"""
AI 垃圾分类助手 - 高级 Gradio UI 版本
特点：
1. 缩略图显示
2. 点击查看原图
3. Tabs 分区布局
4. 排行榜折叠
5. 更现代化卡片式 UI
6. 更清晰的视觉层级
"""

import base64
from PIL import Image

# HEIC 支持
try:
    import pillow_heif
    pillow_heif.register_heif_opener()
    HEIF_SUPPORT = True
except Exception:
    HEIF_SUPPORT = False
import random
import gradio as gr
from knowledge import get_class_info
from database import Database

# 数据库
# --------------------------------------------------
db = Database()

# 分类器懒加载
_classifier = None
TEMP_IMG = "temp_upload.jpg"


# --------------------------------------------------
# 模型加载
# --------------------------------------------------
def get_classifier():
    global _classifier

    if _classifier is None:
        from predict import GarbageClassifier
        _classifier = GarbageClassifier()

    return _classifier


# --------------------------------------------------
# 图片转 base64
# --------------------------------------------------
def make_img_data_uri(path):
    with open(path, "rb") as f:
        return (
            "data:image/jpeg;base64,"
            + base64.b64encode(f.read()).decode()
        )


# --------------------------------------------------
# 主识别逻辑
# --------------------------------------------------
def classify_and_advise(image, username="default"):

    if image is None:
        return (
            """
            <div class='empty-card'>
                <h2>⚠️ 未检测到图片</h2>
                <p>请先上传一张垃圾图片</p>
            </div>
            """,
            "",
            ""
        )

    # 加载模型
    try:
        classifier = get_classifier()

    except FileNotFoundError as e:
        return (
            f"""
            <div class='error-card'>
                <h2>❌ 模型未训练</h2>
                <p>{e}</p>
                <p>请先运行:</p>
                <code>python main.py train</code>
            </div>
            """,
            "",
            ""
        )

    # 推理
    try:
        # 自动兼容 HEIC / HEIF
        if isinstance(image, str):

            if image.lower().endswith((".heic", ".heif")):

                if not HEIF_SUPPORT:
                    raise RuntimeError(
                        "未安装 pillow-heif，请执行: pip install pillow-heif"
                    )

                heif_file = pillow_heif.read_heif(image)

                image = Image.frombytes(
                    heif_file.mode,
                    heif_file.size,
                    heif_file.data,
                    "raw"
                )

            else:
                image = Image.open(image)

        img = image.convert("RGB")
        img.save(TEMP_IMG, "JPEG")

        results = classifier.predict(TEMP_IMG)

        best = results[0]

        info = get_class_info(best["class_name"])

    except Exception as e:
        return (
            f"""
            <div class='error-card'>
                <h2>❌ 识别失败</h2>
                <p>{e}</p>
            </div>
            """,
            "",
            ""
        )

    # --------------------------------------------------
    # 用户记录
    # --------------------------------------------------
    user_id = db.register_user(username)

    points = db.add_record(
        user_id,
        best["class_name"],
        best["confidence"]
    )

    stats = db.get_user_stats(user_id)

    leaderboard = db.get_leaderboard(5)

    # --------------------------------------------------
    # 图片 data uri
    # --------------------------------------------------
    data_uri = make_img_data_uri(TEMP_IMG)

    modal_id = f"modal-{random.randint(10000,99999)}"

    # --------------------------------------------------
    # 结果卡片
    # --------------------------------------------------
    pct = best["confidence"] * 100

    progress_width = min(max(pct, 5), 100)

    if pct >= 80:
        result_color = "#2e7d32"
        result_bg = "#e8f5e9"

    elif pct >= 60:
        result_color = "#ef6c00"
        result_bg = "#fff3e0"

    else:
        result_color = "#c62828"
        result_bg = "#ffebee"

    result_html = f"""

    <div class='result-card'>

        <div class='thumb-wrapper'>

            <img
                src='{data_uri}'
                class='thumb-image'
                onclick="document.getElementById('{modal_id}').style.display='flex'"
            >

            <div class='thumb-text'>🔍 点击查看原图</div>

        </div>

        <div class='result-content'>

            <div class='result-label'>AI 识别结果</div>

            <div class='result-name' style='color:{result_color};'>
                {best['class_name_cn']}
            </div>

            <div class='result-category'>
                ♻️ {info['category'] if info else '未知分类'}
            </div>

            <div class='confidence-text'>
                识别置信度：{pct:.1f}%
            </div>

            <div class='progress-bar-bg'>
                <div
                    class='progress-bar-fill'
                    style='width:{progress_width}%;background:{result_color};'>
                </div>
            </div>

            <div class='score-badge'>
                🎉 获得 +{points} 环保积分
            </div>

        </div>

    </div>

    <!-- 原图弹窗 -->
    <div
        id='{modal_id}'
        class='image-modal'
        onclick="this.style.display='none'">

        <img src='{data_uri}' class='modal-image'>

        <div class='modal-close'>✕</div>

    </div>

    """

    # --------------------------------------------------
    # 投放指南
    # --------------------------------------------------
    disposal_html = (
        info["disposal"].replace("\n", "<br>")
        if info else "暂无信息"
    )

    tips_html = "".join(
        [f"<li>💡 {t}</li>" for t in info["tips"]]
    ) if info else ""

    knowledge_html = f"""

    <div class='knowledge-card'>

        <div class='knowledge-title'>
            📋 {info['name_cn']} 投放指南
        </div>

        <div class='knowledge-body'>
            {disposal_html}
        </div>

        <div class='tips-title'>💡 分类小贴士</div>

        <ul class='tips-list'>
            {tips_html}
        </ul>

        <div class='fun-fact'>
            🎯 {info['fun_fact']}
        </div>

        <div class='degradation'>
            ⏱ 降解时间：{info['degradation_time']}
        </div>

    </div>

    """

    # --------------------------------------------------
    # 排行榜
    # --------------------------------------------------
    leaderboard_html = ""

    for i, user in enumerate(leaderboard):

        medal = ""

        if i == 0:
            medal = "🥇"
        elif i == 1:
            medal = "🥈"
        elif i == 2:
            medal = "🥉"
        else:
            medal = f"{i+1}."

        leaderboard_html += f"""
        <div class='leader-item'>
            <span>{medal} {user['username']}</span>
            <span>{user['total_points']} 分</span>
        </div>
        """

    stats_html = f"""

    <div class='stats-card'>

        <div class='stats-title'>
            📊 {stats['username']} 的环保数据
        </div>

        <div class='stats-grid'>

            <div class='stat-box'>
                <div class='stat-number'>{stats['total_points']}</div>
                <div class='stat-label'>总积分</div>
            </div>

            <div class='stat-box'>
                <div class='stat-number'>{stats['total_classifications']}</div>
                <div class='stat-label'>分类次数</div>
            </div>

            <div class='stat-box'>
                <div class='stat-number'>{stats['today']['points']}</div>
                <div class='stat-label'>今日积分</div>
            </div>

        </div>

        <div class='leaderboard-title'>🏆 环保排行榜 TOP5</div>

        <div class='leaderboard-list'>
            {leaderboard_html}
        </div>

    </div>

    """

    return result_html, knowledge_html, stats_html


# --------------------------------------------------
# CSS
# --------------------------------------------------
CSS = """

.gradio-container {
    width: 100% !important;
    max-width: 900px !important;
    margin: auto !important;
    overflow-x: hidden !important;
    margin: auto;
}

footer {
    display: none !important;
}

/* 标题 */
.main-title {
    text-align:center;
    padding: 10px 0 20px 0;
}

/* 提示标签 */
.class-badge {
    display:inline-block;
    padding:6px 14px;
    border-radius:20px;
    margin:4px;
    font-size:13px;
    font-weight:bold;
    background:#f1f8e9;
    border:1px solid #c5e1a5;
}

/* 上传区域 */
.upload-panel {
    width: 100%;
    max-width: 900px;
    margin: auto;
    background:white;
    border-radius:18px;
    padding:20px;
    box-shadow:0 4px 15px rgba(0,0,0,0.06);
}

/* 结果卡片 */
.result-card {
    box-sizing: border-box;
    width: 100%;
    max-width: 900px;
    margin: 10px auto 0 auto;
    display:flex;
    align-items:center;
    gap:20px;
    background:white;
    border-radius:20px;
    padding:20px;
    box-shadow:0 6px 18px rgba(0,0,0,0.08);
    margin-top:5px;
}

.thumb-wrapper {
    text-align:center;
    flex-shrink:0;
}

.thumb-image {
    max-width: 95px;
    min-width: 95px;
    width:95px;
    height:95px;
    object-fit:cover;
    border-radius:14px;
    cursor:pointer;
    border:3px solid #c8e6c9;
    transition:0.2s;
}

.thumb-image:hover {
    transform:scale(1.05);
}

.thumb-text {
    margin-top:6px;
    font-size:11px;
    color:#777;
}

.result-content {
    flex:1;
}

.result-label {
    color:#777;
    font-size:13px;
}

.result-name {
    font-size:34px;
    font-weight:800;
    margin:4px 0;
}

.result-category {
    font-size:15px;
    color:#555;
    margin-bottom:10px;
}

.confidence-text {
    font-size:13px;
    margin-bottom:6px;
    color:#666;
}

.progress-bar-bg {
    width:100%;
    height:10px;
    background:#eeeeee;
    border-radius:999px;
    overflow:hidden;
}

.progress-bar-fill {
    height:100%;
    border-radius:999px;
}

.score-badge {
    display:inline-block;
    margin-top:12px;
    padding:8px 14px;
    background:#fff3e0;
    border-radius:999px;
    color:#ef6c00;
    font-size:13px;
    font-weight:bold;
}

/* 投放指南 */
.knowledge-card {
    background:white;
    padding:22px;
    border-radius:18px;
    box-shadow:0 4px 15px rgba(0,0,0,0.06);
}

.knowledge-title {
    font-size:22px;
    font-weight:bold;
    color:#2e7d32;
    margin-bottom:15px;
}

.knowledge-body {
    background:#f8f9fa;
    padding:16px;
    border-radius:12px;
    line-height:1.8;
    font-size:15px;
}

.tips-title {
    margin-top:18px;
    font-size:17px;
    font-weight:bold;
    color:#ef6c00;
}

.tips-list {
    margin-top:8px;
    line-height:1.9;
}

.fun-fact {
    margin-top:15px;
    background:#fff8e1;
    padding:12px;
    border-radius:12px;
    color:#e65100;
    font-weight:bold;
}

.degradation {
    margin-top:10px;
    color:#777;
    font-size:13px;
}

/* 环保统计 */
.stats-card {
    background:white;
    padding:22px;
    border-radius:18px;
    box-shadow:0 4px 15px rgba(0,0,0,0.06);
}

.stats-title {
    font-size:22px;
    font-weight:bold;
    color:#1565c0;
    margin-bottom:20px;
}

.stats-grid {
    display:grid;
    grid-template-columns:repeat(3,1fr);
    gap:15px;
}

.stat-box {
    background:#f5f7fa;
    padding:18px;
    border-radius:14px;
    text-align:center;
}

.stat-number {
    font-size:28px;
    font-weight:bold;
    color:#1565c0;
}

.stat-label {
    margin-top:6px;
    color:#666;
    font-size:13px;
}

.leaderboard-title {
    margin-top:24px;
    font-size:18px;
    font-weight:bold;
    color:#2e7d32;
}

.leaderboard-list {
    margin-top:12px;
}

.leader-item {
    display:flex;
    justify-content:space-between;
    padding:12px 14px;
    background:#f8f9fa;
    border-radius:12px;
    margin-bottom:10px;
    font-size:14px;
}

/* 弹窗 */
.image-modal {
    display:none;
    position:fixed;
    top:0;
    left:0;
    width:100%;
    height:100%;
    background:rgba(0,0,0,0.92);
    z-index:99999;
    justify-content:center;
    align-items:center;
    cursor:pointer;
}

.modal-image {
    width: auto;
    height: auto;
    object-fit: contain;
    max-width:90%;
    max-height:90%;
    border-radius:10px;
    object-fit:contain;
}

.modal-close {
    position:absolute;
    top:20px;
    right:30px;
    color:white;
    font-size:36px;
    font-weight:bold;
}

/* 空卡片 */
.empty-card,
.error-card {
    text-align:center;
    padding:40px;
    background:white;
    border-radius:18px;
}

/* 手机端适配 */
@media (max-width:768px) {

    .result-card {
        flex-direction:column;
        text-align:center;
    }

    .stats-grid {
        grid-template-columns:1fr;
    }

    .result-name {
        font-size:28px;
    }
}

"""


# --------------------------------------------------
# 分类提示
# --------------------------------------------------
CLASS_HINT = """
<div style='text-align:center;margin-bottom:12px;'>

<span class='class-badge'>🥤 塑料</span>
<span class='class-badge'>📦 纸板</span>
<span class='class-badge'>📄 纸张</span>
<span class='class-badge'>🍾 玻璃</span>
<span class='class-badge'>🥫 金属</span>
<span class='class-badge'>🍂 其他垃圾</span>

<div style='margin-top:10px;color:#777;font-size:13px;'>
本系统当前支持以上 6 类垃圾识别
</div>

</div>
"""


# --------------------------------------------------
# Gradio UI
# --------------------------------------------------
with gr.Blocks(fill_width=False,
    title="AI 垃圾分类助手",
    theme=gr.themes.Soft(primary_hue="green"),
    css=CSS
) as demo:

    gr.Markdown(
        """
        <div class='main-title'>
            <h1>♻️ AI 垃圾分类助手</h1>
            <h3>拍照识别 · 投放指南 · 环保积分</h3>
        </div>
        """
    )

    gr.HTML(CLASS_HINT)

    # 上传区域
    with gr.Group(elem_classes="upload-panel"):

        image_input = gr.Image(
            type="pil",
            label="📷 上传垃圾图片",
            height=220,
            elem_id="upload-image"
        )

        username_input = gr.Textbox(
            label="👤 用户名",
            value="default",
            placeholder="输入用户名记录积分"
        )

        submit_btn = gr.Button(
            "🔍 开始识别",
            variant="primary",
            size="lg"
        )

    # 识别结果区域
    gr.Markdown(
        "### 🤖 AI 识别结果"
    )

    result_output = gr.HTML(
        value="""
        <div class='empty-card'>
            <h2>📷 等待上传图片</h2>
            <p>上传垃圾图片后点击「开始识别」</p>
        </div>
        """
    )

    # Tabs
    with gr.Tabs():

        with gr.Tab("📋 投放指南"):
            knowledge_output = gr.HTML(
                value="""
                <div class='empty-card'>
                    等待识别结果...
                </div>
                """
            )

        with gr.Tab("📊 环保统计"):
            stats_output = gr.HTML(
                value="""
                <div class='empty-card'>
                    等待识别结果...
                </div>
                """
            )

    # 按钮事件
    submit_btn.click(
        fn=classify_and_advise,
        inputs=[image_input, username_input],
        outputs=[
            result_output,
            knowledge_output,
            stats_output
        ]
    )


# --------------------------------------------------
# 启动
# --------------------------------------------------
def launch_gradio(server_port=7860):

    print(
        f"🌐 Gradio Web 界面: http://localhost:{server_port}"
    )

    demo.launch(
        server_name="0.0.0.0",
        server_port=server_port,
        share=False
    )


if __name__ == "__main__":
    launch_gradio()