feat(lzwcai_mcpskills_analyzeOrder): 添加MCP技能分析订单模块

- 创建基于MCP协议的SQL查询执行服务器
- 实现从businessQueries.json动态生成查询工具功能
- 支持中文工具名称自动转换为拼音
- 配置详细操作日志记录（仅输出到文件，不干扰MCP通信）
- 添加订单延迟预警分析、工单进度跟踪、供应链风险预警等6个业务查询模板
- 提供完整的安装、使用和开发文档

lzwcai_mcpskills_analyzeOrder/README.md

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+# lzwcai-mcpskills-analyzeOrder
+
+一个基于 MCP (Model Context Protocol) 的 SQL 查询执行服务器，支持从 JSON 配置文件动态生成查询工具。
+
+## 功能特性
+
+- 🚀 动态工具生成：从 `businessQueries.json` 自动生成 MCP 工具
+- 🔧 灵活配置：支持自定义业务查询和参数验证
+- 📝 完整日志：详细的操作日志记录
+- 🌐 中文支持：工具名称自动转换为拼音
+
+## 安装
+
+### 使用 pip 安装
+
+```bash
+pip install lzwcai-mcpskills-analyzeOrder
+```
+
+### 从源码安装
+
+```bash
+git clone <repository-url>
+cd lzwcai_mcp_sqlexecutor
+pip install -e .
+```
+
+### 使用 uv 安装（推荐）
+
+```bash
+uv pip install lzwcai-mcpskills-analyzeOrder
+```
+
+## 使用方法
+
+### 命令行启动
+
+安装后，可以直接通过命令启动：
+
+```bash
+lzwcai-mcpskills-analyzeOrder
+```
+
+### 作为 Python 模块运行
+
+```bash
+python -m lzwcai_mcp_sqlexecutor.main
+```
+
+### 配置到 MCP 客户端
+
+在你的 MCP 客户端配置文件中添加：
+
+```json
+{
+  "mcpServers": {
+    "lzwcai-sqlexecutor": {
+      "command": "lzwcai-mcpskills-analyzeOrder"
+    }
+  }
+}
+```
+
+## 配置说明
+
+### businessQueries.json
+
+在 `businessQueries.json` 中定义你的业务查询：
+
+```json
+[
+  {
+    "id": "query-001",
+    "businessName": "用户订单查询",
+    "businessDescription": "根据用户ID查询订单信息",
+    "sqlTemplate": "SELECT * FROM orders WHERE user_id = {{userId}}",
+    "parameters": {
+      "type": "object",
+      "required": ["userId"],
+      "properties": {
+        "userId": {
+          "type": "integer",
+          "description": "用户的唯一标识符",
+          "examples": [10086]
+        }
+      }
+    }
+  }
+]
+```
+
+## 开发
+
+### 依赖项
+
+- Python >= 3.13
+- httpx >= 0.28.1
+- mcp[cli] >= 1.10.1
+- pypinyin >= 0.53.0
+
+### 本地开发
+
+```bash
+# 克隆仓库
+git clone <repository-url>
+cd lzwcai_mcp_sqlexecutor
+
+# 安装开发依赖
+pip install -e .
+
+# 运行服务器
+python -m lzwcai_mcp_sqlexecutor.main
+```
+
+## 构建与发布
+
+### 使用 build 构建
+
+```bash
+pip install build
+python -m build
+```
+
+### 发布到 PyPI
+
+```bash
+pip install twine
+twine upload dist/*
+```
+
+## 许可证
+
+MIT License
+
+## 作者
+
+lzwcai
+

lzwcai_mcpskills_analyzeOrder/lzwcai_mcpskills_analyzeOrder/.gitignore

@@ -0,0 +1,10 @@
+# Python-generated files
+__pycache__/
+*.py[oc]
+build/
+dist/
+wheels/
+*.egg-info
+
+# Virtual environments
+.venv

lzwcai_mcpskills_analyzeOrder/lzwcai_mcpskills_analyzeOrder/.python-version

@@ -0,0 +1 @@
+3.13

lzwcai_mcpskills_analyzeOrder/lzwcai_mcpskills_analyzeOrder/README.md

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+# lzwcai-mcpskills-analyzeWorkOrder
+
+一个基于 MCP (Model Context Protocol) 的 SQL 查询执行服务器，支持从 JSON 配置文件动态生成查询工具。
+
+## 功能特性
+
+- 🚀 动态工具生成：从 `businessQueries.json` 自动生成 MCP 工具
+- 🔧 灵活配置：支持自定义业务查询和参数验证
+- 📝 完整日志：详细的操作日志记录（仅输出到文件，不干扰MCP通信）
+- 🌐 中文支持：工具名称自动转换为拼音
+
+## 安装
+
+### 使用 pip 安装
+
+```bash
+pip install lzwcai-mcpskills-analyzeWorkOrder
+```
+
+### 从源码安装
+
+```bash
+git clone <repository-url>
+cd lzwcai_mcp_sqlexecutor
+pip install -e .
+```
+
+### 使用 uv 安装（推荐）
+
+```bash
+uv pip install lzwcai-mcpskills-analyzeWorkOrder
+```
+
+## 使用方法
+
+### 命令行启动
+
+安装后，可以直接通过命令启动：
+
+```bash
+lzwcai-mcpskills-analyzeWorkOrder
+```
+
+### 作为 Python 模块运行
+
+```bash
+python -m lzwcai_mcp_sqlexecutor.main
+```
+
+### 配置到 MCP 客户端
+
+在你的 MCP 客户端配置文件中添加：
+
+```json
+{
+  "mcpServers": {
+    "lzwcai-sqlexecutor": {
+      "command": "lzwcai-mcpskills-analyzeWorkOrder"
+    }
+  }
+}
+```
+
+## 配置说明
+
+### businessQueries.json
+
+在 `businessQueries.json` 中定义你的业务查询：
+
+```json
+[
+  {
+    "id": "query-001",
+    "businessName": "用户订单查询",
+    "businessDescription": "根据用户ID查询订单信息",
+    "sqlTemplate": "SELECT * FROM orders WHERE user_id = {{userId}}",
+    "parameters": {
+      "type": "object",
+      "required": ["userId"],
+      "properties": {
+        "userId": {
+          "type": "integer",
+          "description": "用户的唯一标识符",
+          "examples": [10086]
+        }
+      }
+    }
+  }
+]
+```
+
+## 开发
+
+### 依赖项
+
+- Python >= 3.13
+- httpx >= 0.28.1
+- mcp[cli] >= 1.10.1
+- pypinyin >= 0.53.0
+
+### 本地开发
+
+```bash
+# 克隆仓库
+git clone <repository-url>
+cd lzwcai_mcp_sqlexecutor
+
+# 安装开发依赖
+pip install -e .
+
+# 运行服务器
+python -m lzwcai_mcp_sqlexecutor.main
+```
+
+## 构建与发布
+
+### 使用 build 构建
+
+```bash
+pip install build
+python -m build
+```
+
+### 发布到 PyPI
+
+```bash
+pip install twine
+twine upload dist/*
+```
+
+## 常见问题
+
+### MCP Inspector 显示 JSON 解析错误
+
+如果在使用 MCP Inspector 测试时遇到 `SyntaxError: Unexpected non-whitespace character after JSON` 错误，这是因为：
+
+1. **原因**：MCP 协议使用 stdio（标准输入输出）进行 JSON-RPC 通信，任何输出到 stdout 的内容（如 print 语句或控制台日志）都会破坏 JSON 格式。
+
+2. **解决方案**：本服务器已将所有日志输出配置为仅写入文件（位于 `logs/` 目录），不输出到控制台。日志文件包括：
+   - `lzwcai_mcp_sqlexecutor.log` - 主日志文件
+   - `lzwcai_mcp_sqlexecutor_error.log` - 错误日志
+   - `lzwcai_mcp_sqlexecutor_daily.log` - 按日期滚动的日志
+   - `mcp_services.log` - MCP 服务专用日志
+
+3. **查看日志**：如果需要调试，请查看 `logs/` 目录下的日志文件。
+
+## 许可证
+
+MIT License
+
+## 作者
+
+lzwcai
+

lzwcai_mcpskills_analyzeOrder/lzwcai_mcpskills_analyzeOrder/__init__.py

@@ -0,0 +1,9 @@
+"""
+lzwcai-mcpskills-analyzeOrder - MCP server for executing business SQL queries
+"""
+
+__version__ = "0.1.2"
+__author__ = "lzwcai"
+
+__all__ = []
+

lzwcai_mcpskills_analyzeOrder/lzwcai_mcpskills_analyzeOrder/logs/mcp_services.log

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+2026-01-08 00:15:16 - mcp_services - INFO - [main.py:362] - 开始运行 MCP SQL Executor 服务器
+2026-01-08 00:15:16 - mcp_services - INFO - [main.py:313] - ============================================================
+2026-01-08 00:15:16 - mcp_services - INFO - [main.py:314] - 正在启动 MCP 服务器: lzwcai-mcpskills-analyzeOrder
+2026-01-08 00:15:16 - mcp_services - INFO - [main.py:315] - 版本: 0.1.0
+2026-01-08 00:15:16 - mcp_services - INFO - [main.py:316] - ============================================================
+2026-01-08 00:15:16 - mcp_services - INFO - [main.py:320] - 环境配置 - Database ID: 19
+2026-01-08 00:15:16 - mcp_services - INFO - [main.py:321] - 环境配置 - Datasource ID: 19
+2026-01-08 00:15:16 - mcp_services - INFO - [main.py:322] - 环境配置 - Skill ID: 
+2026-01-08 00:15:16 - mcp_services - INFO - [main.py:323] - 环境配置 - Backend Base URL: http://192.168.11.24:8088
+2026-01-08 00:15:16 - mcp_services - INFO - [main.py:324] - ============================================================
+2026-01-08 00:15:16 - mcp_services - INFO - [main.py:329] - MCP 服务器已启动，等待客户端连接...
+2026-01-08 00:15:17 - mcp_services - INFO - [main.py:156] - 收到列出工具请求
+2026-01-08 00:15:17 - mcp_services - INFO - [main.py:119] - 初始化查询配置（数据源: local）...
+2026-01-08 00:15:17 - mcp_services - INFO - [main.py:55] - 成功加载 6 个业务查询配置
+2026-01-08 00:15:17 - mcp_services - INFO - [main.py:123] - 本地配置: 6 条
+2026-01-08 00:15:17 - mcp_services - INFO - [main.py:165] - 成功生成 6 个 MCP 工具
+2026-01-08 00:15:19 - mcp_services - INFO - [main.py:190] - 收到工具调用请求: OrderDelayWarningAnalysis
+2026-01-08 00:15:19 - mcp_services - INFO - [main.py:225] - 正在调用测试SQL API...
+2026-01-08 00:15:19 - mcp_services - INFO - [main.py:227] - 测试SQL API调用成功
+2026-01-08 00:15:27 - mcp_services - INFO - [main.py:190] - 收到工具调用请求: WorkOrderProgressAndAnomalyNodes
+2026-01-08 00:15:27 - mcp_services - INFO - [main.py:225] - 正在调用测试SQL API...
+2026-01-08 00:15:28 - mcp_services - INFO - [main.py:227] - 测试SQL API调用成功
+2026-01-08 00:15:37 - mcp_services - INFO - [main.py:190] - 收到工具调用请求: OnePageDecisionBrief
+2026-01-08 00:15:37 - mcp_services - INFO - [main.py:225] - 正在调用测试SQL API...
+2026-01-08 00:15:38 - mcp_services - INFO - [main.py:227] - 测试SQL API调用成功
+2026-01-08 00:15:58 - mcp_services - INFO - [main.py:190] - 收到工具调用请求: EfficiencyOutputLossDashboard
+2026-01-08 00:15:58 - mcp_services - INFO - [main.py:225] - 正在调用测试SQL API...
+2026-01-08 00:15:59 - mcp_services - INFO - [main.py:227] - 测试SQL API调用成功
+2026-01-08 00:16:07 - mcp_services - INFO - [main.py:190] - 收到工具调用请求: SupplyChainRiskWarning
+2026-01-08 00:16:07 - mcp_services - INFO - [main.py:225] - 正在调用测试SQL API...
+2026-01-08 00:16:07 - mcp_services - INFO - [main.py:227] - 测试SQL API调用成功
+2026-01-08 00:16:13 - mcp_services - INFO - [main.py:190] - 收到工具调用请求: WorkOrderProgressAndAnomalyNodes
+2026-01-08 00:16:13 - mcp_services - INFO - [main.py:225] - 正在调用测试SQL API...
+2026-01-08 00:16:13 - mcp_services - INFO - [main.py:227] - 测试SQL API调用成功
+2026-01-08 00:30:22 - mcp_services - INFO - [main.py:362] - 开始运行 MCP SQL Executor 服务器
+2026-01-08 00:30:22 - mcp_services - INFO - [main.py:313] - ============================================================
+2026-01-08 00:30:22 - mcp_services - INFO - [main.py:314] - 正在启动 MCP 服务器: lzwcai-mcpskills-analyzeOrder
+2026-01-08 00:30:22 - mcp_services - INFO - [main.py:315] - 版本: 0.1.0
+2026-01-08 00:30:22 - mcp_services - INFO - [main.py:316] - ============================================================
+2026-01-08 00:30:22 - mcp_services - INFO - [main.py:320] - 环境配置 - Database ID: 19
+2026-01-08 00:30:22 - mcp_services - INFO - [main.py:321] - 环境配置 - Datasource ID: 19
+2026-01-08 00:30:22 - mcp_services - INFO - [main.py:322] - 环境配置 - Skill ID: 
+2026-01-08 00:30:22 - mcp_services - INFO - [main.py:323] - 环境配置 - Backend Base URL: http://192.168.11.24:8088
+2026-01-08 00:30:22 - mcp_services - INFO - [main.py:324] - ============================================================
+2026-01-08 00:30:22 - mcp_services - INFO - [main.py:329] - MCP 服务器已启动，等待客户端连接...
+2026-01-08 00:30:26 - mcp_services - INFO - [main.py:156] - 收到列出工具请求
+2026-01-08 00:30:26 - mcp_services - INFO - [main.py:119] - 初始化查询配置（数据源: local）...
+2026-01-08 00:30:26 - mcp_services - INFO - [main.py:55] - 成功加载 6 个业务查询配置
+2026-01-08 00:30:26 - mcp_services - INFO - [main.py:123] - 本地配置: 6 条
+2026-01-08 00:30:26 - mcp_services - INFO - [main.py:165] - 成功生成 6 个 MCP 工具
+2026-01-08 00:30:27 - mcp_services - INFO - [main.py:190] - 收到工具调用请求: OrderDelayWarningAnalysis
+2026-01-08 00:30:27 - mcp_services - INFO - [main.py:225] - 正在调用测试SQL API...
+2026-01-08 00:30:27 - mcp_services - INFO - [main.py:227] - 测试SQL API调用成功
+2026-01-08 00:30:32 - mcp_services - INFO - [main.py:190] - 收到工具调用请求: WorkOrderProgressAndAnomalyNodes
+2026-01-08 00:30:32 - mcp_services - INFO - [main.py:225] - 正在调用测试SQL API...
+2026-01-08 00:30:32 - mcp_services - INFO - [main.py:227] - 测试SQL API调用成功
+2026-01-08 00:30:34 - mcp_services - INFO - [main.py:190] - 收到工具调用请求: SupplyChainRiskWarning
+2026-01-08 00:30:34 - mcp_services - INFO - [main.py:225] - 正在调用测试SQL API...
+2026-01-08 00:30:34 - mcp_services - INFO - [main.py:227] - 测试SQL API调用成功
+2026-01-08 00:30:35 - mcp_services - INFO - [main.py:190] - 收到工具调用请求: EfficiencyOutputLossDashboard
+2026-01-08 00:30:35 - mcp_services - INFO - [main.py:225] - 正在调用测试SQL API...
+2026-01-08 00:30:35 - mcp_services - INFO - [main.py:227] - 测试SQL API调用成功
+2026-01-08 00:30:37 - mcp_services - INFO - [main.py:190] - 收到工具调用请求: OnePageDecisionBrief
+2026-01-08 00:30:37 - mcp_services - INFO - [main.py:225] - 正在调用测试SQL API...
+2026-01-08 00:30:38 - mcp_services - INFO - [main.py:227] - 测试SQL API调用成功
+2026-01-08 00:30:39 - mcp_services - INFO - [main.py:190] - 收到工具调用请求: MetricTrendAndTurningPointWarning
+2026-01-08 00:30:39 - mcp_services - INFO - [main.py:225] - 正在调用测试SQL API...
+2026-01-08 00:30:39 - mcp_services - INFO - [main.py:227] - 测试SQL API调用成功
+2026-01-08 00:30:44 - mcp_services - INFO - [main.py:190] - 收到工具调用请求: MetricTrendAndTurningPointWarning
+2026-01-08 00:30:44 - mcp_services - INFO - [main.py:225] - 正在调用测试SQL API...
+2026-01-08 00:30:44 - mcp_services - INFO - [main.py:227] - 测试SQL API调用成功

lzwcai_mcpskills_analyzeOrder/lzwcai_mcpskills_analyzeOrder/main.py

@@ -0,0 +1,373 @@
+from pathlib import Path
+from typing import Any
+import asyncio
+import logging
+
+# 支持直接运行和模块导入两种方式
+try:
+    from .utils import load_json, generate_tool_name, generate_input_schema
+    from .utils import get_skill_by_id, DataSourceAPIClient, process_skill_response, test_sql_with_schema
+    from .utils import get_database_id, get_datasource_id, get_skill_id, get_env_config
+    from .utils.logger_config import logger_config
+except ImportError:
+    from utils import load_json, generate_tool_name, generate_input_schema
+    from utils import get_skill_by_id, DataSourceAPIClient, process_skill_response, test_sql_with_schema
+    from utils import get_database_id, get_datasource_id, get_skill_id, get_env_config
+    from utils.logger_config import logger_config
+
+from mcp.server.models import InitializationOptions
+from mcp.server import NotificationOptions, Server
+import mcp.types as types
+
+# 初始化 MCP 专用日志器
+mcp_logger = logger_config.setup_mcp_logging()
+
+# ========== 数据源配置 ==========
+# 数据源类型常量
+DATA_SOURCE_API = "api"      # 仅使用API数据
+DATA_SOURCE_LOCAL = "local"  # 仅使用本地JSON数据
+DATA_SOURCE_BOTH = "both"    # 合并本地和API数据
+
+# 默认数据源（可修改）
+DEFAULT_DATA_SOURCE = DATA_SOURCE_LOCAL
+# ================================
+
+
+def get_queries():
+    """
+    获取业务查询配置
+    
+    Returns:
+        list: 包含所有业务查询配置的列表
+    """
+    try:
+        # 获取当前文件所在目录
+        current_dir = Path(__file__).parent
+        
+        # 构建 businessQueries.json 的路径
+        json_path = current_dir / "businessQueries.json"
+        
+        mcp_logger.debug(f"正在读取业务查询配置文件: {json_path}")
+        
+        # 使用 load_json 方法读取 JSON 文件
+        queries = load_json(json_path)
+        
+        mcp_logger.info(f"成功加载 {len(queries)} 个业务查询配置")
+        
+        return queries
+    except Exception as e:
+        mcp_logger.error(f"加载业务查询配置失败: {e}", exc_info=True)
+        raise
+
+
+def generate_tool_schema_from_query(query: dict) -> types.Tool:
+    """
+    根据查询配置生成 MCP 工具模式
+    
+    Args:
+        query: 单个查询配置字典
+        
+    Returns:
+        types.Tool: MCP 工具对象
+    """
+    try:
+        # 获取参数定义并生成 inputSchema
+        parameters = query.get('parameters', {})
+        input_schema = generate_input_schema(parameters)
+        
+        # 生成工具名称（格式: tool_拼音_id）
+        # tool_name = generate_tool_name(query['businessName'], query['id'])
+        tool_name = query['businessName']
+        # 构建工具描述，包含业务名称和业务描述
+        description = f"{query['businessName']}: {query['businessDescription']}"
+        
+        mcp_logger.debug(f"生成工具模式: {tool_name} - {query['businessName']}")
+        
+        return types.Tool(
+            name=tool_name,
+            description=description,
+            inputSchema=input_schema
+        )
+    except Exception as e:
+        mcp_logger.error(f"生成工具模式失败: {query.get('id', 'unknown')}, 错误: {e}", exc_info=True)
+        raise
+
+
+# 创建 MCP 服务器实例
+server = Server("lzwcai-mcpskills-analyzeOrder")
+
+# 缓存查询配置，避免重复加载
+_queries_cache = None
+
+
+async def get_queries_cache(source: str = None):
+    """
+    获取或初始化查询配置缓存
+    
+    Args:
+        source: 数据源类型（默认使用 DEFAULT_DATA_SOURCE）
+            - "api": 仅使用API数据
+            - "local": 仅使用本地JSON数据
+            - "both": 合并本地和API数据
+    
+    Returns:
+        查询配置列表
+    """
+    global _queries_cache
+    if _queries_cache is None:
+        source = source or DEFAULT_DATA_SOURCE
+        mcp_logger.info(f"初始化查询配置（数据源: {source}）...")
+        
+        if source == DATA_SOURCE_LOCAL:
+            _queries_cache = get_queries()
+            mcp_logger.info(f"本地配置: {len(_queries_cache)} 条")
+            
+        elif source == DATA_SOURCE_API:
+            try:
+                _queries_cache = await call_third_party_api()
+                mcp_logger.info(f"API配置: {len(_queries_cache)} 条")
+                mcp_logger.info(f"API配置数组: {_queries_cache}")
+            except Exception as e:
+                mcp_logger.warning(f"API获取失败，降级使用本地配置: {e}")
+                _queries_cache = get_queries()
+                
+        else:  # DATA_SOURCE_BOTH
+            local = get_queries()
+            try:
+                api = await call_third_party_api()
+            except Exception as e:
+                mcp_logger.warning(f"API获取失败: {e}")
+                api = []
+            _queries_cache = local + api
+            mcp_logger.info(f"配置总数: {len(_queries_cache)} 条（本地{len(local)}+API{len(api)}）")
+        
+    return _queries_cache
+
+
+@server.list_tools()
+async def handle_list_tools() -> list[types.Tool]:
+    """
+    列出所有动态生成的 MCP 工具
+    
+    Returns:
+        list[types.Tool]: 所有可用的工具列表
+    """
+    try:
+        mcp_logger.info("收到列出工具请求")
+        
+        queries = await get_queries_cache()
+        tools = []
+        
+        for query in queries:
+            tool = generate_tool_schema_from_query(query)
+            tools.append(tool)
+        
+        mcp_logger.info(f"成功生成 {len(tools)} 个 MCP 工具")
+        mcp_logger.debug(f"工具列表: {[tool.name for tool in tools]}")
+        
+        return tools
+    except Exception as e:
+        mcp_logger.error(f"列出工具失败: {e}", exc_info=True)
+        raise
+
+
+@server.call_tool()
+async def handle_call_tool(
+    name: str, 
+    arguments: dict[str, Any] | None
+) -> list[types.TextContent]:
+    """
+    处理工具调用请求
+    
+    Args:
+        name: 工具名称
+        arguments: 工具参数
+        
+    Returns:
+        list[types.TextContent]: 工具执行结果（返回参数和对应的接口配置）
+    """
+    try:
+        mcp_logger.info(f"收到工具调用请求: {name}")
+        mcp_logger.debug(f"工具参数: {arguments}")
+        
+        # 获取查询配置缓存
+        queries = await get_queries_cache()
+        
+        # 根据工具名称查找对应的 item（接口配置）
+        tool_item = None
+        for query in queries:
+            # tool_name = generate_tool_name(query['businessName'], query['id'])
+            tool_name = query['businessName']
+            if tool_name == name:
+                tool_item = query
+                break
+        
+        # 构建返回结果
+        import json
+        
+        if tool_item:
+            request_data = {
+                "datasourceId": get_datasource_id(),
+                "businessName": tool_item.get("businessName"),
+                "businessDescription": tool_item.get("businessDescription"),
+                "sqlTemplate": tool_item.get("sqlTemplate"),
+                "parameters": tool_item.get("parameters"),
+                "testParams": arguments or {}
+            }
+            
+            # 如果 arguments 中有 targetDatabaseName 且有值，添加到 request_data
+            if arguments and arguments.get("targetDatabaseName"):
+                request_data["targetDatabaseName"] = arguments["targetDatabaseName"]
+                mcp_logger.debug(f"添加目标数据库名称: {arguments['targetDatabaseName']}")
+            
+            # 调用测试SQL API
+            try:
+                mcp_logger.info("正在调用测试SQL API...")
+                api_response = test_sql_with_schema(request_data)
+                mcp_logger.info("测试SQL API调用成功")
+                
+                # 返回包含 data 字段的结果
+                result = {
+                    "success": True,
+                    "data": api_response
+                }
+                result_text = json.dumps(result, ensure_ascii=False, indent=2)
+                
+            except Exception as e:
+                error_msg = f"调用测试SQL API失败: {str(e)}"
+                mcp_logger.error(error_msg, exc_info=True)
+                result = {
+                    "success": False,
+                    "error": error_msg,
+                    "data": None
+                }
+                result_text = json.dumps(result, ensure_ascii=False, indent=2)
+        else:
+            error_msg = f"未找到工具 {name} 对应的配置"
+            result = {
+                "success": False,
+                "error": error_msg,
+                "data": None
+            }
+            result_text = json.dumps(result, ensure_ascii=False, indent=2)
+        
+        mcp_logger.debug(f"工具调用结果: {result_text}")
+        
+        return [
+            types.TextContent(
+                type="text",
+                text=result_text
+            )
+        ]
+    except Exception as e:
+        error_msg = f"工具调用失败: {name}, 错误: {e}"
+        mcp_logger.error(error_msg, exc_info=True)
+        return [
+            types.TextContent(
+                type="text",
+                text=f"错误: {error_msg}"
+            )
+        ]
+
+
+async def call_third_party_api(skill_id: str = None) -> list:
+    """
+    调用第三方API获取技能信息并返回处理后的数据
+    
+    Args:
+        skill_id: 技能ID（默认从环境变量 SKILL_ID 读取，如果未设置则使用 1981000305474482178）
+        
+    Returns:
+        处理后的查询配置列表（businessQueries格式）
+        
+    Example:
+        queries = await call_third_party_api()
+        # 返回: [{"id": "...", "businessName": "...", ...}, ...]
+    """
+    try:
+        # 如果没有传入 skill_id，则从环境变量读取
+        if skill_id is None:
+            skill_id = get_skill_id()
+        
+        mcp_logger.info(f"调用第三方API，skill_id: {skill_id}")
+        
+        # 获取原始数据
+        raw_result = get_skill_by_id(skill_id)
+
+        mcp_logger.info(f"成功{raw_result}")
+        
+        # 处理并返回
+        processed_queries = process_skill_response(raw_result)
+        
+        mcp_logger.info(f"成功获取并处理 {len(processed_queries)} 条数据")
+        return processed_queries
+        
+    except Exception as e:
+        mcp_logger.error(f"API调用失败: {e}", exc_info=True)
+        raise
+
+
+async def async_main():
+    """MCP 服务器异步主函数"""
+    try:
+        mcp_logger.info("=" * 60)
+        mcp_logger.info("正在启动 MCP 服务器: lzwcai-mcpskills-analyzeOrder")
+        mcp_logger.info("版本: 0.1.0")
+        mcp_logger.info("=" * 60)
+        
+        # 输出环境配置信息
+        env_config = get_env_config()
+        mcp_logger.info(f"环境配置 - Database ID: {env_config['database_id']}")
+        mcp_logger.info(f"环境配置 - Datasource ID: {env_config['datasource_id']}")
+        mcp_logger.info(f"环境配置 - Skill ID: {env_config['skill_id']}")
+        mcp_logger.info(f"环境配置 - Backend Base URL: {env_config['backend_base_url']}")
+        mcp_logger.info("=" * 60)
+        
+        from mcp.server.stdio import stdio_server
+        
+        async with stdio_server() as (read_stream, write_stream):
+            mcp_logger.info("MCP 服务器已启动，等待客户端连接...")
+            
+            await server.run(
+                read_stream,
+                write_stream,
+                InitializationOptions(
+                    server_name="lzwcai-mcpskills-analyzeOrder",
+                    server_version="0.1.0",
+                    capabilities=server.get_capabilities(
+                        notification_options=NotificationOptions(),
+                        experimental_capabilities={},
+                    ),
+                ),
+            )
+            
+        mcp_logger.info("MCP 服务器已关闭")
+        
+    except Exception as e:
+        mcp_logger.error(f"MCP 服务器运行失败: {e}", exc_info=True)
+        raise
+
+
+def main():
+    """入口点函数（用于 console_scripts）"""
+    try:
+        # 初始化系统日志
+        # MCP协议使用stdio通信，必须禁用控制台输出以避免干扰JSON-RPC通信
+        logger_config.setup_logging(
+            app_name="lzwcai_mcp_sqlexecutor",
+            log_level=logging.INFO,
+            console_output=False  # 禁用控制台输出
+        )
+        
+        mcp_logger.info("开始运行 MCP SQL Executor 服务器")
+        asyncio.run(async_main())
+        
+    except KeyboardInterrupt:
+        mcp_logger.info("收到中断信号，正在关闭服务器...")
+    except Exception as e:
+        mcp_logger.error(f"程序运行失败: {e}", exc_info=True)
+        raise
+
+
+if __name__ == "__main__":
+    main()

lzwcai_mcpskills_analyzeOrder/lzwcai_mcpskills_analyzeOrder/pyproject.toml

@@ -0,0 +1,35 @@
+[build-system]
+requires = ["hatchling"]
+build-backend = "hatchling.build"
+
+[project]
+name = "lzwcai-mcpskills-analyzeWorkOrder"
+version = "0.1.10"
+description = "MCP server for executing business SQL queries with dynamic tool generation"
+readme = "README.md"
+requires-python = ">=3.13"
+license = {text = "MIT"}
+authors = [
+    {name = "lzwcai", email = "your-email@example.com"},
+]
+keywords = ["mcp", "sql", "executor", "server"]
+classifiers = [
+    "Development Status :: 3 - Alpha",
+    "Intended Audience :: Developers",
+    "Programming Language :: Python :: 3",
+    "Programming Language :: Python :: 3.13",
+]
+dependencies = [
+    "httpx>=0.28.1",
+    "mcp[cli]>=1.10.1",
+    "pypinyin>=0.53.0",
+]
+
+[project.scripts]
+lzwcai-mcpskills-analyzeWorkOrder = "lzwcai_mcpskills_analyzeWorkOrder.main:main"
+
+[tool.hatch.build.targets.wheel]
+packages = ["lzwcai_mcpskills_analyzeWorkOrder"]
+
+[tool.hatch.build.targets.wheel.force-include]
+"lzwcai_mcpskills_analyzeWorkOrder/businessQueries.json" = "lzwcai_mcpskills_analyzeWorkOrder/businessQueries.json"

lzwcai_mcpskills_analyzeOrder/lzwcai_mcpskills_analyzeOrder/sql11

@@ -0,0 +1,169 @@
+-- =====================================================
+-- 交付风险预测：延迟概率与红/黄/绿预警等级
+-- 基于历史订单的生产周期、物流延误、设备故障等特征
+-- =====================================================
+
+WITH 
+-- 1. 全局生产特征（汇总所有工单）
+global_production AS (
+    SELECT 
+        COUNT(*) AS total_wo_count,
+        AVG(CASE WHEN planned_qty > 0 THEN completed_qty / planned_qty ELSE 0 END) AS avg_completion_rate,
+        SUM(CASE WHEN status IN ('OPEN', 'STARTED') THEN 1 ELSE 0 END) AS pending_wo_count,
+        SUM(CASE WHEN status = 'CLOSED' THEN 1 ELSE 0 END) AS closed_wo_count
+    FROM fact_work_order
+),
+
+-- 2. 全局质检特征
+global_quality AS (
+    SELECT 
+        COUNT(*) AS total_inspection_count,
+        SUM(COALESCE(pass_qty, 0)) AS total_pass_qty,
+        SUM(COALESCE(fail_qty, 0)) AS total_fail_qty,
+        CASE WHEN SUM(COALESCE(pass_qty, 0) + COALESCE(fail_qty, 0)) > 0 
+             THEN SUM(COALESCE(pass_qty, 0))::FLOAT / SUM(COALESCE(pass_qty, 0) + COALESCE(fail_qty, 0))
+             ELSE 1 END AS qc_pass_rate
+    FROM fact_quality_inspection
+),
+
+-- 3. 全局工序不良特征
+global_operation AS (
+    SELECT 
+        COUNT(*) AS total_task_count,
+        SUM(COALESCE(good_qty, 0)) AS total_good_qty,
+        SUM(COALESCE(bad_qty, 0)) AS total_bad_qty,
+        CASE WHEN SUM(COALESCE(good_qty, 0) + COALESCE(bad_qty, 0)) > 0 
+             THEN SUM(COALESCE(bad_qty, 0))::FLOAT / SUM(COALESCE(good_qty, 0) + COALESCE(bad_qty, 0))
+             ELSE 0 END AS operation_defect_rate
+    FROM fact_operation_task
+),
+
+-- 4. 客户级别发货统计
+customer_shipment AS (
+    SELECT 
+        customer_id,
+        COUNT(*) AS shipment_count,
+        SUM(COALESCE(amount, 0)) AS total_shipment_amount
+    FROM fact_sales_shipment
+    GROUP BY customer_id
+),
+
+-- 5. 客户级别退货统计
+customer_return AS (
+    SELECT 
+        customer_id,
+        COUNT(*) AS return_count,
+        SUM(COALESCE(amount, 0)) AS total_return_amount
+    FROM fact_sales_return
+    GROUP BY customer_id
+),
+
+-- 6. 订单风险评估
+order_risk AS (
+    SELECT 
+        so.sales_order_id,
+        so.sales_order_number,
+        c.customer_name,
+        so.order_date_utc,
+        so.deal_amount,
+        so.payment_status,
+        
+        -- 全局生产指标
+        gp.avg_completion_rate AS production_completion_rate,
+        gp.pending_wo_count,
+        gp.total_wo_count AS work_order_count,
+        
+        -- 全局质检指标
+        gq.qc_pass_rate,
+        gq.total_fail_qty,
+        
+        -- 全局工序指标
+        go.operation_defect_rate,
+        
+        -- 客户级别指标
+        COALESCE(cs.shipment_count, 0) AS shipment_count,
+        COALESCE(cr.return_count, 0) AS return_count,
+        CASE WHEN COALESCE(cs.shipment_count, 0) > 0 
+             THEN COALESCE(cr.return_count, 0)::FLOAT / cs.shipment_count 
+             ELSE 0 END AS return_rate
+
+    FROM fact_sales_order so
+    LEFT JOIN dim_customer c ON so.customer_id = c.customer_id AND c.is_current = true
+    CROSS JOIN global_production gp
+    CROSS JOIN global_quality gq
+    CROSS JOIN global_operation go
+    LEFT JOIN customer_shipment cs ON so.customer_id = cs.customer_id
+    LEFT JOIN customer_return cr ON so.customer_id = cr.customer_id
+)
+
+-- 7. 最终输出
+SELECT 
+    sales_order_id,
+    sales_order_number,
+    customer_name,
+    order_date_utc,
+    deal_amount,
+    payment_status,
+    
+    -- 风险特征
+    work_order_count,
+    ROUND(production_completion_rate::NUMERIC, 2) AS production_completion_rate,
+    pending_wo_count,
+    ROUND(qc_pass_rate::NUMERIC, 2) AS qc_pass_rate,
+    ROUND(operation_defect_rate::NUMERIC, 4) AS operation_defect_rate,
+    return_count,
+    ROUND(return_rate::NUMERIC, 4) AS return_rate,
+    
+    -- 延迟概率
+    ROUND((
+        CASE WHEN production_completion_rate < 0.3 THEN 0.30
+             WHEN production_completion_rate < 0.5 THEN 0.20
+             WHEN production_completion_rate < 0.8 THEN 0.10
+             ELSE 0 END
+        + CASE WHEN qc_pass_rate < 0.8 THEN 0.25
+               WHEN qc_pass_rate < 0.9 THEN 0.15
+               WHEN qc_pass_rate < 0.95 THEN 0.08
+               ELSE 0 END
+        + CASE WHEN operation_defect_rate > 0.1 THEN 0.20
+               WHEN operation_defect_rate > 0.05 THEN 0.12
+               WHEN operation_defect_rate > 0.02 THEN 0.05
+               ELSE 0 END
+        + CASE WHEN return_rate > 0.1 THEN 0.15
+               WHEN return_rate > 0.05 THEN 0.08
+               WHEN return_rate > 0.02 THEN 0.03
+               ELSE 0 END
+        + CASE WHEN payment_status = 'UNPAID' THEN 0.10
+               WHEN payment_status = 'PARTIAL' THEN 0.05
+               ELSE 0 END
+    )::NUMERIC, 2) AS delay_probability,
+    
+    -- 红/黄/绿预警
+    CASE 
+        WHEN (
+            CASE WHEN production_completion_rate < 0.3 THEN 0.30 WHEN production_completion_rate < 0.5 THEN 0.20 WHEN production_completion_rate < 0.8 THEN 0.10 ELSE 0 END
+            + CASE WHEN qc_pass_rate < 0.8 THEN 0.25 WHEN qc_pass_rate < 0.9 THEN 0.15 WHEN qc_pass_rate < 0.95 THEN 0.08 ELSE 0 END
+            + CASE WHEN operation_defect_rate > 0.1 THEN 0.20 WHEN operation_defect_rate > 0.05 THEN 0.12 WHEN operation_defect_rate > 0.02 THEN 0.05 ELSE 0 END
+            + CASE WHEN return_rate > 0.1 THEN 0.15 WHEN return_rate > 0.05 THEN 0.08 WHEN return_rate > 0.02 THEN 0.03 ELSE 0 END
+            + CASE WHEN payment_status = 'UNPAID' THEN 0.10 WHEN payment_status = 'PARTIAL' THEN 0.05 ELSE 0 END
+        ) >= 0.50 THEN 'RED'
+        WHEN (
+            CASE WHEN production_completion_rate < 0.3 THEN 0.30 WHEN production_completion_rate < 0.5 THEN 0.20 WHEN production_completion_rate < 0.8 THEN 0.10 ELSE 0 END
+            + CASE WHEN qc_pass_rate < 0.8 THEN 0.25 WHEN qc_pass_rate < 0.9 THEN 0.15 WHEN qc_pass_rate < 0.95 THEN 0.08 ELSE 0 END
+            + CASE WHEN operation_defect_rate > 0.1 THEN 0.20 WHEN operation_defect_rate > 0.05 THEN 0.12 WHEN operation_defect_rate > 0.02 THEN 0.05 ELSE 0 END
+            + CASE WHEN return_rate > 0.1 THEN 0.15 WHEN return_rate > 0.05 THEN 0.08 WHEN return_rate > 0.02 THEN 0.03 ELSE 0 END
+            + CASE WHEN payment_status = 'UNPAID' THEN 0.10 WHEN payment_status = 'PARTIAL' THEN 0.05 ELSE 0 END
+        ) >= 0.25 THEN 'YELLOW'
+        ELSE 'GREEN'
+    END AS risk_level,
+    
+    -- 风险原因
+    CONCAT_WS(' | ',
+        CASE WHEN production_completion_rate < 0.5 THEN '生产进度滞后' END,
+        CASE WHEN qc_pass_rate < 0.9 THEN '质检通过率低' END,
+        CASE WHEN operation_defect_rate > 0.05 THEN '工序不良率高' END,
+        CASE WHEN return_rate > 0.05 THEN '历史退货率高' END,
+        CASE WHEN payment_status = 'UNPAID' THEN '未付款' END
+    ) AS risk_reasons
+
+FROM order_risk
+ORDER BY delay_probability DESC, deal_amount DESC;

lzwcai_mcpskills_analyzeOrder/lzwcai_mcpskills_analyzeOrder/utils/__init__.py

@@ -0,0 +1,25 @@
+"""Utils package for lzwcai_mcp_sqlexecutor"""
+
+from .json_helper import load_json
+from .name_helper import generate_tool_name
+from .schema_helper import generate_input_schema, validate_input_schema
+from .api_client import DataSourceAPIClient, get_skill_by_id, process_skill_response, test_sql_with_schema
+from .env_config import get_database_id, get_datasource_id, get_skill_id, get_backend_base_url, get_env_config, set_env_variable
+
+__all__ = [
+    'load_json', 
+    'generate_tool_name', 
+    'generate_input_schema', 
+    'validate_input_schema',
+    'DataSourceAPIClient',
+    'get_skill_by_id',
+    'process_skill_response',
+    'test_sql_with_schema',
+    'get_database_id',
+    'get_datasource_id',
+    'get_skill_id',
+    'get_backend_base_url',
+    'get_env_config',
+    'set_env_variable'
+]
+

lzwcai_mcpskills_analyzeOrder/lzwcai_mcpskills_analyzeOrder/utils/api_client.py

@@ -0,0 +1,318 @@
+"""
+第三方API调用客户端
+用于调用外部数据源接口
+"""
+
+import httpx
+import logging
+import json
+from typing import Dict, Any, Optional, List
+
+# 支持直接运行和模块导入两种方式
+try:
+    from .env_config import get_backend_base_url
+except ImportError:
+    from env_config import get_backend_base_url
+
+# 获取日志记录器
+logger = logging.getLogger(__name__)
+
+
+class DataSourceAPIClient:
+    """数据源API客户端"""
+    
+    def __init__(
+        self, 
+        base_url: Optional[str] = None,
+        token: Optional[str] = None
+    ):
+        """
+        初始化API客户端
+        
+        Args:
+            base_url: API基础URL（默认从环境变量 BACKEND_BASE_URL 读取，如果未设置则使用 http://192.168.2.236:8088）
+            token: 认证令牌（Bearer Token）
+        """
+        # 如果没有传入 base_url，则从环境变量读取
+        if base_url is None:
+            base_url = get_backend_base_url()
+        
+        self.base_url = base_url.rstrip('/')
+        self.token = token or "eyJhbGciOiJIUzUxMiJ9.eyJsb2dpbl91c2VyX2tleSI6IjJiYTk4ODllLWM2ZGItNDQ5YS1iZmFjLTQ2YzMxODFlODg5NCJ9.dvi8zm0LsWvJ_h9zD5blnHFRxa4z4_WBm1R487ekE7HlHzrN6dnvqhK8askqT5b1EcE8myHwRzLVMoI8UOjOrw"
+        self.client = httpx.Client(timeout=30.0)
+        
+    def _get_headers(self) -> Dict[str, str]:
+        """
+        获取请求头
+        
+        Returns:
+            请求头字典
+        """
+        return {
+            'Authorization': f'Bearer {self.token}',
+        }
+    
+    def get_skill_by_id(self, skill_id: str) -> Dict[str, Any]:
+        """
+        根据技能ID获取技能信息
+        
+        Args:
+            skill_id: 技能ID
+            
+        Returns:
+            API响应数据
+            
+        Raises:
+            Exception: 请求失败时抛出
+        """
+        try:
+            url = f"{self.base_url}/datasource/skill/getBySkillId/{skill_id}"
+            
+            logger.info(f"正在调用API: {url}")
+            logger.info(f"请求参数 - skill_id: {skill_id}")
+            
+            response = self.client.get(
+                url,
+                headers=self._get_headers()
+            )
+            
+            # 检查HTTP状态码
+            response.raise_for_status()
+            
+            # 解析JSON响应
+            data = response.json()
+            
+            logger.info(f"API调用成功: {url}")
+            logger.debug(f"响应数据: {data}")
+            
+            return data
+            
+        except httpx.TimeoutException:
+            error_msg = f"API请求超时: {url}"
+            logger.error(error_msg)
+            raise Exception(error_msg)
+            
+        except httpx.HTTPStatusError as e:
+            error_msg = f"API请求失败 (HTTP {e.response.status_code}): {url}"
+            logger.error(error_msg)
+            logger.error(f"错误响应: {e.response.text}")
+            raise Exception(error_msg)
+            
+        except httpx.RequestError as e:
+            error_msg = f"API请求异常: {url}, 错误: {str(e)}"
+            logger.error(error_msg)
+            raise Exception(error_msg)
+            
+        except Exception as e:
+            error_msg = f"处理API响应时出错: {str(e)}"
+            logger.error(error_msg, exc_info=True)
+            raise Exception(error_msg)
+    
+    def test_sql_with_schema(self, request_data: Dict[str, Any]) -> Dict[str, Any]:
+        """
+        测试SQL语句并返回执行结果
+        
+        Args:
+            request_data: 请求数据，包含以下字段：
+                - datasourceId: 数据源ID
+                - businessName: 业务名称
+                - businessDescription: 业务描述
+                - sqlTemplate: SQL模板
+                - parameters: 参数定义
+                - testParams: 测试参数
+                
+        Returns:
+            API响应数据
+            
+        Raises:
+            Exception: 请求失败时抛出
+        """
+        try:
+            url = f"{self.base_url}/datasource/sqlExecutionLog/testSqlWithSchema"
+            
+            # 构建请求头（包含Content-Type）
+            headers = self._get_headers()
+            headers['Content-Type'] = 'application/json'
+            headers['Accept'] = '*/*'
+            
+            logger.info(f"正在调用测试SQL API: {url}")
+            logger.info(f"请求参数: {json.dumps(request_data, ensure_ascii=False, indent=2)}")
+            
+            # 发送POST请求
+            response = self.client.post(
+                url,
+                headers=headers,
+                json=request_data
+            )
+            
+            # 检查HTTP状态码
+            response.raise_for_status()
+            
+            # 解析JSON响应
+            result = response.json()
+            
+            logger.info(f"测试SQL API调用成功")
+            logger.debug(f"响应数据: {json.dumps(result, ensure_ascii=False, indent=2)}")
+            
+            # 处理返回数据结构: {code, data: {errorMessage, data}, msg}
+            # 检查外层 code
+            if result.get("code") != 200:
+                error_msg = result.get("msg", "接口返回错误")
+                logger.error(f"接口返回错误: code={result.get('code')}, msg={error_msg}")
+                raise Exception(error_msg)
+            
+            # 检查内层 errorMessage
+            inner_data = result.get("data", {})
+            if inner_data.get("errorMessage"):
+                error_msg = inner_data.get("errorMessage")
+                logger.error(f"接口业务错误: {error_msg}")
+                raise Exception(error_msg)
+            
+            # 返回 data.data
+            return inner_data.get("data")
+            
+        except httpx.TimeoutException:
+            error_msg = f"测试SQL API请求超时: {url}"
+            logger.error(error_msg)
+            raise Exception(error_msg)
+            
+        except httpx.HTTPStatusError as e:
+            error_msg = f"测试SQL API请求失败 (HTTP {e.response.status_code}): {url}"
+            logger.error(error_msg)
+            logger.error(f"错误响应: {e.response.text}")
+            raise Exception(error_msg)
+            
+        except httpx.RequestError as e:
+            error_msg = f"测试SQL API请求异常: {url}, 错误: {str(e)}"
+            logger.error(error_msg)
+            raise Exception(error_msg)
+            
+        except Exception as e:
+            error_msg = f"处理测试SQL API响应时出错: {str(e)}"
+            logger.error(error_msg, exc_info=True)
+            raise Exception(error_msg)
+    
+    def close(self):
+        """关闭HTTP客户端"""
+        self.client.close()
+
+
+# 创建默认客户端实例
+default_client = DataSourceAPIClient()
+
+
+def get_skill_by_id(skill_id: str, base_url: Optional[str] = None, token: Optional[str] = None) -> Dict[str, Any]:
+    """
+    便捷函数：根据技能ID获取技能信息
+    
+    Args:
+        skill_id: 技能ID
+        base_url: API基础URL（可选，默认从环境变量 BACKEND_BASE_URL 读取）
+        token: 认证令牌（可选，使用默认值）
+        
+    Returns:
+        API响应数据
+    """
+    if base_url or token:
+        client = DataSourceAPIClient(
+            base_url=base_url,
+            token=token
+        )
+        return client.get_skill_by_id(skill_id)
+    else:
+        return default_client.get_skill_by_id(skill_id)
+
+
+def test_sql_with_schema(request_data: Dict[str, Any], base_url: Optional[str] = None, token: Optional[str] = None) -> Dict[str, Any]:
+    """
+    便捷函数：测试SQL语句并返回执行结果
+    
+    Args:
+        request_data: 请求数据，包含以下字段：
+            - datasourceId: 数据源ID
+            - businessName: 业务名称
+            - businessDescription: 业务描述
+            - sqlTemplate: SQL模板
+            - parameters: 参数定义
+            - testParams: 测试参数
+        base_url: API基础URL（可选，默认从环境变量 BACKEND_BASE_URL 读取）
+        token: 认证令牌（可选，使用默认值）
+        
+    Returns:
+        API响应数据
+    """
+    if base_url or token:
+        client = DataSourceAPIClient(
+            base_url=base_url,
+            token=token
+        )
+        return client.test_sql_with_schema(request_data)
+    else:
+        return default_client.test_sql_with_schema(request_data)
+
+
+def process_skill_response(response: Dict[str, Any]) -> List[Dict[str, Any]]:
+    """
+    处理API响应数据，映射为businessQueries格式
+    
+    Args:
+        response: API原始响应数据
+        
+    Returns:
+        处理后的查询配置列表
+    """
+    try:
+        # 提取data数组
+        data_list = response.get("data", [])
+        
+        # 默认的员工ID参数schema
+        default_employee_schema = {
+            "type": "object",
+            "required": ["employeeId"],
+            "properties": {
+                "employeeId": {
+                    "type": "number",
+                    "description": "员工ID，用于标识员工的唯一数字标识符",
+                    "examples": [1001, 2002]
+                }
+            }
+        }
+        
+        # 映射每个skill为businessQuery格式
+        queries = []
+        for skill in data_list:
+            # 解析sqlParams字符串为JSON对象
+            sql_params = json.loads(skill.get("sqlParams", "{}"))
+            
+            # 判断sqlParams是否为空对象
+            is_empty_params = (
+                not sql_params.get("properties") or 
+                len(sql_params.get("properties", {})) == 0
+            ) and (
+                not sql_params.get("required") or 
+                len(sql_params.get("required", [])) == 0
+            )
+            
+            # 如果是空对象，使用默认的员工ID参数
+            if is_empty_params:
+                logger.info(f"技能 {skill.get('name')} (ID: {skill.get('id')}) 的sqlParams为空，使用默认员工ID参数")
+                sql_params = default_employee_schema
+            
+            # 映射字段
+            query = {
+                "id": skill.get("id"),
+                "businessName": skill.get("name"),
+                "businessDescription": skill.get("description"),
+                "sqlTemplate": skill.get("sqlTemplate"),
+                "parameters": sql_params,
+                "datasourceId": skill.get("datasourceId")
+            }
+            queries.append(query)
+        
+        logger.info(f"成功处理 {len(queries)} 条技能数据")
+        return queries
+        
+    except Exception as e:
+        logger.error(f"处理API响应数据失败: {e}", exc_info=True)
+        raise
+

lzwcai_mcpskills_analyzeOrder/lzwcai_mcpskills_analyzeOrder/utils/env_config.py

@@ -0,0 +1,106 @@
+"""环境变量配置模块"""
+
+import os
+from typing import Optional
+
+
+def get_database_id(default: str = "29") -> str:
+    """
+    获取数据库ID环境变量
+    
+    Args:
+        default: 默认值（默认为 "29"）
+        
+    Returns:
+        str: 数据库ID
+        
+    Environment Variables:
+        databaseId: 数据库ID
+    """
+    return os.environ.get("databaseId", default)
+
+
+def get_datasource_id(default: str = "") -> str:
+    """
+    获取数据源ID环境变量
+    
+    Args:
+        default: 默认值（默认为 ""）
+        
+    Returns:
+        str: 数据源ID
+        
+    Environment Variables:
+        datasourceId: 数据源ID
+    """
+    return os.environ.get("datasourceId", default)
+
+
+def get_skill_id(default: str = "") -> str:
+    """
+    获取技能ID环境变量
+    
+    Args:
+        default: 默认值（默认为 ""）
+        
+    Returns:
+        str: 技能ID
+        
+    Environment Variables:
+        skillId: 技能ID
+    """
+    return os.environ.get("skillId", default)
+
+
+def get_backend_base_url(default: str = "http://lzwcai-demp-corp-manager:8086") -> str:
+    """
+    获取后端API基础URL环境变量
+    
+    Args:
+        default: 默认值（默认为 "http://lzwcai-demp-corp-manager:8086"）
+        
+    Returns:
+        str: 后端API基础URL
+        
+    Environment Variables:
+        backendBaseUrl: 后端API基础URL
+    """
+    return os.environ.get("backendBaseUrl", default)
+
+
+def get_env_config() -> dict:
+    """
+    获取所有环境配置
+    
+    Returns:
+        dict: 包含所有配置的字典
+        
+    Example:
+        config = get_env_config()
+        print(config['database_id'])       # 输出: "29"
+        print(config['datasource_id'])     # 输出: ""
+        print(config['skill_id'])          # 输出: ""
+        print(config['backend_base_url'])  # 输出: "http://lzwcai-demp-corp-manager:8086"
+    """
+    return {
+        "database_id": get_database_id(),
+        "datasource_id": get_datasource_id(),
+        "skill_id": get_skill_id(),
+        "backend_base_url": get_backend_base_url()
+    }
+
+
+def set_env_variable(key: str, value: str) -> None:
+    """
+    设置环境变量（仅在当前进程中有效）
+    
+    Args:
+        key: 环境变量名
+        value: 环境变量值
+        
+    Example:
+        set_env_variable("databaseId", "30")
+        set_env_variable("skillId", "1234567890")
+    """
+    os.environ[key] = value
+

lzwcai_mcpskills_analyzeOrder/lzwcai_mcpskills_analyzeOrder/utils/json_helper.py

@@ -0,0 +1,60 @@
+"""JSON 文件读取工具"""
+
+import json
+from pathlib import Path
+from typing import Any, Union
+
+
+def load_json(json_path: Union[str, Path]) -> Any:
+    """
+    读取 JSON 文件并返回其内容
+    
+    Args:
+        json_path: JSON 文件的路径（支持字符串或 Path 对象）
+        
+    Returns:
+        JSON 文件中解析后的数据（可以是字典、列表或其他 JSON 类型）
+        
+    Raises:
+        FileNotFoundError: 当文件不存在时
+        json.JSONDecodeError: 当 JSON 格式无效时
+        Exception: 其他读取错误
+        
+    Example:
+        >>> data = load_json('config.json')
+        >>> print(data)
+        {'key': 'value'}
+        
+        >>> data = load_json(Path('data/users.json'))
+        >>> print(data)
+        [{'id': 1, 'name': 'Alice'}]
+    """
+    try:
+        # 转换为 Path 对象
+        path = Path(json_path)
+        
+        # 检查文件是否存在
+        if not path.exists():
+            raise FileNotFoundError(f"JSON 文件不存在: {json_path}")
+        
+        # 检查是否为文件
+        if not path.is_file():
+            raise ValueError(f"路径不是一个文件: {json_path}")
+        
+        # 读取并解析 JSON 文件
+        with open(path, 'r', encoding='utf-8') as f:
+            data = json.load(f)
+        
+        return data
+        
+    except json.JSONDecodeError as e:
+        raise json.JSONDecodeError(
+            f"JSON 格式错误: {e.msg}",
+            e.doc,
+            e.pos
+        )
+    except FileNotFoundError:
+        raise
+    except Exception as e:
+        raise Exception(f"读取 JSON 文件时发生错误: {str(e)}")
+

lzwcai_mcpskills_analyzeOrder/lzwcai_mcpskills_analyzeOrder/utils/logger_config.py

@@ -0,0 +1,489 @@
+# -*- coding: utf-8 -*-
+"""
+统一日志配置模块
+提供系统级别的日志配置和管理
+"""
+
+import os
+import sys
+import logging
+from logging.handlers import RotatingFileHandler, TimedRotatingFileHandler
+from datetime import datetime
+from pathlib import Path
+
+
+class LoggerConfig:
+    """日志配置管理类"""
+    
+    def __init__(self, logs_dir: str = None):
+        """初始化日志配置
+        
+        Args:
+            logs_dir: 日志目录路径，默认为项目根目录下的logs文件夹
+        """
+        # 确定日志目录
+        if logs_dir:
+            self.logs_dir = Path(logs_dir)
+        else:
+            # 获取项目根目录（logger_config.py 在 utils 目录下，需要上升两层到达项目根目录）
+            project_root = Path(__file__).parent.parent
+            self.logs_dir = project_root / "logs"
+        
+        # 创建日志目录
+        self.logs_dir.mkdir(exist_ok=True)
+        
+        # 日志格式
+        self.log_format = '%(asctime)s - %(name)s - %(levelname)s - [%(filename)s:%(lineno)d] - %(message)s'
+        self.date_format = '%Y-%m-%d %H:%M:%S'
+        
+        # 从环境变量获取日志级别，默认为INFO
+        self.log_level = self._get_log_level_from_env()
+        
+        # 是否已初始化
+        self._initialized = False
+    
+    def _get_log_level_from_env(self) -> int:
+        """从环境变量获取日志级别
+        
+        Returns:
+            int: 日志级别
+        """
+        log_level_str = os.getenv('LOG_LEVEL', 'INFO').upper()
+        
+        # 日志级别映射
+        level_mapping = {
+            'DEBUG': logging.DEBUG,
+            'INFO': logging.INFO,
+            'WARNING': logging.WARNING,
+            'WARN': logging.WARNING,  # 兼容性别名
+            'ERROR': logging.ERROR,
+            'CRITICAL': logging.CRITICAL,
+            'FATAL': logging.CRITICAL  # 兼容性别名
+        }
+        
+        return level_mapping.get(log_level_str, logging.INFO)
+    
+    def setup_logging(self, 
+                     app_name: str = "lzwcai_mcp_sqlexecutor",
+                     log_level: int = logging.INFO,
+                     max_file_size: int = 10 * 1024 * 1024,  # 10MB
+                     backup_count: int = 5,
+                     console_output: bool = True) -> logging.Logger:
+        """设置系统日志配置
+        
+        Args:
+            app_name: 应用名称，用于日志文件命名
+            log_level: 日志级别
+            max_file_size: 单个日志文件最大大小（字节）
+            backup_count: 保留的备份文件数量
+            console_output: 是否输出到控制台
+            
+        Returns:
+            logging.Logger: 配置好的根日志器
+        """
+        if self._initialized:
+            return logging.getLogger()
+        
+        # 设置根日志器
+        root_logger = logging.getLogger()
+        root_logger.setLevel(log_level)
+        
+        # 清除现有的处理器
+        for handler in root_logger.handlers[:]:
+            root_logger.removeHandler(handler)
+        
+        # 创建格式化器
+        formatter = logging.Formatter(self.log_format, self.date_format)
+        
+        # 1. 主日志文件 - 按大小滚动
+        main_log_file = self.logs_dir / f"{app_name}.log"
+        file_handler = RotatingFileHandler(
+            main_log_file,
+            maxBytes=max_file_size,
+            backupCount=backup_count,
+            encoding='utf-8'
+        )
+        file_handler.setLevel(log_level)
+        file_handler.setFormatter(formatter)
+        root_logger.addHandler(file_handler)
+        
+        # 2. 错误日志文件 - 只记录ERROR及以上级别
+        error_log_file = self.logs_dir / f"{app_name}_error.log"
+        error_handler = RotatingFileHandler(
+            error_log_file,
+            maxBytes=max_file_size,
+            backupCount=backup_count,
+            encoding='utf-8'
+        )
+        error_handler.setLevel(logging.ERROR)
+        error_handler.setFormatter(formatter)
+        root_logger.addHandler(error_handler)
+        
+        # 3. 按日期滚动的日志文件
+        daily_log_file = self.logs_dir / f"{app_name}_daily.log"
+        daily_handler = TimedRotatingFileHandler(
+            daily_log_file,
+            when='midnight',
+            interval=1,
+            backupCount=30,  # 保留30天
+            encoding='utf-8'
+        )
+        daily_handler.setLevel(log_level)
+        daily_handler.setFormatter(formatter)
+        daily_handler.suffix = "%Y-%m-%d"
+        root_logger.addHandler(daily_handler)
+        
+        # 4. 控制台输出
+        # 重要：MCP协议使用stdio时，必须将日志输出到stderr，stdout仅用于JSON-RPC通信
+        if console_output:
+            console_handler = logging.StreamHandler(sys.stderr)
+            console_handler.setLevel(log_level)
+            console_formatter = logging.Formatter(
+                '%(asctime)s - %(name)s - %(levelname)s - %(message)s',
+                self.date_format
+            )
+            console_handler.setFormatter(console_formatter)
+            root_logger.addHandler(console_handler)
+        
+        self._initialized = True
+        
+        # 记录初始化信息
+        root_logger.info(f"日志系统初始化完成 - 日志目录: {self.logs_dir}")
+        root_logger.info(f"日志配置 - 级别: {logging.getLevelName(log_level)}, 文件大小限制: {max_file_size//1024//1024}MB, 备份数量: {backup_count}")
+        
+        return root_logger
+    
+    def get_module_logger(self, module_name: str) -> logging.Logger:
+        """获取模块专用日志器
+        
+        Args:
+            module_name: 模块名称
+            
+        Returns:
+            logging.Logger: 模块日志器
+        """
+        return logging.getLogger(module_name)
+    
+    def create_component_logger(self, 
+                               component_name: str,
+                               log_file: str = None,
+                               log_level: int = None) -> logging.Logger:
+        """为特定组件创建独立的日志器
+        
+        Args:
+            component_name: 组件名称
+            log_file: 独立日志文件名（可选）
+            log_level: 日志级别（可选）
+            
+        Returns:
+            logging.Logger: 组件日志器
+        """
+        logger = logging.getLogger(component_name)
+        
+        if log_file:
+            # 为组件创建独立的日志文件
+            component_log_file = self.logs_dir / log_file
+            handler = RotatingFileHandler(
+                component_log_file,
+                maxBytes=5 * 1024 * 1024,  # 5MB
+                backupCount=3,
+                encoding='utf-8'
+            )
+            
+            formatter = logging.Formatter(self.log_format, self.date_format)
+            handler.setFormatter(formatter)
+            
+            if log_level:
+                handler.setLevel(log_level)
+            
+            logger.addHandler(handler)
+            logger.info(f"组件日志器创建完成: {component_name} -> {component_log_file}")
+        
+        return logger
+    
+    def setup_mqtt_logging(self) -> logging.Logger:
+        """设置MQTT专用日志
+        
+        Returns:
+            logging.Logger: MQTT日志器
+        """
+        return self.create_component_logger(
+            "mqtt_communication",
+            "mqtt_communication.log",
+            logging.DEBUG
+        )
+    
+    def setup_mcp_logging(self) -> logging.Logger:
+        """设置MCP专用日志
+        
+        Returns:
+            logging.Logger: MCP日志器
+        """
+        return self.create_component_logger(
+            "mcp_services",
+            "mcp_services.log",
+            logging.DEBUG
+        )
+    
+    def setup_api_logging(self) -> logging.Logger:
+        """设置API专用日志
+        
+        Returns:
+            logging.Logger: API日志器
+        """
+        return self.create_component_logger(
+            "api_requests",
+            "api_requests.log",
+            logging.INFO
+        )
+    
+    def get_logs_info(self) -> dict:
+        """获取日志系统信息
+        
+        Returns:
+            dict: 日志系统信息
+        """
+        log_files = []
+        if self.logs_dir.exists():
+            for log_file in self.logs_dir.glob("*.log*"):
+                stat = log_file.stat()
+                log_files.append({
+                    "name": log_file.name,
+                    "size": stat.st_size,
+                    "modified": datetime.fromtimestamp(stat.st_mtime).isoformat()
+                })
+        
+        return {
+            "logs_directory": str(self.logs_dir),
+            "initialized": self._initialized,
+            "log_files": log_files,
+            "total_files": len(log_files)
+        }
+    
+    def cleanup_old_logs(self, days: int = 30):
+        """清理旧日志文件
+        
+        Args:
+            days: 保留天数
+        """
+        if not self.logs_dir.exists():
+            return
+        
+        from datetime import timedelta
+        cutoff_time = datetime.now() - timedelta(days=days)
+        
+        cleaned_files = []
+        for log_file in self.logs_dir.glob("*.log*"):
+            if log_file.stat().st_mtime < cutoff_time.timestamp():
+                try:
+                    log_file.unlink()
+                    cleaned_files.append(log_file.name)
+                except Exception as e:
+                    logging.error(f"清理日志文件失败: {log_file.name}, 错误: {e}")
+        
+        if cleaned_files:
+            logging.info(f"清理了 {len(cleaned_files)} 个旧日志文件: {cleaned_files}")
+    
+    def set_log_level(self, level: int, logger_name: str = None):
+        """动态调整日志级别
+        
+        Args:
+            level: 新的日志级别 (logging.DEBUG, logging.INFO, logging.WARNING, logging.ERROR, logging.CRITICAL)
+            logger_name: 指定日志器名称，None表示调整根日志器
+        """
+        if logger_name:
+            logger = logging.getLogger(logger_name)
+        else:
+            logger = logging.getLogger()
+        
+        old_level = logger.level
+        logger.setLevel(level)
+        
+        # 同时调整所有处理器的级别
+        for handler in logger.handlers:
+            if not isinstance(handler, logging.StreamHandler) or handler.stream not in (sys.stdout, sys.stderr):
+                # 不调整控制台处理器的级别，保持原有设置
+                handler.setLevel(level)
+        
+        level_name = logging.getLevelName(level)
+        old_level_name = logging.getLevelName(old_level)
+        target = logger_name or "根日志器"
+        
+        logger.info(f"日志级别已调整: {target} {old_level_name} -> {level_name}")
+    
+    def set_temporary_log_level(self, level: int, logger_name: str = None):
+        """临时调整日志级别（会保存原始级别用于恢复）
+        
+        Args:
+            level: 临时日志级别
+            logger_name: 指定日志器名称，None表示调整根日志器
+        """
+        if not hasattr(self, '_original_levels'):
+            self._original_levels = {}
+        
+        target_name = logger_name or 'root'
+        
+        if logger_name:
+            logger = logging.getLogger(logger_name)
+        else:
+            logger = logging.getLogger()
+        
+        # 保存原始级别
+        if target_name not in self._original_levels:
+            self._original_levels[target_name] = logger.level
+        
+        # 设置新级别
+        self.set_log_level(level, logger_name)
+        
+        level_name = logging.getLevelName(level)
+        target = logger_name or "根日志器"
+        logger.info(f"临时调整日志级别: {target} -> {level_name} (可通过restore_log_level恢复)")
+    
+    def restore_log_level(self, logger_name: str = None):
+        """恢复日志级别到调整前的状态
+        
+        Args:
+            logger_name: 指定日志器名称，None表示恢复根日志器
+        """
+        if not hasattr(self, '_original_levels'):
+            logging.warning("没有找到保存的原始日志级别")
+            return
+        
+        target_name = logger_name or 'root'
+        
+        if target_name not in self._original_levels:
+            logging.warning(f"没有找到 {target_name} 的原始日志级别")
+            return
+        
+        original_level = self._original_levels[target_name]
+        self.set_log_level(original_level, logger_name)
+        
+        # 清除保存的级别
+        del self._original_levels[target_name]
+        
+        target = logger_name or "根日志器"
+        level_name = logging.getLevelName(original_level)
+        logging.info(f"已恢复日志级别: {target} -> {level_name}")
+    
+    def get_current_log_levels(self) -> dict:
+        """获取当前所有日志器的级别信息
+        
+        Returns:
+            dict: 日志器级别信息
+        """
+        levels_info = {}
+        
+        # 根日志器
+        root_logger = logging.getLogger()
+        levels_info['root'] = {
+            'level': root_logger.level,
+            'level_name': logging.getLevelName(root_logger.level),
+            'handlers_count': len(root_logger.handlers)
+        }
+        
+        # 其他已创建的日志器
+        for name, logger in logging.Logger.manager.loggerDict.items():
+            if isinstance(logger, logging.Logger):
+                levels_info[name] = {
+                    'level': logger.level,
+                    'level_name': logging.getLevelName(logger.level),
+                    'handlers_count': len(logger.handlers)
+                }
+        
+        return levels_info
+
+
+# 全局日志配置实例
+logger_config = LoggerConfig()
+
+
+def setup_system_logging(app_name: str = "lzwcai_mcp_sqlexecutor", 
+                        log_level: int = logging.INFO) -> logging.Logger:
+    """系统日志初始化快捷函数
+    
+    Args:
+        app_name: 应用名称
+        log_level: 日志级别
+        
+    Returns:
+        logging.Logger: 根日志器
+    """
+    return logger_config.setup_logging(app_name, log_level)
+
+
+def get_logger(name: str) -> logging.Logger:
+    """获取日志器的快捷函数
+    
+    Args:
+        name: 日志器名称
+        
+    Returns:
+        logging.Logger: 日志器实例
+    """
+    return logger_config.get_module_logger(name)
+
+
+def set_log_level(level: int, logger_name: str = None):
+    """动态调整日志级别的快捷函数
+    
+    Args:
+        level: 新的日志级别 (logging.DEBUG, logging.INFO, logging.WARNING, logging.ERROR, logging.CRITICAL)
+        logger_name: 指定日志器名称，None表示调整根日志器
+    
+    Examples:
+        # 调整根日志器为DEBUG级别
+        set_log_level(logging.DEBUG)
+        
+        # 调整特定模块日志器为WARNING级别
+        set_log_level(logging.WARNING, "agent_ontology.core")
+    """
+    logger_config.set_log_level(level, logger_name)
+
+
+def set_temporary_log_level(level: int, logger_name: str = None):
+    """临时调整日志级别的快捷函数
+    
+    Args:
+        level: 临时日志级别
+        logger_name: 指定日志器名称，None表示调整根日志器
+    
+    Examples:
+        # 临时调整为DEBUG级别进行调试
+        set_temporary_log_level(logging.DEBUG)
+        # ... 进行调试 ...
+        # 恢复原始级别
+        restore_log_level()
+    """
+    logger_config.set_temporary_log_level(level, logger_name)
+
+
+def restore_log_level(logger_name: str = None):
+    """恢复日志级别的快捷函数
+    
+    Args:
+        logger_name: 指定日志器名称，None表示恢复根日志器
+    """
+    logger_config.restore_log_level(logger_name)
+
+
+def get_current_log_levels() -> dict:
+    """获取当前日志级别信息的快捷函数
+    
+    Returns:
+        dict: 日志器级别信息
+    
+    Examples:
+        levels = get_current_log_levels()
+        print(f"根日志器级别: {levels['root']['level_name']}")
+    """
+    return logger_config.get_current_log_levels()
+
+
+# 便捷的日志级别常量
+class LogLevel:
+    """日志级别常量类"""
+    DEBUG = logging.DEBUG
+    INFO = logging.INFO
+    WARNING = logging.WARNING
+    ERROR = logging.ERROR
+    CRITICAL = logging.CRITICAL

lzwcai_mcpskills_analyzeOrder/lzwcai_mcpskills_analyzeOrder/utils/name_helper.py

@@ -0,0 +1,41 @@
+# -*- coding: utf-8 -*-
+"""
+名称生成工具模块
+"""
+
+from pypinyin import lazy_pinyin, Style
+import logging
+
+logger = logging.getLogger(__name__)
+
+
+def generate_tool_name(business_name: str, tool_id: str) -> str:
+    """
+    根据业务名称和ID生成工具名称
+    格式: tool_拼音_id
+    
+    Args:
+        business_name: 业务名称（中文）
+        tool_id: 工具ID
+        
+    Returns:
+        str: 格式化的工具名称
+    """
+    try:
+        # 将中文转换为拼音（无音调，小写）
+        pinyin_list = lazy_pinyin(business_name, style=Style.NORMAL)
+        # 拼接拼音
+        pinyin_str = ''.join(pinyin_list)
+        
+        # 将 ID 中的 '-' 替换为 '_'
+        formatted_id = tool_id.replace('-', '_')
+        
+        # 组合成最终的工具名称
+        tool_name = f"tool_{pinyin_str}_{formatted_id}"
+        
+        return tool_name
+    except Exception as e:
+        logger.error(f"生成工具名称失败: {business_name}, {tool_id}, 错误: {e}", exc_info=True)
+        # 降级处理：如果拼音转换失败，使用 ID
+        return f"tool_{tool_id.replace('-', '_')}"
+

lzwcai_mcpskills_analyzeOrder/lzwcai_mcpskills_analyzeOrder/utils/schema_helper.py

@@ -0,0 +1,166 @@
+# -*- coding: utf-8 -*-
+"""
+Schema 生成工具模块
+"""
+
+from typing import Any, Dict, List
+
+
+def generate_input_schema(parameters: Dict[str, Any]) -> Dict[str, Any]:
+    """
+    从查询配置的参数定义生成 MCP 工具的 inputSchema
+    
+    此函数会保留完整的 JSON Schema 信息，包括：
+    - type: Schema 类型（通常是 "object"）
+    - required: 必填字段列表
+    - properties: 属性定义（包括每个属性的 type, description, format, examples 等）
+    - description: Schema 的整体描述（如果有）
+    - 以及其他任何 JSON Schema 标准字段
+    
+    此函数还会自动添加以下字段（如果原始 parameters 中未定义）：
+    - targetDatabaseName: 目标数据库名称（非必填，默认为空字符串）
+    
+    Args:
+        parameters: 查询配置中的参数定义字典，应该是一个完整的 JSON Schema 对象
+        
+    Returns:
+        Dict[str, Any]: 符合 JSON Schema 规范的 inputSchema 对象
+        
+    Example:
+        >>> params = {
+        ...     "type": "object",
+        ...     "required": ["userId", "startTime"],
+        ...     "properties": {
+        ...         "userId": {
+        ...             "type": "integer",
+        ...             "description": "用户的唯一标识符",
+        ...             "examples": [10086]
+        ...         },
+        ...         "startTime": {
+        ...             "type": "string",
+        ...             "format": "date-time",
+        ...             "description": "查询的起始时间",
+        ...             "examples": ["2023-01-01 00:00:00"]
+        ...         }
+        ...     }
+        ... }
+        >>> schema = generate_input_schema(params)
+        >>> # schema 将包含所有原始信息，包括 format 和 examples
+        >>> # 同时会自动添加 targetDatabaseName 字段
+    """
+    # 如果 parameters 本身就是一个完整的 JSON Schema 对象，直接使用
+    # 但确保至少包含 type 和 properties
+    if not parameters:
+        # 如果 parameters 为空，返回一个空的 object schema
+        return {
+            "type": "object",
+            "properties": {},
+            "required": []
+        }
+    
+    # 检查 parameters 是否已经是完整的 JSON Schema 格式
+    # 完整格式应该有 "type": "object" 和 "properties" 字段
+    if "type" in parameters and parameters.get("type") == "object" and "properties" in parameters:
+        # 已经是完整的 JSON Schema 格式，直接使用
+        input_schema = dict(parameters)
+    else:
+        # parameters 是简化格式（直接是参数定义），需要转换为 JSON Schema 格式
+        # 例如: {"workOrderNumber": {"type": "string", "description": "...", "required": true}}
+        properties = {}
+        required = []
+        
+        for param_name, param_def in parameters.items():
+            if isinstance(param_def, dict):
+                # 提取 required 标记
+                if param_def.get("required", False):
+                    required.append(param_name)
+                
+                # 复制参数定义，但移除 required 字段（它应该在顶层的 required 数组中）
+                prop_def = {k: v for k, v in param_def.items() if k != "required"}
+                properties[param_name] = prop_def
+        
+        input_schema = {
+            "type": "object",
+            "properties": properties,
+            "required": required
+        }
+    
+    # 确保必需的字段存在
+    if "type" not in input_schema:
+        input_schema["type"] = "object"
+    
+    if "properties" not in input_schema:
+        input_schema["properties"] = {}
+    
+    if "required" not in input_schema:
+        input_schema["required"] = []
+    
+    # 添加 targetDatabaseName 字段（如果不存在）
+    if "targetDatabaseName" not in input_schema["properties"]:
+        input_schema["properties"]["targetDatabaseName"] = {
+            "type": "string",
+            "description": "目标数据库名称",
+            "default": ""
+        }
+    
+    # 保留所有其他字段，如 description, examples, format 等
+    # JSON Schema 标准支持的字段都会被保留：
+    # - additionalProperties
+    # - patternProperties
+    # - minProperties / maxProperties
+    # - dependencies
+    # - 等等
+    
+    return input_schema
+
+
+def validate_input_schema(schema: Dict[str, Any]) -> tuple[bool, str]:
+    """
+    验证 inputSchema 是否符合基本的 JSON Schema 规范
+    
+    Args:
+        schema: 要验证的 schema 对象
+        
+    Returns:
+        tuple[bool, str]: (是否有效, 错误消息或成功消息)
+        
+    Example:
+        >>> schema = {"type": "object", "properties": {"id": {"type": "string"}}}
+        >>> is_valid, msg = validate_input_schema(schema)
+        >>> print(is_valid, msg)
+        True, "Schema 验证通过"
+    """
+    if not isinstance(schema, dict):
+        return False, "Schema 必须是一个字典对象"
+    
+    if schema.get("type") != "object":
+        return False, "Schema 的 type 字段必须是 'object'"
+    
+    if "properties" not in schema:
+        return False, "Schema 必须包含 properties 字段"
+    
+    if not isinstance(schema.get("properties"), dict):
+        return False, "Schema 的 properties 字段必须是一个字典对象"
+    
+    # 验证 required 字段（如果存在）
+    if "required" in schema:
+        required = schema["required"]
+        if not isinstance(required, list):
+            return False, "Schema 的 required 字段必须是一个列表"
+        
+        # 验证所有 required 的字段都在 properties 中定义
+        properties = schema["properties"]
+        for field in required:
+            if field not in properties:
+                return False, f"必填字段 '{field}' 未在 properties 中定义"
+    
+    # 验证 properties 中每个字段的定义
+    for prop_name, prop_def in schema["properties"].items():
+        if not isinstance(prop_def, dict):
+            return False, f"属性 '{prop_name}' 的定义必须是一个字典对象"
+        
+        if "type" not in prop_def:
+            return False, f"属性 '{prop_name}' 必须包含 type 字段"
+    
+    return True, "Schema 验证通过"
+

lzwcai_mcpskills_analyzeOrder/lzwcai_mcpskills_analyzeOrder/uv.lock

@@ -0,0 +1,497 @@
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+requires-python = ">=3.13"
+
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+    { name = "click" },
+    { name = "h11" },
+]
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+]

lzwcai_mcpskills_analyzeOrder/main.py

@@ -0,0 +1,13 @@
+"""
+Entry point for lzwcai-mcpskills-analyzeOrder
+Runs the MCP server for SQL query execution
+"""
+import os
+
+os.environ["databaseId"] = "19"
+os.environ["datasourceId"] = "19"
+os.environ["backendBaseUrl"] = "http://192.168.11.24:8088"
+if __name__ == "__main__":
+    # Import and run the actual MCP server
+    from lzwcai_mcpskills_analyzeOrder.main import main
+    main()

lzwcai_mcpskills_analyzeOrder/pyproject.toml

@@ -0,0 +1,35 @@
+[build-system]
+requires = ["hatchling"]
+build-backend = "hatchling.build"
+
+[project]
+name = "lzwcai-mcpskills-analyzeOrder"
+version = "0.1.12"
+description = "MCP server for executing business SQL queries with dynamic tool generation"
+readme = "README.md"
+requires-python = ">=3.13"
+license = {text = "MIT"}
+authors = [
+    {name = "lzwcai", email = "your-email@example.com"},
+]
+keywords = ["mcp", "sql", "executor", "server"]
+classifiers = [
+    "Development Status :: 3 - Alpha",
+    "Intended Audience :: Developers",
+    "Programming Language :: Python :: 3",
+    "Programming Language :: Python :: 3.13",
+]
+dependencies = [
+    "httpx>=0.28.1",
+    "mcp[cli]>=1.10.1",
+    "pypinyin>=0.53.0",
+]
+
+[project.scripts]
+lzwcai-mcpskills-analyzeOrder = "lzwcai_mcpskills_analyzeOrder.main:main"
+
+[tool.hatch.build.targets.wheel]
+packages = ["lzwcai_mcpskills_analyzeOrder"]
+
+[tool.hatch.build.targets.wheel.force-include]
+"lzwcai_mcpskills_analyzeOrder/businessQueries.json" = "lzwcai_mcpskills_analyzeOrder/businessQueries.json"

lzwcai_mcpskills_analyzeOrder/一页式决策简报.sql

@@ -0,0 +1,317 @@
+-- =====================================================
+-- 一页式决策简报SQL
+-- One-Page Decision Brief
+-- 数据库: PostgreSQL
+-- =====================================================
+
+-- =====================================================
+-- 主查询：一页式决策简报
+-- =====================================================
+WITH 
+sales_summary AS (
+    SELECT 
+        COUNT(*) AS total_orders,
+        SUM(deal_amount) AS total_sales_amount,
+        AVG(deal_amount) AS avg_order_amount,
+        SUM(CASE WHEN payment_status = 'PAID' THEN 1 ELSE 0 END) AS paid_orders,
+        SUM(CASE WHEN payment_status = 'PARTIAL' THEN 1 ELSE 0 END) AS partial_orders,
+        SUM(CASE WHEN payment_status = 'UNPAID' THEN 1 ELSE 0 END) AS unpaid_orders,
+        SUM(CASE WHEN payment_status = 'PAID' THEN deal_amount ELSE 0 END) AS paid_amount,
+        SUM(CASE WHEN payment_status = 'UNPAID' THEN deal_amount ELSE 0 END) AS unpaid_amount
+    FROM fact_sales_order
+),
+
+production_summary AS (
+    SELECT 
+        COUNT(*) AS total_work_orders,
+        SUM(planned_qty) AS total_planned_qty,
+        SUM(completed_qty) AS total_completed_qty,
+        SUM(CASE WHEN status = 'CLOSED' THEN 1 ELSE 0 END) AS closed_orders,
+        SUM(CASE WHEN status = 'STARTED' THEN 1 ELSE 0 END) AS started_orders,
+        SUM(CASE WHEN status = 'OPEN' THEN 1 ELSE 0 END) AS open_orders
+    FROM fact_work_order
+),
+
+ar_summary AS (
+    SELECT 
+        COUNT(*) AS receipt_count,
+        SUM(amount) AS total_receipt_amount,
+        AVG(amount) AS avg_receipt_amount
+    FROM fact_ar_receipt
+),
+
+ap_summary AS (
+    SELECT 
+        COUNT(*) AS payment_count,
+        SUM(amount) AS total_payment_amount,
+        AVG(amount) AS avg_payment_amount
+    FROM fact_ap_payment
+),
+
+invoice_summary AS (
+    SELECT 
+        COUNT(*) AS invoice_count,
+        SUM(invoice_amount) AS total_invoice_amount,
+        AVG(invoice_amount) AS avg_invoice_amount
+    FROM fact_invoice
+),
+
+return_summary AS (
+    SELECT 
+        COUNT(*) AS return_count,
+        SUM(amount) AS total_return_amount,
+        AVG(amount) AS avg_return_amount
+    FROM fact_sales_return
+),
+
+shipment_summary AS (
+    SELECT 
+        COUNT(*) AS shipment_count,
+        SUM(amount) AS total_shipment_amount,
+        AVG(amount) AS avg_shipment_amount
+    FROM fact_sales_shipment
+),
+
+purchase_summary AS (
+    SELECT COUNT(*) AS purchase_order_count
+    FROM fact_purchase_order
+),
+
+quality_summary AS (
+    SELECT 
+        COUNT(*) AS inspection_count,
+        SUM(pass_qty) AS total_pass_qty,
+        SUM(fail_qty) AS total_fail_qty
+    FROM fact_quality_inspection
+),
+
+labor_summary AS (
+    SELECT 
+        COUNT(DISTINCT worker_name) AS worker_count,
+        SUM(duration_minutes) AS total_work_minutes,
+        SUM(report_qty) AS total_output_qty
+    FROM fact_labor_report
+),
+
+scrap_summary AS (
+    SELECT COUNT(*) AS scrap_count
+    FROM fact_scrap
+)
+
+SELECT 
+    'Decision Brief' AS report_title,
+    CURRENT_DATE AS report_date,
+    
+    -- 销售板块
+    ss.total_orders AS sales_order_count,
+    ROUND(ss.total_sales_amount, 2) AS total_sales_amount,
+    ROUND(ss.avg_order_amount, 2) AS avg_order_amount,
+    ss.paid_orders AS paid_order_count,
+    ss.partial_orders AS partial_paid_count,
+    ss.unpaid_orders AS unpaid_order_count,
+    ROUND(ss.paid_orders * 100.0 / NULLIF(ss.total_orders, 0), 1) AS payment_completion_rate,
+    ROUND(ss.unpaid_amount, 2) AS receivable_amount,
+    
+    -- 生产板块
+    ps.total_work_orders AS work_order_count,
+    ps.closed_orders AS completed_work_orders,
+    ps.started_orders AS in_progress_work_orders,
+    ps.open_orders AS pending_work_orders,
+    ROUND(ps.total_planned_qty, 0) AS planned_qty,
+    ROUND(ps.total_completed_qty, 0) AS completed_qty,
+    ROUND(ps.total_completed_qty * 100.0 / NULLIF(ps.total_planned_qty, 0), 1) AS production_completion_rate,
+    
+    -- 人效板块
+    ls.worker_count AS active_worker_count,
+    ROUND(ls.total_work_minutes / 60.0, 1) AS total_work_hours,
+    ROUND(ls.total_output_qty, 0) AS total_output,
+    ROUND(ls.total_output_qty / NULLIF(ls.worker_count, 0), 1) AS output_per_worker,
+    ROUND(ls.total_output_qty / NULLIF(ls.total_work_minutes / 60.0, 0), 2) AS output_per_hour,
+    
+    -- 质量板块
+    qs.inspection_count AS qc_batch_count,
+    ROUND(qs.total_pass_qty, 0) AS pass_qty,
+    ROUND(qs.total_fail_qty, 0) AS fail_qty,
+    ROUND(qs.total_pass_qty * 100.0 / NULLIF(qs.total_pass_qty + qs.total_fail_qty, 0), 2) AS pass_rate,
+    ROUND(qs.total_fail_qty * 100.0 / NULLIF(qs.total_pass_qty + qs.total_fail_qty, 0), 2) AS defect_rate,
+    scr.scrap_count AS scrap_record_count,
+    
+    -- 财务板块
+    ar.receipt_count AS ar_receipt_count,
+    ROUND(ar.total_receipt_amount, 2) AS total_ar_amount,
+    ap.payment_count AS ap_payment_count,
+    ROUND(ap.total_payment_amount, 2) AS total_ap_amount,
+    ROUND(ar.total_receipt_amount - ap.total_payment_amount, 2) AS net_cash_flow,
+    inv.invoice_count AS invoice_count,
+    ROUND(inv.total_invoice_amount, 2) AS total_invoice_amount,
+    
+    -- 物流板块
+    sh.shipment_count AS shipment_count,
+    ROUND(sh.total_shipment_amount, 2) AS total_shipment_amount,
+    pur.purchase_order_count AS purchase_order_count,
+    
+    -- 售后板块
+    ret.return_count AS return_count,
+    ROUND(ret.total_return_amount, 2) AS total_return_amount,
+    ROUND(ret.total_return_amount * 100.0 / NULLIF(ss.total_sales_amount, 0), 2) AS return_rate,
+    
+    -- 综合健康度评估
+    CASE 
+        WHEN (qs.total_pass_qty * 100.0 / NULLIF(qs.total_pass_qty + qs.total_fail_qty, 0)) >= 95
+             AND (ps.total_completed_qty * 100.0 / NULLIF(ps.total_planned_qty, 0)) >= 80
+             AND (ret.total_return_amount * 100.0 / NULLIF(ss.total_sales_amount, 0)) < 5
+        THEN 'EXCELLENT'
+        WHEN (qs.total_pass_qty * 100.0 / NULLIF(qs.total_pass_qty + qs.total_fail_qty, 0)) >= 90
+             AND (ps.total_completed_qty * 100.0 / NULLIF(ps.total_planned_qty, 0)) >= 60
+             AND (ret.total_return_amount * 100.0 / NULLIF(ss.total_sales_amount, 0)) < 10
+        THEN 'GOOD'
+        ELSE 'WARNING'
+    END AS health_status
+
+FROM sales_summary ss
+CROSS JOIN production_summary ps
+CROSS JOIN ar_summary ar
+CROSS JOIN ap_summary ap
+CROSS JOIN invoice_summary inv
+CROSS JOIN return_summary ret
+CROSS JOIN shipment_summary sh
+CROSS JOIN purchase_summary pur
+CROSS JOIN quality_summary qs
+CROSS JOIN labor_summary ls
+CROSS JOIN scrap_summary scr;
+
+
+-- =====================================================
+-- 补充查询1：本月 vs 上月对比分析
+-- =====================================================
+WITH 
+current_month AS (
+    SELECT 
+        'current_month' AS period,
+        COUNT(*) AS order_count,
+        SUM(deal_amount) AS sales_amount
+    FROM fact_sales_order
+    WHERE DATE_TRUNC('month', order_date_utc::timestamp) = DATE_TRUNC('month', CURRENT_DATE)
+),
+last_month AS (
+    SELECT 
+        'last_month' AS period,
+        COUNT(*) AS order_count,
+        SUM(deal_amount) AS sales_amount
+    FROM fact_sales_order
+    WHERE DATE_TRUNC('month', order_date_utc::timestamp) = DATE_TRUNC('month', CURRENT_DATE - INTERVAL '1 month')
+)
+SELECT 
+    period,
+    order_count,
+    ROUND(sales_amount, 2) AS sales_amount
+FROM current_month
+UNION ALL
+SELECT * FROM last_month;
+
+
+-- =====================================================
+-- 补充查询2：客户贡献度TOP10
+-- =====================================================
+SELECT 
+    c.customer_name,
+    COUNT(so.sales_order_id) AS order_count,
+    ROUND(SUM(so.deal_amount), 2) AS total_order_amount,
+    ROUND(SUM(so.deal_amount) * 100.0 / (SELECT SUM(deal_amount) FROM fact_sales_order), 2) AS contribution_rate,
+    SUM(CASE WHEN so.payment_status = 'PAID' THEN 1 ELSE 0 END) AS paid_order_count,
+    SUM(CASE WHEN so.payment_status = 'UNPAID' THEN so.deal_amount ELSE 0 END) AS receivable_amount
+FROM fact_sales_order so
+INNER JOIN dim_customer c ON so.customer_id = c.customer_id AND c.is_current = 't'
+GROUP BY c.customer_name
+ORDER BY total_order_amount DESC
+LIMIT 10;
+
+
+-- =====================================================
+-- 补充查询3：产品类别业绩分析
+-- =====================================================
+SELECT 
+    p.product_category,
+    COUNT(DISTINCT wo.work_order_id) AS work_order_count,
+    ROUND(SUM(wo.planned_qty), 0) AS planned_qty,
+    ROUND(SUM(wo.completed_qty), 0) AS completed_qty,
+    ROUND(SUM(wo.completed_qty) * 100.0 / NULLIF(SUM(wo.planned_qty), 0), 1) AS completion_rate,
+    COUNT(DISTINCT lr.worker_name) AS worker_count,
+    ROUND(SUM(lr.duration_minutes) / 60.0, 1) AS total_work_hours
+FROM dim_product p
+LEFT JOIN fact_work_order wo ON p.product_id = wo.product_id
+LEFT JOIN fact_labor_report lr ON p.product_id = lr.product_id
+WHERE p.is_current = 't'
+GROUP BY p.product_category
+ORDER BY completed_qty DESC;
+
+
+-- =====================================================
+-- 补充查询4：关键预警指标
+-- =====================================================
+SELECT 
+    'warning_metrics' AS category,
+    'unpaid_order_amount' AS metric_name,
+    ROUND(SUM(CASE WHEN payment_status = 'UNPAID' THEN deal_amount ELSE 0 END), 2) AS current_value,
+    50000 AS threshold,
+    CASE 
+        WHEN SUM(CASE WHEN payment_status = 'UNPAID' THEN deal_amount ELSE 0 END) > 50000 
+        THEN 'EXCEEDED' ELSE 'NORMAL' 
+    END AS status
+FROM fact_sales_order
+
+UNION ALL
+
+SELECT 
+    'warning_metrics',
+    'defect_rate_pct',
+    ROUND(SUM(fail_qty) * 100.0 / NULLIF(SUM(pass_qty) + SUM(fail_qty), 0), 2),
+    5,
+    CASE 
+        WHEN SUM(fail_qty) * 100.0 / NULLIF(SUM(pass_qty) + SUM(fail_qty), 0) > 5 
+        THEN 'EXCEEDED' ELSE 'NORMAL' 
+    END
+FROM fact_quality_inspection
+
+UNION ALL
+
+SELECT 
+    'warning_metrics',
+    'production_completion_rate',
+    ROUND(SUM(completed_qty) * 100.0 / NULLIF(SUM(planned_qty), 0), 2),
+    70,
+    CASE 
+        WHEN SUM(completed_qty) * 100.0 / NULLIF(SUM(planned_qty), 0) < 70 
+        THEN 'LOW' ELSE 'NORMAL' 
+    END
+FROM fact_work_order
+
+UNION ALL
+
+SELECT 
+    'warning_metrics',
+    'return_rate_pct',
+    ROUND((SELECT SUM(amount) FROM fact_sales_return) * 100.0 / 
+          NULLIF((SELECT SUM(deal_amount) FROM fact_sales_order), 0), 2),
+    5,
+    CASE 
+        WHEN (SELECT SUM(amount) FROM fact_sales_return) * 100.0 / 
+             NULLIF((SELECT SUM(deal_amount) FROM fact_sales_order), 0) > 5 
+        THEN 'EXCEEDED' ELSE 'NORMAL' 
+    END;
+
+
+-- =====================================================
+-- 补充查询5：月度趋势汇总
+-- =====================================================
+SELECT 
+    TO_CHAR(DATE_TRUNC('month', order_date_utc::timestamp), 'YYYY-MM') AS month,
+    COUNT(*) AS order_count,
+    ROUND(SUM(deal_amount), 2) AS sales_amount,
+    ROUND(AVG(deal_amount), 2) AS avg_order_amount,
+    SUM(CASE WHEN payment_status = 'PAID' THEN 1 ELSE 0 END) AS paid_count,
+    SUM(CASE WHEN payment_status = 'UNPAID' THEN 1 ELSE 0 END) AS unpaid_count
+FROM fact_sales_order
+GROUP BY DATE_TRUNC('month', order_date_utc::timestamp)
+ORDER BY month DESC
+LIMIT 12;

lzwcai_mcpskills_analyzeOrder/人效产值损耗三维模型仪表盘.sql

@@ -0,0 +1,193 @@
+-- =====================================================
+-- 人效-产值-损耗三维模型仪表盘SQL
+-- Efficiency-Output-Loss 3D Model Dashboard
+-- 数据库: PostgreSQL
+-- 维度: 产品类别(化工/机械/电子)作为部门维度
+-- =====================================================
+
+-- 1. 部门级综合仪表盘（主查询）
+WITH 
+labor_stats AS (
+    SELECT 
+        p.product_category AS department,
+        COUNT(DISTINCT lr.worker_name) AS worker_count,
+        SUM(lr.duration_minutes) AS total_work_minutes,
+        SUM(lr.report_qty) AS total_output_qty,
+        COUNT(DISTINCT lr.work_order_number) AS work_order_count
+    FROM fact_labor_report lr
+    INNER JOIN dim_product p ON lr.product_id = p.product_id AND p.is_current = 't'
+    GROUP BY p.product_category
+),
+
+work_order_stats AS (
+    SELECT 
+        p.product_category AS department,
+        COUNT(*) AS total_work_orders,
+        SUM(wo.planned_qty) AS total_planned_qty,
+        SUM(wo.completed_qty) AS total_completed_qty,
+        SUM(CASE WHEN wo.status = 'CLOSED' THEN 1 ELSE 0 END) AS closed_orders,
+        SUM(CASE WHEN wo.status = 'STARTED' THEN 1 ELSE 0 END) AS started_orders,
+        SUM(CASE WHEN wo.status = 'OPEN' THEN 1 ELSE 0 END) AS open_orders
+    FROM fact_work_order wo
+    INNER JOIN dim_product p ON wo.product_id = p.product_id AND p.is_current = 't'
+    GROUP BY p.product_category
+),
+
+quality_stats AS (
+    SELECT 
+        p.product_category AS department,
+        SUM(qi.pass_qty) AS total_pass_qty,
+        SUM(qi.fail_qty) AS total_fail_qty,
+        COUNT(*) AS inspection_count
+    FROM fact_quality_inspection qi
+    INNER JOIN dim_product p ON qi.product_id = p.product_id AND p.is_current = 't'
+    GROUP BY p.product_category
+),
+
+sales_stats AS (
+    SELECT 
+        AVG(deal_amount) AS avg_order_amount,
+        SUM(deal_amount) AS total_sales_amount,
+        COUNT(*) AS order_count
+    FROM fact_sales_order
+),
+
+scrap_stats AS (
+    SELECT COUNT(*) AS total_scrap_count
+    FROM fact_scrap
+)
+
+SELECT 
+    ls.department,
+    
+    -- 人效维度
+    ls.worker_count,
+    ROUND(ls.total_work_minutes / 60.0, 2) AS total_work_hours,
+    ls.total_output_qty,
+    ROUND(ls.total_output_qty / NULLIF(ls.worker_count, 0), 2) AS output_per_worker,
+    ROUND(ls.total_output_qty / NULLIF(ls.total_work_minutes / 60.0, 0), 2) AS output_per_hour,
+    ROUND(
+        ls.total_output_qty / NULLIF(ls.worker_count, 0) / NULLIF(ls.total_work_minutes / 60.0 / ls.worker_count, 0), 
+        2
+    ) AS efficiency_index,
+    
+    -- 产值维度
+    ws.total_planned_qty AS planned_qty,
+    ws.total_completed_qty AS completed_qty,
+    ROUND(ws.total_completed_qty / NULLIF(ws.total_planned_qty, 0) * 100, 2) AS plan_completion_rate,
+    ROUND(ws.total_completed_qty * ss.avg_order_amount / 100, 2) AS estimated_output_value,
+    ROUND(ws.total_completed_qty * ss.avg_order_amount / 100 / NULLIF(ls.worker_count, 0), 2) AS output_value_per_worker,
+    
+    -- 损耗维度
+    qs.total_pass_qty AS qc_pass_qty,
+    qs.total_fail_qty AS qc_fail_qty,
+    ROUND(qs.total_fail_qty / NULLIF(qs.total_pass_qty + qs.total_fail_qty, 0) * 100, 2) AS defect_rate,
+    ROUND((ws.total_planned_qty - ws.total_completed_qty) / NULLIF(ws.total_planned_qty, 0) * 100, 2) AS production_loss_rate,
+    
+    -- 综合评分
+    ROUND(
+        (ls.total_output_qty / NULLIF(ls.worker_count, 0) / NULLIF(ls.total_work_minutes / 60.0 / ls.worker_count, 0)) * 0.4 +
+        (ws.total_completed_qty / NULLIF(ws.total_planned_qty, 0) * 100) * 0.35 +
+        (qs.total_pass_qty / NULLIF(qs.total_pass_qty + qs.total_fail_qty, 0) * 100) * 0.25,
+        2
+    ) AS performance_score,
+    
+    -- 预警等级
+    CASE 
+        WHEN (qs.total_fail_qty / NULLIF(qs.total_pass_qty + qs.total_fail_qty, 0) * 100) >= 10 
+             OR (ws.total_completed_qty / NULLIF(ws.total_planned_qty, 0) * 100) < 50 
+        THEN 'RED'
+        WHEN (qs.total_fail_qty / NULLIF(qs.total_pass_qty + qs.total_fail_qty, 0) * 100) >= 5 
+             OR (ws.total_completed_qty / NULLIF(ws.total_planned_qty, 0) * 100) < 70 
+        THEN 'YELLOW'
+        ELSE 'GREEN'
+    END AS warning_level
+
+FROM labor_stats ls
+LEFT JOIN work_order_stats ws ON ls.department = ws.department
+LEFT JOIN quality_stats qs ON ls.department = qs.department
+CROSS JOIN sales_stats ss
+CROSS JOIN scrap_stats scr
+ORDER BY performance_score DESC;
+
+
+-- =====================================================
+-- 2. 人员级明细报表
+-- =====================================================
+SELECT 
+    lr.worker_name,
+    p.product_category AS department,
+    COUNT(DISTINCT lr.work_order_number) AS work_order_count,
+    SUM(lr.duration_minutes) AS total_work_minutes,
+    ROUND(SUM(lr.duration_minutes) / 60.0, 2) AS total_work_hours,
+    SUM(lr.report_qty) AS total_output,
+    ROUND(SUM(lr.report_qty) / NULLIF(SUM(lr.duration_minutes) / 60.0, 0), 2) AS output_per_hour,
+    RANK() OVER (PARTITION BY p.product_category ORDER BY SUM(lr.report_qty) DESC) AS dept_output_rank
+FROM fact_labor_report lr
+INNER JOIN dim_product p ON lr.product_id = p.product_id AND p.is_current = 't'
+GROUP BY lr.worker_name, p.product_category
+ORDER BY p.product_category, total_output DESC;
+
+
+-- =====================================================
+-- 3. 月度趋势分析
+-- =====================================================
+SELECT 
+    TO_CHAR(DATE_TRUNC('month', lr.event_time_utc::timestamp), 'YYYY-MM') AS month,
+    p.product_category AS department,
+    COUNT(DISTINCT lr.worker_name) AS active_worker_count,
+    SUM(lr.duration_minutes) AS total_work_minutes,
+    SUM(lr.report_qty) AS total_output,
+    ROUND(SUM(lr.report_qty) / NULLIF(COUNT(DISTINCT lr.worker_name), 0), 2) AS output_per_worker,
+    ROUND(SUM(lr.report_qty) / NULLIF(SUM(lr.duration_minutes) / 60.0, 0), 2) AS output_per_hour
+FROM fact_labor_report lr
+INNER JOIN dim_product p ON lr.product_id = p.product_id AND p.is_current = 't'
+GROUP BY DATE_TRUNC('month', lr.event_time_utc::timestamp), p.product_category
+ORDER BY month DESC, p.product_category;
+
+
+-- =====================================================
+-- 4. 产品级损耗分析
+-- =====================================================
+SELECT 
+    p.product_category AS department,
+    p.product_name,
+    p.product_code,
+    COALESCE(SUM(qi.pass_qty), 0) AS pass_qty,
+    COALESCE(SUM(qi.fail_qty), 0) AS fail_qty,
+    ROUND(
+        COALESCE(SUM(qi.fail_qty), 0) / 
+        NULLIF(COALESCE(SUM(qi.pass_qty), 0) + COALESCE(SUM(qi.fail_qty), 0), 0) * 100, 
+        2
+    ) AS defect_rate,
+    CASE 
+        WHEN COALESCE(SUM(qi.fail_qty), 0) / 
+             NULLIF(COALESCE(SUM(qi.pass_qty), 0) + COALESCE(SUM(qi.fail_qty), 0), 0) * 100 >= 10 
+        THEN 'HIGH'
+        WHEN COALESCE(SUM(qi.fail_qty), 0) / 
+             NULLIF(COALESCE(SUM(qi.pass_qty), 0) + COALESCE(SUM(qi.fail_qty), 0), 0) * 100 >= 5 
+        THEN 'MEDIUM'
+        ELSE 'LOW'
+    END AS loss_level
+FROM dim_product p
+LEFT JOIN fact_quality_inspection qi ON p.product_id = qi.product_id
+WHERE p.is_current = 't'
+GROUP BY p.product_category, p.product_name, p.product_code
+ORDER BY defect_rate DESC NULLS LAST;
+
+
+-- =====================================================
+-- 5. 工单完成率分析
+-- =====================================================
+SELECT 
+    p.product_category AS department,
+    wo.status,
+    COUNT(*) AS order_count,
+    SUM(wo.planned_qty) AS total_planned,
+    SUM(wo.completed_qty) AS total_completed,
+    ROUND(SUM(wo.completed_qty) / NULLIF(SUM(wo.planned_qty), 0) * 100, 2) AS completion_rate,
+    ROUND(AVG(wo.completed_qty / NULLIF(wo.planned_qty, 0) * 100), 2) AS avg_completion_rate
+FROM fact_work_order wo
+INNER JOIN dim_product p ON wo.product_id = p.product_id AND p.is_current = 't'
+GROUP BY p.product_category, wo.status
+ORDER BY p.product_category, wo.status;

lzwcai_mcpskills_analyzeOrder/供应链风险预警.sql

@@ -0,0 +1,416 @@
+-- =====================================================
+-- 供应链风险预警SQL
+-- Supply Chain Risk Warning
+-- 数据库: PostgreSQL
+-- =====================================================
+
+-- =====================================================
+-- 1. 供应商历史交期表现分析
+-- =====================================================
+WITH supplier_delivery AS (
+    SELECT 
+        po.supplier_id,
+        COUNT(*) AS order_count,
+        COUNT(pr.purchase_receipt_id) AS receipt_count,
+        AVG(
+            CASE WHEN pr.doc_date_utc IS NOT NULL AND po.doc_date_utc IS NOT NULL
+                 THEN EXTRACT(DAY FROM pr.doc_date_utc::timestamp - po.doc_date_utc::timestamp)
+                 ELSE NULL END
+        ) AS avg_delivery_days,
+        MAX(
+            CASE WHEN pr.doc_date_utc IS NOT NULL AND po.doc_date_utc IS NOT NULL
+                 THEN EXTRACT(DAY FROM pr.doc_date_utc::timestamp - po.doc_date_utc::timestamp)
+                 ELSE NULL END
+        ) AS max_delivery_days,
+        STDDEV(
+            CASE WHEN pr.doc_date_utc IS NOT NULL AND po.doc_date_utc IS NOT NULL
+                 THEN EXTRACT(DAY FROM pr.doc_date_utc::timestamp - po.doc_date_utc::timestamp)
+                 ELSE NULL END
+        ) AS stddev_delivery_days
+    FROM fact_purchase_order po
+    LEFT JOIN fact_purchase_receipt pr ON po.supplier_id = pr.supplier_id
+    GROUP BY po.supplier_id
+),
+
+supplier_quality AS (
+    SELECT 
+        pr.supplier_id,
+        COUNT(pr.purchase_receipt_id) AS total_receipts,
+        SUM(pr.receipt_qty_total) AS total_qty,
+        SUM(pr.amount) AS total_amount
+    FROM fact_purchase_receipt pr
+    GROUP BY pr.supplier_id
+),
+
+supplier_returns AS (
+    SELECT 
+        pret.supplier_id,
+        COUNT(*) AS return_count,
+        SUM(CASE WHEN pret.return_reason = '损坏' THEN 1 ELSE 0 END) AS damage_count
+    FROM fact_purchase_return pret
+    GROUP BY pret.supplier_id
+),
+
+supplier_quality_rate AS (
+    SELECT 
+        sq.supplier_id,
+        sq.total_receipts,
+        sq.total_qty,
+        sq.total_amount,
+        COALESCE(sr.return_count, 0) AS return_count,
+        COALESCE(sr.damage_count, 0) AS damage_count,
+        CASE WHEN sq.total_receipts > 0 
+             THEN (sq.total_receipts - COALESCE(sr.return_count, 0)) * 100.0 / sq.total_receipts
+             ELSE 100 END AS quality_rate
+    FROM supplier_quality sq
+    LEFT JOIN supplier_returns sr ON sq.supplier_id = sr.supplier_id
+),
+
+supplier_risk AS (
+    SELECT 
+        s.supplier_id,
+        s.supplier_name,
+        s.supplier_category,
+        COALESCE(sd.order_count, 0) AS order_count,
+        COALESCE(sd.receipt_count, 0) AS receipt_count,
+        ROUND(COALESCE(sd.avg_delivery_days, 0), 1) AS avg_delivery_days,
+        ROUND(COALESCE(sd.max_delivery_days, 0), 1) AS max_delivery_days,
+        ROUND(COALESCE(sd.stddev_delivery_days, 0), 1) AS delivery_volatility,
+        COALESCE(sqr.total_receipts, 0) AS total_receipts,
+        COALESCE(sqr.return_count, 0) AS return_count,
+        ROUND(COALESCE(sqr.quality_rate, 100), 1) AS quality_rate,
+        CASE 
+            WHEN COALESCE(sd.avg_delivery_days, 0) > 60 THEN 40
+            WHEN COALESCE(sd.avg_delivery_days, 0) > 45 THEN 30
+            WHEN COALESCE(sd.avg_delivery_days, 0) > 30 THEN 20
+            ELSE 10
+        END +
+        CASE 
+            WHEN COALESCE(sd.stddev_delivery_days, 0) > 20 THEN 30
+            WHEN COALESCE(sd.stddev_delivery_days, 0) > 10 THEN 20
+            ELSE 10
+        END AS delivery_risk_score,
+        CASE 
+            WHEN COALESCE(sqr.quality_rate, 100) < 80 THEN 50
+            WHEN COALESCE(sqr.quality_rate, 100) < 90 THEN 30
+            WHEN COALESCE(sqr.quality_rate, 100) < 95 THEN 15
+            ELSE 5
+        END AS quality_risk_score
+    FROM dim_supplier s
+    LEFT JOIN supplier_delivery sd ON s.supplier_id = sd.supplier_id
+    LEFT JOIN supplier_quality_rate sqr ON s.supplier_id = sqr.supplier_id
+    WHERE s.is_current = 't'
+),
+
+supplier_risk_level AS (
+    SELECT 
+        *,
+        delivery_risk_score + quality_risk_score AS total_risk_score,
+        CASE 
+            WHEN delivery_risk_score + quality_risk_score >= 80 THEN 'HIGH'
+            WHEN delivery_risk_score + quality_risk_score >= 50 THEN 'MEDIUM'
+            ELSE 'LOW'
+        END AS risk_level,
+        CASE 
+            WHEN delivery_risk_score >= 50 AND quality_risk_score >= 30 THEN 'DELIVERY_AND_QUALITY'
+            WHEN delivery_risk_score >= 50 THEN 'DELIVERY_ISSUE'
+            WHEN quality_risk_score >= 30 THEN 'QUALITY_ISSUE'
+            ELSE 'NORMAL'
+        END AS risk_pattern
+    FROM supplier_risk
+)
+
+SELECT 
+    supplier_name,
+    supplier_category,
+    order_count,
+    receipt_count,
+    avg_delivery_days,
+    max_delivery_days,
+    delivery_volatility,
+    total_receipts,
+    return_count,
+    quality_rate,
+    delivery_risk_score,
+    quality_risk_score,
+    total_risk_score,
+    risk_level,
+    risk_pattern
+FROM supplier_risk_level
+ORDER BY total_risk_score DESC, supplier_name;
+
+
+-- =====================================================
+-- 补充查询1：高风险订单预警清单
+-- =====================================================
+WITH supplier_risk_info AS (
+    SELECT 
+        s.supplier_id,
+        s.supplier_name,
+        s.supplier_category,
+        COALESCE(
+            (SELECT AVG(EXTRACT(DAY FROM pr.doc_date_utc::timestamp - po2.doc_date_utc::timestamp))
+             FROM fact_purchase_order po2
+             LEFT JOIN fact_purchase_receipt pr ON po2.supplier_id = pr.supplier_id
+             WHERE po2.supplier_id = s.supplier_id
+               AND pr.doc_date_utc IS NOT NULL), 0
+        ) AS avg_delivery_days,
+        COALESCE(
+            (SELECT COUNT(*) FROM fact_purchase_return pret WHERE pret.supplier_id = s.supplier_id), 0
+        ) AS return_count,
+        COALESCE(
+            (SELECT COUNT(*) FROM fact_purchase_receipt pr WHERE pr.supplier_id = s.supplier_id), 0
+        ) AS receipt_count
+    FROM dim_supplier s
+    WHERE s.is_current = 't'
+),
+order_risk AS (
+    SELECT 
+        po.purchase_order_number,
+        po.doc_date_utc::date AS order_date,
+        sri.supplier_name,
+        sri.supplier_category,
+        ROUND(sri.avg_delivery_days, 1) AS supplier_avg_days,
+        sri.return_count,
+        sri.receipt_count,
+        CASE WHEN sri.receipt_count > 0 
+             THEN ROUND((sri.receipt_count - sri.return_count) * 100.0 / sri.receipt_count, 1)
+             ELSE 100 END AS quality_rate,
+        EXTRACT(DAY FROM CURRENT_TIMESTAMP - po.doc_date_utc::timestamp) AS days_since_order,
+        CASE 
+            WHEN sri.avg_delivery_days > 45 AND sri.return_count > 0 THEN 'HIGH'
+            WHEN sri.avg_delivery_days > 45 OR sri.return_count > 0 THEN 'MEDIUM'
+            ELSE 'LOW'
+        END AS risk_level
+    FROM fact_purchase_order po
+    JOIN supplier_risk_info sri ON po.supplier_id = sri.supplier_id
+)
+SELECT 
+    purchase_order_number,
+    order_date,
+    supplier_name,
+    supplier_category,
+    supplier_avg_days,
+    quality_rate,
+    days_since_order,
+    risk_level,
+    CASE 
+        WHEN risk_level = 'HIGH' THEN 'IMMEDIATE_FOLLOWUP'
+        WHEN risk_level = 'MEDIUM' THEN 'MONITOR'
+        ELSE 'NORMAL'
+    END AS action_required
+FROM order_risk
+WHERE risk_level IN ('HIGH', 'MEDIUM')
+ORDER BY 
+    CASE risk_level WHEN 'HIGH' THEN 1 WHEN 'MEDIUM' THEN 2 ELSE 3 END,
+    days_since_order DESC;
+
+
+-- =====================================================
+-- 补充查询2：供应商类别风险分布
+-- =====================================================
+WITH supplier_stats AS (
+    SELECT 
+        s.supplier_category,
+        COUNT(DISTINCT s.supplier_id) AS supplier_count,
+        COUNT(DISTINCT po.purchase_order_id) AS order_count,
+        COUNT(DISTINCT pr.purchase_receipt_id) AS receipt_count,
+        COUNT(DISTINCT pret.purchase_return_id) AS return_count,
+        SUM(pr.amount) AS total_amount
+    FROM dim_supplier s
+    LEFT JOIN fact_purchase_order po ON s.supplier_id = po.supplier_id
+    LEFT JOIN fact_purchase_receipt pr ON s.supplier_id = pr.supplier_id
+    LEFT JOIN fact_purchase_return pret ON s.supplier_id = pret.supplier_id
+    WHERE s.is_current = 't'
+    GROUP BY s.supplier_category
+)
+SELECT 
+    supplier_category,
+    supplier_count,
+    order_count,
+    receipt_count,
+    return_count,
+    CASE WHEN receipt_count > 0 
+         THEN ROUND((receipt_count - return_count) * 100.0 / receipt_count, 1)
+         ELSE 100 END AS quality_rate,
+    ROUND(COALESCE(total_amount, 0), 2) AS purchase_amount,
+    CASE 
+        WHEN receipt_count > 0 AND return_count * 100.0 / receipt_count > 10 THEN 'HIGH'
+        WHEN receipt_count > 0 AND return_count * 100.0 / receipt_count > 5 THEN 'MEDIUM'
+        ELSE 'LOW'
+    END AS category_risk_level
+FROM supplier_stats
+ORDER BY return_count DESC;
+
+
+-- =====================================================
+-- 补充查询3：近期交期异常趋势
+-- =====================================================
+WITH monthly_delivery AS (
+    SELECT 
+        DATE_TRUNC('month', pr.doc_date_utc::timestamp)::date AS month_start,
+        COUNT(*) AS receipt_count,
+        AVG(EXTRACT(DAY FROM pr.doc_date_utc::timestamp - po.doc_date_utc::timestamp)) AS avg_delivery_days
+    FROM fact_purchase_receipt pr
+    JOIN fact_purchase_order po ON pr.supplier_id = po.supplier_id
+    WHERE pr.doc_date_utc IS NOT NULL AND po.doc_date_utc IS NOT NULL
+    GROUP BY DATE_TRUNC('month', pr.doc_date_utc::timestamp)
+),
+monthly_returns AS (
+    SELECT 
+        DATE_TRUNC('month', pret.doc_date_utc::timestamp)::date AS month_start,
+        COUNT(*) AS return_count
+    FROM fact_purchase_return pret
+    GROUP BY DATE_TRUNC('month', pret.doc_date_utc::timestamp)
+),
+monthly_combined AS (
+    SELECT 
+        md.month_start,
+        md.receipt_count,
+        ROUND(md.avg_delivery_days, 1) AS avg_delivery_days,
+        COALESCE(mr.return_count, 0) AS return_count
+    FROM monthly_delivery md
+    LEFT JOIN monthly_returns mr ON md.month_start = mr.month_start
+),
+with_trend AS (
+    SELECT 
+        *,
+        LAG(avg_delivery_days, 1) OVER (ORDER BY month_start) AS prev_avg_days,
+        LAG(return_count, 1) OVER (ORDER BY month_start) AS prev_return_count
+    FROM monthly_combined
+)
+SELECT 
+    month_start,
+    receipt_count,
+    avg_delivery_days,
+    return_count,
+    CASE WHEN receipt_count > 0 
+         THEN ROUND(return_count * 100.0 / receipt_count, 1)
+         ELSE 0 END AS return_rate,
+    CASE 
+        WHEN prev_avg_days IS NULL THEN 'NONE'
+        WHEN avg_delivery_days > prev_avg_days * 1.1 THEN 'INCREASING'
+        WHEN avg_delivery_days < prev_avg_days * 0.9 THEN 'DECREASING'
+        ELSE 'STABLE'
+    END AS delivery_trend,
+    CASE 
+        WHEN prev_return_count IS NULL THEN 'NONE'
+        WHEN return_count > prev_return_count THEN 'INCREASING'
+        WHEN return_count < prev_return_count THEN 'DECREASING'
+        ELSE 'STABLE'
+    END AS return_trend
+FROM with_trend
+ORDER BY month_start DESC;
+
+
+-- =====================================================
+-- 补充查询4：风险预警汇总看板
+-- =====================================================
+WITH risk_summary AS (
+    SELECT 
+        s.supplier_id,
+        s.supplier_name,
+        COALESCE(
+            (SELECT COUNT(*) FROM fact_purchase_return pret WHERE pret.supplier_id = s.supplier_id), 0
+        ) AS return_count,
+        COALESCE(
+            (SELECT COUNT(*) FROM fact_purchase_receipt pr WHERE pr.supplier_id = s.supplier_id), 0
+        ) AS receipt_count
+    FROM dim_supplier s
+    WHERE s.is_current = 't'
+),
+risk_counts AS (
+    SELECT 
+        SUM(CASE WHEN receipt_count > 0 AND return_count * 100.0 / receipt_count > 10 THEN 1 ELSE 0 END) AS high_risk_suppliers,
+        SUM(CASE WHEN receipt_count > 0 AND return_count * 100.0 / receipt_count BETWEEN 5 AND 10 THEN 1 ELSE 0 END) AS medium_risk_suppliers,
+        SUM(CASE WHEN receipt_count = 0 OR return_count * 100.0 / receipt_count < 5 THEN 1 ELSE 0 END) AS low_risk_suppliers,
+        COUNT(*) AS total_suppliers
+    FROM risk_summary
+),
+order_stats AS (
+    SELECT 
+        COUNT(*) AS pending_orders,
+        COUNT(CASE WHEN EXTRACT(DAY FROM CURRENT_TIMESTAMP - doc_date_utc::timestamp) > 30 THEN 1 END) AS overdue_orders
+    FROM fact_purchase_order
+),
+return_stats AS (
+    SELECT 
+        COUNT(*) AS total_returns,
+        COUNT(CASE WHEN doc_date_utc::timestamp >= CURRENT_DATE - INTERVAL '30 days' THEN 1 END) AS recent_returns
+    FROM fact_purchase_return
+)
+SELECT 
+    'high_risk_suppliers' AS metric_name,
+    rc.high_risk_suppliers::text AS metric_value,
+    CASE WHEN rc.high_risk_suppliers > 0 THEN 'ATTENTION_NEEDED' ELSE 'NORMAL' END AS status
+FROM risk_counts rc
+UNION ALL
+SELECT 'medium_risk_suppliers', rc.medium_risk_suppliers::text,
+    CASE WHEN rc.medium_risk_suppliers > 2 THEN 'MONITOR' ELSE 'NORMAL' END
+FROM risk_counts rc
+UNION ALL
+SELECT 'low_risk_suppliers', rc.low_risk_suppliers::text, 'NORMAL'
+FROM risk_counts rc
+UNION ALL
+SELECT 'pending_orders', os.pending_orders::text,
+    CASE WHEN os.pending_orders > 20 THEN 'BACKLOG' ELSE 'NORMAL' END
+FROM order_stats os
+UNION ALL
+SELECT 'overdue_orders_30d', os.overdue_orders::text,
+    CASE WHEN os.overdue_orders > 5 THEN 'DELIVERY_WARNING' ELSE 'NORMAL' END
+FROM order_stats os
+UNION ALL
+SELECT 'recent_returns_30d', rs.recent_returns::text,
+    CASE WHEN rs.recent_returns > 3 THEN 'QUALITY_WARNING' ELSE 'NORMAL' END
+FROM return_stats rs;
+
+
+-- =====================================================
+-- 补充查询5：供应商风险排行榜
+-- =====================================================
+WITH supplier_metrics AS (
+    SELECT 
+        s.supplier_id,
+        s.supplier_name,
+        s.supplier_category,
+        COUNT(DISTINCT po.purchase_order_id) AS order_count,
+        COUNT(DISTINCT pr.purchase_receipt_id) AS receipt_count,
+        COUNT(DISTINCT pret.purchase_return_id) AS return_count,
+        SUM(pr.amount) AS total_amount
+    FROM dim_supplier s
+    LEFT JOIN fact_purchase_order po ON s.supplier_id = po.supplier_id
+    LEFT JOIN fact_purchase_receipt pr ON s.supplier_id = pr.supplier_id
+    LEFT JOIN fact_purchase_return pret ON s.supplier_id = pret.supplier_id
+    WHERE s.is_current = 't'
+    GROUP BY s.supplier_id, s.supplier_name, s.supplier_category
+),
+ranked_suppliers AS (
+    SELECT 
+        *,
+        CASE WHEN receipt_count > 0 
+             THEN ROUND(return_count * 100.0 / receipt_count, 1)
+             ELSE 0 END AS return_rate,
+        ROW_NUMBER() OVER (ORDER BY 
+            CASE WHEN receipt_count > 0 THEN return_count * 1.0 / receipt_count ELSE 0 END DESC,
+            return_count DESC
+        ) AS risk_rank
+    FROM supplier_metrics
+)
+SELECT 
+    risk_rank,
+    supplier_name,
+    supplier_category,
+    order_count,
+    receipt_count,
+    return_count,
+    return_rate,
+    ROUND(COALESCE(total_amount, 0), 2) AS purchase_amount,
+    CASE 
+        WHEN return_rate > 10 THEN 'HIGH_RISK'
+        WHEN return_rate > 5 THEN 'MEDIUM_RISK'
+        WHEN return_count > 0 THEN 'LOW_RISK'
+        ELSE 'EXCELLENT'
+    END AS risk_assessment
+FROM ranked_suppliers
+ORDER BY risk_rank
+LIMIT 20;

lzwcai_mcpskills_analyzeOrder/工单执行进度与异常节点.sql

@@ -0,0 +1,409 @@
+-- =====================================================
+-- 工单执行进度与异常节点SQL
+-- 数据库: PostgreSQL
+-- 实时拉取工单数据，动态映射订单各环节状态
+-- =====================================================
+
+-- =====================================================
+-- 1. 工单执行进度主视图
+-- =====================================================
+WITH work_order_base AS (
+    SELECT 
+        wo.work_order_id,
+        wo.work_order_number,
+        wo.product_id,
+        wo.status,
+        wo.planned_qty,
+        wo.completed_qty,
+        wo.event_time_utc::timestamp AS start_time,
+        wo.last_updated_utc::timestamp AS last_update,
+        wo.source_system
+    FROM fact_work_order wo
+),
+
+product_info AS (
+    SELECT 
+        product_id,
+        product_name,
+        product_category
+    FROM dim_product
+    WHERE is_current = 't'
+),
+
+labor_summary AS (
+    SELECT 
+        work_order_number,
+        COUNT(DISTINCT worker_name) AS worker_count,
+        SUM(report_qty) AS total_report_qty,
+        SUM(duration_minutes) AS total_minutes,
+        MAX(event_time_utc::timestamp) AS last_report_time
+    FROM fact_labor_report
+    GROUP BY work_order_number
+),
+
+quality_summary AS (
+    SELECT 
+        work_order_number,
+        SUM(pass_qty) AS pass_qty,
+        SUM(fail_qty) AS fail_qty
+    FROM fact_quality_inspection
+    GROUP BY work_order_number
+),
+
+-- =====================================================
+-- 2. 工单进度计算与状态映射
+-- =====================================================
+work_order_progress AS (
+    SELECT 
+        wb.work_order_id,
+        wb.work_order_number,
+        p.product_name,
+        p.product_category,
+        wb.status AS raw_status,
+        
+        -- 状态映射
+        CASE wb.status
+            WHEN 'OPEN' THEN '待生产'
+            WHEN 'STARTED' THEN '生产中'
+            WHEN 'CLOSED' THEN '已完成'
+            ELSE '未知'
+        END AS status_name,
+        
+        wb.planned_qty,
+        wb.completed_qty,
+        
+        -- 完成进度
+        CASE WHEN wb.planned_qty > 0 
+             THEN ROUND(wb.completed_qty * 100.0 / wb.planned_qty, 1)
+             ELSE 0 END AS completion_rate,
+        
+        -- 剩余数量
+        GREATEST(wb.planned_qty - wb.completed_qty, 0) AS remaining_qty,
+        
+        wb.start_time,
+        wb.last_update,
+        
+        -- 已用时间(小时)
+        ROUND(EXTRACT(EPOCH FROM (CURRENT_TIMESTAMP - wb.start_time)) / 3600, 1) AS elapsed_hours,
+        
+        -- 报工信息
+        COALESCE(ls.worker_count, 0) AS worker_count,
+        COALESCE(ls.total_report_qty, 0) AS total_report_qty,
+        COALESCE(ls.total_minutes, 0) AS total_work_minutes,
+        ls.last_report_time,
+        
+        -- 质检信息
+        COALESCE(qs.pass_qty, 0) AS qc_pass_qty,
+        COALESCE(qs.fail_qty, 0) AS qc_fail_qty
+        
+    FROM work_order_base wb
+    LEFT JOIN product_info p ON wb.product_id = p.product_id
+    LEFT JOIN labor_summary ls ON wb.work_order_number = ls.work_order_number
+    LEFT JOIN quality_summary qs ON wb.work_order_number = qs.work_order_number
+),
+
+-- =====================================================
+-- 3. 异常节点检测
+-- =====================================================
+anomaly_detection AS (
+    SELECT 
+        *,
+        
+        -- 进度异常：进行中但完成率过低
+        CASE 
+            WHEN raw_status = 'STARTED' AND elapsed_hours > 48 AND completion_rate < 20 THEN '进度严重滞后'
+            WHEN raw_status = 'STARTED' AND elapsed_hours > 24 AND completion_rate < 30 THEN '进度滞后'
+            ELSE NULL
+        END AS progress_anomaly,
+        
+        -- 质量异常：废品率过高
+        CASE 
+            WHEN qc_pass_qty + qc_fail_qty > 0 
+                 AND qc_fail_qty * 100.0 / (qc_pass_qty + qc_fail_qty) > 10 THEN '质量异常'
+            ELSE NULL
+        END AS quality_anomaly,
+        
+        -- 报工异常：长时间无报工
+        CASE 
+            WHEN raw_status = 'STARTED' 
+                 AND last_report_time IS NOT NULL
+                 AND EXTRACT(EPOCH FROM (CURRENT_TIMESTAMP - last_report_time)) / 3600 > 24 THEN '报工停滞'
+            WHEN raw_status = 'STARTED' 
+                 AND last_report_time IS NULL 
+                 AND elapsed_hours > 24 THEN '无报工记录'
+            ELSE NULL
+        END AS labor_anomaly,
+        
+        -- 效率异常：人效过低
+        CASE 
+            WHEN total_work_minutes > 0 
+                 AND total_report_qty / (total_work_minutes / 60.0) < 5 THEN '效率偏低'
+            ELSE NULL
+        END AS efficiency_anomaly
+        
+    FROM work_order_progress
+)
+
+-- =====================================================
+-- 输出：工单执行进度明细
+-- =====================================================
+SELECT 
+    work_order_number AS "工单号",
+    product_name AS "产品名称",
+    product_category AS "产品类别",
+    status_name AS "状态",
+    planned_qty AS "计划数量",
+    completed_qty AS "完成数量",
+    remaining_qty AS "剩余数量",
+    completion_rate AS "完成率(%)",
+    worker_count AS "参与人数",
+    ROUND(total_work_minutes / 60.0, 1) AS "累计工时(小时)",
+    elapsed_hours AS "已用时间(小时)",
+    
+    -- 异常标记
+    COALESCE(progress_anomaly, '') || 
+    CASE WHEN progress_anomaly IS NOT NULL AND quality_anomaly IS NOT NULL THEN ',' ELSE '' END ||
+    COALESCE(quality_anomaly, '') ||
+    CASE WHEN (progress_anomaly IS NOT NULL OR quality_anomaly IS NOT NULL) AND labor_anomaly IS NOT NULL THEN ',' ELSE '' END ||
+    COALESCE(labor_anomaly, '') ||
+    CASE WHEN (progress_anomaly IS NOT NULL OR quality_anomaly IS NOT NULL OR labor_anomaly IS NOT NULL) AND efficiency_anomaly IS NOT NULL THEN ',' ELSE '' END ||
+    COALESCE(efficiency_anomaly, '') AS "异常标记",
+    
+    -- 风险等级
+    CASE 
+        WHEN progress_anomaly = '进度严重滞后' OR quality_anomaly IS NOT NULL THEN '高'
+        WHEN progress_anomaly = '进度滞后' OR labor_anomaly IS NOT NULL THEN '中'
+        WHEN efficiency_anomaly IS NOT NULL THEN '低'
+        ELSE '-'
+    END AS "风险等级"
+    
+FROM anomaly_detection
+ORDER BY 
+    CASE raw_status WHEN 'STARTED' THEN 1 WHEN 'OPEN' THEN 2 ELSE 3 END,
+    CASE WHEN progress_anomaly IS NOT NULL THEN 0 ELSE 1 END,
+    completion_rate ASC;
+
+
+-- =====================================================
+-- 补充查询1：工单状态分布汇总
+-- =====================================================
+WITH status_summary AS (
+    SELECT 
+        CASE status
+            WHEN 'OPEN' THEN '待生产'
+            WHEN 'STARTED' THEN '生产中'
+            WHEN 'CLOSED' THEN '已完成'
+            ELSE '未知'
+        END AS status_name,
+        status AS raw_status,
+        COUNT(*) AS order_count,
+        SUM(planned_qty) AS total_planned,
+        SUM(completed_qty) AS total_completed
+    FROM fact_work_order
+    GROUP BY status
+)
+SELECT 
+    status_name AS "状态",
+    order_count AS "工单数",
+    ROUND(order_count * 100.0 / SUM(order_count) OVER (), 1) AS "占比(%)",
+    ROUND(total_planned, 0) AS "计划总量",
+    ROUND(total_completed, 0) AS "完成总量",
+    CASE WHEN total_planned > 0 
+         THEN ROUND(total_completed * 100.0 / total_planned, 1)
+         ELSE 0 END AS "完成率(%)"
+FROM status_summary
+ORDER BY 
+    CASE raw_status WHEN 'STARTED' THEN 1 WHEN 'OPEN' THEN 2 ELSE 3 END;
+
+
+-- =====================================================
+-- 补充查询2：异常工单预警清单
+-- =====================================================
+WITH work_order_anomaly AS (
+    SELECT 
+        wo.work_order_number,
+        p.product_name,
+        wo.status,
+        wo.planned_qty,
+        wo.completed_qty,
+        CASE WHEN wo.planned_qty > 0 
+             THEN ROUND(wo.completed_qty * 100.0 / wo.planned_qty, 1)
+             ELSE 0 END AS completion_rate,
+        ROUND(EXTRACT(EPOCH FROM (CURRENT_TIMESTAMP - wo.event_time_utc::timestamp)) / 3600, 1) AS elapsed_hours,
+        (SELECT MAX(lr.event_time_utc::timestamp) 
+         FROM fact_labor_report lr 
+         WHERE lr.work_order_number = wo.work_order_number) AS last_report_time
+    FROM fact_work_order wo
+    LEFT JOIN dim_product p ON wo.product_id = p.product_id AND p.is_current = 't'
+    WHERE wo.status = 'STARTED'
+)
+SELECT 
+    work_order_number AS "工单号",
+    product_name AS "产品",
+    ROUND(planned_qty, 0) AS "计划数量",
+    ROUND(completed_qty, 0) AS "完成数量",
+    completion_rate AS "完成率(%)",
+    elapsed_hours AS "已用时间(小时)",
+    CASE 
+        WHEN elapsed_hours > 48 AND completion_rate < 20 THEN '进度严重滞后'
+        WHEN elapsed_hours > 24 AND completion_rate < 30 THEN '进度滞后'
+        WHEN last_report_time IS NULL AND elapsed_hours > 24 THEN '无报工记录'
+        WHEN last_report_time IS NOT NULL 
+             AND EXTRACT(EPOCH FROM (CURRENT_TIMESTAMP - last_report_time)) / 3600 > 24 THEN '报工停滞'
+        ELSE '正常'
+    END AS "异常类型",
+    CASE 
+        WHEN elapsed_hours > 48 AND completion_rate < 20 THEN '立即跟进，排查生产瓶颈'
+        WHEN elapsed_hours > 24 AND completion_rate < 30 THEN '关注进度，协调资源'
+        WHEN last_report_time IS NULL AND elapsed_hours > 24 THEN '确认工单是否已开工'
+        WHEN last_report_time IS NOT NULL 
+             AND EXTRACT(EPOCH FROM (CURRENT_TIMESTAMP - last_report_time)) / 3600 > 24 THEN '跟进报工情况'
+        ELSE '-'
+    END AS "处理建议"
+FROM work_order_anomaly
+WHERE elapsed_hours > 24 AND completion_rate < 50
+   OR (last_report_time IS NULL AND elapsed_hours > 24)
+   OR (last_report_time IS NOT NULL 
+       AND EXTRACT(EPOCH FROM (CURRENT_TIMESTAMP - last_report_time)) / 3600 > 24)
+ORDER BY 
+    CASE 
+        WHEN elapsed_hours > 48 AND completion_rate < 20 THEN 1
+        WHEN elapsed_hours > 24 AND completion_rate < 30 THEN 2
+        ELSE 3
+    END,
+    completion_rate ASC;
+
+
+-- =====================================================
+-- 补充查询3：产品类别执行进度汇总
+-- =====================================================
+SELECT 
+    p.product_category AS "产品类别",
+    COUNT(*) AS "工单数",
+    SUM(CASE WHEN wo.status = 'OPEN' THEN 1 ELSE 0 END) AS "待生产",
+    SUM(CASE WHEN wo.status = 'STARTED' THEN 1 ELSE 0 END) AS "生产中",
+    SUM(CASE WHEN wo.status = 'CLOSED' THEN 1 ELSE 0 END) AS "已完成",
+    ROUND(SUM(wo.planned_qty), 0) AS "计划总量",
+    ROUND(SUM(wo.completed_qty), 0) AS "完成总量",
+    CASE WHEN SUM(wo.planned_qty) > 0 
+         THEN ROUND(SUM(wo.completed_qty) * 100.0 / SUM(wo.planned_qty), 1)
+         ELSE 0 END AS "整体完成率(%)"
+FROM fact_work_order wo
+LEFT JOIN dim_product p ON wo.product_id = p.product_id AND p.is_current = 't'
+GROUP BY p.product_category
+ORDER BY "工单数" DESC;
+
+
+-- =====================================================
+-- 补充查询4：工单执行时间线
+-- =====================================================
+WITH timeline AS (
+    SELECT 
+        wo.work_order_number,
+        p.product_name,
+        wo.status,
+        wo.event_time_utc::timestamp AS start_time,
+        wo.last_updated_utc::timestamp AS last_update,
+        CASE WHEN wo.status = 'CLOSED' 
+             THEN ROUND(EXTRACT(EPOCH FROM (wo.last_updated_utc::timestamp - wo.event_time_utc::timestamp)) / 3600, 1)
+             ELSE ROUND(EXTRACT(EPOCH FROM (CURRENT_TIMESTAMP - wo.event_time_utc::timestamp)) / 3600, 1)
+        END AS duration_hours,
+        wo.planned_qty,
+        wo.completed_qty
+    FROM fact_work_order wo
+    LEFT JOIN dim_product p ON wo.product_id = p.product_id AND p.is_current = 't'
+)
+SELECT 
+    work_order_number AS "工单号",
+    product_name AS "产品",
+    CASE status
+        WHEN 'OPEN' THEN '待生产'
+        WHEN 'STARTED' THEN '生产中'
+        WHEN 'CLOSED' THEN '已完成'
+    END AS "状态",
+    TO_CHAR(start_time, 'YYYY-MM-DD HH24:MI') AS "开始时间",
+    TO_CHAR(last_update, 'YYYY-MM-DD HH24:MI') AS "最后更新",
+    duration_hours AS "持续时间(小时)",
+    ROUND(planned_qty, 0) AS "计划数量",
+    ROUND(completed_qty, 0) AS "完成数量",
+    CASE WHEN planned_qty > 0 
+         THEN ROUND(completed_qty * 100.0 / planned_qty, 1)
+         ELSE 0 END AS "完成率(%)"
+FROM timeline
+ORDER BY start_time DESC
+LIMIT 50;
+
+
+-- =====================================================
+-- 补充查询5：实时生产看板汇总
+-- =====================================================
+WITH current_stats AS (
+    SELECT 
+        COUNT(*) AS total_orders,
+        SUM(CASE WHEN status = 'OPEN' THEN 1 ELSE 0 END) AS open_orders,
+        SUM(CASE WHEN status = 'STARTED' THEN 1 ELSE 0 END) AS started_orders,
+        SUM(CASE WHEN status = 'CLOSED' THEN 1 ELSE 0 END) AS closed_orders,
+        SUM(planned_qty) AS total_planned,
+        SUM(completed_qty) AS total_completed
+    FROM fact_work_order
+),
+anomaly_stats AS (
+    SELECT 
+        COUNT(*) AS anomaly_count
+    FROM fact_work_order wo
+    WHERE wo.status = 'STARTED'
+      AND EXTRACT(EPOCH FROM (CURRENT_TIMESTAMP - wo.event_time_utc::timestamp)) / 3600 > 24
+      AND wo.completed_qty * 100.0 / NULLIF(wo.planned_qty, 0) < 30
+),
+today_stats AS (
+    SELECT 
+        COUNT(*) AS today_completed
+    FROM fact_work_order
+    WHERE status = 'CLOSED'
+      AND last_updated_utc::date = CURRENT_DATE
+)
+SELECT 
+    '总工单数' AS "指标",
+    cs.total_orders::text AS "数值",
+    '-' AS "状态"
+FROM current_stats cs
+UNION ALL
+SELECT 
+    '待生产',
+    cs.open_orders::text,
+    CASE WHEN cs.open_orders > 20 THEN '积压' ELSE '正常' END
+FROM current_stats cs
+UNION ALL
+SELECT 
+    '生产中',
+    cs.started_orders::text,
+    '进行中'
+FROM current_stats cs
+UNION ALL
+SELECT 
+    '已完成',
+    cs.closed_orders::text,
+    '正常'
+FROM current_stats cs
+UNION ALL
+SELECT 
+    '整体完成率',
+    ROUND(cs.total_completed * 100.0 / NULLIF(cs.total_planned, 0), 1)::text || '%',
+    CASE 
+        WHEN cs.total_completed * 100.0 / NULLIF(cs.total_planned, 0) >= 80 THEN '良好'
+        WHEN cs.total_completed * 100.0 / NULLIF(cs.total_planned, 0) >= 50 THEN '正常'
+        ELSE '偏低'
+    END
+FROM current_stats cs
+UNION ALL
+SELECT 
+    '异常工单数',
+    ans.anomaly_count::text,
+    CASE WHEN ans.anomaly_count > 5 THEN '需关注' ELSE '正常' END
+FROM anomaly_stats ans
+UNION ALL
+SELECT 
+    '今日完成',
+    ts.today_completed::text,
+    '-'
+FROM today_stats ts;

lzwcai_mcpskills_analyzeOrder/指标趋势分析与拐点预警.sql

@@ -0,0 +1,426 @@
+-- =====================================================
+-- 指标趋势分析与拐点预警SQL
+-- Metric Trend Analysis and Turning Point Warning
+-- 数据库: PostgreSQL
+-- =====================================================
+
+-- =====================================================
+-- 1. 日度指标基础数据
+-- =====================================================
+WITH daily_metrics AS (
+    SELECT 
+        DATE(lr.event_time_utc::timestamp) AS metric_date,
+        COUNT(DISTINCT lr.worker_name) AS worker_count,
+        SUM(lr.duration_minutes) / 60.0 AS total_hours,
+        SUM(lr.report_qty) AS total_output,
+        CASE WHEN SUM(lr.duration_minutes) > 0 
+             THEN SUM(lr.report_qty) / (SUM(lr.duration_minutes) / 60.0) 
+             ELSE 0 END AS hourly_efficiency
+    FROM fact_labor_report lr
+    GROUP BY DATE(lr.event_time_utc::timestamp)
+),
+
+daily_quality AS (
+    SELECT 
+        DATE(qi.event_time_utc::timestamp) AS metric_date,
+        SUM(qi.pass_qty) AS pass_qty,
+        SUM(qi.fail_qty) AS fail_qty,
+        CASE WHEN SUM(qi.pass_qty) + SUM(qi.fail_qty) > 0 
+             THEN SUM(qi.fail_qty) * 100.0 / (SUM(qi.pass_qty) + SUM(qi.fail_qty))
+             ELSE 0 END AS defect_rate
+    FROM fact_quality_inspection qi
+    GROUP BY DATE(qi.event_time_utc::timestamp)
+),
+
+daily_production AS (
+    SELECT 
+        DATE(wo.event_time_utc::timestamp) AS metric_date,
+        SUM(wo.planned_qty) AS planned_qty,
+        SUM(wo.completed_qty) AS completed_qty,
+        CASE WHEN SUM(wo.planned_qty) > 0 
+             THEN SUM(wo.completed_qty) * 100.0 / SUM(wo.planned_qty)
+             ELSE 0 END AS completion_rate
+    FROM fact_work_order wo
+    GROUP BY DATE(wo.event_time_utc::timestamp)
+),
+
+combined_daily AS (
+    SELECT 
+        COALESCE(dm.metric_date, dq.metric_date, dp.metric_date) AS metric_date,
+        COALESCE(dm.worker_count, 0) AS worker_count,
+        COALESCE(dm.total_hours, 0) AS total_hours,
+        COALESCE(dm.total_output, 0) AS total_output,
+        COALESCE(dm.hourly_efficiency, 0) AS hourly_efficiency,
+        COALESCE(dq.defect_rate, 0) AS defect_rate,
+        COALESCE(dp.completion_rate, 0) AS completion_rate
+    FROM daily_metrics dm
+    FULL OUTER JOIN daily_quality dq ON dm.metric_date = dq.metric_date
+    FULL OUTER JOIN daily_production dp ON dm.metric_date = dp.metric_date
+    WHERE COALESCE(dm.metric_date, dq.metric_date, dp.metric_date) IS NOT NULL
+),
+
+numbered_data AS (
+    SELECT 
+        *,
+        ROW_NUMBER() OVER (ORDER BY metric_date) AS day_seq
+    FROM combined_daily
+),
+
+-- =====================================================
+-- 2. 移动平均计算 (7日移动平均)
+-- =====================================================
+moving_avg_step1 AS (
+    SELECT 
+        metric_date,
+        day_seq,
+        worker_count,
+        total_output,
+        hourly_efficiency,
+        defect_rate,
+        completion_rate,
+        AVG(hourly_efficiency) OVER (ORDER BY metric_date ROWS BETWEEN 6 PRECEDING AND CURRENT ROW) AS ma7_efficiency,
+        AVG(total_output) OVER (ORDER BY metric_date ROWS BETWEEN 6 PRECEDING AND CURRENT ROW) AS ma7_output,
+        AVG(defect_rate) OVER (ORDER BY metric_date ROWS BETWEEN 6 PRECEDING AND CURRENT ROW) AS ma7_defect_rate,
+        AVG(completion_rate) OVER (ORDER BY metric_date ROWS BETWEEN 6 PRECEDING AND CURRENT ROW) AS ma7_completion_rate,
+        AVG(day_seq) OVER (ORDER BY metric_date ROWS BETWEEN 6 PRECEDING AND CURRENT ROW) AS avg_x
+    FROM numbered_data
+),
+
+moving_avg AS (
+    SELECT 
+        *,
+        LAG(ma7_efficiency, 1) OVER (ORDER BY metric_date) AS prev_ma7_efficiency,
+        LAG(ma7_output, 1) OVER (ORDER BY metric_date) AS prev_ma7_output,
+        LAG(ma7_defect_rate, 1) OVER (ORDER BY metric_date) AS prev_ma7_defect_rate
+    FROM moving_avg_step1
+),
+
+-- =====================================================
+-- 3. 简化的趋势斜率计算
+-- =====================================================
+slope_calc AS (
+    SELECT 
+        *,
+        (ma7_efficiency - LAG(ma7_efficiency, 3) OVER (ORDER BY metric_date)) / 3.0 AS slope_efficiency,
+        (ma7_output - LAG(ma7_output, 3) OVER (ORDER BY metric_date)) / 3.0 AS slope_output,
+        (ma7_defect_rate - LAG(ma7_defect_rate, 3) OVER (ORDER BY metric_date)) / 3.0 AS slope_defect
+    FROM moving_avg
+),
+
+-- =====================================================
+-- 4. 趋势判断与异常检测
+-- =====================================================
+trend_analysis AS (
+    SELECT 
+        metric_date,
+        hourly_efficiency,
+        total_output,
+        defect_rate,
+        completion_rate,
+        ROUND(ma7_efficiency, 2) AS ma7_efficiency,
+        ROUND(ma7_output, 2) AS ma7_output,
+        ROUND(ma7_defect_rate, 2) AS ma7_defect_rate,
+        ROUND(COALESCE(slope_efficiency, 0), 4) AS slope_efficiency,
+        ROUND(COALESCE(slope_output, 0), 4) AS slope_output,
+        ROUND(COALESCE(slope_defect, 0), 4) AS slope_defect,
+        prev_ma7_efficiency,
+        prev_ma7_output,
+        prev_ma7_defect_rate,
+        
+        CASE 
+            WHEN COALESCE(slope_efficiency, 0) > 0.3 THEN 'RISING'
+            WHEN COALESCE(slope_efficiency, 0) < -0.3 THEN 'FALLING'
+            ELSE 'STABLE'
+        END AS efficiency_trend,
+        
+        CASE 
+            WHEN COALESCE(slope_output, 0) > 3 THEN 'RISING'
+            WHEN COALESCE(slope_output, 0) < -3 THEN 'FALLING'
+            ELSE 'STABLE'
+        END AS output_trend,
+        
+        CASE 
+            WHEN COALESCE(slope_defect, 0) > 0.3 THEN 'RISING'
+            WHEN COALESCE(slope_defect, 0) < -0.3 THEN 'FALLING'
+            ELSE 'STABLE'
+        END AS defect_trend,
+        
+        CASE 
+            WHEN ma7_efficiency > 0 AND ABS(hourly_efficiency - ma7_efficiency) > ma7_efficiency * 0.3 THEN 'ANOMALY'
+            ELSE 'NORMAL'
+        END AS efficiency_status,
+        
+        CASE 
+            WHEN ma7_output > 0 AND ABS(total_output - ma7_output) > ma7_output * 0.3 THEN 'ANOMALY'
+            ELSE 'NORMAL'
+        END AS output_status,
+        
+        CASE 
+            WHEN defect_rate > ma7_defect_rate * 1.5 AND defect_rate > 5 THEN 'ANOMALY'
+            ELSE 'NORMAL'
+        END AS defect_status
+        
+    FROM slope_calc
+)
+
+-- =====================================================
+-- 输出：日度趋势分析明细
+-- =====================================================
+SELECT 
+    metric_date,
+    ROUND(hourly_efficiency, 2) AS hourly_output,
+    ma7_efficiency AS efficiency_ma7,
+    slope_efficiency,
+    efficiency_trend,
+    efficiency_status,
+    CASE 
+        WHEN prev_ma7_efficiency IS NOT NULL 
+             AND ma7_efficiency > prev_ma7_efficiency AND slope_efficiency < 0 THEN 'TURNING_POINT'
+        WHEN prev_ma7_efficiency IS NOT NULL 
+             AND ma7_efficiency < prev_ma7_efficiency AND slope_efficiency > 0 THEN 'TURNING_POINT'
+        ELSE 'NONE'
+    END AS efficiency_turning_point,
+    ROUND(total_output, 0) AS daily_output,
+    ma7_output AS output_ma7,
+    slope_output,
+    output_trend,
+    output_status,
+    CASE 
+        WHEN prev_ma7_output IS NOT NULL 
+             AND ma7_output > prev_ma7_output AND slope_output < 0 THEN 'TURNING_POINT'
+        WHEN prev_ma7_output IS NOT NULL 
+             AND ma7_output < prev_ma7_output AND slope_output > 0 THEN 'TURNING_POINT'
+        ELSE 'NONE'
+    END AS output_turning_point,
+    ROUND(defect_rate, 2) AS defect_rate,
+    ma7_defect_rate AS defect_rate_ma7,
+    slope_defect,
+    defect_trend,
+    defect_status,
+    CASE 
+        WHEN prev_ma7_defect_rate IS NOT NULL 
+             AND ma7_defect_rate > prev_ma7_defect_rate AND slope_defect < 0 THEN 'TURNING_POINT'
+        WHEN prev_ma7_defect_rate IS NOT NULL 
+             AND ma7_defect_rate < prev_ma7_defect_rate AND slope_defect > 0 THEN 'TURNING_POINT'
+        ELSE 'NONE'
+    END AS defect_turning_point
+FROM trend_analysis
+ORDER BY metric_date DESC;
+
+
+-- =====================================================
+-- 补充查询1：周度趋势汇总
+-- =====================================================
+WITH weekly_metrics AS (
+    SELECT 
+        DATE_TRUNC('week', lr.event_time_utc::timestamp)::date AS week_start,
+        COUNT(DISTINCT lr.worker_name) AS worker_count,
+        SUM(lr.duration_minutes) / 60.0 AS total_hours,
+        SUM(lr.report_qty) AS total_output,
+        CASE WHEN SUM(lr.duration_minutes) > 0 
+             THEN SUM(lr.report_qty) / (SUM(lr.duration_minutes) / 60.0) 
+             ELSE 0 END AS hourly_efficiency
+    FROM fact_labor_report lr
+    GROUP BY DATE_TRUNC('week', lr.event_time_utc::timestamp)
+),
+weekly_quality AS (
+    SELECT 
+        DATE_TRUNC('week', qi.event_time_utc::timestamp)::date AS week_start,
+        SUM(qi.fail_qty) * 100.0 / NULLIF(SUM(qi.pass_qty) + SUM(qi.fail_qty), 0) AS defect_rate
+    FROM fact_quality_inspection qi
+    GROUP BY DATE_TRUNC('week', qi.event_time_utc::timestamp)
+),
+weekly_combined AS (
+    SELECT 
+        wm.week_start,
+        wm.worker_count,
+        wm.total_hours,
+        wm.total_output,
+        wm.hourly_efficiency,
+        COALESCE(wq.defect_rate, 0) AS defect_rate
+    FROM weekly_metrics wm
+    LEFT JOIN weekly_quality wq ON wm.week_start = wq.week_start
+),
+weekly_with_lag AS (
+    SELECT 
+        *,
+        LAG(hourly_efficiency, 1) OVER (ORDER BY week_start) AS prev_efficiency,
+        LAG(total_output, 1) OVER (ORDER BY week_start) AS prev_output,
+        LAG(defect_rate, 1) OVER (ORDER BY week_start) AS prev_defect_rate
+    FROM weekly_combined
+)
+SELECT 
+    week_start,
+    worker_count,
+    ROUND(total_hours, 1) AS total_hours,
+    ROUND(total_output, 0) AS total_output,
+    ROUND(hourly_efficiency, 2) AS hourly_output,
+    ROUND(defect_rate, 2) AS defect_rate,
+    CASE 
+        WHEN prev_efficiency IS NULL THEN 'NONE'
+        WHEN hourly_efficiency > prev_efficiency * 1.1 THEN 'RISING'
+        WHEN hourly_efficiency < prev_efficiency * 0.9 THEN 'FALLING'
+        ELSE 'STABLE'
+    END AS efficiency_trend,
+    CASE 
+        WHEN prev_output IS NULL THEN 'NONE'
+        WHEN total_output > prev_output * 1.1 THEN 'RISING'
+        WHEN total_output < prev_output * 0.9 THEN 'FALLING'
+        ELSE 'STABLE'
+    END AS output_trend,
+    CASE 
+        WHEN prev_defect_rate IS NULL THEN 'NONE'
+        WHEN defect_rate > prev_defect_rate * 1.2 THEN 'RISING'
+        WHEN defect_rate < prev_defect_rate * 0.8 THEN 'FALLING'
+        ELSE 'STABLE'
+    END AS defect_trend,
+    ROUND((hourly_efficiency - COALESCE(prev_efficiency, hourly_efficiency)) / NULLIF(prev_efficiency, 0) * 100, 1) AS efficiency_wow_pct
+FROM weekly_with_lag
+ORDER BY week_start DESC;
+
+
+-- =====================================================
+-- 补充查询2：指标趋势汇总报告
+-- =====================================================
+WITH 
+recent_data AS (
+    SELECT 
+        DATE(lr.event_time_utc::timestamp) AS metric_date,
+        SUM(lr.report_qty) / NULLIF(SUM(lr.duration_minutes) / 60.0, 0) AS hourly_efficiency,
+        SUM(lr.report_qty) AS total_output
+    FROM fact_labor_report lr
+    WHERE lr.event_time_utc::timestamp >= CURRENT_DATE - INTERVAL '14 days'
+    GROUP BY DATE(lr.event_time_utc::timestamp)
+),
+recent_quality AS (
+    SELECT 
+        DATE(qi.event_time_utc::timestamp) AS metric_date,
+        SUM(qi.fail_qty) * 100.0 / NULLIF(SUM(qi.pass_qty) + SUM(qi.fail_qty), 0) AS defect_rate
+    FROM fact_quality_inspection qi
+    WHERE qi.event_time_utc::timestamp >= CURRENT_DATE - INTERVAL '14 days'
+    GROUP BY DATE(qi.event_time_utc::timestamp)
+),
+period_stats AS (
+    SELECT 
+        AVG(CASE WHEN rd.metric_date >= CURRENT_DATE - INTERVAL '7 days' THEN rd.hourly_efficiency END) AS avg_eff_7d,
+        AVG(CASE WHEN rd.metric_date >= CURRENT_DATE - INTERVAL '7 days' THEN rd.total_output END) AS avg_output_7d,
+        AVG(CASE WHEN rd.metric_date < CURRENT_DATE - INTERVAL '7 days' THEN rd.hourly_efficiency END) AS avg_eff_prev7d,
+        AVG(CASE WHEN rd.metric_date < CURRENT_DATE - INTERVAL '7 days' THEN rd.total_output END) AS avg_output_prev7d
+    FROM recent_data rd
+),
+quality_stats AS (
+    SELECT 
+        AVG(CASE WHEN rq.metric_date >= CURRENT_DATE - INTERVAL '7 days' THEN rq.defect_rate END) AS avg_defect_7d,
+        AVG(CASE WHEN rq.metric_date < CURRENT_DATE - INTERVAL '7 days' THEN rq.defect_rate END) AS avg_defect_prev7d
+    FROM recent_quality rq
+)
+SELECT 
+    'efficiency_per_hour' AS metric_name,
+    ROUND(ps.avg_eff_7d, 2) AS last_7d_avg,
+    ROUND(ps.avg_eff_prev7d, 2) AS prev_7d_avg,
+    ROUND((ps.avg_eff_7d - ps.avg_eff_prev7d) / NULLIF(ps.avg_eff_prev7d, 0) * 100, 1) AS change_rate_pct,
+    CASE 
+        WHEN ps.avg_eff_7d > ps.avg_eff_prev7d * 1.05 THEN 'RISING'
+        WHEN ps.avg_eff_7d < ps.avg_eff_prev7d * 0.95 THEN 'FALLING'
+        ELSE 'STABLE'
+    END AS trend,
+    CASE 
+        WHEN ABS(ps.avg_eff_7d - ps.avg_eff_prev7d) / NULLIF(ps.avg_eff_prev7d, 0) > 0.2 THEN 'ANOMALY'
+        ELSE 'NORMAL'
+    END AS warning
+FROM period_stats ps
+
+UNION ALL
+
+SELECT 
+    'daily_output',
+    ROUND(ps.avg_output_7d, 0),
+    ROUND(ps.avg_output_prev7d, 0),
+    ROUND((ps.avg_output_7d - ps.avg_output_prev7d) / NULLIF(ps.avg_output_prev7d, 0) * 100, 1),
+    CASE 
+        WHEN ps.avg_output_7d > ps.avg_output_prev7d * 1.05 THEN 'RISING'
+        WHEN ps.avg_output_7d < ps.avg_output_prev7d * 0.95 THEN 'FALLING'
+        ELSE 'STABLE'
+    END,
+    CASE 
+        WHEN ABS(ps.avg_output_7d - ps.avg_output_prev7d) / NULLIF(ps.avg_output_prev7d, 0) > 0.2 THEN 'ANOMALY'
+        ELSE 'NORMAL'
+    END
+FROM period_stats ps
+
+UNION ALL
+
+SELECT 
+    'defect_rate_pct',
+    ROUND(qs.avg_defect_7d, 2),
+    ROUND(qs.avg_defect_prev7d, 2),
+    ROUND((qs.avg_defect_7d - qs.avg_defect_prev7d) / NULLIF(qs.avg_defect_prev7d, 0) * 100, 1),
+    CASE 
+        WHEN qs.avg_defect_7d > qs.avg_defect_prev7d * 1.1 THEN 'RISING'
+        WHEN qs.avg_defect_7d < qs.avg_defect_prev7d * 0.9 THEN 'FALLING'
+        ELSE 'STABLE'
+    END,
+    CASE 
+        WHEN qs.avg_defect_7d > 8 THEN 'THRESHOLD_EXCEEDED'
+        WHEN qs.avg_defect_7d > qs.avg_defect_prev7d * 1.3 THEN 'ANOMALY_RISING'
+        ELSE 'NORMAL'
+    END
+FROM quality_stats qs;
+
+
+-- =====================================================
+-- 补充查询3：拐点预警汇总
+-- =====================================================
+WITH daily_eff AS (
+    SELECT 
+        DATE(lr.event_time_utc::timestamp) AS metric_date,
+        SUM(lr.report_qty) / NULLIF(SUM(lr.duration_minutes) / 60.0, 0) AS hourly_efficiency
+    FROM fact_labor_report lr
+    GROUP BY DATE(lr.event_time_utc::timestamp)
+),
+with_ma_step1 AS (
+    SELECT 
+        metric_date,
+        hourly_efficiency,
+        AVG(hourly_efficiency) OVER (ORDER BY metric_date ROWS BETWEEN 6 PRECEDING AND CURRENT ROW) AS ma7
+    FROM daily_eff
+),
+with_ma AS (
+    SELECT 
+        metric_date,
+        hourly_efficiency,
+        ma7,
+        LAG(ma7, 1) OVER (ORDER BY metric_date) AS prev_ma7,
+        LAG(ma7, 2) OVER (ORDER BY metric_date) AS prev2_ma7
+    FROM with_ma_step1
+),
+turning_points AS (
+    SELECT 
+        metric_date,
+        hourly_efficiency,
+        ma7,
+        prev_ma7,
+        prev2_ma7,
+        CASE 
+            WHEN prev2_ma7 IS NOT NULL 
+                 AND prev_ma7 < prev2_ma7 AND ma7 > prev_ma7 THEN 'UPWARD'
+            WHEN prev2_ma7 IS NOT NULL 
+                 AND prev_ma7 > prev2_ma7 AND ma7 < prev_ma7 THEN 'DOWNWARD'
+            ELSE NULL
+        END AS turning_type
+    FROM with_ma
+)
+SELECT 
+    metric_date,
+    ROUND(hourly_efficiency, 2) AS daily_efficiency,
+    ROUND(ma7, 2) AS ma7_line,
+    turning_type,
+    CASE 
+        WHEN turning_type = 'UPWARD' THEN 'MAINTAIN_CURRENT_MEASURES'
+        WHEN turning_type = 'DOWNWARD' THEN 'INVESTIGATE_AND_IMPROVE'
+        ELSE 'NONE'
+    END AS recommendation
+FROM turning_points
+WHERE turning_type IS NOT NULL
+ORDER BY metric_date DESC
+LIMIT 10;

lzwcai_mcpskills_analyzeOrder/订单延迟预警分析.sql

@@ -0,0 +1,154 @@
+-- 订单延迟预警分析（最终优化版）
+-- Order Delay Warning Analysis
+WITH 
+-- 1. 历史生产周期统计（全局平均，仅统计已完成工单）
+production_cycle_stats AS (
+    SELECT 
+        COALESCE(
+            AVG(
+                GREATEST(0, EXTRACT(DAY FROM last_updated_utc - event_time_utc))
+            ), 
+            0
+        ) AS avg_production_days
+    FROM fact_work_order
+    WHERE status = 'CLOSED'
+      AND last_updated_utc >= event_time_utc
+),
+
+-- 2. 物流延误统计（按客户维度）
+logistics_delay_stats AS (
+    SELECT 
+        customer_id,
+        AVG(
+            GREATEST(0, EXTRACT(DAY FROM event_time_utc - doc_date_utc))
+        ) AS avg_logistics_delay_days,
+        SUM(
+            CASE WHEN EXTRACT(DAY FROM event_time_utc - doc_date_utc) > 3 
+            THEN 1 ELSE 0 END
+        ) AS delay_count
+    FROM fact_sales_shipment
+    WHERE doc_date_utc IS NOT NULL
+      AND event_time_utc IS NOT NULL
+    GROUP BY customer_id
+),
+
+-- 3. 质量问题统计（全局平均）
+quality_issue_stats AS (
+    SELECT 
+        COALESCE(
+            ROUND(
+                SUM(fail_qty) * 100.0 / NULLIF(SUM(pass_qty + fail_qty), 0), 
+                2
+            ), 
+            0
+        ) AS defect_rate_pct
+    FROM fact_quality_inspection
+    WHERE pass_qty IS NOT NULL 
+      AND fail_qty IS NOT NULL
+),
+
+-- 4. 报废率（全局）
+scrap_stats AS (
+    SELECT 
+        COALESCE(
+            (SELECT COUNT(*) FROM fact_scrap) * 100.0 / 
+            NULLIF((SELECT COUNT(*) FROM fact_work_order WHERE status = 'CLOSED'), 0),
+            0
+        ) AS scrap_rate_pct
+),
+
+-- 5. 当前生产滞后风险（全局）
+active_work_order_risk AS (
+    SELECT 
+        COUNT(*) AS active_wo_count,
+        COALESCE(
+            SUM(
+                CASE 
+                    WHEN planned_qty > 0 
+                         AND (completed_qty / planned_qty) < 0.3 
+                         AND EXTRACT(DAY FROM NOW() - event_time_utc) > 7
+                    THEN 1 
+                    ELSE 0 
+                END
+            ), 
+            0
+        ) AS lagging_wo_count
+    FROM fact_work_order
+    WHERE status IN ('OPEN', 'STARTED')
+),
+
+-- 6. 合并全局指标为单行
+global_metrics AS (
+    SELECT 
+        pcs.avg_production_days,
+        qis.defect_rate_pct,
+        ss.scrap_rate_pct,
+        awr.active_wo_count,
+        awr.lagging_wo_count
+    FROM production_cycle_stats pcs, 
+         quality_issue_stats qis, 
+         scrap_stats ss, 
+         active_work_order_risk awr
+)
+
+-- 主查询
+SELECT 
+    so.sales_order_number AS order_number,
+    c.customer_name AS customer_name,
+    so.order_date_utc::DATE AS order_date,
+    so.deal_amount AS order_amount,
+    so.payment_status AS payment_status,
+    
+    -- 风险指标
+    ROUND(gm.avg_production_days::NUMERIC, 1) AS avg_production_days,
+    ROUND(COALESCE(lds.avg_logistics_delay_days, 0)::NUMERIC, 1) AS avg_logistics_delay_days,
+    COALESCE(lds.delay_count, 0)::INT AS historical_delay_count,
+    ROUND(gm.defect_rate_pct::NUMERIC, 2) AS defect_rate_pct,
+    ROUND(gm.scrap_rate_pct::NUMERIC, 2) AS scrap_rate_pct,
+    gm.active_wo_count::INT AS active_work_order_count,
+    gm.lagging_wo_count::INT AS lagging_work_order_count,
+    
+    -- 延迟概率计算
+    ROUND(
+        LEAST(100, GREATEST(0,
+            LEAST(25, GREATEST(0, gm.avg_production_days - 10) * 2.5) +
+            LEAST(30, COALESCE(lds.avg_logistics_delay_days, 0) * 6) +
+            LEAST(25, gm.defect_rate_pct * 2.5) +
+            LEAST(20, gm.lagging_wo_count * 10)
+        ))::NUMERIC, 1
+    ) AS delay_probability_pct,
+    
+    -- 预警等级
+    CASE 
+        WHEN (
+            LEAST(25, GREATEST(0, gm.avg_production_days - 10) * 2.5) +
+            LEAST(30, COALESCE(lds.avg_logistics_delay_days, 0) * 6) +
+            LEAST(25, gm.defect_rate_pct * 2.5) +
+            LEAST(20, gm.lagging_wo_count * 10)
+        ) >= 60 THEN 'RED'
+        WHEN (
+            LEAST(25, GREATEST(0, gm.avg_production_days - 10) * 2.5) +
+            LEAST(30, COALESCE(lds.avg_logistics_delay_days, 0) * 6) +
+            LEAST(25, gm.defect_rate_pct * 2.5) +
+            LEAST(20, gm.lagging_wo_count * 10)
+        ) >= 30 THEN 'YELLOW'
+        ELSE 'GREEN'
+    END AS warning_level,
+    
+    -- 主要风险因素
+    CASE 
+        WHEN gm.lagging_wo_count >= 2 THEN 'PRODUCTION_SEVERELY_DELAYED'
+        WHEN COALESCE(lds.avg_logistics_delay_days, 0) > 5 THEN 'HIGH_LOGISTICS_DELAY_RISK'
+        WHEN gm.avg_production_days > 15 THEN 'LONG_PRODUCTION_CYCLE'
+        WHEN gm.defect_rate_pct > 10 THEN 'QUALITY_ISSUES'
+        ELSE 'NORMAL'
+    END AS primary_risk_factor
+
+FROM fact_sales_order so
+LEFT JOIN dim_customer c 
+    ON so.customer_id = c.customer_id 
+    AND c.is_current = 't'
+CROSS JOIN global_metrics gm
+LEFT JOIN logistics_delay_stats lds 
+    ON so.customer_id = lds.customer_id
+ORDER BY delay_probability_pct DESC, so.order_date_utc DESC;

lzwcai_mcpskills_analyzeWorkOrder/README.md

@@ -1,4 +1,4 @@
-# lzwcai-mcpskills-analyzeWorkOrder
+# lzwcai-mcpskills-analyzeOrder
 
 一个基于 MCP (Model Context Protocol) 的 SQL 查询执行服务器，支持从 JSON 配置文件动态生成查询工具。
 
@@ -14,7 +14,7 @@
 ### 使用 pip 安装
 
 ```bash
-pip install lzwcai-mcpskills-analyzeWorkOrder
+pip install lzwcai-mcpskills-analyzeOrder
 ```
 
 ### 从源码安装
@@ -28,7 +28,7 @@ pip install -e .
 ### 使用 uv 安装（推荐）
 
 ```bash
-uv pip install lzwcai-mcpskills-analyzeWorkOrder
+uv pip install lzwcai-mcpskills-analyzeOrder
 ```
 
 ## 使用方法
@@ -38,7 +38,7 @@ uv pip install lzwcai-mcpskills-analyzeWorkOrder
 安装后，可以直接通过命令启动：
 
 ```bash
-lzwcai-mcpskills-analyzeWorkOrder
+lzwcai-mcpskills-analyzeOrder
 ```
 
 ### 作为 Python 模块运行
@@ -55,7 +55,7 @@ python -m lzwcai_mcp_sqlexecutor.main
 {
   "mcpServers": {
     "lzwcai-sqlexecutor": {
-      "command": "lzwcai-mcpskills-analyzeWorkOrder"
+      "command": "lzwcai-mcpskills-analyzeOrder"
     }
   }
 }

lzwcai_mcpskills_analyzeWorkOrder/lzwcai_mcpskills_analyzeWorkOrder/__init__.py

@@ -1,5 +1,5 @@
 """
-lzwcai-mcpskills-analyzeWorkOrder - MCP server for executing business SQL queries
+lzwcai-mcpskills-analyzeOrder - MCP server for executing business SQL queries
 """
 
 __version__ = "0.1.2"

lzwcai_mcpskills_analyzeWorkOrder/lzwcai_mcpskills_analyzeWorkOrder/main.py

@@ -94,7 +94,7 @@ def generate_tool_schema_from_query(query: dict) -> types.Tool:
 
 
 # 创建 MCP 服务器实例
-server = Server("lzwcai-mcpskills-analyzeWorkOrder")
+server = Server("lzwcai-mcpskills-analyzeOrder")
 
 # 缓存查询配置，避免重复加载
 _queries_cache = None
@@ -311,7 +311,7 @@ async def async_main():
     """MCP 服务器异步主函数"""
     try:
         mcp_logger.info("=" * 60)
-        mcp_logger.info("正在启动 MCP 服务器: lzwcai-mcpskills-analyzeWorkOrder")
+        mcp_logger.info("正在启动 MCP 服务器: lzwcai-mcpskills-analyzeOrder")
         mcp_logger.info("版本: 0.1.0")
         mcp_logger.info("=" * 60)
         
@@ -332,7 +332,7 @@ async def async_main():
                 read_stream,
                 write_stream,
                 InitializationOptions(
-                    server_name="lzwcai-mcpskills-analyzeWorkOrder",
+                    server_name="lzwcai-mcpskills-analyzeOrder",
                     server_version="0.1.0",
                     capabilities=server.get_capabilities(
                         notification_options=NotificationOptions(),

lzwcai_mcpskills_analyzeWorkOrder/main.py

@@ -1,5 +1,5 @@
 """
-Entry point for lzwcai-mcpskills-analyzeWorkOrder
+Entry point for lzwcai-mcpskills-analyzeOrder
 Runs the MCP server for SQL query execution
 """
 import os
@@ -9,5 +9,5 @@ os.environ["datasourceId"] = "19"
 os.environ["backendBaseUrl"] = "http://192.168.11.24:8088"
 if __name__ == "__main__":
     # Import and run the actual MCP server
-    from lzwcai_mcpskills_analyzeWorkOrder.main import main
+    from lzwcai_mcpskills_analyzeOrder.main import main
     main()

lzwcai_mcpskills_analyzeWorkOrder/pyproject.toml

@@ -3,7 +3,7 @@ requires = ["hatchling"]
 build-backend = "hatchling.build"
 
 [project]
-name = "lzwcai-mcpskills-analyzeWorkOrder"
+name = "lzwcai-mcpskills-analyzeOrder"
 version = "0.1.12"
 description = "MCP server for executing business SQL queries with dynamic tool generation"
 readme = "README.md"
@@ -26,10 +26,10 @@ dependencies = [
 ]
 
 [project.scripts]
-lzwcai-mcpskills-analyzeWorkOrder = "lzwcai_mcpskills_analyzeWorkOrder.main:main"
+lzwcai-mcpskills-analyzeOrder = "lzwcai_mcpskills_analyzeOrder.main:main"
 
 [tool.hatch.build.targets.wheel]
-packages = ["lzwcai_mcpskills_analyzeWorkOrder"]
+packages = ["lzwcai_mcpskills_analyzeOrder"]
 
 [tool.hatch.build.targets.wheel.force-include]
-"lzwcai_mcpskills_analyzeWorkOrder/businessQueries.json" = "lzwcai_mcpskills_analyzeWorkOrder/businessQueries.json"
+"lzwcai_mcpskills_analyzeOrder/businessQueries.json" = "lzwcai_mcpskills_analyzeOrder/businessQueries.json"

server.log

@@ -0,0 +1,6 @@
+{"level":30,"time":1767795873541,"pid":31816,"hostname":"MICROSO-UUDM3QK","msg":"config>{\"host\":\"192.168.11.24\",\"user\":\"postgres\",\"password\":\"******\",\"database\":\"manufacturing_data_model_v1_0_0\",\"port\":5432}"}
+{"level":30,"time":1767795873541,"pid":31816,"hostname":"MICROSO-UUDM3QK","msg":"MySQL MCP server running on stdio"}
+{"level":50,"time":1767796119331,"pid":31816,"hostname":"MICROSO-UUDM3QK","msg":"List tables failed","sql":"SHOW TABLES","error":"connect ETIMEDOUT"}
+{"level":50,"time":1767797249666,"pid":31816,"hostname":"MICROSO-UUDM3QK","msg":"Describe table failed","sql":"DESCRIBE ??","params":["fact_work_order"],"error":"connect ETIMEDOUT"}
+{"level":50,"time":1767797265187,"pid":31816,"hostname":"MICROSO-UUDM3QK","msg":"Describe table failed","sql":"DESCRIBE ??","params":["fact_sales_order"],"error":"connect ETIMEDOUT"}
+{"level":50,"time":1767797277193,"pid":31816,"hostname":"MICROSO-UUDM3QK","msg":"Describe table failed","sql":"DESCRIBE ??","params":["fact_sales_shipment"],"error":"connect ETIMEDOUT"}

sql/dim_bom.json

@@ -0,0 +1,342 @@
+[
+  {
+    "bom_id": 1,
+    "bom_number": "BOM67148266",
+    "bom_topic": "BOM Topic 0",
+    "is_primary": "f",
+    "level_number": 1,
+    "product_code": "4904724113571",
+    "unit_usage_qty": 6.77,
+    "uom_code": "pcs",
+    "supplier_name": null,
+    "remark": "谢谢有限运行大小希望什么女人.",
+    "source_system": null,
+    "row_valid_from": "3/12/2025 04:38:26.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "26/12/2025 05:36:09.-1f+00"
+  },
+  {
+    "bom_id": 2,
+    "bom_number": "BOM41843358",
+    "bom_topic": "BOM Topic 1",
+    "is_primary": "f",
+    "level_number": 3,
+    "product_code": "7404817071704",
+    "unit_usage_qty": 3.15,
+    "uom_code": "pcs",
+    "supplier_name": null,
+    "remark": "联系时候首页功能到了人民包括方面.",
+    "source_system": null,
+    "row_valid_from": "18/12/2025 13:59:24.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "26/12/2025 05:36:09.-1f+00"
+  },
+  {
+    "bom_id": 3,
+    "bom_number": "BOM98209951",
+    "bom_topic": "BOM Topic 2",
+    "is_primary": "f",
+    "level_number": 2,
+    "product_code": "2371469356556",
+    "unit_usage_qty": 5.85,
+    "uom_code": "pcs",
+    "supplier_name": null,
+    "remark": "一种感觉只是都是程序上海.",
+    "source_system": null,
+    "row_valid_from": "19/12/2025 21:41:57.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "26/12/2025 05:36:09.-1f+00"
+  },
+  {
+    "bom_id": 4,
+    "bom_number": "BOM54567090",
+    "bom_topic": "BOM Topic 3",
+    "is_primary": "t",
+    "level_number": 2,
+    "product_code": "7246071817298",
+    "unit_usage_qty": 8.79,
+    "uom_code": "pcs",
+    "supplier_name": null,
+    "remark": "市场会员或者是一可是.",
+    "source_system": null,
+    "row_valid_from": "11/12/2025 15:22:25.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "26/12/2025 05:36:09.-1f+00"
+  },
+  {
+    "bom_id": 5,
+    "bom_number": "BOM15469037",
+    "bom_topic": "BOM Topic 4",
+    "is_primary": "f",
+    "level_number": 1,
+    "product_code": "7756777017088",
+    "unit_usage_qty": 6.14,
+    "uom_code": "pcs",
+    "supplier_name": null,
+    "remark": "说明电脑工作但是语言组织.",
+    "source_system": null,
+    "row_valid_from": "8/12/2025 09:21:49.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "26/12/2025 05:36:09.-1f+00"
+  },
+  {
+    "bom_id": 6,
+    "bom_number": "BOM38789955",
+    "bom_topic": "BOM Topic 5",
+    "is_primary": "f",
+    "level_number": 2,
+    "product_code": "2173642523324",
+    "unit_usage_qty": 4.84,
+    "uom_code": "pcs",
+    "supplier_name": null,
+    "remark": "次数安全产品的话空间其他.",
+    "source_system": null,
+    "row_valid_from": "18/12/2025 01:14:37.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "26/12/2025 05:36:09.-1f+00"
+  },
+  {
+    "bom_id": 7,
+    "bom_number": "BOM44892173",
+    "bom_topic": "BOM Topic 6",
+    "is_primary": "f",
+    "level_number": 2,
+    "product_code": "9233722353722",
+    "unit_usage_qty": 1.57,
+    "uom_code": "pcs",
+    "supplier_name": null,
+    "remark": "功能学校产品应用大小原因然后.",
+    "source_system": null,
+    "row_valid_from": "21/12/2025 09:40:17.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "26/12/2025 05:36:09.-1f+00"
+  },
+  {
+    "bom_id": 8,
+    "bom_number": "BOM57810577",
+    "bom_topic": "BOM Topic 7",
+    "is_primary": "t",
+    "level_number": 3,
+    "product_code": "2849807988474",
+    "unit_usage_qty": 8.68,
+    "uom_code": "pcs",
+    "supplier_name": null,
+    "remark": "评论全国他们全部我的那些.",
+    "source_system": null,
+    "row_valid_from": "24/12/2025 15:29:21.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "26/12/2025 05:36:09.-1f+00"
+  },
+  {
+    "bom_id": 9,
+    "bom_number": "BOM85135415",
+    "bom_topic": "BOM Topic 8",
+    "is_primary": "f",
+    "level_number": 1,
+    "product_code": "4018893752094",
+    "unit_usage_qty": 5.04,
+    "uom_code": "pcs",
+    "supplier_name": null,
+    "remark": "企业根据学习事情公司情况.",
+    "source_system": null,
+    "row_valid_from": "25/12/2025 04:09:39.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "26/12/2025 05:36:09.-1f+00"
+  },
+  {
+    "bom_id": 10,
+    "bom_number": "BOM58635315",
+    "bom_topic": "BOM Topic 9",
+    "is_primary": "f",
+    "level_number": 1,
+    "product_code": "3787077152814",
+    "unit_usage_qty": 7.67,
+    "uom_code": "pcs",
+    "supplier_name": null,
+    "remark": "这种作为中国来自特别记者方面.",
+    "source_system": null,
+    "row_valid_from": "5/12/2025 22:01:43.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "26/12/2025 05:36:09.-1f+00"
+  },
+  {
+    "bom_id": 11,
+    "bom_number": "BOM32942034",
+    "bom_topic": "BOM Topic 10",
+    "is_primary": "t",
+    "level_number": 1,
+    "product_code": "5034750643502",
+    "unit_usage_qty": 4.85,
+    "uom_code": "pcs",
+    "supplier_name": null,
+    "remark": "起来增加拥有威望.",
+    "source_system": null,
+    "row_valid_from": "15/12/2025 00:41:03.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "26/12/2025 05:36:09.-1f+00"
+  },
+  {
+    "bom_id": 12,
+    "bom_number": "BOM67116698",
+    "bom_topic": "BOM Topic 11",
+    "is_primary": "f",
+    "level_number": 1,
+    "product_code": "2935355176842",
+    "unit_usage_qty": 9.43,
+    "uom_code": "pcs",
+    "supplier_name": null,
+    "remark": "当然解决觉得次数过程汽车.",
+    "source_system": null,
+    "row_valid_from": "12/12/2025 13:59:04.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "26/12/2025 05:36:09.-1f+00"
+  },
+  {
+    "bom_id": 13,
+    "bom_number": "BOM57413843",
+    "bom_topic": "BOM Topic 12",
+    "is_primary": "t",
+    "level_number": 1,
+    "product_code": "3334503439324",
+    "unit_usage_qty": 9.5,
+    "uom_code": "pcs",
+    "supplier_name": null,
+    "remark": "功能应该情况市场有关是一查看.",
+    "source_system": null,
+    "row_valid_from": "6/12/2025 11:45:45.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "26/12/2025 05:36:09.-1f+00"
+  },
+  {
+    "bom_id": 14,
+    "bom_number": "BOM57164230",
+    "bom_topic": "BOM Topic 13",
+    "is_primary": "t",
+    "level_number": 1,
+    "product_code": "3717251229322",
+    "unit_usage_qty": 2.43,
+    "uom_code": "pcs",
+    "supplier_name": null,
+    "remark": "中国方式电脑情况使用以及那些积分.",
+    "source_system": null,
+    "row_valid_from": "30/11/2025 05:27:42.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "26/12/2025 05:36:09.-1f+00"
+  },
+  {
+    "bom_id": 15,
+    "bom_number": "BOM93108369",
+    "bom_topic": "BOM Topic 14",
+    "is_primary": "f",
+    "level_number": 3,
+    "product_code": "5567459110483",
+    "unit_usage_qty": 3.52,
+    "uom_code": "pcs",
+    "supplier_name": null,
+    "remark": "直接企业发展一点.",
+    "source_system": null,
+    "row_valid_from": "2/12/2025 08:37:40.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "26/12/2025 05:36:09.-1f+00"
+  },
+  {
+    "bom_id": 16,
+    "bom_number": "BOM11354551",
+    "bom_topic": "BOM Topic 15",
+    "is_primary": "f",
+    "level_number": 1,
+    "product_code": "4219806010724",
+    "unit_usage_qty": 5.7,
+    "uom_code": "pcs",
+    "supplier_name": null,
+    "remark": "法律使用同时工作名称应该.",
+    "source_system": null,
+    "row_valid_from": "8/12/2025 15:00:03.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "26/12/2025 05:36:09.-1f+00"
+  },
+  {
+    "bom_id": 17,
+    "bom_number": "BOM81835936",
+    "bom_topic": "BOM Topic 16",
+    "is_primary": "f",
+    "level_number": 1,
+    "product_code": "6664882480851",
+    "unit_usage_qty": 1.75,
+    "uom_code": "pcs",
+    "supplier_name": null,
+    "remark": "而且音乐大学是否本站国内.",
+    "source_system": null,
+    "row_valid_from": "1/12/2025 19:09:50.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "26/12/2025 05:36:09.-1f+00"
+  },
+  {
+    "bom_id": 18,
+    "bom_number": "BOM50885655",
+    "bom_topic": "BOM Topic 17",
+    "is_primary": "t",
+    "level_number": 2,
+    "product_code": "8442282024091",
+    "unit_usage_qty": 5.72,
+    "uom_code": "pcs",
+    "supplier_name": null,
+    "remark": "设备设备政府到了时间.",
+    "source_system": null,
+    "row_valid_from": "7/12/2025 14:54:51.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "26/12/2025 05:36:09.-1f+00"
+  },
+  {
+    "bom_id": 19,
+    "bom_number": "BOM33362097",
+    "bom_topic": "BOM Topic 18",
+    "is_primary": "f",
+    "level_number": 2,
+    "product_code": "9499708203973",
+    "unit_usage_qty": 9.05,
+    "uom_code": "pcs",
+    "supplier_name": null,
+    "remark": "不同然后当前或者其实城市.",
+    "source_system": null,
+    "row_valid_from": "13/12/2025 17:05:21.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "26/12/2025 05:36:09.-1f+00"
+  },
+  {
+    "bom_id": 20,
+    "bom_number": "BOM26137367",
+    "bom_topic": "BOM Topic 19",
+    "is_primary": "t",
+    "level_number": 3,
+    "product_code": "6791611168077",
+    "unit_usage_qty": 5.75,
+    "uom_code": "pcs",
+    "supplier_name": null,
+    "remark": "方面数据那么免费.",
+    "source_system": null,
+    "row_valid_from": "25/12/2025 05:34:17.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "26/12/2025 05:36:09.-1f+00"
+  }
+]

sql/dim_contract.json

@@ -0,0 +1,542 @@
+[
+  {
+    "contract_id": 3,
+    "contract_number": "CTR81660784",
+    "contract_name": "更多联系加入或者.合同",
+    "customer_name": null,
+    "contract_amount": 684365.31,
+    "order_time_utc": "18/12/2025 00:04:21.-1f+00",
+    "paid_amount": null,
+    "unpaid_amount": null,
+    "stage": null,
+    "result": null,
+    "contract_type": null,
+    "source_system": null,
+    "row_valid_from": "27/11/2025 18:52:59.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "25/12/2025 19:16:27.-1f+00"
+  },
+  {
+    "contract_id": 4,
+    "contract_number": "CTR44307806",
+    "contract_name": "的话美国.合同",
+    "customer_name": null,
+    "contract_amount": 97780.58,
+    "order_time_utc": "6/12/2025 20:41:45.-1f+00",
+    "paid_amount": null,
+    "unpaid_amount": null,
+    "stage": null,
+    "result": null,
+    "contract_type": null,
+    "source_system": null,
+    "row_valid_from": "23/12/2025 14:55:12.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "25/12/2025 19:16:27.-1f+00"
+  },
+  {
+    "contract_id": 5,
+    "contract_number": "CTR58345859",
+    "contract_name": "国际组织.合同",
+    "customer_name": null,
+    "contract_amount": 252590.8,
+    "order_time_utc": "22/12/2025 19:13:20.-1f+00",
+    "paid_amount": null,
+    "unpaid_amount": null,
+    "stage": null,
+    "result": null,
+    "contract_type": null,
+    "source_system": null,
+    "row_valid_from": "4/12/2025 05:51:48.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "25/12/2025 19:16:27.-1f+00"
+  },
+  {
+    "contract_id": 6,
+    "contract_number": "CTR17278314",
+    "contract_name": "名称为了发布.合同",
+    "customer_name": null,
+    "contract_amount": 707451.78,
+    "order_time_utc": "11/12/2025 06:31:45.-1f+00",
+    "paid_amount": null,
+    "unpaid_amount": null,
+    "stage": null,
+    "result": null,
+    "contract_type": null,
+    "source_system": null,
+    "row_valid_from": "21/12/2025 08:48:42.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "25/12/2025 19:16:27.-1f+00"
+  },
+  {
+    "contract_id": 7,
+    "contract_number": "CTR98700043",
+    "contract_name": "支持经营资源.合同",
+    "customer_name": null,
+    "contract_amount": 969842.7,
+    "order_time_utc": "4/12/2025 09:11:28.-1f+00",
+    "paid_amount": null,
+    "unpaid_amount": null,
+    "stage": null,
+    "result": null,
+    "contract_type": null,
+    "source_system": null,
+    "row_valid_from": "5/12/2025 16:14:59.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "25/12/2025 19:16:27.-1f+00"
+  },
+  {
+    "contract_id": 8,
+    "contract_number": "CTR22254085",
+    "contract_name": "的话任何.合同",
+    "customer_name": null,
+    "contract_amount": 904551.51,
+    "order_time_utc": "2/12/2025 01:32:08.-1f+00",
+    "paid_amount": null,
+    "unpaid_amount": null,
+    "stage": null,
+    "result": null,
+    "contract_type": null,
+    "source_system": null,
+    "row_valid_from": "21/12/2025 05:03:27.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "25/12/2025 19:16:27.-1f+00"
+  },
+  {
+    "contract_id": 9,
+    "contract_number": "CTR7590087",
+    "contract_name": "只有然后一个.合同",
+    "customer_name": null,
+    "contract_amount": 35986.23,
+    "order_time_utc": "24/12/2025 01:57:14.-1f+00",
+    "paid_amount": null,
+    "unpaid_amount": null,
+    "stage": null,
+    "result": null,
+    "contract_type": null,
+    "source_system": null,
+    "row_valid_from": "10/12/2025 06:43:42.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "25/12/2025 19:16:27.-1f+00"
+  },
+  {
+    "contract_id": 10,
+    "contract_number": "CTR5777267",
+    "contract_name": "原因位置一些.合同",
+    "customer_name": null,
+    "contract_amount": 529490.38,
+    "order_time_utc": "27/11/2025 13:49:57.-1f+00",
+    "paid_amount": null,
+    "unpaid_amount": null,
+    "stage": null,
+    "result": null,
+    "contract_type": null,
+    "source_system": null,
+    "row_valid_from": "27/11/2025 02:14:05.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "25/12/2025 19:16:27.-1f+00"
+  },
+  {
+    "contract_id": 11,
+    "contract_number": "CTR67862033",
+    "contract_name": "孩子用户.合同",
+    "customer_name": null,
+    "contract_amount": 530066.09,
+    "order_time_utc": "18/12/2025 06:58:22.-1f+00",
+    "paid_amount": null,
+    "unpaid_amount": null,
+    "stage": null,
+    "result": null,
+    "contract_type": null,
+    "source_system": null,
+    "row_valid_from": "13/12/2025 21:13:10.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "25/12/2025 19:16:27.-1f+00"
+  },
+  {
+    "contract_id": 12,
+    "contract_number": "CTR60857461",
+    "contract_name": "可是.合同",
+    "customer_name": null,
+    "contract_amount": 415796.85,
+    "order_time_utc": "4/12/2025 04:38:37.-1f+00",
+    "paid_amount": null,
+    "unpaid_amount": null,
+    "stage": null,
+    "result": null,
+    "contract_type": null,
+    "source_system": null,
+    "row_valid_from": "30/11/2025 23:47:38.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "25/12/2025 19:16:27.-1f+00"
+  },
+  {
+    "contract_id": 13,
+    "contract_number": "CTR80556762",
+    "contract_name": "对于包括.合同",
+    "customer_name": null,
+    "contract_amount": 731515.19,
+    "order_time_utc": "14/12/2025 14:00:18.-1f+00",
+    "paid_amount": null,
+    "unpaid_amount": null,
+    "stage": null,
+    "result": null,
+    "contract_type": null,
+    "source_system": null,
+    "row_valid_from": "7/12/2025 14:48:40.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "25/12/2025 19:16:27.-1f+00"
+  },
+  {
+    "contract_id": 14,
+    "contract_number": "CTR98887875",
+    "contract_name": "社区数据.合同",
+    "customer_name": null,
+    "contract_amount": 622814.77,
+    "order_time_utc": "6/12/2025 10:52:49.-1f+00",
+    "paid_amount": null,
+    "unpaid_amount": null,
+    "stage": null,
+    "result": null,
+    "contract_type": null,
+    "source_system": null,
+    "row_valid_from": "14/12/2025 13:06:31.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "25/12/2025 19:16:27.-1f+00"
+  },
+  {
+    "contract_id": 15,
+    "contract_number": "CTR6024758",
+    "contract_name": "空间一切.合同",
+    "customer_name": null,
+    "contract_amount": 724038.19,
+    "order_time_utc": "4/12/2025 03:02:50.-1f+00",
+    "paid_amount": null,
+    "unpaid_amount": null,
+    "stage": null,
+    "result": null,
+    "contract_type": null,
+    "source_system": null,
+    "row_valid_from": "9/12/2025 02:28:13.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "25/12/2025 19:16:27.-1f+00"
+  },
+  {
+    "contract_id": 16,
+    "contract_number": "CTR25809063",
+    "contract_name": "资源以后.合同",
+    "customer_name": null,
+    "contract_amount": 536320.63,
+    "order_time_utc": "7/12/2025 11:53:48.-1f+00",
+    "paid_amount": null,
+    "unpaid_amount": null,
+    "stage": null,
+    "result": null,
+    "contract_type": null,
+    "source_system": null,
+    "row_valid_from": "27/11/2025 06:18:16.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "25/12/2025 19:16:27.-1f+00"
+  },
+  {
+    "contract_id": 17,
+    "contract_number": "CTR96148770",
+    "contract_name": "业务继续上海.合同",
+    "customer_name": null,
+    "contract_amount": 694490.64,
+    "order_time_utc": "8/12/2025 08:18:33.-1f+00",
+    "paid_amount": null,
+    "unpaid_amount": null,
+    "stage": null,
+    "result": null,
+    "contract_type": null,
+    "source_system": null,
+    "row_valid_from": "8/12/2025 08:52:05.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "26/12/2025 05:36:09.-1f+00"
+  },
+  {
+    "contract_id": 18,
+    "contract_number": "CTR13885019",
+    "contract_name": "然后信息学校那么.合同",
+    "customer_name": null,
+    "contract_amount": 982606.97,
+    "order_time_utc": "22/12/2025 04:50:54.-1f+00",
+    "paid_amount": null,
+    "unpaid_amount": null,
+    "stage": null,
+    "result": null,
+    "contract_type": null,
+    "source_system": null,
+    "row_valid_from": "17/12/2025 22:04:41.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "26/12/2025 05:36:09.-1f+00"
+  },
+  {
+    "contract_id": 19,
+    "contract_number": "CTR37965955",
+    "contract_name": "朋友能够工具.合同",
+    "customer_name": null,
+    "contract_amount": 130765.57,
+    "order_time_utc": "16/12/2025 09:49:04.-1f+00",
+    "paid_amount": null,
+    "unpaid_amount": null,
+    "stage": null,
+    "result": null,
+    "contract_type": null,
+    "source_system": null,
+    "row_valid_from": "12/12/2025 23:28:13.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "26/12/2025 05:36:09.-1f+00"
+  },
+  {
+    "contract_id": 20,
+    "contract_number": "CTR98917999",
+    "contract_name": "不会成功.合同",
+    "customer_name": null,
+    "contract_amount": 870232.96,
+    "order_time_utc": "12/12/2025 01:29:33.-1f+00",
+    "paid_amount": null,
+    "unpaid_amount": null,
+    "stage": null,
+    "result": null,
+    "contract_type": null,
+    "source_system": null,
+    "row_valid_from": "9/12/2025 14:02:34.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "26/12/2025 05:36:09.-1f+00"
+  },
+  {
+    "contract_id": 21,
+    "contract_number": "CTR28931818",
+    "contract_name": "查看其实用户.合同",
+    "customer_name": null,
+    "contract_amount": 482313.74,
+    "order_time_utc": "5/12/2025 05:53:42.-1f+00",
+    "paid_amount": null,
+    "unpaid_amount": null,
+    "stage": null,
+    "result": null,
+    "contract_type": null,
+    "source_system": null,
+    "row_valid_from": "20/12/2025 22:05:19.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "26/12/2025 05:36:09.-1f+00"
+  },
+  {
+    "contract_id": 22,
+    "contract_number": "CTR31758458",
+    "contract_name": "为了情况公司以下.合同",
+    "customer_name": null,
+    "contract_amount": 974632.67,
+    "order_time_utc": "13/12/2025 16:19:05.-1f+00",
+    "paid_amount": null,
+    "unpaid_amount": null,
+    "stage": null,
+    "result": null,
+    "contract_type": null,
+    "source_system": null,
+    "row_valid_from": "13/12/2025 11:08:38.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "26/12/2025 05:36:09.-1f+00"
+  },
+  {
+    "contract_id": 23,
+    "contract_number": "CTR5209037",
+    "contract_name": "发展中文结果没有.合同",
+    "customer_name": null,
+    "contract_amount": 159419.49,
+    "order_time_utc": "15/12/2025 19:30:03.-1f+00",
+    "paid_amount": null,
+    "unpaid_amount": null,
+    "stage": null,
+    "result": null,
+    "contract_type": null,
+    "source_system": null,
+    "row_valid_from": "21/12/2025 16:46:58.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "26/12/2025 05:36:09.-1f+00"
+  },
+  {
+    "contract_id": 24,
+    "contract_number": "CTR8945482",
+    "contract_name": "经济.合同",
+    "customer_name": null,
+    "contract_amount": 420611.41,
+    "order_time_utc": "23/12/2025 12:06:27.-1f+00",
+    "paid_amount": null,
+    "unpaid_amount": null,
+    "stage": null,
+    "result": null,
+    "contract_type": null,
+    "source_system": null,
+    "row_valid_from": "10/12/2025 05:38:43.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "26/12/2025 05:36:09.-1f+00"
+  },
+  {
+    "contract_id": 25,
+    "contract_number": "CTR83820527",
+    "contract_name": "文章其他一起.合同",
+    "customer_name": null,
+    "contract_amount": 253462.37,
+    "order_time_utc": "15/12/2025 23:04:26.-1f+00",
+    "paid_amount": null,
+    "unpaid_amount": null,
+    "stage": null,
+    "result": null,
+    "contract_type": null,
+    "source_system": null,
+    "row_valid_from": "2/12/2025 05:18:41.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "26/12/2025 05:36:09.-1f+00"
+  },
+  {
+    "contract_id": 26,
+    "contract_number": "CTR61523978",
+    "contract_name": "上海注意孩子.合同",
+    "customer_name": null,
+    "contract_amount": 121050.22,
+    "order_time_utc": "2/12/2025 14:15:52.-1f+00",
+    "paid_amount": null,
+    "unpaid_amount": null,
+    "stage": null,
+    "result": null,
+    "contract_type": null,
+    "source_system": null,
+    "row_valid_from": "1/12/2025 07:34:11.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "26/12/2025 05:36:09.-1f+00"
+  },
+  {
+    "contract_id": 27,
+    "contract_number": "CTR65179592",
+    "contract_name": "以上由于非常增加.合同",
+    "customer_name": null,
+    "contract_amount": 42397.07,
+    "order_time_utc": "21/12/2025 10:58:39.-1f+00",
+    "paid_amount": null,
+    "unpaid_amount": null,
+    "stage": null,
+    "result": null,
+    "contract_type": null,
+    "source_system": null,
+    "row_valid_from": "8/12/2025 08:44:14.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "26/12/2025 05:36:09.-1f+00"
+  },
+  {
+    "contract_id": 28,
+    "contract_number": "CTR97766433",
+    "contract_name": "注意只要.合同",
+    "customer_name": null,
+    "contract_amount": 755586.05,
+    "order_time_utc": "30/11/2025 01:04:06.-1f+00",
+    "paid_amount": null,
+    "unpaid_amount": null,
+    "stage": null,
+    "result": null,
+    "contract_type": null,
+    "source_system": null,
+    "row_valid_from": "23/12/2025 21:57:28.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "26/12/2025 05:36:09.-1f+00"
+  },
+  {
+    "contract_id": 29,
+    "contract_number": "CTR29842586",
+    "contract_name": "电子科技.合同",
+    "customer_name": null,
+    "contract_amount": 953952.46,
+    "order_time_utc": "3/12/2025 02:58:31.-1f+00",
+    "paid_amount": null,
+    "unpaid_amount": null,
+    "stage": null,
+    "result": null,
+    "contract_type": null,
+    "source_system": null,
+    "row_valid_from": "6/12/2025 12:59:10.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "26/12/2025 05:36:09.-1f+00"
+  },
+  {
+    "contract_id": 30,
+    "contract_number": "CTR86826586",
+    "contract_name": "首页有些完成.合同",
+    "customer_name": null,
+    "contract_amount": 790563.49,
+    "order_time_utc": "5/12/2025 22:28:07.-1f+00",
+    "paid_amount": null,
+    "unpaid_amount": null,
+    "stage": null,
+    "result": null,
+    "contract_type": null,
+    "source_system": null,
+    "row_valid_from": "12/12/2025 03:57:44.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "26/12/2025 05:36:09.-1f+00"
+  },
+  {
+    "contract_id": 31,
+    "contract_number": "CTR82104791",
+    "contract_name": "电脑文件日期的话.合同",
+    "customer_name": null,
+    "contract_amount": 33884.69,
+    "order_time_utc": "22/12/2025 10:05:14.-1f+00",
+    "paid_amount": null,
+    "unpaid_amount": null,
+    "stage": null,
+    "result": null,
+    "contract_type": null,
+    "source_system": null,
+    "row_valid_from": "13/12/2025 08:17:54.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "26/12/2025 05:36:09.-1f+00"
+  },
+  {
+    "contract_id": 2,
+    "contract_number": "CTR43151130",
+    "contract_name": "教育觉得.合同",
+    "customer_name": "华泰通安科技有限公司",
+    "contract_amount": 532915.76,
+    "order_time_utc": "4/12/2025 10:57:23.-1f+00",
+    "paid_amount": null,
+    "unpaid_amount": null,
+    "stage": null,
+    "result": null,
+    "contract_type": null,
+    "source_system": null,
+    "row_valid_from": "30/11/2025 10:50:01.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "25/12/2025 19:16:27.-1f+00"
+  }
+]

sql/dim_customer.json

@@ -0,0 +1,382 @@
+[
+  {
+    "customer_id": 2,
+    "customer_name": "华泰通安科技有限公司",
+    "customer_source": "线下",
+    "phone": "13583837573",
+    "telephone": null,
+    "email": "guiying96@example.net",
+    "customer_level": null,
+    "industry": null,
+    "address": "湖南省阜新县牧野福州路A座 948012",
+    "is_locked": null,
+    "deal_status": null,
+    "last_follow_up_time_utc": null,
+    "source_system": null,
+    "row_valid_from": "19/12/2025 03:38:06.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "25/12/2025 19:16:27.-1f+00"
+  },
+  {
+    "customer_id": 3,
+    "customer_name": "海创网络有限公司",
+    "customer_source": "线下",
+    "phone": "18957536746",
+    "telephone": null,
+    "email": "zzhang@example.com",
+    "customer_level": null,
+    "industry": null,
+    "address": "海南省莉市海陵彭路l座 290465",
+    "is_locked": null,
+    "deal_status": null,
+    "last_follow_up_time_utc": null,
+    "source_system": null,
+    "row_valid_from": "30/11/2025 18:29:01.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "25/12/2025 19:16:27.-1f+00"
+  },
+  {
+    "customer_id": 4,
+    "customer_name": "菊风公司信息有限公司",
+    "customer_source": "线下",
+    "phone": "13504075265",
+    "telephone": null,
+    "email": "xia54@example.com",
+    "customer_level": null,
+    "industry": null,
+    "address": "辽宁省邯郸市淄川兴城路p座 565507",
+    "is_locked": null,
+    "deal_status": null,
+    "last_follow_up_time_utc": null,
+    "source_system": null,
+    "row_valid_from": "20/12/2025 06:40:06.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "25/12/2025 19:16:27.-1f+00"
+  },
+  {
+    "customer_id": 5,
+    "customer_name": "盟新科技有限公司",
+    "customer_source": "线下",
+    "phone": "15814141145",
+    "telephone": null,
+    "email": "momin@example.com",
+    "customer_level": null,
+    "industry": null,
+    "address": "四川省太原市崇文乌鲁木齐街c座 701509",
+    "is_locked": null,
+    "deal_status": null,
+    "last_follow_up_time_utc": null,
+    "source_system": null,
+    "row_valid_from": "17/12/2025 08:45:29.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "25/12/2025 19:16:27.-1f+00"
+  },
+  {
+    "customer_id": 6,
+    "customer_name": "四通传媒有限公司",
+    "customer_source": "线下",
+    "phone": "13715663646",
+    "telephone": null,
+    "email": "taosun@example.com",
+    "customer_level": null,
+    "industry": null,
+    "address": "贵州省桂荣市魏都尹路N座 263707",
+    "is_locked": null,
+    "deal_status": null,
+    "last_follow_up_time_utc": null,
+    "source_system": null,
+    "row_valid_from": "20/12/2025 17:27:20.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "25/12/2025 19:16:27.-1f+00"
+  },
+  {
+    "customer_id": 7,
+    "customer_name": "飞海科技传媒有限公司",
+    "customer_source": "线下",
+    "phone": "13938217533",
+    "telephone": null,
+    "email": "jingzou@example.com",
+    "customer_level": null,
+    "industry": null,
+    "address": "河南省台北市大兴张街O座 373438",
+    "is_locked": null,
+    "deal_status": null,
+    "last_follow_up_time_utc": null,
+    "source_system": null,
+    "row_valid_from": "5/12/2025 01:40:19.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "25/12/2025 19:16:27.-1f+00"
+  },
+  {
+    "customer_id": 8,
+    "customer_name": "易动力科技有限公司",
+    "customer_source": "线上",
+    "phone": "13872486621",
+    "telephone": null,
+    "email": "oqian@example.com",
+    "customer_level": null,
+    "industry": null,
+    "address": "河南省阜新市合川卢路o座 600090",
+    "is_locked": null,
+    "deal_status": null,
+    "last_follow_up_time_utc": null,
+    "source_system": null,
+    "row_valid_from": "11/12/2025 11:41:23.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "25/12/2025 19:16:27.-1f+00"
+  },
+  {
+    "customer_id": 9,
+    "customer_name": "MBP软件网络有限公司",
+    "customer_source": "线上",
+    "phone": "15684801530",
+    "telephone": null,
+    "email": "qiufang@example.net",
+    "customer_level": null,
+    "industry": null,
+    "address": "福建省澳门市城东陈路K座 792594",
+    "is_locked": null,
+    "deal_status": null,
+    "last_follow_up_time_utc": null,
+    "source_system": null,
+    "row_valid_from": "29/11/2025 22:23:16.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "25/12/2025 19:16:27.-1f+00"
+  },
+  {
+    "customer_id": 10,
+    "customer_name": "鑫博腾飞信息有限公司",
+    "customer_source": "线上",
+    "phone": "18503391590",
+    "telephone": null,
+    "email": "lixia@example.org",
+    "customer_level": null,
+    "industry": null,
+    "address": "广东省六安县长寿丁街f座 479607",
+    "is_locked": null,
+    "deal_status": null,
+    "last_follow_up_time_utc": null,
+    "source_system": null,
+    "row_valid_from": "11/12/2025 15:03:47.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "25/12/2025 19:16:27.-1f+00"
+  },
+  {
+    "customer_id": 11,
+    "customer_name": "同兴万点传媒有限公司",
+    "customer_source": "推荐",
+    "phone": "15005909274",
+    "telephone": null,
+    "email": "ming77@example.net",
+    "customer_level": null,
+    "industry": null,
+    "address": "上海市畅县黄浦潮州路Z座 168305",
+    "is_locked": null,
+    "deal_status": null,
+    "last_follow_up_time_utc": null,
+    "source_system": null,
+    "row_valid_from": "27/11/2025 06:37:01.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "25/12/2025 19:16:27.-1f+00"
+  },
+  {
+    "customer_id": 12,
+    "customer_name": "浦华众城信息有限公司",
+    "customer_source": "推荐",
+    "phone": "13436637029",
+    "telephone": null,
+    "email": "qiaofang@example.com",
+    "customer_level": null,
+    "industry": null,
+    "address": "澳门特别行政区梧州市大兴潮州街H座 920472",
+    "is_locked": null,
+    "deal_status": null,
+    "last_follow_up_time_utc": null,
+    "source_system": null,
+    "row_valid_from": "23/12/2025 17:30:53.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "26/12/2025 05:36:09.-1f+00"
+  },
+  {
+    "customer_id": 13,
+    "customer_name": "华成育卓信息有限公司",
+    "customer_source": "线上",
+    "phone": "18668177887",
+    "telephone": null,
+    "email": "guotao@example.com",
+    "customer_level": null,
+    "industry": null,
+    "address": "山西省玉梅市怀柔胡路a座 437143",
+    "is_locked": null,
+    "deal_status": null,
+    "last_follow_up_time_utc": null,
+    "source_system": null,
+    "row_valid_from": "21/12/2025 00:30:52.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "26/12/2025 05:36:09.-1f+00"
+  },
+  {
+    "customer_id": 14,
+    "customer_name": "双敏电子网络有限公司",
+    "customer_source": "线上",
+    "phone": "13556032093",
+    "telephone": null,
+    "email": "mingong@example.com",
+    "customer_level": null,
+    "industry": null,
+    "address": "山西省阜新县滨城何路o座 127755",
+    "is_locked": null,
+    "deal_status": null,
+    "last_follow_up_time_utc": null,
+    "source_system": null,
+    "row_valid_from": "8/12/2025 01:41:03.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "26/12/2025 05:36:09.-1f+00"
+  },
+  {
+    "customer_id": 15,
+    "customer_name": "华成育卓网络有限公司",
+    "customer_source": "线上",
+    "phone": "18853534189",
+    "telephone": null,
+    "email": "qtan@example.org",
+    "customer_level": null,
+    "industry": null,
+    "address": "云南省林市淄川陈街m座 800035",
+    "is_locked": null,
+    "deal_status": null,
+    "last_follow_up_time_utc": null,
+    "source_system": null,
+    "row_valid_from": "30/11/2025 07:30:18.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "26/12/2025 05:36:09.-1f+00"
+  },
+  {
+    "customer_id": 16,
+    "customer_name": "信诚致远网络有限公司",
+    "customer_source": "线上",
+    "phone": "18851352720",
+    "telephone": null,
+    "email": "dren@example.net",
+    "customer_level": null,
+    "industry": null,
+    "address": "山东省广州市璧山赵路U座 774845",
+    "is_locked": null,
+    "deal_status": null,
+    "last_follow_up_time_utc": null,
+    "source_system": null,
+    "row_valid_from": "18/12/2025 05:06:12.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "26/12/2025 05:36:09.-1f+00"
+  },
+  {
+    "customer_id": 17,
+    "customer_name": "毕博诚传媒有限公司",
+    "customer_source": "线下",
+    "phone": "18865747212",
+    "telephone": null,
+    "email": "pinggao@example.com",
+    "customer_level": null,
+    "industry": null,
+    "address": "河北省北镇市魏都哈尔滨路N座 310652",
+    "is_locked": null,
+    "deal_status": null,
+    "last_follow_up_time_utc": null,
+    "source_system": null,
+    "row_valid_from": "11/12/2025 18:21:02.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "26/12/2025 05:36:09.-1f+00"
+  },
+  {
+    "customer_id": 18,
+    "customer_name": "合联电子科技有限公司",
+    "customer_source": "推荐",
+    "phone": "13526318565",
+    "telephone": null,
+    "email": "guiyingwei@example.org",
+    "customer_level": null,
+    "industry": null,
+    "address": "内蒙古自治区静县普陀南京街W座 344461",
+    "is_locked": null,
+    "deal_status": null,
+    "last_follow_up_time_utc": null,
+    "source_system": null,
+    "row_valid_from": "23/12/2025 00:02:08.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "26/12/2025 05:36:09.-1f+00"
+  },
+  {
+    "customer_id": 19,
+    "customer_name": "诺依曼软件科技有限公司",
+    "customer_source": "线下",
+    "phone": "13356911559",
+    "telephone": null,
+    "email": "minxue@example.net",
+    "customer_level": null,
+    "industry": null,
+    "address": "新疆维吾尔自治区阜新市东城邯郸街O座 159144",
+    "is_locked": null,
+    "deal_status": null,
+    "last_follow_up_time_utc": null,
+    "source_system": null,
+    "row_valid_from": "2/12/2025 05:55:01.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "26/12/2025 05:36:09.-1f+00"
+  },
+  {
+    "customer_id": 20,
+    "customer_name": "襄樊地球村科技有限公司",
+    "customer_source": "推荐",
+    "phone": "18249985760",
+    "telephone": null,
+    "email": "jhan@example.net",
+    "customer_level": null,
+    "industry": null,
+    "address": "重庆市昆明市高港张路U座 962119",
+    "is_locked": null,
+    "deal_status": null,
+    "last_follow_up_time_utc": null,
+    "source_system": null,
+    "row_valid_from": "3/12/2025 01:41:25.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "26/12/2025 05:36:09.-1f+00"
+  },
+  {
+    "customer_id": 21,
+    "customer_name": "新宇龙信息传媒有限公司",
+    "customer_source": "线下",
+    "phone": "15988906811",
+    "telephone": null,
+    "email": "mochao@example.com",
+    "customer_level": null,
+    "industry": null,
+    "address": "海南省玉珍市永川袁街r座 604856",
+    "is_locked": null,
+    "deal_status": null,
+    "last_follow_up_time_utc": null,
+    "source_system": null,
+    "row_valid_from": "22/12/2025 18:33:48.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "26/12/2025 05:36:09.-1f+00"
+  }
+]

sql/dim_equipment.json

@@ -0,0 +1,102 @@
+[
+  {
+    "equipment_id": 1,
+    "equipment_number": "EQ4092",
+    "equipment_name": "设备 0",
+    "source_system": null,
+    "row_valid_from": "13/12/2025 11:51:05.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "26/12/2025 05:36:09.-1f+00"
+  },
+  {
+    "equipment_id": 2,
+    "equipment_number": "EQ2399",
+    "equipment_name": "设备 1",
+    "source_system": null,
+    "row_valid_from": "26/11/2025 19:49:01.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "26/12/2025 05:36:09.-1f+00"
+  },
+  {
+    "equipment_id": 3,
+    "equipment_number": "EQ4938",
+    "equipment_name": "设备 2",
+    "source_system": null,
+    "row_valid_from": "24/12/2025 01:48:18.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "26/12/2025 05:36:09.-1f+00"
+  },
+  {
+    "equipment_id": 4,
+    "equipment_number": "EQ2339",
+    "equipment_name": "设备 3",
+    "source_system": null,
+    "row_valid_from": "12/12/2025 05:56:50.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "26/12/2025 05:36:09.-1f+00"
+  },
+  {
+    "equipment_id": 5,
+    "equipment_number": "EQ9168",
+    "equipment_name": "设备 4",
+    "source_system": null,
+    "row_valid_from": "18/12/2025 03:40:39.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "26/12/2025 05:36:09.-1f+00"
+  },
+  {
+    "equipment_id": 6,
+    "equipment_number": "EQ79",
+    "equipment_name": "设备 5",
+    "source_system": null,
+    "row_valid_from": "13/12/2025 11:39:15.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "26/12/2025 05:36:09.-1f+00"
+  },
+  {
+    "equipment_id": 7,
+    "equipment_number": "EQ7709",
+    "equipment_name": "设备 6",
+    "source_system": null,
+    "row_valid_from": "25/12/2025 05:33:52.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "26/12/2025 05:36:09.-1f+00"
+  },
+  {
+    "equipment_id": 8,
+    "equipment_number": "EQ267",
+    "equipment_name": "设备 7",
+    "source_system": null,
+    "row_valid_from": "19/12/2025 10:48:53.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "26/12/2025 05:36:09.-1f+00"
+  },
+  {
+    "equipment_id": 9,
+    "equipment_number": "EQ8412",
+    "equipment_name": "设备 8",
+    "source_system": null,
+    "row_valid_from": "17/12/2025 23:27:19.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "26/12/2025 05:36:09.-1f+00"
+  },
+  {
+    "equipment_id": 10,
+    "equipment_number": "EQ6494",
+    "equipment_name": "设备 9",
+    "source_system": null,
+    "row_valid_from": "16/12/2025 06:33:13.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "26/12/2025 05:36:09.-1f+00"
+  }
+]

sql/dim_operation.json

@@ -0,0 +1,122 @@
+[
+  {
+    "operation_id": 1,
+    "operation_number": "OP0",
+    "operation_name": "组装",
+    "report_permission": "ALL",
+    "report_ratio": 1.0,
+    "source_system": null,
+    "row_valid_from": "12/12/2025 21:08:07.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "26/12/2025 05:36:09.-1f+00"
+  },
+  {
+    "operation_id": 2,
+    "operation_number": "OP10",
+    "operation_name": "测试",
+    "report_permission": "ALL",
+    "report_ratio": 1.0,
+    "source_system": null,
+    "row_valid_from": "12/12/2025 18:31:51.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "26/12/2025 05:36:09.-1f+00"
+  },
+  {
+    "operation_id": 3,
+    "operation_number": "OP20",
+    "operation_name": "测试",
+    "report_permission": "ALL",
+    "report_ratio": 1.0,
+    "source_system": null,
+    "row_valid_from": "6/12/2025 22:57:16.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "26/12/2025 05:36:09.-1f+00"
+  },
+  {
+    "operation_id": 4,
+    "operation_number": "OP30",
+    "operation_name": "焊接",
+    "report_permission": "ALL",
+    "report_ratio": 1.0,
+    "source_system": null,
+    "row_valid_from": "28/11/2025 18:46:36.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "26/12/2025 05:36:09.-1f+00"
+  },
+  {
+    "operation_id": 5,
+    "operation_number": "OP40",
+    "operation_name": "切割",
+    "report_permission": "ALL",
+    "report_ratio": 1.0,
+    "source_system": null,
+    "row_valid_from": "22/12/2025 05:31:31.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "26/12/2025 05:36:09.-1f+00"
+  },
+  {
+    "operation_id": 6,
+    "operation_number": "OP50",
+    "operation_name": "组装",
+    "report_permission": "ALL",
+    "report_ratio": 1.0,
+    "source_system": null,
+    "row_valid_from": "28/11/2025 21:37:44.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "26/12/2025 05:36:09.-1f+00"
+  },
+  {
+    "operation_id": 7,
+    "operation_number": "OP60",
+    "operation_name": "切割",
+    "report_permission": "ALL",
+    "report_ratio": 1.0,
+    "source_system": null,
+    "row_valid_from": "11/12/2025 17:31:04.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "26/12/2025 05:36:09.-1f+00"
+  },
+  {
+    "operation_id": 8,
+    "operation_number": "OP70",
+    "operation_name": "焊接",
+    "report_permission": "ALL",
+    "report_ratio": 1.0,
+    "source_system": null,
+    "row_valid_from": "21/12/2025 15:06:39.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "26/12/2025 05:36:09.-1f+00"
+  },
+  {
+    "operation_id": 9,
+    "operation_number": "OP80",
+    "operation_name": "测试",
+    "report_permission": "ALL",
+    "report_ratio": 1.0,
+    "source_system": null,
+    "row_valid_from": "1/12/2025 06:01:40.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "26/12/2025 05:36:09.-1f+00"
+  },
+  {
+    "operation_id": 10,
+    "operation_number": "OP90",
+    "operation_name": "包装",
+    "report_permission": "ALL",
+    "report_ratio": 1.0,
+    "source_system": null,
+    "row_valid_from": "16/12/2025 15:42:26.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "26/12/2025 05:36:09.-1f+00"
+  }
+]

sql/dim_person.json

@@ -0,0 +1 @@
+[]

sql/dim_product.json

@@ -0,0 +1,962 @@
+[
+  {
+    "product_id": 2,
+    "product_code": "7659126892780",
+    "product_name": "怎么产品",
+    "product_spec": "92x16mm",
+    "product_category": "化工",
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+  }
+]

sql/dim_qc_reason.json

@@ -0,0 +1,52 @@
+[
+  {
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+    "qc_reason_number": "QC822",
+    "qc_reason_name": "尺寸偏差",
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+  },
+  {
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+    "row_valid_from": "7/12/2025 17:10:33.-1f+00",
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+  },
+  {
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+    "qc_reason_number": "QC428",
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+  },
+  {
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+    "qc_reason_number": "QC982",
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+    "row_valid_from": "29/11/2025 00:57:34.-1f+00",
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+    "is_current": "t",
+    "last_updated_utc": "26/12/2025 05:36:09.-1f+00"
+  },
+  {
+    "qc_reason_id": 5,
+    "qc_reason_number": "QC840",
+    "qc_reason_name": "其他",
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+    "row_valid_from": "19/12/2025 10:43:50.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "26/12/2025 05:36:09.-1f+00"
+  }
+]

sql/dim_routing.json

@@ -0,0 +1,112 @@
+[
+  {
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+    "routing_number": "RT928664",
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+    "is_current": "t",
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+  },
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+  },
+  {
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+  },
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+    "is_current": "t",
+    "last_updated_utc": "26/12/2025 05:36:09.-1f+00"
+  },
+  {
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+    "routing_number": "RT314588",
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+    "row_valid_from": "13/12/2025 14:50:52.-1f+00",
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+    "is_current": "t",
+    "last_updated_utc": "26/12/2025 05:36:09.-1f+00"
+  }
+]

sql/dim_supplier.json

@@ -0,0 +1,322 @@
+[
+  {
+    "supplier_id": 2,
+    "supplier_code": "29635153",
+    "supplier_name": "飞利信科技有限公司",
+    "supplier_category": "设备",
+    "supplier_level": null,
+    "address": "香港特别行政区浩县兴山吴街y座 393831",
+    "default_currency_code": null,
+    "settlement_term": null,
+    "contract_expiry_date_utc": null,
+    "source_system": null,
+    "row_valid_from": "25/12/2025 02:24:36.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "25/12/2025 19:16:27.-1f+00"
+  },
+  {
+    "supplier_id": 3,
+    "supplier_code": "60827272",
+    "supplier_name": "迪摩信息有限公司",
+    "supplier_category": "服务",
+    "supplier_level": null,
+    "address": "安徽省天津县西峰刘路D座 348509",
+    "default_currency_code": null,
+    "settlement_term": null,
+    "contract_expiry_date_utc": null,
+    "source_system": null,
+    "row_valid_from": "3/12/2025 00:04:20.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "25/12/2025 19:16:27.-1f+00"
+  },
+  {
+    "supplier_id": 4,
+    "supplier_code": "35503811",
+    "supplier_name": "联软传媒有限公司",
+    "supplier_category": "原料",
+    "supplier_level": null,
+    "address": "天津市南宁县龙潭曹路V座 252377",
+    "default_currency_code": null,
+    "settlement_term": null,
+    "contract_expiry_date_utc": null,
+    "source_system": null,
+    "row_valid_from": "14/12/2025 11:09:32.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "25/12/2025 19:16:27.-1f+00"
+  },
+  {
+    "supplier_id": 5,
+    "supplier_code": "22043849",
+    "supplier_name": "恒聪百汇网络有限公司",
+    "supplier_category": "原料",
+    "supplier_level": null,
+    "address": "青海省昆明市华龙杭州路Y座 224823",
+    "default_currency_code": null,
+    "settlement_term": null,
+    "contract_expiry_date_utc": null,
+    "source_system": null,
+    "row_valid_from": "10/12/2025 16:26:10.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "25/12/2025 19:16:27.-1f+00"
+  },
+  {
+    "supplier_id": 6,
+    "supplier_code": "66344148",
+    "supplier_name": "惠派国际公司科技有限公司",
+    "supplier_category": "服务",
+    "supplier_level": null,
+    "address": "甘肃省敏市大东福州街n座 946705",
+    "default_currency_code": null,
+    "settlement_term": null,
+    "contract_expiry_date_utc": null,
+    "source_system": null,
+    "row_valid_from": "24/12/2025 18:00:21.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "25/12/2025 19:16:27.-1f+00"
+  },
+  {
+    "supplier_id": 7,
+    "supplier_code": "70123661",
+    "supplier_name": "维旺明信息有限公司",
+    "supplier_category": "原料",
+    "supplier_level": null,
+    "address": "福建省张家港市大东易路A座 727921",
+    "default_currency_code": null,
+    "settlement_term": null,
+    "contract_expiry_date_utc": null,
+    "source_system": null,
+    "row_valid_from": "23/12/2025 09:19:05.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "25/12/2025 19:16:27.-1f+00"
+  },
+  {
+    "supplier_id": 8,
+    "supplier_code": "75720629",
+    "supplier_name": "凌云信息有限公司",
+    "supplier_category": "服务",
+    "supplier_level": null,
+    "address": "甘肃省丹县涪城张路S座 323933",
+    "default_currency_code": null,
+    "settlement_term": null,
+    "contract_expiry_date_utc": null,
+    "source_system": null,
+    "row_valid_from": "17/12/2025 18:46:28.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "25/12/2025 19:16:27.-1f+00"
+  },
+  {
+    "supplier_id": 9,
+    "supplier_code": "26315249",
+    "supplier_name": "襄樊地球村网络有限公司",
+    "supplier_category": "服务",
+    "supplier_level": null,
+    "address": "辽宁省沈阳县普陀齐路l座 999109",
+    "default_currency_code": null,
+    "settlement_term": null,
+    "contract_expiry_date_utc": null,
+    "source_system": null,
+    "row_valid_from": "26/11/2025 07:28:39.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "25/12/2025 19:16:27.-1f+00"
+  },
+  {
+    "supplier_id": 10,
+    "supplier_code": "58018903",
+    "supplier_name": "立信电子传媒有限公司",
+    "supplier_category": "原料",
+    "supplier_level": null,
+    "address": "海南省辛集市丰都合肥路r座 299591",
+    "default_currency_code": null,
+    "settlement_term": null,
+    "contract_expiry_date_utc": null,
+    "source_system": null,
+    "row_valid_from": "25/12/2025 14:58:35.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "25/12/2025 19:16:27.-1f+00"
+  },
+  {
+    "supplier_id": 11,
+    "supplier_code": "75456863",
+    "supplier_name": "彩虹信息有限公司",
+    "supplier_category": "服务",
+    "supplier_level": null,
+    "address": "内蒙古自治区冬梅县翔安萧街k座 167178",
+    "default_currency_code": null,
+    "settlement_term": null,
+    "contract_expiry_date_utc": null,
+    "source_system": null,
+    "row_valid_from": "13/12/2025 13:41:25.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "25/12/2025 19:16:27.-1f+00"
+  },
+  {
+    "supplier_id": 12,
+    "supplier_code": "97373285",
+    "supplier_name": "凌云科技有限公司",
+    "supplier_category": "原料",
+    "supplier_level": null,
+    "address": "安徽省桂珍市璧山陈街Q座 440048",
+    "default_currency_code": null,
+    "settlement_term": null,
+    "contract_expiry_date_utc": null,
+    "source_system": null,
+    "row_valid_from": "7/12/2025 23:48:55.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "26/12/2025 05:36:09.-1f+00"
+  },
+  {
+    "supplier_id": 13,
+    "supplier_code": "99941253",
+    "supplier_name": "时空盒数字网络有限公司",
+    "supplier_category": "设备",
+    "supplier_level": null,
+    "address": "内蒙古自治区上海市兴山齐齐哈尔街B座 464689",
+    "default_currency_code": null,
+    "settlement_term": null,
+    "contract_expiry_date_utc": null,
+    "source_system": null,
+    "row_valid_from": "25/12/2025 16:36:23.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "26/12/2025 05:36:09.-1f+00"
+  },
+  {
+    "supplier_id": 14,
+    "supplier_code": "02905303",
+    "supplier_name": "四通网络有限公司",
+    "supplier_category": "服务",
+    "supplier_level": null,
+    "address": "福建省雪县黄浦刘街t座 138434",
+    "default_currency_code": null,
+    "settlement_term": null,
+    "contract_expiry_date_utc": null,
+    "source_system": null,
+    "row_valid_from": "13/12/2025 14:12:50.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "26/12/2025 05:36:09.-1f+00"
+  },
+  {
+    "supplier_id": 15,
+    "supplier_code": "86588577",
+    "supplier_name": "立信电子科技有限公司",
+    "supplier_category": "设备",
+    "supplier_level": null,
+    "address": "山西省雪梅县门头沟通辽路k座 281455",
+    "default_currency_code": null,
+    "settlement_term": null,
+    "contract_expiry_date_utc": null,
+    "source_system": null,
+    "row_valid_from": "27/11/2025 01:31:59.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "26/12/2025 05:36:09.-1f+00"
+  },
+  {
+    "supplier_id": 16,
+    "supplier_code": "72076675",
+    "supplier_name": "华远软件科技有限公司",
+    "supplier_category": "设备",
+    "supplier_level": null,
+    "address": "浙江省欣县城东大冶街Q座 973420",
+    "default_currency_code": null,
+    "settlement_term": null,
+    "contract_expiry_date_utc": null,
+    "source_system": null,
+    "row_valid_from": "29/11/2025 20:36:53.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "26/12/2025 05:36:09.-1f+00"
+  },
+  {
+    "supplier_id": 17,
+    "supplier_code": "80219491",
+    "supplier_name": "佳禾传媒有限公司",
+    "supplier_category": "服务",
+    "supplier_level": null,
+    "address": "甘肃省婷市沙湾蒋路y座 663937",
+    "default_currency_code": null,
+    "settlement_term": null,
+    "contract_expiry_date_utc": null,
+    "source_system": null,
+    "row_valid_from": "25/12/2025 12:55:17.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "26/12/2025 05:36:09.-1f+00"
+  },
+  {
+    "supplier_id": 18,
+    "supplier_code": "22760197",
+    "supplier_name": "毕博诚网络有限公司",
+    "supplier_category": "原料",
+    "supplier_level": null,
+    "address": "内蒙古自治区贵阳县牧野熊街N座 772146",
+    "default_currency_code": null,
+    "settlement_term": null,
+    "contract_expiry_date_utc": null,
+    "source_system": null,
+    "row_valid_from": "18/12/2025 02:26:37.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "26/12/2025 05:36:09.-1f+00"
+  },
+  {
+    "supplier_id": 19,
+    "supplier_code": "07094002",
+    "supplier_name": "明腾传媒有限公司",
+    "supplier_category": "服务",
+    "supplier_level": null,
+    "address": "江苏省柳县孝南曹街U座 889122",
+    "default_currency_code": null,
+    "settlement_term": null,
+    "contract_expiry_date_utc": null,
+    "source_system": null,
+    "row_valid_from": "29/11/2025 22:22:17.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "26/12/2025 05:36:09.-1f+00"
+  },
+  {
+    "supplier_id": 20,
+    "supplier_code": "03450178",
+    "supplier_name": "数字100科技有限公司",
+    "supplier_category": "原料",
+    "supplier_level": null,
+    "address": "江西省丹市沈河哈尔滨街W座 266948",
+    "default_currency_code": null,
+    "settlement_term": null,
+    "contract_expiry_date_utc": null,
+    "source_system": null,
+    "row_valid_from": "28/11/2025 08:58:38.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "26/12/2025 05:36:09.-1f+00"
+  },
+  {
+    "supplier_id": 21,
+    "supplier_code": "39872104",
+    "supplier_name": "恒聪百汇信息有限公司",
+    "supplier_category": "设备",
+    "supplier_level": null,
+    "address": "内蒙古自治区建军市白云齐街I座 845016",
+    "default_currency_code": null,
+    "settlement_term": null,
+    "contract_expiry_date_utc": null,
+    "source_system": null,
+    "row_valid_from": "22/12/2025 03:26:55.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "26/12/2025 05:36:09.-1f+00"
+  }
+]

sql/dim_warehouse.json

@@ -0,0 +1,132 @@
+[
+  {
+    "warehouse_id": 2,
+    "warehouse_code": "WH001",
+    "warehouse_name": "淑珍市仓库",
+    "warehouse_type": "原料仓",
+    "status": "ENABLED",
+    "address": null,
+    "source_system": null,
+    "row_valid_from": "10/12/2025 07:16:46.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "25/12/2025 19:16:27.-1f+00"
+  },
+  {
+    "warehouse_id": 3,
+    "warehouse_code": "WH002",
+    "warehouse_name": "强市仓库",
+    "warehouse_type": "成品仓",
+    "status": "ENABLED",
+    "address": null,
+    "source_system": null,
+    "row_valid_from": "13/12/2025 20:58:57.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "25/12/2025 19:16:27.-1f+00"
+  },
+  {
+    "warehouse_id": 4,
+    "warehouse_code": "WH003",
+    "warehouse_name": "秀兰县仓库",
+    "warehouse_type": "原料仓",
+    "status": "ENABLED",
+    "address": null,
+    "source_system": null,
+    "row_valid_from": "13/12/2025 22:49:34.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "25/12/2025 19:16:27.-1f+00"
+  },
+  {
+    "warehouse_id": 5,
+    "warehouse_code": "WH004",
+    "warehouse_name": "太原县仓库",
+    "warehouse_type": "原料仓",
+    "status": "ENABLED",
+    "address": null,
+    "source_system": null,
+    "row_valid_from": "15/12/2025 19:11:19.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "25/12/2025 19:16:27.-1f+00"
+  },
+  {
+    "warehouse_id": 6,
+    "warehouse_code": "WH005",
+    "warehouse_name": "宇市仓库",
+    "warehouse_type": "原料仓",
+    "status": "ENABLED",
+    "address": null,
+    "source_system": null,
+    "row_valid_from": "7/12/2025 22:34:16.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "25/12/2025 19:16:27.-1f+00"
+  },
+  {
+    "warehouse_id": 7,
+    "warehouse_code": "WH001",
+    "warehouse_name": "杰市仓库",
+    "warehouse_type": "成品仓",
+    "status": "ENABLED",
+    "address": null,
+    "source_system": null,
+    "row_valid_from": "24/12/2025 19:41:23.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "26/12/2025 05:36:09.-1f+00"
+  },
+  {
+    "warehouse_id": 8,
+    "warehouse_code": "WH002",
+    "warehouse_name": "宇市仓库",
+    "warehouse_type": "成品仓",
+    "status": "ENABLED",
+    "address": null,
+    "source_system": null,
+    "row_valid_from": "4/12/2025 02:48:58.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "26/12/2025 05:36:09.-1f+00"
+  },
+  {
+    "warehouse_id": 9,
+    "warehouse_code": "WH003",
+    "warehouse_name": "海口市仓库",
+    "warehouse_type": "成品仓",
+    "status": "ENABLED",
+    "address": null,
+    "source_system": null,
+    "row_valid_from": "26/12/2025 10:22:29.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "26/12/2025 05:36:09.-1f+00"
+  },
+  {
+    "warehouse_id": 10,
+    "warehouse_code": "WH004",
+    "warehouse_name": "鹏市仓库",
+    "warehouse_type": "原料仓",
+    "status": "ENABLED",
+    "address": null,
+    "source_system": null,
+    "row_valid_from": "4/12/2025 22:55:06.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "26/12/2025 05:36:09.-1f+00"
+  },
+  {
+    "warehouse_id": 11,
+    "warehouse_code": "WH005",
+    "warehouse_name": "斌市仓库",
+    "warehouse_type": "原料仓",
+    "status": "ENABLED",
+    "address": null,
+    "source_system": null,
+    "row_valid_from": "10/12/2025 09:23:32.-1f+00",
+    "row_valid_to": "31/12/9999 15:59:59+00",
+    "is_current": "t",
+    "last_updated_utc": "26/12/2025 05:36:09.-1f+00"
+  }
+]

sql/fact_ap_payment.json

@@ -0,0 +1,422 @@
+[
+  {
+    "ap_payment_id": 1,
+    "doc_number": "AP22766562",
+    "doc_type": "PAYMENT",
+    "supplier_id": 6,
+    "contract_id": null,
+    "doc_date_utc": "9/2/2025 16:00:00+00",
+    "currency_code": null,
+    "fx_rate": null,
+    "amount": 25906.71,
+    "amount_base": null,
+    "fee_amount": null,
+    "discount_amount": null,
+    "write_off_amount": null,
+    "written_off_amount": null,
+    "unwritten_off_amount": null,
+    "related_doc_number": null,
+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
+    "ap_payment_id": 2,
+    "doc_number": "AP88974654",
+    "doc_type": "PAYMENT",
+    "supplier_id": 8,
+    "contract_id": null,
+    "doc_date_utc": "16/11/2025 16:00:00+00",
+    "currency_code": null,
+    "fx_rate": null,
+    "amount": 37620.28,
+    "amount_base": null,
+    "fee_amount": null,
+    "discount_amount": null,
+    "write_off_amount": null,
+    "written_off_amount": null,
+    "unwritten_off_amount": null,
+    "related_doc_number": null,
+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
+    "ap_payment_id": 3,
+    "doc_number": "AP80527903",
+    "doc_type": "PAYMENT",
+    "supplier_id": 1,
+    "contract_id": null,
+    "doc_date_utc": "17/12/2025 16:00:00+00",
+    "currency_code": null,
+    "fx_rate": null,
+    "amount": 27273.98,
+    "amount_base": null,
+    "fee_amount": null,
+    "discount_amount": null,
+    "write_off_amount": null,
+    "written_off_amount": null,
+    "unwritten_off_amount": null,
+    "related_doc_number": null,
+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
+    "ap_payment_id": 4,
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+  },
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+  },
+  {
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+    "doc_number": "AP30326495",
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+  },
+  {
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+  },
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+  },
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+    "doc_number": "AP83466622",
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+  },
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+  },
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+  },
+  {
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+    "doc_number": "AP33958730",
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+  },
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+    "doc_number": "AP18134079",
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+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
+    "ap_payment_id": 20,
+    "doc_number": "AP16449942",
+    "doc_type": "PAYMENT",
+    "supplier_id": 1,
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+    "doc_date_utc": "16/5/2025 16:00:00+00",
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+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  }
+]

sql/fact_ar_receipt.json

@@ -0,0 +1,422 @@
+[
+  {
+    "ar_receipt_id": 1,
+    "doc_number": "AR7319819",
+    "doc_type": "RECEIPT",
+    "customer_id": 2,
+    "contract_id": null,
+    "doc_date_utc": "29/5/2025 16:00:00+00",
+    "currency_code": null,
+    "fx_rate": null,
+    "amount": 41230.16,
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+    "related_doc_number": null,
+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
+    "ar_receipt_id": 2,
+    "doc_number": "AR97132012",
+    "doc_type": "RECEIPT",
+    "customer_id": 10,
+    "contract_id": null,
+    "doc_date_utc": "27/6/2025 16:00:00+00",
+    "currency_code": null,
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+    "amount": 45220.89,
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+    "related_doc_number": null,
+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
+    "ar_receipt_id": 3,
+    "doc_number": "AR60123143",
+    "doc_type": "RECEIPT",
+    "customer_id": 4,
+    "contract_id": null,
+    "doc_date_utc": "31/1/2025 16:00:00+00",
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+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
+    "ar_receipt_id": 4,
+    "doc_number": "AR80668128",
+    "doc_type": "RECEIPT",
+    "customer_id": 4,
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+    "doc_date_utc": "24/8/2025 16:00:00+00",
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+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
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+    "doc_number": "AR8000318",
+    "doc_type": "RECEIPT",
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+    "doc_date_utc": "6/2/2025 16:00:00+00",
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+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
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+    "doc_number": "AR41555486",
+    "doc_type": "RECEIPT",
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+    "doc_date_utc": "10/12/2025 16:00:00+00",
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+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
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+    "doc_number": "AR97684129",
+    "doc_type": "RECEIPT",
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+    "doc_date_utc": "6/3/2025 16:00:00+00",
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+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
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+    "doc_number": "AR8875506",
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+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
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+    "doc_number": "AR88315098",
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+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
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+    "doc_number": "AR93427405",
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+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
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+    "doc_number": "AR93851917",
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+    "doc_date_utc": "14/10/2025 16:00:00+00",
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+  },
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+  },
+  {
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+  },
+  {
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+  },
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+    "doc_number": "AR60241043",
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+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  }
+]

sql/fact_cash_flow.json

@@ -0,0 +1,322 @@
+[
+  {
+    "cash_flow_id": 1,
+    "doc_number": "CF6768483",
+    "doc_type": "CASHFLOW",
+    "account_name": null,
+    "doc_date_utc": null,
+    "business_type": null,
+    "income_amount": 256.26,
+    "expense_amount": 1306.72,
+    "balance_amount": null,
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+    "remark": null,
+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
+    "cash_flow_id": 2,
+    "doc_number": "CF3288503",
+    "doc_type": "CASHFLOW",
+    "account_name": null,
+    "doc_date_utc": null,
+    "business_type": null,
+    "income_amount": 1739.28,
+    "expense_amount": 440.53,
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+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
+    "cash_flow_id": 3,
+    "doc_number": "CF39687070",
+    "doc_type": "CASHFLOW",
+    "account_name": null,
+    "doc_date_utc": null,
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+    "income_amount": 4150.02,
+    "expense_amount": 2808.29,
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+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
+    "cash_flow_id": 4,
+    "doc_number": "CF5123241",
+    "doc_type": "CASHFLOW",
+    "account_name": null,
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+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
+    "cash_flow_id": 5,
+    "doc_number": "CF92582604",
+    "doc_type": "CASHFLOW",
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+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
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+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
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+    "doc_number": "CF69107956",
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+  },
+  {
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+    "doc_number": "CF12203628",
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+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
+    "cash_flow_id": 9,
+    "doc_number": "CF96412637",
+    "doc_type": "CASHFLOW",
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+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
+    "cash_flow_id": 10,
+    "doc_number": "CF12272309",
+    "doc_type": "CASHFLOW",
+    "account_name": null,
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+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
+    "cash_flow_id": 11,
+    "doc_number": "CF19227489",
+    "doc_type": "CASHFLOW",
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+    "doc_date_utc": null,
+    "business_type": null,
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+    "expense_amount": 4641.33,
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+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
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+    "doc_number": "CF71604298",
+    "doc_type": "CASHFLOW",
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+    "balance_amount": null,
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+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
+    "cash_flow_id": 13,
+    "doc_number": "CF94626179",
+    "doc_type": "CASHFLOW",
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+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
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+    "doc_number": "CF89012391",
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+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
+    "cash_flow_id": 15,
+    "doc_number": "CF67343535",
+    "doc_type": "CASHFLOW",
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+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
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+    "doc_number": "CF22081511",
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+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
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+    "doc_number": "CF96019961",
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+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
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+    "doc_number": "CF92790804",
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+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
+    "cash_flow_id": 19,
+    "doc_number": "CF93146536",
+    "doc_type": "CASHFLOW",
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+    "business_type": null,
+    "income_amount": 8435.89,
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+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
+    "cash_flow_id": 20,
+    "doc_number": "CF37862214",
+    "doc_type": "CASHFLOW",
+    "account_name": null,
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+    "income_amount": 2913.84,
+    "expense_amount": 4442.69,
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+    "remark": null,
+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  }
+]

sql/fact_commission.json

@@ -0,0 +1,192 @@
+[
+  {
+    "commission_id": 1,
+    "commission_person": "吴建",
+    "department": null,
+    "commission_rate_pct": null,
+    "coefficient": null,
+    "receivable_commission": 739.75,
+    "received_commission": null,
+    "contract_id": null,
+    "customer_id": null,
+    "product_name": null,
+    "opportunity_name": null,
+    "contract_amount": null,
+    "deal_time_utc": null,
+    "is_invoiced": null,
+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
+    "commission_id": 2,
+    "commission_person": "赵雪",
+    "department": null,
+    "commission_rate_pct": null,
+    "coefficient": null,
+    "receivable_commission": 316.02,
+    "received_commission": null,
+    "contract_id": null,
+    "customer_id": null,
+    "product_name": null,
+    "opportunity_name": null,
+    "contract_amount": null,
+    "deal_time_utc": null,
+    "is_invoiced": null,
+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
+    "commission_id": 3,
+    "commission_person": "任龙",
+    "department": null,
+    "commission_rate_pct": null,
+    "coefficient": null,
+    "receivable_commission": 872.32,
+    "received_commission": null,
+    "contract_id": null,
+    "customer_id": null,
+    "product_name": null,
+    "opportunity_name": null,
+    "contract_amount": null,
+    "deal_time_utc": null,
+    "is_invoiced": null,
+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
+    "commission_id": 4,
+    "commission_person": "徐涛",
+    "department": null,
+    "commission_rate_pct": null,
+    "coefficient": null,
+    "receivable_commission": 139.82,
+    "received_commission": null,
+    "contract_id": null,
+    "customer_id": null,
+    "product_name": null,
+    "opportunity_name": null,
+    "contract_amount": null,
+    "deal_time_utc": null,
+    "is_invoiced": null,
+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
+    "commission_id": 5,
+    "commission_person": "王秀珍",
+    "department": null,
+    "commission_rate_pct": null,
+    "coefficient": null,
+    "receivable_commission": 269.59,
+    "received_commission": null,
+    "contract_id": null,
+    "customer_id": null,
+    "product_name": null,
+    "opportunity_name": null,
+    "contract_amount": null,
+    "deal_time_utc": null,
+    "is_invoiced": null,
+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
+    "commission_id": 6,
+    "commission_person": "杨婷婷",
+    "department": null,
+    "commission_rate_pct": null,
+    "coefficient": null,
+    "receivable_commission": 228.49,
+    "received_commission": null,
+    "contract_id": null,
+    "customer_id": null,
+    "product_name": null,
+    "opportunity_name": null,
+    "contract_amount": null,
+    "deal_time_utc": null,
+    "is_invoiced": null,
+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
+    "commission_id": 7,
+    "commission_person": "王秀芳",
+    "department": null,
+    "commission_rate_pct": null,
+    "coefficient": null,
+    "receivable_commission": 919.07,
+    "received_commission": null,
+    "contract_id": null,
+    "customer_id": null,
+    "product_name": null,
+    "opportunity_name": null,
+    "contract_amount": null,
+    "deal_time_utc": null,
+    "is_invoiced": null,
+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
+    "commission_id": 8,
+    "commission_person": "刘芳",
+    "department": null,
+    "commission_rate_pct": null,
+    "coefficient": null,
+    "receivable_commission": 524.2,
+    "received_commission": null,
+    "contract_id": null,
+    "customer_id": null,
+    "product_name": null,
+    "opportunity_name": null,
+    "contract_amount": null,
+    "deal_time_utc": null,
+    "is_invoiced": null,
+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
+    "commission_id": 9,
+    "commission_person": "郑林",
+    "department": null,
+    "commission_rate_pct": null,
+    "coefficient": null,
+    "receivable_commission": 987.76,
+    "received_commission": null,
+    "contract_id": null,
+    "customer_id": null,
+    "product_name": null,
+    "opportunity_name": null,
+    "contract_amount": null,
+    "deal_time_utc": null,
+    "is_invoiced": null,
+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
+    "commission_id": 10,
+    "commission_person": "朱帅",
+    "department": null,
+    "commission_rate_pct": null,
+    "coefficient": null,
+    "receivable_commission": 958.02,
+    "received_commission": null,
+    "contract_id": null,
+    "customer_id": null,
+    "product_name": null,
+    "opportunity_name": null,
+    "contract_amount": null,
+    "deal_time_utc": null,
+    "is_invoiced": null,
+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  }
+]

sql/fact_inventory_count.json

@@ -0,0 +1,102 @@
+[
+  {
+    "inventory_count_id": 1,
+    "count_number": "CNT55217992",
+    "warehouse_name": null,
+    "count_name": null,
+    "count_time_utc": "25/9/2025 16:00:00+00",
+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
+    "inventory_count_id": 2,
+    "count_number": "CNT11377040",
+    "warehouse_name": null,
+    "count_name": null,
+    "count_time_utc": "20/4/2025 16:00:00+00",
+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
+    "inventory_count_id": 3,
+    "count_number": "CNT94805545",
+    "warehouse_name": null,
+    "count_name": null,
+    "count_time_utc": "5/10/2025 16:00:00+00",
+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
+    "inventory_count_id": 4,
+    "count_number": "CNT64741450",
+    "warehouse_name": null,
+    "count_name": null,
+    "count_time_utc": "23/1/2025 16:00:00+00",
+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
+    "inventory_count_id": 5,
+    "count_number": "CNT89069471",
+    "warehouse_name": null,
+    "count_name": null,
+    "count_time_utc": "16/6/2025 16:00:00+00",
+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
+    "inventory_count_id": 6,
+    "count_number": "CNT6215086",
+    "warehouse_name": null,
+    "count_name": null,
+    "count_time_utc": "17/12/2025 16:00:00+00",
+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
+    "inventory_count_id": 7,
+    "count_number": "CNT72116393",
+    "warehouse_name": null,
+    "count_name": null,
+    "count_time_utc": "12/1/2025 16:00:00+00",
+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
+    "inventory_count_id": 8,
+    "count_number": "CNT25970731",
+    "warehouse_name": null,
+    "count_name": null,
+    "count_time_utc": "20/12/2025 16:00:00+00",
+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
+    "inventory_count_id": 9,
+    "count_number": "CNT96428082",
+    "warehouse_name": null,
+    "count_name": null,
+    "count_time_utc": "5/9/2025 16:00:00+00",
+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
+    "inventory_count_id": 10,
+    "count_number": "CNT32858501",
+    "warehouse_name": null,
+    "count_name": null,
+    "count_time_utc": "1/6/2025 16:00:00+00",
+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  }
+]

sql/fact_inventory_transfer.json

@@ -0,0 +1,122 @@
+[
+  {
+    "inventory_transfer_id": 1,
+    "transfer_number": "TR86704957",
+    "transfer_name": null,
+    "tag": null,
+    "transfer_time_utc": "12/9/2025 16:00:00+00",
+    "plate_number": null,
+    "delivery_mode": null,
+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
+    "inventory_transfer_id": 2,
+    "transfer_number": "TR25229646",
+    "transfer_name": null,
+    "tag": null,
+    "transfer_time_utc": "3/2/2025 16:00:00+00",
+    "plate_number": null,
+    "delivery_mode": null,
+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
+    "inventory_transfer_id": 3,
+    "transfer_number": "TR20773990",
+    "transfer_name": null,
+    "tag": null,
+    "transfer_time_utc": "14/5/2025 16:00:00+00",
+    "plate_number": null,
+    "delivery_mode": null,
+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
+    "inventory_transfer_id": 4,
+    "transfer_number": "TR79949116",
+    "transfer_name": null,
+    "tag": null,
+    "transfer_time_utc": "28/5/2025 16:00:00+00",
+    "plate_number": null,
+    "delivery_mode": null,
+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
+    "inventory_transfer_id": 5,
+    "transfer_number": "TR53104189",
+    "transfer_name": null,
+    "tag": null,
+    "transfer_time_utc": "14/12/2025 16:00:00+00",
+    "plate_number": null,
+    "delivery_mode": null,
+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
+    "inventory_transfer_id": 6,
+    "transfer_number": "TR60080040",
+    "transfer_name": null,
+    "tag": null,
+    "transfer_time_utc": "30/7/2025 16:00:00+00",
+    "plate_number": null,
+    "delivery_mode": null,
+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
+    "inventory_transfer_id": 7,
+    "transfer_number": "TR65555184",
+    "transfer_name": null,
+    "tag": null,
+    "transfer_time_utc": "21/7/2025 16:00:00+00",
+    "plate_number": null,
+    "delivery_mode": null,
+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
+    "inventory_transfer_id": 8,
+    "transfer_number": "TR10515517",
+    "transfer_name": null,
+    "tag": null,
+    "transfer_time_utc": "26/7/2025 16:00:00+00",
+    "plate_number": null,
+    "delivery_mode": null,
+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
+    "inventory_transfer_id": 9,
+    "transfer_number": "TR15089271",
+    "transfer_name": null,
+    "tag": null,
+    "transfer_time_utc": "1/10/2025 16:00:00+00",
+    "plate_number": null,
+    "delivery_mode": null,
+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
+    "inventory_transfer_id": 10,
+    "transfer_number": "TR36502040",
+    "transfer_name": null,
+    "tag": null,
+    "transfer_time_utc": "6/3/2025 16:00:00+00",
+    "plate_number": null,
+    "delivery_mode": null,
+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  }
+]

sql/fact_invoice.json

@@ -0,0 +1,322 @@
+[
+  {
+    "invoice_id": 1,
+    "invoice_request_number": "INV36396299",
+    "contract_id": null,
+    "customer_id": 5,
+    "invoice_amount": 28586.57,
+    "contract_amount": null,
+    "invoice_date_utc": "6/7/2025 16:00:00+00",
+    "actual_invoice_date_utc": null,
+    "invoice_type": null,
+    "stage": null,
+    "result": null,
+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
+    "invoice_id": 2,
+    "invoice_request_number": "INV69987646",
+    "contract_id": null,
+    "customer_id": 7,
+    "invoice_amount": 31731.68,
+    "contract_amount": null,
+    "invoice_date_utc": "14/6/2025 16:00:00+00",
+    "actual_invoice_date_utc": null,
+    "invoice_type": null,
+    "stage": null,
+    "result": null,
+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
+    "invoice_id": 3,
+    "invoice_request_number": "INV86425647",
+    "contract_id": null,
+    "customer_id": 7,
+    "invoice_amount": 21165.3,
+    "contract_amount": null,
+    "invoice_date_utc": "14/7/2025 16:00:00+00",
+    "actual_invoice_date_utc": null,
+    "invoice_type": null,
+    "stage": null,
+    "result": null,
+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
+    "invoice_id": 4,
+    "invoice_request_number": "INV31949080",
+    "contract_id": null,
+    "customer_id": 3,
+    "invoice_amount": 3492.19,
+    "contract_amount": null,
+    "invoice_date_utc": "7/3/2025 16:00:00+00",
+    "actual_invoice_date_utc": null,
+    "invoice_type": null,
+    "stage": null,
+    "result": null,
+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
+    "invoice_id": 5,
+    "invoice_request_number": "INV26915438",
+    "contract_id": null,
+    "customer_id": 2,
+    "invoice_amount": 5276.53,
+    "contract_amount": null,
+    "invoice_date_utc": "30/4/2025 16:00:00+00",
+    "actual_invoice_date_utc": null,
+    "invoice_type": null,
+    "stage": null,
+    "result": null,
+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
+    "invoice_id": 6,
+    "invoice_request_number": "INV95836121",
+    "contract_id": null,
+    "customer_id": 2,
+    "invoice_amount": 27742.82,
+    "contract_amount": null,
+    "invoice_date_utc": "2/2/2025 16:00:00+00",
+    "actual_invoice_date_utc": null,
+    "invoice_type": null,
+    "stage": null,
+    "result": null,
+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
+    "invoice_id": 7,
+    "invoice_request_number": "INV62615584",
+    "contract_id": null,
+    "customer_id": 10,
+    "invoice_amount": 3952.38,
+    "contract_amount": null,
+    "invoice_date_utc": "17/5/2025 16:00:00+00",
+    "actual_invoice_date_utc": null,
+    "invoice_type": null,
+    "stage": null,
+    "result": null,
+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
+    "invoice_id": 8,
+    "invoice_request_number": "INV12452264",
+    "contract_id": null,
+    "customer_id": 8,
+    "invoice_amount": 49931.53,
+    "contract_amount": null,
+    "invoice_date_utc": "24/1/2025 16:00:00+00",
+    "actual_invoice_date_utc": null,
+    "invoice_type": null,
+    "stage": null,
+    "result": null,
+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
+    "invoice_id": 9,
+    "invoice_request_number": "INV28287981",
+    "contract_id": null,
+    "customer_id": 9,
+    "invoice_amount": 10737.77,
+    "contract_amount": null,
+    "invoice_date_utc": "16/4/2025 16:00:00+00",
+    "actual_invoice_date_utc": null,
+    "invoice_type": null,
+    "stage": null,
+    "result": null,
+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
+    "invoice_id": 10,
+    "invoice_request_number": "INV18976893",
+    "contract_id": null,
+    "customer_id": 5,
+    "invoice_amount": 32111.73,
+    "contract_amount": null,
+    "invoice_date_utc": "13/7/2025 16:00:00+00",
+    "actual_invoice_date_utc": null,
+    "invoice_type": null,
+    "stage": null,
+    "result": null,
+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
+    "invoice_id": 11,
+    "invoice_request_number": "INV91178844",
+    "contract_id": null,
+    "customer_id": 7,
+    "invoice_amount": 29249.76,
+    "contract_amount": null,
+    "invoice_date_utc": "20/8/2025 16:00:00+00",
+    "actual_invoice_date_utc": null,
+    "invoice_type": null,
+    "stage": null,
+    "result": null,
+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
+    "invoice_id": 12,
+    "invoice_request_number": "INV58682278",
+    "contract_id": null,
+    "customer_id": 7,
+    "invoice_amount": 32661.61,
+    "contract_amount": null,
+    "invoice_date_utc": "1/5/2025 16:00:00+00",
+    "actual_invoice_date_utc": null,
+    "invoice_type": null,
+    "stage": null,
+    "result": null,
+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
+    "invoice_id": 13,
+    "invoice_request_number": "INV77991324",
+    "contract_id": null,
+    "customer_id": 8,
+    "invoice_amount": 46350.89,
+    "contract_amount": null,
+    "invoice_date_utc": "19/6/2025 16:00:00+00",
+    "actual_invoice_date_utc": null,
+    "invoice_type": null,
+    "stage": null,
+    "result": null,
+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
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+  },
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+  },
+  {
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+  },
+  {
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+  },
+  {
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+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  }
+]

sql/fact_labor_report.json

@@ -0,0 +1,902 @@
+[
+  {
+    "labor_report_id": 1,
+    "work_order_number": "WO6412",
+    "task_name": null,
+    "product_id": 19,
+    "operation_status": null,
+    "worker_name": "周峰",
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+    "bad_reason_text": null,
+    "event_time_utc": "17/12/2025 05:41:28.-1f+00",
+    "supplier_id": null,
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
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+    "work_order_number": "WO2388",
+    "task_name": null,
+    "product_id": 14,
+    "operation_status": null,
+    "worker_name": "熊兵",
+    "report_qty": 10.0,
+    "good_qty": null,
+    "bad_qty": null,
+    "duration_minutes": 60.0,
+    "uom_code": null,
+    "bad_reason_text": null,
+    "event_time_utc": "13/12/2025 07:08:00.-1f+00",
+    "supplier_id": null,
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
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+    "work_order_number": "WO1629",
+    "task_name": null,
+    "product_id": 13,
+    "operation_status": null,
+    "worker_name": "伍岩",
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+    "good_qty": null,
+    "bad_qty": null,
+    "duration_minutes": 60.0,
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+    "bad_reason_text": null,
+    "event_time_utc": "12/12/2025 14:05:41.-1f+00",
+    "supplier_id": null,
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
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+    "work_order_number": "WO5008",
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+    "worker_name": "王建",
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+    "bad_qty": null,
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+    "bad_reason_text": null,
+    "event_time_utc": "24/12/2025 02:32:16.-1f+00",
+    "supplier_id": null,
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+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
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+  },
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+    "event_time_utc": "14/12/2025 06:54:43.-1f+00",
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+  },
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+  },
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+  },
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+  },
+  {
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+  },
+  {
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+  },
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+    "work_order_number": "WO1914",
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+  },
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+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  }
+]

sql/fact_lead.json

@@ -0,0 +1,401 @@
+[
+  {
+    "lead_id": 1,
+    "lead_name": "南机空间",
+    "lead_source": "线下",
+    "phone": "13454543434",
+    "telephone": null,
+    "email": null,
+    "address": null,
+    "industry": null,
+    "customer_level": null,
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+    "follow_up_status": null,
+    "is_converted": null,
+    "stage": null,
+    "result": null,
+    "event_time_utc": "26/12/2025 01:20:50+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 01:20:50+00"
+  },
+  {
+    "lead_id": 2,
+    "lead_name": "杨婷",
+    "lead_source": null,
+    "phone": "13876785939",
+    "telephone": null,
+    "email": null,
+    "address": null,
+    "industry": null,
+    "customer_level": null,
+    "next_contact_time_utc": null,
+    "follow_up_status": null,
+    "is_converted": null,
+    "stage": null,
+    "result": null,
+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
+    "lead_id": 3,
+    "lead_name": "袁龙",
+    "lead_source": null,
+    "phone": "13623737069",
+    "telephone": null,
+    "email": null,
+    "address": null,
+    "industry": null,
+    "customer_level": null,
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+    "is_converted": null,
+    "stage": null,
+    "result": null,
+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
+    "lead_id": 4,
+    "lead_name": "齐萍",
+    "lead_source": null,
+    "phone": "13799386215",
+    "telephone": null,
+    "email": null,
+    "address": null,
+    "industry": null,
+    "customer_level": null,
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+    "is_converted": null,
+    "stage": null,
+    "result": null,
+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
+    "lead_id": 5,
+    "lead_name": "郭玉梅",
+    "lead_source": null,
+    "phone": "15993191738",
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+    "email": null,
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+    "industry": null,
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+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
+    "lead_id": 6,
+    "lead_name": "黄辉",
+    "lead_source": null,
+    "phone": "15806905278",
+    "telephone": null,
+    "email": null,
+    "address": null,
+    "industry": null,
+    "customer_level": null,
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+    "result": null,
+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
+    "lead_id": 7,
+    "lead_name": "王红霞",
+    "lead_source": null,
+    "phone": "18597835513",
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+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
+    "lead_id": 8,
+    "lead_name": "潘红霞",
+    "lead_source": null,
+    "phone": "18685119644",
+    "telephone": null,
+    "email": null,
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+    "industry": null,
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+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
+    "lead_id": 9,
+    "lead_name": "乔丽娟",
+    "lead_source": null,
+    "phone": "13367787703",
+    "telephone": null,
+    "email": null,
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+    "industry": null,
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+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
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+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
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+    "lead_name": "牛淑华",
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+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
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+    "lead_name": "郑桂芳",
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+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
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+    "lead_name": "连艳",
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+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
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+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
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+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
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+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
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+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
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+    "lead_name": "韦晨",
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+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
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+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
+    "lead_id": 21,
+    "lead_name": "霍龙",
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+    "phone": "13575091415",
+    "telephone": null,
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+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  }
+]

sql/fact_operation_task.json

@@ -0,0 +1,852 @@
+[
+  {
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+    "work_order_number": "WO2050",
+    "operation_id": 9,
+    "product_id": 12,
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+    "good_qty": 98.0,
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+    "event_time_utc": "2/12/2025 08:39:49.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
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+    "work_order_number": "WO3412",
+    "operation_id": 3,
+    "product_id": 2,
+    "planned_start_time_utc": null,
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+    "planned_qty": 100.0,
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+    "event_time_utc": "23/12/2025 12:56:30.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
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+    "work_order_number": "WO1280",
+    "operation_id": 7,
+    "product_id": 7,
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+    "event_time_utc": "9/12/2025 11:29:47.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
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+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
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+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
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+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
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+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
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+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
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+    "work_order_number": "WO7515",
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+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
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+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
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+    "work_order_number": "WO4728",
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+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
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+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
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+    "work_order_number": "WO9411",
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+  {
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+  },
+  {
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+  },
+  {
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+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
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+  },
+  {
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+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
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+  },
+  {
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+    "work_order_number": "WO4494",
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+  }
+]

sql/fact_opportunity.json

@@ -0,0 +1,212 @@
+[
+  {
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+    "opportunity_name": "出现商机",
+    "customer_id": 3,
+    "opportunity_amount": 10178.17,
+    "expected_deal_date_utc": null,
+    "next_contact_time_utc": null,
+    "status_group": null,
+    "stage": null,
+    "result": null,
+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
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+    "opportunity_name": "一起商机",
+    "customer_id": 3,
+    "opportunity_amount": 88569.91,
+    "expected_deal_date_utc": null,
+    "next_contact_time_utc": null,
+    "status_group": null,
+    "stage": null,
+    "result": null,
+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
+    "opportunity_id": 3,
+    "opportunity_name": "程序商机",
+    "customer_id": 5,
+    "opportunity_amount": 84196.37,
+    "expected_deal_date_utc": null,
+    "next_contact_time_utc": null,
+    "status_group": null,
+    "stage": null,
+    "result": null,
+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
+    "opportunity_id": 4,
+    "opportunity_name": "说明商机",
+    "customer_id": 2,
+    "opportunity_amount": 10003.92,
+    "expected_deal_date_utc": null,
+    "next_contact_time_utc": null,
+    "status_group": null,
+    "stage": null,
+    "result": null,
+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
+    "opportunity_id": 5,
+    "opportunity_name": "孩子商机",
+    "customer_id": 10,
+    "opportunity_amount": 72339.91,
+    "expected_deal_date_utc": null,
+    "next_contact_time_utc": null,
+    "status_group": null,
+    "stage": null,
+    "result": null,
+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
+    "opportunity_id": 6,
+    "opportunity_name": "控制商机",
+    "customer_id": 3,
+    "opportunity_amount": 44096.15,
+    "expected_deal_date_utc": null,
+    "next_contact_time_utc": null,
+    "status_group": null,
+    "stage": null,
+    "result": null,
+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
+    "opportunity_id": 7,
+    "opportunity_name": "那么商机",
+    "customer_id": 9,
+    "opportunity_amount": 47860.89,
+    "expected_deal_date_utc": null,
+    "next_contact_time_utc": null,
+    "status_group": null,
+    "stage": null,
+    "result": null,
+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
+    "opportunity_id": 8,
+    "opportunity_name": "游戏商机",
+    "customer_id": 6,
+    "opportunity_amount": 24936.97,
+    "expected_deal_date_utc": null,
+    "next_contact_time_utc": null,
+    "status_group": null,
+    "stage": null,
+    "result": null,
+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
+    "opportunity_id": 9,
+    "opportunity_name": "评论商机",
+    "customer_id": 6,
+    "opportunity_amount": 51882.51,
+    "expected_deal_date_utc": null,
+    "next_contact_time_utc": null,
+    "status_group": null,
+    "stage": null,
+    "result": null,
+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
+    "opportunity_id": 10,
+    "opportunity_name": "显示商机",
+    "customer_id": 9,
+    "opportunity_amount": 68081.56,
+    "expected_deal_date_utc": null,
+    "next_contact_time_utc": null,
+    "status_group": null,
+    "stage": null,
+    "result": null,
+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
+    "opportunity_id": 11,
+    "opportunity_name": "建设商机",
+    "customer_id": 2,
+    "opportunity_amount": 42515.21,
+    "expected_deal_date_utc": null,
+    "next_contact_time_utc": null,
+    "status_group": null,
+    "stage": null,
+    "result": null,
+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
+    "opportunity_id": 12,
+    "opportunity_name": "电话商机",
+    "customer_id": 5,
+    "opportunity_amount": 48403.11,
+    "expected_deal_date_utc": null,
+    "next_contact_time_utc": null,
+    "status_group": null,
+    "stage": null,
+    "result": null,
+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
+    "opportunity_id": 13,
+    "opportunity_name": "当然商机",
+    "customer_id": 2,
+    "opportunity_amount": 38638.05,
+    "expected_deal_date_utc": null,
+    "next_contact_time_utc": null,
+    "status_group": null,
+    "stage": null,
+    "result": null,
+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
+    "opportunity_id": 14,
+    "opportunity_name": "美国商机",
+    "customer_id": 7,
+    "opportunity_amount": 27767.22,
+    "expected_deal_date_utc": null,
+    "next_contact_time_utc": null,
+    "status_group": null,
+    "stage": null,
+    "result": null,
+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
+    "opportunity_id": 15,
+    "opportunity_name": "因为商机",
+    "customer_id": 6,
+    "opportunity_amount": 89630.93,
+    "expected_deal_date_utc": null,
+    "next_contact_time_utc": null,
+    "status_group": null,
+    "stage": null,
+    "result": null,
+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  }
+]

sql/fact_production_plan.json

@@ -0,0 +1,142 @@
+[
+  {
+    "production_plan_id": 1,
+    "assembly_work_order_number": "AWO40743515",
+    "work_order_count": 5,
+    "finished_count": null,
+    "planned_qty": 100.0,
+    "completed_qty": null,
+    "plan_status": null,
+    "progress_text": null,
+    "customer_name": null,
+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
+    "production_plan_id": 2,
+    "assembly_work_order_number": "AWO8398648",
+    "work_order_count": 5,
+    "finished_count": null,
+    "planned_qty": 100.0,
+    "completed_qty": null,
+    "plan_status": null,
+    "progress_text": null,
+    "customer_name": null,
+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
+    "production_plan_id": 3,
+    "assembly_work_order_number": "AWO14185163",
+    "work_order_count": 3,
+    "finished_count": null,
+    "planned_qty": 100.0,
+    "completed_qty": null,
+    "plan_status": null,
+    "progress_text": null,
+    "customer_name": null,
+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
+    "production_plan_id": 4,
+    "assembly_work_order_number": "AWO15498809",
+    "work_order_count": 5,
+    "finished_count": null,
+    "planned_qty": 100.0,
+    "completed_qty": null,
+    "plan_status": null,
+    "progress_text": null,
+    "customer_name": null,
+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
+    "production_plan_id": 5,
+    "assembly_work_order_number": "AWO49921525",
+    "work_order_count": 5,
+    "finished_count": null,
+    "planned_qty": 100.0,
+    "completed_qty": null,
+    "plan_status": null,
+    "progress_text": null,
+    "customer_name": null,
+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
+    "production_plan_id": 6,
+    "assembly_work_order_number": "AWO36182849",
+    "work_order_count": 3,
+    "finished_count": null,
+    "planned_qty": 100.0,
+    "completed_qty": null,
+    "plan_status": null,
+    "progress_text": null,
+    "customer_name": null,
+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
+    "production_plan_id": 7,
+    "assembly_work_order_number": "AWO64090531",
+    "work_order_count": 4,
+    "finished_count": null,
+    "planned_qty": 100.0,
+    "completed_qty": null,
+    "plan_status": null,
+    "progress_text": null,
+    "customer_name": null,
+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
+    "production_plan_id": 8,
+    "assembly_work_order_number": "AWO30488156",
+    "work_order_count": 1,
+    "finished_count": null,
+    "planned_qty": 100.0,
+    "completed_qty": null,
+    "plan_status": null,
+    "progress_text": null,
+    "customer_name": null,
+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
+    "production_plan_id": 9,
+    "assembly_work_order_number": "AWO86661804",
+    "work_order_count": 1,
+    "finished_count": null,
+    "planned_qty": 100.0,
+    "completed_qty": null,
+    "plan_status": null,
+    "progress_text": null,
+    "customer_name": null,
+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
+    "production_plan_id": 10,
+    "assembly_work_order_number": "AWO72968658",
+    "work_order_count": 5,
+    "finished_count": null,
+    "planned_qty": 100.0,
+    "completed_qty": null,
+    "plan_status": null,
+    "progress_text": null,
+    "customer_name": null,
+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  }
+]

sql/fact_purchase_order.json

@@ -0,0 +1,322 @@
+[
+  {
+    "purchase_order_id": 1,
+    "purchase_order_number": "PO46687889",
+    "supplier_id": 1,
+    "currency_code": null,
+    "fx_rate": null,
+    "doc_date_utc": "11/7/2025 16:00:00+00",
+    "delivery_date_utc": null,
+    "contract_number": null,
+    "delivery_note_number": null,
+    "settlement_date_utc": null,
+    "settlement_term": null,
+    "event_time_utc": "26/12/2025 05:36:10.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
+    "purchase_order_id": 2,
+    "purchase_order_number": "PO52924265",
+    "supplier_id": 10,
+    "currency_code": null,
+    "fx_rate": null,
+    "doc_date_utc": "20/4/2025 16:00:00+00",
+    "delivery_date_utc": null,
+    "contract_number": null,
+    "delivery_note_number": null,
+    "settlement_date_utc": null,
+    "settlement_term": null,
+    "event_time_utc": "26/12/2025 05:36:10.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
+    "purchase_order_id": 3,
+    "purchase_order_number": "PO71059352",
+    "supplier_id": 5,
+    "currency_code": null,
+    "fx_rate": null,
+    "doc_date_utc": "15/11/2025 16:00:00+00",
+    "delivery_date_utc": null,
+    "contract_number": null,
+    "delivery_note_number": null,
+    "settlement_date_utc": null,
+    "settlement_term": null,
+    "event_time_utc": "26/12/2025 05:36:10.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
+    "purchase_order_id": 4,
+    "purchase_order_number": "PO81421429",
+    "supplier_id": 10,
+    "currency_code": null,
+    "fx_rate": null,
+    "doc_date_utc": "11/3/2025 16:00:00+00",
+    "delivery_date_utc": null,
+    "contract_number": null,
+    "delivery_note_number": null,
+    "settlement_date_utc": null,
+    "settlement_term": null,
+    "event_time_utc": "26/12/2025 05:36:10.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
+    "purchase_order_id": 5,
+    "purchase_order_number": "PO30442381",
+    "supplier_id": 2,
+    "currency_code": null,
+    "fx_rate": null,
+    "doc_date_utc": "22/5/2025 16:00:00+00",
+    "delivery_date_utc": null,
+    "contract_number": null,
+    "delivery_note_number": null,
+    "settlement_date_utc": null,
+    "settlement_term": null,
+    "event_time_utc": "26/12/2025 05:36:10.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
+    "purchase_order_id": 6,
+    "purchase_order_number": "PO41110345",
+    "supplier_id": 2,
+    "currency_code": null,
+    "fx_rate": null,
+    "doc_date_utc": "31/5/2025 16:00:00+00",
+    "delivery_date_utc": null,
+    "contract_number": null,
+    "delivery_note_number": null,
+    "settlement_date_utc": null,
+    "settlement_term": null,
+    "event_time_utc": "26/12/2025 05:36:10.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
+    "purchase_order_id": 7,
+    "purchase_order_number": "PO49227120",
+    "supplier_id": 10,
+    "currency_code": null,
+    "fx_rate": null,
+    "doc_date_utc": "28/11/2025 16:00:00+00",
+    "delivery_date_utc": null,
+    "contract_number": null,
+    "delivery_note_number": null,
+    "settlement_date_utc": null,
+    "settlement_term": null,
+    "event_time_utc": "26/12/2025 05:36:10.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
+    "purchase_order_id": 8,
+    "purchase_order_number": "PO53044033",
+    "supplier_id": 9,
+    "currency_code": null,
+    "fx_rate": null,
+    "doc_date_utc": "28/8/2025 16:00:00+00",
+    "delivery_date_utc": null,
+    "contract_number": null,
+    "delivery_note_number": null,
+    "settlement_date_utc": null,
+    "settlement_term": null,
+    "event_time_utc": "26/12/2025 05:36:10.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
+    "purchase_order_id": 9,
+    "purchase_order_number": "PO35646206",
+    "supplier_id": 7,
+    "currency_code": null,
+    "fx_rate": null,
+    "doc_date_utc": "25/9/2025 16:00:00+00",
+    "delivery_date_utc": null,
+    "contract_number": null,
+    "delivery_note_number": null,
+    "settlement_date_utc": null,
+    "settlement_term": null,
+    "event_time_utc": "26/12/2025 05:36:10.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
+    "purchase_order_id": 10,
+    "purchase_order_number": "PO94831278",
+    "supplier_id": 1,
+    "currency_code": null,
+    "fx_rate": null,
+    "doc_date_utc": "21/8/2025 16:00:00+00",
+    "delivery_date_utc": null,
+    "contract_number": null,
+    "delivery_note_number": null,
+    "settlement_date_utc": null,
+    "settlement_term": null,
+    "event_time_utc": "26/12/2025 05:36:10.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
+    "purchase_order_id": 11,
+    "purchase_order_number": "PO49569902",
+    "supplier_id": 8,
+    "currency_code": null,
+    "fx_rate": null,
+    "doc_date_utc": "22/9/2025 16:00:00+00",
+    "delivery_date_utc": null,
+    "contract_number": null,
+    "delivery_note_number": null,
+    "settlement_date_utc": null,
+    "settlement_term": null,
+    "event_time_utc": "26/12/2025 05:36:10.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
+    "purchase_order_id": 12,
+    "purchase_order_number": "PO76891465",
+    "supplier_id": 5,
+    "currency_code": null,
+    "fx_rate": null,
+    "doc_date_utc": "20/11/2025 16:00:00+00",
+    "delivery_date_utc": null,
+    "contract_number": null,
+    "delivery_note_number": null,
+    "settlement_date_utc": null,
+    "settlement_term": null,
+    "event_time_utc": "26/12/2025 05:36:10.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
+    "purchase_order_id": 13,
+    "purchase_order_number": "PO9667614",
+    "supplier_id": 5,
+    "currency_code": null,
+    "fx_rate": null,
+    "doc_date_utc": "6/3/2025 16:00:00+00",
+    "delivery_date_utc": null,
+    "contract_number": null,
+    "delivery_note_number": null,
+    "settlement_date_utc": null,
+    "settlement_term": null,
+    "event_time_utc": "26/12/2025 05:36:10.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
+    "purchase_order_id": 14,
+    "purchase_order_number": "PO5970081",
+    "supplier_id": 9,
+    "currency_code": null,
+    "fx_rate": null,
+    "doc_date_utc": "17/4/2025 16:00:00+00",
+    "delivery_date_utc": null,
+    "contract_number": null,
+    "delivery_note_number": null,
+    "settlement_date_utc": null,
+    "settlement_term": null,
+    "event_time_utc": "26/12/2025 05:36:10.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
+    "purchase_order_id": 15,
+    "purchase_order_number": "PO13604696",
+    "supplier_id": 3,
+    "currency_code": null,
+    "fx_rate": null,
+    "doc_date_utc": "2/5/2025 16:00:00+00",
+    "delivery_date_utc": null,
+    "contract_number": null,
+    "delivery_note_number": null,
+    "settlement_date_utc": null,
+    "settlement_term": null,
+    "event_time_utc": "26/12/2025 05:36:10.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
+    "purchase_order_id": 16,
+    "purchase_order_number": "PO4070883",
+    "supplier_id": 5,
+    "currency_code": null,
+    "fx_rate": null,
+    "doc_date_utc": "15/8/2025 16:00:00+00",
+    "delivery_date_utc": null,
+    "contract_number": null,
+    "delivery_note_number": null,
+    "settlement_date_utc": null,
+    "settlement_term": null,
+    "event_time_utc": "26/12/2025 05:36:10.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
+    "purchase_order_id": 17,
+    "purchase_order_number": "PO85696564",
+    "supplier_id": 7,
+    "currency_code": null,
+    "fx_rate": null,
+    "doc_date_utc": "5/8/2025 16:00:00+00",
+    "delivery_date_utc": null,
+    "contract_number": null,
+    "delivery_note_number": null,
+    "settlement_date_utc": null,
+    "settlement_term": null,
+    "event_time_utc": "26/12/2025 05:36:10.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
+    "purchase_order_id": 18,
+    "purchase_order_number": "PO82742840",
+    "supplier_id": 1,
+    "currency_code": null,
+    "fx_rate": null,
+    "doc_date_utc": "6/2/2025 16:00:00+00",
+    "delivery_date_utc": null,
+    "contract_number": null,
+    "delivery_note_number": null,
+    "settlement_date_utc": null,
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+    "event_time_utc": "26/12/2025 05:36:10.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
+    "purchase_order_id": 19,
+    "purchase_order_number": "PO22906470",
+    "supplier_id": 5,
+    "currency_code": null,
+    "fx_rate": null,
+    "doc_date_utc": "7/4/2025 16:00:00+00",
+    "delivery_date_utc": null,
+    "contract_number": null,
+    "delivery_note_number": null,
+    "settlement_date_utc": null,
+    "settlement_term": null,
+    "event_time_utc": "26/12/2025 05:36:10.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
+    "purchase_order_id": 20,
+    "purchase_order_number": "PO13277527",
+    "supplier_id": 8,
+    "currency_code": null,
+    "fx_rate": null,
+    "doc_date_utc": "26/3/2025 16:00:00+00",
+    "delivery_date_utc": null,
+    "contract_number": null,
+    "delivery_note_number": null,
+    "settlement_date_utc": null,
+    "settlement_term": null,
+    "event_time_utc": "26/12/2025 05:36:10.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  }
+]

sql/fact_purchase_receipt.json

@@ -0,0 +1,692 @@
+[
+  {
+    "purchase_receipt_id": 1,
+    "purchase_receipt_number": "PRC62269319",
+    "supplier_id": 6,
+    "purchase_order_number": null,
+    "currency_code": null,
+    "fx_rate": null,
+    "doc_date_utc": "30/6/2025 16:00:00+00",
+    "delivery_date_utc": null,
+    "contract_number": null,
+    "amount": 8077.53,
+    "estimated_cost": null,
+    "receipt_qty_total": 100.0,
+    "paid_amount": null,
+    "unpaid_amount": null,
+    "payment_status": null,
+    "returned_qty": null,
+    "not_returned_qty": null,
+    "return_status": null,
+    "event_time_utc": "26/12/2025 05:36:10.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
+    "purchase_receipt_id": 2,
+    "purchase_receipt_number": "PRC92878594",
+    "supplier_id": 6,
+    "purchase_order_number": null,
+    "currency_code": null,
+    "fx_rate": null,
+    "doc_date_utc": "3/4/2025 16:00:00+00",
+    "delivery_date_utc": null,
+    "contract_number": null,
+    "amount": 40158.06,
+    "estimated_cost": null,
+    "receipt_qty_total": 100.0,
+    "paid_amount": null,
+    "unpaid_amount": null,
+    "payment_status": null,
+    "returned_qty": null,
+    "not_returned_qty": null,
+    "return_status": null,
+    "event_time_utc": "26/12/2025 05:36:10.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
+    "purchase_receipt_id": 3,
+    "purchase_receipt_number": "PRC31612946",
+    "supplier_id": 7,
+    "purchase_order_number": null,
+    "currency_code": null,
+    "fx_rate": null,
+    "doc_date_utc": "17/3/2025 16:00:00+00",
+    "delivery_date_utc": null,
+    "contract_number": null,
+    "amount": 27389.28,
+    "estimated_cost": null,
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+    "paid_amount": null,
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+    "payment_status": null,
+    "returned_qty": null,
+    "not_returned_qty": null,
+    "return_status": null,
+    "event_time_utc": "26/12/2025 05:36:10.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
+    "purchase_receipt_id": 4,
+    "purchase_receipt_number": "PRC31143884",
+    "supplier_id": 5,
+    "purchase_order_number": null,
+    "currency_code": null,
+    "fx_rate": null,
+    "doc_date_utc": "23/1/2025 16:00:00+00",
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+    "return_status": null,
+    "event_time_utc": "26/12/2025 05:36:10.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
+    "purchase_receipt_id": 5,
+    "purchase_receipt_number": "PRC99344468",
+    "supplier_id": 3,
+    "purchase_order_number": null,
+    "currency_code": null,
+    "fx_rate": null,
+    "doc_date_utc": "28/6/2025 16:00:00+00",
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+    "event_time_utc": "26/12/2025 05:36:10.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
+    "purchase_receipt_id": 6,
+    "purchase_receipt_number": "PRC47897055",
+    "supplier_id": 2,
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+    "currency_code": null,
+    "fx_rate": null,
+    "doc_date_utc": "19/2/2025 16:00:00+00",
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+    "event_time_utc": "26/12/2025 05:36:10.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
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+    "purchase_receipt_number": "PRC10587372",
+    "supplier_id": 8,
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+    "doc_date_utc": "2/11/2025 16:00:00+00",
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+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
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+    "purchase_receipt_number": "PRC53434148",
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+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
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+    "purchase_receipt_number": "PRC41830227",
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+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
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+    "purchase_receipt_number": "PRC23410942",
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+  },
+  {
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+  },
+  {
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+    "purchase_receipt_number": "PRC66873664",
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+  },
+  {
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+  },
+  {
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+    "purchase_receipt_number": "PRC18938089",
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+  },
+  {
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+  },
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+    "return_status": null,
+    "event_time_utc": "26/12/2025 05:36:10.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
+    "purchase_receipt_id": 23,
+    "purchase_receipt_number": "PRC64419670",
+    "supplier_id": 4,
+    "purchase_order_number": null,
+    "currency_code": null,
+    "fx_rate": null,
+    "doc_date_utc": "2/12/2025 16:00:00+00",
+    "delivery_date_utc": null,
+    "contract_number": null,
+    "amount": 21096.59,
+    "estimated_cost": null,
+    "receipt_qty_total": 100.0,
+    "paid_amount": null,
+    "unpaid_amount": null,
+    "payment_status": null,
+    "returned_qty": null,
+    "not_returned_qty": null,
+    "return_status": null,
+    "event_time_utc": "26/12/2025 05:36:10.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
+    "purchase_receipt_id": 24,
+    "purchase_receipt_number": "PRC66177549",
+    "supplier_id": 9,
+    "purchase_order_number": null,
+    "currency_code": null,
+    "fx_rate": null,
+    "doc_date_utc": "19/7/2025 16:00:00+00",
+    "delivery_date_utc": null,
+    "contract_number": null,
+    "amount": 40616.92,
+    "estimated_cost": null,
+    "receipt_qty_total": 100.0,
+    "paid_amount": null,
+    "unpaid_amount": null,
+    "payment_status": null,
+    "returned_qty": null,
+    "not_returned_qty": null,
+    "return_status": null,
+    "event_time_utc": "26/12/2025 05:36:10.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
+    "purchase_receipt_id": 25,
+    "purchase_receipt_number": "PRC91456627",
+    "supplier_id": 7,
+    "purchase_order_number": null,
+    "currency_code": null,
+    "fx_rate": null,
+    "doc_date_utc": "4/10/2025 16:00:00+00",
+    "delivery_date_utc": null,
+    "contract_number": null,
+    "amount": 33138.8,
+    "estimated_cost": null,
+    "receipt_qty_total": 100.0,
+    "paid_amount": null,
+    "unpaid_amount": null,
+    "payment_status": null,
+    "returned_qty": null,
+    "not_returned_qty": null,
+    "return_status": null,
+    "event_time_utc": "26/12/2025 05:36:10.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
+    "purchase_receipt_id": 26,
+    "purchase_receipt_number": "PRC71057930",
+    "supplier_id": 2,
+    "purchase_order_number": null,
+    "currency_code": null,
+    "fx_rate": null,
+    "doc_date_utc": "28/3/2025 16:00:00+00",
+    "delivery_date_utc": null,
+    "contract_number": null,
+    "amount": 43056.15,
+    "estimated_cost": null,
+    "receipt_qty_total": 100.0,
+    "paid_amount": null,
+    "unpaid_amount": null,
+    "payment_status": null,
+    "returned_qty": null,
+    "not_returned_qty": null,
+    "return_status": null,
+    "event_time_utc": "26/12/2025 05:36:10.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
+    "purchase_receipt_id": 27,
+    "purchase_receipt_number": "PRC85631925",
+    "supplier_id": 7,
+    "purchase_order_number": null,
+    "currency_code": null,
+    "fx_rate": null,
+    "doc_date_utc": "13/6/2025 16:00:00+00",
+    "delivery_date_utc": null,
+    "contract_number": null,
+    "amount": 19537.31,
+    "estimated_cost": null,
+    "receipt_qty_total": 100.0,
+    "paid_amount": null,
+    "unpaid_amount": null,
+    "payment_status": null,
+    "returned_qty": null,
+    "not_returned_qty": null,
+    "return_status": null,
+    "event_time_utc": "26/12/2025 05:36:10.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
+    "purchase_receipt_id": 28,
+    "purchase_receipt_number": "PRC95966229",
+    "supplier_id": 5,
+    "purchase_order_number": null,
+    "currency_code": null,
+    "fx_rate": null,
+    "doc_date_utc": "29/10/2025 16:00:00+00",
+    "delivery_date_utc": null,
+    "contract_number": null,
+    "amount": 41578.09,
+    "estimated_cost": null,
+    "receipt_qty_total": 100.0,
+    "paid_amount": null,
+    "unpaid_amount": null,
+    "payment_status": null,
+    "returned_qty": null,
+    "not_returned_qty": null,
+    "return_status": null,
+    "event_time_utc": "26/12/2025 05:36:10.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
+    "purchase_receipt_id": 29,
+    "purchase_receipt_number": "PRC28157373",
+    "supplier_id": 5,
+    "purchase_order_number": null,
+    "currency_code": null,
+    "fx_rate": null,
+    "doc_date_utc": "8/11/2025 16:00:00+00",
+    "delivery_date_utc": null,
+    "contract_number": null,
+    "amount": 38451.56,
+    "estimated_cost": null,
+    "receipt_qty_total": 100.0,
+    "paid_amount": null,
+    "unpaid_amount": null,
+    "payment_status": null,
+    "returned_qty": null,
+    "not_returned_qty": null,
+    "return_status": null,
+    "event_time_utc": "26/12/2025 05:36:10.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
+    "purchase_receipt_id": 30,
+    "purchase_receipt_number": "PRC59018290",
+    "supplier_id": 2,
+    "purchase_order_number": null,
+    "currency_code": null,
+    "fx_rate": null,
+    "doc_date_utc": "3/4/2025 16:00:00+00",
+    "delivery_date_utc": null,
+    "contract_number": null,
+    "amount": 28844.54,
+    "estimated_cost": null,
+    "receipt_qty_total": 100.0,
+    "paid_amount": null,
+    "unpaid_amount": null,
+    "payment_status": null,
+    "returned_qty": null,
+    "not_returned_qty": null,
+    "return_status": null,
+    "event_time_utc": "26/12/2025 05:36:10.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  }
+]

sql/fact_purchase_request.json

@@ -0,0 +1,322 @@
+[
+  {
+    "purchase_request_id": 1,
+    "purchase_request_number": "PR74373407",
+    "supplier_id": 3,
+    "currency_code": null,
+    "fx_rate": null,
+    "doc_date_utc": "9/9/2025 16:00:00+00",
+    "delivery_date_utc": null,
+    "total_amount": 40343.59,
+    "status": null,
+    "related_order_number": null,
+    "contract_number": null,
+    "event_time_utc": "26/12/2025 05:36:10.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
+    "purchase_request_id": 2,
+    "purchase_request_number": "PR3197164",
+    "supplier_id": 7,
+    "currency_code": null,
+    "fx_rate": null,
+    "doc_date_utc": "6/8/2025 16:00:00+00",
+    "delivery_date_utc": null,
+    "total_amount": 10282.5,
+    "status": null,
+    "related_order_number": null,
+    "contract_number": null,
+    "event_time_utc": "26/12/2025 05:36:10.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
+    "purchase_request_id": 3,
+    "purchase_request_number": "PR25213757",
+    "supplier_id": 9,
+    "currency_code": null,
+    "fx_rate": null,
+    "doc_date_utc": "6/12/2025 16:00:00+00",
+    "delivery_date_utc": null,
+    "total_amount": 30633.66,
+    "status": null,
+    "related_order_number": null,
+    "contract_number": null,
+    "event_time_utc": "26/12/2025 05:36:10.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
+    "purchase_request_id": 4,
+    "purchase_request_number": "PR77290340",
+    "supplier_id": 1,
+    "currency_code": null,
+    "fx_rate": null,
+    "doc_date_utc": "12/4/2025 16:00:00+00",
+    "delivery_date_utc": null,
+    "total_amount": 43069.26,
+    "status": null,
+    "related_order_number": null,
+    "contract_number": null,
+    "event_time_utc": "26/12/2025 05:36:10.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
+    "purchase_request_id": 5,
+    "purchase_request_number": "PR4968719",
+    "supplier_id": 5,
+    "currency_code": null,
+    "fx_rate": null,
+    "doc_date_utc": "3/12/2025 16:00:00+00",
+    "delivery_date_utc": null,
+    "total_amount": 12416.66,
+    "status": null,
+    "related_order_number": null,
+    "contract_number": null,
+    "event_time_utc": "26/12/2025 05:36:10.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
+    "purchase_request_id": 6,
+    "purchase_request_number": "PR43870003",
+    "supplier_id": 8,
+    "currency_code": null,
+    "fx_rate": null,
+    "doc_date_utc": "19/9/2025 16:00:00+00",
+    "delivery_date_utc": null,
+    "total_amount": 17904.11,
+    "status": null,
+    "related_order_number": null,
+    "contract_number": null,
+    "event_time_utc": "26/12/2025 05:36:10.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
+    "purchase_request_id": 7,
+    "purchase_request_number": "PR29802771",
+    "supplier_id": 8,
+    "currency_code": null,
+    "fx_rate": null,
+    "doc_date_utc": "6/2/2025 16:00:00+00",
+    "delivery_date_utc": null,
+    "total_amount": 12826.31,
+    "status": null,
+    "related_order_number": null,
+    "contract_number": null,
+    "event_time_utc": "26/12/2025 05:36:10.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
+    "purchase_request_id": 8,
+    "purchase_request_number": "PR66861238",
+    "supplier_id": 7,
+    "currency_code": null,
+    "fx_rate": null,
+    "doc_date_utc": "15/4/2025 16:00:00+00",
+    "delivery_date_utc": null,
+    "total_amount": 17490.41,
+    "status": null,
+    "related_order_number": null,
+    "contract_number": null,
+    "event_time_utc": "26/12/2025 05:36:10.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
+    "purchase_request_id": 9,
+    "purchase_request_number": "PR1133525",
+    "supplier_id": 5,
+    "currency_code": null,
+    "fx_rate": null,
+    "doc_date_utc": "25/1/2025 16:00:00+00",
+    "delivery_date_utc": null,
+    "total_amount": 22588.43,
+    "status": null,
+    "related_order_number": null,
+    "contract_number": null,
+    "event_time_utc": "26/12/2025 05:36:10.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
+    "purchase_request_id": 10,
+    "purchase_request_number": "PR90232127",
+    "supplier_id": 8,
+    "currency_code": null,
+    "fx_rate": null,
+    "doc_date_utc": "23/2/2025 16:00:00+00",
+    "delivery_date_utc": null,
+    "total_amount": 48310.07,
+    "status": null,
+    "related_order_number": null,
+    "contract_number": null,
+    "event_time_utc": "26/12/2025 05:36:10.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
+    "purchase_request_id": 11,
+    "purchase_request_number": "PR87761304",
+    "supplier_id": 10,
+    "currency_code": null,
+    "fx_rate": null,
+    "doc_date_utc": "30/9/2025 16:00:00+00",
+    "delivery_date_utc": null,
+    "total_amount": 9754.54,
+    "status": null,
+    "related_order_number": null,
+    "contract_number": null,
+    "event_time_utc": "26/12/2025 05:36:10.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
+    "purchase_request_id": 12,
+    "purchase_request_number": "PR34707409",
+    "supplier_id": 8,
+    "currency_code": null,
+    "fx_rate": null,
+    "doc_date_utc": "23/7/2025 16:00:00+00",
+    "delivery_date_utc": null,
+    "total_amount": 17262.64,
+    "status": null,
+    "related_order_number": null,
+    "contract_number": null,
+    "event_time_utc": "26/12/2025 05:36:10.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
+    "purchase_request_id": 13,
+    "purchase_request_number": "PR88853692",
+    "supplier_id": 5,
+    "currency_code": null,
+    "fx_rate": null,
+    "doc_date_utc": "29/10/2025 16:00:00+00",
+    "delivery_date_utc": null,
+    "total_amount": 29440.3,
+    "status": null,
+    "related_order_number": null,
+    "contract_number": null,
+    "event_time_utc": "26/12/2025 05:36:10.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
+    "purchase_request_id": 14,
+    "purchase_request_number": "PR81818155",
+    "supplier_id": 3,
+    "currency_code": null,
+    "fx_rate": null,
+    "doc_date_utc": "15/9/2025 16:00:00+00",
+    "delivery_date_utc": null,
+    "total_amount": 38365.41,
+    "status": null,
+    "related_order_number": null,
+    "contract_number": null,
+    "event_time_utc": "26/12/2025 05:36:10.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
+    "purchase_request_id": 15,
+    "purchase_request_number": "PR68228246",
+    "supplier_id": 2,
+    "currency_code": null,
+    "fx_rate": null,
+    "doc_date_utc": "27/1/2025 16:00:00+00",
+    "delivery_date_utc": null,
+    "total_amount": 36025.66,
+    "status": null,
+    "related_order_number": null,
+    "contract_number": null,
+    "event_time_utc": "26/12/2025 05:36:10.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
+    "purchase_request_id": 16,
+    "purchase_request_number": "PR531304",
+    "supplier_id": 7,
+    "currency_code": null,
+    "fx_rate": null,
+    "doc_date_utc": "23/1/2025 16:00:00+00",
+    "delivery_date_utc": null,
+    "total_amount": 21933.52,
+    "status": null,
+    "related_order_number": null,
+    "contract_number": null,
+    "event_time_utc": "26/12/2025 05:36:10.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
+    "purchase_request_id": 17,
+    "purchase_request_number": "PR29567205",
+    "supplier_id": 7,
+    "currency_code": null,
+    "fx_rate": null,
+    "doc_date_utc": "28/3/2025 16:00:00+00",
+    "delivery_date_utc": null,
+    "total_amount": 37543.26,
+    "status": null,
+    "related_order_number": null,
+    "contract_number": null,
+    "event_time_utc": "26/12/2025 05:36:10.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
+    "purchase_request_id": 18,
+    "purchase_request_number": "PR21593197",
+    "supplier_id": 10,
+    "currency_code": null,
+    "fx_rate": null,
+    "doc_date_utc": "24/1/2025 16:00:00+00",
+    "delivery_date_utc": null,
+    "total_amount": 34965.61,
+    "status": null,
+    "related_order_number": null,
+    "contract_number": null,
+    "event_time_utc": "26/12/2025 05:36:10.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
+    "purchase_request_id": 19,
+    "purchase_request_number": "PR44612134",
+    "supplier_id": 1,
+    "currency_code": null,
+    "fx_rate": null,
+    "doc_date_utc": "12/1/2025 16:00:00+00",
+    "delivery_date_utc": null,
+    "total_amount": 29549.23,
+    "status": null,
+    "related_order_number": null,
+    "contract_number": null,
+    "event_time_utc": "26/12/2025 05:36:10.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
+    "purchase_request_id": 20,
+    "purchase_request_number": "PR11456222",
+    "supplier_id": 4,
+    "currency_code": null,
+    "fx_rate": null,
+    "doc_date_utc": "1/4/2025 16:00:00+00",
+    "delivery_date_utc": null,
+    "total_amount": 34575.02,
+    "status": null,
+    "related_order_number": null,
+    "contract_number": null,
+    "event_time_utc": "26/12/2025 05:36:10.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  }
+]

sql/fact_purchase_return.json

@@ -0,0 +1,72 @@
+[
+  {
+    "purchase_return_id": 1,
+    "purchase_return_number": "PRET10055889",
+    "supplier_id": 1,
+    "currency_code": null,
+    "fx_rate": null,
+    "doc_date_utc": "11/6/2025 16:00:00+00",
+    "return_reason": "损坏",
+    "contract_number": null,
+    "related_order_number": null,
+    "event_time_utc": "26/12/2025 05:36:10.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
+    "purchase_return_id": 2,
+    "purchase_return_number": "PRET94654435",
+    "supplier_id": 8,
+    "currency_code": null,
+    "fx_rate": null,
+    "doc_date_utc": "8/9/2025 16:00:00+00",
+    "return_reason": "损坏",
+    "contract_number": null,
+    "related_order_number": null,
+    "event_time_utc": "26/12/2025 05:36:10.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
+    "purchase_return_id": 3,
+    "purchase_return_number": "PRET35781733",
+    "supplier_id": 10,
+    "currency_code": null,
+    "fx_rate": null,
+    "doc_date_utc": "6/8/2025 16:00:00+00",
+    "return_reason": "损坏",
+    "contract_number": null,
+    "related_order_number": null,
+    "event_time_utc": "26/12/2025 05:36:10.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
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+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  }
+]

sql/fact_quality_inspection.json

@@ -0,0 +1,722 @@
+[
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+  },
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+    "customer_name": null,
+    "ship_qty": null,
+    "event_time_utc": "16/12/2025 15:51:08.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
+    "quality_inspection_id": 32,
+    "inspection_number": "QC45390570",
+    "inspection_batch_number": null,
+    "work_order_number": null,
+    "product_id": 19,
+    "supplier_id": null,
+    "qc_reason_id": null,
+    "qc_type": "FINAL",
+    "pass_qty": 95.0,
+    "fail_qty": 5.0,
+    "sales_order_number": null,
+    "customer_name": null,
+    "ship_qty": null,
+    "event_time_utc": "5/12/2025 07:04:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
+    "quality_inspection_id": 33,
+    "inspection_number": "QC24502363",
+    "inspection_batch_number": null,
+    "work_order_number": null,
+    "product_id": 11,
+    "supplier_id": null,
+    "qc_reason_id": null,
+    "qc_type": "IN_PROCESS",
+    "pass_qty": 95.0,
+    "fail_qty": 5.0,
+    "sales_order_number": null,
+    "customer_name": null,
+    "ship_qty": null,
+    "event_time_utc": "21/12/2025 19:48:36.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
+    "quality_inspection_id": 34,
+    "inspection_number": "QC34620271",
+    "inspection_batch_number": null,
+    "work_order_number": null,
+    "product_id": 8,
+    "supplier_id": null,
+    "qc_reason_id": null,
+    "qc_type": "IN_PROCESS",
+    "pass_qty": 95.0,
+    "fail_qty": 5.0,
+    "sales_order_number": null,
+    "customer_name": null,
+    "ship_qty": null,
+    "event_time_utc": "15/12/2025 07:39:23.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
+    "quality_inspection_id": 35,
+    "inspection_number": "QC56151325",
+    "inspection_batch_number": null,
+    "work_order_number": null,
+    "product_id": 19,
+    "supplier_id": null,
+    "qc_reason_id": null,
+    "qc_type": "IN_PROCESS",
+    "pass_qty": 95.0,
+    "fail_qty": 5.0,
+    "sales_order_number": null,
+    "customer_name": null,
+    "ship_qty": null,
+    "event_time_utc": "16/12/2025 00:21:15.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
+    "quality_inspection_id": 36,
+    "inspection_number": "QC86107178",
+    "inspection_batch_number": null,
+    "work_order_number": null,
+    "product_id": 19,
+    "supplier_id": null,
+    "qc_reason_id": null,
+    "qc_type": "IN_PROCESS",
+    "pass_qty": 95.0,
+    "fail_qty": 5.0,
+    "sales_order_number": null,
+    "customer_name": null,
+    "ship_qty": null,
+    "event_time_utc": "11/12/2025 02:12:45.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
+    "quality_inspection_id": 37,
+    "inspection_number": "QC99037226",
+    "inspection_batch_number": null,
+    "work_order_number": null,
+    "product_id": 9,
+    "supplier_id": null,
+    "qc_reason_id": null,
+    "qc_type": "FINAL",
+    "pass_qty": 95.0,
+    "fail_qty": 5.0,
+    "sales_order_number": null,
+    "customer_name": null,
+    "ship_qty": null,
+    "event_time_utc": "18/12/2025 06:14:10.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
+    "quality_inspection_id": 38,
+    "inspection_number": "QC27521865",
+    "inspection_batch_number": null,
+    "work_order_number": null,
+    "product_id": 18,
+    "supplier_id": null,
+    "qc_reason_id": null,
+    "qc_type": "IN_PROCESS",
+    "pass_qty": 95.0,
+    "fail_qty": 5.0,
+    "sales_order_number": null,
+    "customer_name": null,
+    "ship_qty": null,
+    "event_time_utc": "25/12/2025 17:38:29.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
+    "quality_inspection_id": 39,
+    "inspection_number": "QC11711535",
+    "inspection_batch_number": null,
+    "work_order_number": null,
+    "product_id": 6,
+    "supplier_id": null,
+    "qc_reason_id": null,
+    "qc_type": "FINAL",
+    "pass_qty": 95.0,
+    "fail_qty": 5.0,
+    "sales_order_number": null,
+    "customer_name": null,
+    "ship_qty": null,
+    "event_time_utc": "15/12/2025 15:19:18.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
+    "quality_inspection_id": 40,
+    "inspection_number": "QC26733168",
+    "inspection_batch_number": null,
+    "work_order_number": null,
+    "product_id": 17,
+    "supplier_id": null,
+    "qc_reason_id": null,
+    "qc_type": "FINAL",
+    "pass_qty": 95.0,
+    "fail_qty": 5.0,
+    "sales_order_number": null,
+    "customer_name": null,
+    "ship_qty": null,
+    "event_time_utc": "20/12/2025 10:23:15.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  }
+]

sql/fact_sales_return.json

@@ -0,0 +1,152 @@
+[
+  {
+    "sales_return_id": 1,
+    "sales_return_number": "RET33607093",
+    "customer_id": 8,
+    "contract_number": null,
+    "return_reason": "质量问题",
+    "is_reship": null,
+    "currency_code": null,
+    "fx_rate": null,
+    "doc_date_utc": "22/2/2025 16:00:00+00",
+    "amount": 3873.24,
+    "event_time_utc": "26/12/2025 05:36:10.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
+    "sales_return_id": 2,
+    "sales_return_number": "RET17956713",
+    "customer_id": 1,
+    "contract_number": null,
+    "return_reason": "质量问题",
+    "is_reship": null,
+    "currency_code": null,
+    "fx_rate": null,
+    "doc_date_utc": "10/8/2025 16:00:00+00",
+    "amount": 4677.54,
+    "event_time_utc": "26/12/2025 05:36:10.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
+    "sales_return_id": 3,
+    "sales_return_number": "RET64807117",
+    "customer_id": 4,
+    "contract_number": null,
+    "return_reason": "质量问题",
+    "is_reship": null,
+    "currency_code": null,
+    "fx_rate": null,
+    "doc_date_utc": "11/5/2025 16:00:00+00",
+    "amount": 4327.39,
+    "event_time_utc": "26/12/2025 05:36:10.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
+    "sales_return_id": 4,
+    "sales_return_number": "RET67765737",
+    "customer_id": 8,
+    "contract_number": null,
+    "return_reason": "质量问题",
+    "is_reship": null,
+    "currency_code": null,
+    "fx_rate": null,
+    "doc_date_utc": "17/7/2025 16:00:00+00",
+    "amount": 4937.5,
+    "event_time_utc": "26/12/2025 05:36:10.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
+    "sales_return_id": 5,
+    "sales_return_number": "RET20539715",
+    "customer_id": 4,
+    "contract_number": null,
+    "return_reason": "质量问题",
+    "is_reship": null,
+    "currency_code": null,
+    "fx_rate": null,
+    "doc_date_utc": "31/5/2025 16:00:00+00",
+    "amount": 3970.17,
+    "event_time_utc": "26/12/2025 05:36:10.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
+    "sales_return_id": 6,
+    "sales_return_number": "RET19806490",
+    "customer_id": 2,
+    "contract_number": null,
+    "return_reason": "质量问题",
+    "is_reship": null,
+    "currency_code": null,
+    "fx_rate": null,
+    "doc_date_utc": "10/8/2025 16:00:00+00",
+    "amount": 1424.25,
+    "event_time_utc": "26/12/2025 05:36:10.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
+    "sales_return_id": 7,
+    "sales_return_number": "RET65157989",
+    "customer_id": 4,
+    "contract_number": null,
+    "return_reason": "质量问题",
+    "is_reship": null,
+    "currency_code": null,
+    "fx_rate": null,
+    "doc_date_utc": "17/7/2025 16:00:00+00",
+    "amount": 2324.6,
+    "event_time_utc": "26/12/2025 05:36:10.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
+    "sales_return_id": 8,
+    "sales_return_number": "RET23958183",
+    "customer_id": 5,
+    "contract_number": null,
+    "return_reason": "质量问题",
+    "is_reship": null,
+    "currency_code": null,
+    "fx_rate": null,
+    "doc_date_utc": "27/10/2025 16:00:00+00",
+    "amount": 715.04,
+    "event_time_utc": "26/12/2025 05:36:10.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
+    "sales_return_id": 9,
+    "sales_return_number": "RET13387787",
+    "customer_id": 3,
+    "contract_number": null,
+    "return_reason": "质量问题",
+    "is_reship": null,
+    "currency_code": null,
+    "fx_rate": null,
+    "doc_date_utc": "18/4/2025 16:00:00+00",
+    "amount": 3646.64,
+    "event_time_utc": "26/12/2025 05:36:10.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
+    "sales_return_id": 10,
+    "sales_return_number": "RET13090325",
+    "customer_id": 4,
+    "contract_number": null,
+    "return_reason": "质量问题",
+    "is_reship": null,
+    "currency_code": null,
+    "fx_rate": null,
+    "doc_date_utc": "31/1/2025 16:00:00+00",
+    "amount": 3795.88,
+    "event_time_utc": "26/12/2025 05:36:10.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  }
+]

sql/fact_sales_shipment.json

@@ -0,0 +1,482 @@
+[
+  {
+    "sales_shipment_id": 1,
+    "shipment_number": "SH24823992",
+    "customer_id": 7,
+    "contract_number": null,
+    "currency_code": null,
+    "fx_rate": null,
+    "doc_date_utc": "3/7/2025 16:00:00+00",
+    "delivery_date_utc": null,
+    "transport_mode": null,
+    "customs_number": null,
+    "amount": 12086.56,
+    "event_time_utc": "26/12/2025 05:36:10.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
+    "sales_shipment_id": 2,
+    "shipment_number": "SH34635337",
+    "customer_id": 4,
+    "contract_number": null,
+    "currency_code": null,
+    "fx_rate": null,
+    "doc_date_utc": "27/9/2025 16:00:00+00",
+    "delivery_date_utc": null,
+    "transport_mode": null,
+    "customs_number": null,
+    "amount": 18792.46,
+    "event_time_utc": "26/12/2025 05:36:10.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
+    "sales_shipment_id": 3,
+    "shipment_number": "SH88366414",
+    "customer_id": 1,
+    "contract_number": null,
+    "currency_code": null,
+    "fx_rate": null,
+    "doc_date_utc": "9/12/2025 16:00:00+00",
+    "delivery_date_utc": null,
+    "transport_mode": null,
+    "customs_number": null,
+    "amount": 5747.19,
+    "event_time_utc": "26/12/2025 05:36:10.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
+    "sales_shipment_id": 4,
+    "shipment_number": "SH57206465",
+    "customer_id": 4,
+    "contract_number": null,
+    "currency_code": null,
+    "fx_rate": null,
+    "doc_date_utc": "31/5/2025 16:00:00+00",
+    "delivery_date_utc": null,
+    "transport_mode": null,
+    "customs_number": null,
+    "amount": 3556.75,
+    "event_time_utc": "26/12/2025 05:36:10.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
+    "sales_shipment_id": 5,
+    "shipment_number": "SH57511283",
+    "customer_id": 3,
+    "contract_number": null,
+    "currency_code": null,
+    "fx_rate": null,
+    "doc_date_utc": "23/9/2025 16:00:00+00",
+    "delivery_date_utc": null,
+    "transport_mode": null,
+    "customs_number": null,
+    "amount": 12916.49,
+    "event_time_utc": "26/12/2025 05:36:10.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
+    "sales_shipment_id": 6,
+    "shipment_number": "SH48137491",
+    "customer_id": 1,
+    "contract_number": null,
+    "currency_code": null,
+    "fx_rate": null,
+    "doc_date_utc": "5/6/2025 16:00:00+00",
+    "delivery_date_utc": null,
+    "transport_mode": null,
+    "customs_number": null,
+    "amount": 7813.07,
+    "event_time_utc": "26/12/2025 05:36:10.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
+    "sales_shipment_id": 7,
+    "shipment_number": "SH27541058",
+    "customer_id": 3,
+    "contract_number": null,
+    "currency_code": null,
+    "fx_rate": null,
+    "doc_date_utc": "26/4/2025 16:00:00+00",
+    "delivery_date_utc": null,
+    "transport_mode": null,
+    "customs_number": null,
+    "amount": 12511.55,
+    "event_time_utc": "26/12/2025 05:36:10.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
+    "sales_shipment_id": 8,
+    "shipment_number": "SH70220367",
+    "customer_id": 7,
+    "contract_number": null,
+    "currency_code": null,
+    "fx_rate": null,
+    "doc_date_utc": "18/9/2025 16:00:00+00",
+    "delivery_date_utc": null,
+    "transport_mode": null,
+    "customs_number": null,
+    "amount": 3138.85,
+    "event_time_utc": "26/12/2025 05:36:10.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
+    "sales_shipment_id": 9,
+    "shipment_number": "SH55193994",
+    "customer_id": 4,
+    "contract_number": null,
+    "currency_code": null,
+    "fx_rate": null,
+    "doc_date_utc": "27/2/2025 16:00:00+00",
+    "delivery_date_utc": null,
+    "transport_mode": null,
+    "customs_number": null,
+    "amount": 11332.5,
+    "event_time_utc": "26/12/2025 05:36:10.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
+    "sales_shipment_id": 10,
+    "shipment_number": "SH17856572",
+    "customer_id": 1,
+    "contract_number": null,
+    "currency_code": null,
+    "fx_rate": null,
+    "doc_date_utc": "29/4/2025 16:00:00+00",
+    "delivery_date_utc": null,
+    "transport_mode": null,
+    "customs_number": null,
+    "amount": 13076.02,
+    "event_time_utc": "26/12/2025 05:36:10.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
+    "sales_shipment_id": 11,
+    "shipment_number": "SH28422300",
+    "customer_id": 10,
+    "contract_number": null,
+    "currency_code": null,
+    "fx_rate": null,
+    "doc_date_utc": "20/12/2025 16:00:00+00",
+    "delivery_date_utc": null,
+    "transport_mode": null,
+    "customs_number": null,
+    "amount": 7275.45,
+    "event_time_utc": "26/12/2025 05:36:10.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
+    "sales_shipment_id": 12,
+    "shipment_number": "SH61251946",
+    "customer_id": 8,
+    "contract_number": null,
+    "currency_code": null,
+    "fx_rate": null,
+    "doc_date_utc": "8/10/2025 16:00:00+00",
+    "delivery_date_utc": null,
+    "transport_mode": null,
+    "customs_number": null,
+    "amount": 19433.81,
+    "event_time_utc": "26/12/2025 05:36:10.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
+    "sales_shipment_id": 13,
+    "shipment_number": "SH64983519",
+    "customer_id": 9,
+    "contract_number": null,
+    "currency_code": null,
+    "fx_rate": null,
+    "doc_date_utc": "1/12/2025 16:00:00+00",
+    "delivery_date_utc": null,
+    "transport_mode": null,
+    "customs_number": null,
+    "amount": 16433.8,
+    "event_time_utc": "26/12/2025 05:36:10.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
+    "sales_shipment_id": 14,
+    "shipment_number": "SH73216699",
+    "customer_id": 9,
+    "contract_number": null,
+    "currency_code": null,
+    "fx_rate": null,
+    "doc_date_utc": "1/3/2025 16:00:00+00",
+    "delivery_date_utc": null,
+    "transport_mode": null,
+    "customs_number": null,
+    "amount": 6400.14,
+    "event_time_utc": "26/12/2025 05:36:10.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
+    "sales_shipment_id": 15,
+    "shipment_number": "SH81029178",
+    "customer_id": 5,
+    "contract_number": null,
+    "currency_code": null,
+    "fx_rate": null,
+    "doc_date_utc": "26/6/2025 16:00:00+00",
+    "delivery_date_utc": null,
+    "transport_mode": null,
+    "customs_number": null,
+    "amount": 16318.92,
+    "event_time_utc": "26/12/2025 05:36:10.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
+    "sales_shipment_id": 16,
+    "shipment_number": "SH72625775",
+    "customer_id": 6,
+    "contract_number": null,
+    "currency_code": null,
+    "fx_rate": null,
+    "doc_date_utc": "21/12/2025 16:00:00+00",
+    "delivery_date_utc": null,
+    "transport_mode": null,
+    "customs_number": null,
+    "amount": 11595.61,
+    "event_time_utc": "26/12/2025 05:36:10.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
+    "sales_shipment_id": 17,
+    "shipment_number": "SH61687721",
+    "customer_id": 4,
+    "contract_number": null,
+    "currency_code": null,
+    "fx_rate": null,
+    "doc_date_utc": "7/5/2025 16:00:00+00",
+    "delivery_date_utc": null,
+    "transport_mode": null,
+    "customs_number": null,
+    "amount": 5710.41,
+    "event_time_utc": "26/12/2025 05:36:10.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
+    "sales_shipment_id": 18,
+    "shipment_number": "SH32435794",
+    "customer_id": 3,
+    "contract_number": null,
+    "currency_code": null,
+    "fx_rate": null,
+    "doc_date_utc": "7/4/2025 16:00:00+00",
+    "delivery_date_utc": null,
+    "transport_mode": null,
+    "customs_number": null,
+    "amount": 17535.07,
+    "event_time_utc": "26/12/2025 05:36:10.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
+    "sales_shipment_id": 19,
+    "shipment_number": "SH29875774",
+    "customer_id": 8,
+    "contract_number": null,
+    "currency_code": null,
+    "fx_rate": null,
+    "doc_date_utc": "31/1/2025 16:00:00+00",
+    "delivery_date_utc": null,
+    "transport_mode": null,
+    "customs_number": null,
+    "amount": 4436.25,
+    "event_time_utc": "26/12/2025 05:36:10.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
+    "sales_shipment_id": 20,
+    "shipment_number": "SH9932668",
+    "customer_id": 9,
+    "contract_number": null,
+    "currency_code": null,
+    "fx_rate": null,
+    "doc_date_utc": "11/1/2025 16:00:00+00",
+    "delivery_date_utc": null,
+    "transport_mode": null,
+    "customs_number": null,
+    "amount": 5888.78,
+    "event_time_utc": "26/12/2025 05:36:10.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
+    "sales_shipment_id": 21,
+    "shipment_number": "SH36240144",
+    "customer_id": 9,
+    "contract_number": null,
+    "currency_code": null,
+    "fx_rate": null,
+    "doc_date_utc": "6/3/2025 16:00:00+00",
+    "delivery_date_utc": null,
+    "transport_mode": null,
+    "customs_number": null,
+    "amount": 17137.02,
+    "event_time_utc": "26/12/2025 05:36:10.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
+    "sales_shipment_id": 22,
+    "shipment_number": "SH96157441",
+    "customer_id": 3,
+    "contract_number": null,
+    "currency_code": null,
+    "fx_rate": null,
+    "doc_date_utc": "15/1/2025 16:00:00+00",
+    "delivery_date_utc": null,
+    "transport_mode": null,
+    "customs_number": null,
+    "amount": 1167.8,
+    "event_time_utc": "26/12/2025 05:36:10.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
+    "sales_shipment_id": 23,
+    "shipment_number": "SH18823114",
+    "customer_id": 4,
+    "contract_number": null,
+    "currency_code": null,
+    "fx_rate": null,
+    "doc_date_utc": "30/8/2025 16:00:00+00",
+    "delivery_date_utc": null,
+    "transport_mode": null,
+    "customs_number": null,
+    "amount": 8319.09,
+    "event_time_utc": "26/12/2025 05:36:10.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
+    "sales_shipment_id": 24,
+    "shipment_number": "SH28275600",
+    "customer_id": 7,
+    "contract_number": null,
+    "currency_code": null,
+    "fx_rate": null,
+    "doc_date_utc": "17/6/2025 16:00:00+00",
+    "delivery_date_utc": null,
+    "transport_mode": null,
+    "customs_number": null,
+    "amount": 16231.08,
+    "event_time_utc": "26/12/2025 05:36:10.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
+    "sales_shipment_id": 25,
+    "shipment_number": "SH84358888",
+    "customer_id": 4,
+    "contract_number": null,
+    "currency_code": null,
+    "fx_rate": null,
+    "doc_date_utc": "28/11/2025 16:00:00+00",
+    "delivery_date_utc": null,
+    "transport_mode": null,
+    "customs_number": null,
+    "amount": 17400.46,
+    "event_time_utc": "26/12/2025 05:36:10.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
+    "sales_shipment_id": 26,
+    "shipment_number": "SH13641433",
+    "customer_id": 10,
+    "contract_number": null,
+    "currency_code": null,
+    "fx_rate": null,
+    "doc_date_utc": "6/9/2025 16:00:00+00",
+    "delivery_date_utc": null,
+    "transport_mode": null,
+    "customs_number": null,
+    "amount": 18342.63,
+    "event_time_utc": "26/12/2025 05:36:10.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
+    "sales_shipment_id": 27,
+    "shipment_number": "SH18469349",
+    "customer_id": 5,
+    "contract_number": null,
+    "currency_code": null,
+    "fx_rate": null,
+    "doc_date_utc": "20/2/2025 16:00:00+00",
+    "delivery_date_utc": null,
+    "transport_mode": null,
+    "customs_number": null,
+    "amount": 15479.16,
+    "event_time_utc": "26/12/2025 05:36:10.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
+    "sales_shipment_id": 28,
+    "shipment_number": "SH18420257",
+    "customer_id": 9,
+    "contract_number": null,
+    "currency_code": null,
+    "fx_rate": null,
+    "doc_date_utc": "13/3/2025 16:00:00+00",
+    "delivery_date_utc": null,
+    "transport_mode": null,
+    "customs_number": null,
+    "amount": 10248.8,
+    "event_time_utc": "26/12/2025 05:36:10.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
+    "sales_shipment_id": 29,
+    "shipment_number": "SH64951199",
+    "customer_id": 10,
+    "contract_number": null,
+    "currency_code": null,
+    "fx_rate": null,
+    "doc_date_utc": "14/11/2025 16:00:00+00",
+    "delivery_date_utc": null,
+    "transport_mode": null,
+    "customs_number": null,
+    "amount": 13947.55,
+    "event_time_utc": "26/12/2025 05:36:10.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  },
+  {
+    "sales_shipment_id": 30,
+    "shipment_number": "SH36825810",
+    "customer_id": 1,
+    "contract_number": null,
+    "currency_code": null,
+    "fx_rate": null,
+    "doc_date_utc": "20/2/2025 16:00:00+00",
+    "delivery_date_utc": null,
+    "transport_mode": null,
+    "customs_number": null,
+    "amount": 9783.1,
+    "event_time_utc": "26/12/2025 05:36:10.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:10.-1f+00"
+  }
+]

sql/fact_scrap.json

@@ -0,0 +1,92 @@
+[
+  {
+    "scrap_id": 1,
+    "scrap_number": "SCR29224832",
+    "warehouse_name": null,
+    "scrap_time_utc": "11/11/2025 16:00:00+00",
+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
+    "scrap_id": 2,
+    "scrap_number": "SCR94358885",
+    "warehouse_name": null,
+    "scrap_time_utc": "23/1/2025 16:00:00+00",
+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
+    "scrap_id": 3,
+    "scrap_number": "SCR5362558",
+    "warehouse_name": null,
+    "scrap_time_utc": "20/6/2025 16:00:00+00",
+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
+    "scrap_id": 4,
+    "scrap_number": "SCR20950494",
+    "warehouse_name": null,
+    "scrap_time_utc": "1/4/2025 16:00:00+00",
+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
+    "scrap_id": 5,
+    "scrap_number": "SCR40775893",
+    "warehouse_name": null,
+    "scrap_time_utc": "21/3/2025 16:00:00+00",
+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
+    "scrap_id": 6,
+    "scrap_number": "SCR56499569",
+    "warehouse_name": null,
+    "scrap_time_utc": "27/2/2025 16:00:00+00",
+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
+    "scrap_id": 7,
+    "scrap_number": "SCR31480752",
+    "warehouse_name": null,
+    "scrap_time_utc": "3/7/2025 16:00:00+00",
+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
+    "scrap_id": 8,
+    "scrap_number": "SCR38577142",
+    "warehouse_name": null,
+    "scrap_time_utc": "4/2/2025 16:00:00+00",
+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
+    "scrap_id": 9,
+    "scrap_number": "SCR37752664",
+    "warehouse_name": null,
+    "scrap_time_utc": "14/3/2025 16:00:00+00",
+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
+    "scrap_id": 10,
+    "scrap_number": "SCR56248465",
+    "warehouse_name": null,
+    "scrap_time_utc": "10/10/2025 16:00:00+00",
+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  }
+]

sql/fact_write_off.json

@@ -0,0 +1,162 @@
+[
+  {
+    "write_off_id": 1,
+    "write_off_number": "WOFF4957019",
+    "doc_date_utc": null,
+    "contract_id": null,
+    "customer_id": 5,
+    "supplier_id": null,
+    "write_off_type": null,
+    "currency_code": null,
+    "fx_rate": null,
+    "discount_amount": null,
+    "write_off_amount": 2250.39,
+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
+    "write_off_id": 2,
+    "write_off_number": "WOFF86844048",
+    "doc_date_utc": null,
+    "contract_id": null,
+    "customer_id": 7,
+    "supplier_id": null,
+    "write_off_type": null,
+    "currency_code": null,
+    "fx_rate": null,
+    "discount_amount": null,
+    "write_off_amount": 4232.3,
+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
+    "write_off_id": 3,
+    "write_off_number": "WOFF5965561",
+    "doc_date_utc": null,
+    "contract_id": null,
+    "customer_id": 6,
+    "supplier_id": null,
+    "write_off_type": null,
+    "currency_code": null,
+    "fx_rate": null,
+    "discount_amount": null,
+    "write_off_amount": 2778.39,
+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
+    "write_off_id": 4,
+    "write_off_number": "WOFF35734725",
+    "doc_date_utc": null,
+    "contract_id": null,
+    "customer_id": 6,
+    "supplier_id": null,
+    "write_off_type": null,
+    "currency_code": null,
+    "fx_rate": null,
+    "discount_amount": null,
+    "write_off_amount": 1788.25,
+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
+    "write_off_id": 5,
+    "write_off_number": "WOFF98551101",
+    "doc_date_utc": null,
+    "contract_id": null,
+    "customer_id": 1,
+    "supplier_id": null,
+    "write_off_type": null,
+    "currency_code": null,
+    "fx_rate": null,
+    "discount_amount": null,
+    "write_off_amount": 680.83,
+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
+    "write_off_id": 6,
+    "write_off_number": "WOFF46489967",
+    "doc_date_utc": null,
+    "contract_id": null,
+    "customer_id": 2,
+    "supplier_id": null,
+    "write_off_type": null,
+    "currency_code": null,
+    "fx_rate": null,
+    "discount_amount": null,
+    "write_off_amount": 272.54,
+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
+    "write_off_id": 7,
+    "write_off_number": "WOFF51718480",
+    "doc_date_utc": null,
+    "contract_id": null,
+    "customer_id": 9,
+    "supplier_id": null,
+    "write_off_type": null,
+    "currency_code": null,
+    "fx_rate": null,
+    "discount_amount": null,
+    "write_off_amount": 3758.38,
+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
+    "write_off_id": 8,
+    "write_off_number": "WOFF79810467",
+    "doc_date_utc": null,
+    "contract_id": null,
+    "customer_id": 6,
+    "supplier_id": null,
+    "write_off_type": null,
+    "currency_code": null,
+    "fx_rate": null,
+    "discount_amount": null,
+    "write_off_amount": 596.88,
+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
+    "write_off_id": 9,
+    "write_off_number": "WOFF97024109",
+    "doc_date_utc": null,
+    "contract_id": null,
+    "customer_id": 7,
+    "supplier_id": null,
+    "write_off_type": null,
+    "currency_code": null,
+    "fx_rate": null,
+    "discount_amount": null,
+    "write_off_amount": 1841.56,
+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  },
+  {
+    "write_off_id": 10,
+    "write_off_number": "WOFF59780497",
+    "doc_date_utc": null,
+    "contract_id": null,
+    "customer_id": 2,
+    "supplier_id": null,
+    "write_off_type": null,
+    "currency_code": null,
+    "fx_rate": null,
+    "discount_amount": null,
+    "write_off_amount": 1310.11,
+    "event_time_utc": "26/12/2025 05:36:11.-1f+00",
+    "source_system": null,
+    "last_updated_utc": "26/12/2025 05:36:11.-1f+00"
+  }
+]

sql/现有表.json

@@ -0,0 +1,107 @@
+[
+  {
+    "table_name": "dim_bom"
+  },
+  {
+    "table_name": "dim_contract"
+  },
+  {
+    "table_name": "dim_customer"
+  },
+  {
+    "table_name": "dim_equipment"
+  },
+  {
+    "table_name": "dim_operation"
+  },
+  {
+    "table_name": "dim_person"
+  },
+  {
+    "table_name": "dim_product"
+  },
+  {
+    "table_name": "dim_qc_reason"
+  },
+  {
+    "table_name": "dim_routing"
+  },
+  {
+    "table_name": "dim_supplier"
+  },
+  {
+    "table_name": "dim_warehouse"
+  },
+  {
+    "table_name": "fact_ap_payment"
+  },
+  {
+    "table_name": "fact_ar_receipt"
+  },
+  {
+    "table_name": "fact_cash_flow"
+  },
+  {
+    "table_name": "fact_commission"
+  },
+  {
+    "table_name": "fact_inventory_count"
+  },
+  {
+    "table_name": "fact_inventory_movement"
+  },
+  {
+    "table_name": "fact_inventory_transfer"
+  },
+  {
+    "table_name": "fact_invoice"
+  },
+  {
+    "table_name": "fact_labor_report"
+  },
+  {
+    "table_name": "fact_lead"
+  },
+  {
+    "table_name": "fact_operation_task"
+  },
+  {
+    "table_name": "fact_opportunity"
+  },
+  {
+    "table_name": "fact_production_plan"
+  },
+  {
+    "table_name": "fact_purchase_order"
+  },
+  {
+    "table_name": "fact_purchase_receipt"
+  },
+  {
+    "table_name": "fact_purchase_request"
+  },
+  {
+    "table_name": "fact_purchase_return"
+  },
+  {
+    "table_name": "fact_quality_inspection"
+  },
+  {
+    "table_name": "fact_sales_order"
+  },
+  {
+    "table_name": "fact_sales_return"
+  },
+  {
+    "table_name": "fact_sales_shipment"
+  },
+  {
+    "table_name": "fact_scrap"
+  },
+  {
+    "table_name": "fact_work_order"
+  },
+  {
+    "table_name": "fact_write_off"
+  }
+]