import shutil
import tempfile
from pathlib import Path

import requests
import time
import streamlit as st

from sorawm.core import SoraWM


def main():
    st.set_page_config(
        page_title="Sora Watermark Cleaner", page_icon="🎬", layout="centered"
    )

    st.title("🎬 Sora Watermark Cleaner")
    st.markdown("Remove watermarks from Sora-generated videos with ease")

    # 后端模式切换
    use_backend = st.sidebar.checkbox("使用后端服务 (FastAPI)", value=True)
    backend_url = st.sidebar.text_input(
        "后端地址",
        value="http://192.168.245.14:5344",
        help="FastAPI 服务的基础地址",
    )

    # Initialize SoraWM 仅用于本地模式
    if not use_backend:
        if "sora_wm" not in st.session_state:
            with st.spinner("Loading AI models..."):
                st.session_state.sora_wm = SoraWM()

    st.markdown("---")

    # File uploader
    uploaded_file = st.file_uploader(
        "Upload your video",
        type=["mp4", "avi", "mov", "mkv"],
        help="Select a video file to remove watermarks",
    )

    if uploaded_file is not None:
        # Display video info
        st.success(f"✅ Uploaded: {uploaded_file.name}")
        st.video(uploaded_file)

        # Process button
        if st.button("🚀 Remove Watermark", type="primary", use_container_width=True):
            try:
                # Create progress bar and status text
                progress_bar = st.progress(0)
                status_text = st.empty()

                if use_backend:
                    # 后端模式：提交任务
                    submit_url = f"{backend_url}/submit_remove_task"
                    video_bytes = uploaded_file.getvalue()
                    files = {"video": (uploaded_file.name, video_bytes, "video/mp4")}
                    status_text.text("📤 正在提交到后端...")
                    resp = requests.post(submit_url, files=files, timeout=60)
                    resp.raise_for_status()
                    data = resp.json()
                    task_id = data.get("task_id")
                    if not task_id:
                        raise RuntimeError("后端未返回 task_id")

                    # 轮询任务状态
                    status_url = f"{backend_url}/get_results"
                    download_url = None
                    while True:
                        r = requests.get(status_url, params={"remove_task_id": task_id}, timeout=30)
                        r.raise_for_status()
                        info = r.json()
                        percentage = int(info.get("percentage", 0))
                        status = info.get("status", "UNKNOWN")
                        progress_bar.progress(percentage / 100)
                        if percentage < 50:
                            status_text.text(f"🔍 后端检测水印... {percentage}% ({status})")
                        elif percentage < 95:
                            status_text.text(f"🧹 后端移除水印... {percentage}% ({status})")
                        else:
                            status_text.text(f"🎵 后端合并音频... {percentage}% ({status})")
                        if status == "FINISHED":
                            download_url = info.get("download_url")
                            break
                        elif status == "ERROR":
                            raise RuntimeError("后端处理失败")
                        time.sleep(1)

                    if not download_url:
                        raise RuntimeError("后端未提供下载链接")

                    final_url = f"{backend_url}{download_url}"
                    progress_bar.progress(1.0)
                    status_text.text("✅ 后端处理完成！")
                    st.success("✅ 水印移除成功！")
                    st.markdown("### 处理结果")
                    st.video(final_url)

                    # 下载按钮（拉取到本地提供下载）
                    status_text.text("⬇️ 正在拉取处理后的视频用于下载...")
                    dl_resp = requests.get(final_url, timeout=300)
                    dl_resp.raise_for_status()
                    st.download_button(
                        label="⬇️ 下载处理后视频",
                        data=dl_resp.content,
                        file_name=f"cleaned_{uploaded_file.name}",
                        mime="video/mp4",
                        use_container_width=True,
                    )
                else:
                    # 本地模式处理
                    with tempfile.TemporaryDirectory() as tmp_dir:
                        tmp_path = Path(tmp_dir)

                        # Save uploaded file
                        input_path = tmp_path / uploaded_file.name
                        with open(input_path, "wb") as f:
                            f.write(uploaded_file.read())

                        # Process video
                        output_path = tmp_path / f"cleaned_{uploaded_file.name}"

                        def update_progress(progress: int):
                            progress_bar.progress(progress / 100)
                            if progress < 50:
                                status_text.text(f"🔍 Detecting watermarks... {progress}%")
                            elif progress < 95:
                                status_text.text(f"🧹 Removing watermarks... {progress}%")
                            else:
                                status_text.text(f"🎵 Merging audio... {progress}%")

                        # Run the watermark removal with progress callback
                        st.session_state.sora_wm.run(
                            input_path, output_path, progress_callback=update_progress
                        )

                        # Complete the progress bar
                        progress_bar.progress(1.0)
                        status_text.text("✅ Processing complete!")

                        st.success("✅ Watermark removed successfully!")

                        # Display result
                        st.markdown("### Result")
                        st.video(str(output_path))

                        # Download button
                        with open(output_path, "rb") as f:
                            st.download_button(
                                label="⬇️ Download Cleaned Video",
                                data=f,
                                file_name=f"cleaned_{uploaded_file.name}",
                                mime="video/mp4",
                                use_container_width=True,
                            )
            except Exception as e:
                st.error(f"❌ 处理失败: {str(e)}")

    # Footer
    st.markdown("---")
    st.markdown(
        """
        <div style='text-align: center'>
            <p>Built with ❤️ using Streamlit and AI</p>
            <p><a href='https://github.com/linkedlist771/SoraWatermarkCleaner'>GitHub Repository</a></p>
        </div>
        """,
        unsafe_allow_html=True,
    )


if __name__ == "__main__":
    main()