Reseller Platform for Domains, Email, and SSL
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: {
opensrs: {
type: "app",
app: "opensrs",
}
},
async run({steps, $}) {
const connectionDetails = {
reseller_username: this.opensrs.$auth.reseller_username,
api_key: this.opensrs.$auth.api_key,
api_host_port: this.opensrs.$auth.api_host_port
};
//Payload of the request
const xml = `<?xml version='1.0' encoding='UTF-8' standalone='no' ?>
<!DOCTYPE OPS_envelope SYSTEM 'ops.dtd'>
<OPS_envelope>
<header>
<version>0.9</version>
</header>
<body>
<data_block>
<dt_assoc>
<item key="protocol">XCP</item>
<item key="action">LOOKUP</item>
<item key="object">DOMAIN</item>
<item key="attributes">
<dt_assoc>
<item key="domain">${this.opensrs.$auth.domain}</item>
</dt_assoc>
</item>
</dt_assoc>
</data_block>
</body>
</OPS_envelope>`;
// Generate signature
const generateSignature = (xml, apiKey) => {
let md5 = crypto.createHash('md5');
md5.update(xml + apiKey);
let firstHash = md5.digest('hex');
md5 = crypto.createHash('md5');
md5.update(firstHash + apiKey);
return md5.digest('hex');
};
const signature = generateSignature(xml, connectionDetails.api_key);
// Prepare and call OpenSRS API
const headers = {
'Content-Type': 'text/xml',
'X-Username': connectionDetails.reseller_username,
'X-Signature': signature
};
return await axios($, {
method: "POST",
url: connectionDetails.api_host_port,
headers,
data: xml
});
},
})
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}}