Update extract_insights.py

extract_insights.py

@@ -213,74 +213,4 @@ async def process_synchronous_job(user_id,email,message_id,raw_text):
         .insert(json.loads(completion.choices[0].message.content))
         .execute()
     )
-    
-    return insert_data
-    # try:
-
-    #     openai_tasks = []
-    #     for ds in dataset.get('data'):
-    #         user_id = ds.get('user_id')
-            
-    #         message_id = ds.get('message_id')
-            
-    #         receipt_text = ds.get('receipt_text')
-    #         email = ds.get('email')
-            
-    #         text = adjust_prompt_tokens_v1(receipt_radar_prompt(receipt_text))
-            
-    #         task = {
-    #             "custom_id": f"{message_id}*{user_id}*{email}",
-    #             "method": "POST",
-    #             "url": "/v1/chat/completions",
-    #             "body": {
-    #                 "model": "gpt-4o-mini",
-    #                 "temperature": 0.1,
-    #                 "response_format": { 
-    #                     "type": "json_object"
-    #                 },
-    #                 "messages": [
-    #                     {
-    #                         "role": "user",
-    #                         "content": text
-    #                     }
-    #                 ]
-    #             }
-    #         }
-    #         openai_tasks.append(task)
-        
-    #     # Create batch file
-    #     json_obj = io.BytesIO()
-    #     for obj in openai_tasks:
-    #         json_obj.write((json.dumps(obj) + '\n').encode('utf-8'))
-        
-    #     batch_file = client.files.create(
-    #         file=json_obj,
-    #         purpose="batch"
-    #     )
-        
-    #     # Create batch job
-    #     batch_job = client.batches.create(
-    #         input_file_id=batch_file.id,
-    #         endpoint="/v1/chat/completions",
-    #         completion_window="24h"
-    #     )
-        
-    #     # Update status in Supabase
-    #     supabase.table("batch_processing_details").insert({
-    #         "batch_job_status": False,
-    #         "batch_job_id" : batch_job.id
-    #     }).execute()
-
-    #     for ds in dataset.get('data'):
-    #         user_id = ds.get('user_id')
-    #         message_id = ds.get('message_id')
-    #         email = ds.get('email')
-    #         supabase.table("gmail_receipts_data").update({"batch_id":batch_job.id}).eq('user_id',user_id).eq("message_id",message_id).eq("email",email).execute()
-    #     print("Batch sent for processing")        
-    # except Exception as e:
-    #     logger.error(f"Error processing batch job {batch_job_id}: {str(e)}")
-    #     # Update status with error
-    #     supabase.table("batch_processing_details").insert({
-    #         "batch_job_status": False,
-    #         "error": str(e)
-    #     }).execute()
+