Execute Query with MySQL API on New Document Parsed from Airparser API

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New Document Parsed from the Airparser API

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Execute Query with the MySQL API

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Getting Started#

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

Select this integration
Configure the New Document Parsed trigger
1. Connect your Airparser account
2. Configure timer
3. Select a Inbox ID
Configure the Execute Query action
1. Connect your MySQL account
2. Select a Table
3. Configure Where condition
4. Configure Values
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 Document Parsed on Airparser

Description:Emit new event when a document is parsed. [See the documentation](https://help.airparser.com/public-api/public-api)

Version:0.0.1

Key:airparser-new-document-parsed

View on GitHub

Airparser Overview#

The Airparser API simplifies the process of extracting data from emails, such as order confirmations, shipping notifications, or any structured email content. By transforming emails into structured data, it enables seamless integration of email data into various workflows. On Pipedream, you can leverage this API to create automations that act on the parsed data—like updating databases, triggering notifications, or integrating with other apps and services.

Trigger Code#

import airparser from "../../airparser.app.mjs";
import { DEFAULT_POLLING_SOURCE_TIMER_INTERVAL } from "@pipedream/platform";

export default {
  key: "airparser-new-document-parsed",
  name: "New Document Parsed",
  description: "Emit new event when a document is parsed. [See the documentation](https://help.airparser.com/public-api/public-api)",
  version: "0.0.1",
  type: "source",
  dedupe: "unique",
  props: {
    airparser,
    db: "$.service.db",
    timer: {
      type: "$.interface.timer",
      default: {
        intervalSeconds: DEFAULT_POLLING_SOURCE_TIMER_INTERVAL,
      },
    },
    inboxId: {
      propDefinition: [
        airparser,
        "inboxId",
      ],
    },
  },
  hooks: {
    async deploy() {
      await this.processEvent(25);
    },
  },
  methods: {
    generateMeta(doc) {
      const ts = Date.parse(doc.processed_at);
      return {
        id: `${doc._id}${ts}`,
        summary: `New Document ${doc.name}`,
        ts,
      };
    },
    async processEvent(max) {
      const items = this.airparser.paginate({
        resourceFn: this.airparser.listDocuments,
        args: {
          inboxId: this.inboxId,
          params: {
            statuses: [
              "parsed",
            ],
          },
        },
        resourceType: "docs",
        max,
      });

      for await (const item of items) {
        const meta = this.generateMeta(item);
        this.$emit(item, meta);
      }
    },
  },
  async run() {
    await this.processEvent();
  },
};

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
Airparser	`airparser`	`app`	This component uses the Airparser app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
	`timer`	`$.interface.timer`
Inbox ID	`inboxId`	`string`	Select a value from the drop down menu.

Trigger Authentication#

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

About Airparser#

Revolutionize data extraction with the GPT-powered document parser.

Action#

Execute Query on MySQL

Description:Find row(s) via a custom query. [See the docs here](https://dev.mysql.com/doc/refman/8.0/en/select.html)

Version:2.0.5

Key:mysql-execute-query

View on GitHub

MySQL Overview#

The MySQL application on Pipedream enables direct interaction with your MySQL databases, allowing you to perform CRUD operations—create, read, update, delete—on your data with ease. You can leverage these capabilities to automate data synchronization, report generation, and event-based triggers that kick off workflows in other apps. With Pipedream's serverless platform, you can connect MySQL to hundreds of other services without managing infrastructure, crafting complex code, or handling authentication.

Action Code#

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

export default {
  key: "mysql-execute-query",
  name: "Execute Query",
  description: "Find row(s) via a custom query. [See the docs here](https://dev.mysql.com/doc/refman/8.0/en/select.html)",
  type: "action",
  version: "2.0.5",
  props: {
    mysql,
    table: {
      description: "The table where the query will be executed",
      propDefinition: [
        mysql,
        "table",
      ],
    },
    condition: {
      propDefinition: [
        mysql,
        "whereCondition",
      ],
    },
    values: {
      propDefinition: [
        mysql,
        "whereValues",
      ],
    },
  },
  async run({ $ }) {
    const {
      table,
      condition,
      values,
    } = this;

    const numberOfQuestionMarks = condition?.match(/\?/g)?.length;

    if (!numberOfQuestionMarks) {
      throw new Error("No valid condition provided. At least one question mark character ? must be provided.");
    }

    if (!Array.isArray(values)) {
      throw new Error("No valid values provided. The values property must be an array.");
    }

    if (values.length !== numberOfQuestionMarks) {
      throw new Error("The number of values provided does not match the number of question marks ? in the condition.");
    }

    const result = await this.mysql.findRows({
      table,
      condition,
      values,
    });

    $.export("$summary", `Successfully found ${result.length} row(s) from table ${table}`);

    return result;
  },
};

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
MySQL	`mysql`	`app`	This component uses the MySQL app.
Table	`table`	`string`	Select a value from the drop down menu.
Where condition	`condition`	`string`	In this expression you can write your own conditions (eg. `column1 = ? or column2 = ?`). Depending on the number of `?` symbols likewise you need to add the same number of values.
Values	`values`	`string[]`	This is the list of values that will match every `?` symbol in the where expression. If you want to build yourself the values (eg. `{{["string1", "string2"]}}`)

Action Authentication#

MySQL uses API keys for authentication. When you connect your MySQL account, Pipedream securely stores the keys so you can easily authenticate to MySQL 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 MySQL 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.