malti-telemetry 1.0.0

A Python library for collecting and sending telemetry data to Malti server

Malti Python SDK

A Python library for collecting and sending telemetry data to Malti server using any Starlette-compatible framework.

Features

• 🚀 High Performance: Asynchronous batch processing with connection pooling
• 🔒 Thread-Safe: Designed for multi-worker applications
• 🎯 Clean Mode: Automatically filters out bot traffic (401/404 responses)
• 🌟 Multi-Framework: Works with any Starlette-compatible framework (FastAPI, Starlette, Responder, etc.)
• 📊 Rich Telemetry: Collects method, endpoint, status, response time, consumer, and context
• 🔄 Automatic Batching: Efficient batching with overflow protection
• ⚡ Non-Blocking: Telemetry collection doesn't impact request performance
• 🛡️ Retry Logic: Exponential backoff for failed requests
• 🎛️ Configurable: Extensive environment variable configuration
• 🔧 Framework Optimized: Enhanced integrations for popular frameworks

Installation

pip install malti-telemetry

Quick Start

FastAPI Integration

from fastapi import FastAPI
from malti_telemetry.middleware import MaltiMiddleware

app = FastAPI()

# Add telemetry middleware (route patterns automatically extracted!)
app.add_middleware(MaltiMiddleware)

@app.get("/users/{user_id}")
async def get_user(user_id: int):
    return {"user_id": user_id, "name": "John Doe"}

# Recorded as: method=GET, endpoint="/users/{user_id}"

if __name__ == "__main__":
    import uvicorn
    uvicorn.run(app)

Starlette Integration

from starlette.applications import Starlette
from starlette.middleware import Middleware
from starlette.responses import JSONResponse
from malti_telemetry.middleware import MaltiMiddleware

app = Starlette()

# Add telemetry middleware (lifespan auto-injected!)
app.add_middleware(Middleware(MaltiMiddleware))

@app.route("/users/{user_id}")
async def get_user(request):
    user_id = request.path_params["user_id"]
    return JSONResponse({"user_id": user_id, "name": "John Doe"})

# Recorded as: method=GET, endpoint="/users/{user_id}"

if __name__ == "__main__":
    import uvicorn
    uvicorn.run(app)

Responder Integration

from responder import API
from malti_telemetry.middleware import MaltiMiddleware

api = API()

# Add telemetry middleware (generic Starlette middleware works with Responder)
api.add_middleware(MaltiMiddleware)

@api.route("/users/{user_id}")
async def get_user(req, resp, *, user_id):
    resp.media = {"user_id": user_id, "name": "John Doe"}

Generic Starlette Middleware

from starlette.applications import Starlette
from starlette.middleware import Middleware
from malti_telemetry.middleware import MaltiMiddleware

app = Starlette()

# Add telemetry middleware (works with any Starlette framework)
app.add_middleware(Middleware(MaltiMiddleware))

@app.route("/api/data")
async def get_data(request):
    return JSONResponse({"data": "example"})

Environment Configuration

Set these environment variables before starting your application:

export MALTI_API_KEY="your-api-key-here"
export MALTI_SERVICE_NAME="my-fastapi-app"
export MALTI_URL="https://your-malti-server.com"
export MALTI_NODE="production-node-1"

Configuration

Environment Variables

Variable	Default	Description
MALTI_API_KEY	(required)	Your Malti API key
MALTI_SERVICE_NAME	"unknown-service"	Name of your service
MALTI_URL	"http://localhost:8000"	Malti server URL
MALTI_NODE	"unknown-node"	Node identifier
MALTI_BATCH_SIZE	500	Records per batch
MALTI_BATCH_INTERVAL	60.0	Seconds between batch sends
MALTI_MAX_RETRIES	3	Max retry attempts
MALTI_RETRY_DELAY	1.0	Base retry delay (seconds)
MALTI_HTTP_TIMEOUT	30.0	HTTP request timeout
MALTI_MAX_KEEPALIVE_CONNECTIONS	5	Max keepalive connections
MALTI_MAX_CONNECTIONS	10	Max total connections
MALTI_OVERFLOW_THRESHOLD_PERCENT	90.0	Buffer overflow threshold
MALTI_CLEAN_MODE	true	Ignore 401/404 responses

Programmatic Configuration

from malti_telemetry import configure_malti

configure_malti(
    service_name="my-service",
    api_key="your-api-key",
    malti_url="https://api.malti.dev",
    node="prod-web-01",
    batch_size=1000,
    clean_mode=True
)

Advanced Usage

Framework-Specific Features

FastAPI Features

Route Pattern Extraction: Automatic conversion of actual paths to route patterns:

• /users/123 → /users/{user_id}
• /api/v1/posts/456/comments → /api/v1/posts/{post_id}/comments
• Works with nested routes and mount points

Context Information: Add context using FastAPI's request state:

from fastapi import Request

@app.route("/users/{user_id}")
async def get_user(request):
    user_id = request.path_params["user_id"]
    if user_id < 1000:
        request.state.context = "legacy"
    else:
        request.state.context = "current"
    return JSONResponse({"user_id": user_id, "name": "John Doe"})

Starlette Features

Automatic Lifespan Management: Telemetry system starts/stops automatically:

from starlette.applications import Starlette
from starlette.middleware import Middleware
from malti_telemetry.middleware import MaltiMiddleware

app = Starlette()
app.add_middleware(Middleware(MaltiMiddleware))  # Lifespan auto-injected!

# No need for manual lifespan management!

Route Pattern Extraction: Automatically extracts route patterns from Starlette routing:

from starlette.applications import Starlette
from starlette.middleware import Middleware
from starlette.routing import Route, Mount
from malti_telemetry.middleware import MaltiMiddleware

app = Starlette()
app.add_middleware(Middleware(MaltiMiddleware))

async def user_handler(request):
    return JSONResponse({"user_id": request.path_params["user_id"]})

async def post_handler(request):
    return JSONResponse({"post_id": request.path_params["post_id"]})

# Works with all Starlette routing patterns
app.routes = [
    Route("/api/v1/users/{user_id}", endpoint=user_handler),
    Mount("/api/v2", routes=[
        Route("/posts/{post_id}", endpoint=post_handler),
    ]),
]

# Automatically recorded as:
# method=GET, endpoint="/api/v1/users/{user_id}"
# method=GET, endpoint="/api/v2/posts/{post_id}"

Consumer Identification

Malti automatically extracts consumer information from headers:

1. x-consumer-id header (highest priority)
2. x-user-id header (fallback)
3. consumer-id header
4. user-id header

Custom Consumer Extraction: Set consumer information in your framework:

# FastAPI
@app.middleware("http")
async def set_consumer(request: Request, call_next):
    request.state.malti_consumer = "app"
    return await call_next(request)

# Starlette
@app.middleware("http")
async def set_consumer(request, call_next):
    # Add consumer to ASGI scope
    request.scope["state"]["malti_consumer"] = "api"
    response = await call_next(request)
    return response

Manual Telemetry Recording

from malti_telemetry import get_telemetry_system

telemetry = get_telemetry_system()

# Record a custom event
telemetry.record_request(
    method="GET",
    endpoint="/api/custom",
    status=200,
    response_time=150,
    consumer="custom-client",
    context="manual-recording"
)

Statistics and Monitoring

from malti_telemetry import get_malti_stats

stats = get_malti_stats()
print(stats)
# {
#     'total_added': 1250,
#     'total_sent': 1200,
#     'total_failed': 50,
#     'current_size': 50,
#     'max_size': 25000,
#     'service_name': 'my-service',
#     'running': True
# }

Supported Frameworks

Malti Telemetry works with any Starlette-compatible framework:

• FastAPI: Enhanced route pattern extraction and request.state integration
• Starlette: Base middleware with full functionality and lifespan management
• Responder: Works with generic Starlette middleware
• Any ASGI framework: Generic middleware for custom implementations

Architecture

Core Components

1. TelemetryCollector: Collects HTTP request telemetry data
2. BatchSender: Sends batched telemetry data to Malti server
3. TelemetrySystem: Combines collector and sender with unified interface
4. TelemetryBuffer: Thread-safe buffer for storing records

Worker Process Model

Each FastAPI/Uvicorn worker process gets its own telemetry system instance:

┌─────────────────┐    ┌─────────────────┐
│ Worker Process  │    │ Worker Process  │
│ ┌─────────────┐ │    │ ┌─────────────┐ │
│ │TelemetrySys │ │    │ │TelemetrySys │ │
│ │ ┌─────────┐ │ │    │ │ ┌─────────┐ │ │
│ │ │Buffer   │ │ │    │ │ │Buffer   │ │ │
│ │ └─────────┘ │ │    │ │ └─────────┘ │ │
│ │ ┌─────────┐ │ │    │ │ ┌─────────┐ │ │
│ │ │Sender   │ │ │    │ │ │Sender   │ │ │
│ │ └─────────┘ │ │    │ │ └─────────┘ │ │
│ └─────────────┘ │    │ └─────────────┘ │
└─────────────────┘    └─────────────────┘

Development

Setup

git clone https://github.com/muzy/malti-telemetry.git
cd python/
pip install -e ".[dev]"

Testing

pytest

Code Quality

black malti_telemetry/
isort malti_telemetry/
mypy malti_telemetry/
flake8 malti_telemetry/

License

MIT License - see LICENSE file for details.