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with Airweave and Python?
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Popular Airweave and Python Actions#
Create a new Airweave collection. Collections are logical groups of data sources that provide unified search capabilities. The newly created collection is initially empty until you add source connections to it. See the documentation
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Delete a collection and all associated data. This permanently removes the collection including all synced data and source connections. This action cannot be undone. See the documentation
Retrieve details of a specific collection by its readable ID. See the documentation
List all available data source connectors. These are the types of integrations Airweave can connect to (e.g., GitHub, Slack, Google Drive, PostgreSQL, etc.). See the documentation
Connect Airweave#
import { AirweaveSDKClient } from "@airweave/sdk";
export default defineComponent({
props: {
airweave: {
type: "app",
app: "airweave",
}
},
async run({steps, $}) {
const client = new AirweaveSDKClient({
apiKey: this.airweave.$auth.api_key,
base_url: this.airweave.$auth.base_url
});
return await client.collections.list({
skip: 1,
limit: 1
});
},
})
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