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Popular Livespace and Python Actions#
Run Python Code with the Python API
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Integrate the Livespace API with the Python API
Setup the Livespace API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Livespace and Python remarkably fast. Free for developers.
Connect Livespace#
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import { axios } from "@pipedream/platform";
import crypto from "crypto";
export default defineComponent({
props: {
livespace: {
type: "app",
app: "livespace",
}
},
async run({steps, $}) {
const concatenatedString = this.livespace.$auth.api_key
+ this.livespace.$auth.token
+ this.livespace.$auth.api_secret;
const sha1Hash = crypto.createHash('sha1')
.update(concatenatedString)
.digest('hex');
const data = {
"_api_auth": `key`,
"_api_key": `${this.livespace.$auth.api_key}`,
"_api_sha": `${sha1Hash}`,
"_api_session": `${this.livespace.$auth.session_id}`,
}
return await axios($, {
method: "post",
url: `https://${this.livespace.$auth.subdomain}.livespace.io/api/public/json/Default/User_getInfo`,
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#
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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}}Start for free — no credit card required
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