Query SQL Database with Database API on New File Created from OpenAI (ChatGPT) API

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Trigger workflow on

New File Created from the OpenAI (ChatGPT) API

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Query SQL Database with the Database API

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Getting Started#

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

Select this integration
Configure the New File Created trigger
1. Connect your OpenAI (ChatGPT) account
2. Configure timer
3. Optional- Select a Purpose
Configure the Query SQL Database action
1. Connect your Database account
2. Select a Database Type
3. Connect your Database account
4. Connect your Database account
5. Connect your Database account
6. Connect your Database account
7. Connect your Database account
8. Connect your Database account
9. Configure sql
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 File Created on OpenAI (ChatGPT)

Description:Emit new event when a new file is created in OpenAI. [See the documentation](https://platform.openai.com/docs/api-reference/files/list)

Version:0.0.10

Key:openai-new-file-created

View on GitHub

OpenAI (ChatGPT) Overview#

OpenAI provides a suite of powerful AI models through its API, enabling developers to integrate advanced natural language processing and generative capabilities into their applications. Here’s an overview of the services offered by OpenAI's API:

Use Python or Node.js code to make fully authenticated API requests with your OpenAI account:

Trigger Code#

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

export default {
  ...common,
  key: "openai-new-file-created",
  name: "New File Created",
  description: "Emit new event when a new file is created in OpenAI. [See the documentation](https://platform.openai.com/docs/api-reference/files/list)",
  version: "0.0.10",
  type: "source",
  dedupe: "unique",
  props: {
    ...common.props,
    purpose: {
      propDefinition: [
        common.props.openai,
        "purpose",
      ],
      description: "If specified, events will only be emitted for files with the specified purpose.",
      optional: true,
    },
  },
  methods: {
    ...common.methods,
    getData() {
      return this.openai.listFiles({
        purpose: this.purpose,
      });
    },
    getMeta(item) {
      return {
        id: item.id,
        summary: `New File: ${item.filename}`,
        ts: item.created_at * 1000,
      };
    },
  },
  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
OpenAI (ChatGPT)	`openai`	`app`	This component uses the OpenAI (ChatGPT) app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
	`timer`	`$.interface.timer`
Purpose	`purpose`	`string`	Select a value from the drop down menu:`fine-tuneassistantsvisionbatch`

Trigger Authentication#

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

About OpenAI (ChatGPT)#

OpenAI is an AI research and deployment company with the mission to ensure that artificial general intelligence benefits all of humanity. They are the makers of popular models like ChatGPT, DALL-E, and Whisper.

Action#

Query SQL Database on Database

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

Version:0.0.4

Key:database-query-sql-database

View on GitHub

Database Overview#

The Database API on Pipedream allows users to execute SQL commands directly within workflows, enabling rich and dynamic data manipulation and storage. It supports PostgreSQL, MySQL, and SQLite, making it a versatile option for managing data across various database systems. With this API, users can perform tasks such as data insertion, querying, updates, and deletions, directly within their automations, facilitating real-time data processing and integration across multiple platforms.

Action Code#

/* eslint-disable no-unused-vars */
/* eslint-disable pipedream/props-label */
/* eslint-disable pipedream/props-description */
import postgresql from "../../../postgresql/postgresql.app.mjs";
import mysql from "../../../mysql/mysql.app.mjs";
import snowflake from "../../../snowflake/snowflake.app.mjs";
import azure_sql from "../../../azure_sql/azure_sql.app.mjs";
import microsoft_sql_server from "../../../microsoft_sql_server/microsoft_sql_server.app.mjs";
import turso from "../../../turso/turso.app.mjs";

export default {
  name: "Query SQL Database",
  key: "database-query-sql-database",
  description:
    "Execute a SQL Query. See [our docs](https://pipedream.com/docs/databases/working-with-sql) to learn more about working with SQL in Pipedream.",
  version: "0.0.4",
  type: "action",
  props: {
    database: {
      type: "app",
      app: "database",
    },
    db_type: {
      label: "Database Type",
      type: "string",
      description: "Select the database type you need to query",
      options: [
        {
          label: "PostgreSQL",
          value: "postgresql",
        },
        {
          label: "MySQL",
          value: "mysql",
        },
        {
          label: "Snowflake",
          value: "snowflake",
        },
        {
          label: "Azure SQL Server",
          value: "azure_sql",
        },
        {
          label: "Microsoft SQL Server",
          value: "microsoft_sql_server",
        },
        {
          label: "Turso",
          value: "turso",
        },
      ],
      reloadProps: true,
    },
    postgresql: {
      ...postgresql,
      hidden: true,
    },
    mysql: {
      ...mysql,
      hidden: true,
    },
    snowflake: {
      ...snowflake,
      hidden: true,
    },
    azure_sql: {
      ...azure_sql,
      hidden: true,
    },
    microsoft_sql_server: {
      ...microsoft_sql_server,
      hidden: true,
    },
    turso: {
      ...turso,
      hidden: true,
    },
    sql: {
      type: "sql",
      auth: {
        app: "postgresql",
      },
      hidden: true,
    },
  },
  async additionalProps(prev) {
    const db_type = this.db_type?.value || this.db_type;

    prev.snowflake.hidden = db_type !== "snowflake";
    prev.mysql.hidden = db_type !== "mysql";
    prev.postgresql.hidden = db_type !== "postgresql";
    prev.azure_sql.hidden = db_type !== "azure_sql";
    prev.microsoft_sql_server.hidden = db_type !== "microsoft_sql_server";
    prev.turso.hidden = db_type !== "turso";
    prev.sql.hidden = !db_type;

    prev.snowflake.disabled = db_type !== "snowflake";
    prev.mysql.disabled = db_type !== "mysql";
    prev.postgresql.disabled = db_type !== "postgresql";
    prev.azure_sql.disabled = db_type !== "azure_sql";
    prev.microsoft_sql_server.disabled = db_type !== "microsoft_sql_server";
    prev.turso.disabled = db_type !== "turso";

    prev.sql.disabled = !db_type;
    prev.sql.auth.app = db_type;

    return {
      sql: {
        type: "sql",
        auth: {
          app: db_type,
        },
        label: "SQL Query",
      },
    };
  },
  async run({
    steps, $,
  }) {
    const db_type = this.db_type.value || this.db_type;
    const args = this[db_type].executeQueryAdapter(this.sql);
    const data = await this[db_type].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
Database	`database`	`app`	This component uses the Database app.
Database Type	`db_type`	`string`	Select a value from the drop down menu:`{ "label": "PostgreSQL", "value": "postgresql" }{ "label": "MySQL", "value": "mysql" }{ "label": "Snowflake", "value": "snowflake" }{ "label": "Azure SQL Server", "value": "azure_sql" }{ "label": "Microsoft SQL Server", "value": "microsoft_sql_server" }{ "label": "Turso", "value": "turso" }`