Trixy3/requirements-server.txt

# Trixy Voice Assistant - Server Requirements
# ==========================================
# Full server deployment with all features including TUI, plugins, ML inference
# Includes base requirements plus server-specific components

# Include base requirements
-r requirements.txt

# Textual TUI Framework
textual>=0.40.0            # Modern TUI framework for server interface
rich>=12.0.0               # Already in base, rich text rendering for TUI

# Advanced ML inference (server handles ML processing)
torch>=1.11.0,<2.0.0      # Already in base, PyTorch for ML models
torchaudio>=0.11.0,<1.0.0  # Already in base, audio processing
onnx>=1.12.0               # ONNX model format support
onnxruntime>=1.12.0        # ONNX runtime for optimized inference

# Advanced audio processing for server-side STT/TTS
librosa>=0.9.0             # Advanced audio analysis
scipy>=1.7.0               # Scientific computing for signal processing
soundfile>=0.10.3          # Already in base, audio file I/O
resampy>=0.2.2             # High-quality audio resampling

# Speech-to-Text integration
speechbrain>=0.5.0         # SpeechBrain toolkit
transformers>=4.15.0       # Hugging Face transformers for STT models
datasets>=2.0.0            # Hugging Face datasets for model data

# Text-to-Speech integration
espnet>=202207             # ESPnet for TTS capabilities
coqui-tts>=0.13.0          # Coqui TTS engine
piper-tts>=1.0.0           # Piper TTS (lightweight alternative)

# Voice Activity Detection
webrtcvad>=2.0.0           # WebRTC VAD
silero-vad>=4.0.0          # Silero VAD models

# Advanced voice recognition and speaker identification
pyannote.audio>=2.0.0      # Speaker diarization
pyannote.core>=4.5.0       # Core utilities for pyannote
speechrecognition>=3.8.0   # Generic speech recognition wrapper

# Plugin system and dynamic loading
importlib-metadata>=4.11.0 # Package metadata for plugin discovery
pkgutil-style>=1.0.0       # Plugin discovery utilities (if available)

# Web API framework for plugin interfaces
fastapi>=0.75.0            # Web API framework
uvicorn>=0.17.0            # ASGI server
starlette>=0.19.0          # Web framework components
pydantic>=1.8.0,<2.0.0     # Already in base, data validation

# Database support for plugin data storage
sqlalchemy>=1.4.0          # SQL toolkit and ORM
aiosqlite>=0.17.0          # Async SQLite support
alembic>=1.7.0             # Database migrations

# Caching and session management
redis>=4.1.0               # Redis client for caching
aioredis>=2.0.0            # Async Redis client

# Advanced networking and protocol handling
aiohttp>=3.8.0             # Async HTTP client/server
websockets>=10.0           # WebSocket support for real-time communication
httpx>=0.23.0              # Modern HTTP client

# Scheduling and task management
celery>=5.2.0              # Distributed task queue
croniter>=1.3.0            # Cron expression parsing
apscheduler>=3.9.0         # Advanced Python scheduler

# Configuration management
dynaconf>=3.1.0            # Advanced configuration management
python-decouple>=3.6       # Environment configuration
configparser-crypt>=1.0.0  # Encrypted configuration (if available)

# Monitoring and metrics
prometheus-client>=0.13.0  # Metrics collection
psutil>=5.8.0              # Already in base, system monitoring
gpustat>=1.0.0             # GPU monitoring (if applicable)
py-cpuinfo>=8.0.0          # CPU information

# Logging and observability
structlog>=21.0.0          # Already in base, structured logging
loguru>=0.6.0              # Enhanced logging
python-json-logger>=2.0.0  # JSON logging format
elastic-apm>=6.9.0         # APM monitoring (optional)

# Advanced cryptography for model protection and communication
cryptography>=3.4.8       # Already in base, enhanced cryptography
pynacl>=1.5.0              # Modern cryptography library
cryptography-vectors>=3.4.8  # Test vectors for cryptography

# Asset management and file handling
aiofiles>=0.8.0            # Async file operations
pathspec>=0.9.0            # Path specification utilities
send2trash>=1.8.0          # Safe file deletion

# Internationalization
babel>=2.9.0               # I18n utilities
flufl.i18n>=3.1.0          # Enhanced i18n support

# Advanced data processing
pandas>=1.3.0              # Data manipulation (for analytics)
arrow>=1.2.0               # Better date/time handling
python-dateutil>=2.8.0    # Already in base, date utilities

# Security and authentication
passlib>=1.7.0             # Password hashing
python-jose>=3.3.0         # JWT handling
python-multipart>=0.0.5    # Multipart form handling
authlib>=1.0.0             # OAuth and authentication

# Email notifications (for alerts)
aiosmtplib>=1.1.0          # Async SMTP client
premailer>=3.10.0          # HTML email preprocessing

# Document processing (for configuration docs)
markdown>=3.3.0            # Markdown processing
mistune>=2.0.0             # Fast markdown parser
pymdown-extensions>=9.0.0  # Markdown extensions

# Advanced audio codecs and formats
pydub>=0.25.1              # Audio manipulation
ffmpeg-python>=0.2.0       # FFmpeg bindings
mutagen>=1.45.0            # Audio metadata handling

# Machine learning utilities for server-side processing
scikit-learn>=1.0.0        # Already in base, ML utilities
joblib>=1.1.0              # Parallel processing and persistence
numpy>=1.21.0,<2.0.0       # Already in base, numerical computing

# Real-time audio processing
pyaudio>=0.2.11            # Real-time audio I/O
sounddevice>=0.4.0         # Audio device interface
rtaudio>=0.1.0             # Real-time audio

# Network discovery and service advertisement
zeroconf>=0.38.0           # Bonjour/Avahi service discovery
mdns>=1.0.0                # mDNS service registration

# Protocol buffers for efficient communication
protobuf>=3.19.0           # Protocol buffers
grpcio>=1.44.0             # gRPC framework (if used)

# Message queues and communication
pika>=1.2.0                # RabbitMQ client
aiokafka>=0.7.0            # Kafka client (if using Kafka)

# Advanced serialization
msgpack>=1.0.0             # Efficient binary serialization
orjson>=3.6.0              # Fast JSON library
ujson>=5.1.0               # Ultra-fast JSON

# Template engine for dynamic content
jinja2>=3.0.0              # Template engine
markupsafe>=2.1.0          # Safe string handling

# HTTP utilities and middleware
starlette-middleware>=0.1.0  # Additional middleware (if available)
slowapi>=0.1.0             # Rate limiting
starlette-prometheus>=0.9.0  # Prometheus metrics

# WebSocket extensions
websocket-client>=1.3.0    # WebSocket client utilities

# Advanced file watching
watchfiles>=0.15.0         # Fast file watching (Rust-based)

# Memory and performance optimization
pympler>=0.9               # Memory analysis
line-profiler>=3.5.0       # Performance profiling
memory-profiler>=0.60.0    # Already in base, memory profiling

# Container and deployment support
gunicorn>=20.1.0           # WSGI HTTP server
gevent>=21.12.0            # Async networking

# Development and debugging utilities (production-safe)
devtools>=0.8.0            # Development utilities
icecream>=2.1.0            # Enhanced debugging output

# Optional: Enterprise features
# ldap3>=2.9.0             # LDAP authentication
# python-keycloak>=2.6.0   # Keycloak integration

# System integration
systemd-python>=234        # systemd integration (Linux)
python-daemon>=2.3.0       # Unix daemon support

# Advanced error handling and recovery
tenacity>=8.0.0            # Retry utilities
circuit-breaker>=1.0.0     # Circuit breaker pattern

# API documentation
redoc>=0.1.0               # API documentation
swagger-ui-bundle>=0.1.0   # Swagger UI

# Content delivery and caching
aiohttp-cache>=0.1.0       # HTTP caching (if available)
diskcache>=5.4.0           # Disk-based caching

# Background task processing
dramatiq>=1.12.0           # Background task processing
huey>=2.4.0                # Lightweight task queue

# Hardware abstraction
gpiozero>=1.6.0            # GPIO control (Raspberry Pi) - optional
adafruit-circuitpython-*   # Hardware libraries (optional)

# System requirements:
# - Sufficient RAM (minimum 2GB, recommended 4GB+)
# - CPU with AVX support for optimized ML inference
# - GPU support (optional, for CUDA acceleration)
# - Audio system (ALSA/PulseAudio on Linux)
# - Network interfaces for client connections
# - Storage for models, logs, and plugin data

# Installation:
# pip install -r requirements-server.txt
# 
# For GPU support:
# pip install torch torchaudio --index-url https://download.pytorch.org/whl/cu118
# 
# For production deployment:
# pip install -r requirements-server.txt gunicorn[gevent]
# 
# System packages (Ubuntu/Debian):
# sudo apt-get install portaudio19-dev python3-pyaudio libasound2-dev
# sudo apt-get install redis-server  # If using Redis
# sudo apt-get install ffmpeg        # For audio processing

# Performance notes:
# - Use Redis for caching and session storage
# - Configure asyncio event loop policy for better performance
# - Use gunicorn with gevent workers for production
# - Consider NVIDIA TensorRT for GPU inference optimization
# - Use connection pooling for database connections

# Approximate install size: ~2-3GB (full ML + server environment)