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with Faros and Python?
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Popular Faros 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 Faros#
The Faros API opens a gateway to streamline data from engineering tools into analytics-ready formats. With it, you can automate the aggregation of data from project management, source control, CI/CD, and incident management systems into Faros's unified data model. It's about turning disparate data points into actionable insights, which can lead to more informed decision-making and streamlined workflows.
Connect Faros#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
faros: {
type: "app",
app: "faros",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.faros.ai/v0/admin/user/me`,
headers: {
"Content-Type": `application/json`,
"Authorization": `${this.faros.$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}}Trusted by 1,000,000+ developers from startups to Fortune 500 companies