zyi
b19a2415f9
- 新增 app/api、app/service 数据分析 Agent 全套服务与接口 - schemas.py 重构为 schemas 包（analyst schema） - 新增 SQL 防注入、guardrail、缓存、字典、LLM 等服务 - 新增 tests 测试套件与 scripts/dev、scripts/setup 脚本 - 补充需求规格、架构说明书、开发清单、表设计等文档
56 lines
1.6 KiB
Python
56 lines
1.6 KiB
Python
"""导出数据分析 Agent 可读表的列结构（用于 NL2SQL 的 schema 元数据注入）。"""
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import pathlib
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import pymysql
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def load_env(path=".env"):
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env = {}
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for line in pathlib.Path(path).read_text(encoding="utf-8").splitlines():
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line = line.strip()
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if not line or line.startswith("#") or "=" not in line:
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continue
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k, v = line.split("=", 1)
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env[k.strip()] = v.strip()
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return env
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TABLES = [
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("jinrong_core", "core_customer"),
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("jinrong_core", "core_customer_risk"),
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("jinrong_core", "core_customer_advisor"),
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("jinrong_core", "core_holding"),
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("jinrong_core", "core_trade"),
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("jinrong_core", "core_cash_flow"),
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("jinrong_core", "core_product"),
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("jinrong_core", "core_product_nav"),
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("jinrong_core", "core_staff"),
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("jinrong_core", "core_risk_grade"),
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("jinrong_agent", "risk_alert"),
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]
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def main():
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env = load_env()
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conn = pymysql.connect(
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host=env.get("MYSQL_HOST", "127.0.0.1"),
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port=int(env.get("MYSQL_PORT", "3306")),
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user=env.get("MYSQL_USER", "root"),
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password=env.get("MYSQL_PASSWORD", ""),
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charset="utf8mb4",
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)
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with conn.cursor() as cur:
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for db, tbl in TABLES:
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cur.execute(
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"SELECT column_name, data_type FROM information_schema.columns "
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"WHERE table_schema=%s AND table_name=%s ORDER BY ordinal_position",
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(db, tbl),
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)
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cols = [f"{c[0]}:{c[1]}" for c in cur.fetchall()]
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print(f"{tbl} ({db}) -> {', '.join(cols)}")
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conn.close()
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if __name__ == "__main__":
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main()
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