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Description:

dataprocessinglibrary 0.1.1

DataProcessingLibrary
Python port for Skivsoft.Processor
Simple data processing library.
The key features are:

Easy idea for running tasks step-by-step
Synchronous and asynchronous way for executing steps
Support SOLID

Example of usage
from uuid import uuid4
from data_processing_library.processor import AbstractProcessor, Context
from data_processing_library.group import ProcessorGroup

class HelloContext(Context):
def __init__(self):
self.name = None

def set_name(self, name: str) -> None:
self.name = name

def get_name(self) -> str:
return self.name

class InputName(AbstractProcessor):
def execute(self, context: HelloContext):
context.set_name(uuid4().hex)

class OutputGreeting(AbstractProcessor):
def execute(self, context: HelloContext):
print(f'Hello, {context.get_name()}!')

def run_processor():
hello_context = HelloContext()
steps = [
InputName(),
OutputGreeting(),
]
processor = ProcessorGroup(steps)
processor.execute(hello_context)

if __name__ == '__main__':
run_processor()