feat: FastAPI+SSE API server, JRXML auto-reorder, session integrity fixes

2026-05-22 17:53:59 +08:00
parent 1144a86d02
commit 1e5ce9725b
32 changed files with 9189 additions and 309 deletions
@@ -0,0 +1,46 @@
+{
+  "permissions": {
+    "allow": [
+      "Bash(git submodule *)",
+      "Bash(python -c \"import py_compile; py_compile.compile\\('scripts/init_kb.py', doraise=True\\); print\\('init_kb.py OK'\\)\")",
+      "Bash(python -c \"import py_compile; py_compile.compile\\('agent/nodes.py', doraise=True\\); print\\('nodes.py OK'\\)\")",
+      "Bash(python -c \"import py_compile; py_compile.compile\\('backend/embeddings.py', doraise=True\\); print\\('embeddings.py OK'\\)\")",
+      "Bash(python *)",
+      "Bash(PYTHONIOENCODING=utf-8 python batch_chunker.py jrxml_source)",
+      "Bash(taskkill /F /IM python.exe)",
+      "Bash(pkill -f embed_chunks)",
+      "Bash(pip show *)",
+      "Bash(streamlit run *)",
+      "Bash(curl -s http://localhost:8001/validate -X POST -H \"Content-Type: application/json\" -d '{\"jrxml\":\"\"}')",
+      "Bash(STREAMLIT_SERVER_HEADLESS=true streamlit run app.py --server.port 8501)",
+      "Bash(git add *)",
+      "Bash(git commit -m ' *)",
+      "Bash(pip install *)",
+      "Bash(git push *)",
+      "Bash(claude mcp *)",
+      "mcp__zai-mcp-server__extract_text_from_screenshot",
+      "mcp__MiniMax__understand_image",
+      "Bash(curl -s http://localhost:8001/health)",
+      "Bash(curl -s -o /dev/null -w \"%{http_code}\" http://localhost:8501)",
+      "Bash(curl -s -X POST http://localhost:8001/validate -H \"Content-Type: application/json\" -d \"{\\\\\"jrxml\\\\\": \\\\\"\\\\\"}\")",
+      "Bash(curl -s -X POST http://localhost:8001/validate -H \"Content-Type: application/json\" -d \"{\\\\\"jrxml\\\\\": \\\\\"<?xml version=\\\\\\\\\\\\\"1.0\\\\\\\\\\\\\"?><jasperReport name=\\\\\\\\\\\\\"test\\\\\\\\\\\\\" pageWidth=\\\\\\\\\\\\\"595\\\\\\\\\\\\\" pageHeight=\\\\\\\\\\\\\"842\\\\\\\\\\\\\"><queryString><![CDATA[SELECT 1]]></queryString></jasperReport>\\\\\"}\")",
+      "Bash(curl -s -X POST http://localhost:8001/validate -H \"Content-Type: application/json\" -d \"{\\\\\"jrxml\\\\\": \\\\\"<?xml version=\\\\\\\\\\\\\"1.0\\\\\\\\\\\\\"?><jasperReport name=\\\\\\\\\\\\\"test\\\\\\\\\\\\\" pageWidth=\\\\\\\\\\\\\"595\\\\\\\\\\\\\" pageHeight=\\\\\\\\\\\\\"842\\\\\\\\\\\\\"><queryString><![CDATA[SELECT 1]]></queryString><detail><band height=\\\\\\\\\\\\\"50\\\\\\\\\\\\\"/></detail></jasperReport>\\\\\"}\")",
+      "Bash(curl -s -X POST http://localhost:8001/validate -H 'Content-Type: application/json' -d '{\"jrxml\": \"<?xml version=\\\\\"1.0\\\\\"?><jasperReport name=\\\\\"test\\\\\" pageWidth=\\\\\"595\\\\\" pageHeight=\\\\\"842\\\\\"><queryString><![CDATA[SELECT name FROM users]]></queryString><field name=\\\\\"name\\\\\" class=\\\\\"java.lang.String\\\\\"/><detail><band height=\\\\\"50\\\\\"><textField><reportElement x=\\\\\"0\\\\\" y=\\\\\"0\\\\\" width=\\\\\"100\\\\\" height=\\\\\"20\\\\\"/><textFieldExpression><![CDATA[$F{name}]]></textFieldExpression></textField></band></detail></jasperReport>\"}')",
+      "Bash(curl -s -o /dev/null -w \"Streamlit: %{http_code}\\\\n\" http://localhost:8501)",
+      "Bash(grep -v \"Complete$\")",
+      "Bash(git pull *)",
+      "Bash(pip search *)",
+      "Read",
+      "Write",
+      "Edit",
+      "Bash",
+      "Git",
+      "Npm",
+      "Pip",
+      "Grep",
+      "Glob",
+      "Bash(rm -rf components/* assets/* style.css)",
+      "Bash(mkdir -p api stores components utils)"
+    ]
+  }
+}
@@ -48,7 +48,7 @@ RAG_USE_FP16=true
 RAG_BATCH_SIZE=64

 # 最大自动修正尝试次数
-MAX_RETRY=3
+MAX_RETRY=5

 # 上下文压缩阈值（token 数）
 CONTEXT_MAX_TOKENS=6000
@@ -0,0 +1,341 @@
+# JRXML 生成代理 — 架构文档
+
+## 概览
+
+一个三层架构的桌面应用，通过自然语言多轮对话帮助非技术用户创建 JasperReports 模板（JRXML）。核心流程：用户输入 → 意图识别 → 模板检索 → LLM 生成/修改 → 自动验证修正 → 输出可编译的 JRXML。
+
+```
+┌──────────────────────────────────────────────────────────────┐
+│                Vue 3 + Vite 前端 (:5173)                      │
+│               frontend/ (聊天界面 + SSE 流式)                  │
+│  聊天界面 / 会话管理 / JRXML 预览 / 下载 / 快捷操作            │
+└─────────────────────┬────────────────────────────────────────┘
+                      │ HTTP + SSE (/api/*)
+                      ▼
+┌──────────────────────────────────────────────────────────────┐
+│               FastAPI SSE 后端 (:8000)                        │
+│                    api_server.py                              │
+│  REST: /api/sessions, /api/upload, /api/.../download/latest  │
+│  SSE:  /api/sessions/{id}/chat (流式推送)                     │
+│  事件: node_start | node_complete | stream_token              │
+│        agent_complete | agent_error                           │
+└─────────────────────┬────────────────────────────────────────┘
+                      │ run_agent(user_input)
+                      ▼
+┌──────────────────────────────────────────────────────────────┐
+│               LangGraph 状态机 (agent/)                       │
+│                                                              │
+│  load_session → process_input → manage_context               │
+│     → save_state_snapshot → classify_intent                  │
+│        │          │           │         │        │           │
+│        ▼          ▼           ▼         ▼        ▼           │
+│    retrieve   modify_jrxml  preview   consult  undo/reset    │
+│        │          │         /export                          │
+│        ▼          ▼                                         │
+│     generate     save_session                                │
+│        │          │                                          │
+│        └────┬─────┘                                          │
+│             ▼                                                │
+│  (jrxml_reorder 自动规范化元素顺序)                            │
+│             ▼                                                │
+│         validate ──(fail)──► explain_error ──► correct_jrxml │
+│            │                       ▲              │          │
+│          (pass)                    └──(retry<N)───┘          │
+│             ▼                                                │
+│         finalize (失败版本 → jrxml_versions, 提示下载)         │
+└──────────┬──────────────┬─────────────────────┬──────────────┘
+           │              │                     │
+           ▼              ▼                     ▼
+┌──────────────┐  ┌──────────────┐  ┌──────────────────────────┐
+│  LLM 后端    │  │ 向量知识库   │  │  验证服务 (:8001)         │
+│ backend/llm  │  │ ChromaDB +   │  │  FastAPI                  │
+│              │  │ RAGSearcher  │  │  结构检查 + 严格 XSD 校验  │
+│ Anthropic SDK│  │              │  │                           │
+│ OpenAI SDK   │  │ Sentence-    │  │  /validate                │
+│ Ollama       │  │ Transformer  │  │  /health                  │
+└──────────────┘  └──────────────┘  └──────────────────────────┘
+```
+
+## 目录结构
+
+```
+agent_jrxml/
+├── api_server.py                   # FastAPI SSE 后端（REST + 流式推送）
+│
+├── frontend/                       # Vue 3 + Vite 前端
+│   └── src/
+│       ├── api/client.ts           # SSE 客户端 + fetch 封装
+│       ├── stores/                 # Pinia 状态管理（chat + session）
+│       └── components/             # 聊天界面组件
+│
+├── agent/                          # LangGraph 工作流层
+│   ├── __init__.py
+│   ├── state.py                    # AgentState TypedDict 定义（~28 字段）
+│   ├── nodes.py                    # 18 个工作流节点（生成/修改/验证/修正/意图识别...）
+│   └── graph.py                    # 状态图编译 + 路由逻辑 + 初始状态工厂
+│
+├── backend/                        # 基础设施层
+│   ├── __init__.py
+│   ├── llm.py                      # LLM 工厂：Anthropic(MiniMax) / OpenAI / Ollama
+│   ├── embeddings.py               # 嵌入模型工厂：HuggingFace / OpenAI
+│   ├── validation.py               # 验证服务 HTTP 客户端
+│   ├── session.py                  # 会话持久化（JSON CRUD + flush/fsync）
+│   ├── jrxml_reorder.py            # JRXML 元素自动排序（匹配 XSD sequence）
+│   └── rag_adapter.py              # RAG 适配层：连接 ChromaDB 做语义搜索
+│
+├── validation_service/             # 独立验证微服务
+│   ├── main.py                     # FastAPI 服务：结构检查 + 严格 XSD 校验
+│   └── schemas/
+│       └── jasperreport_7_0_6.xsd  # JasperReports 7.0.6 XSD（286KB）
+│
+├── scripts/
+│   └── init_kb.py                  # 知识库初始化（预下载嵌入模型）
+│
+├── tests/
+│   ├── __init__.py
+│   ├── test_validation.py          # 验证服务单元测试
+│   └── test_agent.py               # 代理集成测试
+│
+├── data/                           # 数据目录
+│   ├── sample_templates/           # 示例 JRXML 模板
+│   └── corrections/                # 错误修正案例
+│
+├── db/chroma/                      # ChromaDB 持久化存储
+├── sessions/                       # 会话 JSON 文件存储
+├── jrxml_versions/                 # 失败版本归档存储
+├── rag/                            # RAG 子模块（独立管线）
+├── requirements.txt                # Python 依赖
+├── start_all.bat                   # 一键启动全部服务
+├── start.bat                       # 启动脚本
+├── stop.bat                        # 一键停止全部服务
+├── .env.example                    # 环境变量模板
+└── README.md                       # 使用说明
+```
+
+## 数据流详解
+
+### 1. 请求生命周期
+
+```
+用户输入 "创建员工名册，包含 id、name、department"
+  │
+  ├─ load_session      从 sessions/{id}.json 恢复历史状态
+  ├─ process_input     记录用户消息到 conversation_history
+  ├─ manage_context    检查 token 数，超阈值则 LLM 压缩早期对话
+  ├─ save_state_snapshot  保存当前状态快照（用于撤销）
+  ├─ classify_intent   LLM 分类 → initial_generation
+  ├─ retrieve          RAGSearcher.search_as_context() → 注入 prompt
+  ├─ generate          LLM 生成初始 JRXML
+  ├─ save_session      持久化到磁盘
+  ├─ validate          调用 FastAPI 验证服务
+  │   ├─ pass → finalize
+  │   └─ fail → explain_error → correct_jrxml → validate (最多 5 次)
+  └─ finalize          保存最终 JRXML，UI 展示结果
+```
+
+### 2. 意图路由（8 种意图）
+
+| 意图 | 条件 | 路由目标 |
+|------|------|---------|
+| `initial_generation` | 无现有报表 | retrieve → generate |
+| `modify_report` | 有现有报表 | modify_jrxml |
+| `preview_report` | — | 直接展示 current_jrxml |
+| `export_jrxml` | — | 触发下载 |
+| `export_pdf` | — | 触发下载 |
+| `consult_question` | — | handle_consult（独立回答） |
+| `undo_modification` | history_states 非空 | 恢复上一个快照 |
+| `reset_session` | — | 清空所有报表状态 |
+
+### 3. 自动修正循环
+
+```
+validate ──fail──► explain_error ──► correct_jrxml ──► validate
+   ▲                                                       │
+   └──────────── retry_count < MAX_RETRY (5) ──────────────┘
+```
+
+每次修正都会递增 `retry_count`，达到上限后直接 `finalize`（即使仍有错误），在 UI 上展示错误信息。
+
+## 核心组件
+
+### AgentState（agent/state.py）
+
+```python
+class AgentState(TypedDict, total=False):
+    # 工作流核心
+    conversation_history: List[dict]     # 当前上下文的对话（可能被压缩裁剪）
+    current_jrxml: str                   # 当前 JRXML 文本
+    user_input: str                      # 本轮用户输入
+    status: str                          # "pass" | "fail"
+    error_msg: str                       # 验证错误信息
+    natural_explanation: str             # 错误的人类可读解释
+    retry_count: int                     # 当前修正尝试次数
+    user_modification_request: str       # 修改请求文本
+    final_jrxml: str                     # 最终验证通过的 JRXML
+    stage: str                           # 当前阶段标识
+    retrieved_context: str               # RAG 检索到的模板上下文
+
+    # 上下文压缩
+    full_conversation_history: List[dict]  # 完整对话（含时间戳）
+    compressed_history: str                # 早期对话的压缩摘要
+    current_token_count: int               # 当前估算 token 数
+
+    # 会话持久化
+    session_id: str
+    session_name: str
+    created_at: str
+    updated_at: str
+
+    # 意图识别 + 撤销
+    intent: str                          # 8 种意图之一
+    history_states: List[dict]           # 状态快照栈（最多 10 个）
+```
+
+### 工作流节点（agent/nodes.py）
+
+| 节点 | 职责 | 调用外部 |
+|------|------|---------|
+| `load_session_node` | 从磁盘恢复会话状态 | `backend.session.load_session` |
+| `process_input` | 记录用户输入到对话历史 | — |
+| `manage_context` | token 超阈值时 LLM 压缩早期对话 | `get_llm()` |
+| `save_state_snapshot` | 保存快照到 history_states | — |
+| `classify_intent` | LLM 分类用户意图（8 类） | `get_llm()` |
+| `retrieve` | 从 ChromaDB 搜索相关模板 | `backend.rag_adapter.search_chunks` |
+| `generate` | 首次生成 JRXML | `get_llm()` |
+| `modify_jrxml` | 根据用户需求修改现有 JRXML | `get_llm()` |
+| `validate` | 调用验证服务检查 JRXML | `backend.validation.validate_jrxml` |
+| `explain_error` | LLM 将编译错误翻译为人话 | `get_llm()` |
+| `correct_jrxml` | LLM 自动修正验证失败 | `get_llm()` |
+| `finalize` | 保存最终 JRXML，标记完成 | — |
+| `handle_consult` | 回答 JasperReports 咨询 | `get_llm()` |
+| `handle_undo` | 从 history_states 恢复上一状态 | — |
+| `handle_reset` | 清空报表，重置会话 | — |
+| `save_session_node` | 持久化当前状态到磁盘 | `backend.session.save_session` |
+
+### LLM 工厂（backend/llm.py）
+
+```
+get_llm()
+  ├─ LLM_BACKEND=local  → langchain_ollama.ChatOllama
+  └─ LLM_BACKEND=cloud
+       ├─ LLM_PROVIDER=anthropic  → raw anthropic.Anthropic SDK
+       │    适配 MiniMax Anthropic 兼容 API
+       │    包装为 MiniMaxLLM（提供 .invoke() 接口）
+       └─ LLM_PROVIDER=openai     → langchain_openai.ChatOpenAI
+```
+
+**MiniMaxLLM 适配器**：将 Anthropic SDK 的 `client.messages.create()` 包装成与 LangChain 兼容的 `.invoke(prompt) → Response.content` 接口，供所有节点统一调用。
+
+### RAG 适配层（backend/rag_adapter.py）
+
+```
+search_chunks(query, k=5)
+  └─ RAGSearcher（单例）
+       ├─ 懒加载 SentenceTransformer 模型
+       ├─ 懒连接 ChromaDB PersistentClient
+       ├─ query → 向量编码 → collection.query() → top-k 结果
+       └─ search_as_context() → 拼接带元数据标签的上下文字符串
+```
+
+### 验证服务（validation_service/main.py）
+
+独立的 FastAPI 进程（端口 8001），提供两级验证：
+
+1. **结构检查**（始终执行）：
+   - XML 语法正确性
+   - `$F{field}` 引用一致性（表达式 vs `<field>` 声明）
+   - `<queryString>` 是否含有效 SQL SELECT
+   - `<jasperReport>` 必需属性（pageWidth, pageHeight, name）
+
+2. **XSD Schema 校验**（可选）：
+   - 需要 `validation_service/schemas/jasperreport_7_0_6.xsd` 文件
+   - 使用 `lxml.etree.XMLSchema` 进行完整 schema 校验
+
+### 会话持久化（backend/session.py）
+
+```
+sessions/{session_id}.json
+  {
+    "session_id": "abc123def456",
+    "session_name": "员工名册报表",
+    "created_at": "2026-05-19T09:00:00+00:00",
+    "updated_at": "2026-05-19T09:30:00+00:00",
+    "agent_state": { ... }   // 完整的 AgentState 字段
+  }
+```
+
+## 关键 Prompt 设计
+
+| Prompt | 用途 | 输出约束 |
+|--------|------|---------|
+| `INTENT_CLASSIFY_PROMPT` | 8 分类意图识别 | 只输出意图名称 |
+| `INITIAL_GENERATION_PROMPT` | 首次生成 JRXML | 只输出 JRXML，无 markdown |
+| `MODIFICATION_PROMPT` | 修改现有 JRXML | 只输出完整 JRXML |
+| `CORRECTION_PROMPT` | 自动修正错误 | 只输出修复后 JRXML |
+| `EXPLAIN_PROMPT` | 错误转人话 | 2-3 句话 |
+| `COMPRESSION_PROMPT` | 对话压缩 | ≤200 字摘要 |
+| `CONSULT_PROMPT` | 咨询解答 | 简洁中文 |
+
+## 配置参数（.env）
+
+| 参数 | 默认值 | 说明 |
+|------|--------|------|
+| `LLM_BACKEND` | cloud | cloud / local |
+| `LLM_PROVIDER` | openai | openai / anthropic |
+| `OPENAI_API_KEY` | — | API 密钥 |
+| `OPENAI_BASE_URL` | https://api.openai.com/v1 | API 端点 |
+| `LLM_MODEL` | gpt-4o | 模型名称 |
+| `LOCAL_LLM_MODEL` | qwen2.5-coder:7b | Ollama 模型 |
+| `EMBED_BACKEND` | local | local / cloud |
+| `LOCAL_EMBED_MODEL` | Qwen/Qwen3-Embedding-0.6B | 本地嵌入模型 |
+| `VALIDATION_SERVICE_URL` | http://localhost:8001/validate | 验证端点 |
+| `CHROMA_PERSIST_DIR` | ./db/chroma | ChromaDB 路径 |
+| `MAX_RETRY` | 5 | 自动修正最大尝试次数 |
+| `CONTEXT_MAX_TOKENS` | 6000 | 触发压缩的 token 阈值 |
+| `CONTEXT_KEEP_RECENT` | 4 | 保留最近 N 轮完整对话 |
+| `SESSIONS_DIR` | ./sessions | 会话 JSON 存储目录 |
+| `HISTORY_MAX_SNAPSHOTS` | 10 | 撤销快照保留数量 |
+
+## 启动流程
+
+```bash
+# 1. 安装依赖
+pip install -r requirements.txt
+
+# 2. 配置环境
+cp .env.example .env
+# 编辑 .env 填入 API 密钥
+
+# 3. 初始化知识库（预下载嵌入模型）
+python scripts/init_kb.py --download-model
+
+# 4. 启动验证服务（终端 1）
+python -m uvicorn validation_service.main:app --port 8001 --host 0.0.0.0
+
+# 5. 启动 Streamlit 界面（终端 2）
+STREAMLIT_SERVER_HEADLESS=true streamlit run app.py --server.port 8501
+
+# 6. 访问 http://localhost:8501
+```
+
+## 测试
+
+```bash
+pytest tests/test_validation.py -v    # 验证服务单元测试
+pytest tests/test_agent.py -v         # 代理集成测试
+pytest tests/ -v                      # 全部测试
+```
+
+## 技术栈
+
+| 层 | 技术 |
+|----|------|
+| UI | Streamlit 1.57 |
+| 工作流引擎 | LangGraph 1.2 |
+| LLM 接入 | Anthropic SDK / LangChain-OpenAI / LangChain-Ollama |
+| 向量数据库 | ChromaDB 1.5 |
+| 嵌入模型 | Sentence-Transformers (HuggingFace) |
+| 验证服务 | FastAPI + lxml XMLSchema |
+| HTTP 客户端 | httpx |
+| Token 计算 | tiktoken |
+| 持久化 | JSON 文件 + ChromaDB PersistentClient |
@@ -31,7 +31,7 @@

 ## 1. 项目是什么

-**一句话**：用户用中文描述报表需求 → LLM 生成 JRXML 模板 → 自动验证 → 失败则自动修正（最多 3 次）→ 重试耗尽后失败上下文自动注入下一轮 → 返回可用的 JRXML 文件。
+**一句话**：用户用中文描述报表需求 → LLM 生成 JRXML 模板 → 自动验证 → 失败则自动修正（最多 5 次）→ 重试耗尽后失败上下文自动注入下一轮 → 返回可用的 JRXML 文件。

 **技术栈**：Streamlit（UI） + LangGraph（状态机） + LLM（MiniMax/OpenAI/Ollama） + ChromaDB（向量库） + FastAPI（验证微服务）

@@ -110,7 +110,7 @@ streamlit run app.py --server.port 8501
 │              │                    │                           │
 │              │              correct_jrxml                     │
 │              │                    │                           │
-│              │           (retry < 3) ────┘                    │
+│              │           (retry < 5) ────┘                    │
 │              ▼                                                │
 │          finalize → END                                       │
 └──────────────────────────┬───────────────────────────────────┘
@@ -251,14 +251,14 @@ def route_after_correct(state) -> Literal["validate", "finalize"]:
    return "validate" if state.get("retry_count", 0) < MAX_RETRY else "finalize"
 ```

-**MAX_RETRY 默认为 3**（`.env` 中配置）。重试耗尽后进入 finalize，finalize 会将失败上下文写入 `pending_failure_context`，下次用户输入时 `process_input` 自动注入。
+**MAX_RETRY 默认为 5**（`.env` 中配置）。重试耗尽后进入 finalize，finalize 会将失败上下文写入 `pending_failure_context`，下次用户输入时 `process_input` 自动注入。
 ```

 **关键路由逻辑**：
 - `route_by_intent`：8 种意图分叉，是整个系统的"交通枢纽"
 - `route_after_retrieve`：有 layout_schema → 3 阶段精确生成（generate_skeleton → refine_layout → map_fields），无 schema → 原 1-shot generate
 - `route_after_save`：预览/导出意图**跳过验证**直通 finalize（这是修复预览问题的关键）
- `route_after_correct`：重试次数 < 3 则继续验证循环，否则认输
+- `route_after_correct`：重试次数 < 5 则继续验证循环，否则认输

 ### 5.2 图构建

@@ -347,9 +347,9 @@ def build_graph():
   │     ▼                                        │
   │  correct_jrxml                               │
   │     │                                        │
-   │     ├── retry < 3? ──► validate (循环)       │
+   │     ├── retry < 5? ──► validate (循环)       │
   │     │                                        │
-   │     └── retry >= 3? ──► finalize (放弃)      │
+   │     └── retry >= 5? ──► finalize (放弃)      │
   │                                              │
   ▼                                              │
 finalize ──► END                                  │
@@ -1169,7 +1169,7 @@ parent.addEventListener('keydown', function(e) {
 | `RAG_USE_GPU` | `true` | GPU 加速 |
 | `RAG_USE_FP16` | `true` | 半精度推理 |
 | `VALIDATION_SERVICE_URL` | `http://localhost:8001/validate` | 验证服务地址 |
-| `MAX_RETRY` | `3` | 最大自动修正次数 |
+| `MAX_RETRY` | `5` | 最大自动修正次数 |
 | `CONTEXT_MAX_TOKENS` | `6000` | 触发压缩的 token 阈值 |
 | `CONTEXT_KEEP_RECENT` | `4` | 压缩时保留最近 N 轮 |
 | `SESSIONS_DIR` | `./sessions` | 会话文件目录 |
@@ -0,0 +1,91 @@
+# RAG 知识库集成说明
+
+## 概述
+
+使用 `rag_jrxml` 子项目的语义分块管线替换原有的简单向量知识库。`rag_jrxml` 独立运行产出 ChromaDB，主项目通过 `backend/rag_adapter.py` 查询。
+
+## 架构
+
+```
+rag/                              ← git submodule (rag_jrxml)
+├── jrxml_source/                 ← 源数据目录 (242 .jrxml + 16 .md)
+├── models/                       ← 嵌入模型本地存放
+│   └── paraphrase-multilingual-MiniLM-L12-v2/   (449MB, 384维)
+├── jrxml_source_chunks/          ← 分块产物 (all_chunks.json, 15,510 chunks)
+├── embeddings/                   ← 向量产物 (embeddings.npy, 23MB)
+
+db/chroma/                        ← ChromaDB 持久化 (主项目查询端读取)
+│   集合: jrxml_chunks (15,510 条记录, cosine 距离)
+
+backend/rag_adapter.py            ← RAGSearcher: 加载模型 + 连接 ChromaDB + 搜索
+agent/nodes.py                    ← retrieve() 调用 search_chunks()
+```
+
+## 管线流程
+
+```
+源文件 (.jrxml + .md)
+  → batch_chunker.py    语义分块 (按 XML 元素/标题层级切分)
+  → embed_chunks.py     向量化 (Sentence-Transformers, CPU)
+  → import_to_chroma.py 导入 ChromaDB
+  → rag_adapter.py      主项目查询
+```
+
+## 当前数据
+
+| 指标 | 数值 |
+|---|---|
+| 源文件 | 258 (242 JRXML + 16 MD) |
+| Chunks 总数 | 15,510 |
+| 嵌入维度 | 384 |
+| 嵌入模型 | sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2 |
+| 分块类型 | query, field, parameter, variable, band_*, chart, crosstab, element_*, section_* 等 |
+| 知识库大小 | embeddings.npy 23MB, ChromaDB ~50MB |
+
+## 主项目配置
+
+`.env` 中相关变量：
+
+```env
+# 嵌入模型 (本地路径优先)
+RAG_EMBED_MODEL=./rag/models/paraphrase-multilingual-MiniLM-L12-v2
+# ChromaDB 路径
+RAG_CHROMA_PATH=./db/chroma
+# 集合名称 (与 rag 子项目一致)
+RAG_COLLECTION_NAME=jrxml_chunks
+```
+
+## 全量构建
+
+```bash
+cd rag
+python batch_chunker.py jrxml_source
+python embed_chunks.py jrxml_source_chunks/all_chunks.json
+python import_to_chroma.py --chroma_path ../db/chroma
+```
+
+## 增量更新
+
+```bash
+# 1. 将新的 .jrxml / .md 放入 rag/jrxml_source/
+# 2. 增量运行
+cd rag
+python batch_chunker.py jrxml_source --incremental
+python embed_chunks.py --incremental
+python import_to_chroma.py --chroma_path ../db/chroma --incremental
+```
+
+## 更新 rag 子项目
+
+```bash
+git submodule update --remote rag
+```
+
+## 搜索接口
+
+```python
+from backend.rag_adapter import search_chunks
+
+# 返回拼接好的上下文字符串，可直接注入 LLM prompt
+context = search_chunks("如何创建饼图", k=5)
+```
@@ -6,7 +6,7 @@

 - **多轮聊天**：通过对话优化报表 -- 添加列、更改标题、添加汇总
 - **自动验证**：每次生成或修改后都会验证 JRXML
- **自动修正**：如果验证失败，代理会分析错误并自动修正（最多 3 次）
+- **自动修正**：如果验证失败，代理会分析错误并自动修正（最多 5 次）
 - **模板检索**：使用 Chroma 向量数据库检索相关的 JRXML 示例以获得更好的生成效果
 - **文件上传**：支持图片（OCR识别）、PDF、Word、Excel、文本文件等
 - **聊天粘贴/拖拽**：支持直接在对话框中 Ctrl+V 粘贴或拖拽文件（图片/PDF/Excel/Word）
@@ -182,7 +182,7 @@ jrxml-agent/
 | LOCAL_EMBED_MODEL | 嵌入模型 | Qwen/Qwen3-Embedding-0.6B |
 | VALIDATION_SERVICE_URL | 验证端点 | http://localhost:8001/validate |
 | CHROMA_PERSIST_DIR | Chroma 存储位置 | ./db/chroma |
-| MAX_RETRY | 自动修正尝试次数 | 3 |
+| MAX_RETRY | 自动修正尝试次数 | 5 |
 | CONTEXT_MAX_TOKENS | 上下文压缩阈值 | 6000 |
 | LOG_DIR | 日志目录 | ./logs |
 | LOG_LEVEL | 日志级别 | DEBUG |
@@ -18,11 +18,11 @@ from backend.logger import get_logger, set_trace_id
 from backend.validation import validate_jrxml
 from prompts.loader import load_prompt

-load_dotenv()
+load_dotenv(override=True)

 _node_log = get_logger("agent")

-MAX_RETRY = int(os.getenv("MAX_RETRY", "3"))
+MAX_RETRY = int(os.getenv("MAX_RETRY", "5"))
 CONTEXT_MAX_TOKENS = int(os.getenv("CONTEXT_MAX_TOKENS", "6000"))
 CONTEXT_KEEP_RECENT = int(os.getenv("CONTEXT_KEEP_RECENT", "4"))
 HISTORY_MAX_SNAPSHOTS = int(os.getenv("HISTORY_MAX_SNAPSHOTS", "10"))
@@ -815,6 +815,14 @@ def validate(state: AgentState) -> Dict:
        state["error_msg"] = f"JRXML 内容过短（{len(jrxml.strip())} 字符），可能为不完整或空内容。"
        return state

+    # 自动规范化 JRXML 元素顺序（符合 XSD sequence 要求）
+    try:
+        from backend.jrxml_reorder import normalize_jrxml
+        jrxml = normalize_jrxml(jrxml)
+        state["current_jrxml"] = jrxml
+    except Exception:
+        pass  # 规范化失败不影响后续流程
+
    result = validate_jrxml(jrxml)
    state["status"] = "pass" if result.get("valid") else "fail"
    state["error_msg"] = result.get("error", "")
@@ -923,6 +931,20 @@ def finalize(state: AgentState) -> Dict:
        # 验证未通过：不覆盖 final_jrxml，保留上一次成功的版本
        retries = state.get("retry_count", 0)
        error_msg = state.get("error_msg", "未知错误")
+        # 保存失败版本到 jrxml_versions（用户可以选择下载）
+        if jrxml.strip():
+            versions = state.get("jrxml_versions", [])
+            if not isinstance(versions, list):
+                versions = []
+            versions.append({
+                "ts": _now_iso(),
+                "jrxml": jrxml,
+                "intent": state.get("intent", ""),
+                "label": f"失败版本 (第{retries}次重试)",
+                "status": "fail",
+                "error_msg": error_msg,
+            })
+            state["jrxml_versions"] = versions
        # 记录失败上下文，下次用户输入时自动注入
        state["pending_failure_context"] = {
            "error_msg": error_msg,
@@ -934,8 +956,8 @@ def finalize(state: AgentState) -> Dict:
            "role": "assistant",
            "content": (
                f"❌ 经过 {retries} 次重试后仍无法生成有效的 JRXML。\n"
-                f"错误: {error_msg}\n"
-                f"请描述您想要的修改，系统会自动加载失败上下文继续修复。"
+                f"错误: {error_msg}\n\n"
+                f"您可以：\n1. 继续描述修改要求，系统将自动重试修复\n2. 点击下载按钮获取当前版本（虽未通过 XSD 验证，但可能可在 Studio 中手动修复）"
            ),
        })
    return state
@@ -966,4 +988,4 @@ def _extract_jrxml(text: str) -> str:
    if xml_start >= 0 and jr_end > xml_start:
        return text[xml_start:jr_end + len("</jasperreport>")].strip()

-    return text
+    return text
@@ -181,6 +181,13 @@ def _run_graph_sync(agent_state: AgentState, event_q: queue.Queue):
                    for node_state in data.values():
                        if isinstance(node_state, dict):
                            agent_state.update(node_state)
+        # 在 graph 完成后立即保存 session，防止 SSE 流中断导致数据丢失
+        sid = agent_state.get("session_id", "")
+        if sid:
+            try:
+                save_session(sid, agent_state)
+            except Exception:
+                pass  # 静默失败，SSE 流中还有一次保存机会
        event_q.put(("done", {"reason": "graph_completed"}))
    except Exception as exc:
        event_q.put(("error", {
@@ -218,6 +225,8 @@ async def _sse_generator(agent_state: AgentState, session_id: str = "") -> str:
                total_ms = round((time.time() - t_start) * 1000)
                if session_id:
                    save_session(session_id, agent_state)
+                versions = agent_state.get("jrxml_versions", [])
+                last_ver = versions[-1] if versions else {}
                yield _sse_line("agent_complete", {
                    "reason": "done",
                    "intent": agent_state.get("intent", ""),
@@ -228,6 +237,9 @@ async def _sse_generator(agent_state: AgentState, session_id: str = "") -> str:
                    "retry_count": agent_state.get("retry_count", 0),
                    "total_duration_ms": total_ms,
                    "ocr_extraction_result": agent_state.get("ocr_extraction_result", {}),
+                    "versions": len(versions),
+                    "has_failed_version": last_ver.get("status") == "fail" if last_ver else False,
+                    "failed_version_index": len(versions) - 1 if last_ver.get("status") == "fail" else -1,
                })
                await future
                return
@@ -532,7 +544,17 @@ async def chat(session_id: str, payload: dict):

    # ── 返回 SSE 流 ──
    async def stream_and_save():
-        final_state = None
+        # 如果上传了附件，先发送处理状态
+        if file_ids:
+            yield _sse_line("node_start", {
+                "node": "process_attachments",
+                "label": "正在处理附件",
+            })
+            yield _sse_line("node_complete", {
+                "node": "process_attachments",
+                "label": "正在处理附件",
+                "detail": f"已解析 {len(file_ids)} 个文件",
+            })
        async for sse_chunk in _sse_generator(agent_state, session_id):
            yield sse_chunk

@@ -622,4 +644,4 @@ async def download_file(file_id: str):
 if __name__ == "__main__":
    import uvicorn
    port = int(os.getenv("API_PORT", "8000"))
-    uvicorn.run("api_server:app", host="0.0.0.0", port=port, reload=True)
+    uvicorn.run("api_server:app", host="0.0.0.0", port=port, reload=False)
@@ -17,13 +17,16 @@ try:
 except Exception:
    pass

+import base64
+import tempfile
 import time
 from pathlib import Path

 import streamlit as st
+import streamlit.components.v1 as components

 from dotenv import load_dotenv
-load_dotenv()
+load_dotenv(override=True)

 from agent.graph import build_graph, create_initial_state
 from backend.session import (
@@ -109,86 +112,6 @@ def _render_jrxml(jrxml: str, max_lines: int = 30):
    st.code(preview, language="xml")


-# ---- 共享文件上传处理 ----
-def _process_uploaded_file(uploaded_file, suffix: str) -> dict:
-    """处理单个上传文件：保存临时文件、解析、布局分析。
-
-    返回: {"name": str, "text": str, "type": str, "tmp_path": str|None}
-    """
-    import tempfile
-    from backend.file_parser import parse_file
-    from backend.layout_analyzer import analyze_layout
-
-    with tempfile.NamedTemporaryFile(suffix=suffix, delete=False) as tmp:
-        tmp.write(uploaded_file.getvalue())
-        tmp_path = tmp.name
-
-    result = parse_file(tmp_path, suffix)
-    parsed_text = result["text"]
-    parsed_type = result["file_type"]
-
-    # 对图片/PDF 进行 A4 模板布局分析
-    if suffix in (".png", ".jpg", ".jpeg", ".bmp", ".webp", ".pdf"):
-        layout = analyze_layout(tmp_path)
-        tt = layout.get("template_type", "unknown")
-        current_jrxml = st.session_state.agent_state.get("current_jrxml", "")
-
-        if tt == "full_a4":
-            parsed_text = layout["description"]
-            parsed_type = "a4_template"
-            # 存储布局 schema 供分层精确生成使用
-            from backend.layout_analyzer import extract_layout_schema
-            schema = extract_layout_schema(layout)
-            st.session_state.agent_state["layout_schema"] = schema
-            st.session_state.agent_state["ocr_elements"] = layout.get("rows", [])
-        elif tt == "partial_rows":
-            parsed_type = "a4_partial"
-            if current_jrxml.strip():
-                from backend.layout_analyzer import match_rows_to_jrxml
-                match = match_rows_to_jrxml(layout, current_jrxml)
-                parsed_text = (
-                    f"[行片段修改] 上传图片包含 {layout['total_rows']} 行，"
-                    f"视为 A4 报表的一部分。\n\n"
-                    f"{match['description']}\n\n"
-                    f"--- 行结构 ---\n{layout['description']}"
-                )
-            else:
-                parsed_text = layout["description"]
-        else:
-            has_ocr = result.get("method") not in ("metadata_only", None)
-            img_w, img_h = layout["image_size"]
-            ratio = layout["aspect_ratio"]
-            if has_ocr:
-                parsed_text = (
-                    f"[图片上传] 尺寸 {img_w}x{img_h}px, 比例 {ratio}。"
-                    f"未检测到 A4 报表结构，图片将被视为参考样式。\n"
-                    f"请根据用户的文字描述生成报表。"
-                )
-            else:
-                parsed_text = (
-                    f"[图片上传] 尺寸 {img_w}x{img_h}px, 比例 {ratio}。\n"
-                    f"⚠ OCR 引擎未安装，无法识别图片中的文字内容。\n"
-                    f"请严格根据用户的文字描述来推断图片中的报表需求。\n"
-                    f"（提示：如需图片文字识别，请运行 pip install paddleocr）"
-                )
-            parsed_type = "image_reference"
-
-    elif suffix in (".pdf", ".docx", ".xlsx", ".xls", ".doc"):
-        parsed_type = suffix.lstrip(".")
-
-    keep_temp = (
-        suffix in (".png", ".jpg", ".jpeg", ".bmp", ".webp")
-        and result.get("method") not in ("metadata_only", None)
-    )
-
-    return {
-        "name": uploaded_file.name,
-        "text": parsed_text,
-        "type": parsed_type,
-        "tmp_path": tmp_path if keep_temp else None,
-    }
-
-
 # ---- URL 参数 ----
 query_params = st.query_params
 url_session_id = query_params.get("session_id", "")
@@ -344,14 +267,6 @@ def run_agent(user_input: str):
    if stream_active:
        streaming_placeholder.empty()

-    # 清理已处理的临时文件
-    for p in st.session_state.get("uploaded_temp_paths", []):
-        try:
-            Path(p).unlink(missing_ok=True)
-        except Exception:
-            pass
-    st.session_state.uploaded_temp_paths = []
-
    # ---- 总结卡片 ----
    # 注：node_state 只含变更字段，用 agent_state（被所有节点就地修改）获取完整状态
    final_state = agent_state
@@ -557,62 +472,12 @@ with st.sidebar:
            run_agent("重新来，清空当前报表")
        st.rerun()

-    st.divider()
-    st.markdown("### 上传文件")
-    st.caption("支持图片 (OCR)、PDF、Word、文本文件。内容将附加到您的下一条消息中。")
-
-    if "uploaded_files" not in st.session_state:
-        st.session_state.uploaded_files = []  # [{name, text, type}]
-
-    if "uploaded_temp_paths" not in st.session_state:
-        st.session_state.uploaded_temp_paths = []  # 待清理的临时文件路径
-
-    uploaded = st.file_uploader(
-        "选择文件",
-        type=["png", "jpg", "jpeg", "bmp", "webp", "pdf", "docx", "xlsx", "xls", "doc",
-              "txt", "csv", "json", "xml"],
-        accept_multiple_files=True,
-        key="file_uploader",
-        label_visibility="collapsed",
-    )
-
-    if uploaded:
-        for uf in uploaded:
-            # 去重
-            if any(f["name"] == uf.name for f in st.session_state.uploaded_files):
-                continue
-
-            suffix = Path(uf.name).suffix.lower()
-            result = _process_uploaded_file(uf, suffix)
-
-            if result["text"]:
-                st.session_state.uploaded_files.append({
-                    "name": result["name"],
-                    "text": result["text"],
-                    "type": result["type"],
-                })
-
-            tmp_path = result["tmp_path"]
-            if tmp_path:
-                st.session_state.agent_state["uploaded_file_path"] = tmp_path
-                st.session_state.uploaded_temp_paths.append(tmp_path)
-
-    if st.session_state.uploaded_files:
-        for i, f in enumerate(st.session_state.uploaded_files):
-            cols = st.columns([5, 1])
-            with cols[0]:
-                st.caption(f"📎 {f['name']} ({f['type']}, {len(f['text'])} 字符)")
-            with cols[1]:
-                if st.button("✕", key=f"rm_uf_{i}", help="移除"):
-                    st.session_state.uploaded_files.pop(i)
-                    st.rerun()
-
    st.divider()
    st.markdown("### 配置")
    llm_backend = os.getenv("LLM_BACKEND", "cloud")
    llm_model = os.getenv("LLM_MODEL", os.getenv("LOCAL_LLM_MODEL", "gpt-4o"))
    st.caption(f"大语言模型: {llm_backend} / {llm_model}")
-    st.caption(f"最大重试次数: {os.getenv('MAX_RETRY', '3')}")
+    st.caption(f"最大重试次数: {os.getenv('MAX_RETRY', '5')}")
    st.caption(f"验证服务: {os.getenv('VALIDATION_SERVICE_URL', 'http://localhost:8001/validate')}")

    st.divider()
@@ -666,106 +531,396 @@ for msg in st.session_state.messages:
        else:
            st.markdown(msg["content"])

-# ---- 聊天输入（支持粘贴/拖拽文件） ----
-from st_multimodal_chatinput import multimodal_chatinput
-import base64
-import io
-from pathlib import Path as _Path
+# ---- 统一聊天输入组件 ----
+UNIFIED_CHAT_HTML = r"""
+<!DOCTYPE html>
+<html lang="zh-CN">
+<head>
+<meta charset="utf-8">
+<style>
+  * { box-sizing: border-box; margin: 0; padding: 0; }
+  body {
+    font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, sans-serif;
+    background: transparent;
+    padding: 4px 0;
+  }
+  .chat-container {
+    position: relative;
+    border: 1px solid #d1d5db;
+    border-radius: 12px;
+    padding: 8px 12px;
+    background: #ffffff;
+    transition: border-color 0.2s, box-shadow 0.2s;
+  }
+  .chat-container:focus-within {
+    border-color: #3b82f6;
+    box-shadow: 0 0 0 2px rgba(59,130,246,0.15);
+  }
+  .chat-container.drag-active {
+    border-color: #3b82f6;
+    background: rgba(59,130,246,0.04);
+  }
+  .file-chips {
+    display: flex;
+    flex-wrap: wrap;
+    gap: 6px;
+    margin-bottom: 6px;
+  }
+  .file-chips:empty { display: none; }
+  .file-chip {
+    display: inline-flex;
+    align-items: center;
+    gap: 4px;
+    padding: 2px 8px;
+    background: #f3f4f6;
+    border-radius: 14px;
+    font-size: 12px;
+    color: #374151;
+    max-width: 200px;
+  }
+  .file-chip .chip-icon { font-size: 13px; }
+  .file-chip .chip-name {
+    overflow: hidden;
+    text-overflow: ellipsis;
+    white-space: nowrap;
+  }
+  .file-chip .chip-remove {
+    border: none;
+    background: none;
+    cursor: pointer;
+    color: #9ca3af;
+    font-size: 14px;
+    line-height: 1;
+    padding: 0 2px;
+    flex-shrink: 0;
+  }
+  .file-chip .chip-remove:hover { color: #ef4444; }
+  .input-row {
+    display: flex;
+    align-items: flex-end;
+    gap: 8px;
+  }
+  .attach-btn {
+    border: none;
+    background: none;
+    cursor: pointer;
+    padding: 4px 6px;
+    font-size: 20px;
+    line-height: 1;
+    color: #6b7280;
+    border-radius: 6px;
+    transition: background 0.15s, color 0.15s;
+    flex-shrink: 0;
+  }
+  .attach-btn:hover { background: #f3f4f6; color: #374151; }
+  textarea {
+    flex: 1;
+    border: none;
+    outline: none;
+    resize: none;
+    font-size: 15px;
+    line-height: 1.5;
+    font-family: inherit;
+    color: #111827;
+    background: transparent;
+    padding: 4px 0;
+    min-height: 24px;
+    max-height: 120px;
+    overflow-y: auto;
+  }
+  textarea::placeholder { color: #9ca3af; }
+  .send-btn {
+    border: none;
+    cursor: pointer;
+    padding: 4px 10px;
+    font-size: 16px;
+    background: #e5e7eb;
+    color: #9ca3af;
+    border-radius: 8px;
+    transition: all 0.15s;
+    flex-shrink: 0;
+  }
+  .send-btn.active { background: #3b82f6; color: #fff; }
+  .send-btn.active:hover { background: #2563eb; }
+  .send-btn:disabled { opacity: 0.5; cursor: default; }
+  .error-toast {
+    position: fixed;
+    bottom: 12px;
+    left: 50%;
+    transform: translateX(-50%);
+    background: #ef4444;
+    color: #fff;
+    padding: 6px 16px;
+    border-radius: 8px;
+    font-size: 13px;
+    z-index: 9999;
+    animation: toastOut 2.5s forwards;
+    pointer-events: none;
+  }
+  @keyframes toastOut {
+    0%, 70% { opacity: 1; }
+    100% { opacity: 0; }
+  }

-# MIME type → 文件扩展名映射（用于剪贴板粘贴无扩展名的文件）
-MIME_TO_EXT = {
-    "image/png": ".png",
-    "image/jpeg": ".jpg",
-    "image/bmp": ".bmp",
-    "image/webp": ".webp",
-    "application/pdf": ".pdf",
-    "application/vnd.openxmlformats-officedocument.wordprocessingml.document": ".docx",
-    "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet": ".xlsx",
-    "application/vnd.ms-excel": ".xls",
-    "application/msword": ".doc",
-    "text/plain": ".txt",
-    "text/csv": ".csv",
-    "application/json": ".json",
-    "text/xml": ".xml",
-}
+  @media (prefers-color-scheme: dark) {
+    .chat-container { background: #1f2937; border-color: #374151; }
+    .chat-container:focus-within { border-color: #3b82f6; }
+    .file-chip { background: #374151; color: #e5e7eb; }
+    .file-chip .chip-remove { color: #6b7280; }
+    .attach-btn { color: #9ca3af; }
+    .attach-btn:hover { background: #374151; color: #e5e7eb; }
+    textarea { color: #f9fafb; }
+    textarea::placeholder { color: #6b7280; }
+    .send-btn { background: #374151; }
+  }
+</style>
+</head>
+<body>
+<div class="chat-container" id="container">
+  <div class="file-chips" id="chips"></div>
+  <div class="input-row">
+    <button class="attach-btn" id="attachBtn" title="附加文件">&#x1F4CE;</button>
+    <textarea id="textInput" placeholder="描述您的报表需求..." rows="1"></textarea>
+    <button class="send-btn" id="sendBtn" title="发送">&#x27A4;</button>
+  </div>
+  <input type="file" id="fileInput" multiple hidden
+    accept=".png,.jpg,.jpeg,.bmp,.webp,.pdf,.docx,.xlsx,.xls,.doc,.txt">
+</div>
+<script>
+  const container = document.getElementById('container');
+  const chipsEl = document.getElementById('chips');
+  const textInput = document.getElementById('textInput');
+  const sendBtn = document.getElementById('sendBtn');
+  const attachBtn = document.getElementById('attachBtn');
+  const fileInput = document.getElementById('fileInput');

-chat_result = multimodal_chatinput()
-if chat_result:
-    prompt = (chat_result.get("textInput") or "").strip()
-    chat_files = chat_result.get("uploadedFiles") or []
+  let attachedFiles = [];
+  const MAX_FILES = 10;
+  const MAX_SIZE = 20 * 1024 * 1024;

-    # 处理聊天中上传/粘贴的文件
-    uploaded_texts = []
-    uploaded_files_info = []
+  function getIcon(type) {
+    if (type.startsWith('image/')) return '🖼';
+    if (type.includes('pdf')) return '📄';
+    if (type.includes('document')) return '📝';
+    if (type.includes('spreadsheet') || type.includes('excel')) return '📊';
+    return '📎';
+  }

-    # 先收集侧边栏已上传的文件
-    if st.session_state.get("uploaded_files"):
-        for f in st.session_state.uploaded_files:
-            uploaded_texts.append(f"[上传文件: {f['name']}]\n{f['text']}")
-            uploaded_files_info.append({"name": f["name"], "type": f["type"], "length": len(f["text"])})
-        st.session_state.uploaded_files = []
+  function updateSendBtn() {
+    var canSend = textInput.value.trim() || attachedFiles.length > 0;
+    sendBtn.classList.toggle('active', canSend);
+  }

-    # 处理聊天中的文件
-    class _Base64File:
-        """包装 base64 文件为类 UploadedFile 接口。"""
-        def __init__(self, name, data_bytes):
-            self.name = name
-            self._data = data_bytes
+  function renderChips() {
+    chipsEl.innerHTML = '';
+    attachedFiles.forEach(function(f, i) {
+      var chip = document.createElement('span');
+      chip.className = 'file-chip';
+      var name = f.name.length > 16 ? f.name.slice(0,14)+'..' : f.name;
+      chip.innerHTML = '<span class="chip-icon">'+getIcon(f.type)+'</span>' +
+        '<span class="chip-name">'+name+'</span>' +
+        '<button class="chip-remove">&times;</button>';
+      chip.querySelector('.chip-remove').onclick = (function(idx) {
+        return function() {
+          attachedFiles.splice(idx, 1);
+          renderChips();
+          updateSendBtn();
+        };
+      })(i);
+      chipsEl.appendChild(chip);
+    });
+    updateSendBtn();
+  }

-        def getvalue(self):
-            return self._data
+  function addFiles(fileList) {
+    for (var i = 0; i < fileList.length; i++) {
+      var file = fileList[i];
+      if (attachedFiles.length >= MAX_FILES) { showToast('最多附加 '+MAX_FILES+' 个文件'); break; }
+      if (file.size > MAX_SIZE) { showToast(file.name+' 超过 20MB 限制'); continue; }
+      if (attachedFiles.some(function(f) { return f.name === file.name && f.size === file.size; })) continue;
+      attachedFiles.push({name: file.name, type: file.type, file: file});
+    }
+    renderChips();
+  }

-    for cf in chat_files:
-        name = cf.get("name", "clipboard_file")
-        mime = cf.get("type", "")
-        content_b64 = cf.get("content", "")
-        if not content_b64:
-            continue
+  function showToast(msg) {
+    var t = document.createElement('div');
+    t.className = 'error-toast';
+    t.textContent = msg;
+    document.body.appendChild(t);
+    setTimeout(function() { t.remove(); }, 2600);
+  }
+
+  function readFile(file) {
+    return new Promise(function(resolve, reject) {
+      var reader = new FileReader();
+      reader.onload = function() { resolve(reader.result); };
+      reader.onerror = reject;
+      reader.readAsDataURL(file);
+    });
+  }
+
+  async function handleSend() {
+    var text = textInput.value.trim();
+    if (!text && attachedFiles.length === 0) return;
+
+    sendBtn.disabled = true;
+    var files = [];
+    for (var i = 0; i < attachedFiles.length; i++) {
+      var f = attachedFiles[i];
+      try {
+        var dataUrl = await readFile(f.file);
+        files.push({name: f.name, type: f.type, data: dataUrl, size: f.file.size});
+      } catch(e) {
+        showToast(f.name+' 读取失败');
+      }
+    }
+
+    Streamlit.setComponentValue({text: text, files: files});
+
+    textInput.value = '';
+    attachedFiles = [];
+    renderChips();
+    sendBtn.disabled = false;
+    textInput.style.height = 'auto';
+  }
+
+  attachBtn.onclick = function() { fileInput.click(); };
+  fileInput.onchange = function() { addFiles(fileInput.files); fileInput.value = ''; };
+
+  textInput.oninput = function() {
+    updateSendBtn();
+    textInput.style.height = 'auto';
+    textInput.style.height = Math.min(textInput.scrollHeight, 120) + 'px';
+  };
+
+  textInput.onkeydown = function(e) {
+    if (e.key === 'Enter' && !e.shiftKey) {
+      e.preventDefault();
+      handleSend();
+    }
+  };
+
+  sendBtn.onclick = handleSend;
+
+  document.addEventListener('paste', function(e) {
+    var items = e.clipboardData && e.clipboardData.items;
+    if (!items) return;
+    var files = [];
+    for (var i = 0; i < items.length; i++) {
+      if (items[i].kind === 'file') files.push(items[i].getAsFile());
+    }
+    if (files.length) { e.preventDefault(); addFiles(files); }
+  });
+
+  var containerDiv = document.getElementById('container');
+  containerDiv.addEventListener('dragover', function(e) {
+    e.preventDefault();
+    containerDiv.classList.add('drag-active');
+  });
+  containerDiv.addEventListener('dragleave', function() {
+    containerDiv.classList.remove('drag-active');
+  });
+  containerDiv.addEventListener('drop', function(e) {
+    e.preventDefault();
+    containerDiv.classList.remove('drag-active');
+    addFiles(e.dataTransfer.files);
+  });
+
+  updateSendBtn();
+</script>
+</body>
+</html>
+"""
+
+chat_result = components.html(UNIFIED_CHAT_HTML, height=180)
+
+if chat_result and isinstance(chat_result, dict):
+    prompt = chat_result.get("text", "")
+    files = chat_result.get("files", [])
+
+    from backend.file_parser import parse_file
+    from backend.layout_analyzer import analyze_layout, extract_layout_schema
+
+    file_texts = []
+    attached_info = []
+    first_image_path = None
+    temp_paths = []
+
+    for f in files:
+        header, b64data = f.get("data", ",").split(",", 1)
+        raw = base64.b64decode(b64data)
+
+        mime = f.get("type", "")
+        mime_to_suffix = {
+            "image/png": ".png", "image/jpeg": ".jpg", "image/bmp": ".bmp",
+            "image/webp": ".webp", "application/pdf": ".pdf",
+            "application/vnd.openxmlformats-officedocument.wordprocessingml.document": ".docx",
+            "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet": ".xlsx",
+            "application/vnd.ms-excel": ".xls", "application/msword": ".doc",
+            "text/plain": ".txt",
+        }
+        suffix = mime_to_suffix.get(mime, Path(f["name"]).suffix.lower())
+
+        with tempfile.NamedTemporaryFile(suffix=suffix, delete=False) as tmp:
+            tmp.write(raw)
+            tmp_path = tmp.name
+        temp_paths.append(tmp_path)
+
+        result = parse_file(tmp_path, suffix)
+        text = result["text"]
+        file_type = result["file_type"]
+
+        img_suffixes = (".png", ".jpg", ".jpeg", ".bmp", ".webp")
+        if suffix in img_suffixes and result.get("method") not in ("metadata_only", None):
+            try:
+                layout = analyze_layout(tmp_path)
+                tt = layout.get("template_type", "unknown")
+                if tt == "full_a4":
+                    text = layout["description"]
+                    file_type = "a4_template"
+                    schema = extract_layout_schema(layout)
+                    st.session_state.agent_state["layout_schema"] = schema
+                    st.session_state.agent_state["ocr_elements"] = layout.get("rows", [])
+                elif tt == "partial_rows":
+                    file_type = "a4_partial"
+            except Exception:
+                pass
+
+        file_texts.append(f"[附加文件: {f['name']} ({file_type})]\n{text}")
+        attached_info.append({"name": f["name"], "type": file_type, "length": len(text)})
+
+        if not first_image_path and file_type in ("image", "a4_template", "a4_partial"):
+            first_image_path = tmp_path
+
+    if file_texts:
+        full_prompt = "\n\n".join(file_texts) + "\n\n---\n用户需求:\n" + prompt
+    else:
+        full_prompt = prompt
+
+    if first_image_path:
+        st.session_state.agent_state["uploaded_file_path"] = first_image_path
+
+    _app_log.info(
+        "收到用户输入",
+        extra={
+            "session_id": current_session_id,
+            "prompt_preview": prompt[:200],
+            "prompt_length": len(prompt),
+            "has_uploaded_files": bool(attached_info),
+            "uploaded_files": attached_info,
+        },
+    )
+
+    st.session_state.messages.append({"role": "user", "content": prompt})
+    with st.chat_message("user"):
+        st.markdown(prompt)
+    run_agent(full_prompt)
+
+    for p in temp_paths:
        try:
-            data = base64.b64decode(content_b64)
+            Path(p).unlink(missing_ok=True)
        except Exception:
-            continue
+            pass

-        suffix = _Path(name).suffix.lower()
-        if not suffix and mime in MIME_TO_EXT:
-            suffix = MIME_TO_EXT[mime]
-            name = f"{_Path(name).stem}{suffix}"
-
-        wrapper = _Base64File(name, data)
-        result = _process_uploaded_file(wrapper, suffix)
-
-        if result["text"]:
-            uploaded_texts.append(f"[上传文件: {result['name']}]\n{result['text']}")
-            uploaded_files_info.append({"name": result["name"], "type": result["type"], "length": len(result["text"])})
-
-        tmp_path = result["tmp_path"]
-        if tmp_path:
-            st.session_state.agent_state["uploaded_file_path"] = tmp_path
-            st.session_state.uploaded_temp_paths.append(tmp_path)
-
-    if prompt or uploaded_texts:
-        if uploaded_texts:
-            full_prompt = "\n\n".join(uploaded_texts)
-            if prompt:
-                full_prompt += "\n\n---\n用户需求:\n" + prompt
-        else:
-            full_prompt = prompt
-
-        displayed_prompt = prompt or "(已上传文件，未输入文字)"
-
-        _app_log.info(
-            "收到用户输入",
-            extra={
-                "session_id": current_session_id,
-                "prompt_preview": displayed_prompt[:200],
-                "prompt_length": len(full_prompt),
-                "has_uploaded_files": bool(uploaded_files_info),
-                "uploaded_files": uploaded_files_info,
-            },
-        )
-
-        st.session_state.messages.append({"role": "user", "content": displayed_prompt})
-        with st.chat_message("user"):
-            st.markdown(displayed_prompt)
-        run_agent(full_prompt)
-        st.rerun()
+    st.rerun()
@@ -0,0 +1,201 @@
+"""
+JRXML 元素自动排序 — 按 JasperReports XSD <xs:sequence> 要求重排子元素。
+
+XSD 要求 jasperReport 子元素严格按以下顺序：
+property, propertyExpression, import, template, reportFont,
+style, subDataset, scriptlet, parameter, queryString, field,
+sortField, variable, filterExpression, group, background, title,
+pageHeader, columnHeader, detail, columnFooter, pageFooter,
+lastPageFooter, summary, noData
+
+以及 band 内部的 reportElement 必须在其他元素之前。
+"""
+import re
+import xml.etree.ElementTree as ET
+from typing import Optional
+
+# JasperReports XSD sequence 顺序（索引越小越靠前）
+JASPERREPORT_ORDER = {
+    "property": 0,
+    "propertyExpression": 1,
+    "import": 2,
+    "template": 3,
+    "reportFont": 4,
+    "style": 5,
+    "subDataset": 6,
+    "scriptlet": 7,
+    "parameter": 8,
+    "queryString": 9,
+    "field": 10,
+    "sortField": 11,
+    "variable": 12,
+    "filterExpression": 13,
+    "group": 14,
+    "background": 15,
+    "title": 16,
+    "pageHeader": 17,
+    "columnHeader": 18,
+    "detail": 19,
+    "columnFooter": 20,
+    "pageFooter": 21,
+    "lastPageFooter": 22,
+    "summary": 23,
+    "noData": 24,
+}
+
+# 带命名空间的标签映射（去掉 ns 前缀后匹配）
+NS = "http://jasperreports.sourceforge.net/jasperreports"
+
+
+def _tag_local(tag: str) -> str:
+    """提取标签本地名（去掉命名空间前缀）。"""
+    return tag.split("}")[-1] if "}" in tag else tag
+
+
+def _sort_key(elem: ET.Element) -> int:
+    """排序键：按 JASPERREPORT_ORDER 中的顺序，未知元素放最后。"""
+    local = _tag_local(elem.tag)
+    return JASPERREPORT_ORDER.get(local, 999)
+
+
+def reorder_jrxml_elements(xml_string: str) -> str:
+    """重排 JRXML 字符串中的子元素顺序，使其符合 XSD sequence 要求。
+
+    处理范围：
+    - jasperReport 的直接子元素
+    - band 的直接子元素（reportElement 在前）
+
+    返回重排后的 XML 字符串。如果解析失败，返回原始字符串。
+    """
+    try:
+        root = ET.fromstring(xml_string)
+    except ET.ParseError:
+        return xml_string  # 无法解析，返回原始
+
+    _reorder_children(root)
+    _reorder_bands(root)
+
+    # 序列化回字符串
+    result = ET.tostring(root, encoding="unicode")
+
+    # 恢复 XML 声明、CDATA、命名空间
+    result = _restore_formatting(xml_string, result)
+    return result
+
+
+def _reorder_children(parent: ET.Element):
+    """递归重排所有子元素。"""
+    children = list(parent)
+    if not children:
+        return
+
+    # 按 XSD 顺序排序
+    children.sort(key=_sort_key)
+
+    # 重建子元素列表
+    for i, child in enumerate(children):
+        # ET 不支持直接 reorder，用 remove + insert
+        pass
+
+    # 实际上 ElementTree 不支持直接重排，需要重建
+    # 我们用更可靠的方式：收集所有子元素，清空，再按顺序添加
+    sorted_children = sorted(list(parent), key=_sort_key)
+
+    # 移除所有子元素
+    for child in list(parent):
+        parent.remove(child)
+
+    # 按排序后的顺序重新添加（保持 tail 文本在最后）
+    tail_text = ""
+    for child in sorted_children:
+        tail_text = child.tail or ""
+        child.tail = ""
+        parent.append(child)
+
+    # 恢复最后一个元素的 tail
+    if sorted_children and tail_text:
+        sorted_children[-1].tail = tail_text
+
+    # 递归处理子元素
+    for child in parent:
+        _reorder_children(child)
+
+
+def _reorder_bands(root: ET.Element):
+    """确保 band 内部 reportElement 在其他元素之前。"""
+    for elem in root.iter():
+        if _tag_local(elem.tag) == "band":
+            _ensure_reportelement_first(elem)
+
+
+def _ensure_reportelement_first(band: ET.Element):
+    """在 band 内部，确保 reportElement 元素排在最前面。"""
+    children = list(band)
+    report_elements = [c for c in children if _tag_local(c.tag) == "reportElement"]
+    other_elements = [c for c in children if _tag_local(c.tag) != "reportElement"]
+
+    if not report_elements:
+        return
+
+    # 移除所有
+    for c in list(band):
+        band.remove(c)
+
+    # 先添加 reportElement
+    tail = ""
+    for r in report_elements:
+        r.tail = ""
+        band.append(r)
+    # 再添加其他
+    for o in other_elements:
+        o.tail = ""
+        band.append(o)
+    # 恢复 tail
+    last = band[-1] if list(band) else None
+    if last and children:
+        last.tail = children[-1].tail or ""
+
+
+def _restore_formatting(original: str, reordered: str) -> str:
+    """恢复 XML 声明和 CDATA 段。"""
+    # 保留原始声明
+    decl = ""
+    if original.strip().startswith("<?xml"):
+        m = re.match(r'<\?xml[^?]*\?>', original)
+        if m:
+            decl = m.group()
+    if decl and not reordered.strip().startswith("<?xml"):
+        reordered = decl + "\n" + reordered
+
+    # 恢复 CDATA（ET 会把 CDATA 转成普通文本）
+    # 从原始 XML 提取所有 CDATA 块
+    cdata_pattern = re.compile(r'<!\[CDATA\[(.*?)\]\]>', re.DOTALL)
+    cdata_blocks = cdata_pattern.findall(original)
+
+    if cdata_blocks:
+        # 在重排后的 XML 中，对应位置的文本用 CDATA 包裹
+        def _restore_cdata(match):
+            nonlocal cdata_blocks
+            text = match.group(1)
+            for cdata in cdata_blocks:
+                if cdata.strip() == text.strip():
+                    return f"<![CDATA[{cdata}]]>"
+            return match.group(0)
+
+        # 替换已转义的文本为 CDATA
+        reordered = re.sub(
+            r'(<queryString[^>]*>)\s*(.*?)\s*(</queryString>)',
+            lambda m: m.group(1) + f"\n        <![CDATA[{m.group(2).strip()}]]>\n    " + m.group(3),
+            reordered,
+            flags=re.DOTALL
+        )
+
+    return reordered
+
+
+def normalize_jrxml(jrxml_text: str) -> str:
+    """规范化 JRXML：排序元素 + 恢复格式。"""
+    if not jrxml_text or not jrxml_text.strip():
+        return jrxml_text
+    result = reorder_jrxml_elements(jrxml_text)
+    return result
@@ -179,7 +179,8 @@ def _build_raw_llm(caller: str = "") -> tuple[_BaseLLM, str, str]:
                    messages=[{"role": "user", "content": [{"type": "text", "text": prompt}]}],
                )
                for block in resp.content:
-                    if block.type == "text":
+                    block_type = getattr(block, "type", "")
+                    if block_type == "text":
                        return type("Response", (), {"content": block.text})()
                return type("Response", (), {"content": ""})()

@@ -90,6 +90,8 @@ def save_session(session_id: str, agent_state: dict, session_name: str = ""):
    )
    try:
        json.dump(data, tmp, ensure_ascii=False, indent=2)
+        tmp.flush()
+        os.fsync(tmp.fileno())
        tmp.close()
        os.replace(tmp.name, str(fp))
    except Exception:
@@ -7,7 +7,7 @@ from dotenv import load_dotenv

 from backend.logger import get_logger

-load_dotenv()
+load_dotenv(override=True)

 _val_log = get_logger("validation")

@@ -0,0 +1,114 @@
+"""
+JRXML Agent E2E test — Playwright automation.
+Tests: page load, upload image, send message, wait for response.
+Usage: python test_e2e.py
+Prerequisites: Servers must be running (start.bat or with_server.py)
+"""
+import os, sys, time, base64, tempfile
+from playwright.sync_api import sync_playwright
+
+FRONTEND = "http://localhost:5173"
+API = "http://localhost:8000"
+TEST_IMAGE = r"D:\Idea Project\agent_jrxml\test_invoice_e2e.png"
+
+def run():
+    with sync_playwright() as p:
+        browser = p.chromium.launch(headless=True)
+        page = browser.new_page(viewport={"width": 1280, "height": 900})
+
+        # Capture console errors
+        errors = []
+        page.on("console", lambda msg: errors.append(msg.text) if msg.type == "error" else None)
+
+        # 1. Navigate and wait
+        print("[1] Loading frontend...")
+        page.goto(FRONTEND, timeout=15000)
+        page.wait_for_load_state("networkidle")
+        page.wait_for_timeout(1000)
+
+        # Screenshot initial state
+        page.screenshot(path=r"D:\Idea Project\agent_jrxml\e2e_01_initial.png", full_page=True)
+        print("    Screenshot: e2e_01_initial.png")
+
+        # Verify sidebar loads
+        sidebar = page.locator(".sidebar")
+        assert sidebar.is_visible(), "Sidebar not visible"
+        print("    OK: Sidebar visible")
+
+        # 2. Create new session (click +)
+        print("[2] Creating new session...")
+        page.locator(".btn-icon").click()
+        page.wait_for_timeout(500)
+        page.screenshot(path=r"D:\Idea Project\agent_jrxml\e2e_02_session.png")
+        print("    OK: New session created")
+
+        # 3. Upload test image
+        print("[3] Uploading test image...")
+        upload_input = page.locator('input[type="file"]')
+        upload_input.set_input_files(TEST_IMAGE)
+        page.wait_for_timeout(500)
+        # Verify file chip appears
+        chip = page.locator(".chip").first
+        assert chip.is_visible(), "File chip not visible after upload"
+        print(f"    OK: File chip visible — {chip.inner_text()}")
+
+        # 4. Type message and send
+        print('[4] Sending message...')
+        textarea = page.locator("textarea").first
+        textarea.fill("根据这张图片生成车历卡报表模板")
+        page.wait_for_timeout(200)
+        page.screenshot(path=r"D:\Idea Project\agent_jrxml\e2e_03_input.png")
+
+        # Click send button or press Enter
+        page.locator('button[type="submit"]').click()
+        print("    Sent!")
+
+        # 5. Wait for streaming response
+        print("[5] Waiting for AI response...")
+        try:
+            # Wait up to 3 minutes for a success or error message
+            page.wait_for_selector('.message.assistant', timeout=180000)
+            page.wait_for_timeout(2000)
+            page.screenshot(path=r"D:\Idea Project\agent_jrxml\e2e_04_response.png", full_page=True)
+            
+            # Check for success/error
+            messages = page.locator('.message.assistant').all()
+            for m in messages:
+                text = m.inner_text()
+                if "成功" in text:
+                    print(f"    ✅ SUCCESS: {text[:100]}")
+                elif "失败" in text or "错误" in text:
+                    print(f"    ❌ ERROR: {text[:100]}")
+                elif "JRXML" in text:
+                    print(f"    📄 JRXML generated ({len(text)} chars)")
+        except Exception as e:
+            page.screenshot(path=r"D:\Idea Project\agent_jrxml\e2e_04_timeout.png", full_page=True)
+            print(f"    ⚠️  Timeout waiting for response: {e}")
+
+        # 6. Check download button
+        print("[6] Checking download button...")
+        download_btn = page.locator(".btn-download").first
+        if download_btn.is_visible():
+            text = download_btn.inner_text()
+            print(f"    Download button: '{text}'")
+            if "暂无" not in text:
+                print("    ✅ Download link available!")
+            else:
+                print("    ⚠️  Download shows '暂无下载文件'")
+        else:
+            print("    ⚠️  Download button not found")
+
+        # Console errors
+        if errors:
+            print(f"\n[!] Console errors ({len(errors)}):")
+            for e in errors[:5]:
+                print(f"    {e[:200]}")
+        else:
+            print("\n    ✅ No console errors")
+
+        print("\n=== E2E test complete ===")
+        browser.close()
+
+if __name__ == "__main__":
+    os.makedirs(r"D:\Idea Project\agent_jrxml", exist_ok=True)
+    run()
@@ -33,8 +33,6 @@ openpyxl>=3.1.0
 paddleocr>=2.9.0,<3.0.0
 paddlepaddle>=2.6.0,<3.0.0
 easyocr>=1.7.0
-# 聊天输入增强（粘贴/拖拽上传）
-st-multimodal-chatinput>=0.2.1

 # 多格式文件解析
 openpyxl>=3.1.0
@@ -1,53 +1,47 @@
@echo off
 setlocal enabledelayedexpansion
+echo ================================================
+echo   agent_jrxml 启动 (API + 验证)
+echo ================================================
+cd /d "%~dp0"

-echo ============================================
-echo   JRXML Agent - One-Click Start
-echo ============================================
-echo.
-
-REM ========== Kill processes on ports ==========
-echo [Pre-check] Cleaning up occupied ports...
-for /f "tokens=5" %%a in ('netstat -ano ^| findstr ":8001.*LISTENING" 2^>nul') do (
-    echo   Killing PID %%a on port 8001...
-    taskkill /PID %%a /F 2>nul
+:: 清理残留进程
+echo [清理] 检查残留进程...
+for /f "tokens=5" %%a in ('netstat -ano ^| findstr ":8000.*LISTENING"') do (
+    taskkill /F /PID %%a >nul 2>&1 && echo   已清理 PID %%a
 )
-for /f "tokens=5" %%a in ('netstat -ano ^| findstr ":8000.*LISTENING" 2^>nul') do (
-    echo   Killing PID %%a on port 8000...
-    taskkill /PID %%a /F 2>nul
-)
-for /f "tokens=5" %%a in ('netstat -ano ^| findstr ":5173.*LISTENING" 2^>nul') do (
-    echo   Killing PID %%a on port 5173...
-    taskkill /PID %%a /F 2>nul
+for /f "tokens=5" %%a in ('netstat -ano ^| findstr ":8001.*LISTENING"') do (
+    taskkill /F /PID %%a >nul 2>&1 && echo   已清理 PID %%a
 )
 echo.

-REM ========== Detect Python ==========
-set PYTHON=python
-if exist "%~dp0.venv\Scripts\python.exe" set "PYTHON=%~dp0.venv\Scripts\python.exe"
-echo Using Python: %PYTHON%
+:: 启动验证服务 (后台最小化)
+echo [启动] 验证服务 :8001
+start "jrxml-validator" /MIN .venv\Scripts\python.exe -c "import uvicorn; uvicorn.run('validation_service.main:app',host='0.0.0.0',port=8001,reload=False)"
+
+:: 等待验证服务就绪 (用 PowerShell 检测)
+echo [等待] 验证服务就绪...
+:wait_val
+ping -n 2 127.0.0.1 >nul
+powershell -Command "try{$r=Invoke-WebRequest -Uri http://localhost:8001/health -TimeoutSec 2 -UseBasicParsing;exit 0}catch{exit 1}" >nul 2>&1
+if errorlevel 1 goto wait_val
+echo    :8001 就绪
+
+:: 启动 API 服务 (前台，Ctrl+C 退出)
+echo [启动] API 服务 :8000
+echo ================================================
+echo   服务已就绪:
+echo     API:    http://localhost:8000/docs
+echo     验证:   http://localhost:8001/health
+echo   按 Ctrl+C 停止 API 服务
+echo   关闭窗口后会自动清理验证服务
+echo ================================================
+.venv\Scripts\python.exe -c "import uvicorn; uvicorn.run('api_server:app',host='0.0.0.0',port=8000,reload=False)"
+
+:: API 进程退出后自动清理
 echo.
-
-REM ========== Start services ==========
-echo [1/3] Starting validation service on port 8001...
-start "JRXML-Validator" cmd /k cd /d "%~dp0" ^&^& "%PYTHON%" -m uvicorn validation_service.main:app --port 8001 --host 0.0.0.0
-timeout /t 3 /nobreak >nul
-
-echo [2/3] Starting backend API on port 8000...
-start "JRXML-API" cmd /k cd /d "%~dp0" ^&^& "%PYTHON%" -m uvicorn api_server:app --port 8000 --host 0.0.0.0
-timeout /t 3 /nobreak >nul
-
-echo [3/3] Starting frontend dev server on port 5173...
-start "JRXML-Frontend" cmd /k cd /d "%~dp0frontend" ^&^& npm run dev
-timeout /t 3 /nobreak >nul
-
-echo.
-echo ============================================
-echo   All services started!
-echo   Frontend  : http://localhost:5173
-echo   Backend   : http://localhost:8000
-echo   Validator : http://localhost:8001
-echo ============================================
-echo.
-echo Close the service windows or run stop.bat to stop.
+echo [清理] 停止验证服务...
+taskkill /F /FI "WINDOWTITLE eq jrxml-validator*" >nul 2>&1
+for /f "tokens=5" %%a in ('netstat -ano ^| findstr ":8001.*LISTENING"') do taskkill /F /PID %%a >nul 2>&1
+echo 已停止所有服务
 pause
@@ -0,0 +1,144 @@
+"""
+agent_jrxml 统一启动/停止脚本
+用法: python start.py [--frontend]
+"""
+import subprocess
+import sys
+import time
+import signal
+import os
+import socket
+
+PROCESSES = []
+
+def kill_port(port):
+    """杀掉占用指定端口的所有进程"""
+    killed = []
+    try:
+        result = subprocess.run(
+            ['netstat', '-ano'], capture_output=True, text=True, timeout=10
+        )
+        for line in result.stdout.splitlines():
+            if f':{port}' in line and 'LISTENING' in line:
+                parts = line.strip().split()
+                pid = parts[-1]
+                try:
+                    subprocess.run(['taskkill', '/F', '/PID', pid], 
+                                   capture_output=True, timeout=5)
+                    killed.append(pid)
+                except:
+                    pass
+    except:
+        pass
+    if killed:
+        print(f"[清理] 端口 {port} 已清理 {len(killed)} 个进程: {', '.join(killed)}")
+    return len(killed)
+
+
+def wait_port(port, timeout=30):
+    """等待端口就绪"""
+    for i in range(timeout * 2):
+        try:
+            s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
+            s.settimeout(1)
+            s.connect(('127.0.0.1', port))
+            s.close()
+            return True
+        except:
+            time.sleep(0.5)
+    return False
+
+
+def start(port, module, cwd=None):
+    """启动一个 uvicorn 服务"""
+    cmd = [
+        sys.executable, '-c',
+        f"import uvicorn; uvicorn.run('{module}', host='0.0.0.0', port={port}, reload=False)"
+    ]
+    proc = subprocess.Popen(cmd, cwd=cwd)
+    PROCESSES.append((port, proc))
+    print(f"[启动] {module} -> :{port} (PID: {proc.pid})")
+    return proc
+
+
+def cleanup():
+    """清理所有子进程"""
+    print("\n[清理] 正在停止所有服务...")
+    for port, proc in PROCESSES:
+        try:
+            proc.terminate()
+        except:
+            pass
+    time.sleep(2)
+    for port, proc in PROCESSES:
+        try:
+            proc.kill()
+        except:
+            pass
+        kill_port(port)
+    print("[清理] 完成")
+
+
+def main():
+    frontend = '--frontend' in sys.argv
+
+    # 1. 清理残留进程
+    print("=" * 50)
+    print("agent_jrxml 启动脚本")
+    print("=" * 50)
+    kill_port(8000)
+    kill_port(8001)
+    if frontend:
+        kill_port(5173)
+
+    # 2. 启动服务（基于脚本所在目录自动定位项目）
+    project = os.path.dirname(os.path.abspath(__file__))
+    start(8000, 'api_server:app', cwd=project)
+    start(8001, 'validation_service.main:app', cwd=project)
+    
+    if frontend:
+        # 前端用 npm 启动
+        frontend_dir = os.path.join(project, 'frontend')
+        proc = subprocess.Popen(
+            ['npm', 'run', 'dev'], cwd=frontend_dir,
+            shell=True
+        )
+        PROCESSES.append((5173, proc))
+        print(f"[启动] frontend (Vite) -> :5173")
+
+    # 3. 等待就绪
+    print("\n[等待] 等待服务就绪...")
+    ok = True
+    for port, _ in PROCESSES:
+        if wait_port(port):
+            print(f"  :{port} ✓")
+        else:
+            print(f"  :{port} ✗ 超时!")
+            ok = False
+    
+    if not ok:
+        print("\n[错误] 部分服务启动失败")
+        cleanup()
+        sys.exit(1)
+
+    print(f"\n{'='*50}")
+    print("服务就绪:")
+    print(f"  API:    http://localhost:8000/docs")
+    print(f"  验证:   http://localhost:8001/health")
+    if frontend:
+        print(f"  前端:   http://localhost:5173")
+    print(f"\n按 Ctrl+C 停止所有服务")
+    print(f"{'='*50}")
+
+    # 4. 等待退出信号
+    try:
+        while True:
+            time.sleep(1)
+    except KeyboardInterrupt:
+        pass
+    finally:
+        cleanup()
+
+
+if __name__ == '__main__':
+    main()
@@ -0,0 +1,50 @@
+@echo off
+setlocal enabledelayedexpansion
+echo ================================================
+echo   agent_jrxml 启动 (全栈)
+echo ================================================
+cd /d "%~dp0"
+
+:: 清理残留进程
+echo [清理] 检查残留进程...
+for /f "tokens=5" %%a in ('netstat -ano ^| findstr ":8000.*LISTENING"') do taskkill /F /PID %%a >nul 2>&1
+for /f "tokens=5" %%a in ('netstat -ano ^| findstr ":8001.*LISTENING"') do taskkill /F /PID %%a >nul 2>&1
+for /f "tokens=5" %%a in ('netstat -ano ^| findstr ":5173.*LISTENING"') do taskkill /F /PID %%a >nul 2>&1
+echo.
+
+:: 1. 验证服务
+echo [1/3] 验证服务 :8001
+start "jrxml-validator" /MIN .venv\Scripts\python.exe -c "import uvicorn; uvicorn.run('validation_service.main:app',host='0.0.0.0',port=8001,reload=False)"
+:wait_val
+ping -n 2 127.0.0.1 >nul
+powershell -Command "try{$r=Invoke-WebRequest -Uri http://localhost:8001/health -TimeoutSec 2 -UseBasicParsing;exit 0}catch{exit 1}" >nul 2>&1
+if errorlevel 1 goto wait_val
+echo    :8001 就绪
+
+:: 2. API 服务
+echo [2/3] API 服务 :8000
+start "jrxml-api" /MIN .venv\Scripts\python.exe -c "import uvicorn; uvicorn.run('api_server:app',host='0.0.0.0',port=8000,reload=False)"
+:wait_api
+ping -n 2 127.0.0.1 >nul
+powershell -Command "try{$r=Invoke-WebRequest -Uri http://localhost:8000/api/health -TimeoutSec 2 -UseBasicParsing;exit 0}catch{exit 1}" >nul 2>&1
+if errorlevel 1 goto wait_api
+echo    :8000 就绪
+
+:: 3. 前端
+echo [3/3] 前端 :5173
+start "jrxml-frontend" /MIN cmd /c "cd /d "%~dp0frontend" && npm run dev"
+:wait_fe
+ping -n 3 127.0.0.1 >nul
+powershell -Command "try{$r=Invoke-WebRequest -Uri http://localhost:5173 -TimeoutSec 3 -UseBasicParsing;exit 0}catch{exit 1}" >nul 2>&1
+if errorlevel 1 goto wait_fe
+echo    :5173 就绪
+
+echo.
+echo ================================================
+echo   全部就绪:
+echo     前端:   http://localhost:5173
+echo     API:    http://localhost:8000/docs
+echo     验证:   http://localhost:8001/health
+echo   运行 stop.bat 停止所有服务
+echo ================================================
+pause
@@ -1,9 +1,8 @@
@echo off
-echo 正在停止 JRXML 代理服务...
-
-taskkill /fi "WINDOWTITLE eq JRXML 验证服务*" /f 2>nul
-taskkill /fi "WINDOWTITLE eq JRXML API*" /f 2>nul
-taskkill /fi "WINDOWTITLE eq JRXML Frontend*" /f 2>nul
-
-echo 已停止。
+chcp 65001 >nul
+echo [清理] 停止所有 agent_jrxml 服务...
+for /f "tokens=5" %%a in ('netstat -ano ^| findstr ":8000.*LISTENING"') do taskkill /F /PID %%a 2>nul
+for /f "tokens=5" %%a in ('netstat -ano ^| findstr ":8001.*LISTENING"') do taskkill /F /PID %%a 2>nul
+for /f "tokens=5" %%a in ('netstat -ano ^| findstr ":5173.*LISTENING"') do taskkill /F /PID %%a 2>nul
+echo 已停止
 pause
@@ -0,0 +1,29 @@
+import sys, io
+sys.stdout = io.TextIOWrapper(sys.stdout.buffer, encoding='utf-8')
+import xml.etree.ElementTree as ET
+from backend.jrxml_reorder import normalize_jrxml
+
+bad = '''<?xml version="1.0" encoding="UTF-8"?>
+<jasperReport xmlns="http://jasperreports.sourceforge.net/jasperreports" name="Test" pageWidth="595" pageHeight="842">
+    <queryString><![CDATA[SELECT 1]]></queryString>
+    <style name="s1"/>
+    <field name="f1" class="java.lang.String"/>
+    <property name="p1" value="v1"/>
+    <parameter name="param1" class="java.lang.String"/>
+    <title><band height="50"><textField><reportElement x="0" y="0" width="100" height="20"/></textField></band></title>
+    <detail><band height="30"><staticText><reportElement x="0" y="0" width="100" height="20"/><text>Hi</text></staticText></band></detail>
+</jasperReport>'''
+
+fixed = normalize_jrxml(bad)
+print('=== Before ===')
+root = ET.fromstring(bad)
+print('Children:', [c.tag.split('}')[-1] for c in root])
+
+print('\n=== After ===')
+root2 = ET.fromstring(fixed)
+print('Children:', [c.tag.split('}')[-1] for c in root2])
+
+# 验证
+import requests
+r = requests.post('http://localhost:8001/validate', json={'jrxml': fixed}, timeout=10)
+print(f'\nValidation: {r.json()}')
@@ -57,7 +57,7 @@ class TestAcceptanceScenarios:
        state["stage"] = "initial_generation"

        final = run_graph(graph, state)
-        assert final.get("retry_count", 0) <= 3, "不应超过最大重试次数"
+        assert final.get("retry_count", 0) <= 5, "不应超过最大重试次数"
        print(f"场景 2 状态: {final.get('status')}, 重试次数: {final.get('retry_count', 0)}")

    def test_scenario3_multi_turn_modification(self, graph):
@@ -128,8 +128,8 @@ class TestAcceptanceScenarios:
        state = create_initial_state()
        state["current_jrxml"] = "<invalid>xml<<<"
        state["user_input"] = "Fix this"
-        state["retry_count"] = 3  # 已达到最大重试次数
+        state["retry_count"] = 5  # 已达到最大重试次数
        state["status"] = "fail"

        final = run_graph(graph, state)
-        assert final.get("retry_count", 0) >= 3 or final.get("status") == "pass"
+        assert final.get("retry_count", 0) >= 5 or final.get("status") == "pass"
@@ -0,0 +1 @@
+测试文件内容
@@ -159,4 +159,4 @@ async def health():
        "schema_available": schema_available,
        "validation_type": "XSD" if schema_available else "仅结构检查",
        "note": "如需完整的 JasperReports 7.0.6 编译验证，请使用基于 Java 的验证器",
-    }
+    }