Welcome to easydata’s documentation!¶
EasyData is in early stages of development; backwards incompatible changes are possible without deprecation warnings until beta status is reached and therefore is not suitable to be used in production.
What is EasyData¶
EasyData is data object pattern that provides transformation of item data
from various sources (text, html, xml, json, dictionaries, lists and others) to a
python dictionary with option to even combine different types of sources in order
to transform to dictionary.
It uses component based mapping at the hearth and it’s concept is similar to ORM-like models.
The benefits of using EasyData are:
focusing on the object-oriented business logic
uniform extraction logic between various sources
speeds up development process of creating a transformer/parser significantly
time reduction regarding maintenance since it offers clear readability and clarity regarding what each components does.
extraction and parsing logic re-usability
high and low level option for parsing so that we don’t hit any limitations
option to create custom components for specific needs if needed
defaults can be changed through configuration on various levels
creating test cases is a breeze since each component was created to be used independently if needed.
EasyData is not tied to any framework, nor it’s a framework and it can be easily added to existing projects.
Web scraping. It can easily be integrated with scrapy or any other python based solution or even your own.
Transforming API and FEED data from various formats.
Transforming/preparing data for API or FEED
Transforming/preparing data for a database.
It does not:
perform database operation.*
make validation of item dictionary.*
read feed files or process multiple items at the same time since it’s architecture is designed to process each row/item at the time.*
How to read documentation?¶
Documentation is divided into chapters which are marked with numbers and is best to follow it in that order, if you are familiarizing with the package for the first time.
Yes please! We are always looking for contributions, additions and improvements.
The source is available on GitHub and contributions are always encouraged. Contributions can be as simple as minor tweaks to this documentation or the core.