Phase1/HuyDN: Update phase 1

app/modules/crud_question_test/models/crud_question_tests.py

@@ -1,12 +1,14 @@
+import uuid
 from app.configs.database import firebase_bucket, firebase_db
 
 # CRUD operation
 def upload_file_question_tests(file):
+    re_name_file = str(uuid.uuid4()).replace("-","_") + "_" + file.filename
     # upload file to firebase storage
-    blob = firebase_bucket.blob(file.filename)
+    blob = firebase_bucket.blob(re_name_file)
     blob.upload_from_file(file.file)
     # return gs link
-    return f"gs://{firebase_bucket.name}/{file.filename}"
+    return f"gs://{firebase_bucket.name}/{re_name_file}"
 
 def remove_file_question_tests(file_url):
     # remove file from firebase storage using "gs://" link

app/modules/question_tests_retrieval/__init__.py

@@ -2,7 +2,7 @@ from fastapi import APIRouter, UploadFile, File
 from typing import Annotated
 
 from app.modules.question_tests_retrieval.models.jd2text import jobdes2text
-from app.modules.question_tests_retrieval.models.text2tector import text2vector
+# from app.modules.question_tests_retrieval.models.text2tector import text2vector
 from app.modules.question_tests_retrieval.models.question_tests_logic import get_question_test
 
 qtretrieval_router = APIRouter(prefix="/qtretrieval", tags=["qtretrieval"])
@@ -15,15 +15,12 @@ async def index():
 # only upload .txt file
 async def send_jd(txt_file: Annotated[UploadFile, File(..., description="The JD file", media_type=["text/plain"])]):
     try:
-        # # read the txt file with format
-        # jobdes = txt_file.file.read().decode("utf-8")
-        # sumaryjd_text = jobdes2text(jobdes)
-        # print("sumaryjd_text: ", sumaryjd_text)
-        # sumaryjd_vector = text2vector(sumaryjd_text)
-        # print("sumaryjd_vector: ", sumaryjd_vector)
-        text = "Job Title is Senior AI Engineer, Level is Senior, and Brief summary of required skills is NLP, experiencing in using containers"
-        if get_question_test(text):
-            return {"message": "Send JD successfully and get question test successfully"}
+        # read the txt file with format
+        jobdes = txt_file.file.read().decode("utf-8")
+        sumaryjd_text = jobdes2text(jobdes)
+        if get_question_test(sumaryjd_text):
+            return {"message": "Send JD successfully and get question test successfully",
+                    "sumaryjd_text": sumaryjd_text}
         else:
             return {"message": "Error"}
     except Exception as e:

app/modules/question_tests_retrieval/models/question_tests_logic.py

@@ -25,10 +25,8 @@ def compare_vector(vector_extract, vector_des):
     for item in vector_des:
         two_object = (vector_extract, item)
         x = gemini_evaluator.evaluate_strings(prediction=two_object[0], reference=two_object[1])
-        # print(f"item and score: {item} - {x.get('score')}")
         if x.get('score') < maxnimun_value: 
             maxnimun_value = x.get('score')
-            print("maxnimun_value: ", maxnimun_value)
             des_item_choose = item
     if maxnimun_value == 2:
         return False