This is an optional library you can install if you're working with Python. It uses an internal queue to make calls fast and non-blocking. It also batches requests and flushes asynchronously, making it perfect to use in any part of your web app or other server side application that needs performance.
Installation
pip install posthog
In your app, import the posthog
library and set your api key and host before making any calls.
import posthog# Substitutes posthog.api_key which still exists but has been deprecatedposthog.project_api_key = '<ph_project_api_key>'# Only necessary if you want to use feature flagsposthog.personal_api_key = '<ph_personal_api_key>'# You can remove this line if you're using app.posthog.composthog.host = '<ph_instance_address>'
You can read more about the differences between the project and personal API keys in the dedicated API authentication section of the Docs.
Note: As a general rule of thumb, we do not recommend having API keys in plaintext. Setting it as an environment variable would be best.
You can find your keys in the 'Project Settings' page in PostHog.
To debug, you can toggle debug mode on:
posthog.debug = True
And to make sure no calls happen during your tests, you can disable them, like so:
if settings.TEST:posthog.disabled = True
Making Calls
Capture
Capture allows you to capture anything a user does within your system, which you can later use in PostHog to find patterns in usage, work out which features to improve or where people are giving up.
A capture
call requires:
distinct id
which uniquely identifies your userevent name
to specify the event
- We recommend naming events with "[noun][verb]", such as
movie played
ormovie updated
, in order to easily identify what your events mean later on (we know this from experience).
Optionally you can submit:
properties
, which is a dictionary with any information you'd like to addtimestamp
, a datetime object for when the event happened. If this isn't submitted, it'll be set to the current timeuuid
, a uniqueuuid
for the event, leave blank to autogeneratesend_feature_flags
, a boolean that determines whether to send current known feature flags with this event. This is useful when running experiments which depends on this event. However, this makes things slow. Read this tutorial for manually computing this information and speeding things up
For example:
posthog.capture('distinct id', 'movie played', {'movie_id': '123', 'category': 'romcom'})
or
posthog.capture('distinct id', event='movie played', properties={'movie_id': '123', 'category': 'romcom'}, timestamp=datetime.utcnow().replace(tzinfo=tzutc()))
Setting user properties via an event
To set properties on your users via an event, you can leverage the event properties $set
and $set_once
.
$set
Example
posthog.capture('distinct id',event='movie played',properties={ '$set': { 'userProperty': 'value' } })
Usage
When capturing an event, you can pass a property called $set
as an event property, and specify its value to be an object with properties to be set on the user that will be associated with the user who triggered the event.
$set_once
Example
posthog.capture('distinct id',event='movie played',properties={ '$set_once': { 'userProperty': 'value' } })
Usage
$set_once
works just like $set
, except that it will only set the property if the user doesn't already have that property set.
Identify
We highly recommend reading our section on Identifying users to better understand how to correctly use this method.
Identify lets you add metadata to your users so you can easily identify who they are in PostHog, as well as do things like segment users by these properties.
An identify
call requires:
distinct id
which uniquely identifies your userproperties
with a dict with any key:value pairs
For example:
posthog.identify('distinct id', {'email': 'dwayne@gmail.com','name': 'Dwayne Johnson'})
The most obvious place to make this call is whenever a user signs up, or when they update their information.
Alias
To connect whatever a user does before they sign up or log in with what they do after you need to make an alias call. This will allow you to answer questions like "Which marketing channels leads to users churning after a month?" or "What do users do on our website before signing up?"
In a purely back-end implementation, this means whenever an anonymous user does something, you'll want to send a session ID (Django, Flask) with the capture call. Then, when that users signs up, you want to do an alias call with the session ID and the newly created user ID.
The same concept applies for when a user logs in.
If you're using PostHog in the front-end and back-end, doing the identify
call in the frontend will be enough.
An alias
call requires:
distinct id
– the current unique id (logged in user id)alias
– the other distinct ID of the user, which will be aliased to the current one
For example:
posthog.alias('user:123', 'session:12345');
Feature flags
PostHog's Feature Flags allow you to safely deploy and roll back new features.
When using them with one of libraries, you should check if a feature flag is enabled and use the result to toggle functionality on and off in you application.
How to check if a flag is enabled
Note: Whenever we face an error computing the flag, the library returns
None
, instead oftrue
,false
, or a string variant value.
posthog.feature_enabled('beta-feature', 'distinct id')# returns True or False or None
Example use case
Here's how you might send different users a different version of your homepage, for example:
def homepage(request):template = "new.html" if posthog.feature_enabled('new_ui', 'distinct id') else "old.html"return render_template(template, request=request)
Note: Feature flags are persistent for users across sessions. Read more about feature flag persistence on our dedicated page.
Get a flag value
If you're using multivariate feature flags, you can also get not just whether the flag is enabled, but what value its enabled to.
Note: Whenever we face an error computing the flag, the library returns
None
, instead oftrue
,false
, or a string variant value.
posthog.get_feature_flag('beta-feature', 'distinct id')# returns string or True or False or None
Overriding server properties
Sometimes, you might want to evaluate feature flags using properties that haven't been ingested yet, or were set incorrectly earlier. You can do so by setting properties the flag depends on with these calls.
For example, if the beta-feature
depends on the is_authorized
property, and you know the value of the property, you can tell PostHog to use this property, like so:
posthog.get_feature_flag('beta-feature', 'distinct id', person_properties={'is_authorized': True})# returns string or None
The same holds for groups. If you have a group name organisation
, you can add properties like so:
posthog.get_feature_flag('beta-feature', 'distinct id', groups={'organisation': 'google'}, group_properties={'organisation': {'is_authorized': True})# returns string or None
Getting all flag values
You can also get all known flag values as well. This is useful when you want to seed a frontend client with initial known flags. Like all methods above, this also takes optional person and group properties, if known.
posthog.get_all_flags('distinct id', groups={}, person_properties={'is_authorized': True}, group_properties={})# returns dict of flag key and value pairs.
Local Evaluation
Note: To enable local evaluation of feature flags you must also set a
personal_api_key
when configuring the integration, as described in the Installation section.
Note: This feature requires version 2.0 of the library, which in turn requires a minimum PostHog version of 1.38
All feature flag evaluation requires an API request to your PostHog servers to get a response. However, where latency matters, you can evaluate flags locally. This is much faster, and requires two things to work:
- The library must be initialised with a personal API key
- You must know all person or group properties the flag depends on.
Then, the flag can be evaluated locally. The method signature looks exactly like above
posthog.get_feature_flag('beta-feature', 'distinct id', person_properties={'is_authorized': True})# returns string or None
Note: New feature flag definitions are polled every 30 seconds by default, which means there will be up to a 30 second delay between you changing the flag definition, and it reflecting on your servers. You can change this default on the client by setting
posthog.poll_interval = <value in seconds>
.
This works for get_all_flags
as well. It evaluates all flags locally if possible. If even one flag isn't locally evaluable, it falls back to decide.
posthog.get_all_flags('distinct id', groups={}, person_properties={'is_authorized': True}, group_properties={})# returns dict of flag key and value pairs.
Restricting evaluation to local only
Sometimes, performance might matter to you so much that you never want an HTTP request roundtrip delay when computing flags. In this case, you can set the only_evaluate_locally
parameter to true, which tries to compute flags only with the properties it has. If it fails to compute a flag, it returns None
, instead of going to PostHog's servers to get the value.
Cohort expansion
To support feature flags that depend on cohorts locally as well, we translate the cohort definition into person properties, so that the person properties you set can be used to evaluate cohorts as well.
However, there are a few constraints here and we don't support doing this for arbitrary cohorts. Cohorts won't be evaluated locally if:
- They have non-person properties
- There's more than one cohort in the feature flag definition.
- The cohort in the feature flag is in the same group as another condition.
- The cohort has nested AND-OR filters. Only simple cohorts that have a top level OR group, and inner level ANDs will be evaluated locally.
Note that this restriction is for local evaluation only. If you're hitting PostHog's servers, all of these cohorts will be evaluated as expected.
Group analytics
PostHog 1.31.0 introduced support for group analytics, which allows you to associate users and events with larger groups (teams, organizations, etc.). This feature requires a posthog-python version of 1.4.3
or above.
Note: This is a paid feature and is not available on the open-source or free cloud plan. Learn more here.
- Capture an event and associate it with a group
posthog.capture('[distinct id]', 'some event', groups={'company': 'id:5'})
- Update properties on a group
posthog.group_identify('company', 'id:10', {'company_name': 'company_name','employees': 11})
Sending page views
If you're aiming for a full back-end implementation of PostHog, you can send pageviews
from your backend
posthog.capture('distinct id', '$pageview', {'$current_url': 'https://example.com'})
Django
For Django, you can do the initialisation of the key in the AppConfig, so that it's available everywhere.
in yourapp/apps.py
from django.apps import AppConfigimport posthogclass YourAppConfig(AppConfig):def ready(self):posthog.api_key = '<ph_project_api_key>'posthog.host = '<ph_instance_address>' # You can remove this line if you're using app.posthog.com
Then, anywhere else in your app you can do:
import posthogdef purchase(request):# example captureposthog.capture(request.user.pk, 'purchase', ...)
Integrations
Sentry
When using Sentry in Python, you can connect to PostHog in order to link Sentry errors to PostHog user profiles.
Example implementation
See the sentry_django_example
project for a complete example.
import sentry_sdkfrom sentry_sdk.integrations.django import DjangoIntegrationfrom posthog.sentry.posthog_integration import PostHogIntegrationPostHogIntegration.organization = "orgname"sentry_sdk.init(dsn="https://examplePublicKey@o0.ingest.sentry.io/0",integrations=[DjangoIntegration(), PostHogIntegration()],)# Also set `posthog_distinct_id` tagfrom sentry_sdk import configure_scopewith configure_scope() as scope:scope.set_tag('posthog_distinct_id', 'some distinct id')
Example implementation with Django
This can be made automatic in Django, by adding the following middleware and settings to settings.py
:
MIDDLEWARE = ["posthog.sentry.django.PosthogDistinctIdMiddleware"]POSTHOG_DJANGO = {"distinct_id": lambda request: request.user and request.user.distinct_id}
Alternative name
As our open source project PostHog shares the same module name, we created a special posthoganalytics
package, mostly for internal use to avoid module collision. It is the exact same.
Thank you
This library is largely based on the analytics-python
package.