apmt-reports 0.1.3

A premium, feature-rich, and beautiful automated testing HTML reporter for pytest, python, and playwright.

⚡ pytest-apmt-reporter

pytest-apmt-reporter is a premium, feature-rich, and visually stunning automated testing HTML reporter for Python, Pytest, and Playwright. It is designed as a modern, high-fidelity alternative to Allure and Robot Framework, providing responsive layouts, glowing glassmorphic dark-mode dashboards, interactive SVG charts, expandable execution step logs, failure tracebacks, and seamlessly embedded Playwright screenshots.

✨ Features

• 🔌 True Plug-and-Play (Auto-Detect): By hooking directly into standard pytest entry points, the reporter is automatically active the moment you pip install it. No configuration changes required!
• 🌐 100% Offline-First (Self-Contained): The final report compiles all layout, styles (CSS), logic (JS), and screenshots (base64 encoded PNGs) into a single, standalone HTML file. It requires absolutely zero Internet connection or CDNs to load, making it perfect for secure environments or CI/CD artifacts.
• 🎨 Premium Visual Dashboard: Designed with premium glassmorphism card layouts, smooth transition animations, sleek dark mode (with a light theme toggle), and neon indicators for passed/failed tests.
• 📊 Interactive SVG Charts: Includes clean, responsive circular progress indicators and data distributions drawn directly via SVG and animated with vanilla JS—no heavy charting libraries (like Chart.js) needed.
• 📸 Auto Playwright Failure screenshots: If a test case utilizes a Playwright page fixture and fails, the reporter automatically captures and embeds a failure screenshot inside the report.
• 📝 Hierarchical Step Logging: Allows defining nested execution steps using either standard decorators (@apmt.step) or context managers (with apmt.step), mirroring Allure and Robot Framework.
• 📎 Multi-format Attachments: Programmatically attach raw logs, JSON blobs, HTML widgets, and custom screenshots to any step or stage.

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🚀 Installation

You can easily install the reporter directly into your Python virtual environment from your project directory:

# Clone the repository and install in editable mode
pip install -e .

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🛠️ Usage

Once installed, running pytest will automatically enable the reporter and generate a file named report.html in your working directory.

Basic Commands

# Run pytest tests and generate the report with default parameters
pytest

# Specify a custom report name or output directory
pytest --apmt-html=outputs/custom_dashboard.html

# Provide a custom title for your report dashboard
pytest --apmt-title="E2E Portal Smoketests"

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📝 Code API Examples

1. Step-by-Step Logging

Organize your test cases into nested, readable, and timed blocks:

import pytest_apmt_reporter as apmt

# Using step decorator
@apmt.step("Authenticate credentials")
def login(username, password):
    ...

def test_user_purchase_flow():
    # Using step context manager
    with apmt.step("Initialize customer basket"):
        basket_id = 9988
        
    login("test_user", "password123")

2. Attaching Screenshots and Metadata

Enrich your reports with logs, JSON responses, or manual Playwright screenshots:

import pytest_apmt_reporter as apmt

def test_payment_gateway_api():
    # Attach plain text logs
    apmt.attach("Connecting to stripe sandbox...", name="Stripe API Connection")
    
    # Attach JSON payload
    apmt.attach('{"id": "ch_3M4", "status": "succeeded"}', name="Stripe Response", attachment_type=apmt.AttachmentType.JSON)
    
def test_dashboard_visual(page):
    # Capture and attach a playwright page screenshot manually
    page.goto("https://admin.portal.local")
    apmt.attach_screenshot(page, name="Dashboard Main Panel")

3. Custom Dashboard Environment Stats

Display important execution parameters (like environment, server names, CI build IDs) directly on the metrics header:

import pytest_apmt_reporter as apmt

def test_initialize():
    apmt.set_environment_info("Environment", "Staging-US-East")
    apmt.set_environment_info("Release Version", "v4.12.0-rc2")

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📊 Try the Demo

Run the pre-configured demo test suite in the repository to see all features in action:

# Run the demo tests
pytest demo/test_playwright_demo.py --apmt-html=demo_report.html

# Open the beautiful dashboard!
# Windows (PowerShell):
Start-Process demo_report.html
# macOS/Linux:
open demo_report.html