Create Run with PractiTest API on New Run State Changed from OpenAI (ChatGPT) API

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New Run State Changed from the OpenAI (ChatGPT) API

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Create Run with the PractiTest API

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Getting Started#

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

Select this integration
Configure the New Run State Changed trigger
1. Connect your OpenAI (ChatGPT) account
2. Configure timer
3. Configure Thread ID
Configure the Create Run action
1. Connect your PractiTest account
2. Select a Project
3. Select a Instance
4. Optional- Configure Exit Code
5. Optional- Configure Run Duration
6. Optional- Configure Automated Execution Output
7. Optional- Configure Version
8. Optional- Configure Custom Fields
9. Optional- Configure Steps
10. Optional- Configure Files
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 Run State Changed on OpenAI (ChatGPT)

Description:Emit new event every time a run changes its status. [See the documentation](https://platform.openai.com/docs/api-reference/runs/listRuns)

Version:0.0.11

Key:openai-new-run-state-changed

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-run-state-changed", name: "New Run State Changed", description: "Emit new event every time a run changes its status. [See the documentation](https://platform.openai.com/docs/api-reference/runs/listRuns)", version: "0.0.11", type: "source", dedupe: "unique", props: { ...common.props, threadId: { propDefinition: [ common.props.openai, "threadId", ], }, }, methods: { ...common.methods, getStatusItems() { return this.db.get("statusItems"); }, setStatusItems(value) { this.db.set("statusItems", value); }, async getData() { const { openai, threadId, } = this; const { data } = await openai.listRuns({ threadId, }); return data; }, getMeta(item) { const ts = Date.now(); return { id: `${item.id}-${ts}`, summary: `Run State Changed: ${item.id}`, ts, }; }, statusByItemId(itemId, statusItems) { const { [itemId]: status } = statusItems || {}; return status; }, buildStatusItems(data) { return data?.reduce((acc, item) => ({ ...acc, [item.id]: item.status, }), {}); }, async getAndProcessItems(maxEvents) { const { getData, getStatusItems, setStatusItems, statusByItemId, buildStatusItems, getMeta, $emit: emit, } = this; const data = await getData(); const statusItems = getStatusItems(); Array.from(data) .reverse() .forEach((item, index) => { const statusChanged = statusByItemId(item.id, statusItems) !== item.status; if ((!maxEvents || index < maxEvents) && statusChanged) { emit(item, getMeta(item)); } }); setStatusItems(buildStatusItems(data)); }, }, 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`
Thread ID	`threadId`	`string`	The unique identifier for the thread. Example: `thread_abc123`. To locate the thread ID, make sure your OpenAI Threads setting (Settings -> Organization/Personal -> General -> Features and capabilities -> Threads) is set to "Visible to organization owners" or "Visible to everyone". You can then access the list of threads and click on individual threads to reveal their IDs

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#

Create Run on PractiTest

Description:Create a run [See docs here](https://www.practitest.com/api-v2/#create-a-run-automated-test)

Version:0.0.2

Key:practitest-create-run

View on GitHub

PractiTest Overview#

PractiTest is a test management tool that facilitates the organization, tracking, and planning of software testing processes by integrating with Pipedream's automation capabilities. With the PractiTest API, you're able to manipulate test cases, sets, runs, and report on results programmatically. This powerful combination opens the door to automated workflows that enhance testing processes, improve bug tracking, and provide real-time feedback to your team.

Action Code#

import practitest from "../../app/practitest.app.mjs"; import { defineAction } from "@pipedream/types"; import { ConfigurationError } from "@pipedream/platform"; import { DOCS } from "../../common/constants.mjs"; export default defineAction({ name: "Create Run", description: `Create a run [See docs here](${DOCS.createRun})`, key: "practitest-create-run", version: "0.0.2", annotations: { destructiveHint: false, openWorldHint: true, readOnlyHint: false, }, type: "action", props: { practitest, projectId: { propDefinition: [ practitest, "project", ], }, instanceId: { propDefinition: [ practitest, "instance", (c) => ({ projectId: c.projectId, }), ], }, exitCode: { type: "integer", label: "Exit Code", description: "0 for passed, otherwise failed", optional: true, }, runDuration: { type: "string", label: "Run Duration", description: "(HH:MM:SS), to update the run duration of a specific instance	", optional: true, }, automatedExecutionOutput: { type: "string", label: "Automated Execution Output", description: "Text output string that will be shown in 'Execution output' field (up to 255 characters)", optional: true, }, version: { propDefinition: [ practitest, "version", ], description: "String of the run version", }, customFields: { propDefinition: [ practitest, "customFields", ], }, steps: { type: "string[]", label: "Steps", description: `An array of JSON-stringified steps objects. [See the docs for a detailed description and examples.](${DOCS.createRun})`, optional: true, }, files: { type: "string[]", label: "Files", description: `An array of JSON-stringified file objects. The files' content should be encoded as base64. [See the docs for a detailed description and examples.](${DOCS.createRun})`, optional: true, }, }, async run({ $ }) { const { projectId, instanceId, exitCode, runDuration, automatedExecutionOutput, version, customFields, } = this; // parse steps and files as json strings const params = { $, projectId, attributes: { "instance-id": instanceId, "exit-code": exitCode, "run-duration": runDuration, "automated-execution-output": automatedExecutionOutput, version, "custom-fields": customFields, }, }; [ "steps", "files", ].forEach((prop) => { const value = this[prop]; if (value) { try { params[prop] = { data: value.map((str) => JSON.parse(str)), }; } catch (err) { throw new ConfigurationError(`**JSON parse error** - check if the \`${prop}\` prop is a valid JSON-stringified object \`${err.message}\``); } } }); const response = await this.practitest.createRun(params); $.export("$summary", `Successfully created run (id ${response.data.id})`); return response; }, });

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
PractiTest	`practitest`	`app`	This component uses the PractiTest app.
Project	`projectId`	`string`	Select a value from the drop down menu.
Instance	`instanceId`	`string`	Select a value from the drop down menu.
Exit Code	`exitCode`	`integer`	0 for passed, otherwise failed
Run Duration	`runDuration`	`string`	(HH:MM:SS), to update the run duration of a specific instance
Automated Execution Output	`automatedExecutionOutput`	`string`	Text output string that will be shown in 'Execution output' field (up to 255 characters)
Version	`version`	`string`	String of the run version
Custom Fields	`customFields`	`object`	A hash of custom-fields with their value
Steps	`steps`	`string[]`	An array of JSON-stringified steps objects. See the docs for a detailed description and examples.
Files	`files`	`string[]`	An array of JSON-stringified file objects. The files' content should be encoded as base64. See the docs for a detailed description and examples.

Create Run with PractiTest API on New Run State Changed from OpenAI (ChatGPT) API

Pipedream makes it easy to connect APIs for PractiTest, OpenAI (ChatGPT) and 2,800+ other apps remarkably fast.

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

Developers ♥ Pipedream

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