This library parses opening hours from various human-readable strings such as "Mon- Fri 9:00am - 5:30pm" into a more standard JSON format that can be processed more easily.
opening_hours = [
{
"day": "monday",
"opens": "9:00",
"closes": "17:00"
},
//..
]pip install parse-opening-hours
The simplest example is just printing the JSON for an opening hours string:
from opening_hours import OpeningHours
print(OpeningHours.parse("Mon- Fri 9:00am - 5:30pm").json())This should give you the below output:
[
{'day': 'monday', 'opens': '9:00', 'closes': '17:30'},
{'day': 'tuesday', 'opens': '9:00', 'closes': '17:30'},
{'day': 'wednesday', 'opens': '9:00', 'closes': '17:30'},
{'day': 'thursday', 'opens': '9:00', 'closes': '17:30'},
{'day': 'friday', 'opens': '9:00', 'closes': '17:30'}
]
This has been tested using Python 3.8.5
In addition to this README, there is some documentation generated from inline documentation comments. This is available at https://moralcode.github.io/parse-opening-hours/
Setting the environment variable OH_DEBUG to a value of Y will set the root logging level to debug and will cause log entries to appear in stdout for debugging purposes
When specifying a time without AM or PM indicators, you may get an error that reads TypeError: Cannot convert a time of unknown type (AM, PM or 24H) without assuming its type.. To resolve this, pass assume_type=TimeType.AM when calling the parse() function. This will use AM in place of an unknown AM or PM designation. In cases like the string "9-5", if the second value in the range (in this case the 5 is smaller than the first (i.e. the 9) then it will be converted to PM automatically
run pytet and generate coverage database pipenv run pytest --cov=./
show coverage report: pipenv run coverage report