with Postman and Columns Ai?
Emit new event when a monitor run is completed. See the documentation
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
Updates a specific environment variable in Postman. See the documentation
The Postman API enables you to automate tasks within your Postman collections, such as running collections, fetching and updating environments, and integrating your API development workflow into your CI/CD pipeline. Using Pipedream, you can harness this functionality to create custom workflows that trigger on various events, process data, and connect with other apps, extending the capabilities of your API testing and development processes.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
postman: {
type: "app",
app: "postman",
}
},
async run({steps, $}) {
const data = {
"auth_token": `=user:NNNNNN`,
}
return await axios($, {
url: `https://api.getpostman.com/me`,
headers: {
"X-Api-Key": `${this.postman.$auth.api_key}`,
},
data,
})
},
})
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;
},
})