debug backend

app.py

@@ -235,7 +235,6 @@
 # # http://localhost:8000/docs#/
 # # (.venv) PS C:\Users\antoi\Documents\Work_Learn\Labeling-Deploy\FastAPI> uvicorn main:app --host 0.0.0.0 --port 8000 --workers 1
 
-
 from fastapi import FastAPI, UploadFile, File, HTTPException
 import cv2
 import torch
@@ -430,10 +429,36 @@ def convertir_sequences_en_json(dataframe):
 #         raise HTTPException(status_code=500, detail=f"Failed to upload or analyze video: {str(e)}")
 
 
-# Endpoint pour analyser la vidéo via une URL
+# # Endpoint pour analyser la vidéo via une URL
+# @app.post("/analyze_video/")
+# async def analyze_video(user_name: str, video_url: Optional[str] = None):
+#     try:
+#         # Assurez-vous d'avoir une URL valide à ce stade
+#         if not video_url:
+#             raise HTTPException(status_code=400, detail="No valid video URL provided.")
+
+#         # Analyser la vidéo via l'URL
+#         dataframe_sequences = identifier_sequences_surfing(video_url, intervalle=1)
+#         json_result = convertir_sequences_en_json(dataframe_sequences)
+
+#         return {
+#             "message": "Video analyzed successfully!",
+#             "file_url": video_url,
+#             "analysis": json_result
+#         }
+
+#     except Exception as e:
+#         raise HTTPException(status_code=500, detail=f"Failed to analyze video: {str(e)}")
+
+
+
 @app.post("/analyze_video/")
 async def analyze_video(user_name: str, video_url: Optional[str] = None):
     try:
+        # Log for debugging purposes
+        print(f"Received user_name: {user_name}")
+        print(f"Received video_url: {video_url}")
+
         # Assurez-vous d'avoir une URL valide à ce stade
         if not video_url:
             raise HTTPException(status_code=400, detail="No valid video URL provided.")
@@ -449,10 +474,10 @@ async def analyze_video(user_name: str, video_url: Optional[str] = None):
         }
 
     except Exception as e:
+        print(f"Error during video analysis: {str(e)}")  # Log the error
         raise HTTPException(status_code=500, detail=f"Failed to analyze video: {str(e)}")
 
 
-
 # Fonction pour uploader une vidéo vers un dataset Hugging Face
 def upload_to_hf_dataset(user_name: str, video_path: str):
     dataset_name = "2nzi/Video-Sequence-Labeling"