李顺东
b66bac7ca8
- Add wxauto package with WeChat UI automation and message handling capabilities - Implement job_extractor.py for automated job posting extraction from WeChat groups - Add job_extractor_gui.py providing graphical interface for job extraction tool - Create comprehensive documentation in Chinese covering GUI usage, multi-group support, and quick start guides - Add build configuration files (build_exe.py, build_exe.spec) for packaging as standalone executable - Include utility scripts for WeChat interaction (auto_send_msg.py, get_history.py, receive_file_transfer.py) - Add project configuration files (pyproject.toml, setup.cfg, requirements.txt) - Include test files (test_api.py, test_com_fix.py) for API and compatibility validation - Add Apache 2.0 LICENSE and comprehensive README documentation - Configure .gitignore to exclude build artifacts, logs, and temporary files
117 lines
3.3 KiB
Python
117 lines
3.3 KiB
Python
# -*- coding: utf-8 -*-
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"""
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查看提取的岗位数据
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"""
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import json
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import os
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from datetime import datetime
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def format_salary(salary_min, salary_max):
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"""格式化薪资显示"""
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if salary_min and salary_max:
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return f"{salary_min}-{salary_max}元"
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elif salary_min:
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return f"{salary_min}元起"
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elif salary_max:
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return f"{salary_max}元以下"
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else:
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return "面议"
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def display_job(job, index):
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"""显示单个岗位信息"""
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print(f"\n{'=' * 80}")
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print(f"岗位 #{index}")
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print(f"{'=' * 80}")
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print(f"工作名称: {job.get('job_name', '未知')}")
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print(f"公司名称: {job.get('company_name', '未知')}")
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print(f"工作地点: {job.get('job_location', '未知')}")
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print(f"薪资范围: {format_salary(job.get('salary_min'), job.get('salary_max'))}")
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if job.get('job_description'):
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print(f"\n工作描述:")
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print(f" {job['job_description']}")
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if job.get('contact_person') or job.get('contact_info'):
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print(f"\n联系方式:")
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if job.get('contact_person'):
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print(f" 联系人: {job['contact_person']}")
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if job.get('contact_info'):
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print(f" 联系方式: {job['contact_info']}")
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# 显示元数据
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if '_metadata' in job:
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meta = job['_metadata']
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print(f"\n来源信息:")
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print(f" 群组: {meta.get('group_name', '未知')}")
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print(f" 发送者: {meta.get('sender', '未知')}")
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print(f" 提取时间: {meta.get('extract_time', '未知')}")
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if meta.get('original_message'):
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print(f"\n原始消息:")
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msg = meta['original_message']
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if len(msg) > 200:
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msg = msg[:200] + "..."
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print(f" {msg}")
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def main():
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data_file = "jobs_data.json"
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if not os.path.exists(data_file):
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print(f"数据文件不存在: {data_file}")
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print("请先运行 job_extractor.py 提取岗位数据")
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return
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try:
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with open(data_file, "r", encoding="utf-8") as f:
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jobs = json.load(f)
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except Exception as e:
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print(f"读取数据文件失败: {e}")
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return
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if not jobs:
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print("暂无岗位数据")
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return
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print(f"{'=' * 80}")
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print(f"岗位数据查看器")
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print(f"{'=' * 80}")
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print(f"数据文件: {data_file}")
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print(f"岗位总数: {len(jobs)}")
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# 统计信息
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locations = {}
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companies = {}
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for job in jobs:
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loc = job.get('job_location', '未知')
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locations[loc] = locations.get(loc, 0) + 1
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comp = job.get('company_name', '未知')
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companies[comp] = companies.get(comp, 0) + 1
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print(f"\n地点分布:")
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for loc, count in sorted(locations.items(), key=lambda x: x[1], reverse=True)[:5]:
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print(f" {loc}: {count}个岗位")
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print(f"\n公司分布:")
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for comp, count in sorted(companies.items(), key=lambda x: x[1], reverse=True)[:5]:
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print(f" {comp}: {count}个岗位")
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# 显示详细信息
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print(f"\n{'=' * 80}")
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print("岗位详情")
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for i, job in enumerate(jobs, 1):
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display_job(job, i)
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print(f"\n{'=' * 80}")
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print(f"共显示 {len(jobs)} 个岗位")
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print(f"{'=' * 80}")
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if __name__ == "__main__":
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main()
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