SimpleColoredLogs 1.2.3

Ein vollständiger, produktionsreifer Logger mit erweiterten Features für Python-Anwendungen und Discord Bots.

Professional Terminal Logger

Ein vollständiger, produktionsreifer Logger mit erweiterten Features für Python-Anwendungen und Discord Bots.

🚀 Features

• 🎨 Farbige Terminal-Ausgabe mit 162 vordefinierten Kategorien
• 📁 File-Logging mit automatischer Rotation und Kompression
• 🎯 13 Log-Levels von TRACE bis SECURITY mit Status-Tracking
• 🧵 Thread-safe mit Lock-Mechanismus
• 📊 Multiple Output-Formate (Simple, Standard, Detailed, JSON)
• 🔒 Sensitive Data Redaction (Passwörter, API-Keys, Tokens)
• 🌐 Correlation IDs für Request-Tracing über Microservices
• 🏥 Health Checks & Prometheus Metrics Export
• 🤖 24 Discord-spezifische Kategorien für Bot-Entwicklung

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📦 Installation

pip install SimpleColoredLogs

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🎯 Quick Start

Basic Usage

from logs import Logs, LogLevel, Category

# Konfiguration
Logs.configure(
    log_file="app.log",
    min_level=LogLevel.INFO,
    show_metadata=False
)

# Einfache Logs
Logs.trace(Category.SYSTEM, "Detailed debug info")
Logs.debug(Category.SYSTEM, "Debug information")
Logs.info(Category.SYSTEM, "Application started")
Logs.success(Category.DATABASE, "Connection established", host="localhost")
Logs.loading(Category.CONFIG, "Loading configuration files...")
Logs.processing(Category.WORKER, "Processing batch job", items=1000)
Logs.progress(Category.WORKER, 45, 100, "Processing files")
Logs.waiting(Category.API, "Waiting for API response...")
Logs.notice(Category.SYSTEM, "Configuration changed", key="timeout")
Logs.warn(Category.CACHE, "Hit rate low", rate=0.65)
Logs.error(Category.API, "Request failed", status=500)
Logs.critical(Category.DATABASE, "Connection pool exhausted")
Logs.fatal(Category.SYSTEM, "Application crash", reason="OutOfMemory")
Logs.security(Category.AUTH, "Unauthorized access attempt", ip="1.2.3.4")

# Exception Logging
try:
    raise ValueError("Something went wrong!")
except Exception as e:
    # Die Logs.exception Methode ist ein Alias für Logs.error mit traceback
    Logs.error(Category.SYSTEM, "Critical error", exception=e) 

Discord Bot Usage

from logs import Logs, Category

# Bot Startup
Logs.banner("🤖 Discord Bot Starting", Category.BOT)
Logs.loading(Category.INTENTS, "Configuring intents...")
Logs.success(Category.GATEWAY, "Connected to Discord", latency="42ms")

# Cog Loading
with Logs.context("CogLoader"):
    Logs.loading(Category.COGS, "Loading cogs...")
    Logs.success(Category.COGS, "Loaded cog", name="MusicCog", commands=12)
    Logs.warn(Category.COGS, "Warning", name="AdminCog", reason="Missing dependency")

# Command Execution
Logs.info(Category.SLASH_CMD, "Command invoked", command="/play", user="User#1234")
Logs.processing(Category.VOICE, "Joining voice channel...")
Logs.success(Category.VOICE, "Joined voice channel", channel="Music", members=5)

# Events
Logs.info(Category.EVENTS, "on_member_join", member="NewUser#5678")
Logs.info(Category.MESSAGE, "Message received", author="User#1234", channel="general")

# Moderation
Logs.warn(Category.MODERATION, "User kicked", user="BadUser#9999", reason="Spam")
Logs.security(Category.AUTOMOD, "AutoMod triggered", rule="No spam", action="timeout")

# Rate Limiting
Logs.warn(Category.RATELIMIT, "Rate limit hit", endpoint="/messages", retry_after=2.5)

# Sharding
Logs.info(Category.SHARDING, "Shard ready", shard_id=0, guilds=150, latency="42ms")

Advanced Features

# Performance Tracking
Logs.performance("database_query", Category.DATABASE)
# ... do work ...
duration = Logs.performance("database_query", Category.DATABASE) # Gibt Dauer zurück

# Context Manager
with Logs.context("UserRegistration"):
    Logs.loading(Category.USER, "Starting registration...")
    Logs.success(Category.AUTH, "User authenticated")
    Logs.info(Category.EMAIL, "Verification email sent")

# Event Logging
Logs.log_event("purchase_completed", Category.BUSINESS,
               order_id=12345, amount=99.99, currency="EUR")

# Distributed Tracing
Logs.set_correlation_id("req-abc-123-xyz")
Logs.info(Category.API, "Processing request", endpoint="/api/users")

# Tabellen (Achtung: Dies ist eine hypothetische Methode, falls du sie implementiert hast)
Logs.table(Category.METRICS,
           ["Service", "Status", "Response Time"],
           [["API", "UP", "45ms"],
            ["Database", "UP", "12ms"],
            ["Cache", "DOWN", "N/A"]])

---

📊 Log Levels

Level	Wert	Beschreibung
TRACE	-1	Sehr detaillierte Debug-Infos
DEBUG	0	Standard Debug-Informationen
INFO	1	Allgemeine Informationen
SUCCESS	2	Erfolgreiche Operationen
LOADING	3	Lädt gerade etwas
PROCESSING	4	Verarbeitet Daten
PROGRESS	5	Fortschritts-Updates
WAITING	6	Wartet auf Ressourcen
NOTICE	7	Wichtige Hinweise
WARN	8	Warnungen
ERROR	9	Standard-Fehler
CRITICAL	10	Kritische Fehler
FATAL	11	Fatale Fehler (Absturz)
SECURITY	12	Sicherheitsvorfälle

---

🎨 Verfügbare Kategorien (148)

Core System & Runtime

API, DATABASE, SERVER, CACHE, AUTH, SYSTEM, CONFIG, SCHEMA, INDEX, QUERY, VIEW, TRANSACTION_COMMIT, NOSQL, RELATIONAL_DB, SESSION_STORAGE, RUNTIME, COMPILER, DEPENDENCY, CLI

Network & Communication

NETWORK, HTTP, WEBSOCKET, GRPC, GRAPHQL, REST, SOAP, LOAD_BALANCER, REVERSE_PROXY, DNS, CDN, GEOLOCATION

Security, Compliance & Fraud

SECURITY, ENCRYPTION, FIREWALL, AUDIT, COMPLIANCE, VULNERABILITY, GDPR, HIPAA, PCI_DSS, IDP, MFA, RATE_LIMITER, FRAUD

Frontend, UI & Internationalisierung

CLIENT, UI, UX, SPA, SSR, STATE, COMPONENT, I18N

Storage, Files & Assets

FILE, STORAGE, BACKUP, SYNC, UPLOAD, DOWNLOAD, ASSET

Messaging & Events

QUEUE, EVENT, PUBSUB, KAFKA, RABBITMQ, REDIS

External Services

EMAIL, SMS, NOTIFICATION, PAYMENT, BILLING, STRIPE, PAYPAL

Monitoring & Observability

METRICS, PERFORMANCE, HEALTH, MONITORING, TRACING, PROFILING

Data Processing & Transformation

ETL, PIPELINE, WORKER, CRON, SCHEDULER, BATCH, STREAM, MAPPING, TRANSFORM, REPORTING

Business Logic, Finance & Inventory

BUSINESS, WORKFLOW, TRANSACTION, ORDER, INVOICE, SHIPPING, ACCOUNTING, INVENTORY

User Management

USER, SESSION, REGISTRATION, LOGIN, LOGOUT, PROFILE

AI & ML

AI, ML, TRAINING, INFERENCE, MODEL

DevOps & Infrastructure

DEPLOY, CI_CD, DOCKER, KUBERNETES, TERRAFORM, ANSIBLE, SERVERLESS, CONTAINER, IAC, VPC, AUTOSCALING, PROVISION, DEPROVISION

Testing & Quality

TEST, UNITTEST, INTEGRATION, E2E, LOAD_TEST

Third Party Integrations

SLACK, DISCORD, TWILIO, AWS, GCP, AZURE

Discord Bot Specific

BOT, COGS, COMMANDS, EVENTS, VOICE, GUILD, MEMBER, CHANNEL, MESSAGE, REACTION, MODERATION, PERMISSIONS, EMBED, SLASH_CMD, BUTTON, MODAL, SELECT_MENU, AUTOMOD, WEBHOOK, PRESENCE, INTENTS, SHARDING, GATEWAY, RATELIMIT

Development

DEBUG, DEV, STARTUP, SHUTDOWN, MIGRATION, UPDATE, VERSION

---

🔒 Security Features

Sensitive Data Redaction

# Aktivieren
Logs.enable_redaction()

# Automatisch erkannte Patterns:
# - Kreditkarten, SSN, Passwörter, API Keys, Tokens, Bearer Tokens

# Custom Pattern hinzufügen
Logs.add_redact_pattern(r'secret_code:\s*\S+')

# Deaktivieren
Logs.disable_redaction()

Remote Log Forwarding

# Zu Syslog/Logstash forwarden
Logs.enable_remote_forwarding("logserver.company.com", 514)
Logs.disable_remote_forwarding()

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📊 Monitoring & Health

Health Checks

# Health Status abrufen
health = Logs.health_check()
# {
#     "status": "healthy",
#     "total_logs": 1523,
#     "error_count": 12,
#     "error_rate": 0.008,
#     # ... weitere Metriken
# }

# Schöne Ausgabe
Logs.print_health()

Statistiken

# Statistiken abrufen
stats = Logs.stats(detailed=True)
Logs.print_stats()

Prometheus Metrics

# Metrics exportieren (im Prometheus-Textformat)
metrics = Logs.export_metrics_prometheus()

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⚙️ Konfiguration

from logs import LogFormat, LogLevel

Logs.configure(
    enabled=True,
    show_timestamp=True,
    timestamp_format="%Y-%m-%d %H:%M:%S",
    min_level=LogLevel.DEBUG,
    log_file="app.log",
    colorize=True,
    format_type=LogFormat.STANDARD,  # SIMPLE, STANDARD, DETAILED, JSON
    show_metadata=False,
    max_file_size=10 * 1024 * 1024,  # 10MB
    backup_count=3,
    enable_redaction=True,
    enable_compression=True
)

Rate Limiting

# Max 500 Logs pro Minute
Logs.enable_rate_limiting(max_per_minute=500)
Logs.disable_rate_limiting()

Sampling

# Nur 10% der Logs ausgeben
Logs.set_sampling_rate(0.1)

Adaptive Logging

# Auto-Anpassung bei hoher Last (wechselt zu WARN bei >100 Logs/Minute)
Logs.enable_adaptive_logging(noise_threshold=100)
Logs.disable_adaptive_logging()

---

🔍 Debug Tools

Tail & Grep

# Letzte 20 Logs anzeigen
last_logs = Logs.tail(20)

# Logs durchsuchen (Regex-Support)
errors = Logs.grep("error", case_sensitive=False, max_results=100)
api_errors = Logs.grep(r"API.*ERROR")

🎬 Session Recording

# Session starten
Logs.start_session()
# ... Logs werden aufgezeichnet ...
logs = Logs.stop_session(save_to="session.json")

🔔 Alert System

def email_alert(level, category, message):
    send_email(f"ALERT: {level} in {category}: {message}")

# Alert-Handler registrieren
Logs.add_alert(LogLevel.FATAL, email_alert)
Logs.set_alert_cooldown(300)  # 5 Minuten

---

📝 Log-Formate

SIMPLE

[INFO] [API] Request received

STANDARD (Default)

[2024-01-15 14:30:45] [INFO] [API] Request received

DETAILED

[2024-01-15 14:30:45] [INFO] [API] [main.py:123] Request received

JSON

{"timestamp": "2024-01-15T14:30:45", "level": "INFO", "category": "API", "message": "Request received"}

---

🎯 Best Practices

1. Strukturierte Logs mit Key-Value Pairs

Logs.info(Category.API, "Request processed",
          method="POST",
          endpoint="/api/users",
          status=200,
          duration_ms=45.2)

2. Context für zusammenhängende Operationen

with Logs.context("OrderProcessing"):
    Logs.loading(Category.ORDER, "Processing order...")
    Logs.processing(Category.PAYMENT, "Processing payment...")
    Logs.success(Category.SHIPPING, "Shipment created")

3. Performance Tracking

# Verwenden Sie Logs.performance() für manuelle Messungen
# oder implementieren Sie einen Dekorator:
@Logs.measure(Category.DATABASE)
def expensive_database_query():
    # ... Datenbank-Code
    pass

4. Correlation IDs für Microservices

# Am Anfang jedes Requests
Logs.set_correlation_id(request.headers.get('X-Correlation-ID'))
Logs.info(Category.API, "Processing request")

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📄 License

MIT License

🤝 Contributing

Contributions are welcome! Feel free to open issues or submit pull requests.

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Made with ❤️ for Python developers and Discord bot creators