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_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"