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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.
74 lines
2.5 KiB
Python
74 lines
2.5 KiB
Python
"""
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Contract tests for schema dataclass field sets.
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These pin the *field names* of small, widely-constructed schema dataclasses
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so that any rename, removal, or accidental addition fails CI loudly instead
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of waiting for a runtime TypeError on the next websocket message.
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Background: in v2.2 the `Metadata` dataclass dropped a `metadata: list[Triple]`
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field but several call sites kept passing `Metadata(metadata=...)`. The bug
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was only discovered when a websocket import dispatcher received its first
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real message in production. A trivial structural assertion of the kind
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below would have caught it at unit-test time.
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Add to this file whenever a schema rename burns you. The cost of a frozen
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field set is a one-line update when you intentionally evolve the schema; the
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benefit is that every call site is forced to come along for the ride.
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"""
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import dataclasses
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import pytest
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from trustgraph.schema import (
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Metadata,
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EntityContext,
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EntityEmbeddings,
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ChunkEmbeddings,
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)
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def _field_names(dc):
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return {f.name for f in dataclasses.fields(dc)}
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@pytest.mark.contract
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class TestSchemaFieldContracts:
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"""Pin the field set of dataclasses that get constructed all over the
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codebase. If you intentionally change one of these, update the
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expected set in the same commit — that diff will surface every call
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site that needs to come along."""
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def test_metadata_fields(self):
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# NOTE: there is no `metadata` field. A previous regression
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# constructed Metadata(metadata=...) and crashed at runtime.
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# `user` was also dropped in the workspace refactor — workspace
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# now flows via flow.workspace, not via message payload.
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assert _field_names(Metadata) == {
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"id",
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"root",
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"collection",
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}
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def test_entity_embeddings_fields(self):
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# NOTE: the embedding field is `vector` (singular, list[float]).
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# There is no `vectors` field. Several call sites historically
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# passed `vectors=` and crashed at runtime.
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assert _field_names(EntityEmbeddings) == {
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"entity",
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"vector",
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"chunk_id",
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}
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def test_chunk_embeddings_fields(self):
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# Same `vector` (singular) convention as EntityEmbeddings.
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assert _field_names(ChunkEmbeddings) == {
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"chunk_id",
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"vector",
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}
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def test_entity_context_fields(self):
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assert _field_names(EntityContext) == {
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"entity",
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"context",
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"chunk_id",
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}
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