added more detailed loging

backend/ml_models/api.py

@@ -129,7 +129,7 @@ class ModelApi:
 
     async def predict_async(self, file_location, model_prefix: str):
         """Makes an asynchronous POST request to the Model API with the provided parameters."""
-        logger.info(f"Making request to {model_prefix} change api")
+        logger.info(f"Making request to {model_prefix} model API")
         url = f"{self.base_url}/{self.MODEL_URLS[model_prefix]}/predict"
         payload = {
             "file_location": file_location,
@@ -144,12 +144,26 @@ class ModelApi:
                     url, json=payload, headers={"Content-Type": "application/json"}, timeout=120
                 ) as response:
                     text = await response.text()
+
                     if response.status != 200:
-                        logger.error(f"{model_prefix} | Status {response.status} | Body:\n{text}")
-                    response.raise_for_status()
-                    return await response.json()
+                        logger.error(
+                            f"\n--- API ERROR [{model_prefix}] ---\n"
+                            f"Status Code: {response.status}\n"
+                            f"URL: {url}\n"
+                            f"Payload: {payload}\n"
+                            f"Response Text:\n{text}\n"
+                            f"----------------------------"
+                        )
+                        return None
+
+                    # Successful response
+                    return aiohttp.helpers.json.loads(text)
+
             except aiohttp.ClientError as e:
-                logger.error(f"An error occurred: {e}")
+                logger.error(f"[{model_prefix}] HTTP error: {e}")
+                return None
+            except Exception as e:
+                logger.exception(f"[{model_prefix}] Unexpected error: {e}")
                 return None
 
     @staticmethod