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Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
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import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
undetectable_ai: {
type: "app",
app: "undetectable_ai",
}
},
async run({steps, $}) {
const data = {
"content": `Pipedream is a platform that allows developers to connect APIs, AI, databases, and more. It provides a fast way to build powerful applications that integrate all the services in your stack.`,
"readability": "High School",
"purpose": "General Writing",
"strength": "More Human"
};
return await axios($, {
method: "post",
url: `https://api.undetectable.ai/submit`,
headers: {
"api-key": `${this.undetectable_ai.$auth.api_key}`,
},
data,
})
},
})
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:
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}}