mirror of
https://github.com/trustgraph-ai/trustgraph.git
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d35473f7f7
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.
61 lines
1.6 KiB
Python
61 lines
1.6 KiB
Python
#!/usr/bin/env python3
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from .. schema import TriplesQueryRequest, TriplesQueryResponse, Term, IRI, LITERAL
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from .. schema import triples_request_queue
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from .. schema import triples_response_queue
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from . base import BaseClient
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# Ugly
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class TriplesQueryClient(BaseClient):
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def __init__(
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self,
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subscriber=None,
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input_queue=None,
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output_queue=None,
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pulsar_host="pulsar://pulsar:6650",
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pulsar_api_key=None,
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):
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if input_queue == None:
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input_queue = triples_request_queue
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if output_queue == None:
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output_queue = triples_response_queue
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super(TriplesQueryClient, self).__init__(
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subscriber=subscriber,
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input_queue=input_queue,
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output_queue=output_queue,
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pulsar_api_key=pulsar_api_key,
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pulsar_host=pulsar_host,
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input_schema=TriplesQueryRequest,
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output_schema=TriplesQueryResponse,
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)
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def create_value(self, ent):
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if ent == None: return None
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if ent.startswith("http://") or ent.startswith("https://"):
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return Term(type=IRI, iri=ent)
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return Term(type=LITERAL, value=ent)
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def request(
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self,
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s, p, o,
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collection="default",
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limit=10, timeout=120,
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):
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return self.call(
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s=self.create_value(s),
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p=self.create_value(p),
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o=self.create_value(o),
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collection=collection,
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limit=limit,
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timeout=timeout,
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).triples
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