LogTide Python SDK

Official Python SDK for LogTide with advanced features: automatic batching, retry logic, circuit breaker, query API, live streaming, and middleware support.

Features

• ✅ Automatic batching with configurable size and interval
• ✅ Retry logic with exponential backoff
• ✅ Circuit breaker pattern for fault tolerance
• ✅ Max buffer size with drop policy to prevent memory leaks
• ✅ Query API for searching and filtering logs
• ✅ Live tail with Server-Sent Events (SSE)
• ✅ Trace ID context for distributed tracing
• ✅ Global metadata added to all logs
• ✅ Structured error serialization
• ✅ Internal metrics (logs sent, errors, latency, etc.)
• ✅ Flask, Django & FastAPI middleware for auto-logging HTTP requests
• ✅ Full Python 3.8+ support with type hints

Requirements

• Python 3.8 or higher
• pip or poetry

Installation

pip install logtide-sdk

Optional dependencies

# For async support
pip install logtide-sdk[async]

# For Flask middleware
pip install logtide-sdk[flask]

# For Django middleware
pip install logtide-sdk[django]

# For FastAPI middleware
pip install logtide-sdk[fastapi]

# Install all extras
pip install logtide-sdk[async,flask,django,fastapi]

Quick Start

from logtide_sdk import LogTideClient, ClientOptions

client = LogTideClient(
    ClientOptions(
        api_url='http://localhost:8080',
        api_key='lp_your_api_key_here',
    )
)

# Send logs
client.info('api-gateway', 'Server started', {'port': 3000})
client.error('database', 'Connection failed', Exception('Timeout'))

# Graceful shutdown (automatic via atexit, but can be called manually)
client.close()

---

Configuration Options

Basic Options

Option	Type	Default	Description
api_url	str	required	Base URL of your LogTide instance
api_key	str	required	Project API key (starts with lp_)
batch_size	int	100	Number of logs to batch before sending
flush_interval	int	5000	Interval in ms to auto-flush logs

Advanced Options

Option	Type	Default	Description
max_buffer_size	int	10000	Max logs in buffer (prevents memory leak)
max_retries	int	3	Max retry attempts on failure
retry_delay_ms	int	1000	Initial retry delay (exponential backoff)
circuit_breaker_threshold	int	5	Failures before opening circuit
circuit_breaker_reset_ms	int	30000	Time before retrying after circuit opens
enable_metrics	bool	True	Track internal metrics
debug	bool	False	Enable debug logging to console
global_metadata	dict	{}	Metadata added to all logs
auto_trace_id	bool	False	Auto-generate trace IDs for logs

Example: Full Configuration

import os

client = LogTideClient(
    ClientOptions(
        api_url='http://localhost:8080',
        api_key='lp_your_api_key_here',
        
        # Batching
        batch_size=100,
        flush_interval=5000,
        
        # Buffer management
        max_buffer_size=10000,
        
        # Retry with exponential backoff (1s → 2s → 4s)
        max_retries=3,
        retry_delay_ms=1000,
        
        # Circuit breaker
        circuit_breaker_threshold=5,
        circuit_breaker_reset_ms=30000,
        
        # Metrics & debugging
        enable_metrics=True,
        debug=True,
        
        # Global context
        global_metadata={
            'env': os.getenv('APP_ENV'),
            'version': '1.0.0',
            'hostname': os.uname().nodename,
        },
        
        # Auto trace IDs
        auto_trace_id=False,
    )
)

---

Logging Methods

Basic Logging

from logtide_sdk import LogLevel

client.debug('service-name', 'Debug message')
client.info('service-name', 'Info message', {'userId': 123})
client.warn('service-name', 'Warning message')
client.error('service-name', 'Error message', {'custom': 'data'})
client.critical('service-name', 'Critical message')

Error Logging with Auto-Serialization

The SDK automatically serializes Exception objects:

try:
    raise RuntimeError('Database timeout')
except Exception as e:
    # Automatically serializes error with stack trace
    client.error('database', 'Query failed', e)

Generated log metadata:

{
  "error": {
    "name": "RuntimeError",
    "message": "Database timeout",
    "stack": "Traceback (most recent call last):\n  ..."
  }
}

---

Trace ID Context

Track requests across services with trace IDs.

Manual Trace ID

client.set_trace_id('request-123')

client.info('api', 'Request received')
client.info('database', 'Querying users')
client.info('api', 'Response sent')

client.set_trace_id(None)  # Clear context

Scoped Trace ID (Context Manager)

with client.with_trace_id('request-456'):
    client.info('api', 'Processing in context')
    client.warn('cache', 'Cache miss')
# Trace ID automatically restored after context

Auto-Generated Trace ID

import uuid

with client.with_new_trace_id():
    client.info('worker', 'Background job started')
    client.info('worker', 'Job completed')

---

Query API

Search and retrieve logs programmatically.

Basic Query

from datetime import datetime, timedelta
from logtide_sdk import QueryOptions, LogLevel

result = client.query(
    QueryOptions(
        service='api-gateway',
        level=LogLevel.ERROR,
        from_time=datetime.now() - timedelta(hours=24),
        to_time=datetime.now(),
        limit=100,
        offset=0,
    )
)

print(f"Found {result.total} logs")
for log in result.logs:
    print(log)

Full-Text Search

result = client.query(QueryOptions(q='timeout', limit=50))

Get Logs by Trace ID

logs = client.get_by_trace_id('trace-123')
print(f"Trace has {len(logs)} logs")

Aggregated Statistics

from datetime import datetime, timedelta
from logtide_sdk import AggregatedStatsOptions

stats = client.get_aggregated_stats(
    AggregatedStatsOptions(
        from_time=datetime.now() - timedelta(days=7),
        to_time=datetime.now(),
        interval='1h',
    )
)

for service in stats.top_services:
    print(f"{service['service']}: {service['count']} logs")

---

Live Streaming (SSE)

Stream logs in real-time using Server-Sent Events.

def handle_log(log):
    print(f"[{log['time']}] {log['level']}: {log['message']}")

def handle_error(error):
    print(f"Stream error: {error}")

client.stream(
    on_log=handle_log,
    on_error=handle_error,
    filters={
        'service': 'api-gateway',
        'level': 'error',
    }
)

# Note: This blocks. Run in separate thread for production.

---

Metrics

Track SDK performance and health.

metrics = client.get_metrics()

print(f"Logs sent: {metrics.logs_sent}")
print(f"Logs dropped: {metrics.logs_dropped}")
print(f"Errors: {metrics.errors}")
print(f"Retries: {metrics.retries}")
print(f"Avg latency: {metrics.avg_latency_ms}ms")
print(f"Circuit breaker trips: {metrics.circuit_breaker_trips}")

# Get circuit breaker state
print(client.get_circuit_breaker_state())  # CLOSED|OPEN|HALF_OPEN

# Reset metrics
client.reset_metrics()

---

Middleware

Flask Middleware

Auto-log all HTTP requests and responses.

from flask import Flask
from logtide_sdk import LogTideClient, ClientOptions
from logtide_sdk.middleware import LogTideFlaskMiddleware

app = Flask(__name__)

client = LogTideClient(
    ClientOptions(
        api_url='http://localhost:8080',
        api_key='lp_your_api_key_here',
    )
)

LogTideFlaskMiddleware(
    app,
    client=client,
    service_name='flask-api',
    log_requests=True,
    log_responses=True,
    skip_paths=['/metrics'],
)

Logged automatically:

• Request: GET /api/users
• Response: GET /api/users 200 (45ms)
• Errors: Request error: Internal Server Error

Django Middleware

# settings.py
MIDDLEWARE = [
    'logtide_sdk.middleware.LogTideDjangoMiddleware',
]

from logtide_sdk import LogTideClient, ClientOptions

LOGTIDE_CLIENT = LogTideClient(
    ClientOptions(
        api_url='http://localhost:8080',
        api_key='lp_your_api_key_here',
    )
)
LOGTIDE_SERVICE_NAME = 'django-api'

FastAPI Middleware

from fastapi import FastAPI
from logtide_sdk import LogTideClient, ClientOptions
from logtide_sdk.middleware import LogTideFastAPIMiddleware

app = FastAPI()

client = LogTideClient(
    ClientOptions(
        api_url='http://localhost:8080',
        api_key='lp_your_api_key_here',
    )
)

app.add_middleware(
    LogTideFastAPIMiddleware,
    client=client,
    service_name='fastapi-api',
)

---

Examples

See the examples/ directory for complete working examples:

• basic.py - Simple usage
• advanced.py - All advanced features
• flask_example.py - Flask integration
• fastapi_example.py - FastAPI integration

---

API Reference

LogTideClient

Constructor

client = LogTideClient(options: ClientOptions)

Logging Methods

• log(entry: LogEntry) -> None
• debug(service: str, message: str, metadata: dict = None) -> None
• info(service: str, message: str, metadata: dict = None) -> None
• warn(service: str, message: str, metadata: dict = None) -> None
• error(service: str, message: str, metadata_or_error: dict | Exception = None) -> None
• critical(service: str, message: str, metadata_or_error: dict | Exception = None) -> None

Context Methods

• set_trace_id(trace_id: str | None) -> None
• get_trace_id() -> str | None
• with_trace_id(trace_id: str) → context manager
• with_new_trace_id() → context manager

Query Methods

• query(options: QueryOptions) -> LogsResponse
• get_by_trace_id(trace_id: str) -> list[dict]
• get_aggregated_stats(options: AggregatedStatsOptions) -> AggregatedStatsResponse

Streaming

• stream(on_log: callable, on_error: callable = None, filters: dict = None) -> None

Metrics

• get_metrics() -> ClientMetrics
• reset_metrics() -> None
• get_circuit_breaker_state() -> CircuitState

Lifecycle

• flush() -> None
• close() -> None

---

Best Practices

1. Always Close on Shutdown

import atexit

# Automatic cleanup (already registered by client)
# Or manually:
atexit.register(client.close)

2. Use Global Metadata

client = LogTideClient(
    ClientOptions(
        api_url='http://localhost:8080',
        api_key='lp_your_api_key_here',
        global_metadata={
            'env': os.getenv('ENV'),
            'version': '1.0.0',
            'region': 'us-east-1',
        },
    )
)

3. Enable Debug Mode in Development

client = LogTideClient(
    ClientOptions(
        api_url='http://localhost:8080',
        api_key='lp_your_api_key_here',
        debug=os.getenv('ENV') == 'development',
    )
)

4. Monitor Metrics in Production

import time
import threading

def monitor_metrics():
    while True:
        metrics = client.get_metrics()
        
        if metrics.logs_dropped > 0:
            print(f"⚠️ Logs dropped: {metrics.logs_dropped}")
        
        if metrics.circuit_breaker_trips > 0:
            print("🔴 Circuit breaker is OPEN!")
        
        time.sleep(60)

# Run in background thread
monitor_thread = threading.Thread(target=monitor_metrics, daemon=True)
monitor_thread.start()

---

Development

Setup

# Clone repository
git clone https://github.com/logtide-dev/python-sdk.git
cd logtide-sdk-python

# Create virtual environment
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

# Install dev dependencies
pip install -e ".[dev]"

Testing

# Run tests
pytest tests/

# Type checking
mypy logtide_sdk/

# Code formatting
black logtide_sdk/ tests/ examples/

# Linting
ruff check logtide_sdk/

---

License

MIT

---

Contributing

Contributions are welcome! Please open an issue or PR on GitHub.

---

Support

• Documentation: https://logtide.dev/docs
• Issues: GitHub Issues