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with Phemex and Python?

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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.

Try it
Integrate the Phemex API with the Python API
Setup the Phemex API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Phemex and Python remarkably fast. Free for developers.

Connect Phemex#

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import crypto from "crypto";
import { axios } from "@pipedream/platform";
// Helper function to generate HMAC SHA256 signature
function generateSignature(secret, path, queryString, expiry, body = "") {
 // Concatenate according to Phemex rules: Path + QueryString + Expiry + Body
 const signedString = `${path}${queryString}${expiry}${body}`;
 return crypto.createHmac("sha256", secret).update(signedString).digest("hex");
}
export default defineComponent({
 props: {
 phemex: {
 type: "app",
 app: "phemex",
 }
 },
 async run({ steps, $ }) {
 const path = "/accounts/accountPositions"; //Your Phemex API URL Path, QueryString, and body as needed
 const queryString = "currency=BTC";
 const body = ""; // For GET requests, no body
 // Expiry: current Unix time + 60 seconds
 const expiry = Math.floor(Date.now() / 1000) + 60;
 // Generate signature
 const signature = generateSignature(
 this.phemex.$auth.api_secret,
 path,
 queryString,
 expiry,
 body
 );
 // Build headers
 const headers = {
 "x-phemex-access-token": this.phemex.$auth.api_key,
 "x-phemex-request-expiry": expiry,
 "x-phemex-request-signature": signature,
 };
 // Construct full URL
 const url = `${this.phemex.$auth.api_url}${path}?${queryString}`;
 // Make request
 return await axios($, {
 method: "GET", //Change the HTTP method accordingly, add body if needed
 url,
 headers,
 });
 },
})

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}}

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

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Gopuff logo
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LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo
Adyen logo
Appcues logo
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Checkr logo
ChartMogul logo
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Gorgias logo
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