66 lines
2.0 KiB
Python
66 lines
2.0 KiB
Python
from banking_breakdown import ui, regex_categorizer, statement_parser, \
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document_builder
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import argparse
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def categorize_func(args):
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import pandas as pd
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df = pd.read_csv(args.i, delimiter=args.d)
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if args.f is not None:
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df = regex_categorizer.assign_categories(df, args.f)
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import signal
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signal.signal(signal.SIGINT, signal.SIG_DFL)
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ui.show_main_window(df=df)
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def report_func(args):
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report_data = statement_parser.parse_statement(args.i)
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document_builder.build_document(args.o, report_data)
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#
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# Define CLI
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#
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def main():
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parser = argparse.ArgumentParser(prog='banking_breakdown',
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description='Visualize bank statements')
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subparsers = parser.add_subparsers()
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categorize_parser = subparsers.add_parser("categorize")
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categorize_parser.set_defaults(func=categorize_func)
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categorize_parser.add_argument('-i', required=True,
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help="Bank statement CSV")
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categorize_parser.add_argument('-f', required=False,
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help="JSON file containing regexes to"
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" pre-categorize statement entries")
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categorize_parser.add_argument('-d', required=False,
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help="Delimiter to use when reading the"
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" bank statement", default=',')
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report_parser = subparsers.add_parser("report")
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report_parser.set_defaults(func=report_func)
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report_parser.add_argument('-i', required=True,
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help="CSV file containing bank statement data (output file of categorization step)")
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report_parser.add_argument('-o', required=False,
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help="Output directory ('build' by default)",
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default='build')
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args = parser.parse_args()
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if hasattr(args, 'func'):
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args.func(args)
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else:
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parser.print_help()
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if __name__ == "__main__":
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main()
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