{"id":1004727,"date":"2024-12-27T10:29:08","date_gmt":"2024-12-27T02:29:08","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1004727.html"},"modified":"2024-12-27T10:29:10","modified_gmt":"2024-12-27T02:29:10","slug":"python%e5%a6%82%e4%bd%95%e5%85%b3%e8%81%94%e5%a4%9a%e5%bc%a0%e8%a1%a8","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1004727.html","title":{"rendered":"python\u5982\u4f55\u5173\u8054\u591a\u5f20\u8868"},"content":{"rendered":"

\"python\u5982\u4f55\u5173\u8054\u591a\u5f20\u8868\"<\/p>\n

\u5f00\u5934\u6bb5\u843d:
\u5728Python\u4e2d\u5173\u8054\u591a\u5f20\u8868\u7684\u4e3b\u8981\u65b9\u6cd5\u6709\u5229\u7528SQLAlchemy\u8fdb\u884cORM\u64cd\u4f5c\u3001\u4f7f\u7528Pandas\u5408\u5e76\u6570\u636e\u6846\u3001\u76f4\u63a5\u901a\u8fc7SQL\u8bed\u53e5\u8fdb\u884c\u5173\u8054<\/strong>\u3002\u5176\u4e2d\uff0c\u4f7f\u7528SQLAlchemy\u8fdb\u884cORM\u64cd\u4f5c\u662f\u8f83\u4e3a\u5e38\u89c1\u7684\u65b9\u6cd5\uff0c\u5b83\u901a\u8fc7\u9762\u5411\u5bf9\u8c61\u7684\u65b9\u5f0f\u6765\u7ba1\u7406\u6570\u636e\u5e93\uff0c\u4f7f\u5f97\u4ee3\u7801\u66f4\u5177\u53ef\u8bfb\u6027\u548c\u7ef4\u62a4\u6027\u3002SQLAlchemy\u5141\u8bb8\u5f00\u53d1\u8005\u5b9a\u4e49Python\u7c7b\u6765\u6620\u5c04\u6570\u636e\u5e93\u8868\uff0c\u5e76\u901a\u8fc7\u5173\u7cfb\u5c5e\u6027\u6765\u5b9e\u73b0\u8868\u4e4b\u95f4\u7684\u5173\u8054<\/strong>\u3002\u8fd9\u79cd\u65b9\u6cd5\u4e0d\u4ec5\u652f\u6301\u591a\u79cd\u6570\u636e\u5e93\u7c7b\u578b\uff0c\u8fd8\u80fd\u591f\u6709\u6548\u5730\u7ba1\u7406\u590d\u6742\u7684\u5173\u7cfb\u3002\u5176\u6838\u5fc3\u5728\u4e8e\u5b9a\u4e49\u5173\u7cfb\u5bf9\u8c61\uff0c\u5e76\u5229\u7528\u5916\u952e\u8fdb\u884c\u8868\u4e4b\u95f4\u7684\u94fe\u63a5\uff0c\u4ece\u800c\u5728\u67e5\u8be2\u65f6\u5b9e\u73b0\u591a\u8868\u8054\u5408\u67e5\u8be2\u3002<\/p>\n<\/p>\n

\u4e00\u3001SQLALCHEMY\u8fdb\u884cORM\u64cd\u4f5c<\/p>\n<\/p>\n

SQLAlchemy\u662fPython\u4e2d\u4e00\u4e2a\u5f3a\u5927\u7684ORM\u5e93\uff0c\u5b83\u5141\u8bb8\u5f00\u53d1\u8005\u4f7f\u7528Python\u5bf9\u8c61\u6765\u6620\u5c04\u6570\u636e\u5e93\u4e2d\u7684\u8868\u3002\u901a\u8fc7\u8fd9\u79cd\u65b9\u5f0f\uff0c\u53ef\u4ee5\u7528\u9762\u5411\u5bf9\u8c61\u7684\u65b9\u5f0f\u6765\u8fdb\u884c\u6570\u636e\u5e93\u64cd\u4f5c\uff0c\u4f7f\u4ee3\u7801\u66f4\u6613\u4e8e\u9605\u8bfb\u548c\u7ef4\u62a4\u3002<\/p>\n<\/p>\n

    \n
  1. \u5b9a\u4e49\u6a21\u578b\u7c7b<\/strong><\/li>\n<\/ol>\n

    \u5728SQLAlchemy\u4e2d\uff0c\u6570\u636e\u5e93\u8868\u88ab\u6620\u5c04\u4e3aPython\u7c7b\uff0c\u8868\u4e2d\u7684\u6bcf\u4e00\u5217\u5bf9\u5e94\u7c7b\u7684\u4e00\u4e2a\u5c5e\u6027\u3002\u9996\u5148\u9700\u8981\u5b9a\u4e49\u597d\u6a21\u578b\u7c7b\uff0c\u5e76\u901a\u8fc7\u7ee7\u627fdeclarative_base<\/code>\u6765\u521b\u5efa\u57fa\u7c7b\u3002<\/p>\n<\/p>\n

    from sqlalchemy import Column, Integer, String, ForeignKey<\/p>\n
    from sqlalchemy.ext.declarative import declarative_base<\/p>\n
    Base = declarative_base()<\/p>\n
    class User(Base):<\/p>\n
        __tablename__ = 'users'<\/p>\n
        id = Column(Integer, primary_key=True)<\/p>\n
        name = Column(String)<\/p>\n
        address_id = Column(Integer, ForeignKey('addresses.id'))<\/p>\n
    class Address(Base):<\/p>\n
        __tablename__ = 'addresses'<\/p>\n
        id = Column(Integer, primary_key=True)<\/p>\n
        emAI<\/a>l_address = Column(String)<\/p>\n
    <\/code><\/pre>\n<\/p>\n
      \n
    1. \u5efa\u7acb\u5173\u7cfb<\/strong><\/li>\n<\/ol>\n
      \u901a\u8fc7relationship<\/code>\u6765\u5b9a\u4e49\u8868\u4e4b\u95f4\u7684\u5173\u7cfb\uff0c\u4ece\u800c\u5b9e\u73b0\u8868\u7684\u5173\u8054\u3002<\/p>\n<\/p>\n
      from sqlalchemy.orm import relationship<\/p>\n
      class User(Base):<\/p>\n
          # ... other code ...<\/p>\n
          address = relationship("Address", back_populates="user")<\/p>\n
      class Address(Base):<\/p>\n
          # ... other code ...<\/p>\n
          user = relationship("User", back_populates="address")<\/p>\n
      <\/code><\/pre>\n<\/p>\n
        \n
      1. \u6267\u884c\u67e5\u8be2<\/strong><\/li>\n<\/ol>\n
        \u4e00\u65e6\u5b9a\u4e49\u4e86\u6a21\u578b\u548c\u5173\u7cfb\uff0c\u5c31\u53ef\u4ee5\u901a\u8fc7SQLAlchemy\u7684\u67e5\u8be2\u63a5\u53e3\u6765\u5b9e\u73b0\u591a\u8868\u8054\u5408\u67e5\u8be2\u3002<\/p>\n<\/p>\n
        from sqlalchemy.orm import sessionmaker<\/p>\n
        Session = sessionmaker(bind=engine)<\/p>\n
        session = Session()<\/p>\n
        results = session.query(User).join(Address).filter(Address.email_address == 'example@example.com').all()<\/p>\n
        <\/code><\/pre>\n<\/p>\n
        \u8fd9\u79cd\u65b9\u5f0f\u4e0d\u4ec5\u652f\u6301\u7b80\u5355\u7684\u67e5\u8be2\uff0c\u8fd8\u80fd\u591f\u901a\u8fc7\u590d\u6742\u7684\u8fc7\u6ee4\u6761\u4ef6\u6765\u83b7\u53d6\u9700\u8981\u7684\u6570\u636e\u3002<\/p>\n<\/p>\n
        \u4e8c\u3001\u4f7f\u7528PANDAS\u5408\u5e76\u6570\u636e\u6846<\/p>\n<\/p>\n
        Pandas\u662fPython\u4e2d\u4e00\u4e2a\u5e7f\u6cdb\u4f7f\u7528\u7684\u6570\u636e\u5206\u6790\u5e93\uff0c\u53ef\u4ee5\u7528\u6765\u5904\u7406\u548c\u5206\u6790\u5927\u578b\u6570\u636e\u96c6\u3002\u5728\u5904\u7406\u591a\u5f20\u8868\u65f6\uff0c\u53ef\u4ee5\u4f7f\u7528Pandas\u7684merge<\/code>\u51fd\u6570\u6765\u5408\u5e76\u6570\u636e\u6846\u3002<\/p>\n<\/p>\n
          \n
        1. \u8bfb\u53d6\u6570\u636e<\/strong><\/li>\n<\/ol>\n
          \u9996\u5148\uff0c\u9700\u8981\u5c06\u591a\u5f20\u8868\u7684\u6570\u636e\u8bfb\u53d6\u5230Pandas\u7684\u6570\u636e\u6846\u4e2d\u3002\u53ef\u4ee5\u4f7f\u7528read_sql<\/code>\u51fd\u6570\u4ece\u6570\u636e\u5e93\u4e2d\u8bfb\u53d6\u6570\u636e\u3002<\/p>\n<\/p>\n
          import pandas as pd<\/p>\n
          from sqlalchemy import create_engine<\/p>\n
          engine = create_engine('sqlite:\/\/\/:memory:')<\/p>\n
          users_df = pd.read_sql('SELECT * FROM users', engine)<\/p>\n
          addresses_df = pd.read_sql('SELECT * FROM addresses', engine)<\/p>\n
          <\/code><\/pre>\n<\/p>\n
            \n
          1. \u5408\u5e76\u6570\u636e\u6846<\/strong><\/li>\n<\/ol>\n
            \u4f7f\u7528merge<\/code>\u51fd\u6570\uff0c\u6839\u636e\u6307\u5b9a\u7684\u952e\u6765\u5408\u5e76\u591a\u4e2a\u6570\u636e\u6846\u3002<\/p>\n<\/p>\n
            merged_df = pd.merge(users_df, addresses_df, left_on='address_id', right_on='id')<\/p>\n
            <\/code><\/pre>\n<\/p>\n
              \n
            1. \u5904\u7406\u5408\u5e76\u540e\u7684\u6570\u636e<\/strong><\/li>\n<\/ol>\n
              \u5408\u5e76\u540e\u7684\u6570\u636e\u6846\u53ef\u4ee5\u50cf\u666e\u901a\u7684Pandas\u6570\u636e\u6846\u4e00\u6837\u8fdb\u884c\u5904\u7406\u548c\u5206\u6790\u3002<\/p>\n<\/p>\n
              filtered_df = merged_df[merged_df['email_address'] == 'example@example.com']<\/p>\n
              <\/code><\/pre>\n<\/p>\n
              \u901a\u8fc7Pandas\u7684\u5f3a\u5927\u529f\u80fd\uff0c\u53ef\u4ee5\u65b9\u4fbf\u5730\u5bf9\u5408\u5e76\u540e\u7684\u6570\u636e\u8fdb\u884c\u5404\u79cd\u7edf\u8ba1\u5206\u6790\u548c\u53ef\u89c6\u5316\u64cd\u4f5c\u3002<\/p>\n<\/p>\n
              \u4e09\u3001\u76f4\u63a5\u901a\u8fc7SQL\u8bed\u53e5\u8fdb\u884c\u5173\u8054<\/p>\n<\/p>\n
              \u5728\u67d0\u4e9b\u60c5\u51b5\u4e0b\uff0c\u76f4\u63a5\u4f7f\u7528SQL\u8bed\u53e5\u8fdb\u884c\u591a\u8868\u5173\u8054\u53ef\u80fd\u662f\u66f4\u76f4\u63a5\u548c\u9ad8\u6548\u7684\u65b9\u6cd5\u3002Python\u4e2d\u7684sqlite3<\/code>\u6216SQLAlchemy<\/code>\u90fd\u652f\u6301\u76f4\u63a5\u6267\u884cSQL\u8bed\u53e5\u3002<\/p>\n<\/p>\n
                \n
              1. \u7f16\u5199SQL\u8bed\u53e5<\/strong><\/li>\n<\/ol>\n
                \u7f16\u5199\u4e00\u6761SQL\u8bed\u53e5\uff0c\u7528\u4e8e\u5173\u8054\u591a\u5f20\u8868\u3002<\/p>\n<\/p>\n
                SELECT users.name, addresses.email_address <\/p>\n
                FROM users <\/p>\n
                JOIN addresses ON users.address_id = addresses.id <\/p>\n
                WHERE addresses.email_address = 'example@example.com';<\/p>\n
                <\/code><\/pre>\n<\/p>\n
                  \n
                1. \u6267\u884cSQL\u8bed\u53e5<\/strong><\/li>\n<\/ol>\n
                  \u901a\u8fc7Python\u6267\u884c\u8fd9\u6761SQL\u8bed\u53e5\uff0c\u5e76\u83b7\u53d6\u7ed3\u679c\u3002<\/p>\n<\/p>\n
                  import sqlite3<\/p>\n
                  conn = sqlite3.connect(':memory:')<\/p>\n
                  cursor = conn.cursor()<\/p>\n
                  cursor.execute('''<\/p>\n
                      SELECT users.name, addresses.email_address <\/p>\n
                      FROM users <\/p>\n
                      JOIN addresses ON users.address_id = addresses.id <\/p>\n
                      WHERE addresses.email_address = 'example@example.com';<\/p>\n
                  ''')<\/p>\n
                  results = cursor.fetchall()<\/p>\n
                  <\/code><\/pre>\n<\/p>\n
                    \n
                  1. \u5904\u7406\u7ed3\u679c<\/strong><\/li>\n<\/ol>\n
                    \u83b7\u53d6\u5230\u7684\u7ed3\u679c\u53ef\u4ee5\u8fdb\u884c\u8fdb\u4e00\u6b65\u7684\u5904\u7406\u548c\u5206\u6790\u3002<\/p>\n<\/p>\n
                    for row in results:<\/p>\n
                        print(f"Name: {row[0]}, Email: {row[1]}")<\/p>\n
                    <\/code><\/pre>\n<\/p>\n
                    \u76f4\u63a5\u4f7f\u7528SQL\u8bed\u53e5\u53ef\u4ee5\u5728\u9700\u8981\u9ad8\u6027\u80fd\u7684\u60c5\u51b5\u4e0b\u63d0\u4f9b\u5feb\u901f\u7684\u67e5\u8be2\u548c\u6570\u636e\u5904\u7406\u3002<\/p>\n<\/p>\n
                    \u56db\u3001\u603b\u7ed3\u4e0e\u9009\u62e9<\/p>\n<\/p>\n
                    \u5728Python\u4e2d\u5173\u8054\u591a\u5f20\u8868\u6709\u591a\u79cd\u65b9\u6cd5\uff0c\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5\u53d6\u51b3\u4e8e\u5177\u4f53\u7684\u5e94\u7528\u573a\u666f\u548c\u9700\u6c42\u3002<\/p>\n<\/p>\n
                      \n
                    1. \u4f7f\u7528SQLAlchemy\u8fdb\u884cORM\u64cd\u4f5c<\/strong><\/li>\n<\/ol>\n
                      \u9002\u5408\u4e8e\u9700\u8981\u5bf9\u6570\u636e\u5e93\u8fdb\u884c\u9891\u7e41\u64cd\u4f5c\u7684\u5e94\u7528\uff0c\u53ef\u4ee5\u901a\u8fc7\u5bf9\u8c61\u5173\u7cfb\u6620\u5c04\u63d0\u9ad8\u4ee3\u7801\u7684\u53ef\u8bfb\u6027\u548c\u7ef4\u62a4\u6027\u3002\u5bf9\u4e8e\u590d\u6742\u7684\u4e1a\u52a1\u903b\u8f91\u548c\u591a\u8868\u5173\u7cfb\uff0cSQLAlchemy\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u529f\u80fd\u548c\u7075\u6d3b\u6027\u3002<\/p>\n<\/p>\n
                        \n
                      1. \u4f7f\u7528Pandas\u5408\u5e76\u6570\u636e\u6846<\/strong><\/li>\n<\/ol>\n
                        \u9002\u5408\u4e8e\u6570\u636e\u5206\u6790\u548c\u5904\u7406\uff0c\u53ef\u4ee5\u5feb\u901f\u5730\u5bf9\u6570\u636e\u8fdb\u884c\u5408\u5e76\u3001\u8f6c\u6362\u548c\u5206\u6790\u3002\u5bf9\u4e8e\u8f83\u5927\u7684\u6570\u636e\u96c6\uff0cPandas\u63d0\u4f9b\u4e86\u9ad8\u6548\u7684\u5904\u7406\u80fd\u529b\u548c\u4e30\u5bcc\u7684\u529f\u80fd\u3002<\/p>\n<\/p>\n
                          \n
                        1. \u76f4\u63a5\u901a\u8fc7SQL\u8bed\u53e5\u8fdb\u884c\u5173\u8054<\/strong><\/li>\n<\/ol>\n
                          \u9002\u5408\u4e8e\u9700\u8981\u9ad8\u6027\u80fd\u548c\u5feb\u901f\u67e5\u8be2\u7684\u573a\u666f\uff0c\u76f4\u63a5\u4f7f\u7528SQL\u8bed\u53e5\u53ef\u4ee5\u63d0\u4f9b\u6700\u76f4\u63a5\u7684\u63a7\u5236\u548c\u4f18\u5316\u7a7a\u95f4\u3002\u5c24\u5176\u662f\u5728\u9700\u8981\u590d\u6742\u67e5\u8be2\u548c\u6279\u91cf\u6570\u636e\u5904\u7406\u65f6\uff0cSQL\u8bed\u53e5\u7684\u7075\u6d3b\u6027\u548c\u9ad8\u6548\u6027\u662f\u65e0\u53ef\u66ff\u4ee3\u7684\u3002<\/p>\n<\/p>\n
                          \u5728\u5b9e\u9645\u5f00\u53d1\u4e2d\uff0c\u53ef\u4ee5\u6839\u636e\u5177\u4f53\u9700\u6c42\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5\uff0c\u751a\u81f3\u53ef\u4ee5\u7ed3\u5408\u591a\u79cd\u65b9\u6cd5\uff0c\u5145\u5206\u5229\u7528\u5404\u81ea\u7684\u4f18\u52bf\u6765\u5b9e\u73b0\u9ad8\u6548\u7684\u6570\u636e\u5904\u7406\u548c\u5206\u6790\u3002<\/p>\n<\/p>\n
                          \u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
                           \u5982\u4f55\u5728Python\u4e2d\u4f7f\u7528SQLAlchemy\u5173\u8054\u591a\u5f20\u8868\uff1f<\/strong>
                          \u4f7f\u7528SQLAlchemy\u8fdb\u884c\u591a\u8868\u5173\u8054\u65f6\uff0c\u53ef\u4ee5\u901a\u8fc7\u5b9a\u4e49\u8868\u4e4b\u95f4\u7684\u5173\u7cfb\u6765\u5b9e\u73b0\u3002\u901a\u8fc7\u5efa\u7acb\u5916\u952e\u5173\u7cfb\u5e76\u4f7f\u7528relationship()<\/code>\u51fd\u6570\uff0c\u53ef\u4ee5\u65b9\u4fbf\u5730\u5728\u67e5\u8be2\u4e2d\u83b7\u53d6\u76f8\u5173\u8054\u7684\u8bb0\u5f55\u3002\u786e\u4fdd\u5728\u6a21\u578b\u7c7b\u4e2d\u6b63\u786e\u914d\u7f6e\u5404\u4e2a\u8868\u7684\u5173\u7cfb\uff0c\u4f8b\u5982\u4e00\u5bf9\u591a\u6216\u591a\u5bf9\u591a\u7684\u5173\u7cfb\u3002<\/p>\n
                          \u5728\u4f7f\u7528Pandas\u65f6\uff0c\u5982\u4f55\u5408\u5e76\u591a\u5f20\u6570\u636e\u8868\uff1f<\/strong>
                          \u5728Pandas\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528merge()<\/code>\u51fd\u6570\u6765\u5408\u5e76\u591a\u5f20\u6570\u636e\u8868\u3002\u901a\u8fc7\u6307\u5b9aon<\/code>\u53c2\u6570\uff0c\u53ef\u4ee5\u9009\u62e9\u4e00\u4e2a\u6216\u591a\u4e2a\u5171\u540c\u7684\u5217\u8fdb\u884c\u8fde\u63a5\u3002\u6839\u636e\u9700\u8981\uff0c\u53ef\u4ee5\u9009\u62e9\u4e0d\u540c\u7684\u8fde\u63a5\u65b9\u5f0f\uff0c\u5982\u5185\u8fde\u63a5\u3001\u5916\u8fde\u63a5\u7b49\uff0c\u786e\u4fdd\u5408\u5e76\u540e\u7684\u6570\u636e\u6846\u5305\u542b\u6240\u9700\u7684\u4fe1\u606f\u3002<\/p>\n
                          \u5982\u4f55\u5728Python\u4e2d\u5904\u7406\u591a\u5f20\u8868\u7684\u6570\u636e\u67e5\u8be2\uff1f<\/strong>
                          \u5728\u8fdb\u884c\u591a\u8868\u67e5\u8be2\u65f6\uff0c\u53ef\u4ee5\u4f7f\u7528JOIN\u8bed\u53e5\u6765\u83b7\u53d6\u6240\u9700\u7684\u6570\u636e\u3002\u65e0\u8bba\u662f\u4f7f\u7528SQLAlchemy\u8fd8\u662fPandas\uff0c\u786e\u4fdd\u7406\u89e3\u5404\u4e2a\u8868\u4e4b\u95f4\u7684\u5173\u7cfb\uff0c\u5e76\u9009\u62e9\u5408\u9002\u7684\u67e5\u8be2\u65b9\u5f0f\u3002\u5982\u679c\u4f7f\u7528SQLAlchemy\uff0c\u53ef\u4ee5\u5229\u7528ORM\u7279\u6027\u6765\u7b80\u5316\u67e5\u8be2\u8fc7\u7a0b\uff0c\u800cPandas\u5219\u53ef\u4ee5\u901a\u8fc7\u94fe\u5f0f\u64cd\u4f5c\u6765\u5b9e\u73b0\u590d\u6742\u7684\u6570\u636e\u67e5\u8be2\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5f00\u5934\u6bb5\u843d:\u5728Python\u4e2d\u5173\u8054\u591a\u5f20\u8868\u7684\u4e3b\u8981\u65b9\u6cd5\u6709\u5229\u7528SQLAlchemy\u8fdb\u884cORM\u64cd\u4f5c\u3001\u4f7f\u7528Pandas\u5408\u5e76\u6570 […]","protected":false},"author":3,"featured_media":1004736,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[37],"tags":[],"acf":[],"_links":{"self":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1004727"}],"collection":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/comments?post=1004727"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1004727\/revisions"}],"predecessor-version":[{"id":1004737,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1004727\/revisions\/1004737"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1004736"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1004727"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1004727"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1004727"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}