Testing Strategy

Relevant source files

The following files were used as context for generating this wiki page:

• package.json
• todo.md
• app/(tabs)/analyze.tsx
• app/(tabs)/chat.tsx
• app/dev/theme-lab.tsx
• lib/_core/api.ts

The testing strategy for the aidoit4u-mobile-app combines automated checks, a structured manual quality assurance (QA) plan, and in-component data mocking for UI development. The approach uses vitest for unit testing and typescript for static analysis. A detailed QA checklist guides manual testing across different platforms and scenarios.

For UI development, features are built with simulated API responses using setTimeout to allow for rapid iteration on the user interface without a dependency on a live backend. This is complemented by dedicated development screens, such as a theme lab, for visual debugging.

Testing Frameworks and Tooling

The project is configured with a suite of tools for static analysis and automated testing, defined in package.json.

Sources: package.json

Test Execution

The primary command for running the test suite is pnpm test, which executes vitest run.

Script	Command	Description
test	vitest run	Runs the unit test suite using Vitest.
lint	expo lint	Lints the codebase using the configuration from eslint-config-expo.
check	tsc --noEmit	Performs static type checking with TypeScript without generating JavaScript files.

Sources: package.json:17-19

Dependencies

The core testing and quality dependencies include:

• vitest: A unit testing framework.
• typescript: For static type checking.
• eslint: For code linting.
• prettier: For code formatting.

Sources: package.json:88, 91-93

Manual Testing and Quality Assurance

A comprehensive manual testing plan is outlined in the project's todo.md file. This plan covers end-to-end user flows, multi-platform verification, and specific feature validation.

Sources: todo.md:73-86

QA Checklist

The "Phase 12: Testing & QA" section specifies the following manual checks to be performed:

• Write unit tests for utility functions.
• Test all user flows end-to-end.
• Test on both iOS and Android devices.
• Verify accessibility features (e.g., VoiceOver, text scaling).
• Test both dark and light modes.
• Test with different screen sizes.

Sources: todo.md:73-79

Performance and Optimization Testing

Phase 13 focuses on performance, indicating that manual testing also includes profiling and optimization tasks.

• Optimize image loading and caching.
• Implement and test lazy loading for document lists.
• Reduce the application bundle size.
• Profile and optimize rendering performance.

Sources: todo.md:81-85

UI Development with Mock Data

To facilitate rapid UI development, several components use mocked data and simulated API calls. This pattern involves using setTimeout to mimic network latency and return hardcoded results, allowing developers to build and test the UI's loading, success, and data-rendering states independently of the backend.

Sources: app/(tabs)/analyze.tsx, app/(tabs)/chat.tsx

Example: Document Analysis Simulation

In the AnalyzeScreen, the handleAnalyze function simulates an API call. It sets an isAnalyzing state to true, then after a 2-second delay, it populates the analysisResults state with mock data.

The following diagram illustrates the sequence of this simulated analysis flow.

Example: AI Chat Simulation

Similarly, the ChatScreen simulates an AI response. When a user sends a message, a loading state is triggered, and a hardcoded AI response is added to the message list after a 1.5-second delay.

// app/(tabs)/chat.tsx:46-58
setTimeout(() => {
  const aiMessage: Message = {
    id: (Date.now() + 1).toString(),
    text: t("thisIsASimulated" as any),
    sender: "ai",
    timestamp: new Date().toLocaleTimeString([], { hour: "2-digit", minute: "2-digit" }),
  };
  setMessages((prev) => [...prev, aiMessage]);
  setIsLoading(false);
}, 1500);

Sources: app/(tabs)/chat.tsx:46-58

Development and Debugging Tools

The project includes dedicated screens for development and debugging purposes, which are not part of the production build.

Theme Lab

The ThemeLabScreen is a visual tool for testing and verifying the application's theming. It allows developers to:

• Toggle between light and dark color schemes.
• View all color tokens and their hex values for the active theme.
• Test the appearance of UI components like buttons and badges in real-time.
• Confirm that useColors() hook values update correctly.

This screen is crucial for ensuring visual consistency and debugging theme-related issues across the application.

Sources: app/dev/theme-lab.tsx

API Call Logging

The apiCall utility function includes extensive console logging to aid in debugging during development. It logs the endpoint, request method, headers, and response status for every API call, providing clear visibility into network interactions.

// lib/_core/api.ts:25-27
console.log("[API] Full URL:", url);

try {
  console.log("[API] Making request...");

Sources: lib/_core/api.ts:10-48

Summary

The project's testing strategy is a pragmatic mix of automation, manual QA, and development-time simulation. It leverages vitest for unit tests and TypeScript for type safety. A detailed manual testing checklist ensures cross-platform compatibility, accessibility, and performance. In-component data mocking accelerates UI development by decoupling it from backend services, while dedicated debugging screens like the Theme Lab help maintain visual quality and consistency.