初始化

app/ai/model_config.py

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+"""AI 模型场景配置
+
+集中管理清洗服务的模型选择与参数，修改模型只需改此文件。
+"""
+
+from app.ai.models import LLM
+
+
+class JobCleanModel:
+    """岗位清洗模块"""
+    # 第一次AI：结构化提取岗位信息
+    STRUCTURE = LLM.DOUBAO_SEED_LITE.create(temperature=0)
+    # 第二次AI：专业匹配
+    MAJOR_MATCH = LLM.DOUBAO_SEED_LITE.create(temperature=0)
+    # 第三次AI：技能提取
+    SKILL_EXTRACT = LLM.DOUBAO_SEED_LITE.create(temperature=0)
+
+
+class CompanyCleanModel:
+    """公司补充模块"""
+    # 公司信息补充
+    ENRICH = LLM.DOUBAO_SEED_LITE.create(temperature=0)

app/ai/models.py

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+"""LLM 模型枚举与实例获取
+
+Usage:
+    from app.ai.models import LLM
+
+    llm = LLM.DOUBAO_SEED_LITE.create(temperature=0)
+"""
+
+from enum import Enum
+
+from langchain_openai import ChatOpenAI
+
+from app.config import settings
+
+# 供应商连接配置
+_VOLCENGINE = (lambda: settings.volcengine_api_key, lambda: settings.volcengine_base_url)
+
+
+class LLM(Enum):
+    """所有可用模型，每个枚举值 = (模型名, api_key函数, base_url函数)"""
+
+    # 火山引擎
+    DOUBAO_PRO_32K = ("doubao-1-5-pro-32k-250115", *_VOLCENGINE)
+    DOUBAO_LITE_32K = ("doubao-1-5-lite-32k-250115", *_VOLCENGINE)
+    DOUBAO_SEED_LITE = ("doubao-seed-2-0-lite-260215", *_VOLCENGINE)
+    DOUBAO_SEED_PRO = ("doubao-seed-2-0-pro-260215", *_VOLCENGINE)
+    DEEPSEEK_V4_FLASH = ("deepseek-v4-flash-260425", *_VOLCENGINE)
+
+    def __init__(self, model_name: str, api_key_fn, base_url_fn):
+        self.model_name = model_name
+        self._api_key_fn = api_key_fn
+        self._base_url_fn = base_url_fn
+
+    def create(self, **kwargs) -> ChatOpenAI:
+        """创建 LLM 实例，kwargs 透传给 ChatOpenAI（temperature, max_tokens 等）"""
+        return ChatOpenAI(
+            model=self.model_name,
+            api_key=self._api_key_fn(),
+            base_url=self._base_url_fn(),
+            **kwargs,
+        )

app/ai/prompts.py

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+"""各步骤 Prompt 模板"""
+
+# ──────────── 第一次AI：岗位结构化提取 ────────────
+JOB_STRUCTURE_SYSTEM = """你是一个岗位数据清洗助手。请根据提供的原始岗位数据，提取并结构化为JSON格式。
+
+返回JSON格式要求：
+{
+  "valid": true/false,
+  "title": "岗位名称",
+  "salary": "标准化薪资，如10-20K、面议，无效则null",
+  "education": 0-4的数字(0=不限 1=大专 2=本科 3=硕士 4=博士),
+  "minExperience": 最低工作年限数字(不要求则0),
+  "employmentType": 0或1(0=全职 1=兼职，默认0),
+  "categoryId": 岗位分类ID(必选，从分类列表中选最接近的),
+  "requiredIndustryId": 行业ID(仅当明确提到行业经验要求时设置，列表中无完全匹配则选最相似的，未提到则null),
+  "description": "岗位职责，保持原文风格，格式化展示",
+  "requirement": "任职要求，保持原文风格，格式化展示",
+  "bonus": "加分项，无则null",
+  "tags": ["核心职能标签，最多5个，如数据分析、产品策略"],
+  "skillTags": ["技能关键词，最多8个，如Java、Spring Boot"],
+  "companyShortName": "简洁的公司简称，如字节跳动、中国平安",
+  "cities": ["工作城市列表，精确到市"]
+}
+
+规则：
+1. description/requirement/bonus 均从原始的 description+experience+education 内容中提取，保持原文风格
+2. 岗位标题不存在时，从描述中归纳生成
+3. 薪资标准化为 10-20K、20K、面议 等格式，无效或空则null
+4. categoryId 必须从分类列表中选一个，不允许为null
+5. requiredIndustryId 仅当描述中明确提到行业经验要求时设置
+6. tags 是核心职能标签（如数据分析、团队协作），最多5个
+7. skillTags 是技能关键词（如Java、MySQL），最多8个
+8. companyShortName 去掉地区后缀、招聘后缀、括号内容，保持简洁
+9. 字符串值中不允许出现Tab、换行等控制字符，用空格或中文标点替代
+10. 只返回JSON，不要其他内容"""
+
+
+# ──────────── 第二次AI：专业匹配 ────────────
+MAJOR_MATCH_SYSTEM = """你是一个岗位专业匹配助手。根据岗位信息，判断该岗位对专业的要求。
+返回JSON格式：
+{
+  "requiredMajorIds": [专业ID数组，从专业列表中选择最相关的，最多3个，无明确要求则空数组],
+  "majorSensitivity": 0-2的数字(0=专业不限 1=优先相关专业 2=强制要求专业)
+}
+规则：
+1. 只能从给定专业列表中选择ID
+2. 根据岗位描述判断专业敏感度：明确写"XX专业"→2，写"相关专业优先"→1，未提及→0
+3. majorSensitivity为0时，requiredMajorIds应为空数组
+4. 只返回JSON，不要其他内容"""
+
+
+# ──────────── 第三次AI：技能提取 ────────────
+SKILL_EXTRACT_SYSTEM = """你是一个技能提取助手。根据岗位信息，提取该岗位要求的核心专业能力和工具技能。
+返回JSON数组格式，如：["java", "spring boot", "mysql", "redis"]
+规则：
+1. 统一使用小写字母
+2. 只保留核心词，去掉多余修饰（如"plc编程"→"plc"，"c语言"→"c"，"cad制图"→"cad"）
+3. 同一技能只保留最具体的表述，不要同时出现上位词和下位词（如有"机械设计"就不要再出"机械"）
+4. 提取范围包括：技术栈、专业领域知识、行业工具、专业资质能力等
+5. 不提取纯软技能（如沟通能力、团队协作、学习能力、积极主动）
+6. 不提取过于宽泛的标签（如"办公软件"、"windows"）
+7. 如果岗位完全没有专业能力要求（纯看态度和素质），返回空数组 []
+8. 最多15个，按重要性排序
+9. 只返回JSON数组，不要其他内容"""
+
+
+# ──────────── 公司补充 ────────────
+COMPANY_ENRICH_SYSTEM = """你是一个企业信息补充助手。根据提供的公司简称，补充该公司的详细信息。
+
+返回JSON格式要求：
+{
+  "valid": true/false,
+  "name": "公司全称",
+  "city": "总部所在城市，精确到市",
+  "companyType": "企业类型",
+  "industryId": 行业ID,
+  "tags": ["公司标签，最多5个"],
+  "summary": "一句话简介，100字以内",
+  "description": "公司详细描述，500字以内",
+  "foundedYear": "成立年份",
+  "address": "总部/注册地址",
+  "scale": "企业规模",
+  "website": "官网地址",
+  "financingStage": "融资状态",
+  "latestValuation": "最新估值",
+  "news": ["相关新闻，最多3条，每条50字以内"]
+}
+
+规则：
+1. 如果不认识该公司，返回 {"valid": false}
+2. name 根据公司简称推断完整的企业注册名称
+3. companyType 取值：上市企业、独角兽、国企、央企、民营企业、外资企业、合资企业、事业单位、其他
+4. industryId 必须从给定行业列表中选择，不确定则null
+5. scale 取值：少于50人、50-150人、150-500人、500-1000人、1000-5000人、5000-10000人、10000人以上
+6. tags 体现公司核心业务特征，最多5个
+7. news 基于你的知识提供该公司最新的3条相关新闻，每条50字以内
+8. latestValuation 知道就提供，不知道则null
+9. 不确定的字段返回null，不要编造
+10. 字符串值中不允许出现Tab、换行等控制字符
+11. 只返回JSON，不要其他内容"""

app/config/__init__.py

@@ -0,0 +1,18 @@
+import os
+from pathlib import Path
+
+from .settings import Settings
+
+_env = os.getenv("ENV", "dev")
+_env_files = {"dev": ".env", "test": ".env.test", "prod": ".env.prod"}
+
+# 定位项目根目录（config 上两级）
+_project_root = Path(__file__).resolve().parent.parent.parent
+_env_file = _project_root / _env_files.get(_env, ".env")
+
+if not _env_file.exists():
+    raise FileNotFoundError(f".env 文件不存在: {_env_file}")
+
+settings = Settings(_env_file=str(_env_file))
+
+__all__ = ["settings"]

app/config/settings.py

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+from pydantic_settings import BaseSettings, SettingsConfigDict
+
+
+class Settings(BaseSettings):
+    """项目配置，通过 .env 文件覆盖默认值"""
+
+    # 环境
+    env: str = "dev"
+
+    # ──────────── PostgreSQL（本地，app_job_data 源库）────────────
+    pg_host: str = "192.168.31.51"
+    pg_port: int = 5432
+    pg_user: str = "postgres"
+    pg_password: str = ""
+    pg_db: str = "postgres"
+    pg_pool_size: int = 10
+    pg_max_overflow: int = 20
+
+    # ──────────── MySQL（业务库）────────────
+    db_host: str = "192.168.31.105"
+    db_port: int = 3306
+    db_user: str = "root"
+    db_password: str = "123456"
+    db_name: str = "offerpie"
+    mysql_pool_size: int = 10
+    mysql_max_overflow: int = 20
+
+    # ──────────── AI 供应商 ────────────
+    volcengine_api_key: str =  "fd065993-bee2-4f31-8bf2-56d5d3012c02"
+    volcengine_base_url: str = "https://ark.cn-beijing.volces.com/api/v3"
+
+    # ──────────── 岗位清洗参数 ────────────
+    clean_batch_size: int = 100
+    clean_concurrency: int = 50
+    clean_interval_seconds: int = 180
+
+    # ──────────── 公司补充参数 ────────────
+    company_batch_size: int = 20
+    company_concurrency: int = 10
+    company_interval_seconds: int = 300
+
+    # ──────────── 岗位下架参数 ────────────
+    job_expire_days: int = 7
+
+    # ──────────── 日志 ────────────
+    logging_level: str = "INFO"
+    log_file_name: str = "cleaner.log"
+
+    @property
+    def pg_url(self) -> str:
+        from urllib.parse import quote
+        return (
+            f"postgresql+asyncpg://{self.pg_user}:{quote(self.pg_password, safe='')}"
+            f"@{self.pg_host}:{self.pg_port}/{self.pg_db}"
+        )
+
+    @property
+    def mysql_url(self) -> str:
+        from urllib.parse import quote
+        return (
+            f"mysql+asyncmy://{self.db_user}:{quote(self.db_password, safe='')}"
+            f"@{self.db_host}:{self.db_port}/{self.db_name}"
+        )
+
+    model_config = SettingsConfigDict(
+        env_file=".env",
+        env_file_encoding="utf-8",
+        case_sensitive=False,
+        extra="ignore",
+    )

app/core/database.py

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+"""双数据源：PostgreSQL（源库） + MySQL（业务库）"""
+
+from typing import Optional
+
+from sqlalchemy.ext.asyncio import (
+    AsyncEngine,
+    AsyncSession,
+    async_sessionmaker,
+    create_async_engine,
+)
+from sqlalchemy.orm import DeclarativeBase
+
+from app.config import settings
+from app.core.logger import log
+
+# ──────────── 内部变量 ────────────
+_pg_engine: Optional[AsyncEngine] = None
+_pg_session_factory: Optional[async_sessionmaker[AsyncSession]] = None
+
+_mysql_engine: Optional[AsyncEngine] = None
+_mysql_session_factory: Optional[async_sessionmaker[AsyncSession]] = None
+
+
+class PgBase(DeclarativeBase):
+    """PostgreSQL ORM 声明基类"""
+    pass
+
+
+class MysqlBase(DeclarativeBase):
+    """MySQL ORM 声明基类"""
+    pass
+
+
+async def init_db() -> None:
+    """初始化双数据源"""
+    global _pg_engine, _pg_session_factory, _mysql_engine, _mysql_session_factory
+
+    _pg_engine = create_async_engine(
+        settings.pg_url,
+        pool_size=settings.pg_pool_size,
+        max_overflow=settings.pg_max_overflow,
+        pool_recycle=3600,
+        echo=False,
+    )
+    _pg_session_factory = async_sessionmaker(_pg_engine, expire_on_commit=False)
+
+    _mysql_engine = create_async_engine(
+        settings.mysql_url,
+        pool_size=settings.mysql_pool_size,
+        max_overflow=settings.mysql_max_overflow,
+        pool_recycle=3600,
+        echo=False,
+    )
+    _mysql_session_factory = async_sessionmaker(_mysql_engine, expire_on_commit=False)
+
+    log.info("双数据源初始化完成: PG={}, MySQL={}", settings.pg_host, settings.db_host)
+
+
+async def close_db() -> None:
+    """关闭双数据源"""
+    if _pg_engine:
+        await _pg_engine.dispose()
+    if _mysql_engine:
+        await _mysql_engine.dispose()
+    log.info("双数据源已关闭")
+
+
+def PgSession() -> AsyncSession:
+    """获取 PostgreSQL 异步会话（用作 async with PgSession() as session）"""
+    if _pg_session_factory is None:
+        raise RuntimeError("数据库未初始化，请先调用 init_db()")
+    return _pg_session_factory()
+
+
+def MysqlSession() -> AsyncSession:
+    """获取 MySQL 异步会话（用作 async with MysqlSession() as session）"""
+    if _mysql_session_factory is None:
+        raise RuntimeError("数据库未初始化，请先调用 init_db()")
+    return _mysql_session_factory()

app/core/logger.py

@@ -0,0 +1,34 @@
+"""日志配置"""
+
+import sys
+from pathlib import Path
+
+from loguru import logger
+
+from app.config import settings
+
+# 日志目录
+_log_dir = Path("logs")
+_log_dir.mkdir(exist_ok=True)
+
+# 移除默认 handler
+logger.remove()
+
+# 控制台输出
+logger.add(
+    sys.stdout,
+    level=settings.logging_level,
+    format="<green>{time:YYYY-MM-DD HH:mm:ss}</green> | <level>{level: <8}</level> | <cyan>{name}</cyan>:<cyan>{line}</cyan> - <level>{message}</level>",
+)
+
+# 文件输出（按天轮转，保留30天）
+logger.add(
+    _log_dir / settings.log_file_name,
+    level=settings.logging_level,
+    rotation="00:00",
+    retention="30 days",
+    encoding="utf-8",
+    format="{time:YYYY-MM-DD HH:mm:ss} | {level: <8} | {name}:{line} - {message}",
+)
+
+log = logger

app/main.py

@@ -0,0 +1,64 @@
+"""项目入口：初始化数据源、加载字典、启动调度器"""
+
+import asyncio
+import signal
+import warnings
+from datetime import datetime
+
+from app.core.logger import log
+
+# 屏蔽 asyncmy INSERT IGNORE 产生的 Duplicate entry warnings
+warnings.filterwarnings("ignore", message=".*Duplicate entry.*")
+from app.core.database import init_db, close_db
+from app.services.dict_cache_service import dict_cache
+from app.scheduler.tasks import create_scheduler
+
+
+async def main():
+    log.info("=" * 50)
+    log.info("OfferPie Job Cleaner 启动中...")
+    log.info("=" * 50)
+
+    # 初始化双数据源
+    await init_db()
+
+    # 加载字典缓存
+    await dict_cache.refresh()
+
+    # 创建并启动调度器
+    scheduler = create_scheduler()
+    scheduler.start()
+
+    # 立即触发一次岗位清洗和公司补充
+    scheduler.modify_job("job_clean", next_run_time=datetime.now())
+    scheduler.modify_job("company_clean", next_run_time=datetime.now())
+
+    log.info("调度器已启动，所有定时任务已注册")
+
+    # 优雅关闭
+    stop_event = asyncio.Event()
+
+    def _shutdown(*args):
+        log.info("收到关闭信号，正在关闭...")
+        stop_event.set()
+
+    loop = asyncio.get_running_loop()
+    # Unix: SIGINT + SIGTERM，Windows: 仅靠 KeyboardInterrupt
+    for sig in (signal.SIGINT, signal.SIGTERM):
+        try:
+            loop.add_signal_handler(sig, _shutdown)
+        except (NotImplementedError, ValueError):
+            pass
+
+    try:
+        await stop_event.wait()
+    except KeyboardInterrupt:
+        pass
+    finally:
+        scheduler.shutdown(wait=False)
+        await close_db()
+        log.info("OfferPie Job Cleaner 已关闭")
+
+
+if __name__ == "__main__":
+    asyncio.run(main())

app/models/mysql/company.py

@@ -0,0 +1,36 @@
+"""MySQL: bg_company 表模型"""
+
+from datetime import datetime
+from typing import Optional
+
+from sqlalchemy import BigInteger, DateTime, Integer, JSON, String, Text
+from sqlalchemy.orm import Mapped, mapped_column
+
+from app.core.database import MysqlBase
+
+
+class Company(MysqlBase):
+    """公司表"""
+
+    __tablename__ = "bg_company"
+
+    id: Mapped[int] = mapped_column(BigInteger, primary_key=True)
+    name: Mapped[Optional[str]] = mapped_column(String(255))
+    short_name: Mapped[str] = mapped_column(String(128), nullable=False)
+    logo_url: Mapped[Optional[str]] = mapped_column(String(512))
+    region_code: Mapped[Optional[str]] = mapped_column(String(20))
+    company_type: Mapped[Optional[str]] = mapped_column(String(32))
+    industry_id: Mapped[Optional[int]] = mapped_column(BigInteger)
+    tags: Mapped[Optional[list]] = mapped_column(JSON)
+    summary: Mapped[Optional[str]] = mapped_column(String(512))
+    description: Mapped[Optional[str]] = mapped_column(Text)
+    founded_year: Mapped[Optional[str]] = mapped_column(String(10))
+    address: Mapped[Optional[str]] = mapped_column(String(255))
+    scale: Mapped[Optional[str]] = mapped_column(String(32))
+    website: Mapped[Optional[str]] = mapped_column(String(255))
+    financing_stage: Mapped[Optional[str]] = mapped_column(String(32))
+    latest_valuation: Mapped[Optional[str]] = mapped_column(String(64))
+    news: Mapped[Optional[list]] = mapped_column(JSON)
+    status: Mapped[int] = mapped_column(Integer, default=0, comment="0=待完善 1=已完善 2=禁用 3=补充中 4=补充失败")
+    create_time: Mapped[datetime] = mapped_column(DateTime, nullable=False)
+    update_time: Mapped[datetime] = mapped_column(DateTime, nullable=False)

app/models/mysql/job.py

@@ -0,0 +1,39 @@
+"""MySQL: bg_job 表模型"""
+
+from datetime import datetime
+from typing import Optional
+
+from sqlalchemy import BigInteger, DateTime, Integer, JSON, String, Text
+from sqlalchemy.orm import Mapped, mapped_column
+
+from app.core.database import MysqlBase
+
+
+class Job(MysqlBase):
+    """岗位表"""
+
+    __tablename__ = "bg_job"
+
+    id: Mapped[int] = mapped_column(BigInteger, primary_key=True)
+    title: Mapped[str] = mapped_column(String(255), nullable=False)
+    company_id: Mapped[int] = mapped_column(BigInteger, nullable=False)
+    category_id: Mapped[int] = mapped_column(BigInteger, nullable=False)
+    employment_type: Mapped[int] = mapped_column(Integer, default=0)
+    description: Mapped[Optional[str]] = mapped_column(Text)
+    requirement: Mapped[Optional[str]] = mapped_column(Text)
+    bonus: Mapped[Optional[str]] = mapped_column(Text)
+    tags: Mapped[Optional[list]] = mapped_column(JSON)
+    skill_tags: Mapped[Optional[list]] = mapped_column(JSON)
+    salary: Mapped[Optional[str]] = mapped_column(String(64))
+    education: Mapped[int] = mapped_column(Integer, default=0)
+    min_experience: Mapped[int] = mapped_column(Integer, default=0)
+    required_industry_id: Mapped[Optional[int]] = mapped_column(BigInteger)
+    required_major_ids: Mapped[Optional[list]] = mapped_column(JSON)
+    major_sensitivity: Mapped[Optional[int]] = mapped_column(Integer)
+    source_url: Mapped[Optional[str]] = mapped_column(String(1024))
+    source_id: Mapped[Optional[str]] = mapped_column(String(64))
+    recruit_category: Mapped[Optional[int]] = mapped_column(Integer, comment="招聘分类: 0=校招, 1=实习, 2=社招, 3=其他")
+    expire_at: Mapped[Optional[datetime]] = mapped_column(DateTime, comment="发布日期")
+    status: Mapped[int] = mapped_column(Integer, default=0, comment="0=上架 1=下架 2=已失效")
+    create_time: Mapped[datetime] = mapped_column(DateTime, nullable=False)
+    update_time: Mapped[datetime] = mapped_column(DateTime, nullable=False)

app/models/mysql/relations.py

@@ -0,0 +1,30 @@
+"""MySQL: 关联表模型"""
+
+from datetime import datetime
+
+from sqlalchemy import BigInteger, DateTime, String
+from sqlalchemy.orm import Mapped, mapped_column
+
+from app.core.database import MysqlBase
+
+
+class JobRegionRelation(MysqlBase):
+    """岗位-地区关联表"""
+
+    __tablename__ = "bg_job_region_relation"
+
+    id: Mapped[int] = mapped_column(BigInteger, primary_key=True, autoincrement=True)
+    job_id: Mapped[int] = mapped_column(BigInteger, nullable=False)
+    region_code: Mapped[str] = mapped_column(String(20), nullable=False)
+    create_time: Mapped[datetime] = mapped_column(DateTime, nullable=False)
+
+
+class JobSkillTagRelation(MysqlBase):
+    """岗位-技能标签关联表"""
+
+    __tablename__ = "bg_job_skill_tag_relation"
+
+    id: Mapped[int] = mapped_column(BigInteger, primary_key=True, autoincrement=True)
+    job_id: Mapped[int] = mapped_column(BigInteger, nullable=False)
+    skill_tag_id: Mapped[int] = mapped_column(BigInteger, nullable=False)
+    create_time: Mapped[datetime] = mapped_column(DateTime, nullable=False)

app/models/mysql/skill_tag.py

@@ -0,0 +1,15 @@
+"""MySQL: bg_skill_tag 表模型"""
+
+from sqlalchemy import BigInteger, String
+from sqlalchemy.orm import Mapped, mapped_column
+
+from app.core.database import MysqlBase
+
+
+class SkillTag(MysqlBase):
+    """技能标签表"""
+
+    __tablename__ = "bg_skill_tag"
+
+    id: Mapped[int] = mapped_column(BigInteger, primary_key=True)
+    name: Mapped[str] = mapped_column(String(100), unique=True, nullable=False)

app/models/pg/app_job_data.py

@@ -0,0 +1,35 @@
+"""PostgreSQL: app_job_data 表模型"""
+
+from datetime import datetime
+from typing import Optional
+
+from sqlalchemy import BigInteger, DateTime, Integer, SmallInteger, String, Text
+from sqlalchemy.orm import Mapped, mapped_column
+
+from app.core.database import PgBase
+
+
+class AppJobData(PgBase):
+    """爬虫岗位原始数据"""
+
+    __tablename__ = "app_job_data"
+
+    id: Mapped[int] = mapped_column(BigInteger, primary_key=True, autoincrement=True)
+    urllistid: Mapped[int] = mapped_column(BigInteger, nullable=False, comment="关联urllistid")
+    job_title: Mapped[Optional[str]] = mapped_column(String(255))
+    salary: Mapped[Optional[str]] = mapped_column(String(128))
+    location: Mapped[Optional[str]] = mapped_column(String(2048))
+    company: Mapped[Optional[str]] = mapped_column(String(255), comment="公司名字")
+    experience: Mapped[Optional[str]] = mapped_column(String(64))
+    education: Mapped[Optional[str]] = mapped_column(String(64))
+    description: Mapped[str] = mapped_column(Text, nullable=False)
+    detail_url: Mapped[str] = mapped_column(String(1024), nullable=False)
+    recruit_category: Mapped[int] = mapped_column(SmallInteger, default=3, nullable=False, comment="招聘分类: 0=校招, 1=实习, 2=社招, 3=其他")
+    content_hash: Mapped[str] = mapped_column(String(64), nullable=False)
+    sources: Mapped[int] = mapped_column(SmallInteger, default=0, nullable=False)
+    expire_at: Mapped[datetime] = mapped_column(DateTime, nullable=False, comment="发布日期")
+    created_at: Mapped[datetime] = mapped_column(DateTime, nullable=False)
+    updated_at: Mapped[datetime] = mapped_column(DateTime, nullable=False)
+    clean_status: Mapped[str] = mapped_column(String(20), default="pending", nullable=False, comment="pending/cleaning/cleaned/discarded")
+    clean_started_at: Mapped[Optional[datetime]] = mapped_column(DateTime)
+    cleaned_at: Mapped[Optional[datetime]] = mapped_column(DateTime)

app/scheduler/tasks.py

@@ -0,0 +1,105 @@
+"""定时任务注册"""
+
+from datetime import datetime, timedelta
+
+from apscheduler.schedulers.asyncio import AsyncIOScheduler
+from apscheduler.triggers.interval import IntervalTrigger
+from apscheduler.triggers.cron import CronTrigger
+
+from app.config import settings
+from app.core.logger import log
+
+
+def create_scheduler() -> AsyncIOScheduler:
+    """创建并注册所有定时任务"""
+    scheduler = AsyncIOScheduler(
+        timezone="Asia/Shanghai",
+        job_defaults={"misfire_grace_time": 60},
+    )
+
+    # 岗位清洗（每 N 秒）
+    scheduler.add_job(
+        _job_clean_task,
+        trigger=IntervalTrigger(seconds=settings.clean_interval_seconds),
+        id="job_clean",
+        name="岗位清洗",
+        max_instances=1,
+    )
+
+    # 公司补充（每 N 秒）
+    scheduler.add_job(
+        _company_clean_task,
+        trigger=IntervalTrigger(seconds=settings.company_interval_seconds),
+        id="company_clean",
+        name="公司补充",
+        max_instances=1,
+    )
+
+    # 岗位僵尸恢复（每30分钟）
+    scheduler.add_job(
+        _job_zombie_task,
+        trigger=IntervalTrigger(minutes=30),
+        id="job_zombie_recover",
+        name="岗位僵尸恢复",
+        max_instances=1,
+    )
+
+    # 公司僵尸恢复（每小时）
+    scheduler.add_job(
+        _company_zombie_task,
+        trigger=IntervalTrigger(hours=1),
+        id="company_zombie_recover",
+        name="公司僵尸恢复",
+        max_instances=1,
+    )
+
+    # 岗位下架（每天凌晨2点）
+    scheduler.add_job(
+        _job_expire_task,
+        trigger=CronTrigger(hour=2, minute=0),
+        id="job_expire",
+        name="岗位下架",
+        max_instances=1,
+    )
+
+    return scheduler
+
+
+async def _job_clean_task():
+    from app.services.job_clean_service import run_job_clean
+    try:
+        await run_job_clean()
+    except Exception as e:
+        log.error("岗位清洗任务异常: {}", e)
+
+
+async def _company_clean_task():
+    from app.services.company_clean_service import run_company_clean
+    try:
+        await run_company_clean()
+    except Exception as e:
+        log.error("公司补充任务异常: {}", e)
+
+
+async def _job_zombie_task():
+    from app.services.zombie_recover_service import recover_job_zombie
+    try:
+        await recover_job_zombie()
+    except Exception as e:
+        log.error("岗位僵尸恢复异常: {}", e)
+
+
+async def _company_zombie_task():
+    from app.services.zombie_recover_service import recover_company_zombie
+    try:
+        await recover_company_zombie()
+    except Exception as e:
+        log.error("公司僵尸恢复异常: {}", e)
+
+
+async def _job_expire_task():
+    from app.services.job_expire_service import run_job_expire
+    try:
+        await run_job_expire()
+    except Exception as e:
+        log.error("岗位下架异常: {}", e)

app/services/ai_tool.py

@@ -0,0 +1,65 @@
+"""AI 调用工具封装"""
+
+import json
+import re
+from typing import Any
+
+from langchain_openai import ChatOpenAI
+from langchain_core.messages import SystemMessage, HumanMessage
+
+from app.core.logger import log
+
+# markdown 代码块正则
+_CODE_BLOCK_RE = re.compile(r"```\w*\s*\n?(.*?)\n?\s*```", re.DOTALL)
+# 控制字符正则（保留 \t \n \r）
+_CONTROL_CHAR_RE = re.compile(r"[\x00-\x08\x0b\x0c\x0e-\x1f]")
+
+
+def clean_ai_response(response: str) -> str:
+    """从 AI 返回的文本中提取干净的 JSON 字符串"""
+    if not response or not response.strip():
+        return ""
+
+    result = response.strip()
+
+    # 尝试从 markdown 代码块提取
+    match = _CODE_BLOCK_RE.search(result)
+    if match:
+        result = match.group(1).strip()
+    else:
+        # 定位首个 JSON 起始符
+        obj_start = result.find("{")
+        arr_start = result.find("[")
+        if obj_start < 0:
+            start = arr_start
+        elif arr_start < 0:
+            start = obj_start
+        else:
+            start = min(obj_start, arr_start)
+        if start > 0:
+            result = result[start:]
+
+    # 清除控制字符
+    result = _CONTROL_CHAR_RE.sub("", result)
+    return result
+
+
+async def ai_chat(llm: ChatOpenAI, system_prompt: str, user_message: str) -> str:
+    """异步调用 LLM，返回原始文本"""
+    messages = [
+        SystemMessage(content=system_prompt),
+        HumanMessage(content=user_message),
+    ]
+    response = await llm.ainvoke(messages)
+    return response.content
+
+
+async def ai_chat_json(llm: ChatOpenAI, system_prompt: str, user_message: str) -> Any:
+    """异步调用 LLM，返回解析后的 JSON 对象"""
+    raw = await ai_chat(llm, system_prompt, user_message)
+    cleaned = clean_ai_response(raw)
+    try:
+        return json.loads(cleaned)
+    except json.JSONDecodeError as e:
+        log.warning("AI JSON 解析失败: {}, raw={}", e, raw[:200])
+        return None

app/services/company_clean_service.py

@@ -0,0 +1,138 @@
+"""公司数据补充服务（协程版）"""
+
+import asyncio
+from datetime import datetime
+
+from sqlalchemy import text
+
+from app.config import settings
+from app.core.database import MysqlSession
+from app.core.logger import log
+from app.ai.model_config import CompanyCleanModel
+from app.ai.prompts import COMPANY_ENRICH_SYSTEM
+from app.services.ai_tool import ai_chat_json
+from app.services.dict_cache_service import dict_cache
+
+
+async def run_company_clean() -> None:
+    """一次批量公司补充任务"""
+    # 锁定一批待完善公司
+    async with MysqlSession() as mysql:
+        result = await mysql.execute(
+            text("""
+                SELECT * FROM bg_company
+                WHERE status = 0
+                LIMIT :limit
+                FOR UPDATE SKIP LOCKED
+            """),
+            {"limit": settings.company_batch_size},
+        )
+        rows = result.mappings().all()
+        if not rows:
+            return
+
+        ids = [r["id"] for r in rows]
+        # MySQL 批量 IN 用 format 拼接（id 是 bigint，安全）
+        ids_str = ",".join(str(i) for i in ids)
+        await mysql.execute(
+            text(f"UPDATE bg_company SET status = 3, update_time = NOW() WHERE id IN ({ids_str})"),
+        )
+        await mysql.commit()
+
+    log.info("公司补充：锁定{}条数据", len(rows))
+
+    # 协程并发，信号量限流
+    sem = asyncio.Semaphore(settings.company_concurrency)
+    tasks = [_clean_one(sem, dict(r)) for r in rows]
+    await asyncio.gather(*tasks, return_exceptions=True)
+
+
+async def _clean_one(sem: asyncio.Semaphore, company: dict) -> None:
+    """单条公司补充"""
+    async with sem:
+        try:
+            await _do_clean(company)
+        except Exception as e:
+            log.error("公司补充异常, id={}, shortName={}: {}", company["id"], company.get("short_name"), e)
+
+
+async def _do_clean(company: dict) -> None:
+    """公司补充逻辑"""
+    company_id = company["id"]
+    short_name = company.get("short_name", "")
+
+    user_msg = f"【公司简称】\n{short_name}\n\n【行业列表】\n{dict_cache.industry_text}"
+    result = await ai_chat_json(CompanyCleanModel.ENRICH, COMPANY_ENRICH_SYSTEM, user_msg)
+
+    if result is None or not result.get("valid", False):
+        await _update_status(company_id, 4)
+        return
+
+    # 地区匹配
+    city = result.get("city")
+    region_code = dict_cache.match_region_code(city) if city else None
+
+    # 回填数据
+    now = datetime.now()
+    async with MysqlSession() as mysql:
+        await mysql.execute(
+            text("""
+                UPDATE bg_company SET
+                    name = COALESCE(:name, name),
+                    region_code = COALESCE(:region_code, region_code),
+                    company_type = COALESCE(:company_type, company_type),
+                    industry_id = :industry_id,
+                    tags = :tags,
+                    summary = COALESCE(:summary, summary),
+                    description = COALESCE(:description, description),
+                    founded_year = COALESCE(:founded_year, founded_year),
+                    address = COALESCE(:address, address),
+                    scale = COALESCE(:scale, scale),
+                    website = COALESCE(:website, website),
+                    financing_stage = COALESCE(:financing_stage, financing_stage),
+                    latest_valuation = COALESCE(:latest_valuation, latest_valuation),
+                    news = :news,
+                    status = 1,
+                    update_time = :now
+                WHERE id = :id
+            """),
+            {
+                "name": result.get("name"),
+                "region_code": region_code,
+                "company_type": result.get("companyType"),
+                "industry_id": result.get("industryId"),
+                "tags": _to_json(result.get("tags")),
+                "summary": result.get("summary"),
+                "description": result.get("description"),
+                "founded_year": result.get("foundedYear"),
+                "address": result.get("address"),
+                "scale": result.get("scale"),
+                "website": result.get("website"),
+                "financing_stage": result.get("financingStage"),
+                "latest_valuation": result.get("latestValuation"),
+                "news": _to_json(result.get("news")),
+                "now": now,
+                "id": company_id,
+            },
+        )
+        await mysql.commit()
+
+    log.info("公司补充完成, id={}, shortName={}", company_id, short_name)
+
+
+async def _update_status(company_id: int, status: int) -> None:
+    """更新公司状态"""
+    async with MysqlSession() as mysql:
+        await mysql.execute(
+            text("UPDATE bg_company SET status = :s, update_time = NOW() WHERE id = :id"),
+            {"s": status, "id": company_id},
+        )
+        await mysql.commit()
+
+
+def _to_json(value) -> str | None:
+    """列表转 JSON 字符串"""
+    import json
+    if value and isinstance(value, list):
+        return json.dumps(value, ensure_ascii=False)
+    return None

app/services/dict_cache_service.py

@@ -0,0 +1,91 @@
+"""字典数据缓存服务
+
+启动时从 MySQL 加载岗位分类、行业、专业分类、地区数据到内存。
+"""
+
+from sqlalchemy import select, text
+
+from app.core.database import MysqlSession
+from app.core.logger import log
+
+
+class DictCacheService:
+    """字典缓存，单例使用"""
+
+    def __init__(self):
+        self.job_category_text: str = ""
+        self.industry_text: str = ""
+        self.major_category_text: str = ""
+        self._region_list: list[dict] = []
+
+    async def refresh(self) -> None:
+        """加载全量字典数据"""
+        async with MysqlSession() as session:
+            # 岗位分类（三级叶子，带父级路径）
+            result = await session.execute(text("""
+                SELECT c.id, c.name, c.parent_id, c.root_id, c.level,
+                       p.name AS parent_name, r.name AS root_name
+                FROM bg_job_category c
+                LEFT JOIN bg_job_category p ON c.parent_id = p.id
+                LEFT JOIN bg_job_category r ON c.root_id = r.id
+                WHERE c.level = 3
+            """))
+            categories = result.mappings().all()
+            self.job_category_text = ", ".join(
+                f"{c['id']}:{c['name']}({c['root_name']}/{c['parent_name']})"
+                for c in categories
+            )
+
+            # 行业（二级叶子，带父级）
+            result = await session.execute(text("""
+                SELECT i.id, i.name, p.name AS parent_name
+                FROM bg_industry i
+                LEFT JOIN bg_industry p ON i.parent_id = p.id
+                WHERE i.level = 2
+            """))
+            industries = result.mappings().all()
+            self.industry_text = ", ".join(
+                f"{i['id']}:{i['name']}({i['parent_name']})"
+                for i in industries
+            )
+
+            # 专业分类（三级叶子，带父级路径）
+            result = await session.execute(text("""
+                SELECT m.id, m.name, m.parent_id, m.root_id,
+                       p.name AS parent_name, r.name AS root_name
+                FROM bg_major_category m
+                LEFT JOIN bg_major_category p ON m.parent_id = p.id
+                LEFT JOIN bg_major_category r ON m.root_id = r.id
+                WHERE m.level = 3
+            """))
+            majors = result.mappings().all()
+            self.major_category_text = ", ".join(
+                f"{m['id']}:{m['name']}({m['root_name']}/{m['parent_name']})"
+                for m in majors
+            )
+
+            # 地区（省市级）
+            result = await session.execute(text("""
+                SELECT code, name FROM bg_china_regions_code WHERE city_code IS NULL
+            """))
+            self._region_list = [dict(r) for r in result.mappings().all()]
+
+        log.info(
+            "字典缓存加载完成: 岗位分类{}条, 行业{}条, 专业{}条, 地区{}条",
+            len(categories), len(industries), len(majors), len(self._region_list),
+        )
+
+    def match_region_code(self, city_name: str) -> str | None:
+        """根据城市名模糊匹配地区编码"""
+        if not city_name:
+            return None
+        name = city_name.replace("市", "").replace("省", "").strip()
+        for r in self._region_list:
+            r_name = r["name"].replace("市", "").replace("省", "")
+            if name in r_name or r_name in name:
+                return r["code"]
+        return None
+
+
+# 全局单例
+dict_cache = DictCacheService()

app/services/job_clean_service.py

@@ -0,0 +1,306 @@
+"""岗位清洗服务（协程版）"""
+
+import asyncio
+import json
+from datetime import datetime
+
+from snowflake import SnowflakeGenerator
+from sqlalchemy import text, insert
+
+from app.config import settings
+from app.core.database import PgSession, MysqlSession
+from app.core.logger import log
+from app.ai.model_config import JobCleanModel
+from app.ai.prompts import JOB_STRUCTURE_SYSTEM, MAJOR_MATCH_SYSTEM, SKILL_EXTRACT_SYSTEM
+from app.models.mysql.job import Job
+from app.models.mysql.company import Company
+from app.models.mysql.relations import JobRegionRelation, JobSkillTagRelation
+from app.services.ai_tool import ai_chat_json
+from app.services.dict_cache_service import dict_cache
+
+# 雪花ID生成器
+_id_gen = SnowflakeGenerator(instance=1)
+
+# 公司创建锁（防止并发重复插入同一公司）
+_company_lock = asyncio.Lock()
+
+
+async def run_job_clean() -> None:
+    """一次批量清洗任务"""
+    # 1. 从 PG 锁定一批待清洗数据
+    async with PgSession() as pg:
+        result = await pg.execute(
+            text("""
+                SELECT * FROM app_job_data
+                WHERE clean_status = 'pending'
+                LIMIT :limit
+                FOR UPDATE SKIP LOCKED
+            """),
+            {"limit": settings.clean_batch_size},
+        )
+        rows = result.mappings().all()
+        if not rows:
+            return
+
+        ids = [r["id"] for r in rows]
+        await pg.execute(
+            text("""
+                UPDATE app_job_data
+                SET clean_status = 'cleaning', clean_started_at = NOW()
+                WHERE id = ANY(:ids)
+            """),
+            {"ids": ids},
+        )
+        await pg.commit()
+
+    log.info("岗位清洗：锁定{}条数据", len(rows))
+
+    # 2. 协程并发清洗，信号量限流
+    sem = asyncio.Semaphore(settings.clean_concurrency)
+    tasks = [_clean_one(sem, dict(r)) for r in rows]
+    results = await asyncio.gather(*tasks, return_exceptions=True)
+
+    # 汇总
+    errors = sum(1 for r in results if isinstance(r, Exception))
+    log.info("岗位清洗：本批完成，共{}条，异常{}条", len(rows), errors)
+
+
+async def _clean_one(sem: asyncio.Semaphore, data: dict) -> None:
+    """单条岗位清洗"""
+    async with sem:
+        try:
+            await _do_clean(data)
+        except Exception as e:
+            log.error("岗位清洗异常, id={}: {}", data["id"], e)
+            # 保持 cleaning 状态，由僵尸恢复任务重置
+
+
+async def _do_clean(data: dict) -> None:
+    """清洗逻辑"""
+    data_id = data["id"]
+
+    # 前置校验
+    description = data.get("description") or ""
+    if len(description) < 20:
+        log.info("[id={}] 丢弃：描述过短({}字符)", data_id, len(description))
+        await _update_pg_status(data_id, "discarded")
+        return
+
+    # 第一次AI：结构化提取
+    user_message = _build_user_message(data)
+    result = await ai_chat_json(JobCleanModel.STRUCTURE, JOB_STRUCTURE_SYSTEM, user_message)
+    if result is None or not result.get("valid", False):
+        log.info("[id={}] 丢弃：AI判定无效", data_id)
+        await _update_pg_status(data_id, "discarded")
+        return
+
+    # 去重检查
+    source_id = str(data_id)
+    async with MysqlSession() as mysql:
+        existing = await mysql.execute(
+            text("SELECT COUNT(*) AS cnt FROM bg_job WHERE source_id = :sid"),
+            {"sid": source_id},
+        )
+        if existing.scalar() > 0:
+            log.info("[id={}] 跳过：已入库(去重)", data_id)
+            await _update_pg_status(data_id, "cleaned")
+            return
+
+    # 公司处理
+    company_short_name = result.get("companyShortName") or data.get("company") or ""
+    company_id = await _find_or_create_company(company_short_name)
+
+    # 地区处理
+    region_codes = []
+    for city in result.get("cities") or []:
+        code = dict_cache.match_region_code(city)
+        if code:
+            region_codes.append(code)
+
+    # 写入 bg_job
+    job_id = next(_id_gen)
+    now = datetime.now()
+    async with MysqlSession() as mysql:
+        await mysql.execute(
+            insert(Job).values(
+                id=job_id,
+                title=result.get("title", ""),
+                company_id=company_id,
+                category_id=result.get("categoryId", 0),
+                employment_type=result.get("employmentType", 0),
+                description=result.get("description", ""),
+                requirement=result.get("requirement", ""),
+                bonus=result.get("bonus"),
+                tags=result.get("tags"),
+                skill_tags=result.get("skillTags"),
+                salary=result.get("salary"),
+                education=result.get("education", 0),
+                min_experience=result.get("minExperience", 0),
+                required_industry_id=result.get("requiredIndustryId"),
+                recruit_category=data.get("recruit_category", 3),
+                expire_at=data.get("expire_at"),
+                source_url=data.get("detail_url"),
+                source_id=source_id,
+                status=0,
+                create_time=now,
+                update_time=now,
+            )
+        )
+
+        # 写入地区关联
+        if region_codes:
+            await mysql.execute(
+                insert(JobRegionRelation),
+                [{"id": next(_id_gen), "job_id": job_id, "region_code": code, "create_time": now} for code in region_codes],
+            )
+
+        await mysql.commit()
+
+    # 更新 PG 状态
+    await _update_pg_status(data_id, "cleaned")
+    log.info("[id={}] 入库成功：{} | 公司={} | 地区={}", data_id, result.get("title"), company_short_name, region_codes)
+
+    # 第二次AI：专业匹配（失败不影响）
+    try:
+        await _match_major(job_id, result)
+        log.debug("[id={}] 专业匹配完成", data_id)
+    except Exception as e:
+        log.warning("[id={}] 专业匹配失败: {}", data_id, e)
+
+    # 第三次AI：技能提取（失败不影响）
+    try:
+        await _extract_skill_tags(job_id, result)
+        log.debug("[id={}] 技能提取完成", data_id)
+    except Exception as e:
+        log.warning("[id={}] 技能提取失败: {}", data_id, e)
+
+
+async def _match_major(job_id: int, result: dict) -> None:
+    """第二次AI：专业匹配"""
+    title = result.get("title", "")
+    desc = result.get("description", "")
+    req = result.get("requirement", "")
+    user_msg = f"【岗位信息】\n标题: {title}\n职责: {desc}\n要求: {req}\n\n【专业分类列表】\n{dict_cache.major_category_text}"
+
+    data = await ai_chat_json(JobCleanModel.MAJOR_MATCH, MAJOR_MATCH_SYSTEM, user_msg)
+    if data is None:
+        return
+
+    major_ids = [mid for mid in (data.get("requiredMajorIds") or []) if mid > 0]
+    sensitivity = data.get("majorSensitivity", 0)
+
+    async with MysqlSession() as mysql:
+        await mysql.execute(
+            text("""
+                UPDATE bg_job SET required_major_ids = :ids, major_sensitivity = :s, update_time = :t
+                WHERE id = :jid
+            """),
+            {"ids": json.dumps(major_ids) if major_ids else None, "s": sensitivity, "t": datetime.now(), "jid": job_id},
+        )
+        await mysql.commit()
+
+
+async def _extract_skill_tags(job_id: int, result: dict) -> None:
+    """第三次AI：技能提取"""
+    title = result.get("title", "")
+    desc = result.get("description", "")
+    req = result.get("requirement", "")
+    user_msg = f"【岗位信息】\n标题: {title}\n职责: {desc}\n要求: {req}"
+
+    skills = await ai_chat_json(JobCleanModel.SKILL_EXTRACT, SKILL_EXTRACT_SYSTEM, user_msg)
+    if not skills or not isinstance(skills, list):
+        return
+
+    now = datetime.now()
+    tag_ids = []
+    async with MysqlSession() as mysql:
+        for name in skills:
+            name = str(name).strip().lower()
+            if not name or len(name) > 50:
+                continue
+
+            tag_id = next(_id_gen)
+            # INSERT IGNORE
+            await mysql.execute(
+                text("INSERT IGNORE INTO bg_skill_tag (id, name) VALUES (:id, :name)"),
+                {"id": tag_id, "name": name},
+            )
+            # 查回真实ID
+            row = await mysql.execute(
+                text("SELECT id FROM bg_skill_tag WHERE name = :name LIMIT 1"),
+                {"name": name},
+            )
+            real_id = row.scalar()
+            if real_id and real_id not in tag_ids:
+                tag_ids.append(real_id)
+
+        if tag_ids:
+            await mysql.execute(
+                insert(JobSkillTagRelation),
+                [{"id": next(_id_gen), "job_id": job_id, "skill_tag_id": tid, "create_time": now} for tid in tag_ids],
+            )
+
+        await mysql.commit()
+
+
+async def _find_or_create_company(short_name: str) -> int:
+    """查找或创建公司（加锁防并发重复）"""
+    async with _company_lock:
+        async with MysqlSession() as mysql:
+            row = await mysql.execute(
+                text("SELECT id FROM bg_company WHERE short_name = :name LIMIT 1"),
+                {"name": short_name},
+            )
+            existing = row.scalar()
+            if existing:
+                return existing
+
+            company_id = next(_id_gen)
+            now = datetime.now()
+            await mysql.execute(
+                insert(Company).values(
+                    id=company_id,
+                    name=short_name,
+                    short_name=short_name,
+                    status=0,
+                    create_time=now,
+                    update_time=now,
+                )
+            )
+            await mysql.commit()
+            return company_id
+
+
+async def _update_pg_status(data_id: int, status: str) -> None:
+    """更新 PG 清洗状态"""
+    async with PgSession() as pg:
+        if status == "cleaned":
+            await pg.execute(
+                text("UPDATE app_job_data SET clean_status = :s, cleaned_at = NOW() WHERE id = :id"),
+                {"s": status, "id": data_id},
+            )
+        else:
+            await pg.execute(
+                text("UPDATE app_job_data SET clean_status = :s WHERE id = :id"),
+                {"s": status, "id": data_id},
+            )
+        await pg.commit()
+
+
+def _build_user_message(data: dict) -> str:
+    """构建第一次AI的用户消息"""
+    parts = [
+        "【原始数据】",
+        f"岗位名称: {data.get('job_title') or ''}",
+        f"薪资: {data.get('salary') or ''}",
+        f"工作地点: {data.get('location') or ''}",
+        f"公司: {data.get('company') or ''}",
+        f"经验要求: {data.get('experience') or ''}",
+        f"学历要求: {data.get('education') or ''}",
+        f"岗位详情: {data.get('description') or ''}",
+        "",
+        f"【岗位分类列表】\n{dict_cache.job_category_text}",
+        "",
+        f"【行业列表】\n{dict_cache.industry_text}",
+    ]
+    return "\n".join(parts)

app/services/job_expire_service.py

@@ -0,0 +1,29 @@
+"""岗位下架服务
+
+每天定时执行，将 create_time 超过 N 天的岗位标记为已失效。
+"""
+
+from sqlalchemy import text
+
+from app.config import settings
+from app.core.database import MysqlSession
+from app.core.logger import log
+
+
+async def run_job_expire() -> None:
+    """下架过期岗位"""
+    days = int(settings.job_expire_days)
+    async with MysqlSession() as mysql:
+        result = await mysql.execute(
+            text(f"""
+                UPDATE bg_job
+                SET status = 2, update_time = NOW()
+                WHERE status = 0
+                  AND create_time < DATE_SUB(NOW(), INTERVAL {days} DAY)
+            """),
+        )
+        await mysql.commit()
+        affected = result.rowcount
+
+    if affected > 0:
+        log.info("岗位下架：{}条岗位已标记为失效（超过{}天）", affected, days)

app/services/zombie_recover_service.py

@@ -0,0 +1,42 @@
+"""僵尸恢复服务"""
+
+from sqlalchemy import text
+
+from app.core.database import PgSession, MysqlSession
+from app.core.logger import log
+
+
+async def recover_job_zombie() -> None:
+    """岗位清洗僵尸恢复：超时10分钟的 cleaning → pending"""
+    async with PgSession() as pg:
+        result = await pg.execute(
+            text("""
+                UPDATE app_job_data
+                SET clean_status = 'pending', clean_started_at = NULL
+                WHERE clean_status = 'cleaning'
+                  AND clean_started_at < NOW() - INTERVAL '10 minutes'
+            """)
+        )
+        await pg.commit()
+        affected = result.rowcount
+
+    if affected > 0:
+        log.info("岗位僵尸恢复：重置{}条数据", affected)
+
+
+async def recover_company_zombie() -> None:
+    """公司补充僵尸恢复：超时10分钟的 status=3 → 0"""
+    async with MysqlSession() as mysql:
+        result = await mysql.execute(
+            text("""
+                UPDATE bg_company
+                SET status = 0, update_time = NOW()
+                WHERE status = 3
+                  AND update_time < NOW() - INTERVAL 10 MINUTE
+            """)
+        )
+        await mysql.commit()
+        affected = result.rowcount
+
+    if affected > 0:
+        log.info("公司僵尸恢复：重置{}条数据", affected)