Implementation:DataExpert io Data engineer handbook Statsig Log event

Overview

Statsig Log Event is a Wrapper Doc implementation that documents the use of the external Statsig Python SDK to track user events within A/B experiment variants. This is the concrete realization of the Principle:DataExpert_io_Data_engineer_handbook_Event_Tracking principle.

Type

Wrapper Doc (external Statsig SDK)

Source

server.py:L34-46

Code

statsig_user = StatsigUser(user_id)
statsig_event = StatsigEvent(
    user=statsig_user,
    event_name='visited_signup'
)
statsig.log_event(statsig_event)

Signature

StatsigEvent(user: StatsigUser, event_name: str) -> StatsigEvent

statsig.log_event(event: StatsigEvent) -> None

Imports

from statsig.statsig_event import StatsigEvent
from statsig.statsig_user import StatsigUser
from statsig import statsig

Inputs and Outputs

Direction	Name	Type	Description
Input	user_id	str	The user identifier, derived from either a hashed IP address (`str(hash(request.remote_addr))`) or a random ID via the `?random` query parameter
Input	event_name	str	The name of the event to log (e.g., `'visited_signup'`)
Output	(side effect)	None	The event is logged to the Statsig platform for analytics. The function returns `None`; the effect is the transmission of event data to Statsig's backend.

Behavior

A StatsigUser is created from the user_id — this must be the same identifier used for experiment assignment via statsig.get_experiment() to ensure events are correctly associated with the user's variant
A StatsigEvent is constructed with the user and the event name
statsig.log_event() sends the event to the Statsig backend asynchronously
The Statsig platform automatically correlates this event with the user's experiment variant assignment, enabling post-hoc analysis without explicit variant tagging in the event
In the source code, the event 'visited_signup' is logged when a user visits the signup-related route, serving as a conversion event for the button color experiment

External Reference

Statsig Python SDK Documentation

Related Pages

Metadata

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Principle

Implementation

Heuristic

Environment