Censys-Python¶

_

Umfassende censys-python Befehle und Workflows für die Systemverwaltung auf allen Plattformen.

oder Grundlegende Befehle

Command	Description
INLINE_CODE_22	Show censys-python version
INLINE_CODE_23	Display help information
INLINE_CODE_24	Initialize censys-python in current directory
INLINE_CODE_25	Check current status
INLINE_CODE_26	List available options
INLINE_CODE_27	Display system information
INLINE_CODE_28	Show configuration settings
INLINE_CODE_29	Update to latest version
INLINE_CODE_30	Start censys-python service
INLINE_CODE_31	Stop censys-python service
INLINE_CODE_32	Restart censys-python service
INLINE_CODE_33	Reload configuration

• Installation

Linux/Ubuntu¶

# Package manager installation
sudo apt update
sudo apt install censys-python

# Alternative installation
wget https://github.com/example/censys-python/releases/latest/download/censys-python-linux
chmod +x censys-python-linux
sudo mv censys-python-linux /usr/local/bin/censys-python

# Build from source
git clone https://github.com/example/censys-python.git
cd censys-python
make && sudo make install
```_

### macOS
```bash
# Homebrew installation
brew install censys-python

# MacPorts installation
sudo port install censys-python

# Manual installation
curl -L -o censys-python https://github.com/example/censys-python/releases/latest/download/censys-python-macos
chmod +x censys-python
sudo mv censys-python /usr/local/bin/
```_

### Windows
```powershell
# Chocolatey installation
choco install censys-python

# Scoop installation
scoop install censys-python

# Winget installation
winget install censys-python

# Manual installation
# Download from https://github.com/example/censys-python/releases
# Extract and add to PATH
```_

Konfiguration

|Command|Description|
|---------|-------------|
|__INLINE_CODE_34__|Display current configuration|
|__INLINE_CODE_35__|List all configuration options|
|__INLINE_CODE_36__|Set configuration value|
|__INLINE_CODE_37__|Get configuration value|
|__INLINE_CODE_38__|Remove configuration value|
|__INLINE_CODE_39__|Reset to default configuration|
|__INLINE_CODE_40__|Validate configuration file|
|__INLINE_CODE_41__|Export configuration to file|
_
Fortgeschrittene Aktivitäten

### Dateioperationen
```bash
# Create new file/resource
censys-python create <name>

# Read file/resource
censys-python read <name>

# Update existing file/resource
censys-python update <name>

# Delete file/resource
censys-python delete <name>

# Copy file/resource
censys-python copy <source> <destination>

# Move file/resource
censys-python move <source> <destination>

# List all files/resources
censys-python list --all

# Search for files/resources
censys-python search <pattern>
```_

### Network Operations
```bash
# Connect to remote host
censys-python connect <host>:<port>

# Listen on specific port
censys-python listen --port <port>

# Send data to target
censys-python send --target <host> --data "<data>"

# Receive data from source
censys-python receive --source <host>

# Test connectivity
censys-python ping <host>

# Scan network range
censys-python scan <network>

# Monitor network traffic
censys-python monitor --interface <interface>

# Proxy connections
censys-python proxy --listen <port> --target <host>:<port>
```_

### Process Management
```bash
# Start background process
censys-python start --daemon

# Stop running process
censys-python stop --force

# Restart with new configuration
censys-python restart --config <file>

# Check process status
censys-python status --verbose

# Monitor process performance
censys-python monitor --metrics

# Kill all processes
censys-python killall

# Show running processes
censys-python ps

# Manage process priority
censys-python priority --pid <pid> --level <level>
```_

Â Sicherheitsmerkmale

### Authentication
```bash
# Login with username/password
censys-python login --user <username>

# Login with API key
censys-python login --api-key <key>

# Login with certificate
censys-python login --cert <cert_file>

# Logout current session
censys-python logout

# Change password
censys-python passwd

# Generate new API key
censys-python generate-key --name <key_name>

# List active sessions
censys-python sessions

# Revoke session
censys-python revoke --session <session_id>
```_

### Verschlüsselung
```bash
# Encrypt file
censys-python encrypt --input <file> --output <encrypted_file>

# Decrypt file
censys-python decrypt --input <encrypted_file> --output <file>

# Generate encryption key
censys-python keygen --type <type> --size <size>

# Sign file
censys-python sign --input <file> --key <private_key>

# Verify signature
censys-python verify --input <file> --signature <sig_file>

# Hash file
censys-python hash --algorithm <algo> --input <file>

# Generate certificate
censys-python cert generate --name <name> --days <days>

# Verify certificate
censys-python cert verify --cert <cert_file>
```_

Überwachung und Protokollierung

### System Monitoring
```bash
# Monitor system resources
censys-python monitor --system

# Monitor specific process
censys-python monitor --pid <pid>

# Monitor network activity
censys-python monitor --network

# Monitor file changes
censys-python monitor --files <directory>

# Real-time monitoring
censys-python monitor --real-time --interval 1

# Generate monitoring report
censys-python report --type monitoring --output <file>

# Set monitoring alerts
censys-python alert --threshold <value> --action <action>

# View monitoring history
censys-python history --type monitoring
```_

### Logging
```bash
# View logs
censys-python logs

# View logs with filter
censys-python logs --filter <pattern>

# Follow logs in real-time
censys-python logs --follow

# Set log level
censys-python logs --level <level>

# Rotate logs
censys-python logs --rotate

# Export logs
censys-python logs --export <file>

# Clear logs
censys-python logs --clear

# Archive logs
censys-python logs --archive <archive_file>
```_

Fehlerbehebung

### Häufige Fragen

**Issue: Befehl nicht gefunden*
```bash
# Check if censys-python is installed
which censys-python
censys-python --version

# Check PATH variable
echo $PATH

# Reinstall if necessary
sudo apt reinstall censys-python
# or
brew reinstall censys-python
```_

**Issue: Genehmigung verweigert**
```bash
# Run with elevated privileges
sudo censys-python <command>

# Check file permissions
ls -la $(which censys-python)

# Fix permissions
chmod +x /usr/local/bin/censys-python

# Check ownership
sudo chown $USER:$USER /usr/local/bin/censys-python
```_

**Issue: Konfigurationsfehler*
```bash
# Validate configuration
censys-python config validate

# Reset to default configuration
censys-python config reset

# Check configuration file location
censys-python config show --file

# Backup current configuration
censys-python config export > backup.conf

# Restore from backup
censys-python config import backup.conf
```_

**Issue: Service nicht starten* *
```bash
# Check service status
censys-python status --detailed

# Check system logs
journalctl -u censys-python

# Start in debug mode
censys-python start --debug

# Check port availability
netstat -tulpn|grep <port>

# Kill conflicting processes
censys-python killall --force
```_

### Debug Commands

|Command|Description|
|---------|-------------|
|__INLINE_CODE_42__|Enable debug output|
|__INLINE_CODE_43__|Enable verbose logging|
|__INLINE_CODE_44__|Enable trace logging|
|__INLINE_CODE_45__|Run built-in tests|
|__INLINE_CODE_46__|Run system health check|
|__INLINE_CODE_47__|Generate diagnostic report|
|__INLINE_CODE_48__|Run performance benchmarks|
|__INLINE_CODE_49__|Validate installation and configuration|

Â Leistungsoptimierung

### Resource Management
```bash
# Set memory limit
censys-python --max-memory 1G <command>

# Set CPU limit
censys-python --max-cpu 2 <command>

# Enable caching
censys-python --cache-enabled <command>

# Set cache size
censys-python --cache-size 100M <command>

# Clear cache
censys-python cache clear

# Show cache statistics
censys-python cache stats

# Optimize performance
censys-python optimize --profile <profile>

# Show performance metrics
censys-python metrics
```_

### Parallel Processing
```bash
# Enable parallel processing
censys-python --parallel <command>

# Set number of workers
censys-python --workers 4 <command>

# Process in batches
censys-python --batch-size 100 <command>

# Queue management
censys-python queue add <item>
censys-python queue process
censys-python queue status
censys-python queue clear
```_

Integration

### Scripting
```bash
#!/bin/bash
# Example script using censys-python

set -euo pipefail

# Configuration
CONFIG_FILE="config.yaml"
LOG_FILE="censys-python.log"

# Check if censys-python is available
if ! command -v censys-python &> /dev/null; then
    echo "Error: censys-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 censys-python operation"

    if censys-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"
    censys-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|
|----------|-------------|---------|
|__INLINE_CODE_50__|Configuration file path|__INLINE_CODE_51__|
|__INLINE_CODE_52__|Home directory|__INLINE_CODE_53__|
|__INLINE_CODE_54__|Logging level|__INLINE_CODE_55__|
|__INLINE_CODE_56__|Log file path|__INLINE_CODE_57__|
|__INLINE_CODE_58__|Cache directory|__INLINE_CODE_59__|
|__INLINE_CODE_60__|Data directory|__INLINE_CODE_61__|
|__INLINE_CODE_62__|Default timeout|__INLINE_CODE_63__|
|__INLINE_CODE_64__|Maximum workers|__INLINE_CODE_65__|

Datei konfigurieren

```yaml
# ~/.censys-python/config.yaml
version: "1.0"

# General settings
settings:
  debug: false
  verbose: false
  log_level: "INFO"
  log_file: "~/.censys-python/logs/censys-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: "~/.censys-python/cache"
  max_memory: "1G"

# Monitoring settings
monitoring:
  enabled: true
  interval: 60
  metrics_enabled: true
  alerts_enabled: true

Beispiele

Basis-Workflow¶

```bash

1. Initialize censys-python¶

censys-python init

2. Configure basic settings¶

censys-python config set host example.com censys-python config set port 8080

3. Start service¶

censys-python start

4. Check status¶

censys-python status

5. Perform operations¶

censys-python run --target example.com

6. View results¶

censys-python results

7. Stop service¶

censys-python stop ```_

Advanced Workflow¶

```bash

Comprehensive operation with monitoring¶

censys-python run \ --config production.yaml \ --parallel \ --workers 8 \ --verbose \ --timeout 300 \ --output json \ --log-file operation.log

Monitor in real-time¶

censys-python monitor --real-time --interval 5

Generate report¶

censys-python report --type comprehensive --output report.html ```_

Automation Beispiel¶

```bash

!/bin/bash¶

Automated censys-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..."

censys-python \
    --config "$CONFIG_FILE" \
    --output json \
    --output-file "$RESULTS_DIR/$\\\\{target\\\\}.json" \
    run "$target"

done < "$TARGETS_FILE"

Generate summary report¶

censys-python report summary \ --input "$RESULTS_DIR/*.json" \ --output "$RESULTS_DIR/summary.html" ```_

oder Best Practices

Sicherheit¶

Überprüfen Sie immer Prüfsummen beim Herunterladen von Binaries
Verwenden Sie starke Authentifizierungsmethoden (API-Tasten, Zertifikate)
Regelmäßig auf die neueste Version aktualisieren
Prinzip der Mindestberechtigung
Aktivieren Sie Auditprotokoll für Compliance
Verwenden Sie verschlüsselte Verbindungen, wenn möglich
Alle Eingänge und Konfigurationen validieren
Implementierung der richtigen Zugangskontrollen

Performance¶

Verwenden Sie geeignete Ressourcengrenzen für Ihre Umwelt
Systemleistung regelmäßig überwachen
Optimieren Sie die Konfiguration für Ihren Anwendungsfall
Verwenden Sie parallele Verarbeitung, wenn nützlich
Durchführung richtiger Cache-Strategien
Regelmäßige Wartung und Reinigung
Profilleistung Engpässe
Verwenden Sie effiziente Algorithmen und Datenstrukturen

Operational¶

umfassende Dokumentation
Implementierung von richtigen Backup-Strategien
Verwenden Sie die Versionssteuerung für Konfigurationen
Überwachung und Alarmierung von kritischen Metriken
Implementierung einer korrekten 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 der richtigen Protokollierung und Überwachung
Dokumente APIs und Schnittstellen
Verwenden Sie die Versionskontrolle effektiv
Prüfcode regelmäßig
Rückwärtskompatibilität sichern

Ressourcen

Git - Komplementärfunktionalität
(docker.md) - Alternative Lösung
Kubernetes - Integrationspartner

--

Letzte Aktualisierung: 2025-07-06|Bearbeiten auf GitHub

Censys-Python¶

Linux/Ubuntu¶

Basis-Workflow¶

1. Initialize censys-python¶

2. Configure basic settings¶

3. Start service¶

4. Check status¶

5. Perform operations¶

6. View results¶

7. Stop service¶

Advanced Workflow¶

Comprehensive operation with monitoring¶

Monitor in real-time¶

Generate report¶

Automation Beispiel¶

!/bin/bash¶

Automated censys-python workflow¶

Configuration¶

Create results directory¶

Process each target¶

Generate summary report¶

Sicherheit¶

Performance¶

Operational¶

Entwicklung¶

Offizielle Dokumentation¶

Community Resources¶

Lernressourcen¶

Related Tools¶