def standardize_chase_record(row: Dict, line: int) -> Dict:

    """Turn an Chase CSV row into a standard dict format representing a transaction."""

    return {

        'date': datetime.datetime.strptime(row['Date'], '%m/%d/%y').date(),

        'amount': -1 * parse_amount(row['Amount']),

        # Descriptions have quite a lot of information, but the format is a little

        # idiosyncratic. We'll need to see more examples before coming up with any ways

        # to handle it in code. Others have used regular expressions to match the

        # various transaction types:

        # https://github.com/mtlynch/beancount-chase-bank/blob/master/beancount_chase/checking.py

        # See also: https://awesome-beancount.com/

        'check_id': '',

        'line': line,

    }

def read_chase_csv(f: TextIO) -> list:

    reader = csv.DictReader(f)

    # The reader.line_num is the source line number, not the spreadsheet row

    # number due to multi-line records.

    return sort_records(

        [standardize_chase_record(row, i) for i, row in enumerate(reader, 2)]

    )

[metadata]

name = conservancy_beancount

author = Software Freedom Conservancy

author_email = info@sfconservancy.org

description = Plugin, library, and reports for reading Conservancy’s books

license = AGPLv3-or-later WITH Beancount-Plugin-Additional-Permission-1.0

license_files =

  LICENSE.txt

  AGPLv3.txt

long_description = file: README.rst

long_description_content_type = text/x-rst; charset=UTF-8

project_urls =

  Source = %(url)s

url = https://k.sfconservancy.org/NPO-Accounting/conservancy_beancount