"""
右侧栏组件：工具状态和统计信息
"""
import streamlit as st


def render_info_panel():
    st.header("📊 会话信息")
    
    # 当前线程信息
    st.subheader("当前对话")
    st.code(st.session_state.current_thread_id[:8] + "...", language=None)
    
    st.divider()
    
    # 消息统计
    st.subheader("消息统计")
    user_msgs = len([m for m in st.session_state.messages if m["role"] == "user"])
    assistant_msgs = len([m for m in st.session_state.messages if m["role"] == "assistant"])
    
    st.metric("用户消息", user_msgs)
    st.metric("AI 回复", assistant_msgs)
    
    st.divider()
    
    # 使用提示
    st.subheader("💡 使用提示")
    st.markdown("""
    - 左侧可切换历史对话
    - 点击"新对话"开始新话题
    - 登录后对话历史隔离
    - 支持流式实时响应
    - 模型可随时切换
    """)
"""
中间栏组件：聊天区域
"""
import streamlit as st
from ..config import config
from ..api_client import stream_chat


def render_chat_area():
    # 模型选择器
    col_model, col_empty = st.columns([2, 3])
    with col_model:
        selected_model_key = st.selectbox(
            "🧠 选择模型",
            options=list(config.model_options.keys()),
            format_func=lambda x: config.model_options[x],
            index=list(config.model_options.keys()).index(st.session_state.selected_model) if st.session_state.selected_model in config.model_options else 0
        )
        st.session_state.selected_model = selected_model_key
    
    st.divider()
    
    # 显示消息历史
    chat_container = st.container(height=500)
    with chat_container:
        for msg in st.session_state.messages:
            with st.chat_message(msg["role"]):
                st.markdown(msg["content"])
    
    # 输入框
    if prompt := st.chat_input("请输入您的问题...", key="chat_input"):
        # 显示用户消息
        with st.chat_message("user"):
            st.markdown(prompt)
        st.session_state.messages.append({"role": "user", "content": prompt})
        
        # 流式调用后端
        with st.chat_message("assistant"):
            message_placeholder = st.empty()
            tool_status_placeholder = st.empty()
            full_response = ""
            
            stream_gen = stream_chat(
                message=prompt,
                thread_id=st.session_state.current_thread_id,
                model=st.session_state.selected_model,
                user_id=st.session_state.user_id
            )
            
            if stream_gen:
                for data in stream_gen:
                    if data["type"] == "token":
                        full_response += data["content"]
                        message_placeholder.markdown(full_response + "▌")
                    
                    elif data["type"] == "tool_start":
                        tool_status_placeholder.info(f"🔧 调用工具: {data['tool']}...")
                    
                    elif data["type"] == "tool_end":
                        tool_status_placeholder.success(f"✅ 工具 {data['tool']} 完成")
                        tool_status_placeholder.empty()
                    
                    elif data["type"] == "done":
                        # 最终响应
                        token_usage = data.get("token_usage", {})
                        elapsed = data.get("elapsed_time", 0)
                        if token_usage:
                            st.caption(f"📊 消耗 {token_usage.get('total_tokens', 0)} tokens | ⏱️ {elapsed:.2f}s")
                    
                    elif data["type"] == "error":
                        st.error(f"❌ 错误: {data['message']}")
                
                # 显示完整响应
                message_placeholder.markdown(full_response)
                st.session_state.messages.append({"role": "assistant", "content": full_response})
                tool_status_placeholder.empty()
"""
左侧栏组件：用户登录 + 历史对话列表
"""
from datetime import datetime
import streamlit as st
from ..state import AppState
from ..api_client import refresh_threads, load_thread_history


def render_sidebar():
    st.header("👤 用户")
    
    # 用户登录区域
    if not st.session_state.logged_in:
        username = st.text_input(
            "输入用户名（可选）",
            key="login_input",
            placeholder="留空使用默认用户",
            help="未登录将使用 default_user，可能导致对话污染"
        )
        
        if st.button("✅ 进入", type="primary", use_container_width=True):
            AppState.login(username)
            refresh_threads(st.session_state.user_id)
        
        st.info("💡 建议登录以隔离对话历史")
    else:
        st.success(f"✅ 当前用户: `{st.session_state.user_id}`")
        
        if st.button("🔄 切换用户", use_container_width=True):
            AppState.reset_login()
    
    st.divider()
    
    # 历史对话列表
    st.header("📚 对话历史")
    
    # 刷新按钮
    if st.button("🔄 刷新列表", use_container_width=True):
        refresh_threads(st.session_state.user_id)
    
    # 新对话按钮
    if st.button("➕ 新对话", type="primary", use_container_width=True):
        AppState.start_new_thread()
    
    st.divider()
    
    # 显示历史列表
    if st.session_state.threads:
        for thread in st.session_state.threads:
            thread_id = thread["thread_id"]
            summary = thread.get("summary", "空对话")
            message_count = thread.get("message_count", 0)
            last_updated = thread.get("last_updated", "")
            
            # 格式化时间
            if last_updated:
                try:
                    dt = datetime.fromisoformat(last_updated.replace("Z", "+00:00"))
                    time_str = dt.strftime("%m-%d %H:%M")
                except:
                    time_str = last_updated[:10]
            else:
                time_str = "未知"
            
            # 按钮样式
            is_current = thread_id == st.session_state.current_thread_id
            button_type = "primary" if is_current else "secondary"
            
            if st.button(
                f"💬 {summary[:30]}{'...' if len(summary) > 30 else ''}\n\n🕐 {time_str} | {message_count}条",
                key=f"thread_{thread_id}",
                use_container_width=True,
                type=button_type
            ):
                load_thread_history(thread_id, st.session_state.user_id)
    else:
        st.info("暂无对话历史")
# Components package
"""
后端 API 客户端封装
"""
import json
import requests
import streamlit as st
from .config import config


def refresh_threads(user_id: str):
    """刷新用户的历史对话列表"""
    try:
        resp = requests.get(
            f"{config.api_base}/threads",
            params={"user_id": user_id, "limit": 50},
            timeout=10
        )
        if resp.status_code == 200:
            st.session_state.threads = resp.json()["threads"]
        else:
            st.error(f"加载历史列表失败: HTTP {resp.status_code}")
    except Exception as e:
        st.error(f"加载历史列表失败: {e}")


def load_thread_history(thread_id: str, user_id: str):
    """加载指定线程的完整消息历史"""
    try:
        resp = requests.get(
            f"{config.api_base}/thread/{thread_id}/messages",
            params={"user_id": user_id},
            timeout=10
        )
        if resp.status_code == 200:
            st.session_state.messages = resp.json()["messages"]
            st.session_state.current_thread_id = thread_id
            st.rerun()
        else:
            st.error(f"加载对话失败: HTTP {resp.status_code}")
    except Exception as e:
        st.error(f"加载对话失败: {e}")


def stream_chat(message: str, thread_id: str, model: str, user_id: str):
    """流式调用后端聊天接口"""
    payload = {
        "message": message,
        "thread_id": thread_id,
        "model": model,
        "user_id": user_id
    }
    
    try:
        with requests.post(
            f"{config.api_base}/chat/stream",
            json=payload,
            stream=True,
            timeout=120
        ) as response:
            if response.status_code != 200:
                st.error(f"请求失败: HTTP {response.status_code}")
                return None
            
            full_response = ""
            for line in response.iter_lines():
                if line:
                    line = line.decode('utf-8')
                    if line.startswith("data: "):
                        data_str = line[6:]
                        if data_str == "[DONE]":
                            break
                        try:
                            data = json.loads(data_str)
                            yield data
                        except json.JSONDecodeError:
                            pass
            return full_response
            
    except Exception as e:
        st.error(f"请求失败: {e}")
        return None
"""
Session State 管理
"""
import uuid
import streamlit as st


class AppState:
    """管理 Streamlit Session State"""

    @staticmethod
    def init():
        """初始化必要的 session state 变量"""
        if "user_id" not in st.session_state:
            st.session_state.user_id = "default_user"
        if "logged_in" not in st.session_state:
            st.session_state.logged_in = False
        if "threads" not in st.session_state:
            st.session_state.threads = []
        if "current_thread_id" not in st.session_state:
            st.session_state.current_thread_id = str(uuid.uuid4())
        if "messages" not in st.session_state:
            st.session_state.messages = []
        if "selected_model" not in st.session_state:
            st.session_state.selected_model = "zhipu"
        if "loading_history" not in st.session_state:
            st.session_state.loading_history = False

    @staticmethod
    def reset_login():
        """重置登录状态"""
        st.session_state.logged_in = False
        st.session_state.user_id = "default_user"
        st.session_state.threads = []
        st.rerun()

    @staticmethod
    def login(username: str):
        """执行登录"""
        st.session_state.user_id = username.strip() if username.strip() else "default_user"
        st.session_state.logged_in = True
        st.rerun()

    @staticmethod
    def start_new_thread():
        """开始新对话"""
        st.session_state.current_thread_id = str(uuid.uuid4())
        st.session_state.messages = []
        st.rerun()
"""
应用配置
"""
import os
from dataclasses import dataclass


@dataclass
class AppConfig:
    page_title: str = "AI 个人助手"
    page_icon: str = "🤖"
    layout: str = "wide"
    # 后端 API 地址配置
    # 优先级：环境变量 API_URL > Docker 内部服务名 > 本地开发地址
    api_base: str = os.getenv("API_URL", "http://localhost:8001").replace("/chat", "")
    
    model_options: dict = None

    def __post_init__(self):
        if self.model_options is None:
            self.model_options = {
                "zhipu": "智谱 GLM-4.7-Flash（在线）",
                "deepseek": "DeepSeek V3.2（在线）",
                "local": "本地 vLLM（Gemma-4）"
            }

config = AppConfig()
"""
AI Agent 前端主入口
采用模块化架构，仅负责组装各组件
"""

import sys
import os

# 添加项目根目录到 Python 路径，支持绝对导入
sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))

import streamlit as st

# 使用绝对导入
from frontend.config import config
from frontend.state import AppState
from frontend.components.sidebar import render_sidebar
from frontend.components.chat_area import render_chat_area
from frontend.components.info_panel import render_info_panel


# =============================================================================
# 页面配置
# =============================================================================
st.set_page_config(
    page_title=config.page_title,
    page_icon=config.page_icon,
    layout=config.layout
)


# =============================================================================
# 初始化状态
# =============================================================================
AppState.init()


# =============================================================================
# 主界面
# =============================================================================
def main():
    """主界面渲染 - 三栏布局"""
    # 标题
    st.title("🤖 个人生活与数据分析助手")
    
    # 三栏布局：左侧栏(1) + 中间栏(3) + 右侧栏(1)
    col_sidebar, col_chat, col_info = st.columns([1, 3, 1])
    
    # 左侧栏：用户登录 + 历史对话
    with col_sidebar:
        render_sidebar()
    
    # 中间栏：模型选择 + 聊天区域 + 输入框
    with col_chat:
        render_chat_area()
    
    # 右侧栏：会话信息 + 统计 + 使用提示
    with col_info:
        render_info_panel()


if __name__ == "__main__":
    main()