88 lines
3.4 KiB
Python
88 lines
3.4 KiB
Python
from datetime import datetime
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from typing import Annotated
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from fastapi import Depends
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from app.models.interview_report import InterviewReport
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from app.repositories.interview_reports_repository import InterviewReportRepository
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class InterviewReportService:
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def __init__(
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self,
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report_repo: Annotated[
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InterviewReportRepository, Depends(InterviewReportRepository)
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],
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):
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self.report_repo = report_repo
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async def get_report_by_session(self, session_id: int) -> InterviewReport | None:
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"""Получить отчёт по ID сессии"""
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return await self.report_repo.get_by_session_id(session_id)
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async def get_reports_by_vacancy(self, vacancy_id: int) -> list[InterviewReport]:
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"""Получить все отчёты по вакансии"""
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return await self.report_repo.get_by_vacancy_id(vacancy_id)
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async def update_report_scores(self, report_id: int, scores: dict) -> bool:
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"""
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Обновить оценки отчёта.
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Пример scores:
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{
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"technical_skills_score": 8,
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"communication_score": 7,
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"overall_score": 8
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}
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"""
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return await self.report_repo.update_scores(report_id, scores)
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async def update_pdf_url(self, report_id: int, pdf_url: str) -> bool:
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"""Обновить ссылку на PDF отчёта"""
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return await self.report_repo.update_pdf_url(report_id, pdf_url)
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async def update_interviewer_notes(self, report_id: int, notes: str) -> bool:
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"""Обновить заметки интервьюера"""
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return await self.report_repo.update_notes(report_id, notes)
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async def create_report(
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self,
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interview_session_id: int,
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technical_skills_score: int,
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experience_relevance_score: int,
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communication_score: int,
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problem_solving_score: int,
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cultural_fit_score: int,
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overall_score: int,
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recommendation: str,
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strengths: dict | None = None,
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weaknesses: dict | None = None,
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red_flags: dict | None = None,
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next_steps: str | None = None,
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interviewer_notes: str | None = None,
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pdf_report_url: str | None = None,
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) -> InterviewReport | None:
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"""Создать новый отчёт для сессии"""
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try:
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report_data = {
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"interview_session_id": interview_session_id,
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"technical_skills_score": technical_skills_score,
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"experience_relevance_score": experience_relevance_score,
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"communication_score": communication_score,
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"problem_solving_score": problem_solving_score,
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"cultural_fit_score": cultural_fit_score,
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"overall_score": overall_score,
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"recommendation": recommendation,
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"strengths": strengths or {},
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"weaknesses": weaknesses or {},
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"red_flags": red_flags or {},
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"next_steps": next_steps,
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"interviewer_notes": interviewer_notes,
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"pdf_report_url": pdf_report_url,
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"created_at": datetime.utcnow(),
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"updated_at": datetime.utcnow(),
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}
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return await self.report_repo.create(report_data)
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except Exception as e:
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print(f"Error creating interview report: {str(e)}")
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return None
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