student_practic/vacancy_analyzer.py
2026-03-27 10:15:43 +03:00

82 lines
3.5 KiB
Python

import json
from collections import Counter
def load_vacancies(filepath: str) -> list[dict]:
try:
with open(filepath,"r") as file:
return json.load(file)
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]:
return [i for i in vacancies if all(skill.lower() in set(k.lower() for k in i.get('skills')) for skill in required_skills ) ]
def filter_by_salary(vacancies: list[dict], min_salary: int) -> list[dict]:
return [v for v in vacancies if v.get('salary_to') and v.get('salary_from') and v.get('salary_to')>= min_salary and v.get('salary_form')> min_salary]
def extract_unique_companies(vacancies: list[dict]) -> list[str]:
return {v.get('company') for v in vacancies if v.get('company')}
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', []))
skill_counts = Counter(all_skills)
return skill_counts.most_common(top_n)
def calculate_average_salary(vacancies: list[dict]) -> float:
if not vacancies:
return 0.0
else:
salaries = []
for v in vacancies:
salary_from = v.get('salary_from')
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)
if not salaries:
return 0.0
return sum(salaries) / len(salaries)
def group_by_company(vacancies: list[dict]) -> dict[str, int]:
all_company = []
for v in vacancies:
all_company.append(v.get('company'))
company_count = Counter(all_company)
return company_count
def format_vacancy_short(vacancy: dict) -> str:
salary_from = vacancy.get('salary_from')
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:
salary_str = f"от {salary_from}"
elif salary_to is not None:
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:
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("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)
if __name__ =="__main__":
#вход проги
main()