"""
MatchMe Studio - UI (Streamlit)
Style: Kaogujia (Clean, Data-heavy, Professional)
"""
import streamlit as st
import json
import time
import os
import random
from pathlib import Path
import pandas as pd
from time import perf_counter
from concurrent.futures import ThreadPoolExecutor, as_completed

# Import Backend Modules
import config
from modules.script_gen import ScriptGenerator
from modules.image_gen import ImageGenerator
from modules.video_gen import VideoGenerator
from modules.composer import VideoComposer, VideoComposer as Composer # alias
from modules.text_renderer import renderer
from modules import export_utils
from modules.db_manager import db
from modules import path_utils
from modules import limits
from modules.legacy_path_mapper import map_legacy_local_path
from modules.legacy_normalizer import normalize_legacy_project

# Page Config
st.set_page_config(
    page_title="Video Flow Console",
    page_icon="🎬",
    layout="wide",
    initial_sidebar_state="expanded"
)

# ============================================================
# BGM 智能匹配函数
# ============================================================
def match_bgm_by_style(bgm_style: str, bgm_dir: Path) -> str:
    """
    根据脚本 bgm_style 智能匹配 BGM 文件
    - 匹配成功：随机选一个匹配的 BGM
    - 匹配失败：随机选任意一个 BGM
    """
    # 获取所有 BGM 文件 (支持 .mp3 和 .mp4)
    bgm_files = list(bgm_dir.glob("*.[mM][pP][34]")) + list(bgm_dir.glob("*.[mM][pP]3"))
    bgm_files = [f for f in bgm_files if f.is_file() and not f.name.startswith('.')]
    
    if not bgm_files:
        return None
    
    # 关键词匹配
    if bgm_style:
        style_lower = bgm_style.lower()
        # 提取关键词 (中文分词简化版：按常见词匹配)
        keywords = ["活泼", "欢快", "轻松", "舒缓", "休闲", "温柔", "随性", "百搭", "bling", "节奏"]
        matched_keywords = [kw for kw in keywords if kw in style_lower]
        
        matched_files = []
        for f in bgm_files:
            fname = f.name
            if any(kw in fname for kw in matched_keywords):
                matched_files.append(f)
        
        if matched_files:
            return str(random.choice(matched_files))
    
    # 无匹配则随机选一个
    return str(random.choice(bgm_files))

# ============================================================
# CSS Styling (Kaogujia Style)
# ============================================================
st.markdown("""
<style>
    /* 只保留颜色和字体样式，完全不干预布局和滚动 */
    .stApp {
        background-color: #F4F5F7;
        font-family: "PingFang SC", "Microsoft YaHei", sans-serif;
    }
    
    section[data-testid="stSidebar"] {
        background-color: #FFFFFF;
        border-right: 1px solid #E5E7EB;
    }
    
    .stButton button {
        border-radius: 4px;
        font-weight: 500;
    }
    
    div[data-testid="stButton"] > button[kind="primary"] {
        background-color: #1677FF;
        color: white;
        border: none;
    }
    div[data-testid="stButton"] > button[kind="primary"]:hover {
        background-color: #4096FF;
    }

    h1, h2, h3 {
        color: #1F2329;
        font-weight: 600;
    }
    h2 { border-left: 4px solid #1677FF; padding-left: 10px; }
    
    .stTextInput input, .stTextArea textarea {
        border-radius: 4px;
    }
</style>
""", unsafe_allow_html=True)

# ============================================================
# Session State Management
# ============================================================
if "project_id" not in st.session_state:
    st.session_state.project_id = None
if "current_step" not in st.session_state:
    st.session_state.current_step = 0
if "script_data" not in st.session_state:
    st.session_state.script_data = None
if "scene_images" not in st.session_state:
    st.session_state.scene_images = {}
if "scene_videos" not in st.session_state:
    st.session_state.scene_videos = {}
if "final_video" not in st.session_state:
    st.session_state.final_video = None
if "uploaded_images" not in st.session_state:
    st.session_state.uploaded_images = []
if "view_mode" not in st.session_state:
    st.session_state.view_mode = "workspace" # workspace, history, settings
if "selected_img_provider" not in st.session_state:
    st.session_state.selected_img_provider = "shubiaobiao"

def load_project(project_id):
    """Load project state from DB"""
    data = db.get_project(project_id)
    if not data:
        st.error("Project not found")
        return
    
    st.session_state.project_id = project_id
    st.session_state.script_data = data.get("script_data")
    st.session_state.view_mode = "workspace"

    # Fallback: 如果 DB 中的 script_data 是旧结构/缺字段，则从 legacy JSON 重新规范化一次
    try:
        script_data = st.session_state.script_data
        legacy_json = Path(config.TEMP_DIR) / f"project_{project_id}.json"

        def _needs_normalize(sd: Any) -> bool:
            if not isinstance(sd, dict):
                return True
            if "_legacy_schema" not in sd:
                return True
            scenes = sd.get("scenes") or []
            if scenes and isinstance(scenes, list) and isinstance(scenes[0], dict):
                if "visual_prompt" not in scenes[0] or "video_prompt" not in scenes[0]:
                    return True
            return False

        if legacy_json.exists() and _needs_normalize(script_data):
            raw = json.loads(legacy_json.read_text(encoding="utf-8"))
            normalized = normalize_legacy_project(raw)
            st.session_state.script_data = normalized
            # 写回 DB，避免每次 load 都重新算
            db.update_project_script(project_id, normalized)
            st.info("已从 legacy JSON 重新规范化脚本字段（兼容旧版项目）。")
    except Exception as e:
        st.warning(f"legacy 规范化失败（将继续使用 DB 数据）: {e}")
    
    # Restore product info for Step 1 display
    product_info = data.get("product_info", {})
    st.session_state.loaded_product_name = data.get("name", "")
    st.session_state.loaded_product_info = product_info
    
    # Restore uploaded images from product_info
    if product_info and "uploaded_images" in product_info:
        # 检查文件是否仍存在
        valid_paths = [p for p in product_info["uploaded_images"] if os.path.exists(p)]
        st.session_state.uploaded_images = valid_paths
        if len(valid_paths) < len(product_info["uploaded_images"]):
            st.warning(f"部分原始图片已丢失 ({len(product_info['uploaded_images']) - len(valid_paths)} 张)，建议重新上传")
    else:
        st.session_state.uploaded_images = []
    
    # Restore assets
    assets = db.get_assets(project_id)
    images = {}
    videos = {}
    final_vid = None
    
    for asset in assets:
        sid = asset["scene_id"]
        source_path, _mapped_url = map_legacy_local_path(asset.get("local_path"))
        # 假设 scene_id 0 或 -1 用于 final video
        if asset["asset_type"] == "image" and asset["status"] == "completed":
            if source_path:
                images[sid] = source_path
        elif asset["asset_type"] == "video" and asset["status"] == "completed":
            if source_path:
                videos[sid] = source_path
        elif asset["asset_type"] == "final_video" and asset["status"] == "completed":
            if source_path:
                final_vid = source_path
            
    st.session_state.scene_images = images
    st.session_state.scene_videos = videos
    st.session_state.final_video = final_vid
    
    # Determine step
    if final_vid:
        st.session_state.current_step = 4
    elif videos:
        st.session_state.current_step = 4
    elif images:
        st.session_state.current_step = 3
    elif st.session_state.script_data:
        st.session_state.current_step = 1
    else:
        st.session_state.current_step = 0

# ============================================================
# Sidebar
# ============================================================
with st.sidebar:
    st.title("📽️ Video Flow")
    
    # Mode Selection - 正确计算 index
    mode_options = ["🛠️ 工作台", "📜 历史任务", "⚙️ 设置"]
    mode_map = {"workspace": 0, "history": 1, "settings": 2}
    current_index = mode_map.get(st.session_state.view_mode, 0)
    
    mode = st.radio("模式", mode_options, index=current_index)
    if mode == "🛠️ 工作台":
        st.session_state.view_mode = "workspace"
    elif mode == "📜 历史任务":
        st.session_state.view_mode = "history"
    elif mode == "⚙️ 设置":
        st.session_state.view_mode = "settings"

    st.markdown("---")

    if st.session_state.view_mode == "workspace":
        # Project Selection
        st.subheader("Current Project")
        projects = db.list_projects()
        proj_options = {p['id']: f"{p.get('name', 'Untitled')} ({p['id']})" for p in projects}
        
        selected_proj_id = st.selectbox(
            "Select Project", 
            options=["New Project"] + list(proj_options.keys()),
            format_func=lambda x: "➕ New Project" if x == "New Project" else proj_options[x]
        )
        
        if selected_proj_id == "New Project":
            if st.session_state.project_id and st.session_state.project_id in proj_options:
                 # If switching from existing to new, reset
                 if st.button("Start New"):
                    for key in list(st.session_state.keys()):
                        if key != "view_mode": del st.session_state[key]
                    st.rerun()
        else:
            if st.session_state.project_id != selected_proj_id:
                if st.button(f"Load {selected_proj_id}"):
                    load_project(selected_proj_id)
                    st.rerun()

        if st.session_state.project_id:
            st.caption(f"Current ID: {st.session_state.project_id}")
            with st.expander("⏱️ 性能与诊断", expanded=False):
                m = _get_metrics(st.session_state.project_id)
                if not m:
                    st.caption("暂无指标（执行一次脚本/生图/生视频/合成后会出现）。")
                else:
                    keys = [
                        "script_gen_s",
                        "image_gen_total_s",
                        "video_submit_s",
                        "video_recover_s",
                        "compose_s",
                        "script_model",
                        "image_provider",
                        "image_generated",
                        "video_submitted",
                        "video_recovered",
                        "bgm_used",
                    ]
                    for k in keys:
                        if k in m:
                            st.caption(f"{k}: {m.get(k)}")
        # 在线剪辑入口（React Editor）
        web_base_url = os.getenv("WEB_BASE_URL", "http://localhost:3000").rstrip("/")
        st.markdown(
            f"[打开在线剪辑器]({web_base_url}/editor/{st.session_state.project_id})",
            unsafe_allow_html=False,
        )
        
        st.markdown("---")
        
        # Navigation / Progress
        steps = ["1. 输入信息", "2. 生成脚本", "3. 画面生成", "4. 视频生成", "5. 合成输出"]
        current = st.session_state.current_step
        
        for i, step in enumerate(steps):
            if i < current:
                st.markdown(f"✅ **{step}**")
            elif i == current:
                st.markdown(f"🔵 **{step}**")
            else:
                st.markdown(f"⚪ {step}")
                
        st.markdown("---")
        
        if st.button("🔄 重置状态", type="secondary"):
            for key in list(st.session_state.keys()):
                if key != "view_mode": del st.session_state[key]
            st.rerun()

# ============================================================
# Helper Functions
# ============================================================
def _record_metrics(project_id: str, patch: dict):
    """Persist lightweight timing/diagnostic metrics into project.product_info['_metrics']."""
    if not project_id or not isinstance(patch, dict) or not patch:
        return
    try:
        proj = db.get_project(project_id) or {}
        product_info = proj.get("product_info") or {}
        metrics = product_info.get("_metrics") if isinstance(product_info.get("_metrics"), dict) else {}
        metrics.update(patch)
        metrics["updated_at"] = time.time()
        product_info["_metrics"] = metrics
        db.update_project_product_info(project_id, product_info)
    except Exception:
        # metrics must never break UX
        pass


def _get_metrics(project_id: str) -> dict:
    try:
        proj = db.get_project(project_id) or {}
        product_info = proj.get("product_info") or {}
        m = product_info.get("_metrics")
        return m if isinstance(m, dict) else {}
    except Exception:
        return {}

def save_uploaded_file(project_id: str, uploaded_file):
    """Save uploaded file to per-project upload dir (avoid overwrites across projects)."""
    if uploaded_file is None:
        return None
    if not project_id:
        raise ValueError("project_id is required to save uploaded files safely")
    upload_dir = path_utils.project_upload_dir(project_id)
    original = path_utils.sanitize_filename(getattr(uploaded_file, "name", "upload"))
    # keep original stem for readability, but ensure uniqueness
    suffix = Path(original).suffix.lstrip(".") or "bin"
    stem = Path(original).stem or "upload"
    unique_name = path_utils.unique_filename(prefix=f"upload_{stem}", ext=suffix, project_id=project_id)
    file_path = upload_dir / unique_name
    with open(file_path, "wb") as f:
        f.write(uploaded_file.getbuffer())
    return str(file_path)

# ============================================================
# Main Content: Workspace
# ============================================================
if st.session_state.view_mode == "workspace":
    st.header("商品短视频自动生成控制台")

    # --- Step 1: Input ---
    with st.expander("📦 1. 商品信息输入", expanded=(st.session_state.current_step == 0)):
        # 从 session_state 读取已加载项目的信息，否则使用默认值
        loaded_info = st.session_state.get("loaded_product_info", {})
        default_name = st.session_state.get("loaded_product_name", "网红气质大号发量多!高马尾香蕉夹")
        default_category = loaded_info.get("category", "钟表配饰-时尚饰品-发饰")
        default_price = loaded_info.get("price", "3.99元")
        default_tags = loaded_info.get("tags", "回头客|款式好看|材质好|尺寸合适|颜色好看|很好用|做工好|质感不错|很牢固")
        default_params = loaded_info.get("params", "金属材质:非金属; 非金属材质:树脂; 发夹分类:香蕉夹")
        
        col1, col2 = st.columns([1, 1])
        
        with col1:
            product_name = st.text_input("商品标题", value=default_name)
            category = st.text_input("商品类目", value=default_category)
            price = st.text_input("价格", value=default_price)
            
        with col2:
            tags = st.text_area("评价标签 (用于提炼卖点)", value=default_tags, height=100)
            params = st.text_area("商品参数", value=default_params, height=100)

        # 商家自定义风格提示
        style_hint = st.text_area(
            "商品视频重点增强提示 (可选)", 
            value=loaded_info.get("style_hint", ""),
            placeholder="例如：韩风、高级感、活力青春、简约日系...",
            height=80
        )

        st.markdown("### 上传素材")
        
        # 显示已有的上传图片（如果从历史项目加载）
        if st.session_state.uploaded_images:
            st.info(f"已有 {len(st.session_state.uploaded_images)} 张参考图片")
            with st.expander("查看已有图片"):
                img_cols = st.columns(min(len(st.session_state.uploaded_images), 4))
                for i, img_path in enumerate(st.session_state.uploaded_images[:4]):
                    if os.path.exists(img_path):
                        img_cols[i % 4].image(img_path, width=150)
        
        uploaded_files = st.file_uploader("上传商品主图 (建议 3-5 张)", type=['png', 'jpg', 'jpeg'], accept_multiple_files=True)
        
        # 允许在没有上传新图片但有历史图片的情况下继续
        can_submit = uploaded_files or st.session_state.uploaded_images
        
        # Model Selection (all support images; user explicitly chooses model)
        model_options = ["GPT-5.2", "Gemini 3 Pro", "Doubao Pro (Vision)"]
        selected_model_label = st.radio("选择脚本生成模型", model_options, horizontal=True, index=0)
        # Map label to provider key
        if selected_model_label == "GPT-5.2":
            model_provider = "shubiaobiao_gpt"
        elif "Doubao" in selected_model_label:
            model_provider = "doubao"
        else:
            model_provider = "shubiaobiao"
        
        if st.button("提交任务 & 生成脚本", type="primary", disabled=(not can_submit)):
            # 处理图片路径
            image_paths = list(st.session_state.uploaded_images) if st.session_state.uploaded_images else []
            
            # 如果有新上传的文件，添加它们
            if uploaded_files:
                # Create Project ID
                if not st.session_state.project_id:
                    st.session_state.project_id = f"PROJ-{int(time.time())}"
                    
                for uf in uploaded_files:
                    path = save_uploaded_file(st.session_state.project_id, uf)
                    if path: image_paths.append(path)
                    
            st.session_state.uploaded_images = image_paths
            
            # 确保有项目 ID
            if not st.session_state.project_id:
                st.session_state.project_id = f"PROJ-{int(time.time())}"
            
            # DB: Create Project
            # 将 uploaded_images 保存到 product_info 以便持久化
            product_info = {"category": category, "price": price, "tags": tags, "params": params, "style_hint": style_hint, "uploaded_images": image_paths}
            db.create_project(st.session_state.project_id, product_name, product_info)
            
            # Call Script Generator
            with st.spinner(f"正在分析商品信息并生成脚本 ({selected_model_label})..."):
                gen = ScriptGenerator()
                t0 = perf_counter()
                script = gen.generate_script(product_name, product_info, image_paths, model_provider=model_provider)
                _record_metrics(st.session_state.project_id, {
                    "script_gen_s": round(perf_counter() - t0, 3),
                    "script_model": model_provider,
                })
                
                if script:
                    st.session_state.script_data = script
                    # DB: Save Script
                    db.update_project_script(st.session_state.project_id, script)
                    
                    st.session_state.current_step = 1
                    st.success("脚本生成成功！")
                    st.rerun()
                else:
                    st.error("脚本生成失败，请检查日志。")

    # --- Step 2: Script Review ---
    if st.session_state.current_step >= 1:
        with st.expander("📝 2. 脚本分镜确认", expanded=(st.session_state.current_step == 1)):
            if st.session_state.script_data:
                script = st.session_state.script_data
                
                # Display Basic Info (兼容 legacy schema)
                selling_points = script.get("selling_points", []) or []
                target_audience = script.get("target_audience", "") or ""
                analysis_text = script.get("analysis", "") or ""
                legacy_schema = script.get("_legacy_schema", "") or ""

                c1, c2 = st.columns(2)
                if selling_points:
                    c1.write(f"**核心卖点**: {', '.join(selling_points)}")
                else:
                    c1.write("**核心卖点**: (legacy 项目可能未生成该字段)")
                    if analysis_text:
                        with st.expander("查看 legacy analysis（用于补齐信息）"):
                            st.write(analysis_text)

                if target_audience:
                    c2.write(f"**目标人群**: {target_audience}")
                else:
                    c2.write("**目标人群**: (legacy 项目可能未生成该字段)")

                # Hook / CTA / Schema
                hook = script.get("hook", "") or ""
                if hook:
                    st.markdown(f"**Hook**: {hook}")
                cta = script.get("cta", "")
                if cta:
                    if isinstance(cta, dict):
                        st.markdown("**CTA（legacy object）**")
                        st.json(cta)
                    else:
                        st.markdown(f"**CTA**: {cta}")
                if legacy_schema:
                    st.caption(f"Legacy Schema: {legacy_schema}")
                
                # Prompt Visualization
                if "_debug" in script:
                    with st.expander("🔍 查看 AI Prompt (Debug)"):
                        debug_info = script["_debug"]
                        st.markdown("**System Prompt:**")
                        st.code(debug_info.get("system_prompt", ""), language="markdown")
                        st.markdown("**User Prompt:**")
                        st.code(debug_info.get("user_prompt", ""), language="markdown")
                        
                        # 显示原始输出
                        if "raw_output" in debug_info:
                            st.markdown("**Raw AI Output:**")
                            st.code(debug_info.get("raw_output", ""), language="markdown")
                
                # Editable Scenes Table
                st.markdown("### 分镜列表")
                scenes = script.get("scenes", [])
                
                # Global Voiceover Timeline (New)
                st.markdown("### 🎙️ 整体旁白与字幕时间轴")
                with st.expander("编辑旁白时间轴 (Voiceover Timeline)", expanded=True):
                    timeline = script.get("voiceover_timeline", []) or []
                    if not timeline:
                        # 对于历史项目：如果没有 scenes 也没有 timeline，不要强行塞“示例旁白”，避免污染数据
                        if not scenes and analysis_text:
                            st.info("该历史项目暂无旁白时间轴（可能停留在分析/提问阶段）。")
                            timeline = []
                        else:
                            # Init with default if empty (使用秒)
                            timeline = [{"text": "示例旁白", "subtitle": "示例字幕", "start_time": 0.0, "duration": 3.0}]
                    
                    updated_timeline = []
                    for i, item in enumerate(timeline):
                        c1, c2, c3, c4 = st.columns([3, 3, 1, 1])
                        with c1:
                            item["text"] = st.text_input(f"旁白 #{i+1}", value=item.get("text", ""), key=f"tl_vo_{i}")
                        with c2:
                            item["subtitle"] = st.text_input(f"字幕 #{i+1}", value=item.get("subtitle", item.get("text", "")), key=f"tl_sub_{i}")
                        with c3:
                            # 兼容旧格式: 如果有 start_ratio 则转换为 start_time
                            default_start = item.get("start_time", item.get("start_ratio", 0) * 12)  # 假设总时长12秒
                            item["start_time"] = st.number_input(f"开始(秒) #{i+1}", value=float(default_start), min_value=0.0, max_value=30.0, step=0.5, key=f"tl_start_{i}")
                        with c4:
                            # 兼容旧格式: 如果有 duration_ratio 则转换为 duration
                            default_dur = item.get("duration", item.get("duration_ratio", 0.25) * 12)  # 假设总时长12秒
                            item["duration"] = st.number_input(f"时长(秒) #{i+1}", value=float(default_dur), min_value=0.5, max_value=15.0, step=0.5, key=f"tl_dur_{i}")
                        # 清理旧字段
                        item.pop("start_ratio", None)
                        item.pop("duration_ratio", None)
                        updated_timeline.append(item)
                        
                    if st.button("➕ 添加旁白段落"):
                        updated_timeline.append({"text": "", "subtitle": "", "start_time": 0.0, "duration": 3.0})
                        st.rerun()
                        
                    script["voiceover_timeline"] = updated_timeline

                updated_scenes = []
                for i, scene in enumerate(scenes):
                    with st.container():
                        st.markdown(f"#### 🎬 Scene {scene['id']}")
                        c_vis, c_aud = st.columns([2, 1])
                        
                        with c_vis:
                            new_visual = st.text_area(f"Visual Prompt (Scene {scene['id']})", value=scene.get("visual_prompt", ""), height=80, key=f"vp_{i}")
                            new_video = st.text_area(f"Video Prompt (Scene {scene['id']})", value=scene.get("video_prompt", ""), height=80, key=f"vidp_{i}")
                            scene["visual_prompt"] = new_visual
                            scene["video_prompt"] = new_video
                            
                        with c_aud:
                            # 花字编辑保留
                            ft = scene.get("fancy_text", {})
                            if isinstance(ft, dict):
                                new_ft_text = st.text_input(
                                    f"Fancy Text (Scene {scene['id']})",
                                    value=ft.get("text", ""),
                                    key=f"ft_{i}",
                                )
                                # 兼容：旧数据可能没有 fancy_text 字段
                                if not isinstance(scene.get("fancy_text"), dict):
                                    scene["fancy_text"] = {}
                                scene["fancy_text"]["text"] = new_ft_text
                            
                            # 旁白/字幕已移至上方整体时间轴，此处仅作展示或删除
                            st.caption("注：旁白与字幕已移至上方整体时间轴编辑")

                            # Legacy 信息展示（只读，用于调试/对齐）
                            legacy_scene = scene.get("_legacy", {}) if isinstance(scene.get("_legacy", {}), dict) else {}
                            if legacy_scene:
                                with st.expander(f"Legacy 信息 (Scene {scene['id']})", expanded=False):
                                    img_url = legacy_scene.get("image_url")
                                    if img_url:
                                        st.markdown(f"- image_url: `{img_url}`")
                                    cam = legacy_scene.get("camera_movement")
                                    if cam:
                                        st.markdown(f"- camera_movement: {cam}")
                                    vo = legacy_scene.get("voiceover")
                                    if vo:
                                        st.markdown(f"- voiceover: {vo}")
                                    keyframe = legacy_scene.get("keyframe")
                                    if keyframe:
                                        st.markdown("- keyframe:")
                                        st.json(keyframe)
                                    rhythm = legacy_scene.get("rhythm")
                                    if rhythm:
                                        st.markdown("- rhythm:")
                                        st.json(rhythm)
                        
                        updated_scenes.append(scene)
                        st.divider()
                
                st.session_state.script_data["scenes"] = updated_scenes
                
                col_act1, col_act2 = st.columns([1, 4])
                with col_act1:
                    if st.button("确认脚本 & 开始生图", type="primary"):
                        # DB: Update script in case user edited it
                        db.update_project_script(st.session_state.project_id, st.session_state.script_data)
                        st.session_state.current_step = 2
                        st.rerun()

    # --- Step 3: Image Generation ---
    if st.session_state.current_step >= 2:
        with st.expander("🎨 3. 画面生成", expanded=(st.session_state.current_step == 2)):
            
            # Debug: Show reference image
            if st.session_state.uploaded_images:
                with st.expander("🔍 查看生图参考底图 (Base Image)"):
                     for i, p in enumerate(st.session_state.uploaded_images):
                        st.info(f"图 {i+1} 文件名: {os.path.basename(p)}")
                        if os.path.exists(p):
                             st.image(p, width=200)
            else:
                st.warning("⚠️ 未检测到参考底图！将生成随机风格图像。建议在 Step 1 重新上传。")

            # Trigger Generation Button
            if not st.session_state.scene_images:
                # Model Selection for Image Gen
                img_model_options = ["Shubiaobiao (Gemini)", "Doubao (Volcengine)", "Gemini (Direct)", "Doubao (Group Image)"]
                selected_img_model = st.radio("选择生图模型", img_model_options, horizontal=True)
                
                # Map to provider
                if "Group Image" in selected_img_model:
                    img_provider = "doubao-group"
                elif "Doubao" in selected_img_model:
                    img_provider = "doubao"
                elif "Direct" in selected_img_model:
                    img_provider = "gemini"
                else:
                    img_provider = "shubiaobiao"
                
                # Store selected provider for regeneration
                st.session_state.selected_img_provider = img_provider

                if st.button("🚀 执行 AI 生图", type="primary"):
                    with limits.acquire_image(blocking=False) as ok:
                        if not ok:
                            st.warning("系统正在生成其他任务（生图并发已达上限），请稍后再试。")
                            st.stop()
                        img_gen = ImageGenerator()
                        # Pass ALL uploaded images as reference
                        base_imgs = st.session_state.uploaded_images if st.session_state.uploaded_images else []
                    
                    if not base_imgs: 
                        st.error("No base image found (未找到参考底图). Please upload in Step 1.")
                        st.stop()
                    
                    scenes = st.session_state.script_data.get("scenes", [])
                    
                    # 读取 visual_anchor 用于保持生图一致性
                    visual_anchor = st.session_state.script_data.get("visual_anchor", "")
                    
                    if img_provider == "doubao-group":
                         # --- Group Generation Logic ---
                         with st.spinner("正在进行 Doubao 组图生成 (Batch Group Generation)..."):
                             try:
                                 t0 = perf_counter()
                                 results = img_gen.generate_group_images_doubao(
                                     scenes=scenes,
                                     reference_images=base_imgs,
                                     visual_anchor=visual_anchor,
                                     project_id=st.session_state.project_id
                                 )
                                 _record_metrics(st.session_state.project_id, {
                                     "image_gen_total_s": round(perf_counter() - t0, 3),
                                     "image_provider": img_provider,
                                     "image_generated": len(results),
                                 })
                                 
                                 for s_id, path in results.items():
                                     st.session_state.scene_images[s_id] = path
                                     db.save_asset(st.session_state.project_id, s_id, "image", "completed", local_path=path)
                                 
                                 if len(results) == len(scenes):
                                     st.success("组图生成完成！")
                                     db.update_project_status(st.session_state.project_id, "images_generated")
                                     time.sleep(1)
                                     st.rerun()
                                 else:
                                     st.warning(f"部分图片生成失败: {len(results)}/{len(scenes)}")
                                     st.rerun()
                                     
                             except Exception as e:
                                 st.error(f"组图生成失败: {e}")
                    else:
                        # --- Parallel Logic (default): only merchant uploaded images as references ---
                        total_scenes = len(scenes)
                        progress_bar = st.progress(0)
                        status_text = st.empty()

                        try:
                            t0 = perf_counter()
                            # Parallel workers within a single run; global semaphore already acquired above.
                            max_workers = 6
                            futures = {}
                            with ThreadPoolExecutor(max_workers=max_workers) as ex:
                                for idx, scene in enumerate(scenes):
                                    scene_id = scene["id"]
                                    futures[ex.submit(
                                        img_gen.generate_single_scene_image,
                                        scene=scene,
                                        original_image_path=list(base_imgs),  # ONLY merchant images
                                        previous_image_path=None,
                                        model_provider=img_provider,
                                        visual_anchor=visual_anchor,
                                        project_id=st.session_state.project_id,
                                    )] = (idx, scene_id)

                                done = 0
                                for fut in as_completed(futures):
                                    idx, scene_id = futures[fut]
                                    done += 1
                                    status_text.text(f"已完成 {done}/{total_scenes}（Scene {scene_id}）")
                                    try:
                                        img_path = fut.result()
                                    except Exception as e:
                                        img_path = None
                                        st.warning(f"Scene {scene_id} 生成失败：{e}")

                                    if img_path:
                                        st.session_state.scene_images[scene_id] = img_path
                                        db.save_asset(st.session_state.project_id, scene_id, "image", "completed", local_path=img_path)

                                    progress_bar.progress(done / total_scenes)
                            
                            status_text.text("生图完成！")
                            st.success("生图完成！")
                            _record_metrics(st.session_state.project_id, {
                                "image_gen_total_s": round(perf_counter() - t0, 3),
                                "image_provider": img_provider,
                                "image_generated": len(st.session_state.scene_images),
                            })
                            # Update Status
                            db.update_project_status(st.session_state.project_id, "images_generated")
                            time.sleep(1)
                            st.rerun()
                            
                        except PermissionError as e:
                            st.error(f"生图服务拒绝访问 (可能余额不足): {e}")
                        except Exception as e:
                            st.error(f"生图发生错误: {e}")
            
            # Display & Regenerate Images
            if st.session_state.scene_images:
                cols = st.columns(4)
                scenes = st.session_state.script_data.get("scenes", [])
                
                for i, scene in enumerate(scenes):
                    scene_id = scene["id"]
                    img_path = st.session_state.scene_images.get(scene_id)
                    
                    with cols[i % 4]:
                        st.markdown(f"**Scene {scene_id}**")
                        
                        # Expand Prompt info
                        with st.expander("Prompt", expanded=False):
                            st.caption(scene.get("visual_prompt", "No prompt"))
                            
                        if img_path and os.path.exists(img_path):
                            st.image(img_path, width=None, use_column_width=True) # Fix deprecated
                        else:
                            st.error("Image missing")
                            
                        # Regenerate specific image
                        if st.button(f"🔄 重生 S{scene_id}", key=f"regen_img_{scene_id}"):
                            if not st.session_state.uploaded_images:
                                st.error("缺少参考底图，请在 Step 1 重新上传图片")
                            else:
                                with st.spinner(f"正在重绘 Scene {scene_id}..."):
                                    img_gen = ImageGenerator()
                                    # Only merchant uploaded images as references (no chaining)
                                    current_refs_for_regen = list(st.session_state.uploaded_images)
                                    
                                    # Fallback to single mode for regen if group was used
                                    provider = st.session_state.get("selected_img_provider", "shubiaobiao")
                                    if provider == "doubao-group": provider = "doubao"
                                    
                                    # 读取 visual_anchor
                                    regen_visual_anchor = st.session_state.script_data.get("visual_anchor", "")

                                    new_path = img_gen.generate_single_scene_image(
                                        scene=scene,
                                        original_image_path=current_refs_for_regen,
                                        previous_image_path=None, 
                                        model_provider=provider,
                                        visual_anchor=regen_visual_anchor,
                                        project_id=st.session_state.project_id
                                    )
                                    if new_path:
                                        st.session_state.scene_images[scene_id] = new_path
                                        db.save_asset(st.session_state.project_id, scene_id, "image", "completed", local_path=new_path)
                                        st.rerun()

                if st.button("下一步：生成视频", type="primary"):
                    st.session_state.current_step = 3
                    st.rerun()

    # --- Step 4: Video Generation ---
    if st.session_state.current_step >= 3:
        with st.expander("🎥 4. 视频生成 (Volcengine I2V)", expanded=(st.session_state.current_step == 3)):
            
            scenes = st.session_state.script_data.get("scenes", [])
            vid_gen = VideoGenerator()

            # Submit-only (non-blocking) to avoid freezing Streamlit under concurrency
            if st.button("🎬 提交图生视频任务（非阻塞）", type="primary"):
                with limits.acquire_video(blocking=False) as ok:
                    if not ok:
                        st.warning("系统正在处理其他视频任务（并发已达上限），请稍后再试。")
                        st.stop()
                    t0 = perf_counter()
                    submitted = 0
                    for scene in scenes:
                        scene_id = scene["id"]
                        image_path = st.session_state.scene_images.get(scene_id)
                        prompt = scene.get("video_prompt", "High quality video")
                        task_id = vid_gen.submit_scene_video_task(
                            st.session_state.project_id, scene_id, image_path, prompt
                        )
                        if task_id:
                            submitted += 1
                    _record_metrics(st.session_state.project_id, {
                        "video_submit_s": round(perf_counter() - t0, 3),
                        "video_submitted": submitted,
                    })
                    if submitted:
                        db.update_project_status(st.session_state.project_id, "videos_processing")
                        st.success(f"已提交 {submitted} 个分镜视频任务。可点击下方“刷新恢复”下载结果。")
                        time.sleep(0.5)
                        st.rerun()
                    else:
                        st.warning("未提交任何任务（可能缺少图片或接口失败）。")

            if st.button("🔄 刷新状态并恢复已完成任务", type="secondary"):
                with limits.acquire_video(blocking=False) as ok:
                    if not ok:
                        st.warning("系统正在处理其他视频任务（并发已达上限），请稍后再试。")
                        st.stop()
                    t0 = perf_counter()
                    updated = 0
                    for scene in scenes:
                        scene_id = scene["id"]
                        asset = db.get_asset(st.session_state.project_id, scene_id, "video")
                        if not asset or not asset.get("task_id"):
                            continue
                        # if already have local video, skip
                        existing = st.session_state.scene_videos.get(scene_id)
                        if existing and os.path.exists(existing):
                            continue
                        task_id = asset.get("task_id")
                        # Query volc status; store URL for direct preview (no server download)
                        status = None
                        url = None
                        # short retries for "succeeded but url missing"
                        for attempt in range(3):
                            status, url = vid_gen.check_task_status(task_id)
                            if status == "succeeded" and url:
                                break
                            time.sleep(0.5 * (2 ** attempt))

                        meta_patch = {"checked_at": time.time(), "volc_status": status}
                        if url:
                            meta_patch["video_url"] = url
                        db.update_asset_metadata(st.session_state.project_id, scene_id, "video", meta_patch)
                        updated += 1

                    _record_metrics(st.session_state.project_id, {
                        "video_recover_s": round(perf_counter() - t0, 3),
                        "video_recovered": updated,
                    })
                    if updated:
                        st.success(f"已刷新 {updated} 个分镜状态（成功的将以 URL 直连预览）。")
                    else:
                        st.info("暂无可恢复的视频（可能仍在排队/生成中）。")
                    time.sleep(0.5)
                    st.rerun()

            if st.button("📥 准备合成素材（下载成功的视频到服务器）", type="secondary"):
                with limits.acquire_video(blocking=False) as ok:
                    if not ok:
                        st.warning("系统正在处理其他视频任务（并发已达上限），请稍后再试。")
                        st.stop()
                    downloaded = 0
                    for scene in scenes:
                        scene_id = scene["id"]
                        existing = st.session_state.scene_videos.get(scene_id)
                        if existing and os.path.exists(existing):
                            continue
                        asset = db.get_asset(st.session_state.project_id, scene_id, "video")
                        meta = (asset or {}).get("metadata") or {}
                        video_url = meta.get("video_url")
                        if not video_url:
                            continue
                        out_name = path_utils.unique_filename(
                            prefix="scene_video",
                            ext="mp4",
                            project_id=st.session_state.project_id,
                            scene_id=scene_id,
                        )
                        target_path = str(path_utils.project_videos_dir(st.session_state.project_id) / out_name)
                        if vid_gen._download_video_to(video_url, target_path):
                            st.session_state.scene_videos[scene_id] = target_path
                            db.save_asset(st.session_state.project_id, scene_id, "video", "completed", local_path=target_path, task_id=(asset or {}).get("task_id"), metadata=meta)
                            downloaded += 1
                    if downloaded:
                        st.success(f"已下载 {downloaded} 段视频，可进入合成。")
                    else:
                        st.info("暂无可下载的视频（请先刷新状态获取 video_url）。")
                    time.sleep(0.5)
                    st.rerun()
            
            # Display Videos (even when partially available)
            if st.session_state.scene_videos or scenes:
                cols = st.columns(4)
                
                for i, scene in enumerate(scenes):
                    scene_id = scene["id"]
                    vid_path = st.session_state.scene_videos.get(scene_id)
                    
                    with cols[i % 4]:
                        st.markdown(f"**Scene {scene_id}**")
                        # Expand Prompt info
                        with st.expander("Prompt", expanded=False):
                            st.caption(scene.get("video_prompt", "No prompt"))
                            
                        if vid_path and os.path.exists(vid_path):
                            st.video(vid_path)
                        else:
                            # Try URL preview from DB metadata
                            asset = db.get_asset(st.session_state.project_id, scene_id, "video")
                            meta = (asset or {}).get("metadata") or {}
                            video_url = meta.get("video_url")
                            if video_url:
                                st.caption("URL 直连预览（不经服务器落盘）")
                                st.video(video_url)
                            else:
                                st.warning("Video missing")
                            # --- Recovery Logic ---
                            if asset and asset.get("task_id"):
                                 task_id = asset.get("task_id")
                                 if st.button(f"🔍 刷新URL (Task {task_id[-6:]})", key=f"recov_{scene_id}"):
                                     with st.spinner("查询任务状态中..."):
                                         status, url = vid_gen.check_task_status(task_id)
                                         patch = {"checked_at": time.time(), "volc_status": status}
                                         if url:
                                             patch["video_url"] = url
                                         db.update_asset_metadata(st.session_state.project_id, scene_id, "video", patch)
                                         st.success("已刷新任务状态。")
                                         st.rerun()
                            
                        # Per-scene regenerate button
                        if st.button(f"🔄 重生 S{scene_id}", key=f"regen_vid_{scene_id}"):
                            with st.spinner(f"正在重生成 Scene {scene_id} 视频..."):
                                vid_gen = VideoGenerator()
                                img_path = st.session_state.scene_images.get(scene_id)
                                if img_path and os.path.exists(img_path):
                                    t_id = vid_gen.submit_scene_video_task(st.session_state.project_id, scene_id, img_path, scene.get("video_prompt"))
                                    if t_id:
                                        # Simple poll loop for single video regen
                                        import time
                                        for _ in range(60):
                                            status, url = vid_gen.check_task_status(t_id)
                                            if status == "succeeded":
                                                new_path = vid_gen._download_video(url, f"scene_{scene_id}_video_{int(time.time())}.mp4")
                                                if new_path:
                                                    st.session_state.scene_videos[scene_id] = new_path
                                                    db.save_asset(st.session_state.project_id, scene_id, "video", "completed", local_path=new_path, task_id=t_id)
                                                    st.rerun()
                                                break
                                            elif status in ["failed", "cancelled"]:
                                                st.error(f"生成失败: {status}")
                                                break
                                            time.sleep(5)
                                    else:
                                        st.error("提交任务失败")
                                else:
                                    st.error("缺少源图片")
                
                c_act1, c_act2 = st.columns([1, 4])
                with c_act1:
                     if st.button("🔄 重新生成所有视频", type="secondary"):
                        # Clear videos and rerun
                        st.session_state.scene_videos = {}
                        st.rerun()
                        
                with c_act2:
                    if st.button("下一步：合成最终成片", type="primary"):
                        st.session_state.current_step = 4
                        st.rerun()

    # --- Step 5: Final Composition & Tuning ---
    if st.session_state.current_step >= 4:
        with st.expander("🎞️ 5. 合成结果与微调", expanded=(st.session_state.current_step == 4)):
            
            # Tabs: Preview vs Tuning
            tab_preview, tab_tune = st.tabs(["🎥 预览", "🎛️ 微调 (Track Editor)"])
            
            with tab_tune:
                st.subheader("轨道微调 (Tuning)")
                
                # Global Settings
                col_g1, col_g2 = st.columns(2)
                with col_g1:
                    # BGM Select (支持 .mp3 和 .mp4)
                    bgm_dir = config.ASSETS_DIR / "bgm"
                    bgm_files = list(bgm_dir.glob("*.[mM][pP][34]")) + list(bgm_dir.glob("*.[mM][pP]3"))
                    bgm_files = [f for f in bgm_files if f.is_file() and not f.name.startswith('.')]
                    bgm_names = [f.name for f in bgm_files]
                    
                    # 智能推荐默认 BGM
                    bgm_style = st.session_state.script_data.get("bgm_style", "")
                    recommended_bgm = match_bgm_by_style(bgm_style, bgm_dir)
                    default_idx = 0
                    if recommended_bgm:
                        rec_name = Path(recommended_bgm).name
                        if rec_name in bgm_names:
                            default_idx = bgm_names.index(rec_name) + 1  # +1 因为有 "None" 选项
                    
                    selected_bgm = st.selectbox(
                        f"背景音乐 (BGM) - 推荐风格: {bgm_style or '未指定'}", 
                        ["None"] + bgm_names,
                        index=default_idx
                    )
                    # 明确提示：BGM 目录为空或选中 BGM 不存在时，本次将不含 BGM
                    if not bgm_names:
                        st.warning(f"BGM 目录为空：{bgm_dir}（本次合成将不含 BGM）")
                    elif selected_bgm != "None":
                        candidate = config.ASSETS_DIR / "bgm" / selected_bgm
                        if not candidate.exists():
                            st.warning(f"所选 BGM 文件不存在：{candidate}（本次合成将不含 BGM）")
                with col_g2:
                    # Voice Select
                    selected_voice = st.selectbox("配音音色 (TTS)", [config.VOLC_TTS_DEFAULT_VOICE, "zh_female_meilinvyou_saturn_bigtts"])
                
                st.divider()
                
                # Global Timeline Editor
                st.markdown("### 🎙️ 旁白与字幕时间轴 (单位: 秒)")
                timeline = st.session_state.script_data.get("voiceover_timeline", [])
                updated_timeline = []
                for i, item in enumerate(timeline):
                    c1, c2, c3, c4 = st.columns([3, 3, 1, 1])
                    with c1:
                        item["text"] = st.text_input(f"旁白 #{i+1}", value=item.get("text", ""), key=f"tune_vo_{i}")
                    with c2:
                        item["subtitle"] = st.text_input(f"字幕 #{i+1}", value=item.get("subtitle", item.get("text", "")), key=f"tune_sub_{i}")
                    with c3:
                        # 兼容旧格式: 如果有 start_ratio 则转换为 start_time
                        default_start = item.get("start_time", item.get("start_ratio", 0) * 12)
                        item["start_time"] = st.number_input(f"开始(秒) #{i+1}", value=float(default_start), min_value=0.0, max_value=30.0, step=0.5, key=f"tune_start_{i}")
                    with c4:
                        # 兼容旧格式: 如果有 duration_ratio 则转换为 duration
                        default_dur = item.get("duration", item.get("duration_ratio", 0.25) * 12)
                        item["duration"] = st.number_input(f"时长(秒) #{i+1}", value=float(default_dur), min_value=0.5, max_value=15.0, step=0.5, key=f"tune_dur_{i}")
                    # 清理旧字段
                    item.pop("start_ratio", None)
                    item.pop("duration_ratio", None)
                    updated_timeline.append(item)
                
                st.session_state.script_data["voiceover_timeline"] = updated_timeline
                
                st.divider()
                
                # Per Scene Editor (Only Fancy Text)
                scenes = st.session_state.script_data.get("scenes", [])
                updated_scenes = []
                
                for i, scene in enumerate(scenes):
                    with st.container():
                        st.markdown(f"**Scene {scene['id']}**")
                        ft = scene.get("fancy_text", {})
                        ft_text = ft.get("text", "") if isinstance(ft, dict) else ""
                        new_ft = st.text_input(f"花字", value=ft_text, key=f"tune_ft_{i}")
                        # 兼容：旧数据可能没有 fancy_text 字段
                        if not isinstance(scene.get("fancy_text"), dict):
                            scene["fancy_text"] = {}
                        scene["fancy_text"]["text"] = new_ft
                        
                        updated_scenes.append(scene)
                
                st.session_state.script_data["scenes"] = updated_scenes
                
                if st.button("🔄 重新合成 (Re-Compose)", type="primary"):
                    with st.spinner("正在应用修改并重新合成..."):
                        composer = VideoComposer(voice_type=selected_voice)
                        
                        bgm_path = None
                        if selected_bgm != "None":
                            bgm_path = str(config.ASSETS_DIR / "bgm" / selected_bgm)
                        
                        try:
                            # Save updated script first
                            db.update_project_script(st.session_state.project_id, st.session_state.script_data)
                            
                            t0 = perf_counter()
                            output_path = composer.compose_from_script(
                                script=st.session_state.script_data,
                                video_map=st.session_state.scene_videos,
                                bgm_path=bgm_path,
                                output_name=f"final_{st.session_state.project_id}_{int(time.time())}", # Unique name for history
                                project_id=st.session_state.project_id,
                            )
                            _record_metrics(st.session_state.project_id, {
                                "compose_s": round(perf_counter() - t0, 3),
                                "bgm_used": bool(bgm_path and Path(bgm_path).exists()),
                            })
                            st.session_state.final_video = output_path
                            db.save_asset(st.session_state.project_id, 0, "final_video", "completed", local_path=output_path)
                            
                            st.success("重新合成成功！")
                            st.rerun()
                        except Exception as e:
                            st.error(f"合成失败: {e}")

            with tab_preview:
                st.subheader("🛠️ 导出与交付")
                
                col_ex1, col_ex2 = st.columns([1, 2])
                with col_ex1:
                    if st.button("📦 生成剪映素材包 (ZIP)", type="primary", key="btn_export_zip"):
                         with st.spinner("正在打包视频、音频与字幕..."):
                             try:
                                 zip_path = export_utils.create_capcut_package(
                                     st.session_state.project_id,
                                     st.session_state.script_data,
                                     {"scene_videos": st.session_state.scene_videos}
                                 )
                                 st.session_state['export_zip_path'] = zip_path
                                 st.success("打包完成！请点击下载")
                             except Exception as e:
                                 st.error(f"打包失败: {e}")
                
                with col_ex2:
                    if 'export_zip_path' in st.session_state and os.path.exists(st.session_state['export_zip_path']):
                        zip_name = f"capcut_pack_{st.session_state.project_id}.zip"
                        with open(st.session_state['export_zip_path'], "rb") as f:
                            st.download_button(
                                label=f"📥 点击下载素材包 ({zip_name})",
                                data=f,
                                file_name=zip_name,
                                mime="application/zip"
                            )
                st.divider()

                # 扫描所有历史合成版本
                import glob
                
                # 查找匹配当前项目的所有最终视频
                pattern_timestamp = str(config.OUTPUT_DIR / f"final_{st.session_state.project_id}_*.mp4")
                pattern_simple = str(config.OUTPUT_DIR / f"final_{st.session_state.project_id}.mp4")
                
                found_files = []
                for f in glob.glob(pattern_timestamp):
                    found_files.append(f)
                for f in glob.glob(pattern_simple):
                    if f not in found_files:
                        found_files.append(f)
                
                # 按修改时间倒序排列
                found_files.sort(key=os.path.getmtime, reverse=True)
                
                if not found_files:
                    st.info("暂无合成视频，请先点击开始合成。")
                    if st.button("✨ 开始首次合成", type="primary"):
                        with st.spinner("正在进行多轨合成..."):
                            # Default compose logic with smart BGM matching
                            composer = VideoComposer(voice_type=config.VOLC_TTS_DEFAULT_VOICE)
                            
                            # 智能匹配 BGM：根据脚本 bgm_style 匹配
                            bgm_style = st.session_state.script_data.get("bgm_style", "")
                            bgm_path = match_bgm_by_style(bgm_style, config.ASSETS_DIR / "bgm")
                            if bgm_path and not Path(bgm_path).exists():
                                st.warning(f"推荐的 BGM 文件不存在：{bgm_path}（本次将不含 BGM）")
                                bgm_path = None
                            
                            try:
                                # 首次合成也加上时间戳
                                output_name = f"final_{st.session_state.project_id}_{int(time.time())}"
                                t0 = perf_counter()
                                output_path = composer.compose_from_script(
                                    script=st.session_state.script_data,
                                    video_map=st.session_state.scene_videos,
                                    bgm_path=bgm_path,
                                    output_name=output_name,
                                    project_id=st.session_state.project_id,
                                )
                                _record_metrics(st.session_state.project_id, {
                                    "compose_s": round(perf_counter() - t0, 3),
                                    "bgm_used": bool(bgm_path and Path(bgm_path).exists()),
                                })
                                st.session_state.final_video = output_path
                                db.save_asset(st.session_state.project_id, 0, "final_video", "completed", local_path=output_path)
                                db.update_project_status(st.session_state.project_id, "completed")
                                st.rerun()
                            except Exception as e:
                                st.error(f"合成失败: {e}")
                
                else:
                    st.success(f"共找到 {len(found_files)} 个历史版本")
                    
                    # 遍历显示所有历史版本
                    for idx, vid_path in enumerate(found_files):
                        mtime = os.path.getmtime(vid_path)
                        time_str = time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(mtime))
                        file_name = os.path.basename(vid_path)
                        
                        # 容器样式
                        with st.container():
                            if idx == 0:
                                st.markdown(f"### 🟢 最新版本 ({time_str})")
                            else:
                                st.markdown(f"#### ⚪ 历史版本 {len(found_files)-idx} ({time_str})")
                            
                            c1, c2, c3 = st.columns([1, 2, 1])
                            with c2:
                                st.video(vid_path)
                                
                                # 下载按钮
                                with open(vid_path, "rb") as file:
                                    st.download_button(
                                        label=f"📥 下载 ({file_name})",
                                        data=file,
                                        file_name=file_name,
                                        mime="video/mp4",
                                        key=f"dl_btn_{file_name}"
                                    )
                            st.divider()

# ============================================================
# Page: History (New)
# ============================================================
elif st.session_state.view_mode == "history":
    st.header("📜 历史任务")
    
    projects = db.list_projects()
    
    for proj in projects:
        with st.expander(f"{proj['name']} ({proj['updated_at']})"):
            st.caption(f"ID: {proj['id']} | Status: {proj.get('status', 'unknown')}")
            
            assets = db.get_assets(proj['id'])
            
            if assets:
                st.markdown("#### 📥 下载素材")
                
                # Group assets
                final_vids = [a for a in assets if a['asset_type'] == 'final_video']
                scene_imgs = [a for a in assets if a['asset_type'] == 'image']
                scene_vids = [a for a in assets if a['asset_type'] == 'video']
                
                # Final Video Download
                if final_vids:
                    fv = final_vids[0]
                    if fv['local_path'] and os.path.exists(fv['local_path']):
                        st.success(f"✅ **最终成片已生成**")
                        with open(fv['local_path'], "rb") as f:
                            st.download_button(
                                label=f"📥 下载最终成片 ({os.path.basename(fv['local_path'])})",
                                data=f,
                                file_name=os.path.basename(fv['local_path']),
                                mime="video/mp4"
                            )
                            
                # Script Download
                if proj.get("script_data"):
                    try:
                        script_json = json.dumps(proj["script_data"] if isinstance(proj["script_data"], dict) else json.loads(proj["script_data"]), ensure_ascii=False, indent=2)
                        st.download_button(
                            label="📥 下载脚本/字幕配置 (JSON)",
                            data=script_json,
                            file_name=f"script_{proj['id']}.json",
                            mime="application/json"
                        )
                    except:
                        pass

                st.markdown("---")
                            
                c1, c2 = st.columns(2)
                with c1:
                    st.markdown("**分镜图片**")
                    for img in scene_imgs:
                        if img['local_path'] and os.path.exists(img['local_path']):
                            with open(img['local_path'], "rb") as f:
                                st.download_button(f"Scene {img['scene_id']} 图片", f, key=f"dl_img_{proj['id']}_{img['id']}", file_name=f"scene_{img['scene_id']}.png")
                
                with c2:
                    st.markdown("**分镜视频**")
                    for vid in scene_vids:
                        if vid['local_path'] and os.path.exists(vid['local_path']):
                            with open(vid['local_path'], "rb") as f:
                                st.download_button(f"Scene {vid['scene_id']} 视频", f, key=f"dl_vid_{proj['id']}_{vid['id']}", file_name=f"scene_{vid['scene_id']}.mp4")
            else:
                st.info("暂无生成素材")

# ============================================================
# Page: Settings (New)
# ============================================================
elif st.session_state.view_mode == "settings":
    st.header("⚙️ 设置配置")
    
    st.subheader("Prompt 配置")
    
    # Script Generation Prompt
    current_prompt = db.get_config("prompt_script_gen")
    
    # 显示当前状态
    if current_prompt:
        st.info("✅ 已加载自定义 Prompt（来自数据库）")
    else:
        st.warning("⚠️ 使用默认 Prompt（数据库中无自定义配置）")
        # Load default from instance if not in DB
        temp_gen = ScriptGenerator()
        current_prompt = temp_gen.default_system_prompt
        
    new_prompt = st.text_area("脚本拆分 Prompt (System Prompt)", value=current_prompt, height=400)
    
    col_save, col_reset = st.columns([1, 3])
    with col_save:
        if st.button("💾 保存配置", type="primary"):
            db.set_config("prompt_script_gen", new_prompt, "System prompt for script generation step")
            # 验证保存
            saved = db.get_config("prompt_script_gen")
            if saved == new_prompt:
                st.success("✅ 配置已保存并验证成功！下次生成脚本时将使用新 Prompt。")
            else:
                st.error("❌ 保存可能失败，请检查日志")
    
    with col_reset:
        if st.button("🔄 恢复默认"):
            temp_gen = ScriptGenerator()
            db.set_config("prompt_script_gen", temp_gen.default_system_prompt, "System prompt for script generation step (DEFAULT)")
            st.success("已恢复默认 Prompt，请刷新页面查看")
            st.rerun()