bugfix#3 (#19)

- Ars (11d9c6042dfa20e7eb42604f8961fccee03a9292)

Ars/controllers.py

@@ -31,7 +31,9 @@ async def resilience_analysis(file:UploadFile,userId:str):
         boost_suggestion = generate_boost_suggestion(resume=resume,skil_depth=skill_depth,risk=risk,ai_readiness=ai_readiness)
         domain_breakdown = generate_domain_breakdown(resume=resume,skil_depth=skill_depth,risk=risk,ai_readiness=ai_readiness)
         final_analysis_response ={"overall score": ResilienceScore,"flagged Risk": flagged_risk,"boost suggestion":boost_suggestion,"domain breakdown":domain_breakdown,"resume":resume,"skil_depth":skill_depth,"risk":risk,"ai_readiness":ai_readiness}
-        await create_new_hashed_doc_entry(data={"hashed_doc":hashed_doc,"resume":final_analysis_response,"userId":userId})
-        return final_analysis_response
+        resultId =await create_new_hashed_doc_entry(data={"hashed_doc":hashed_doc,"resume":final_analysis_response,"userId":userId})
+        if resultId['error']==None:
+            return final_analysis_response
+        
     else:
         return check

Ars/repositories.py

@@ -10,8 +10,8 @@ async def create_new_hashed_doc_entry(data: dict):
     
     try:
         # Attempt to insert the document, ensuring hashed_doc is unique due to the index
-        result = await db.resume_resilience_analysis.insert_one(data)
-        return {"inserted_id": result.inserted_id}  # Return the inserted ID
+        result = await db.resume_resilience_analysis.insert_one(document=data)
+        return {"inserted_id": result.inserted_id,"error":None}  # Return the inserted ID
     except pymongo.errors.DuplicateKeyError:
         # Handle the case where a document with the same 'hashed_doc' already exists
         return {"error": "Document with this 'hashed_doc' already exists"}