An open API service indexing awesome lists of open source software.

https://github.com/dev2forge/basicreturns

Python Basic Returns - Pypi Package
https://github.com/dev2forge/basicreturns

Last synced: about 2 months ago
JSON representation

Python Basic Returns - Pypi Package

Awesome Lists containing this project

README

          

# BasicReturns 🐍

DeepWiki

[![PyPI Version](https://img.shields.io/pypi/v/BasicReturns.svg)](https://pypi.org/project/BasicReturns/)
[![PyPI - Python Version](https://img.shields.io/pypi/pyversions/BasicReturns?labelColor=black&color=orange)](https://pypi.org/project/BasicReturns/)
[![PyPI - License](https://img.shields.io/pypi/l/BasicReturns?logoColor=orange&labelColor=black&color=orange)
](https://opensource.org/licenses/MIT)
[![PyPI Downloads](https://static.pepy.tech/personalized-badge/BasicReturns?period=total&units=NONE&left_color=BLACK&right_color=ORANGE&left_text=downloads)](https://pepy.tech/projects/BasicReturns)

**Standardizes function return values across Python applications to enhance code consistency, readability, and maintainability.**

## 📦 Installation

```bash
pip install BasicReturns
```

## 🚀 Quick Start

```python
from BasicReturns import BasicReturn, DataAndMsgReturn

def divide_numbers(a: float, b: float) -> DataAndMsgReturn:
"""Safely divide two numbers with unified return structure."""
response = DataAndMsgReturn()

try:
if b == 0:
raise ZeroDivisionError("Cannot divide by zero")
response.data = a / b
response.msg = "Division completed successfully"
except Exception as e:
response.ok = False
response.error = e
response.msg = "Division failed"

return response

# Usage example
result = divide_numbers(10, 2)

if result.ok:
print(f"{result.msg}: {result.data}") # Division completed successfully: 5.0
else:
print(f"{result.msg}: {result.error}") # Division failed: Cannot divide by zero
```

## 🛠️ Practical Examples

### File Operations Utility

Here's how to implement a file utility class using unified returns:

```python
from io import TextIOWrapper
from pathlib import Path
import json
from typing import Any
from BasicReturns import BaseReturn, DataAndMsgReturn

class FilesUtils:
@staticmethod
def file_exists(filename: str) -> bool:
return Path(filename).is_file()

@staticmethod
def read_file(filename: str) -> DataAndMsgReturn:
"""Read file content with unified return structure."""
response = DataAndMsgReturn()

try:
if not FilesUtils.file_exists(filename):
response.ok = False
response.error = FileNotFoundError(f"File '{filename}' not found")
response.msg = "File does not exist"
return response

with open(filename, 'r', encoding='utf-8') as file:
response.data = file.read()
response.msg = f"Successfully read file: {filename}"
except Exception as e:
response.ok = False
response.error = e
response.msg = f"Error reading file: {filename}"

return response

@staticmethod
def read_json(filename: str) -> DataAndMsgReturn:
"""Read and parse JSON file with unified error handling."""
response = DataAndMsgReturn()
file_result = FilesUtils.read_file(filename)

if not file_result.ok:
# Propagate the error from read_file
response.ok = file_result.ok
response.error = file_result.error
response.msg = file_result.msg
return response

try:
response.data = json.loads(file_result.data)
response.msg = f"Successfully parsed JSON from: {filename}"
except json.JSONDecodeError as e:
response.ok = False
response.error = e
response.msg = f"Invalid JSON format in file: {filename}"

return response

@staticmethod
def write_json(filename: str, data: dict) -> BaseReturn:
"""Write dictionary to JSON file with atomic operation handling."""
response = BaseReturn()

try:
with open(filename, 'w', encoding='utf-8') as file:
json.dump(data, file, indent=2, sort_keys=True, ensure_ascii=False)
response.msg = f"Successfully wrote JSON to: {filename}"
except Exception as e:
response.ok = False
response.error = e
response.msg = f"Failed to write JSON file: {filename}"

return response
```

### Usage in Application

```python
# Read configuration file
config_result = FilesUtils.read_json("config.json")

if config_result.ok:
config = config_result.data
print("Configuration loaded:", config)
else:
print("Error loading config:", config_result.error)
# Fallback to default configuration
config = {"default": "settings"}

# Save user data
user_data = {"name": "John Doe", "email": "john@example.com"}
save_result = FilesUtils.write_json("users/john.json", user_data)

if save_result.ok:
print("User data saved successfully")
else:
print("Failed to save user data:", save_result.error)
# Handle the error appropriately
```

## 🌟 Best Practices

### 1. Consistent Error Handling

```python
def process_data(data: Any) -> DataAndMsgReturn:
response = DataAndMsgReturn()

if not data:
response.ok = False
response.error = ValueError("Empty data provided")
response.msg = "Validation failed"
return response

# Process data...
response.data = processed_data
response.msg = "Data processed successfully"
return response
```

### 2. Chaining Operations

```python
def load_and_validate_config() -> DataAndMsgReturn:
config_result = FilesUtils.read_json("config.json")

if not config_result.ok:
return config_result # Return the error immediately

validation_result = validate_config(config_result.data)

if not validation_result.ok:
return DataAndMsgReturn(
ok=False,
error=validation_result.error,
msg=f"Configuration validation failed: {validation_result.msg}"
)

return DataAndMsgReturn(
data=config_result.data,
msg="Configuration loaded and validated successfully"
)
```

### 3. API Integration

```python
import requests
from BasicReturns import DataAndMsgReturn

def fetch_api_data(url: str) -> DataAndMsgReturn:
response = DataAndMsgReturn()

try:
api_response = requests.get(url, timeout=10)
api_response.raise_for_status()

response.data = api_response.json()
response.msg = f"Successfully fetched data from {url}"
except requests.exceptions.RequestException as e:
response.ok = False
response.error = e
response.msg = f"API request failed: {url}"

return response
```

## 📊 Benefits

✅ **Consistent Error Handling** - No more guessing return types or error formats
✅ **Improved Readability** - Clear success/failure states with contextual messages
✅ **Better Debugging** - Structured error information with stack traces when needed
✅ **Type Safety** - Full MyPy compatibility with proper type annotations
✅ **Seamless Integration** - Works with any Python framework or application
✅ **Serialization Ready** - Built-in `to_dict()` method for JSON/API responses

## 🤝 Contributing

Contributions are welcome! Please feel free to submit issues, feature requests, or pull requests.

1. Fork the repository
2. Create your feature branch (`git switch -c feature/amazing-feature`)
3. Commit your changes (`git commit -m 'Add some amazing feature'`)
4. Push to the branch (`git push origin feature/amazing-feature`)
5. Open a pull request

## 📄 License

Distributed under the MIT License. See `LICENSE` for more information.

---

**Made with ❤️ for Python developers who value clean, consistent code**