wehub-resource-sync
113 lines
4.2 KiB
Python
113 lines
4.2 KiB
Python
from __future__ import annotations
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import threading
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import warnings
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from functools import lru_cache, partial
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from mlflow.exceptions import MlflowException
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from mlflow.protos.databricks_pb2 import INVALID_PARAMETER_VALUE
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from mlflow.store.db.db_types import DATABASE_ENGINES
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from mlflow.tracking.registry import StoreRegistry
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from mlflow.utils.credentials import get_default_host_creds
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from mlflow.utils.plugins import get_entry_points
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_WORKSPACE_PROVIDER_ENTRYPOINT_GROUP = "mlflow.workspace_provider"
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_building_workspace_store_lock = threading.RLock()
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class UnsupportedWorkspaceStoreURIException(MlflowException):
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"""Exception thrown when building a workspace store with an unsupported URI."""
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def __init__(self, unsupported_uri, supported_uri_schemes):
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message = (
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"Workspace functionality is unavailable; got unsupported URI "
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f"'{unsupported_uri}' for the workspace backend. Supported URI schemes are: "
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f"{supported_uri_schemes}. See the workspace configuration guide for instructions."
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)
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super().__init__(message, error_code=INVALID_PARAMETER_VALUE)
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self.supported_uri_schemes = supported_uri_schemes
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class WorkspaceStoreRegistry(StoreRegistry):
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"""Scheme-based registry for workspace store implementations."""
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def __init__(self):
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super().__init__(_WORKSPACE_PROVIDER_ENTRYPOINT_GROUP)
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def register_entrypoints(self):
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"""Register workspace stores provided by other packages."""
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for entrypoint in get_entry_points(self.group_name):
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try:
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self.register(entrypoint.name, entrypoint.load())
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except (AttributeError, ImportError) as exc:
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warnings.warn(
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f"Failure attempting to register workspace provider '{entrypoint.name}': {exc}",
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stacklevel=2,
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)
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def get_store(self, workspace_uri: str):
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"""Return a workspace store instance for the provided URI."""
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return self._get_store_with_resolved_uri(workspace_uri)
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@lru_cache(maxsize=100)
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def _get_store_with_resolved_uri(self, workspace_uri: str):
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with _building_workspace_store_lock:
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try:
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builder = self.get_store_builder(workspace_uri)
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except MlflowException as exc:
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raise UnsupportedWorkspaceStoreURIException(
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unsupported_uri=workspace_uri,
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supported_uri_schemes=list(self._registry.keys()),
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) from exc
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return builder(workspace_uri=workspace_uri)
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_workspace_store_registry: WorkspaceStoreRegistry | None = None
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def _get_workspace_store_registry() -> WorkspaceStoreRegistry:
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global _workspace_store_registry
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if _workspace_store_registry is None:
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with _building_workspace_store_lock:
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# Double-check to avoid redundant initialization when multiple threads race.
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if _workspace_store_registry is None:
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registry = WorkspaceStoreRegistry()
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_register_default_workspace_stores(registry)
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registry.register_entrypoints()
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_workspace_store_registry = registry
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return _workspace_store_registry
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def _get_sqlalchemy_workspace_store(workspace_uri: str):
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from mlflow.store.workspace.sqlalchemy_store import SqlAlchemyStore
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return SqlAlchemyStore(workspace_uri)
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def _get_rest_workspace_store(workspace_uri: str):
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from mlflow.store.workspace.rest_store import RestWorkspaceStore
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return RestWorkspaceStore(partial(get_default_host_creds, workspace_uri))
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def _register_default_workspace_stores(registry: WorkspaceStoreRegistry) -> None:
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# Register SQLAlchemy builder for common database schemes.
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for scheme in DATABASE_ENGINES:
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registry.register(scheme, _get_sqlalchemy_workspace_store)
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# Register REST-based workspace stores.
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for scheme in ["http", "https"]:
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registry.register(scheme, _get_rest_workspace_store)
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def get_workspace_store(workspace_uri: str):
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"""
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Return a workspace store for the specified workspace URI.
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Args:
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workspace_uri: Workspace backend URI.
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"""
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return _get_workspace_store_registry().get_store(workspace_uri=workspace_uri)
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