FaceUp
Whistleblowing System. For Companies and Schools.
Integrate the FaceUp API with the Python API
Setup the FaceUp API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate FaceUp and Python remarkably fast. Free for developers.
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Popular FaceUp and Python Triggers#
Emit new event when a new internal comment is created. Must create webhook within the Faceup UI and enter the URL of this source to receive events. See the documentation
Emit new event when a new message from a sender is created. Must create webhook within the Faceup UI and enter the URL of this source to receive events. See the documentation
Emit new event when a new report is created. Must create webhook within the Faceup UI and enter the URL of this source to receive events. See the documentation
Popular FaceUp and Python Actions#
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Connect FaceUp#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
faceup: {
type: "app",
app: "faceup",
}
},
async run({steps, $}) {
const data = {
"query": `query Statistics {
publicStatistics(
dateFrom: "2024-04-17T01:34:56.000Z"
) {
reportCountByMonth
}
}`,
}
return await axios($, {
method: "post",
url: `https://www.api.faceup.com/graphql`,
headers: {
"X-Region": `${this.faceup.$auth.region}`,
"Authorization": `${this.faceup.$auth.api_key}`,
},
data,
})
},
})
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