Bigquery Insert Rows with Google Cloud API on New Question for Specific Keywords from Stack Exchange (Stack Overflow) API

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Trigger workflow on

New Question for Specific Keywords from the Stack Exchange (Stack Overflow) API

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Bigquery Insert Rows with the Google Cloud API

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Getting Started#

This integration creates a workflow with a Stack Exchange (Stack Overflow) trigger and Google Cloud action. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

Select this integration
Configure the New Question for Specific Keywords trigger
1. Connect your Stack Exchange (Stack Overflow) account
2. Select a Site
3. Configure Keywords
4. Configure timer
Configure the Bigquery Insert Rows action
1. Connect your Google Cloud account
2. Select a Dataset ID
3. Select a Table Name
4. Configure Rows
Deploy the workflow
Send a test event to validate your setup
Turn on the trigger

Details#

This integration uses pre-built, source-available components from Pipedream's GitHub repo. These components are developed by Pipedream and the community, and verified and maintained by Pipedream.

To contribute an update to an existing component or create a new component, create a PR on GitHub. If you're new to Pipedream component development, you can start with quickstarts for trigger span and action development, and then review the component API reference.

Trigger#

New Question for Specific Keywords on Stack Exchange (Stack Overflow)

Description:Emits an event when a new question is posted and related to a set of specific keywords

Version:0.0.3

Key:stack_exchange-new-question-for-keywords

View on GitHub

Stack Exchange (Stack Overflow) Overview#

The Stack Exchange API provides programmatic access to Stack Overflow and other sites on the Stack Exchange network. With this API, you can fetch questions, answers, comments, user profiles, and other data that enables you to integrate Stack Exchange's wealth of knowledge and community activities into your own applications. Using Pipedream, you can harness this data to create custom workflows that react to events on Stack Exchange, compile reports, or even automate interactions, providing a powerful tool for developers, data analysts, and content creators.

Trigger Code#

const stack_exchange = require("../../stack_exchange.app");
const { DEFAULT_POLLING_SOURCE_TIMER_INTERVAL } = require("@pipedream/platform");

module.exports = {
  key: "stack_exchange-new-question-for-keywords",
  name: "New Question for Specific Keywords",
  description:
    "Emits an event when a new question is posted and related to a set of specific keywords",
  version: "0.0.3",
  dedupe: "unique",
  type: "source",
  props: {
    stack_exchange,
    db: "$.service.db",
    siteId: {
      propDefinition: [
        stack_exchange,
        "siteId",
      ],
    },
    keywords: {
      propDefinition: [
        stack_exchange,
        "keywords",
      ],
    },
    timer: {
      type: "$.interface.timer",
      default: {
        intervalSeconds: DEFAULT_POLLING_SOURCE_TIMER_INTERVAL,
      },
    },
  },
  hooks: {
    async activate() {
      const fromDate = this._getCurrentEpoch();
      this.db.set("fromDate", fromDate);
    },
  },
  methods: {
    _getCurrentEpoch() {
      // The StackExchange API works with Unix epochs in seconds.
      return Math.floor(Date.now() / 1000);
    },
    generateMeta(data) {
      const {
        question_id: id, creation_date: ts, title,
      } = data;
      const summary = `New question: ${title}`;
      return {
        id,
        summary,
        ts,
      };
    },
  },
  async run() {
    const fromDate = this.db.get("fromDate");
    const toDate = this._getCurrentEpoch();
    const keywordsQuery = this.keywords.join(",");
    const searchParams = {
      fromDate,
      toDate,
      sort: "creation",
      order: "asc",
      closed: false,
      site: this.siteId,
      q: keywordsQuery,
    };

    const items = this.stack_exchange.advancedSearch(searchParams);
    for await (const item of items) {
      const meta = this.generateMeta(item);
      this.$emit(item, meta);
    }

    this.db.set("fromDate", toDate);
  },
};

Trigger Configuration#

This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI and CLI.

Label	Prop	Type	Description
Stack Exchange (Stack Overflow)	`stack_exchange`	`app`	This component uses the Stack Exchange (Stack Overflow) app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
Site	`siteId`	`string`	Select a value from the drop down menu.
Keywords	`keywords`	`string[]`	Keywords to search for in questions
	`timer`	`$.interface.timer`

Trigger Authentication#

Stack Exchange (Stack Overflow) uses OAuth authentication. When you connect your Stack Exchange (Stack Overflow) account, Pipedream will open a popup window where you can sign into Stack Exchange (Stack Overflow) and grant Pipedream permission to connect to your account. Pipedream securely stores and automatically refreshes the OAuth tokens so you can easily authenticate any Stack Exchange (Stack Overflow) API.

Pipedream requests the following authorization scopes when you connect your account:

read_inboxno_expirywrite_accessprivate_info

About Stack Exchange (Stack Overflow)#

Community-powered Q&A sites, including Stack Overflow

Action#

Bigquery Insert Rows on Google Cloud

Description:Inserts rows into a BigQuery table. [See the docs](https://github.com/googleapis/nodejs-bigquery) and for an example [here](https://github.com/googleapis/nodejs-bigquery/blob/main/samples/insertRowsAsStream.js).

Version:0.0.5

Key:google_cloud-bigquery-insert-rows

View on GitHub

Google Cloud Overview#

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.

Action Code#

import googleCloud from "../../google_cloud.app.mjs";
import utils from "../../common/utils.mjs";

export default {
  name: "Bigquery Insert Rows",
  version: "0.0.5",
  annotations: {
    destructiveHint: false,
    openWorldHint: true,
    readOnlyHint: false,
  },
  key: "google_cloud-bigquery-insert-rows",
  type: "action",
  description: "Inserts rows into a BigQuery table. [See the docs](https://github.com/googleapis/nodejs-bigquery) and for an example [here](https://github.com/googleapis/nodejs-bigquery/blob/main/samples/insertRowsAsStream.js).",
  props: {
    googleCloud,
    datasetId: {
      propDefinition: [
        googleCloud,
        "datasetId",
      ],
    },
    tableId: {
      propDefinition: [
        googleCloud,
        "tableId",
        ({ datasetId }) => ({
          datasetId,
        }),
      ],
    },
    rows: {
      type: "string[]",
      label: "Rows",
      description: "The rows to insert into the table. Each row is a JSON object with column names as keys and rows as values. E.g. `{\"name\": \"John\", \"age\": 20}`",
    },
  },
  async run({ $ }) {
    const {
      datasetId,
      tableId,
      rows,
    } = this;

    if (!Array.isArray(rows)) {
      throw new Error("Rows must be an array");
    }

    const rowsParsed = rows.map(utils.parse);

    try {
      const response = await this.googleCloud
        .getBigQueryClient()
        .dataset(datasetId)
        .table(tableId)
        .insert(rowsParsed);

      $.export("$summary", `Successfully inserted ${rows.length} rows into ${datasetId}.${tableId}`);

      return response;
    } catch (error) {
      console.log(JSON.stringify(error.errors, null, 2));
      throw error;
    }
  },
};

Action Configuration#

This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI.

Label	Prop	Type	Description
Google Cloud	`googleCloud`	`app`	This component uses the Google Cloud app.
Dataset ID	`datasetId`	`string`	Select a value from the drop down menu.
Table Name	`tableId`	`string`	Select a value from the drop down menu.
Rows	`rows`	`string[]`	The rows to insert into the table. Each row is a JSON object with column names as keys and rows as values. E.g. `{"name": "John", "age": 20}`

Action Authentication#

Google Cloud uses API keys for authentication. When you connect your Google Cloud account, Pipedream securely stores the keys so you can easily authenticate to Google Cloud APIs in both code and no-code steps.

Create a service account in GCP and set the permissions you need for Pipedream workflows.
Generate a service account key
Download the key details in JSON format
Upload the key below.

About Google Cloud#

The Google Cloud Platform, including BigQuery

More Ways to Connect Google Cloud + Stack Exchange (Stack Overflow)#

Other Popular Integrations#

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Bigquery Insert Rows with Google Cloud API on New Question for Specific Keywords from Stack Exchange (Stack Overflow) API

Pipedream makes it easy to connect APIs for Google Cloud, Stack Exchange (Stack Overflow) and 3,000+ other apps remarkably fast.

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

Developers ♥ Pipedream

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