Execute SQL Query with PostgreSQL API on New Channel Updates (Instant) from Telegram API

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New Channel Updates (Instant) from the Telegram API

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Execute SQL Query with the PostgreSQL API

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Getting Started#

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

Select this integration
Configure the New Channel Updates (Instant) trigger
1. Connect your Telegram account
Configure the Execute SQL Query action
1. Connect your PostgreSQL account
2. Configure PostgreSQL Query
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 Channel Updates (Instant) on Telegram

Description:Emit new event each time a channel post is created or updated.

Version:0.1.5

Key:telegram_bot_api-channel-updates

View on GitHub

Telegram 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.

Trigger Code#

import base from "../common/webhooks.mjs";
import sampleEmit from "./test-event.mjs";

export default {
  ...base,
  key: "telegram_bot_api-channel-updates",
  name: "New Channel Updates (Instant)",
  description: "Emit new event each time a channel post is created or updated.",
  version: "0.1.5",

  type: "source",
  dedupe: "unique",
  methods: {
    ...base.methods,
    getEventTypes() {
      return [
        "channel_post",
        "edited_channel_post",
      ];
    },
    getMeta(event, channelPost) {
      return {
        id: event.update_id,
        summary: `${channelPost.chat.title} - ${channelPost.text}`,
        ts: new Date(channelPost.edit_date ?? channelPost.date),
      };
    },
    processEvent(event) {
      const channelPost = event.edited_channel_post ?? event.channel_post;

      if (!channelPost?.chat) {
        throw new Error(`Expected event to contain a chat, but received: ${JSON.stringify(event)}`);
      }

      this.$emit(event, this.getMeta(event, channelPost));
    },
  },
  sampleEmit,
};

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
Telegram	`telegramBotApi`	`app`	This component uses the Telegram app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
N/A	`http`	`$.interface.http`	This component uses `$.interface.http` to generate a unique URL when the component is first instantiated. Each request to the URL will trigger the `run()` method of the component.

Trigger Authentication#

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

About Telegram#

Telegram, is a cloud-based, cross-platform, encrypted instant messaging (IM) service.

Action#

Execute SQL Query on PostgreSQL

Description:Execute a custom PostgreSQL query. See [our docs](https://pipedream.com/docs/databases/working-with-sql) to learn more about working with SQL in Pipedream.

Version:3.0.3

Key:postgresql-execute-custom-query

View on GitHub

PostgreSQL Overview#

On Pipedream, you can leverage the PostgreSQL app to create workflows that automate database operations, synchronize data across platforms, and react to database events in real-time. Think handling new row entries, updating records from webhooks, or even compiling reports on a set schedule. Pipedream's serverless platform provides a powerful way to connect PostgreSQL with a variety of apps, enabling you to create tailored automation that fits your specific needs.

Action Code#

import postgresql from "../../postgresql.app.mjs";

export default {
  name: "Execute SQL Query",
  key: "postgresql-execute-custom-query",
  description: "Execute a custom PostgreSQL query. See [our docs](https://pipedream.com/docs/databases/working-with-sql) to learn more about working with SQL in Pipedream.",
  version: "3.0.3",
  type: "action",
  props: {
    postgresql,
    // eslint-disable-next-line pipedream/props-description
    sql: {
      type: "sql",
      auth: {
        app: "postgresql",
      },
      label: "PostgreSQL Query",
    },
  },
  async run({ $ }) {
    const args = this.postgresql.executeQueryAdapter(this.sql);
    const data = await this.postgresql.executeQuery(args);
    $.export("$summary", `Returned ${data.length} ${data.length === 1
      ? "row"
      : "rows"}`);
    return data;
  },
};

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
PostgreSQL	`postgresql`	`app`	This component uses the PostgreSQL app.
PostgreSQL Query	`sql`	`sql`

Action Authentication#

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

Connecting to Restricted Databases

Either enable the shared static IP for this account below, or configure a VPC to deploy any workflow in your workspace to a private network with a dedicated static IP. Learn more in our docs

SSL Setup

Configure SSL on your PostgreSQL database by providing the CA (Certificate Authority), and choosing between Full Verification, Verify Certificate Authority (CA), or Skip Verification. Skipping verification is not recommended as this has serious security implications