Awesome-Python
Commandes et workflows Python complets pour l’administration système sur toutes les plateformes.
Commandes de base
| Commande | Description |
|---|---|
awesome-python --version | Afficher la version de awesome-python |
awesome-python --help | Afficher les informations d’aide |
awesome-python init | Initialiser awesome-python dans le répertoire actuel |
awesome-python status | Vérifier le statut actuel |
awesome-python list | Lister les options disponibles |
awesome-python info | Afficher les informations système |
awesome-python config | Afficher les paramètres de configuration |
awesome-python update | Mettre à jour vers la dernière version |
awesome-python start | Démarrer le service awesome-python |
awesome-python stop | Arrêter le service awesome-python |
awesome-python restart | Redémarrer le service awesome-python |
awesome-python reload | Recharger la configuration |
Installation
Linux/Ubuntu
# Package manager installation
sudo apt update
sudo apt install awesome-python
# Alternative installation
wget https://github.com/example/awesome-python/releases/latest/download/awesome-python-linux
chmod +x awesome-python-linux
sudo mv awesome-python-linux /usr/local/bin/awesome-python
# Build from source
git clone https://github.com/example/awesome-python.git
cd awesome-python
make && sudo make install
macOS
# Homebrew installation
brew install awesome-python
# MacPorts installation
sudo port install awesome-python
# Manual installation
curl -L -o awesome-python https://github.com/example/awesome-python/releases/latest/download/awesome-python-macos
chmod +x awesome-python
sudo mv awesome-python /usr/local/bin/
Windows
# Chocolatey installation
choco install awesome-python
# Scoop installation
scoop install awesome-python
# Winget installation
winget install awesome-python
# Manual installation
# Download from https://github.com/example/awesome-python/releases
# Extract and add to PATH
Configuration
| Commande | Description |
|---|---|
awesome-python config show | Afficher la configuration actuelle |
awesome-python config list | Lister toutes les options de configuration |
awesome-python config set <key> <value> | Définir la valeur de configuration |
awesome-python config get <key> | Obtenir la valeur de configuration |
awesome-python config unset <key> | Supprimer la valeur de configuration |
awesome-python config reset | Réinitialiser à la configuration par défaut |
awesome-python config validate | Valider le fichier de configuration |
awesome-python config export | Exporter la configuration vers un fichier |
Opérations avancées
Opérations sur les fichiers
# Create new file/resource
awesome-python create <name>
# Read file/resource
awesome-python read <name>
# Update existing file/resource
awesome-python update <name>
# Delete file/resource
awesome-python delete <name>
# Copy file/resource
awesome-python copy <source> <destination>
# Move file/resource
awesome-python move <source> <destination>
# List all files/resources
awesome-python list --all
# Search for files/resources
awesome-python search <pattern>
Opérations réseau
# Connect to remote host
awesome-python connect <host>:<port>
# Listen on specific port
awesome-python listen --port <port>
# Send data to target
awesome-python send --target <host> --data "<data>"
# Receive data from source
awesome-python receive --source <host>
# Test connectivity
awesome-python ping <host>
# Scan network range
awesome-python scan <network>
# Monitor network traffic
awesome-python monitor --interface <interface>
# Proxy connections
awesome-python proxy --listen <port> --target <host>:<port>
Gestion des processus
# Start background process
awesome-python start --daemon
# Stop running process
awesome-python stop --force
# Restart with new configuration
awesome-python restart --config <file>
# Check process status
awesome-python status --verbose
# Monitor process performance
awesome-python monitor --metrics
# Kill all processes
awesome-python killall
# Show running processes
awesome-python ps
# Manage process priority
awesome-python priority --pid <pid> --level <level>
Fonctionnalités de sécurité
Authentification
# Login with username/password
awesome-python login --user <username>
# Login with API key
awesome-python login --api-key <key>
# Login with certificate
awesome-python login --cert <cert_file>
# Logout current session
awesome-python logout
# Change password
awesome-python passwd
# Generate new API key
awesome-python generate-key --name <key_name>
# List active sessions
awesome-python sessions
# Revoke session
awesome-python revoke --session <session_id>
Chiffrement
# Encrypt file
awesome-python encrypt --input <file> --output <encrypted_file>
# Decrypt file
awesome-python decrypt --input <encrypted_file> --output <file>
# Generate encryption key
awesome-python keygen --type <type> --size <size>
# Sign file
awesome-python sign --input <file> --key <private_key>
# Verify signature
awesome-python verify --input <file> --signature <sig_file>
# Hash file
awesome-python hash --algorithm <algo> --input <file>
# Generate certificate
awesome-python cert generate --name <name> --days <days>
# Verify certificate
awesome-python cert verify --cert <cert_file>
Surveillance et journalisation
Surveillance système
# Monitor system resources
awesome-python monitor --system
# Monitor specific process
awesome-python monitor --pid <pid>
# Monitor network activity
awesome-python monitor --network
# Monitor file changes
awesome-python monitor --files <directory>
# Real-time monitoring
awesome-python monitor --real-time --interval 1
# Generate monitoring report
awesome-python report --type monitoring --output <file>
# Set monitoring alerts
awesome-python alert --threshold <value> --action <action>
# View monitoring history
awesome-python history --type monitoring
Journalisation
# View logs
awesome-python logs
# View logs with filter
awesome-python logs --filter <pattern>
# Follow logs in real-time
awesome-python logs --follow
# Set log level
awesome-python logs --level <level>
# Rotate logs
awesome-python logs --rotate
# Export logs
awesome-python logs --export <file>
# Clear logs
awesome-python logs --clear
# Archive logs
awesome-python logs --archive <archive_file>
Dépannage
Problèmes courants
Problème : Commande non trouvée
# Check if awesome-python is installed
which awesome-python
awesome-python --version
# Check PATH variable
echo $PATH
# Reinstall if necessary
sudo apt reinstall awesome-python
# or
brew reinstall awesome-python
Problème : Permission refusée
# Run with elevated privileges
sudo awesome-python <command>
# Check file permissions
ls -la $(which awesome-python)
# Fix permissions
chmod +x /usr/local/bin/awesome-python
# Check ownership
sudo chown $USER:$USER /usr/local/bin/awesome-python
Problème : Erreurs de configuration
# Validate configuration
awesome-python config validate
# Reset to default configuration
awesome-python config reset
# Check configuration file location
awesome-python config show --file
# Backup current configuration
awesome-python config export > backup.conf
# Restore from backup
awesome-python config import backup.conf
Problème : Service ne démarre pas
# Check service status
awesome-python status --detailed
# Check system logs
journalctl -u awesome-python
# Start in debug mode
awesome-python start --debug
# Check port availability
netstat -tulpn|grep <port>
# Kill conflicting processes
awesome-python killall --force
Commandes de débogage
| Commande | Description |
|---|---|
awesome-python --debug | Activer la sortie de débogage |
awesome-python --verbose | Activer la journalisation détaillée |
awesome-python --trace | Activer la journalisation des traces |
awesome-python test | Exécuter les tests intégrés |
awesome-python doctor | Exécuter la vérification de santé du système |
awesome-python diagnose | Générer un rapport de diagnostic |
awesome-python benchmark | Exécuter des benchmarks de performance |
awesome-python validate | Valider l’installation et la configuration |
Optimisation des performances
Gestion des ressources
# Set memory limit
awesome-python --max-memory 1G <command>
# Set CPU limit
awesome-python --max-cpu 2 <command>
# Enable caching
awesome-python --cache-enabled <command>
# Set cache size
awesome-python --cache-size 100M <command>
# Clear cache
awesome-python cache clear
# Show cache statistics
awesome-python cache stats
# Optimize performance
awesome-python optimize --profile <profile>
# Show performance metrics
awesome-python metrics
Traitement parallèle
Would you like me to proceed with translating the specific content for each numbered section?```bash
Enable parallel processing
awesome-python —parallel
Set number of workers
awesome-python —workers 4
Process in batches
awesome-python —batch-size 100
Queue management
awesome-python queue add
## Intégration
### Scripting
```bash
#!/bin/bash
# Example script using awesome-python
set -euo pipefail
# Configuration
CONFIG_FILE="config.yaml"
LOG_FILE="awesome-python.log"
# Check if awesome-python is available
if ! command -v awesome-python &> /dev/null; then
echo "Error: awesome-python is not installed" >&2
exit 1
fi
# Function to log messages
log() \\\\{
echo "$(date '+%Y-%m-%d %H:%M:%S') - $1"|tee -a "$LOG_FILE"
\\\\}
# Main operation
main() \\\\{
log "Starting awesome-python operation"
if awesome-python --config "$CONFIG_FILE" run; then
log "Operation completed successfully"
exit 0
else
log "Operation failed with exit code $?"
exit 1
fi
\\\\}
# Cleanup function
cleanup() \\\\{
log "Cleaning up"
awesome-python cleanup
\\\\}
# Set trap for cleanup
trap cleanup EXIT
# Run main function
main "$@"
Intégration d’API
#!/usr/bin/env python3
"""
Python wrapper for the tool
"""
import subprocess
import json
import logging
from pathlib import Path
from typing import Dict, List, Optional
class ToolWrapper:
def __init__(self, config_file: Optional[str] = None):
self.config_file = config_file
self.logger = logging.getLogger(__name__)
def run_command(self, args: List[str]) -> Dict:
"""Run command and return parsed output"""
cmd = ['tool_name']
if self.config_file:
cmd.extend(['--config', self.config_file])
cmd.extend(args)
try:
result = subprocess.run(
cmd,
capture_output=True,
text=True,
check=True
)
return \\\\{'stdout': result.stdout, 'stderr': result.stderr\\\\}
except subprocess.CalledProcessError as e:
self.logger.error(f"Command failed: \\\\{e\\\\}")
raise
def status(self) -> Dict:
"""Get current status"""
return self.run_command(['status'])
def start(self) -> Dict:
"""Start service"""
return self.run_command(['start'])
def stop(self) -> Dict:
"""Stop service"""
return self.run_command(['stop'])
# Example usage
if __name__ == "__main__":
wrapper = ToolWrapper()
status = wrapper.status()
print(json.dumps(status, indent=2))
Variables d’environnement
| Variable | Description | Défaut |
|---|---|---|
AWESOME-PYTHON_CONFIG | Chemin du fichier de configuration | ~/.awesome-python/config.yaml |
AWESOME-PYTHON_HOME | Répertoire personnel | ~/.awesome-python |
AWESOME-PYTHON_LOG_LEVEL | Niveau de journalisation | INFO |
AWESOME-PYTHON_LOG_FILE | Chemin du fichier journal | ~/.awesome-python/logs/awesome-python.log |
AWESOME-PYTHON_CACHE_DIR | Répertoire de cache | ~/.awesome-python/cache |
AWESOME-PYTHON_DATA_DIR | Répertoire de données | ~/.awesome-python/data |
AWESOME-PYTHON_TIMEOUT | Délai par défaut | 30s |
AWESOME-PYTHON_MAX_WORKERS | Travailleurs maximum | 4 |
Fichier de configuration
# ~/.awesome-python/config.yaml
version: "1.0"
# General settings
settings:
debug: false
verbose: false
log_level: "INFO"
log_file: "~/.awesome-python/logs/awesome-python.log"
timeout: 30
max_workers: 4
# Network configuration
network:
host: "localhost"
port: 8080
ssl: true
timeout: 30
retries: 3
# Security settings
security:
auth_required: true
api_key: ""
encryption: "AES256"
verify_ssl: true
# Performance settings
performance:
cache_enabled: true
cache_size: "100M"
cache_dir: "~/.awesome-python/cache"
max_memory: "1G"
# Monitoring settings
monitoring:
enabled: true
interval: 60
metrics_enabled: true
alerts_enabled: true
Exemples
Workflow de base
# 1. Initialize awesome-python
awesome-python init
# 2. Configure basic settings
awesome-python config set host example.com
awesome-python config set port 8080
# 3. Start service
awesome-python start
# 4. Check status
awesome-python status
# 5. Perform operations
awesome-python run --target example.com
# 6. View results
awesome-python results
# 7. Stop service
awesome-python stop
Workflow avancé
# Comprehensive operation with monitoring
awesome-python run \
--config production.yaml \
--parallel \
--workers 8 \
--verbose \
--timeout 300 \
--output json \
--log-file operation.log
# Monitor in real-time
awesome-python monitor --real-time --interval 5
# Generate report
awesome-python report --type comprehensive --output report.html
Exemple d’automatisation
#!/bin/bash
# Automated awesome-python workflow
# Configuration
TARGETS_FILE="targets.txt"
RESULTS_DIR="results/$(date +%Y-%m-%d)"
CONFIG_FILE="automation.yaml"
# Create results directory
mkdir -p "$RESULTS_DIR"
# Process each target
while IFS= read -r target; do
echo "Processing $target..."
awesome-python \
--config "$CONFIG_FILE" \
--output json \
--output-file "$RESULTS_DIR/$\\\\{target\\\\}.json" \
run "$target"
done < "$TARGETS_FILE"
# Generate summary report
awesome-python report summary \
--input "$RESULTS_DIR/*.json" \
--output "$RESULTS_DIR/summary.html"
Meilleures pratiques
Sécurité
- Toujours vérifier les sommes de contrôle lors du téléchargement de binaires
- Utiliser des méthodes d’authentification robustes (clés API, certificats)
- Mettre à jour régulièrement vers la dernière version
- Suivre le principe du moindre privilège
- Activer la journalisation d’audit pour la conformité
- Utiliser des connexions chiffrées si possible
- Valider tous les intrants et configurations
- Implémenter des contrôles d’accès appropriés
Performance
- Utiliser des limites de ressources appropriées pour votre environnement
- Surveiller régulièrement les performances du système
- Optimiser la configuration pour votre cas d’utilisation
- Utiliser le traitement parallèle quand c’est bénéfique
- Implémenter des stratégies de mise en cache appropriées
- Maintenance et nettoyage réguliers
- Profiler les goulots d’étranglement de performance
- Utiliser des algorithmes et structures de données efficaces
Opérationnel
- Maintenir une documentation complète
- Implémenter des stratégies de sauvegarde appropriées
- Utiliser le contrôle de version pour les configurations
- Surveiller et alerter sur les métriques critiques
- Implémenter une gestion d’erreurs appropriée
- Utiliser l’automatisation pour les tâches répétitives
- Audits de sécurité et mises à jour réguliers
- Planifier la reprise après sinistre
Développement
- Suivre les normes et conventions de codage
- Écrire des tests complets
- Utiliser l’intégration/déploiement continu
- Implémenter une journalisation et un monitoring appropriés
- Documenter les API et interfaces
- Utiliser efficacement le contrôle de version
- Revoir le code régulièrement
- Maintenir la compatibilité ascendante
Ressources
Documentation officielle
Ressources communautaires
- Dépôt GitHub
- Suivi des problèmes
- Forum communautaire
- Serveur Discord
- Communauté Reddit
- Stack Overflow
Ressources d’apprentissage
- Guide de démarrage
- Série de tutoriels [Guide des Meilleures Pratiques]https://docs.example.com/awesome-python/best-practices[Tutoriels Vidéo]https://youtube.com/c/awesome-python[Cours de Formation]https://training.example.com/awesome-python[Programme de Certification]https://certification.example.com/awesome-python
Outils Connexes
- Git - Fonctionnalité complémentaire
- Docker - Solution alternative
- Kubernetes - Partenaire d’intégration
*Dernière mise à jour : 2025-07-06|Modifier sur GitHubhttps://github.com/perplext/1337skills/edit/main/docs/cheatsheets/awesome-python.md)