delet all what dont need

vacancy_analyzer.py

@@ -9,7 +9,6 @@ def load_vacancies(filepath: str) -> list[dict]:
     except:
         print()    
         return []
-
 def filter_by_city(vacancies: list[dict], city: str) -> list[dict]:
     return [i for i in vacancies if i.get('city','').lower() == city.lower()]
 def filter_by_skills(vacancies: list[dict], required_skills: list[str]) -> list[dict]:
@@ -21,8 +20,7 @@ def extract_unique_companies(vacancies: list[dict]) -> list[str]:
 def extract_top_skills(vacancies: list[dict], top_n: int) -> list[tuple[str, int]]:
     all_skills = []
     for v in vacancies:
-        all_skills.extend(v.get('skills', []))
-    
+        all_skills.extend(v.get('skills', [])) 
     skill_counts = Counter(all_skills)
     return skill_counts.most_common(top_n)
 def calculate_average_salary(vacancies: list[dict]) -> float:
@@ -32,18 +30,15 @@ def calculate_average_salary(vacancies: list[dict]) -> float:
         salaries = []
         for v in vacancies:
             salary_from = v.get('salary_from')
-            salary_to = v.get('salary_to')
-            
+            salary_to = v.get('salary_to')          
             if salary_from is not None and salary_to is not None:
                 salaries.append((salary_from + salary_to) / 2)
             elif salary_from is not None:
                 salaries.append(salary_from)
             elif salary_to is not None:
-                salaries.append(salary_to)
-        
+                salaries.append(salary_to)        
         if not salaries:
-            return 0.0
-        
+            return 0.0       
         return sum(salaries) / len(salaries)
 def group_by_company(vacancies: list[dict]) -> dict[str, int]:
     all_company = []
@@ -53,8 +48,7 @@ def group_by_company(vacancies: list[dict]) -> dict[str, int]:
     return company_count
 def format_vacancy_short(vacancy: dict) -> str:
     salary_from = vacancy.get('salary_from')
-    salary_to = vacancy.get('salary_to')
-    
+    salary_to = vacancy.get('salary_to')  
     if salary_from is not None and salary_to is not None:
         salary_str = f"от {salary_from} до {salary_to}"
     elif salary_from is not None:
@@ -63,31 +57,16 @@ def format_vacancy_short(vacancy: dict) -> str:
         salary_str = f"до {salary_to}"
     else:
         salary_str = "зарплата не указана"
-    
     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 
-def interface():
-    os.system('cls' if os.name == 'nt' else 'clear')
-    print ("Your command:")
-    print ("1. Load form json\n2. Filter by city\n3. Filter by skils\n4. Filter by salary")
-    print ("5. Extract unique companies\n6. Extract top skills\n7. Calculate average salary")
-    print ("8. Group by company\n9. Format vacancy short\n10. Save filtred results\n11. Exit")
-def user_chouse(user_input:int):
-    match user_input:
-        case 1:
 
-            return load_vacancies(input("Path for json: "))
-        case 11:
-            return
-        case _:
-            print ("Error uncorrecteble number")
 def main():
-    while (user_input != 11):
-        interface()
-        user_input = int(input("Chouse command: "))
-        user_chouse(user_input)
+    main_list=load_vacancies(input("Print path for json:"))
+    
+
+        
 
 if __name__ =="__main__":
     #вход проги