vitest-midscene-e2e

Vitest Midscene E2E Modules Module Role Vitest TypeScript test framework. Provides describe / it / expect /hooks for test organization, assertions, and lifecycle. Midscene AI-driven UI automation. Interacts with UI elements via natural language — no fragile selectors. Core API: aiAct . Supported platforms: Web — WebTest (Playwright Chromium): ctx.agent + ctx.page Android — AndroidTest (ADB + scrcpy): ctx.agent only iOS — IOSTest (WebDriverAgent): ctx.agent only Workflow Step 1: Clone boilerplate & ensure project ready bash scripts/clone-boilerplate.sh The boilerplate at ~/.midscene/boilerplate/vitest-all-platforms-demo/ is the canonical reference for project structure, configs, platform context classes, and test conventions. Compare the current project against it. If anything is missing, ask the user which platform(s) they need (Web / Android / iOS), then fill in what's missing using the boilerplate as the target state. Only include files for the requested platform(s). Do NOT overwrite existing configs or files. Copy .env.example from the boilerplate as .env if it doesn't exist, and prompt the user to fill in the env vars. Step 2: Read the Midscene Agent API section below before writing tests It contains mandatory rules for using aiAct — the primary API for all UI operations. Do NOT skip this step. Step 3: Create, update, or run tests Use the boilerplate's e2e/ directory and src/context/ as reference for patterns and conventions. Before running tests, ensure dependencies are installed and .env is configured. When debugging failures, check troubleshooting.md . Midscene Agent API ctx.agent is a platform-specific agent instance. All methods return Promises. Web : PlaywrightAgent from @midscene/web/playwright Android : AndroidAgent from @midscene/android iOS : IOSAgent from @midscene/ios All three agents share the same AI methods below. Mandatory Rule: Use aiAct for User-Described Steps When the user describes a UI action or state confirmation in natural language, you MUST use aiAct to implement it. Do NOT decompose user instructions into aiTap / aiInput / aiAssert or other fine-grained APIs. Pass the user's intent directly to aiAct and let Midscene's AI handle the planning and execution. // User says: "type iPhone in the search box and click search" // WRONG — manually decomposing into fine-grained APIs await ctx . agent . aiInput ( 'search box' , { value : 'iPhone' } ) ; await ctx . agent . aiTap ( 'search button' ) ; // CORRECT — pass intent directly to aiAct await ctx . agent . aiAct ( 'type "iPhone" in the search box, then click the search button' ) ; Assertions, data extraction, and waiting should also be done via aiAct — it handles all of these. Do NOT use aiAssert , aiQuery , aiWaitFor , aiTap , or aiInput separately. aiAct(taskPrompt, opt?) — Primary API aiAct is the primary API for all UI operations and state confirmations. It accepts natural language instructions and autonomously plans and executes multi-step interactions. // UI operations await ctx . agent . aiAct ( 'type "iPhone" in the search box, then click the search button' ) ; await ctx . agent . aiAct ( 'hover over the user avatar in the top right' ) ; // State confirmations / assertions — also use aiAct await ctx . agent . aiAct ( 'verify the page shows "Login successful"' ) ; await ctx . agent . aiAct ( 'verify the error message is visible' ) ; Phase splitting: If the task prompt is too long or covers multiple distinct stages, split it into separate aiAct calls — one per phase. Each phase should be a self-contained logical step, and all phases combined must match the user's original intent. // Incorrect — prompt spans multiple pages and too many steps, AI may lose context mid-way await ctx . agent . aiAct ( 'click the settings button in the top nav, go to settings page, find personal info and click into it, change email to "test@example.com", change phone to "13800000000", click save, wait for success' ) ; // Correct — split by page/stage boundary, each phase stays within one logical context await ctx . agent . aiAct ( 'click the settings button in the top nav, go to settings page, find personal info and click into it' ) ; await ctx . agent . aiAct ( 'change email to "test@example.com", change phone to "13800000000", click save' ) ; await ctx . agent . aiAct ( 'verify the save success message appears' ) ; aiAction is deprecated. Use aiAct or ai instead. Common Mistakes Vague locators — 'button' is ambiguous; use 'the blue "Submit" button at the top of the page' Deprecated aiAction — use aiAct instead Ambiguous multi-element targets — specify row/position: 'the delete button in the first product row' Agent Configuration — aiActionContext aiActionContext is a system prompt string appended to all AI actions performed by the agent. Use it to define the AI's role and expertise. // Set via agentOptions in setup() const ctx = WebTest . setup ( 'https://example.com' , { agentOptions : { aiActionContext : 'You are a Web UI testing expert.' , } , } ) ; Good examples: 'You are a Web UI testing expert.' 'You are an Android app testing expert who is familiar with Chinese UI.' Bad examples: 'Click the login button.' — specific actions belong in aiAct() , not aiActionContext 'The page is in Chinese.' — this is page description, not a system prompt How to Look Up More In node_modules/@midscene/web , node_modules/@midscene/android , and node_modules/@midscene/ios , find the type definitions for the agent classes If types are not enough, follow the source references in the .d.ts files to read the implementation code in node_modules Download https://midscenejs.com/llms.txt , then use grep to search for the API or concept you need (the file is large, do not read it in full)