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ocr-parser's Issues

Flexibility in exporting parsed data

In the current version under development, the code has a fix data output to the CSV file. Ideally, the code would read the header of the CSV file to determine which data elements to parse.

Practical application would require standardized element names as part of an extensible controlled vocabulary.

File selection API

For Windows and Mac OSX
-- call the parse program using a range of input files based on the selection in Finder or Windows file manager

Incomplete metadata field

Complete partial metadata from the OCR file.

Data may be incomplete: 'January 12, 199"
no field separation: 'Page1', 'PageOne'

Refactor parsing program

A high priority is moving the parsing regex code to a library, where it can be extensible and not clog the main code.

Parse the OCR text file

Code to parse the text files output by the digitization workflow.

Currently identified fields include:
Volume
Issue
Date
Page Number

Create Python script to query user and build run environment

Some of our command line parameters can be loaded from shell environment variables using the 'os' library: os.environ["shell_variable"]
A small python script can query the user and create the shell variables - which will persist for the life of the terminal session

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