pato-1441/autoduck

<explanation>

1. Identify the project type and purpose

- This is a full‑stack web application named “Autoduck” that provides an AI‑powered, natural‑language test creation and execution environment using Playwright.

- The frontend is a React/Vite/Tailwind SPA. The backend is a Node.js/Express server orchestrating AI calls and browser automation (Playwright).

2. Analyze the file structure

- Top‑level:

• package.json, pnpm‑lock.yaml, index.html, tailwind.config.js, vite.config.ts, tsconfigs → frontend configuration

• backend/ → contains server.js, Express routes, services for AI and browser control, socket handlers, and startup scripts

• src/ → React components under components/, hooks/, utils/, types/

• public/ → static assets

- Patterns & deployment artifacts:

• Dev scripts (pnpm dev, dev:front, dev:back)

• Build scripts (build frontend, build:back)

• No database directory → this version uses filesystem for screenshots/videos and calls external AI API.

3. Extract architecture hints from README

- Frontend communicates with backend via REST API for configuration and WebSockets for real‑time test execution events.

- Backend services:

• aiService.js → wraps OpenAI (or similar) calls to generate Playwright code

• browserService.js → spawns Playwright browser instances, runs tests, captures screenshots/videos

• socketHandlers.js → streams test execution events back to the frontend

- Routes in backend/routes/api.js expose endpoints for starting tests, fetching active browser info, etc.

4. Main components and relationships for the system diagram

a. Frontend (React SPA)

- Components:

• Setup UI (API key, target URL)

• Test creation UI (natural language step input)

• Results UI (progress, screenshots, pass/fail)

- Technologies: React, TypeScript, Vite, Tailwind

b. Backend (Node.js/Express)

- API Layer (Express routes)

- AI Service (external AI provider)

- Browser Service (Playwright orchestrator)

- WebSocket Layer (socket.io or ws)

- Utility modules and startup scripts

c. External Services

- AI Provider API (e.g., OpenAI)

- Headless Browser Engine (Chromium via Playwright)

d. Filesystem artifacts

- Screenshots, videos saved on disk (optional output folders)

Relationships:

1. User’s browser ↔ Frontend UI (HTTP/WS)

2. Frontend ↔ Backend REST API (HTTP)

3. Frontend ↔ Backend WebSocket (real-time events)

4. Backend ↔ AI Provider (HTTPS)

5. Backend ↔ Playwright Browser Process (local child process)

6. Backend writes screenshots/videos to disk and streams paths back to frontend

5. Architectural patterns and design principles

- Separation of concerns: UI vs. orchestration vs. AI vs. browser control

- Event-driven updates via WebSockets

- Modular services in backend: each service has a single responsibility

- Configurable prompts (backend/prompts) to tweak AI behavior

- Client‑server model with real‑time streaming

6. Guidelines for tailoring the diagram

- Draw the frontend as one bounded box containing React components, specifying sub‑modules for Setup, TestCreation, Results.

- Draw the backend as a second bounded box with labeled sub‑boxes:

• API Routes

• aiService

• browserService

• socketHandlers

• scripts/init.js

- Show external AI Service and Browser Engine as external boxes connected to the respective backend sub‑boxes.

- Illustrate filesystem output (screenshots/, videos/) as a storage icon connected to browserService.

7. Visual conventions to include

- Clear labels on each component and sub‑component

- Directional arrows:

• HTTP arrows for REST calls

• WS arrows for WebSocket streams

• HTTPS arrows to external AI API

• Process arrows to Playwright browser

- Color coding/shapes:

• Blue rectangles for frontend modules

• Green rectangles for backend modules

• Gray cylinders for storage (screenshots/videos)

• Cloud‑style icons for external AI provider

• Cylinder/process icon for browser engine

8. Final notes

- Capture all essential modules without over‑fragmenting: group related services under the backend box.

- Emphasize real‑time, event‑driven flow from backend → frontend for test step execution and feedback.

- Ensure the diagram’s legend explains color/shapes and arrow styles for clarity.

- Keep it detailed yet organized so stakeholders can see each piece and its responsibilities at a glance.

</explanation>