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playwright-agentic-automation

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Guvenlik Denetimi
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SUMMARY

Playwright + TypeScript automation framework for UI/API testing with Page Object Model, shared fixtures, reusable services, local agent skills, and an AI-ready codebase second brain

README.md

Playwright Agentic Automation (Playwright + TypeScript)

Playwright + TypeScript framework for agentic test automation across UI and API layers, with Page Object Model, shared fixtures, reusable services, codebase knowledge, and local agent skills.

What This Repo Contains

This repository is a full-stack Playwright learning lab: it contains the practice application, the automation framework, and the agent skills used to understand and maintain both.

It provides:

  • UI automation using Page Object Model
  • API automation using service classes
  • shared multi-role fixtures for browser and API sessions
  • linting, formatting, typechecking, reporting, and naming checks
  • local AGENTS.md and .agents/skills/ guidance for framework-aligned changes

Repository Layout

The practice application and automation framework live in this single learning repository:

playwright-agentic-automation/
  .agents/skills/
  app/
    backend/
    frontend/
    manual_test_cases/
  api/
  ui/
  utils/
  knowledge/
  playwright.config.ts

Prerequisites

Install the application and automation dependencies once:

# Application backend
cd app/backend
python -m venv .venv
# Windows PowerShell: .venv\Scripts\Activate.ps1
# macOS/Linux: source .venv/bin/activate
pip install -r requirements.txt

# Application frontend
cd ../frontend
npm install

# Automation framework
cd ../..
npm install
npm run install:browsers

Structure

playwright-agentic-automation/
  .agents/
    skills/
  api/
    services/
    specs/
  config/
    test-config.json
  scripts/
  ui/
    pages/
    setup/
    specs/
    test-data/
  utils/
    common/
    fixtures/
  playwright.config.ts
  package.json
  README.md
  AGENTS.md

Setup

cd playwright-agentic-automation
npm install
npm run install:browsers

Run Locally

npm test automatically starts the FastAPI backend and Vite frontend, waits until both are ready, runs the tests, and stops the processes afterward. If either service is already running locally, Playwright reuses it.

npm run test:list
npm test
npm run test:ui
npm run test:api
npm run test:debug
npm run report
npm run lint
npm run lint:fix
npm run typecheck
npm run check:naming
npm run format
npm run format:check

Manual Server Startup (Windows PowerShell)

If the VS Code Playwright extension does not start the configured web servers automatically, start them manually in two terminals.

Terminal 1 (backend):

cd C:\OCE\AUTO_WS\GH_PERS\namste-pw-2026\playwright-agentic-automation\app\backend
.\.venv\Scripts\python.exe -m uvicorn main:app --host 127.0.0.1 --port 8001

Terminal 2 (frontend):

cd C:\OCE\AUTO_WS\GH_PERS\namste-pw-2026\playwright-agentic-automation\app\frontend
$env:VITE_API_BASE_URL = "http://127.0.0.1:8001"
npm run dev -- --host 127.0.0.1 --port 5174

Keep both terminals running, then run the tests from the Playwright VS Code extension.

The default application root is app. If you use a different application checkout, set an absolute or relative application root before running tests:

# Windows PowerShell
$env:PLAYWRIGHT_APP_ROOT = "C:\src\playwright-practice-app"
npm test

# macOS/Linux
PLAYWRIGHT_APP_ROOT=/src/playwright-practice-app npm test

To run against services that are already hosted elsewhere, update BASE_URLS in config/test-config.json and disable local process startup:

$env:PLAYWRIGHT_SKIP_WEBSERVER = "1"
npm test

PLAYWRIGHT_SKIP_WEBSERVER=1 npm test

The local server ports and frontend-to-backend URL are derived from config/test-config.json; do not duplicate them in scripts.

Change Workflow

When you change test code:

npm test

When you change URLs or credentials in config/test-config.json, re-run the most relevant validation commands.

Typical validation after config changes:

npm run test:list
npm test

Framework Highlights

  • Playwright project dependencies for reusable authenticated setup
  • role-based shared fixtures in utils/fixtures/TestFixtures.ts
  • route constants centralized in page and service base classes
  • TypeScript path aliases for framework-local imports
  • custom framework logger and custom reporter summary
  • cleanup registration through the shared cleanup fixture

Quality Tools

  • ESLint uses eslint.config.mjs
  • Prettier uses .prettierrc.json and .prettierignore
  • npm run check:naming enforces framework naming conventions
  • utils/common/Logger.ts provides the framework logger
  • utils/common/CustomReporter.ts writes test-results/framework-summary.json

Persistent Codebase Knowledge

knowledge/ is a committed, offline-first second brain that follows Google Cloud Open Knowledge Format v0.2. Its Markdown concepts are the portable, model-neutral knowledge layer; the generated JSON graph and Mermaid diagrams are deterministic, AST-derived views.

The graph intentionally represents static code relationships—not runtime calls, execution traces, coverage, or a security model. It extracts imports, exports, inheritance, page-object navigation, API-service and route usage, fixtures, and package usage. Generated concepts include source hashes, provenance, and machine verification so agents can check freshness before trusting a fact.

# Generate or refresh saved AST facts, OKF concepts, Mermaid diagrams, and graph JSON
npm run knowledge:build

# Validate OKF structure, provenance/trust fields, and graph referential integrity
npm run knowledge:validate

# Fail when committed generated knowledge is stale, then validate it
npm run knowledge:check

# Query saved knowledge without reparsing the repository
npm run knowledge:query -- LoginPage
npm run knowledge:query -- --relation NAVIGATES_TO
npm run knowledge:query -- --relation USES_API_ROUTE

# Run the complete static quality gate, including knowledge freshness
npm run quality:check

If npm itself encounters the known Windows EPERM/realpath issue, run node ./scripts/buildKnowledge.mjs --check followed by node ./scripts/validateKnowledge.mjs directly.

Open knowledge/ directly as an Obsidian vault for native Markdown links, backlinks, Graph view, frontmatter properties, and Mermaid rendering. No Obsidian account, plugin, cloud service, Gemini key, vendor SDK, embedding model, or vector database is required. Keep human-authored material in architecture/, decisions/, and runbooks/; generated/ is owned by the deterministic extractor.

Sample Specs

  • ui/specs/login.spec.ts
  • ui/specs/multi-role.spec.ts
  • ui/specs/files.spec.ts
  • api/specs/health.spec.ts
  • api/specs/rbac.spec.ts

Guidance

For detailed framework rules, naming conventions, ownership boundaries, config guidance, and validation defaults, see:

  • AGENTS.md
  • .agents/skills/

Using Hermes Agent

This repository natively supports Hermes Agent since it utilizes the vendor-neutral agentskills.io standard. No code changes are required to integrate Hermes.

  1. Install Hermes: curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash
  2. Navigate: Open your terminal to the root of this repository (cd playwright-agentic-automation).
  3. Start: Run hermes. The agent will automatically detect and load AGENTS.md into its context.
  4. Register Skills (Optional): To give the agent access to the specialized local .agents/skills/ folder, register it as an external skills directory:
    hermes config set skills.external_dirs "['/path/to/playwright-agentic-automation/.agents/skills']"
    Hermes will then dynamically load the pw-api-pom, pw-framework-tooling, pw-ui-pom, and codebase-second-brain context files when your task matches their description.

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