with Google Identity 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 "axios";
import * as jsrsasign from "jsrsasign";
export default defineComponent({
props: {
google_identity: {
type: "app",
app: "google_identity",
}
},
async run({ steps, $ }) {
const serviceAccountKey = JSON.parse(this.google_identity.$auth.service_account_key);
const GOOGLE_OAUTH = 'https://www.googleapis.com/oauth2/v4/token';
// add/remove your own scopes as needed
const SCOPES = [
'https://www.googleapis.com/auth/userinfo.email',
'https://www.googleapis.com/auth/userinfo.profile',
'https://www.googleapis.com/auth/cloud-platform',
'https://www.googleapis.com/auth/cloud-identity',
];
const getJwt = async function ({ client_email, private_key }, iat) {
const header = {
typ: 'JWT',
alg: 'RS256',
};
const exp = iat + 3600;
const payload = {
aud: GOOGLE_OAUTH,
iss: client_email,
scope: SCOPES.join(' '),
iat,
exp,
};
const jwt = jsrsasign.KJUR.jws.JWS.sign(null, header, payload, private_key);
return { jwt, exp };
};
const getToken = async function (serviceAccountKey) {
const now = Math.floor(Date.now() / 1000);
const jwtInfo = await getJwt(serviceAccountKey, now);
const params = new URLSearchParams();
params.append('grant_type', 'urn:ietf:params:oauth:grant-type:jwt-bearer');
params.append('assertion', jwtInfo.jwt);
const response = await axios.post(GOOGLE_OAUTH, params, {
headers: {
'Content-Type': 'application/x-www-form-urlencoded'
}
});
const accessToken = response.data.access_token;
return accessToken;
};
const generateOAuthToken = async function () {
return await getToken(serviceAccountKey);
};
// Call the function to generate the token
const accessToken = await generateOAuthToken();
// Call the Google Identity API to search for groups
const response = await axios({
method: "GET",
url: "https://cloudidentity.googleapis.com/v1/groups:search",
headers: {
Authorization: `Bearer ${accessToken}`,
"Content-Type": "application/json"
},
params: {
query: "parent == 'customers/C046psxkn'"
}
})
return response.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}}