Upsert Row with PostgreSQL API on New File Created from OpenAI (ChatGPT) API

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New File Created from the OpenAI (ChatGPT) API

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Upsert Row with the PostgreSQL API

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Getting Started#

This integration creates a workflow with a OpenAI (ChatGPT) 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 File Created trigger
1. Connect your OpenAI (ChatGPT) account
2. Configure timer
3. Optional- Select a Purpose
4. Optional- Configure Include Link
5. Optional- Configure dir
Configure the Upsert Row action
1. Connect your PostgreSQL account
2. Select a Schema
3. Select a Table
4. Select a Conflict Target
5. Configure Row 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 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:0.1.0

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 { Readable } from "stream"; import { fileTypeFromBuffer } from "file-type"; 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: "0.1.0", 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, }, includeLink: { label: "Include Link", type: "boolean", description: "Upload file to your File Stash and emit temporary download link to the file. See [the docs](https://pipedream.com/docs/connect/components/files) to learn more about working with files in Pipedream.", default: false, optional: true, }, dir: { type: "dir", accessMode: "write", optional: true, }, }, methods: { ...common.methods, getData() { return this.openai.listFiles({ purpose: this.purpose, }); }, getMeta(item) { return { id: item.id, summary: `New File: ${item.filename}`, ts: item.created_at * 1000, }; }, async stashFile(item) { const response = await this.openai.retrieveFileContent({ file_id: item.id, responseType: "arraybuffer", }); const buffer = Buffer.from(response); const filepath = `${item.id}/${item.filename}`; const type = await fileTypeFromBuffer(buffer); const file = await this.dir.open(filepath).fromReadableStream( Readable.from(buffer), type?.mime, buffer.length, ); return await file.withoutPutUrl().withGetUrl(); }, async getAndProcessItems(maxEvents) { const lastCreated = this._getLastCreated(); const { data } = await this.getData(); if (!data?.length) { return; } this._setLastCreated(data[0].created_at); const items = data?.filter(({ created_at }) => created_at >= lastCreated).reverse(); let count = 0; for (const item of items) { if (!maxEvents || count < maxEvents) { if (this.includeLink) { try { item.file = await this.stashFile(item); } catch (error) { item.file = `Could not upload file ${item.filename } to File Stash`; } } this.$emit(item, this.getMeta(item)); count++; } } }, }, 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`
Include Link	`includeLink`	`boolean`	Upload file to your File Stash and emit temporary download link to the file. See the docs to learn more about working with files in Pipedream.
	`dir`	`dir`

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#

Upsert Row on PostgreSQL

Description:Adds a new row or updates an existing row. [See the documentation](https://node-postgres.com/features/queries)

Version:2.0.9

Key:postgresql-upsert-row

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"; import { parseRowValues } from "../../common/utils.mjs"; export default { name: "Upsert Row", key: "postgresql-upsert-row", description: "Adds a new row or updates an existing row. [See the documentation](https://node-postgres.com/features/queries)", version: "2.0.9", annotations: { destructiveHint: true, openWorldHint: true, readOnlyHint: false, }, type: "action", props: { postgresql, schema: { propDefinition: [ postgresql, "schema", ], }, table: { propDefinition: [ postgresql, "table", (c) => ({ schema: c.schema, }), ], }, conflictTarget: { propDefinition: [ postgresql, "column", (c) => ({ table: c.table, schema: c.schema, }), ], label: "Conflict Target", description: "If insert fails, update the row with the same value in this column.", }, rowValues: { propDefinition: [ postgresql, "rowValues", ], description: "JSON representation of your table row values. For example: `{ \"product_name\": \"Laptop Pro 15\", \"price\": 1200.50, \"stock_quantity\": 50 }`", }, }, async run({ $ }) { const { rowValues, ...args } = this; const parsedRowValues = parseRowValues(rowValues); const columns = Object.keys(parsedRowValues); const values = Object.values(parsedRowValues); const res = await this.postgresql.upsertRow({ columns, values, errorMsg: "Row not upserted due to an error. ", ...args, }); const summary = res ? "Row upserted" : "Row not upserted"; $.export("$summary", summary); return res; }, };

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.
Schema	`schema`	`string`	Select a value from the drop down menu.
Table	`table`	`string`	Select a value from the drop down menu.
Conflict Target	`conflictTarget`	`string`	Select a value from the drop down menu.
Row Values	`rowValues`	`object`	JSON representation of your table row values. For example: `{ "product_name": "Laptop Pro 15", "price": 1200.50, "stock_quantity": 50 }`

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