rapidtest 0.2.0

A simple testing framework for FastAPI

FastTest 🚀

A lightweight and simple library to simplify REST API testing. Designed to be intuitive, fast to implement, and with clear visual reports.

✨ Features

• Simplicity: Perform HTTP requests (GET, POST, PUT, PATCH, DELETE) in a single line.
• Automatic Validation: Automatically compare status codes and response bodies.
• Visual Reports: Formatted console output with colors to identify failures quickly.
• FastData: Integrated random data generator (using Faker) for dynamic testing.

🛠️ Installation

Make sure you have the necessary dependencies installed:

pip install requests faker

🚀 Quick Start

1. Initialize FastTest

from FastTest import FastTest

# Configure your API's base URL
tester = FastTest("http://localhost:8000")

2. Run Tests

GET

tester.get("/users", expected_status=200)

POST with Body Validation

user_data = {"username": "hector", "password": "123"}
tester.post("/user", data=user_data, expected_status=201, expected_body=user_data)

PUT / PATCH / DELETE

# Update data
tester.put("/user/hector", data={"password": "new_password"}, expected_status=200)

# Delete resource
tester.delete("/user/hector", expected_status=200)

3. Generate Random Data (FastData)

Use FastData to create test data on the fly:

from FastData import FastData

user = FastData.generate_auth_user()
email = FastData.generate_email()

print(user) # {'username': '...', 'password': '...'}

📊 Reports

Each test generates a visual report in the console like this:

============================================================
 TEST PASSED 
============================================================
URL:    http://localhost:8000/user
Status: 201
Body:
{
    "username": "hector",
    "password": "123"
}
============================================================

📁 Project Structure

• FastTest.py: Core library logic.
• FastData.py: Random data generator.
• utils.py: Formatting and reporting utilities.

---

Built to simplify a developer's life. Happy testing! 🛠️