with Google Cloud and Columns Ai?
Builds a graph object from scratch and publishes it. See the documentation
Builds a graph object from a template and publishes it. See the documentation
Inserts rows into a BigQuery table. See the docs and for an example here
Creates a scheduled query in Google Cloud. See the documentation
The Google Cloud API opens a world of possibilities for enhancing cloud operations and automating tasks. It empowers you to manage, scale, and fine-tune various services within the Google Cloud Platform (GCP) programmatically. With Pipedream, you can harness this power to create intricate workflows, trigger cloud functions based on events from other apps, manage resources, and analyze data, all in a serverless environment. The ability to interconnect GCP services with numerous other apps enriches automation, making it easier to synchronize data, streamline development workflows, and deploy applications efficiently.
module.exports = defineComponent({
props: {
google_cloud: {
type: "app",
app: "google_cloud",
}
},
async run({steps, $}) {
// Required workaround to get the @google-cloud/storage package
// working correctly on Pipedream
require("@dylburger/umask")()
const { Storage } = require('@google-cloud/storage')
const key = JSON.parse(this.google_cloud.$auth.key_json)
const storage = new Storage({
projectId: key.project_id,
credentials: {
client_email: key.client_email,
private_key: key.private_key,
}
})
await storage.authClient.getCredentials()
return {
status: "success",
authenticated: true,
projectId: key.project_id,
serviceAccount: key.client_email
}
},
})
import { ChartType } from 'columns-graph-model';
import { Columns } from 'columns-sdk';
export default defineComponent({
props: {
columns_ai: {
type: "app",
app: "columns_ai",
}
},
async run({steps, $}) {
const rows = [{
"value": 312,
"state": "WA",
"parent": "US"
}];// rows is an example data set where you should organize your data in a similar way.
//Instantiates a Columns SDK object with your API Key.
const columns = new Columns(this.columns_ai.$auth.api_key);
const data = columns.data(['state'], ['value'], rows);
const graph = columns.graph(data);
// switch to different chart types: BAR, PIE, DOUGHGUT, LINE, AREA, SCATTER, etc.
graph.type = ChartType.COLUMN;
// customise the graph (lots of options in its data model)
graph.settings.general.palette = ['#ff0000', '#00ff00', '#0000ff'];
graph.settings.general.background = '#00000002';
return graph;
},
})