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Skill 188 · Feature Flags Python
Subchapter 188.3
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Required
Install the PostHog Python library using pip:
Terminal
PostHog AI
pip install posthog2
Required
Initialize the PostHog client with your project token and host from your project settings:
Python
PostHog AI
from posthog import Posthog
posthog = Posthog(
project_api_key='<ph_project_token>',
host='https://us.i.posthog.com'
)Django integration
If you’re using Django, check out our Django integration (opens in a new tab) for automatic request tracking.
3
Recommended
Once installed, PostHog will automatically start capturing events. You can also manually send events to test your integration:
Capture custom events by calling the capture method with an event name and properties:
Python
PostHog AI
import posthog
posthog.capture('user_123', 'user_signed_up', properties={'example_property': 'example_value'})4
Required
Check if a feature flag is enabled:
is_my_flag_enabled = posthog.feature_enabled('flag-key', 'distinct_id_of_your_user')
if is_my_flag_enabled:
# Do something differently for this user
# Optional: fetch the payload
matched_flag_payload = posthog.get_feature_flag_payload('flag-key', 'distinct_id_of_your_user')5
Optional
For multivariate flags, check which variant the user has been assigned:
enabled_variant = posthog.get_feature_flag('flag-key', 'distinct_id_of_your_user')
if enabled_variant == 'variant-key': # replace 'variant-key' with the key of your variant
# Do something differently for this user
# Optional: fetch the payload
matched_flag_payload = posthog.get_feature_flag_payload('flag-key', 'distinct_id_of_your_user')6
Required
If you want to use your feature flag to breakdown or filter events in your insights, you’ll need to include feature flag information in those events. This ensures that the feature flag value is attributed correctly to the event.
Note: This step is only required for events captured using our server-side SDKs or API.
Set send_feature_flags to True in your capture call:
Python
PostHog AI
posthog.capture(
distinct_id="distinct_id_of_the_user",
event='event_name',
send_feature_flags=True
)Include the $feature/feature_flag_name property in your event properties:
Python
PostHog AI
posthog.capture(
"event_name",
distinct_id="distinct_id_of_the_user",
properties={
"$feature/feature-flag-key": "variant-key" # replace feature-flag-key with your flag key. Replace 'variant-key' with the key of your variant
},
)7
Optional
Sometimes, you may want to evaluate feature flags using properties that haven’t been ingested yet, or were set incorrectly earlier. You can provide properties to evaluate the flag with:
posthog.get_feature_flag(
'flag-key',
'distinct_id_of_the_user',
person_properties={'property_name': 'value'},
groups={
'your_group_type': 'your_group_id',
'another_group_type': 'your_group_id'},
group_properties={
'your_group_type': {'group_property_name': 'value'},
'another_group_type': {'group_property_name': 'value'}
},
)8
Optional
Experiments run on top of our feature flags. Once you’ve implemented the flag in your code, you run an experiment by creating a new experiment in the PostHog dashboard.
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Now that you’re evaluating flags, continue with the resources below to learn what else Feature Flags enables within the PostHog platform.
| Resource | Description |
|---|---|
| Creating a feature flag (opens in a new tab) | How to create a feature flag in PostHog |
| Adding feature flag code (opens in a new tab) | How to check flags in your code for all platforms |
| Framework-specific guides (opens in a new tab) | Setup guides for React Native, Next.js, Flutter, and other frameworks |
| How to do a phased rollout (opens in a new tab) | Gradually roll out features to minimize risk |
| More tutorials (opens in a new tab) | Other real-world examples and use cases |
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