[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

e2e/requirements.txt

@@ -3,3 +3,5 @@ pytest-csv
 requests==2.32.4
 sseclient-py
 pytest-timeout
+flask
+gunicorn

e2e/tests/test_async_sse.py

@@ -1,35 +1,17 @@
 import json
-import os
 import threading
 import time
 import uuid
 
 import pytest
 
-_MEDIA = os.environ.get("MEDIA_DIR", "/media")
-
 
 def _ai_config_video() -> dict:
-    return {
-        "probability_threshold": 0.25,
-        "tracking_intersection_threshold": 0.6,
-        "altitude": 400,
-        "focal_length": 24,
-        "sensor_width": 23.5,
-        "paths": [f"{_MEDIA}/video_test01.mp4"],
-        "frame_period_recognition": 4,
-        "frame_recognition_seconds": 2,
-    }
+    return {}
 
 
 def _ai_config_image() -> dict:
-    return {
-        "probability_threshold": 0.25,
-        "altitude": 400,
-        "focal_length": 24,
-        "sensor_width": 23.5,
-        "paths": [f"{_MEDIA}/image_small.jpg"],
-    }
+    return {}
 
 
 def test_ft_p08_immediate_async_response(

e2e/tests/test_video.py

@@ -20,20 +20,9 @@ def _make_jwt() -> str:
 
 
 @pytest.fixture(scope="module")
-def video_events(warm_engine, http_client, video_short_path):
+def video_events(warm_engine, http_client):
     media_id = f"video-{uuid.uuid4().hex}"
-    body = {
-        "probability_threshold": 0.25,
-        "frame_period_recognition": 4,
-        "frame_recognition_seconds": 2,
-        "tracking_distance_confidence": 0.1,
-        "tracking_probability_increase": 0.1,
-        "tracking_intersection_threshold": 0.6,
-        "altitude": 400.0,
-        "focal_length": 24.0,
-        "sensor_width": 23.5,
-        "paths": [video_short_path],
-    }
+    body = {}
     token = _make_jwt()
 
     collected: list[tuple[float, dict]] = []