10/10 func

vacancy_analyzer.py

@@ -1,6 +1,4 @@
 import json
-import os
-import csv
 from collections import Counter
 def load_vacancies(filepath: str) -> list[dict]:
     try:
@@ -60,11 +58,22 @@ def format_vacancy_short(vacancy: dict) -> str:
     return (f"ID {vacancy.get('id')}: {vacancy.get('title')} в {vacancy.get('company')}, "
             f"{vacancy.get('city')} — {salary_str}")
 def save_filtered_results(vacancies: list[dict], filename: str) -> bool:
-    return 
-
+    try:
+        with open(filename,"w") as file:
+            file.writelines(format_vacancy_short(x) for x in vacancies)
+        return 0
+    except:
+        return 1
 def main():
-    main_list=load_vacancies(input("Print path for json:"))
-    
+    main_list=load_vacancies(input("Write path for json:"))
+    filered_vacancies = filter_by_city(main_list,input("Write city"))
+    skils_list=[]
+    for i in range(int(input("Write number of skills: "))):
+        skils_list.append(input(f"Write №{i + 1} skill: "))
+    filered_vacancies=filter_by_skills(filered_vacancies,skils_list)
+    filered_vacancies = filter_by_salary(filered_vacancies,int(input("Write salary: ")))
+    print(format_vacancy_short(x) for x in filered_vacancies)
+