Download History Items with ElevenLabs 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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Download History Items with the ElevenLabs API

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Getting Started#

This integration creates a workflow with a Google Cloud trigger and ElevenLabs 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. Optional- Configure Max Rows Per Execution
5. Select a Dataset ID
6. Select a Table Name
7. Select a Unique Key
Configure the Download History Items action
1. Connect your ElevenLabs account
2. Select one or more History Item ID
3. Configure syncDir
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:0.1.9

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: "0.1.9",
  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);
    },
  },
  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 client = this.googleCloud
        .getBigQueryClient()
        .dataset(this.datasetId);

      const [
        job,
      ] = await client.createQueryJob(queryOpts);

      const [
        rows,
      ] = await job.getQueryResults();

      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();
      let query = `SELECT * FROM \`${this.tableId}\``;
      if (lastResultId) {
        query += ` WHERE \`${this.uniqueKey}\` >= @lastResultId`;
      }
      query += ` ORDER BY \`${this.uniqueKey}\` DESC`;
      const params = lastResultId
        ? {
          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)
Max Rows Per Execution	`maxRowsPerExecution`	`integer`	Maximum number of rows to process in a single execution to prevent memory issues
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#

Download History Items on ElevenLabs

Description:Download one or more history items to your workflow's `tmp` directory. If one history item ID is provided, we will return a single audio file. If more than one history item IDs are provided, we will provide the history items packed into a .zip file. [See the documentation](https://docs.elevenlabs.io/api-reference/history-download)

Version:0.0.6

Key:elevenlabs-download-history-items

View on GitHub

ElevenLabs Overview#

The ElevenLabs API offers text-to-speech capabilities with realistic voice synthesis. Integrating this API on Pipedream allows you to build automated workflows that convert text content into spoken audio files. You can trigger these conversions from various events, process the text data, send it to the ElevenLabs API, and handle the audio output—all within a serverless environment.

Action Code#

import fs from "fs";
import stream from "stream";
import { promisify } from "util";
import elevenlabs from "../../elevenlabs.app.mjs";

export default {
  key: "elevenlabs-download-history-items",
  name: "Download History Items",
  version: "0.0.6",
  annotations: {
    destructiveHint: false,
    openWorldHint: true,
    readOnlyHint: true,
  },
  description: "Download one or more history items to your workflow's `tmp` directory. If one history item ID is provided, we will return a single audio file. If more than one history item IDs are provided, we will provide the history items packed into a .zip file. [See the documentation](https://docs.elevenlabs.io/api-reference/history-download)",
  type: "action",
  props: {
    elevenlabs,
    historyItemIds: {
      propDefinition: [
        elevenlabs,
        "historyItemId",
      ],
      type: "string[]",
    },
    syncDir: {
      type: "dir",
      accessMode: "write",
      sync: true,
    },
  },
  async run({ $ }) {
    const {
      elevenlabs,
      historyItemIds,
    } = this;

    const {
      data, headers,
    } = await elevenlabs.downloadHistoryItems({
      $,
      data: {
        history_item_ids: historyItemIds,
      },
    });

    const ext = headers["content-type"].split("/").pop();

    const filePath = `/tmp/${historyItemIds.join("_")}.${ext === "mpeg"
      ? "mp3"
      : ext}`;

    const pipeline = promisify(stream.pipeline);
    await pipeline(data, fs.createWriteStream(filePath));

    $.export("$summary", `The file ${filePath} was successfully created!`);

    return {
      filePath,
    };
  },
};

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
ElevenLabs	`elevenlabs`	`app`	This component uses the ElevenLabs app.
History Item ID	`historyItemIds`	`string[]`	Select a value from the drop down menu.
syncDir	`syncDir`	`dir`

Action Authentication#

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

To retrieve your API Key,