Conveyor
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Integrate the Conveyor API with the Python API
Setup the Conveyor API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Conveyor and Python remarkably fast. Free for developers.
Popular Conveyor 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 Conveyor#
The Conveyor API facilitates automated management of continuous delivery for your applications, allowing you to build, test, and deploy code with ease. By leveraging Pipedream's integration capabilities, you can connect the Conveyor API with a multitude of apps to streamline your CI/CD pipeline, automate deployment tasks, and synchronize your development workflow with other services such as version control, project management, and notification systems.
Connect Conveyor#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
conveyor: {
type: "app",
app: "conveyor",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.conveyor.com/api/v2/exchange/authorization_requests`,
headers: {
"X-API-KEY": `${this.conveyor.$auth.api_key}`,
},
})
},
})
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}}