feat: 修复 AI 风险语义并隔离 Mock 数据

ai-service/app/main.py

@@ -6,7 +6,7 @@ import time
 from fastapi import FastAPI, File, HTTPException, Request, UploadFile
 
 from . import config
-from .detector import MockDetector, ONNXDetector
+from .detector import MockDetector, ONNXDetector, abnormal_probability, detection_status
 from .stream_tasks import StreamTaskWorker, is_allowed_stream_ref
 
 app = FastAPI(title="Silk AI Service", version="0.1.0")
@@ -36,7 +36,12 @@ else:
 
 @app.get("/health")
 def health():
-    return {"status": "ok", "model": config.MODEL_MODE}
+    return {
+        "status": "ok",
+        "model": config.MODEL_MODE,
+        "modelVersion": config.MODEL_VERSION,
+        "isMock": isinstance(detector, MockDetector),
+    }
 
 
 @app.post("/detect")
@@ -50,6 +55,10 @@ async def detect(file: UploadFile = File(...)):
         raise HTTPException(status_code=400, detail=str(exc)) from exc
     return {
         "model": config.MODEL_MODE,
+        "modelVersion": config.MODEL_VERSION,
+        "isMock": isinstance(detector, MockDetector),
+        "status": detection_status(detections, config.MODEL_LABELS),
+        "abnormalProbability": abnormal_probability(detections, config.MODEL_LABELS),
         "detections": [
             {
                 "bbox": d["bbox"],
@@ -112,6 +121,8 @@ def metrics():
             gpu = None
     return {
         "model": config.MODEL_MODE,
+        "modelVersion": config.MODEL_VERSION,
+        "isMock": isinstance(detector, MockDetector),
         "uptimeSeconds": int(time.time() - START_TIME),
         "requests": reqs,
         "avgLatencyMs": round(avg, 2),