cahnges

app.py

@@ -55,10 +55,6 @@ class SkillDetails(BaseModel):
 class SkillData(BaseModel):
     filename: str 
          
-
-
-   
-
 nlp = spacy.load("en_core_web_lg")
     # init skill extractor
 skill_extractor = SkillExtractor(nlp, SKILL_DB, PhraseMatcher)
@@ -99,14 +95,14 @@ def uploadJobDescription(file: bytes =  File(...), FileName: str = "sample.pdf")
     df = pd.DataFrame(data)
     return parse_csv(df) 
 @app.get("/AllProfileMatchResults") 
-def ProfileMatchResults():
+def AllProfileMatchResults():
    dbQuery = "select * from profilematch"
    conn = psycopg2.connect(**db_params)   
    df = pd.read_sql_query(dbQuery, conn)
    return parse_csv(df) 
 
-@app.post("/UploadFile/")
-def UploadFileDetails(file_data: FileDetails):   
+@app.post("/UploadOpenText/")
+def UploadOpenText(file_data: FileDetails):   
    
    returnID = UploadOpenFile.uploadFile(file_data.filecontents,file_data.filename,db_params)
    file_data.filecontents = ""
@@ -116,8 +112,8 @@ def UploadFileDetails(file_data: FileDetails):
    return file_data
 
 
-@app.post("/ExtractSkills/")
-def ExtractSkills(skill_data: SkillDetails):
+@app.post("/ExtractSkillsByJobID/")
+def ExtractSkillsByJobID(skill_data: SkillDetails):
    returnSkills = SkillExtractorDetails.SkillExtract(db_params,skill_extractor,skill_data.skillid)     
    details = returnSkills.split('@')
    skill_data.requiredSkills = details[0]
@@ -125,11 +121,5 @@ def ExtractSkills(skill_data: SkillDetails):
    skill_data.goodToHaveSkills = details[1]
    return skill_data
 
-from datetime import datetime
-from typing import Union
-from typing import Any, Union
-from fastapi import FastAPI, Response
-@app.get("/portal")
-async def get_portal(teleport: bool = False) -> Response:
-   
-    return JSONResponse(content={"message": "Here's your interdimensional portal." , "mes1":"data2"})
+
+   #return JSONResponse(content={"message": "Here's your interdimensional portal." , "mes1":"data2"})