app.py

import streamlit as st
import requests
import tempfile
import shutil
from kaggle.api.kaggle_api_extended import KaggleApi
import os
import time
import json
import subprocess
from google.oauth2.credentials import Credentials
from googleapiclient.discovery import build
from googleapiclient.http import MediaFileUpload
from googleapiclient.errors import HttpError

def setup_kaggle_api():
    try:
        os.environ["KAGGLE_USERNAME"] = st.secrets["KAGGLE_USERNAME"]
        os.environ["KAGGLE_KEY"] = st.secrets["KAGGLE_KEY"]
        api = KaggleApi()
        api.authenticate()
        return api
    except KeyError as e:
        st.error(f"Missing Kaggle secret: {e}")
        st.stop()
    except Exception as e:
        st.error(f"Kaggle API setup failed: {e}")
        st.stop()

def setup_drive_service():
    try:
        credentials_dict = dict(st.secrets["GOOGLE_SERVICE_ACCOUNT"])
        credentials = Credentials(
            token=credentials_dict["access_token"],
            refresh_token=credentials_dict["refresh_token"],
            client_id=credentials_dict["client_id"],
            client_secret=credentials_dict["client_secret"],
            token_uri=credentials_dict["token_uri"],
            scopes=credentials_dict["scopes"]
        )
        if credentials.expired and credentials.refresh_token:
            credentials.refresh(requests.Request())
        drive_service = build('drive', 'v3', credentials=credentials)
        return drive_service
    except KeyError as e:
        st.error(f"Missing key in GOOGLE_SERVICE_ACCOUNT: {e}")
        st.stop()
    except Exception as e:
        st.error(f"Google Drive auth failed: {e}")
        st.stop()

def upload_to_drive(drive_service, file_path, title, folder_id="1T6v7Iqc90-NA-F3I-HeHDSvEaIyFibKd"):
    try:
        file_metadata = {'name': title, 'parents': [folder_id]}
        media = MediaFileUpload(file_path, resumable=True)
        file = drive_service.files().create(
            body=file_metadata, media_body=media, fields='id, name'
        ).execute()
        file_id = file['id']
        drive_service.permissions().create(
            fileId=file_id,
            body={'type': 'anyone', 'role': 'reader'},
            fields='id'
        ).execute()
        shareable_link = f"https://drive.google.com/file/d/{file_id}/view?usp=sharing"
        return file_id, shareable_link
    except HttpError as e:
        st.error(f"Drive upload failed: {e}")
        raise
    except Exception as e:
        st.error(f"Unexpected error during upload: {e}")
        raise

def delete_from_drive(drive_service, file_id):
    try:
        drive_service.files().delete(fileId=file_id).execute()
    except Exception as e:
        st.error(f"Failed to delete file {file_id} from Drive: {e}")

def get_bvh_from_folder(drive_service, folder_id="1T6v7Iqc90-NA-F3I-HeHDSvEaIyFibKd"):
    try:
        query = f"'{folder_id}' in parents and name contains '.bvh'"
        response = drive_service.files().list(q=query, fields="files(id, name, mimeType)", pageSize=1).execute()
        files = response.get('files', [])
        if files:
            bvh_file = files[0]
            bvh_id = bvh_file['id']
            bvh_url = f"https://drive.google.com/uc?id={bvh_id}"
            return bvh_id, bvh_url
        return None, None
    except Exception as e:
        st.error(f"Error checking folder for BVH: {e}")
        return None, None

def push_kaggle_kernel(api, temp_dir, notebook_slug):
    try:
        local_notebook_path = os.path.join(os.path.dirname(__file__), 'video-to-bvh-converter.ipynb')
        if not os.path.exists(local_notebook_path):
            st.error(f"Notebook file not found")
            raise FileNotFoundError

        kernel_file = os.path.join(temp_dir, 'kernel.ipynb')
        shutil.copy(local_notebook_path, kernel_file)

        code_file = "kernel.ipynb"
        kernel_type = "notebook"

        metadata = {
            "id": notebook_slug,
            "title": "video-to-bvh-converter",
            "code_file": code_file,
            "language": "python",
            "kernel_type": kernel_type,
            "enable_gpu": True,
            "enable_internet": True,
            "is_private": True,
            "competition_sources": [],
            "dataset_sources": [],
            "kernel_sources": []
        }
        metadata_file = os.path.join(temp_dir, 'kernel-metadata.json')
        with open(metadata_file, 'w') as f:
            json.dump(metadata, f)
        
        cmd = f"kaggle kernels push -p {temp_dir}"
        result = subprocess.run(cmd, shell=True, capture_output=True, text=True)
        if result.returncode != 0:
            st.error(f"Kaggle push failed: {result.stderr}")
            raise Exception
        
        kernel_url = f"https://www.kaggle.com/code/{notebook_slug}"
        return kernel_url
    except Exception as e:
        st.error(f"Failed to push kernel: {str(e)}")
        raise

def check_kernel_exists(api, notebook_slug):
    try:
        kernels = api.kernels_list(mine=True, search=notebook_slug)
        for kernel in kernels:
            if kernel.ref == notebook_slug:
                return True
        return False
    except Exception as e:
        st.error(f"Kernel check failed: {e}")
        return False

def process_video(api, drive_service, video_file):
    video_file_id = None
    bvh_file_id = None
    try:
        with tempfile.NamedTemporaryFile(delete=False, suffix='.mp4') as tmp_file:
            tmp_file.write(video_file.read())
            video_path = tmp_file.name
        
        video_file_id, video_shareable_link = upload_to_drive(drive_service, video_path, "input_video.mp4")
        st.success(f"Video uploaded to Drive: {video_shareable_link}")

        username = st.secrets['KAGGLE_USERNAME']
        notebook_slug = f"{username}/video-to-bvh-converter"
        
        kernel_exists = check_kernel_exists(api, notebook_slug)
        if not kernel_exists:
            pass
        
        temp_dir = tempfile.mkdtemp()

        with st.spinner("Triggering Kaggle notebook..."):
            kernel_url = push_kaggle_kernel(api, temp_dir, notebook_slug)

        progress_bar = st.progress(0.0)
        progress_text = st.empty()

        with st.spinner("Waiting for video processing..."):
            start_time = time.time()
            execution_started = False
            retry_count = 0
            max_retries = 3
            overall_timeout = 1800

            while time.time() - start_time < overall_timeout:
                try:
                    status_response = api.kernels_status(notebook_slug)
                    current_status = status_response.status if hasattr(status_response, 'status') else 'unknown'
                    
                    if current_status in ['queued', 'running']:
                        execution_started = True
                        if current_status == 'queued':
                            progress_bar.progress(0.2)
                            progress_text.text("Queued - Waiting for GPU...")
                        elif current_status == 'running':
                            progress_bar.progress(0.4)
                            progress_text.text("Processing video...")
                    elif current_status == 'complete' and not execution_started:
                        push_kaggle_kernel(api, temp_dir, notebook_slug)
                        time.sleep(10)
                        continue
                    elif current_status == 'error' and not execution_started:
                        if retry_count < max_retries:
                            time.sleep(10)
                            push_kaggle_kernel(api, temp_dir, notebook_slug)
                            retry_count += 1
                            start_time = time.time()
                            continue
                        else:
                            if video_file_id:
                                delete_from_drive(drive_service, video_file_id)
                            return None

                    bvh_file_id, bvh_url = get_bvh_from_folder(drive_service)
                    if bvh_url:
                        response = requests.get(bvh_url)
                        if response.status_code == 200:
                            progress_bar.progress(1.0)
                            progress_text.text("Complete!")
                            if video_file_id:
                                delete_from_drive(drive_service, video_file_id)
                            if bvh_file_id:
                                delete_from_drive(drive_service, bvh_file_id)
                            st.write("BVH generated")
                            return {'bvh_data': response.content}

                    if execution_started and current_status in ['complete', 'error']:
                        progress_bar.progress(0.8 if current_status == 'complete' else 0.6)
                        progress_text.text("Finalizing..." if current_status == 'complete' else "Error occurred...")
                        if current_status == 'error':
                            if video_file_id:
                                delete_from_drive(drive_service, video_file_id)
                            return None

                    time.sleep(10)

                except Exception as e:
                    st.error(f"Status check failed: {str(e)}")
                    time.sleep(10)

            if video_file_id:
                delete_from_drive(drive_service, video_file_id)
            return None

    except Exception as e:
        st.error(f"Processing error: {e}")
        if video_file_id:
            delete_from_drive(drive_service, video_file_id)
        if bvh_file_id:
            delete_from_drive(drive_service, bvh_file_id)
        return None
    finally:
        if 'video_path' in locals():
            os.unlink(video_path)
        if 'temp_dir' in locals() and os.path.exists(temp_dir):
            shutil.rmtree(temp_dir)

def main():
    st.set_page_config(
        page_title="Motion Capture Studio | Video to BVH Converter",
        page_icon="🎬",
        layout="wide",
        initial_sidebar_state="collapsed"
    )

    st.markdown("""
    <style>
    :root {
        --bg-color: #1a1a1a;
        --card-bg: #252525;
        --primary-color: #bb86fc;
        --secondary-color: #03dac6;
        --error-color: #cf6679;
        --text-color: #e0e0e0;
        --text-secondary: #a0a0a0;
    }
    .stApp { background-color: var(--bg-color); }
    h1, h2, h3, p, div { color: var(--text-color) !important; }
    .card { background-color: var(--card-bg); border-radius: 20px; padding: 2rem; margin: 1rem auto; max-width: 1200px; }
    .main-title { font-size: 3.5rem; font-weight: 900; background: linear-gradient(135deg, var(--primary-color), var(--secondary-color)); -webkit-background-clip: text; -webkit-text-fill-color: transparent; text-align: center; }
    .subtitle { font-size: 1.3rem; color: var(--text-secondary); text-align: center; }
    .section-title { font-size: 1.5rem; font-weight: 700; color: var(--primary-color) !important; }
    .stButton > button { background: linear-gradient(135deg, var(--primary-color), #9b59f5); color: #fff !important; border-radius: 12px; padding: 0.8rem 2.5rem; font-weight: 600; font-size: 1.2rem; border: none; width: 100%; }
    .stDownloadButton > button { background: linear-gradient(135deg, var(--secondary-color), #02b3a3); color: #fff !important; border-radius: 12px; padding: 0.8rem 2.5rem; font-weight: 600; font-size: 1.2rem; border: none; width: 100%; }
    </style>
    """, unsafe_allow_html=True)

    st.markdown('<h1 class="main-title">Motion Capture Studio</h1>', unsafe_allow_html=True)
    st.markdown('<p class="subtitle">Convert videos to BVH with AI</p>', unsafe_allow_html=True)

    api = setup_kaggle_api()
    drive_service = setup_drive_service()

    st.markdown('<div class="card">', unsafe_allow_html=True)
    
    st.markdown('<h3 class="section-title"></h3>', unsafe_allow_html=True)
    status_col1, status_col2 = st.columns(2)
    with status_col1:
        try:
            username = st.secrets['KAGGLE_USERNAME']
            notebook_slug = f"{username}/video-to-bvh-converter"
            kernel_exists = check_kernel_exists(api, notebook_slug)
            if kernel_exists:
                st.success(f"✅ Kaggle kernel found: {notebook_slug}")
            else:
                st.error(f"❌ Kaggle kernel not found: {notebook_slug}")
        except Exception as e:
            st.error(f"❌failed: {e}")
    
    with status_col2:
        try:
            drive_about = drive_service.about().get(fields="user,storageQuota").execute()
            storage_used = int(drive_about.get('storageQuota', {}).get('usage', 0)) / (1024 * 1024)
            # st.success(f"✅ Google Drive: {storage_used:.2f} MB used")
        except Exception as e:
            st.error(f"❌Drive check failed: {e}")
    
    col1, col2 = st.columns(2)
    with col1:
        st.markdown('<h3 class="section-title">Upload Video</h3>', unsafe_allow_html=True)
        uploaded_file = st.file_uploader("Upload a video", type=['mp4', 'avi', 'mov'])
        if uploaded_file:
            st.session_state['uploaded_file'] = uploaded_file
    with col2:
        st.markdown('<h3 class="section-title">Preview</h3>', unsafe_allow_html=True)
        if uploaded_file := st.session_state.get('uploaded_file'):
            st.video(uploaded_file)

    if st.session_state.get('uploaded_file'):
        st.markdown('<h3 class="section-title">Processing Options</h3>', unsafe_allow_html=True)
        
        if st.button("Start Motion Capture"):
            result = process_video(api, drive_service, st.session_state['uploaded_file'])
            
            if result and 'bvh_data' in result:
                st.success("Motion capture complete!")
                st.download_button(
                    label="Download BVH",
                    data=result['bvh_data'],
                    file_name="motion_capture.bvh",
                    mime="application/octet-stream"
                )
            else:
                st.error("Failed to retrieve BVH file.")
    st.markdown('</div>', unsafe_allow_html=True)

if __name__ == "__main__":
    main()