There's more...

The timestamp can also be translated into a delorean object for consistency. Also, delorean objects carry over timezone information. Adding the same structure as in the previous recipe gives the following object, which is capable of parsing logs:

class PriceLog(object):
  def __init__(self, timestamp, product_id, price):
    self.timestamp = timestamp
    self.product_id = product_id
    self.price = price
  def __repr__(self):
    return '<PriceLog ({}, {}, {})>'.format(self.timestamp,
                                            self.product_id,
                                            self.price)
  @classmethod
  def parse(cls, text_log):
    '''
    Parse from a text log with the format
    [<Timestamp>] - SALE - PRODUCT: <product id> - PRICE: $<price>
    to a PriceLog object
    '''
    def price(string):
      return Decimal(string)
    def isodate(string):
      return delorean.parse(string)
    FORMAT = ('[{timestamp:isodate}] - SALE - PRODUCT: {product:d} - '
              'PRICE: ${price:price}')
    formats = {'price': price, 'isodate': isodate}
    result = parse.parse(FORMAT, text_log, formats)
    return cls(timestamp=result['timestamp'],
               product_id=result['product'],
               price=result['price'])

So, parsing it returns similar results:

>>> log = '[2018-05-06T14:58:59.051545] - SALE - PRODUCT: 827 - PRICE: $22.25'
>>> PriceLog.parse(log)
<PriceLog (Delorean(datetime=datetime.datetime(2018, 6, 5, 14, 58, 59, 51545), timezone='UTC'), 827, 22.25)>

This code is contained in the GitHub file Chapter01/price_log.py.

All parse supported types can be found in the documentation at https://github.com/r1chardj0n3s/parse#format-specification.