with CoinCatch and Python?
Gets candle data. See the documentation
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Gets depth data. See the documentation
Get history funding rate. See the documentation
Gets history orders. See the documentation
import { axios } from "@pipedream/platform";
import crypto from 'crypto';
export default defineComponent({
props: {
coincatch: {
type: "app",
app: "coincatch",
}
},
async run({ steps, $ }) {
const accessKey = this.coincatch.$auth.access_key;
const secretKey = this.coincatch.$auth.secret_key;
const passphrase = this.coincatch.$auth.passphrase;
// Helper function to generate signed headers
const createSignedHeaders = ({
method,
requestPath,
queryString = "",
body = "",
}) => {
const timestamp = Date.now().toString();
const upperMethod = method.toUpperCase();
// Build content to sign
let contentToSign = timestamp + upperMethod + requestPath;
if (queryString) {
contentToSign += "?" + queryString;
}
if (body) {
contentToSign += body;
}
// Generate signature
const hmac = crypto.createHmac("sha256", secretKey);
hmac.update(contentToSign);
const signature = hmac.digest("base64");
return {
timestamp,
method: upperMethod,
requestPath,
queryString,
body,
contentToSign,
signature,
headers: {
"ACCESS-KEY": accessKey,
"ACCESS-SIGN": signature,
"ACCESS-TIMESTAMP": timestamp,
"ACCESS-PASSPHRASE": passphrase,
},
};
};
// Call helper to get signed headers + metadata
const resp = createSignedHeaders({
method: "GET",
requestPath: "/api/mix/v1/account/accounts",
queryString: "productType=umcbl"
});
const url = `https://api.coincatch.com${resp.requestPath}${resp.queryString ? "?" + resp.queryString : ""
}`;
// Make the API request
return await axios($, {
method: resp.method,
url,
headers: resp.headers,
data: resp.body || undefined,
});
},
})
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}}