with Process Street and Python?
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Starts a workflow run. See the docs here
The Process Street API empowers you to automate and integrate your checklists and workflows with other apps to streamline business operations. With the API, you can create workflows, manage tasks, trigger actions based on checklist completion, and synchronize data across tools. This paves the way for endless possibilities in terms of project management, compliance tracking, onboarding processes, and routine audits, all managed within the familiar interface of Process Street but supercharged with Pipedream's connectivity.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
process_street: {
type: "app",
app: "process_street",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://public-api.process.st/checklists`,
headers: {
"X-API-KEY": `${this.process_street.$auth.api_key}`,
},
})
},
})
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:
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}}