a726e6f867e0a1027a297c89d7646e4d52b7db6ccd11b2a40780120257610c78 +types-pymysql==1.1.0.20260518 \ + --hash=sha256:39a2448c4267dc4551e0824d2bfaecf7dfd171e89e6dbba90f4d4d45d55e4342 \ + --hash=sha256:cf697ce4e44124fc859e8e8a7f047c1dc864745c3c628b85a51b3ee01502ef98 # via feast (pyproject.toml) types-pyopenssl==24.1.0.20240722 \ --hash=sha256:47913b4678a01d879f503a12044468221ed8576263c1540dcb0484ca21b08c39 \ --hash=sha256:6a7a5d2ec042537934cfb4c9d4deb0e16c4c6250b09358df1f083682fe6fda54 # via types-redis -types-python-dateutil==2.9.0.20260508 \ - --hash=sha256:596a6d63d81f587bf04c8254fb78df9d2344e915ce67948d7400512e3a6206d5 \ - --hash=sha256:bfc6fd2d81aa86e5ac97206a64304f6bd247426eedbca9b98619bbc48c6a1c10 +types-python-dateutil==2.9.0.20260518 \ + --hash=sha256:51f02dc03b61c7f6a07df45797d4dfe8a1aa47f0b7db9ad89f6fd3a1a70e1b51 \ + --hash=sha256:d6a9c5bd0de61460c8fdef8ab2b400f956a1a1075cce08d4e2b4434e478c50b8 # via feast (pyproject.toml) -types-pytz==2026.2.0.20260506 \ - --hash=sha256:58ab5307c20885f9bcd42ff106616eb0e32710791f8cbdc770aee2ea0c4f01fb \ - --hash=sha256:fc6a0de6a1b7da82a748fb4065e152372dac3016559cb1eef5e8af1e338eb627 +types-pytz==2026.2.0.20260518 \ + --hash=sha256:3a12eaa38f476bd650902a9c9bb442f03f3c7dee2be5c5848bce61bd708d205a \ + --hash=sha256:e5d254329e9c4e91f0781b22c43a4bb2d10bb044d97b24c4b05d45567b0eae16 # via feast (pyproject.toml) -types-pyyaml==6.0.12.20260510 \ - --hash=sha256:09c1f1cb65a6eebea1e2e51ccf4918b8288e152909609a35cdb0d805efd125ad \ - --hash=sha256:3492eb9ba4d9d833473214c4d5736cccf5f37d93f5854059721e1c84f785309d +types-pyyaml==6.0.12.20260518 \ + --hash=sha256:d2150f75a231c9fe9c7463bd29487d93e60bac90400287351384bc2284eba7cd \ + --hash=sha256:d917f83fb38462550338c1297faedd860b3ec83912b96b1e3d73255f7473e466 # via feast (pyproject.toml) types-redis==4.6.0.20241004 \ --hash=sha256:5f17d2b3f9091ab75384153bfa276619ffa1cf6a38da60e10d5e6749cc5b902e \ @@ -6216,9 +6669,9 @@ types-requests==2.30.0.0 \ --hash=sha256:c6cf08e120ca9f0dc4fa4e32c3f953c3fba222bcc1db6b97695bce8da1ba9864 \ --hash=sha256:dec781054324a70ba64430ae9e62e7e9c8e4618c185a5cb3f87a6738251b5a31 # via feast (pyproject.toml) -types-setuptools==82.0.0.20260508 \ - --hash=sha256:ba1d863bbd11526d7232bca8d5a4aebe1d38fa1677a550f47a2692b7d5776900 \ - --hash=sha256:e76ade6f42ba9b4211636b84b65a8e55948a67ffe81f9a44e66b8af93d57e77e +types-setuptools==82.0.0.20260518 \ + --hash=sha256:31c04a62b57a653a5021caf191be0f10f70df890f813b51f02bab3969d300f20 \ + --hash=sha256:3b743cfe63d0981ea4c15b90710fc1ed41e3464a537d51e705be514e891c1d07 # via # feast (pyproject.toml) # types-cffi @@ -6235,6 +6688,7 @@ typing-extensions==4.15.0 \ --hash=sha256:f0fa19c6845758ab08074a0cfa8b7aecb71c999ca73d62883bc25cc018c4e548 # via # aiosignal + # alembic # anyio # azure-core # azure-identity @@ -6243,6 +6697,7 @@ typing-extensions==4.15.0 \ # docling-core # elasticsearch # fastapi + # graphene # great-expectations # huggingface-hub # ibis-framework @@ -6250,6 +6705,7 @@ typing-extensions==4.15.0 \ # jwcrypto # mcp # minio + # mlflow-skinny # mypy # opentelemetry-api # opentelemetry-sdk @@ -6399,6 +6855,7 @@ uvicorn[standard]==0.34.0 \ # feast (pyproject.toml) # fastapi-mcp # mcp + # mlflow-skinny # uvicorn-worker uvicorn-worker==0.3.0 \ --hash=sha256:6baeab7b2162ea6b9612cbe149aa670a76090ad65a267ce8e27316ed13c7de7b \ @@ -6462,121 +6919,121 @@ virtualenv==20.23.0 \ # feast (pyproject.toml) # pre-commit # ray -watchfiles==1.1.1 \ - --hash=sha256:00485f441d183717038ed2e887a7c868154f216877653121068107b227a2f64c \ - --hash=sha256:03fa0f5237118a0c5e496185cafa92878568b652a2e9a9382a5151b1a0380a43 \ - --hash=sha256:04e78dd0b6352db95507fd8cb46f39d185cf8c74e4cf1e4fbad1d3df96faf510 \ - --hash=sha256:059098c3a429f62fc98e8ec62b982230ef2c8df68c79e826e37b895bc359a9c0 \ - --hash=sha256:08af70fd77eee58549cd69c25055dc344f918d992ff626068242259f98d598a2 \ - --hash=sha256:0b495de0bb386df6a12b18335a0285dda90260f51bdb505503c02bcd1ce27a8b \ - --hash=sha256:130e4876309e8686a5e37dba7d5e9bc77e6ed908266996ca26572437a5271e18 \ - --hash=sha256:14e0b1fe858430fc0251737ef3824c54027bedb8c37c38114488b8e131cf8219 \ - --hash=sha256:17ef139237dfced9da49fb7f2232c86ca9421f666d78c264c7ffca6601d154c3 \ - --hash=sha256:1a0bb430adb19ef49389e1ad368450193a90038b5b752f4ac089ec6942c4dff4 \ - --hash=sha256:1db5d7ae38ff20153d542460752ff397fcf5c96090c1230803713cf3147a6803 \ - 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--hash=sha256:772b80df316480d894a0e3165fdd19cf77f5d17f9a787f94029465ad0e3529d1 \ + --hash=sha256:77a0feab9af4c021c581f695258c642b3d10c5fd4c676e33a0d8606425d82631 \ + --hash=sha256:7a2cffd17d27d2ecbb310c2b1d8174f222a5495b1a721894afa88ec11e25b898 \ + --hash=sha256:7a7ce236284f002a156f70add88efe5c70879cccbb658be0822c54b1306fc09d \ + --hash=sha256:7ba0480b9a74af058f43b337e937a451e109295c420916d68ad24e3dc02f5e44 \ + --hash=sha256:8520a4ab0e37f770afc34459c4f8f7019e153f9124dc101c15538365875d1ab2 \ + --hash=sha256:86bc13c25a8d1fcd70b51d0ce7c9b65e90de5666fcbfd3e34957cc73ee19aeb5 \ + --hash=sha256:89d8c2394a065ca86f5d2910ff263ae67c127e1376ccc4f9fc35c71db879f80a \ + --hash=sha256:8c520725602756229f045b032a1ff33d7ef0f7404189d62f6c2438cb6d8ef6a1 \ + --hash=sha256:8f200104103feb097de4cab8fe4f5dd18a2026934c7dea98c55a2f5fd6d5a33b \ + --hash=sha256:8f70d8b291ef6e88d19b1f297a6905ddb978888d9272b0d05e6f53309856bcfc \ + --hash=sha256:8fa585ede612ee9f9e91b18bebf9ba11b9ae29a4e3a0d0cf6fca3e382133f0d5 \ + --hash=sha256:922c0e019fe68b3ae392965a766b02a71ba1168c932cebc3733cd52c5fe5b377 \ + --hash=sha256:9342472aff9b093c5acd4f6d8f70ae0937964ab56542502bcf5579782da69ae8 \ + --hash=sha256:9649193aa27bd9ff2e80ff29bfaa93085496c7a3a377592823cc58b77ee88add \ + --hash=sha256:9f04b092229ad2c50126dd3c922c8822e51e605993764a33058d4a791ab42281 \ + --hash=sha256:a0f27f01bee51861392bb6b7c4fdb290b27d1eb194e9e28788d68102a0e898d9 \ + --hash=sha256:a16ffe19bf5cf9f5edaa1ad1dd830c5a816e8feec430c522302ab55483a4b994 \ + --hash=sha256:a204794696ffb8f9b10fba6f7cb5216d42f3b2b71860ccac6b6e42f5f10973b0 \ + --hash=sha256:a711b51aec4370d0dcda5b6c09463206f133a5759341d7744b953a7b62e1100e \ + --hash=sha256:a88fc94e647bc4eec523f1caa540258eb71d14278b9daf72fa1e2658a98df0f0 \ + --hash=sha256:ae99b14c5f21e026e0e9d96f40e07d8570ebee6cafd9d8fc318354606daa7a28 \ + --hash=sha256:b0ef001f8c25ad0fa9529f914c1600647ecd0f542d11c19b7894768c67b6acb7 \ + --hash=sha256:b141a4891c995a039cd89e9a49e62df1dc8a559a5d1a6e4c7106d16c12777a55 \ + --hash=sha256:b4e77f6a55f858504069abd35d336a637555c09bca453dde1ee1e5ada8a6a1fb \ + --hash=sha256:b62f042afde2dde21ec1d2c1a74361e804673df86f51e418a999c9acfe671b07 \ + --hash=sha256:b718bf356bbc15e559bd8ef41782b573b8ae0e3f177ab244b440568d7ea02cfb \ + --hash=sha256:b8c8358484d5fa12ef34f05b7f4168eaf1932f408725ff6d023c33ec17bd79d4 \ + --hash=sha256:b974946a10af379d425e2eef5b62f5c6ebeaccf91d45eaad6f5b27ecd4f91aa0 \ + --hash=sha256:b9909cc2b48468b575eefa944919e1fe8a36c5849d5c7c168f80a8c1db69398e \ + --hash=sha256:b9f732dc58b2dbe69e464ccf8fff7a03b0dd0be439da4c0720d3558527d3d6b4 \ + --hash=sha256:bb68bf4df85abebe5efddc53cf2075520f243a59868d9b3973278b23e76962a9 \ + --hash=sha256:bb7e52ecf68ba46d22df23467b87cffeb2146908aa523ebfe803019618cfda06 \ + --hash=sha256:bc13eb17538be00c874699dc0abe4ee2bc8d50bb1166a6b9e175ef3fd7eb8f26 \ + --hash=sha256:c0db965c5f79aa49fe672d297cf1febc5ad149b658594944f49a54a2b96270a7 \ + --hash=sha256:c16cb06dd17d43b9d185094268459eac92c9538356f050e55b54e82cf700e1d4 \ + --hash=sha256:c525543d91961c6955b2636b308569e84a1d1c5f5f2932041ab9ef46422f43e3 \ + --hash=sha256:c5c19526f4e54a00f2666a6c0e9e40d582c09e865055ea7378bf0009aab857b3 \ + --hash=sha256:c995fba777f1ea992f090f9236e9284cf7a5d1a0130dd5a3d82c598cacd76838 \ + --hash=sha256:ca148d73dea36c9763aaa351e4d7a51780ec1584217c45276f4fe8239c768b71 \ + --hash=sha256:cee9d5efd929efdac5f7e58f72b3376f676b64050a91c5b99a7094c5b2317488 \ + --hash=sha256:d158cd89df6053823533e06fb1d73c549133bff5f0396170c0e53d9559340717 \ + --hash=sha256:d20029a60a71a052a24c4db7673bc4de39ab89adbaccbfb5d67987c5d73f424d \ + --hash=sha256:d413349d565dab74297f2a63e84a097936be69bf8f3b3801f27f380e32040f44 \ + --hash=sha256:d4a4b147f5dca2a5d325a06a832fb43f345751adfbc63204aec30e0d9ca965a2 \ + --hash=sha256:d516b3283a758e087841aedb8031549fb41ced08f3db10aa6d2bf32dc042525b \ + --hash=sha256:d73a585accffa5ae39c17264c36ec3166d2fad7000c780f5ef83b2722afb9dd2 \ + --hash=sha256:dbd6c97045dad81227c8d040173da044c1de08de64a5ea8b555da4aee1d5fa22 \ + --hash=sha256:e0618518f282c4ebff60f5e5b1247b6d91bb8b9f4476947563a1e74acc66f3c6 \ + --hash=sha256:e140ed30ebde76796b686e67c182cff10ea2fbab186fafd1560f74bb5a473a6e \ + --hash=sha256:e1cfd51e97e13ff3bd047c140764d277fc9b95b7cb5da59e46a47d167adab310 \ + --hash=sha256:e2ca07fa7d89195ec0865d3d285666286740bfa83d83e5cee204043a31ecc165 \ + --hash=sha256:e53a384f76b631c3ae5334ce6a52f0baa3a911eb94a4eac7f160079868b716d5 \ + --hash=sha256:eb283ee99e21ad6443c8cdb06ac5b34b1308c329cbdf03fa02b445363714c799 \ + --hash=sha256:eb72919d93e3a16fc451d3aa3d4b1698423daca1b382d3d959c9ac51297c12a8 \ + --hash=sha256:ecb47f183a8025b2aa18b546725c3657e542112ae9c0613a2af79b4fa8d04ad7 \ + --hash=sha256:f155b3a1b2a5fc89cdc70d47ee5d54e3b75e88efa34982028a35daef9ba00379 \ + --hash=sha256:f22943b7770483f6ea0721c6b11d022947a98eb0acae14694de034f4d0d38925 \ + --hash=sha256:f28b2725eb8cce327b9b3ab02415c853011dc55c95832fe90de6bc56f5315f72 \ + --hash=sha256:f88af53d6ddaf72179ef613ddc905e6f4785f712b49b80b3bef9f3525e6194b4 \ + --hash=sha256:faea288b6f0ab1902ef08f4ca6de005dccf856c4e0c4f21b8c5fce02d90a1b08 \ + --hash=sha256:fff610d7bb2256a317bb1e96f0d7862c7aa8076733ee5df0fd41bbe76a24a4f4 # via uvicorn wcwidth==0.7.0 \ --hash=sha256:5d69154c429a82910e241c738cd0e2976fac8a2dd47a1a805f4afed1c0f136f2 \ --hash=sha256:90e3a7ea092341c44b99562e75d09e4d5160fe7a3974c6fb842a101a95e7eed0 - # via prompt-toolkit + # via + # prettytable + # prompt-toolkit webcolors==25.10.0 \ --hash=sha256:032c727334856fc0b968f63daa252a1ac93d33db2f5267756623c210e57a4f1d \ --hash=sha256:62abae86504f66d0f6364c2a8520de4a0c47b80c03fc3a5f1815fedbef7c19bf @@ -6659,7 +7116,10 @@ websockets==16.0 \ werkzeug==3.1.8 \ --hash=sha256:63a77fb8892bf28ebc3178683445222aa500e48ebad5ec77b0ad80f8726b1f50 \ --hash=sha256:9bad61a4268dac112f1c5cd4630a56ede601b6ed420300677a869083d70a4c44 - # via moto + # via + # flask + # flask-cors + # moto wheel==0.47.0 \ --hash=sha256:212281cab4dff978f6cedd499cd893e1f620791ca6ff7107cf270781e587eced \ --hash=sha256:cc72bd1009ba0cf63922e28f94d9d83b920aa2bb28f798a31d0691b02fa3c9b3 @@ -7084,9 +7544,9 @@ yarl==1.23.0 \ --hash=sha256:fe8f8f5e70e6dbdfca9882cd9deaac058729bcf323cf7a58660901e55c9c94f6 \ --hash=sha256:fffc45637bcd6538de8b85f51e3df3223e4ad89bccbfca0481c08c7fc8b7ed7d # via aiohttp -zipp==3.23.1 \ - --hash=sha256:0b3596c50a5c700c9cb40ba8d86d9f2cc4807e9bedb06bcdf7fac85633e444dc \ - --hash=sha256:32120e378d32cd9714ad503c1d024619063ec28aad2248dc6672ad13edfa5110 +zipp==4.1.0 \ + --hash=sha256:25ad4e16390cd314347dd8f1de67a2ac538ae658ed4ab9db16029c07c188e97f \ + --hash=sha256:4cb57381f544315db7688e976e922a2b18cdb513d21cc194eb42232ba2a3e602 # via importlib-metadata zstandard==0.25.0 \ --hash=sha256:011d388c76b11a0c165374ce660ce2c8efa8e5d87f34996aa80f9c0816698b64 \ diff --git a/sdk/python/requirements/py3.11-minimal-requirements.txt b/sdk/python/requirements/py3.11-minimal-requirements.txt index 0a5fbedf9da..7798a5eece1 100644 --- a/sdk/python/requirements/py3.11-minimal-requirements.txt +++ b/sdk/python/requirements/py3.11-minimal-requirements.txt @@ -161,38 +161,40 @@ asn1crypto==1.5.1 \ --hash=sha256:13ae38502be632115abf8a24cbe5f4da52e3b5231990aff31123c805306ccb9c \ --hash=sha256:db4e40728b728508912cbb3d44f19ce188f218e9eba635821bb4b68564f8fd67 # via snowflake-connector-python -ast-serialize==0.4.0 \ - --hash=sha256:074032142777e3e6091977dc3c5146a8ca58ae6825b7f64e9a0b604153ddabd8 \ - --hash=sha256:1026f565a7ab846337c630909089b3346a2fe417bf1552b1581ab01852137407 \ - --hash=sha256:1c5245228e65d38cb48e1251f0ca71b0fa417e527141491e8c92f740e8e2d121 \ - --hash=sha256:1e1fb90def261f6a0db885876f7e1a49ad2dbac38ad9f2f62dba2f9543af16e7 \ - --hash=sha256:3bdde2c4570143791f636aed4e3ef868f5b46eb90a18f8d5c41dd045aab08bef \ - --hash=sha256:404f3462b4532e13a70b8849bba241dbd82e30043ff58d98c7e762fd925b116a \ - --hash=sha256:43729a5e369ebbe7750635c0c206bc616fcd36e703cb9c4497d6b4df0291ee64 \ - --hash=sha256:4738790cf54d8b416de992b87ee567056980bc82134d52458bd4985f389d1658 \ - --hash=sha256:4db9769d57deb5545ce56ebbbbe3436dcc0ae2688ce14c295cd14e106624ece7 \ - --hash=sha256:6551d55b8607b97a7755683d743200b398c61a0b71a11b7f00c89c335a11d0f4 \ - --hash=sha256:6615b39cd747967c3aabe68bf3f5f26748e823cc6b474ddc1510ed188a824149 \ - --hash=sha256:70d9c5d527bbfa69bd3c7d17dac11fb6781e36186a434a06d7d5892e0b2f88f9 \ - --hash=sha256:7234ff086cb152ea2a3b7ef895b5ebeb6d80779df049d5c6431c8e3536d5b03c \ - --hash=sha256:732b4ef76adcb0f298a7d18c4558336d83b1384f9ae0c7eaa1dc8d031b0a4390 \ - --hash=sha256:74e4e634ab82d1466acf0be27043178570b98ebeaa3165f9240a6fad4c286471 \ - --hash=sha256:79c8d015c771c8bfdb1208003b227b27c40034790a2c29c09f2317a041825ce2 \ - --hash=sha256:7fba7315fd4bd87cb5560792709f6e66e0606402d362c0a38dd32dfb66ba6066 \ - --hash=sha256:8f5153e9c44a02e61f4042c5f9249d2e8a759773d621a0b2f445a899e536e181 \ - --hash=sha256:905fc11940831454d93589bd7ce2acb6a5eb01c2936156f751d2a21087c98cd3 \ - --hash=sha256:90fc5c0d35a22f1a92dd33635508626d50f8fc64deb897c23e78e666a60804c9 \ - --hash=sha256:91362c0a9fdf1c344b7f50a5b0508b11a0732102998fbd754a191f7187e77031 \ - --hash=sha256:91d3786f3929786cdc4eeedfd110abb4603e7f6c1390c5af398f333a947b742d \ - --hash=sha256:97c55336e16f5c4ca2bde7be94cca4b8f7d665d64f7008925a82e02707ba14ac \ - --hash=sha256:9ecd6a1fc1b86f1f4e8ae206759b6319c10019706b3496b01b54d02b9b2cd918 \ - --hash=sha256:a6f26937ce0293aafbece0e39019e020369a5a70486ff4088227f0cc888844a9 \ - --hash=sha256:b3db87c4772097c0782250bcd550d66b1189a8c889793c7bcf153f4fee70005c \ - --hash=sha256:bd50d201098aae0d202805fe9606c0545492f69a3ec4403337e32c54ad29fc41 \ - --hash=sha256:cf2ff7b654c8e95143e20f5d75878cbb78b65b928b26c4d58ef71cdba9d6d981 \ - --hash=sha256:dcd04f85a29deb80400e8987cfaceb9907140f763453cbffdbd6ff36f1b32c12 \ - --hash=sha256:dcded5056d9f3d201df7833082c07ebcbc566ffc3d4105c9fc9fe278fa086ecb \ - --hash=sha256:faa008dccfcb793ae9101325e4d6d026caaa5d845c2182f03749c759834b0a3a +ast-serialize==0.5.0 \ + --hash=sha256:061ee58bdb52341c8201a6df41182a977736bae3b7ded87ca7176ca25a8a47ab \ + --hash=sha256:0668aa9459cfa8c9c49ddd2163ebcf43088ba045ef7492af6fe22e0098303101 \ + --hash=sha256:104e4a35bd7c124173c41760ef9aaea17ddb3f86c65cb643671d59afbe3ee94c \ + --hash=sha256:143a4ef63285a075871908fda3672dc21864b83a8ec3ee12304aa3e4c5387b9a \ + --hash=sha256:16db7c62ec0b8efe1d7afd283a388d8f74f2605d56032e5a37747d2de8dba027 \ + --hash=sha256:1943db345233cc7194a470f13afa9c59772c0b123dea0c9414c4d4ca54369759 \ + --hash=sha256:239a4c354e8d676e9d94631d1d4a64edc6b266f86ff3a5a80aedd344f342c01d \ + --hash=sha256:2782c36237c46dd1674542f2109740ea5ea485a169bf1431939ada0434e17934 \ + --hash=sha256:27d51654fc240a1e87e742d353d98eb45b75f62f129086b3596ab53df2ac2a43 \ + --hash=sha256:36be371028fc1675acb38a331bde160dbab7ff907fdf00b67eb6911aa106951b \ + --hash=sha256:5499e8797edff2a9186aa313ed382c6b422e798e9332d9953badcee6e69a88f2 \ + --hash=sha256:5880091bfe6f4f986f22866375c2e884843e7a0b6343ae41aeea659613d879b6 \ + --hash=sha256:6848f2a093fb5548751a9a09bff8fcd229e2bbeb0e3331f391b6ae6d26cd9903 \ + --hash=sha256:787baedb0262cc49e8ce37cc15c00ae818e46a165a3b36f5e21ed174998104cb \ + --hash=sha256:7d1a2de9de5be04652f0ed60738356ef94f66db37924a9499fffe98dc491aa0b \ + --hash=sha256:832d4c998e0b091fd60a6d6bceee535483c4d490de9ba85003af835225719261 \ + --hash=sha256:842d1c004bb466c7df036f95fabef789570541922b10976b12f5592a69cf0b38 \ + --hash=sha256:8f5c14f169eb0972c0c21bada5358b23d6047c76583b005234f865b11f1fa00a \ + --hash=sha256:92a31c9c20d25a076edaeec76b128a3535d74a24f340b9a8a7e96c9b86dc9642 \ + --hash=sha256:9cc22cf0c9be65e71cf88fda130af60d61eb4a79370ad4cfe7900d48a4aa2211 \ + --hash=sha256:b0c06d760909b095cc466356dfccd05a1c7233a6ca191c020dca2c6a6f16c24c \ + --hash=sha256:b15219e9cdc9f53f6f4cb51c009203507228226148c05c5e8fe451c28b435eb3 \ + --hash=sha256:b54f60c1d78767a53b67eaa663f0dfac3afe606aa07f1301572f588b73d64809 \ + --hash=sha256:b725026bafa801dbd7310eb13a75f0a2e370e7e51b2cb225f9d21fcfadf919ee \ + --hash=sha256:baf5eb061eb5bccade4128ad42da33787d72f6013809cd1b590376ece8b3c937 \ + --hash=sha256:be5173fb66f9b49026d9d5a2ff0fc7c7009077107c0eb285b2d60fdf1fe10bd1 \ + --hash=sha256:bf683d6363edf2b39eed6b6d4fe22d34b6203867a67e27134d9e2a2680c4bc4a \ + --hash=sha256:cae65289fc456fde04af979a2be09302ef5d8ab92ef23e596d6746dc267ada27 \ + --hash=sha256:cf25572c526add400f26a4750dc6ce0c3bb93fc1f75e7ae0cad4ce4f2cd5c590 \ + --hash=sha256:df1c00022cbbcb064bfaa505aa9c9295362443ce5dacb459d1331d3da353f887 \ + --hash=sha256:e42d729ef2be96a14efbad355093284739e3670ece3e534f82cc8832790911d9 \ + --hash=sha256:f66173891548c9f2726bf27957b41cabce12fa679dc6da505ddbde4d4b3b31cf \ + --hash=sha256:f8015cd071ac1339924ee2b8098c93e00e155f30a16f40ec9816fcf84f4753f6 # via mypy async-timeout==5.0.1 \ --hash=sha256:39e3809566ff85354557ec2398b55e096c8364bacac9405a7a1fa429e77fe76c \ @@ -457,9 +459,9 @@ charset-normalizer==3.4.7 \ # via # requests # snowflake-connector-python -click==8.3.3 \ - --hash=sha256:398329ad4837b2ff7cbe1dd166a4c0f8900c3ca3a218de04466f38f6497f18a2 \ - --hash=sha256:a2bf429bb3033c89fa4936ffb35d5cb471e3719e1f3c8a7c3fff0b8314305613 +click==8.4.0 \ + --hash=sha256:40c50b7c6c6adac2823d411041ec84f3f103f1b280d5e9ce0d7f998995832f81 \ + --hash=sha256:638f1338fe1235c8f4e008e4a8a254fb5c5fbdcbb40ece3c9142ebb78e792973 # via # feast (pyproject.toml) # dask @@ -749,9 +751,9 @@ google-api-core[grpc]==2.30.3 \ # google-cloud-datastore # google-cloud-storage # pandas-gbq -google-auth==2.52.0 \ - --hash=sha256:01f30e1a9e3638698d89464f5e603ce29d18e1c0e63ec31ac570aba4e164aaf5 \ - --hash=sha256:aee92803ba0ff93a70a3b8a35c7b4797837751cd6380b63ff38372b98f3ed627 +google-auth==2.53.0 \ + --hash=sha256:6e7449917c599b35126a99ec268ec6880301f2fea41dce198fe8fd83ff642b68 \ + --hash=sha256:e7e6aa16f6bee7b2b264830fd04f08087a1d5a836df516251a5d15327b246c9c # via # google-api-core # google-auth-oauthlib @@ -1672,79 +1674,79 @@ mypy-extensions==1.1.0 \ --hash=sha256:1be4cccdb0f2482337c4743e60421de3a356cd97508abadd57d47403e94f5505 \ --hash=sha256:52e68efc3284861e772bbcd66823fde5ae21fd2fdb51c62a211403730b916558 # via mypy -numpy==2.4.4 \ - --hash=sha256:07077278157d02f65c43b1b26a3886bce886f95d20aabd11f87932750dfb14ed \ - --hash=sha256:08f2e31ed5e6f04b118e49821397f12767934cfdd12a1ce86a058f91e004ee50 \ - --hash=sha256:0aec54fd785890ecca25a6003fd9a5aed47ad607bbac5cd64f836ad8666f4959 \ - --hash=sha256:0d35aea54ad1d420c812bfa0385c71cd7cc5bcf7c65fed95fc2cd02fe8c79827 \ - --hash=sha256:0d4e437e295f18ec29bc79daf55e8a47a9113df44d66f702f02a293d93a2d6dd \ - --hash=sha256:0dfd3f9d3adbe2920b68b5cd3d51444e13a10792ec7154cd0a2f6e74d4ab3233 \ - --hash=sha256:1378871da56ca8943c2ba674530924bb8ca40cd228358a3b5f302ad60cf875fc \ - --hash=sha256:15716cfef24d3a9762e3acdf87e27f58dc823d1348f765bbea6bef8c639bfa1b \ - --hash=sha256:19710a9ca9992d7174e9c52f643d4272dcd1558c5f7af7f6f8190f633bd651a7 \ - --hash=sha256:23cbfd4c17357c81021f21540da84ee282b9c8fba38a03b7b9d09ba6b951421e \ - --hash=sha256:2483e4584a1cb3092da4470b38866634bafb223cbcd551ee047633fd2584599a \ - --hash=sha256:27a8d92cd10f1382a67d7cf4db7ce18341b66438bdd9f691d7b0e48d104c2a9d \ - --hash=sha256:28a650663f7314afc3e6ec620f44f333c386aad9f6fc472030865dc0ebb26ee3 \ - --hash=sha256:2aa0613a5177c264ff5921051a5719d20095ea586ca88cc802c5c218d1c67d3e \ - --hash=sha256:2c194dd721e54ecad9ad387c1d35e63dce5c4450c6dc7dd5611283dda239aabb \ - --hash=sha256:2d19e6e2095506d1736b7d80595e0f252d76b89f5e715c35e06e937679ea7d7a \ - --hash=sha256:2d390634c5182175533585cc89f3608a4682ccb173cc9bb940b2881c8d6f8fa0 \ - --hash=sha256:30caa73029a225b2d40d9fae193e008e24b2026b7ee1a867b7ee8d96ca1a448e \ - --hash=sha256:42c16925aa5a02362f986765f9ebabf20de75cdefdca827d14315c568dcab113 \ - --hash=sha256:45dbed2ab436a9e826e302fcdcbe9133f9b0006e5af7168afb8963a6520da103 \ - --hash=sha256:4636de7fd195197b7535f231b5de9e4b36d2c440b6e566d2e4e4746e6af0ca93 \ - --hash=sha256:4a19d9dba1a76618dd86b164d608566f393f8ec6ac7c44f0cc879011c45e65af \ - --hash=sha256:4bbc7f303d125971f60ec0aaad5e12c62d0d2c925f0ab1273debd0e4ba37aba5 \ - --hash=sha256:4d6d57903571f86180eb98f8f0c839fa9ebbfb031356d87f1361be91e433f5b7 \ - --hash=sha256:4e874c976154687c1f71715b034739b45c7711bec81db01914770373d125e392 \ - --hash=sha256:51fc224f7ca4d92656d5a5eb315f12eb5fe2c97a66249aa7b5f562528a3be38c \ - --hash=sha256:58c8b5929fcb8287cbd6f0a3fae19c6e03a5c48402ae792962ac465224a629a4 \ - --hash=sha256:5a285b3b96f951841799528cd1f4f01cd70e7e0204b4abebac9463eecfcf2a40 \ - --hash=sha256:5c70f1cc1c4efbe316a572e2d8b9b9cc44e89b95f79ca3331553fbb63716e2bf \ - --hash=sha256:62d6b0f03b694173f9fcb1fb317f7222fd0b0b103e784c6549f5e53a27718c44 \ - --hash=sha256:6a246d5914aa1c820c9443ddcee9c02bec3e203b0c080349533fae17727dfd1b \ - --hash=sha256:6aa3236c78803afbcb255045fbef97a9e25a1f6c9888357d205ddc42f4d6eba5 \ - --hash=sha256:6bbe4eb67390b0a0265a2c25458f6b90a409d5d069f1041e6aff1e27e3d9a79e \ - --hash=sha256:715d1c092715954784bc79e1174fc2a90093dc4dc84ea15eb14dad8abdcdeb74 \ - --hash=sha256:72944b19f2324114e9dc86a159787333b77874143efcf89a5167ef83cfee8af0 \ - --hash=sha256:81f4a14bee47aec54f883e0cad2d73986640c1590eb9bfaaba7ad17394481e6e \ - --hash=sha256:846300f379b5b12cc769334464656bc882e0735d27d9726568bc932fdc49d5ec \ - --hash=sha256:86b6f55f5a352b48d7fbfd2dbc3d5b780b2d79f4d3c121f33eb6efb22e9a2015 \ - --hash=sha256:874f200b2a981c647340f841730fc3a2b54c9d940566a3c4149099591e2c4c3d \ - --hash=sha256:8a87ec22c87be071b6bdbd27920b129b94f2fc964358ce38f3822635a3e2e03d \ - --hash=sha256:8b3b60bb7cba2c8c81837661c488637eee696f59a877788a396d33150c35d842 \ - --hash=sha256:8e3ed142f2728df44263aaf5fb1f5b0b99f4070c553a0d7f033be65338329150 \ - --hash=sha256:93e15038125dc1e5345d9b5b68aa7f996ec33b98118d18c6ca0d0b7d6198b7e8 \ - --hash=sha256:989824e9faf85f96ec9c7761cd8d29c531ad857bfa1daa930cba85baaecf1a9a \ - --hash=sha256:99d838547ace2c4aace6c4f76e879ddfe02bb58a80c1549928477862b7a6d6ed \ - --hash=sha256:9b2aec6af35c113b05695ebb5749a787acd63cafc83086a05771d1e1cd1e555f \ - --hash=sha256:9c585a1790d5436a5374bac930dad6ed244c046ed91b2b2a3634eb2971d21008 \ - --hash=sha256:a7164afb23be6e37ad90b2f10426149fd75aee07ca55653d2aa41e66c4ef697e \ - --hash=sha256:ac6b31e35612a26483e20750126d30d0941f949426974cace8e6b5c58a3657b0 \ - --hash=sha256:ad2e2ef14e0b04e544ea2fa0a36463f847f113d314aa02e5b402fdf910ef309e \ - --hash=sha256:b268594bccac7d7cf5844c7732e3f20c50921d94e36d7ec9b79e9857694b1b2f \ - --hash=sha256:b5f0362dc928a6ecd9db58868fca5e48485205e3855957bdedea308f8672ea4a \ - --hash=sha256:ba1f4fc670ed79f876f70082eff4f9583c15fb9a4b89d6188412de4d18ae2f40 \ - --hash=sha256:ba203255017337d39f89bdd58417f03c4426f12beed0440cfd933cb15f8669c7 \ - --hash=sha256:c901b15172510173f5cb310eae652908340f8dede90fff9e3bf6c0d8dfd92f83 \ - --hash=sha256:c9b39d38a9bd2ae1becd7eac1303d031c5c110ad31f2b319c6e7d98b135c934d \ - --hash=sha256:d2a8490669bfe99a233298348acc2d824d496dee0e66e31b66a6022c2ad74a5c \ - --hash=sha256:dddbbd259598d7240b18c9d87c56a9d2fb3b02fe266f49a7c101532e78c1d871 \ - --hash=sha256:df3775294accfdd75f32c74ae39fcba920c9a378a2fc18a12b6820aa8c1fb502 \ - --hash=sha256:e44319a2953c738205bf3354537979eaa3998ed673395b964c1176083dd46252 \ - --hash=sha256:e4a010c27ff6f210ff4c6ef34394cd61470d01014439b192ec22552ee867f2a8 \ - --hash=sha256:e823b8b6edc81e747526f70f71a9c0a07ac4e7ad13020aa736bb7c9d67196115 \ - --hash=sha256:e892aff75639bbef0d2a2cfd55535510df26ff92f63c92cd84ef8d4ba5a5557f \ - --hash=sha256:eea7ac5d2dce4189771cedb559c738a71512768210dc4e4753b107a2048b3d0e \ - --hash=sha256:ef4059d6e5152fa1a39f888e344c73fdc926e1b2dd58c771d67b0acfbf2aa67d \ - --hash=sha256:f169b9a863d34f5d11b8698ead99febeaa17a13ca044961aa8e2662a6c7766a0 \ - --hash=sha256:f2cf083b324a467e1ab358c105f6cad5ea950f50524668a80c486ff1db24e119 \ - --hash=sha256:f8474c4241bc18b750be2abea9d7a9ec84f46ef861dbacf86a4f6e043401f79e \ - --hash=sha256:f983334aea213c99992053ede6168500e5f086ce74fbc4acc3f2b00f5762e9db \ - --hash=sha256:f9e75681b59ddaa5e659898085ae0eaea229d054f2ac0c7e563a62205a700121 \ - --hash=sha256:fbc356aae7adf9e6336d336b9c8111d390a05df88f1805573ebb0807bd06fd1d \ - --hash=sha256:fcfe2045fd2e8f3cb0ce9d4ba6dba6333b8fa05bb8a4939c908cd43322d14c7e +numpy==2.4.6 \ + --hash=sha256:001fbb8e08d942dd57599e781f2472269ee7f2755fae407b4f67b2f0b17da3f1 \ + --hash=sha256:0280e0356c0829a18d9de1cb7eee50ec22ca639878d7240307ca0943d73cd2c4 \ + --hash=sha256:043191bfa8eab18c776647b62723ac9dddece59743b13f49b2016094129c2b3f \ + --hash=sha256:06ca2f61ec4385a07a6977c55ba998a4466c123642b4a32694d3128fce18c079 \ + --hash=sha256:0a041d3d761dc3c35cc56ce0351506a02bcbc25f7b169f652435141a17db9096 \ + --hash=sha256:0ab0a9c4ffb1a6d95ef519fe4247dba8eb6b18ad93999f76b7f657039acabd47 \ + --hash=sha256:0c9136e14ed34a9e343a31c533d78a9813a69a3148332bce5e9821cb2f996e66 \ + --hash=sha256:110f8b71aacb688ec69062bb7f6938a0f8acb01b7c1c4beb453c65b6d234584d \ + --hash=sha256:112b06a867b235ef466ed3508ddf0238050df9c727cafb5301ac385b899189a1 \ + --hash=sha256:17f9ade344e7d9b464a084d69bcf18fc691cb1db67c62ed80820bf4926d78f0e \ + --hash=sha256:1e254a00cdf42b1e4d5b3d68d33af63268d41340d8885df2ab6470f2e1500147 \ + --hash=sha256:1e978ec1e8bd0e0e4de6bb75de9d30cbb74db6b6a2bb727618613703ca0167dd \ + --hash=sha256:25c692919ac5a01f170a3bfcd62d745b24fd095c353d50812637d6fcab442e75 \ + --hash=sha256:260a5d70215b61ab4fadf5c7baacd64821842975eea312125ed3c39a6391b063 \ + --hash=sha256:2803abfebfc990042cd494d8ce2d5f82e9d847af6d35ec486923aa19dbad5e73 \ + --hash=sha256:29a287e0cf63ff528da061de6b9f64a4618da591ca1046aafc54062e40ca7eab \ + --hash=sha256:29cb7f67d10b479ff07c17d33e39f78c07f71c40ef30d63c153d340e96cd3fb4 \ + --hash=sha256:3213d622a0283a39a93d188f3cf72b26862df52fbb4ca3697f51705016523d41 \ + --hash=sha256:33111801a01c12a8a1e3721f0a9232f8cfc8ae2c6b7098167e6f623c6073f402 \ + --hash=sha256:357cc07a6d7b0b182ff02249616a03742827ebb1277546b5c7cd7f7620a45698 \ + --hash=sha256:38efbc8de75c7a0fc1ac190162d892787f3f47b57cc291231aafee36b80982b7 \ + --hash=sha256:4081eb135ac24158bd51cdfbef16f1c64df7063b1143f24731387137c092bec8 \ + --hash=sha256:40fdc1ae7125e518ea98e53e69a4ebc27e1fd50510c47b7ea130cf21e5e1d42b \ + --hash=sha256:4cfe66903cc32a9921a6733d96b19bb6abf310397581bbad89c228f5abaf0ee8 \ + --hash=sha256:511dbaf848decaaaf4b4ca48032619fb3138710c4bf7da7617765edad1ef96b0 \ + --hash=sha256:55cced7c52e981362f708ad635198e97a752dfba412cc03c23bbf3bd8d5cd662 \ + --hash=sha256:56b39e5e0622a09a25bf5baf62f4bcf0cb8a41ae6e2819cf49bbc5a74c083f91 \ + --hash=sha256:5dbbdb29840ca3d91ee0fece42fc29278886d908280bfec0a5846c6f901a3eb0 \ + --hash=sha256:5f9fb9157b4ce2971008323afe46053787b526ef624fea915b261468a8421a0f \ + --hash=sha256:6180d8b35af935aed8ece3a85e0a43f87393ae0ac87c8d2c8bd2c993f7270ef3 \ + --hash=sha256:68a5124b13fa6cc2086764a20005d30bc0548146f7f5322f02fce212ca14317f \ + --hash=sha256:68bb27509ac1b9a3443094260f6326150663b06abe40b73a2f81160623da5b67 \ + --hash=sha256:6f41ae150c4e32db4f3310cdaf64b1593a03dbabe29eec77fc9b50fe64061df6 \ + --hash=sha256:7265a2f3d436e54ef9f2b52b5c937e6be778781bd97a590319d7348f1c1ca997 \ + --hash=sha256:72fbe16c6fac95aedf5937fa873445cec2110be35d8a4e9433d7501fd98dae6b \ + --hash=sha256:7d92c3819208a60205a12a245c91ad70cb0a85336659b19b834205573ac8456e \ + --hash=sha256:8155154c7c691289fe18f510b5d4657c68c67989f293f0535a91360392ff6538 \ + --hash=sha256:81a1cca95ed5bb92aa8b10dd2cdc9a0d3853a50fad926c28b5d7e8ea54389627 \ + --hash=sha256:89cd468399cfd2504718f0ba50e410dca55a170b61a02ad92bb18c8a65186e93 \ + --hash=sha256:8ad03c0965fb3c692200e74d458ca28c1dbb4ce96f9a479a8aa041ad5fabca02 \ + --hash=sha256:90f9849678c75fe7afa2d348ac842c168b0a4d3d61919687216dfc547976d853 \ + --hash=sha256:948424b06129ce883307e8cff868c31396d8dc7630a59c61d70d98dbe70f222c \ + --hash=sha256:9cd5ffd25db4e7ba6a375693b3fc0fc1791ec636c17db3720da19bde7180ec43 \ + --hash=sha256:a0df0043bdb289bde1f62da130d20df23d58b45429f752bc7a8fc5325a225ecd \ + --hash=sha256:a2c306dea656c12c68f51f4cea133cbe78ca7435eb28c735eac1d3ebe73be6e8 \ + --hash=sha256:a7830bab239b79cda9c08c2da014761cafb48da6150e1da17ac06283f43b6089 \ + --hash=sha256:a7c711e21628b52034bb5ab8d1bce291f752fcc5e92accc615778acee1ff4778 \ + --hash=sha256:aaf159caa35993cb1f56fb9b8e4610d35758e7ca005412eb1daa856a78c9c4b1 \ + --hash=sha256:ae506e6902902557576a26ff33eda8695e7ecb3cb36c3b573a0765dee114ebdb \ + --hash=sha256:b507f5c4c1d508876d1819b6bf9a49d365b96320b5d4993426b33a23ca4b8261 \ + --hash=sha256:bf162abab1c1a736333192707cef898e735a5ca00f38f27eeedf44b39d9e85eb \ + --hash=sha256:c1a2af6c6ef86344a6b0db6b97834208bf598db514f2b155042439b62605601a \ + --hash=sha256:c2d37ab77531417474168eb79d6d80b14f821a966818505d03013d0833edb7a8 \ + --hash=sha256:c4fc99836233ea196540b17ab0983aff60ed07941751930f5f4d05bc3b3b7359 \ + --hash=sha256:d581b735e177fdcdce6fed8e7e8880a3fb6ee4e3653a3ac6af01c6f4c03effc5 \ + --hash=sha256:d6da64deb6b8ed903e7560180a92f2d804ee1ba5eeb849ac2748b8c1aba1f6d7 \ + --hash=sha256:d8e8286dd7cea7895157318d1b91cdacac64c479f3cbc8dce548331728484751 \ + --hash=sha256:ddea102b48f9e339f3948bf22040944184627a30fdf7f858667673b9c5f033c8 \ + --hash=sha256:dfa20cc6ca228e6b155b11da03825975ce66aea520985dbbddf0f2a5a495c605 \ + --hash=sha256:e3e5193ef5a3dc73bceee50f7fdc2c90dbb76c42df8d8fae3d1067a583df579e \ + --hash=sha256:e3eeb0aabd6bd5ce64faae67e9935203a6991b4bc2a485a767fbafb2c5125f45 \ + --hash=sha256:e5805d5a22fd19c8ccff10a9561f9df94436b0545619ea579db2d3c35294bce2 \ + --hash=sha256:e85b752a1e912b70eaad4fafbd4d1238007ab221de2009b9a2f5ae7461239895 \ + --hash=sha256:eaf7fa2de5c0be8ae6ff8e9bea2ccd725e980541244521d8d4b5f3354a27babe \ + --hash=sha256:ebfb099f8dcf083deef3ac1ca4c1503f387cf76296fcb3816b66f5ecb5f54fdb \ + --hash=sha256:ece3d2cfe132e7d51f44a832b303895e6f2d499c5e74dfbdb06ee246147a304a \ + --hash=sha256:ed9749eef4cbd126da3dc1d6bcb3a57f5eb7ac6a6484146bdbf743f552dfc577 \ + --hash=sha256:ede83e07a75dd06bc501566c1eca2afc0d61677c1472ac9ad93fdee6e638a48d \ + --hash=sha256:ef4aea96ce4d3b074422cb4f2f64e216bf9e213004bb58ecfdf50ea02ea8eb9a \ + --hash=sha256:f3a3570c4a2a16746ac2c31a7c7c7b0c186b95ce902e33db6f28094ed7387dda \ + --hash=sha256:f407cb6b8e9d6d8c626bc73c945db1706035af8fd632295547bf1c9e46d092d6 \ + --hash=sha256:f74a575920ab21fe304421a3fc28793d82e299cae9eccb37084e9fc7f3617c20 # via # feast (pyproject.toml) # dask @@ -2305,9 +2307,9 @@ python-dotenv==1.2.2 \ # pydantic-settings # pymilvus # uvicorn -python-multipart==0.0.28 \ - --hash=sha256:10faac07eb966c3f48dc415f9dee46c04cb10d58d30a35677db8027c825ed9b6 \ - --hash=sha256:8550da197eac0f7ab748961fc9509b999fa2662ea25cef857f05249f6893c0f8 +python-multipart==0.0.29 \ + --hash=sha256:2ddcc971cef266225f54f552d8fa10bcfbb1f14446caec199060daac59ff2d69 \ + --hash=sha256:643e93849196645e2dbdd81a0f8829a23123ad7f797a84a364c6fb3563f18904 # via mcp pytz==2026.2 \ --hash=sha256:04156e608bee23d3792fd45c94ae47fae1036688e75032eea2e3bf0323d1f126 \ @@ -2767,9 +2769,9 @@ typer==0.25.1 \ --hash=sha256:75caa44ed46a03fb2dab8808753ffacdbfea88495e74c85a28c5eefcf5f39c89 \ --hash=sha256:9616eb8853a09ffeabab1698952f33c6f29ffdbceb4eaeecf571880e8d7664cc # via fastapi-mcp -types-pymysql==1.1.0.20260508 \ - --hash=sha256:49abf0c2f8d944384834544a8f25ea1b25018c3d815f7ec676f73d0b7fe0731c \ - --hash=sha256:a726e6f867e0a1027a297c89d7646e4d52b7db6ccd11b2a40780120257610c78 +types-pymysql==1.1.0.20260518 \ + --hash=sha256:39a2448c4267dc4551e0824d2bfaecf7dfd171e89e6dbba90f4d4d45d55e4342 \ + --hash=sha256:cf697ce4e44124fc859e8e8a7f047c1dc864745c3c628b85a51b3ee01502ef98 # via feast (pyproject.toml) typing-extensions==4.15.0 \ --hash=sha256:0cea48d173cc12fa28ecabc3b837ea3cf6f38c6d1136f85cbaaf598984861466 \ @@ -2954,116 +2956,114 @@ uvloop==0.22.1 \ --hash=sha256:ef6f0d4cc8a9fa1f6a910230cd53545d9a14479311e87e3cb225495952eb672c \ --hash=sha256:fe94b4564e865d968414598eea1a6de60adba0c040ba4ed05ac1300de402cd42 # via uvicorn -watchfiles==1.1.1 \ - 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--hash=sha256:e140ed30ebde76796b686e67c182cff10ea2fbab186fafd1560f74bb5a473a6e \ + --hash=sha256:e1cfd51e97e13ff3bd047c140764d277fc9b95b7cb5da59e46a47d167adab310 \ + --hash=sha256:e2ca07fa7d89195ec0865d3d285666286740bfa83d83e5cee204043a31ecc165 \ + --hash=sha256:e53a384f76b631c3ae5334ce6a52f0baa3a911eb94a4eac7f160079868b716d5 \ + --hash=sha256:eb283ee99e21ad6443c8cdb06ac5b34b1308c329cbdf03fa02b445363714c799 \ + --hash=sha256:eb72919d93e3a16fc451d3aa3d4b1698423daca1b382d3d959c9ac51297c12a8 \ + --hash=sha256:ecb47f183a8025b2aa18b546725c3657e542112ae9c0613a2af79b4fa8d04ad7 \ + --hash=sha256:f155b3a1b2a5fc89cdc70d47ee5d54e3b75e88efa34982028a35daef9ba00379 \ + --hash=sha256:f22943b7770483f6ea0721c6b11d022947a98eb0acae14694de034f4d0d38925 \ + --hash=sha256:f28b2725eb8cce327b9b3ab02415c853011dc55c95832fe90de6bc56f5315f72 \ + --hash=sha256:f88af53d6ddaf72179ef613ddc905e6f4785f712b49b80b3bef9f3525e6194b4 \ + --hash=sha256:faea288b6f0ab1902ef08f4ca6de005dccf856c4e0c4f21b8c5fce02d90a1b08 \ + --hash=sha256:fff610d7bb2256a317bb1e96f0d7862c7aa8076733ee5df0fd41bbe76a24a4f4 # via uvicorn websocket-client==1.9.0 \ --hash=sha256:9e813624b6eb619999a97dc7958469217c3176312b3a16a4bd1bc7e08a46ec98 \ @@ -3345,7 +3345,7 @@ yarl==1.23.0 \ --hash=sha256:fe8f8f5e70e6dbdfca9882cd9deaac058729bcf323cf7a58660901e55c9c94f6 \ --hash=sha256:fffc45637bcd6538de8b85f51e3df3223e4ad89bccbfca0481c08c7fc8b7ed7d # via aiohttp -zipp==3.23.1 \ - --hash=sha256:0b3596c50a5c700c9cb40ba8d86d9f2cc4807e9bedb06bcdf7fac85633e444dc \ - --hash=sha256:32120e378d32cd9714ad503c1d024619063ec28aad2248dc6672ad13edfa5110 +zipp==4.1.0 \ + --hash=sha256:25ad4e16390cd314347dd8f1de67a2ac538ae658ed4ab9db16029c07c188e97f \ + --hash=sha256:4cb57381f544315db7688e976e922a2b18cdb513d21cc194eb42232ba2a3e602 # via importlib-metadata diff --git a/sdk/python/requirements/py3.11-minimal-sdist-requirements-build.txt b/sdk/python/requirements/py3.11-minimal-sdist-requirements-build.txt index 26e2004915f..280bb1f4f7e 100644 --- a/sdk/python/requirements/py3.11-minimal-sdist-requirements-build.txt +++ b/sdk/python/requirements/py3.11-minimal-sdist-requirements-build.txt @@ -4,38 +4,40 @@ # # pybuild-deps compile --generate-hashes --output-file=sdk/python/requirements/py3.11-minimal-sdist-requirements-build.txt sdk/python/requirements/py3.11-minimal-sdist-requirements.txt # -ast-serialize==0.4.0 \ - --hash=sha256:074032142777e3e6091977dc3c5146a8ca58ae6825b7f64e9a0b604153ddabd8 \ - --hash=sha256:1026f565a7ab846337c630909089b3346a2fe417bf1552b1581ab01852137407 \ - --hash=sha256:1c5245228e65d38cb48e1251f0ca71b0fa417e527141491e8c92f740e8e2d121 \ - --hash=sha256:1e1fb90def261f6a0db885876f7e1a49ad2dbac38ad9f2f62dba2f9543af16e7 \ - --hash=sha256:3bdde2c4570143791f636aed4e3ef868f5b46eb90a18f8d5c41dd045aab08bef \ - --hash=sha256:404f3462b4532e13a70b8849bba241dbd82e30043ff58d98c7e762fd925b116a \ - --hash=sha256:43729a5e369ebbe7750635c0c206bc616fcd36e703cb9c4497d6b4df0291ee64 \ - --hash=sha256:4738790cf54d8b416de992b87ee567056980bc82134d52458bd4985f389d1658 \ - --hash=sha256:4db9769d57deb5545ce56ebbbbe3436dcc0ae2688ce14c295cd14e106624ece7 \ - --hash=sha256:6551d55b8607b97a7755683d743200b398c61a0b71a11b7f00c89c335a11d0f4 \ - --hash=sha256:6615b39cd747967c3aabe68bf3f5f26748e823cc6b474ddc1510ed188a824149 \ - --hash=sha256:70d9c5d527bbfa69bd3c7d17dac11fb6781e36186a434a06d7d5892e0b2f88f9 \ - --hash=sha256:7234ff086cb152ea2a3b7ef895b5ebeb6d80779df049d5c6431c8e3536d5b03c \ - --hash=sha256:732b4ef76adcb0f298a7d18c4558336d83b1384f9ae0c7eaa1dc8d031b0a4390 \ - --hash=sha256:74e4e634ab82d1466acf0be27043178570b98ebeaa3165f9240a6fad4c286471 \ - --hash=sha256:79c8d015c771c8bfdb1208003b227b27c40034790a2c29c09f2317a041825ce2 \ - --hash=sha256:7fba7315fd4bd87cb5560792709f6e66e0606402d362c0a38dd32dfb66ba6066 \ - --hash=sha256:8f5153e9c44a02e61f4042c5f9249d2e8a759773d621a0b2f445a899e536e181 \ - --hash=sha256:905fc11940831454d93589bd7ce2acb6a5eb01c2936156f751d2a21087c98cd3 \ - --hash=sha256:90fc5c0d35a22f1a92dd33635508626d50f8fc64deb897c23e78e666a60804c9 \ - --hash=sha256:91362c0a9fdf1c344b7f50a5b0508b11a0732102998fbd754a191f7187e77031 \ - --hash=sha256:91d3786f3929786cdc4eeedfd110abb4603e7f6c1390c5af398f333a947b742d \ - --hash=sha256:97c55336e16f5c4ca2bde7be94cca4b8f7d665d64f7008925a82e02707ba14ac \ - --hash=sha256:9ecd6a1fc1b86f1f4e8ae206759b6319c10019706b3496b01b54d02b9b2cd918 \ - --hash=sha256:a6f26937ce0293aafbece0e39019e020369a5a70486ff4088227f0cc888844a9 \ - --hash=sha256:b3db87c4772097c0782250bcd550d66b1189a8c889793c7bcf153f4fee70005c \ - --hash=sha256:bd50d201098aae0d202805fe9606c0545492f69a3ec4403337e32c54ad29fc41 \ - --hash=sha256:cf2ff7b654c8e95143e20f5d75878cbb78b65b928b26c4d58ef71cdba9d6d981 \ - --hash=sha256:dcd04f85a29deb80400e8987cfaceb9907140f763453cbffdbd6ff36f1b32c12 \ - --hash=sha256:dcded5056d9f3d201df7833082c07ebcbc566ffc3d4105c9fc9fe278fa086ecb \ - --hash=sha256:faa008dccfcb793ae9101325e4d6d026caaa5d845c2182f03749c759834b0a3a +ast-serialize==0.5.0 \ + --hash=sha256:061ee58bdb52341c8201a6df41182a977736bae3b7ded87ca7176ca25a8a47ab \ + --hash=sha256:0668aa9459cfa8c9c49ddd2163ebcf43088ba045ef7492af6fe22e0098303101 \ + --hash=sha256:104e4a35bd7c124173c41760ef9aaea17ddb3f86c65cb643671d59afbe3ee94c \ + --hash=sha256:143a4ef63285a075871908fda3672dc21864b83a8ec3ee12304aa3e4c5387b9a \ + --hash=sha256:16db7c62ec0b8efe1d7afd283a388d8f74f2605d56032e5a37747d2de8dba027 \ + --hash=sha256:1943db345233cc7194a470f13afa9c59772c0b123dea0c9414c4d4ca54369759 \ + --hash=sha256:239a4c354e8d676e9d94631d1d4a64edc6b266f86ff3a5a80aedd344f342c01d \ + --hash=sha256:2782c36237c46dd1674542f2109740ea5ea485a169bf1431939ada0434e17934 \ + --hash=sha256:27d51654fc240a1e87e742d353d98eb45b75f62f129086b3596ab53df2ac2a43 \ + --hash=sha256:36be371028fc1675acb38a331bde160dbab7ff907fdf00b67eb6911aa106951b \ + --hash=sha256:5499e8797edff2a9186aa313ed382c6b422e798e9332d9953badcee6e69a88f2 \ + --hash=sha256:5880091bfe6f4f986f22866375c2e884843e7a0b6343ae41aeea659613d879b6 \ + --hash=sha256:6848f2a093fb5548751a9a09bff8fcd229e2bbeb0e3331f391b6ae6d26cd9903 \ + --hash=sha256:787baedb0262cc49e8ce37cc15c00ae818e46a165a3b36f5e21ed174998104cb \ + --hash=sha256:7d1a2de9de5be04652f0ed60738356ef94f66db37924a9499fffe98dc491aa0b \ + --hash=sha256:832d4c998e0b091fd60a6d6bceee535483c4d490de9ba85003af835225719261 \ + --hash=sha256:842d1c004bb466c7df036f95fabef789570541922b10976b12f5592a69cf0b38 \ + --hash=sha256:8f5c14f169eb0972c0c21bada5358b23d6047c76583b005234f865b11f1fa00a \ + --hash=sha256:92a31c9c20d25a076edaeec76b128a3535d74a24f340b9a8a7e96c9b86dc9642 \ + --hash=sha256:9cc22cf0c9be65e71cf88fda130af60d61eb4a79370ad4cfe7900d48a4aa2211 \ + --hash=sha256:b0c06d760909b095cc466356dfccd05a1c7233a6ca191c020dca2c6a6f16c24c \ + --hash=sha256:b15219e9cdc9f53f6f4cb51c009203507228226148c05c5e8fe451c28b435eb3 \ + --hash=sha256:b54f60c1d78767a53b67eaa663f0dfac3afe606aa07f1301572f588b73d64809 \ + --hash=sha256:b725026bafa801dbd7310eb13a75f0a2e370e7e51b2cb225f9d21fcfadf919ee \ + --hash=sha256:baf5eb061eb5bccade4128ad42da33787d72f6013809cd1b590376ece8b3c937 \ + --hash=sha256:be5173fb66f9b49026d9d5a2ff0fc7c7009077107c0eb285b2d60fdf1fe10bd1 \ + --hash=sha256:bf683d6363edf2b39eed6b6d4fe22d34b6203867a67e27134d9e2a2680c4bc4a \ + --hash=sha256:cae65289fc456fde04af979a2be09302ef5d8ab92ef23e596d6746dc267ada27 \ + --hash=sha256:cf25572c526add400f26a4750dc6ce0c3bb93fc1f75e7ae0cad4ce4f2cd5c590 \ + --hash=sha256:df1c00022cbbcb064bfaa505aa9c9295362443ce5dacb459d1331d3da353f887 \ + --hash=sha256:e42d729ef2be96a14efbad355093284739e3670ece3e534f82cc8832790911d9 \ + --hash=sha256:f66173891548c9f2726bf27957b41cabce12fa679dc6da505ddbde4d4b3b31cf \ + --hash=sha256:f8015cd071ac1339924ee2b8098c93e00e155f30a16f40ec9816fcf84f4753f6 # via mypy calver==2025.3.31 \ --hash=sha256:07511edf5e7fa75ae97445c8c5921240e0fe62937289a3ebe6963eddd3c691b6 \ @@ -649,79 +651,79 @@ mypy-extensions==1.1.0 \ --hash=sha256:1be4cccdb0f2482337c4743e60421de3a356cd97508abadd57d47403e94f5505 \ --hash=sha256:52e68efc3284861e772bbcd66823fde5ae21fd2fdb51c62a211403730b916558 # via mypy -numpy==2.4.4 \ - --hash=sha256:07077278157d02f65c43b1b26a3886bce886f95d20aabd11f87932750dfb14ed \ - --hash=sha256:08f2e31ed5e6f04b118e49821397f12767934cfdd12a1ce86a058f91e004ee50 \ - --hash=sha256:0aec54fd785890ecca25a6003fd9a5aed47ad607bbac5cd64f836ad8666f4959 \ - --hash=sha256:0d35aea54ad1d420c812bfa0385c71cd7cc5bcf7c65fed95fc2cd02fe8c79827 \ - --hash=sha256:0d4e437e295f18ec29bc79daf55e8a47a9113df44d66f702f02a293d93a2d6dd \ - --hash=sha256:0dfd3f9d3adbe2920b68b5cd3d51444e13a10792ec7154cd0a2f6e74d4ab3233 \ - --hash=sha256:1378871da56ca8943c2ba674530924bb8ca40cd228358a3b5f302ad60cf875fc \ - --hash=sha256:15716cfef24d3a9762e3acdf87e27f58dc823d1348f765bbea6bef8c639bfa1b \ - --hash=sha256:19710a9ca9992d7174e9c52f643d4272dcd1558c5f7af7f6f8190f633bd651a7 \ - --hash=sha256:23cbfd4c17357c81021f21540da84ee282b9c8fba38a03b7b9d09ba6b951421e \ - --hash=sha256:2483e4584a1cb3092da4470b38866634bafb223cbcd551ee047633fd2584599a \ - --hash=sha256:27a8d92cd10f1382a67d7cf4db7ce18341b66438bdd9f691d7b0e48d104c2a9d \ - --hash=sha256:28a650663f7314afc3e6ec620f44f333c386aad9f6fc472030865dc0ebb26ee3 \ - --hash=sha256:2aa0613a5177c264ff5921051a5719d20095ea586ca88cc802c5c218d1c67d3e \ - --hash=sha256:2c194dd721e54ecad9ad387c1d35e63dce5c4450c6dc7dd5611283dda239aabb \ - --hash=sha256:2d19e6e2095506d1736b7d80595e0f252d76b89f5e715c35e06e937679ea7d7a \ - --hash=sha256:2d390634c5182175533585cc89f3608a4682ccb173cc9bb940b2881c8d6f8fa0 \ - --hash=sha256:30caa73029a225b2d40d9fae193e008e24b2026b7ee1a867b7ee8d96ca1a448e \ - --hash=sha256:42c16925aa5a02362f986765f9ebabf20de75cdefdca827d14315c568dcab113 \ - --hash=sha256:45dbed2ab436a9e826e302fcdcbe9133f9b0006e5af7168afb8963a6520da103 \ - --hash=sha256:4636de7fd195197b7535f231b5de9e4b36d2c440b6e566d2e4e4746e6af0ca93 \ - --hash=sha256:4a19d9dba1a76618dd86b164d608566f393f8ec6ac7c44f0cc879011c45e65af \ - --hash=sha256:4bbc7f303d125971f60ec0aaad5e12c62d0d2c925f0ab1273debd0e4ba37aba5 \ - --hash=sha256:4d6d57903571f86180eb98f8f0c839fa9ebbfb031356d87f1361be91e433f5b7 \ - --hash=sha256:4e874c976154687c1f71715b034739b45c7711bec81db01914770373d125e392 \ - --hash=sha256:51fc224f7ca4d92656d5a5eb315f12eb5fe2c97a66249aa7b5f562528a3be38c \ - --hash=sha256:58c8b5929fcb8287cbd6f0a3fae19c6e03a5c48402ae792962ac465224a629a4 \ - --hash=sha256:5a285b3b96f951841799528cd1f4f01cd70e7e0204b4abebac9463eecfcf2a40 \ - --hash=sha256:5c70f1cc1c4efbe316a572e2d8b9b9cc44e89b95f79ca3331553fbb63716e2bf \ - --hash=sha256:62d6b0f03b694173f9fcb1fb317f7222fd0b0b103e784c6549f5e53a27718c44 \ - --hash=sha256:6a246d5914aa1c820c9443ddcee9c02bec3e203b0c080349533fae17727dfd1b \ - --hash=sha256:6aa3236c78803afbcb255045fbef97a9e25a1f6c9888357d205ddc42f4d6eba5 \ - --hash=sha256:6bbe4eb67390b0a0265a2c25458f6b90a409d5d069f1041e6aff1e27e3d9a79e \ - --hash=sha256:715d1c092715954784bc79e1174fc2a90093dc4dc84ea15eb14dad8abdcdeb74 \ - --hash=sha256:72944b19f2324114e9dc86a159787333b77874143efcf89a5167ef83cfee8af0 \ - --hash=sha256:81f4a14bee47aec54f883e0cad2d73986640c1590eb9bfaaba7ad17394481e6e \ - --hash=sha256:846300f379b5b12cc769334464656bc882e0735d27d9726568bc932fdc49d5ec \ - --hash=sha256:86b6f55f5a352b48d7fbfd2dbc3d5b780b2d79f4d3c121f33eb6efb22e9a2015 \ - --hash=sha256:874f200b2a981c647340f841730fc3a2b54c9d940566a3c4149099591e2c4c3d \ - --hash=sha256:8a87ec22c87be071b6bdbd27920b129b94f2fc964358ce38f3822635a3e2e03d \ - --hash=sha256:8b3b60bb7cba2c8c81837661c488637eee696f59a877788a396d33150c35d842 \ - --hash=sha256:8e3ed142f2728df44263aaf5fb1f5b0b99f4070c553a0d7f033be65338329150 \ - --hash=sha256:93e15038125dc1e5345d9b5b68aa7f996ec33b98118d18c6ca0d0b7d6198b7e8 \ - --hash=sha256:989824e9faf85f96ec9c7761cd8d29c531ad857bfa1daa930cba85baaecf1a9a \ - --hash=sha256:99d838547ace2c4aace6c4f76e879ddfe02bb58a80c1549928477862b7a6d6ed \ - --hash=sha256:9b2aec6af35c113b05695ebb5749a787acd63cafc83086a05771d1e1cd1e555f \ - --hash=sha256:9c585a1790d5436a5374bac930dad6ed244c046ed91b2b2a3634eb2971d21008 \ - --hash=sha256:a7164afb23be6e37ad90b2f10426149fd75aee07ca55653d2aa41e66c4ef697e \ - --hash=sha256:ac6b31e35612a26483e20750126d30d0941f949426974cace8e6b5c58a3657b0 \ - --hash=sha256:ad2e2ef14e0b04e544ea2fa0a36463f847f113d314aa02e5b402fdf910ef309e \ - --hash=sha256:b268594bccac7d7cf5844c7732e3f20c50921d94e36d7ec9b79e9857694b1b2f \ - --hash=sha256:b5f0362dc928a6ecd9db58868fca5e48485205e3855957bdedea308f8672ea4a \ - --hash=sha256:ba1f4fc670ed79f876f70082eff4f9583c15fb9a4b89d6188412de4d18ae2f40 \ - --hash=sha256:ba203255017337d39f89bdd58417f03c4426f12beed0440cfd933cb15f8669c7 \ - --hash=sha256:c901b15172510173f5cb310eae652908340f8dede90fff9e3bf6c0d8dfd92f83 \ - --hash=sha256:c9b39d38a9bd2ae1becd7eac1303d031c5c110ad31f2b319c6e7d98b135c934d \ - --hash=sha256:d2a8490669bfe99a233298348acc2d824d496dee0e66e31b66a6022c2ad74a5c \ - --hash=sha256:dddbbd259598d7240b18c9d87c56a9d2fb3b02fe266f49a7c101532e78c1d871 \ - --hash=sha256:df3775294accfdd75f32c74ae39fcba920c9a378a2fc18a12b6820aa8c1fb502 \ - --hash=sha256:e44319a2953c738205bf3354537979eaa3998ed673395b964c1176083dd46252 \ - --hash=sha256:e4a010c27ff6f210ff4c6ef34394cd61470d01014439b192ec22552ee867f2a8 \ - --hash=sha256:e823b8b6edc81e747526f70f71a9c0a07ac4e7ad13020aa736bb7c9d67196115 \ - --hash=sha256:e892aff75639bbef0d2a2cfd55535510df26ff92f63c92cd84ef8d4ba5a5557f \ - --hash=sha256:eea7ac5d2dce4189771cedb559c738a71512768210dc4e4753b107a2048b3d0e \ - --hash=sha256:ef4059d6e5152fa1a39f888e344c73fdc926e1b2dd58c771d67b0acfbf2aa67d \ - --hash=sha256:f169b9a863d34f5d11b8698ead99febeaa17a13ca044961aa8e2662a6c7766a0 \ - --hash=sha256:f2cf083b324a467e1ab358c105f6cad5ea950f50524668a80c486ff1db24e119 \ - --hash=sha256:f8474c4241bc18b750be2abea9d7a9ec84f46ef861dbacf86a4f6e043401f79e \ - --hash=sha256:f983334aea213c99992053ede6168500e5f086ce74fbc4acc3f2b00f5762e9db \ - --hash=sha256:f9e75681b59ddaa5e659898085ae0eaea229d054f2ac0c7e563a62205a700121 \ - --hash=sha256:fbc356aae7adf9e6336d336b9c8111d390a05df88f1805573ebb0807bd06fd1d \ - --hash=sha256:fcfe2045fd2e8f3cb0ce9d4ba6dba6333b8fa05bb8a4939c908cd43322d14c7e +numpy==2.4.6 \ + --hash=sha256:001fbb8e08d942dd57599e781f2472269ee7f2755fae407b4f67b2f0b17da3f1 \ + --hash=sha256:0280e0356c0829a18d9de1cb7eee50ec22ca639878d7240307ca0943d73cd2c4 \ + --hash=sha256:043191bfa8eab18c776647b62723ac9dddece59743b13f49b2016094129c2b3f \ + --hash=sha256:06ca2f61ec4385a07a6977c55ba998a4466c123642b4a32694d3128fce18c079 \ + --hash=sha256:0a041d3d761dc3c35cc56ce0351506a02bcbc25f7b169f652435141a17db9096 \ + --hash=sha256:0ab0a9c4ffb1a6d95ef519fe4247dba8eb6b18ad93999f76b7f657039acabd47 \ + --hash=sha256:0c9136e14ed34a9e343a31c533d78a9813a69a3148332bce5e9821cb2f996e66 \ + --hash=sha256:110f8b71aacb688ec69062bb7f6938a0f8acb01b7c1c4beb453c65b6d234584d \ + --hash=sha256:112b06a867b235ef466ed3508ddf0238050df9c727cafb5301ac385b899189a1 \ + --hash=sha256:17f9ade344e7d9b464a084d69bcf18fc691cb1db67c62ed80820bf4926d78f0e \ + --hash=sha256:1e254a00cdf42b1e4d5b3d68d33af63268d41340d8885df2ab6470f2e1500147 \ + --hash=sha256:1e978ec1e8bd0e0e4de6bb75de9d30cbb74db6b6a2bb727618613703ca0167dd \ + --hash=sha256:25c692919ac5a01f170a3bfcd62d745b24fd095c353d50812637d6fcab442e75 \ + --hash=sha256:260a5d70215b61ab4fadf5c7baacd64821842975eea312125ed3c39a6391b063 \ + --hash=sha256:2803abfebfc990042cd494d8ce2d5f82e9d847af6d35ec486923aa19dbad5e73 \ + --hash=sha256:29a287e0cf63ff528da061de6b9f64a4618da591ca1046aafc54062e40ca7eab \ + --hash=sha256:29cb7f67d10b479ff07c17d33e39f78c07f71c40ef30d63c153d340e96cd3fb4 \ + --hash=sha256:3213d622a0283a39a93d188f3cf72b26862df52fbb4ca3697f51705016523d41 \ + --hash=sha256:33111801a01c12a8a1e3721f0a9232f8cfc8ae2c6b7098167e6f623c6073f402 \ + --hash=sha256:357cc07a6d7b0b182ff02249616a03742827ebb1277546b5c7cd7f7620a45698 \ + --hash=sha256:38efbc8de75c7a0fc1ac190162d892787f3f47b57cc291231aafee36b80982b7 \ + --hash=sha256:4081eb135ac24158bd51cdfbef16f1c64df7063b1143f24731387137c092bec8 \ + --hash=sha256:40fdc1ae7125e518ea98e53e69a4ebc27e1fd50510c47b7ea130cf21e5e1d42b \ + --hash=sha256:4cfe66903cc32a9921a6733d96b19bb6abf310397581bbad89c228f5abaf0ee8 \ + --hash=sha256:511dbaf848decaaaf4b4ca48032619fb3138710c4bf7da7617765edad1ef96b0 \ + --hash=sha256:55cced7c52e981362f708ad635198e97a752dfba412cc03c23bbf3bd8d5cd662 \ + --hash=sha256:56b39e5e0622a09a25bf5baf62f4bcf0cb8a41ae6e2819cf49bbc5a74c083f91 \ + --hash=sha256:5dbbdb29840ca3d91ee0fece42fc29278886d908280bfec0a5846c6f901a3eb0 \ + --hash=sha256:5f9fb9157b4ce2971008323afe46053787b526ef624fea915b261468a8421a0f \ + --hash=sha256:6180d8b35af935aed8ece3a85e0a43f87393ae0ac87c8d2c8bd2c993f7270ef3 \ + --hash=sha256:68a5124b13fa6cc2086764a20005d30bc0548146f7f5322f02fce212ca14317f \ + --hash=sha256:68bb27509ac1b9a3443094260f6326150663b06abe40b73a2f81160623da5b67 \ + --hash=sha256:6f41ae150c4e32db4f3310cdaf64b1593a03dbabe29eec77fc9b50fe64061df6 \ + --hash=sha256:7265a2f3d436e54ef9f2b52b5c937e6be778781bd97a590319d7348f1c1ca997 \ + --hash=sha256:72fbe16c6fac95aedf5937fa873445cec2110be35d8a4e9433d7501fd98dae6b \ + --hash=sha256:7d92c3819208a60205a12a245c91ad70cb0a85336659b19b834205573ac8456e \ + --hash=sha256:8155154c7c691289fe18f510b5d4657c68c67989f293f0535a91360392ff6538 \ + --hash=sha256:81a1cca95ed5bb92aa8b10dd2cdc9a0d3853a50fad926c28b5d7e8ea54389627 \ + --hash=sha256:89cd468399cfd2504718f0ba50e410dca55a170b61a02ad92bb18c8a65186e93 \ + --hash=sha256:8ad03c0965fb3c692200e74d458ca28c1dbb4ce96f9a479a8aa041ad5fabca02 \ + --hash=sha256:90f9849678c75fe7afa2d348ac842c168b0a4d3d61919687216dfc547976d853 \ + --hash=sha256:948424b06129ce883307e8cff868c31396d8dc7630a59c61d70d98dbe70f222c \ + --hash=sha256:9cd5ffd25db4e7ba6a375693b3fc0fc1791ec636c17db3720da19bde7180ec43 \ + --hash=sha256:a0df0043bdb289bde1f62da130d20df23d58b45429f752bc7a8fc5325a225ecd \ + --hash=sha256:a2c306dea656c12c68f51f4cea133cbe78ca7435eb28c735eac1d3ebe73be6e8 \ + --hash=sha256:a7830bab239b79cda9c08c2da014761cafb48da6150e1da17ac06283f43b6089 \ + --hash=sha256:a7c711e21628b52034bb5ab8d1bce291f752fcc5e92accc615778acee1ff4778 \ + --hash=sha256:aaf159caa35993cb1f56fb9b8e4610d35758e7ca005412eb1daa856a78c9c4b1 \ + --hash=sha256:ae506e6902902557576a26ff33eda8695e7ecb3cb36c3b573a0765dee114ebdb \ + --hash=sha256:b507f5c4c1d508876d1819b6bf9a49d365b96320b5d4993426b33a23ca4b8261 \ + --hash=sha256:bf162abab1c1a736333192707cef898e735a5ca00f38f27eeedf44b39d9e85eb \ + --hash=sha256:c1a2af6c6ef86344a6b0db6b97834208bf598db514f2b155042439b62605601a \ + --hash=sha256:c2d37ab77531417474168eb79d6d80b14f821a966818505d03013d0833edb7a8 \ + --hash=sha256:c4fc99836233ea196540b17ab0983aff60ed07941751930f5f4d05bc3b3b7359 \ + --hash=sha256:d581b735e177fdcdce6fed8e7e8880a3fb6ee4e3653a3ac6af01c6f4c03effc5 \ + --hash=sha256:d6da64deb6b8ed903e7560180a92f2d804ee1ba5eeb849ac2748b8c1aba1f6d7 \ + --hash=sha256:d8e8286dd7cea7895157318d1b91cdacac64c479f3cbc8dce548331728484751 \ + --hash=sha256:ddea102b48f9e339f3948bf22040944184627a30fdf7f858667673b9c5f033c8 \ + --hash=sha256:dfa20cc6ca228e6b155b11da03825975ce66aea520985dbbddf0f2a5a495c605 \ + --hash=sha256:e3e5193ef5a3dc73bceee50f7fdc2c90dbb76c42df8d8fae3d1067a583df579e \ + --hash=sha256:e3eeb0aabd6bd5ce64faae67e9935203a6991b4bc2a485a767fbafb2c5125f45 \ + --hash=sha256:e5805d5a22fd19c8ccff10a9561f9df94436b0545619ea579db2d3c35294bce2 \ + --hash=sha256:e85b752a1e912b70eaad4fafbd4d1238007ab221de2009b9a2f5ae7461239895 \ + --hash=sha256:eaf7fa2de5c0be8ae6ff8e9bea2ccd725e980541244521d8d4b5f3354a27babe \ + --hash=sha256:ebfb099f8dcf083deef3ac1ca4c1503f387cf76296fcb3816b66f5ecb5f54fdb \ + --hash=sha256:ece3d2cfe132e7d51f44a832b303895e6f2d499c5e74dfbdb06ee246147a304a \ + --hash=sha256:ed9749eef4cbd126da3dc1d6bcb3a57f5eb7ac6a6484146bdbf743f552dfc577 \ + --hash=sha256:ede83e07a75dd06bc501566c1eca2afc0d61677c1472ac9ad93fdee6e638a48d \ + --hash=sha256:ef4aea96ce4d3b074422cb4f2f64e216bf9e213004bb58ecfdf50ea02ea8eb9a \ + --hash=sha256:f3a3570c4a2a16746ac2c31a7c7c7b0c186b95ce902e33db6f28094ed7387dda \ + --hash=sha256:f407cb6b8e9d6d8c626bc73c945db1706035af8fd632295547bf1c9e46d092d6 \ + --hash=sha256:f74a575920ab21fe304421a3fc28793d82e299cae9eccb37084e9fc7f3617c20 # via # pandas # pyarrow @@ -872,9 +874,9 @@ semantic-version==2.10.0 \ --hash=sha256:bdabb6d336998cbb378d4b9db3a4b56a1e3235701dc05ea2690d9a997ed5041c \ --hash=sha256:de78a3b8e0feda74cabc54aab2da702113e33ac9d9eb9d2389bcf1f58b7d9177 # via setuptools-rust -setuptools-git-versioning==3.0.1 \ - --hash=sha256:737c4d17e848edd46e28764a19dc424d8537fcb2257022e5f4f5c0c8e9b64c80 \ - --hash=sha256:c8a599bacf163b5d215552b5701faf5480ffc4d65426a5711a010b802e1590eb +setuptools-git-versioning==3.1.0 \ + --hash=sha256:3a68f3fd58a2a5e86b0792435cfa9d8e569ab60ee5e4c29228c09da9b637bf18 \ + --hash=sha256:612dfcf184addac9e1c2216f4f229724b2390e5bf613fb925ae80b84f2529172 # via toolz setuptools-rust==1.12.1 \ --hash=sha256:85ae70989d96c9cfeb5ef79cf3bac2d5200bc5564f720a06edceedbdf6664640 \ @@ -975,9 +977,9 @@ types-psutil==7.0.0.20250218 \ --hash=sha256:1447a30c282aafefcf8941ece854e1100eee7b0296a9d9be9977292f0269b121 \ --hash=sha256:1e642cdafe837b240295b23b1cbd4691d80b08a07d29932143cbbae30eb0db9c # via mypy -types-setuptools==82.0.0.20260508 \ - --hash=sha256:ba1d863bbd11526d7232bca8d5a4aebe1d38fa1677a550f47a2692b7d5776900 \ - --hash=sha256:e76ade6f42ba9b4211636b84b65a8e55948a67ffe81f9a44e66b8af93d57e77e +types-setuptools==82.0.0.20260518 \ + --hash=sha256:31c04a62b57a653a5021caf191be0f10f70df890f813b51f02bab3969d300f20 \ + --hash=sha256:3b743cfe63d0981ea4c15b90710fc1ed41e3464a537d51e705be514e891c1d07 # via mypy typing-extensions==4.15.0 \ --hash=sha256:0cea48d173cc12fa28ecabc3b837ea3cf6f38c6d1136f85cbaaf598984861466 \ diff --git a/sdk/python/requirements/py3.11-minimal-sdist-requirements.txt b/sdk/python/requirements/py3.11-minimal-sdist-requirements.txt index ac7664e360f..50a8d8eb80f 100644 --- a/sdk/python/requirements/py3.11-minimal-sdist-requirements.txt +++ b/sdk/python/requirements/py3.11-minimal-sdist-requirements.txt @@ -165,38 +165,40 @@ asn1crypto==1.5.1 \ --hash=sha256:13ae38502be632115abf8a24cbe5f4da52e3b5231990aff31123c805306ccb9c \ --hash=sha256:db4e40728b728508912cbb3d44f19ce188f218e9eba635821bb4b68564f8fd67 # via snowflake-connector-python -ast-serialize==0.4.0 \ - --hash=sha256:074032142777e3e6091977dc3c5146a8ca58ae6825b7f64e9a0b604153ddabd8 \ - --hash=sha256:1026f565a7ab846337c630909089b3346a2fe417bf1552b1581ab01852137407 \ - --hash=sha256:1c5245228e65d38cb48e1251f0ca71b0fa417e527141491e8c92f740e8e2d121 \ - --hash=sha256:1e1fb90def261f6a0db885876f7e1a49ad2dbac38ad9f2f62dba2f9543af16e7 \ - --hash=sha256:3bdde2c4570143791f636aed4e3ef868f5b46eb90a18f8d5c41dd045aab08bef \ - --hash=sha256:404f3462b4532e13a70b8849bba241dbd82e30043ff58d98c7e762fd925b116a \ - --hash=sha256:43729a5e369ebbe7750635c0c206bc616fcd36e703cb9c4497d6b4df0291ee64 \ - --hash=sha256:4738790cf54d8b416de992b87ee567056980bc82134d52458bd4985f389d1658 \ - --hash=sha256:4db9769d57deb5545ce56ebbbbe3436dcc0ae2688ce14c295cd14e106624ece7 \ - --hash=sha256:6551d55b8607b97a7755683d743200b398c61a0b71a11b7f00c89c335a11d0f4 \ - --hash=sha256:6615b39cd747967c3aabe68bf3f5f26748e823cc6b474ddc1510ed188a824149 \ - --hash=sha256:70d9c5d527bbfa69bd3c7d17dac11fb6781e36186a434a06d7d5892e0b2f88f9 \ - --hash=sha256:7234ff086cb152ea2a3b7ef895b5ebeb6d80779df049d5c6431c8e3536d5b03c \ - --hash=sha256:732b4ef76adcb0f298a7d18c4558336d83b1384f9ae0c7eaa1dc8d031b0a4390 \ - --hash=sha256:74e4e634ab82d1466acf0be27043178570b98ebeaa3165f9240a6fad4c286471 \ - --hash=sha256:79c8d015c771c8bfdb1208003b227b27c40034790a2c29c09f2317a041825ce2 \ - --hash=sha256:7fba7315fd4bd87cb5560792709f6e66e0606402d362c0a38dd32dfb66ba6066 \ - --hash=sha256:8f5153e9c44a02e61f4042c5f9249d2e8a759773d621a0b2f445a899e536e181 \ - --hash=sha256:905fc11940831454d93589bd7ce2acb6a5eb01c2936156f751d2a21087c98cd3 \ - --hash=sha256:90fc5c0d35a22f1a92dd33635508626d50f8fc64deb897c23e78e666a60804c9 \ - --hash=sha256:91362c0a9fdf1c344b7f50a5b0508b11a0732102998fbd754a191f7187e77031 \ - --hash=sha256:91d3786f3929786cdc4eeedfd110abb4603e7f6c1390c5af398f333a947b742d \ - --hash=sha256:97c55336e16f5c4ca2bde7be94cca4b8f7d665d64f7008925a82e02707ba14ac \ - --hash=sha256:9ecd6a1fc1b86f1f4e8ae206759b6319c10019706b3496b01b54d02b9b2cd918 \ - --hash=sha256:a6f26937ce0293aafbece0e39019e020369a5a70486ff4088227f0cc888844a9 \ - --hash=sha256:b3db87c4772097c0782250bcd550d66b1189a8c889793c7bcf153f4fee70005c \ - --hash=sha256:bd50d201098aae0d202805fe9606c0545492f69a3ec4403337e32c54ad29fc41 \ - --hash=sha256:cf2ff7b654c8e95143e20f5d75878cbb78b65b928b26c4d58ef71cdba9d6d981 \ - --hash=sha256:dcd04f85a29deb80400e8987cfaceb9907140f763453cbffdbd6ff36f1b32c12 \ - --hash=sha256:dcded5056d9f3d201df7833082c07ebcbc566ffc3d4105c9fc9fe278fa086ecb \ - --hash=sha256:faa008dccfcb793ae9101325e4d6d026caaa5d845c2182f03749c759834b0a3a +ast-serialize==0.5.0 \ + --hash=sha256:061ee58bdb52341c8201a6df41182a977736bae3b7ded87ca7176ca25a8a47ab \ + --hash=sha256:0668aa9459cfa8c9c49ddd2163ebcf43088ba045ef7492af6fe22e0098303101 \ + --hash=sha256:104e4a35bd7c124173c41760ef9aaea17ddb3f86c65cb643671d59afbe3ee94c \ + --hash=sha256:143a4ef63285a075871908fda3672dc21864b83a8ec3ee12304aa3e4c5387b9a \ + --hash=sha256:16db7c62ec0b8efe1d7afd283a388d8f74f2605d56032e5a37747d2de8dba027 \ + --hash=sha256:1943db345233cc7194a470f13afa9c59772c0b123dea0c9414c4d4ca54369759 \ + --hash=sha256:239a4c354e8d676e9d94631d1d4a64edc6b266f86ff3a5a80aedd344f342c01d \ + --hash=sha256:2782c36237c46dd1674542f2109740ea5ea485a169bf1431939ada0434e17934 \ + --hash=sha256:27d51654fc240a1e87e742d353d98eb45b75f62f129086b3596ab53df2ac2a43 \ + --hash=sha256:36be371028fc1675acb38a331bde160dbab7ff907fdf00b67eb6911aa106951b \ + --hash=sha256:5499e8797edff2a9186aa313ed382c6b422e798e9332d9953badcee6e69a88f2 \ + --hash=sha256:5880091bfe6f4f986f22866375c2e884843e7a0b6343ae41aeea659613d879b6 \ + --hash=sha256:6848f2a093fb5548751a9a09bff8fcd229e2bbeb0e3331f391b6ae6d26cd9903 \ + --hash=sha256:787baedb0262cc49e8ce37cc15c00ae818e46a165a3b36f5e21ed174998104cb \ + --hash=sha256:7d1a2de9de5be04652f0ed60738356ef94f66db37924a9499fffe98dc491aa0b \ + --hash=sha256:832d4c998e0b091fd60a6d6bceee535483c4d490de9ba85003af835225719261 \ + --hash=sha256:842d1c004bb466c7df036f95fabef789570541922b10976b12f5592a69cf0b38 \ + --hash=sha256:8f5c14f169eb0972c0c21bada5358b23d6047c76583b005234f865b11f1fa00a \ + --hash=sha256:92a31c9c20d25a076edaeec76b128a3535d74a24f340b9a8a7e96c9b86dc9642 \ + --hash=sha256:9cc22cf0c9be65e71cf88fda130af60d61eb4a79370ad4cfe7900d48a4aa2211 \ + --hash=sha256:b0c06d760909b095cc466356dfccd05a1c7233a6ca191c020dca2c6a6f16c24c \ + --hash=sha256:b15219e9cdc9f53f6f4cb51c009203507228226148c05c5e8fe451c28b435eb3 \ + --hash=sha256:b54f60c1d78767a53b67eaa663f0dfac3afe606aa07f1301572f588b73d64809 \ + --hash=sha256:b725026bafa801dbd7310eb13a75f0a2e370e7e51b2cb225f9d21fcfadf919ee \ + --hash=sha256:baf5eb061eb5bccade4128ad42da33787d72f6013809cd1b590376ece8b3c937 \ + --hash=sha256:be5173fb66f9b49026d9d5a2ff0fc7c7009077107c0eb285b2d60fdf1fe10bd1 \ + --hash=sha256:bf683d6363edf2b39eed6b6d4fe22d34b6203867a67e27134d9e2a2680c4bc4a \ + --hash=sha256:cae65289fc456fde04af979a2be09302ef5d8ab92ef23e596d6746dc267ada27 \ + --hash=sha256:cf25572c526add400f26a4750dc6ce0c3bb93fc1f75e7ae0cad4ce4f2cd5c590 \ + --hash=sha256:df1c00022cbbcb064bfaa505aa9c9295362443ce5dacb459d1331d3da353f887 \ + --hash=sha256:e42d729ef2be96a14efbad355093284739e3670ece3e534f82cc8832790911d9 \ + --hash=sha256:f66173891548c9f2726bf27957b41cabce12fa679dc6da505ddbde4d4b3b31cf \ + --hash=sha256:f8015cd071ac1339924ee2b8098c93e00e155f30a16f40ec9816fcf84f4753f6 # via mypy async-timeout==5.0.1 \ --hash=sha256:39e3809566ff85354557ec2398b55e096c8364bacac9405a7a1fa429e77fe76c \ @@ -469,9 +471,9 @@ charset-normalizer==3.4.7 \ # via # requests # snowflake-connector-python -click==8.3.3 \ - --hash=sha256:398329ad4837b2ff7cbe1dd166a4c0f8900c3ca3a218de04466f38f6497f18a2 \ - --hash=sha256:a2bf429bb3033c89fa4936ffb35d5cb471e3719e1f3c8a7c3fff0b8314305613 +click==8.4.0 \ + --hash=sha256:40c50b7c6c6adac2823d411041ec84f3f103f1b280d5e9ce0d7f998995832f81 \ + --hash=sha256:638f1338fe1235c8f4e008e4a8a254fb5c5fbdcbb40ece3c9142ebb78e792973 # via # feast (pyproject.toml) # dask @@ -835,9 +837,9 @@ google-api-core[grpc]==2.30.3 \ # google-cloud-datastore # google-cloud-storage # pandas-gbq -google-auth==2.52.0 \ - --hash=sha256:01f30e1a9e3638698d89464f5e603ce29d18e1c0e63ec31ac570aba4e164aaf5 \ - --hash=sha256:aee92803ba0ff93a70a3b8a35c7b4797837751cd6380b63ff38372b98f3ed627 +google-auth==2.53.0 \ + --hash=sha256:6e7449917c599b35126a99ec268ec6880301f2fea41dce198fe8fd83ff642b68 \ + --hash=sha256:e7e6aa16f6bee7b2b264830fd04f08087a1d5a836df516251a5d15327b246c9c # via # google-api-core # google-auth-oauthlib @@ -1842,79 +1844,79 @@ mypy-extensions==1.1.0 \ --hash=sha256:1be4cccdb0f2482337c4743e60421de3a356cd97508abadd57d47403e94f5505 \ --hash=sha256:52e68efc3284861e772bbcd66823fde5ae21fd2fdb51c62a211403730b916558 # via mypy -numpy==2.4.4 \ - --hash=sha256:07077278157d02f65c43b1b26a3886bce886f95d20aabd11f87932750dfb14ed \ - --hash=sha256:08f2e31ed5e6f04b118e49821397f12767934cfdd12a1ce86a058f91e004ee50 \ - --hash=sha256:0aec54fd785890ecca25a6003fd9a5aed47ad607bbac5cd64f836ad8666f4959 \ - --hash=sha256:0d35aea54ad1d420c812bfa0385c71cd7cc5bcf7c65fed95fc2cd02fe8c79827 \ - --hash=sha256:0d4e437e295f18ec29bc79daf55e8a47a9113df44d66f702f02a293d93a2d6dd \ - --hash=sha256:0dfd3f9d3adbe2920b68b5cd3d51444e13a10792ec7154cd0a2f6e74d4ab3233 \ - --hash=sha256:1378871da56ca8943c2ba674530924bb8ca40cd228358a3b5f302ad60cf875fc \ - --hash=sha256:15716cfef24d3a9762e3acdf87e27f58dc823d1348f765bbea6bef8c639bfa1b \ - --hash=sha256:19710a9ca9992d7174e9c52f643d4272dcd1558c5f7af7f6f8190f633bd651a7 \ - --hash=sha256:23cbfd4c17357c81021f21540da84ee282b9c8fba38a03b7b9d09ba6b951421e \ - --hash=sha256:2483e4584a1cb3092da4470b38866634bafb223cbcd551ee047633fd2584599a \ - --hash=sha256:27a8d92cd10f1382a67d7cf4db7ce18341b66438bdd9f691d7b0e48d104c2a9d \ - --hash=sha256:28a650663f7314afc3e6ec620f44f333c386aad9f6fc472030865dc0ebb26ee3 \ - --hash=sha256:2aa0613a5177c264ff5921051a5719d20095ea586ca88cc802c5c218d1c67d3e \ - --hash=sha256:2c194dd721e54ecad9ad387c1d35e63dce5c4450c6dc7dd5611283dda239aabb \ - --hash=sha256:2d19e6e2095506d1736b7d80595e0f252d76b89f5e715c35e06e937679ea7d7a \ - --hash=sha256:2d390634c5182175533585cc89f3608a4682ccb173cc9bb940b2881c8d6f8fa0 \ - --hash=sha256:30caa73029a225b2d40d9fae193e008e24b2026b7ee1a867b7ee8d96ca1a448e \ - --hash=sha256:42c16925aa5a02362f986765f9ebabf20de75cdefdca827d14315c568dcab113 \ - --hash=sha256:45dbed2ab436a9e826e302fcdcbe9133f9b0006e5af7168afb8963a6520da103 \ - --hash=sha256:4636de7fd195197b7535f231b5de9e4b36d2c440b6e566d2e4e4746e6af0ca93 \ - --hash=sha256:4a19d9dba1a76618dd86b164d608566f393f8ec6ac7c44f0cc879011c45e65af \ - --hash=sha256:4bbc7f303d125971f60ec0aaad5e12c62d0d2c925f0ab1273debd0e4ba37aba5 \ - --hash=sha256:4d6d57903571f86180eb98f8f0c839fa9ebbfb031356d87f1361be91e433f5b7 \ - --hash=sha256:4e874c976154687c1f71715b034739b45c7711bec81db01914770373d125e392 \ - --hash=sha256:51fc224f7ca4d92656d5a5eb315f12eb5fe2c97a66249aa7b5f562528a3be38c \ - --hash=sha256:58c8b5929fcb8287cbd6f0a3fae19c6e03a5c48402ae792962ac465224a629a4 \ - --hash=sha256:5a285b3b96f951841799528cd1f4f01cd70e7e0204b4abebac9463eecfcf2a40 \ - --hash=sha256:5c70f1cc1c4efbe316a572e2d8b9b9cc44e89b95f79ca3331553fbb63716e2bf \ - --hash=sha256:62d6b0f03b694173f9fcb1fb317f7222fd0b0b103e784c6549f5e53a27718c44 \ - --hash=sha256:6a246d5914aa1c820c9443ddcee9c02bec3e203b0c080349533fae17727dfd1b \ - --hash=sha256:6aa3236c78803afbcb255045fbef97a9e25a1f6c9888357d205ddc42f4d6eba5 \ - --hash=sha256:6bbe4eb67390b0a0265a2c25458f6b90a409d5d069f1041e6aff1e27e3d9a79e \ - --hash=sha256:715d1c092715954784bc79e1174fc2a90093dc4dc84ea15eb14dad8abdcdeb74 \ - --hash=sha256:72944b19f2324114e9dc86a159787333b77874143efcf89a5167ef83cfee8af0 \ - --hash=sha256:81f4a14bee47aec54f883e0cad2d73986640c1590eb9bfaaba7ad17394481e6e \ - --hash=sha256:846300f379b5b12cc769334464656bc882e0735d27d9726568bc932fdc49d5ec \ - --hash=sha256:86b6f55f5a352b48d7fbfd2dbc3d5b780b2d79f4d3c121f33eb6efb22e9a2015 \ - --hash=sha256:874f200b2a981c647340f841730fc3a2b54c9d940566a3c4149099591e2c4c3d \ - --hash=sha256:8a87ec22c87be071b6bdbd27920b129b94f2fc964358ce38f3822635a3e2e03d \ - --hash=sha256:8b3b60bb7cba2c8c81837661c488637eee696f59a877788a396d33150c35d842 \ - --hash=sha256:8e3ed142f2728df44263aaf5fb1f5b0b99f4070c553a0d7f033be65338329150 \ - --hash=sha256:93e15038125dc1e5345d9b5b68aa7f996ec33b98118d18c6ca0d0b7d6198b7e8 \ - --hash=sha256:989824e9faf85f96ec9c7761cd8d29c531ad857bfa1daa930cba85baaecf1a9a \ - --hash=sha256:99d838547ace2c4aace6c4f76e879ddfe02bb58a80c1549928477862b7a6d6ed \ - --hash=sha256:9b2aec6af35c113b05695ebb5749a787acd63cafc83086a05771d1e1cd1e555f \ - --hash=sha256:9c585a1790d5436a5374bac930dad6ed244c046ed91b2b2a3634eb2971d21008 \ - --hash=sha256:a7164afb23be6e37ad90b2f10426149fd75aee07ca55653d2aa41e66c4ef697e \ - --hash=sha256:ac6b31e35612a26483e20750126d30d0941f949426974cace8e6b5c58a3657b0 \ - --hash=sha256:ad2e2ef14e0b04e544ea2fa0a36463f847f113d314aa02e5b402fdf910ef309e \ - --hash=sha256:b268594bccac7d7cf5844c7732e3f20c50921d94e36d7ec9b79e9857694b1b2f \ - --hash=sha256:b5f0362dc928a6ecd9db58868fca5e48485205e3855957bdedea308f8672ea4a \ - --hash=sha256:ba1f4fc670ed79f876f70082eff4f9583c15fb9a4b89d6188412de4d18ae2f40 \ - --hash=sha256:ba203255017337d39f89bdd58417f03c4426f12beed0440cfd933cb15f8669c7 \ - --hash=sha256:c901b15172510173f5cb310eae652908340f8dede90fff9e3bf6c0d8dfd92f83 \ - --hash=sha256:c9b39d38a9bd2ae1becd7eac1303d031c5c110ad31f2b319c6e7d98b135c934d \ - --hash=sha256:d2a8490669bfe99a233298348acc2d824d496dee0e66e31b66a6022c2ad74a5c \ - --hash=sha256:dddbbd259598d7240b18c9d87c56a9d2fb3b02fe266f49a7c101532e78c1d871 \ - --hash=sha256:df3775294accfdd75f32c74ae39fcba920c9a378a2fc18a12b6820aa8c1fb502 \ - --hash=sha256:e44319a2953c738205bf3354537979eaa3998ed673395b964c1176083dd46252 \ - --hash=sha256:e4a010c27ff6f210ff4c6ef34394cd61470d01014439b192ec22552ee867f2a8 \ - --hash=sha256:e823b8b6edc81e747526f70f71a9c0a07ac4e7ad13020aa736bb7c9d67196115 \ - --hash=sha256:e892aff75639bbef0d2a2cfd55535510df26ff92f63c92cd84ef8d4ba5a5557f \ - --hash=sha256:eea7ac5d2dce4189771cedb559c738a71512768210dc4e4753b107a2048b3d0e \ - --hash=sha256:ef4059d6e5152fa1a39f888e344c73fdc926e1b2dd58c771d67b0acfbf2aa67d \ - --hash=sha256:f169b9a863d34f5d11b8698ead99febeaa17a13ca044961aa8e2662a6c7766a0 \ - --hash=sha256:f2cf083b324a467e1ab358c105f6cad5ea950f50524668a80c486ff1db24e119 \ - --hash=sha256:f8474c4241bc18b750be2abea9d7a9ec84f46ef861dbacf86a4f6e043401f79e \ - --hash=sha256:f983334aea213c99992053ede6168500e5f086ce74fbc4acc3f2b00f5762e9db \ - --hash=sha256:f9e75681b59ddaa5e659898085ae0eaea229d054f2ac0c7e563a62205a700121 \ - --hash=sha256:fbc356aae7adf9e6336d336b9c8111d390a05df88f1805573ebb0807bd06fd1d \ - --hash=sha256:fcfe2045fd2e8f3cb0ce9d4ba6dba6333b8fa05bb8a4939c908cd43322d14c7e +numpy==2.4.6 \ + --hash=sha256:001fbb8e08d942dd57599e781f2472269ee7f2755fae407b4f67b2f0b17da3f1 \ + --hash=sha256:0280e0356c0829a18d9de1cb7eee50ec22ca639878d7240307ca0943d73cd2c4 \ + --hash=sha256:043191bfa8eab18c776647b62723ac9dddece59743b13f49b2016094129c2b3f \ + --hash=sha256:06ca2f61ec4385a07a6977c55ba998a4466c123642b4a32694d3128fce18c079 \ + --hash=sha256:0a041d3d761dc3c35cc56ce0351506a02bcbc25f7b169f652435141a17db9096 \ + --hash=sha256:0ab0a9c4ffb1a6d95ef519fe4247dba8eb6b18ad93999f76b7f657039acabd47 \ + --hash=sha256:0c9136e14ed34a9e343a31c533d78a9813a69a3148332bce5e9821cb2f996e66 \ + --hash=sha256:110f8b71aacb688ec69062bb7f6938a0f8acb01b7c1c4beb453c65b6d234584d \ + --hash=sha256:112b06a867b235ef466ed3508ddf0238050df9c727cafb5301ac385b899189a1 \ + --hash=sha256:17f9ade344e7d9b464a084d69bcf18fc691cb1db67c62ed80820bf4926d78f0e \ + --hash=sha256:1e254a00cdf42b1e4d5b3d68d33af63268d41340d8885df2ab6470f2e1500147 \ + --hash=sha256:1e978ec1e8bd0e0e4de6bb75de9d30cbb74db6b6a2bb727618613703ca0167dd \ + --hash=sha256:25c692919ac5a01f170a3bfcd62d745b24fd095c353d50812637d6fcab442e75 \ + --hash=sha256:260a5d70215b61ab4fadf5c7baacd64821842975eea312125ed3c39a6391b063 \ + --hash=sha256:2803abfebfc990042cd494d8ce2d5f82e9d847af6d35ec486923aa19dbad5e73 \ + --hash=sha256:29a287e0cf63ff528da061de6b9f64a4618da591ca1046aafc54062e40ca7eab \ + --hash=sha256:29cb7f67d10b479ff07c17d33e39f78c07f71c40ef30d63c153d340e96cd3fb4 \ + --hash=sha256:3213d622a0283a39a93d188f3cf72b26862df52fbb4ca3697f51705016523d41 \ + --hash=sha256:33111801a01c12a8a1e3721f0a9232f8cfc8ae2c6b7098167e6f623c6073f402 \ + --hash=sha256:357cc07a6d7b0b182ff02249616a03742827ebb1277546b5c7cd7f7620a45698 \ + --hash=sha256:38efbc8de75c7a0fc1ac190162d892787f3f47b57cc291231aafee36b80982b7 \ + --hash=sha256:4081eb135ac24158bd51cdfbef16f1c64df7063b1143f24731387137c092bec8 \ + --hash=sha256:40fdc1ae7125e518ea98e53e69a4ebc27e1fd50510c47b7ea130cf21e5e1d42b \ + --hash=sha256:4cfe66903cc32a9921a6733d96b19bb6abf310397581bbad89c228f5abaf0ee8 \ + --hash=sha256:511dbaf848decaaaf4b4ca48032619fb3138710c4bf7da7617765edad1ef96b0 \ + --hash=sha256:55cced7c52e981362f708ad635198e97a752dfba412cc03c23bbf3bd8d5cd662 \ + --hash=sha256:56b39e5e0622a09a25bf5baf62f4bcf0cb8a41ae6e2819cf49bbc5a74c083f91 \ + --hash=sha256:5dbbdb29840ca3d91ee0fece42fc29278886d908280bfec0a5846c6f901a3eb0 \ + --hash=sha256:5f9fb9157b4ce2971008323afe46053787b526ef624fea915b261468a8421a0f \ + --hash=sha256:6180d8b35af935aed8ece3a85e0a43f87393ae0ac87c8d2c8bd2c993f7270ef3 \ + --hash=sha256:68a5124b13fa6cc2086764a20005d30bc0548146f7f5322f02fce212ca14317f \ + --hash=sha256:68bb27509ac1b9a3443094260f6326150663b06abe40b73a2f81160623da5b67 \ + --hash=sha256:6f41ae150c4e32db4f3310cdaf64b1593a03dbabe29eec77fc9b50fe64061df6 \ + --hash=sha256:7265a2f3d436e54ef9f2b52b5c937e6be778781bd97a590319d7348f1c1ca997 \ + --hash=sha256:72fbe16c6fac95aedf5937fa873445cec2110be35d8a4e9433d7501fd98dae6b \ + --hash=sha256:7d92c3819208a60205a12a245c91ad70cb0a85336659b19b834205573ac8456e \ + --hash=sha256:8155154c7c691289fe18f510b5d4657c68c67989f293f0535a91360392ff6538 \ + --hash=sha256:81a1cca95ed5bb92aa8b10dd2cdc9a0d3853a50fad926c28b5d7e8ea54389627 \ + --hash=sha256:89cd468399cfd2504718f0ba50e410dca55a170b61a02ad92bb18c8a65186e93 \ + --hash=sha256:8ad03c0965fb3c692200e74d458ca28c1dbb4ce96f9a479a8aa041ad5fabca02 \ + --hash=sha256:90f9849678c75fe7afa2d348ac842c168b0a4d3d61919687216dfc547976d853 \ + --hash=sha256:948424b06129ce883307e8cff868c31396d8dc7630a59c61d70d98dbe70f222c \ + --hash=sha256:9cd5ffd25db4e7ba6a375693b3fc0fc1791ec636c17db3720da19bde7180ec43 \ + --hash=sha256:a0df0043bdb289bde1f62da130d20df23d58b45429f752bc7a8fc5325a225ecd \ + --hash=sha256:a2c306dea656c12c68f51f4cea133cbe78ca7435eb28c735eac1d3ebe73be6e8 \ + --hash=sha256:a7830bab239b79cda9c08c2da014761cafb48da6150e1da17ac06283f43b6089 \ + --hash=sha256:a7c711e21628b52034bb5ab8d1bce291f752fcc5e92accc615778acee1ff4778 \ + --hash=sha256:aaf159caa35993cb1f56fb9b8e4610d35758e7ca005412eb1daa856a78c9c4b1 \ + --hash=sha256:ae506e6902902557576a26ff33eda8695e7ecb3cb36c3b573a0765dee114ebdb \ + --hash=sha256:b507f5c4c1d508876d1819b6bf9a49d365b96320b5d4993426b33a23ca4b8261 \ + --hash=sha256:bf162abab1c1a736333192707cef898e735a5ca00f38f27eeedf44b39d9e85eb \ + --hash=sha256:c1a2af6c6ef86344a6b0db6b97834208bf598db514f2b155042439b62605601a \ + --hash=sha256:c2d37ab77531417474168eb79d6d80b14f821a966818505d03013d0833edb7a8 \ + --hash=sha256:c4fc99836233ea196540b17ab0983aff60ed07941751930f5f4d05bc3b3b7359 \ + --hash=sha256:d581b735e177fdcdce6fed8e7e8880a3fb6ee4e3653a3ac6af01c6f4c03effc5 \ + --hash=sha256:d6da64deb6b8ed903e7560180a92f2d804ee1ba5eeb849ac2748b8c1aba1f6d7 \ + --hash=sha256:d8e8286dd7cea7895157318d1b91cdacac64c479f3cbc8dce548331728484751 \ + --hash=sha256:ddea102b48f9e339f3948bf22040944184627a30fdf7f858667673b9c5f033c8 \ + --hash=sha256:dfa20cc6ca228e6b155b11da03825975ce66aea520985dbbddf0f2a5a495c605 \ + --hash=sha256:e3e5193ef5a3dc73bceee50f7fdc2c90dbb76c42df8d8fae3d1067a583df579e \ + --hash=sha256:e3eeb0aabd6bd5ce64faae67e9935203a6991b4bc2a485a767fbafb2c5125f45 \ + --hash=sha256:e5805d5a22fd19c8ccff10a9561f9df94436b0545619ea579db2d3c35294bce2 \ + --hash=sha256:e85b752a1e912b70eaad4fafbd4d1238007ab221de2009b9a2f5ae7461239895 \ + --hash=sha256:eaf7fa2de5c0be8ae6ff8e9bea2ccd725e980541244521d8d4b5f3354a27babe \ + --hash=sha256:ebfb099f8dcf083deef3ac1ca4c1503f387cf76296fcb3816b66f5ecb5f54fdb \ + --hash=sha256:ece3d2cfe132e7d51f44a832b303895e6f2d499c5e74dfbdb06ee246147a304a \ + --hash=sha256:ed9749eef4cbd126da3dc1d6bcb3a57f5eb7ac6a6484146bdbf743f552dfc577 \ + --hash=sha256:ede83e07a75dd06bc501566c1eca2afc0d61677c1472ac9ad93fdee6e638a48d \ + --hash=sha256:ef4aea96ce4d3b074422cb4f2f64e216bf9e213004bb58ecfdf50ea02ea8eb9a \ + --hash=sha256:f3a3570c4a2a16746ac2c31a7c7c7b0c186b95ce902e33db6f28094ed7387dda \ + --hash=sha256:f407cb6b8e9d6d8c626bc73c945db1706035af8fd632295547bf1c9e46d092d6 \ + --hash=sha256:f74a575920ab21fe304421a3fc28793d82e299cae9eccb37084e9fc7f3617c20 # via # feast (pyproject.toml) # dask @@ -2508,9 +2510,9 @@ python-dotenv==1.2.2 \ # pydantic-settings # pymilvus # uvicorn -python-multipart==0.0.28 \ - --hash=sha256:10faac07eb966c3f48dc415f9dee46c04cb10d58d30a35677db8027c825ed9b6 \ - --hash=sha256:8550da197eac0f7ab748961fc9509b999fa2662ea25cef857f05249f6893c0f8 +python-multipart==0.0.29 \ + --hash=sha256:2ddcc971cef266225f54f552d8fa10bcfbb1f14446caec199060daac59ff2d69 \ + --hash=sha256:643e93849196645e2dbdd81a0f8829a23123ad7f797a84a364c6fb3563f18904 # via mcp pytz==2026.2 \ --hash=sha256:04156e608bee23d3792fd45c94ae47fae1036688e75032eea2e3bf0323d1f126 \ @@ -3024,9 +3026,9 @@ types-psutil==7.0.0.20250218 \ --hash=sha256:1447a30c282aafefcf8941ece854e1100eee7b0296a9d9be9977292f0269b121 \ --hash=sha256:1e642cdafe837b240295b23b1cbd4691d80b08a07d29932143cbbae30eb0db9c # via feast (pyproject.toml) -types-pymysql==1.1.0.20260508 \ - --hash=sha256:49abf0c2f8d944384834544a8f25ea1b25018c3d815f7ec676f73d0b7fe0731c \ - --hash=sha256:a726e6f867e0a1027a297c89d7646e4d52b7db6ccd11b2a40780120257610c78 +types-pymysql==1.1.0.20260518 \ + --hash=sha256:39a2448c4267dc4551e0824d2bfaecf7dfd171e89e6dbba90f4d4d45d55e4342 \ + --hash=sha256:cf697ce4e44124fc859e8e8a7f047c1dc864745c3c628b85a51b3ee01502ef98 # via feast (pyproject.toml) typing-extensions==4.15.0 \ --hash=sha256:0cea48d173cc12fa28ecabc3b837ea3cf6f38c6d1136f85cbaaf598984861466 \ @@ -3215,116 +3217,114 @@ vcs-versioning==1.1.1 \ --hash=sha256:b541e2ba79fc6aaa3850f8a7f88af43d97c1c80649c01142ee4146eddbc599e4 \ --hash=sha256:fabd75a3cab7dd8ac02fe24a3a9ba936bf258667b5a62ed468c9a1da0f5775bc # via setuptools-scm -watchfiles==1.1.1 \ - --hash=sha256:00485f441d183717038ed2e887a7c868154f216877653121068107b227a2f64c \ - --hash=sha256:03fa0f5237118a0c5e496185cafa92878568b652a2e9a9382a5151b1a0380a43 \ - --hash=sha256:04e78dd0b6352db95507fd8cb46f39d185cf8c74e4cf1e4fbad1d3df96faf510 \ - --hash=sha256:059098c3a429f62fc98e8ec62b982230ef2c8df68c79e826e37b895bc359a9c0 \ - --hash=sha256:08af70fd77eee58549cd69c25055dc344f918d992ff626068242259f98d598a2 \ - --hash=sha256:0b495de0bb386df6a12b18335a0285dda90260f51bdb505503c02bcd1ce27a8b \ - --hash=sha256:130e4876309e8686a5e37dba7d5e9bc77e6ed908266996ca26572437a5271e18 \ - --hash=sha256:14e0b1fe858430fc0251737ef3824c54027bedb8c37c38114488b8e131cf8219 \ - --hash=sha256:17ef139237dfced9da49fb7f2232c86ca9421f666d78c264c7ffca6601d154c3 \ - 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--hash=sha256:2581a94056e55d7d0a31a823ea92bf73749c489ca2285bfdc0fbe6b2bb49d50c \ + --hash=sha256:2995c176de7692b86a2e4c58d9ec718f753150a979cb4a754e2b4ffa38e70906 \ + --hash=sha256:2b37d10b5a63bd4d87e18472d80fa525bd670586fae62e5dd580452764879b65 \ + --hash=sha256:2cb93af48550faf1cea04c303107c8b75833de7013e57ce27d3b8d21d8d0f58c \ + --hash=sha256:2d95ddc1eb6914154253d239089900813f6a767e174b8e6a50e7fdacb7e4236c \ + --hash=sha256:3416ff151bb6b5a8d8d11664974fbef4d9305b9b2957839ab5a270468fd8df30 \ + --hash=sha256:3651aa7058595e9cfb75d35dd5ada2bf9f48a5b8a0f3562821d3e210c507e077 \ + --hash=sha256:37a6721cdf3f65dbb13aa9503510ccb4451603ac837e44d265d7992a597e1374 \ + --hash=sha256:41bc1199f7523b3f82843c88cbb979180c949caef0342cf90968f178e5d49b01 \ + --hash=sha256:43d818978d06062d9b22c4fab2ebe44cf5213d42dc8e62bda8c2760cfa2eeb33 \ + --hash=sha256:4429f3b105524a10b72c3a819b091c495d2811d419c1e1e8df773a5a5974f831 \ + --hash=sha256:4543579a9bdb0c9560039b4ffddbdb39545707659fbc430ce4c10f3f68d557f9 \ + --hash=sha256:4674d49eb94706dfe666c069fc0a1b646ffcf920473492e209f6d5f60d3f0cc2 \ + --hash=sha256:4c887eba18b7945ac73067a8b4a66f21cd46c2539b2bc68588f7be6c7eb6d26b \ + --hash=sha256:4e4ff8e37f99cf1da89e255e07c9c4b37c214038c4283707bdec308cb1b0ea1f \ + --hash=sha256:4f34e26a19f91f710c08e0183429f0d1d15df734e6bc78c31e77b9ea9c433658 \ + --hash=sha256:5327989a465505f05cfe06f04fa9d0c2fd5432bb243e10e6f012b1bdca3c8579 \ + --hash=sha256:53b2290c92e0506d102cd448fbc610d87079553f86caa39d67440856a8b8bba5 \ + --hash=sha256:56d8641cf834c2836922899105bd3ce3d0dfc69291d52edf0b4d0436829b34c0 \ + --hash=sha256:57a2d9fa4fb4c2ecae57b13dfff2c7ab53e21a2ba674fe9f05506680fcdcc0d7 \ + --hash=sha256:63ac26eefbf4af1741247d6fb68b11c49a25b2f7413fbd318a83a12aaa9cf666 \ + --hash=sha256:6543cf55d170003296d185c0af981f3e1311564907e1f4e08671fc7693a890a5 \ + --hash=sha256:704fd259e332e01f9b9c178f4bce9e49027e5587cc2600eeeaf8e76e1c846201 \ + --hash=sha256:71283b39fd17e5408eb123bd37aeecfd9d54c81fc184421943208aadb879d103 \ + --hash=sha256:71cd71740ed2c15211ebb237ced4e39a1cdf6f80566e5fe95428da1626f4fde6 \ + --hash=sha256:7571e4464cb6e434958f867f7f730b8ab0b75e3f8e5eac0499168486ab3c33a8 \ + --hash=sha256:772b80df316480d894a0e3165fdd19cf77f5d17f9a787f94029465ad0e3529d1 \ + --hash=sha256:77a0feab9af4c021c581f695258c642b3d10c5fd4c676e33a0d8606425d82631 \ + --hash=sha256:7a2cffd17d27d2ecbb310c2b1d8174f222a5495b1a721894afa88ec11e25b898 \ + --hash=sha256:7a7ce236284f002a156f70add88efe5c70879cccbb658be0822c54b1306fc09d \ + --hash=sha256:7ba0480b9a74af058f43b337e937a451e109295c420916d68ad24e3dc02f5e44 \ + --hash=sha256:8520a4ab0e37f770afc34459c4f8f7019e153f9124dc101c15538365875d1ab2 \ + --hash=sha256:86bc13c25a8d1fcd70b51d0ce7c9b65e90de5666fcbfd3e34957cc73ee19aeb5 \ + --hash=sha256:89d8c2394a065ca86f5d2910ff263ae67c127e1376ccc4f9fc35c71db879f80a \ + --hash=sha256:8c520725602756229f045b032a1ff33d7ef0f7404189d62f6c2438cb6d8ef6a1 \ + --hash=sha256:8f200104103feb097de4cab8fe4f5dd18a2026934c7dea98c55a2f5fd6d5a33b \ + --hash=sha256:8f70d8b291ef6e88d19b1f297a6905ddb978888d9272b0d05e6f53309856bcfc \ + --hash=sha256:8fa585ede612ee9f9e91b18bebf9ba11b9ae29a4e3a0d0cf6fca3e382133f0d5 \ + --hash=sha256:922c0e019fe68b3ae392965a766b02a71ba1168c932cebc3733cd52c5fe5b377 \ + --hash=sha256:9342472aff9b093c5acd4f6d8f70ae0937964ab56542502bcf5579782da69ae8 \ + --hash=sha256:9649193aa27bd9ff2e80ff29bfaa93085496c7a3a377592823cc58b77ee88add \ + --hash=sha256:9f04b092229ad2c50126dd3c922c8822e51e605993764a33058d4a791ab42281 \ + --hash=sha256:a0f27f01bee51861392bb6b7c4fdb290b27d1eb194e9e28788d68102a0e898d9 \ + --hash=sha256:a16ffe19bf5cf9f5edaa1ad1dd830c5a816e8feec430c522302ab55483a4b994 \ + --hash=sha256:a204794696ffb8f9b10fba6f7cb5216d42f3b2b71860ccac6b6e42f5f10973b0 \ + --hash=sha256:a711b51aec4370d0dcda5b6c09463206f133a5759341d7744b953a7b62e1100e \ + --hash=sha256:a88fc94e647bc4eec523f1caa540258eb71d14278b9daf72fa1e2658a98df0f0 \ + --hash=sha256:ae99b14c5f21e026e0e9d96f40e07d8570ebee6cafd9d8fc318354606daa7a28 \ + --hash=sha256:b0ef001f8c25ad0fa9529f914c1600647ecd0f542d11c19b7894768c67b6acb7 \ + --hash=sha256:b141a4891c995a039cd89e9a49e62df1dc8a559a5d1a6e4c7106d16c12777a55 \ + --hash=sha256:b4e77f6a55f858504069abd35d336a637555c09bca453dde1ee1e5ada8a6a1fb \ + --hash=sha256:b62f042afde2dde21ec1d2c1a74361e804673df86f51e418a999c9acfe671b07 \ + --hash=sha256:b718bf356bbc15e559bd8ef41782b573b8ae0e3f177ab244b440568d7ea02cfb \ + --hash=sha256:b8c8358484d5fa12ef34f05b7f4168eaf1932f408725ff6d023c33ec17bd79d4 \ + --hash=sha256:b974946a10af379d425e2eef5b62f5c6ebeaccf91d45eaad6f5b27ecd4f91aa0 \ + --hash=sha256:b9909cc2b48468b575eefa944919e1fe8a36c5849d5c7c168f80a8c1db69398e \ + --hash=sha256:b9f732dc58b2dbe69e464ccf8fff7a03b0dd0be439da4c0720d3558527d3d6b4 \ + --hash=sha256:bb68bf4df85abebe5efddc53cf2075520f243a59868d9b3973278b23e76962a9 \ + --hash=sha256:bb7e52ecf68ba46d22df23467b87cffeb2146908aa523ebfe803019618cfda06 \ + --hash=sha256:bc13eb17538be00c874699dc0abe4ee2bc8d50bb1166a6b9e175ef3fd7eb8f26 \ + --hash=sha256:c0db965c5f79aa49fe672d297cf1febc5ad149b658594944f49a54a2b96270a7 \ + --hash=sha256:c16cb06dd17d43b9d185094268459eac92c9538356f050e55b54e82cf700e1d4 \ + --hash=sha256:c525543d91961c6955b2636b308569e84a1d1c5f5f2932041ab9ef46422f43e3 \ + --hash=sha256:c5c19526f4e54a00f2666a6c0e9e40d582c09e865055ea7378bf0009aab857b3 \ + --hash=sha256:c995fba777f1ea992f090f9236e9284cf7a5d1a0130dd5a3d82c598cacd76838 \ + --hash=sha256:ca148d73dea36c9763aaa351e4d7a51780ec1584217c45276f4fe8239c768b71 \ + --hash=sha256:cee9d5efd929efdac5f7e58f72b3376f676b64050a91c5b99a7094c5b2317488 \ + --hash=sha256:d158cd89df6053823533e06fb1d73c549133bff5f0396170c0e53d9559340717 \ + --hash=sha256:d20029a60a71a052a24c4db7673bc4de39ab89adbaccbfb5d67987c5d73f424d \ + --hash=sha256:d413349d565dab74297f2a63e84a097936be69bf8f3b3801f27f380e32040f44 \ + --hash=sha256:d4a4b147f5dca2a5d325a06a832fb43f345751adfbc63204aec30e0d9ca965a2 \ + --hash=sha256:d516b3283a758e087841aedb8031549fb41ced08f3db10aa6d2bf32dc042525b \ + --hash=sha256:d73a585accffa5ae39c17264c36ec3166d2fad7000c780f5ef83b2722afb9dd2 \ + --hash=sha256:dbd6c97045dad81227c8d040173da044c1de08de64a5ea8b555da4aee1d5fa22 \ + --hash=sha256:e0618518f282c4ebff60f5e5b1247b6d91bb8b9f4476947563a1e74acc66f3c6 \ + --hash=sha256:e140ed30ebde76796b686e67c182cff10ea2fbab186fafd1560f74bb5a473a6e \ + --hash=sha256:e1cfd51e97e13ff3bd047c140764d277fc9b95b7cb5da59e46a47d167adab310 \ + --hash=sha256:e2ca07fa7d89195ec0865d3d285666286740bfa83d83e5cee204043a31ecc165 \ + --hash=sha256:e53a384f76b631c3ae5334ce6a52f0baa3a911eb94a4eac7f160079868b716d5 \ + --hash=sha256:eb283ee99e21ad6443c8cdb06ac5b34b1308c329cbdf03fa02b445363714c799 \ + --hash=sha256:eb72919d93e3a16fc451d3aa3d4b1698423daca1b382d3d959c9ac51297c12a8 \ + --hash=sha256:ecb47f183a8025b2aa18b546725c3657e542112ae9c0613a2af79b4fa8d04ad7 \ + --hash=sha256:f155b3a1b2a5fc89cdc70d47ee5d54e3b75e88efa34982028a35daef9ba00379 \ + --hash=sha256:f22943b7770483f6ea0721c6b11d022947a98eb0acae14694de034f4d0d38925 \ + --hash=sha256:f28b2725eb8cce327b9b3ab02415c853011dc55c95832fe90de6bc56f5315f72 \ + --hash=sha256:f88af53d6ddaf72179ef613ddc905e6f4785f712b49b80b3bef9f3525e6194b4 \ + --hash=sha256:faea288b6f0ab1902ef08f4ca6de005dccf856c4e0c4f21b8c5fce02d90a1b08 \ + --hash=sha256:fff610d7bb2256a317bb1e96f0d7862c7aa8076733ee5df0fd41bbe76a24a4f4 # via uvicorn websocket-client==1.9.0 \ --hash=sha256:9e813624b6eb619999a97dc7958469217c3176312b3a16a4bd1bc7e08a46ec98 \ @@ -3606,9 +3606,9 @@ yarl==1.23.0 \ --hash=sha256:fe8f8f5e70e6dbdfca9882cd9deaac058729bcf323cf7a58660901e55c9c94f6 \ --hash=sha256:fffc45637bcd6538de8b85f51e3df3223e4ad89bccbfca0481c08c7fc8b7ed7d # via aiohttp -zipp==3.23.1 \ - --hash=sha256:0b3596c50a5c700c9cb40ba8d86d9f2cc4807e9bedb06bcdf7fac85633e444dc \ - --hash=sha256:32120e378d32cd9714ad503c1d024619063ec28aad2248dc6672ad13edfa5110 +zipp==4.1.0 \ + --hash=sha256:25ad4e16390cd314347dd8f1de67a2ac538ae658ed4ab9db16029c07c188e97f \ + --hash=sha256:4cb57381f544315db7688e976e922a2b18cdb513d21cc194eb42232ba2a3e602 # via importlib-metadata # The following packages were excluded from the output: diff --git a/sdk/python/requirements/py3.11-requirements.txt b/sdk/python/requirements/py3.11-requirements.txt index a1e662d60d0..694cde10b6e 100644 --- a/sdk/python/requirements/py3.11-requirements.txt +++ b/sdk/python/requirements/py3.11-requirements.txt @@ -14,38 +14,40 @@ anyio==4.13.0 \ # via # starlette # watchfiles -ast-serialize==0.4.0 \ - --hash=sha256:074032142777e3e6091977dc3c5146a8ca58ae6825b7f64e9a0b604153ddabd8 \ - --hash=sha256:1026f565a7ab846337c630909089b3346a2fe417bf1552b1581ab01852137407 \ - --hash=sha256:1c5245228e65d38cb48e1251f0ca71b0fa417e527141491e8c92f740e8e2d121 \ - --hash=sha256:1e1fb90def261f6a0db885876f7e1a49ad2dbac38ad9f2f62dba2f9543af16e7 \ - --hash=sha256:3bdde2c4570143791f636aed4e3ef868f5b46eb90a18f8d5c41dd045aab08bef \ - --hash=sha256:404f3462b4532e13a70b8849bba241dbd82e30043ff58d98c7e762fd925b116a \ - --hash=sha256:43729a5e369ebbe7750635c0c206bc616fcd36e703cb9c4497d6b4df0291ee64 \ - --hash=sha256:4738790cf54d8b416de992b87ee567056980bc82134d52458bd4985f389d1658 \ - --hash=sha256:4db9769d57deb5545ce56ebbbbe3436dcc0ae2688ce14c295cd14e106624ece7 \ - --hash=sha256:6551d55b8607b97a7755683d743200b398c61a0b71a11b7f00c89c335a11d0f4 \ - --hash=sha256:6615b39cd747967c3aabe68bf3f5f26748e823cc6b474ddc1510ed188a824149 \ - --hash=sha256:70d9c5d527bbfa69bd3c7d17dac11fb6781e36186a434a06d7d5892e0b2f88f9 \ - --hash=sha256:7234ff086cb152ea2a3b7ef895b5ebeb6d80779df049d5c6431c8e3536d5b03c \ - --hash=sha256:732b4ef76adcb0f298a7d18c4558336d83b1384f9ae0c7eaa1dc8d031b0a4390 \ - --hash=sha256:74e4e634ab82d1466acf0be27043178570b98ebeaa3165f9240a6fad4c286471 \ - --hash=sha256:79c8d015c771c8bfdb1208003b227b27c40034790a2c29c09f2317a041825ce2 \ - --hash=sha256:7fba7315fd4bd87cb5560792709f6e66e0606402d362c0a38dd32dfb66ba6066 \ - --hash=sha256:8f5153e9c44a02e61f4042c5f9249d2e8a759773d621a0b2f445a899e536e181 \ - --hash=sha256:905fc11940831454d93589bd7ce2acb6a5eb01c2936156f751d2a21087c98cd3 \ - --hash=sha256:90fc5c0d35a22f1a92dd33635508626d50f8fc64deb897c23e78e666a60804c9 \ - --hash=sha256:91362c0a9fdf1c344b7f50a5b0508b11a0732102998fbd754a191f7187e77031 \ - --hash=sha256:91d3786f3929786cdc4eeedfd110abb4603e7f6c1390c5af398f333a947b742d \ - --hash=sha256:97c55336e16f5c4ca2bde7be94cca4b8f7d665d64f7008925a82e02707ba14ac \ - --hash=sha256:9ecd6a1fc1b86f1f4e8ae206759b6319c10019706b3496b01b54d02b9b2cd918 \ - --hash=sha256:a6f26937ce0293aafbece0e39019e020369a5a70486ff4088227f0cc888844a9 \ - --hash=sha256:b3db87c4772097c0782250bcd550d66b1189a8c889793c7bcf153f4fee70005c \ - --hash=sha256:bd50d201098aae0d202805fe9606c0545492f69a3ec4403337e32c54ad29fc41 \ - --hash=sha256:cf2ff7b654c8e95143e20f5d75878cbb78b65b928b26c4d58ef71cdba9d6d981 \ - --hash=sha256:dcd04f85a29deb80400e8987cfaceb9907140f763453cbffdbd6ff36f1b32c12 \ - --hash=sha256:dcded5056d9f3d201df7833082c07ebcbc566ffc3d4105c9fc9fe278fa086ecb \ - --hash=sha256:faa008dccfcb793ae9101325e4d6d026caaa5d845c2182f03749c759834b0a3a +ast-serialize==0.5.0 \ + --hash=sha256:061ee58bdb52341c8201a6df41182a977736bae3b7ded87ca7176ca25a8a47ab \ + --hash=sha256:0668aa9459cfa8c9c49ddd2163ebcf43088ba045ef7492af6fe22e0098303101 \ + --hash=sha256:104e4a35bd7c124173c41760ef9aaea17ddb3f86c65cb643671d59afbe3ee94c \ + --hash=sha256:143a4ef63285a075871908fda3672dc21864b83a8ec3ee12304aa3e4c5387b9a \ + --hash=sha256:16db7c62ec0b8efe1d7afd283a388d8f74f2605d56032e5a37747d2de8dba027 \ + --hash=sha256:1943db345233cc7194a470f13afa9c59772c0b123dea0c9414c4d4ca54369759 \ + --hash=sha256:239a4c354e8d676e9d94631d1d4a64edc6b266f86ff3a5a80aedd344f342c01d \ + --hash=sha256:2782c36237c46dd1674542f2109740ea5ea485a169bf1431939ada0434e17934 \ + --hash=sha256:27d51654fc240a1e87e742d353d98eb45b75f62f129086b3596ab53df2ac2a43 \ + --hash=sha256:36be371028fc1675acb38a331bde160dbab7ff907fdf00b67eb6911aa106951b \ + --hash=sha256:5499e8797edff2a9186aa313ed382c6b422e798e9332d9953badcee6e69a88f2 \ + --hash=sha256:5880091bfe6f4f986f22866375c2e884843e7a0b6343ae41aeea659613d879b6 \ + --hash=sha256:6848f2a093fb5548751a9a09bff8fcd229e2bbeb0e3331f391b6ae6d26cd9903 \ + --hash=sha256:787baedb0262cc49e8ce37cc15c00ae818e46a165a3b36f5e21ed174998104cb \ + --hash=sha256:7d1a2de9de5be04652f0ed60738356ef94f66db37924a9499fffe98dc491aa0b \ + --hash=sha256:832d4c998e0b091fd60a6d6bceee535483c4d490de9ba85003af835225719261 \ + --hash=sha256:842d1c004bb466c7df036f95fabef789570541922b10976b12f5592a69cf0b38 \ + --hash=sha256:8f5c14f169eb0972c0c21bada5358b23d6047c76583b005234f865b11f1fa00a \ + --hash=sha256:92a31c9c20d25a076edaeec76b128a3535d74a24f340b9a8a7e96c9b86dc9642 \ + --hash=sha256:9cc22cf0c9be65e71cf88fda130af60d61eb4a79370ad4cfe7900d48a4aa2211 \ + --hash=sha256:b0c06d760909b095cc466356dfccd05a1c7233a6ca191c020dca2c6a6f16c24c \ + --hash=sha256:b15219e9cdc9f53f6f4cb51c009203507228226148c05c5e8fe451c28b435eb3 \ + --hash=sha256:b54f60c1d78767a53b67eaa663f0dfac3afe606aa07f1301572f588b73d64809 \ + --hash=sha256:b725026bafa801dbd7310eb13a75f0a2e370e7e51b2cb225f9d21fcfadf919ee \ + --hash=sha256:baf5eb061eb5bccade4128ad42da33787d72f6013809cd1b590376ece8b3c937 \ + --hash=sha256:be5173fb66f9b49026d9d5a2ff0fc7c7009077107c0eb285b2d60fdf1fe10bd1 \ + --hash=sha256:bf683d6363edf2b39eed6b6d4fe22d34b6203867a67e27134d9e2a2680c4bc4a \ + --hash=sha256:cae65289fc456fde04af979a2be09302ef5d8ab92ef23e596d6746dc267ada27 \ + --hash=sha256:cf25572c526add400f26a4750dc6ce0c3bb93fc1f75e7ae0cad4ce4f2cd5c590 \ + --hash=sha256:df1c00022cbbcb064bfaa505aa9c9295362443ce5dacb459d1331d3da353f887 \ + --hash=sha256:e42d729ef2be96a14efbad355093284739e3670ece3e534f82cc8832790911d9 \ + --hash=sha256:f66173891548c9f2726bf27957b41cabce12fa679dc6da505ddbde4d4b3b31cf \ + --hash=sha256:f8015cd071ac1339924ee2b8098c93e00e155f30a16f40ec9816fcf84f4753f6 # via mypy attrs==26.1.0 \ --hash=sha256:c647aa4a12dfbad9333ca4e71fe62ddc36f4e63b2d260a37a8b83d2f043ac309 \ @@ -192,9 +194,9 @@ charset-normalizer==3.4.7 \ --hash=sha256:fbccdc05410c9ee21bbf16a35f4c1d16123dcdeb8a1d38f33654fa21d0234f79 \ --hash=sha256:fea24543955a6a729c45a73fe90e08c743f0b3334bbf3201e6c4bc1b0c7fa464 # via requests -click==8.3.3 \ - --hash=sha256:398329ad4837b2ff7cbe1dd166a4c0f8900c3ca3a218de04466f38f6497f18a2 \ - --hash=sha256:a2bf429bb3033c89fa4936ffb35d5cb471e3719e1f3c8a7c3fff0b8314305613 +click==8.4.0 \ + --hash=sha256:40c50b7c6c6adac2823d411041ec84f3f103f1b280d5e9ce0d7f998995832f81 \ + --hash=sha256:638f1338fe1235c8f4e008e4a8a254fb5c5fbdcbb40ece3c9142ebb78e792973 # via # feast (pyproject.toml) # dask @@ -646,79 +648,79 @@ mypy-extensions==1.1.0 \ --hash=sha256:1be4cccdb0f2482337c4743e60421de3a356cd97508abadd57d47403e94f5505 \ --hash=sha256:52e68efc3284861e772bbcd66823fde5ae21fd2fdb51c62a211403730b916558 # via mypy -numpy==2.4.4 \ - 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--hash=sha256:28a650663f7314afc3e6ec620f44f333c386aad9f6fc472030865dc0ebb26ee3 \ - --hash=sha256:2aa0613a5177c264ff5921051a5719d20095ea586ca88cc802c5c218d1c67d3e \ - --hash=sha256:2c194dd721e54ecad9ad387c1d35e63dce5c4450c6dc7dd5611283dda239aabb \ - --hash=sha256:2d19e6e2095506d1736b7d80595e0f252d76b89f5e715c35e06e937679ea7d7a \ - --hash=sha256:2d390634c5182175533585cc89f3608a4682ccb173cc9bb940b2881c8d6f8fa0 \ - --hash=sha256:30caa73029a225b2d40d9fae193e008e24b2026b7ee1a867b7ee8d96ca1a448e \ - --hash=sha256:42c16925aa5a02362f986765f9ebabf20de75cdefdca827d14315c568dcab113 \ - --hash=sha256:45dbed2ab436a9e826e302fcdcbe9133f9b0006e5af7168afb8963a6520da103 \ - --hash=sha256:4636de7fd195197b7535f231b5de9e4b36d2c440b6e566d2e4e4746e6af0ca93 \ - --hash=sha256:4a19d9dba1a76618dd86b164d608566f393f8ec6ac7c44f0cc879011c45e65af \ - --hash=sha256:4bbc7f303d125971f60ec0aaad5e12c62d0d2c925f0ab1273debd0e4ba37aba5 \ - --hash=sha256:4d6d57903571f86180eb98f8f0c839fa9ebbfb031356d87f1361be91e433f5b7 \ - 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--hash=sha256:ac6b31e35612a26483e20750126d30d0941f949426974cace8e6b5c58a3657b0 \ - --hash=sha256:ad2e2ef14e0b04e544ea2fa0a36463f847f113d314aa02e5b402fdf910ef309e \ - --hash=sha256:b268594bccac7d7cf5844c7732e3f20c50921d94e36d7ec9b79e9857694b1b2f \ - --hash=sha256:b5f0362dc928a6ecd9db58868fca5e48485205e3855957bdedea308f8672ea4a \ - --hash=sha256:ba1f4fc670ed79f876f70082eff4f9583c15fb9a4b89d6188412de4d18ae2f40 \ - --hash=sha256:ba203255017337d39f89bdd58417f03c4426f12beed0440cfd933cb15f8669c7 \ - --hash=sha256:c901b15172510173f5cb310eae652908340f8dede90fff9e3bf6c0d8dfd92f83 \ - --hash=sha256:c9b39d38a9bd2ae1becd7eac1303d031c5c110ad31f2b319c6e7d98b135c934d \ - --hash=sha256:d2a8490669bfe99a233298348acc2d824d496dee0e66e31b66a6022c2ad74a5c \ - --hash=sha256:dddbbd259598d7240b18c9d87c56a9d2fb3b02fe266f49a7c101532e78c1d871 \ - --hash=sha256:df3775294accfdd75f32c74ae39fcba920c9a378a2fc18a12b6820aa8c1fb502 \ - --hash=sha256:e44319a2953c738205bf3354537979eaa3998ed673395b964c1176083dd46252 \ - --hash=sha256:e4a010c27ff6f210ff4c6ef34394cd61470d01014439b192ec22552ee867f2a8 \ - --hash=sha256:e823b8b6edc81e747526f70f71a9c0a07ac4e7ad13020aa736bb7c9d67196115 \ - --hash=sha256:e892aff75639bbef0d2a2cfd55535510df26ff92f63c92cd84ef8d4ba5a5557f \ - --hash=sha256:eea7ac5d2dce4189771cedb559c738a71512768210dc4e4753b107a2048b3d0e \ - --hash=sha256:ef4059d6e5152fa1a39f888e344c73fdc926e1b2dd58c771d67b0acfbf2aa67d \ - --hash=sha256:f169b9a863d34f5d11b8698ead99febeaa17a13ca044961aa8e2662a6c7766a0 \ - --hash=sha256:f2cf083b324a467e1ab358c105f6cad5ea950f50524668a80c486ff1db24e119 \ - --hash=sha256:f8474c4241bc18b750be2abea9d7a9ec84f46ef861dbacf86a4f6e043401f79e \ - --hash=sha256:f983334aea213c99992053ede6168500e5f086ce74fbc4acc3f2b00f5762e9db \ - --hash=sha256:f9e75681b59ddaa5e659898085ae0eaea229d054f2ac0c7e563a62205a700121 \ - --hash=sha256:fbc356aae7adf9e6336d336b9c8111d390a05df88f1805573ebb0807bd06fd1d \ - --hash=sha256:fcfe2045fd2e8f3cb0ce9d4ba6dba6333b8fa05bb8a4939c908cd43322d14c7e +numpy==2.4.6 \ + --hash=sha256:001fbb8e08d942dd57599e781f2472269ee7f2755fae407b4f67b2f0b17da3f1 \ + --hash=sha256:0280e0356c0829a18d9de1cb7eee50ec22ca639878d7240307ca0943d73cd2c4 \ + --hash=sha256:043191bfa8eab18c776647b62723ac9dddece59743b13f49b2016094129c2b3f \ + --hash=sha256:06ca2f61ec4385a07a6977c55ba998a4466c123642b4a32694d3128fce18c079 \ + --hash=sha256:0a041d3d761dc3c35cc56ce0351506a02bcbc25f7b169f652435141a17db9096 \ + --hash=sha256:0ab0a9c4ffb1a6d95ef519fe4247dba8eb6b18ad93999f76b7f657039acabd47 \ + --hash=sha256:0c9136e14ed34a9e343a31c533d78a9813a69a3148332bce5e9821cb2f996e66 \ + --hash=sha256:110f8b71aacb688ec69062bb7f6938a0f8acb01b7c1c4beb453c65b6d234584d \ + --hash=sha256:112b06a867b235ef466ed3508ddf0238050df9c727cafb5301ac385b899189a1 \ + --hash=sha256:17f9ade344e7d9b464a084d69bcf18fc691cb1db67c62ed80820bf4926d78f0e \ + --hash=sha256:1e254a00cdf42b1e4d5b3d68d33af63268d41340d8885df2ab6470f2e1500147 \ + --hash=sha256:1e978ec1e8bd0e0e4de6bb75de9d30cbb74db6b6a2bb727618613703ca0167dd \ + --hash=sha256:25c692919ac5a01f170a3bfcd62d745b24fd095c353d50812637d6fcab442e75 \ + --hash=sha256:260a5d70215b61ab4fadf5c7baacd64821842975eea312125ed3c39a6391b063 \ + --hash=sha256:2803abfebfc990042cd494d8ce2d5f82e9d847af6d35ec486923aa19dbad5e73 \ + --hash=sha256:29a287e0cf63ff528da061de6b9f64a4618da591ca1046aafc54062e40ca7eab \ + --hash=sha256:29cb7f67d10b479ff07c17d33e39f78c07f71c40ef30d63c153d340e96cd3fb4 \ + --hash=sha256:3213d622a0283a39a93d188f3cf72b26862df52fbb4ca3697f51705016523d41 \ + --hash=sha256:33111801a01c12a8a1e3721f0a9232f8cfc8ae2c6b7098167e6f623c6073f402 \ + --hash=sha256:357cc07a6d7b0b182ff02249616a03742827ebb1277546b5c7cd7f7620a45698 \ + --hash=sha256:38efbc8de75c7a0fc1ac190162d892787f3f47b57cc291231aafee36b80982b7 \ + --hash=sha256:4081eb135ac24158bd51cdfbef16f1c64df7063b1143f24731387137c092bec8 \ + --hash=sha256:40fdc1ae7125e518ea98e53e69a4ebc27e1fd50510c47b7ea130cf21e5e1d42b \ + --hash=sha256:4cfe66903cc32a9921a6733d96b19bb6abf310397581bbad89c228f5abaf0ee8 \ + --hash=sha256:511dbaf848decaaaf4b4ca48032619fb3138710c4bf7da7617765edad1ef96b0 \ + --hash=sha256:55cced7c52e981362f708ad635198e97a752dfba412cc03c23bbf3bd8d5cd662 \ + --hash=sha256:56b39e5e0622a09a25bf5baf62f4bcf0cb8a41ae6e2819cf49bbc5a74c083f91 \ + --hash=sha256:5dbbdb29840ca3d91ee0fece42fc29278886d908280bfec0a5846c6f901a3eb0 \ + --hash=sha256:5f9fb9157b4ce2971008323afe46053787b526ef624fea915b261468a8421a0f \ + --hash=sha256:6180d8b35af935aed8ece3a85e0a43f87393ae0ac87c8d2c8bd2c993f7270ef3 \ + --hash=sha256:68a5124b13fa6cc2086764a20005d30bc0548146f7f5322f02fce212ca14317f \ + --hash=sha256:68bb27509ac1b9a3443094260f6326150663b06abe40b73a2f81160623da5b67 \ + --hash=sha256:6f41ae150c4e32db4f3310cdaf64b1593a03dbabe29eec77fc9b50fe64061df6 \ + --hash=sha256:7265a2f3d436e54ef9f2b52b5c937e6be778781bd97a590319d7348f1c1ca997 \ + --hash=sha256:72fbe16c6fac95aedf5937fa873445cec2110be35d8a4e9433d7501fd98dae6b \ + --hash=sha256:7d92c3819208a60205a12a245c91ad70cb0a85336659b19b834205573ac8456e \ + --hash=sha256:8155154c7c691289fe18f510b5d4657c68c67989f293f0535a91360392ff6538 \ + --hash=sha256:81a1cca95ed5bb92aa8b10dd2cdc9a0d3853a50fad926c28b5d7e8ea54389627 \ + --hash=sha256:89cd468399cfd2504718f0ba50e410dca55a170b61a02ad92bb18c8a65186e93 \ + --hash=sha256:8ad03c0965fb3c692200e74d458ca28c1dbb4ce96f9a479a8aa041ad5fabca02 \ + --hash=sha256:90f9849678c75fe7afa2d348ac842c168b0a4d3d61919687216dfc547976d853 \ + --hash=sha256:948424b06129ce883307e8cff868c31396d8dc7630a59c61d70d98dbe70f222c \ + --hash=sha256:9cd5ffd25db4e7ba6a375693b3fc0fc1791ec636c17db3720da19bde7180ec43 \ + --hash=sha256:a0df0043bdb289bde1f62da130d20df23d58b45429f752bc7a8fc5325a225ecd \ + --hash=sha256:a2c306dea656c12c68f51f4cea133cbe78ca7435eb28c735eac1d3ebe73be6e8 \ + --hash=sha256:a7830bab239b79cda9c08c2da014761cafb48da6150e1da17ac06283f43b6089 \ + --hash=sha256:a7c711e21628b52034bb5ab8d1bce291f752fcc5e92accc615778acee1ff4778 \ + --hash=sha256:aaf159caa35993cb1f56fb9b8e4610d35758e7ca005412eb1daa856a78c9c4b1 \ + --hash=sha256:ae506e6902902557576a26ff33eda8695e7ecb3cb36c3b573a0765dee114ebdb \ + --hash=sha256:b507f5c4c1d508876d1819b6bf9a49d365b96320b5d4993426b33a23ca4b8261 \ + --hash=sha256:bf162abab1c1a736333192707cef898e735a5ca00f38f27eeedf44b39d9e85eb \ + --hash=sha256:c1a2af6c6ef86344a6b0db6b97834208bf598db514f2b155042439b62605601a \ + --hash=sha256:c2d37ab77531417474168eb79d6d80b14f821a966818505d03013d0833edb7a8 \ + --hash=sha256:c4fc99836233ea196540b17ab0983aff60ed07941751930f5f4d05bc3b3b7359 \ + --hash=sha256:d581b735e177fdcdce6fed8e7e8880a3fb6ee4e3653a3ac6af01c6f4c03effc5 \ + --hash=sha256:d6da64deb6b8ed903e7560180a92f2d804ee1ba5eeb849ac2748b8c1aba1f6d7 \ + --hash=sha256:d8e8286dd7cea7895157318d1b91cdacac64c479f3cbc8dce548331728484751 \ + --hash=sha256:ddea102b48f9e339f3948bf22040944184627a30fdf7f858667673b9c5f033c8 \ + --hash=sha256:dfa20cc6ca228e6b155b11da03825975ce66aea520985dbbddf0f2a5a495c605 \ + --hash=sha256:e3e5193ef5a3dc73bceee50f7fdc2c90dbb76c42df8d8fae3d1067a583df579e \ + --hash=sha256:e3eeb0aabd6bd5ce64faae67e9935203a6991b4bc2a485a767fbafb2c5125f45 \ + --hash=sha256:e5805d5a22fd19c8ccff10a9561f9df94436b0545619ea579db2d3c35294bce2 \ + --hash=sha256:e85b752a1e912b70eaad4fafbd4d1238007ab221de2009b9a2f5ae7461239895 \ + --hash=sha256:eaf7fa2de5c0be8ae6ff8e9bea2ccd725e980541244521d8d4b5f3354a27babe \ + --hash=sha256:ebfb099f8dcf083deef3ac1ca4c1503f387cf76296fcb3816b66f5ecb5f54fdb \ + --hash=sha256:ece3d2cfe132e7d51f44a832b303895e6f2d499c5e74dfbdb06ee246147a304a \ + --hash=sha256:ed9749eef4cbd126da3dc1d6bcb3a57f5eb7ac6a6484146bdbf743f552dfc577 \ + --hash=sha256:ede83e07a75dd06bc501566c1eca2afc0d61677c1472ac9ad93fdee6e638a48d \ + --hash=sha256:ef4aea96ce4d3b074422cb4f2f64e216bf9e213004bb58ecfdf50ea02ea8eb9a \ + --hash=sha256:f3a3570c4a2a16746ac2c31a7c7c7b0c186b95ce902e33db6f28094ed7387dda \ + --hash=sha256:f407cb6b8e9d6d8c626bc73c945db1706035af8fd632295547bf1c9e46d092d6 \ + --hash=sha256:f74a575920ab21fe304421a3fc28793d82e299cae9eccb37084e9fc7f3617c20 # via # feast (pyproject.toml) # dask @@ -1430,116 +1432,114 @@ uvloop==0.22.1 \ --hash=sha256:ef6f0d4cc8a9fa1f6a910230cd53545d9a14479311e87e3cb225495952eb672c \ --hash=sha256:fe94b4564e865d968414598eea1a6de60adba0c040ba4ed05ac1300de402cd42 # via uvicorn -watchfiles==1.1.1 \ - --hash=sha256:00485f441d183717038ed2e887a7c868154f216877653121068107b227a2f64c \ - --hash=sha256:03fa0f5237118a0c5e496185cafa92878568b652a2e9a9382a5151b1a0380a43 \ - --hash=sha256:04e78dd0b6352db95507fd8cb46f39d185cf8c74e4cf1e4fbad1d3df96faf510 \ - --hash=sha256:059098c3a429f62fc98e8ec62b982230ef2c8df68c79e826e37b895bc359a9c0 \ - --hash=sha256:08af70fd77eee58549cd69c25055dc344f918d992ff626068242259f98d598a2 \ - --hash=sha256:0b495de0bb386df6a12b18335a0285dda90260f51bdb505503c02bcd1ce27a8b \ - --hash=sha256:130e4876309e8686a5e37dba7d5e9bc77e6ed908266996ca26572437a5271e18 \ - 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--hash=sha256:704fd259e332e01f9b9c178f4bce9e49027e5587cc2600eeeaf8e76e1c846201 \ + --hash=sha256:71283b39fd17e5408eb123bd37aeecfd9d54c81fc184421943208aadb879d103 \ + --hash=sha256:71cd71740ed2c15211ebb237ced4e39a1cdf6f80566e5fe95428da1626f4fde6 \ + --hash=sha256:7571e4464cb6e434958f867f7f730b8ab0b75e3f8e5eac0499168486ab3c33a8 \ + --hash=sha256:772b80df316480d894a0e3165fdd19cf77f5d17f9a787f94029465ad0e3529d1 \ + --hash=sha256:77a0feab9af4c021c581f695258c642b3d10c5fd4c676e33a0d8606425d82631 \ + --hash=sha256:7a2cffd17d27d2ecbb310c2b1d8174f222a5495b1a721894afa88ec11e25b898 \ + --hash=sha256:7a7ce236284f002a156f70add88efe5c70879cccbb658be0822c54b1306fc09d \ + --hash=sha256:7ba0480b9a74af058f43b337e937a451e109295c420916d68ad24e3dc02f5e44 \ + --hash=sha256:8520a4ab0e37f770afc34459c4f8f7019e153f9124dc101c15538365875d1ab2 \ + --hash=sha256:86bc13c25a8d1fcd70b51d0ce7c9b65e90de5666fcbfd3e34957cc73ee19aeb5 \ + --hash=sha256:89d8c2394a065ca86f5d2910ff263ae67c127e1376ccc4f9fc35c71db879f80a \ + --hash=sha256:8c520725602756229f045b032a1ff33d7ef0f7404189d62f6c2438cb6d8ef6a1 \ + --hash=sha256:8f200104103feb097de4cab8fe4f5dd18a2026934c7dea98c55a2f5fd6d5a33b \ + --hash=sha256:8f70d8b291ef6e88d19b1f297a6905ddb978888d9272b0d05e6f53309856bcfc \ + --hash=sha256:8fa585ede612ee9f9e91b18bebf9ba11b9ae29a4e3a0d0cf6fca3e382133f0d5 \ + --hash=sha256:922c0e019fe68b3ae392965a766b02a71ba1168c932cebc3733cd52c5fe5b377 \ + --hash=sha256:9342472aff9b093c5acd4f6d8f70ae0937964ab56542502bcf5579782da69ae8 \ + --hash=sha256:9649193aa27bd9ff2e80ff29bfaa93085496c7a3a377592823cc58b77ee88add \ + --hash=sha256:9f04b092229ad2c50126dd3c922c8822e51e605993764a33058d4a791ab42281 \ + --hash=sha256:a0f27f01bee51861392bb6b7c4fdb290b27d1eb194e9e28788d68102a0e898d9 \ + --hash=sha256:a16ffe19bf5cf9f5edaa1ad1dd830c5a816e8feec430c522302ab55483a4b994 \ + --hash=sha256:a204794696ffb8f9b10fba6f7cb5216d42f3b2b71860ccac6b6e42f5f10973b0 \ + --hash=sha256:a711b51aec4370d0dcda5b6c09463206f133a5759341d7744b953a7b62e1100e \ + --hash=sha256:a88fc94e647bc4eec523f1caa540258eb71d14278b9daf72fa1e2658a98df0f0 \ + --hash=sha256:ae99b14c5f21e026e0e9d96f40e07d8570ebee6cafd9d8fc318354606daa7a28 \ + --hash=sha256:b0ef001f8c25ad0fa9529f914c1600647ecd0f542d11c19b7894768c67b6acb7 \ + --hash=sha256:b141a4891c995a039cd89e9a49e62df1dc8a559a5d1a6e4c7106d16c12777a55 \ + --hash=sha256:b4e77f6a55f858504069abd35d336a637555c09bca453dde1ee1e5ada8a6a1fb \ + --hash=sha256:b62f042afde2dde21ec1d2c1a74361e804673df86f51e418a999c9acfe671b07 \ + --hash=sha256:b718bf356bbc15e559bd8ef41782b573b8ae0e3f177ab244b440568d7ea02cfb \ + --hash=sha256:b8c8358484d5fa12ef34f05b7f4168eaf1932f408725ff6d023c33ec17bd79d4 \ + --hash=sha256:b974946a10af379d425e2eef5b62f5c6ebeaccf91d45eaad6f5b27ecd4f91aa0 \ + --hash=sha256:b9909cc2b48468b575eefa944919e1fe8a36c5849d5c7c168f80a8c1db69398e \ + --hash=sha256:b9f732dc58b2dbe69e464ccf8fff7a03b0dd0be439da4c0720d3558527d3d6b4 \ + --hash=sha256:bb68bf4df85abebe5efddc53cf2075520f243a59868d9b3973278b23e76962a9 \ + --hash=sha256:bb7e52ecf68ba46d22df23467b87cffeb2146908aa523ebfe803019618cfda06 \ + --hash=sha256:bc13eb17538be00c874699dc0abe4ee2bc8d50bb1166a6b9e175ef3fd7eb8f26 \ + --hash=sha256:c0db965c5f79aa49fe672d297cf1febc5ad149b658594944f49a54a2b96270a7 \ + --hash=sha256:c16cb06dd17d43b9d185094268459eac92c9538356f050e55b54e82cf700e1d4 \ + --hash=sha256:c525543d91961c6955b2636b308569e84a1d1c5f5f2932041ab9ef46422f43e3 \ + --hash=sha256:c5c19526f4e54a00f2666a6c0e9e40d582c09e865055ea7378bf0009aab857b3 \ + --hash=sha256:c995fba777f1ea992f090f9236e9284cf7a5d1a0130dd5a3d82c598cacd76838 \ + --hash=sha256:ca148d73dea36c9763aaa351e4d7a51780ec1584217c45276f4fe8239c768b71 \ + --hash=sha256:cee9d5efd929efdac5f7e58f72b3376f676b64050a91c5b99a7094c5b2317488 \ + --hash=sha256:d158cd89df6053823533e06fb1d73c549133bff5f0396170c0e53d9559340717 \ + --hash=sha256:d20029a60a71a052a24c4db7673bc4de39ab89adbaccbfb5d67987c5d73f424d \ + --hash=sha256:d413349d565dab74297f2a63e84a097936be69bf8f3b3801f27f380e32040f44 \ + --hash=sha256:d4a4b147f5dca2a5d325a06a832fb43f345751adfbc63204aec30e0d9ca965a2 \ + --hash=sha256:d516b3283a758e087841aedb8031549fb41ced08f3db10aa6d2bf32dc042525b \ + --hash=sha256:d73a585accffa5ae39c17264c36ec3166d2fad7000c780f5ef83b2722afb9dd2 \ + --hash=sha256:dbd6c97045dad81227c8d040173da044c1de08de64a5ea8b555da4aee1d5fa22 \ + --hash=sha256:e0618518f282c4ebff60f5e5b1247b6d91bb8b9f4476947563a1e74acc66f3c6 \ + --hash=sha256:e140ed30ebde76796b686e67c182cff10ea2fbab186fafd1560f74bb5a473a6e \ + --hash=sha256:e1cfd51e97e13ff3bd047c140764d277fc9b95b7cb5da59e46a47d167adab310 \ + --hash=sha256:e2ca07fa7d89195ec0865d3d285666286740bfa83d83e5cee204043a31ecc165 \ + --hash=sha256:e53a384f76b631c3ae5334ce6a52f0baa3a911eb94a4eac7f160079868b716d5 \ + --hash=sha256:eb283ee99e21ad6443c8cdb06ac5b34b1308c329cbdf03fa02b445363714c799 \ + --hash=sha256:eb72919d93e3a16fc451d3aa3d4b1698423daca1b382d3d959c9ac51297c12a8 \ + --hash=sha256:ecb47f183a8025b2aa18b546725c3657e542112ae9c0613a2af79b4fa8d04ad7 \ + --hash=sha256:f155b3a1b2a5fc89cdc70d47ee5d54e3b75e88efa34982028a35daef9ba00379 \ + --hash=sha256:f22943b7770483f6ea0721c6b11d022947a98eb0acae14694de034f4d0d38925 \ + --hash=sha256:f28b2725eb8cce327b9b3ab02415c853011dc55c95832fe90de6bc56f5315f72 \ + --hash=sha256:f88af53d6ddaf72179ef613ddc905e6f4785f712b49b80b3bef9f3525e6194b4 \ + --hash=sha256:faea288b6f0ab1902ef08f4ca6de005dccf856c4e0c4f21b8c5fce02d90a1b08 \ + --hash=sha256:fff610d7bb2256a317bb1e96f0d7862c7aa8076733ee5df0fd41bbe76a24a4f4 # via uvicorn websockets==16.0 \ --hash=sha256:0298d07ee155e2e9fda5be8a9042200dd2e3bb0b8a38482156576f863a9d457c \ @@ -1604,7 +1604,7 @@ websockets==16.0 \ --hash=sha256:f4a32d1bd841d4bcbffdcb3d2ce50c09c3909fbead375ab28d0181af89fd04da \ --hash=sha256:fd3cb4adb94a2a6e2b7c0d8d05cb94e6f1c81a0cf9dc2694fb65c7e8d94c42e4 # via uvicorn -zipp==3.23.1 \ - --hash=sha256:0b3596c50a5c700c9cb40ba8d86d9f2cc4807e9bedb06bcdf7fac85633e444dc \ - --hash=sha256:32120e378d32cd9714ad503c1d024619063ec28aad2248dc6672ad13edfa5110 +zipp==4.1.0 \ + --hash=sha256:25ad4e16390cd314347dd8f1de67a2ac538ae658ed4ab9db16029c07c188e97f \ + --hash=sha256:4cb57381f544315db7688e976e922a2b18cdb513d21cc194eb42232ba2a3e602 # via importlib-metadata diff --git a/sdk/python/requirements/py3.12-ci-requirements.txt b/sdk/python/requirements/py3.12-ci-requirements.txt index 3781f17c67d..181df9d8952 100644 --- a/sdk/python/requirements/py3.12-ci-requirements.txt +++ b/sdk/python/requirements/py3.12-ci-requirements.txt @@ -137,6 +137,7 @@ aiohttp==3.13.5 \ # aiobotocore # aiohttp-cors # fsspec + # mlflow # ray aiohttp-cors==0.8.1 \ --hash=sha256:3180cf304c5c712d626b9162b195b1db7ddf976a2a25172b35bb2448b890a80d \ @@ -154,6 +155,10 @@ alabaster==0.7.16 \ --hash=sha256:75a8b99c28a5dad50dd7f8ccdd447a121ddb3892da9e53d1ca5cca3106d58d65 \ --hash=sha256:b46733c07dce03ae4e150330b975c75737fa60f0a7c591b6c8bf4928a28e2c92 # via sphinx +alembic==1.18.4 \ + --hash=sha256:a5ed4adcf6d8a4cb575f3d759f071b03cd6e5c7618eb796cb52497be25bfe19a \ + --hash=sha256:cb6e1fd84b6174ab8dbb2329f86d631ba9559dd78df550b57804d607672cedbc + # via mlflow altair==4.2.2 \ --hash=sha256:39399a267c49b30d102c10411e67ab26374156a84b1aeb9fcd15140429ba49c5 \ --hash=sha256:8b45ebeaf8557f2d760c5c77b79f02ae12aee7c46c27c06014febab6f849bc87 @@ -261,9 +266,9 @@ azure-identity==1.25.3 \ --hash=sha256:ab23c0d63015f50b630ef6c6cf395e7262f439ce06e5d07a64e874c724f8d9e6 \ --hash=sha256:f4d0b956a8146f30333e071374171f3cfa7bdb8073adb8c3814b65567aa7447c # via feast (pyproject.toml) -azure-storage-blob==12.28.0 \ - --hash=sha256:00fb1db28bf6a7b7ecaa48e3b1d5c83bfadacc5a678b77826081304bd87d6461 \ - --hash=sha256:e7d98ea108258d29aa0efbfd591b2e2075fa1722a2fae8699f0b3c9de11eff41 +azure-storage-blob==12.29.0 \ + --hash=sha256:2824ddd7ebc9056034ebc76b17971a38e9aa5835abb0d565b9700493f2a6c657 \ + --hash=sha256:ccf8a1bcd5e49df83ab85aab793b579e5ba2eeea2ad8900b2f62ca3a37dc391f # via feast (pyproject.toml) babel==2.18.0 \ --hash=sha256:b80b99a14bd085fcacfa15c9165f651fbb3406e66cc603abf11c5750937c992d \ @@ -350,6 +355,10 @@ bleach[css]==6.3.0 \ --hash=sha256:6f3b91b1c0a02bb9a78b5a454c92506aa0fdf197e1d5e114d2e00c6f64306d22 \ --hash=sha256:fe10ec77c93ddf3d13a73b035abaac7a9f5e436513864ccdad516693213c65d6 # via nbconvert +blinker==1.9.0 \ + --hash=sha256:b4ce2265a7abece45e7cc896e98dbebe6cead56bcf805a3d23136d145f5445bf \ + --hash=sha256:ba0efaa9080b619ff2f3459d1d500c57bddea4a6b424b60a91141db6fd2f08bc + # via flask boto3==1.38.27 \ --hash=sha256:94bd7fdd92d5701b362d4df100d21e28f8307a67ff56b6a8b0398119cf22f859 \ --hash=sha256:95f5fe688795303a8a15e8b7e7f255cadab35eae459d00cc281a4fd77252ea80 @@ -373,6 +382,12 @@ build==1.5.0 \ # feast (pyproject.toml) # pip-tools # singlestoredb +cachetools==7.1.3 \ + --hash=sha256:135cfe944bc3c1e805505f65dae0bef375a2f96261171ab66c79ef77d0bda39d \ + --hash=sha256:9876787e2346e20584d5cca236cb5d49d04e7193de91646f230725b2e1e8b804 + # via + # mlflow-skinny + # mlflow-tracing cassandra-driver==3.30.0 \ --hash=sha256:0c28a8e84917acebecbaed39844047c2f135739c3627dd7b9f8541af33e11df3 \ --hash=sha256:0f4225082a11d9529416c223553ab38a29c4e65da6646b40159c554480dc002c \ @@ -641,14 +656,16 @@ charset-normalizer==3.4.7 \ # via # requests # snowflake-connector-python -click==8.3.3 \ - --hash=sha256:398329ad4837b2ff7cbe1dd166a4c0f8900c3ca3a218de04466f38f6497f18a2 \ - --hash=sha256:a2bf429bb3033c89fa4936ffb35d5cb471e3719e1f3c8a7c3fff0b8314305613 +click==8.4.0 \ + --hash=sha256:40c50b7c6c6adac2823d411041ec84f3f103f1b280d5e9ce0d7f998995832f81 \ + --hash=sha256:638f1338fe1235c8f4e008e4a8a254fb5c5fbdcbb40ece3c9142ebb78e792973 # via # feast (pyproject.toml) # dask + # flask # geomet # great-expectations + # mlflow-skinny # pip-tools # ray # typer @@ -659,6 +676,7 @@ clickhouse-connect==1.0.0 \ --hash=sha256:04ba770a1e3d0f2d093fc7400d2da0e121b55b092b65250d738e09b0139a594e \ --hash=sha256:07c23806a5dd00e95d7edd75796a2667234e99934033fb8f39659f58eb18fab1 \ --hash=sha256:0a6faf07cfb16feb345c36dc5e2895a655d923ef64f10ff616eca44dfe5cc5b0 \ + --hash=sha256:0d4ed1e296c6e77dc0dbf486607cc39fc6e36866abb653543d5ad0a8426ea8f0 \ --hash=sha256:0fcccd2b49d57a09e465fc0c01c7c323f0db637241b3fc93d869d1b256c46184 \ --hash=sha256:1265ab0139fcf6fd36d358697a1a4dab313a6bdb7ab9a9bc8ecc3f656f16dee3 \ --hash=sha256:1415f440ae59b03e10bd5cc11c0034f30ad5f8fad74b42153926482c99ac21eb \ @@ -711,7 +729,9 @@ clickhouse-connect==1.0.0 \ cloudpickle==3.1.2 \ --hash=sha256:7fda9eb655c9c230dab534f1983763de5835249750e85fbcef43aaa30a9a2414 \ --hash=sha256:9acb47f6afd73f60dc1df93bb801b472f05ff42fa6c84167d25cb206be1fbf4a - # via dask + # via + # dask + # mlflow-skinny codeflare-sdk==0.37.0 \ --hash=sha256:2106118d9341db7e329da59f296bc635c08e365d4a644013bb9a55ce38c54da5 \ --hash=sha256:a5f86b9541a3ef2498bc920465b0e106c4e58bfa2004d14ff177f83761afd469 @@ -732,6 +752,80 @@ comm==0.2.3 \ # via # ipykernel # ipywidgets +contourpy==1.3.3 \ + --hash=sha256:023b44101dfe49d7d53932be418477dba359649246075c996866106da069af69 \ + --hash=sha256:07ce5ed73ecdc4a03ffe3e1b3e3c1166db35ae7584be76f65dbbe28a7791b0cc \ + --hash=sha256:083e12155b210502d0bca491432bb04d56dc3432f95a979b429f2848c3dbe880 \ + --hash=sha256:0bf67e0e3f482cb69779dd3061b534eb35ac9b17f163d851e2a547d56dba0a3a \ + --hash=sha256:0c1fc238306b35f246d61a1d416a627348b5cf0648648a031e14bb8705fcdfe8 \ + --hash=sha256:13b68d6a62db8eafaebb8039218921399baf6e47bf85006fd8529f2a08ef33fc \ + --hash=sha256:15ff10bfada4bf92ec8b31c62bf7c1834c244019b4a33095a68000d7075df470 \ + --hash=sha256:177fb367556747a686509d6fef71d221a4b198a3905fe824430e5ea0fda54eb5 \ + --hash=sha256:1cadd8b8969f060ba45ed7c1b714fe69185812ab43bd6b86a9123fe8f99c3263 \ + --hash=sha256:1fd43c3be4c8e5fd6e4f2baeae35ae18176cf2e5cced681cca908addf1cdd53b \ + --hash=sha256:22e9b1bd7a9b1d652cd77388465dc358dafcd2e217d35552424aa4f996f524f5 \ + --hash=sha256:23416f38bfd74d5d28ab8429cc4d63fa67d5068bd711a85edb1c3fb0c3e2f381 \ + --hash=sha256:283edd842a01e3dcd435b1c5116798d661378d83d36d337b8dde1d16a5fc9ba3 \ + --hash=sha256:2a2a8b627d5cc6b7c41a4beff6c5ad5eb848c88255fda4a8745f7e901b32d8e4 \ + --hash=sha256:2b7e9480ffe2b0cd2e787e4df64270e3a0440d9db8dc823312e2c940c167df7e \ + --hash=sha256:322ab1c99b008dad206d406bb61d014cf0174df491ae9d9d0fac6a6fda4f977f \ + --hash=sha256:33c82d0138c0a062380332c861387650c82e4cf1747aaa6938b9b6516762e772 \ + --hash=sha256:348ac1f5d4f1d66d3322420f01d42e43122f43616e0f194fc1c9f5d830c5b286 \ + --hash=sha256:3519428f6be58431c56581f1694ba8e50626f2dd550af225f82fb5f5814d2a42 \ + --hash=sha256:3c30273eb2a55024ff31ba7d052dde990d7d8e5450f4bbb6e913558b3d6c2301 \ + --hash=sha256:3d1a3799d62d45c18bafd41c5fa05120b96a28079f2393af559b843d1a966a77 \ + --hash=sha256:451e71b5a7d597379ef572de31eeb909a87246974d960049a9848c3bc6c41bf7 \ + --hash=sha256:459c1f020cd59fcfe6650180678a9993932d80d44ccde1fa1868977438f0b411 \ + --hash=sha256:4d00e655fcef08aba35ec9610536bfe90267d7ab5ba944f7032549c55a146da1 \ + --hash=sha256:4debd64f124ca62069f313a9cb86656ff087786016d76927ae2cf37846b006c9 \ + --hash=sha256:4feffb6537d64b84877da813a5c30f1422ea5739566abf0bd18065ac040e120a \ + --hash=sha256:50ed930df7289ff2a8d7afeb9603f8289e5704755c7e5c3bbd929c90c817164b \ + --hash=sha256:51e79c1f7470158e838808d4a996fa9bac72c498e93d8ebe5119bc1e6becb0db \ + --hash=sha256:556dba8fb6f5d8742f2923fe9457dbdd51e1049c4a43fd3986a0b14a1d815fc6 \ + --hash=sha256:598c3aaece21c503615fd59c92a3598b428b2f01bfb4b8ca9c4edeecc2438620 \ + --hash=sha256:5ed3657edf08512fc3fe81b510e35c2012fbd3081d2e26160f27ca28affec989 \ + --hash=sha256:626d60935cf668e70a5ce6ff184fd713e9683fb458898e4249b63be9e28286ea \ + --hash=sha256:644a6853d15b2512d67881586bd03f462c7ab755db95f16f14d7e238f2852c67 \ + --hash=sha256:655456777ff65c2c548b7c454af9c6f33f16c8884f11083244b5819cc214f1b5 \ + --hash=sha256:66c8a43a4f7b8df8b71ee1840e4211a3c8d93b214b213f590e18a1beca458f7d \ + --hash=sha256:6afc576f7b33cf00996e5c1102dc2a8f7cc89e39c0b55df93a0b78c1bd992b36 \ + --hash=sha256:6c3d53c796f8647d6deb1abe867daeb66dcc8a97e8455efa729516b997b8ed99 \ + --hash=sha256:709a48ef9a690e1343202916450bc48b9e51c049b089c7f79a267b46cffcdaa1 \ + --hash=sha256:70f9aad7de812d6541d29d2bbf8feb22ff7e1c299523db288004e3157ff4674e \ + --hash=sha256:8153b8bfc11e1e4d75bcb0bff1db232f9e10b274e0929de9d608027e0d34ff8b \ + --hash=sha256:87acf5963fc2b34825e5b6b048f40e3635dd547f590b04d2ab317c2619ef7ae8 \ + --hash=sha256:88df9880d507169449d434c293467418b9f6cbe82edd19284aa0409e7fdb933d \ + --hash=sha256:929ddf8c4c7f348e4c0a5a3a714b5c8542ffaa8c22954862a46ca1813b667ee7 \ + --hash=sha256:92d9abc807cf7d0e047b95ca5d957cf4792fcd04e920ca70d48add15c1a90ea7 \ + --hash=sha256:95b181891b4c71de4bb404c6621e7e2390745f887f2a026b2d99e92c17892339 \ + --hash=sha256:9e999574eddae35f1312c2b4b717b7885d4edd6cb46700e04f7f02db454e67c1 \ + --hash=sha256:a15459b0f4615b00bbd1e91f1b9e19b7e63aea7483d03d804186f278c0af2659 \ + --hash=sha256:a22738912262aa3e254e4f3cb079a95a67132fc5a063890e224393596902f5a4 \ + --hash=sha256:ab2fd90904c503739a75b7c8c5c01160130ba67944a7b77bbf36ef8054576e7f \ + --hash=sha256:ab3074b48c4e2cf1a960e6bbeb7f04566bf36b1861d5c9d4d8ac04b82e38ba20 \ + --hash=sha256:afe5a512f31ee6bd7d0dda52ec9864c984ca3d66664444f2d72e0dc4eb832e36 \ + --hash=sha256:b08a32ea2f8e42cf1d4be3169a98dd4be32bafe4f22b6c4cb4ba810fa9e5d2cb \ + --hash=sha256:b20c7c9a3bf701366556e1b1984ed2d0cedf999903c51311417cf5f591d8c78d \ + --hash=sha256:b2e8faa0ed68cb29af51edd8e24798bb661eac3bd9f65420c1887b6ca89987c8 \ + --hash=sha256:b7301b89040075c30e5768810bc96a8e8d78085b47d8be6e4c3f5a0b4ed478a0 \ + --hash=sha256:b7448cb5a725bb1e35ce88771b86fba35ef418952474492cf7c764059933ff8b \ + --hash=sha256:ca0fdcd73925568ca027e0b17ab07aad764be4706d0a925b89227e447d9737b7 \ + --hash=sha256:ca658cd1a680a5c9ea96dc61cdbae1e85c8f25849843aa799dfd3cb370ad4fbe \ + --hash=sha256:cbedb772ed74ff5be440fa8eee9bd49f64f6e3fc09436d9c7d8f1c287b121d77 \ + --hash=sha256:cd5dfcaeb10f7b7f9dc8941717c6c2ade08f587be2226222c12b25f0483ed497 \ + --hash=sha256:cf9022ef053f2694e31d630feaacb21ea24224be1c3ad0520b13d844274614fd \ + --hash=sha256:d002b6f00d73d69333dac9d0b8d5e84d9724ff9ef044fd63c5986e62b7c9e1b1 \ + --hash=sha256:d06bb1f751ba5d417047db62bca3c8fde202b8c11fb50742ab3ab962c81e8216 \ + --hash=sha256:d304906ecc71672e9c89e87c4675dc5c2645e1f4269a5063b99b0bb29f232d13 \ + --hash=sha256:e4e6b05a45525357e382909a4c1600444e2a45b4795163d3b22669285591c1ae \ + --hash=sha256:e74a9a0f5e3fff48fb5a7f2fd2b9b70a3fe014a67522f79b7cca4c0c7e43c9ae \ + --hash=sha256:ea37e7b45949df430fe649e5de8351c423430046a2af20b1c1961cae3afcda77 \ + --hash=sha256:f64836de09927cba6f79dcd00fdd7d5329f3fccc633468507079c829ca4db4e3 \ + --hash=sha256:fd6ec6be509c787f1caf6b247f0b1ca598bef13f4ddeaa126b7658215529ba0f \ + --hash=sha256:fd907ae12cd483cd83e414b12941c632a969171bf90fc937d0c9f268a31cafff \ + --hash=sha256:fd914713266421b7536de2bfa8181aa8c699432b6763a0ea64195ebe28bff6a9 \ + --hash=sha256:fde6c716d51c04b1c25d0b90364d0be954624a0ee9d60e23e850e8d48353d07a + # via matplotlib couchbase==4.3.2 \ --hash=sha256:032a180afd6621358b2c73543b9c5db9939b442fc3ad6d54417c36c8a8f65838 \ --hash=sha256:11ce688ed46edf8387bf51866618c7b4e06399e7fb34a6df002764996c109d1f \ @@ -964,6 +1058,7 @@ cryptography==46.0.7 \ # google-auth # great-expectations # jwcrypto + # mlflow # moto # msal # oracledb @@ -973,10 +1068,20 @@ cryptography==46.0.7 \ # snowflake-connector-python # types-pyopenssl # types-redis +cycler==0.12.1 \ + --hash=sha256:85cef7cff222d8644161529808465972e51340599459b8ac3ccbac5a854e0d30 \ + --hash=sha256:88bb128f02ba341da8ef447245a9e138fae777f6a23943da4540077d3601eb1c + # via matplotlib dask[dataframe]==2026.3.0 \ --hash=sha256:be614b9242b0b38288060fb2d7696125946469c98a1c30e174883fd199e0428d \ --hash=sha256:f7d96c8274e8a900d217c1ff6ea8d1bbf0b4c2c21e74a409644498d925eb8f85 # via feast (pyproject.toml) +databricks-sdk==0.109.0 \ + --hash=sha256:46745a25324a5b36f01236760e44fc6e2bce3f051224e6f8aef7633477fcbec8 \ + --hash=sha256:96b90f5ee2e0fac89f351aa77348263e1e0ed5d4d867cdfaefd2e0acc01b1e81 + # via + # mlflow-skinny + # mlflow-tracing datasets==4.8.5 \ --hash=sha256:0f0c1c3d56ffff2c93b2f4c63c95bac94f3d7e8621aea2a2a576275233bba772 \ --hash=sha256:5079900781719c0e063a8efdd2cd95a31ad0c63209178669cd23cf1b926149ff @@ -1023,9 +1128,9 @@ debugpy==1.8.20 \ --hash=sha256:eada6042ad88fa1571b74bd5402ee8b86eded7a8f7b827849761700aff171f1b \ --hash=sha256:eb506e45943cab2efb7c6eafdd65b842f3ae779f020c82221f55aca9de135ed7 # via ipykernel -decorator==5.2.1 \ - --hash=sha256:65f266143752f734b0a7cc83c46f4618af75b8c5911b00ccb61d0ac9b6da0360 \ - --hash=sha256:d316bb415a2d9e2d2b3abcc4084c6502fc09240e292cd76a76afc106a1c8e04a +decorator==5.3.1 \ + --hash=sha256:4cbcdd55a6efadb9dbea26b858f4fb3264567b52d69ca0d25b721b553f60ea82 \ + --hash=sha256:f47fe6fdbd2edd623ecfe36875d37aba411624e2670dd395dddae1358689bb3c # via ipython defusedxml==0.7.1 \ --hash=sha256:1bb3032db185915b62d7c6209c5a8792be6a32ab2fedacc84e01b52c51aa3e69 \ @@ -1070,14 +1175,16 @@ dnspython==2.8.0 \ docker==7.1.0 \ --hash=sha256:ad8c70e6e3f8926cb8a92619b832b4ea5299e2831c14284663184e200546fa6c \ --hash=sha256:c96b93b7f0a746f9e77d325bcfb87422a3d8bd4f03136ae8a85b37f1898d5fc0 - # via testcontainers + # via + # mlflow + # testcontainers docling==2.27.0 \ --hash=sha256:1288ed75b27e33bf94daff34faffc6d11b7d7ccc13e3df84fb24adad3991f72d \ --hash=sha256:faba35662612a2c687a3a463e501d95f645316436084af92a0442ce162429a3d # via feast (pyproject.toml) -docling-core[chunking]==2.75.0 \ - --hash=sha256:60f7bc4025f6511ba82eeb0aa677e756e9d3bf069d6f207c6ef2fb8be3176f32 \ - --hash=sha256:7961be3c3f58855324b081fce9e1231b892da7c61d6babbaf3d49c28387eb782 +docling-core[chunking]==2.76.0 \ + --hash=sha256:55af705c6d0755254afddb959fe5dea3a6d413d3ea7539e380bb008268806316 \ + --hash=sha256:e4f681ad434cb45ba93bd3afaab62c5d910bf9ac6b3fdb98b12ee2e476bb75a4 # via # docling # docling-ibm-models @@ -1222,6 +1329,7 @@ fastapi==0.136.1 \ # via # feast (pyproject.toml) # fastapi-mcp + # mlflow-skinny fastapi-mcp==0.4.0 \ --hash=sha256:d4a3fe7966af24d44e4b412720561c95eb12bed999a4443a88221834b3b15aec \ --hash=sha256:d4ca9410996f4c7b8ea0d7b20fdf79878dc359ebf89cbf3b222e0b675a55097d @@ -1245,6 +1353,68 @@ filetype==1.2.0 \ --hash=sha256:66b56cd6474bf41d8c54660347d37afcc3f7d1970648de365c102ef77548aadb \ --hash=sha256:7ce71b6880181241cf7ac8697a2f1eb6a8bd9b429f7ad6d27b8db9ba5f1c2d25 # via docling +flask==3.1.3 \ + --hash=sha256:0ef0e52b8a9cd932855379197dd8f94047b359ca0a78695144304cb45f87c9eb \ + --hash=sha256:f4bcbefc124291925f1a26446da31a5178f9483862233b23c0c96a20701f670c + # via + # flask-cors + # mlflow +flask-cors==6.0.2 \ + --hash=sha256:6e118f3698249ae33e429760db98ce032a8bf9913638d085ca0f4c5534ad2423 \ + --hash=sha256:e57544d415dfd7da89a9564e1e3a9e515042df76e12130641ca6f3f2f03b699a + # via mlflow +fonttools==4.63.0 \ + --hash=sha256:032038247a96c1690f9f31e377c389383c902531b085aa4e4dabd6f57f870e69 \ + --hash=sha256:063e08bd17bd5a90127a14123de0d6a952dbc847695fd98b63c043d58057f90c \ + --hash=sha256:0c18358a155d75034911c5ee397a5b44cd19dd325dbb8b35fb60bf421d6a72ac \ + --hash=sha256:0eac00b9118c3c2f87d272e45341871c5b3066baa3c86897fa634a7c3fb59096 \ + --hash=sha256:1e874792a8212b44583ea02189d9e693906b2f78b261f372f95d6c563210ac1d \ + --hash=sha256:22135da48a348785c5e2d5d2d9d6bec5ed44adacbaeb9db12d9493bf6c6bfa68 \ + --hash=sha256:22693918177bd9ceabec4736d338045f357769416fc6b0b2508eefef75b08616 \ + --hash=sha256:27fdc65af8da6f88b9c6121c47a464cbe359fcfff7ff6fc2d37a1f395d755b78 \ + --hash=sha256:2b8ae05d9eacf6081414d759c0a352769ac28ce31280d6bb8e77b03f9e3c449f \ + --hash=sha256:2c14b4fd138c4bafcca294765c547914e1aa431ae1ca94ab99d8db08c958bd3b \ + --hash=sha256:308f957cdeaf8abe4e5f2f124902ef405448af92c90f80e302a3b771c2e6116b \ + --hash=sha256:37dd23e621e3b0aef1baa70a303b80aaf38449632cfc8fd2a55fb285bbccfc02 \ + --hash=sha256:445af2eab030a16b9171ea8bdda7ebf7d96bda2df88ee182a464252f6e05e20d \ + --hash=sha256:51394295f1a51de8b5f30bdb1e1b9a4231536c7064ef5c6e211eec19fa36036f \ + --hash=sha256:58dc6bb86a78d782f00f9190ca02c119cf5bbe2807536e361e18d42019f877d8 \ + --hash=sha256:59ac449f8cca9b4ffa08d2e7bbadad87ce710d69d1eda5c3c1ce579baa987272 \ + --hash=sha256:6b2248c5decb223562f7902ff6325077a073f608ee8e33e88ad88db734eb9f49 \ + --hash=sha256:6d4741eb179121cab9eea4cb2393d24492373a260d7945006358c08cfbf45419 \ + --hash=sha256:6db5140a60a5d731d21ec076745b40a310607731b0a565b50776393188649001 \ + --hash=sha256:6e528da43bc3791085f8cb6141b1d13e459226790240340fcbb4625649238b03 \ + --hash=sha256:796f27556dbe094c4824f75ca85267e4df776c79036c8441469a4df37038c196 \ + --hash=sha256:79cdc9f567aec74a72918fd060283911406750cbc9fd28c1316023deb6ce31a9 \ + --hash=sha256:7d76edbff9014094dbf03bd2d074709dfa6ec7aba13d838c937a2b33d2d6a86e \ + --hash=sha256:7d782fac32985914c351556f68ac0855391572bcd87de50e05970d3cd4c96fc5 \ + --hash=sha256:7dd683fef0663e9f0f45cf541d788d24caa3ec9db50796b588e1757d8b3bc007 \ + --hash=sha256:85be818f5506e8a7753153def2c9550178f0ecae6a47b5e0e8dbb23f7cc90380 \ + --hash=sha256:948428a275741f0b64b113c955425a953314f4b9ab9997f73a72c83e68e569c8 \ + --hash=sha256:9ced0bd02ac751dd6319b0da88aaef24414e3b0dbc32bb4f24944821a3741a27 \ + --hash=sha256:9e12f105d2b6342c559c298afb674006bb2893afc7102dcf8a1b55b0486b4e40 \ + --hash=sha256:a8b33a82979e0a6a34ff435cc81317be1f95ec1ebb7a3a2d1c8a6a54f02ae44e \ + --hash=sha256:a9faff9e0c1f76f9fd55899d2ce785832efebab37eb8ae13995853aef178bef0 \ + --hash=sha256:af2fd1664d00a397d75f806985ddb36282091c2131a73a6485c23b4a34722263 \ + --hash=sha256:afefc1ed0a59785a7fb06ea7e1678e849c193e1e387db783579bc7b3056fcfcb \ + --hash=sha256:b1cd75a03ad8cb5bc40c90bfde68c0c47de423aa19e5c0f362b43520645eea94 \ + --hash=sha256:ba04cb5891d4c0c21b6da95eda8d7b090021508a294fff33464fc7d241e0856b \ + --hash=sha256:bf00f21eb5fb721dbaf73d1e9da6d02a1af7768f2ebcf9798be98beab8ba90f6 \ + --hash=sha256:c0425b277a59cff3d80ca42162a8de360f318438a2ac83570842a678d826d579 \ + --hash=sha256:c1aaa4b9c75798400ac043ce04d74e7830376c85095a5a6ed7cba2f17a266bf4 \ + --hash=sha256:c2a2a42198b696a6f48fad91709afb55176e66a5e566131219dba372fb7f8c59 \ + --hash=sha256:caeb583deeb5168e694b65cda8b4ee62abedfa66cf88488734466f2366b9c4e0 \ + --hash=sha256:cb014d58140a38135f16064c74c652ed57aa0b75cbf8bb59cac821f7edb5334e \ + --hash=sha256:ccf41f2efdf56994d22d73bef4ced1052161958169428d06ba9724ea9e9a64be \ + --hash=sha256:cd7e9857e5e63738b9d9fd707bc1f59c8b09e5177726d23664db393c59bb08bd \ + --hash=sha256:d76ac49f929aecaf82d83250b8347e099d7aecba0f4726c1d9b6df3b8bb5fe18 \ + --hash=sha256:d7e5c9973aa04c95650c96e5f5ad865fbf42d62079163ecfab1e01cbc2504c22 \ + --hash=sha256:dcf076a4474fe0d7367e5bbf5b052c7284fa1feca729c04176ce513521afd8a0 \ + --hash=sha256:e3297a6a4059b4acc3a1e9a8b04741f240a80044eef08ebd32e8b5bcdddce75b \ + --hash=sha256:ee08ebfa58f6e1aeff5697ab9582105bb620008c1caafb681e4c557e7483027b \ + --hash=sha256:ef3048ef05dbb552b89817713d9cac912e00d0fde4a3105c00d29e52e10c89af \ + --hash=sha256:fd1e3094f42d806d3d7c79162fc59e5910fcbe3a7360c385b8da969bc4493745 + # via matplotlib fqdn==1.5.1 \ --hash=sha256:105ed3677e767fb5ca086a0c1f4bb66ebc3c100be518f0e0d755d9eae164d89f \ --hash=sha256:3a179af3761e4df6eb2e026ff9e1a3033d3587bf980a0b1b2e1e5d08d7358014 @@ -1397,6 +1567,14 @@ geomet==1.1.0 \ --hash=sha256:4372fe4e286a34acc6f2e9308284850bd8c4aa5bc12065e2abbd4995900db12f \ --hash=sha256:51e92231a0ef6aaa63ac20c443377ba78a303fd2ecd179dc3567de79f3c11605 # via cassandra-driver +gitdb==4.0.12 \ + --hash=sha256:5ef71f855d191a3326fcfbc0d5da835f26b13fbcba60c32c21091c349ffdb571 \ + --hash=sha256:67073e15955400952c6565cc3e707c554a4eea2e428946f7a4c162fab9bd9bcf + # via gitpython +gitpython==3.1.50 \ + --hash=sha256:80da2d12504d52e1f998772dc5baf6e553f8d2fcfe1fcc226c9d9a2ee3372dcc \ + --hash=sha256:d352abe2908d07355014abdd21ddf798c2a961469239afec4962e9da884858f9 + # via mlflow-skinny google-api-core[grpc]==2.30.3 \ --hash=sha256:a85761ba72c444dad5d611c2220633480b2b6be2521eca69cca2dbb3ffd6bfe8 \ --hash=sha256:e601a37f148585319b26db36e219df68c5d07b6382cff2d580e83404e44d641b @@ -1410,10 +1588,11 @@ google-api-core[grpc]==2.30.3 \ # google-cloud-storage # opencensus # pandas-gbq -google-auth==2.52.0 \ - --hash=sha256:01f30e1a9e3638698d89464f5e603ce29d18e1c0e63ec31ac570aba4e164aaf5 \ - --hash=sha256:aee92803ba0ff93a70a3b8a35c7b4797837751cd6380b63ff38372b98f3ed627 +google-auth==2.53.0 \ + --hash=sha256:6e7449917c599b35126a99ec268ec6880301f2fea41dce198fe8fd83ff642b68 \ + --hash=sha256:e7e6aa16f6bee7b2b264830fd04f08087a1d5a836df516251a5d15327b246c9c # via + # databricks-sdk # google-api-core # google-auth-oauthlib # google-cloud-bigquery @@ -1512,6 +1691,20 @@ googleapis-common-protos[grpc]==1.75.0 \ # google-api-core # grpc-google-iam-v1 # grpcio-status +graphene==3.4.3 \ + --hash=sha256:2a3786948ce75fe7e078443d37f609cbe5bb36ad8d6b828740ad3b95ed1a0aaa \ + --hash=sha256:820db6289754c181007a150db1f7fff544b94142b556d12e3ebc777a7bf36c71 + # via mlflow +graphql-core==3.2.8 \ + --hash=sha256:015457da5d996c924ddf57a43f4e959b0b94fb695b85ed4c29446e508ed65cf3 \ + --hash=sha256:cbee07bee1b3ed5e531723685369039f32ff815ef60166686e0162f540f1520c + # via + # graphene + # graphql-relay +graphql-relay==3.2.0 \ + --hash=sha256:1ff1c51298356e481a0be009ccdff249832ce53f30559c1338f22a0e0d17250c \ + --hash=sha256:c9b22bd28b170ba1fe674c74384a8ff30a76c8e26f88ac3aa1584dd3179953e5 + # via graphene great-expectations==0.18.8 \ --hash=sha256:ab41cfa3de829a4f77bdcd4a23244684cbb67fdacc734d38910164cd02ec95b6 \ --hash=sha256:c1205bede593f679e22e0b3826d6ae1623c439cafd553f9f0bc2b0fd441f6ed9 @@ -1658,11 +1851,12 @@ grpcio-tools==1.62.3 \ --hash=sha256:f4b1615adf67bd8bb71f3464146a6f9949972d06d21a4f5e87e73f6464d97f57 \ --hash=sha256:f6831fdec2b853c9daa3358535c55eed3694325889aa714070528cf8f92d7d6d # via feast (pyproject.toml) -gunicorn==26.0.0 \ - --hash=sha256:40233d26a5f0d1872916188c276e21641155111c2853f0c2cd55260aec0d24fc \ - --hash=sha256:ca9346f85e3a4aeeb64d491045c16b9a35647abd37ea15efe53080eb8b090baf +gunicorn==25.3.0 \ + --hash=sha256:cacea387dab08cd6776501621c295a904fe8e3b7aae9a1a3cbb26f4e7ed54660 \ + --hash=sha256:f74e1b2f9f76f6cd1ca01198968bd2dd65830edc24b6e8e4d78de8320e2fe889 # via # feast (pyproject.toml) + # mlflow # uvicorn-worker h11==0.16.0 \ --hash=sha256:4e35b956cf45792e4caa5885e69fba00bdbc6ffafbfa020300e549b208ee5ff1 \ @@ -1885,6 +2079,10 @@ httpx-sse==0.4.3 \ --hash=sha256:0ac1c9fe3c0afad2e0ebb25a934a59f4c7823b60792691f779fad2c5568830fc \ --hash=sha256:9b1ed0127459a66014aec3c56bebd93da3c1bc8bb6618c8082039a44889a755d # via mcp +huey==2.6.0 \ + --hash=sha256:1b9df9d370b49c6d5721ba8a01ac9a787cf86b3bdc584e4679de27b920395c3f \ + --hash=sha256:8d11f8688999d65266af1425b831f6e3773e99415027177b8734b0ffd5e251f6 + # via mlflow huggingface-hub==0.36.2 \ --hash=sha256:1934304d2fb224f8afa3b87007d58501acfda9215b334eed53072dd5e815ff7a \ --hash=sha256:48f0c8eac16145dfce371e9d2d7772854a4f591bcb56c9cf548accf531d54270 @@ -1930,7 +2128,9 @@ imagesize==2.0.0 \ importlib-metadata==8.7.1 \ --hash=sha256:49fef1ae6440c182052f407c8d34a68f72efc36db9ca90dc0113398f2fdde8bb \ --hash=sha256:5a1f80bf1daa489495071efbb095d75a634cf28a8bc299581244063b53176151 - # via opentelemetry-api + # via + # mlflow-skinny + # opentelemetry-api importlib-resources==7.1.0 \ --hash=sha256:0722d4c6212489c530f2a145a34c0a7a3b4721bc96a15fada5930e2a0b760708 \ --hash=sha256:1bd7b48b4088eddb2cd16382150bb515af0bd2c70128194392725f82ad2c96a1 @@ -1972,6 +2172,10 @@ isoduration==20.11.0 \ --hash=sha256:ac2f9015137935279eac671f94f89eb00584f940f5dc49462a0c4ee692ba1bd9 \ --hash=sha256:b2904c2a4228c3d44f409c8ae8e2370eb21a26f7ac2ec5446df141dde3452042 # via jsonschema +itsdangerous==2.2.0 \ + --hash=sha256:c6242fc49e35958c8b15141343aa660db5fc54d4f13a1db01a3f5891b98700ef \ + --hash=sha256:e0050c0b7da1eea53ffaf149c0cfbb5c6e2e2b69c4bef22c81fa6eb73e5f6173 + # via flask jedi==0.20.0 \ --hash=sha256:7bdd9c2634f56713299976f4cbd59cb3fa92165cc5e05ea811fb253480728b67 \ --hash=sha256:c3f4ccbd276696f4b19c54618d4fb18f9fc24b0aef02acf704b23f487daa1011 @@ -1982,6 +2186,7 @@ jinja2==3.1.6 \ # via # feast (pyproject.toml) # altair + # flask # great-expectations # jupyter-server # jupyterlab @@ -2101,6 +2306,125 @@ jwcrypto==1.5.7 \ --hash=sha256:70204d7cca406eda8c82352e3c41ba2d946610dafd19e54403f0a1f4f18633c6 \ --hash=sha256:729463fefe28b6de5cf1ebfda3e94f1a1b41d2799148ef98a01cb9678ebe2bb0 # via python-keycloak +kiwisolver==1.5.0 \ + --hash=sha256:012b1eb16e28718fa782b5e61dc6f2da1f0792ca73bd05d54de6cb9561665fc9 \ + --hash=sha256:01808c6d15f4c3e8559595d6d1fe6411c68e4a3822b4b9972b44473b24f4e679 \ + --hash=sha256:0255a027391d52944eae1dbb5d4cc5903f57092f3674e8e544cdd2622826b3f0 \ + --hash=sha256:0b85aad90cea8ac6797a53b5d5f2e967334fa4d1149f031c4537569972596cb8 \ + --hash=sha256:0bf3acf1419fa93064a4c2189ac0b58e3be7872bf6ee6177b0d4c63dc4cea276 \ + --hash=sha256:0c50b89ffd3e1a911c69a1dd3de7173c0cd10b130f56222e57898683841e4f96 \ + --hash=sha256:0cbe94b69b819209a62cb27bdfa5dc2a8977d8de2f89dfd97ba4f53ed3af754e \ + --hash=sha256:0df54df7e686afa55e6f21fb86195224a6d9beb71d637e8d7920c95cf0f89aac \ + --hash=sha256:0e3aafb33aed7479377e5e9a82e9d4bf87063741fc99fc7ae48b0f16e32bdd6f \ + --hash=sha256:12e91c215a96e39f57989c8912ae761286ac5a9584d04030ceb3368a357f017a \ + --hash=sha256:1465387ac63576c3e125e5337a6892b9e99e0627d52317f3ca79e6930d889d15 \ + --hash=sha256:16b85d37c2cbb3253226d26e64663f755d88a03439a9c47df6246b35defbdfb7 \ + --hash=sha256:1b0feb50971481a2cc44d94e88bdb02cdd497618252ae226b8eb1201b957e368 \ + --hash=sha256:1d49a49ac4cbfb7c1375301cd1ec90169dfeae55ff84710d782260ce77a75a02 \ + --hash=sha256:1d9daea4ea6b9be74fe2f01f7fbade8d6ffab263e781274cffca0dba9be9eec9 \ + --hash=sha256:1dd9b0b119a350976a6d781e7278ec7aca0b201e1a9e2d23d9804afecb6ca681 \ + --hash=sha256:1f1489f769582498610e015a8ef2d36f28f505ab3096d0e16b4858a9ec214f57 \ + --hash=sha256:2517e24d7315eb51c10664cdb865195df38ab74456c677df67bb47f12d088a27 \ + --hash=sha256:295d9ffe712caa9f8a3081de8d32fc60191b4b51c76f02f951fd8407253528f4 \ + --hash=sha256:2a075bd7bd19c70cf67c8badfa36cf7c5d8de3c9ddb8420c51e10d9c50e94920 \ + --hash=sha256:32cc0a5365239a6ea0c6ed461e8838d053b57e397443c0ca894dcc8e388d4374 \ + --hash=sha256:332b4f0145c30b5f5ad9374881133e5aa64320428a57c2c2b61e9d891a51c2f3 \ + --hash=sha256:377815a8616074cabbf3f53354e1d040c35815a134e01d7614b7692e4bf8acfa \ + --hash=sha256:38f4a703656f493b0ad185211ccfca7f0386120f022066b018eb5296d8613e23 \ + --hash=sha256:3ac2360e93cb41be81121755c6462cff3beaa9967188c866e5fce5cf13170859 \ + --hash=sha256:3c4923e404d6bcd91b6779c009542e5647fef32e4a5d75e115e3bbac6f2335eb \ + --hash=sha256:3cdcb35dc9d807259c981a85531048ede628eabcffb3239adf3d17463518992d \ + --hash=sha256:41024ed50e44ab1a60d3fe0a9d15a4ccc9f5f2b1d814ff283c8d01134d5b81bc \ + --hash=sha256:413b820229730d358efd838ecbab79902fe97094565fdc80ddb6b0a18c18a581 \ + --hash=sha256:4432b835675f0ea7414aab3d37d119f7226d24869b7a829caeab49ebda407b0c \ + --hash=sha256:4db576bb8c3ef9365f8b40fe0f671644de6736ae2c27a2c62d7d8a1b4329f099 \ + --hash=sha256:4e7f886f47ab881692f278ae901039a234e4025a68e6dfab514263a0b1c4ae05 \ + --hash=sha256:4e9750bc21b886308024f8a54ccb9a2cc38ac9fa813bf4348434e3d54f337ff9 \ + --hash=sha256:5060731cc3ed12ca3a8b57acd4aeca5bbc2f49216dd0bec1650a1acd89486bcd \ + --hash=sha256:50847dca5d197fcbd389c805aa1a1cf32f25d2e7273dc47ab181a517666b68cc \ + --hash=sha256:5092eb5b1172947f57d6ea7d89b2f29650414e4293c47707eb499ec07a0ac796 \ + --hash=sha256:5124d1ea754509b09e53738ec185584cc609aae4a3b510aaf4ed6aa047ef9303 \ + --hash=sha256:51e8c4084897de9f05898c2c2a39af6318044ae969d46ff7a34ed3f96274adca \ + --hash=sha256:530a3fd64c87cffa844d4b6b9768774763d9caa299e9b75d8eca6a4423b31314 \ + --hash=sha256:56fa888f10d0f367155e76ce849fa1166fc9730d13bd2d65a2aa13b6f5424489 \ + --hash=sha256:58f812017cd2985c21fbffb4864d59174d4903dd66fa23815e74bbc7a0e2dd57 \ + --hash=sha256:59cd8683f575d96df5bb48f6add94afc055012c29e28124fcae2b63661b9efb1 \ + --hash=sha256:5ae8e62c147495b01a0f4765c878e9bfdf843412446a247e28df59936e99e797 \ + --hash=sha256:5b233ea3e165e43e35dba1d2b8ecc21cf070b45b65ae17dd2747d2713d942021 \ + --hash=sha256:6176c1811d9d5a04fa391c490cc44f451e240697a16977f11c6f722efb9041db \ + --hash=sha256:62f59da443c4f4849f73a51a193b1d9d258dcad0c41bc4d1b8fb2bcc04bfeb22 \ + --hash=sha256:6783e069732715ad0c3ce96dbf21dbc2235ab0593f2baf6338101f70371f4028 \ + --hash=sha256:6ab8ba9152203feec73758dad83af9a0bbe05001eb4639e547207c40cfb52083 \ + --hash=sha256:70d593af6a6ca332d1df73d519fddb5148edb15cd90d5f0155e3746a6d4fcc65 \ + --hash=sha256:72ec46b7eba5b395e0a7b63025490d3214c11013f4aacb4f5e8d6c3041829588 \ + --hash=sha256:7a32f72973f0f950c1920475d5c5ea3d971b81b6f0ec53b8d0a956cc965f22e0 \ + --hash=sha256:7a4aa69609f40fce3cbc3f87b2061f042eee32f94b8f11db707b66a26461591a \ + --hash=sha256:7c60d3c9b06fb23bd9c6139281ccbdc384297579ae037f08ae90c69f6845c0b1 \ + --hash=sha256:800ee55980c18545af444d93fdd60c56b580db5cc54867d8cbf8a1dc0829938c \ + --hash=sha256:80aa065ffd378ff784822a6d7c3212f2d5f5e9c3589614b5c228b311fd3063ac \ + --hash=sha256:86e0287879f75621ae85197b0877ed2f8b7aa57b511c7331dce2eb6f4de7d476 \ + --hash=sha256:893ff3a711d1b515ba9da14ee090519bad4610ed1962fbe298a434e8c5f8db53 \ + --hash=sha256:89fc958c702ee9a745e4700378f5d23fddbc46ff89e8fdbf5395c24d5c1452a3 \ + --hash=sha256:8c63c91f95173f9c2a67c7c526b2cea976828a0e7fced9cdcead2802dc10f8a4 \ + --hash=sha256:8df31fe574b8b3993cc61764f40941111b25c2d9fea13d3ce24a49907cd2d615 \ + --hash=sha256:8f9baf6f0a6e7571c45c8863010b45e837c3ee1c2c77fcd6ef423be91b21fedb \ + --hash=sha256:9027d773c4ff81487181a925945743413f6069634d0b122d0b37684ccf4f1e18 \ + --hash=sha256:9190426b7aa26c5229501fa297b8d0653cfd3f5a36f7990c264e157cbf886b3b \ + --hash=sha256:940dda65d5e764406b9fb92761cbf462e4e63f712ab60ed98f70552e496f3bf1 \ + --hash=sha256:94eff26096eb5395136634622515b234ecb6c9979824c1f5004c6e3c3c85ccd2 \ + --hash=sha256:9eed0f7edbb274413b6ee781cca50541c8c0facd3d6fd289779e494340a2b85c \ + --hash=sha256:ad4ae4ffd1ee9cd11357b4c66b612da9888f4f4daf2f36995eda64bd45370cac \ + --hash=sha256:b0f172dc8ffaccb8522d7c5d899de00133f2f1ca7b0a49b7da98e901de87bf2d \ + --hash=sha256:b2af221f268f5af85e776a73d62b0845fc8baf8ef0abfae79d29c77d0e776aaf \ + --hash=sha256:b7d335370ae48a780c6e6a6bbfa97342f563744c39c35562f3f367665f5c1de2 \ + --hash=sha256:b83af57bdddef03c01a9138034c6ff03181a3028d9a1003b301eb1a55e161a3f \ + --hash=sha256:bb5136fb5352d3f422df33f0c879a1b0c204004324150cc3b5e3c4f310c9049f \ + --hash=sha256:bc4d8e252f532ab46a1de9349e2d27b91fce46736a9eedaa37beaca66f574ed4 \ + --hash=sha256:bdd3e53429ff02aa319ba59dfe4ceeec345bf46cf180ec2cf6fd5b942e7975e9 \ + --hash=sha256:be12f931839a3bdfe28b584db0e640a65a8bcbc24560ae3fdb025a449b3d754e \ + --hash=sha256:be4a51a55833dc29ab5d7503e7bcb3b3af3402d266018137127450005cdfe737 \ + --hash=sha256:beb7f344487cdcb9e1efe4b7a29681b74d34c08f0043a327a74da852a6749e7b \ + --hash=sha256:bf4679a3d71012a7c2bf360e5cd878fbd5e4fcac0896b56393dec239d81529ed \ + --hash=sha256:c0e1403fd7c26d77c1f03e096dc58a5c726503fa0db0456678b8668f76f521e3 \ + --hash=sha256:c31c13da98624f957b0fb1b5bae5383b2333c2c3f6793d9825dd5ce79b525cb7 \ + --hash=sha256:c438f6ca858697c9ab67eb28246c92508af972e114cac34e57a6d4ba17a3ac08 \ + --hash=sha256:c8277104ded0a51e699c8c3aff63ce2c56d4ed5519a5f73e0fd7057f959a2b9e \ + --hash=sha256:c95cab08d1965db3d84a121f1c7ce7479bdd4072c9b3dafd8fecce48a2e6b902 \ + --hash=sha256:cc0b66c1eec9021353a4b4483afb12dfd50e3669ffbb9152d6842eb34c7e29fd \ + --hash=sha256:cdee07c4d7f6d72008d3f73b9bf027f4e11550224c7c50d8df1ae4a37c1402a6 \ + --hash=sha256:ce9bf03dad3b46408c08649c6fbd6ca28a9fce0eb32fdfffa6775a13103b5310 \ + --hash=sha256:cff8e5383db4989311f99e814feeb90c4723eb4edca425b9d5d9c3fefcdd9537 \ + --hash=sha256:d168fda2dbff7b9b5f38e693182d792a938c31db4dac3a80a4888de603c99554 \ + --hash=sha256:d1ffeb80b5676463d7a7d56acbe8e37a20ce725570e09549fe738e02ca6b7e1e \ + --hash=sha256:d36ca54cb4c6c4686f7cbb7b817f66f5911c12ddb519450bbe86707155028f87 \ + --hash=sha256:d4193f3d9dc3f6f79aaed0e5637f45d98850ebf01f7ca20e69457f3e8946b66a \ + --hash=sha256:d5cd5189fc2b6a538b75ae45433140c4823463918f7b1617c31e68b085c0022c \ + --hash=sha256:d618fd27420381a4f6044faa71f46d8bfd911bd077c555f7138ed88729bfbe79 \ + --hash=sha256:d76e2d8c75051d58177e762164d2e9ab92886534e3a12e795f103524f221dd8e \ + --hash=sha256:daae526907e262de627d8f70058a0f64acc9e2641c164c99c8f594b34a799a16 \ + --hash=sha256:db485b3847d182b908b483b2ed133c66d88d49cacf98fd278fadafe11b4478d1 \ + --hash=sha256:dd952e03bfbb096cfe2dd35cd9e00f269969b67536cb4370994afc20ff2d0875 \ + --hash=sha256:dda366d548e89a90d88a86c692377d18d8bd64b39c1fb2b92cb31370e2896bbd \ + --hash=sha256:e315e5ec90d88e140f57696ff85b484ff68bb311e36f2c414aa4286293e6dee0 \ + --hash=sha256:e4415a8db000bf49a6dd1c478bf70062eaacff0f462b92b0ba68791a905861f9 \ + --hash=sha256:e7a116ae737f0000343218c4edf5bd45893bfeaff0993c0b215d7124c9f77646 \ + --hash=sha256:e7c4c09a490dc4d4a7f8cbee56c606a320f9dc28cf92a7157a39d1ce7676a657 \ + --hash=sha256:ebae99ed6764f2b5771c522477b311be313e8841d2e0376db2b10922daebbba4 \ + --hash=sha256:ec4c85dc4b687c7f7f15f553ff26a98bfe8c58f5f7f0ac8905f0ba4c7be60232 \ + --hash=sha256:ed3a984b31da7481b103f68776f7128a89ef26ed40f4dc41a2223cda7fb24819 \ + --hash=sha256:f18c2d9782259a6dc132fdc7a63c168cbc74b35284b6d75c673958982a378384 \ + --hash=sha256:f1f9f4121ec58628c96baa3de1a55a4e3a333c5102c8e94b64e23bf7b2083309 \ + --hash=sha256:f42c23db5d1521218a3276bb08666dcb662896a0be7347cba864eca45ff64ede \ + --hash=sha256:f443b4825c50a51ee68585522ab4a1d1257fac65896f282b4c6763337ac9f5d2 \ + --hash=sha256:f6764a4ccab3078db14a632420930f6186058750df066b8ea2a7106df91d3203 \ + --hash=sha256:f7c7553b13f69c1b29a5bde08ddc6d9d0c8bfb84f9ed01c30db25944aeb852a7 \ + --hash=sha256:fa6248cd194edff41d7ea9425ced8ca3a6f838bfb295f6f1d6e6bb694a8518df \ + --hash=sha256:fa8eb9ecdb7efb0b226acec134e0d709e87a909fa4971a54c0c4f6e88635484c \ + --hash=sha256:fc20894c3d21194d8041a28b65622d5b86db786da6e3cfe73f0c762951a61167 \ + --hash=sha256:fc4d3f1fb9ca0ae9f97b095963bc6326f1dbfd3779d6679a1e016b9baaa153d3 \ + --hash=sha256:fd40bb9cd0891c4c3cb1ddf83f8bbfa15731a248fdc8162669405451e2724b09 \ + --hash=sha256:ff710414307fefa903e0d9bdf300972f892c23477829f49504e59834f4195398 + # via matplotlib kube-authkit==0.4.0 \ --hash=sha256:1df61ac392fca96c8f5ae8c3d6e9918f1e1655d212434b3c3da5f92cc23b660d \ --hash=sha256:3bf5fc6ddc882498040118c907628ea68789f9a947454c241972008be59601a3 @@ -2330,6 +2654,10 @@ makefun==1.16.0 \ --hash=sha256:43baa4c3e7ae2b17de9ceac20b669e9a67ceeadff31581007cca20a07bbe42c4 \ --hash=sha256:e14601831570bff1f6d7e68828bcd30d2f5856f24bad5de0ccb22921ceebc947 # via great-expectations +mako==1.3.12 \ + --hash=sha256:8f61569480282dbf557145ce441e4ba888be453c30989f879f0d652e39f53ea9 \ + --hash=sha256:9f778e93289bd410bb35daadeb4fc66d95a746f0b75777b942088b7fd7af550a + # via alembic markdown-it-py==4.2.0 \ --hash=sha256:04a21681d6fbb623de53f6f364d352309d4094dd4194040a10fd51833e418d49 \ --hash=sha256:9f7ebbcd14fe59494226453aed97c1070d83f8d24b6fc3a3bcf9a38092641c4a @@ -2429,13 +2757,72 @@ markupsafe==3.0.3 \ --hash=sha256:f9e130248f4462aaa8e2552d547f36ddadbeaa573879158d721bbd33dfe4743a \ --hash=sha256:fed51ac40f757d41b7c48425901843666a6677e3e8eb0abcff09e4ba6e664f50 # via + # flask # jinja2 + # mako # nbconvert # werkzeug marshmallow==3.26.2 \ --hash=sha256:013fa8a3c4c276c24d26d84ce934dc964e2aa794345a0f8c7e5a7191482c8a73 \ --hash=sha256:bbe2adb5a03e6e3571b573f42527c6fe926e17467833660bebd11593ab8dfd57 # via great-expectations +matplotlib==3.10.9 \ + --hash=sha256:09218df8a93712bd6ea133e83a153c755448cf7868316c531cffcc43f69d1cc9 \ + --hash=sha256:10cc5ce06d10231c36f40e875f3c7e8050362a4ee8f0ee5d29a6b3277d57bb42 \ + --hash=sha256:172db52c9e683f5d12eaf57f0f54834190e12581fe1cc2a19595a8f5acb4e77d \ + --hash=sha256:1872fb212a05b729e649754a72d5da61d03e0554d76e80303b6f83d1d2c0552b \ + --hash=sha256:1aa972116abb4c9d201bf245620b433726cb6856f3bef6a78f776a00f5c92d37 \ + --hash=sha256:1e7698ac9868428e84d2c967424803b2472ff7167d9d6590d4204ed775343c3b \ + --hash=sha256:2dc9477819ffd78ad12a20df1d9d6a6bd4fec6aaa9072681465fddca052f1456 \ + --hash=sha256:3225f4e1edcb8c86c884ddf79ebe20ecd0a67d30188f279897554ccd8fded4dc \ + --hash=sha256:336b9acc64d309063126edcdaca00db9373af3c476bb94388fe9c5a53ad13e6f \ + --hash=sha256:345f6f68ecc8da0ca56fad2ea08fde1a115eda530079eca185d50a7bc3e146c6 \ + --hash=sha256:34cf8167e023ad956c15f36302911d5406bd99a9862c1a8499ea6f7c0e015dc2 \ + --hash=sha256:3fc0364dfbe1d07f6d15c5ebd0c5bf89e126916e5a8667dd4a7a6e84c36653d4 \ + --hash=sha256:41cb28c2bd769aa3e98322c6ab09854cbcc52ab69d2759d681bba3e327b2b320 \ + --hash=sha256:42fb814efabe95c06c1994d8ab5a8385f43a249e23badd3ba931d4308e5bca20 \ + --hash=sha256:4e42042d54db34fda4e95a7bd3e5789c2a995d2dad3eb8850232ee534092fbbf \ + --hash=sha256:4edcfbd8565339aa62f1cd4012f7180926fdbe71850f7b0d3c379c175cd6b66c \ + --hash=sha256:51bf0ddbdc598e060d46c16b5590708f81a1624cefbaaf62f6a81bf9285b8c80 \ + --hash=sha256:56fc0bd271b00025c6edfdc7c2dcd247372c8e1544971d62e1dc7c17367e8bf9 \ + --hash=sha256:59476c6d29d612b8e9bb6ce8c5b631be6ba8f9e3a2421f22a02b192c7dd28716 \ + --hash=sha256:6640f75af2c6148293caa0a2b39dd806a492dd66c8a8b04035813e33d0fd2585 \ + --hash=sha256:68cfdcede415f7c8f5577b03303dd94526cdb6d11036cecdc205e08733b2d2bb \ + --hash=sha256:6b63d9c7c769b88ab81e10dc86e4e0607cf56817b9f9e6cf24b2a5f1693b8e38 \ + --hash=sha256:6be157fe17fc37cb95ac1d7374cf717ce9259616edec911a78d9d26dae8522d4 \ + --hash=sha256:6c63ebcd8b4b169eb2f5c200552ae6b8be8999a005b6b507ed76fb8d7d674fe2 \ + --hash=sha256:77210dce9cb8153dffc967efaae990543392563d5a376d4dd8539bebcb0ed217 \ + --hash=sha256:7a8d66a55def891c33147ba3ba9bfcabf0b526a43764c818acbb4525e5ed0838 \ + --hash=sha256:82368699727bfb7b0182e1aa13082e3c08e092fa1a25d3e1fd92405bff96f6d4 \ + --hash=sha256:82834c3c292d24d3a8aae77cd2d20019de69d692a34a970e4fdb8d33e2ea3dda \ + --hash=sha256:8e436d155fa8a3399dc62683f8f5d0e2e50d25d0144a73edd73f82eec8f4abfb \ + --hash=sha256:8f3bcac1ca5ed000a6f4337d47ba67dfddf37ed6a46c15fd7f014997f7bf865f \ + --hash=sha256:97e35e8d39ccc85859095e01a53847432ba9a53ddf7986f7a54a11b73d0e143f \ + --hash=sha256:985f2238880e2e69093f588f5fe2e46771747febf0649f3cf7f7b7480875317f \ + --hash=sha256:a49f1eadc84ca85fd72fa4e89e70e61bf86452df6f971af04b12c60761a0772c \ + --hash=sha256:a5a6104ed666402ba5106d7f36e0e0cdca4e8d7fa4d39708ca88019e2835a2eb \ + --hash=sha256:aba1615dabe83188e19d4f75a253c6a08423e04c1425e64039f800050a69de6b \ + --hash=sha256:ae20801130378b82d647ff5047c07316295b68dc054ca6b3c13519d0ea624285 \ + --hash=sha256:ae2f11957b27ce53497dd4d7b235c4d4f1faf383dfb39d0c5beb833bff883294 \ + --hash=sha256:b049278ddce116aaa1c1377ebf58adea909132dfce0281cf7e3a1ea9fc2e2c65 \ + --hash=sha256:b1b745c489cd1a77a0dc1120a05dc87af9798faebc913601feb8c73d89bf2d1e \ + --hash=sha256:b2b9516251cb89ff618d757daec0e2ed1bf21248013844a853d87ef85ab3081d \ + --hash=sha256:b580440f1ff81a0e34122051a3dfabb7e4b7f9e380629929bde0eff9af72165f \ + --hash=sha256:ba7b3b8ef09eab7df0e86e9ae086faa433efbfbdb46afcb3aa16aabf779469a8 \ + --hash=sha256:c27df8b3848f32a83d1767566595e43cfaa4460380974da06f4279a7ec143c39 \ + --hash=sha256:d091f9d758b34aaaaa6331d13574bf01891d903b3dec59bfff458ef7551de5d6 \ + --hash=sha256:d730e984eddf56974c3e72b6129c7ca462ac38dc624338f4b0b23eb23ecba00f \ + --hash=sha256:d75d11c949914165976c621b2324f9ef162af7ebf4b057ddf95dd1dba7e5edcf \ + --hash=sha256:d843374407c4017a6403b59c6c81606773d136f3259d5b6da3131bc814542cc2 \ + --hash=sha256:da4e09638420548f31c354032a6250e473c68e5a4e96899b4844cf39ddea23fe \ + --hash=sha256:de2445a0c6690d21b7eb6ce071cebad6d40a2e9bdf10d039074a96ba19797b99 \ + --hash=sha256:dfca0129678bd56379db26c52b5d77ed7de314c047492fbdc763aa7501710cfb \ + --hash=sha256:e9fae004b941b23ff2edcf1567a857ed77bafc8086ffa258190462328434faf8 \ + --hash=sha256:f0c3c28d9fbcc1fe7a03be236d73430cf6409c41fb2383a7ac52fe932b072cb1 \ + --hash=sha256:f4399f64b3e94cd500195490972ae1ee81170df1636fa15364d157d5bdd7b921 \ + --hash=sha256:f76e640a5268850bfda54b5131b1b1941cc685e42c5fa98ed9f2d64038308cba \ + --hash=sha256:fd66508e8c6877d98e586654b608a0456db8d7e8a546eb1e2600efd957302358 + # via mlflow matplotlib-inline==0.2.2 \ --hash=sha256:3c821cf1c209f59fb2d2d64abbf5b23b67bcb2210d663f9918dd851c6da1fcf6 \ --hash=sha256:72f3fe8fce36b70d4a5b612f899090cd0401deddc4ea90e1572b9f4bfb058c79 @@ -2468,6 +2855,18 @@ mistune==3.2.1 \ # via # great-expectations # nbconvert +mlflow==3.12.0 \ + --hash=sha256:227ee31c6abf7ae3b3c38d4ca87c356e107578740c1efee89da43f2a5b9e3b47 \ + --hash=sha256:e1c28ed4c48557cc52c766f17f1ca5826753ddf241d43f30f99c45f7ea6b3ce0 + # via feast (pyproject.toml) +mlflow-skinny==3.12.0 \ + --hash=sha256:0498f3697abcabcc6204c432ef179840f6a7a34ce123837c98c1913064fda6dd \ + --hash=sha256:74d27066bc9553d281e0c31d25f07deb39dbe99d190e4f7c257703e5c8ee6d10 + # via mlflow +mlflow-tracing==3.12.0 \ + --hash=sha256:8702a34a1d4f1517ba904d716f5a8fca4675e6526f7d164d02bdaabececa2d80 \ + --hash=sha256:c6072553f47b42505dc7ee62946688a4a0dde8f06b78fbc60e946397b20e1518 + # via mlflow mmh3==5.2.1 \ --hash=sha256:022aa1a528604e6c83d0a7705fdef0b5355d897a9e0fa3a8d26709ceaa06965d \ --hash=sha256:0634581290e6714c068f4aa24020acf7880927d1f0084fa753d9799ae9610082 \ @@ -2938,83 +3337,84 @@ notebook-shim==0.2.4 \ # via # jupyterlab # notebook -numpy==2.4.4 \ - --hash=sha256:07077278157d02f65c43b1b26a3886bce886f95d20aabd11f87932750dfb14ed \ - --hash=sha256:08f2e31ed5e6f04b118e49821397f12767934cfdd12a1ce86a058f91e004ee50 \ - --hash=sha256:0aec54fd785890ecca25a6003fd9a5aed47ad607bbac5cd64f836ad8666f4959 \ - --hash=sha256:0d35aea54ad1d420c812bfa0385c71cd7cc5bcf7c65fed95fc2cd02fe8c79827 \ - --hash=sha256:0d4e437e295f18ec29bc79daf55e8a47a9113df44d66f702f02a293d93a2d6dd \ - --hash=sha256:0dfd3f9d3adbe2920b68b5cd3d51444e13a10792ec7154cd0a2f6e74d4ab3233 \ - --hash=sha256:1378871da56ca8943c2ba674530924bb8ca40cd228358a3b5f302ad60cf875fc \ - --hash=sha256:15716cfef24d3a9762e3acdf87e27f58dc823d1348f765bbea6bef8c639bfa1b \ - --hash=sha256:19710a9ca9992d7174e9c52f643d4272dcd1558c5f7af7f6f8190f633bd651a7 \ - --hash=sha256:23cbfd4c17357c81021f21540da84ee282b9c8fba38a03b7b9d09ba6b951421e \ - --hash=sha256:2483e4584a1cb3092da4470b38866634bafb223cbcd551ee047633fd2584599a \ - --hash=sha256:27a8d92cd10f1382a67d7cf4db7ce18341b66438bdd9f691d7b0e48d104c2a9d \ - --hash=sha256:28a650663f7314afc3e6ec620f44f333c386aad9f6fc472030865dc0ebb26ee3 \ - --hash=sha256:2aa0613a5177c264ff5921051a5719d20095ea586ca88cc802c5c218d1c67d3e \ - --hash=sha256:2c194dd721e54ecad9ad387c1d35e63dce5c4450c6dc7dd5611283dda239aabb \ - --hash=sha256:2d19e6e2095506d1736b7d80595e0f252d76b89f5e715c35e06e937679ea7d7a \ - --hash=sha256:2d390634c5182175533585cc89f3608a4682ccb173cc9bb940b2881c8d6f8fa0 \ - --hash=sha256:30caa73029a225b2d40d9fae193e008e24b2026b7ee1a867b7ee8d96ca1a448e \ - --hash=sha256:42c16925aa5a02362f986765f9ebabf20de75cdefdca827d14315c568dcab113 \ - --hash=sha256:45dbed2ab436a9e826e302fcdcbe9133f9b0006e5af7168afb8963a6520da103 \ - --hash=sha256:4636de7fd195197b7535f231b5de9e4b36d2c440b6e566d2e4e4746e6af0ca93 \ - --hash=sha256:4a19d9dba1a76618dd86b164d608566f393f8ec6ac7c44f0cc879011c45e65af \ - --hash=sha256:4bbc7f303d125971f60ec0aaad5e12c62d0d2c925f0ab1273debd0e4ba37aba5 \ - --hash=sha256:4d6d57903571f86180eb98f8f0c839fa9ebbfb031356d87f1361be91e433f5b7 \ - --hash=sha256:4e874c976154687c1f71715b034739b45c7711bec81db01914770373d125e392 \ - --hash=sha256:51fc224f7ca4d92656d5a5eb315f12eb5fe2c97a66249aa7b5f562528a3be38c \ - --hash=sha256:58c8b5929fcb8287cbd6f0a3fae19c6e03a5c48402ae792962ac465224a629a4 \ - --hash=sha256:5a285b3b96f951841799528cd1f4f01cd70e7e0204b4abebac9463eecfcf2a40 \ - 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--hash=sha256:8ad03c0965fb3c692200e74d458ca28c1dbb4ce96f9a479a8aa041ad5fabca02 \ + --hash=sha256:90f9849678c75fe7afa2d348ac842c168b0a4d3d61919687216dfc547976d853 \ + --hash=sha256:948424b06129ce883307e8cff868c31396d8dc7630a59c61d70d98dbe70f222c \ + --hash=sha256:9cd5ffd25db4e7ba6a375693b3fc0fc1791ec636c17db3720da19bde7180ec43 \ + --hash=sha256:a0df0043bdb289bde1f62da130d20df23d58b45429f752bc7a8fc5325a225ecd \ + --hash=sha256:a2c306dea656c12c68f51f4cea133cbe78ca7435eb28c735eac1d3ebe73be6e8 \ + --hash=sha256:a7830bab239b79cda9c08c2da014761cafb48da6150e1da17ac06283f43b6089 \ + --hash=sha256:a7c711e21628b52034bb5ab8d1bce291f752fcc5e92accc615778acee1ff4778 \ + --hash=sha256:aaf159caa35993cb1f56fb9b8e4610d35758e7ca005412eb1daa856a78c9c4b1 \ + --hash=sha256:ae506e6902902557576a26ff33eda8695e7ecb3cb36c3b573a0765dee114ebdb \ + --hash=sha256:b507f5c4c1d508876d1819b6bf9a49d365b96320b5d4993426b33a23ca4b8261 \ + --hash=sha256:bf162abab1c1a736333192707cef898e735a5ca00f38f27eeedf44b39d9e85eb \ + --hash=sha256:c1a2af6c6ef86344a6b0db6b97834208bf598db514f2b155042439b62605601a \ + --hash=sha256:c2d37ab77531417474168eb79d6d80b14f821a966818505d03013d0833edb7a8 \ + --hash=sha256:c4fc99836233ea196540b17ab0983aff60ed07941751930f5f4d05bc3b3b7359 \ + --hash=sha256:d581b735e177fdcdce6fed8e7e8880a3fb6ee4e3653a3ac6af01c6f4c03effc5 \ + --hash=sha256:d6da64deb6b8ed903e7560180a92f2d804ee1ba5eeb849ac2748b8c1aba1f6d7 \ + --hash=sha256:d8e8286dd7cea7895157318d1b91cdacac64c479f3cbc8dce548331728484751 \ + --hash=sha256:ddea102b48f9e339f3948bf22040944184627a30fdf7f858667673b9c5f033c8 \ + --hash=sha256:dfa20cc6ca228e6b155b11da03825975ce66aea520985dbbddf0f2a5a495c605 \ + --hash=sha256:e3e5193ef5a3dc73bceee50f7fdc2c90dbb76c42df8d8fae3d1067a583df579e \ + --hash=sha256:e3eeb0aabd6bd5ce64faae67e9935203a6991b4bc2a485a767fbafb2c5125f45 \ + --hash=sha256:e5805d5a22fd19c8ccff10a9561f9df94436b0545619ea579db2d3c35294bce2 \ + --hash=sha256:e85b752a1e912b70eaad4fafbd4d1238007ab221de2009b9a2f5ae7461239895 \ + --hash=sha256:eaf7fa2de5c0be8ae6ff8e9bea2ccd725e980541244521d8d4b5f3354a27babe \ + --hash=sha256:ebfb099f8dcf083deef3ac1ca4c1503f387cf76296fcb3816b66f5ecb5f54fdb \ + --hash=sha256:ece3d2cfe132e7d51f44a832b303895e6f2d499c5e74dfbdb06ee246147a304a \ + --hash=sha256:ed9749eef4cbd126da3dc1d6bcb3a57f5eb7ac6a6484146bdbf743f552dfc577 \ + --hash=sha256:ede83e07a75dd06bc501566c1eca2afc0d61677c1472ac9ad93fdee6e638a48d \ + --hash=sha256:ef4aea96ce4d3b074422cb4f2f64e216bf9e213004bb58ecfdf50ea02ea8eb9a \ + --hash=sha256:f3a3570c4a2a16746ac2c31a7c7c7b0c186b95ce902e33db6f28094ed7387dda \ + --hash=sha256:f407cb6b8e9d6d8c626bc73c945db1706035af8fd632295547bf1c9e46d092d6 \ + --hash=sha256:f74a575920ab21fe304421a3fc28793d82e299cae9eccb37084e9fc7f3617c20 # via # feast (pyproject.toml) # accelerate # altair + # contourpy # dask # datasets # db-dtypes @@ -3024,6 +3424,8 @@ numpy==2.4.4 \ # great-expectations # ibis-framework # imageio + # matplotlib + # mlflow # opencv-python-headless # pandas # pandas-gbq @@ -3035,6 +3437,7 @@ numpy==2.4.4 \ # scipy # sentence-transformers # shapely + # skops # tifffile # torchvision # transformers @@ -3075,6 +3478,8 @@ opentelemetry-api==1.41.1 \ --hash=sha256:0ad1814d73b875f84494387dae86ce0b12c68556331ce6ce8fe789197c949621 \ --hash=sha256:a22df900e75c76dc08440710e51f52f1aa6b451b429298896023e60db5b3139f # via + # mlflow-skinny + # mlflow-tracing # opentelemetry-exporter-prometheus # opentelemetry-sdk # opentelemetry-semantic-conventions @@ -3085,11 +3490,16 @@ opentelemetry-exporter-prometheus==0.62b1 \ opentelemetry-proto==1.27.0 \ --hash=sha256:33c9345d91dafd8a74fc3d7576c5a38f18b7fdf8d02983ac67485386132aedd6 \ --hash=sha256:b133873de5581a50063e1e4b29cdcf0c5e253a8c2d8dc1229add20a4c3830ace - # via ray + # via + # mlflow-skinny + # mlflow-tracing + # ray opentelemetry-sdk==1.41.1 \ --hash=sha256:724b615e1215b5aeacda0abb8a6a8922c9a1853068948bd0bd225a56d0c792e6 \ --hash=sha256:edee379c126c1bce952b0c812b48fe8ff35b30df0eecf17e98afa4d598b7d85d # via + # mlflow-skinny + # mlflow-tracing # opentelemetry-exporter-prometheus # ray opentelemetry-semantic-conventions==0.62b1 \ @@ -3228,6 +3638,9 @@ packaging==26.2 \ # jupyterlab-server # lazy-loader # marshmallow + # matplotlib + # mlflow-skinny + # mlflow-tracing # nbconvert # openlineage-python # pandas-gbq @@ -3235,6 +3648,7 @@ packaging==26.2 \ # ray # safetensors # scikit-image + # skops # snowflake-connector-python # sphinx # transformers @@ -3306,6 +3720,7 @@ pandas==2.3.3 \ # google-cloud-bigquery # great-expectations # ibis-framework + # mlflow # pandas-gbq # pymilvus # ray @@ -3461,6 +3876,7 @@ pillow==11.3.0 \ # docling-parse # easyocr # imageio + # matplotlib # python-pptx # scikit-image # torchvision @@ -3498,6 +3914,10 @@ pre-commit==3.3.1 \ --hash=sha256:218e9e3f7f7f3271ebc355a15598a4d3893ad9fc7b57fe446db75644543323b9 \ --hash=sha256:733f78c9a056cdd169baa6cd4272d51ecfda95346ef8a89bf93712706021b907 # via feast (pyproject.toml) +prettytable==3.17.0 \ + --hash=sha256:59f2590776527f3c9e8cf9fe7b66dd215837cca96a9c39567414cbc632e8ddb0 \ + --hash=sha256:aad69b294ddbe3e1f95ef8886a060ed1666a0b83018bbf56295f6f226c43d287 + # via skops prometheus-client==0.24.1 \ --hash=sha256:150db128af71a5c2482b36e588fc8a6b95e498750da4b17065947c16070f4055 \ --hash=sha256:7e0ced7fbbd40f7b84962d5d2ab6f17ef88a72504dcf7c0b40737b43b2a461f9 @@ -3657,6 +4077,7 @@ protobuf==4.25.9 \ --hash=sha256:d49b615e7c935194ac161f0965699ac84df6112c378e05ec53da65d2e4cbb6d4 # via # feast (pyproject.toml) + # databricks-sdk # google-api-core # google-cloud-bigquery-storage # google-cloud-bigtable @@ -3668,6 +4089,8 @@ protobuf==4.25.9 \ # grpcio-status # grpcio-testing # grpcio-tools + # mlflow-skinny + # mlflow-tracing # mypy-protobuf # opentelemetry-proto # proto-plus @@ -3818,57 +4241,57 @@ py4j==0.10.9.9 \ --hash=sha256:c7c26e4158defb37b0bb124933163641a2ff6e3a3913f7811b0ddbe07ed61533 \ --hash=sha256:f694cad19efa5bd1dee4f3e5270eb406613c974394035e5bfc4ec1aba870b879 # via pyspark -pyarrow==24.0.0 \ - --hash=sha256:02b001b3ed4723caa44f6cd1af2d5c86aa2cf9971dacc2ffa55b21237713dfba \ - --hash=sha256:04920d6a71aabd08a0417709efce97d45ea8e6fb733d9ca9ecffb13c67839f68 \ - --hash=sha256:0b3537c00fb8d384f15ac1e79b6eb6db04a16514c8c1d22e59a9b95c8ba42868 \ - --hash=sha256:1183baeb14c5f587b1ec52831e665718ce632caab84b7cd6b85fd44f96114495 \ - --hash=sha256:14e31a3c9e35f1ab6356c6378f6f72830e6d2d5f1791df3774a7b097d18a6a1e \ - --hash=sha256:1617043b99bd33e5318ae18eb2919af09c71322ef1ca46566cdafc6e6712fb66 \ - --hash=sha256:1a4e45017efbf115032e4475ee876d525e0e36c742214fbe405332480ecd6275 \ - --hash=sha256:1b2fe7f9a5566401a0ef2571f197eb92358925c1f0c8dba305d6e43ea0871bb3 \ - --hash=sha256:1cc9057f0319e26333b357e17f3c2c022f1a83739b48a88b25bfd5fa2dc18838 \ - --hash=sha256:2392d954fcb920f42d230284b677605e4e2fbb11f2821e823e642abd67fbb491 \ - --hash=sha256:25ea65d868eb04015cd18e6df2fbe98f07e5bda2abefabcb88fce39a947716f6 \ - --hash=sha256:295f0a7f2e242dabd513737cf076007dc5b2d59237e3eca37b05c0c6446f3826 \ - --hash=sha256:2f16197705a230a78270cdd4ea8a1d57e86b2fdcbc34a1f6aebc72e65c986f9a \ - --hash=sha256:35405aecb474e683fb36af650618fd5340ee5471fc65a21b36076a18bbc6c981 \ - --hash=sha256:38be1808cdd068605b787e6ca9119b27eb275a0234e50212c3492331680c3b1e \ - --hash=sha256:3a577bd840ca83f646f0a625dbc571dba7044c43c2d1503afc378b570954345c \ - --hash=sha256:3b13dedfe76a0ad2d1d859b0811b53827a4e9d93a0bcb05cf59333ab4980cc7e \ - --hash=sha256:418e48ce50a45a6a6c73c454677203a9c75c966cb1e92ca3370959185f197a05 \ - --hash=sha256:55a3bc1e3df3b5567b7d27ef551b2283f0c68a5e86f1cd56abc569da4f31335b \ - --hash=sha256:6165461f55ef6314f026de6638d661188e3455d3ec49834556a0ebbdbace18bb \ - --hash=sha256:61a3d7eaa97a14768b542f3d284dc6400dd2470d9f080708b13cd46b6ae18136 \ - --hash=sha256:6233c9ed9ab9d1db47de57d9753256d9dcffbf42db341576099f0fd9f6bf4810 \ - --hash=sha256:641f795b361874ac9da5294f8f443dfdbee355cf2bd9e3b8d97aaac2306b9b37 \ - --hash=sha256:644a246325b8c69c595ad1dd4b463eba4b0cdb731370e4a86137d433208d6147 \ - --hash=sha256:6f066b179d68c413374294bc1735f68475457c933258df594443bb9d88ddc2a0 \ - --hash=sha256:7986f1fa71cee060ad00758bcc79d3a93bab8559bf978fab9e53472a2e25a17b \ - --hash=sha256:7c2b98645d576a0b9616892ead22b64a83a5f043c5e2ca15ebcefcb5b70c80cb \ - --hash=sha256:806f24b4085453c197a5078218d1ee08783ebbba271badd153d1ae22a3ee804f \ - --hash=sha256:85fe721a14dd823aca09127acbb06c3ca723efbd436c004f16bca601b04dcc83 \ - --hash=sha256:8adc8e6ce5fccf5dc707046ae4914fd537def529709cc0d285d37a7f9cd442ca \ - --hash=sha256:9700ebd9a51f5895ce75ff4ac4b3c47a7d4b42bc618be8e713e5d56bacf5f931 \ - --hash=sha256:9b18371ad2f44044b81a8d23bc2d8a9b6a6226dca775e8e16cfee640473d6c5d \ - --hash=sha256:a964266397740257f16f7bb2e4f08a0c81454004beab8ff59dd531b73610e9f2 \ - --hash=sha256:adbbedc55506cbdabb830890444fb856bfb0060c46c6f8026c6c2f2cf86ae795 \ - --hash=sha256:ae8a1145af31d903fa9bb166824d7abe9b4681a000b0159c9fb99c11bc11ad26 \ - --hash=sha256:b0e131f880cda8d04e076cee175a46fc0e8bc8b65c99c6c09dff6669335fde74 \ - --hash=sha256:b196eb3f931862af3fa84c2a253514d859c08e0d8fe020e07be12e75a5a9780c \ - --hash=sha256:b7d9a514e73bc42711e6a35aaccf3587c520024fe0a25d830a1a8a27c15f4f57 \ - --hash=sha256:bec9373df11544592b0ba7ec2af0e35059e5f0e7647c6183a854dedd193298f1 \ - --hash=sha256:c42ab9439498270139cc63e18847a02afe5c8b3ed9c931266533cfe378bd3591 \ - --hash=sha256:c91d00057f23b8d353039520dc3a6c09d8608164c692e9f59a175a42b2ae0c19 \ - --hash=sha256:d3e0b61e8efb24ed38898e5cdc5fffa9124be480008d401a1f8071500494ae42 \ - --hash=sha256:d7027eba1df3b2069e2e8d80f644fa0918b68c46432af3d088ddd390d063ecde \ - --hash=sha256:d8ddd2768da81d3ee08cfea9b597f4abb4e8e1dc8ae7e204b608d23a0d3ab699 \ - --hash=sha256:e3268e43984d0b1a185c89b4cfff282a7ead12fc93f56cfd7088bdbcbe727041 \ - --hash=sha256:e4505fc6583f7b05ab854934896bcac8253b04ac1171a77dfb73efef92076d91 \ - --hash=sha256:e56a1ffe9bf7b727432b89104cc0849c21582949dd7bdcb34f17b2001a351a76 \ - --hash=sha256:e6f1278ee4785b6db21229374a1c9e54ec7c549de5d1efc9630b6207de7e170b \ - --hash=sha256:f7616236ec1bc2b15bfdec22a71ab38851c86f8f05ff64f379e1278cf20c634a \ - --hash=sha256:fb24ac194bfc5e86839d7dcd52092ee31e5fe6733fe11f5e3b06ef0812b20072 +pyarrow==23.0.1 \ + --hash=sha256:00be9576d970c31defb5c32eb72ef585bf600ef6d0a82d5eccaae96639cf9d07 \ + --hash=sha256:07deae7783782ac7250989a7b2ecde9b3c343a643f82e8a4df03d93b633006f0 \ + --hash=sha256:0ae6e17c828455b6265d590100c295193f93cc5675eb0af59e49dbd00d2de350 \ + --hash=sha256:0b95a3994f015be13c63148fef8832e8a23938128c185ee951c98908a696e0eb \ + --hash=sha256:17cd28e906c18af486a499422740298c52d7c6795344ea5002a7720b4eadf16d \ + --hash=sha256:26d50dee49d741ac0e82185033488d28d35be4d763ae6f321f97d1140eb7a0e9 \ + --hash=sha256:29f7f7419a0e30264ea261fdc0e5fe63ce5a6095003db2945d7cd78df391a7e1 \ + --hash=sha256:33d648dc25b51fd8055c19e4261e813dfc4d2427f068bcecc8b53d01b81b0500 \ + --hash=sha256:3a4c85ef66c134161987c17b147d6bffdca4566f9a4c1d81a0a01cdf08414ea5 \ + --hash=sha256:3c30143b17161310f151f4a2bcfe41b5ff744238c1039338779424e38579d701 \ + --hash=sha256:3f91c038b95f71ddfc865f11d5876c42f343b4495535bd262c7b321b0b94507c \ + --hash=sha256:3fab8f82571844eb3c460f90a75583801d14ca0cc32b1acc8c361650e006fd56 \ + --hash=sha256:46718a220d64677c93bc243af1d44b55998255427588e400677d7192671845c7 \ + --hash=sha256:4982d71350b1a6e5cfe1af742c53dfb759b11ce14141870d05d9e540d13bc5d1 \ + --hash=sha256:527e8d899f14bd15b740cd5a54ad56b7f98044955373a17179d5956ddb93d9ce \ + --hash=sha256:564baf97c858ecc03ec01a41062e8f4698abc3e6e2acd79c01c2e97880a19730 \ + --hash=sha256:5abde149bb3ce524782d838eb67ac095cd3fd6090eba051130589793f1a7f76d \ + --hash=sha256:5c16ed4f53247fa3ffb12a14d236de4213a4415d127fe9cebed33d51671113e2 \ + --hash=sha256:5df1161da23636a70838099d4aaa65142777185cc0cdba4037a18cee7d8db9ca \ + --hash=sha256:5f4763b83c11c16e5f4c15601ba6dfa849e20723b46aa2617cb4bffe8768479f \ + --hash=sha256:6b8fda694640b00e8af3c824f99f789e836720aa8c9379fb435d4c4953a756b8 \ + --hash=sha256:6f0147ee9e0386f519c952cc670eb4a8b05caa594eeffe01af0e25f699e4e9bb \ + --hash=sha256:7044b442f184d84e2351e5084600f0d7343d6117aabcbc1ac78eb1ae11eb4125 \ + --hash=sha256:71c5be5cbf1e1cb6169d2a0980850bccb558ddc9b747b6206435313c47c37677 \ + --hash=sha256:76e823d0e86b4fb5e1cf4a58d293036e678b5a4b03539be933d3b31f9406859f \ + --hash=sha256:7707d2b6673f7de054e2e83d59f9e805939038eebe1763fe811ee8fa5c0cd1a7 \ + --hash=sha256:813d99f31275919c383aab17f0f455a04f5a429c261cc411b1e9a8f5e4aaaa05 \ + --hash=sha256:86ff03fb9f1a320266e0de855dee4b17da6794c595d207f89bba40d16b5c78b9 \ + --hash=sha256:8ff51b1addc469b9444b7c6f3548e19dc931b172ab234e995a60aea9f6e6025f \ + --hash=sha256:9b6f4f17b43bc39d56fec96e53fe89d94bac3eb134137964371b45352d40d0c2 \ + --hash=sha256:9fc13fc6c403d1337acab46a2c4346ca6c9dec5780c3c697cf8abfd5e19b6b37 \ + --hash=sha256:a09f3876e87f48bc2f13583ab551f0379e5dfb83210391e68ace404181a20690 \ + --hash=sha256:a35581e856a2fafa12f3f54fce4331862b1cfb0bef5758347a858a4aa9d6bae8 \ + --hash=sha256:a62e1899e3078bf65943078b3ad2a6ddcacf2373bc06379aac61b1e548a75814 \ + --hash=sha256:b8c5873e33440b2bc2f4a79d2b47017a89c5a24116c055625e6f2ee50523f019 \ + --hash=sha256:bf5842f960cddd2ef757d486041d57c96483efc295a8c4a0e20e704cbbf39c67 \ + --hash=sha256:c2139549494445609f35a5cda4eb94e2c9e4d704ce60a095b342f82460c73a83 \ + --hash=sha256:c250248f1fe266db627921c89b47b7c06fee0489ad95b04d50353537d74d6886 \ + --hash=sha256:c33b5bf406284fd0bba436ed6f6c3ebe8e311722b441d89397c54f871c6863a2 \ + --hash=sha256:cd395abf8f91c673dd3589cadc8cc1ee4e8674fa61b2e923c8dd215d9c7d1f41 \ + --hash=sha256:cecfb12ef629cf6be0b1887f9f86463b0dd3dc3195ae6224e74006be4736035a \ + --hash=sha256:d0744403adabef53c985a7f8a082b502a368510c40d184df349a0a8754533258 \ + --hash=sha256:db2190fa79c80a23fdd29fef4b8992893f024ae7c17d2f5f4db7171fa30c2c78 \ + --hash=sha256:ddf743e82f69dcd6dbbcb63628895d7161e04e56794ef80550ac6f3315eeb1d5 \ + --hash=sha256:df088e8f640c9fae3b1f495b3c64755c4e719091caf250f3a74d095ddf3c836d \ + --hash=sha256:e052a211c5ac9848ae15d5ec875ed0943c0221e2fcfe69eee80b604b4e703222 \ + --hash=sha256:f00f993a8179e0e1c9713bcc0baf6d6c01326a406a9c23495ec1ba9c9ebf2919 \ + --hash=sha256:f4b0dbfa124c0bb161f8b5ebb40f1a680b70279aa0c9901d44a2b5a20806039f \ + --hash=sha256:fa8e51cb04b9f8c9c5ace6bab63af9a1f88d35c0d6cbf53e8c17c098552285e1 \ + --hash=sha256:fed7020203e9ef273360b9e45be52a2a47d3103caf156a30ace5247ffb51bdbd # via # feast (pyproject.toml) # dask @@ -3877,6 +4300,7 @@ pyarrow==24.0.0 \ # deltalake # google-cloud-bigquery # ibis-framework + # mlflow # pandas-gbq # ray # snowflake-connector-python @@ -3996,6 +4420,8 @@ pydantic==2.13.4 \ # fastapi-mcp # great-expectations # mcp + # mlflow-skinny + # mlflow-tracing # pydantic-settings # qdrant-client # ray @@ -4400,7 +4826,9 @@ pyopenssl==26.2.0 \ pyparsing==3.3.2 \ --hash=sha256:850ba148bd908d7e2411587e247a1e4f0327839c40e2e5e6d05a007ecc69911d \ --hash=sha256:c777f4d763f140633dcb6d8a3eda953bf7a214dc4eff598413c070bcdc117cbc - # via great-expectations + # via + # great-expectations + # matplotlib pypdfium2==4.30.0 \ --hash=sha256:0dfa61421b5eb68e1188b0b2231e7ba35735aef2d867d86e48ee6cab6975195e \ --hash=sha256:119b2969a6d6b1e8d55e99caaf05290294f2d0fe49c12a3f17102d01c441bd29 \ @@ -4627,10 +5055,12 @@ python-dateutil==2.9.0 \ # botocore # elasticsearch # google-cloud-bigquery + # graphene # great-expectations # ibis-framework # jupyter-client # kubernetes + # matplotlib # moto # openlineage-python # pandas @@ -4643,6 +5073,7 @@ python-dotenv==1.2.2 \ --hash=sha256:1d8214789a24de455a8b8bd8ae6fe3c6b69a5e3d64aa8a8e5d68e694bbcb285a \ --hash=sha256:2c371a91fbd7ba082c2c1dc1f8bf89ca22564a087c2c287cd9b662adde799cf3 # via + # mlflow-skinny # pydantic-settings # pymilvus # testcontainers @@ -4655,9 +5086,9 @@ python-keycloak==4.2.2 \ --hash=sha256:1d43a1accd4a038ed39317fcb3eb78211df6c75bbcbc4c482c99ee76327136f2 \ --hash=sha256:5137fd87c69031a372a578df96bae96b9aead2c9dad976613bc978e9e0246a1e # via feast (pyproject.toml) -python-multipart==0.0.28 \ - --hash=sha256:10faac07eb966c3f48dc415f9dee46c04cb10d58d30a35677db8027c825ed9b6 \ - --hash=sha256:8550da197eac0f7ab748961fc9509b999fa2662ea25cef857f05249f6893c0f8 +python-multipart==0.0.29 \ + --hash=sha256:2ddcc971cef266225f54f552d8fa10bcfbb1f14446caec199060daac59ff2d69 \ + --hash=sha256:643e93849196645e2dbdd81a0f8829a23123ad7f797a84a364c6fb3563f18904 # via mcp python-pptx==1.0.2 \ --hash=sha256:160838e0b8565a8b1f67947675886e9fea18aa5e795db7ae531606d68e785cba \ @@ -4755,6 +5186,7 @@ pyyaml==6.0.3 \ # huggingface-hub # jupyter-events # kubernetes + # mlflow-skinny # openlineage-python # openshift-client # pre-commit @@ -5017,6 +5449,7 @@ requests==2.34.2 \ # via # feast (pyproject.toml) # azure-core + # databricks-sdk # datasets # docker # docling @@ -5029,6 +5462,7 @@ requests==2.34.2 \ # jupyterlab-server # kube-authkit # kubernetes + # mlflow-skinny # moto # msal # openlineage-python @@ -5360,7 +5794,9 @@ scikit-learn==1.8.0 \ --hash=sha256:fe1c011a640a9f0791146011dfd3c7d9669785f9fed2b2a5f9e207536cf5c2fd # via # feast (pyproject.toml) + # mlflow # sentence-transformers + # skops scipy==1.17.1 \ --hash=sha256:010f4333c96c9bb1a4516269e33cb5917b08ef2166d5556ca2fd9f082a9e6ea0 \ --hash=sha256:02ae3b274fde71c5e92ac4d54bc06c42d80e399fec704383dcd99b301df37458 \ @@ -5427,9 +5863,11 @@ scipy==1.17.1 \ # docling # easyocr # great-expectations + # mlflow # scikit-image # scikit-learn # sentence-transformers + # skops semchunk==3.2.5 \ --hash=sha256:ee15e9a06a69a411937dd8fcf0a25d7ef389c5195863140436872a02c95b0218 \ --hash=sha256:fd09cc5f380bd010b8ca773bd81893f7eaf11d37dd8362a83d46cedaf5dae076 @@ -5540,10 +5978,18 @@ six==1.17.0 \ # python-dateutil # rfc3339-validator # thriftpy2 +skops==0.14.0 \ + --hash=sha256:60a5db78a9db46ccee2139a0ba13ab5afb1c96f4749b382e75a371291bbe3e36 \ + --hash=sha256:6c8c0e047f691a3a582c3258943eecafcbfd79c8c7eef66260f3703e363254f0 + # via mlflow smart-open==7.6.1 \ --hash=sha256:4347996e7ba21db7cd1e059632e0b30395407e4f6c660d2ddffc8f2a9ae5f990 \ --hash=sha256:b4de6aebef023aca91cc9fb372052e1343ba3f152de215bd22391a663e3ddd21 # via ray +smmap==5.0.3 \ + --hash=sha256:4d9debb8b99007ae47165abc08670bd74cb74b5227dda7f643eccc4e9eb5642c \ + --hash=sha256:c106e05d5a61449cf6ba9a1e650227ecfb141590d2a98412103ff35d89fc7b2f + # via gitdb sniffio==1.3.1 \ --hash=sha256:2f6da418d1f1e0fddd844478f41680e794e6051915791a034ff65e5f100525a2 \ --hash=sha256:f4324edc670a0f49750a81b895f35c3adb843cca46f0530f79fc1babb23789dc @@ -5682,7 +6128,10 @@ sqlalchemy[mypy]==2.0.49 \ --hash=sha256:e06e617e3d4fd9e51d385dfe45b077a41e9d1b033a7702551e3278ac597dc750 \ --hash=sha256:ec44cfa7ef1a728e88ad41674de50f6db8cfdb3e2af84af86e0041aaf02d43d0 \ --hash=sha256:fb37f15714ec2652d574f021d479e78cd4eb9d04396dca36568fdfffb3487982 - # via feast (pyproject.toml) + # via + # feast (pyproject.toml) + # alembic + # mlflow sqlglot[rs]==30.8.0 \ --hash=sha256:1c5f93fb742dd9aaa75eee6bb33a637794a858b9a86375fac23a2dc0f7bc127e \ --hash=sha256:af903378c331d5b72277a1b41118f07bc3e50cf4478e2d47eed12c96ee6a22a4 @@ -5727,6 +6176,10 @@ sqlparams==6.2.0 \ --hash=sha256:3744a2ad16f71293db6505b21fd5229b4757489a9b09f3553656a1ae97ba7ca5 \ --hash=sha256:63b32ed9051bdc52e7e8b38bc4f78aed51796cdd9135e730f4c6a7db1048dedf # via singlestoredb +sqlparse==0.5.5 \ + --hash=sha256:12a08b3bf3eec877c519589833aed092e2444e68240a3577e8e26148acc7b1ba \ + --hash=sha256:e20d4a9b0b8585fdf63b10d30066c7c94c5d7a7ec47c889a2d83a3caa93ff28e + # via mlflow-skinny sse-starlette==3.4.4 \ --hash=sha256:07e0fa0460138baf25cdd5fb28683472c3995dc1642225191b3832d62526bcb0 \ --hash=sha256:3f4dd50d8aed2771a091f3a83000323fc3844541c16b4fe585ae2420cc6df973 @@ -5735,12 +6188,13 @@ stack-data==0.6.3 \ --hash=sha256:836a778de4fec4dcd1dcd89ed8abff8a221f58308462e1c4aa2a3cf30148f0b9 \ --hash=sha256:d5558e0c25a4cb0853cddad3d77da9891a08cb85dd9f9f91b9f8cd66e511e695 # via ipython -starlette==1.0.0 \ - --hash=sha256:6a4beaf1f81bb472fd19ea9b918b50dc3a77a6f2e190a12954b25e6ed5eea149 \ - --hash=sha256:d3ec55e0bb321692d275455ddfd3df75fff145d009685eb40dc91fc66b03d38b +starlette==0.52.1 \ + --hash=sha256:0029d43eb3d273bc4f83a08720b4912ea4b071087a3b48db01b7c839f7954d74 \ + --hash=sha256:834edd1b0a23167694292e94f597773bc3f89f362be6effee198165a35d62933 # via # fastapi # mcp + # mlflow-skinny # sse-starlette sympy==1.14.0 \ --hash=sha256:d3d3fe8df1e5a0b42f0e7bdf50541697dbe7d23746e894990c030e2b05e72517 \ @@ -5838,9 +6292,9 @@ thriftpy2==0.6.0 \ --hash=sha256:f6b86112cca7bd04151ce248d781763ea5f74cc18d148476c6d16cee32db81ac \ --hash=sha256:f837ab85ae93b118766b8b28a1cec47a1daddee303e1f986a595c56379062a5c # via happybase -tifffile==2026.5.2 \ - --hash=sha256:21b10227ede8493814a34676774797f721f487e36cb0530e7c3bd882caa87f5a \ - --hash=sha256:5129b53b826e768a5b1af26b765eeea75c2d0a227d2d12849617e0737588e105 +tifffile==2026.5.15 \ + --hash=sha256:6715515a53cabc0cefc5c9f13a0ae2c250e63e2ca784ce02d0b6c333810c2a17 \ + --hash=sha256:ee4f3e07ee0d8ff4745a8c735ac2b72caa3173c7d6059b00fdc3ff492a0b635b # via scikit-image timm==1.0.27 \ --hash=sha256:315dfe63186ca9fb7ff941268941231fd5be259f2b4bb4afa28560ae1015cb9a \ @@ -6166,9 +6620,9 @@ typer==0.12.5 \ # docling # docling-core # fastapi-mcp -types-cffi==2.0.0.20260508 \ - --hash=sha256:746b081b4bf84f9d8855c517a67c2dff717f3c18657fcff8e9c251fb5778f311 \ - --hash=sha256:d094065daf4edcfbdd3e11c37d2fa9511eaf7c509da7a9d9573c276398a8e745 +types-cffi==2.0.0.20260518 \ + --hash=sha256:5b68a215a95d0eac4203b58e766ff7fe40c2e091b1fa1a9e54111f04cc560084 \ + --hash=sha256:f9707e66c13454789a58f8843d1ded4a66f1e9c8b10bd24d5eb5e0f25c0c5472 # via types-pyopenssl types-protobuf==3.19.22 \ --hash=sha256:d291388678af91bb045fafa864f142dc4ac22f5d4cdca097c7d8d8a32fa9b3ab \ @@ -6176,25 +6630,25 @@ types-protobuf==3.19.22 \ # via # feast (pyproject.toml) # mypy-protobuf -types-pymysql==1.1.0.20260508 \ - --hash=sha256:49abf0c2f8d944384834544a8f25ea1b25018c3d815f7ec676f73d0b7fe0731c \ - --hash=sha256:a726e6f867e0a1027a297c89d7646e4d52b7db6ccd11b2a40780120257610c78 +types-pymysql==1.1.0.20260518 \ + --hash=sha256:39a2448c4267dc4551e0824d2bfaecf7dfd171e89e6dbba90f4d4d45d55e4342 \ + --hash=sha256:cf697ce4e44124fc859e8e8a7f047c1dc864745c3c628b85a51b3ee01502ef98 # via feast (pyproject.toml) types-pyopenssl==24.1.0.20240722 \ --hash=sha256:47913b4678a01d879f503a12044468221ed8576263c1540dcb0484ca21b08c39 \ --hash=sha256:6a7a5d2ec042537934cfb4c9d4deb0e16c4c6250b09358df1f083682fe6fda54 # via types-redis -types-python-dateutil==2.9.0.20260508 \ - --hash=sha256:596a6d63d81f587bf04c8254fb78df9d2344e915ce67948d7400512e3a6206d5 \ - --hash=sha256:bfc6fd2d81aa86e5ac97206a64304f6bd247426eedbca9b98619bbc48c6a1c10 +types-python-dateutil==2.9.0.20260518 \ + --hash=sha256:51f02dc03b61c7f6a07df45797d4dfe8a1aa47f0b7db9ad89f6fd3a1a70e1b51 \ + --hash=sha256:d6a9c5bd0de61460c8fdef8ab2b400f956a1a1075cce08d4e2b4434e478c50b8 # via feast (pyproject.toml) -types-pytz==2026.2.0.20260506 \ - --hash=sha256:58ab5307c20885f9bcd42ff106616eb0e32710791f8cbdc770aee2ea0c4f01fb \ - --hash=sha256:fc6a0de6a1b7da82a748fb4065e152372dac3016559cb1eef5e8af1e338eb627 +types-pytz==2026.2.0.20260518 \ + --hash=sha256:3a12eaa38f476bd650902a9c9bb442f03f3c7dee2be5c5848bce61bd708d205a \ + --hash=sha256:e5d254329e9c4e91f0781b22c43a4bb2d10bb044d97b24c4b05d45567b0eae16 # via feast (pyproject.toml) -types-pyyaml==6.0.12.20260510 \ - --hash=sha256:09c1f1cb65a6eebea1e2e51ccf4918b8288e152909609a35cdb0d805efd125ad \ - --hash=sha256:3492eb9ba4d9d833473214c4d5736cccf5f37d93f5854059721e1c84f785309d +types-pyyaml==6.0.12.20260518 \ + --hash=sha256:d2150f75a231c9fe9c7463bd29487d93e60bac90400287351384bc2284eba7cd \ + --hash=sha256:d917f83fb38462550338c1297faedd860b3ec83912b96b1e3d73255f7473e466 # via feast (pyproject.toml) types-redis==4.6.0.20241004 \ --hash=sha256:5f17d2b3f9091ab75384153bfa276619ffa1cf6a38da60e10d5e6749cc5b902e \ @@ -6204,9 +6658,9 @@ types-requests==2.30.0.0 \ --hash=sha256:c6cf08e120ca9f0dc4fa4e32c3f953c3fba222bcc1db6b97695bce8da1ba9864 \ --hash=sha256:dec781054324a70ba64430ae9e62e7e9c8e4618c185a5cb3f87a6738251b5a31 # via feast (pyproject.toml) -types-setuptools==82.0.0.20260508 \ - --hash=sha256:ba1d863bbd11526d7232bca8d5a4aebe1d38fa1677a550f47a2692b7d5776900 \ - --hash=sha256:e76ade6f42ba9b4211636b84b65a8e55948a67ffe81f9a44e66b8af93d57e77e +types-setuptools==82.0.0.20260518 \ + --hash=sha256:31c04a62b57a653a5021caf191be0f10f70df890f813b51f02bab3969d300f20 \ + --hash=sha256:3b743cfe63d0981ea4c15b90710fc1ed41e3464a537d51e705be514e891c1d07 # via # feast (pyproject.toml) # types-cffi @@ -6223,6 +6677,7 @@ typing-extensions==4.15.0 \ --hash=sha256:f0fa19c6845758ab08074a0cfa8b7aecb71c999ca73d62883bc25cc018c4e548 # via # aiosignal + # alembic # anyio # azure-core # azure-identity @@ -6231,12 +6686,14 @@ typing-extensions==4.15.0 \ # docling-core # elasticsearch # fastapi + # graphene # great-expectations # huggingface-hub # ibis-framework # jwcrypto # mcp # minio + # mlflow-skinny # mypy # opentelemetry-api # opentelemetry-sdk @@ -6386,6 +6843,7 @@ uvicorn[standard]==0.34.0 \ # feast (pyproject.toml) # fastapi-mcp # mcp + # mlflow-skinny # uvicorn-worker uvicorn-worker==0.3.0 \ --hash=sha256:6baeab7b2162ea6b9612cbe149aa670a76090ad65a267ce8e27316ed13c7de7b \ @@ -6449,121 +6907,121 @@ virtualenv==20.23.0 \ # feast (pyproject.toml) # pre-commit # ray -watchfiles==1.1.1 \ - --hash=sha256:00485f441d183717038ed2e887a7c868154f216877653121068107b227a2f64c \ - --hash=sha256:03fa0f5237118a0c5e496185cafa92878568b652a2e9a9382a5151b1a0380a43 \ - --hash=sha256:04e78dd0b6352db95507fd8cb46f39d185cf8c74e4cf1e4fbad1d3df96faf510 \ - --hash=sha256:059098c3a429f62fc98e8ec62b982230ef2c8df68c79e826e37b895bc359a9c0 \ - --hash=sha256:08af70fd77eee58549cd69c25055dc344f918d992ff626068242259f98d598a2 \ - --hash=sha256:0b495de0bb386df6a12b18335a0285dda90260f51bdb505503c02bcd1ce27a8b \ - --hash=sha256:130e4876309e8686a5e37dba7d5e9bc77e6ed908266996ca26572437a5271e18 \ - --hash=sha256:14e0b1fe858430fc0251737ef3824c54027bedb8c37c38114488b8e131cf8219 \ - --hash=sha256:17ef139237dfced9da49fb7f2232c86ca9421f666d78c264c7ffca6601d154c3 \ - --hash=sha256:1a0bb430adb19ef49389e1ad368450193a90038b5b752f4ac089ec6942c4dff4 \ - --hash=sha256:1db5d7ae38ff20153d542460752ff397fcf5c96090c1230803713cf3147a6803 \ - --hash=sha256:28475ddbde92df1874b6c5c8aaeb24ad5be47a11f87cde5a28ef3835932e3e94 \ - --hash=sha256:2edc3553362b1c38d9f06242416a5d8e9fe235c204a4072e988ce2e5bb1f69f6 \ - --hash=sha256:30f7da3fb3f2844259cba4720c3fc7138eb0f7b659c38f3bfa65084c7fc7abce \ - --hash=sha256:311ff15a0bae3714ffb603e6ba6dbfba4065ab60865d15a6ec544133bdb21099 \ - --hash=sha256:319b27255aacd9923b8a276bb14d21a5f7ff82564c744235fc5eae58d95422ae \ - --hash=sha256:35c53bd62a0b885bf653ebf6b700d1bf05debb78ad9292cf2a942b23513dc4c4 \ - --hash=sha256:36193ed342f5b9842edd3532729a2ad55c4160ffcfa3700e0d54be496b70dd43 \ - --hash=sha256:39574d6370c4579d7f5d0ad940ce5b20db0e4117444e39b6d8f99db5676c52fd \ - --hash=sha256:399600947b170270e80134ac854e21b3ccdefa11a9529a3decc1327088180f10 \ - --hash=sha256:3a476189be23c3686bc2f4321dd501cb329c0a0469e77b7b534ee10129ae6374 \ - --hash=sha256:3ad9fe1dae4ab4212d8c91e80b832425e24f421703b5a42ef2e4a1e215aff051 \ - --hash=sha256:3bc570d6c01c206c46deb6e935a260be44f186a2f05179f52f7fcd2be086a94d \ - --hash=sha256:3dbd8cbadd46984f802f6d479b7e3afa86c42d13e8f0f322d669d79722c8ec34 \ - --hash=sha256:3e6f39af2eab0118338902798b5aa6664f46ff66bc0280de76fca67a7f262a49 \ - --hash=sha256:3f53fa183d53a1d7a8852277c92b967ae99c2d4dcee2bfacff8868e6e30b15f7 \ - --hash=sha256:3f6d37644155fb5beca5378feb8c1708d5783145f2a0f1c4d5a061a210254844 \ - --hash=sha256:3f7eb7da0eb23aa2ba036d4f616d46906013a68caf61b7fdbe42fc8b25132e77 \ - --hash=sha256:3fa0b59c92278b5a7800d3ee7733da9d096d4aabcfabb9a928918bd276ef9b9b \ - --hash=sha256:421e29339983e1bebc281fab40d812742268ad057db4aee8c4d2bce0af43b741 \ - --hash=sha256:4b943d3668d61cfa528eb949577479d3b077fd25fb83c641235437bc0b5bc60e \ - --hash=sha256:526e86aced14a65a5b0ec50827c745597c782ff46b571dbfe46192ab9e0b3c33 \ - --hash=sha256:52e06553899e11e8074503c8e716d574adeeb7e68913115c4b3653c53f9bae42 \ - --hash=sha256:544364b2b51a9b0c7000a4b4b02f90e9423d97fbbf7e06689236443ebcad81ab \ - --hash=sha256:5524298e3827105b61951a29c3512deb9578586abf3a7c5da4a8069df247cccc \ - --hash=sha256:55c7475190662e202c08c6c0f4d9e345a29367438cf8e8037f3155e10a88d5a5 \ - --hash=sha256:563b116874a9a7ce6f96f87cd0b94f7faf92d08d0021e837796f0a14318ef8da \ - --hash=sha256:57ca5281a8b5e27593cb7d82c2ac927ad88a96ed406aa446f6344e4328208e9e \ - --hash=sha256:5c85794a4cfa094714fb9c08d4a218375b2b95b8ed1666e8677c349906246c05 \ - --hash=sha256:5f3bde70f157f84ece3765b42b4a52c6ac1a50334903c6eaf765362f6ccca88a \ - --hash=sha256:5f3f58818dc0b07f7d9aa7fe9eb1037aecb9700e63e1f6acfed13e9fef648f5d \ - --hash=sha256:5fac835b4ab3c6487b5dbad78c4b3724e26bcc468e886f8ba8cc4306f68f6701 \ - --hash=sha256:620bae625f4cb18427b1bb1a2d9426dc0dd5a5ba74c7c2cdb9de405f7b129863 \ - --hash=sha256:672b8adf25b1a0d35c96b5888b7b18699d27d4194bac8beeae75be4b7a3fc9b2 \ - --hash=sha256:6aae418a8b323732fa89721d86f39ec8f092fc2af67f4217a2b07fd3e93c6101 \ - --hash=sha256:6c3631058c37e4a0ec440bf583bc53cdbd13e5661bb6f465bc1d88ee9a0a4d02 \ - --hash=sha256:6c9c9262f454d1c4d8aaa7050121eb4f3aea197360553699520767daebf2180b \ - --hash=sha256:6e43d39a741e972bab5d8100b5cdacf69db64e34eb19b6e9af162bccf63c5cc6 \ - --hash=sha256:7365b92c2e69ee952902e8f70f3ba6360d0d596d9299d55d7d386df84b6941fb \ - --hash=sha256:743185e7372b7bc7c389e1badcc606931a827112fbbd37f14c537320fca08620 \ - --hash=sha256:74472234c8370669850e1c312490f6026d132ca2d396abfad8830b4f1c096957 \ - 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--hash=sha256:cee9d5efd929efdac5f7e58f72b3376f676b64050a91c5b99a7094c5b2317488 \ + --hash=sha256:d158cd89df6053823533e06fb1d73c549133bff5f0396170c0e53d9559340717 \ + --hash=sha256:d20029a60a71a052a24c4db7673bc4de39ab89adbaccbfb5d67987c5d73f424d \ + --hash=sha256:d413349d565dab74297f2a63e84a097936be69bf8f3b3801f27f380e32040f44 \ + --hash=sha256:d4a4b147f5dca2a5d325a06a832fb43f345751adfbc63204aec30e0d9ca965a2 \ + --hash=sha256:d516b3283a758e087841aedb8031549fb41ced08f3db10aa6d2bf32dc042525b \ + --hash=sha256:d73a585accffa5ae39c17264c36ec3166d2fad7000c780f5ef83b2722afb9dd2 \ + --hash=sha256:dbd6c97045dad81227c8d040173da044c1de08de64a5ea8b555da4aee1d5fa22 \ + --hash=sha256:e0618518f282c4ebff60f5e5b1247b6d91bb8b9f4476947563a1e74acc66f3c6 \ + --hash=sha256:e140ed30ebde76796b686e67c182cff10ea2fbab186fafd1560f74bb5a473a6e \ + --hash=sha256:e1cfd51e97e13ff3bd047c140764d277fc9b95b7cb5da59e46a47d167adab310 \ + --hash=sha256:e2ca07fa7d89195ec0865d3d285666286740bfa83d83e5cee204043a31ecc165 \ + --hash=sha256:e53a384f76b631c3ae5334ce6a52f0baa3a911eb94a4eac7f160079868b716d5 \ + --hash=sha256:eb283ee99e21ad6443c8cdb06ac5b34b1308c329cbdf03fa02b445363714c799 \ + --hash=sha256:eb72919d93e3a16fc451d3aa3d4b1698423daca1b382d3d959c9ac51297c12a8 \ + --hash=sha256:ecb47f183a8025b2aa18b546725c3657e542112ae9c0613a2af79b4fa8d04ad7 \ + --hash=sha256:f155b3a1b2a5fc89cdc70d47ee5d54e3b75e88efa34982028a35daef9ba00379 \ + --hash=sha256:f22943b7770483f6ea0721c6b11d022947a98eb0acae14694de034f4d0d38925 \ + --hash=sha256:f28b2725eb8cce327b9b3ab02415c853011dc55c95832fe90de6bc56f5315f72 \ + --hash=sha256:f88af53d6ddaf72179ef613ddc905e6f4785f712b49b80b3bef9f3525e6194b4 \ + --hash=sha256:faea288b6f0ab1902ef08f4ca6de005dccf856c4e0c4f21b8c5fce02d90a1b08 \ + --hash=sha256:fff610d7bb2256a317bb1e96f0d7862c7aa8076733ee5df0fd41bbe76a24a4f4 # via uvicorn wcwidth==0.7.0 \ --hash=sha256:5d69154c429a82910e241c738cd0e2976fac8a2dd47a1a805f4afed1c0f136f2 \ --hash=sha256:90e3a7ea092341c44b99562e75d09e4d5160fe7a3974c6fb842a101a95e7eed0 - # via prompt-toolkit + # via + # prettytable + # prompt-toolkit webcolors==25.10.0 \ --hash=sha256:032c727334856fc0b968f63daa252a1ac93d33db2f5267756623c210e57a4f1d \ --hash=sha256:62abae86504f66d0f6364c2a8520de4a0c47b80c03fc3a5f1815fedbef7c19bf @@ -6646,7 +7104,10 @@ websockets==16.0 \ werkzeug==3.1.8 \ --hash=sha256:63a77fb8892bf28ebc3178683445222aa500e48ebad5ec77b0ad80f8726b1f50 \ --hash=sha256:9bad61a4268dac112f1c5cd4630a56ede601b6ed420300677a869083d70a4c44 - # via moto + # via + # flask + # flask-cors + # moto wheel==0.47.0 \ --hash=sha256:212281cab4dff978f6cedd499cd893e1f620791ca6ff7107cf270781e587eced \ --hash=sha256:cc72bd1009ba0cf63922e28f94d9d83b920aa2bb28f798a31d0691b02fa3c9b3 @@ -7071,9 +7532,9 @@ yarl==1.23.0 \ --hash=sha256:fe8f8f5e70e6dbdfca9882cd9deaac058729bcf323cf7a58660901e55c9c94f6 \ --hash=sha256:fffc45637bcd6538de8b85f51e3df3223e4ad89bccbfca0481c08c7fc8b7ed7d # via aiohttp -zipp==3.23.1 \ - --hash=sha256:0b3596c50a5c700c9cb40ba8d86d9f2cc4807e9bedb06bcdf7fac85633e444dc \ - --hash=sha256:32120e378d32cd9714ad503c1d024619063ec28aad2248dc6672ad13edfa5110 +zipp==4.1.0 \ + --hash=sha256:25ad4e16390cd314347dd8f1de67a2ac538ae658ed4ab9db16029c07c188e97f \ + --hash=sha256:4cb57381f544315db7688e976e922a2b18cdb513d21cc194eb42232ba2a3e602 # via importlib-metadata zstandard==0.25.0 \ --hash=sha256:011d388c76b11a0c165374ce660ce2c8efa8e5d87f34996aa80f9c0816698b64 \ diff --git a/sdk/python/requirements/py3.12-minimal-requirements.txt b/sdk/python/requirements/py3.12-minimal-requirements.txt index 9a531793acb..b52f33348d0 100644 --- a/sdk/python/requirements/py3.12-minimal-requirements.txt +++ b/sdk/python/requirements/py3.12-minimal-requirements.txt @@ -161,38 +161,40 @@ asn1crypto==1.5.1 \ --hash=sha256:13ae38502be632115abf8a24cbe5f4da52e3b5231990aff31123c805306ccb9c \ --hash=sha256:db4e40728b728508912cbb3d44f19ce188f218e9eba635821bb4b68564f8fd67 # via snowflake-connector-python -ast-serialize==0.4.0 \ - --hash=sha256:074032142777e3e6091977dc3c5146a8ca58ae6825b7f64e9a0b604153ddabd8 \ - --hash=sha256:1026f565a7ab846337c630909089b3346a2fe417bf1552b1581ab01852137407 \ - --hash=sha256:1c5245228e65d38cb48e1251f0ca71b0fa417e527141491e8c92f740e8e2d121 \ - --hash=sha256:1e1fb90def261f6a0db885876f7e1a49ad2dbac38ad9f2f62dba2f9543af16e7 \ - --hash=sha256:3bdde2c4570143791f636aed4e3ef868f5b46eb90a18f8d5c41dd045aab08bef \ - --hash=sha256:404f3462b4532e13a70b8849bba241dbd82e30043ff58d98c7e762fd925b116a \ - --hash=sha256:43729a5e369ebbe7750635c0c206bc616fcd36e703cb9c4497d6b4df0291ee64 \ - --hash=sha256:4738790cf54d8b416de992b87ee567056980bc82134d52458bd4985f389d1658 \ - --hash=sha256:4db9769d57deb5545ce56ebbbbe3436dcc0ae2688ce14c295cd14e106624ece7 \ - --hash=sha256:6551d55b8607b97a7755683d743200b398c61a0b71a11b7f00c89c335a11d0f4 \ - --hash=sha256:6615b39cd747967c3aabe68bf3f5f26748e823cc6b474ddc1510ed188a824149 \ - --hash=sha256:70d9c5d527bbfa69bd3c7d17dac11fb6781e36186a434a06d7d5892e0b2f88f9 \ - --hash=sha256:7234ff086cb152ea2a3b7ef895b5ebeb6d80779df049d5c6431c8e3536d5b03c \ - --hash=sha256:732b4ef76adcb0f298a7d18c4558336d83b1384f9ae0c7eaa1dc8d031b0a4390 \ - --hash=sha256:74e4e634ab82d1466acf0be27043178570b98ebeaa3165f9240a6fad4c286471 \ - --hash=sha256:79c8d015c771c8bfdb1208003b227b27c40034790a2c29c09f2317a041825ce2 \ - --hash=sha256:7fba7315fd4bd87cb5560792709f6e66e0606402d362c0a38dd32dfb66ba6066 \ - --hash=sha256:8f5153e9c44a02e61f4042c5f9249d2e8a759773d621a0b2f445a899e536e181 \ - --hash=sha256:905fc11940831454d93589bd7ce2acb6a5eb01c2936156f751d2a21087c98cd3 \ - --hash=sha256:90fc5c0d35a22f1a92dd33635508626d50f8fc64deb897c23e78e666a60804c9 \ - --hash=sha256:91362c0a9fdf1c344b7f50a5b0508b11a0732102998fbd754a191f7187e77031 \ - --hash=sha256:91d3786f3929786cdc4eeedfd110abb4603e7f6c1390c5af398f333a947b742d \ - --hash=sha256:97c55336e16f5c4ca2bde7be94cca4b8f7d665d64f7008925a82e02707ba14ac \ - --hash=sha256:9ecd6a1fc1b86f1f4e8ae206759b6319c10019706b3496b01b54d02b9b2cd918 \ - --hash=sha256:a6f26937ce0293aafbece0e39019e020369a5a70486ff4088227f0cc888844a9 \ - --hash=sha256:b3db87c4772097c0782250bcd550d66b1189a8c889793c7bcf153f4fee70005c \ - --hash=sha256:bd50d201098aae0d202805fe9606c0545492f69a3ec4403337e32c54ad29fc41 \ - --hash=sha256:cf2ff7b654c8e95143e20f5d75878cbb78b65b928b26c4d58ef71cdba9d6d981 \ - --hash=sha256:dcd04f85a29deb80400e8987cfaceb9907140f763453cbffdbd6ff36f1b32c12 \ - --hash=sha256:dcded5056d9f3d201df7833082c07ebcbc566ffc3d4105c9fc9fe278fa086ecb \ - --hash=sha256:faa008dccfcb793ae9101325e4d6d026caaa5d845c2182f03749c759834b0a3a +ast-serialize==0.5.0 \ + --hash=sha256:061ee58bdb52341c8201a6df41182a977736bae3b7ded87ca7176ca25a8a47ab \ + --hash=sha256:0668aa9459cfa8c9c49ddd2163ebcf43088ba045ef7492af6fe22e0098303101 \ + --hash=sha256:104e4a35bd7c124173c41760ef9aaea17ddb3f86c65cb643671d59afbe3ee94c \ + --hash=sha256:143a4ef63285a075871908fda3672dc21864b83a8ec3ee12304aa3e4c5387b9a \ + --hash=sha256:16db7c62ec0b8efe1d7afd283a388d8f74f2605d56032e5a37747d2de8dba027 \ + --hash=sha256:1943db345233cc7194a470f13afa9c59772c0b123dea0c9414c4d4ca54369759 \ + --hash=sha256:239a4c354e8d676e9d94631d1d4a64edc6b266f86ff3a5a80aedd344f342c01d \ + --hash=sha256:2782c36237c46dd1674542f2109740ea5ea485a169bf1431939ada0434e17934 \ + --hash=sha256:27d51654fc240a1e87e742d353d98eb45b75f62f129086b3596ab53df2ac2a43 \ + --hash=sha256:36be371028fc1675acb38a331bde160dbab7ff907fdf00b67eb6911aa106951b \ + --hash=sha256:5499e8797edff2a9186aa313ed382c6b422e798e9332d9953badcee6e69a88f2 \ + --hash=sha256:5880091bfe6f4f986f22866375c2e884843e7a0b6343ae41aeea659613d879b6 \ + --hash=sha256:6848f2a093fb5548751a9a09bff8fcd229e2bbeb0e3331f391b6ae6d26cd9903 \ + --hash=sha256:787baedb0262cc49e8ce37cc15c00ae818e46a165a3b36f5e21ed174998104cb \ + --hash=sha256:7d1a2de9de5be04652f0ed60738356ef94f66db37924a9499fffe98dc491aa0b \ + --hash=sha256:832d4c998e0b091fd60a6d6bceee535483c4d490de9ba85003af835225719261 \ + --hash=sha256:842d1c004bb466c7df036f95fabef789570541922b10976b12f5592a69cf0b38 \ + --hash=sha256:8f5c14f169eb0972c0c21bada5358b23d6047c76583b005234f865b11f1fa00a \ + --hash=sha256:92a31c9c20d25a076edaeec76b128a3535d74a24f340b9a8a7e96c9b86dc9642 \ + --hash=sha256:9cc22cf0c9be65e71cf88fda130af60d61eb4a79370ad4cfe7900d48a4aa2211 \ + --hash=sha256:b0c06d760909b095cc466356dfccd05a1c7233a6ca191c020dca2c6a6f16c24c \ + --hash=sha256:b15219e9cdc9f53f6f4cb51c009203507228226148c05c5e8fe451c28b435eb3 \ + --hash=sha256:b54f60c1d78767a53b67eaa663f0dfac3afe606aa07f1301572f588b73d64809 \ + --hash=sha256:b725026bafa801dbd7310eb13a75f0a2e370e7e51b2cb225f9d21fcfadf919ee \ + --hash=sha256:baf5eb061eb5bccade4128ad42da33787d72f6013809cd1b590376ece8b3c937 \ + --hash=sha256:be5173fb66f9b49026d9d5a2ff0fc7c7009077107c0eb285b2d60fdf1fe10bd1 \ + --hash=sha256:bf683d6363edf2b39eed6b6d4fe22d34b6203867a67e27134d9e2a2680c4bc4a \ + --hash=sha256:cae65289fc456fde04af979a2be09302ef5d8ab92ef23e596d6746dc267ada27 \ + --hash=sha256:cf25572c526add400f26a4750dc6ce0c3bb93fc1f75e7ae0cad4ce4f2cd5c590 \ + --hash=sha256:df1c00022cbbcb064bfaa505aa9c9295362443ce5dacb459d1331d3da353f887 \ + --hash=sha256:e42d729ef2be96a14efbad355093284739e3670ece3e534f82cc8832790911d9 \ + --hash=sha256:f66173891548c9f2726bf27957b41cabce12fa679dc6da505ddbde4d4b3b31cf \ + --hash=sha256:f8015cd071ac1339924ee2b8098c93e00e155f30a16f40ec9816fcf84f4753f6 # via mypy atpublic==7.0.0 \ --hash=sha256:466ef10d0c8bbd14fd02a5fbd5a8b6af6a846373d91106d3a07c16d72d96b63e \ @@ -453,9 +455,9 @@ charset-normalizer==3.4.7 \ # via # requests # snowflake-connector-python -click==8.3.3 \ - --hash=sha256:398329ad4837b2ff7cbe1dd166a4c0f8900c3ca3a218de04466f38f6497f18a2 \ - --hash=sha256:a2bf429bb3033c89fa4936ffb35d5cb471e3719e1f3c8a7c3fff0b8314305613 +click==8.4.0 \ + --hash=sha256:40c50b7c6c6adac2823d411041ec84f3f103f1b280d5e9ce0d7f998995832f81 \ + --hash=sha256:638f1338fe1235c8f4e008e4a8a254fb5c5fbdcbb40ece3c9142ebb78e792973 # via # feast (pyproject.toml) # dask @@ -745,9 +747,9 @@ google-api-core[grpc]==2.30.3 \ # google-cloud-datastore # google-cloud-storage # pandas-gbq -google-auth==2.52.0 \ - --hash=sha256:01f30e1a9e3638698d89464f5e603ce29d18e1c0e63ec31ac570aba4e164aaf5 \ - --hash=sha256:aee92803ba0ff93a70a3b8a35c7b4797837751cd6380b63ff38372b98f3ed627 +google-auth==2.53.0 \ + --hash=sha256:6e7449917c599b35126a99ec268ec6880301f2fea41dce198fe8fd83ff642b68 \ + --hash=sha256:e7e6aa16f6bee7b2b264830fd04f08087a1d5a836df516251a5d15327b246c9c # via # google-api-core # google-auth-oauthlib @@ -1664,79 +1666,79 @@ mypy-extensions==1.1.0 \ --hash=sha256:1be4cccdb0f2482337c4743e60421de3a356cd97508abadd57d47403e94f5505 \ --hash=sha256:52e68efc3284861e772bbcd66823fde5ae21fd2fdb51c62a211403730b916558 # via mypy -numpy==2.4.4 \ - --hash=sha256:07077278157d02f65c43b1b26a3886bce886f95d20aabd11f87932750dfb14ed \ - --hash=sha256:08f2e31ed5e6f04b118e49821397f12767934cfdd12a1ce86a058f91e004ee50 \ - --hash=sha256:0aec54fd785890ecca25a6003fd9a5aed47ad607bbac5cd64f836ad8666f4959 \ - --hash=sha256:0d35aea54ad1d420c812bfa0385c71cd7cc5bcf7c65fed95fc2cd02fe8c79827 \ - --hash=sha256:0d4e437e295f18ec29bc79daf55e8a47a9113df44d66f702f02a293d93a2d6dd \ - --hash=sha256:0dfd3f9d3adbe2920b68b5cd3d51444e13a10792ec7154cd0a2f6e74d4ab3233 \ - --hash=sha256:1378871da56ca8943c2ba674530924bb8ca40cd228358a3b5f302ad60cf875fc \ - --hash=sha256:15716cfef24d3a9762e3acdf87e27f58dc823d1348f765bbea6bef8c639bfa1b \ - --hash=sha256:19710a9ca9992d7174e9c52f643d4272dcd1558c5f7af7f6f8190f633bd651a7 \ - --hash=sha256:23cbfd4c17357c81021f21540da84ee282b9c8fba38a03b7b9d09ba6b951421e \ - --hash=sha256:2483e4584a1cb3092da4470b38866634bafb223cbcd551ee047633fd2584599a \ - --hash=sha256:27a8d92cd10f1382a67d7cf4db7ce18341b66438bdd9f691d7b0e48d104c2a9d \ - --hash=sha256:28a650663f7314afc3e6ec620f44f333c386aad9f6fc472030865dc0ebb26ee3 \ - --hash=sha256:2aa0613a5177c264ff5921051a5719d20095ea586ca88cc802c5c218d1c67d3e \ - --hash=sha256:2c194dd721e54ecad9ad387c1d35e63dce5c4450c6dc7dd5611283dda239aabb \ - --hash=sha256:2d19e6e2095506d1736b7d80595e0f252d76b89f5e715c35e06e937679ea7d7a \ - --hash=sha256:2d390634c5182175533585cc89f3608a4682ccb173cc9bb940b2881c8d6f8fa0 \ - --hash=sha256:30caa73029a225b2d40d9fae193e008e24b2026b7ee1a867b7ee8d96ca1a448e \ - --hash=sha256:42c16925aa5a02362f986765f9ebabf20de75cdefdca827d14315c568dcab113 \ - --hash=sha256:45dbed2ab436a9e826e302fcdcbe9133f9b0006e5af7168afb8963a6520da103 \ - --hash=sha256:4636de7fd195197b7535f231b5de9e4b36d2c440b6e566d2e4e4746e6af0ca93 \ - --hash=sha256:4a19d9dba1a76618dd86b164d608566f393f8ec6ac7c44f0cc879011c45e65af \ - --hash=sha256:4bbc7f303d125971f60ec0aaad5e12c62d0d2c925f0ab1273debd0e4ba37aba5 \ - --hash=sha256:4d6d57903571f86180eb98f8f0c839fa9ebbfb031356d87f1361be91e433f5b7 \ - --hash=sha256:4e874c976154687c1f71715b034739b45c7711bec81db01914770373d125e392 \ - --hash=sha256:51fc224f7ca4d92656d5a5eb315f12eb5fe2c97a66249aa7b5f562528a3be38c \ - --hash=sha256:58c8b5929fcb8287cbd6f0a3fae19c6e03a5c48402ae792962ac465224a629a4 \ - --hash=sha256:5a285b3b96f951841799528cd1f4f01cd70e7e0204b4abebac9463eecfcf2a40 \ - --hash=sha256:5c70f1cc1c4efbe316a572e2d8b9b9cc44e89b95f79ca3331553fbb63716e2bf \ - --hash=sha256:62d6b0f03b694173f9fcb1fb317f7222fd0b0b103e784c6549f5e53a27718c44 \ - --hash=sha256:6a246d5914aa1c820c9443ddcee9c02bec3e203b0c080349533fae17727dfd1b \ - --hash=sha256:6aa3236c78803afbcb255045fbef97a9e25a1f6c9888357d205ddc42f4d6eba5 \ - --hash=sha256:6bbe4eb67390b0a0265a2c25458f6b90a409d5d069f1041e6aff1e27e3d9a79e \ - --hash=sha256:715d1c092715954784bc79e1174fc2a90093dc4dc84ea15eb14dad8abdcdeb74 \ - --hash=sha256:72944b19f2324114e9dc86a159787333b77874143efcf89a5167ef83cfee8af0 \ - --hash=sha256:81f4a14bee47aec54f883e0cad2d73986640c1590eb9bfaaba7ad17394481e6e \ - --hash=sha256:846300f379b5b12cc769334464656bc882e0735d27d9726568bc932fdc49d5ec \ - --hash=sha256:86b6f55f5a352b48d7fbfd2dbc3d5b780b2d79f4d3c121f33eb6efb22e9a2015 \ - --hash=sha256:874f200b2a981c647340f841730fc3a2b54c9d940566a3c4149099591e2c4c3d \ - --hash=sha256:8a87ec22c87be071b6bdbd27920b129b94f2fc964358ce38f3822635a3e2e03d \ - --hash=sha256:8b3b60bb7cba2c8c81837661c488637eee696f59a877788a396d33150c35d842 \ - --hash=sha256:8e3ed142f2728df44263aaf5fb1f5b0b99f4070c553a0d7f033be65338329150 \ - --hash=sha256:93e15038125dc1e5345d9b5b68aa7f996ec33b98118d18c6ca0d0b7d6198b7e8 \ - --hash=sha256:989824e9faf85f96ec9c7761cd8d29c531ad857bfa1daa930cba85baaecf1a9a \ - --hash=sha256:99d838547ace2c4aace6c4f76e879ddfe02bb58a80c1549928477862b7a6d6ed \ - --hash=sha256:9b2aec6af35c113b05695ebb5749a787acd63cafc83086a05771d1e1cd1e555f \ - --hash=sha256:9c585a1790d5436a5374bac930dad6ed244c046ed91b2b2a3634eb2971d21008 \ - --hash=sha256:a7164afb23be6e37ad90b2f10426149fd75aee07ca55653d2aa41e66c4ef697e \ - --hash=sha256:ac6b31e35612a26483e20750126d30d0941f949426974cace8e6b5c58a3657b0 \ - 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--hash=sha256:e823b8b6edc81e747526f70f71a9c0a07ac4e7ad13020aa736bb7c9d67196115 \ - --hash=sha256:e892aff75639bbef0d2a2cfd55535510df26ff92f63c92cd84ef8d4ba5a5557f \ - --hash=sha256:eea7ac5d2dce4189771cedb559c738a71512768210dc4e4753b107a2048b3d0e \ - --hash=sha256:ef4059d6e5152fa1a39f888e344c73fdc926e1b2dd58c771d67b0acfbf2aa67d \ - --hash=sha256:f169b9a863d34f5d11b8698ead99febeaa17a13ca044961aa8e2662a6c7766a0 \ - --hash=sha256:f2cf083b324a467e1ab358c105f6cad5ea950f50524668a80c486ff1db24e119 \ - --hash=sha256:f8474c4241bc18b750be2abea9d7a9ec84f46ef861dbacf86a4f6e043401f79e \ - --hash=sha256:f983334aea213c99992053ede6168500e5f086ce74fbc4acc3f2b00f5762e9db \ - --hash=sha256:f9e75681b59ddaa5e659898085ae0eaea229d054f2ac0c7e563a62205a700121 \ - --hash=sha256:fbc356aae7adf9e6336d336b9c8111d390a05df88f1805573ebb0807bd06fd1d \ - --hash=sha256:fcfe2045fd2e8f3cb0ce9d4ba6dba6333b8fa05bb8a4939c908cd43322d14c7e +numpy==2.4.6 \ + --hash=sha256:001fbb8e08d942dd57599e781f2472269ee7f2755fae407b4f67b2f0b17da3f1 \ + --hash=sha256:0280e0356c0829a18d9de1cb7eee50ec22ca639878d7240307ca0943d73cd2c4 \ + --hash=sha256:043191bfa8eab18c776647b62723ac9dddece59743b13f49b2016094129c2b3f \ + --hash=sha256:06ca2f61ec4385a07a6977c55ba998a4466c123642b4a32694d3128fce18c079 \ + --hash=sha256:0a041d3d761dc3c35cc56ce0351506a02bcbc25f7b169f652435141a17db9096 \ + --hash=sha256:0ab0a9c4ffb1a6d95ef519fe4247dba8eb6b18ad93999f76b7f657039acabd47 \ + --hash=sha256:0c9136e14ed34a9e343a31c533d78a9813a69a3148332bce5e9821cb2f996e66 \ + --hash=sha256:110f8b71aacb688ec69062bb7f6938a0f8acb01b7c1c4beb453c65b6d234584d \ + --hash=sha256:112b06a867b235ef466ed3508ddf0238050df9c727cafb5301ac385b899189a1 \ + --hash=sha256:17f9ade344e7d9b464a084d69bcf18fc691cb1db67c62ed80820bf4926d78f0e \ + --hash=sha256:1e254a00cdf42b1e4d5b3d68d33af63268d41340d8885df2ab6470f2e1500147 \ + --hash=sha256:1e978ec1e8bd0e0e4de6bb75de9d30cbb74db6b6a2bb727618613703ca0167dd \ + 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--hash=sha256:511dbaf848decaaaf4b4ca48032619fb3138710c4bf7da7617765edad1ef96b0 \ + --hash=sha256:55cced7c52e981362f708ad635198e97a752dfba412cc03c23bbf3bd8d5cd662 \ + --hash=sha256:56b39e5e0622a09a25bf5baf62f4bcf0cb8a41ae6e2819cf49bbc5a74c083f91 \ + --hash=sha256:5dbbdb29840ca3d91ee0fece42fc29278886d908280bfec0a5846c6f901a3eb0 \ + --hash=sha256:5f9fb9157b4ce2971008323afe46053787b526ef624fea915b261468a8421a0f \ + --hash=sha256:6180d8b35af935aed8ece3a85e0a43f87393ae0ac87c8d2c8bd2c993f7270ef3 \ + --hash=sha256:68a5124b13fa6cc2086764a20005d30bc0548146f7f5322f02fce212ca14317f \ + --hash=sha256:68bb27509ac1b9a3443094260f6326150663b06abe40b73a2f81160623da5b67 \ + --hash=sha256:6f41ae150c4e32db4f3310cdaf64b1593a03dbabe29eec77fc9b50fe64061df6 \ + --hash=sha256:7265a2f3d436e54ef9f2b52b5c937e6be778781bd97a590319d7348f1c1ca997 \ + --hash=sha256:72fbe16c6fac95aedf5937fa873445cec2110be35d8a4e9433d7501fd98dae6b \ + --hash=sha256:7d92c3819208a60205a12a245c91ad70cb0a85336659b19b834205573ac8456e \ + --hash=sha256:8155154c7c691289fe18f510b5d4657c68c67989f293f0535a91360392ff6538 \ + --hash=sha256:81a1cca95ed5bb92aa8b10dd2cdc9a0d3853a50fad926c28b5d7e8ea54389627 \ + --hash=sha256:89cd468399cfd2504718f0ba50e410dca55a170b61a02ad92bb18c8a65186e93 \ + --hash=sha256:8ad03c0965fb3c692200e74d458ca28c1dbb4ce96f9a479a8aa041ad5fabca02 \ + --hash=sha256:90f9849678c75fe7afa2d348ac842c168b0a4d3d61919687216dfc547976d853 \ + --hash=sha256:948424b06129ce883307e8cff868c31396d8dc7630a59c61d70d98dbe70f222c \ + --hash=sha256:9cd5ffd25db4e7ba6a375693b3fc0fc1791ec636c17db3720da19bde7180ec43 \ + --hash=sha256:a0df0043bdb289bde1f62da130d20df23d58b45429f752bc7a8fc5325a225ecd \ + --hash=sha256:a2c306dea656c12c68f51f4cea133cbe78ca7435eb28c735eac1d3ebe73be6e8 \ + --hash=sha256:a7830bab239b79cda9c08c2da014761cafb48da6150e1da17ac06283f43b6089 \ + --hash=sha256:a7c711e21628b52034bb5ab8d1bce291f752fcc5e92accc615778acee1ff4778 \ + --hash=sha256:aaf159caa35993cb1f56fb9b8e4610d35758e7ca005412eb1daa856a78c9c4b1 \ + --hash=sha256:ae506e6902902557576a26ff33eda8695e7ecb3cb36c3b573a0765dee114ebdb \ + --hash=sha256:b507f5c4c1d508876d1819b6bf9a49d365b96320b5d4993426b33a23ca4b8261 \ + --hash=sha256:bf162abab1c1a736333192707cef898e735a5ca00f38f27eeedf44b39d9e85eb \ + --hash=sha256:c1a2af6c6ef86344a6b0db6b97834208bf598db514f2b155042439b62605601a \ + --hash=sha256:c2d37ab77531417474168eb79d6d80b14f821a966818505d03013d0833edb7a8 \ + --hash=sha256:c4fc99836233ea196540b17ab0983aff60ed07941751930f5f4d05bc3b3b7359 \ + --hash=sha256:d581b735e177fdcdce6fed8e7e8880a3fb6ee4e3653a3ac6af01c6f4c03effc5 \ + --hash=sha256:d6da64deb6b8ed903e7560180a92f2d804ee1ba5eeb849ac2748b8c1aba1f6d7 \ + --hash=sha256:d8e8286dd7cea7895157318d1b91cdacac64c479f3cbc8dce548331728484751 \ + --hash=sha256:ddea102b48f9e339f3948bf22040944184627a30fdf7f858667673b9c5f033c8 \ + --hash=sha256:dfa20cc6ca228e6b155b11da03825975ce66aea520985dbbddf0f2a5a495c605 \ + --hash=sha256:e3e5193ef5a3dc73bceee50f7fdc2c90dbb76c42df8d8fae3d1067a583df579e \ + --hash=sha256:e3eeb0aabd6bd5ce64faae67e9935203a6991b4bc2a485a767fbafb2c5125f45 \ + --hash=sha256:e5805d5a22fd19c8ccff10a9561f9df94436b0545619ea579db2d3c35294bce2 \ + --hash=sha256:e85b752a1e912b70eaad4fafbd4d1238007ab221de2009b9a2f5ae7461239895 \ + --hash=sha256:eaf7fa2de5c0be8ae6ff8e9bea2ccd725e980541244521d8d4b5f3354a27babe \ + --hash=sha256:ebfb099f8dcf083deef3ac1ca4c1503f387cf76296fcb3816b66f5ecb5f54fdb \ + --hash=sha256:ece3d2cfe132e7d51f44a832b303895e6f2d499c5e74dfbdb06ee246147a304a \ + --hash=sha256:ed9749eef4cbd126da3dc1d6bcb3a57f5eb7ac6a6484146bdbf743f552dfc577 \ + --hash=sha256:ede83e07a75dd06bc501566c1eca2afc0d61677c1472ac9ad93fdee6e638a48d \ + --hash=sha256:ef4aea96ce4d3b074422cb4f2f64e216bf9e213004bb58ecfdf50ea02ea8eb9a \ + --hash=sha256:f3a3570c4a2a16746ac2c31a7c7c7b0c186b95ce902e33db6f28094ed7387dda \ + --hash=sha256:f407cb6b8e9d6d8c626bc73c945db1706035af8fd632295547bf1c9e46d092d6 \ + --hash=sha256:f74a575920ab21fe304421a3fc28793d82e299cae9eccb37084e9fc7f3617c20 # via # feast (pyproject.toml) # dask @@ -2297,9 +2299,9 @@ python-dotenv==1.2.2 \ # pydantic-settings # pymilvus # uvicorn -python-multipart==0.0.28 \ - --hash=sha256:10faac07eb966c3f48dc415f9dee46c04cb10d58d30a35677db8027c825ed9b6 \ - --hash=sha256:8550da197eac0f7ab748961fc9509b999fa2662ea25cef857f05249f6893c0f8 +python-multipart==0.0.29 \ + --hash=sha256:2ddcc971cef266225f54f552d8fa10bcfbb1f14446caec199060daac59ff2d69 \ + --hash=sha256:643e93849196645e2dbdd81a0f8829a23123ad7f797a84a364c6fb3563f18904 # via mcp pytz==2026.2 \ --hash=sha256:04156e608bee23d3792fd45c94ae47fae1036688e75032eea2e3bf0323d1f126 \ @@ -2759,9 +2761,9 @@ typer==0.25.1 \ --hash=sha256:75caa44ed46a03fb2dab8808753ffacdbfea88495e74c85a28c5eefcf5f39c89 \ --hash=sha256:9616eb8853a09ffeabab1698952f33c6f29ffdbceb4eaeecf571880e8d7664cc # via fastapi-mcp -types-pymysql==1.1.0.20260508 \ - --hash=sha256:49abf0c2f8d944384834544a8f25ea1b25018c3d815f7ec676f73d0b7fe0731c \ - --hash=sha256:a726e6f867e0a1027a297c89d7646e4d52b7db6ccd11b2a40780120257610c78 +types-pymysql==1.1.0.20260518 \ + --hash=sha256:39a2448c4267dc4551e0824d2bfaecf7dfd171e89e6dbba90f4d4d45d55e4342 \ + --hash=sha256:cf697ce4e44124fc859e8e8a7f047c1dc864745c3c628b85a51b3ee01502ef98 # via feast (pyproject.toml) typing-extensions==4.15.0 \ --hash=sha256:0cea48d173cc12fa28ecabc3b837ea3cf6f38c6d1136f85cbaaf598984861466 \ @@ -2946,116 +2948,114 @@ uvloop==0.22.1 \ --hash=sha256:ef6f0d4cc8a9fa1f6a910230cd53545d9a14479311e87e3cb225495952eb672c \ --hash=sha256:fe94b4564e865d968414598eea1a6de60adba0c040ba4ed05ac1300de402cd42 # via uvicorn -watchfiles==1.1.1 \ - --hash=sha256:00485f441d183717038ed2e887a7c868154f216877653121068107b227a2f64c \ - --hash=sha256:03fa0f5237118a0c5e496185cafa92878568b652a2e9a9382a5151b1a0380a43 \ - --hash=sha256:04e78dd0b6352db95507fd8cb46f39d185cf8c74e4cf1e4fbad1d3df96faf510 \ - --hash=sha256:059098c3a429f62fc98e8ec62b982230ef2c8df68c79e826e37b895bc359a9c0 \ - 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--hash=sha256:a16ffe19bf5cf9f5edaa1ad1dd830c5a816e8feec430c522302ab55483a4b994 \ + --hash=sha256:a204794696ffb8f9b10fba6f7cb5216d42f3b2b71860ccac6b6e42f5f10973b0 \ + --hash=sha256:a711b51aec4370d0dcda5b6c09463206f133a5759341d7744b953a7b62e1100e \ + --hash=sha256:a88fc94e647bc4eec523f1caa540258eb71d14278b9daf72fa1e2658a98df0f0 \ + --hash=sha256:ae99b14c5f21e026e0e9d96f40e07d8570ebee6cafd9d8fc318354606daa7a28 \ + --hash=sha256:b0ef001f8c25ad0fa9529f914c1600647ecd0f542d11c19b7894768c67b6acb7 \ + --hash=sha256:b141a4891c995a039cd89e9a49e62df1dc8a559a5d1a6e4c7106d16c12777a55 \ + --hash=sha256:b4e77f6a55f858504069abd35d336a637555c09bca453dde1ee1e5ada8a6a1fb \ + --hash=sha256:b62f042afde2dde21ec1d2c1a74361e804673df86f51e418a999c9acfe671b07 \ + --hash=sha256:b718bf356bbc15e559bd8ef41782b573b8ae0e3f177ab244b440568d7ea02cfb \ + --hash=sha256:b8c8358484d5fa12ef34f05b7f4168eaf1932f408725ff6d023c33ec17bd79d4 \ + --hash=sha256:b974946a10af379d425e2eef5b62f5c6ebeaccf91d45eaad6f5b27ecd4f91aa0 \ + --hash=sha256:b9909cc2b48468b575eefa944919e1fe8a36c5849d5c7c168f80a8c1db69398e \ + --hash=sha256:b9f732dc58b2dbe69e464ccf8fff7a03b0dd0be439da4c0720d3558527d3d6b4 \ + --hash=sha256:bb68bf4df85abebe5efddc53cf2075520f243a59868d9b3973278b23e76962a9 \ + --hash=sha256:bb7e52ecf68ba46d22df23467b87cffeb2146908aa523ebfe803019618cfda06 \ + --hash=sha256:bc13eb17538be00c874699dc0abe4ee2bc8d50bb1166a6b9e175ef3fd7eb8f26 \ + --hash=sha256:c0db965c5f79aa49fe672d297cf1febc5ad149b658594944f49a54a2b96270a7 \ + --hash=sha256:c16cb06dd17d43b9d185094268459eac92c9538356f050e55b54e82cf700e1d4 \ + --hash=sha256:c525543d91961c6955b2636b308569e84a1d1c5f5f2932041ab9ef46422f43e3 \ + --hash=sha256:c5c19526f4e54a00f2666a6c0e9e40d582c09e865055ea7378bf0009aab857b3 \ + --hash=sha256:c995fba777f1ea992f090f9236e9284cf7a5d1a0130dd5a3d82c598cacd76838 \ + --hash=sha256:ca148d73dea36c9763aaa351e4d7a51780ec1584217c45276f4fe8239c768b71 \ + --hash=sha256:cee9d5efd929efdac5f7e58f72b3376f676b64050a91c5b99a7094c5b2317488 \ + --hash=sha256:d158cd89df6053823533e06fb1d73c549133bff5f0396170c0e53d9559340717 \ + --hash=sha256:d20029a60a71a052a24c4db7673bc4de39ab89adbaccbfb5d67987c5d73f424d \ + --hash=sha256:d413349d565dab74297f2a63e84a097936be69bf8f3b3801f27f380e32040f44 \ + --hash=sha256:d4a4b147f5dca2a5d325a06a832fb43f345751adfbc63204aec30e0d9ca965a2 \ + --hash=sha256:d516b3283a758e087841aedb8031549fb41ced08f3db10aa6d2bf32dc042525b \ + --hash=sha256:d73a585accffa5ae39c17264c36ec3166d2fad7000c780f5ef83b2722afb9dd2 \ + --hash=sha256:dbd6c97045dad81227c8d040173da044c1de08de64a5ea8b555da4aee1d5fa22 \ + --hash=sha256:e0618518f282c4ebff60f5e5b1247b6d91bb8b9f4476947563a1e74acc66f3c6 \ + --hash=sha256:e140ed30ebde76796b686e67c182cff10ea2fbab186fafd1560f74bb5a473a6e \ + --hash=sha256:e1cfd51e97e13ff3bd047c140764d277fc9b95b7cb5da59e46a47d167adab310 \ + --hash=sha256:e2ca07fa7d89195ec0865d3d285666286740bfa83d83e5cee204043a31ecc165 \ + --hash=sha256:e53a384f76b631c3ae5334ce6a52f0baa3a911eb94a4eac7f160079868b716d5 \ + --hash=sha256:eb283ee99e21ad6443c8cdb06ac5b34b1308c329cbdf03fa02b445363714c799 \ + --hash=sha256:eb72919d93e3a16fc451d3aa3d4b1698423daca1b382d3d959c9ac51297c12a8 \ + --hash=sha256:ecb47f183a8025b2aa18b546725c3657e542112ae9c0613a2af79b4fa8d04ad7 \ + --hash=sha256:f155b3a1b2a5fc89cdc70d47ee5d54e3b75e88efa34982028a35daef9ba00379 \ + --hash=sha256:f22943b7770483f6ea0721c6b11d022947a98eb0acae14694de034f4d0d38925 \ + --hash=sha256:f28b2725eb8cce327b9b3ab02415c853011dc55c95832fe90de6bc56f5315f72 \ + --hash=sha256:f88af53d6ddaf72179ef613ddc905e6f4785f712b49b80b3bef9f3525e6194b4 \ + --hash=sha256:faea288b6f0ab1902ef08f4ca6de005dccf856c4e0c4f21b8c5fce02d90a1b08 \ + --hash=sha256:fff610d7bb2256a317bb1e96f0d7862c7aa8076733ee5df0fd41bbe76a24a4f4 # via uvicorn websocket-client==1.9.0 \ --hash=sha256:9e813624b6eb619999a97dc7958469217c3176312b3a16a4bd1bc7e08a46ec98 \ diff --git a/sdk/python/requirements/py3.12-minimal-sdist-requirements-build.txt b/sdk/python/requirements/py3.12-minimal-sdist-requirements-build.txt index 070790ae39c..48163513c45 100644 --- a/sdk/python/requirements/py3.12-minimal-sdist-requirements-build.txt +++ b/sdk/python/requirements/py3.12-minimal-sdist-requirements-build.txt @@ -4,38 +4,40 @@ # # pybuild-deps compile --generate-hashes --output-file=sdk/python/requirements/py3.12-minimal-sdist-requirements-build.txt sdk/python/requirements/py3.12-minimal-sdist-requirements.txt # -ast-serialize==0.4.0 \ - --hash=sha256:074032142777e3e6091977dc3c5146a8ca58ae6825b7f64e9a0b604153ddabd8 \ - --hash=sha256:1026f565a7ab846337c630909089b3346a2fe417bf1552b1581ab01852137407 \ - --hash=sha256:1c5245228e65d38cb48e1251f0ca71b0fa417e527141491e8c92f740e8e2d121 \ - --hash=sha256:1e1fb90def261f6a0db885876f7e1a49ad2dbac38ad9f2f62dba2f9543af16e7 \ - --hash=sha256:3bdde2c4570143791f636aed4e3ef868f5b46eb90a18f8d5c41dd045aab08bef \ - --hash=sha256:404f3462b4532e13a70b8849bba241dbd82e30043ff58d98c7e762fd925b116a \ - --hash=sha256:43729a5e369ebbe7750635c0c206bc616fcd36e703cb9c4497d6b4df0291ee64 \ - --hash=sha256:4738790cf54d8b416de992b87ee567056980bc82134d52458bd4985f389d1658 \ - --hash=sha256:4db9769d57deb5545ce56ebbbbe3436dcc0ae2688ce14c295cd14e106624ece7 \ - --hash=sha256:6551d55b8607b97a7755683d743200b398c61a0b71a11b7f00c89c335a11d0f4 \ - --hash=sha256:6615b39cd747967c3aabe68bf3f5f26748e823cc6b474ddc1510ed188a824149 \ - --hash=sha256:70d9c5d527bbfa69bd3c7d17dac11fb6781e36186a434a06d7d5892e0b2f88f9 \ - --hash=sha256:7234ff086cb152ea2a3b7ef895b5ebeb6d80779df049d5c6431c8e3536d5b03c \ - --hash=sha256:732b4ef76adcb0f298a7d18c4558336d83b1384f9ae0c7eaa1dc8d031b0a4390 \ - --hash=sha256:74e4e634ab82d1466acf0be27043178570b98ebeaa3165f9240a6fad4c286471 \ - --hash=sha256:79c8d015c771c8bfdb1208003b227b27c40034790a2c29c09f2317a041825ce2 \ - --hash=sha256:7fba7315fd4bd87cb5560792709f6e66e0606402d362c0a38dd32dfb66ba6066 \ - --hash=sha256:8f5153e9c44a02e61f4042c5f9249d2e8a759773d621a0b2f445a899e536e181 \ - --hash=sha256:905fc11940831454d93589bd7ce2acb6a5eb01c2936156f751d2a21087c98cd3 \ - --hash=sha256:90fc5c0d35a22f1a92dd33635508626d50f8fc64deb897c23e78e666a60804c9 \ - --hash=sha256:91362c0a9fdf1c344b7f50a5b0508b11a0732102998fbd754a191f7187e77031 \ - --hash=sha256:91d3786f3929786cdc4eeedfd110abb4603e7f6c1390c5af398f333a947b742d \ - --hash=sha256:97c55336e16f5c4ca2bde7be94cca4b8f7d665d64f7008925a82e02707ba14ac \ - --hash=sha256:9ecd6a1fc1b86f1f4e8ae206759b6319c10019706b3496b01b54d02b9b2cd918 \ - --hash=sha256:a6f26937ce0293aafbece0e39019e020369a5a70486ff4088227f0cc888844a9 \ - --hash=sha256:b3db87c4772097c0782250bcd550d66b1189a8c889793c7bcf153f4fee70005c \ - --hash=sha256:bd50d201098aae0d202805fe9606c0545492f69a3ec4403337e32c54ad29fc41 \ - --hash=sha256:cf2ff7b654c8e95143e20f5d75878cbb78b65b928b26c4d58ef71cdba9d6d981 \ - --hash=sha256:dcd04f85a29deb80400e8987cfaceb9907140f763453cbffdbd6ff36f1b32c12 \ - --hash=sha256:dcded5056d9f3d201df7833082c07ebcbc566ffc3d4105c9fc9fe278fa086ecb \ - --hash=sha256:faa008dccfcb793ae9101325e4d6d026caaa5d845c2182f03749c759834b0a3a +ast-serialize==0.5.0 \ + --hash=sha256:061ee58bdb52341c8201a6df41182a977736bae3b7ded87ca7176ca25a8a47ab \ + --hash=sha256:0668aa9459cfa8c9c49ddd2163ebcf43088ba045ef7492af6fe22e0098303101 \ + --hash=sha256:104e4a35bd7c124173c41760ef9aaea17ddb3f86c65cb643671d59afbe3ee94c \ + --hash=sha256:143a4ef63285a075871908fda3672dc21864b83a8ec3ee12304aa3e4c5387b9a \ + --hash=sha256:16db7c62ec0b8efe1d7afd283a388d8f74f2605d56032e5a37747d2de8dba027 \ + --hash=sha256:1943db345233cc7194a470f13afa9c59772c0b123dea0c9414c4d4ca54369759 \ + --hash=sha256:239a4c354e8d676e9d94631d1d4a64edc6b266f86ff3a5a80aedd344f342c01d \ + --hash=sha256:2782c36237c46dd1674542f2109740ea5ea485a169bf1431939ada0434e17934 \ + --hash=sha256:27d51654fc240a1e87e742d353d98eb45b75f62f129086b3596ab53df2ac2a43 \ + --hash=sha256:36be371028fc1675acb38a331bde160dbab7ff907fdf00b67eb6911aa106951b \ + --hash=sha256:5499e8797edff2a9186aa313ed382c6b422e798e9332d9953badcee6e69a88f2 \ + --hash=sha256:5880091bfe6f4f986f22866375c2e884843e7a0b6343ae41aeea659613d879b6 \ + --hash=sha256:6848f2a093fb5548751a9a09bff8fcd229e2bbeb0e3331f391b6ae6d26cd9903 \ + --hash=sha256:787baedb0262cc49e8ce37cc15c00ae818e46a165a3b36f5e21ed174998104cb \ + --hash=sha256:7d1a2de9de5be04652f0ed60738356ef94f66db37924a9499fffe98dc491aa0b \ + --hash=sha256:832d4c998e0b091fd60a6d6bceee535483c4d490de9ba85003af835225719261 \ + --hash=sha256:842d1c004bb466c7df036f95fabef789570541922b10976b12f5592a69cf0b38 \ + --hash=sha256:8f5c14f169eb0972c0c21bada5358b23d6047c76583b005234f865b11f1fa00a \ + --hash=sha256:92a31c9c20d25a076edaeec76b128a3535d74a24f340b9a8a7e96c9b86dc9642 \ + --hash=sha256:9cc22cf0c9be65e71cf88fda130af60d61eb4a79370ad4cfe7900d48a4aa2211 \ + --hash=sha256:b0c06d760909b095cc466356dfccd05a1c7233a6ca191c020dca2c6a6f16c24c \ + --hash=sha256:b15219e9cdc9f53f6f4cb51c009203507228226148c05c5e8fe451c28b435eb3 \ + --hash=sha256:b54f60c1d78767a53b67eaa663f0dfac3afe606aa07f1301572f588b73d64809 \ + --hash=sha256:b725026bafa801dbd7310eb13a75f0a2e370e7e51b2cb225f9d21fcfadf919ee \ + --hash=sha256:baf5eb061eb5bccade4128ad42da33787d72f6013809cd1b590376ece8b3c937 \ + --hash=sha256:be5173fb66f9b49026d9d5a2ff0fc7c7009077107c0eb285b2d60fdf1fe10bd1 \ + --hash=sha256:bf683d6363edf2b39eed6b6d4fe22d34b6203867a67e27134d9e2a2680c4bc4a \ + --hash=sha256:cae65289fc456fde04af979a2be09302ef5d8ab92ef23e596d6746dc267ada27 \ + --hash=sha256:cf25572c526add400f26a4750dc6ce0c3bb93fc1f75e7ae0cad4ce4f2cd5c590 \ + --hash=sha256:df1c00022cbbcb064bfaa505aa9c9295362443ce5dacb459d1331d3da353f887 \ + --hash=sha256:e42d729ef2be96a14efbad355093284739e3670ece3e534f82cc8832790911d9 \ + --hash=sha256:f66173891548c9f2726bf27957b41cabce12fa679dc6da505ddbde4d4b3b31cf \ + --hash=sha256:f8015cd071ac1339924ee2b8098c93e00e155f30a16f40ec9816fcf84f4753f6 # via mypy calver==2025.3.31 \ --hash=sha256:07511edf5e7fa75ae97445c8c5921240e0fe62937289a3ebe6963eddd3c691b6 \ @@ -642,79 +644,79 @@ mypy-extensions==1.1.0 \ --hash=sha256:1be4cccdb0f2482337c4743e60421de3a356cd97508abadd57d47403e94f5505 \ --hash=sha256:52e68efc3284861e772bbcd66823fde5ae21fd2fdb51c62a211403730b916558 # via mypy -numpy==2.4.4 \ - --hash=sha256:07077278157d02f65c43b1b26a3886bce886f95d20aabd11f87932750dfb14ed \ - --hash=sha256:08f2e31ed5e6f04b118e49821397f12767934cfdd12a1ce86a058f91e004ee50 \ - --hash=sha256:0aec54fd785890ecca25a6003fd9a5aed47ad607bbac5cd64f836ad8666f4959 \ - --hash=sha256:0d35aea54ad1d420c812bfa0385c71cd7cc5bcf7c65fed95fc2cd02fe8c79827 \ - --hash=sha256:0d4e437e295f18ec29bc79daf55e8a47a9113df44d66f702f02a293d93a2d6dd \ - --hash=sha256:0dfd3f9d3adbe2920b68b5cd3d51444e13a10792ec7154cd0a2f6e74d4ab3233 \ - --hash=sha256:1378871da56ca8943c2ba674530924bb8ca40cd228358a3b5f302ad60cf875fc \ - --hash=sha256:15716cfef24d3a9762e3acdf87e27f58dc823d1348f765bbea6bef8c639bfa1b \ - --hash=sha256:19710a9ca9992d7174e9c52f643d4272dcd1558c5f7af7f6f8190f633bd651a7 \ - --hash=sha256:23cbfd4c17357c81021f21540da84ee282b9c8fba38a03b7b9d09ba6b951421e \ - --hash=sha256:2483e4584a1cb3092da4470b38866634bafb223cbcd551ee047633fd2584599a \ - --hash=sha256:27a8d92cd10f1382a67d7cf4db7ce18341b66438bdd9f691d7b0e48d104c2a9d \ - --hash=sha256:28a650663f7314afc3e6ec620f44f333c386aad9f6fc472030865dc0ebb26ee3 \ - --hash=sha256:2aa0613a5177c264ff5921051a5719d20095ea586ca88cc802c5c218d1c67d3e \ - --hash=sha256:2c194dd721e54ecad9ad387c1d35e63dce5c4450c6dc7dd5611283dda239aabb \ - --hash=sha256:2d19e6e2095506d1736b7d80595e0f252d76b89f5e715c35e06e937679ea7d7a \ - --hash=sha256:2d390634c5182175533585cc89f3608a4682ccb173cc9bb940b2881c8d6f8fa0 \ - --hash=sha256:30caa73029a225b2d40d9fae193e008e24b2026b7ee1a867b7ee8d96ca1a448e \ - --hash=sha256:42c16925aa5a02362f986765f9ebabf20de75cdefdca827d14315c568dcab113 \ - --hash=sha256:45dbed2ab436a9e826e302fcdcbe9133f9b0006e5af7168afb8963a6520da103 \ - --hash=sha256:4636de7fd195197b7535f231b5de9e4b36d2c440b6e566d2e4e4746e6af0ca93 \ - --hash=sha256:4a19d9dba1a76618dd86b164d608566f393f8ec6ac7c44f0cc879011c45e65af \ - --hash=sha256:4bbc7f303d125971f60ec0aaad5e12c62d0d2c925f0ab1273debd0e4ba37aba5 \ - --hash=sha256:4d6d57903571f86180eb98f8f0c839fa9ebbfb031356d87f1361be91e433f5b7 \ - --hash=sha256:4e874c976154687c1f71715b034739b45c7711bec81db01914770373d125e392 \ - --hash=sha256:51fc224f7ca4d92656d5a5eb315f12eb5fe2c97a66249aa7b5f562528a3be38c \ - --hash=sha256:58c8b5929fcb8287cbd6f0a3fae19c6e03a5c48402ae792962ac465224a629a4 \ - --hash=sha256:5a285b3b96f951841799528cd1f4f01cd70e7e0204b4abebac9463eecfcf2a40 \ - --hash=sha256:5c70f1cc1c4efbe316a572e2d8b9b9cc44e89b95f79ca3331553fbb63716e2bf \ - --hash=sha256:62d6b0f03b694173f9fcb1fb317f7222fd0b0b103e784c6549f5e53a27718c44 \ - --hash=sha256:6a246d5914aa1c820c9443ddcee9c02bec3e203b0c080349533fae17727dfd1b \ - --hash=sha256:6aa3236c78803afbcb255045fbef97a9e25a1f6c9888357d205ddc42f4d6eba5 \ - 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--hash=sha256:d2a8490669bfe99a233298348acc2d824d496dee0e66e31b66a6022c2ad74a5c \ - --hash=sha256:dddbbd259598d7240b18c9d87c56a9d2fb3b02fe266f49a7c101532e78c1d871 \ - --hash=sha256:df3775294accfdd75f32c74ae39fcba920c9a378a2fc18a12b6820aa8c1fb502 \ - --hash=sha256:e44319a2953c738205bf3354537979eaa3998ed673395b964c1176083dd46252 \ - --hash=sha256:e4a010c27ff6f210ff4c6ef34394cd61470d01014439b192ec22552ee867f2a8 \ - --hash=sha256:e823b8b6edc81e747526f70f71a9c0a07ac4e7ad13020aa736bb7c9d67196115 \ - --hash=sha256:e892aff75639bbef0d2a2cfd55535510df26ff92f63c92cd84ef8d4ba5a5557f \ - --hash=sha256:eea7ac5d2dce4189771cedb559c738a71512768210dc4e4753b107a2048b3d0e \ - --hash=sha256:ef4059d6e5152fa1a39f888e344c73fdc926e1b2dd58c771d67b0acfbf2aa67d \ - --hash=sha256:f169b9a863d34f5d11b8698ead99febeaa17a13ca044961aa8e2662a6c7766a0 \ - --hash=sha256:f2cf083b324a467e1ab358c105f6cad5ea950f50524668a80c486ff1db24e119 \ - --hash=sha256:f8474c4241bc18b750be2abea9d7a9ec84f46ef861dbacf86a4f6e043401f79e \ - --hash=sha256:f983334aea213c99992053ede6168500e5f086ce74fbc4acc3f2b00f5762e9db \ - --hash=sha256:f9e75681b59ddaa5e659898085ae0eaea229d054f2ac0c7e563a62205a700121 \ - --hash=sha256:fbc356aae7adf9e6336d336b9c8111d390a05df88f1805573ebb0807bd06fd1d \ - --hash=sha256:fcfe2045fd2e8f3cb0ce9d4ba6dba6333b8fa05bb8a4939c908cd43322d14c7e +numpy==2.4.6 \ + --hash=sha256:001fbb8e08d942dd57599e781f2472269ee7f2755fae407b4f67b2f0b17da3f1 \ + --hash=sha256:0280e0356c0829a18d9de1cb7eee50ec22ca639878d7240307ca0943d73cd2c4 \ + --hash=sha256:043191bfa8eab18c776647b62723ac9dddece59743b13f49b2016094129c2b3f \ + --hash=sha256:06ca2f61ec4385a07a6977c55ba998a4466c123642b4a32694d3128fce18c079 \ + --hash=sha256:0a041d3d761dc3c35cc56ce0351506a02bcbc25f7b169f652435141a17db9096 \ + --hash=sha256:0ab0a9c4ffb1a6d95ef519fe4247dba8eb6b18ad93999f76b7f657039acabd47 \ + --hash=sha256:0c9136e14ed34a9e343a31c533d78a9813a69a3148332bce5e9821cb2f996e66 \ + --hash=sha256:110f8b71aacb688ec69062bb7f6938a0f8acb01b7c1c4beb453c65b6d234584d \ + --hash=sha256:112b06a867b235ef466ed3508ddf0238050df9c727cafb5301ac385b899189a1 \ + --hash=sha256:17f9ade344e7d9b464a084d69bcf18fc691cb1db67c62ed80820bf4926d78f0e \ + --hash=sha256:1e254a00cdf42b1e4d5b3d68d33af63268d41340d8885df2ab6470f2e1500147 \ + --hash=sha256:1e978ec1e8bd0e0e4de6bb75de9d30cbb74db6b6a2bb727618613703ca0167dd \ + --hash=sha256:25c692919ac5a01f170a3bfcd62d745b24fd095c353d50812637d6fcab442e75 \ + --hash=sha256:260a5d70215b61ab4fadf5c7baacd64821842975eea312125ed3c39a6391b063 \ + --hash=sha256:2803abfebfc990042cd494d8ce2d5f82e9d847af6d35ec486923aa19dbad5e73 \ + --hash=sha256:29a287e0cf63ff528da061de6b9f64a4618da591ca1046aafc54062e40ca7eab \ + --hash=sha256:29cb7f67d10b479ff07c17d33e39f78c07f71c40ef30d63c153d340e96cd3fb4 \ + --hash=sha256:3213d622a0283a39a93d188f3cf72b26862df52fbb4ca3697f51705016523d41 \ + --hash=sha256:33111801a01c12a8a1e3721f0a9232f8cfc8ae2c6b7098167e6f623c6073f402 \ + --hash=sha256:357cc07a6d7b0b182ff02249616a03742827ebb1277546b5c7cd7f7620a45698 \ + --hash=sha256:38efbc8de75c7a0fc1ac190162d892787f3f47b57cc291231aafee36b80982b7 \ + --hash=sha256:4081eb135ac24158bd51cdfbef16f1c64df7063b1143f24731387137c092bec8 \ + --hash=sha256:40fdc1ae7125e518ea98e53e69a4ebc27e1fd50510c47b7ea130cf21e5e1d42b \ + --hash=sha256:4cfe66903cc32a9921a6733d96b19bb6abf310397581bbad89c228f5abaf0ee8 \ + --hash=sha256:511dbaf848decaaaf4b4ca48032619fb3138710c4bf7da7617765edad1ef96b0 \ + --hash=sha256:55cced7c52e981362f708ad635198e97a752dfba412cc03c23bbf3bd8d5cd662 \ + --hash=sha256:56b39e5e0622a09a25bf5baf62f4bcf0cb8a41ae6e2819cf49bbc5a74c083f91 \ + --hash=sha256:5dbbdb29840ca3d91ee0fece42fc29278886d908280bfec0a5846c6f901a3eb0 \ + --hash=sha256:5f9fb9157b4ce2971008323afe46053787b526ef624fea915b261468a8421a0f \ + --hash=sha256:6180d8b35af935aed8ece3a85e0a43f87393ae0ac87c8d2c8bd2c993f7270ef3 \ + --hash=sha256:68a5124b13fa6cc2086764a20005d30bc0548146f7f5322f02fce212ca14317f \ + --hash=sha256:68bb27509ac1b9a3443094260f6326150663b06abe40b73a2f81160623da5b67 \ + --hash=sha256:6f41ae150c4e32db4f3310cdaf64b1593a03dbabe29eec77fc9b50fe64061df6 \ + --hash=sha256:7265a2f3d436e54ef9f2b52b5c937e6be778781bd97a590319d7348f1c1ca997 \ + --hash=sha256:72fbe16c6fac95aedf5937fa873445cec2110be35d8a4e9433d7501fd98dae6b \ + --hash=sha256:7d92c3819208a60205a12a245c91ad70cb0a85336659b19b834205573ac8456e \ + --hash=sha256:8155154c7c691289fe18f510b5d4657c68c67989f293f0535a91360392ff6538 \ + --hash=sha256:81a1cca95ed5bb92aa8b10dd2cdc9a0d3853a50fad926c28b5d7e8ea54389627 \ + --hash=sha256:89cd468399cfd2504718f0ba50e410dca55a170b61a02ad92bb18c8a65186e93 \ + --hash=sha256:8ad03c0965fb3c692200e74d458ca28c1dbb4ce96f9a479a8aa041ad5fabca02 \ + --hash=sha256:90f9849678c75fe7afa2d348ac842c168b0a4d3d61919687216dfc547976d853 \ + --hash=sha256:948424b06129ce883307e8cff868c31396d8dc7630a59c61d70d98dbe70f222c \ + --hash=sha256:9cd5ffd25db4e7ba6a375693b3fc0fc1791ec636c17db3720da19bde7180ec43 \ + --hash=sha256:a0df0043bdb289bde1f62da130d20df23d58b45429f752bc7a8fc5325a225ecd \ + --hash=sha256:a2c306dea656c12c68f51f4cea133cbe78ca7435eb28c735eac1d3ebe73be6e8 \ + --hash=sha256:a7830bab239b79cda9c08c2da014761cafb48da6150e1da17ac06283f43b6089 \ + --hash=sha256:a7c711e21628b52034bb5ab8d1bce291f752fcc5e92accc615778acee1ff4778 \ + --hash=sha256:aaf159caa35993cb1f56fb9b8e4610d35758e7ca005412eb1daa856a78c9c4b1 \ + --hash=sha256:ae506e6902902557576a26ff33eda8695e7ecb3cb36c3b573a0765dee114ebdb \ + --hash=sha256:b507f5c4c1d508876d1819b6bf9a49d365b96320b5d4993426b33a23ca4b8261 \ + --hash=sha256:bf162abab1c1a736333192707cef898e735a5ca00f38f27eeedf44b39d9e85eb \ + --hash=sha256:c1a2af6c6ef86344a6b0db6b97834208bf598db514f2b155042439b62605601a \ + --hash=sha256:c2d37ab77531417474168eb79d6d80b14f821a966818505d03013d0833edb7a8 \ + --hash=sha256:c4fc99836233ea196540b17ab0983aff60ed07941751930f5f4d05bc3b3b7359 \ + --hash=sha256:d581b735e177fdcdce6fed8e7e8880a3fb6ee4e3653a3ac6af01c6f4c03effc5 \ + --hash=sha256:d6da64deb6b8ed903e7560180a92f2d804ee1ba5eeb849ac2748b8c1aba1f6d7 \ + --hash=sha256:d8e8286dd7cea7895157318d1b91cdacac64c479f3cbc8dce548331728484751 \ + --hash=sha256:ddea102b48f9e339f3948bf22040944184627a30fdf7f858667673b9c5f033c8 \ + --hash=sha256:dfa20cc6ca228e6b155b11da03825975ce66aea520985dbbddf0f2a5a495c605 \ + --hash=sha256:e3e5193ef5a3dc73bceee50f7fdc2c90dbb76c42df8d8fae3d1067a583df579e \ + --hash=sha256:e3eeb0aabd6bd5ce64faae67e9935203a6991b4bc2a485a767fbafb2c5125f45 \ + --hash=sha256:e5805d5a22fd19c8ccff10a9561f9df94436b0545619ea579db2d3c35294bce2 \ + --hash=sha256:e85b752a1e912b70eaad4fafbd4d1238007ab221de2009b9a2f5ae7461239895 \ + --hash=sha256:eaf7fa2de5c0be8ae6ff8e9bea2ccd725e980541244521d8d4b5f3354a27babe \ + --hash=sha256:ebfb099f8dcf083deef3ac1ca4c1503f387cf76296fcb3816b66f5ecb5f54fdb \ + --hash=sha256:ece3d2cfe132e7d51f44a832b303895e6f2d499c5e74dfbdb06ee246147a304a \ + --hash=sha256:ed9749eef4cbd126da3dc1d6bcb3a57f5eb7ac6a6484146bdbf743f552dfc577 \ + --hash=sha256:ede83e07a75dd06bc501566c1eca2afc0d61677c1472ac9ad93fdee6e638a48d \ + --hash=sha256:ef4aea96ce4d3b074422cb4f2f64e216bf9e213004bb58ecfdf50ea02ea8eb9a \ + --hash=sha256:f3a3570c4a2a16746ac2c31a7c7c7b0c186b95ce902e33db6f28094ed7387dda \ + --hash=sha256:f407cb6b8e9d6d8c626bc73c945db1706035af8fd632295547bf1c9e46d092d6 \ + --hash=sha256:f74a575920ab21fe304421a3fc28793d82e299cae9eccb37084e9fc7f3617c20 # via # pandas # pyarrow @@ -865,9 +867,9 @@ semantic-version==2.10.0 \ --hash=sha256:bdabb6d336998cbb378d4b9db3a4b56a1e3235701dc05ea2690d9a997ed5041c \ --hash=sha256:de78a3b8e0feda74cabc54aab2da702113e33ac9d9eb9d2389bcf1f58b7d9177 # via setuptools-rust -setuptools-git-versioning==3.0.1 \ - --hash=sha256:737c4d17e848edd46e28764a19dc424d8537fcb2257022e5f4f5c0c8e9b64c80 \ - --hash=sha256:c8a599bacf163b5d215552b5701faf5480ffc4d65426a5711a010b802e1590eb +setuptools-git-versioning==3.1.0 \ + --hash=sha256:3a68f3fd58a2a5e86b0792435cfa9d8e569ab60ee5e4c29228c09da9b637bf18 \ + --hash=sha256:612dfcf184addac9e1c2216f4f229724b2390e5bf613fb925ae80b84f2529172 # via toolz setuptools-rust==1.12.1 \ --hash=sha256:85ae70989d96c9cfeb5ef79cf3bac2d5200bc5564f720a06edceedbdf6664640 \ @@ -966,9 +968,9 @@ types-psutil==7.0.0.20250218 \ --hash=sha256:1447a30c282aafefcf8941ece854e1100eee7b0296a9d9be9977292f0269b121 \ --hash=sha256:1e642cdafe837b240295b23b1cbd4691d80b08a07d29932143cbbae30eb0db9c # via mypy -types-setuptools==82.0.0.20260508 \ - --hash=sha256:ba1d863bbd11526d7232bca8d5a4aebe1d38fa1677a550f47a2692b7d5776900 \ - --hash=sha256:e76ade6f42ba9b4211636b84b65a8e55948a67ffe81f9a44e66b8af93d57e77e +types-setuptools==82.0.0.20260518 \ + --hash=sha256:31c04a62b57a653a5021caf191be0f10f70df890f813b51f02bab3969d300f20 \ + --hash=sha256:3b743cfe63d0981ea4c15b90710fc1ed41e3464a537d51e705be514e891c1d07 # via mypy typing-extensions==4.15.0 \ --hash=sha256:0cea48d173cc12fa28ecabc3b837ea3cf6f38c6d1136f85cbaaf598984861466 \ diff --git a/sdk/python/requirements/py3.12-minimal-sdist-requirements.txt b/sdk/python/requirements/py3.12-minimal-sdist-requirements.txt index e3de3af6245..c16471e8a27 100644 --- a/sdk/python/requirements/py3.12-minimal-sdist-requirements.txt +++ b/sdk/python/requirements/py3.12-minimal-sdist-requirements.txt @@ -165,38 +165,40 @@ asn1crypto==1.5.1 \ --hash=sha256:13ae38502be632115abf8a24cbe5f4da52e3b5231990aff31123c805306ccb9c \ --hash=sha256:db4e40728b728508912cbb3d44f19ce188f218e9eba635821bb4b68564f8fd67 # via snowflake-connector-python -ast-serialize==0.4.0 \ - --hash=sha256:074032142777e3e6091977dc3c5146a8ca58ae6825b7f64e9a0b604153ddabd8 \ - --hash=sha256:1026f565a7ab846337c630909089b3346a2fe417bf1552b1581ab01852137407 \ - --hash=sha256:1c5245228e65d38cb48e1251f0ca71b0fa417e527141491e8c92f740e8e2d121 \ - --hash=sha256:1e1fb90def261f6a0db885876f7e1a49ad2dbac38ad9f2f62dba2f9543af16e7 \ - --hash=sha256:3bdde2c4570143791f636aed4e3ef868f5b46eb90a18f8d5c41dd045aab08bef \ - --hash=sha256:404f3462b4532e13a70b8849bba241dbd82e30043ff58d98c7e762fd925b116a \ - --hash=sha256:43729a5e369ebbe7750635c0c206bc616fcd36e703cb9c4497d6b4df0291ee64 \ - --hash=sha256:4738790cf54d8b416de992b87ee567056980bc82134d52458bd4985f389d1658 \ - --hash=sha256:4db9769d57deb5545ce56ebbbbe3436dcc0ae2688ce14c295cd14e106624ece7 \ - --hash=sha256:6551d55b8607b97a7755683d743200b398c61a0b71a11b7f00c89c335a11d0f4 \ - --hash=sha256:6615b39cd747967c3aabe68bf3f5f26748e823cc6b474ddc1510ed188a824149 \ - --hash=sha256:70d9c5d527bbfa69bd3c7d17dac11fb6781e36186a434a06d7d5892e0b2f88f9 \ - --hash=sha256:7234ff086cb152ea2a3b7ef895b5ebeb6d80779df049d5c6431c8e3536d5b03c \ - --hash=sha256:732b4ef76adcb0f298a7d18c4558336d83b1384f9ae0c7eaa1dc8d031b0a4390 \ - --hash=sha256:74e4e634ab82d1466acf0be27043178570b98ebeaa3165f9240a6fad4c286471 \ - --hash=sha256:79c8d015c771c8bfdb1208003b227b27c40034790a2c29c09f2317a041825ce2 \ - --hash=sha256:7fba7315fd4bd87cb5560792709f6e66e0606402d362c0a38dd32dfb66ba6066 \ - --hash=sha256:8f5153e9c44a02e61f4042c5f9249d2e8a759773d621a0b2f445a899e536e181 \ - --hash=sha256:905fc11940831454d93589bd7ce2acb6a5eb01c2936156f751d2a21087c98cd3 \ - --hash=sha256:90fc5c0d35a22f1a92dd33635508626d50f8fc64deb897c23e78e666a60804c9 \ - --hash=sha256:91362c0a9fdf1c344b7f50a5b0508b11a0732102998fbd754a191f7187e77031 \ - --hash=sha256:91d3786f3929786cdc4eeedfd110abb4603e7f6c1390c5af398f333a947b742d \ - --hash=sha256:97c55336e16f5c4ca2bde7be94cca4b8f7d665d64f7008925a82e02707ba14ac \ - --hash=sha256:9ecd6a1fc1b86f1f4e8ae206759b6319c10019706b3496b01b54d02b9b2cd918 \ - --hash=sha256:a6f26937ce0293aafbece0e39019e020369a5a70486ff4088227f0cc888844a9 \ - --hash=sha256:b3db87c4772097c0782250bcd550d66b1189a8c889793c7bcf153f4fee70005c \ - --hash=sha256:bd50d201098aae0d202805fe9606c0545492f69a3ec4403337e32c54ad29fc41 \ - --hash=sha256:cf2ff7b654c8e95143e20f5d75878cbb78b65b928b26c4d58ef71cdba9d6d981 \ - --hash=sha256:dcd04f85a29deb80400e8987cfaceb9907140f763453cbffdbd6ff36f1b32c12 \ - --hash=sha256:dcded5056d9f3d201df7833082c07ebcbc566ffc3d4105c9fc9fe278fa086ecb \ - --hash=sha256:faa008dccfcb793ae9101325e4d6d026caaa5d845c2182f03749c759834b0a3a +ast-serialize==0.5.0 \ + --hash=sha256:061ee58bdb52341c8201a6df41182a977736bae3b7ded87ca7176ca25a8a47ab \ + --hash=sha256:0668aa9459cfa8c9c49ddd2163ebcf43088ba045ef7492af6fe22e0098303101 \ + --hash=sha256:104e4a35bd7c124173c41760ef9aaea17ddb3f86c65cb643671d59afbe3ee94c \ + --hash=sha256:143a4ef63285a075871908fda3672dc21864b83a8ec3ee12304aa3e4c5387b9a \ + --hash=sha256:16db7c62ec0b8efe1d7afd283a388d8f74f2605d56032e5a37747d2de8dba027 \ + --hash=sha256:1943db345233cc7194a470f13afa9c59772c0b123dea0c9414c4d4ca54369759 \ + --hash=sha256:239a4c354e8d676e9d94631d1d4a64edc6b266f86ff3a5a80aedd344f342c01d \ + --hash=sha256:2782c36237c46dd1674542f2109740ea5ea485a169bf1431939ada0434e17934 \ + --hash=sha256:27d51654fc240a1e87e742d353d98eb45b75f62f129086b3596ab53df2ac2a43 \ + --hash=sha256:36be371028fc1675acb38a331bde160dbab7ff907fdf00b67eb6911aa106951b \ + --hash=sha256:5499e8797edff2a9186aa313ed382c6b422e798e9332d9953badcee6e69a88f2 \ + --hash=sha256:5880091bfe6f4f986f22866375c2e884843e7a0b6343ae41aeea659613d879b6 \ + --hash=sha256:6848f2a093fb5548751a9a09bff8fcd229e2bbeb0e3331f391b6ae6d26cd9903 \ + --hash=sha256:787baedb0262cc49e8ce37cc15c00ae818e46a165a3b36f5e21ed174998104cb \ + --hash=sha256:7d1a2de9de5be04652f0ed60738356ef94f66db37924a9499fffe98dc491aa0b \ + --hash=sha256:832d4c998e0b091fd60a6d6bceee535483c4d490de9ba85003af835225719261 \ + --hash=sha256:842d1c004bb466c7df036f95fabef789570541922b10976b12f5592a69cf0b38 \ + --hash=sha256:8f5c14f169eb0972c0c21bada5358b23d6047c76583b005234f865b11f1fa00a \ + --hash=sha256:92a31c9c20d25a076edaeec76b128a3535d74a24f340b9a8a7e96c9b86dc9642 \ + --hash=sha256:9cc22cf0c9be65e71cf88fda130af60d61eb4a79370ad4cfe7900d48a4aa2211 \ + --hash=sha256:b0c06d760909b095cc466356dfccd05a1c7233a6ca191c020dca2c6a6f16c24c \ + --hash=sha256:b15219e9cdc9f53f6f4cb51c009203507228226148c05c5e8fe451c28b435eb3 \ + --hash=sha256:b54f60c1d78767a53b67eaa663f0dfac3afe606aa07f1301572f588b73d64809 \ + --hash=sha256:b725026bafa801dbd7310eb13a75f0a2e370e7e51b2cb225f9d21fcfadf919ee \ + --hash=sha256:baf5eb061eb5bccade4128ad42da33787d72f6013809cd1b590376ece8b3c937 \ + --hash=sha256:be5173fb66f9b49026d9d5a2ff0fc7c7009077107c0eb285b2d60fdf1fe10bd1 \ + --hash=sha256:bf683d6363edf2b39eed6b6d4fe22d34b6203867a67e27134d9e2a2680c4bc4a \ + --hash=sha256:cae65289fc456fde04af979a2be09302ef5d8ab92ef23e596d6746dc267ada27 \ + --hash=sha256:cf25572c526add400f26a4750dc6ce0c3bb93fc1f75e7ae0cad4ce4f2cd5c590 \ + --hash=sha256:df1c00022cbbcb064bfaa505aa9c9295362443ce5dacb459d1331d3da353f887 \ + --hash=sha256:e42d729ef2be96a14efbad355093284739e3670ece3e534f82cc8832790911d9 \ + --hash=sha256:f66173891548c9f2726bf27957b41cabce12fa679dc6da505ddbde4d4b3b31cf \ + --hash=sha256:f8015cd071ac1339924ee2b8098c93e00e155f30a16f40ec9816fcf84f4753f6 # via mypy atpublic==7.0.0 \ --hash=sha256:466ef10d0c8bbd14fd02a5fbd5a8b6af6a846373d91106d3a07c16d72d96b63e \ @@ -465,9 +467,9 @@ charset-normalizer==3.4.7 \ # via # requests # snowflake-connector-python -click==8.3.3 \ - --hash=sha256:398329ad4837b2ff7cbe1dd166a4c0f8900c3ca3a218de04466f38f6497f18a2 \ - --hash=sha256:a2bf429bb3033c89fa4936ffb35d5cb471e3719e1f3c8a7c3fff0b8314305613 +click==8.4.0 \ + --hash=sha256:40c50b7c6c6adac2823d411041ec84f3f103f1b280d5e9ce0d7f998995832f81 \ + --hash=sha256:638f1338fe1235c8f4e008e4a8a254fb5c5fbdcbb40ece3c9142ebb78e792973 # via # feast (pyproject.toml) # dask @@ -831,9 +833,9 @@ google-api-core[grpc]==2.30.3 \ # google-cloud-datastore # google-cloud-storage # pandas-gbq -google-auth==2.52.0 \ - --hash=sha256:01f30e1a9e3638698d89464f5e603ce29d18e1c0e63ec31ac570aba4e164aaf5 \ - --hash=sha256:aee92803ba0ff93a70a3b8a35c7b4797837751cd6380b63ff38372b98f3ed627 +google-auth==2.53.0 \ + --hash=sha256:6e7449917c599b35126a99ec268ec6880301f2fea41dce198fe8fd83ff642b68 \ + --hash=sha256:e7e6aa16f6bee7b2b264830fd04f08087a1d5a836df516251a5d15327b246c9c # via # google-api-core # google-auth-oauthlib @@ -1834,79 +1836,79 @@ mypy-extensions==1.1.0 \ --hash=sha256:1be4cccdb0f2482337c4743e60421de3a356cd97508abadd57d47403e94f5505 \ --hash=sha256:52e68efc3284861e772bbcd66823fde5ae21fd2fdb51c62a211403730b916558 # via mypy -numpy==2.4.4 \ - --hash=sha256:07077278157d02f65c43b1b26a3886bce886f95d20aabd11f87932750dfb14ed \ - --hash=sha256:08f2e31ed5e6f04b118e49821397f12767934cfdd12a1ce86a058f91e004ee50 \ - --hash=sha256:0aec54fd785890ecca25a6003fd9a5aed47ad607bbac5cd64f836ad8666f4959 \ - --hash=sha256:0d35aea54ad1d420c812bfa0385c71cd7cc5bcf7c65fed95fc2cd02fe8c79827 \ - --hash=sha256:0d4e437e295f18ec29bc79daf55e8a47a9113df44d66f702f02a293d93a2d6dd \ - --hash=sha256:0dfd3f9d3adbe2920b68b5cd3d51444e13a10792ec7154cd0a2f6e74d4ab3233 \ - --hash=sha256:1378871da56ca8943c2ba674530924bb8ca40cd228358a3b5f302ad60cf875fc \ - --hash=sha256:15716cfef24d3a9762e3acdf87e27f58dc823d1348f765bbea6bef8c639bfa1b \ - --hash=sha256:19710a9ca9992d7174e9c52f643d4272dcd1558c5f7af7f6f8190f633bd651a7 \ - --hash=sha256:23cbfd4c17357c81021f21540da84ee282b9c8fba38a03b7b9d09ba6b951421e \ - --hash=sha256:2483e4584a1cb3092da4470b38866634bafb223cbcd551ee047633fd2584599a \ - --hash=sha256:27a8d92cd10f1382a67d7cf4db7ce18341b66438bdd9f691d7b0e48d104c2a9d \ - --hash=sha256:28a650663f7314afc3e6ec620f44f333c386aad9f6fc472030865dc0ebb26ee3 \ - --hash=sha256:2aa0613a5177c264ff5921051a5719d20095ea586ca88cc802c5c218d1c67d3e \ - --hash=sha256:2c194dd721e54ecad9ad387c1d35e63dce5c4450c6dc7dd5611283dda239aabb \ - --hash=sha256:2d19e6e2095506d1736b7d80595e0f252d76b89f5e715c35e06e937679ea7d7a \ - --hash=sha256:2d390634c5182175533585cc89f3608a4682ccb173cc9bb940b2881c8d6f8fa0 \ - --hash=sha256:30caa73029a225b2d40d9fae193e008e24b2026b7ee1a867b7ee8d96ca1a448e \ - --hash=sha256:42c16925aa5a02362f986765f9ebabf20de75cdefdca827d14315c568dcab113 \ - --hash=sha256:45dbed2ab436a9e826e302fcdcbe9133f9b0006e5af7168afb8963a6520da103 \ - --hash=sha256:4636de7fd195197b7535f231b5de9e4b36d2c440b6e566d2e4e4746e6af0ca93 \ - --hash=sha256:4a19d9dba1a76618dd86b164d608566f393f8ec6ac7c44f0cc879011c45e65af \ - --hash=sha256:4bbc7f303d125971f60ec0aaad5e12c62d0d2c925f0ab1273debd0e4ba37aba5 \ - --hash=sha256:4d6d57903571f86180eb98f8f0c839fa9ebbfb031356d87f1361be91e433f5b7 \ - --hash=sha256:4e874c976154687c1f71715b034739b45c7711bec81db01914770373d125e392 \ - --hash=sha256:51fc224f7ca4d92656d5a5eb315f12eb5fe2c97a66249aa7b5f562528a3be38c \ - --hash=sha256:58c8b5929fcb8287cbd6f0a3fae19c6e03a5c48402ae792962ac465224a629a4 \ - --hash=sha256:5a285b3b96f951841799528cd1f4f01cd70e7e0204b4abebac9463eecfcf2a40 \ - --hash=sha256:5c70f1cc1c4efbe316a572e2d8b9b9cc44e89b95f79ca3331553fbb63716e2bf \ - --hash=sha256:62d6b0f03b694173f9fcb1fb317f7222fd0b0b103e784c6549f5e53a27718c44 \ - --hash=sha256:6a246d5914aa1c820c9443ddcee9c02bec3e203b0c080349533fae17727dfd1b \ - --hash=sha256:6aa3236c78803afbcb255045fbef97a9e25a1f6c9888357d205ddc42f4d6eba5 \ - --hash=sha256:6bbe4eb67390b0a0265a2c25458f6b90a409d5d069f1041e6aff1e27e3d9a79e \ - --hash=sha256:715d1c092715954784bc79e1174fc2a90093dc4dc84ea15eb14dad8abdcdeb74 \ - --hash=sha256:72944b19f2324114e9dc86a159787333b77874143efcf89a5167ef83cfee8af0 \ - --hash=sha256:81f4a14bee47aec54f883e0cad2d73986640c1590eb9bfaaba7ad17394481e6e \ - --hash=sha256:846300f379b5b12cc769334464656bc882e0735d27d9726568bc932fdc49d5ec \ - --hash=sha256:86b6f55f5a352b48d7fbfd2dbc3d5b780b2d79f4d3c121f33eb6efb22e9a2015 \ - --hash=sha256:874f200b2a981c647340f841730fc3a2b54c9d940566a3c4149099591e2c4c3d \ - --hash=sha256:8a87ec22c87be071b6bdbd27920b129b94f2fc964358ce38f3822635a3e2e03d \ - --hash=sha256:8b3b60bb7cba2c8c81837661c488637eee696f59a877788a396d33150c35d842 \ - --hash=sha256:8e3ed142f2728df44263aaf5fb1f5b0b99f4070c553a0d7f033be65338329150 \ - --hash=sha256:93e15038125dc1e5345d9b5b68aa7f996ec33b98118d18c6ca0d0b7d6198b7e8 \ - --hash=sha256:989824e9faf85f96ec9c7761cd8d29c531ad857bfa1daa930cba85baaecf1a9a \ - --hash=sha256:99d838547ace2c4aace6c4f76e879ddfe02bb58a80c1549928477862b7a6d6ed \ - --hash=sha256:9b2aec6af35c113b05695ebb5749a787acd63cafc83086a05771d1e1cd1e555f \ - --hash=sha256:9c585a1790d5436a5374bac930dad6ed244c046ed91b2b2a3634eb2971d21008 \ - --hash=sha256:a7164afb23be6e37ad90b2f10426149fd75aee07ca55653d2aa41e66c4ef697e \ - --hash=sha256:ac6b31e35612a26483e20750126d30d0941f949426974cace8e6b5c58a3657b0 \ - --hash=sha256:ad2e2ef14e0b04e544ea2fa0a36463f847f113d314aa02e5b402fdf910ef309e \ - --hash=sha256:b268594bccac7d7cf5844c7732e3f20c50921d94e36d7ec9b79e9857694b1b2f \ - --hash=sha256:b5f0362dc928a6ecd9db58868fca5e48485205e3855957bdedea308f8672ea4a \ - --hash=sha256:ba1f4fc670ed79f876f70082eff4f9583c15fb9a4b89d6188412de4d18ae2f40 \ - --hash=sha256:ba203255017337d39f89bdd58417f03c4426f12beed0440cfd933cb15f8669c7 \ - --hash=sha256:c901b15172510173f5cb310eae652908340f8dede90fff9e3bf6c0d8dfd92f83 \ - --hash=sha256:c9b39d38a9bd2ae1becd7eac1303d031c5c110ad31f2b319c6e7d98b135c934d \ - --hash=sha256:d2a8490669bfe99a233298348acc2d824d496dee0e66e31b66a6022c2ad74a5c \ - --hash=sha256:dddbbd259598d7240b18c9d87c56a9d2fb3b02fe266f49a7c101532e78c1d871 \ - --hash=sha256:df3775294accfdd75f32c74ae39fcba920c9a378a2fc18a12b6820aa8c1fb502 \ - --hash=sha256:e44319a2953c738205bf3354537979eaa3998ed673395b964c1176083dd46252 \ - --hash=sha256:e4a010c27ff6f210ff4c6ef34394cd61470d01014439b192ec22552ee867f2a8 \ - --hash=sha256:e823b8b6edc81e747526f70f71a9c0a07ac4e7ad13020aa736bb7c9d67196115 \ - --hash=sha256:e892aff75639bbef0d2a2cfd55535510df26ff92f63c92cd84ef8d4ba5a5557f \ - --hash=sha256:eea7ac5d2dce4189771cedb559c738a71512768210dc4e4753b107a2048b3d0e \ - --hash=sha256:ef4059d6e5152fa1a39f888e344c73fdc926e1b2dd58c771d67b0acfbf2aa67d \ - --hash=sha256:f169b9a863d34f5d11b8698ead99febeaa17a13ca044961aa8e2662a6c7766a0 \ - --hash=sha256:f2cf083b324a467e1ab358c105f6cad5ea950f50524668a80c486ff1db24e119 \ - --hash=sha256:f8474c4241bc18b750be2abea9d7a9ec84f46ef861dbacf86a4f6e043401f79e \ - --hash=sha256:f983334aea213c99992053ede6168500e5f086ce74fbc4acc3f2b00f5762e9db \ - --hash=sha256:f9e75681b59ddaa5e659898085ae0eaea229d054f2ac0c7e563a62205a700121 \ - --hash=sha256:fbc356aae7adf9e6336d336b9c8111d390a05df88f1805573ebb0807bd06fd1d \ - --hash=sha256:fcfe2045fd2e8f3cb0ce9d4ba6dba6333b8fa05bb8a4939c908cd43322d14c7e +numpy==2.4.6 \ + --hash=sha256:001fbb8e08d942dd57599e781f2472269ee7f2755fae407b4f67b2f0b17da3f1 \ + --hash=sha256:0280e0356c0829a18d9de1cb7eee50ec22ca639878d7240307ca0943d73cd2c4 \ + --hash=sha256:043191bfa8eab18c776647b62723ac9dddece59743b13f49b2016094129c2b3f \ + --hash=sha256:06ca2f61ec4385a07a6977c55ba998a4466c123642b4a32694d3128fce18c079 \ + --hash=sha256:0a041d3d761dc3c35cc56ce0351506a02bcbc25f7b169f652435141a17db9096 \ + --hash=sha256:0ab0a9c4ffb1a6d95ef519fe4247dba8eb6b18ad93999f76b7f657039acabd47 \ + --hash=sha256:0c9136e14ed34a9e343a31c533d78a9813a69a3148332bce5e9821cb2f996e66 \ + --hash=sha256:110f8b71aacb688ec69062bb7f6938a0f8acb01b7c1c4beb453c65b6d234584d \ + --hash=sha256:112b06a867b235ef466ed3508ddf0238050df9c727cafb5301ac385b899189a1 \ + --hash=sha256:17f9ade344e7d9b464a084d69bcf18fc691cb1db67c62ed80820bf4926d78f0e \ + --hash=sha256:1e254a00cdf42b1e4d5b3d68d33af63268d41340d8885df2ab6470f2e1500147 \ + --hash=sha256:1e978ec1e8bd0e0e4de6bb75de9d30cbb74db6b6a2bb727618613703ca0167dd \ + --hash=sha256:25c692919ac5a01f170a3bfcd62d745b24fd095c353d50812637d6fcab442e75 \ + --hash=sha256:260a5d70215b61ab4fadf5c7baacd64821842975eea312125ed3c39a6391b063 \ + --hash=sha256:2803abfebfc990042cd494d8ce2d5f82e9d847af6d35ec486923aa19dbad5e73 \ + --hash=sha256:29a287e0cf63ff528da061de6b9f64a4618da591ca1046aafc54062e40ca7eab \ + --hash=sha256:29cb7f67d10b479ff07c17d33e39f78c07f71c40ef30d63c153d340e96cd3fb4 \ + --hash=sha256:3213d622a0283a39a93d188f3cf72b26862df52fbb4ca3697f51705016523d41 \ + --hash=sha256:33111801a01c12a8a1e3721f0a9232f8cfc8ae2c6b7098167e6f623c6073f402 \ + --hash=sha256:357cc07a6d7b0b182ff02249616a03742827ebb1277546b5c7cd7f7620a45698 \ + --hash=sha256:38efbc8de75c7a0fc1ac190162d892787f3f47b57cc291231aafee36b80982b7 \ + --hash=sha256:4081eb135ac24158bd51cdfbef16f1c64df7063b1143f24731387137c092bec8 \ + --hash=sha256:40fdc1ae7125e518ea98e53e69a4ebc27e1fd50510c47b7ea130cf21e5e1d42b \ + --hash=sha256:4cfe66903cc32a9921a6733d96b19bb6abf310397581bbad89c228f5abaf0ee8 \ + --hash=sha256:511dbaf848decaaaf4b4ca48032619fb3138710c4bf7da7617765edad1ef96b0 \ + --hash=sha256:55cced7c52e981362f708ad635198e97a752dfba412cc03c23bbf3bd8d5cd662 \ + --hash=sha256:56b39e5e0622a09a25bf5baf62f4bcf0cb8a41ae6e2819cf49bbc5a74c083f91 \ + --hash=sha256:5dbbdb29840ca3d91ee0fece42fc29278886d908280bfec0a5846c6f901a3eb0 \ + --hash=sha256:5f9fb9157b4ce2971008323afe46053787b526ef624fea915b261468a8421a0f \ + --hash=sha256:6180d8b35af935aed8ece3a85e0a43f87393ae0ac87c8d2c8bd2c993f7270ef3 \ + --hash=sha256:68a5124b13fa6cc2086764a20005d30bc0548146f7f5322f02fce212ca14317f \ + --hash=sha256:68bb27509ac1b9a3443094260f6326150663b06abe40b73a2f81160623da5b67 \ + --hash=sha256:6f41ae150c4e32db4f3310cdaf64b1593a03dbabe29eec77fc9b50fe64061df6 \ + --hash=sha256:7265a2f3d436e54ef9f2b52b5c937e6be778781bd97a590319d7348f1c1ca997 \ + --hash=sha256:72fbe16c6fac95aedf5937fa873445cec2110be35d8a4e9433d7501fd98dae6b \ + --hash=sha256:7d92c3819208a60205a12a245c91ad70cb0a85336659b19b834205573ac8456e \ + --hash=sha256:8155154c7c691289fe18f510b5d4657c68c67989f293f0535a91360392ff6538 \ + --hash=sha256:81a1cca95ed5bb92aa8b10dd2cdc9a0d3853a50fad926c28b5d7e8ea54389627 \ + --hash=sha256:89cd468399cfd2504718f0ba50e410dca55a170b61a02ad92bb18c8a65186e93 \ + --hash=sha256:8ad03c0965fb3c692200e74d458ca28c1dbb4ce96f9a479a8aa041ad5fabca02 \ + --hash=sha256:90f9849678c75fe7afa2d348ac842c168b0a4d3d61919687216dfc547976d853 \ + --hash=sha256:948424b06129ce883307e8cff868c31396d8dc7630a59c61d70d98dbe70f222c \ + --hash=sha256:9cd5ffd25db4e7ba6a375693b3fc0fc1791ec636c17db3720da19bde7180ec43 \ + --hash=sha256:a0df0043bdb289bde1f62da130d20df23d58b45429f752bc7a8fc5325a225ecd \ + --hash=sha256:a2c306dea656c12c68f51f4cea133cbe78ca7435eb28c735eac1d3ebe73be6e8 \ + --hash=sha256:a7830bab239b79cda9c08c2da014761cafb48da6150e1da17ac06283f43b6089 \ + --hash=sha256:a7c711e21628b52034bb5ab8d1bce291f752fcc5e92accc615778acee1ff4778 \ + --hash=sha256:aaf159caa35993cb1f56fb9b8e4610d35758e7ca005412eb1daa856a78c9c4b1 \ + --hash=sha256:ae506e6902902557576a26ff33eda8695e7ecb3cb36c3b573a0765dee114ebdb \ + --hash=sha256:b507f5c4c1d508876d1819b6bf9a49d365b96320b5d4993426b33a23ca4b8261 \ + --hash=sha256:bf162abab1c1a736333192707cef898e735a5ca00f38f27eeedf44b39d9e85eb \ + --hash=sha256:c1a2af6c6ef86344a6b0db6b97834208bf598db514f2b155042439b62605601a \ + --hash=sha256:c2d37ab77531417474168eb79d6d80b14f821a966818505d03013d0833edb7a8 \ + --hash=sha256:c4fc99836233ea196540b17ab0983aff60ed07941751930f5f4d05bc3b3b7359 \ + --hash=sha256:d581b735e177fdcdce6fed8e7e8880a3fb6ee4e3653a3ac6af01c6f4c03effc5 \ + --hash=sha256:d6da64deb6b8ed903e7560180a92f2d804ee1ba5eeb849ac2748b8c1aba1f6d7 \ + --hash=sha256:d8e8286dd7cea7895157318d1b91cdacac64c479f3cbc8dce548331728484751 \ + --hash=sha256:ddea102b48f9e339f3948bf22040944184627a30fdf7f858667673b9c5f033c8 \ + --hash=sha256:dfa20cc6ca228e6b155b11da03825975ce66aea520985dbbddf0f2a5a495c605 \ + --hash=sha256:e3e5193ef5a3dc73bceee50f7fdc2c90dbb76c42df8d8fae3d1067a583df579e \ + --hash=sha256:e3eeb0aabd6bd5ce64faae67e9935203a6991b4bc2a485a767fbafb2c5125f45 \ + --hash=sha256:e5805d5a22fd19c8ccff10a9561f9df94436b0545619ea579db2d3c35294bce2 \ + --hash=sha256:e85b752a1e912b70eaad4fafbd4d1238007ab221de2009b9a2f5ae7461239895 \ + --hash=sha256:eaf7fa2de5c0be8ae6ff8e9bea2ccd725e980541244521d8d4b5f3354a27babe \ + --hash=sha256:ebfb099f8dcf083deef3ac1ca4c1503f387cf76296fcb3816b66f5ecb5f54fdb \ + --hash=sha256:ece3d2cfe132e7d51f44a832b303895e6f2d499c5e74dfbdb06ee246147a304a \ + --hash=sha256:ed9749eef4cbd126da3dc1d6bcb3a57f5eb7ac6a6484146bdbf743f552dfc577 \ + --hash=sha256:ede83e07a75dd06bc501566c1eca2afc0d61677c1472ac9ad93fdee6e638a48d \ + --hash=sha256:ef4aea96ce4d3b074422cb4f2f64e216bf9e213004bb58ecfdf50ea02ea8eb9a \ + --hash=sha256:f3a3570c4a2a16746ac2c31a7c7c7b0c186b95ce902e33db6f28094ed7387dda \ + --hash=sha256:f407cb6b8e9d6d8c626bc73c945db1706035af8fd632295547bf1c9e46d092d6 \ + --hash=sha256:f74a575920ab21fe304421a3fc28793d82e299cae9eccb37084e9fc7f3617c20 # via # feast (pyproject.toml) # dask @@ -2500,9 +2502,9 @@ python-dotenv==1.2.2 \ # pydantic-settings # pymilvus # uvicorn -python-multipart==0.0.28 \ - --hash=sha256:10faac07eb966c3f48dc415f9dee46c04cb10d58d30a35677db8027c825ed9b6 \ - --hash=sha256:8550da197eac0f7ab748961fc9509b999fa2662ea25cef857f05249f6893c0f8 +python-multipart==0.0.29 \ + --hash=sha256:2ddcc971cef266225f54f552d8fa10bcfbb1f14446caec199060daac59ff2d69 \ + --hash=sha256:643e93849196645e2dbdd81a0f8829a23123ad7f797a84a364c6fb3563f18904 # via mcp pytz==2026.2 \ --hash=sha256:04156e608bee23d3792fd45c94ae47fae1036688e75032eea2e3bf0323d1f126 \ @@ -3016,9 +3018,9 @@ types-psutil==7.0.0.20250218 \ --hash=sha256:1447a30c282aafefcf8941ece854e1100eee7b0296a9d9be9977292f0269b121 \ --hash=sha256:1e642cdafe837b240295b23b1cbd4691d80b08a07d29932143cbbae30eb0db9c # via feast (pyproject.toml) -types-pymysql==1.1.0.20260508 \ - --hash=sha256:49abf0c2f8d944384834544a8f25ea1b25018c3d815f7ec676f73d0b7fe0731c \ - --hash=sha256:a726e6f867e0a1027a297c89d7646e4d52b7db6ccd11b2a40780120257610c78 +types-pymysql==1.1.0.20260518 \ + --hash=sha256:39a2448c4267dc4551e0824d2bfaecf7dfd171e89e6dbba90f4d4d45d55e4342 \ + --hash=sha256:cf697ce4e44124fc859e8e8a7f047c1dc864745c3c628b85a51b3ee01502ef98 # via feast (pyproject.toml) typing-extensions==4.15.0 \ --hash=sha256:0cea48d173cc12fa28ecabc3b837ea3cf6f38c6d1136f85cbaaf598984861466 \ @@ -3207,116 +3209,114 @@ vcs-versioning==1.1.1 \ --hash=sha256:b541e2ba79fc6aaa3850f8a7f88af43d97c1c80649c01142ee4146eddbc599e4 \ --hash=sha256:fabd75a3cab7dd8ac02fe24a3a9ba936bf258667b5a62ed468c9a1da0f5775bc # via setuptools-scm -watchfiles==1.1.1 \ - --hash=sha256:00485f441d183717038ed2e887a7c868154f216877653121068107b227a2f64c \ - --hash=sha256:03fa0f5237118a0c5e496185cafa92878568b652a2e9a9382a5151b1a0380a43 \ - --hash=sha256:04e78dd0b6352db95507fd8cb46f39d185cf8c74e4cf1e4fbad1d3df96faf510 \ - --hash=sha256:059098c3a429f62fc98e8ec62b982230ef2c8df68c79e826e37b895bc359a9c0 \ - --hash=sha256:08af70fd77eee58549cd69c25055dc344f918d992ff626068242259f98d598a2 \ - --hash=sha256:0b495de0bb386df6a12b18335a0285dda90260f51bdb505503c02bcd1ce27a8b \ - --hash=sha256:130e4876309e8686a5e37dba7d5e9bc77e6ed908266996ca26572437a5271e18 \ - --hash=sha256:14e0b1fe858430fc0251737ef3824c54027bedb8c37c38114488b8e131cf8219 \ - --hash=sha256:17ef139237dfced9da49fb7f2232c86ca9421f666d78c264c7ffca6601d154c3 \ - --hash=sha256:1a0bb430adb19ef49389e1ad368450193a90038b5b752f4ac089ec6942c4dff4 \ - --hash=sha256:1db5d7ae38ff20153d542460752ff397fcf5c96090c1230803713cf3147a6803 \ - --hash=sha256:28475ddbde92df1874b6c5c8aaeb24ad5be47a11f87cde5a28ef3835932e3e94 \ - --hash=sha256:2edc3553362b1c38d9f06242416a5d8e9fe235c204a4072e988ce2e5bb1f69f6 \ - --hash=sha256:30f7da3fb3f2844259cba4720c3fc7138eb0f7b659c38f3bfa65084c7fc7abce \ - --hash=sha256:311ff15a0bae3714ffb603e6ba6dbfba4065ab60865d15a6ec544133bdb21099 \ - --hash=sha256:319b27255aacd9923b8a276bb14d21a5f7ff82564c744235fc5eae58d95422ae \ - --hash=sha256:35c53bd62a0b885bf653ebf6b700d1bf05debb78ad9292cf2a942b23513dc4c4 \ - --hash=sha256:36193ed342f5b9842edd3532729a2ad55c4160ffcfa3700e0d54be496b70dd43 \ - --hash=sha256:39574d6370c4579d7f5d0ad940ce5b20db0e4117444e39b6d8f99db5676c52fd \ - --hash=sha256:399600947b170270e80134ac854e21b3ccdefa11a9529a3decc1327088180f10 \ - --hash=sha256:3a476189be23c3686bc2f4321dd501cb329c0a0469e77b7b534ee10129ae6374 \ - --hash=sha256:3ad9fe1dae4ab4212d8c91e80b832425e24f421703b5a42ef2e4a1e215aff051 \ - --hash=sha256:3bc570d6c01c206c46deb6e935a260be44f186a2f05179f52f7fcd2be086a94d \ - --hash=sha256:3dbd8cbadd46984f802f6d479b7e3afa86c42d13e8f0f322d669d79722c8ec34 \ - --hash=sha256:3e6f39af2eab0118338902798b5aa6664f46ff66bc0280de76fca67a7f262a49 \ - --hash=sha256:3f53fa183d53a1d7a8852277c92b967ae99c2d4dcee2bfacff8868e6e30b15f7 \ - --hash=sha256:3f6d37644155fb5beca5378feb8c1708d5783145f2a0f1c4d5a061a210254844 \ - --hash=sha256:3f7eb7da0eb23aa2ba036d4f616d46906013a68caf61b7fdbe42fc8b25132e77 \ - --hash=sha256:3fa0b59c92278b5a7800d3ee7733da9d096d4aabcfabb9a928918bd276ef9b9b \ - --hash=sha256:421e29339983e1bebc281fab40d812742268ad057db4aee8c4d2bce0af43b741 \ - --hash=sha256:4b943d3668d61cfa528eb949577479d3b077fd25fb83c641235437bc0b5bc60e \ - --hash=sha256:526e86aced14a65a5b0ec50827c745597c782ff46b571dbfe46192ab9e0b3c33 \ - --hash=sha256:52e06553899e11e8074503c8e716d574adeeb7e68913115c4b3653c53f9bae42 \ - 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--hash=sha256:f28b2725eb8cce327b9b3ab02415c853011dc55c95832fe90de6bc56f5315f72 \ + --hash=sha256:f88af53d6ddaf72179ef613ddc905e6f4785f712b49b80b3bef9f3525e6194b4 \ + --hash=sha256:faea288b6f0ab1902ef08f4ca6de005dccf856c4e0c4f21b8c5fce02d90a1b08 \ + --hash=sha256:fff610d7bb2256a317bb1e96f0d7862c7aa8076733ee5df0fd41bbe76a24a4f4 # via uvicorn websocket-client==1.9.0 \ --hash=sha256:9e813624b6eb619999a97dc7958469217c3176312b3a16a4bd1bc7e08a46ec98 \ diff --git a/sdk/python/requirements/py3.12-requirements.txt b/sdk/python/requirements/py3.12-requirements.txt index 7e85eaec765..d46a6b09d33 100644 --- a/sdk/python/requirements/py3.12-requirements.txt +++ b/sdk/python/requirements/py3.12-requirements.txt @@ -14,38 +14,40 @@ anyio==4.13.0 \ # via # starlette # watchfiles -ast-serialize==0.4.0 \ - --hash=sha256:074032142777e3e6091977dc3c5146a8ca58ae6825b7f64e9a0b604153ddabd8 \ - --hash=sha256:1026f565a7ab846337c630909089b3346a2fe417bf1552b1581ab01852137407 \ - --hash=sha256:1c5245228e65d38cb48e1251f0ca71b0fa417e527141491e8c92f740e8e2d121 \ - --hash=sha256:1e1fb90def261f6a0db885876f7e1a49ad2dbac38ad9f2f62dba2f9543af16e7 \ - --hash=sha256:3bdde2c4570143791f636aed4e3ef868f5b46eb90a18f8d5c41dd045aab08bef \ - --hash=sha256:404f3462b4532e13a70b8849bba241dbd82e30043ff58d98c7e762fd925b116a \ - --hash=sha256:43729a5e369ebbe7750635c0c206bc616fcd36e703cb9c4497d6b4df0291ee64 \ - --hash=sha256:4738790cf54d8b416de992b87ee567056980bc82134d52458bd4985f389d1658 \ - --hash=sha256:4db9769d57deb5545ce56ebbbbe3436dcc0ae2688ce14c295cd14e106624ece7 \ - --hash=sha256:6551d55b8607b97a7755683d743200b398c61a0b71a11b7f00c89c335a11d0f4 \ - --hash=sha256:6615b39cd747967c3aabe68bf3f5f26748e823cc6b474ddc1510ed188a824149 \ - --hash=sha256:70d9c5d527bbfa69bd3c7d17dac11fb6781e36186a434a06d7d5892e0b2f88f9 \ - --hash=sha256:7234ff086cb152ea2a3b7ef895b5ebeb6d80779df049d5c6431c8e3536d5b03c \ - --hash=sha256:732b4ef76adcb0f298a7d18c4558336d83b1384f9ae0c7eaa1dc8d031b0a4390 \ - --hash=sha256:74e4e634ab82d1466acf0be27043178570b98ebeaa3165f9240a6fad4c286471 \ - --hash=sha256:79c8d015c771c8bfdb1208003b227b27c40034790a2c29c09f2317a041825ce2 \ - --hash=sha256:7fba7315fd4bd87cb5560792709f6e66e0606402d362c0a38dd32dfb66ba6066 \ - --hash=sha256:8f5153e9c44a02e61f4042c5f9249d2e8a759773d621a0b2f445a899e536e181 \ - --hash=sha256:905fc11940831454d93589bd7ce2acb6a5eb01c2936156f751d2a21087c98cd3 \ - --hash=sha256:90fc5c0d35a22f1a92dd33635508626d50f8fc64deb897c23e78e666a60804c9 \ - --hash=sha256:91362c0a9fdf1c344b7f50a5b0508b11a0732102998fbd754a191f7187e77031 \ - --hash=sha256:91d3786f3929786cdc4eeedfd110abb4603e7f6c1390c5af398f333a947b742d \ - --hash=sha256:97c55336e16f5c4ca2bde7be94cca4b8f7d665d64f7008925a82e02707ba14ac \ - --hash=sha256:9ecd6a1fc1b86f1f4e8ae206759b6319c10019706b3496b01b54d02b9b2cd918 \ - --hash=sha256:a6f26937ce0293aafbece0e39019e020369a5a70486ff4088227f0cc888844a9 \ - --hash=sha256:b3db87c4772097c0782250bcd550d66b1189a8c889793c7bcf153f4fee70005c \ - --hash=sha256:bd50d201098aae0d202805fe9606c0545492f69a3ec4403337e32c54ad29fc41 \ - --hash=sha256:cf2ff7b654c8e95143e20f5d75878cbb78b65b928b26c4d58ef71cdba9d6d981 \ - --hash=sha256:dcd04f85a29deb80400e8987cfaceb9907140f763453cbffdbd6ff36f1b32c12 \ - --hash=sha256:dcded5056d9f3d201df7833082c07ebcbc566ffc3d4105c9fc9fe278fa086ecb \ - --hash=sha256:faa008dccfcb793ae9101325e4d6d026caaa5d845c2182f03749c759834b0a3a +ast-serialize==0.5.0 \ + --hash=sha256:061ee58bdb52341c8201a6df41182a977736bae3b7ded87ca7176ca25a8a47ab \ + --hash=sha256:0668aa9459cfa8c9c49ddd2163ebcf43088ba045ef7492af6fe22e0098303101 \ + --hash=sha256:104e4a35bd7c124173c41760ef9aaea17ddb3f86c65cb643671d59afbe3ee94c \ + --hash=sha256:143a4ef63285a075871908fda3672dc21864b83a8ec3ee12304aa3e4c5387b9a \ + --hash=sha256:16db7c62ec0b8efe1d7afd283a388d8f74f2605d56032e5a37747d2de8dba027 \ + --hash=sha256:1943db345233cc7194a470f13afa9c59772c0b123dea0c9414c4d4ca54369759 \ + --hash=sha256:239a4c354e8d676e9d94631d1d4a64edc6b266f86ff3a5a80aedd344f342c01d \ + --hash=sha256:2782c36237c46dd1674542f2109740ea5ea485a169bf1431939ada0434e17934 \ + --hash=sha256:27d51654fc240a1e87e742d353d98eb45b75f62f129086b3596ab53df2ac2a43 \ + --hash=sha256:36be371028fc1675acb38a331bde160dbab7ff907fdf00b67eb6911aa106951b \ + --hash=sha256:5499e8797edff2a9186aa313ed382c6b422e798e9332d9953badcee6e69a88f2 \ + --hash=sha256:5880091bfe6f4f986f22866375c2e884843e7a0b6343ae41aeea659613d879b6 \ + --hash=sha256:6848f2a093fb5548751a9a09bff8fcd229e2bbeb0e3331f391b6ae6d26cd9903 \ + --hash=sha256:787baedb0262cc49e8ce37cc15c00ae818e46a165a3b36f5e21ed174998104cb \ + --hash=sha256:7d1a2de9de5be04652f0ed60738356ef94f66db37924a9499fffe98dc491aa0b \ + --hash=sha256:832d4c998e0b091fd60a6d6bceee535483c4d490de9ba85003af835225719261 \ + --hash=sha256:842d1c004bb466c7df036f95fabef789570541922b10976b12f5592a69cf0b38 \ + --hash=sha256:8f5c14f169eb0972c0c21bada5358b23d6047c76583b005234f865b11f1fa00a \ + --hash=sha256:92a31c9c20d25a076edaeec76b128a3535d74a24f340b9a8a7e96c9b86dc9642 \ + --hash=sha256:9cc22cf0c9be65e71cf88fda130af60d61eb4a79370ad4cfe7900d48a4aa2211 \ + --hash=sha256:b0c06d760909b095cc466356dfccd05a1c7233a6ca191c020dca2c6a6f16c24c \ + --hash=sha256:b15219e9cdc9f53f6f4cb51c009203507228226148c05c5e8fe451c28b435eb3 \ + --hash=sha256:b54f60c1d78767a53b67eaa663f0dfac3afe606aa07f1301572f588b73d64809 \ + --hash=sha256:b725026bafa801dbd7310eb13a75f0a2e370e7e51b2cb225f9d21fcfadf919ee \ + --hash=sha256:baf5eb061eb5bccade4128ad42da33787d72f6013809cd1b590376ece8b3c937 \ + --hash=sha256:be5173fb66f9b49026d9d5a2ff0fc7c7009077107c0eb285b2d60fdf1fe10bd1 \ + --hash=sha256:bf683d6363edf2b39eed6b6d4fe22d34b6203867a67e27134d9e2a2680c4bc4a \ + --hash=sha256:cae65289fc456fde04af979a2be09302ef5d8ab92ef23e596d6746dc267ada27 \ + --hash=sha256:cf25572c526add400f26a4750dc6ce0c3bb93fc1f75e7ae0cad4ce4f2cd5c590 \ + --hash=sha256:df1c00022cbbcb064bfaa505aa9c9295362443ce5dacb459d1331d3da353f887 \ + --hash=sha256:e42d729ef2be96a14efbad355093284739e3670ece3e534f82cc8832790911d9 \ + --hash=sha256:f66173891548c9f2726bf27957b41cabce12fa679dc6da505ddbde4d4b3b31cf \ + --hash=sha256:f8015cd071ac1339924ee2b8098c93e00e155f30a16f40ec9816fcf84f4753f6 # via mypy attrs==26.1.0 \ --hash=sha256:c647aa4a12dfbad9333ca4e71fe62ddc36f4e63b2d260a37a8b83d2f043ac309 \ @@ -192,9 +194,9 @@ charset-normalizer==3.4.7 \ --hash=sha256:fbccdc05410c9ee21bbf16a35f4c1d16123dcdeb8a1d38f33654fa21d0234f79 \ --hash=sha256:fea24543955a6a729c45a73fe90e08c743f0b3334bbf3201e6c4bc1b0c7fa464 # via requests -click==8.3.3 \ - --hash=sha256:398329ad4837b2ff7cbe1dd166a4c0f8900c3ca3a218de04466f38f6497f18a2 \ - --hash=sha256:a2bf429bb3033c89fa4936ffb35d5cb471e3719e1f3c8a7c3fff0b8314305613 +click==8.4.0 \ + --hash=sha256:40c50b7c6c6adac2823d411041ec84f3f103f1b280d5e9ce0d7f998995832f81 \ + --hash=sha256:638f1338fe1235c8f4e008e4a8a254fb5c5fbdcbb40ece3c9142ebb78e792973 # via # feast (pyproject.toml) # dask @@ -642,79 +644,79 @@ mypy-extensions==1.1.0 \ --hash=sha256:1be4cccdb0f2482337c4743e60421de3a356cd97508abadd57d47403e94f5505 \ --hash=sha256:52e68efc3284861e772bbcd66823fde5ae21fd2fdb51c62a211403730b916558 # via mypy -numpy==2.4.4 \ - --hash=sha256:07077278157d02f65c43b1b26a3886bce886f95d20aabd11f87932750dfb14ed \ - --hash=sha256:08f2e31ed5e6f04b118e49821397f12767934cfdd12a1ce86a058f91e004ee50 \ - --hash=sha256:0aec54fd785890ecca25a6003fd9a5aed47ad607bbac5cd64f836ad8666f4959 \ - --hash=sha256:0d35aea54ad1d420c812bfa0385c71cd7cc5bcf7c65fed95fc2cd02fe8c79827 \ - --hash=sha256:0d4e437e295f18ec29bc79daf55e8a47a9113df44d66f702f02a293d93a2d6dd \ - --hash=sha256:0dfd3f9d3adbe2920b68b5cd3d51444e13a10792ec7154cd0a2f6e74d4ab3233 \ - --hash=sha256:1378871da56ca8943c2ba674530924bb8ca40cd228358a3b5f302ad60cf875fc \ - --hash=sha256:15716cfef24d3a9762e3acdf87e27f58dc823d1348f765bbea6bef8c639bfa1b \ - --hash=sha256:19710a9ca9992d7174e9c52f643d4272dcd1558c5f7af7f6f8190f633bd651a7 \ - --hash=sha256:23cbfd4c17357c81021f21540da84ee282b9c8fba38a03b7b9d09ba6b951421e \ - --hash=sha256:2483e4584a1cb3092da4470b38866634bafb223cbcd551ee047633fd2584599a \ - --hash=sha256:27a8d92cd10f1382a67d7cf4db7ce18341b66438bdd9f691d7b0e48d104c2a9d \ - --hash=sha256:28a650663f7314afc3e6ec620f44f333c386aad9f6fc472030865dc0ebb26ee3 \ - --hash=sha256:2aa0613a5177c264ff5921051a5719d20095ea586ca88cc802c5c218d1c67d3e \ - --hash=sha256:2c194dd721e54ecad9ad387c1d35e63dce5c4450c6dc7dd5611283dda239aabb \ - --hash=sha256:2d19e6e2095506d1736b7d80595e0f252d76b89f5e715c35e06e937679ea7d7a \ - --hash=sha256:2d390634c5182175533585cc89f3608a4682ccb173cc9bb940b2881c8d6f8fa0 \ - --hash=sha256:30caa73029a225b2d40d9fae193e008e24b2026b7ee1a867b7ee8d96ca1a448e \ - --hash=sha256:42c16925aa5a02362f986765f9ebabf20de75cdefdca827d14315c568dcab113 \ - --hash=sha256:45dbed2ab436a9e826e302fcdcbe9133f9b0006e5af7168afb8963a6520da103 \ - --hash=sha256:4636de7fd195197b7535f231b5de9e4b36d2c440b6e566d2e4e4746e6af0ca93 \ - --hash=sha256:4a19d9dba1a76618dd86b164d608566f393f8ec6ac7c44f0cc879011c45e65af \ - --hash=sha256:4bbc7f303d125971f60ec0aaad5e12c62d0d2c925f0ab1273debd0e4ba37aba5 \ - --hash=sha256:4d6d57903571f86180eb98f8f0c839fa9ebbfb031356d87f1361be91e433f5b7 \ - --hash=sha256:4e874c976154687c1f71715b034739b45c7711bec81db01914770373d125e392 \ - --hash=sha256:51fc224f7ca4d92656d5a5eb315f12eb5fe2c97a66249aa7b5f562528a3be38c \ - --hash=sha256:58c8b5929fcb8287cbd6f0a3fae19c6e03a5c48402ae792962ac465224a629a4 \ - --hash=sha256:5a285b3b96f951841799528cd1f4f01cd70e7e0204b4abebac9463eecfcf2a40 \ - --hash=sha256:5c70f1cc1c4efbe316a572e2d8b9b9cc44e89b95f79ca3331553fbb63716e2bf \ - --hash=sha256:62d6b0f03b694173f9fcb1fb317f7222fd0b0b103e784c6549f5e53a27718c44 \ - --hash=sha256:6a246d5914aa1c820c9443ddcee9c02bec3e203b0c080349533fae17727dfd1b \ - --hash=sha256:6aa3236c78803afbcb255045fbef97a9e25a1f6c9888357d205ddc42f4d6eba5 \ - --hash=sha256:6bbe4eb67390b0a0265a2c25458f6b90a409d5d069f1041e6aff1e27e3d9a79e \ - --hash=sha256:715d1c092715954784bc79e1174fc2a90093dc4dc84ea15eb14dad8abdcdeb74 \ - --hash=sha256:72944b19f2324114e9dc86a159787333b77874143efcf89a5167ef83cfee8af0 \ - --hash=sha256:81f4a14bee47aec54f883e0cad2d73986640c1590eb9bfaaba7ad17394481e6e \ - --hash=sha256:846300f379b5b12cc769334464656bc882e0735d27d9726568bc932fdc49d5ec \ - --hash=sha256:86b6f55f5a352b48d7fbfd2dbc3d5b780b2d79f4d3c121f33eb6efb22e9a2015 \ - --hash=sha256:874f200b2a981c647340f841730fc3a2b54c9d940566a3c4149099591e2c4c3d \ - --hash=sha256:8a87ec22c87be071b6bdbd27920b129b94f2fc964358ce38f3822635a3e2e03d \ - --hash=sha256:8b3b60bb7cba2c8c81837661c488637eee696f59a877788a396d33150c35d842 \ - --hash=sha256:8e3ed142f2728df44263aaf5fb1f5b0b99f4070c553a0d7f033be65338329150 \ - --hash=sha256:93e15038125dc1e5345d9b5b68aa7f996ec33b98118d18c6ca0d0b7d6198b7e8 \ - --hash=sha256:989824e9faf85f96ec9c7761cd8d29c531ad857bfa1daa930cba85baaecf1a9a \ - --hash=sha256:99d838547ace2c4aace6c4f76e879ddfe02bb58a80c1549928477862b7a6d6ed \ - 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--hash=sha256:dddbbd259598d7240b18c9d87c56a9d2fb3b02fe266f49a7c101532e78c1d871 \ - --hash=sha256:df3775294accfdd75f32c74ae39fcba920c9a378a2fc18a12b6820aa8c1fb502 \ - --hash=sha256:e44319a2953c738205bf3354537979eaa3998ed673395b964c1176083dd46252 \ - --hash=sha256:e4a010c27ff6f210ff4c6ef34394cd61470d01014439b192ec22552ee867f2a8 \ - --hash=sha256:e823b8b6edc81e747526f70f71a9c0a07ac4e7ad13020aa736bb7c9d67196115 \ - --hash=sha256:e892aff75639bbef0d2a2cfd55535510df26ff92f63c92cd84ef8d4ba5a5557f \ - --hash=sha256:eea7ac5d2dce4189771cedb559c738a71512768210dc4e4753b107a2048b3d0e \ - --hash=sha256:ef4059d6e5152fa1a39f888e344c73fdc926e1b2dd58c771d67b0acfbf2aa67d \ - --hash=sha256:f169b9a863d34f5d11b8698ead99febeaa17a13ca044961aa8e2662a6c7766a0 \ - --hash=sha256:f2cf083b324a467e1ab358c105f6cad5ea950f50524668a80c486ff1db24e119 \ - --hash=sha256:f8474c4241bc18b750be2abea9d7a9ec84f46ef861dbacf86a4f6e043401f79e \ - --hash=sha256:f983334aea213c99992053ede6168500e5f086ce74fbc4acc3f2b00f5762e9db \ - 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--hash=sha256:d8e8286dd7cea7895157318d1b91cdacac64c479f3cbc8dce548331728484751 \ + --hash=sha256:ddea102b48f9e339f3948bf22040944184627a30fdf7f858667673b9c5f033c8 \ + --hash=sha256:dfa20cc6ca228e6b155b11da03825975ce66aea520985dbbddf0f2a5a495c605 \ + --hash=sha256:e3e5193ef5a3dc73bceee50f7fdc2c90dbb76c42df8d8fae3d1067a583df579e \ + --hash=sha256:e3eeb0aabd6bd5ce64faae67e9935203a6991b4bc2a485a767fbafb2c5125f45 \ + --hash=sha256:e5805d5a22fd19c8ccff10a9561f9df94436b0545619ea579db2d3c35294bce2 \ + --hash=sha256:e85b752a1e912b70eaad4fafbd4d1238007ab221de2009b9a2f5ae7461239895 \ + --hash=sha256:eaf7fa2de5c0be8ae6ff8e9bea2ccd725e980541244521d8d4b5f3354a27babe \ + --hash=sha256:ebfb099f8dcf083deef3ac1ca4c1503f387cf76296fcb3816b66f5ecb5f54fdb \ + --hash=sha256:ece3d2cfe132e7d51f44a832b303895e6f2d499c5e74dfbdb06ee246147a304a \ + --hash=sha256:ed9749eef4cbd126da3dc1d6bcb3a57f5eb7ac6a6484146bdbf743f552dfc577 \ + --hash=sha256:ede83e07a75dd06bc501566c1eca2afc0d61677c1472ac9ad93fdee6e638a48d \ + --hash=sha256:ef4aea96ce4d3b074422cb4f2f64e216bf9e213004bb58ecfdf50ea02ea8eb9a \ + --hash=sha256:f3a3570c4a2a16746ac2c31a7c7c7b0c186b95ce902e33db6f28094ed7387dda \ + --hash=sha256:f407cb6b8e9d6d8c626bc73c945db1706035af8fd632295547bf1c9e46d092d6 \ + --hash=sha256:f74a575920ab21fe304421a3fc28793d82e299cae9eccb37084e9fc7f3617c20 # via # feast (pyproject.toml) # dask @@ -1426,116 +1428,114 @@ uvloop==0.22.1 \ --hash=sha256:ef6f0d4cc8a9fa1f6a910230cd53545d9a14479311e87e3cb225495952eb672c \ --hash=sha256:fe94b4564e865d968414598eea1a6de60adba0c040ba4ed05ac1300de402cd42 # via uvicorn -watchfiles==1.1.1 \ - --hash=sha256:00485f441d183717038ed2e887a7c868154f216877653121068107b227a2f64c \ - --hash=sha256:03fa0f5237118a0c5e496185cafa92878568b652a2e9a9382a5151b1a0380a43 \ - --hash=sha256:04e78dd0b6352db95507fd8cb46f39d185cf8c74e4cf1e4fbad1d3df96faf510 \ - --hash=sha256:059098c3a429f62fc98e8ec62b982230ef2c8df68c79e826e37b895bc359a9c0 \ - 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--hash=sha256:eb283ee99e21ad6443c8cdb06ac5b34b1308c329cbdf03fa02b445363714c799 \ + --hash=sha256:eb72919d93e3a16fc451d3aa3d4b1698423daca1b382d3d959c9ac51297c12a8 \ + --hash=sha256:ecb47f183a8025b2aa18b546725c3657e542112ae9c0613a2af79b4fa8d04ad7 \ + --hash=sha256:f155b3a1b2a5fc89cdc70d47ee5d54e3b75e88efa34982028a35daef9ba00379 \ + --hash=sha256:f22943b7770483f6ea0721c6b11d022947a98eb0acae14694de034f4d0d38925 \ + --hash=sha256:f28b2725eb8cce327b9b3ab02415c853011dc55c95832fe90de6bc56f5315f72 \ + --hash=sha256:f88af53d6ddaf72179ef613ddc905e6f4785f712b49b80b3bef9f3525e6194b4 \ + --hash=sha256:faea288b6f0ab1902ef08f4ca6de005dccf856c4e0c4f21b8c5fce02d90a1b08 \ + --hash=sha256:fff610d7bb2256a317bb1e96f0d7862c7aa8076733ee5df0fd41bbe76a24a4f4 # via uvicorn websockets==16.0 \ --hash=sha256:0298d07ee155e2e9fda5be8a9042200dd2e3bb0b8a38482156576f863a9d457c \ diff --git a/sdk/python/tests/integration/test_mlflow_integration.py b/sdk/python/tests/integration/test_mlflow_integration.py new file mode 100644 index 00000000000..a5c07c965b0 --- /dev/null +++ b/sdk/python/tests/integration/test_mlflow_integration.py @@ -0,0 +1,1108 @@ +# Copyright 2026 The Feast Authors +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# https://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import json +import os +from datetime import datetime, timedelta + +import numpy as np +import pandas as pd +import pytest + +from feast import Entity, FeatureService, FeatureStore, FeatureView, Field, FileSource +from feast.infra.online_stores.sqlite import SqliteOnlineStoreConfig +from feast.repo_config import RepoConfig +from feast.types import Float32, Int64 + +mlflow = pytest.importorskip("mlflow", reason="mlflow is not installed") +from mlflow.tracking import MlflowClient # noqa: E402 + +import feast.mlflow # noqa: E402 +from feast.mlflow_integration import ( # noqa: E402 + FeastMlflowEntityDfError, + FeastMlflowModelResolutionError, + MlflowConfig, +) +from feast.mlflow_integration.config import ( # noqa: E402 + MLFLOW_TAG_TRUNCATION_LIMIT, + resolve_tracking_uri, +) + +# --------------------------------------------------------------------------- +# Fixtures +# --------------------------------------------------------------------------- + + +@pytest.fixture(autouse=True) +def _isolate_mlflow_globals(): + """Reset module-level mlflow caching between tests.""" + feast.mlflow._client = None + feast.mlflow._registered_store = None + yield + + +@pytest.fixture() +def tracking_uri(tmp_path): + uri = str(tmp_path / "mlruns") + mlflow.set_tracking_uri(uri) + mlflow.set_experiment("test_mlflow") + yield uri + mlflow.set_tracking_uri("") + + +@pytest.fixture() +def driver_parquet(tmp_path): + data_dir = tmp_path / "data" + data_dir.mkdir() + + end = datetime.now().replace(microsecond=0, second=0, minute=0) + start = end - timedelta(days=7) + timestamps = pd.date_range(start, end, freq="h") + driver_ids = [1001, 1002, 1003] + + np.random.seed(42) + rows = [ + { + "driver_id": did, + "event_timestamp": ts, + "created": ts, + "conv_rate": float(np.random.uniform(0, 1)), + "acc_rate": float(np.random.uniform(0, 1)), + "avg_daily_trips": int(np.random.randint(1, 100)), + } + for ts in timestamps + for did in driver_ids + ] + df = pd.DataFrame(rows) + path = str(data_dir / "driver_stats.parquet") + df.to_parquet(path) + return tmp_path, path + + +@pytest.fixture() +def feast_objects(driver_parquet): + _, parquet_path = driver_parquet + + driver = Entity(name="driver", join_keys=["driver_id"]) + source = FileSource( + name="driver_stats_source", + path=parquet_path, + timestamp_field="event_timestamp", + created_timestamp_column="created", + ) + fv = FeatureView( + name="driver_hourly_stats", + entities=[driver], + ttl=timedelta(days=7), + schema=[ + Field(name="conv_rate", dtype=Float32), + Field(name="acc_rate", dtype=Float32), + Field(name="avg_daily_trips", dtype=Int64), + ], + online=True, + source=source, + ) + fs = FeatureService(name="driver_activity_v1", features=[fv]) + return driver, source, fv, fs + + +def _make_store( + tmp_path, + tracking_uri, + *, + enabled=True, + auto_log=True, + auto_log_entity_df=True, + entity_df_max_rows=100_000, +): + data_dir = tmp_path / "data" + data_dir.mkdir(exist_ok=True) + + config = RepoConfig( + project="test_mlflow", + provider="local", + registry=str(data_dir / "registry.db"), + online_store=SqliteOnlineStoreConfig(path=str(data_dir / "online.db")), + entity_key_serialization_version=3, + mlflow=MlflowConfig( + enabled=enabled, + tracking_uri=tracking_uri, + auto_log=auto_log, + auto_log_entity_df=auto_log_entity_df, + entity_df_max_rows=entity_df_max_rows, + ), + ) + return FeatureStore(config=config) + + +@pytest.fixture() +def store_enabled(driver_parquet, tracking_uri, feast_objects): + tmp_path, _ = driver_parquet + store = _make_store(tmp_path, tracking_uri) + store.apply(list(feast_objects)) + store.materialize( + start_date=datetime.now() - timedelta(days=7), + end_date=datetime.now(), + ) + return store + + +@pytest.fixture() +def entity_df(): + np.random.seed(42) + n = 50 + return pd.DataFrame( + { + "driver_id": np.random.choice([1001, 1002, 1003], n), + "event_timestamp": [ + datetime.now() - timedelta(hours=i % 48) for i in range(n) + ], + "label": np.random.randint(0, 2, n), + } + ) + + +class TestMlflowConfig: + @pytest.mark.integration + def test_defaults(self): + cfg = MlflowConfig() + assert cfg.enabled is False + assert cfg.auto_log is True + assert cfg.auto_log_entity_df is False + assert cfg.entity_df_max_rows == 100_000 + assert cfg.tracking_uri is None + + @pytest.mark.integration + def test_get_tracking_uri_explicit(self): + cfg = MlflowConfig(tracking_uri="http://example.com:5000") + assert cfg.get_tracking_uri() == "http://example.com:5000" + + @pytest.mark.integration + def test_get_tracking_uri_env_fallback(self, monkeypatch): + monkeypatch.setenv("MLFLOW_TRACKING_URI", "http://env-uri:5000") + cfg = MlflowConfig() + assert cfg.get_tracking_uri() == "http://env-uri:5000" + + @pytest.mark.integration + def test_get_tracking_uri_none_when_unset(self, monkeypatch): + monkeypatch.delenv("MLFLOW_TRACKING_URI", raising=False) + cfg = MlflowConfig() + assert cfg.get_tracking_uri() is None + + @pytest.mark.integration + def test_resolve_tracking_uri_priority(self, monkeypatch): + monkeypatch.setenv("MLFLOW_TRACKING_URI", "http://env:5000") + assert resolve_tracking_uri("http://explicit:5000") == "http://explicit:5000" + assert resolve_tracking_uri(None) == "http://env:5000" + monkeypatch.delenv("MLFLOW_TRACKING_URI") + assert resolve_tracking_uri(None) is None + + +class TestLogFeatureRetrieval: + @pytest.mark.integration + def test_logs_all_tags_and_metric(self, store_enabled, tracking_uri): + client = MlflowClient(tracking_uri=tracking_uri) + refs = [ + "driver_hourly_stats:conv_rate", + "driver_hourly_stats:acc_rate", + "transformed:conv_rate_plus_val1", + ] + + with mlflow.start_run(run_name="test_tags") as run: + result = store_enabled.mlflow.log_feature_retrieval( + feature_refs=refs, + entity_count=200, + duration_seconds=0.1234, + retrieval_type="historical", + feature_service_name="driver_activity_v1", + ) + + assert result is True + data = client.get_run(run.info.run_id) + tags = data.data.tags + + assert tags["feast.project"] == "test_mlflow" + assert tags["feast.retrieval_type"] == "historical" + assert tags["feast.feature_service"] == "driver_activity_v1" + assert tags["feast.entity_count"] == "200" + assert tags["feast.feature_count"] == "3" + assert "driver_hourly_stats" in tags["feast.feature_views"] + assert "transformed" in tags["feast.feature_views"] + assert "driver_hourly_stats:conv_rate" in tags["feast.feature_refs"] + assert data.data.metrics["feast.job_submission_sec"] == 0.1234 + + @pytest.mark.integration + def test_noop_without_active_run(self, store_enabled, tracking_uri): + result = store_enabled.mlflow.log_feature_retrieval( + feature_refs=["fv:feat"], + entity_count=1, + duration_seconds=0.01, + ) + assert result is False + + @pytest.mark.integration + def test_feature_views_sorted_and_deduped(self, store_enabled, tracking_uri): + client = MlflowClient(tracking_uri=tracking_uri) + refs = ["z_view:f1", "a_view:f2", "z_view:f3", "a_view:f4"] + + with mlflow.start_run() as run: + store_enabled.mlflow.log_feature_retrieval( + feature_refs=refs, + entity_count=1, + duration_seconds=0.01, + ) + + tags = client.get_run(run.info.run_id).data.tags + assert tags["feast.feature_views"] == "a_view,z_view" + + @pytest.mark.integration + def test_truncation_for_long_refs(self, store_enabled, tracking_uri): + client = MlflowClient(tracking_uri=tracking_uri) + refs = [f"fv:feature_{i:04d}" for i in range(500)] + + with mlflow.start_run() as run: + store_enabled.mlflow.log_feature_retrieval( + feature_refs=refs, + entity_count=1, + duration_seconds=0.01, + ) + + tags = client.get_run(run.info.run_id).data.tags + assert len(tags["feast.feature_refs"]) <= MLFLOW_TAG_TRUNCATION_LIMIT + assert tags["feast.feature_refs"].endswith("...") + + @pytest.mark.integration + def test_no_feature_service_tag_when_none(self, store_enabled, tracking_uri): + client = MlflowClient(tracking_uri=tracking_uri) + + with mlflow.start_run() as run: + store_enabled.mlflow.log_feature_retrieval( + feature_refs=["fv:f1"], + entity_count=1, + duration_seconds=0.01, + feature_service=None, + feature_service_name=None, + ) + + tags = client.get_run(run.info.run_id).data.tags + assert "feast.feature_service" not in tags + + +class TestLogTrainingDataset: + @pytest.mark.integration + def test_logs_dataset_input(self, store_enabled, tracking_uri): + client = MlflowClient(tracking_uri=tracking_uri) + df = pd.DataFrame({"a": [1, 2], "b": [3, 4]}) + + with mlflow.start_run() as run: + result = store_enabled.mlflow.log_training_dataset( + df, dataset_name="test_ds" + ) + + assert result is True + run_data = client.get_run(run.info.run_id) + assert len(run_data.inputs.dataset_inputs) > 0 + assert run_data.inputs.dataset_inputs[0].dataset.name == "test_ds" + + @pytest.mark.integration + def test_noop_without_active_run(self, store_enabled, tracking_uri): + df = pd.DataFrame({"a": [1]}) + assert store_enabled.mlflow.log_training_dataset(df) is False + + +class TestHistoricalAutoLog: + @pytest.mark.integration + def test_tags_logged_via_feature_service( + self, store_enabled, entity_df, tracking_uri + ): + client = MlflowClient(tracking_uri=tracking_uri) + + with mlflow.start_run(run_name="hist_fs") as run: + store_enabled.get_historical_features( + features=store_enabled.get_feature_service("driver_activity_v1"), + entity_df=entity_df, + ).to_df() + + data = client.get_run(run.info.run_id) + tags = data.data.tags + + assert tags["feast.project"] == "test_mlflow" + assert tags["feast.retrieval_type"] == "historical" + assert tags["feast.feature_service"] == "driver_activity_v1" + assert "driver_hourly_stats" in tags["feast.feature_views"] + assert tags["feast.entity_count"] == str(len(entity_df)) + assert int(tags["feast.feature_count"]) >= 3 + assert data.data.metrics["feast.job_submission_sec"] >= 0 + + @pytest.mark.integration + def test_tags_logged_via_feature_refs(self, store_enabled, entity_df, tracking_uri): + client = MlflowClient(tracking_uri=tracking_uri) + + with mlflow.start_run(run_name="hist_refs") as run: + store_enabled.get_historical_features( + features=[ + "driver_hourly_stats:conv_rate", + "driver_hourly_stats:acc_rate", + ], + entity_df=entity_df, + ).to_df() + + tags = client.get_run(run.info.run_id).data.tags + assert tags["feast.retrieval_type"] == "historical" + assert tags["feast.feature_count"] == "2" + assert "driver_hourly_stats:conv_rate" in tags["feast.feature_refs"] + + @pytest.mark.integration + def test_entity_df_artifact_uploaded(self, store_enabled, entity_df, tracking_uri): + client = MlflowClient(tracking_uri=tracking_uri) + + with mlflow.start_run(run_name="hist_artifact") as run: + store_enabled.get_historical_features( + features=store_enabled.get_feature_service("driver_activity_v1"), + entity_df=entity_df, + ).to_df() + + artifacts = [a.path for a in client.list_artifacts(run.info.run_id)] + assert "entity_df.parquet" in artifacts + + tags = client.get_run(run.info.run_id).data.tags + assert tags["feast.entity_df_rows"] == str(len(entity_df)) + assert "driver_id" in tags["feast.entity_df_columns"] + assert "event_timestamp" in tags["feast.entity_df_columns"] + assert tags["feast.entity_df_type"] == "dataframe" + + @pytest.mark.integration + def test_entity_df_skipped_when_exceeds_max_rows( + self, driver_parquet, tracking_uri, feast_objects + ): + tmp_path, _ = driver_parquet + store = _make_store(tmp_path, tracking_uri, entity_df_max_rows=5) + store.apply(list(feast_objects)) + + client = MlflowClient(tracking_uri=tracking_uri) + entity_df = pd.DataFrame( + { + "driver_id": [1001] * 10, + "event_timestamp": [ + datetime.now() - timedelta(hours=i) for i in range(10) + ], + } + ) + + with mlflow.start_run(run_name="hist_skip") as run: + store.get_historical_features( + features=store.get_feature_service("driver_activity_v1"), + entity_df=entity_df, + ).to_df() + + artifacts = [a.path for a in client.list_artifacts(run.info.run_id)] + assert "entity_df.parquet" not in artifacts + tags = client.get_run(run.info.run_id).data.tags + assert tags["feast.entity_df_rows"] == "10" + + @pytest.mark.integration + def test_no_tags_without_active_run(self, store_enabled, entity_df): + result = store_enabled.get_historical_features( + features=store_enabled.get_feature_service("driver_activity_v1"), + entity_df=entity_df, + ).to_df() + assert len(result) == len(entity_df) + + +class TestOnlineAutoLog: + @pytest.mark.integration + def test_tags_logged_for_online_retrieval(self, store_enabled, tracking_uri): + client = MlflowClient(tracking_uri=tracking_uri) + + with mlflow.start_run(run_name="online") as run: + store_enabled.get_online_features( + features=store_enabled.get_feature_service("driver_activity_v1"), + entity_rows=[{"driver_id": 1001}, {"driver_id": 1002}], + ) + + data = client.get_run(run.info.run_id) + tags = data.data.tags + + assert tags["feast.retrieval_type"] == "online" + assert tags["feast.feature_service"] == "driver_activity_v1" + assert tags["feast.entity_count"] == "2" + assert int(tags["feast.feature_count"]) >= 3 + assert data.data.metrics["feast.job_submission_sec"] >= 0 + + @pytest.mark.integration + def test_entity_count_for_list_input(self, store_enabled, tracking_uri): + client = MlflowClient(tracking_uri=tracking_uri) + + with mlflow.start_run(run_name="online_list") as run: + store_enabled.get_online_features( + features=["driver_hourly_stats:conv_rate"], + entity_rows=[ + {"driver_id": 1001}, + {"driver_id": 1002}, + {"driver_id": 1003}, + ], + ) + + tags = client.get_run(run.info.run_id).data.tags + assert tags["feast.entity_count"] == "3" + + +class TestDisabledIntegration: + @pytest.mark.integration + def test_disabled_does_not_log( + self, driver_parquet, tracking_uri, feast_objects, entity_df + ): + tmp_path, _ = driver_parquet + store = _make_store(tmp_path, tracking_uri, enabled=False) + store.apply(list(feast_objects)) + + client = MlflowClient(tracking_uri=tracking_uri) + with mlflow.start_run(run_name="disabled") as run: + store.get_historical_features( + features=store.get_feature_service("driver_activity_v1"), + entity_df=entity_df, + ).to_df() + + tags = client.get_run(run.info.run_id).data.tags + assert "feast.project" not in tags + assert "feast.feature_service" not in tags + + @pytest.mark.integration + def test_auto_log_false_does_not_log( + self, driver_parquet, tracking_uri, feast_objects, entity_df + ): + tmp_path, _ = driver_parquet + store = _make_store(tmp_path, tracking_uri, enabled=True, auto_log=False) + store.apply(list(feast_objects)) + + client = MlflowClient(tracking_uri=tracking_uri) + with mlflow.start_run(run_name="no_auto_log") as run: + store.get_historical_features( + features=store.get_feature_service("driver_activity_v1"), + entity_df=entity_df, + ).to_df() + + tags = client.get_run(run.info.run_id).data.tags + assert "feast.project" not in tags + + @pytest.mark.integration + def test_auto_log_entity_df_false_skips_artifact( + self, driver_parquet, tracking_uri, feast_objects, entity_df + ): + tmp_path, _ = driver_parquet + store = _make_store(tmp_path, tracking_uri, auto_log_entity_df=False) + store.apply(list(feast_objects)) + + client = MlflowClient(tracking_uri=tracking_uri) + with mlflow.start_run(run_name="no_entity_df") as run: + store.get_historical_features( + features=store.get_feature_service("driver_activity_v1"), + entity_df=entity_df, + ).to_df() + + run_data = client.get_run(run.info.run_id).data + artifacts = [a.path for a in client.list_artifacts(run.info.run_id)] + assert "entity_df.parquet" not in artifacts + + assert "feast.entity_df_rows" in run_data.tags + assert run_data.tags["feast.entity_df_type"] == "dataframe" + assert run_data.tags["feast.feature_service"] == "driver_activity_v1" + + +class TestEntityDfBuilder: + @pytest.mark.integration + def test_roundtrip_parquet(self, store_enabled, entity_df, tracking_uri): + with mlflow.start_run(run_name="roundtrip") as run: + store_enabled.get_historical_features( + features=store_enabled.get_feature_service("driver_activity_v1"), + entity_df=entity_df, + ).to_df() + + recovered = store_enabled.mlflow.get_training_entity_df( + run_id=run.info.run_id, + ) + + assert recovered.shape == entity_df.shape + assert set(recovered.columns) == set(entity_df.columns) + assert "event_timestamp" in recovered.columns + + @pytest.mark.integration + def test_max_rows_limits_output(self, store_enabled, entity_df, tracking_uri): + with mlflow.start_run(run_name="max_rows") as run: + store_enabled.get_historical_features( + features=store_enabled.get_feature_service("driver_activity_v1"), + entity_df=entity_df, + ).to_df() + + recovered = store_enabled.mlflow.get_training_entity_df( + run_id=run.info.run_id, + max_rows=5, + ) + assert len(recovered) == 5 + + @pytest.mark.integration + def test_missing_artifact_raises(self, store_enabled, tracking_uri): + with mlflow.start_run(run_name="empty") as run: + mlflow.log_param("dummy", "value") + + with pytest.raises(FeastMlflowEntityDfError, match="No entity data found"): + store_enabled.mlflow.get_training_entity_df( + run_id=run.info.run_id, + ) + + @pytest.mark.integration + def test_nonexistent_run_raises(self, store_enabled, tracking_uri): + with pytest.raises(FeastMlflowEntityDfError, match="not found"): + store_enabled.mlflow.get_training_entity_df( + run_id="0000000000000000deadbeef00000000", + ) + + @pytest.mark.integration + def test_missing_timestamp_column_raises(self, store_enabled, tracking_uri): + df = pd.DataFrame({"driver_id": [1001], "value": [0.5]}) + with mlflow.start_run(run_name="bad_cols") as run: + import tempfile + + with tempfile.TemporaryDirectory() as tmp_dir: + path = os.path.join(tmp_dir, "entity_df.parquet") + df.to_parquet(path, index=False) + mlflow.log_artifact(path) + + with pytest.raises( + FeastMlflowEntityDfError, match="missing required timestamp" + ): + store_enabled.mlflow.get_training_entity_df( + run_id=run.info.run_id, + ) + + @pytest.mark.integration + def test_custom_timestamp_column(self, store_enabled, tracking_uri): + df = pd.DataFrame( + { + "driver_id": [1001], + "ts": [datetime.now()], + } + ) + with mlflow.start_run(run_name="custom_ts") as run: + import tempfile + + with tempfile.TemporaryDirectory() as tmp_dir: + path = os.path.join(tmp_dir, "entity_df.parquet") + df.to_parquet(path, index=False) + mlflow.log_artifact(path) + + recovered = store_enabled.mlflow.get_training_entity_df( + run_id=run.info.run_id, + timestamp_column="ts", + ) + assert len(recovered) == 1 + assert "ts" in recovered.columns + + +class TestModelResolver: + def _train_and_register(self, store, entity_df, tracking_uri, model_name): + """Train inside an mlflow run, log a model, register it.""" + from sklearn.linear_model import LogisticRegression + + with mlflow.start_run(run_name=f"train_{model_name}") as run: + store.get_historical_features( + features=store.get_feature_service("driver_activity_v1"), + entity_df=entity_df, + ).to_df() + + model = LogisticRegression() + model.fit([[0, 0], [1, 1]], [0, 1]) + mlflow.sklearn.log_model(model, "model") + + mlflow.register_model(f"runs:/{run.info.run_id}/model", model_name) + return run.info.run_id + + @pytest.mark.integration + def test_resolve_from_run_tags(self, store_enabled, entity_df, tracking_uri): + self._train_and_register( + store_enabled, entity_df, tracking_uri, "test_resolve_run_tags" + ) + + fs_name = store_enabled.mlflow.resolve_features( + model_uri="models:/test_resolve_run_tags/1", + ) + assert fs_name == "driver_activity_v1" + + @pytest.mark.integration + def test_resolve_from_model_version_tag( + self, store_enabled, entity_df, tracking_uri + ): + self._train_and_register( + store_enabled, entity_df, tracking_uri, "test_resolve_mv_tag" + ) + + client = MlflowClient(tracking_uri=tracking_uri) + client.set_model_version_tag( + "test_resolve_mv_tag", "1", "feast.feature_service", "overridden_service" + ) + + fs_name = store_enabled.mlflow.resolve_features( + model_uri="models:/test_resolve_mv_tag/1", + ) + assert fs_name == "overridden_service" + + @pytest.mark.integration + def test_model_version_tag_takes_priority_over_run_tag( + self, store_enabled, entity_df, tracking_uri + ): + self._train_and_register( + store_enabled, entity_df, tracking_uri, "test_priority" + ) + + client = MlflowClient(tracking_uri=tracking_uri) + client.set_model_version_tag( + "test_priority", "1", "feast.feature_service", "explicit_override" + ) + + fs_name = store_enabled.mlflow.resolve_features( + model_uri="models:/test_priority/1", + ) + assert fs_name == "explicit_override" + + @pytest.mark.integration + def test_validates_feature_service_exists( + self, store_enabled, entity_df, tracking_uri + ): + self._train_and_register( + store_enabled, entity_df, tracking_uri, "test_validate_exists" + ) + + client = MlflowClient(tracking_uri=tracking_uri) + client.set_model_version_tag( + "test_validate_exists", + "1", + "feast.feature_service", + "nonexistent_service", + ) + + with pytest.raises( + FeastMlflowModelResolutionError, match="not found in the Feast registry" + ): + store_enabled.mlflow.resolve_features( + model_uri="models:/test_validate_exists/1", + ) + + @pytest.mark.integration + def test_invalid_uri_raises(self, store_enabled, tracking_uri): + with pytest.raises(FeastMlflowModelResolutionError, match="Invalid model_uri"): + store_enabled.mlflow.resolve_features( + model_uri="not-a-valid-uri", + ) + + @pytest.mark.integration + def test_nonexistent_model_raises(self, store_enabled, tracking_uri): + with pytest.raises(FeastMlflowModelResolutionError, match="Could not resolve"): + store_enabled.mlflow.resolve_features( + model_uri="models:/does_not_exist/1", + ) + + @pytest.mark.integration + def test_no_feast_tag_anywhere_raises(self, store_enabled, tracking_uri): + from sklearn.linear_model import LogisticRegression + + mlflow.set_experiment("test_mlflow") + with mlflow.start_run(run_name="no_feast_tags") as run: + model = LogisticRegression() + model.fit([[0], [1]], [0, 1]) + mlflow.sklearn.log_model(model, "model") + + mlflow.register_model(f"runs:/{run.info.run_id}/model", "test_no_feast_tag") + + with pytest.raises( + FeastMlflowModelResolutionError, + match="Could not determine feature service", + ): + store_enabled.mlflow.resolve_features( + model_uri="models:/test_no_feast_tag/1", + ) + + @pytest.mark.integration + def test_feature_mismatch_with_required_features_artifact( + self, store_enabled, entity_df, tracking_uri + ): + from sklearn.linear_model import LogisticRegression + + with mlflow.start_run(run_name="mismatch") as run: + store_enabled.get_historical_features( + features=store_enabled.get_feature_service("driver_activity_v1"), + entity_df=entity_df, + ).to_df() + + model = LogisticRegression() + model.fit([[0], [1]], [0, 1]) + mlflow.sklearn.log_model(model, "model") + + import tempfile + + with tempfile.TemporaryDirectory() as tmp_dir: + path = os.path.join(tmp_dir, "feast_features.json") + with open(path, "w") as f: + json.dump(["driver_hourly_stats:nonexistent_feature"], f) + mlflow.log_artifact(path) + + mlflow.register_model(f"runs:/{run.info.run_id}/model", "test_mismatch") + + with pytest.raises(FeastMlflowModelResolutionError, match="Feature mismatch"): + store_enabled.mlflow.resolve_features( + model_uri="models:/test_mismatch/1", + ) + + +class TestEndToEnd: + @pytest.mark.integration + def test_full_lifecycle(self, store_enabled, entity_df, tracking_uri): + from sklearn.linear_model import LogisticRegression + + with store_enabled.mlflow.start_run(run_name="e2e_train") as train_run: + training_df = store_enabled.get_historical_features( + features=store_enabled.get_feature_service("driver_activity_v1"), + entity_df=entity_df, + ).to_df() + + X = training_df[["conv_rate", "acc_rate", "avg_daily_trips"]].fillna(0) + y = entity_df["label"].values[: len(X)] + model = LogisticRegression().fit(X, y) + store_enabled.mlflow.log_model(model, "model") + + store_enabled.mlflow.register_model( + f"runs:/{train_run.info.run_id}/model", "e2e_model" + ) + + fs_name = store_enabled.mlflow.resolve_features( + model_uri="models:/e2e_model/1", + ) + assert fs_name == "driver_activity_v1" + + with store_enabled.mlflow.start_run(run_name="e2e_serve") as serve_run: + store_enabled.get_online_features( + features=store_enabled.get_feature_service(fs_name), + entity_rows=[{"driver_id": 1001}], + ) + + serve_tags = ( + MlflowClient(tracking_uri=tracking_uri) + .get_run(serve_run.info.run_id) + .data.tags + ) + assert serve_tags["feast.retrieval_type"] == "online" + assert serve_tags["feast.feature_service"] == "driver_activity_v1" + + recovered_df = store_enabled.mlflow.get_training_entity_df( + run_id=train_run.info.run_id, + ) + assert recovered_df.shape == entity_df.shape + + with store_enabled.mlflow.start_run(run_name="e2e_reproduce") as repro_run: + store_enabled.get_historical_features( + features=store_enabled.get_feature_service(fs_name), + entity_df=recovered_df, + ).to_df() + + repro_tags = ( + MlflowClient(tracking_uri=tracking_uri) + .get_run(repro_run.info.run_id) + .data.tags + ) + assert repro_tags["feast.feature_service"] == "driver_activity_v1" + assert repro_tags["feast.entity_count"] == str(len(entity_df)) + + +class TestLogApplyTransitionTypes: + """Tests for per-object transition type tags via store.mlflow.""" + + @pytest.mark.integration + def test_transition_tags_created(self, store_enabled, tracking_uri, feast_objects): + driver, source, fv, fs = feast_objects + transition_types = { + fv.name: "CREATE", + fs.name: "CREATE", + driver.name: "CREATE", + } + store_enabled.mlflow.log_apply( + changed_objects=[fv, fs, driver], + transition_types=transition_types, + ) + + client = MlflowClient(tracking_uri=tracking_uri) + exp = client.get_experiment_by_name("test_mlflow-feast-ops") + assert exp is not None + runs = client.search_runs(experiment_ids=[exp.experiment_id]) + assert len(runs) == 1 + + tags = runs[0].data.tags + assert tags["feast.operation"] == "apply" + assert tags["feast.feature_views_created"] == fv.name + assert tags["feast.feature_services_created"] == fs.name + assert tags["feast.entities_created"] == driver.name + assert "feast.feature_views_updated" not in tags + assert "feast.feature_views_deleted" not in tags + + @pytest.mark.integration + def test_transition_tags_mixed(self, store_enabled, tracking_uri, feast_objects): + driver, source, fv, fs = feast_objects + + fv2 = FeatureView( + name="driver_daily_stats", + entities=[driver], + ttl=timedelta(days=1), + schema=[Field(name="conv_rate", dtype=Float32)], + online=True, + source=source, + ) + + transition_types = { + fv.name: "UPDATE", + fv2.name: "CREATE", + fs.name: "DELETE", + } + store_enabled.mlflow.log_apply( + changed_objects=[fv, fv2, fs], + transition_types=transition_types, + ) + + client = MlflowClient(tracking_uri=tracking_uri) + exp = client.get_experiment_by_name("test_mlflow-feast-ops") + runs = client.search_runs(experiment_ids=[exp.experiment_id]) + assert len(runs) == 1 + + tags = runs[0].data.tags + assert fv.name in tags["feast.feature_views_updated"] + assert fv2.name in tags["feast.feature_views_created"] + assert fs.name in tags["feast.feature_services_deleted"] + + @pytest.mark.integration + def test_no_transition_tags_when_none( + self, store_enabled, tracking_uri, feast_objects + ): + _, _, fv, fs = feast_objects + store_enabled.mlflow.log_apply( + changed_objects=[fv, fs], + transition_types=None, + ) + + client = MlflowClient(tracking_uri=tracking_uri) + exp = client.get_experiment_by_name("test_mlflow-feast-ops") + runs = client.search_runs(experiment_ids=[exp.experiment_id]) + assert len(runs) == 1 + + tags = runs[0].data.tags + assert tags["feast.feature_views_changed"] == fv.name + assert "feast.feature_views_created" not in tags + assert "feast.feature_views_updated" not in tags + + @pytest.mark.integration + def test_backward_compatible_changed_tags_still_present( + self, store_enabled, tracking_uri, feast_objects + ): + """Transition tags are additive — the aggregate *_changed tags still appear.""" + driver, _, fv, fs = feast_objects + transition_types = { + fv.name: "CREATE", + fs.name: "UPDATE", + driver.name: "CREATE", + } + store_enabled.mlflow.log_apply( + changed_objects=[fv, fs, driver], + transition_types=transition_types, + ) + + client = MlflowClient(tracking_uri=tracking_uri) + exp = client.get_experiment_by_name("test_mlflow-feast-ops") + runs = client.search_runs(experiment_ids=[exp.experiment_id]) + tags = runs[0].data.tags + + assert tags["feast.feature_views_changed"] == fv.name + assert tags["feast.feature_services_changed"] == fs.name + assert tags["feast.entities_changed"] == driver.name + assert tags["feast.feature_views_created"] == fv.name + assert tags["feast.feature_services_updated"] == fs.name + assert tags["feast.entities_created"] == driver.name + + +class TestFeastMlflowModuleAPI: + """Tests for the ``store.mlflow`` and ``feast.mlflow`` module-level API.""" + + @pytest.mark.integration + def test_store_mlflow_property(self, store_enabled, tracking_uri): + """store.mlflow returns a FeastMlflowClient instance.""" + assert store_enabled.mlflow is not None + assert hasattr(store_enabled.mlflow, "start_run") + assert hasattr(store_enabled.mlflow, "log_model") + assert hasattr(store_enabled.mlflow, "resolve_features") + + @pytest.mark.integration + def test_store_mlflow_none_when_disabled(self, driver_parquet, tracking_uri): + tmp_path, _ = driver_parquet + store = _make_store(tmp_path, tracking_uri, enabled=False) + assert store.mlflow is None + + @pytest.mark.integration + def test_auto_registration_via_feature_store(self, store_enabled, tracking_uri): + """FeatureStore auto-registers with feast.mlflow — no init() needed.""" + client = MlflowClient(tracking_uri=tracking_uri) + + with store_enabled.mlflow.start_run(run_name="auto_reg") as run: + feast.mlflow.log_params({"lr": "0.01"}) + feast.mlflow.log_metrics({"acc": 0.95}) + feast.mlflow.log_metric("loss", 0.05) + assert store_enabled.mlflow.active_run_id == run.info.run_id + + data = client.get_run(run.info.run_id) + assert data.data.params["lr"] == "0.01" + assert data.data.metrics["acc"] == 0.95 + assert data.data.metrics["loss"] == 0.05 + assert data.data.tags.get("feast.project") == "test_mlflow" + + @pytest.mark.integration + def test_explicit_init_overrides_auto_registration( + self, store_enabled, tracking_uri + ): + feast.mlflow.init(store_enabled) + with store_enabled.mlflow.start_run(run_name="explicit_init") as run: + feast.mlflow.log_metric("x", 1.0) + + client = MlflowClient(tracking_uri=tracking_uri) + data = client.get_run(run.info.run_id) + assert data.data.tags.get("feast.project") == "test_mlflow" + + @pytest.mark.integration + def test_getattr_delegates_all_methods(self, store_enabled, tracking_uri): + """All FeastMlflowClient public methods are accessible via store.mlflow.""" + for method_name in [ + "start_run", + "log_model", + "register_model", + "load_model", + "resolve_features", + "get_training_entity_df", + "log_feature_retrieval", + "log_training_dataset", + "log_apply", + "log_materialize", + ]: + attr = getattr(store_enabled.mlflow, method_name) + assert callable(attr), f"{method_name} should be callable" + + @pytest.mark.integration + def test_active_run_id_property(self, store_enabled): + assert store_enabled.mlflow.active_run_id is None + with store_enabled.mlflow.start_run(run_name="prop_test"): + assert store_enabled.mlflow.active_run_id is not None + + @pytest.mark.integration + def test_mlflow_escape_hatch(self, store_enabled): + raw = store_enabled.mlflow.mlflow + assert hasattr(raw, "start_run") + + @pytest.mark.integration + def test_unknown_attr_raises(self, store_enabled): + with pytest.raises(AttributeError): + feast.mlflow.nonexistent_method + + @pytest.mark.integration + def test_log_model_and_register(self, store_enabled, entity_df, tracking_uri): + from sklearn.linear_model import LogisticRegression + + with store_enabled.mlflow.start_run(run_name="mod_train"): + store_enabled.get_historical_features( + features=store_enabled.get_feature_service("driver_activity_v1"), + entity_df=entity_df, + ).to_df() + + model = LogisticRegression().fit([[0, 0], [1, 1]], [0, 1]) + store_enabled.mlflow.log_model(model, "model") + train_run_id = store_enabled.mlflow.active_run_id + + mv = store_enabled.mlflow.register_model( + f"runs:/{train_run_id}/model", "mod_test_model" + ) + assert mv.version is not None + + client = MlflowClient(tracking_uri=tracking_uri) + mv_info = client.get_model_version("mod_test_model", mv.version) + assert mv_info.tags.get("feast.feature_service") == "driver_activity_v1" + + @pytest.mark.integration + def test_load_model_tags_prediction_run( + self, store_enabled, entity_df, tracking_uri + ): + from sklearn.linear_model import LogisticRegression + + with store_enabled.mlflow.start_run(run_name="mod_train_load"): + store_enabled.get_historical_features( + features=store_enabled.get_feature_service("driver_activity_v1"), + entity_df=entity_df, + ).to_df() + model = LogisticRegression().fit([[0, 0], [1, 1]], [0, 1]) + store_enabled.mlflow.log_model(model, "model") + train_run_id = store_enabled.mlflow.active_run_id + + store_enabled.mlflow.register_model( + f"runs:/{train_run_id}/model", "mod_load_test" + ) + + with store_enabled.mlflow.start_run(run_name="mod_predict") as pred_run: + store_enabled.mlflow.load_model("models:/mod_load_test/1") + + client = MlflowClient(tracking_uri=tracking_uri) + tags = client.get_run(pred_run.info.run_id).data.tags + assert tags.get("feast.training_run_id") == train_run_id + assert tags.get("feast.model_name") == "mod_load_test" + + @pytest.mark.integration + def test_resolve_features_and_get_training_entity_df( + self, store_enabled, entity_df, tracking_uri + ): + from sklearn.linear_model import LogisticRegression + + with store_enabled.mlflow.start_run(run_name="mod_resolve"): + store_enabled.get_historical_features( + features=store_enabled.get_feature_service("driver_activity_v1"), + entity_df=entity_df, + ).to_df() + model = LogisticRegression().fit([[0, 0], [1, 1]], [0, 1]) + store_enabled.mlflow.log_model(model, "model") + train_run_id = store_enabled.mlflow.active_run_id + + store_enabled.mlflow.register_model( + f"runs:/{train_run_id}/model", "mod_resolve_model" + ) + + fs_name = store_enabled.mlflow.resolve_features("models:/mod_resolve_model/1") + assert fs_name == "driver_activity_v1" + + recovered = store_enabled.mlflow.get_training_entity_df(train_run_id) + assert recovered.shape == entity_df.shape + + @pytest.mark.integration + def test_no_active_run_returns_none(self, store_enabled): + assert store_enabled.mlflow.active_run_id is None + + @pytest.mark.integration + def test_error_when_mlflow_disabled(self, driver_parquet, tracking_uri): + """feast.mlflow raises RuntimeError when mlflow is not enabled.""" + tmp_path, _ = driver_parquet + feast.mlflow._client = None + feast.mlflow._registered_store = None + + disabled_store = _make_store(tmp_path, tracking_uri, enabled=False) + feast.mlflow.init(disabled_store) + + with pytest.raises(RuntimeError, match="not enabled"): + feast.mlflow.start_run(run_name="should_fail") diff --git a/ui/src/components/RegistryVisualization.tsx b/ui/src/components/RegistryVisualization.tsx index d3479078618..3db1fc28e08 100644 --- a/ui/src/components/RegistryVisualization.tsx +++ b/ui/src/components/RegistryVisualization.tsx @@ -25,6 +25,7 @@ import { } from "@elastic/eui"; import { FEAST_FCO_TYPES } from "../parsers/types"; import { EntityRelation } from "../parsers/parseEntityRelationships"; +import { MlflowRunData } from "../queries/useLoadMlflowRuns"; import { feast } from "../protos"; import { useTheme } from "../contexts/ThemeContext"; import { @@ -79,6 +80,10 @@ const getNodeColor = (type: FEAST_FCO_TYPES) => { return "#ff8000"; // Orange case FEAST_FCO_TYPES.dataSource: return "#cc0000"; // Red + case FEAST_FCO_TYPES.mlflowRun: + return "#0194e2"; // MLflow brand blue + case FEAST_FCO_TYPES.mlflowModel: + return "#7b2d8e"; // Purple default: return "#666666"; // Gray } @@ -94,6 +99,10 @@ const getLightNodeColor = (type: FEAST_FCO_TYPES) => { return "#fff2e6"; // Light orange case FEAST_FCO_TYPES.dataSource: return "#ffe6e6"; // Light red + case FEAST_FCO_TYPES.mlflowRun: + return "#e6f6fd"; // Light MLflow blue + case FEAST_FCO_TYPES.mlflowModel: + return "#f3e6f9"; // Light purple default: return "#f0f0f0"; // Light gray } @@ -109,6 +118,10 @@ const getNodeIcon = (type: FEAST_FCO_TYPES) => { return "▲"; // Triangle for entity case FEAST_FCO_TYPES.dataSource: return "◆"; // Diamond for data source + case FEAST_FCO_TYPES.mlflowRun: + return "⬡"; // Hexagon for MLflow run + case FEAST_FCO_TYPES.mlflowModel: + return "⬢"; // Filled hexagon for registered model default: return "●"; // Default circle } @@ -125,6 +138,14 @@ const CustomNode = ({ data }: { data: NodeData }) => { const hasVersion = data.versionNumber != null && data.versionNumber > 1; const handleClick = () => { + if ( + (data.type === FEAST_FCO_TYPES.mlflowRun || + data.type === FEAST_FCO_TYPES.mlflowModel) && + data.metadata?.mlflow_url + ) { + window.open(data.metadata.mlflow_url, "_blank", "noopener,noreferrer"); + return; + } let path; switch (data.type) { case FEAST_FCO_TYPES.dataSource: @@ -183,7 +204,10 @@ const CustomNode = ({ data }: { data: NodeData }) => { zIndex: 5, }} > - View Details + {data.type === FEAST_FCO_TYPES.mlflowRun || + data.type === FEAST_FCO_TYPES.mlflowModel + ? "Open in MLflow ↗" + : "View Details"} )} @@ -398,6 +422,8 @@ const getLayoutedElements = ( [FEAST_FCO_TYPES.entity]: [], [FEAST_FCO_TYPES.featureView]: [], [FEAST_FCO_TYPES.featureService]: [], + [FEAST_FCO_TYPES.mlflowRun]: [], + [FEAST_FCO_TYPES.mlflowModel]: [], }; isolatedNodes.forEach((node) => { @@ -454,6 +480,8 @@ const Legend = () => { { type: FEAST_FCO_TYPES.featureView, label: "Feature View" }, { type: FEAST_FCO_TYPES.entity, label: "Entity" }, { type: FEAST_FCO_TYPES.dataSource, label: "Data Source" }, + { type: FEAST_FCO_TYPES.mlflowRun, label: "MLflow Run" }, + { type: FEAST_FCO_TYPES.mlflowModel, label: "Registered Model" }, ]; const isDarkMode = colorMode === "dark"; @@ -535,6 +563,7 @@ const registryToFlow = ( relationships: EntityRelation[], permissions?: any[], versionHistory?: feast.core.IFeatureViewVersionRecord[], + mlflowRuns?: MlflowRunData[], ) => { const nodes: Node[] = []; const edges: Edge[] = []; @@ -743,6 +772,101 @@ const registryToFlow = ( }); }); + if (mlflowRuns && mlflowRuns.length > 0) { + mlflowRuns.forEach((run) => { + const runLabel = run.run_name || run.run_id.substring(0, 8); + nodes.push({ + id: `mlflow-${run.run_id}`, + type: "custom", + data: { + label: runLabel, + type: FEAST_FCO_TYPES.mlflowRun, + metadata: { + mlflow_url: run.mlflow_url, + retrieval_type: run.retrieval_type, + status: run.status, + run_id: run.run_id, + }, + }, + position: { x: 0, y: 0 }, + }); + + if (run.feature_service) { + const fsNodeId = `fs-${run.feature_service}`; + const fsNodeExists = nodes.some((n) => n.id === fsNodeId); + if (fsNodeExists) { + edges.push({ + id: `edge-mlflow-${run.run_id}`, + source: fsNodeId, + sourceHandle: "source", + target: `mlflow-${run.run_id}`, + targetHandle: "target", + animated: true, + style: { + strokeWidth: 3, + stroke: "#0194e2", + strokeDasharray: "10 5", + animation: "dataflow 2s linear infinite", + }, + type: "smoothstep", + markerEnd: { + type: MarkerType.ArrowClosed, + width: 20, + height: 20, + color: "#0194e2", + }, + }); + } + } + + if (run.registered_models && run.registered_models.length > 0) { + run.registered_models.forEach((model) => { + const modelNodeId = `model-${model.model_name}-v${model.version}`; + const modelExists = nodes.some((n) => n.id === modelNodeId); + if (!modelExists) { + nodes.push({ + id: modelNodeId, + type: "custom", + data: { + label: `${model.model_name} v${model.version}`, + type: FEAST_FCO_TYPES.mlflowModel, + metadata: { + mlflow_url: model.mlflow_url, + model_name: model.model_name, + version: model.version, + stage: model.stage, + }, + }, + position: { x: 0, y: 0 }, + }); + } + + edges.push({ + id: `edge-model-${run.run_id}-${model.model_name}-v${model.version}`, + source: `mlflow-${run.run_id}`, + sourceHandle: "source", + target: modelNodeId, + targetHandle: "target", + animated: true, + style: { + strokeWidth: 3, + stroke: "#7b2d8e", + strokeDasharray: "10 5", + animation: "dataflow 2s linear infinite", + }, + type: "smoothstep", + markerEnd: { + type: MarkerType.ArrowClosed, + width: 20, + height: 20, + color: "#7b2d8e", + }, + }); + }); + } + }); + } + return { nodes, edges }; }; @@ -756,6 +880,10 @@ const getNodePrefix = (type: FEAST_FCO_TYPES) => { return "entity"; case FEAST_FCO_TYPES.dataSource: return "ds"; + case FEAST_FCO_TYPES.mlflowRun: + return "mlflow"; + case FEAST_FCO_TYPES.mlflowModel: + return "model"; default: return "unknown"; } @@ -766,7 +894,8 @@ interface RegistryVisualizationProps { relationships: EntityRelation[]; indirectRelationships: EntityRelation[]; filterNode?: { type: FEAST_FCO_TYPES; name: string }; - permissions?: any[]; // Add permissions field + permissions?: any[]; + mlflowRuns?: MlflowRunData[]; } const RegistryVisualization: React.FC = ({ @@ -775,6 +904,7 @@ const RegistryVisualization: React.FC = ({ indirectRelationships, filterNode, permissions, + mlflowRuns, }) => { const [nodes, setNodes, onNodesChange] = useNodesState([]); const [edges, setEdges, onEdgesChange] = useEdgesState([]); @@ -851,6 +981,7 @@ const RegistryVisualization: React.FC = ({ validRelationships, permissions, versionRecords as feast.core.IFeatureViewVersionRecord[] | undefined, + mlflowRuns, ); const { nodes: layoutedNodes, edges: layoutedEdges } = @@ -873,6 +1004,7 @@ const RegistryVisualization: React.FC = ({ showIsolatedNodes, filterNode, permissions, + mlflowRuns, setNodes, setEdges, ]); diff --git a/ui/src/components/RegistryVisualizationTab.tsx b/ui/src/components/RegistryVisualizationTab.tsx index ebc77604322..29d66b064d7 100644 --- a/ui/src/components/RegistryVisualizationTab.tsx +++ b/ui/src/components/RegistryVisualizationTab.tsx @@ -10,6 +10,7 @@ import { EuiFlexItem, } from "@elastic/eui"; import useLoadRegistry from "../queries/useLoadRegistry"; +import useLoadMlflowRuns from "../queries/useLoadMlflowRuns"; import RegistryPathContext from "../contexts/RegistryPathContext"; import RegistryVisualization from "./RegistryVisualization"; import { FEAST_FCO_TYPES } from "../parsers/types"; @@ -22,6 +23,7 @@ const RegistryVisualizationTab = () => { registryUrl, projectName, ); + const { data: mlflowData } = useLoadMlflowRuns(); const [selectedObjectType, setSelectedObjectType] = useState(""); const [selectedObjectName, setSelectedObjectName] = useState(""); const [selectedPermissionAction, setSelectedPermissionAction] = useState(""); @@ -92,6 +94,9 @@ const RegistryVisualizationTab = () => { { value: "entity", text: "Entity" }, { value: "featureView", text: "Feature View" }, { value: "featureService", text: "Feature Service" }, + ...(mlflowData?.runs?.length + ? [{ value: "mlflowRun", text: "MLflow Run" }] + : []), ]} value={selectedObjectType} onChange={(e) => { @@ -162,6 +167,7 @@ const RegistryVisualizationTab = () => { } : undefined } + mlflowRuns={mlflowData?.runs?.length ? mlflowData.runs : undefined} /> )} diff --git a/ui/src/hooks/useFCOExploreSuggestions.ts b/ui/src/hooks/useFCOExploreSuggestions.ts index 43a0e1bea3f..13cd2c58fa4 100644 --- a/ui/src/hooks/useFCOExploreSuggestions.ts +++ b/ui/src/hooks/useFCOExploreSuggestions.ts @@ -22,6 +22,8 @@ const FCO_TO_URL_NAME_MAP: Record = { entity: "/entity", featureView: "/feature-view", featureService: "/feature-service", + mlflowRun: "/mlflow-run", + mlflowModel: "/mlflow-model", }; const createSearchLink = ( diff --git a/ui/src/pages/feature-views/FeatureViewUsagePanel.tsx b/ui/src/pages/feature-views/FeatureViewUsagePanel.tsx new file mode 100644 index 00000000000..71eaebedd02 --- /dev/null +++ b/ui/src/pages/feature-views/FeatureViewUsagePanel.tsx @@ -0,0 +1,130 @@ +import React from "react"; +import { + EuiBadge, + EuiBasicTable, + EuiFlexGroup, + EuiFlexItem, + EuiHorizontalRule, + EuiLoadingSpinner, + EuiPanel, + EuiText, + EuiTitle, + EuiToolTip, +} from "@elastic/eui"; +import useLoadFeatureUsage, { + FeatureUsageEntry, +} from "../../queries/useLoadFeatureUsage"; + +interface FeatureViewUsagePanelProps { + featureViewName: string; +} + +const formatTimestamp = (ts: number | null): string => { + if (ts == null) return "Never"; + const date = new Date(ts); + return date.toLocaleString(); +}; + +const formatRelativeTime = (ts: number | null): string => { + if (ts == null) return ""; + const now = Date.now(); + const diffMs = now - ts; + const diffMin = Math.floor(diffMs / 60000); + if (diffMin < 1) return "just now"; + if (diffMin < 60) return `${diffMin}m ago`; + const diffHr = Math.floor(diffMin / 60); + if (diffHr < 24) return `${diffHr}h ago`; + const diffDays = Math.floor(diffHr / 24); + return `${diffDays}d ago`; +}; + +const FeatureViewUsagePanel = ({ + featureViewName, +}: FeatureViewUsagePanelProps) => { + const { data, isLoading, isError } = useLoadFeatureUsage(); + + if (isLoading) { + return ( + + +

MLflow Usage

+ + + + + + + + + ); + } + + if (isError || !data || !data.mlflow_enabled) { + return null; + } + + const usage: FeatureUsageEntry | undefined = + data.feature_usage?.[featureViewName]; + + if (!usage || usage.run_count === 0) { + return ( + + +

MLflow Usage

+ + + + No MLflow training runs have used this feature view. + + + ); + } + + const modelItems = usage.models.map((name) => ({ name })); + + const modelColumns = [ + { + name: "Registered Model", + field: "name", + render: (name: string) => {name}, + }, + ]; + + return ( + + +

MLflow Usage

+ + + + + + Training runs: {usage.run_count} + + + + + + Last used: {formatRelativeTime(usage.last_used)} + + + + + {modelItems.length > 0 && ( + <> + + + Registered models using this feature view: + + + + )} + + ); +}; + +export default FeatureViewUsagePanel; diff --git a/ui/src/pages/feature-views/RegularFeatureViewOverviewTab.tsx b/ui/src/pages/feature-views/RegularFeatureViewOverviewTab.tsx index e766e4fd0ab..e58e690c04e 100644 --- a/ui/src/pages/feature-views/RegularFeatureViewOverviewTab.tsx +++ b/ui/src/pages/feature-views/RegularFeatureViewOverviewTab.tsx @@ -8,6 +8,7 @@ import { EuiStat, EuiText, EuiTitle, + EuiToolTip, } from "@elastic/eui"; import React from "react"; @@ -19,9 +20,11 @@ import { encodeSearchQueryString } from "../../hooks/encodeSearchQueryString"; import { EntityRelation } from "../../parsers/parseEntityRelationships"; import { FEAST_FCO_TYPES } from "../../parsers/types"; import useLoadRelationshipData from "../../queries/useLoadRelationshipsData"; +import useLoadFeatureUsage from "../../queries/useLoadFeatureUsage"; import { getEntityPermissions } from "../../utils/permissionUtils"; import BatchSourcePropertiesView from "../data-sources/BatchSourcePropertiesView"; import ConsumingFeatureServicesList from "./ConsumingFeatureServicesList"; +import FeatureViewUsagePanel from "./FeatureViewUsagePanel"; import { feast } from "../../protos"; import { toDate } from "../../utils/timestamp"; @@ -51,6 +54,7 @@ const RegularFeatureViewOverviewTab = ({ const fvName = featureViewName === undefined ? "" : featureViewName; const relationshipQuery = useLoadRelationshipData(); + const { data: usageData } = useLoadFeatureUsage(); const fsNames = relationshipQuery.data ? relationshipQuery.data.filter(whereFSconsumesThisFv(fvName)).map((fs) => { @@ -59,12 +63,43 @@ const RegularFeatureViewOverviewTab = ({ : []; const numOfFs = fsNames.length; + const fvUsage = usageData?.feature_usage?.[fvName]; + const runCount = fvUsage?.run_count ?? 0; + const lastUsed = fvUsage?.last_used ?? null; + const lastUsedLabel = + lastUsed != null ? new Date(lastUsed).toLocaleDateString() : "N/A"; + return ( + {usageData?.mlflow_enabled && ( + <> + + + + + + + + + + )} @@ -128,6 +163,10 @@ const RegularFeatureViewOverviewTab = ({ )} + {usageData?.mlflow_enabled && ( + + )} +

Tags

diff --git a/ui/src/pages/features/FeatureListPage.tsx b/ui/src/pages/features/FeatureListPage.tsx index 3edc6df8a40..05d946d9fe5 100644 --- a/ui/src/pages/features/FeatureListPage.tsx +++ b/ui/src/pages/features/FeatureListPage.tsx @@ -15,10 +15,14 @@ import { EuiFlexGroup, EuiFlexItem, EuiFormRow, + EuiBadge, } from "@elastic/eui"; import EuiCustomLink from "../../components/EuiCustomLink"; import ExportButton from "../../components/ExportButton"; import { useParams } from "react-router-dom"; +import useLoadFeatureModels, { + FeatureModelInfo, +} from "../../queries/useLoadFeatureModels"; import { FeatureIcon } from "../../graphics/FeatureIcon"; import useResourceQuery, { featuresListPath, @@ -36,6 +40,7 @@ interface Feature { type: string; project?: string; permissions?: any[]; + models?: FeatureModelInfo[]; } type FeatureColumn = @@ -60,6 +65,7 @@ const FeatureListPage = () => { restPath: `/permissions?project=${encodeURIComponent(projectName || "")}`, restSelect: (d) => d.permissions, }); + const { data: featureModelsData } = useLoadFeatureModels(); const [searchText, setSearchText] = useState(""); const [selectedPermissionAction, setSelectedPermissionAction] = useState(""); @@ -70,8 +76,10 @@ const FeatureListPage = () => { const [pageSize, setPageSize] = useState(100); const featuresWithPermissions: Feature[] = (features || []).map((feature) => { + const featureRef = `${feature.featureView}:${feature.name}`; return { ...feature, + models: featureModelsData?.feature_models?.[featureRef] || [], permissions: getEntityPermissions( selectedPermissionAction ? filterPermissionsByAction(permissions, selectedPermissionAction) @@ -133,6 +141,47 @@ const FeatureListPage = () => { }, }, { name: "Type", field: "type", sortable: true }, + { + name: "Models", + field: "models", + sortable: false, + render: (models: FeatureModelInfo[]) => { + if (!models || models.length === 0) { + return ( + + -- + + ); + } + if (models.length === 1) { + return ( + + {models[0].model_name} v{models[0].version} + + ); + } + return ( + + {models.map((m) => ( +
+ {m.model_name} v{m.version} +
+ ))} + + } + > + {models.length} models + + ); + }, + }, { name: "Permissions", field: "permissions", diff --git a/ui/src/parsers/types.ts b/ui/src/parsers/types.ts index 1e515f23f34..9f88660aad2 100644 --- a/ui/src/parsers/types.ts +++ b/ui/src/parsers/types.ts @@ -3,6 +3,8 @@ enum FEAST_FCO_TYPES { entity = "entity", featureView = "featureView", featureService = "featureService", + mlflowRun = "mlflowRun", + mlflowModel = "mlflowModel", } export { FEAST_FCO_TYPES }; diff --git a/ui/src/queries/useLoadFeatureModels.ts b/ui/src/queries/useLoadFeatureModels.ts new file mode 100644 index 00000000000..dc6f97843d0 --- /dev/null +++ b/ui/src/queries/useLoadFeatureModels.ts @@ -0,0 +1,37 @@ +import { useQuery } from "react-query"; + +export interface FeatureModelInfo { + model_name: string; + version: string; + stage: string; + mlflow_url: string; +} + +interface FeatureModelsResponse { + feature_models: Record; + error?: string; +} + +const useLoadFeatureModels = () => { + return useQuery( + "feature-models", + () => { + return fetch("/api/mlflow-feature-models") + .then((res) => { + if (!res.ok) { + return { feature_models: {} }; + } + return res.json(); + }) + .catch(() => { + return { feature_models: {} }; + }); + }, + { + staleTime: 60000, + retry: false, + }, + ); +}; + +export default useLoadFeatureModels; diff --git a/ui/src/queries/useLoadFeatureUsage.ts b/ui/src/queries/useLoadFeatureUsage.ts new file mode 100644 index 00000000000..c797abe88ce --- /dev/null +++ b/ui/src/queries/useLoadFeatureUsage.ts @@ -0,0 +1,35 @@ +import { useQuery } from "react-query"; + +interface FeatureUsageEntry { + run_count: number; + last_used: number | null; + models: string[]; +} + +interface FeatureUsageResponse { + feature_usage: Record; + mlflow_enabled?: boolean; + error?: string; +} + +const fetchFeatureUsage = async (): Promise => { + const response = await fetch("/api/mlflow-feature-usage"); + if (!response.ok) { + throw new Error(`Failed to fetch feature usage: ${response.statusText}`); + } + return response.json(); +}; + +const useLoadFeatureUsage = () => { + return useQuery( + "mlflowFeatureUsage", + fetchFeatureUsage, + { + staleTime: 5 * 60 * 1000, + refetchOnWindowFocus: false, + }, + ); +}; + +export default useLoadFeatureUsage; +export type { FeatureUsageEntry, FeatureUsageResponse }; diff --git a/ui/src/queries/useLoadMlflowRuns.ts b/ui/src/queries/useLoadMlflowRuns.ts new file mode 100644 index 00000000000..041fd41137d --- /dev/null +++ b/ui/src/queries/useLoadMlflowRuns.ts @@ -0,0 +1,52 @@ +import { useQuery } from "react-query"; + +export interface RegisteredModelInfo { + model_name: string; + version: string; + stage: string; + mlflow_url: string; +} + +export interface MlflowRunData { + run_id: string; + run_name: string; + status: string; + start_time: number; + feature_service: string | null; + feature_views: string[]; + feature_refs: string[]; + retrieval_type: string | null; + entity_count: string | null; + mlflow_url: string; + registered_models: RegisteredModelInfo[]; +} + +interface MlflowRunsResponse { + runs: MlflowRunData[]; + mlflow_uri: string | null; + error?: string; +} + +const useLoadMlflowRuns = () => { + return useQuery( + "mlflow-runs", + () => { + return fetch("/api/mlflow-runs") + .then((res) => { + if (!res.ok) { + return { runs: [], mlflow_uri: null }; + } + return res.json(); + }) + .catch(() => { + return { runs: [], mlflow_uri: null }; + }); + }, + { + staleTime: 30000, + retry: false, + }, + ); +}; + +export default useLoadMlflowRuns; From e83d353b53f3762a879fb1e584ed9458699b27bc Mon Sep 17 00:00:00 2001 From: Vanshika Vanshika Date: Wed, 20 May 2026 13:15:51 +0530 Subject: [PATCH 2/4] fix-CI Signed-off-by: Vanshika Vanshika rh-pre-commit.version: 2.3.2 rh-pre-commit.check-secrets: ENABLED --- .secrets.baseline | 4 +- pixi.lock | 2743 ++++++++--------- .../integration/test_mlflow_integration.py | 12 +- 3 files changed, 1308 insertions(+), 1451 deletions(-) diff --git a/.secrets.baseline b/.secrets.baseline index 01be6d4a307..561c076c36f 100644 --- a/.secrets.baseline +++ b/.secrets.baseline @@ -934,7 +934,7 @@ "filename": "infra/feast-operator/api/v1/featurestore_types.go", "hashed_secret": "44e17306b837162269a410204daaa5ecee4ec22c", "is_verified": false, - "line_number": 879 + "line_number": 885 } ], "infra/feast-operator/api/v1/zz_generated.deepcopy.go": [ @@ -1539,5 +1539,5 @@ } ] }, - "generated_at": "2026-05-13T13:57:29Z" + "generated_at": "2026-05-20T06:10:00Z" } diff --git a/pixi.lock b/pixi.lock index 4b5c54e8e26..e68b50d3b6d 100644 --- a/pixi.lock +++ b/pixi.lock @@ -11,22 +11,20 @@ environments: linux-64: - conda: https://conda.anaconda.org/conda-forge/linux-64/_openmp_mutex-4.5-20_gnu.conda - conda: https://conda.anaconda.org/conda-forge/linux-64/bzip2-1.0.8-hda65f42_9.conda - - conda: https://conda.anaconda.org/conda-forge/noarch/ca-certificates-2026.2.25-hbd8a1cb_0.conda - - conda: https://conda.anaconda.org/conda-forge/linux-64/icu-78.3-h33c6efd_0.conda + - conda: https://conda.anaconda.org/conda-forge/noarch/ca-certificates-2026.4.22-hbd8a1cb_0.conda - conda: https://conda.anaconda.org/conda-forge/linux-64/ld_impl_linux-64-2.45.1-default_hbd61a6d_102.conda - - conda: https://conda.anaconda.org/conda-forge/linux-64/libexpat-2.7.5-hecca717_0.conda + - 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click>=7.0 - filelock @@ -6557,25 +6457,25 @@ packages: - smart-open ; extra == 'default' - virtualenv>=20.0.24,!=20.21.1 ; extra == 'default' - memray ; sys_platform != 'win32' and extra == 'observability' - - fastapi ; extra == 'serve' - - opencensus ; extra == 'serve' - - opentelemetry-exporter-prometheus ; extra == 'serve' - - prometheus-client>=0.7.1 ; extra == 'serve' + - py-spy>=0.2.0 ; python_full_version < '3.12' and extra == 'serve' - colorful ; extra == 'serve' + - starlette ; extra == 'serve' + - py-spy>=0.4.0 ; python_full_version >= '3.12' and extra == 'serve' - grpcio>=1.42.0 ; extra == 'serve' - aiohttp-cors ; extra == 'serve' - - opentelemetry-proto ; extra == 'serve' - - uvicorn[standard] ; extra == 'serve' - - smart-open ; extra == 'serve' - - py-spy>=0.2.0 ; python_full_version < '3.12' and extra == 'serve' + - opentelemetry-exporter-prometheus ; extra == 'serve' + - prometheus-client>=0.7.1 ; extra == 'serve' + - fastapi ; extra == 'serve' - virtualenv>=20.0.24,!=20.21.1 ; extra == 'serve' - - watchfiles ; extra == 'serve' - - starlette ; extra == 'serve' + - opentelemetry-sdk>=1.30.0 ; extra == 'serve' - requests ; extra == 'serve' - pydantic!=2.0.*,!=2.1.*,!=2.2.*,!=2.3.*,!=2.4.*,!=2.5.*,!=2.6.*,!=2.7.*,!=2.8.*,!=2.9.*,!=2.10.*,!=2.11.*,<3 ; extra == 'serve' - - opentelemetry-sdk>=1.30.0 ; extra == 'serve' + - watchfiles ; extra == 'serve' + - uvicorn[standard] ; extra == 'serve' + - smart-open ; extra == 'serve' + - opentelemetry-proto ; extra == 'serve' - aiohttp>=3.13.3 ; extra == 'serve' - - py-spy>=0.4.0 ; python_full_version >= '3.12' and extra == 'serve' + - opencensus ; extra == 'serve' - pandas ; extra == 'tune' - pydantic!=2.0.*,!=2.1.*,!=2.2.*,!=2.3.*,!=2.4.*,!=2.5.*,!=2.6.*,!=2.7.*,!=2.8.*,!=2.9.*,!=2.10.*,!=2.11.*,<3 ; extra == 'tune' - tensorboardx>=1.9 ; extra == 'tune' @@ -6583,47 +6483,48 @@ packages: - pyarrow>=9.0.0 ; extra == 'tune' - fsspec ; extra == 'tune' - cupy-cuda12x ; sys_platform != 'darwin' and extra == 'adag' - - fastapi ; extra == 'serve-grpc' - 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opentelemetry-sdk>=1.30.0 ; extra == 'serve-grpc' - requests ; extra == 'serve-grpc' - pydantic!=2.0.*,!=2.1.*,!=2.2.*,!=2.3.*,!=2.4.*,!=2.5.*,!=2.6.*,!=2.7.*,!=2.8.*,!=2.9.*,!=2.10.*,!=2.11.*,<3 ; extra == 'serve-grpc' - - opentelemetry-sdk>=1.30.0 ; extra == 'serve-grpc' + - watchfiles ; extra == 'serve-grpc' + - uvicorn[standard] ; extra == 'serve-grpc' + - smart-open ; extra == 'serve-grpc' + - opentelemetry-proto ; extra == 'serve-grpc' - aiohttp>=3.13.3 ; extra == 'serve-grpc' - - py-spy>=0.4.0 ; python_full_version >= '3.12' and extra == 'serve-grpc' - - fastapi ; extra == 'serve-async-inference' - - opencensus ; extra == 'serve-async-inference' - - opentelemetry-exporter-prometheus ; extra == 'serve-async-inference' - - prometheus-client>=0.7.1 ; extra == 'serve-async-inference' + - opencensus ; extra == 'serve-grpc' + - py-spy>=0.2.0 ; python_full_version < '3.12' and extra == 'serve-async-inference' - colorful ; extra == 'serve-async-inference' + - starlette ; extra == 'serve-async-inference' + - py-spy>=0.4.0 ; python_full_version >= '3.12' and extra == 'serve-async-inference' - grpcio>=1.42.0 ; extra == 'serve-async-inference' - aiohttp-cors ; extra == 'serve-async-inference' - - opentelemetry-proto ; extra == 'serve-async-inference' - - uvicorn[standard] ; extra == 'serve-async-inference' + - opentelemetry-exporter-prometheus ; extra == 'serve-async-inference' - celery ; extra == 'serve-async-inference' - - smart-open ; extra == 'serve-async-inference' - - py-spy>=0.2.0 ; python_full_version < '3.12' and extra == 'serve-async-inference' + - prometheus-client>=0.7.1 ; extra == 'serve-async-inference' + - fastapi ; extra == 'serve-async-inference' - virtualenv>=20.0.24,!=20.21.1 ; extra == 'serve-async-inference' - - watchfiles ; extra == 'serve-async-inference' - - starlette ; extra == 'serve-async-inference' + - taskiq ; extra == 'serve-async-inference' + - opentelemetry-sdk>=1.30.0 ; extra == 'serve-async-inference' - requests ; extra == 'serve-async-inference' - pydantic!=2.0.*,!=2.1.*,!=2.2.*,!=2.3.*,!=2.4.*,!=2.5.*,!=2.6.*,!=2.7.*,!=2.8.*,!=2.9.*,!=2.10.*,!=2.11.*,<3 ; extra == 'serve-async-inference' - - opentelemetry-sdk>=1.30.0 ; extra == 'serve-async-inference' + - watchfiles ; extra == 'serve-async-inference' + - uvicorn[standard] ; extra == 'serve-async-inference' + - smart-open ; extra == 'serve-async-inference' + - opentelemetry-proto ; extra == 'serve-async-inference' - aiohttp>=3.13.3 ; extra == 'serve-async-inference' - - py-spy>=0.4.0 ; python_full_version >= '3.12' and extra == 'serve-async-inference' - - ray-cpp==2.54.1 ; extra == 'cpp' + - opencensus ; extra == 'serve-async-inference' + - ray-cpp==2.55.1 ; extra == 'cpp' - pandas ; extra == 'rllib' - pydantic!=2.0.*,!=2.1.*,!=2.2.*,!=2.3.*,!=2.4.*,!=2.5.*,!=2.6.*,!=2.7.*,!=2.8.*,!=2.9.*,!=2.10.*,!=2.11.*,<3 ; extra == 'rllib' - tensorboardx>=1.9 ; extra == 'rllib' @@ -6643,140 +6544,141 @@ packages: - pyarrow>=9.0.0 ; extra == 'train' - fsspec ; extra == 'train' - pydantic!=2.0.*,!=2.1.*,!=2.2.*,!=2.3.*,!=2.4.*,!=2.5.*,!=2.6.*,!=2.7.*,!=2.8.*,!=2.9.*,!=2.10.*,!=2.11.*,<3 ; extra == 'train' - - fastapi ; extra == 'air' + - pyarrow>=9.0.0 ; extra == 'air' + - fsspec ; extra == 'air' - tensorboardx>=1.9 ; extra == 'air' - - opencensus ; extra == 'air' - - opentelemetry-exporter-prometheus ; extra == 'air' - - prometheus-client>=0.7.1 ; extra == 'air' + - py-spy>=0.2.0 ; python_full_version < '3.12' and extra == 'air' - colorful ; extra == 'air' - - pandas>=1.3 ; extra == 'air' - - pyarrow>=9.0.0 ; extra == 'air' + - starlette ; extra == 'air' + - py-spy>=0.4.0 ; python_full_version >= '3.12' and extra == 'air' - grpcio>=1.42.0 ; extra == 'air' + - numpy>=1.20 ; extra == 'air' - aiohttp-cors ; extra == 'air' - - opentelemetry-proto ; extra == 'air' - - uvicorn[standard] ; extra == 'air' - - smart-open ; extra == 'air' - - py-spy>=0.2.0 ; python_full_version < '3.12' and extra == 'air' - - virtualenv>=20.0.24,!=20.21.1 ; extra == 'air' + - opentelemetry-exporter-prometheus ; extra == 'air' + - pandas>=1.3 ; extra == 'air' + - prometheus-client>=0.7.1 ; extra == 'air' - pandas ; extra == 'air' - - watchfiles ; extra == 'air' - 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- fsspec ; extra == 'all-cpp' - - cupy-cuda12x ; sys_platform != 'darwin' and extra == 'all-cpp' - - ormsgpack>=1.7.0 ; extra == 'all-cpp' + - grpcio ; extra == 'all-cpp' + - pandas ; extra == 'all-cpp' + - fastapi ; extra == 'all-cpp' + - gymnasium==1.2.2 ; extra == 'all-cpp' + - virtualenv>=20.0.24,!=20.21.1 ; extra == 'all-cpp' + - taskiq ; extra == 'all-cpp' + - opentelemetry-sdk>=1.30.0 ; extra == 'all-cpp' - requests ; extra == 'all-cpp' - pydantic!=2.0.*,!=2.1.*,!=2.2.*,!=2.3.*,!=2.4.*,!=2.5.*,!=2.6.*,!=2.7.*,!=2.8.*,!=2.9.*,!=2.10.*,!=2.11.*,<3 ; extra == 'all-cpp' - - opentelemetry-sdk>=1.30.0 ; extra == 'all-cpp' - - gymnasium==1.2.2 ; extra == 'all-cpp' - dm-tree ; extra == 'all-cpp' - - pyyaml ; extra == 'all-cpp' - - grpcio!=1.56.0 ; sys_platform == 'darwin' and extra == 'all-cpp' + - watchfiles ; extra == 'all-cpp' + - smart-open ; extra == 'all-cpp' + - uvicorn[standard] ; extra == 'all-cpp' + - opentelemetry-proto ; extra == 'all-cpp' - aiohttp>=3.13.3 ; extra == 'all-cpp' - 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pytest-checkdocs>=2.14 ; extra == 'check' - pytest-ruff>=0.2.1 ; sys_platform != 'cygwin' and extra == 'check' - pytest-cov ; extra == 'cover' - - pytest-enabler>=2.2 ; extra == 'enabler' - - pytest-mypy ; extra == 'type' - requires_python: '>=3.9' + - pytest-enabler>=3.4 ; extra == 'enabler' + - pytest-mypy>=1.0.1 ; platform_python_implementation != 'PyPy' and extra == 'type' + requires_python: '>=3.10' - conda: https://conda.anaconda.org/conda-forge/linux-64/zstd-1.5.7-hb78ec9c_6.conda sha256: 68f0206ca6e98fea941e5717cec780ed2873ffabc0e1ed34428c061e2c6268c7 md5: 4a13eeac0b5c8e5b8ab496e6c4ddd829 diff --git a/sdk/python/tests/integration/test_mlflow_integration.py b/sdk/python/tests/integration/test_mlflow_integration.py index a5c07c965b0..1b0d4e26342 100644 --- a/sdk/python/tests/integration/test_mlflow_integration.py +++ b/sdk/python/tests/integration/test_mlflow_integration.py @@ -641,12 +641,16 @@ def test_resolve_from_run_tags(self, store_enabled, entity_df, tracking_uri): @pytest.mark.integration def test_resolve_from_model_version_tag( - self, store_enabled, entity_df, tracking_uri + self, store_enabled, entity_df, tracking_uri, feast_objects ): self._train_and_register( store_enabled, entity_df, tracking_uri, "test_resolve_mv_tag" ) + _, _, fv, _ = feast_objects + override_fs = FeatureService(name="overridden_service", features=[fv]) + store_enabled.apply([override_fs]) + client = MlflowClient(tracking_uri=tracking_uri) client.set_model_version_tag( "test_resolve_mv_tag", "1", "feast.feature_service", "overridden_service" @@ -659,12 +663,16 @@ def test_resolve_from_model_version_tag( @pytest.mark.integration def test_model_version_tag_takes_priority_over_run_tag( - self, store_enabled, entity_df, tracking_uri + self, store_enabled, entity_df, tracking_uri, feast_objects ): self._train_and_register( store_enabled, entity_df, tracking_uri, "test_priority" ) + _, _, fv, _ = feast_objects + override_fs = FeatureService(name="explicit_override", features=[fv]) + store_enabled.apply([override_fs]) + client = MlflowClient(tracking_uri=tracking_uri) client.set_model_version_tag( "test_priority", "1", "feast.feature_service", "explicit_override" From 3da673d8a011f056a7af8462149cd3cc45c0d03e Mon Sep 17 00:00:00 2001 From: Vanshika Vanshika Date: Wed, 20 May 2026 13:26:09 +0530 Subject: [PATCH 3/4] fix-lint Signed-off-by: Vanshika Vanshika rh-pre-commit.version: 2.3.2 rh-pre-commit.check-secrets: ENABLED --- .secrets.baseline | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/.secrets.baseline b/.secrets.baseline index 561c076c36f..0197e0a1f3d 100644 --- a/.secrets.baseline +++ b/.secrets.baseline @@ -957,7 +957,7 @@ "filename": "infra/feast-operator/api/v1/zz_generated.deepcopy.go", "hashed_secret": "c2028031c154bbe86fd69bef740855c74b927dcf", "is_verified": false, - "line_number": 1491 + "line_number": 1496 } ], "infra/feast-operator/api/v1alpha1/featurestore_types.go": [ @@ -1539,5 +1539,5 @@ } ] }, - "generated_at": "2026-05-20T06:10:00Z" + "generated_at": "2026-05-20T07:55:48Z" } From d740a85d123746a59e770e8db5afcaeee07461ac Mon Sep 17 00:00:00 2001 From: Vanshika Vanshika Date: Thu, 21 May 2026 12:18:59 +0530 Subject: [PATCH 4/4] fix: remove unused imports in ui_server.py Signed-off-by: Vanshika Vanshika rh-pre-commit.version: 2.3.2 rh-pre-commit.check-secrets: ENABLED --- sdk/python/feast/ui_server.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/sdk/python/feast/ui_server.py b/sdk/python/feast/ui_server.py index 4db2e835ce6..883f995b82d 100644 --- a/sdk/python/feast/ui_server.py +++ b/sdk/python/feast/ui_server.py @@ -1,7 +1,7 @@ import json import logging from importlib import resources as importlib_resources -from typing import Callable, Dict, List, Optional +from typing import Dict, List import uvicorn from fastapi import FastAPI, Response, status