with CoinCatch and Python?
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
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}}