Metadata-Version: 2.4
Name: qapytest
Version: 0.1.1
Summary: A powerful testing framework based on pytest, specifically designed for QA engineers
Project-URL: Homepage, https://github.com/o73k51i/qapytest
Project-URL: Repository, https://github.com/o73k51i/qapytest
Project-URL: Documentation, https://github.com/o73k51i/qapytest/blob/main/README.md
Project-URL: Bug Reports, https://github.com/o73k51i/qapytest/issues
Author-email: o73k51i <o73k51i@proton.me>
License: MIT License
        
        Copyright (c) 2025 o73k51i
        
        Permission is hereby granted, free of charge, to any person obtaining a copy
        of this software and associated documentation files (the "Software"), to deal
        in the Software without restriction, including without limitation the rights
        to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
        copies of the Software, and to permit persons to whom the Software is
        furnished to do so, subject to the following conditions:
        
        The above copyright notice and this permission notice shall be included in all
        copies or substantial portions of the Software.
        
        THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
        IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
        FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
        AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
        LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
        OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
        SOFTWARE.
License-File: LICENSE
Keywords: automation,graphql,http,pytest,qa,redis,soft-assert,sql,test,testing
Classifier: Development Status :: 4 - Beta
Classifier: Framework :: Pytest
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: Topic :: Software Development :: Quality Assurance
Classifier: Topic :: Software Development :: Testing
Requires-Python: <3.14,>=3.10
Requires-Dist: httpx>=0.28.1
Requires-Dist: jinja2>=3.1.6
Requires-Dist: jsonschema>=4.25.1
Requires-Dist: pytest>=8.4.2
Requires-Dist: python-dotenv>=1.1.1
Requires-Dist: redis>=6.4.0
Requires-Dist: sqlalchemy>=2.0.43
Description-Content-Type: text/markdown

# QaPyTest

[![PyPI version](https://img.shields.io/pypi/v/qapytest.svg)](https://pypi.org/project/qapytest/)
[![Python versions](https://img.shields.io/pypi/pyversions/qapytest.svg)](https://pypi.org/project/qapytest/)
[![License](https://img.shields.io/github/license/o73k51i/qapytest.svg)](https://github.com/o73k51i/qapytest/blob/main/LICENSE)
[![GitHub stars](https://img.shields.io/github/stars/o73k51i/qapytest.svg?style=social)](https://github.com/o73k51i/qapytest)

`QaPyTest` — a powerful testing framework based on pytest, specifically designed for QA engineers.
Turn your ordinary tests into detailed, structured reports with built-in HTTP, SQL, Redis and GraphQL clients.

🎯 **QA made for QA** — every feature is designed for real testing and debugging needs.

## ⚡ Why QaPyTest?

- **🚀 Ready to use:** Install → run → get a beautiful report
- **🔧 Built-in clients:** HTTP, SQL, Redis, GraphQL — all in one package
- **📊 Professional reports:** HTML reports with attachments and logs
- **🎯 Soft assertions:** Collect multiple failures in one run instead of stopping at the first
- **📝 Structured steps:** Make your tests self-documenting
- **🔍 Debugging friendly:** Full traceability of every action in the test

## ⚙️ Key features

- **HTML report generation:** simple report at `report.html`.
- **Soft assertions:** allow collecting multiple failures in a single run without immediately ending the test.
- **Advanced steps:** structured logging of test steps for better report readability.
- **Attachments:** ability to add files, logs and screenshots to test reports.
- **HTTP client:** client for performing HTTP requests.
- **SQL client:** client for executing raw SQL queries.
- **Redis client:** client for working with Redis with automatic JSON (de)serialization.
- **GraphQL client:** client for executing GraphQL requests.
- **JSON Schema validation:** function to validate API responses or test artifacts with support for soft-assert and strict mode.

## 👥 Ideal for

- **QA Engineers** — automate testing of APIs, databases and web services
- **Test Automation specialists** — get a ready toolkit for comprehensive testing

## 🚀 Quick start

### 1️⃣ Installation

```bash
pip install qapytest
```

### 2️⃣ Your first powerful test

```python
from qapytest import step, attach, soft_assert, HttpClient, SqlClient

def test_comprehensive_api_validation():
    # Structured steps for readability
    with step('🌐 Testing API endpoint'):
        client = HttpClient(base_url="https://api.example.com")
        response = client.get("/users/1")
        assert response.status_code == 200
    
    # Add artifacts for debugging
    attach(response.text, 'api_response.json')
    
    # Soft assertions - collect all failures
    soft_assert(response.json()['id'] == 1, 'User ID check')
    soft_assert(response.json()['active'], 'User is active')
    
    # Database integration
    with step('🗄️ Validate data in DB'):
        db = SqlClient("postgresql://user:pass@localhost/db")
        user_data = db.fetch_data("SELECT * FROM users WHERE id = 1")
        assert len(user_data) == 1
```

### 3️⃣ Run with beautiful reports

```bash
pytest --report-html
# Open report.html 🎨
```

## 🔌 Built-in clients — everything QA needs

### 🌐 HttpClient — HTTP testing on steroids
```python
client = HttpClient(base_url="https://api.example.com", timeout=30)
response = client.post("/auth/login", json={"username": "test"})
# Automatic logging of requests/responses + timing + headers
```

### 🗄️ SqlClient — Direct DB access  
```python
db = SqlClient("postgresql://localhost/testdb")
users = db.fetch_data("SELECT * FROM users WHERE active = true")
db.execute_and_commit("UPDATE users SET last_login = NOW() WHERE id = 1")
```

### 📊 GraphQL client — Modern APIs with minimal effort
```python
gql = GraphQLClient("https://api.github.com/graphql", 
                   headers={"Authorization": "Bearer token"})
result = gql.execute("query { viewer { login } }")
```

### 🔴 RedisClient — Caching and sessions under control
```python
redis = RedisClient(host="localhost", port=6379)
redis.set_value("session:123", {"user_id": 1, "expires": "2024-01-01"})
session_data = redis.get_value("session:123")  # Automatic JSON serialization!
```

## 🎛️ Core testing tools

### 📝 Structured steps
```python
with step('🔍 Check authorization'):
    with step('Send login request'):
        response = client.post("/login", json=creds)
    with step('Validate token'):
        assert "token" in response.json()
```

### 🎯 Soft Assertions — collect all failures  
```python
soft_assert(user.id == 1, 'User ID')
soft_assert(user.active, 'Active status')
soft_assert('admin' == user.roles, 'Access rights')
# The test will continue and show all failures together!
```

### 📎 Attachments — full context
```python
attach(response.json(), 'server response')
attach(screenshot_bytes, 'error page') 
attach(content, 'application', mime='text/plain')
```

### ✅ JSON Schema validation
```python
# Strict validation — stop the test on schema validation error
validate_json(api_response, schema_path="user_schema.json", strict=True)

# Soft mode — collect all schema errors and continue test execution
validate_json(api_response, schema=user_schema, strict=False)
```

More about the API on the [documentation page](./docs/API.md).

## Test markers

QaPyTest also supports custom pytest markers to improve reporting:

- **`@pytest.mark.title("Custom Test Name")`** : sets a custom test name in the HTML report
- **`@pytest.mark.component("API", "Database")`** : adds component tags to the test

### Example usage of markers

```python
import pytest

@pytest.mark.title("User authorization check")
@pytest.mark.component("Auth", "API")
def test_user_login():
    # test code
    pass
```

## ⚙️ CLI options

- **`--env-file`** : path to an `.env` file with environment settings (default — `./.env`).
- **`--env-override`** : if set, values from the `.env` file will override existing environment variables.
- **`--report-html [PATH]`** : create a self-contained HTML report; optionally specify a path (default — `report.html`).
- **`--report-title NAME`** : set the HTML report title.
- **`--report-theme {light,dark,auto}`** : choose the report theme: `light`, `dark` or `auto` (default).
- **`--max-attachment-bytes N`** : maximum size of an attachment (in bytes) that will be inlined in the HTML; larger files will be truncated.

More about CLI options on the [documentation page](./docs/CLI.md).

## 📑 License

This project is distributed under the [license](./LICENSE).
