stevenpy

stevenpy is a powerful Python library for Parallel pooling document processing (Currently only PDF)

Installation

Use the package manager pip to install foobar.

pip install stevenpy

Usage

import stevenpy

"""
IMPORTANT: if: if __name__== '__main__': is not used, the code will not work!!!
multiprocessing will not be able to function properly without it.
"""
if __name__ == '__main__':

# first create a task which is done for each document in your selected document folder
# in this example 'tags' such as AB-123-23 are found and reported to a summary file
    task1 = stevenpy.task(search_type='regex',
                    expression='^(\d{1,2}[ -]{,1}[A-Z]{1,3}[ -]{,1}\d{4}[A-Z]*).*$',
                    title='regex1',
                    label='tags')

# create a list of the task you want the searcher to perform
    tasks = [task1]

# create the searcher object and give it the tasks we just created
# the default 'dat_loc' = 'data', but this can be changed.
    searcher = stevenpy.searcher(tasks=tasks)

# then we run the searcher, this may take a while depending on the number of files to process
# (next versions should be able to check if some files are already processed)
    searcher.run()

# after all the files are processed a summary is made using the summary object
    summarizer = stevenpy.summarizer(searcher=searcher)
    summarizer.run()

Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

Please make sure to update tests as appropriate.

License

MIT