with Columns Ai and Google Postmaster Tools?
Emits a new event when traffic stats match certain criteria. 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
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;
},
})
The Google Postmaster Tools API offers insights into the performance and deliverability of emails sent to Gmail users. It provides data on spam rates, feedback loops, delivery errors, and more, allowing senders to optimize email campaigns and enhance inbox placement. In Pipedream, you can harness this data to automate monitoring, analyze sending patterns, and integrate email performance metrics with other services for comprehensive analysis and action.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
google_postmaster_tools_api: {
type: "app",
app: "google_postmaster_tools_api",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://www.googleapis.com/oauth2/v1/userinfo`,
headers: {
Authorization: `Bearer ${this.google_postmaster_tools_api.$auth.oauth_access_token}`,
},
})
},
})