change

SkillExtractV1.py

@@ -39,7 +39,7 @@ class SkillExtractorDetailsV1:
                 # skill_Typelst.append(skill_type)
                 # skill_Scorelst.append(skill_score)
             else:
-                print('----'+ result)    
+                print('Weightage zero skill-'+ skill_name)    
         # list_of_tuples = list(zip(skills_list, skill_Typelst,skill_Scorelst))        
         # df = pd.DataFrame(list_of_tuples,
         #           columns=['Skill_Name', 'Skill_Type','Skill_Score'])
@@ -72,7 +72,7 @@ class SkillExtractorDetailsV1:
                 if(SkillExtractorDetailsV1.skill_Validate(df,ds.strip())):                
                     job_roles.append(ds) 
                     #SkillExtractorDetails.GetSkillId(ds.strip(),JdMasterid,db_params)
-                    print("Skills Identified* : " + ds)   
+                    print("Additional Skills : " + ds)   
             except Exception as error:
                 test = 1
         return job_roles 

app.py

@@ -54,49 +54,9 @@ def parse_csv(df):
 @app.post("/UploadJobDescription/")
 def UploadJobDescription(file: bytes =  File(...), FileName: str = "sample.pdf"):   
     text= ExtractContentFromFile.ExtractDataFromFile(FileName,file)
-    returnID = UploadOpenFile.uploadFile(text,FileName,db_params,True)
-    returnSkills = SkillExtractorDetails.SkillExtract(db_params,skill_extractor,returnID,True)     
-    details = returnSkills.split('@')
-    data = {'Data':['Required Skills', 'Soft Skills', 'Good to have Skills'], 'Values':[details[0], details[1], details[2]]}
-    df = pd.DataFrame(data)
-    return parse_csv(df) 
-
-@app.post("/UploadJobDescriptionV1/")
-def UploadJobDescriptionV1(file: bytes =  File(...), FileName: str = "sample.pdf"):   
-    text= ExtractContentFromFile.ExtractDataFromFile(FileName,file)
-    #returnID = UploadOpenFile.uploadFile(text,FileName,db_params,True)
     returnSkills = SkillExtractorDetailsV1.GetSkillData(skill_extractor,text,db_params)     
-    #details = returnSkills.split('@')
-    #data = {'Data':['Required Skills', 'Soft Skills', 'Good to have Skills'], 'Values':[details[0], details[1], details[2]]}
-    #df = pd.DataFrame(data)
     return parse_csv(returnSkills) 
 
-@app.get("/AllProfileMatchResults") 
-def AllProfileMatchResults():
-   dbQuery = "select * from profilematch"
-   conn = psycopg2.connect(**db_params)   
-   df = pd.read_sql_query(dbQuery, conn)
-   return parse_csv(df) 
-
-@app.get("/UploadJobDescriptionOpenText/")
-def UploadOpenText(text : str, filename : str):   
-   
-   returnID = UploadOpenFile.uploadFile(text,filename,db_params,True)
-   returnSkills = SkillExtractorDetails.SkillExtract(db_params,skill_extractor,returnID,True)
-   data = SkillMatch.SkillMatcher(model,db_params,returnID).split(';')
-   dataJson = {'Data':['Best Resume Fit', 'Score', 'ProfileID'], 'Values':[data[0], data[1], data[2]]}
-   df = pd.DataFrame(dataJson)
-   return parse_csv(df) 
-
-
-@app.post("/ExtractSkillsByJobID/")
-def ExtractSkillsByJobID(skill_data: ClassModals.Modals.SkillDetails):
-   returnSkills = SkillExtractorDetails.SkillExtract(db_params,skill_extractor,skill_data.skillid)     
-   details = returnSkills.split('@')
-   skill_data.requiredSkills = details[0]
-   skill_data.softSkills = details[1]
-   skill_data.goodToHaveSkills = details[1]
-   return skill_data
 
 @app.delete("/RemoveSkillsByName/")
 def RemoveSkills(SkillName : str):    
@@ -108,43 +68,5 @@ def AddSkills(Skills : ClassModals.Modals.AddSkillDetails):
     skilldetailsStr = Skills.SkillName + ',' + Skills.SkillType + ',' + str(Skills.SkillScore)    
     return AddSkill.AddSkillDetails(db_params,skilldetailsStr)
 
-
-@app.post("/UploadProfileFromFile/")
-def UploadProfileFromFile(file: bytes =  File(...), FileName: str = "sample.pdf"):    
-    text= ExtractContentFromFile.ExtractDataFromFile(FileName,file)
-    returnID = UploadOpenFile.uploadFile(text,FileName,db_params,False) 
-    returnSkills = SkillExtractorDetails.SkillExtract(db_params,skill_extractor,returnID,False)     
-    details = returnSkills.split('@')
-    data = {'Data':['Required Skills', 'Soft Skills', 'Good to have Skills'], 'Values':[details[0], details[1], details[2]]}
-    df = pd.DataFrame(data)
-    return parse_csv(df) 
-
-class FileText(BaseModel):
-    text: int 
-    fname: str
-    
-@app.get("/UploadProfileOpenText/")
-def UploadProfileOpenText(text : str, filename : str):    
-
-    #text= ExtractContentFromFile.ExtractDataFromFile(FileName,file)
-    returnID = UploadOpenFile.uploadFile(text,filename,db_params,False) 
-    returnSkills = SkillExtractorDetails.SkillExtract(db_params,skill_extractor,returnID,False)     
-    details = returnSkills.split('@')
-    data = {'Data':['Required Skills', 'Soft Skills', 'Good to have Skills'], 'Values':[details[0], details[1], details[2]]}
-    df = pd.DataFrame(data)
-    return parse_csv(df) 
-
-@app.get("/GetMatchProfileByJobId/")
-def GetMatchProfileByJobId(JobId : int):    
-    data = SkillMatch.SkillMatcher(model,db_params,JobId).split(';')
-    dataJson = {'Data':['Best Resume Fit', 'Score', 'ProfileID'], 'Values':[data[0], data[1], data[2]]}
-    df = pd.DataFrame(dataJson)
-    return parse_csv(df) 
-
-
-@app.get("/GetOpenAPIResponse/")
-def GetOpenAPIResponse(query:str, content:str):
-    return OpenAIText.OpenAITextResponse(query,content)
-    
 #return JSONResponse(content={"message": "Here's your interdimensional portal." , "mes1":"data2"})
 #https://vaibhav84-resumeapi.hf.space/docs