Metadata-Version: 2.4
Name: SimpleColoredLogs
Version: 1.16.1.2026
Summary: Ein vollständiger, produktionsreifer Logger mit erweiterten Features für Python-Anwendungen und Discord Bots.
Author: OPPRO.NET Development, OPPRO.NET Network, LennyPegauOfficial117
License: MIT License
        
        Copyright 2025 OPPRO.NET Network
        
        Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
        
        The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
        
        THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
Project-URL: Homepage, https://github.com/Medicopter117/SimpleColoredLogs
Project-URL: Repository, https://github.com/Medicopter117/SimpleColoredLogs
Project-URL: Bug Tracker, https://github.com/Medicopter117/SimpleColoredLogs/issues
Keywords: logger,terminal,python,colored,discord,logs
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Utilities
Classifier: Intended Audience :: Developers
Requires-Python: >=3.7
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: colorama>=0.4.6
Requires-Dist: pathlib>=1.0.1
Dynamic: license-file

# 🎨 SimpleColoredLogs

Professional Terminal Logger für Python mit Farben, strukturiertem Logging und vielen Features.

## 📦 Installation

```bash
pip install SimpleColoredLogs
```

Optional mit Farb-Support:
```bash
pip install SimpleColoredLogs[color]
```

## 🚀 Schnellstart

```python
from logger import logger, Category

# Einfache Logs
logger.info(Category.API, "Server gestartet")
logger.success(Category.SYSTEM, "Konfiguration geladen")
logger.warn(Category.SECURITY, "Ungewöhnliche Aktivität")
logger.error(Category.DATABASE, "Verbindung fehlgeschlagen")
```

## 🎯 Features

- ✅ 15+ Log-Levels (TRACE, DEBUG, INFO, SUCCESS, WARN, ERROR, CRITICAL, FATAL, etc.)
- ✅ 50+ vordefinierte Kategorien (API, DATABASE, SECURITY, PAYMENT, etc.)
- ✅ Farbige Terminal-Ausgabe
- ✅ Strukturiertes Logging (JSON, Logfmt)
- ✅ Async-Mode für High-Performance
- ✅ Performance-Metriken
- ✅ Context-Management
- ✅ Exception-Handling mit Tracebacks
- ✅ Log-Rotation & Kompression
- ✅ Remote Logging (Syslog)
- ✅ Sensitive Data Redaction
- ✅ Distributed Tracing Support

## 📝 Verwendung

### Basis-Logging

```python
from logger import logger, Category, LogLevel

# Logger konfigurieren
logger.initialize(
    min_level=LogLevel.INFO,
    console=True,
    file_path="logs/app.log"
)

# Logs schreiben
logger.info(Category.API, "Request empfangen")
logger.success(Category.DATABASE, "Query erfolgreich")
logger.error(Category.SYSTEM, "Fehler aufgetreten")
```

### Mit Shortcuts

```python
from logger import logger, C

# Kürzer und übersichtlicher
logger.info(C.CORE.API, "API aufgerufen")
logger.error(C.SEC.FRAUD, "Betrugsversuch erkannt")
logger.success(C.BIZ.PAY, "Zahlung erfolgreich")
```

### Mit Context

```python
from logger import logger, Category

with logger.context("PaymentFlow"):
    logger.info(Category.PAYMENT, "Zahlung gestartet")
    logger.processing(Category.PAYMENT, "Verarbeite Transaktion")
    logger.success(Category.PAYMENT, "Zahlung abgeschlossen")
```

### Mit strukturierten Daten

```python
logger.info(
    Category.API,
    "Request verarbeitet",
    method="POST",
    endpoint="/api/users",
    status=201,
    duration_ms=45
)
```

### Exception Handling

```python
try:
    result = process_payment()
except Exception as e:
    logger.error(
        Category.PAYMENT,
        "Zahlung fehlgeschlagen",
        exception=e,  # Automatischer Traceback
        order_id=order_id
    )
```

### Performance-Messung

```python
# Mit Context Manager
with logger.measure(Category.DATABASE, "complex_query"):
    results = db.query("SELECT * FROM users")

# Als Decorator
@logger.timer(Category.API, "handle_request")
def handle_request():
    # ... code ...
    pass
```

## 🎨 Alle Log-Levels

```python
logger.trace(Category.DEBUG, "Sehr detailliert")
logger.debug(Category.DEBUG, "Debug-Info")
logger.info(Category.SYSTEM, "Information")
logger.success(Category.SYSTEM, "Erfolgreich")
logger.loading(Category.SYSTEM, "Lädt...")
logger.processing(Category.SYSTEM, "Verarbeitet...")
logger.progress(Category.SYSTEM, "Fortschritt", percent=75)
logger.waiting(Category.NETWORK, "Wartet...")
logger.notice(Category.SYSTEM, "Wichtiger Hinweis")
logger.warn(Category.SECURITY, "Warnung")
logger.error(Category.API, "Fehler")
logger.critical(Category.SYSTEM, "Kritisch")
logger.fatal(Category.SYSTEM, "Fatal")
logger.security(Category.SECURITY, "Sicherheits-Event")
```

## 📁 Kategorien

### Core System
`API`, `DATABASE`, `SERVER`, `CACHE`, `AUTH`, `SYSTEM`, `CONFIG`, `RUNTIME`

### Network
`NETWORK`, `HTTP`, `WEBSOCKET`, `GRPC`, `GRAPHQL`, `REST`, `DNS`, `CDN`

### Security
`SECURITY`, `ENCRYPTION`, `FIREWALL`, `AUDIT`, `FRAUD`, `MFA`

### Business
`BUSINESS`, `WORKFLOW`, `TRANSACTION`, `PAYMENT`, `ACCOUNTING`, `INVENTORY`

### Observability
`METRICS`, `PERFORMANCE`, `HEALTH`, `MONITORING`, `TRACING`

[Alle 50+ Kategorien in der Dokumentation](https://github.com/oppro-net/SimpleColoredLogs)

## 🔧 Konfiguration

### Via Code

```python
from logger import logger, LogLevel
from pathlib import Path

logger.initialize(
    min_level=LogLevel.DEBUG,
    console=True,
    console_colorized=True,
    file_path=Path("logs/app.log"),
    file_max_size=10 * 1024 * 1024,  # 10MB
    async_mode=True,
    sampling_rate=1.0
)
```

### Via Umgebungsvariablen

```bash
export LOG_LEVEL=DEBUG
export LOG_FILE=logs/app.log
export LOG_FORMAT=JSON
export LOG_COLORIZE=true
```

```python
# Lädt automatisch Umgebungsvariablen
logger.initialize(apply_env_vars=True)
```

## 🔌 Handler & Filter

### File Handler mit Rotation

```python
from logger import logger, FileHandler
from pathlib import Path

handler = FileHandler(
    filepath=Path("logs/app.log"),
    max_size=10 * 1024 * 1024,  # 10MB
    backup_count=5,
    compress=True
)
logger.add_handler(handler)
```

### Remote Logging

```python
from logger import logger, NetworkHandler

handler = NetworkHandler(
    host="logs.example.com",
    port=514,
    protocol="udp"
)
logger.add_handler(handler)
```

### Sensitive Data Redaction

```python
# Automatisches Entfernen von Passwörtern, API-Keys, etc.
logger.enable_redaction()

logger.info(Category.AUTH, "Login mit password=secret123")
# Output: "Login mit password=[REDACTED]"
```

## 📊 Spezielle Logger

### Audit Logger

```python
from logger import AuditLogger

audit = AuditLogger()

audit.log_access(
    user="john_doe",
    resource="/api/users",
    action="READ",
    result="SUCCESS"
)

audit.log_security_event(
    event="Failed login attempts",
    severity="HIGH",
    ip="192.168.1.100"
)
```

### Performance Logger

```python
from logger import PerformanceLogger

perf = PerformanceLogger()

perf.log_timing("api_response", 0.045)  # 45ms
perf.log_throughput("requests", count=1000, duration=60.0)
```

### Structured Logger

```python
from logger import StructuredLogger, Category

struct = StructuredLogger()

struct.log_event(
    event_type="order_placed",
    category=Category.BUSINESS,
    message="Bestellung aufgegeben",
    user_id=123,
    order_id=1001,
    amount=99.99
)
```

## 📈 Metriken

```python
# Metriken abrufen
metrics = logger.get_metrics()

print(f"Total Logs: {metrics['total_logs']}")
print(f"Errors: {metrics['error_count']}")
print(f"Avg Process Time: {metrics['avg_process_time_ms']} ms")

# Metriken zurücksetzen
logger.reset_metrics()
```

## 🌍 Distributed Tracing

```python
# Trace-IDs für Request-Tracking
logger.set_trace_id("req-12345")
logger.set_correlation_id("corr-67890")

logger.info(Category.API, "Request verarbeitet")
# Output enthält automatisch trace_id

logger.clear_tracing()
```

## 💡 Best Practices

### ✅ DO

```python
# Aussagekräftige Kategorien
logger.info(Category.API, "Request empfangen", endpoint="/users")

# Strukturierte Metadaten
logger.error(Category.DATABASE, "Query failed", 
            query=sql, error=str(e))

# Context für zusammenhängende Logs
with logger.context("OrderProcessing"):
    logger.info(Category.BUSINESS, "Verarbeite Bestellung")

# Exception-Parameter nutzen
logger.error(Category.SYSTEM, "Fehler", exception=e)
```

### ❌ DON'T

```python
# Zu generisch
logger.info("SYSTEM", "Irgendwas ist passiert")

# Fehlende Kontext-Infos
logger.error(Category.DATABASE, "Error")

# Exception als String (kein Traceback!)
logger.error(Category.SYSTEM, f"Error: {str(e)}")
```

## 📚 Beispiele

Siehe [`examples/`](examples/) Verzeichnis für:
- Basic Usage
- Async Logging
- Web App Integration
- Performance Monitoring
- Audit Trails

## 🛠️ Requirements

- Python 3.8+
- colorama (optional, für Windows)

## 📄 Lizenz

MIT License - siehe [LICENSE](LICENSE)

## 🤝 Contributing

Contributions sind willkommen! Siehe [CONTRIBUTING.md](CONTRIBUTING.md)

## 📧 Support

- 🐛 Bug Reports: [GitHub Issues](https://github.com/oppro-net/SimpleColoredLogs/issues)
- 💡 Feature Requests: [GitHub Discussions](https://github.com/oppro-net/SimpleColoredLogs/discussions)
- 📧 Email: contact@oppro.net

## ⭐ Support

Wenn dir SimpleColoredLogs gefällt, gib uns einen ⭐ auf [GitHub](https://github.com/oppro-net/SimpleColoredLogs)!

---

**Made with ❤️ by OPPRO.NET Network**
