← OFFLIGHT + PostgreSQL integrations

Execute SQL Query with PostgreSQL API on New Task Done (Instant) from OFFLIGHT API

Pipedream makes it easy to connect APIs for PostgreSQL, OFFLIGHT and 2,400+ other apps remarkably fast.

Trigger workflow on
New Task Done (Instant) from the OFFLIGHT 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 OFFLIGHT trigger and PostgreSQL action. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

  1. Select this integration
  2. Configure the New Task Done (Instant) trigger
    1. Connect your OFFLIGHT account
  3. Configure the Execute SQL Query action
    1. Connect your PostgreSQL account
    2. Configure PostreSQL Query
  4. Deploy the workflow
  5. Send a test event to validate your setup
  6. 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

Description:Emit new event when a task is marked as complete.
Version:0.0.1
Key:offlight-new-task-done-instant

Trigger Code

import offlight from "../../offlight.app.mjs";
import sampleEmit from "./test-event.mjs";

export default {
  key: "offlight-new-task-done-instant",
  name: "New Task Done (Instant)",
  description: "Emit new event when a task is marked as complete.",
  version: "0.0.1",
  type: "source",
  dedupe: "unique",
  props: {
    offlight,
    http: {
      type: "$.interface.http",
    },
    db: "$.service.db",
  },
  methods: {
    emitTask(task) {
      this.$emit(task, {
        id: task.id,
        summary: `Task ${task.name} marked as done`,
        ts: Date.parse(task.doneAt),
      });
    },
  },
  hooks: {
    async deploy() {
      const tasks = await this.offlight.getDoneTasks();
      for (const task of tasks) {
        this.emitTask(task);
      }
    },
    async activate() {
      await this.offlight.createWebhook({
        data: {
          purpose: "doneTask",
          hookUrl: this.http.endpoint,
        },
      });
    },
    async deactivate() {
      await this.offlight.deleteWebhook({
        data: {
          purpose: "doneTask",
          hookUrl: this.http.endpoint,
        },
      });
    },
  },
  async run({ body }) {
    this.emitTask(body);
  },
  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.
LabelPropTypeDescription
OFFLIGHTofflightappThis component uses the OFFLIGHT app.
N/Ahttp$.interface.httpThis component uses $.interface.http to generate a unique URL when the component is first instantiated. Each request to the URL will trigger the run() method of the component.
N/Adb$.service.dbThis component uses $.service.db to maintain state between executions.

Trigger Authentication

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

About OFFLIGHT

To-dos and Schedules, Time-tracking in one place.

Action

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:3.0.1
Key:postgresql-execute-custom-query

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: "3.0.1",
  type: "action",
  props: {
    postgresql,
    // eslint-disable-next-line pipedream/props-description
    sql: {
      type: "sql",
      auth: {
        app: "postgresql",
      },
      label: "PostreSQL 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.

LabelPropTypeDescription
PostgreSQLpostgresqlappThis component uses the PostgreSQL app.
PostreSQL Querysqlsql

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.

About PostgreSQL

PostgreSQL is a free and open-source relational database management system emphasizing extensibility and SQL compliance.

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