AutoTest for AGEST Vietnam (agest.vn)

AI-driven test automation following the AI Testing Learning Path: Python + pytest + Playwright + OpenAI + k6 + Grafana.

Stack

• Functional automation: Python + pytest + Playwright
• API testing: httpx
• Target site: https://www.agest.vn

Setup

python -m venv .venv
source .venv/bin/activate   # Windows: .venv\Scripts\activate
pip install -r requirements.txt
playwright install chromium

Run Tests

# All tests
pytest

# Smoke only
pytest -m smoke

# UI only
pytest -m ui

# API only
pytest -m api

# Parallel (pytest-xdist)
pytest -n auto

# Run without UI tests (if Chromium fails in sandbox)
pytest -m "not ui"

Project Structure

├── config/           # Settings, env
├── src/
│   ├── pages/        # Playwright page objects (POM)
│   ├── clients/      # API clients
│   ├── models/       # Pydantic schemas
│   └── parsers/      # Requirement parser (Week 1)
├── tests/
│   ├── api/          # API smoke tests
│   ├── ui/           # Playwright UI tests
│   └── unit/         # Parser/model tests
└── k6/               # Performance scripts (Week 8+)

k6 Performance Tests

# Smoke (2 VUs, 30s)
k6 run k6/agest_smoke.js

# Multi-page (5 VUs, 1m) - home, contact, about, case-studies, services
k6 run k6/agest_multi_page.js

# User journey (3 VUs, 45s) - home → service → contact
k6 run k6/agest_user_journey.js

# Load test (ramp 0→10 VUs, sustain, ramp down)
k6 run k6/agest_load.js

# Override base URL
BASE_URL=https://staging.agest.vn k6 run k6/agest_smoke.js

Requirement Parser (Week 1)

python -m src.parsers.requirement_parser requirements/sample.txt

Reports & Dashboards

• Grafana + k6 (local or cloud): Push k6 metrics for charts. See docs/SETUP_GRAFANA_AND_ALLURE.md.

  Local (Docker):

  docker compose -f docker/docker-compose.yml up -d
  ./scripts/k6_local.sh          # or scripts\k6_local.bat on Windows
  # Open http://localhost:3000 (admin/admin), import dashboard 19665

• Allure: Rich pytest reports with trends and screenshots.

# Allure: run tests and view report
pytest tests/ --alluredir=allure-results
allure serve allure-results

Learning Path Alignment

See docs/LEARNING_GUIDELINE.md for extension ideas (AI, API, CI/CD, etc.).

Week	Focus	Deliverable
1	Python foundations	✅ Requirement parser, venv, JSON output
2	Pytest core	✅ Markers, fixtures, parametrization
3	API automation	✅ httpx client, smoke tests
4	Playwright basics	✅ UI smoke, page objects
5	Framework architecture	✅ pages/, clients/, config/ layout