Tettra
The best way to organize and share knowledge with your teammates.
Integrate the Tettra API with the Python API
Setup the Tettra API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Tettra and Python remarkably fast. Free for developers.
Popular Tettra 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 Tettra#
The Tettra API lets you automate your knowledge management tasks within the Tettra knowledge base. Using Pipedream, you can create workflows to streamline content creation, manage pages and categories, and sync with your team's tool stack. Pipedream’s serverless platform enables you to connect Tettra with hundreds of other apps to automate complex processes, share information across teams and systems, and trigger actions based on events in Tettra or other integrated services.
Connect Tettra#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
tettra: {
type: "app",
app: "tettra",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://app.tettra.co/api/teams/${this.tettra.$auth.team_id}/search`,
headers: {
"Content-Type": `application/vnd.api+json`,
},
params: {
api_key: `${this.tettra.$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}}