MetricsFirst SDK for Python - Analytics for Telegram bots
Project description
MetricsFirst Python SDK
Official Python SDK for MetricsFirst - Analytics for Telegram bots.
Note: Commands and interactions are tracked automatically when you add your bot to MetricsFirst. This SDK is for tracking custom events like services, purchases, and errors.
Installation
# Basic installation (sync only)
pip install metricsfirst
# With async support
pip install metricsfirst[async]
Features
- Fire-and-forget: All tracking calls are non-blocking and don't add latency
- Background sending: Events are sent in a separate thread (sync) or task (async)
- Error resilience: Errors are logged, never thrown to your code
- Memory safe: Queue is limited to 1000 events to prevent memory issues
Quick Start
Synchronous Client
from metricsfirst import MetricsFirst, ServiceEventData
# Initialize
mf = MetricsFirst(
bot_id="your_bot_id",
api_key="your_api_key",
)
# Track a service (fire-and-forget, non-blocking)
mf.track_service(ServiceEventData(
user_id=123456789,
service_name="image_generation",
is_free=False,
price=10,
currency="USD",
))
# Shutdown flushes remaining events
mf.shutdown()
Asynchronous Client
import asyncio
from metricsfirst import AsyncMetricsFirst, ServiceEventData
async def main():
# Initialize
mf = AsyncMetricsFirst(
bot_id="your_bot_id",
api_key="your_api_key",
)
await mf.start()
# Track events (fire-and-forget)
await mf.track_service(ServiceEventData(
user_id=123456789,
service_name="image_generation",
))
# Shutdown
await mf.shutdown()
asyncio.run(main())
Context Manager
# Sync
with MetricsFirst(bot_id="...", api_key="...") as mf:
mf.track_service(...)
# Async
async with AsyncMetricsFirst(bot_id="...", api_key="...") as mf:
await mf.track_service(...)
Available Events
| Method | Description |
|---|---|
track_service() |
Track services provided |
track_error() |
Track errors |
track_error_from_exception() |
Track error from exception |
track_purchase_initiated() |
Track purchase start |
track_purchase_completed() |
Track successful purchase |
track_purchase_error() |
Track failed purchase |
track_recurring_charge_success() |
Track subscription charge |
track_recurring_charge_failed() |
Track failed charge |
identify() |
Identify user with properties |
Configuration
mf = MetricsFirst(
bot_id="your_bot_id",
api_key="your_api_key",
api_url="https://api.metricsfirst.com", # Custom API URL
batch_events=True, # Batch events before sending
batch_size=10, # Events per batch
batch_interval=5.0, # Seconds between flushes
debug=False, # Enable debug logging
timeout=10.0, # HTTP timeout
)
License
MIT
Project details
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