How can I check key only? about pykwalify HOT 5 CLOSED

@Grokzen Would you mind helping me with this issue? Thanks!

from pykwalify.

In YAML, an empty string as key value is set by using quotes. Without it, the value is null, so according to the YAML specification, the key is removed.

Name: Harvard
Description: University
URL: ''
Address: ''

Overall, however, it is more advisable to build your code so that missing keys can be handled, e.g.:

# Parsing and schema validation for the myyaml.yaml file
try:
    kwalify = Core(source_file='./myyaml.yml',
                   schema_files=['./schema.yml'],
                   strict_rule_validation=True,
                   file_encoding='utf-8')
    kwalify.validate(raise_exception=True)
except Exception:
    print('An error has occurred')

try:
    with open(file='./myyaml.yml', mode='r', encoding='utf-8', errors='strict') as file:
        # For security, safe_load recognizes only standard YAML tags and cannot construct an arbitrary Python
        # object
        self.__yaml = safe_load(file)
except Exception:
    print('An error has occurred')

# Check if the key exists
if 'Address' in self.__yaml:
    print(f'The value of the Address key is {self.__yaml['Address']}')
else:
    print('The Adress key is missing')

from pykwalify.

Thanks @lonkey! I may miss something out, but a quick question:
seems the second try and if-else can resolve my issues for checking the key existing? Why we need the first try block here? Thanks!

from pykwalify.

This is because pyKwalify's Core.__init__ method may raise a CoreError if:

• It cannot load a data or schema file due to an invalid path,
• It cannot load a data or schema file due to an invalid file format,
• Duplicate keys are present in a data file,
• Some further special cases.

Also a SchemaError is possible if the validation of a schema for a data file fails (see raise_exception=True).

from pykwalify.

Make sense! Thanks!

from pykwalify.