A PyQT GUI application for converting InfoLease report outputs into Excel files. Handles parsing and summarizing. Learns where files are meant to be store and compiles monthly and yearly summaries.
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InfoLeaseExtract/venv/Lib/site-packages/openpyxl/utils/inference.py

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# Copyright (c) 2010-2022 openpyxl
"""
Type inference functions
"""
import datetime
import re
from openpyxl.styles import numbers
PERCENT_REGEX = re.compile(r'^(?P<number>\-?[0-9]*\.?[0-9]*\s?)\%$')
TIME_REGEX = re.compile(r"""
^(?: # HH:MM and HH:MM:SS
(?P<hour>[0-1]{0,1}[0-9]{2}):
(?P<minute>[0-5][0-9]):?
(?P<second>[0-5][0-9])?$)
|
^(?: # MM:SS.
([0-5][0-9]):
([0-5][0-9])?\.
(?P<microsecond>\d{1,6}))
""", re.VERBOSE)
NUMBER_REGEX = re.compile(r'^-?([\d]|[\d]+\.[\d]*|\.[\d]+|[1-9][\d]+\.?[\d]*)((E|e)[-+]?[\d]+)?$')
def cast_numeric(value):
"""Explicity convert a string to a numeric value"""
if NUMBER_REGEX.match(value):
try:
return int(value)
except ValueError:
return float(value)
def cast_percentage(value):
"""Explicitly convert a string to numeric value and format as a
percentage"""
match = PERCENT_REGEX.match(value)
if match:
return float(match.group('number')) / 100
def cast_time(value):
"""Explicitly convert a string to a number and format as datetime or
time"""
match = TIME_REGEX.match(value)
if match:
if match.group("microsecond") is not None:
value = value[:12]
pattern = "%M:%S.%f"
#fmt = numbers.FORMAT_DATE_TIME5
elif match.group('second') is None:
#fmt = numbers.FORMAT_DATE_TIME3
pattern = "%H:%M"
else:
pattern = "%H:%M:%S"
#fmt = numbers.FORMAT_DATE_TIME6
value = datetime.datetime.strptime(value, pattern)
return value.time()