8c2c2d29d7
job51 (spiderJobs/platforms/job51/): - client.py: HTTPClient+Job51Sign from crawler_core - api.py: ApiResult→Result, self._http→self.http_client, _request() POST overrides - main.py: BaseFetcher/BaseSearcher from crawler_core - sign.py: backward-compatible stub re-exporting crawler_core.qcwy.sign.Job51Sign zhilian (spiderJobs/platforms/zhilian/): - client.py: HTTPClient+ZhilianSign from crawler_core - api.py: add _parse_zhilian_response (HTTP 200=success), add _parse()/_request() to all classes (GET fetchers + POST searcher overrides) - main.py: BaseFetcher/BaseSearcher from crawler_core - sign.py: backward-compatible stub re-exporting crawler_core.zhilian.sign.ZhilianSign tests: 34 new mock tests (17 job51 + 17 zhilian) Full regression: 98 passed (job51:17 + zhilian:17 + boss:22 + crawler_core:41 + 1)
113 lines
3.0 KiB
Python
113 lines
3.0 KiB
Python
"""
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智联招聘 小程序爬虫入口
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功能:
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1. 从后端获取关键词（优先断点续爬 > 失败重试 > 全新）
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2. 调用 SearchPositions 分页爬取职位列表
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3. 每页实时上传数据 + 汇报进度
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4. 支持从断点页码恢复
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5. 可选：搜索 job 时顺带抓取公司详情
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启动:
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python -m spiderJobs.platforms.zhilian.main
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环境变量:
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API_BASE_URL 后端地址 (默认 http://124.222.106.226:9999)
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MAX_PAGES 每个关键词最大翻页数 (默认 3)
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SLEEP_MIN_SECONDS 最小延迟秒数 (默认 10)
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SLEEP_MAX_SECONDS 最大延迟秒数 (默认 20)
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INLINE_COMPANY 是否内联抓公司 (默认 1，设 0 关闭)
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"""
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from __future__ import annotations
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import os
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import sys
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from typing import Optional
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_project_root = os.path.abspath(os.path.join(os.path.dirname(__file__), "..", "..", ".."))
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if _project_root not in sys.path:
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sys.path.insert(0, _project_root)
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from crawler_core.base import BaseFetcher, BaseSearcher
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from spiderJobs.platforms.zhilian.api import GetCompanyDetail, SearchPositions
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from spiderJobs.platforms.zhilian.client import ZhilianClient, create_cgate_client
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from spiderJobs.runner.loop import run_crawl_loop
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# 智联城市代码映射
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CITY_CODE_MAP = {
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"全国": "",
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"北京": 530,
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"上海": 538,
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"广州": 763,
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"深圳": 765,
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"杭州": 653,
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"成都": 801,
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"南京": 635,
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"武汉": 736,
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"西安": 854,
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"长沙": 749,
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"重庆": 551,
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"苏州": 639,
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"天津": 531,
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"厦门": 682,
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"郑州": 719,
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"合肥": 664,
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"济南": 703,
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"青岛": 704,
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"大连": 600,
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"东莞": 769,
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"佛山": 766,
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"珠海": 768,
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"无锡": 636,
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"宁波": 654,
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}
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def create_searcher(keyword: dict, http_client: ZhilianClient) -> BaseSearcher:
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"""根据关键词创建智联搜索器"""
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city = keyword.get("city", "")
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job = keyword.get("job", "")
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city_code = CITY_CODE_MAP.get(city, 538)
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return SearchPositions(
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keyword=job,
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city_code=city_code,
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client=http_client,
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)
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def extract_company_id(job: dict) -> Optional[str]:
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"""从智联 job dict 中提取公司 ID (companyNumber)"""
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company_number = job.get("companyNumber") or job.get("company", {}).get("number")
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return str(company_number) if company_number else None
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def create_company_fetcher(company_id: str, http_client: ZhilianClient) -> BaseFetcher:
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"""创建智联公司详情 fetcher"""
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return GetCompanyDetail(number=company_id, client=http_client)
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def main():
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client_kwargs = {}
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proxy = os.environ.get("PROXY_URL", "")
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if proxy:
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client_kwargs["proxy"] = proxy
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run_crawl_loop(
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platform="zhilian",
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create_searcher=create_searcher,
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create_client_fn=create_cgate_client,
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max_pages=3,
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data_type="job",
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client_kwargs=client_kwargs,
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extract_company_id=extract_company_id,
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create_company_fetcher=create_company_fetcher,
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)
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if __name__ == "__main__":
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main()
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