panda
067880bf2e
新增: - backend/logger.py — 集中日志模块 (JSON格式 + trace_id + 独立llm.log) - @log_node / @_log_route 装饰器覆盖17个节点和8个路由 改进: - backend/llm.py — _LLMLoggingWrapper 自动记录LLM输入输出 - backend/llm.py — API Key优先读ANTHROPIC_API_KEY，模型名改为MiniMax-M2.7 - backend/llm.py — get_llm() 新增caller参数标识调用来源 - backend/validation.py — 新增验证结果/连接失败日志 - backend/session.py — 新增会话创建/删除日志 - app.py — 新增用户交互日志 (输入/执行/异常/会话操作) - app.py — 提前导入torchvision抑制transformers懒加载报错 - .env.example — 新增LOG_DIR/LOG_LEVEL/ANTHROPIC_API_KEY等配置项 - .gitignore — 新增logs/和db/忽略规则 文档: - ROADMAP.md — 新增阶段四: 可观测性 - README.md — 补充日志架构/LLM配置/项目结构 - CLAUDE.md — 同步最新配置/日志/MAX_RETRY(3) - CODE_GUIDE.md — 新增第15章日志系统，更新架构图/LLM/配置
625 lines
24 KiB
Python
625 lines
24 KiB
Python
"""Streamlit 多轮对话 UI，用于 JRXML 生成代理。
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支持:
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- 流式输出（LLM 逐字展示）
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- 节点平铺展开（每个处理阶段独立展示）
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- 完成后自动折叠节点区
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- 过程总结卡片
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"""
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import os
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import sys
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os.environ.setdefault("TRANSFORMERS_VERBOSITY", "error")
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try:
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import torchvision
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except Exception:
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pass
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import time
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from pathlib import Path
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import streamlit as st
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from dotenv import load_dotenv
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load_dotenv()
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from agent.graph import build_graph, create_initial_state
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from backend.session import (
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create_session,
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load_session,
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delete_session,
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list_all_sessions,
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)
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from backend.logger import get_logger, set_trace_id, generate_trace_id
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_app_log = get_logger("app")
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st.set_page_config(
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page_title="JRXML 代理",
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page_icon="📊",
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layout="wide",
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initial_sidebar_state="expanded",
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)
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# 阻止 Streamlit 裸 'c' 键清除缓存，保留 Ctrl+C 复制行为
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st.html("""
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<script>
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(function() {
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const parent = window.parent.document;
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parent.addEventListener('keydown', function(e) {
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// 仅拦截裸 'c' 键（非 Ctrl/Cmd 组合）
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if (e.key === 'c' && !e.ctrlKey && !e.metaKey && !e.altKey) {
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const tag = parent.activeElement ? parent.activeElement.tagName : '';
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if (tag !== 'INPUT' && tag !== 'TEXTAREA' && !parent.activeElement.isContentEditable) {
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e.stopImmediatePropagation();
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e.preventDefault();
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}
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}
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}, true);
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})();
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</script>
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""")
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# ---- 节点名称 → 中文标签 ----
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NODE_LABELS = {
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"load_session": "📂 加载会话",
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"process_input": "📝 记录输入",
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"manage_context": "🧠 管理上下文",
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"save_state_snapshot": "💾 保存快照",
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"classify_intent": "🔍 识别意图",
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"retrieve": "📚 检索模板",
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"generate": "⚙️ 生成 JRXML",
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"modify_jrxml": "🔧 修改 JRXML",
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"validate": "✅ 验证",
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"explain_error": "🔎 分析错误",
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"correct_jrxml": "🛠 自动修正",
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"finalize": "📋 完成",
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"handle_consult": "💬 咨询回答",
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"handle_undo": "↩ 撤销操作",
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"handle_reset": "🔄 重置会话",
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"save_session": "💾 保存会话",
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}
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INTENT_LABELS = {
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"initial_generation": "新建报表",
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"modify_report": "修改报表",
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"preview_report": "预览报表",
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"export_pdf": "导出 PDF",
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"export_jrxml": "下载 JRXML",
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"undo_modification": "撤销修改",
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"consult_question": "咨询问题",
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"reset_session": "重置会话",
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}
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SKIP_NODES = {"load_session", "process_input", "manage_context",
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"save_state_snapshot", "save_session"}
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def _render_jrxml(jrxml: str, max_lines: int = 30):
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"""展示 JRXML 代码（折叠、限行）。"""
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lines = jrxml.strip().split("\n")
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preview = "\n".join(lines[:max_lines])
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if len(lines) > max_lines:
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preview += f"\n... (共 {len(lines)} 行)"
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st.code(preview, language="xml")
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# ---- URL 参数 ----
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query_params = st.query_params
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url_session_id = query_params.get("session_id", "")
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# ---- 会话状态初始化 ----
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if "messages" not in st.session_state:
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st.session_state.messages = []
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if "graph" not in st.session_state:
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st.session_state.graph = build_graph()
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if "pending_action" not in st.session_state:
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st.session_state.pending_action = None
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if "agent_state" not in st.session_state:
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if url_session_id:
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data = load_session(url_session_id)
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if data and data.get("agent_state"):
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st.session_state.agent_state = data["agent_state"]
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st.session_state.agent_state["session_id"] = url_session_id
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else:
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st.session_state.agent_state = create_initial_state()
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new_data = create_session(name="", agent_state=st.session_state.agent_state)
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st.session_state.agent_state["session_id"] = new_data["session_id"]
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st.session_state.agent_state["session_name"] = new_data["session_name"]
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st.session_state.agent_state["created_at"] = new_data["created_at"]
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else:
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st.session_state.agent_state = create_initial_state()
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new_data = create_session(name="", agent_state=st.session_state.agent_state)
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st.session_state.agent_state["session_id"] = new_data["session_id"]
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st.session_state.agent_state["session_name"] = new_data["session_name"]
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st.session_state.agent_state["created_at"] = new_data["created_at"]
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current_session_id = st.session_state.agent_state.get("session_id", "")
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def run_agent(user_input: str):
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"""运行代理图：流式渲染节点进度 + LLM 文本。"""
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trace_id = generate_trace_id()
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set_trace_id(trace_id)
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agent_state = st.session_state.agent_state
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session_id = agent_state.get("session_id", "")
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_app_log.info(
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"代理执行开始",
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extra={
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"session_id": session_id,
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"trace_id": trace_id,
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"user_input_preview": user_input[:200],
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"user_input_length": len(user_input),
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"has_jrxml": bool(agent_state.get("current_jrxml", "").strip()),
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"intent": agent_state.get("intent", ""),
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},
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)
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if agent_state.get("current_jrxml") and agent_state.get("status") == "pass":
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agent_state["user_modification_request"] = user_input
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agent_state["user_input"] = user_input
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agent_state["retry_count"] = 0
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# ---- UI 占位 ----
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progress_placeholder = st.empty() # 实时节点进度
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streaming_placeholder = st.empty() # 流式文本
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summary_placeholder = st.empty() # 总结卡片
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# 初始状态提示
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progress_placeholder.info("⏳ 正在分析您的需求...")
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executed_nodes: list[dict] = []
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stream_text = ""
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stream_active = False
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final_state = None
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def _render_progress(nodes: list[dict]):
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"""渲染实时节点进度到占位符。"""
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if not nodes:
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return
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lines = []
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for i, node in enumerate(nodes):
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icon = "●" if i == len(nodes) - 1 else "✓"
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detail = f" — {node['detail']}" if node.get("detail") else ""
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lines.append(f"{icon} {node['label']}{detail}")
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progress_placeholder.markdown("\n\n".join(lines))
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try:
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for event in st.session_state.graph.stream(
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agent_state, stream_mode=["updates", "custom"]
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):
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mode, data = event
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if mode == "updates":
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for node_name, node_state in data.items():
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label = NODE_LABELS.get(node_name, node_name)
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if node_name not in SKIP_NODES:
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executed_nodes.append({
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"name": node_name,
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"label": label,
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})
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if node_name == "classify_intent":
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intent = node_state.get("intent", "")
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il = INTENT_LABELS.get(intent, intent)
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executed_nodes[-1]["detail"] = f"意图: {il}"
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elif node_name == "retrieve":
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ctx = node_state.get("retrieved_context", "")
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executed_nodes[-1]["detail"] = (
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f"找到 {len(ctx)} 字符参考模板" if ctx else "未匹配到模板"
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)
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elif node_name in ("generate", "modify_jrxml", "correct_jrxml"):
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jrxml = node_state.get("current_jrxml", "")
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executed_nodes[-1]["detail"] = f"生成 {len(jrxml)} 字符 JRXML"
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elif node_name == "validate":
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status = node_state.get("status", "")
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if status == "pass":
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executed_nodes[-1]["detail"] = "验证通过 ✓"
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else:
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err = node_state.get("error_msg", "")
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executed_nodes[-1]["detail"] = f"验证失败: {err[:80]}"
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elif node_name == "explain_error":
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expl = node_state.get("natural_explanation", "")
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executed_nodes[-1]["detail"] = expl[:120]
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elif node_name == "handle_consult":
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ans = node_state.get("consult_answer", "")
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executed_nodes[-1]["detail"] = ans[:150]
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final_state = node_state
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# 每个节点完成后立即更新进度
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_render_progress(executed_nodes)
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elif mode == "custom":
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cd = data
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if cd.get("type") == "stream":
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stream_text += cd.get("text", "")
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stream_active = True
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streaming_placeholder.code(stream_text, language="xml")
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except Exception as e:
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progress_placeholder.empty()
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_app_log.error(
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f"代理执行异常: {e}",
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extra={"session_id": session_id, "error": str(e)},
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)
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st.error(f"工作流异常: {e}")
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return
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# ---- 清理临时占位 ----
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progress_placeholder.empty()
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if stream_active:
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streaming_placeholder.empty()
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# ---- 总结卡片 ----
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# 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
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final_state = agent_state
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if final_state:
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st.session_state.agent_state = final_state
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intent = final_state.get("intent", "")
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status = final_state.get("status", "")
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with summary_placeholder.container(border=True):
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if intent == "consult_question":
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answer = final_state.get("consult_answer", "")
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st.info(answer)
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st.session_state.messages.append({
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"role": "assistant", "content": answer, "type": "consult",
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})
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elif intent in ("undo_modification", "reset_session"):
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st.success("操作已完成")
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elif intent in ("preview_report", "export_pdf", "export_jrxml"):
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jrxml = final_state.get("current_jrxml", "")
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if jrxml:
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st.success("✅ 当前报表")
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_render_jrxml(jrxml)
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st.session_state.messages.append({
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"role": "assistant", "content": jrxml, "type": "jrxml",
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})
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else:
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st.warning("⚠ 当前没有报表可以展示。")
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elif status == "pass":
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jrxml = final_state.get("current_jrxml", "")
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st.success("✅ JRXML 生成成功")
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st.markdown("**生成结果:**")
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_render_jrxml(jrxml)
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st.caption("您可以从侧边栏下载文件，或继续对话进行修改。")
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st.session_state.messages.append({
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"role": "assistant", "content": jrxml, "type": "jrxml",
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})
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st.session_state.messages.append({
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"role": "assistant",
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"content": "✅ JRXML 生成成功！您可以从侧边栏下载文件，或继续修改。",
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"type": "success",
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})
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else:
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jrxml = final_state.get("current_jrxml", "")
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error_msg = final_state.get("error_msg", "未知错误")
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explanation = final_state.get("natural_explanation", "")
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retries = final_state.get("retry_count", 0)
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st.error(f"❌ 经过 {retries} 次重试后仍无法生成有效的 JRXML")
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st.markdown(f"**错误:** {error_msg}")
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if explanation:
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st.markdown(f"**原因:** {explanation}")
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if jrxml:
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with st.expander("查看当前 JRXML"):
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_render_jrxml(jrxml, max_lines=80)
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st.caption("💡 下次输入修改需求时，系统会自动加载失败上下文继续修复。")
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st.session_state.messages.append({
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"role": "assistant",
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"content": f"❌ 经过 {retries} 次重试后仍无法生成有效的 JRXML。\n\n**错误:** {error_msg}\n\n💡 请直接描述修改需求，系统会自动加载失败上下文。",
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"type": "error_explanation",
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})
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else:
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st.error("未产生结果，请重试。")
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_app_log.info(
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"代理执行完成",
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extra={
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"session_id": session_id,
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"intent": final_state.get("intent", ""),
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"status": final_state.get("status", ""),
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"jrxml_length": len(final_state.get("current_jrxml", "")),
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"retry_count": final_state.get("retry_count", 0),
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},
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)
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# ---- 侧边栏 ----
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with st.sidebar:
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st.title("📊 JRXML 代理")
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st.markdown("通过自然语言生成 JasperReports 模板。")
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st.divider()
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# 会话管理
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st.markdown("### 会话管理")
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sessions = list_all_sessions()
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session_options = {}
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for s in sessions:
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sid = s["session_id"]
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name = s.get("session_name", sid)
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updated = s.get("updated_at", "")[:16]
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session_options[f"{name} ({updated})"] = sid
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selected_label = None
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for label, sid in session_options.items():
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if sid == current_session_id:
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selected_label = label
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break
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selected = st.selectbox(
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"切换会话",
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options=list(session_options.keys()),
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index=list(session_options.keys()).index(selected_label) if selected_label else 0,
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key="session_selector",
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)
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if selected and session_options.get(selected) != current_session_id:
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new_sid = session_options[selected]
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data = load_session(new_sid)
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if data and data.get("agent_state"):
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_app_log.info(
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"切换会话",
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extra={"from_session": current_session_id, "to_session": new_sid},
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)
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st.session_state.agent_state = data["agent_state"]
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st.session_state.messages = []
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st.rerun()
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col1, col2 = st.columns(2)
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with col1:
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if st.button("➕ 新建", use_container_width=True):
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new_data = create_session(name="", agent_state=create_initial_state())
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_app_log.info(
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"新建会话",
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extra={"session_id": new_data["session_id"]},
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)
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st.session_state.agent_state = create_initial_state()
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st.session_state.agent_state["session_id"] = new_data["session_id"]
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st.session_state.agent_state["session_name"] = new_data["session_name"]
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st.session_state.agent_state["created_at"] = new_data["created_at"]
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st.session_state.messages = []
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st.rerun()
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with col2:
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if st.button("🗑 删除", use_container_width=True):
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if current_session_id:
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_app_log.info(
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"删除会话",
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extra={"session_id": current_session_id},
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)
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delete_session(current_session_id)
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st.session_state.agent_state = create_initial_state()
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new_data = create_session(name="", agent_state=st.session_state.agent_state)
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st.session_state.agent_state["session_id"] = new_data["session_id"]
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st.session_state.agent_state["session_name"] = new_data["session_name"]
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st.session_state.agent_state["created_at"] = new_data["created_at"]
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st.session_state.messages = []
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st.rerun()
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current_name = st.session_state.agent_state.get("session_name", "")
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st.caption(f"当前: {current_name} (`{current_session_id}`)")
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st.divider()
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st.markdown("### 快捷操作")
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has_jrxml = bool(st.session_state.agent_state.get("current_jrxml", "").strip())
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has_history = bool(st.session_state.agent_state.get("history_states", []))
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qcol1, qcol2 = st.columns(2)
|
||
with qcol1:
|
||
if st.button("👁 预览", use_container_width=True, disabled=not has_jrxml):
|
||
with st.spinner("正在准备预览..."):
|
||
run_agent("预览报表")
|
||
st.rerun()
|
||
with qcol2:
|
||
if st.button("↩ 撤销", use_container_width=True, disabled=not has_history):
|
||
with st.spinner("正在撤销..."):
|
||
run_agent("撤销上一步修改")
|
||
st.rerun()
|
||
|
||
if st.button("🔄 重置会话", use_container_width=True):
|
||
with st.spinner("正在重置..."):
|
||
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}]
|
||
|
||
uploaded = st.file_uploader(
|
||
"选择文件",
|
||
type=["png", "jpg", "jpeg", "bmp", "webp", "pdf", "docx", "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
|
||
import tempfile
|
||
from backend.file_parser import parse_file
|
||
from backend.layout_analyzer import analyze_layout
|
||
|
||
suffix = Path(uf.name).suffix.lower()
|
||
with tempfile.NamedTemporaryFile(suffix=suffix, delete=False) as tmp:
|
||
tmp.write(uf.getvalue())
|
||
tmp_path = tmp.name
|
||
|
||
result = parse_file(tmp_path, suffix)
|
||
|
||
# 对图片/PDF 进行 A4 模板布局分析
|
||
parsed_text = result["text"]
|
||
parsed_type = result["file_type"]
|
||
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"
|
||
elif tt == "partial_rows":
|
||
parsed_type = "a4_partial"
|
||
if current_jrxml.strip():
|
||
# 修改模式：尝试行匹配
|
||
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:
|
||
# 新建模式：按 A4 模板处理
|
||
parsed_text = layout["description"]
|
||
else:
|
||
# tt == "unknown": OCR 不可用或未检测到文字元素
|
||
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"
|
||
|
||
Path(tmp_path).unlink(missing_ok=True)
|
||
|
||
if parsed_text:
|
||
st.session_state.uploaded_files.append({
|
||
"name": uf.name,
|
||
"text": parsed_text,
|
||
"type": parsed_type,
|
||
})
|
||
|
||
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"验证服务: {os.getenv('VALIDATION_SERVICE_URL', 'http://localhost:8001/validate')}")
|
||
|
||
st.divider()
|
||
st.markdown("### 下载")
|
||
|
||
final = st.session_state.agent_state.get("final_jrxml", "")
|
||
versions = st.session_state.agent_state.get("jrxml_versions", [])
|
||
|
||
if final:
|
||
st.download_button(
|
||
label="📥 下载最新 JRXML",
|
||
data=final,
|
||
file_name="report.jrxml",
|
||
mime="application/xml",
|
||
use_container_width=True,
|
||
)
|
||
|
||
if versions:
|
||
with st.expander("📋 历史版本", expanded=False):
|
||
for i, v in enumerate(reversed(versions)):
|
||
ts = v.get("ts", "")[:16]
|
||
label = v.get("label", "版本")
|
||
status = v.get("status", "")
|
||
icon = "✅" if status == "pass" else "❌"
|
||
dl_label = f"{icon} v{len(versions)-i} — {label} ({ts})"
|
||
st.download_button(
|
||
label=dl_label,
|
||
data=v.get("jrxml", ""),
|
||
file_name=f"report_v{len(versions)-i}.jrxml",
|
||
mime="application/xml",
|
||
use_container_width=True,
|
||
key=f"dl_v{i}",
|
||
)
|
||
|
||
# ---- 标题 ----
|
||
st.title("📝 JRXML 报表生成器")
|
||
st.caption("用自然语言描述您的报表需求，我将逐步生成可用的 JRXML 模板。")
|
||
|
||
# ---- 聊天历史 ----
|
||
for msg in st.session_state.messages:
|
||
with st.chat_message(msg["role"]):
|
||
if msg.get("type") == "jrxml":
|
||
with st.expander("查看生成的 JRXML", expanded=False):
|
||
st.code(msg["content"], language="xml")
|
||
elif msg.get("type") == "error_explanation":
|
||
st.warning(msg["content"])
|
||
elif msg.get("type") == "success":
|
||
st.success(msg["content"])
|
||
elif msg.get("type") == "consult":
|
||
st.info(msg["content"])
|
||
else:
|
||
st.markdown(msg["content"])
|
||
|
||
# ---- 聊天输入 ----
|
||
if prompt := st.chat_input("描述您的报表需求..."):
|
||
# 拼接上传文件的文本
|
||
uploaded_texts = []
|
||
uploaded_files_info = []
|
||
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"])})
|
||
if uploaded_texts:
|
||
full_prompt = "\n\n".join(uploaded_texts) + "\n\n---\n用户需求:\n" + prompt
|
||
st.session_state.uploaded_files = [] # 用后即清
|
||
else:
|
||
full_prompt = prompt
|
||
|
||
_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(uploaded_files_info),
|
||
"uploaded_files": uploaded_files_info,
|
||
},
|
||
)
|
||
|
||
st.session_state.messages.append({"role": "user", "content": prompt})
|
||
with st.chat_message("user"):
|
||
st.markdown(prompt)
|
||
run_agent(full_prompt)
|
||
st.rerun()
|