Lecture 25: Project Practice - HR Intelligent Assistant Development Implementation

Implement core functions of the HR Intelligent Assistant, including resume parsing, attendance management, and salary calculation.

1. Project Structure

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hr_assistant/
├── __init__.py
├── main.py              # Entry point
├── config.py            # Configuration
├── models/              # Data models
│   ├── __init__.py
│   ├── resume.py        # Resume model
│   ├── attendance.py    # Attendance model
│   └── employee.py      # Employee model
├── services/            # Business services
│   ├── __init__.py
│   ├── resume_service.py
│   ├── attendance_service.py
│   └── payroll_service.py
├── utils/               # Utility functions
│   ├── __init__.py
│   ├── db.py
│   └── excel.py
└── templates/           # Templates
    ├── payroll_template.xlsx
    └── attendance_template.xlsx

2. Core Code Implementation

2.1 Resume Parsing Service

# services/resume_service.py
from typing import Dict, List
import re

class ResumeService:
    """Resume service"""

    def __init__(self, ocr_service, nlp_service, db):
        self.ocr = ocr_service
        self.nlp = nlp_service
        self.db = db

    def parse_resume(self, file_path: str) -> Dict:
        """Parse resume"""
        # 1. Extract text
        text = self._extract_text(file_path)

        # 2. Parse basic information
        basic_info = self._parse_basic_info(text)

        # 3. Parse education experience
        education = self._parse_education(text)

        # 4. Parse work experience
        experience = self._parse_experience(text)

        # 5. Extract skills
        skills = self._extract_skills(text)

        resume_data = {
            **basic_info,
            'education': education,
            'experience': experience,
            'skills': skills,
            'raw_text': text
        }


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