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.
77 lines
2.5 KiB
Python
77 lines
2.5 KiB
Python
from typing import Dict, Any, Tuple, Optional
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from ...schema import RowsQueryRequest, RowsQueryResponse
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from .base import MessageTranslator
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import json
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class RowsQueryRequestTranslator(MessageTranslator):
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"""Translator for RowsQueryRequest schema objects"""
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def decode(self, data: Dict[str, Any]) -> RowsQueryRequest:
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return RowsQueryRequest(
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collection=data.get("collection", "default"),
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query=data.get("query", ""),
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variables=data.get("variables", {}),
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operation_name=data.get("operation_name", None)
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)
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def encode(self, obj: RowsQueryRequest) -> Dict[str, Any]:
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result = {
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"collection": obj.collection,
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"query": obj.query,
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"variables": dict(obj.variables) if obj.variables else {}
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}
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if obj.operation_name:
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result["operation_name"] = obj.operation_name
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return result
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class RowsQueryResponseTranslator(MessageTranslator):
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"""Translator for RowsQueryResponse schema objects"""
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def decode(self, data: Dict[str, Any]) -> RowsQueryResponse:
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raise NotImplementedError("Response translation to Pulsar not typically needed")
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def encode(self, obj: RowsQueryResponse) -> Dict[str, Any]:
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result = {}
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# Handle GraphQL response data
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if obj.data:
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try:
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result["data"] = json.loads(obj.data)
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except json.JSONDecodeError:
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result["data"] = obj.data
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else:
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result["data"] = None
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# Handle GraphQL errors
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if obj.errors:
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result["errors"] = []
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for error in obj.errors:
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error_dict = {
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"message": error.message
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}
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if error.path:
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error_dict["path"] = list(error.path)
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if error.extensions:
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error_dict["extensions"] = dict(error.extensions)
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result["errors"].append(error_dict)
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# Handle extensions
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if obj.extensions:
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result["extensions"] = dict(obj.extensions)
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# Handle system-level error
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if obj.error:
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result["error"] = {
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"type": obj.error.type,
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"message": obj.error.message
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}
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return result
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def encode_with_completion(self, obj: RowsQueryResponse) -> Tuple[Dict[str, Any], bool]:
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"""Returns (response_dict, is_final)"""
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return self.encode(obj), True
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