"""Streamlit 多轮对话 UI，用于 JRXML 生成代理。

支持:
- 流式输出（LLM 逐字展示）
- 节点平铺展开（每个处理阶段独立展示）
- 完成后自动折叠节点区
- 过程总结卡片
"""

import os
import sys

os.environ.setdefault("TRANSFORMERS_VERBOSITY", "error")

try:
    import torchvision
except Exception:
    pass

import time
from pathlib import Path

import streamlit as st

from dotenv import load_dotenv
load_dotenv()

from agent.graph import build_graph, create_initial_state
from backend.session import (
    create_session,
    load_session,
    delete_session,
    list_all_sessions,
)
from backend.logger import get_logger, set_trace_id, generate_trace_id

_app_log = get_logger("app")

st.set_page_config(
    page_title="JRXML 代理",
    page_icon="📊",
    layout="wide",
    initial_sidebar_state="expanded",
)

# 阻止 Streamlit 裸 'c' 键清除缓存，保留 Ctrl+C 复制行为
st.html("""
<script>
(function() {
    const parent = window.parent.document;
    parent.addEventListener('keydown', function(e) {
        // 仅拦截裸 'c' 键（非 Ctrl/Cmd 组合）
        if (e.key === 'c' && !e.ctrlKey && !e.metaKey && !e.altKey) {
            const tag = parent.activeElement ? parent.activeElement.tagName : '';
            if (tag !== 'INPUT' && tag !== 'TEXTAREA' && !parent.activeElement.isContentEditable) {
                e.stopImmediatePropagation();
                e.preventDefault();
            }
        }
    }, true);
})();
</script>
""")

# ---- 节点名称 → 中文标签 ----
NODE_LABELS = {
    "load_session":       "📂 加载会话",
    "process_input":      "📝 记录输入",
    "manage_context":     "🧠 管理上下文",
    "save_state_snapshot": "💾 保存快照",
    "classify_intent":    "🔍 识别意图",
    "retrieve":           "📚 检索模板",
    "generate":           "⚙️ 生成 JRXML",
    "modify_jrxml":       "🔧 修改 JRXML",
    "validate":           "✅ 验证",
    "explain_error":      "🔎 分析错误",
    "correct_jrxml":      "🛠 自动修正",
    "finalize":           "📋 完成",
    "handle_consult":     "💬 咨询回答",
    "handle_undo":        "↩ 撤销操作",
    "handle_reset":       "🔄 重置会话",
    "save_session":       "💾 保存会话",
}

INTENT_LABELS = {
    "initial_generation": "新建报表",
    "modify_report":      "修改报表",
    "preview_report":     "预览报表",
    "export_pdf":         "导出 PDF",
    "export_jrxml":       "下载 JRXML",
    "undo_modification":  "撤销修改",
    "consult_question":   "咨询问题",
    "reset_session":      "重置会话",
}

SKIP_NODES = {"load_session", "process_input", "manage_context",
              "save_state_snapshot", "save_session"}


def _render_jrxml(jrxml: str, max_lines: int = 30):
    """展示 JRXML 代码（折叠、限行）。"""
    lines = jrxml.strip().split("\n")
    preview = "\n".join(lines[:max_lines])
    if len(lines) > max_lines:
        preview += f"\n... (共 {len(lines)} 行)"
    st.code(preview, language="xml")


# ---- URL 参数 ----
query_params = st.query_params
url_session_id = query_params.get("session_id", "")

# ---- 会话状态初始化 ----
if "messages" not in st.session_state:
    st.session_state.messages = []
if "graph" not in st.session_state:
    st.session_state.graph = build_graph()
if "pending_action" not in st.session_state:
    st.session_state.pending_action = None

if "agent_state" not in st.session_state:
    if url_session_id:
        data = load_session(url_session_id)
        if data and data.get("agent_state"):
            st.session_state.agent_state = data["agent_state"]
            st.session_state.agent_state["session_id"] = url_session_id
        else:
            st.session_state.agent_state = create_initial_state()
            new_data = create_session(name="", agent_state=st.session_state.agent_state)
            st.session_state.agent_state["session_id"] = new_data["session_id"]
            st.session_state.agent_state["session_name"] = new_data["session_name"]
            st.session_state.agent_state["created_at"] = new_data["created_at"]
    else:
        st.session_state.agent_state = create_initial_state()
        new_data = create_session(name="", agent_state=st.session_state.agent_state)
        st.session_state.agent_state["session_id"] = new_data["session_id"]
        st.session_state.agent_state["session_name"] = new_data["session_name"]
        st.session_state.agent_state["created_at"] = new_data["created_at"]

current_session_id = st.session_state.agent_state.get("session_id", "")


def run_agent(user_input: str):
    """运行代理图：流式渲染节点进度 + LLM 文本。"""
    trace_id = generate_trace_id()
    set_trace_id(trace_id)
    agent_state = st.session_state.agent_state
    session_id = agent_state.get("session_id", "")

    _app_log.info(
        "代理执行开始",
        extra={
            "session_id": session_id,
            "trace_id": trace_id,
            "user_input_preview": user_input[:200],
            "user_input_length": len(user_input),
            "has_jrxml": bool(agent_state.get("current_jrxml", "").strip()),
            "intent": agent_state.get("intent", ""),
        },
    )

    if agent_state.get("current_jrxml") and agent_state.get("status") == "pass":
        agent_state["user_modification_request"] = user_input

    agent_state["user_input"] = user_input
    agent_state["retry_count"] = 0

    # ---- UI 占位 ----
    progress_placeholder = st.empty()     # 实时节点进度
    streaming_placeholder = st.empty()    # 流式文本
    summary_placeholder = st.empty()      # 总结卡片

    # 初始状态提示
    progress_placeholder.info("⏳ 正在分析您的需求...")

    executed_nodes: list[dict] = []
    stream_text = ""
    stream_active = False
    final_state = None

    def _render_progress(nodes: list[dict]):
        """渲染实时节点进度到占位符。"""
        if not nodes:
            return
        lines = []
        for i, node in enumerate(nodes):
            icon = "●" if i == len(nodes) - 1 else "✓"
            detail = f" — {node['detail']}" if node.get("detail") else ""
            lines.append(f"{icon} {node['label']}{detail}")
        progress_placeholder.markdown("\n\n".join(lines))

    try:
        for event in st.session_state.graph.stream(
            agent_state, stream_mode=["updates", "custom"]
        ):
            mode, data = event

            if mode == "updates":
                for node_name, node_state in data.items():
                    label = NODE_LABELS.get(node_name, node_name)
                    if node_name not in SKIP_NODES:
                        executed_nodes.append({
                            "name": node_name,
                            "label": label,
                        })

                    if node_name == "classify_intent":
                        intent = node_state.get("intent", "")
                        il = INTENT_LABELS.get(intent, intent)
                        executed_nodes[-1]["detail"] = f"意图: {il}"

                    elif node_name == "retrieve":
                        ctx = node_state.get("retrieved_context", "")
                        executed_nodes[-1]["detail"] = (
                            f"找到 {len(ctx)} 字符参考模板" if ctx else "未匹配到模板"
                        )

                    elif node_name in ("generate", "modify_jrxml", "correct_jrxml"):
                        jrxml = node_state.get("current_jrxml", "")
                        executed_nodes[-1]["detail"] = f"生成 {len(jrxml)} 字符 JRXML"

                    elif node_name == "validate":
                        status = node_state.get("status", "")
                        if status == "pass":
                            executed_nodes[-1]["detail"] = "验证通过 ✓"
                        else:
                            err = node_state.get("error_msg", "")
                            executed_nodes[-1]["detail"] = f"验证失败: {err[:80]}"

                    elif node_name == "explain_error":
                        expl = node_state.get("natural_explanation", "")
                        executed_nodes[-1]["detail"] = expl[:120]

                    elif node_name == "handle_consult":
                        ans = node_state.get("consult_answer", "")
                        executed_nodes[-1]["detail"] = ans[:150]

                    final_state = node_state

                # 每个节点完成后立即更新进度
                _render_progress(executed_nodes)

            elif mode == "custom":
                cd = data
                if cd.get("type") == "stream":
                    stream_text += cd.get("text", "")
                    stream_active = True
                    streaming_placeholder.code(stream_text, language="xml")

    except Exception as e:
        progress_placeholder.empty()
        _app_log.error(
            f"代理执行异常: {e}",
            extra={"session_id": session_id, "error": str(e)},
        )
        st.error(f"工作流异常: {e}")
        return

    # ---- 清理临时占位 ----
    progress_placeholder.empty()
    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
    if final_state:
        st.session_state.agent_state = final_state
        intent = final_state.get("intent", "")
        status = final_state.get("status", "")

        with summary_placeholder.container(border=True):
            if intent == "consult_question":
                answer = final_state.get("consult_answer", "")
                st.info(answer)
                st.session_state.messages.append({
                    "role": "assistant", "content": answer, "type": "consult",
                })

            elif intent in ("undo_modification", "reset_session"):
                st.success("操作已完成")

            elif intent in ("preview_report", "export_pdf", "export_jrxml"):
                jrxml = final_state.get("current_jrxml", "")
                if jrxml:
                    st.success("✅ 当前报表")
                    _render_jrxml(jrxml)
                    st.session_state.messages.append({
                        "role": "assistant", "content": jrxml, "type": "jrxml",
                    })
                else:
                    st.warning("⚠ 当前没有报表可以展示。")

            elif status == "pass":
                jrxml = final_state.get("current_jrxml", "")
                st.success("✅ JRXML 生成成功")
                st.markdown("**生成结果:**")
                _render_jrxml(jrxml)
                st.caption("您可以从侧边栏下载文件，或继续对话进行修改。")
                st.session_state.messages.append({
                    "role": "assistant", "content": jrxml, "type": "jrxml",
                })
                st.session_state.messages.append({
                    "role": "assistant",
                    "content": "✅ JRXML 生成成功！您可以从侧边栏下载文件，或继续修改。",
                    "type": "success",
                })

            else:
                jrxml = final_state.get("current_jrxml", "")
                error_msg = final_state.get("error_msg", "未知错误")
                explanation = final_state.get("natural_explanation", "")
                retries = final_state.get("retry_count", 0)
                st.error(f"❌ 经过 {retries} 次重试后仍无法生成有效的 JRXML")
                st.markdown(f"**错误:** {error_msg}")
                if explanation:
                    st.markdown(f"**原因:** {explanation}")
                if jrxml:
                    with st.expander("查看当前 JRXML"):
                        _render_jrxml(jrxml, max_lines=80)
                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。")
                st.session_state.messages.append({
                    "role": "assistant",
                    "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。",
                    "type": "error_explanation",
                })

            # OCR 字段提取结果展示
            ocr_result = agent_state.get("ocr_extraction_result", {})
            if ocr_result and ocr_result.get("ocr_available") and ocr_result.get("fields"):
                with st.expander("🔍 OCR 单据字段提取结果", expanded=False):
                    fields = ocr_result.get("fields", [])
                    non_empty = [f for f in fields if f.get("field_value")]
                    empty = [f for f in fields if not f.get("field_value")]
                    if non_empty:
                        st.markdown("**已提取字段:**")
                        for f in non_empty:
                            method = f.get("extraction_method", "")
                            conf = f.get("confidence", 0)
                            st.markdown(
                                f"- **{f['field_name']}**: `{f['field_value']}` "
                                f"（置信度: {conf:.0%}, 方法: {method}）"
                            )
                    if empty:
                        st.caption(
                            f"未提取到值的字段: {', '.join(f['field_name'] for f in empty)}"
                        )
                    st.caption(
                        f"共检测到 {ocr_result.get('total_elements', 0)} 个文本元素"
                    )
    else:
        st.error("未产生结果，请重试。")

    _app_log.info(
        "代理执行完成",
        extra={
            "session_id": session_id,
            "intent": final_state.get("intent", ""),
            "status": final_state.get("status", ""),
            "jrxml_length": len(final_state.get("current_jrxml", "")),
            "retry_count": final_state.get("retry_count", 0),
        },
    )


# ---- 侧边栏 ----
with st.sidebar:
    st.title("📊 JRXML 代理")
    st.markdown("通过自然语言生成 JasperReports 模板。")
    st.divider()

    # 会话管理
    st.markdown("### 会话管理")
    sessions = list_all_sessions()
    session_options = {}
    for s in sessions:
        sid = s["session_id"]
        name = s.get("session_name", sid)
        updated = s.get("updated_at", "")[:16]
        session_options[f"{name} ({updated})"] = sid

    selected_label = None
    for label, sid in session_options.items():
        if sid == current_session_id:
            selected_label = label
            break

    selected = st.selectbox(
        "切换会话",
        options=list(session_options.keys()),
        index=list(session_options.keys()).index(selected_label) if selected_label else 0,
        key="session_selector",
    )

    if selected and session_options.get(selected) != current_session_id:
        new_sid = session_options[selected]
        data = load_session(new_sid)
        if data and data.get("agent_state"):
            _app_log.info(
                "切换会话",
                extra={"from_session": current_session_id, "to_session": new_sid},
            )
            st.session_state.agent_state = data["agent_state"]
            st.session_state.messages = []
            st.rerun()

    col1, col2 = st.columns(2)
    with col1:
        if st.button("➕ 新建", use_container_width=True):
            new_data = create_session(name="", agent_state=create_initial_state())
            _app_log.info(
                "新建会话",
                extra={"session_id": new_data["session_id"]},
            )
            st.session_state.agent_state = create_initial_state()
            st.session_state.agent_state["session_id"] = new_data["session_id"]
            st.session_state.agent_state["session_name"] = new_data["session_name"]
            st.session_state.agent_state["created_at"] = new_data["created_at"]
            st.session_state.messages = []
            st.rerun()
    with col2:
        if st.button("🗑 删除", use_container_width=True):
            if current_session_id:
                _app_log.info(
                    "删除会话",
                    extra={"session_id": current_session_id},
                )
                delete_session(current_session_id)
            st.session_state.agent_state = create_initial_state()
            new_data = create_session(name="", agent_state=st.session_state.agent_state)
            st.session_state.agent_state["session_id"] = new_data["session_id"]
            st.session_state.agent_state["session_name"] = new_data["session_name"]
            st.session_state.agent_state["created_at"] = new_data["created_at"]
            st.session_state.messages = []
            st.rerun()

    current_name = st.session_state.agent_state.get("session_name", "")
    st.caption(f"当前: {current_name} (`{current_session_id}`)")

    st.divider()
    st.markdown("### 快捷操作")

    has_jrxml = bool(st.session_state.agent_state.get("current_jrxml", "").strip())
    has_history = bool(st.session_state.agent_state.get("history_states", []))

    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}]

    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", "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"

            if parsed_text:
                st.session_state.uploaded_files.append({
                    "name": uf.name,
                    "text": parsed_text,
                    "type": parsed_type,
                })

            # 对图片类型，保存路径以便 OCR 字段提取（延迟到 process_input 阶段）
            img_suffixes = (".png", ".jpg", ".jpeg", ".bmp", ".webp")
            if suffix in img_suffixes and result.get("method") not in ("metadata_only", None):
                st.session_state.agent_state["uploaded_file_path"] = tmp_path
                st.session_state.uploaded_temp_paths.append(tmp_path)
            else:
                Path(tmp_path).unlink(missing_ok=True)

    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()