trustgraph/trustgraph-base/trustgraph/base/triples_query_service.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

132 lines
3.9 KiB
Python

"""
Triples query service. Input is a (s, p, o) triple, some values may be
null. Output is a list of triples.
"""
from __future__ import annotations
from argparse import ArgumentParser
import logging
from .. schema import TriplesQueryRequest, TriplesQueryResponse, Error
from .. schema import Term, Triple
from . flow_processor import FlowProcessor
from . consumer_spec import ConsumerSpec
from . producer_spec import ProducerSpec
# Module logger
logger = logging.getLogger(__name__)
default_ident = "triples-query"
default_concurrency = 10
class TriplesQueryService(FlowProcessor):
def __init__(self, **params):
id = params.get("id")
concurrency = params.get("concurrency", default_concurrency)
super(TriplesQueryService, self).__init__(**params | { "id": id })
self.register_specification(
ConsumerSpec(
name = "request",
schema = TriplesQueryRequest,
handler = self.on_message,
concurrency = concurrency,
)
)
self.register_specification(
ProducerSpec(
name = "response",
schema = TriplesQueryResponse,
)
)
async def on_message(self, msg, consumer, flow):
try:
request = msg.value()
# Sender-produced ID
id = msg.properties()["id"]
logger.debug(f"Handling triples query request {id}...")
workspace = flow.workspace
if request.streaming:
# Streaming mode: send batches
async for batch, is_final in self.query_triples_stream(
workspace, request,
):
r = TriplesQueryResponse(
triples=batch,
error=None,
is_final=is_final,
)
await flow("response").send(r, properties={"id": id})
logger.debug("Triples query streaming completed")
else:
# Non-streaming mode: single response
triples = await self.query_triples(workspace, request)
logger.debug("Sending triples query response...")
r = TriplesQueryResponse(triples=triples, error=None)
await flow("response").send(r, properties={"id": id})
logger.debug("Triples query request completed")
except Exception as e:
logger.error(f"Exception in triples query service: {e}", exc_info=True)
logger.info("Sending error response...")
r = TriplesQueryResponse(
error = Error(
type = "triples-query-error",
message = str(e),
),
triples = None,
)
await flow("response").send(r, properties={"id": id})
async def query_triples_stream(self, workspace, request):
"""
Streaming query - yields (batch, is_final) tuples.
Default implementation batches results from query_triples.
Override for true streaming from backend.
"""
triples = await self.query_triples(workspace, request)
batch_size = request.batch_size if request.batch_size > 0 else 20
for i in range(0, len(triples), batch_size):
batch = triples[i:i + batch_size]
is_final = (i + batch_size >= len(triples))
yield batch, is_final
# Handle empty result
if len(triples) == 0:
yield [], True
@staticmethod
def add_args(parser: ArgumentParser) -> None:
FlowProcessor.add_args(parser)
parser.add_argument(
'-c', '--concurrency',
type=int,
default=default_concurrency,
help=f'Number of concurrent requests (default: {default_concurrency})'
)
def run() -> None:
Processor.launch(default_ident, __doc__)