Create a Pin with Pinterest API on BigQuery - New Row from Google Cloud API

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BigQuery - New Row from the Google Cloud API

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Create a Pin with the Pinterest API

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Getting Started#

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

Select this integration
Configure the BigQuery - New Row trigger
1. Connect your Google Cloud account
2. Configure Polling interval
3. Configure Event Size
4. Select a Dataset ID
5. Select a Table Name
6. Select a Unique Key
Configure the Create a Pin action
1. Connect your Pinterest account
2. Select a Board ID
3. Optional- Select a Board Section ID
4. Configure Title
5. Optional- Configure Description
6. Optional- Configure Link
7. Optional- Configure Alt. Text
8. Configure Media
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#

BigQuery - New Row on Google Cloud

Description:Emit new events when a new row is added to a table

Version:0.1.6

Key:google_cloud-bigquery-new-row

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.

Trigger Code#

import crypto from "crypto";
import { isString } from "lodash-es";
import googleCloud from "../../google_cloud.app.mjs";
import common from "../common/bigquery.mjs";

export default {
  ...common,
  key: "google_cloud-bigquery-new-row",
  // eslint-disable-next-line pipedream/source-name
  name: "BigQuery - New Row",
  description: "Emit new events when a new row is added to a table",
  version: "0.1.6",
  dedupe: "unique",
  type: "source",
  props: {
    ...common.props,
    tableId: {
      propDefinition: [
        googleCloud,
        "tableId",
        ({ datasetId }) => ({
          datasetId,
        }),
      ],
    },
    uniqueKey: {
      type: "string",
      label: "Unique Key",
      description: "The name of a column in the table to use for deduplication. See [the docs](https://github.com/PipedreamHQ/pipedream/tree/master/components/google_cloud/sources/bigquery-new-row#technical-details) for more info.",
      async options(context) {
        const { page } = context;
        if (page !== 0) {
          return [];
        }

        const columnNames = await this._getColumnNames();
        return columnNames.sort();
      },
    },
  },
  hooks: {
    ...common.hooks,
    async deploy() {
      await this._validateColumn(this.uniqueKey);
      const lastResultId = await this._getIdOfLastRow(this.getInitialEventCount());
      this._setLastResultId(lastResultId);
    },
    async activate() {
      if (this._getLastResultId()) {
        // ID of the last result has already been initialised during deploy(),
        // so we skip the rest of the activation.
        return;
      }

      await this._validateColumn(this.uniqueKey);
      const lastResultId = await this._getIdOfLastRow();
      this._setLastResultId(lastResultId);
    },
    deactivate() {
      this._setLastResultId(null);
    },
  },
  methods: {
    ...common.methods,
    _getLastResultId() {
      return this.db.get("lastResultId");
    },
    _setLastResultId(lastResultId) {
      this.db.set("lastResultId", lastResultId);
      console.log(`
        Next scan of table '${this.tableId}' will start at ${this.uniqueKey}=${lastResultId}
      `);
    },
    /**
     * Utility method to make sure that a certain column exists in the target
     * table. Useful for SQL query sanitizing.
     *
     * @param {string} columnNameToValidate The name of the column to validate
     * for existence
     */
    async _validateColumn(columnNameToValidate) {
      if (!isString(columnNameToValidate)) {
        throw new Error("columnNameToValidate must be a string");
      }

      const columnNames = await this._getColumnNames();
      if (!columnNames.includes(columnNameToValidate)) {
        throw new Error(`Nonexistent column: ${columnNameToValidate}`);
      }
    },
    async _getColumnNames() {
      const table = this.googleCloud
        .getBigQueryClient()
        .dataset(this.datasetId)
        .table(this.tableId);
      const [
        metadata,
      ] = await table.getMetadata();
      const { fields } = metadata.schema;
      return fields.map(({ name }) => name);
    },
    async _getIdOfLastRow(offset = 0) {
      const limit = offset + 1;
      const query = `
        SELECT *
        FROM \`${this.tableId}\`
        ORDER BY \`${this.uniqueKey}\` DESC
        LIMIT @limit
      `;
      const queryOpts = {
        query,
        params: {
          limit,
        },
      };
      const rows = await this.getRowsForQuery(queryOpts, this.datasetId);
      if (rows.length === 0) {
        console.log(`
          No records found in the target table, will start scanning from the beginning
        `);
        return;
      }

      const startingRow = rows.pop();
      return startingRow[this.uniqueKey];
    },
    getQueryOpts() {
      const lastResultId = this._getLastResultId();
      const query = `
        SELECT *
        FROM \`${this.tableId}\`
        WHERE \`${this.uniqueKey}\` >= @lastResultId
        ORDER BY \`${this.uniqueKey}\` ASC
      `;
      const params = {
        lastResultId,
      };
      return {
        query,
        params,
      };
    },
    generateMeta(row, ts) {
      const id = row[this.uniqueKey];
      const summary = `New row: ${id}`;
      return {
        id,
        summary,
        ts,
      };
    },
    generateMetaForCollection(rows, ts) {
      const hash = crypto.createHash("sha1");
      rows
        .map((i) => i[this.uniqueKey])
        .map((i) => i.toString())
        .forEach((i) => hash.update(i));
      const id = hash.digest("base64");

      const rowCount = rows.length;
      const entity = rowCount === 1
        ? "row"
        : "rows";
      const summary = `${rowCount} new ${entity}`;

      return {
        id,
        summary,
        ts,
      };
    },
  },
};

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
Google Cloud	`googleCloud`	`app`	This component uses the Google Cloud app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
Polling interval	`timer`	`$.interface.timer`	How often to run your query
Event Size	`eventSize`	`integer`	The number of rows to include in a single event (by default, emits 1 event per row)
Dataset ID	`datasetId`	`string`	Select a value from the drop down menu.
Table Name	`tableId`	`string`	Select a value from the drop down menu.
Unique Key	`uniqueKey`	`string`	Select a value from the drop down menu.

Trigger 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

Action#

Create a Pin on Pinterest

Description:Create a Pin on a board or board section, [See the docs](https://developers.pinterest.com/docs/api/v5/#operation/pins/create)

Version:0.1.0

Key:pinterest-create-pin

View on GitHub

Pinterest Overview#

The Pinterest API opens a portal to interact programmatically with Pinterest's rich data, including boards, pins, and user information. By leveraging this API on Pipedream, you can automate actions like posting new pins, extracting pin data for analysis, and synchronizing Pinterest content with other platforms. The potential extends to marketing optimization, content management, and audience engagement, all automated and integrated within the Pipedream ecosystem.

Action Code#

import pinterest from "../../pinterest.app.mjs";
import { ConfigurationError } from "@pipedream/platform";
import utils from "../../common/utils.mjs";

export default {
  type: "action",
  key: "pinterest-create-pin",
  version: "0.1.0",
  name: "Create a Pin",
  description: "Create a Pin on a board or board section, [See the docs](https://developers.pinterest.com/docs/api/v5/#operation/pins/create)",
  props: {
    pinterest,
    boardId: {
      propDefinition: [
        pinterest,
        "boardId",
      ],
    },
    boardSectionId: {
      propDefinition: [
        pinterest,
        "boardSectionId",
        (configuredProps) => ({
          boardId: configuredProps.boardId,
        }),
      ],
    },
    title: {
      propDefinition: [
        pinterest,
        "title",
      ],
    },
    description: {
      propDefinition: [
        pinterest,
        "description",
      ],
    },
    link: {
      propDefinition: [
        pinterest,
        "link",
      ],
    },
    altText: {
      propDefinition: [
        pinterest,
        "altText",
      ],
    },
    media: {
      propDefinition: [
        pinterest,
        "media",
      ],
    },
  },
  async run ({ $ }) {
    let mediaSource;
    const media = this.media;
    const fileValidation = utils.isValidFile(media);
    if (fileValidation) {
      mediaSource = utils.getFileMeta(fileValidation);
    } else if (await utils.isValidUrl(media)) {
      mediaSource = utils.getUrlMeta(media);
    } else {
      const downloadedFile = await utils.getUrlResource(media);
      if (!downloadedFile) {
        throw new ConfigurationError("`media` must be a valid file path or a valid URL!");
      } else {
        mediaSource = utils.getFileMeta(downloadedFile.path, downloadedFile.contentType);
      }
    }
    const resp = await this.pinterest.createPin({
      $,
      data: {
        board_id: this.boardId,
        board_section_id: this.boardSectionId,
        title: this.title,
        description: this.description,
        link: this.link,
        alt_text: this.altText,
        media_source: mediaSource,
      },
    });
    $.export("$summary", `Pin with ID:${resp.id} has been created.`);
    return resp;
  },
};

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
Pinterest	`pinterest`	`app`	This component uses the Pinterest app.
Board ID	`boardId`	`string`	Select a value from the drop down menu.
Board Section ID	`boardSectionId`	`string`	Select a value from the drop down menu.
Title	`title`	`string`	Title of the pin
Description	`description`	`string`	Description of the pin
Link	`link`	`string`	Source link
Alt. Text	`altText`	`string`	Alt. text of the pin
Media	`media`	`string`	The media content of the pin, only images are supported currently, please provide an image url or an image file from `/tmp`. To upload a file to `/tmp` folder, please follow the doc here

Action Authentication#

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

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

boards:readboards:read_secretboards:writeboards:write_secretpins:readpins:read_secretpins:writepins:write_secretuser_accounts:read

Create a Pin with Pinterest API on BigQuery - New Row from Google Cloud API

Pipedream makes it easy to connect APIs for Pinterest, Google Cloud and 2,700+ other apps remarkably fast.

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

Developers ♥ Pipedream

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