Merge pull request #911 from ruvnet/fix/ci-v1-api-mock-mode

ci(v1-api): MOCK_POSE_DATA + declare psutil — green Performance Tests & API Docs
fix(deps): declare psutil in requirements.txt — green API Documentation CI
2026-06-09 10:13:17 +00:00 · 2026-06-02 06:20:21 -04:00 · 2026-06-02 12:11:55 +02:00 · 2026-06-02 12:04:58 +02:00 · 2026-06-02 05:50:25 -04:00 · 2026-06-02 11:42:52 +02:00
3 changed files with 19 additions and 3 deletions
@@ -269,6 +269,10 @@ jobs:

    - name: Start application
      working-directory: archive/v1
+      env:
+        # No CSI hardware in CI — serve mock pose data so the pose endpoints
+        # respond 200 under load instead of erroring "requires real CSI data".
+        MOCK_POSE_DATA: "true"
      run: |
        uvicorn src.api.main:app --host 0.0.0.0 --port 8000 &
        sleep 10
@@ -384,6 +388,8 @@ jobs:

    - name: Generate OpenAPI spec
      working-directory: archive/v1
+      env:
+        MOCK_POSE_DATA: "true"   # no CSI hardware in CI
      run: |
        python -c "
        from src.api.main import app
@@ -107,16 +107,25 @@ class PoseService:
    async def _initialize_models(self):
        """Initialize neural network models."""
        try:
-            # Initialize DensePose model
+            # Initialize DensePose model. DensePoseHead requires a config
+            # dict — input_channels matches the modality translator's output
+            # (256), with the standard DensePose 24 body parts and 2 (U,V)
+            # coordinates. (Previously called with no args → TypeError at
+            # startup, which broke the API service.)
+            densepose_config = {
+                'input_channels': 256,
+                'num_body_parts': 24,
+                'num_uv_coordinates': 2,
+            }
            if self.settings.pose_model_path:
-                self.densepose_model = DensePoseHead()
+                self.densepose_model = DensePoseHead(densepose_config)
                # Load model weights if path is provided
                # model_state = torch.load(self.settings.pose_model_path)
                # self.densepose_model.load_state_dict(model_state)
                self.logger.info("DensePose model loaded")
            else:
                self.logger.warning("No pose model path provided, using default model")
-                self.densepose_model = DensePoseHead()
+                self.densepose_model = DensePoseHead(densepose_config)
            
            # Initialize modality translation
            config = {
@@ -36,3 +36,4 @@ scikit-learn>=1.2.0

 # Monitoring dependencies
 prometheus-client>=0.16.0
+psutil>=5.9.0  # system metrics — imported by health.py / metrics.py / status.py / monitoring.py
Author	SHA1	Message	Date
rUv	5038e3c8e1	Merge pull request #911 from ruvnet/fix/ci-v1-api-mock-mode ci(v1-api): MOCK_POSE_DATA + declare psutil — green Performance Tests & API Docs	2026-06-02 06:20:21 -04:00
ruv	e239af3636	fix(deps): declare psutil in requirements.txt — green API Documentation CI The API Documentation job (and any env without locust) failed with `ModuleNotFoundError: No module named 'psutil'` when importing the app: psutil is imported by src/api/routers/health.py, services/metrics.py, commands/status.py, and tasks/monitoring.py, but was never declared as a dependency — it only happened to be present where locust (Performance Tests) pulled it in transitively. Declare it explicitly (psutil>=5.9.0). Verified locally: `from src.api.main import app; app.openapi()` (the exact docs-job operation) now succeeds.	2026-06-02 12:11:55 +02:00
ruv	4856afbd0c	ci(v1-api): run Performance Tests + API Docs with MOCK_POSE_DATA=true After the DensePoseHead startup fix (#910), the v1 API starts, but the Performance Tests load-hit the pose endpoints which error "requires real CSI data" (no hardware in CI, mock_pose_data defaults False), and the API-docs job imports the app the same way. Set MOCK_POSE_DATA=true on both jobs so they exercise the mock path. Verified: the env var maps to settings.mock_pose_data=True (pydantic, no env_prefix). (Note: Performance Tests is continue-on-error so this is cleanup, not a run-blocker; the run-level red on main has been transient Docker Hub pull timeouts on Tests/docker-build, which are infra flakes that pass on re-run.)	2026-06-02 12:04:58 +02:00
rUv	4d205a05c4	Merge pull request #910 from ruvnet/fix/v1-pose-service-densepose-config fix(v1-api): pass required config to DensePoseHead — green main CI	2026-06-02 05:50:25 -04:00
ruv	bc42ae7903	fix(v1-api): pass required config to DensePoseHead — green main CI The "Continuous Integration" workflow (Performance Tests + API Documentation jobs) has failed on every main commit since the API start path was exercised: pose_service._initialize_models() called `DensePoseHead()` with no args, but DensePoseHead.__init__ requires a config dict → "TypeError: DensePoseHead.__init__() missing 1 required positional argument: 'config'" → uvicorn "Application startup failed". Pass a config: input_channels=256 (matches the modality translator's output), num_body_parts=24 (DensePose standard), num_uv_coordinates=2. Both call sites (with/without pose_model_path) fixed. Verified locally: DensePoseHead(config) + ModalityTranslationNetwork(config) both construct + eval, clearing the startup TypeError.	2026-06-02 11:42:52 +02:00