Add model asset detection workflow smoke

2026-07-06 23:55:58 +02:00
parent 0ca3f93fbc
commit b2fe7fa8bb
9 changed files with 376 additions and 0 deletions
@@ -135,6 +135,22 @@ The model-load smoke is opt-in, requires real optional AI dependencies, refuses
 `--assume-dependencies`, loads only the supplied local file and does not download
 weights or run prediction.

+Verify the full configured-YOLO model asset workflow against a running runtime:
+
+```bash
+bash scripts/verify_model_asset_detection_workflow.sh http://192.168.10.150:1202
+```
+
+This smoke is intentionally mutating and requires a real AI-enabled runtime with
+at least one mounted local model asset. It seeds the explicit offline demo
+workflow, generates a small raster tile manifest, selects the active local model
+asset from `GET /api/v1/detection/model-assets`, validates read-only YOLO
+preflight, runs `POST /api/v1/detection/run`, and verifies the persisted
+AnalysisRun, Detection list and Detection GeoJSON endpoints. A zero detection
+count is allowed because the demo raster is a synthetic runtime fixture; the
+script validates the operational path and provenance, not production model
+quality. The main readiness gate checks this script's syntax only.
+
 Docker images install only the GIS runtime by default. To build a local/Tower
 image with PyTorch/Ultralytics available for the configured-YOLO preflight and
 runtime path, set: