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https://github.com/lucgagan/auto-playwright

Automating Playwright steps using ChatGPT.
https://github.com/lucgagan/auto-playwright

ai playwright

Last synced: about 2 months ago
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Automating Playwright steps using ChatGPT.

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README 

        
# Auto Playwright



Run Playwright tests using AI.



## Setup



1. Install `auto-playwright` dependency:



```bash

npm install auto-playwright -D

```



2. This package relies on talking with OpenAI (https://openai.com/). You must export the API token as an enviroment variable or add it to your `.env` file:



```bash

export OPENAI_API_KEY='sk-..."

```



3. Import and use the `auto` function:



```ts

import { test, expect } from "@playwright/test";

import { auto } from "auto-playwright";



test("auto Playwright example", async ({ page }) => {

  await page.goto("/");



  // `auto` can query data

  // In this case, the result is plain-text contents of the header

  const headerText = await auto("get the header text", { page, test });



  // `auto` can perform actions

  // In this case, auto will find and fill in the search text input

  await auto(`Type "${headerText}" in the search box`, { page, test });



  // `auto` can assert the state of the website

  // In this case, the result is a boolean outcome

  const searchInputHasHeaderText = await auto(`Is the contents of the search box equal to "${headerText}"?`, { page, test });



  expect(searchInputHasHeaderText).toBe(true);

});

```

### Setup with Azure OpenAI



Include the StepOptions type with the values needed for connecting to Azure OpenAI.



```ts

import { test, expect } from "@playwright/test";

import { auto } from "auto-playwright";

import { StepOptions } from "../src/types";



const apiKey = "apikey";

const resource = "azure-resource-name";

const model = "model-deployment-name";



const options: StepOptions = {

   model: model,

   openaiApiKey: apiKey,

   openaiBaseUrl: `https://${resource}.openai.azure.com/openai/deployments/${model}`,

   openaiDefaultQuery: { 'api-version': "2023-07-01-preview" },

   openaiDefaultHeaders: { 'api-key': apiKey }

};



test("auto Playwright example", async ({ page }) => {

  await page.goto("/");



  // `auto` can query data

  // In this case, the result is plain-text contents of the header

  const headerText = await auto("get the header text", { page, test }, options);



  // `auto` can perform actions

  // In this case, auto will find and fill in the search text input

  await auto(`Type "${headerText}" in the search box`, { page, test }, options);



  // `auto` can assert the state of the website

  // In this case, the result is a boolean outcome

  const searchInputHasHeaderText = await auto(`Is the contents of the search box equal to "${headerText}"?`, { page, test }, options);



  expect(searchInputHasHeaderText).toBe(true);

});

```



## Usage



At minimum, the `auto` function requires a _plain text prompt_ and an _argument_ that contains your `page` and `test` (optional) objects.



```ts

auto("", { page, test });

```



### Browser automation



Running without the `test` parameter:



```ts

import { chromium } from "playwright";

import { auto } from "auto-playwright";



(async () => {

  const browser = await chromium.launch({ headless: true });

  const context = await browser.newContext();

  const page = await context.newPage();

  // Navigate to a website

  await page.goto("https://www.example.com");



  // `auto` can query data

  // In this case, the result is plain-text contents of the header

  const res = await auto("get the header text", { page });



  // use res.query to get a query result.

  console.log(res);

  await page.close();

})();

```



### Debug



You may pass a `debug` attribute as the third parameter to the `auto` function. This will print the prompt and the commands executed by OpenAI.



```ts

await auto("get the header text", { page, test }, { debug: true });

```



You may also set environment variable `AUTO_PLAYWRIGHT_DEBUG=true`, which will enable debugging for all `auto` calls.



```bash

export AUTO_PLAYWRIGHT_DEBUG=true

```



## Supported Browsers



Every browser that Playwright supports.



## Additional Options



There are additional options you can pass as a third argument:



```ts

const options = {

  // If true, debugging information is printed in the console.

  debug: boolean,

  // The OpenAI model (https://platform.openai.com/docs/models/overview)

  model: "gpt-4-1106-preview",

  // The OpenAI API key

  openaiApiKey: 'sk-...',

};



auto("", { page, test }, options);

```



## Supported Actions & Return Values



Depending on the `type` of action (inferred by the `auto` function), there are different behaviors and return types.



### Action



An action (e.g. "click") is some simulated user interaction with the page, e.g. a click on a link. Actions will return `undefined`` if they were successful and will throw an error if they failed, e.g.



```ts

try {

  await auto("click the link", { page, test });

} catch (e) {

  console.error("failed to click the link");

}

```



### Query



A query will return requested data from the page as a string, e.g.



```ts

const linkText = await auto("Get the text of the first link", { page, test });



console.log("The link text is", linkText);

```



### Assert



An assertion is a question that will return `true` or `false`, e.g.



```ts

const thereAreThreeLinks = await auto("Are there 3 links on the page?", {

  page,

  test,

});



console.log(`"There are 3 links" is a ${thereAreThreeLinks} statement`);

```



## Why use Auto Playwright?



| Aspect                         | Conventional Approach                                                               | Testing with Auto Playwright                                                                                                 |

| ------------------------------ | ----------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------- |

| **Coupling with Markup**       | Strongly linked to the application's markup.                                        | Eliminates the use of selectors; actions are determined by the AI assistant at runtime.                                      |

| **Speed of Implementation**    | Slower implementation due to the need for precise code translation for each action. | Rapid test creation using simple, plain text instructions for actions and assertions.                                        |

| **Handling Complex Scenarios** | Automating complex scenarios is challenging and prone to frequent failures.         | Facilitates testing of complex scenarios by focusing on the intended test outcomes.                                          |

| **Test Writing Timing**        | Can only write tests after the complete development of the functionality.           | Enables a Test-Driven Development (TDD) approach, allowing test writing concurrent with or before functionality development. |



## Supported Playwright Actions



- `locator.blur`

- `locator.boundingBox`

- `locator.check`

- `locator.clear`

- `locator.click`

- `locator.count`

- `locator.fill`

- `locator.getAttribute`

- `locator.innerHTML`

- `locator.innerText`

- `locator.inputValue`

- `locator.isChecked`

- `locator.isEditable`

- `locator.isEnabled`

- `locator.isVisible`

- `locator.textContent`

- `locator.uncheck`

- `page.goto`



Adding new actions is easy: just update the `functions` in [`src/completeTask.ts`](src/completeTask.ts).



## Pricing



This library is free. However, there are costs associated with using OpenAI. You can find more information about pricing here: https://openai.com/pricing/.



  Example



Using https://ray.run/ as an example, the cost of running a test step is approximately $0.01 using GPT-4 Turbo (and $0.001 using GPT-3.5 Turbo).



The low cost is in part because `auto-playwright` uses HTML sanitization to reduce the payload size, e.g. What follows is the payload that would be submitted for https://ray.run/.



Naturally, the price will vary dramatically depending on the payload.



```html



  


    


      Learn Playwright

    


    


      Resources for learning end-to-end testing using Playwright automation

      framework

    


    


  


  


    
Blog


      


        
Learn in depth subjects about end-to-end testing.


      
Ask AI


      


        
Ask ChatGPT Playwright questions.


      
Dev Tools


      


        
All-in-one toolbox for QA engineers.


      
QA Jobs


      


        
Handpicked QA and Automation opportunities.


      
Questions


      


        
Ask AI answered questions about Playwright.


      
Discord Forum


      


        
Archive of Discord Forum posts about Playwright.


      
Videos


      


        
Tutorials, conference talks, and release videos.


      
Browser Extension


      


        
GUI for generating Playwright locators.


      
QA Wiki


      


        
Definitions of common end-to-end testing terms.


      


  


  


    


      Use ⌘ +

      k + "Tools" to quickly access all tools.

    


  




```



## Implementation



### HTML Sanitization



The `auto` function uses [sanitize-html](https://www.npmjs.com/package/sanitize-html) to sanitize the HTML of the page before sending it to OpenAI. This is done to reduce cost and improve the quality of the generated text.



## ZeroStep



This project draws its inspiration from [ZeroStep](https://zerostep.com/). ZeroStep offers a similar API but with a more robust implementation through its proprietary backend. Auto Playwright was created with the aim of exploring the underlying technology of ZeroStep and establishing a basis for an open-source version of their software. For production environments, I suggest opting for ZeroStep.



Here's a side-by-side comparison of Auto Playwright and ZeroStep:



|Criteria|Auto Playwright|ZeroStep|

|---|---|---|

|Uses OpenAI API|Yes|No[^3]|

|Uses plain-text prompts|Yes|No|

|Uses [`functions`](https://www.npmjs.com/package/openai#automated-function-calls) SDK|Yes|No|

|Uses HTML sanitization|Yes|No|

|Uses Playwright API|Yes|No[^4]|

|Uses screenshots|No|Yes|

|Uses queue|No|Yes|

|Uses WebSockets|No|Yes|

|Snapshots|HTML|DOM|

|Implements parallelism|No|Yes|

|Allows scrolling|No|Yes|

|Provides fixtures|No|Yes|

|License|MIT|MIT|



[^3]: Uses ZeroStep proprietary API.

[^4]: Uses _some_ Playwright API, but predominantly relies on Chrome DevTools Protocol (CDP).



  Zero Step License



```

MIT License



Copyright (c) 2023 Reflect Software Inc



Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:



The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.



THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

```