Delete a Message with Telegram Bot 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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Delete a Message with the Telegram Bot API

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Getting Started#

This integration creates a workflow with a Google Cloud trigger and Telegram Bot 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 Delete a Message action
1. Connect your Telegram Bot account
2. Configure Chat ID
3. Configure Message ID
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#

Delete a Message on Telegram Bot

Description:Deletes a message. [See the docs](https://core.telegram.org/bots/api#deletemessage) for more information

Version:0.0.5

Key:telegram_bot_api-delete-message

View on GitHub

Telegram Bot Overview#

The Telegram Bot API allows you to build bots that can interact with users on the Telegram platform. Using Pipedream, you can automate messaging, handle commands, and trigger actions based on conversations or alerts. Pipedream's serverless execution model enables you to create complex workflows involving Telegram messages without managing any infrastructure. With Pipedream's integration, you can process inbound messages, send outbound notifications, and connect the Telegram Bot API with numerous other services to create powerful automation solutions.

Action Code#

import telegramBotApi from "../../telegram_bot_api.app.mjs";

export default {
  key: "telegram_bot_api-delete-message",
  name: "Delete a Message",
  description: "Deletes a message. [See the docs](https://core.telegram.org/bots/api#deletemessage) for more information",
  version: "0.0.5",
  type: "action",
  props: {
    telegramBotApi,
    chatId: {
      propDefinition: [
        telegramBotApi,
        "chatId",
      ],
    },
    messageId: {
      propDefinition: [
        telegramBotApi,
        "messageId",
      ],
    },
  },
  async run({ $ }) {
    const resp = await this.telegramBotApi.deleteMessage(this.chatId, this.messageId);
    $.export("$summary", `Successfully deleted the message from chat, "${this.chatId}"`);
    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
Telegram Bot	`telegramBotApi`	`app`	This component uses the Telegram Bot app.
Chat ID	`chatId`	`string`	Enter the unique identifier for the target chat (e.g. `1035597319`) or username of the target public chat (in the format `@channelusername` or `@supergroupusername`). For example, if the group's public link is `t.me/mygroup`, the username is `@mygroup`.
Message ID	`messageId`	`string`	Enter the message ID.

Action Authentication#

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

To use the Telegram Bot API, you must first create a new bot by chatting with the BotFather.

After you create your bot, copy the bot token and add it below.

Delete a Message with Telegram Bot API on BigQuery - New Row from Google Cloud API

Pipedream makes it easy to connect APIs for Telegram Bot, Google Cloud and 2,400+ other apps remarkably fast.

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

Developers ♥ Pipedream

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