trustgraph/specs/api/paths/flow/structured-query.yaml
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
4.1 KiB
YAML

post:
tags:
- Flow Services
summary: Structured Query - question to results (all-in-one)
description: |
Ask natural language questions and get results directly.
## Structured Query Overview
Combines two operations in one call:
1. **NLP Query**: Generate GraphQL from question
2. **Rows Query**: Execute generated query
3. **Return Results**: Direct answer data
Simplest way to query knowledge graph with natural language.
## Comparison with Other Services
### Structured Query (this service)
- **Input**: Natural language question
- **Output**: Query results (data)
- **Use when**: Want simple, direct answers
### NLP Query + Rows Query (separate calls)
- **Step 1**: Convert question → GraphQL
- **Step 2**: Execute GraphQL → results
- **Use when**: Need to inspect/modify query before execution
### Triples Query (low-level)
- **Input**: RDF pattern
- **Output**: Matching triples
- **Use when**: Need precise control over graph queries
## Response Format
Returns standard GraphQL response:
- **data**: Query results (null if error)
- **errors**: Field-level errors (array of strings)
- **error**: System-level error (generation or execution failure)
## Error Handling
Three types of errors:
1. **Query generation failed**: Couldn't understand question
- Error in `error` object
- data = null
2. **Query execution failed**: Generated query had errors
- Errors in `errors` array
- data may be partial
3. **System error**: Infrastructure issue
- Error in `error` object
## Performance
Convenience vs control trade-off:
- **Faster development**: One call instead of two
- **Less control**: Can't inspect/modify generated query
- **Simpler code**: No need to handle intermediate steps
operationId: structuredQueryService
security:
- bearerAuth: []
parameters:
- name: flow
in: path
required: true
schema:
type: string
description: Flow instance ID
example: my-flow
requestBody:
required: true
content:
application/json:
schema:
$ref: '../../components/schemas/query/StructuredQueryRequest.yaml'
examples:
simpleQuestion:
summary: Simple relationship question
value:
question: Who does Alice know?
collection: research
complexQuestion:
summary: Complex multi-hop question
value:
question: What companies employ engineers that Bob collaborates with?
collection: work
filterQuestion:
summary: Question with implicit filters
value:
question: Which researchers work on quantum computing?
responses:
'200':
description: Successful response
content:
application/json:
schema:
$ref: '../../components/schemas/query/StructuredQueryResponse.yaml'
examples:
successfulQuery:
summary: Successful query with results
value:
data:
person:
name: Alice
knows:
- name: Bob
email: bob@example.com
- name: Carol
email: carol@example.com
errors: []
partialResults:
summary: Partial results with errors
value:
data:
person:
name: Alice
knows: null
errors:
- Cannot query field 'nonexistent' on type 'Person'
generationFailed:
summary: Query generation failed
value:
data: null
errors: []
error:
type: QUERY_GENERATION_ERROR
message: Could not understand question structure
'401':
$ref: '../../components/responses/Unauthorized.yaml'
'500':
$ref: '../../components/responses/Error.yaml'