app.py

import gradio as gr
import logging
import json
import os
from typing import Dict, Any, List
from itertools import groupby

# Configure logging
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)

video_folder = 'video/'
metadata_folder = 'metadata/'

def load_video_list() -> List[Dict[str, str]]:
    video_list = []
    for filename in os.listdir(video_folder):
        if filename.endswith('.mp4'):
            video_id = os.path.splitext(filename)[0]
            metadata_path = os.path.join(metadata_folder, f"{video_id}.json")
            if os.path.exists(metadata_path):
                with open(metadata_path, 'r') as f:
                    metadata = json.load(f)
                    metadata = metadata['content_metadata']
                    title = metadata.get('title', 'Untitled')
                    video_list.append({"video_id": video_id, "title": title})
    
    # Define the custom order for the first five videos
    custom_order = ['7BhJmDPB7RU', 'PrAwsi3Ldzo', '3rhsSPxQ39c', 'P7WnJZ55sgc', 'g9GtUQs7XUM']
    
    # Custom sorting function
    def custom_sort(item):
        try:
            return custom_order.index(item['video_id'])
        except ValueError:
            return len(custom_order) + 1  # Place non-specified videos after the custom ordered ones
    
    # Sort the video list
    video_list.sort(key=lambda x: (custom_sort(x), x['title']))
    
    return video_list


def score_to_emoji(score):
    if score < 0.2:
        return "😴"
    elif score < 0.4:
        return "🙂"
    elif score < 0.6:
        return "😊"
    elif score < 0.8:
        return "😃"
    else:
        return "🤩"
def load_metadata(video_id: str) -> Dict[str, Any]:
    metadata_path = os.path.join(metadata_folder, f"{video_id}.json")
    try:
        with open(metadata_path, 'r') as f:
            asd =json.load(f)
            return asd['content_metadata']
    except FileNotFoundError:
        logger.error(f"Metadata file not found for video ID: {video_id}")
        raise
    except json.JSONDecodeError:
        logger.error(f"Invalid JSON in metadata file for video ID: {video_id}")
        raise

def timestamp_to_seconds(timestamp: str) -> float:
    try:
        h, m, s = timestamp.split(':')
        return int(h) * 3600 + int(m) * 60 + float(s)
    except ValueError:
        logger.error(f"Invalid timestamp format: {timestamp}")
        return 0.0

def format_timestamp(timestamp: str) -> str:
    try:
        h, m, s = timestamp.split(':')
        return f"{int(m):02d}:{int(float(s)):02d}"
    except Exception as e:
        logger.error(f"Invalid timestamp format: {timestamp}")
        return ""

def create_scene_table(scene: Dict[str, Any]) -> str:
    dynamism_score = scene.get('dynamismScore', 0)
    av_correlation = scene.get('audioVisualCorrelation', 0)
    cast = ", ".join([cast_member for cast_member in scene.get('cast', [])])
    
    output = f"""
    <div class="scene-container">
        <h3>Scene {scene.get('sceneId', 'Unknown')}: {scene.get('title', '')}</h3>
        <p>Dynamism: {score_to_emoji(dynamism_score)} Audio-visual correlation: {score_to_emoji(av_correlation)} Cast: {cast}</p>
        <table class="metadata-table">
            <tr>
                <th>Timestamp</th>
                <th>Type</th>
                <th>Description</th>
            </tr>
    """

    scene_events = []

    # Collect all scene data
    data_types = [
        ('Activities', scene.get('activities', [])),
        ('Props', scene.get('props', [])),
        ('Mood', [scene.get('mood', {})]),
        ('Narrative Progression', scene.get('narrativeProgression', [])),
        ('Video Editing Details', scene.get('videoEditingDetails', [])),
        ('Thematic Elements', [{'description': scene.get('thematicElements', '')}]),
        ('Contextual Relevance', [{'description': scene.get('contextualRelevance', '')}]),
        ('Character Interaction', scene.get('characterInteraction', []))
    ]

    for data_type, data_list in data_types:
        for item in data_list:
            if isinstance(item, dict):
                start_time = ''
                end_time = ''
                description = ''

                if data_type == 'Activities':
                    start_time = item.get('timestamp', {}).get('start_timestamp', '')
                    end_time = item.get('timestamp', {}).get('end_timestamp', '')
                    description = item.get('description', '')
                elif data_type == 'Props':
                    start_time = item.get('timestamp', {}).get('start_timestamp', '')
                    end_time = item.get('timestamp', {}).get('end_timestamp', '')
                    description = item.get('name', '')
                elif data_type == 'Video Editing Details':
                    start_time = item.get('timestamps', {}).get('start_timestamp', '')
                    end_time = item.get('timestamps', {}).get('end_timestamp', '')
                    description = item.get('description', '')
                elif data_type == 'Mood':
                    description = item.get('description', '')
                    # Handle mood changes
                    for mood_change in item.get('keyMoments', []):
                        if isinstance(mood_change, dict):
                            scene_events.append({
                                'timestamp_start': mood_change.get('timestamp', ''),
                                'timestamp_end': '',
                                'type': 'Mood Change',
                                'description': mood_change.get('changeDescription', '')
                            })
                elif data_type == 'Character Interaction':
                    characters = ', '.join(item.get('characters', []))
                    description = f"{characters}: {item.get('description', '')}"
                else:
                    start_time = item.get('timestamp', '')
                    description = item.get('description', '')

                scene_events.append({
                    'timestamp_start': start_time,
                    'timestamp_end': end_time,
                    'type': data_type,
                    'description': description
                })
            elif isinstance(item, str):
                scene_events.append({
                    'timestamp_start': '',
                    'timestamp_end': '',
                    'type': data_type,
                    'description': item
                })

    # Sort events by timestamp
    scene_events.sort(key=lambda x: x['timestamp_start'] if x['timestamp_start'] else '')

    for event in scene_events:
        start_time = format_timestamp(event['timestamp_start'])
        end_time = format_timestamp(event['timestamp_end'])
        start_link = f'<a href="#" class="timestamp-link" data-timestamp="{event["timestamp_start"]}">{start_time}</a>' if start_time else ''
        end_link = f' - <a href="#" class="timestamp-link" data-timestamp="{event["timestamp_end"]}">{end_time}</a>' if end_time else ''
        
        output += f"""
        <tr>
            <td>{start_link}{end_link}</td>
            <td>{event['type']}</td>
            <td>{event['description']}</td>
        </tr>
        """

    output += """
        </table>
    </div>
    """
    return output

def create_storylines_table(storylines: Dict[str, Any]) -> str:
    output = """
    <div class="storylines-container">
        <h3>Storylines</h3>
        <table class="metadata-table">
            <tr>
                <th>Storyline</th>
                <th>Scenes Involved</th>
            </tr>
    """
    
    output += f"""
        <tr>
            <td>{storylines.get('description', 'No description available')}</td>
            <td>{', '.join(map(str, storylines.get('scenes', [])))}</td>
        </tr>
    """

    output += """
        </table>
    </div>
    """
    return output

def create_qa_section(qa_list: List[Dict[str, str]]) -> str:
    output = """
    <div class="qa-container">
        <h3>Q&A</h3>
        <div class="chat-discussion">
    """
    
    for qa in qa_list:
        output += f"""
            <div class="question">{qa.get('question', '')}</div>
            <div class="answer">{qa.get('answer', '')}</div>
        """

    output += """
        </div>
    </div>
    """
    return output

def create_trimming_suggestions(suggestions: List[Dict[str, Any]]) -> str:
    output = """
    <div class="trimming-suggestions-container">
        <h3>Trimming Suggestions</h3>
        <table class="metadata-table">
            <tr>
                <th>Timestamp</th>
                <th>Description</th>
            </tr>
    """
    
    for suggestion in suggestions:
        start_time = suggestion.get('timestamps', {}).get('start_timestamp', '')
        end_time = suggestion.get('timestamps', {}).get('end_timestamp', '')
        start_formatted = format_timestamp(start_time)
        end_formatted = format_timestamp(end_time)
        
        output += f"""
        <tr>
            <td>
                <a href="#" class="timestamp-link" data-timestamp="{start_time}">{start_formatted}</a>
                {f' - <a href="#" class="timestamp-link" data-timestamp="{end_time}">{end_formatted}</a>' if end_time else ''}
            </td>
            <td>{suggestion.get('description', '')}</td>
        </tr>
        """

    output += """
        </table>
    </div>
    """
    return output

def create_filmstrip(scenes: List[Dict[str, Any]], video_duration: float) -> str:
    filmstrip_html = f"""
    <div id="filmstrip-inner" style="position: relative; width: 100%; height: 100%;" data-duration="{video_duration}">
    """

    for scene in scenes:
        start_time = timestamp_to_seconds(scene['timestamps'].get('start_timestamp', '0:00:00'))
        end_time = timestamp_to_seconds(scene['timestamps'].get('end_timestamp', str(video_duration)))
        left_pos = (start_time / video_duration) * 100
        width = ((end_time - start_time) / video_duration) * 100
        title = scene.get('title', '')
        filmstrip_html += f'''
        <div class="scene-marker" style="position: absolute; left: {left_pos}%; width: {width}%; height: 100%; background-color: rgba(0, 0, 255, 0.2); border-right: 1px solid blue; overflow: hidden;">
            <div class="scene-title" style="font-size: 10px; word-wrap: break-word; padding: 2px;">{title}</div>
        </div>
        '''

    filmstrip_html += """
        <div id="scrubbing-needle" style="position: absolute; width: 2px; height: 100%; background-color: red; top: 0; left: 0; pointer-events: none;"></div>
    </div>
    """
    return filmstrip_html

def process_video(video_id: str):
    try:
        logger.info(f"Processing video with ID: {video_id}")
        metadata = load_metadata(video_id)

        # Always use the test URL instead of the actual video file
        video_url = f"https://huggingface.co/spaces/HuggingFaceFV/FineVideo-Explorer/resolve/main/video/{video_id}.mp4"

        # Create HTML for video player
        video_html = f"""
        <div id="video-wrapper">
            <video id="video-player" controls>
                <source src="{video_url}" type="video/mp4">
                Your browser does not support the video tag.
            </video>
        </div>
        """

        # Character List Table
        character_table = """
        <h3>Characters</h3>
        <table class="metadata-table">
            <tr>
                <th>Character</th>
                <th>Description</th>
            </tr>
        """
        for character in metadata.get('characterList', []):
            character_table += f"""
            <tr>
                <td>{character.get('name', '')}</td>
                <td>{character.get('description', '')}</td>
            </tr>
            """
        character_table += "</table>"

        additional_data = f"""
        <div class="video-info">
            <h2>{metadata.get('title', 'Untitled')}</h2>
            <p><strong>Description:</strong> {metadata.get('description', 'No description available')}</p>
        </div>
        {character_table}
        """

        scenes_output = ""
        for scene in metadata.get('scenes', []):
            scenes_output += create_scene_table(scene)

        storylines_output = create_storylines_table(metadata.get('storylines', {}))
        qa_output = create_qa_section(metadata.get('qAndA', []))
        trimming_suggestions_output = create_trimming_suggestions(metadata.get('trimmingSuggestions', []))

        # Generate filmstrip HTML
        last_scene = metadata['scenes'][-1]
        video_duration = timestamp_to_seconds(last_scene['timestamps'].get('end_timestamp', '0:00:00'))
        filmstrip_html = create_filmstrip(metadata['scenes'], video_duration)

        logger.info("Video processing completed successfully")
        return video_html, filmstrip_html, additional_data + scenes_output + storylines_output + qa_output + trimming_suggestions_output
    except Exception as e:
        logger.exception(f"Error processing video: {str(e)}")
        return None, "", f"Error processing video: {str(e)}"
    
css = """
* {
    margin: 0;
    padding: 0;
    box-sizing: border-box;
    # flex: 0!important;
}
html, body, gradio-app {
    height: 100%;
    min-height: unset!important;
    max-height: unset!important;
    display: block!important;
}
.main {
    flex-grow: 1;
    flex-shrink: 1;
    overflow: hidden;
}
.main .wrap .contain {
    flex-grow: 1;
    flex-shrink: 1;
    overflow: hidden;
} 
#component-0 {
    overflow: hidden;
}
# .app {
#     overflow: hidden;
# }
#top-panel {
    flex-shrink: 0;
}

body {
    margin: 0;
    padding: 0;
    font-family: Arial, sans-serif;
    overflow: hidden;
}
.container {
    display: flex;
    flex-direction: column;
    height: 100vh;
}
#header {
    display: flex;
    align-items: center;
    padding: 10px;
    background-color: white;
}
#logo {
    width: auto;
    height: 150px;
    box-shadow: none !important;
    border: none !important;
    background: none !important;
    object-fit: contain;
}
#header-content {
    flex-grow: 1;
    display: flex;
    justify-content: space-between;
    align-items: center;
}
#header-content h1 {
    margin: 0;
    font-size: 36px;
    font-weight: bold;
}
#header-content a {
    font-size: 18px;
    color: #0066cc;
    text-decoration: none;
}
#header-content a:hover {
    text-decoration: underline;
}
#top-panel {
    height: 33vh;
    display: flex;
    padding: 10px;
    box-shadow: 0 2px 5px rgba(0,0,0,0.1);
    overflow: hidden;
}
#video-list-column {

    max-height: 80vh; /* Adjust as needed */
    overflow-y: auto;
    height: 100%;
}
#video-column {
    width: 70%;
    display: flex;
    flex-direction: column;
}
#video-wrapper {
    flex-grow: 1;
    display: flex;
    justify-content: center;
    align-items: center;
    overflow: hidden;
}
#video-player {
    width: 100%;
    max-height: calc(33vh - 120px) !important;
}
#filmstrip-container {
    width: 100%;
    height: 80px !important;
    background-color: #f0f0f0;
    position: relative;
    overflow: hidden;
    cursor: pointer;
}
#filmstrip-container > div,
#filmstrip-container > div > div,
#filmstrip-container > div > div > div {
    height: 100% !important;
}
#scrollable-content {
    overflow-y: auto;
    padding: 20px;
}
#metadata-container {
    margin-top: 20px;
}
.content-samples {
    display: flex;
    flex-direction: column;
    overflow-y: auto;
    max-height: 100%;
}
.content-samples > .wrap {
    display: flex;
    flex-direction: column;
}
.content-samples .hidden {
    display: none !important;
}
.content-samples > .wrap > .wrap {
    display: flex !important;
    flex-direction: column !important;
}
.content-samples label {
    display: block;
    padding: 10px;
    cursor: pointer;
    border-bottom: 1px solid #ddd;
    white-space: nowrap;
    overflow: hidden;
    text-overflow: ellipsis;
}
.content-samples label:hover {
    background-color: #f0f0f0;
}
.video-info {
    margin-bottom: 20px;
}
.scene-container {
    margin-bottom: 30px;
}
.metadata-table {
    width: 100%;
    border-collapse: collapse;
    margin-bottom: 20px;
}
.metadata-table th, .metadata-table td {
    border: 1px solid #ddd;
    padding: 8px;
    text-align: left;
}
.metadata-table th {
    background-color: #f2f2f2;
}
.metadata-table tr:nth-child(even) {
    background-color: #f9f9f9;
}
.timestamp-link {
    color: #0066cc;
    text-decoration: none;
    cursor: pointer;
}
.timestamp-link:hover {
    text-decoration: underline;
}
.chat-discussion {
    background-color: #f0f0f0;
    border-radius: 10px;
    padding: 15px;
    margin-bottom: 20px;
}
.question {
    font-weight: bold;
    margin-bottom: 5px;
}
.answer {
    margin-bottom: 15px;
    padding-left: 15px;
}
.correlation-scores {
    font-size: 18px;
    margin-bottom: 20px;
}
#reinitialization-overlay {
    position: fixed;
    top: 0;
    left: 0;
    width: 100%;
    height: 100%;
    background-color: rgba(0, 0, 0, 0.5);
    display: flex;
    justify-content: center;
    align-items: center;
    z-index: 9999;
    color: white;
    font-size: 24px;
    font-weight: bold;
}

@media (max-width: 768px) {
    #header {
        flex-direction: column;
        align-items: flex-start;
        flex-wrap: nowrap;
        overflow: hidden;
        max-height: 25vh;
    }
    #header-content h1 {
        font-size: 24px;
    }
    #header-content p {
        font-size: 14px;
    }
    #logo {
        align-self: flex-end;
        margin-top: 10px;

        position: absolute;
        top: 12px;
        right: -24px;
        height: auto!important;
        width: 150px;
        min-width: 0!important;

        margin:0!important;
    }
    #logo .image-container {
        height: auto!important;
    }
    .image-frame {
        height: auto!important;
    }
    #top-panel {
        flex-direction: column;
        height: 50vh;
    }
    #video-list-column, #video-column {
        width: 100%;
    }
    #video-list-column {
        flex-grow: 7!important;
    }
}
.icon-buttons button {
    display: none !important;
}

/* Ensure one element per row in Gradio list */
#video-list-column .wrap {
    display: flex;
    flex-direction: column;
}

#video-list-column .wrap > .wrap {
    display: flex !important;
    flex-direction: column !important;
}

#video-list-column label {
    display: block;
    width: 100%;
}
"""

js = """
<script>
// Wrap everything in an IIFE to avoid polluting the global scope
(function() {
    function safeLog(message) {
        if (typeof console !== 'undefined' && console.log) {
            console.log(message);
        }
    }

    function findFilmstripInner(container) {
        if (container.id === 'filmstrip-inner') {
            return container;
        }
        for (let child of container.children) {
            let result = findFilmstripInner(child);
            if (result) {
                return result;
            }
        }
        return null;
    }

    function initializeFilmstrip() {
        //safeLog("Initializing filmstrip...");

        var videoElement = document.querySelector('video');
        var filmstripContainer = document.getElementById('filmstrip-container');
        var filmstripInner = findFilmstripInner(filmstripContainer);
        var scrubbingNeedle = document.getElementById('scrubbing-needle');

        if (!videoElement || !filmstripContainer || !filmstripInner || !scrubbingNeedle) {
            //safeLog("Required elements not found for filmstrip");
            return;
        }

        var videoDuration = parseFloat(filmstripInner.getAttribute('data-duration') || videoElement.duration);

        videoElement.addEventListener('timeupdate', function() {
            var progress = videoElement.currentTime / videoDuration;
            scrubbingNeedle.style.left = (progress * 100) + '%';
        });

        filmstripContainer.addEventListener('click', function(event) {
            var rect = filmstripContainer.getBoundingClientRect();
            var clickPosition = (event.clientX - rect.left) / rect.width;
            videoElement.currentTime = clickPosition * videoDuration;
        });

        //safeLog("Filmstrip initialization complete");
    }

    function initializeTimestampLinks() {
        //safeLog("Initializing timestamp links...");
        var videoElement = document.querySelector('video');
        var links = document.querySelectorAll('.timestamp-link');
        
        if (!videoElement) {
            //safeLog("Video element not found for timestamp links");
            return;
        }
        
        if (links.length === 0) {
            //safeLog("No timestamp links found");
            return;
        }

        links.forEach(function(link) {
            link.addEventListener('click', function(e) {
                e.preventDefault();
                var timestamp = this.getAttribute('data-timestamp');
                //safeLog("Timestamp link clicked: " + timestamp);
                var parts = timestamp.split(':');
                var seconds = parseInt(parts[0], 10) * 3600 + parseInt(parts[1], 10) * 60 + parseFloat(parts[2]);
                videoElement.currentTime = seconds;
            });
        });
        //safeLog("Timestamp links initialization complete");
    }

    let isReinitializing = false;

    function showOverlay() {
        let overlay = document.getElementById('reinitialization-overlay');
        if (!overlay) {
            overlay = document.createElement('div');
            overlay.id = 'reinitialization-overlay';
            overlay.style.position = 'fixed';
            overlay.style.top = '0';
            overlay.style.left = '0';
            overlay.style.width = '100%';
            overlay.style.height = '100%';
            overlay.style.backgroundColor = 'rgba(0, 0, 0, 0.5)';
            overlay.style.display = 'flex';
            overlay.style.justifyContent = 'center';
            overlay.style.alignItems = 'center';
            overlay.style.zIndex = '9999';

            const message = document.createElement('div');
            message.textContent = 'Loading assets...';
            message.style.color = 'white';
            message.style.fontSize = '24px';
            message.style.fontWeight = 'bold';

            overlay.appendChild(message);
            document.body.appendChild(overlay);
        }
        overlay.style.display = 'flex';
    }

    function hideOverlay() {
        const overlay = document.getElementById('reinitialization-overlay');
        if (overlay) {
            overlay.style.display = 'none';
        }
    }

    function initializeEverything() {
        if (isReinitializing) {
            //safeLog("Already reinitializing, skipping...");
            return;
        }

        isReinitializing = true;
        showOverlay();
        //safeLog("Initializing everything...");
        try {
            initializeFilmstrip();
            initializeTimestampLinks();
            //safeLog("Initialization complete");
        } catch (error) {
            //safeLog("Error during initialization: " + error.message);
        } finally {
            isReinitializing = false;
            hideOverlay();
        }
    }

    let lastVideoSelection = null;

    function checkVideoSelection() {
        const videoList = document.getElementById('video-list');
        if (videoList) {
            const currentSelection = videoList.querySelector('input:checked');
            if (currentSelection && currentSelection.value !== lastVideoSelection) {
                //safeLog("Video selection changed, reinitializing...");
                lastVideoSelection = currentSelection.value;
                showOverlay();
                setTimeout(() => {
                    initializeEverything();
                    hideOverlay();
                }, 1000);  // Delay to ensure new video is loaded
            }
        }
    }

    // Set up a MutationObserver to watch for changes in the entire document
    const contentObserver = new MutationObserver((mutations) => {
        mutations.forEach((mutation) => {
            if (mutation.type === 'childList' || mutation.type === 'attributes') {
                checkVideoSelection();
                if (mutation.target.id === 'video-container' || 
                    mutation.target.id === 'filmstrip-container' ||
                    mutation.target.id === 'metadata-container') {
                    //safeLog("Relevant content updated, reinitializing...");
                    setTimeout(initializeEverything, 100);  // Small delay to ensure elements are ready
                }
            }
        });
    });

    contentObserver.observe(document.body, {
        childList: true,
        subtree: true,
        attributes: true,
        attributeFilter: ['value', 'checked']
    });

    // Function to set up Gradio event listeners
    function setupGradioEventListeners() {
        if (typeof gradio !== 'undefined') {
            //safeLog("Setting up Gradio event listeners...");
            gradio('#video-list').change(function(evt) {
                //safeLog("Gradio detected video selection change, reinitializing...");
                setTimeout(initializeEverything, 1000);
            });
        } /*else {
            safeLog("Gradio not found, using fallback method");
        }*/
    }

    // Periodically check for video selection changes
    setInterval(checkVideoSelection, 1000);

    // Initialize everything when the DOM is ready
    document.addEventListener('DOMContentLoaded', function() {
        initializeEverything();
        setupGradioEventListeners();
        checkVideoSelection();
    });

    // Also try to initialize after a short delay, in case DOMContentLoaded has already fired
    setTimeout(function() {
        initializeEverything();
        setupGradioEventListeners();
        checkVideoSelection();
    }, 1000);
})();
</script>
"""

with gr.Blocks(css=css, head=js) as iface:
    with gr.Row(elem_id="header"):
        with gr.Column(scale=1):
            gr.Image("logo.png", elem_id="logo", show_label=False, interactive=False)
            gr.Markdown("### Click a title to dive into the data:")
        with gr.Column(elem_id="header-content", scale=10):
            gr.Markdown("""
    # Exploration page                
    ## [🔗 Dataset](https://huggingface.co/datasets/HuggingFaceFV/finevideo)
    """)
    with gr.Row(elem_id="top-panel"):
        with gr.Column(scale=3, elem_id="video-list-column"):
            video_list_data = load_video_list()
            video_list = gr.Radio(
                label="Content Samples",
                choices=[video["title"] for video in video_list_data],
                elem_id="video-list",
                value=None,
                container=False
            )
        
        with gr.Column(scale=7, elem_id="video-column"):
            video_output = gr.HTML(elem_id="video-container")
            filmstrip_output = gr.HTML(elem_id="filmstrip-container")
    
    with gr.Row(elem_id="scrollable-content"):
        metadata_output = gr.HTML(elem_id="metadata-container")

    def wrapped_process_video(title: str) -> tuple:
        if not title:
            return "", "", ""
        video_id = next(video["video_id"] for video in video_list_data if video["title"] == title)
        logging.info(f"Processing video with ID: {video_id}")
        video_html, filmstrip_html, metadata_html = process_video(video_id)
        return video_html, filmstrip_html, metadata_html

    video_list.change(
        fn=wrapped_process_video,
        inputs=[video_list],
        outputs=[video_output, filmstrip_output, metadata_output]
    )

if __name__ == "__main__":
    iface.launch()