feat(analyzeWorkOrder): 重构工单分析MCP技能模块并更新业务查询配置

- 将项目名称从 lzwcai-mcp-sqlexecutor 重命名为 lzwcai-mcpskills-analyzeWorkOrder
- 更新 README.md 中的安装命令、使用说明和配置示例
- 本地化业务查询名称，将中文业务名称改为英文，如"查询列表"改为"QueryList"
- 优化SQL模板，移除中文列别名，使用英文字段名
- 新增销售订单相关查询功能，包括订单列表、订单详情、交付风险预测
- 添加部门人效产值损耗三维仪表盘查询
- 更新包的初始化信息和版本号

lzwcai_mcpskills_analyzeWorkOrder/README.md

@@ -1,4 +1,4 @@
-# lzwcai-mcp-sqlexecutor
+# 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。
 
@@ -14,7 +14,7 @@
 ### 使用 pip 安装
 
 ```bash
-pip install lzwcai-mcp-sqlexecutor
+pip install lzwcai-mcpskills-analyzeWorkOrder
 ```
 
 ### 从源码安装
@@ -28,7 +28,7 @@ pip install -e .
 ### 使用 uv 安装（推荐）
 
 ```bash
-uv pip install lzwcai-mcp-sqlexecutor
+uv pip install lzwcai-mcpskills-analyzeWorkOrder
 ```
 
 ## 使用方法
@@ -38,7 +38,7 @@ uv pip install lzwcai-mcp-sqlexecutor
 安装后，可以直接通过命令启动：
 
 ```bash
-lzwcai-mcp-sqlexecutor
+lzwcai-mcpskills-analyzeWorkOrder
 ```
 
 ### 作为 Python 模块运行
@@ -55,7 +55,7 @@ python -m lzwcai_mcp_sqlexecutor.main
 {
   "mcpServers": {
     "lzwcai-sqlexecutor": {
-      "command": "lzwcai-mcp-sqlexecutor"
+      "command": "lzwcai-mcpskills-analyzeWorkOrder"
     }
   }
 }

lzwcai_mcpskills_analyzeWorkOrder/lzwcai_mcpskills_analyzeWorkOrder/README.md

@@ -1,4 +1,4 @@
-# lzwcai-mcp-sqlexecutor
+# 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。
 
@@ -14,7 +14,7 @@
 ### 使用 pip 安装
 
 ```bash
-pip install lzwcai-mcp-sqlexecutor
+pip install lzwcai-mcpskills-analyzeWorkOrder
 ```
 
 ### 从源码安装
@@ -28,7 +28,7 @@ pip install -e .
 ### 使用 uv 安装（推荐）
 
 ```bash
-uv pip install lzwcai-mcp-sqlexecutor
+uv pip install lzwcai-mcpskills-analyzeWorkOrder
 ```
 
 ## 使用方法
@@ -38,7 +38,7 @@ uv pip install lzwcai-mcp-sqlexecutor
 安装后，可以直接通过命令启动：
 
 ```bash
-lzwcai-mcp-sqlexecutor
+lzwcai-mcpskills-analyzeWorkOrder
 ```
 
 ### 作为 Python 模块运行
@@ -55,7 +55,7 @@ python -m lzwcai_mcp_sqlexecutor.main
 {
   "mcpServers": {
     "lzwcai-sqlexecutor": {
-      "command": "lzwcai-mcp-sqlexecutor"
+      "command": "lzwcai-mcpskills-analyzeWorkOrder"
     }
   }
 }

lzwcai_mcpskills_analyzeWorkOrder/lzwcai_mcpskills_analyzeWorkOrder/__init__.py

@@ -1,5 +1,5 @@
 """
-lzwcai-mcp-sqlexecutor - MCP server for executing business SQL queries
+lzwcai-mcpskills-analyzeWorkOrder - 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-mcp-sqlexecutor")
+server = Server("lzwcai-mcpskills-analyzeWorkOrder")
 
 # 缓存查询配置，避免重复加载
 _queries_cache = None
@@ -226,16 +226,30 @@ async def handle_call_tool(
                 api_response = test_sql_with_schema(request_data)
                 mcp_logger.info("测试SQL API调用成功")
                 
-                # 只返回 API 响应结果
+                # 返回包含 data 字段的结果
-                result_text = json.dumps(api_response, ensure_ascii=False, indent=2)
+                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_text = json.dumps({"error": error_msg}, ensure_ascii=False, indent=2)
+                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_text = json.dumps({"error": error_msg}, ensure_ascii=False, indent=2)
+            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}")
         
@@ -297,7 +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-mcp-sqlexecutor")
+        mcp_logger.info("正在启动 MCP 服务器: lzwcai-mcpskills-analyzeWorkOrder")
         mcp_logger.info("版本: 0.1.0")
         mcp_logger.info("=" * 60)
         
@@ -318,7 +332,7 @@ async def async_main():
                 read_stream,
                 write_stream,
                 InitializationOptions(
-                    server_name="lzwcai-mcp-sqlexecutor",
+                    server_name="lzwcai-mcpskills-analyzeWorkOrder",
                     server_version="0.1.0",
                     capabilities=server.get_capabilities(
                         notification_options=NotificationOptions(),

lzwcai_mcpskills_analyzeWorkOrder/lzwcai_mcpskills_analyzeWorkOrder/pyproject.toml

@@ -3,8 +3,8 @@ requires = ["hatchling"]
 build-backend = "hatchling.build"
 
 [project]
-name = "lzwcai-mcp-sqlexecutor"
+name = "lzwcai-mcpskills-analyzeWorkOrder"
-version = "0.1.6"
+version = "0.1.10"
 description = "MCP server for executing business SQL queries with dynamic tool generation"
 readme = "README.md"
 requires-python = ">=3.13"
@@ -26,10 +26,10 @@ dependencies = [
 ]
 
 [project.scripts]
-lzwcai-mcp-sqlexecutor = "lzwcai_mcp_sqlexecutor.main:main"
+lzwcai-mcpskills-analyzeWorkOrder = "lzwcai_mcpskills_analyzeWorkOrder.main:main"
 
 [tool.hatch.build.targets.wheel]
-packages = ["lzwcai_mcp_sqlexecutor"]
+packages = ["lzwcai_mcpskills_analyzeWorkOrder"]
 
 [tool.hatch.build.targets.wheel.force-include]
-"lzwcai_mcp_sqlexecutor/businessQueries.json" = "lzwcai_mcp_sqlexecutor/businessQueries.json"
+"lzwcai_mcpskills_analyzeWorkOrder/businessQueries.json" = "lzwcai_mcpskills_analyzeWorkOrder/businessQueries.json"

lzwcai_mcpskills_analyzeWorkOrder/lzwcai_mcpskills_analyzeWorkOrder/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_analyzeWorkOrder/lzwcai_mcpskills_analyzeWorkOrder/uv.lock

@@ -146,7 +146,7 @@ wheels = [
 ]
 
 [[package]]
-name = "lzwcai-mcp-sqlexecutor"
+name = "lzwcai-mcpskills-analyzeWorkOrder"
 version = "0.1.0"
 source = { virtual = "." }
 dependencies = [

lzwcai_mcpskills_analyzeWorkOrder/main.py

@@ -1,5 +1,5 @@
 """
-Entry point for lzwcai-mcp-sqlexecutor
+Entry point for lzwcai-mcpskills-analyzeWorkOrder
 Runs the MCP server for SQL query execution
 """
 import os

lzwcai_mcpskills_analyzeWorkOrder/pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
 
 [project]
 name = "lzwcai-mcpskills-analyzeWorkOrder"
-version = "0.1.8"
+version = "0.1.12"
 description = "MCP server for executing business SQL queries with dynamic tool generation"
 readme = "README.md"
 requires-python = ">=3.13"