trustgraph/trustgraph-base/trustgraph/api/collection.py
cybermaggedon d35473f7f7
feat: workspace-based multi-tenancy, replacing user as tenancy axis (#840)
Introduces `workspace` as the isolation boundary for config, flows,
library, and knowledge data. Removes `user` as a schema-level field
throughout the code, API specs, and tests; workspace provides the
same separation more cleanly at the trusted flow.workspace layer
rather than through client-supplied message fields.

Design
------
- IAM tech spec (docs/tech-specs/iam.md) documents current state,
  proposed auth/access model, and migration direction.
- Data ownership model (docs/tech-specs/data-ownership-model.md)
  captures the workspace/collection/flow hierarchy.

Schema + messaging
------------------
- Drop `user` field from AgentRequest/Step, GraphRagQuery,
  DocumentRagQuery, Triples/Graph/Document/Row EmbeddingsRequest,
  Sparql/Rows/Structured QueryRequest, ToolServiceRequest.
- Keep collection/workspace routing via flow.workspace at the
  service layer.
- Translators updated to not serialise/deserialise user.

API specs
---------
- OpenAPI schemas and path examples cleaned of user fields.
- Websocket async-api messages updated.
- Removed the unused parameters/User.yaml.

Services + base
---------------
- Librarian, collection manager, knowledge, config: all operations
  scoped by workspace. Config client API takes workspace as first
  positional arg.
- `flow.workspace` set at flow start time by the infrastructure;
  no longer pass-through from clients.
- Tool service drops user-personalisation passthrough.

CLI + SDK
---------
- tg-init-workspace and workspace-aware import/export.
- All tg-* commands drop user args; accept --workspace.
- Python API/SDK (flow, socket_client, async_*, explainability,
  library) drop user kwargs from every method signature.

MCP server
----------
- All tool endpoints drop user parameters; socket_manager no longer
  keyed per user.

Flow service
------------
- Closure-based topic cleanup on flow stop: only delete topics
  whose blueprint template was parameterised AND no remaining
  live flow (across all workspaces) still resolves to that topic.
  Three scopes fall out naturally from template analysis:
    * {id} -> per-flow, deleted on stop
    * {blueprint} -> per-blueprint, kept while any flow of the
      same blueprint exists
    * {workspace} -> per-workspace, kept while any flow in the
      workspace exists
    * literal -> global, never deleted (e.g. tg.request.librarian)
  Fixes a bug where stopping a flow silently destroyed the global
  librarian exchange, wedging all library operations until manual
  restart.

RabbitMQ backend
----------------
- heartbeat=60, blocked_connection_timeout=300. Catches silently
  dead connections (broker restart, orphaned channels, network
  partitions) within ~2 heartbeat windows, so the consumer
  reconnects and re-binds its queue rather than sitting forever
  on a zombie connection.

Tests
-----
- Full test refresh: unit, integration, contract, provenance.
- Dropped user-field assertions and constructor kwargs across
  ~100 test files.
- Renamed user-collection isolation tests to workspace-collection.
2026-04-21 23:23:01 +01:00

149 lines
4 KiB
Python

"""
TrustGraph Collection Management
This module provides interfaces for managing data collections in TrustGraph.
Collections provide logical grouping within a workspace.
"""
import logging
from . types import CollectionMetadata
from . exceptions import *
logger = logging.getLogger(__name__)
class Collection:
"""
Collection management client.
Provides methods for managing data collections within the configured
workspace, including listing, updating metadata, and deleting
collections.
"""
def __init__(self, api):
"""
Initialize Collection client.
Args:
api: Parent Api instance for making requests
"""
self.api = api
def request(self, request):
"""
Make a collection-scoped API request.
Args:
request: Request payload dictionary
Returns:
dict: Response object
"""
return self.api.request(f"collection-management", request)
def list_collections(self, tag_filter=None):
"""
List all collections in this workspace.
Args:
tag_filter: Optional list of tags to filter collections
Returns:
list[CollectionMetadata]: List of collection metadata objects
"""
input = {
"operation": "list-collections",
"workspace": self.api.workspace,
}
if tag_filter:
input["tag_filter"] = tag_filter
object = self.request(input)
try:
if object is None or "collections" not in object:
return []
collections = object.get("collections", [])
if collections is None:
return []
return [
CollectionMetadata(
collection = v["collection"],
name = v["name"],
description = v["description"],
tags = v["tags"]
)
for v in collections
]
except Exception as e:
logger.error("Failed to parse collection list response", exc_info=True)
raise ProtocolException(f"Response not formatted correctly")
def update_collection(self, collection, name=None, description=None, tags=None):
"""
Update collection metadata.
Args:
collection: Collection identifier
name: New collection name (optional)
description: New collection description (optional)
tags: New list of tags (optional)
Returns:
CollectionMetadata: Updated collection metadata, or None if not found
"""
input = {
"operation": "update-collection",
"workspace": self.api.workspace,
"collection": collection,
}
if name is not None:
input["name"] = name
if description is not None:
input["description"] = description
if tags is not None:
input["tags"] = tags
object = self.request(input)
try:
if "collections" in object and object["collections"]:
v = object["collections"][0]
return CollectionMetadata(
collection = v["collection"],
name = v["name"],
description = v["description"],
tags = v["tags"]
)
return None
except Exception as e:
logger.error("Failed to parse collection update response", exc_info=True)
raise ProtocolException(f"Response not formatted correctly")
def delete_collection(self, collection):
"""
Delete a collection.
Args:
collection: Collection identifier to delete
Returns:
dict: Empty response object
"""
input = {
"operation": "delete-collection",
"workspace": self.api.workspace,
"collection": collection,
}
self.request(input)
return {}