Awesome-Python
Umfassende awesome-python-Befehle und Workflows für die Systemverwaltung auf allen Plattformen.
Grundlegende Befehle
| | Command | Description | |
| --- | --- |
| | awesome-python --version
| Show awesome-python version | |
| | awesome-python --help
| Display help information | |
| | awesome-python init
| Initialize awesome-python in current directory | |
| | awesome-python status
| Check current status | |
| | awesome-python list
| List available options | |
| | awesome-python info
| Display system information | |
| | awesome-python config
| Show configuration settings | |
| | awesome-python update
| Update to latest version | |
| | awesome-python start
| Start awesome-python service | |
| | awesome-python stop
| Stop awesome-python service | |
| | awesome-python restart
| Restart awesome-python service | |
| | awesome-python reload
| Reload configuration | |
Installation
Linux/Ubuntu
```bash
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
```bash
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
```powershell
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
```_
Konfiguration
| | Command | Description | |
| --- | --- |
| | awesome-python config show
| Display current configuration | |
| | awesome-python config list
| List all configuration options | |
| | awesome-python config set <key> <value>
| Set configuration value | |
| | awesome-python config get <key>
| Get configuration value | |
| | awesome-python config unset <key>
| Remove configuration value | |
| | awesome-python config reset
| Reset to default configuration | |
| | awesome-python config validate
| Validate configuration file | |
| | awesome-python config export
| Export configuration to file | |
Erweiterte Operationen
Dateioperationen
```bash
Create new file/resource
awesome-python create
Read file/resource
awesome-python read
Update existing file/resource
awesome-python update
Delete file/resource
awesome-python delete
Copy file/resource
awesome-python copy
Move file/resource
awesome-python move
List all files/resources
awesome-python list --all
Search for files/resources
awesome-python search
Netzwerkaktivitäten
```bash
Connect to remote host
awesome-python connect
Listen on specific port
awesome-python listen --port
Send data to target
awesome-python send --target
Receive data from source
awesome-python receive --source
Test connectivity
awesome-python ping
Scan network range
awesome-python scan
Monitor network traffic
awesome-python monitor --interface
Proxy connections
awesome-python proxy --listen
Prozessmanagement
```bash
Start background process
awesome-python start --daemon
Stop running process
awesome-python stop --force
Restart with new configuration
awesome-python restart --config
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
Sicherheitsmerkmale
Authentication
```bash
Login with username/password
awesome-python login --user
Login with API key
awesome-python login --api-key
Login with certificate
awesome-python login --cert
Logout current session
awesome-python logout
Change password
awesome-python passwd
Generate new API key
awesome-python generate-key --name
List active sessions
awesome-python sessions
Revoke session
awesome-python revoke --session
Verschlüsselung
```bash
Encrypt file
awesome-python encrypt --input
Decrypt file
awesome-python decrypt --input
Generate encryption key
awesome-python keygen --type
Sign file
awesome-python sign --input
Verify signature
awesome-python verify --input
Hash file
awesome-python hash --algorithm
Generate certificate
awesome-python cert generate --name
Verify certificate
awesome-python cert verify --cert
Überwachung und Protokollierung
Systemüberwachung
```bash
Monitor system resources
awesome-python monitor --system
Monitor specific process
awesome-python monitor --pid
Monitor network activity
awesome-python monitor --network
Monitor file changes
awesome-python monitor --files
Real-time monitoring
awesome-python monitor --real-time --interval 1
Generate monitoring report
awesome-python report --type monitoring --output
Set monitoring alerts
awesome-python alert --threshold
View monitoring history
awesome-python history --type monitoring ```_
Protokoll
```bash
View logs
awesome-python logs
View logs with filter
awesome-python logs --filter
Follow logs in real-time
awesome-python logs --follow
Set log level
awesome-python logs --level
Rotate logs
awesome-python logs --rotate
Export logs
awesome-python logs --export
Clear logs
awesome-python logs --clear
Archive logs
awesome-python logs --archive
Fehlerbehebung
Gemeinsame Themen
*Issue: Befehl nicht gefunden ```bash
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 ```_
Issue: Genehmigung verweigert ```bash
Run with elevated privileges
sudo awesome-python
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 ```_
*Issue: Konfigurationsfehler ```bash
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 ```_
*Issue: Service nicht starten * ```bash
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
Kill conflicting processes
awesome-python killall --force ```_
Debug Befehle
| | Command | Description | |
| --- | --- |
| | awesome-python --debug
| Enable debug output | |
| | awesome-python --verbose
| Enable verbose logging | |
| | awesome-python --trace
| Enable trace logging | |
| | awesome-python test
| Run built-in tests | |
| | awesome-python doctor
| Run system health check | |
| | awesome-python diagnose
| Generate diagnostic report | |
| | awesome-python benchmark
| Run performance benchmarks | |
| | awesome-python validate
| Validate installation and configuration | |
Leistungsoptimierung
Ressourcenmanagement
```bash
Set memory limit
awesome-python --max-memory 1G
Set CPU limit
awesome-python --max-cpu 2
Enable caching
awesome-python --cache-enabled
Set cache size
awesome-python --cache-size 100M
Clear cache
awesome-python cache clear
Show cache statistics
awesome-python cache stats
Optimize performance
awesome-python optimize --profile
Show performance metrics
awesome-python metrics ```_
Parallele Verarbeitung
```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
Integration
Schrift
```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 $?"
exit 1
fi
\\}
Cleanup function
cleanup() \\{ log "Cleaning up" awesome-python cleanup \\}
Set trap for cleanup
trap cleanup EXIT
Run main function
main "$@" ```_
API Integration
```python
!/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)) ```_
Umweltvariablen
| | Variable | Description | Default | |
| --- | --- | --- |
| | AWESOME-PYTHON_CONFIG
| Configuration file path | ~/.awesome-python/config.yaml
| |
| | AWESOME-PYTHON_HOME
| Home directory | ~/.awesome-python
| |
| | AWESOME-PYTHON_LOG_LEVEL
| Logging level | INFO
| |
| | AWESOME-PYTHON_LOG_FILE
| Log file path | ~/.awesome-python/logs/awesome-python.log
| |
| | AWESOME-PYTHON_CACHE_DIR
| Cache directory | ~/.awesome-python/cache
| |
| | AWESOME-PYTHON_DATA_DIR
| Data directory | ~/.awesome-python/data
| |
| | AWESOME-PYTHON_TIMEOUT
| Default timeout | 30s
| |
| | AWESOME-PYTHON_MAX_WORKERS
| Maximum workers | 4
| |
Datei konfigurieren
```yaml
~/.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 ```_
Beispiele
Basis-Workflow
```bash
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 ```_
Erweiterter Workflow
```bash
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 ```_
Automatisierungsbeispiel
```bash
!/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" ```_
Best Practices
Sicherheit
- Prüfsummen beim Herunterladen von Binaries immer überprüfen
- Verwenden Sie starke Authentifizierungsmethoden (API-Tasten, Zertifikate)
- Regelmäßig auf die neueste Version aktualisieren
- Prinzip der Mindestberechtigung
- Audit-Logging aktivieren für Compliance
- Verschlüsselte Verbindungen verwenden, wenn möglich
- Alle Eingänge und Konfigurationen validieren
- Implementierung richtiger Zugriffskontrollen
Leistung
- Verwenden Sie geeignete Ressourcengrenzen für Ihre Umwelt
- Systemleistung regelmäßig überwachen
- Optimieren Sie die Konfiguration für Ihren Anwendungsfall
- Parallele Verarbeitung verwenden, wenn nützlich
- Durchführung richtiger Cache-Strategien
- Regelmäßige Wartung und Reinigung
- Profilleistung Engpässe
- Verwenden Sie effiziente Algorithmen und Datenstrukturen
Betrieb
- umfassende Dokumentation
- Umsetzung richtiger Backup-Strategien
- Verwenden Sie die Versionssteuerung für Konfigurationen
- Monitor und Alarm auf kritischen Metriken
- Implementierung der richtigen Fehlerbehandlung
- Automatisierung für repetitive Aufgaben verwenden
- Regelmäßige Sicherheitsaudits und Updates
- Plan zur Katastrophenrückgewinnung
Entwicklung
- Befolgen Sie Kodierungsstandards und Konventionen
- Vollständige Tests schreiben
- Verwenden Sie die kontinuierliche Integration / Bereitstellung
- Durchführung einer ordnungsgemäßen Protokollierung und Überwachung
- Dokumente APIs und Schnittstellen
- Verwenden Sie die Versionskontrolle effektiv
- Prüfcode regelmäßig
- Rückwärtskompatibilität sichern
Ressourcen
Offizielle Dokumentation
- offizielle Website
- [Dokumentation](LINK_18 -%20[API%20Reference](LINK_18 -%20(LINK_18)
- Konfigurationsreferenz
Gemeinschaftsmittel
- GitHub Repository
- Issue Tracker
- [Gemeinschaftsforum](LINK_18 -%20(LINK_18)
- [Reddit Community](_LINK_18___ -%20Stack%20Overflow
Lernressourcen
- (LINK_18)
- (__LINK_18___)
- (LINK_18)
- Video-Tutorials
- (LINK_18)
- Zertifizierungsprogramm
In den Warenkorb
- Git - Komplementärfunktionalität
- Docker - Alternative Lösung
- Kubernetes - Integrationspartner
--
Letzte Aktualisierung: 2025-07-06|Bearbeiten auf GitHub