61 lines
2.5 KiB
Python
61 lines
2.5 KiB
Python
"""招聘数据模型"""
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from pydantic import BaseModel
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from datetime import datetime
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import uuid
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class JobData(BaseModel):
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"""招聘数据模型"""
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id: str = ""
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task_id: str = "" # 任务ID
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job_category: str = "" # Std_class - 职位分类
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job_title: str = "" # aca112 - 职位名称
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company: str = "" # AAB004 - 公司名称
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company_type: str = "" # AAB019 - 企业类型
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salary: str = "" # acb241 - 薪资范围
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location: str = "" # aab302 - 工作地点
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address: str = "" # AAE006 - 详细地址
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publish_date: str = "" # aae397 - 发布日期
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collect_time: str = "" # Collect_time - 采集时间
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url: str = "" # ACE760 - 职位链接
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description: str = "" # acb22a - 职位描述
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experience: str = "" # Experience - 经验要求
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education: str = "" # aac011 - 学历要求
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headcount: str = "" # acb240 - 招聘人数
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industry: str = "" # AAB022 - 行业
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company_size: str = "" # Num_employers - 公司规模
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contact: str = "" # AAE004 - 联系人
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company_intro: str = "" # AAB092 - 公司简介
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crawl_time: str = "" # 入库时间
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def __init__(self, **data):
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super().__init__(**data)
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if not self.id:
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self.id = str(uuid.uuid4())
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if not self.crawl_time:
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self.crawl_time = datetime.now().isoformat()
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@classmethod
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def from_raw(cls, raw: dict) -> "JobData":
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"""从原始API数据转换"""
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return cls(
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job_category=raw.get("Std_class", ""),
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job_title=raw.get("aca112", ""),
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company=raw.get("AAB004", ""),
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company_type=raw.get("AAB019", "").strip(),
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salary=raw.get("acb241", ""),
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location=raw.get("aab302", ""),
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address=raw.get("AAE006", ""),
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publish_date=raw.get("aae397", ""),
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collect_time=raw.get("Collect_time", ""),
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url=raw.get("ACE760", ""),
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description=raw.get("acb22a", ""),
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experience=raw.get("Experience", ""),
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education=raw.get("aac011", ""),
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headcount=raw.get("acb240", ""),
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industry=raw.get("AAB022", ""),
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company_size=raw.get("Num_employers", ""),
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contact=raw.get("AAE004", ""),
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company_intro=raw.get("AAB092", ""),
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)
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