Update app.py

app.py

@@ -929,62 +929,62 @@ DEFAULT_WITH_MODEL_NAME = True
 # Singleton Upscale instance for API
 _api_upscale = Upscale()
 
-# @fastapi_app.get("/health")
-# def health(_: bool = Depends(_verify_bearer_token)):
-#     return {"status": "ok"}
 @fastapi_app.get("/health")
-async def health(_: bool = Depends(_verify_bearer_token)):
-    checks = {
-        "api": "ok",
-        "gpu": "unknown",
-        "torch": "unknown",
-        "disk": "unknown",
-        "mongo": "skipped",
-        "weights_dir": "unknown",
-        "timestamp": datetime.utcnow().isoformat()
-    }
+def health(_: bool = Depends(_verify_bearer_token)):
+    return {"status": "ok"}
+# @fastapi_app.get("/health")
+# async def health(_: bool = Depends(_verify_bearer_token)):
+#     checks = {
+#         "api": "ok",
+#         "gpu": "unknown",
+#         "torch": "unknown",
+#         "disk": "unknown",
+#         "mongo": "skipped",
+#         "weights_dir": "unknown",
+#         "timestamp": datetime.utcnow().isoformat()
+#     }
 
-    errors = {}
+#     errors = {}
 
-    # -------- 1. TORCH & CUDA CHECK --------
-    try:
-        checks["torch"] = torch.__version__
-        checks["gpu"] = "available" if torch.cuda.is_available() else "cpu-only"
-        if torch.cuda.is_available():
-            checks["gpu_name"] = torch.cuda.get_device_name(0)
-            checks["gpu_mem_allocated_mb"] = int(torch.cuda.memory_allocated(0) / 1024 / 1024)
-    except Exception as e:
-        checks["gpu"] = "failed"
-        errors["gpu"] = str(e)
-    # -------- 2. MONGODB CHECK (OPTIONAL) --------
-    if _mongo_client is not None:
-        try:
-            def mongo_ping():
-                _mongo_client.admin.command("ping")
+#     # -------- 1. TORCH & CUDA CHECK --------
+#     try:
+#         checks["torch"] = torch.__version__
+#         checks["gpu"] = "available" if torch.cuda.is_available() else "cpu-only"
+#         if torch.cuda.is_available():
+#             checks["gpu_name"] = torch.cuda.get_device_name(0)
+#             checks["gpu_mem_allocated_mb"] = int(torch.cuda.memory_allocated(0) / 1024 / 1024)
+#     except Exception as e:
+#         checks["gpu"] = "failed"
+#         errors["gpu"] = str(e)
+#     # -------- 2. MONGODB CHECK (OPTIONAL) --------
+#     if _mongo_client is not None:
+#         try:
+#             def mongo_ping():
+#                 _mongo_client.admin.command("ping")
 
-            await run_in_threadpool(mongo_ping)
-            checks["mongo"] = "connected"
-        except Exception as e:
-            checks["mongo"] = "failed"
-            errors["mongo"] = str(e)
-    else:
-        checks["mongo"] = "not_configured"
+#             await run_in_threadpool(mongo_ping)
+#             checks["mongo"] = "connected"
+#         except Exception as e:
+#             checks["mongo"] = "failed"
+#             errors["mongo"] = str(e)
+#     else:
+#         checks["mongo"] = "not_configured"
 
-    # -------- FINAL STATUS --------
-    is_healthy = len(errors) == 0
+#     # -------- FINAL STATUS --------
+#     is_healthy = len(errors) == 0
 
-    if is_healthy:
-        checks["status"] = "healthy"
-        return checks
+#     if is_healthy:
+#         checks["status"] = "healthy"
+#         return checks
 
-    raise HTTPException(
-        status_code=503,
-        detail={
-            "status": "unhealthy",
-            "checks": checks,
-            "errors": errors
-        }
-    )
+#     raise HTTPException(
+#         status_code=503,
+#         detail={
+#             "status": "unhealthy",
+#             "checks": checks,
+#             "errors": errors
+#         }
+#     )
 @fastapi_app.get("/source")
 def source(_: bool = Depends(_verify_bearer_token)):
     return {