mirror of
https://github.com/trustgraph-ai/trustgraph.git
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changes. Workspace support: - Support for separate workspaces - Addition of workspace CLI support for test purposes - Massive test update - Remove many 'user' references in services - workspace now provides the same separation - Update API
153 lines
5.3 KiB
Python
153 lines
5.3 KiB
Python
"""
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Handler for storage services to process collection configuration from config push
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"""
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import json
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import logging
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from typing import Dict, Set
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logger = logging.getLogger(__name__)
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class CollectionConfigHandler:
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"""
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Handles collection configuration from config push messages for storage services.
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Storage services should:
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1. Inherit from this class along with their service base class
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2. Call register_config_handler(self.on_collection_config) in __init__
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3. Implement create_collection(workspace, collection, metadata) method
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4. Implement delete_collection(workspace, collection) method
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"""
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def __init__(self, **kwargs):
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# Track known collections: {(workspace, collection): metadata_dict}
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self.known_collections: Dict[tuple, dict] = {}
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# Pass remaining kwargs up the inheritance chain
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super().__init__(**kwargs)
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async def on_collection_config(
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self, workspace: str, config: dict, version: int
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):
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"""
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Handle config push messages and extract collection information
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for a single workspace.
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Args:
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workspace: Workspace the config applies to
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config: Configuration dictionary from ConfigPush message
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version: Configuration version number
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"""
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logger.info(
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f"Processing collection configuration "
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f"(version {version}, workspace {workspace})"
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)
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# Extract collections from config (treat missing key as empty).
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# Each config key IS the collection name — config is already
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# partitioned by workspace, so no workspace prefix is needed
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# on the key.
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collection_config = config.get("collection", {})
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# Track which collections we've seen in this config
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current_collections: Set[tuple] = set()
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for collection, value_json in collection_config.items():
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try:
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current_collections.add((workspace, collection))
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metadata = json.loads(value_json)
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key = (workspace, collection)
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if key not in self.known_collections:
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logger.info(
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f"New collection detected: {workspace}/{collection}"
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)
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await self.create_collection(
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workspace, collection, metadata
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)
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self.known_collections[key] = metadata
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else:
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if self.known_collections[key] != metadata:
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logger.info(
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f"Collection metadata updated: "
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f"{workspace}/{collection}"
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)
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self.known_collections[key] = metadata
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except Exception as e:
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logger.error(
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f"Error processing collection config for "
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f"{workspace}/{collection}: {e}",
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exc_info=True,
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)
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# Find collections for THIS workspace that were deleted (in
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# known but not in current). Only compare collections owned by
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# this workspace — other workspaces' collections are not
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# affected by this config update.
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known_for_ws = {
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(w, c) for (w, c) in self.known_collections.keys()
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if w == workspace
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}
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deleted_collections = known_for_ws - current_collections
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for ws, collection in deleted_collections:
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logger.info(f"Collection deleted: {ws}/{collection}")
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try:
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# Remove from known_collections FIRST to immediately
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# reject new writes
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del self.known_collections[(ws, collection)]
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await self.delete_collection(ws, collection)
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except Exception as e:
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logger.error(
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f"Error deleting collection {ws}/{collection}: {e}",
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exc_info=True,
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)
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logger.debug(
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f"Collection config processing complete. "
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f"Known collections: {len(self.known_collections)}"
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)
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async def create_collection(
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self, workspace: str, collection: str, metadata: dict,
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):
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"""
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Create a collection in the storage backend.
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Subclasses must implement this method.
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Args:
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workspace: Workspace ID
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collection: Collection ID
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metadata: Collection metadata dictionary
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"""
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raise NotImplementedError(
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"Storage service must implement create_collection method"
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)
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async def delete_collection(self, workspace: str, collection: str):
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"""
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Delete a collection from the storage backend.
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Subclasses must implement this method.
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Args:
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workspace: Workspace ID
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collection: Collection ID
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"""
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raise NotImplementedError(
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"Storage service must implement delete_collection method"
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)
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def collection_exists(self, workspace: str, collection: str) -> bool:
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"""
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Check if a collection is known to exist.
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Args:
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workspace: Workspace ID
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collection: Collection ID
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Returns:
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True if collection exists, False otherwise
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"""
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return (workspace, collection) in self.known_collections
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