tgram-analytics Python SDK

Lightweight Python SDK for tgram-analytics. Track events and pageviews from your Python backend.

Install

pip install tgram-analytics

Quick start (sync)

from tgram_analytics import TGA

with TGA("proj_xxx", "https://analytics.example.com") as tga:
    tga.track("signup", session_id="user-session-123", properties={"plan": "pro"})
    tga.pageview(session_id="user-session-123", url="/dashboard")

Quick start (async)

from tgram_analytics import AsyncTGA

async with AsyncTGA("proj_xxx", "https://analytics.example.com") as tga:
    tga.track("signup", session_id="user-session-123")
    await tga.flush()

Batching

Buffer events and send them in batches to reduce HTTP requests:

from tgram_analytics import TGA, BatchOptions

tga = TGA("proj_xxx", "https://analytics.example.com", batch=BatchOptions(max_size=20, max_wait=3.0))
# Events are buffered and auto-flushed when max_size is reached or max_wait seconds elapse
tga.track("click", "session-1")
tga.flush()  # manual flush
tga.close()  # flushes + closes HTTP client

Identifying users

Attach persistent properties to a session. All subsequent track() and pageview() calls for that session will include them:

tga.identify("session-123", {"plan": "pro", "locale": "en-US"})
tga.track("purchase", "session-123", {"amount": 49})
# sent properties: {"plan": "pro", "locale": "en-US", "amount": 49}

Per-event properties override identified properties when keys conflict.

Call tga.forget("session-123") to clear stored properties for a session.

API reference

TGA(api_key, server_url, *, batch=False, timeout=10.0)

Sync client. api_key must start with "proj_".

• batch — False (default), True (default thresholds), or BatchOptions(max_size=10, max_wait=5.0)
• timeout — HTTP request timeout in seconds

AsyncTGA(api_key, server_url, *, batch=False, timeout=10.0)

Async client with the same constructor signature.

.track(event_name, session_id, properties=None)

Track a custom event. Fire-and-forget — errors are logged, never raised.

.pageview(session_id, url, referrer=None, properties=None)

Track a pageview event.

.identify(session_id, properties)

Store properties that are merged into all subsequent events for this session.

.forget(session_id)

Remove stored identify() properties for a session.

.flush()

Send all buffered events immediately. No-op if batching is disabled.

.close() / await .close()

Flush pending events and close the HTTP client.

Both clients support context managers (with / async with) for automatic cleanup.

Error handling

Analytics should never break your application. All HTTP and network errors are caught and logged via Python's logging module under the tgram_analytics logger:

import logging
logging.getLogger("tgram_analytics").setLevel(logging.DEBUG)

Only the constructor raises exceptions (on invalid api_key or missing server_url).

License

MIT