[AZ-173] [AZ-174] Stream-based detection API and DB-driven AI config

Made-with: Cursor

e2e/mocks/annotations/app.py

@@ -1,3 +1,5 @@
+import os
+
 from flask import Flask, request
 
 app = Flask(__name__)
@@ -25,6 +27,35 @@ def auth_refresh():
     return {"token": "refreshed-test-token"}
 
 
+@app.route("/api/users/<user_id>/ai-settings", methods=["GET"])
+def user_ai_settings(user_id):
+    if _fail():
+        return "", 503
+    return {
+        "frame_period_recognition": 4,
+        "frame_recognition_seconds": 2,
+        "probability_threshold": 0.25,
+        "tracking_distance_confidence": 0.1,
+        "tracking_probability_increase": 0.1,
+        "tracking_intersection_threshold": 0.6,
+        "model_batch_size": 8,
+        "big_image_tile_overlap_percent": 20,
+        "altitude": 400,
+        "focal_length": 24,
+        "sensor_width": 23.5,
+    }
+
+
+@app.route("/api/media/<media_id>", methods=["GET"])
+def media_path(media_id):
+    if _fail():
+        return "", 503
+    root = os.environ.get("MEDIA_DIR", "/media")
+    if media_id.startswith("sse-") or media_id.startswith("video-"):
+        return {"path": f"{root}/video_test01.mp4"}
+    return {"path": f"{root}/image_small.jpg"}
+
+
 @app.route("/mock/config", methods=["POST"])
 def mock_config():
     global _mode