debug 4 (#23)

- added pr (ff8dfc460324c81957f1d6047fdb9fbd6c0f51fb)

Ars/ai_functions.py

@@ -11,7 +11,7 @@ def extract_text_from_bytes(pdf_bytes: bytes) -> str:
 
 
             
-async def resume_analysis(contents) -> dict[str, str | ResumeData]:
+async def resume_analysis(contents) -> ResumeData:
     
     resume = extract_text_from_bytes(pdf_bytes=contents)
     if resume:

Ars/controllers.py

@@ -30,7 +30,7 @@ async def resilience_analysis(file:UploadFile,userId:str):
         flagged_risk =generate_flagged_risk_areas(resume=resume,skil_depth=skill_depth,risk=risk,ai_readiness=ai_readiness)
         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.model_dump(),"boost suggestion":boost_suggestion.model_dump(),"domain breakdown":domain_breakdown.model_dump(),"resume":resume,"skil_depth":skill_depth,"risk":risk,"ai_readiness":ai_readiness}
+        final_analysis_response ={"overall score": ResilienceScore,"flagged Risk": flagged_risk.model_dump(),"boost suggestion":boost_suggestion.model_dump(),"domain breakdown":domain_breakdown.model_dump(),"resume":resume.model_dump(),"skil_depth":skill_depth.model_dump(),"risk":risk.model_dump(),"ai_readiness":ai_readiness.model_dump()}
         resultId =await create_new_hashed_doc_entry(data={"hashed_doc":hashed_doc,"resume":final_analysis_response,"userId":userId})
         return {"final ": final_analysis_response,"result Id":resultId}
     else: