def validate_default_value(cls, v, values):
"""Validate default value against spec if provided."""
try:
type_ = values['type']
except KeyError:
raise ValueError(f'Input with missing type: {cls.__name__}')
if type_ != cls.__name__:
# this is a check to ensure the default value only gets validated againt the
# correct class type. The reason we need to do this is that Pydantic doesn't
# support discriminators (https://github.com/samuelcolvin/pydantic/issues/619).
# As a result in case of checking for Union it checks every possible item
# from the start until it finds one. For inputs it causes this check to fail
# on a string before it gets to the integer class for an integer input.
return v
try:
default = values['default']
except KeyError:
# spec is not set
return v
if v is not None and default is not None:
json_schema_validator(default, v)
return v
def validate_spec(self, value):
"""Validate an input value against specification.
Use this for validating workflow inputs against a recipe.
"""
if self.spec:
spec = dict(self.spec)
json_schema_validator(value, spec)
return value
def validate_spec(self, value):
"""Validate an input value against specification.
Use this for validating workflow inputs against a recipe.
"""
if self.spec:
spec = dict(self.spec)
spec['type'] = 'array'
spec['items'] = self.items_type.lower()
json_schema_validator(value, spec)
def validate_spec(self, value):
"""Validate an input value against specification.
Use this for validating workflow inputs against a recipe.
"""
assert os.path.isdir(value), f'There is no folder at {value}'
if self.spec:
spec = dict(self.spec)
spec['type'] = 'string'
json_schema_validator(value, spec)
return value
def validate_spec(self, value):
"""Validate an input value against specification.
Use this for validating workflow inputs against a recipe.
"""
assert os.path.isfile(value), f'There is no file at {value}'
if self.extensions:
assert value.lower().endswith(self.extension.lower()), \
f'Input file extension for {value} must be {self.extensions}'
if self.spec:
spec = dict(self.spec)
spec['type'] = 'string'
json_schema_validator(value, spec)
def validate_spec(self, value):
"""Validate an input value against specification.
Use this for validating workflow inputs against a recipe.
"""
if os.path.isfile(value):
if self.extensions:
assert value.lower().endswith(self.extension.lower()), \
f'Input file extension for {value} must be {self.extensions}'
elif not os.path.isdir(value):
raise ValueError(f'{value} is not a valid file or folder.')
if self.spec:
spec = dict(self.spec)
spec['type'] = 'string'
json_schema_validator(value, spec)
