Key Features

⚡ Asynchronous I/O. FreshPointSync uses asyncio and aiohttp for efficient web requests, optimal performance, and responsiveness.

🥄 Robust HTML Scraping. FreshPointSync utilizes beautifulsoup4 for comprehensive product information extraction from the webpage HTML content.

📊 Advanced Data Modeling and Analysis. FreshPointSync employs pydantic for modeling, analyzing, and serializing extracted data.

🔔 Event-Driven Handlers. FreshPointSync implements the observer pattern to register handlers for specific events, such as product availability changes.

🔍 Detailed Logging and Error Handling. FreshPointSync ensures reliability and ease of debugging with logging and safe runners to handle unexpected exceptions.

🛠️ Clean and Readable Code. FreshPointSync adheres to PEP 8 standards and utilizes type hints, ensuring the code is clear, concise, and easy to work with.

📜 Comprehensive Documentation. FreshPointSync offers extensive in-code documentation as well as an official user guide and tutorials hosted on the Read the Docs platform.

Installation

FreshPointSync supports Python 3.8 and higher. Official library releases can be found on 📦 PyPI. To install the latest stable version of FreshPointSync, use the following CLI command:

$ pip install freshpointsync

To install the latest development version directly from the project’s 📁 GitHub repository, use the following CLI command:

$ pip install git+https://github.com/mykhakos/FreshPointSync

You can also install optional development dependencies using the following CLI commands:

• For building documentation:

$ pip install freshpointsync[docs]

• For running tests:

$ pip install freshpointsync[tests]

• For linting the code:

$ pip install freshpointsync[lint]

• For building the package:

$ pip install freshpointsync[build]

• For all development dependencies (combines all the above options):

$ pip install freshpointsync[dev]

Minimal Example

The following example demonstrates how to fetch data from a FreshPoint webpage based on its specific location ID and print the location name, overall product count, and the number of available products. The extracted data is then dumped to a JSON file.

import asyncio
from freshpointsync import ProductPage

LOCATION_ID = 296  # from https://my.freshpoint.cz/device/product-list/296
CACHE_FILENAME = f'pageData_{LOCATION_ID}.json'

async def main() -> None:
    async with ProductPage(location_id=LOCATION_ID) as page:
        await page.update()

        products_available = [
            p for p in page.data.products.values() if p.is_available
        ]
        print(
            f'Location name: {page.data.location}\n'
            f'Product count: {len(page.data.products)} '
            f'({len(products_available)} in stock)'
        )

    page_data = page.data.model_dump_json(indent=4, by_alias=True)
    with open(CACHE_FILENAME, 'w', encoding='utf-8') as file:
        file.write(page_data)

if __name__ == '__main__':
    asyncio.run(main())

Reporting Issues and Contributing

FreshPointSync is an open-source project in its early development stages. If you encounter any issues or have suggestions for improvements, please report them on the GitHub Issue tracker.

Contributions to FreshPointSync are also welcome! If you would like to contribute, please fork the repository, implement your changes, and open a Pull Request with a detailed description of your work on the GitHub Pull Request page.

License

FreshPointSync is distributed under the MIT License.