Bases: KiaraModel
An object describing requirements values should satisfy in order to be included in a query result.
Source code in /opt/hostedtoolcache/Python/3.10.12/x64/lib/python3.10/site-packages/kiara/models/values/matchers.py
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99 | class ValueMatcher(KiaraModel):
"""An object describing requirements values should satisfy in order to be included in a query result."""
@classmethod
def create_matcher(self, **match_options: Any):
m = ValueMatcher(**match_options)
return m
data_types: List[str] = Field(description="The data type.", default_factory=list)
allow_sub_types: bool = Field(description="Allow subtypes.", default=True)
min_size: int = Field(description="The minimum size for the dataset.", default=0)
max_size: Union[None, int] = Field(
description="The maximum size for the dataset.", default=None
)
allow_internal: bool = Field(
description="Allow internal data types.", default=False
)
has_alias: bool = Field(
description="Value must have at least one alias.", default=True
)
alias_matchers: Union[None, List[str]] = Field(
description="Values must have an alias that matches one of the provided matchers. Assumes 'has_alias' is set to 'True'.",
default=None,
)
@validator("alias_matchers")
def validate_matchers(cls, v):
if v is None:
return v
elif isinstance(v, str):
return [v]
else:
return list(v)
def is_match(self, value: Value, kiara: "Kiara") -> bool:
has_alias = self.has_alias or self.alias_matchers
if self.data_types:
match = False
if not self.allow_sub_types:
for data_type in self.data_types:
if data_type == value.data_type_name:
match = True
break
else:
if value.data_type_name not in kiara.type_registry.data_type_names:
return False
lineage = kiara.type_registry.get_type_lineage(value.data_type_name)
for data_type in self.data_types:
if data_type in lineage:
match = True
break
if not match:
return False
if self.min_size:
if value.value_size < self.min_size:
return False
if self.max_size:
if value.value_size > self.max_size:
return False
if not self.allow_internal:
if kiara.type_registry.is_internal_type(
data_type_name=value.data_type_name
):
return False
if has_alias:
aliases = kiara.alias_registry.find_aliases_for_value_id(
value_id=value.value_id
)
if not aliases:
return False
if self.alias_matchers:
for token in self.alias_matchers:
for alias in aliases:
if token in alias:
return True
return False
return True
|
Attributes
data_types: List[str] = Field(description='The data type.', default_factory=list)
instance-attribute
class-attribute
allow_sub_types: bool = Field(description='Allow subtypes.', default=True)
instance-attribute
class-attribute
min_size: int = Field(description='The minimum size for the dataset.', default=0)
instance-attribute
class-attribute
max_size: Union[None, int] = Field(description='The maximum size for the dataset.', default=None)
instance-attribute
class-attribute
allow_internal: bool = Field(description='Allow internal data types.', default=False)
instance-attribute
class-attribute
has_alias: bool = Field(description='Value must have at least one alias.', default=True)
instance-attribute
class-attribute
alias_matchers: Union[None, List[str]] = Field(description="Values must have an alias that matches one of the provided matchers. Assumes 'has_alias' is set to 'True'.", default=None)
instance-attribute
class-attribute
Functions
create_matcher(**match_options: Any)
classmethod
Source code in /opt/hostedtoolcache/Python/3.10.12/x64/lib/python3.10/site-packages/kiara/models/values/matchers.py
| @classmethod
def create_matcher(self, **match_options: Any):
m = ValueMatcher(**match_options)
return m
|
validate_matchers(v)
Source code in /opt/hostedtoolcache/Python/3.10.12/x64/lib/python3.10/site-packages/kiara/models/values/matchers.py
| @validator("alias_matchers")
def validate_matchers(cls, v):
if v is None:
return v
elif isinstance(v, str):
return [v]
else:
return list(v)
|
is_match(value: Value, kiara: Kiara) -> bool
Source code in /opt/hostedtoolcache/Python/3.10.12/x64/lib/python3.10/site-packages/kiara/models/values/matchers.py
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99 | def is_match(self, value: Value, kiara: "Kiara") -> bool:
has_alias = self.has_alias or self.alias_matchers
if self.data_types:
match = False
if not self.allow_sub_types:
for data_type in self.data_types:
if data_type == value.data_type_name:
match = True
break
else:
if value.data_type_name not in kiara.type_registry.data_type_names:
return False
lineage = kiara.type_registry.get_type_lineage(value.data_type_name)
for data_type in self.data_types:
if data_type in lineage:
match = True
break
if not match:
return False
if self.min_size:
if value.value_size < self.min_size:
return False
if self.max_size:
if value.value_size > self.max_size:
return False
if not self.allow_internal:
if kiara.type_registry.is_internal_type(
data_type_name=value.data_type_name
):
return False
if has_alias:
aliases = kiara.alias_registry.find_aliases_for_value_id(
value_id=value.value_id
)
if not aliases:
return False
if self.alias_matchers:
for token in self.alias_matchers:
for alias in aliases:
if token in alias:
return True
return False
return True
|