2.2. Parse helpers

2.2.1. Date parsing

The first parameter of BaseBuilder.addMeal() specify the date. It should be a datetime.date. LazyBuilder.addMeal() supports also str as type: pyopenmensa tries to extract a date from it with extractDate(). Around the date itself can be garbage strings. The following date formats are recognized as 6th March 2013:

  • 2013-03-06, 2013-03-6, 2013-3-06, 2013-3-6
  • 13-03-06, 13-03-6, 13-3-06, 13-3-6
  • 06.03.2013, 6.03.2013, 06.3.2013, 6.3.2013
  • 06.03.13, 6.03.13, 06.3.13, 6.3.13
  • 06. März 2013, 6. März 2013
  • 06. Maerz 2013, 6. Maerz 2013
  • 06. März 13, 6. März 13
  • 06. Maerz 13, 6. Maerz 13

The white spaces and the dots in the last four formats are optional.

2.2.2. Prices

OpenMensa and pyopenmensa support also meal prices. The price can be specified for different roles. See the Documentation about OpenMensa Feed V2 for all supported roles.

Internally pyopenmensa counts in cents (integers). But strings and floats can be converted with buildPrices(). The following numbers are recognized as 3 Euro and 9 Cents:

  • “3.09 €”
  • “3,09 €”
  • “3.09€”
  • “3,09€”
  • “3.09”
  • “3,09”

Also these ways:

  • a dictionary with a role to prices mapping:

    buildPrices({'student': '3.64 €', 'employee': 3.84, 'others': 414})

  • a iterator about prices and a iterator about roles:

    buildPrices(['3.64€', 3.84, 414], ('student', 'employee', 'role'))

  • base prices and additional costs for other roles:

    buildPrices(3.64, default='student', addtional={'employee': '0.20€', 'others': 50})

will create:

{'student': 364, 'employee': 384, 'others': 414}

The fifth and sixth parameter of LazyBuilder.addMeal() are passed to buildPrices() - so there is normally no need to call it directly.

2.2.3. Legend helpers and notes

For every meal a feed can specify a list of additional notes. These notes are passed to addMeal as fourth parameter. The name contains in many cases food additive information (e.g. with number in brackets).

The LazyBuilder class helps with the extraction and converting of these data:

  1. Use LazyBuilder.setLegendData() to define the food additive to identifier (like numbers) mapping. It uses buildLegend() to create the legend.

    You can pass a dictionary as parameter or a text as first.

    Additionaly also a text with a regex is accepted. The regex is used to extract this mapping from the given text. Therefore the regex needs to have two named groups name and value. Per default the regex extracts a number with a following bracket until the next number with a bracket.

  2. Pass the name with food additives and other optional notes to LazyBuilder.addMeal(). All numbers and letters in brackets will be removed from the name and the name in the legend data is added to the notes list.

Example:

canteen.setLegendData('1) Schwein a)Farbstoff')
canteen.addMeal('2013-05-02', 'Hauptgerichte', 'Gulasch(1,a)', ['Mit Süßspeise'])
# is equal to
canteen.addMeal('2013-05-02', 'Hauptgerichte', 'Gulasch', ['Mit Süßspeise', 'Schwein', 'Farbstoff'])