Doppler
Doppler is the multi-cloud SecretOps Platform developers and security teams trust to provide secrets management at enterprise scale. Thousands of companies of all sizes use Doppler to manage and sync secrets and app configuration to every cloud provider and hosting platform, from local development environments to production.
Integrate the Doppler API with the Python API
Setup the Doppler API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Doppler and Python remarkably fast. Free for developers.
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Popular Doppler and Python Actions#
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Connect Doppler#
import { providers } from 'gitops-secrets'
export default defineComponent({
props: {
doppler_secretops: {
type: "app",
app: "doppler_secretops",
}
},
async run({steps, $}) {
process.env.DOPPLER_TOKEN = `${this.doppler_secretops.$auth.service_token}`;
const secrets = await providers.doppler.fetch();
$.export('secrets', secrets);
},
})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}}Trusted by 1,000,000+ developers from startups to Fortune 500 companies