# Intelligent Queue Management

Advanced queue operations and smart features for optimal playback flow.

# Queue Types

# Standard Queue

Basic FIFO (First In, First Out) queue:

# Add tracks
await player.queue.add(track1)
await player.queue.add(track2)

# Play next
next_track = await player.queue.advance()  # Returns track1

# Smart Queue

Intelligent queue with advanced features:

# Enable smart features
player.queue.enable_adaptive_reorder = True
player.queue.smart_shuffle = True

# Queue Operations

# Adding Tracks

# Add to end
await player.queue.add(track)

# Add at position
await player.queue.add(track, position=1)

# Add multiple tracks
await player.queue.add_multiple([track1, track2, track3])

# Add with position
await player.queue.add_multiple([track1, track2], position=2)

# Removing Tracks

# Remove by position
removed_track = await player.queue.pop(1)

# Remove first track
first_track = await player.queue.pop()

# Clear entire queue
await player.queue.clear()

# Reordering

# Move track
player.queue.move(from_pos=0, to_pos=2)

# Shuffle
await player.queue.smart_shuffle()

# Adaptive reorder
await player.queue.perform_adaptive_reorder()

# Smart Features

# Adaptive Reorder

Automatically reorder queue based on metrics:

player.queue.enable_adaptive_reorder = True

# Triggers on track end, skip, etc.
await player.queue.perform_adaptive_reorder()

# Smart Shuffle

Preserves recently played tracks:

await player.queue.smart_shuffle()

# Keeps last 10 tracks from being shuffled immediately
recent_titles = {t.title for t in player.queue.history[-10:]}

# Skip Fatigue Detection

Prevents over-skipping of tracks:

# Tracks skipped more than threshold are avoided
player.queue.metrics.skip_fatigue_threshold = 3

if player.queue.metrics.is_skip_fatigued(track):
    # Skip this track in recommendations
    pass

# Queue Modes

# Normal Mode

Standard playback:

player.queue.loop_mode = "none"

# Track Loop

Repeat current track:

player.queue.loop_mode = "track"

# Queue Loop

Repeat entire queue:

player.queue.loop_mode = "queue"

# Autoplay Mode

Automatic recommendations:

player.queue.loop_mode = "autoplay"
player.autoplay.enabled = True

# Queue Views

# Different Perspectives

# Upcoming tracks
upcoming = player.queue.upcoming

# Playback history
history = player.queue.history

# Current + upcoming + history
all_tracks = player.queue.get_view("all")

# Limited view
recent_history = player.queue.get_view("history", limit=5)

# Metrics and Analytics

# Popularity Tracking

# Get most played tracks
heatmap = player.queue.get_heatmap()
print(f"Top tracks: {list(heatmap.keys())}")

# Track play/skip counts
plays = player.queue.metrics.track_plays
skips = player.queue.metrics.track_skips

# Session Memory

# Track similarity scores
player.queue.session_memory[track.identifier] = 0.85

# Use in recommendations
similar_tracks = [
    t for t in player.queue.upcoming
    if player.queue.session_memory.get(t.identifier, 0) > 0.7
]

# Advanced Operations

# Bulk Operations

# Import large playlist
tracks = await load_playlist("large_playlist.json")
await player.queue.add_multiple(tracks)

# Export queue
queue_data = {
    "current": player.queue.current,
    "upcoming": player.queue.upcoming,
    "history": player.queue.history
}

# Queue Cloning

# Create backup
backup_queue = player.queue.upcoming.copy()

# Restore
await player.queue.clear()
await player.queue.add_multiple(backup_queue)

# Queue Merging

# Merge two queues
other_queue = await load_saved_queue("party_playlist")
await player.queue.add_multiple(other_queue.upcoming)

# Performance Optimization

# Memory Management

# Limit queue size
player.queue.max_size = 1000

# Automatic cleanup
if len(player.queue.upcoming) > player.queue.max_size:
    # Remove oldest tracks
    excess = len(player.queue.upcoming) - player.queue.max_size
    for _ in range(excess):
        player.queue._upcoming.popleft()

# Batch Processing

# Process multiple operations atomically
async with player.queue._lock:
    await player.queue.add(track1)
    await player.queue.add(track2)
    await player.queue.move(0, 1)

# Error Handling

# Robust Operations

async def safe_queue_operation(operation):
    try:
        await operation()
    except asyncio.QueueFull:
        # Handle queue overflow
        await player.queue.pop(0)  # Remove oldest
        await operation()
    except IndexError:
        # Invalid position
        logger.warning("Invalid queue position")

# Integration Examples

# Discord Commands

@bot.command()
async def queue(ctx):
    """Show current queue"""
    embed = discord.Embed(title="Queue")
    embed.add_field(name="Current", value=player.queue.current.title, inline=False)

    upcoming = player.queue.upcoming[:10]
    if upcoming:
        queue_list = "\n".join(f"{i+1}. {t.title}" for i, t in enumerate(upcoming))
        embed.add_field(name="Upcoming", value=queue_list, inline=False)

    await ctx.send(embed=embed)

@bot.command()
async def shuffle(ctx):
    """Shuffle the queue"""
    await player.queue.smart_shuffle()
    await ctx.send("Queue shuffled! 🎵")

# Web Dashboard

@app.get("/api/queue")
async def get_queue():
    return {
        "current": player.queue.current,
        "upcoming": player.queue.upcoming,
        "history": player.queue.history[-5:],
        "length": player.queue.length,
        "loop_mode": player.queue.loop_mode
    }

@app.post("/api/queue/add")
async def add_to_queue(track_data: dict):
    track = Track(**track_data)
    await player.queue.add(track)
    return {"status": "added"}

# Best Practices

Use Smart Features: Enable adaptive reorder and smart shuffle for better UX
Monitor Performance: Watch memory usage with large queues
Handle Concurrency: Use locks for complex operations
Provide Feedback: Show queue changes to users
Implement Limits: Prevent queue abuse with size limits
Save State: Persist queue across restarts when possible
Error Recovery: Handle queue corruption gracefully
User Controls: Allow users to manage their queue

# Troubleshooting

# Common Issues

Queue Not Advancing

Check if player is connected
Verify tracks are valid
Check for stuck operations

Memory Issues

Implement size limits
Clear old history
Monitor queue growth

Concurrency Problems

Use proper locking
Avoid long operations in locks
Implement timeouts