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Merge branch 'only_task'

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Crai-cry 2026-04-04 11:46:53 +03:00
commit e9754677c9
3 changed files with 47 additions and 51 deletions
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1
answer/1try.txt Normal file
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@ -0,0 +1 @@
ID 2: Data Engineer в Тинькофф, Москва — от 180000 до 250000ID 6: Senior Python Developer в Wildberries, Москва — от 200000 до 300000

24
data/test.json
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@ -1,9 +1,9 @@
[
{
"id": 1,
"title": "Python ðàçðàáîò÷èê",
"company": "ßíäåêñ",
"city": "Ìîñêâà",
"title": "Python разработчик",
"company": "Яндекс",
"city": "Москва",
"salary_from": 150000,
"salary_to": 200000,
"skills": ["Python", "SQL", "Django", "PostgreSQL"],
@ -12,8 +12,8 @@
{
"id": 2,
"title": "Data Engineer",
"company": "Òèíüêîôô",
"city": "Ìîñêâà",
"company": "Тинькофф",
"city": "Москва",
"salary_from": 180000,
"salary_to": 250000,
"skills": ["Python", "SQL", "Spark", "Airflow"],
@ -23,7 +23,7 @@
"id": 3,
"title": "Backend Developer",
"company": "Ozon",
"city": "Ñàíêò-Ïåòåðáóðã",
"city": "Санкт-Петербург",
"salary_from": 130000,
"salary_to": 170000,
"skills": ["Python", "FastAPI", "MongoDB"],
@ -32,8 +32,8 @@
{
"id": 4,
"title": "Data Analyst",
"company": "ßíäåêñ",
"city": "Ìîñêâà",
"company": "Яндекс",
"city": "Москва",
"salary_from": 140000,
"salary_to": 180000,
"skills": ["Python", "SQL", "Tableau"],
@ -42,8 +42,8 @@
{
"id": 5,
"title": "Junior Python Developer",
"company": "Ñáåð",
"city": "Ìîñêâà",
"company": "Сбер",
"city": "Москва",
"salary_from": 100000,
"salary_to": 130000,
"skills": ["Python", "SQL", "Git"],
@ -53,7 +53,7 @@
"id": 6,
"title": "Senior Python Developer",
"company": "Wildberries",
"city": "Ìîñêâà",
"city": "Москва",
"salary_from": 200000,
"salary_to": 300000,
"skills": ["Python", "SQL", "Kafka", "Kubernetes"],
@ -63,7 +63,7 @@
"id": 7,
"title": "Full Stack Developer",
"company": "Avito",
"city": "Ìîñêâà",
"city": "Москва",
"salary_from": 170000,
"salary_to": 220000,
"skills": ["Python", "JavaScript", "React", "SQL"],

73
vacancy_analyzer.py
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@ -1,28 +1,24 @@
import json
import os
import csv
from collections import Counter
def load_vacancies(filepath: str) -> list[dict]:
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]
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_from')> min_salary]
def extract_unique_companies(vacancies: list[dict]) -> list[str]:
return {v.get('company') for v in vacancies if v.get('company')}
return list({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', []))
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 +28,15 @@ 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 +46,7 @@ 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:
@ -63,32 +55,35 @@ 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}")
f"{vacancy.get('city')} — {salary_str}\n")
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")
try:
with open(filename,"w") as file:
file.writelines(format_vacancy_short(x) for x in vacancies)
return 0
except:
return 1
def main():
while (user_input != 11):
interface()
user_input = int(input("Chouse command: "))
user_chouse(user_input)
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("Уникальные компании: ", ", ".join(extract_unique_companies(filered_vacancies)))
top_skills = extract_top_skills(filered_vacancies, 5)
print(f"Топ-5 навыков:")
for skill, count in top_skills:
print(f" {skill}: {count} вакансий")
print(f"\nСредняя зарплата: {calculate_average_salary(filered_vacancies):,.0f} руб.")
for company, count in group_by_company(filered_vacancies).items():
print(f" {company}: {count} вакансий")
if(save_filtered_results(filered_vacancies,input("Write where to save"))):
print("Check your path")
else:
print("Everything is fine, the file is saved")
if __name__ =="__main__":
#вход проги
main()