mirror of
https://github.com/trustgraph-ai/trustgraph.git
synced 2026-05-19 04:15:14 +02:00
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.
174 lines
3.8 KiB
Python
174 lines
3.8 KiB
Python
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import json
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import dataclasses
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from .. schema import ConfigRequest, ConfigResponse, ConfigKey, ConfigValue
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from .. schema import config_request_queue
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from .. schema import config_response_queue
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from . base import BaseClient
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# Ugly
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@dataclasses.dataclass
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class Definition:
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name: str
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definition: str
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@dataclasses.dataclass
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class Relationship:
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s: str
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p: str
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o: str
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o_entity: str
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@dataclasses.dataclass
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class Topic:
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name: str
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definition: str
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class ConfigClient(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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workspace="default",
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**pubsub_config,
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):
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if input_queue == None:
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input_queue = config_request_queue
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if output_queue == None:
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output_queue = config_response_queue
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super(ConfigClient, 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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input_schema=ConfigRequest,
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output_schema=ConfigResponse,
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**pubsub_config,
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)
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self.workspace = workspace
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def get(self, keys, timeout=300):
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resp = self.call(
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operation="get",
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workspace=self.workspace,
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keys=[
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ConfigKey(
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type = k["type"],
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key = k["key"]
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)
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for k in keys
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],
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timeout=timeout
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)
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return [
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{
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"type": v.type,
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"key": v.key,
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"value": v.value
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}
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for v in resp.values
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]
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def list(self, type, timeout=300):
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resp = self.call(
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operation="list",
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workspace=self.workspace,
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type=type,
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timeout=timeout
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)
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return resp.directory
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def getvalues(self, type, timeout=300):
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resp = self.call(
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operation="getvalues",
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workspace=self.workspace,
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type=type,
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timeout=timeout
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)
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return [
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{
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"type": v.type,
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"key": v.key,
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"value": v.value
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}
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for v in resp.values
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]
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def getvalues_all_ws(self, type, timeout=300):
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"""Fetch all values of a given type across all workspaces.
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Returns a list of dicts including a 'workspace' field."""
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resp = self.call(
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operation="getvalues-all-ws",
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type=type,
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timeout=timeout
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)
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return [
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{
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"workspace": v.workspace,
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"type": v.type,
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"key": v.key,
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"value": v.value,
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}
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for v in resp.values
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]
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def delete(self, keys, timeout=300):
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resp = self.call(
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operation="delete",
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workspace=self.workspace,
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keys=[
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ConfigKey(
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type = k["type"],
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key = k["key"]
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)
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for k in keys
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],
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timeout=timeout
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)
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return None
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def put(self, values, timeout=300):
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resp = self.call(
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operation="put",
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workspace=self.workspace,
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values=[
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ConfigValue(
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type = v["type"],
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key = v["key"],
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value = v["value"]
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)
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for v in values
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],
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timeout=timeout
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)
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return None
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def config(self, timeout=300):
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resp = self.call(
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operation="config",
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workspace=self.workspace,
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timeout=timeout
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)
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return resp.config, resp.version
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