feat：生成对应编制依据信息json文件

.env

@@ -0,0 +1,16 @@
+# MinIO配置
+MINIO_ENDPOINT=192.168.91.15:19000
+MINIO_ACCESS_KEY=HVFOa38zUDg3X6c14hpH
+MINIO_SECRET_KEY=ilVITuWEmjG0YDBAWspSG6UniHpEoMDECSuCo0f1
+MINIO_BUCKET_NAME=aidata
+MINIO_USE_SSL=False
+MINIO_BASE_PATH=sampledata
+
+# Milvus向量数据库配置信息
+MILVUS_HOST=192.168.92.61
+MILVUS_PORT=19530
+MILVUS_DB=lq_db
+MILVUS_USER=
+MILVUS_PASSWORD=
+
+DATABASE_URL=mysql+aiomysql://root:lq123@192.168.92.61:13306/lq_oauth_db

.python-version

@@ -0,0 +1 @@
+3.12

README.md

@@ -1,3 +1,4 @@
 # LQKgDataGovernance
 
-路桥数据治理、知识库入库处理
+路桥数据治理、知识库入库处
+

pyproject.toml

@@ -0,0 +1,12 @@
+[project]
+name = "lqkgdatagovernance"
+version = "0.1.0"
+description = "Add your description here"
+readme = "README.md"
+requires-python = ">=3.12"
+dependencies = [
+    "minio>=7.2.20",
+    "openpyxl>=3.1.5",
+    "pymilvus>=2.6.6",
+    "sqlalchemy>=2.0.46",
+]

src/app/config/__init__.py

@@ -0,0 +1,14 @@
+from .setting import Settings, load_settings, settings
+from .database import get_async_engine, get_async_sessionmaker
+from .minio_client import get_minio_client
+from .milvus_client import get_milvus_connection
+
+__all__ = [
+	"Settings",
+	"load_settings",
+	"settings",
+	"get_async_engine",
+	"get_async_sessionmaker",
+	"get_minio_client",
+	"get_milvus_connection",
+]

src/app/config/database.py

@@ -0,0 +1,41 @@
+"""基于配置的 DATABASE_URL 创建/获取异步数据库引擎。"""
+from __future__ import annotations
+
+from typing import Optional
+
+from sqlalchemy.ext.asyncio import async_sessionmaker, create_async_engine
+
+from .setting import settings
+
+_engine = None  # type: Optional[object]
+_sessionmaker = None  # type: Optional[object]
+
+
+def get_async_engine():
+    """创建或返回已缓存的异步 SQLAlchemy 引擎。"""
+    global _engine
+    if _engine is not None:
+        return _engine
+
+    if not settings.database_url:
+        raise ValueError("DATABASE_URL is not configured")
+
+    _engine = create_async_engine(
+        settings.database_url,
+        echo=False,
+        pool_pre_ping=True,
+        pool_recycle=3600,
+    )
+    return _engine
+
+
+def get_async_sessionmaker():
+    """创建或返回与引擎绑定的异步 sessionmaker。"""
+    global _sessionmaker
+    if _sessionmaker is not None:
+        return _sessionmaker
+
+    engine = get_async_engine()
+
+    _sessionmaker = async_sessionmaker(engine, expire_on_commit=False)
+    return _sessionmaker

src/app/config/milvus_client.py

@@ -0,0 +1,32 @@
+"""基于 .env 配置创建/获取 Milvus 连接。"""
+from __future__ import annotations
+
+from typing import Optional
+
+from pymilvus import connections
+
+from .setting import settings
+
+_default_alias = "default"
+
+
+def get_milvus_connection(alias: Optional[str] = None):
+    """连接 Milvus（若已连接则复用）并返回连接别名。"""
+
+    alias_name = alias or _default_alias
+    if connections.has_connection(alias_name):
+        return alias_name
+
+    cfg = settings.milvus
+    if not cfg.host or not cfg.port:
+        raise ValueError("Milvus configuration is incomplete")
+
+    connections.connect(
+        alias=alias_name,
+        host=cfg.host,
+        port=cfg.port,
+        user=cfg.user or None,
+        password=cfg.password or None,
+        db_name=cfg.db or None,
+    )
+    return alias_name

src/app/config/minio_client.py

@@ -0,0 +1,29 @@
+"""基于 .env 配置创建/获取 MinIO 客户端。"""
+from __future__ import annotations
+
+from typing import Optional
+
+from minio import Minio
+
+from .setting import settings
+
+_client = None  # type: Optional[object]
+
+
+def get_minio_client():
+    """创建或返回已缓存的 MinIO 客户端。"""
+    global _client
+    if _client is not None:
+        return _client
+
+    cfg = settings.minio
+    if not cfg.endpoint or not cfg.access_key or not cfg.secret_key:
+        raise ValueError("MinIO configuration is incomplete")
+
+    _client = Minio(
+        cfg.endpoint,
+        access_key=cfg.access_key,
+        secret_key=cfg.secret_key,
+        secure=cfg.use_ssl,
+    )
+    return _client

src/app/config/setting.py

@@ -0,0 +1,98 @@
+"""Lightweight settings loader for .env-based configuration."""
+from __future__ import annotations
+
+import os
+from dataclasses import dataclass
+from pathlib import Path
+from typing import Optional
+
+# Resolve project root (three levels up from this file: config -> app -> src -> project root)
+PROJECT_ROOT = Path(__file__).resolve().parent.parent.parent
+ENV_FILE = PROJECT_ROOT / ".env"
+
+
+def _load_env_file(path: Path = ENV_FILE) -> None:
+    """Populate os.environ with key/value pairs from a .env file if present."""
+    if not path.exists() or not path.is_file():
+        return
+
+    for raw_line in path.read_text(encoding="utf-8").splitlines():
+        line = raw_line.strip()
+        if not line or line.startswith("#"):
+            continue
+        if "=" not in line:
+            continue
+        key, value = line.split("=", 1)
+        key = key.strip()
+        value = value.strip()
+        if key and key not in os.environ:
+            os.environ[key] = value
+
+
+def _to_bool(value: Optional[str], default: bool = False) -> bool:
+    if value is None:
+        return default
+    return value.strip().lower() in {"1", "true", "t", "yes", "y", "on"}
+
+
+def _to_int(value: Optional[str], default: int) -> int:
+    try:
+        return int(value) if value is not None and value != "" else default
+    except ValueError:
+        return default
+
+
+@dataclass
+class MinioSettings:
+    endpoint: str
+    access_key: str
+    secret_key: str
+    bucket_name: str
+    use_ssl: bool
+    base_path: str
+
+
+@dataclass
+class MilvusSettings:
+    host: str
+    port: int
+    db: str
+    user: Optional[str]
+    password: Optional[str]
+
+
+@dataclass
+class Settings:
+    minio: MinioSettings
+    milvus: MilvusSettings
+    database_url: str
+
+
+def load_settings(env_file: Path = ENV_FILE) -> Settings:
+    """Load settings from the given .env file into structured objects."""
+    _load_env_file(env_file)
+
+    minio = MinioSettings(
+        endpoint=os.getenv("MINIO_ENDPOINT", ""),
+        access_key=os.getenv("MINIO_ACCESS_KEY", ""),
+        secret_key=os.getenv("MINIO_SECRET_KEY", ""),
+        bucket_name=os.getenv("MINIO_BUCKET_NAME", ""),
+        use_ssl=_to_bool(os.getenv("MINIO_USE_SSL"), default=False),
+        base_path=os.getenv("MINIO_BASE_PATH", ""),
+    )
+
+    milvus = MilvusSettings(
+        host=os.getenv("MILVUS_HOST", ""),
+        port=_to_int(os.getenv("MILVUS_PORT"), default=19530),
+        db=os.getenv("MILVUS_DB", ""),
+        user=os.getenv("MILVUS_USER"),
+        password=os.getenv("MILVUS_PASSWORD"),
+    )
+
+    database_url = os.getenv("DATABASE_URL", "")
+
+    return Settings(minio=minio, milvus=milvus, database_url=database_url)
+
+
+# Eagerly load settings so they are available on import.
+settings = load_settings()

src/app/models/__init__.py

@@ -0,0 +1,4 @@
+"""数据库模型定义。"""
+from .standard_base_info import StandardBaseInfo
+
+__all__ = ["StandardBaseInfo"]

src/app/models/standard_base_info.py

@@ -0,0 +1,101 @@
+"""施工标准规范知识库模型。"""
+from __future__ import annotations
+
+from datetime import date, datetime
+from typing import Optional
+
+from sqlalchemy import String, Date, DateTime
+from sqlalchemy.orm import DeclarativeBase, Mapped, mapped_column
+
+
+class Base(DeclarativeBase):
+    """SQLAlchemy 声明式基类。"""
+    pass
+
+
+class StandardBaseInfo(Base):
+    """施工标准规范知识库表模型。"""
+    
+    __tablename__ = "t_samp_standard_base_info"
+    __table_args__ = {"comment": "施工标准规范知识库"}
+
+    # 主键
+    id: Mapped[str] = mapped_column(
+        String(36), primary_key=True, comment="主键ID"
+    )
+
+    # 基本信息
+    chinese_name: Mapped[str] = mapped_column(
+        String(255), nullable=False, comment="中文名称"
+    )
+    english_name: Mapped[Optional[str]] = mapped_column(
+        String(500), nullable=True, comment="英文名称"
+    )
+    standard_number: Mapped[Optional[str]] = mapped_column(
+        String(100), nullable=True, comment="标准编号，如：xxx 3223—2021"
+    )
+
+    # 发布信息
+    issuing_authority: Mapped[Optional[str]] = mapped_column(
+        String(255), nullable=True, comment="发布单位"
+    )
+    release_date: Mapped[Optional[date]] = mapped_column(
+        Date, nullable=True, comment="发布日期"
+    )
+    implementation_date: Mapped[Optional[date]] = mapped_column(
+        Date, nullable=True, comment="实施日期"
+    )
+
+    # 编制信息
+    drafting_unit: Mapped[Optional[str]] = mapped_column(
+        String(255), nullable=True, comment="主编单位"
+    )
+    approving_department: Mapped[Optional[str]] = mapped_column(
+        String(255), nullable=True, comment="批准部门"
+    )
+    participating_units: Mapped[Optional[str]] = mapped_column(
+        String(255), nullable=True, comment="参编单位，可多条，建议用JSON数组或拆分多个字段；此处为第一个参编单位"
+    )
+
+    # 分类信息
+    document_type: Mapped[Optional[str]] = mapped_column(
+        String(50), nullable=True, comment="文件类型，枚举：法律法规、国家标准、行业标准、企业标准、规范性文件、技术规范"
+    )
+    professional_field: Mapped[Optional[str]] = mapped_column(
+        String(50), nullable=True, comment="专业领域，枚举：法律、参考规范、行政法规、部门规章"
+    )
+    engineering_phase: Mapped[Optional[str]] = mapped_column(
+        String(50), nullable=True, comment="工程阶段，待补充具体枚举值，如：规划、设计、施工、运维等"
+    )
+
+    # 状态与来源
+    validity: Mapped[Optional[str]] = mapped_column(
+        String(20), nullable=True, comment="时效性，枚举：现行、已废止、被替代"
+    )
+    reference_basis: Mapped[Optional[str]] = mapped_column(
+        String(500), nullable=True, comment="参考依据"
+    )
+    source_url: Mapped[Optional[str]] = mapped_column(
+        String(500), nullable=True, comment="文件来源网址，如：http://www.xxx.com/xxx/xxx/xxx.pdf"
+    )
+
+    # 审计字段
+    created_by: Mapped[Optional[str]] = mapped_column(
+        String(36), nullable=True, comment="创建人"
+    )
+    created_time: Mapped[Optional[datetime]] = mapped_column(
+        DateTime, nullable=True, default=datetime.now, comment="创建时间，默认当前时间"
+    )
+    updated_by: Mapped[Optional[str]] = mapped_column(
+        String(36), nullable=True, comment="修改人"
+    )
+    updated_time: Mapped[Optional[datetime]] = mapped_column(
+        DateTime, 
+        nullable=True, 
+        default=datetime.now, 
+        onupdate=datetime.now, 
+        comment="修改时间，默认当前时间"
+    )
+
+    def __repr__(self) -> str:
+        return f"<StandardBaseInfo(id={self.id!r}, chinese_name={self.chinese_name!r})>"

src/app/scripts/based_on_json_generation.py

@@ -0,0 +1,222 @@
+"""根据Excel和文件夹编号生成StandardBaseInfo信息并保存为JSON。"""
+from __future__ import annotations
+
+import json
+import uuid
+from datetime import datetime
+from pathlib import Path
+from typing import Any, Optional
+
+import pandas as pd
+
+from app.models import StandardBaseInfo
+
+
+# ==================== 配置参数 ====================
+# 修改这些参数以配置脚本行为
+EXCEL_FILE = r"C:\Users\ZengChao\Desktop\id.xlsx"  # ✅ Excel文件路径
+ROOT_FOLDER = r"C:\Users\ZengChao\Desktop\新建文件夹"               # ✅ 根文件夹路径
+SHEET_INDEX = 0  # 目标sheet索引（0为第一个sheet）
+# ================================================
+
+
+class StandardInfoGenerator:
+    """从Excel生成标准信息的生成器类。"""
+
+    # Excel第三个sheet列名映射到StandardBaseInfo字段
+    COLUMN_MAPPING = {
+        "编号": "standard_number",
+        "中文名": "chinese_name",
+        "英文名": "english_name",
+        "文件类型": "document_type",
+        "专业领域": "professional_field",
+        "状态": "validity",
+        "发布单位": "issuing_authority",
+        "发布时间": "release_date",
+        "实施日期": "implementation_date",
+        "文件来源网站": "source_url",
+        "起草单位": "drafting_unit",
+        "批准部门": "approving_department",
+        "工程阶段": "engineering_phase",
+        "参考依据": "reference_basis",
+        "录入人": "created_by",
+    }
+
+    def __init__(self, excel_path: str | Path, sheet_index: int = 2):
+        """
+        初始化生成器。
+        
+        Args:
+            excel_path: Excel文件路径
+            sheet_index: 目标sheet索引（0为第一个sheet，默认2为第三个）
+        """
+        self.excel_path = Path(excel_path)
+        self.sheet_index = sheet_index
+        self._load_excel()
+
+    def _load_excel(self) -> None:
+        """加载Excel文件第三个sheet。"""
+        if not self.excel_path.exists():
+            raise FileNotFoundError(f"Excel文件不存在: {self.excel_path}")
+
+        self.df = pd.read_excel(self.excel_path, sheet_name=self.sheet_index)
+        print(f"✅ 已加载Excel文件: {self.excel_path}，共{len(self.df)}行数据。")
+        print(self.df)
+        # 将id列设为索引便于查找
+        self.df.set_index("id", inplace=True, drop=False)
+
+    def _parse_date(self, value: Any) -> Optional[str]:
+        """
+        解析日期值为ISO格式字符串。
+        
+        Args:
+            value: 日期值（可能是字符串、日期对象等）
+            
+        Returns:
+            ISO格式的日期字符串或None
+        """
+        if pd.isna(value):
+            return None
+        
+        if isinstance(value, str) and value.strip():
+            try:
+                # 尝试解析 YYYY/MM/DD 格式
+                parsed = pd.to_datetime(value)
+                return parsed.strftime("%Y-%m-%d")
+            except Exception:
+                return None
+        
+        if hasattr(value, "strftime"):  # datetime/date对象
+            return value.strftime("%Y-%m-%d")
+        
+        return None
+
+    def get_standard_info_by_code(self, code: str) -> Optional[dict[str, Any]]:
+        """
+        根据id查询Excel中的标准信息。
+        
+        Args:
+            code: 文件夹名（对应id列）
+            
+        Returns:
+            StandardBaseInfo字典或None（未找到时）
+        """
+        try:
+            # 将DataFrame的id列转换为字符串，然后查找匹配项
+            code_str = str(code).strip()
+            df_with_str_id = self.df.copy()
+            df_with_str_id.index = df_with_str_id.index.astype(str).str.strip()
+            row = df_with_str_id.loc[code_str]
+        except KeyError:
+            return None
+
+        # 转字典处理缺失值
+        if hasattr(row, "to_dict"):
+            row_dict = row.to_dict()
+        else:
+            row_dict = row.to_frame().T.iloc[0].to_dict()
+
+        # 映射列到StandardBaseInfo字段
+        result = {
+            "id": str(uuid.uuid4()),  # 生成新的UUID作为主键
+            "created_time": datetime.now(),
+        }
+
+        for excel_col, model_field in self.COLUMN_MAPPING.items():
+            if excel_col in row_dict:
+                value = row_dict[excel_col]
+                
+                # 处理日期字段
+                if model_field in ("release_date", "implementation_date"):
+                    value = self._parse_date(value)
+                # 处理空值
+                elif pd.isna(value):
+                    value = None
+                # 处理字符串并去除空白
+                elif isinstance(value, str):
+                    value = value.strip() if value else None
+                
+                result[model_field] = value
+
+        return result
+
+    def process_folder_structure(
+        self,
+        root_folder: str | Path
+    ) -> dict[str, list[str]]:
+        """
+        遍历根文件夹，根据文件夹名（编号）生成JSON文件。
+        
+        Args:
+            root_folder: 根文件夹路径
+            
+        Returns:
+            处理结果统计字典
+        """
+        root_folder = Path(root_folder)
+        if not root_folder.is_dir():
+            raise NotADirectoryError(f"不是有效的文件夹: {root_folder}")
+
+        results = {"success": [], "failed": [], "skipped": []}
+
+        # 遍历根文件夹下的所有子文件夹
+        for subfolder in sorted(root_folder.iterdir()):
+            if not subfolder.is_dir():
+                continue
+
+            folder_name = subfolder.name
+            
+            # 尝试将文件夹名（id）作为编号查询
+            standard_info = self.get_standard_info_by_code(folder_name)
+
+            if standard_info is None:
+                print(f"📄 {folder_name} ❌ (id未在Excel中找到)")
+                results["skipped"].append(folder_name)
+                continue
+
+            try:
+                # 查找md文件
+                md_files = list(subfolder.glob("*.md"))
+                
+                if not md_files:
+                    print(f"📄 {folder_name} ❌ (文件夹中无.md文件)")
+                    results["skipped"].append(folder_name)
+                    continue
+                
+                # 使用找到的md文件名（替换扩展名为.json）
+                output_path = md_files[0].with_suffix(".json")
+                
+                # 将datetime对象转换为字符串
+                info_to_save = {
+                    k: v.isoformat() if isinstance(v, datetime) else v
+                    for k, v in standard_info.items()
+                }
+                
+                with open(output_path, "w", encoding="utf-8") as f:
+                    json.dump(info_to_save, f, ensure_ascii=False, indent=2)
+
+                print(f"📄 {folder_name} ✅")
+                results["success"].append(folder_name)
+            except Exception as e:
+                print(f"📄 {folder_name} ❌ ({str(e)})")
+                results["failed"].append(f"{folder_name} ({str(e)})")
+
+        return results
+
+
+def main():
+    """主函数：处理文件夹结构并生成JSON。"""
+    try:
+        generator = StandardInfoGenerator(EXCEL_FILE, sheet_index=SHEET_INDEX)
+        results = generator.process_folder_structure(ROOT_FOLDER)
+        
+        # 打印统计结果
+        print("\n" + "=" * 60)
+        print(f"✅ 成功: {len(results['success'])} | ❌ 失败: {len(results['failed'])} | ⊘ 跳过: {len(results['skipped'])}")
+        print("=" * 60)
+    except Exception as e:
+        print(f"❌ 错误: {str(e)}")
+
+
+if __name__ == "__main__":
+    main()

uv.lock

@@ -0,0 +1,601 @@
+version = 1
+revision = 3
+requires-python = ">=3.12"
+resolution-markers = [
+    "python_full_version >= '3.14' and sys_platform == 'win32'",
+    "python_full_version >= '3.14' and sys_platform == 'emscripten'",
+    "python_full_version >= '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'",
+    "python_full_version < '3.14' and sys_platform == 'win32'",
+    "python_full_version < '3.14' and sys_platform == 'emscripten'",
+    "python_full_version < '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'",
+]
+
+[[package]]
+name = "argon2-cffi"
+version = "25.1.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "argon2-cffi-bindings" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/0e/89/ce5af8a7d472a67cc819d5d998aa8c82c5d860608c4db9f46f1162d7dab9/argon2_cffi-25.1.0.tar.gz", hash = "sha256:694ae5cc8a42f4c4e2bf2ca0e64e51e23a040c6a517a85074683d3959e1346c1", size = 45706, upload-time = "2025-06-03T06:55:32.073Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/4f/d3/a8b22fa575b297cd6e3e3b0155c7e25db170edf1c74783d6a31a2490b8d9/argon2_cffi-25.1.0-py3-none-any.whl", hash = "sha256:fdc8b074db390fccb6eb4a3604ae7231f219aa669a2652e0f20e16ba513d5741", size = 14657, upload-time = "2025-06-03T06:55:30.804Z" },
+]
+
+[[package]]
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