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feat(server): integrate MCP queries and investigation messaging

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Add project-bound OAuth MCP queries and controlled analysis with scoped evidence,
limits, timeouts and a nearby-model spatial query using EPSG:4326 inputs.
Default nearby searches to 200 meters and five results.

Integrate investigation messaging/presentation, health/readiness and typed history;
remove duplicate web search and fix online simulation and compressed baseline writes.
Include project migrations 023-025; keep local credentials and demo seeding excluded.

Validation: 319 focused pytest checks; real PostGIS temporary-table regression;
read-only Jinqian bridge radius comparison; cross-language MCP discovery/calls.
This commit is contained in:
jiang
2026-10-19 18:46:58 +08:00
parent 2b6fc5aa52
commit be6317eb48
117 changed files with 12703 additions and 638 deletions
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app/api/v1/endpoints/workbench_runtime.py
+2 -66
View File
@@ -129,72 +129,8 @@ async def workbench_runtime(
ctx: ProjectContext = Depends(get_project_context),
conn: AsyncConnection = Depends(get_project_pg_connection),
):
analysis_runs: list[dict] | None = None
latest_results: list[dict] | None = None
latest_analysis_map_payload: dict | None = None
analysis_availability = "not_configured"
alert_storage_configured = False
alerts: list[dict] | None = None
schedule_availability = "not_configured"
alert_availability = "not_configured"
try:
async with _projection_transaction(conn):
analysis_runs = await AnalysisRepository.list_recent_runs(conn, limit=100)
if analysis_runs:
latest_results = await AnalysisRepository.list_recent_results(
conn, analysis_runs[0]["run_id"], limit=100
)
analysis_availability = "ready" if analysis_runs else "not_configured"
except Exception:
logger.warning("Workbench analysis projection is unavailable", exc_info=True)
analysis_runs = None
latest_results = None
analysis_availability = "degraded"
if analysis_runs and latest_results:
try:
async with _projection_transaction(conn):
latest_analysis_map_payload = await _sensor_location_map_payload(
conn, latest_results
)
except Exception:
logger.warning(
"Workbench analysis spatial references are unavailable",
exc_info=True,
)
try:
async with _projection_transaction(conn):
operations_availability = await WorkbenchOperationsRepository.availability(conn)
alert_storage_configured = operations_availability.alerts
except Exception:
logger.warning("Workbench operations storage probe is unavailable", exc_info=True)
schedule_availability = "degraded"
alert_availability = "degraded"
if alert_storage_configured:
try:
async with _projection_transaction(conn):
alert_documents = await WorkbenchOperationsRepository.list_alerts(
conn, str(ctx.project_id)
)
alerts, invalid_alerts = _validate_documents(
alert_documents, WorkbenchPersistedAlert, "alert"
)
alert_availability = "degraded" if invalid_alerts else "ready"
except Exception:
alerts = None
alert_availability = "degraded"
logger.warning("Workbench alert projection is unavailable", exc_info=True)
return await build_workbench_runtime_snapshot(
analysis_runs=analysis_runs,
latest_analysis_results=latest_results,
latest_analysis_map_payload=latest_analysis_map_payload,
alert_storage_configured=alert_storage_configured,
persisted_alerts=alerts,
scenario_availability=analysis_availability,
artifact_availability=analysis_availability,
schedule_availability=schedule_availability,
alert_availability=alert_availability,
projection_degraded=False,
)
from app.services.workbench_runtime import read_workbench_runtime
return await read_workbench_runtime(ctx, conn)
async def _sensor_location_map_payload(