LaunchDarkly
Fast and reliable feature management for the modern enterprise.
Integrate the LaunchDarkly API with the Python API
Setup the LaunchDarkly API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate LaunchDarkly and Python remarkably fast. Free for developers.
Popular LaunchDarkly and Python Actions#
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Overview of LaunchDarkly#
The LaunchDarkly API provides programmatic control over feature flags and toggle management, allowing for real-time updates across different environments. By leveraging these capabilities with Pipedream, developers can automate feature rollouts, audience targeting, and performance monitoring. Through Pipedream's event-driven architecture, you can orchestrate workflows that react to changes in LaunchDarkly, sync feature flag data with other tools, and manage flag lifecycles with precision.
Connect LaunchDarkly#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
launchdarkly: {
type: "app",
app: "launchdarkly",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://app.launchdarkly.com/api/v2/projects`,
headers: {
"authorization": `${this.launchdarkly.$auth.access_token}`,
},
})
},
})
Overview of Python#
Develop, run and deploy your Python code in Pipedream workflows. Integrate seamlessly between no-code steps, with connected accounts, or integrate Data Stores and manipulate files within a workflow.
This includes installing PyPI packages, within your code without having to manage a requirements.txt file or running pip.
Below is an example of using Python to access data from the trigger of the workflow, and sharing it with subsequent workflow steps:
Connect Python#
def handler(pd: "pipedream"):
# Reference data from previous steps
print(pd.steps["trigger"]["context"]["id"])
# Return data for use in future steps
return {"foo": {"test":True}}