pyDataBridge 0.0.1

A data synchronization framework for python

pyDataBridge

pyDataBridge is an advanced data synchronization framework that leverages both the adapter pattern and the strategy pattern, complemented by the command pattern, to facilitate seamless interaction with diverse data sources while providing robust synchronization capabilities.

Key Features

• Adapter Pattern Integration: pyDataBridge employs the adapter pattern to abstract the intricacies of interfacing with different data sources. Each adapter encapsulates the logic necessary to communicate with specific types of data repositories, including databases, APIs, file systems, and cloud storage platforms. This abstraction enables the framework to interact with various data sources using a unified interface, promoting flexibility and reusability.
• Strategy Pattern for Synchronization Strategies: The framework utilizes the strategy pattern to define different synchronization strategies tailored to specific use cases and requirements. Users can choose from a range of strategies, such as full synchronization, incremental synchronization, bidirectional synchronization, or custom synchronization logic. By decoupling the synchronization algorithms from the core framework, pyDataBridge accommodates diverse synchronization needs and fosters maintainability.
• Command Pattern for Synchronization Operations: pyDataBridge implements the command pattern to encapsulate synchronization operations as command objects. Each synchronization command represents a discrete unit of work, such as fetching data from a source, transforming data, applying synchronization rules, and updating the target data repository. By encapsulating these operations as commands, the framework offers flexibility in executing and managing synchronization tasks, facilitating undo-redo functionality, transaction management, and asynchronous processing.
• Data Source Agnosticism: pyDataBridge is designed to be agnostic to the underlying data sources, allowing seamless synchronization across heterogeneous environments. Whether dealing with relational databases, NoSQL databases, RESTful APIs, or file systems, the framework adapts to different data source configurations through its adaptable adapters and flexible synchronization strategies.
• Extensibility and Customization: The framework prioritizes extensibility, enabling developers to extend its functionality by implementing custom adapters, synchronization strategies, and synchronization commands. This extensibility empowers users to tailor pyDataBridge to their specific requirements, integrate with proprietary systems, and incorporate domain-specific business logic seamlessly.
• Error Handling and Logging: pyDataBridge includes robust error handling mechanisms and comprehensive logging capabilities to ensure reliability and traceability during synchronization operations. Detailed error messages, exception handling, and configurable logging levels provide insights into synchronization processes, facilitating troubleshooting and auditing.
• Scalability and Performance Optimization: With a scalable architecture and optimized synchronization algorithms, pyDataBridge delivers high-performance synchronization capabilities, even when dealing with large datasets and high concurrency scenarios.

pyDataBridge offers a comprehensive solution for data synchronization, harnessing the power of the adapter pattern, strategy pattern, and command pattern to provide a flexible, extensible, and efficient framework for synchronizing data across heterogeneous systems.

Installation

pip install pyDataBridge

Documentation [WIP]

If you are interested on how to use this project, feel free to contact me.

~TODO

Basic steps

1. Create a model: Define the data structure with common properties between two or more systems. (Extends DataAccessModel)
2. Create the adapters: For each system you will need the respective adapter that loads the information and returns data using the model before. (Extends DataAccessAdapter)
3. Create the strategy: Now you just need to implement the strategy you prefer to synchronize the data. (Extends SyncStrategy)