An abstraction of data source for extraction applications usage
Project description
sour-cereal
About
An abstraction of connections to real data sources for extraction applications usage.
It implements simple methods for extraction preparation, monitoring, execution and cleaning into a class, meant to be inherited.
The goal of this project consists in creating a standardized API for communicating with data sources in applications written in Python.
Installing
You can simply install it using pip as follows:
$ pip install sour-cereal
Usage
from sour_cereal import SourceConnection
class FooDataSource(SourceConnection):
def get_status_of_extraction(self: 'FooDataSource', *args, **kwargs):
return datetime.now()
def check_availability_of_extraction(self: 'FooDataSource', status: datetime):
return status.hour >= 7 # data is ready only after 7pm
def execute_extraction(self: 'FooDataSource', *args, **kwargs):
# Extract some data
return ['file1', 'file2']
For more examples, please check the files inside the sour_cereal/examples
folder.
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