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

63
vacancy_analyzer.py
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@ -1,28 +1,24 @@
import json import json
import os
import csv
from collections import Counter from collections import Counter
def load_vacancies(filepath: str) -> list[dict]: def load_vacancies(filepath: str) -> list[dict]:
try: try:
with open(filepath,"r") as file: with open(filepath,"r") as file:
return json.load(file) return json.load(file)
except: except:
print() print()
return [] return []
def filter_by_city(vacancies: list[dict], city: str) -> list[dict]: def filter_by_city(vacancies: list[dict], city: str) -> list[dict]:
return [i for i in vacancies if i.get('city','').lower() == city.lower()] 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]: 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 ) ] 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]: 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]: 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]]: def extract_top_skills(vacancies: list[dict], top_n: int) -> list[tuple[str, int]]:
all_skills = [] all_skills = []
for v in vacancies: for v in vacancies:
all_skills.extend(v.get('skills', [])) all_skills.extend(v.get('skills', []))
skill_counts = Counter(all_skills) skill_counts = Counter(all_skills)
return skill_counts.most_common(top_n) return skill_counts.most_common(top_n)
def calculate_average_salary(vacancies: list[dict]) -> float: def calculate_average_salary(vacancies: list[dict]) -> float:
@ -33,17 +29,14 @@ def calculate_average_salary(vacancies: list[dict]) -> float:
for v in vacancies: for v in vacancies:
salary_from = v.get('salary_from') 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: if salary_from is not None and salary_to is not None:
salaries.append((salary_from + salary_to) / 2) salaries.append((salary_from + salary_to) / 2)
elif salary_from is not None: elif salary_from is not None:
salaries.append(salary_from) salaries.append(salary_from)
elif salary_to is not None: elif salary_to is not None:
salaries.append(salary_to) salaries.append(salary_to)
if not salaries: if not salaries:
return 0.0 return 0.0
return sum(salaries) / len(salaries) return sum(salaries) / len(salaries)
def group_by_company(vacancies: list[dict]) -> dict[str, int]: def group_by_company(vacancies: list[dict]) -> dict[str, int]:
all_company = [] all_company = []
@ -54,7 +47,6 @@ def group_by_company(vacancies: list[dict]) -> dict[str, int]:
def format_vacancy_short(vacancy: dict) -> str: def format_vacancy_short(vacancy: dict) -> str:
salary_from = vacancy.get('salary_from') 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: if salary_from is not None and salary_to is not None:
salary_str = f"от {salary_from} до {salary_to}" salary_str = f"от {salary_from} до {salary_to}"
elif salary_from is not None: elif salary_from is not None:
@ -63,32 +55,35 @@ def format_vacancy_short(vacancy: dict) -> str:
salary_str = f"до {salary_to}" salary_str = f"до {salary_to}"
else: else:
salary_str = "зарплата не указана" salary_str = "зарплата не указана"
return (f"ID {vacancy.get('id')}: {vacancy.get('title')} в {vacancy.get('company')}, " 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: def save_filtered_results(vacancies: list[dict], filename: str) -> bool:
return try:
def interface(): with open(filename,"w") as file:
os.system('cls' if os.name == 'nt' else 'clear') file.writelines(format_vacancy_short(x) for x in vacancies)
print ("Your command:") return 0
print ("1. Load form json\n2. Filter by city\n3. Filter by skils\n4. Filter by salary") except:
print ("5. Extract unique companies\n6. Extract top skills\n7. Calculate average salary") return 1
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(): def main():
while (user_input != 11): main_list=load_vacancies(input("Write path for json:"))
interface() filered_vacancies = filter_by_city(main_list,input("Write city"))
user_input = int(input("Chouse command: ")) skils_list=[]
user_chouse(user_input) 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__": if __name__ =="__main__":
#вход проги #вход проги
main() main()