mex.sumo.models package

Submodules

mex.sumo.models.base module

class mex.sumo.models.base.SumoBaseModel

Bases: BaseModel

Model class for data model NoKeda.

model_computed_fields: ClassVar[dict[str, ComputedFieldInfo]] = {}

A dictionary of computed field names and their corresponding ComputedFieldInfo objects.

model_config: ClassVar[ConfigDict] = {'coerce_numbers_to_str': True, 'extra': 'ignore', 'populate_by_name': True, 'str_max_length': 100000, 'str_min_length': 1, 'str_strip_whitespace': True, 'use_enum_values': True, 'validate_assignment': True, 'validate_default': True}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

model_fields: ClassVar[dict[str, FieldInfo]] = {}

Metadata about the fields defined on the model, mapping of field names to [FieldInfo][pydantic.fields.FieldInfo].

This replaces Model.__fields__ from Pydantic V1.

mex.sumo.models.cc1_data_model_nokeda module

class mex.sumo.models.cc1_data_model_nokeda.Cc1DataModelNoKeda(*, domain: str, domain_en: str, type_json: str, element_description: str, element_description_en: str, variable_name: str, element_label: str, element_label_en: str)

Bases: SumoBaseModel

Model class for data model NoKeda.

domain: str
domain_en: str
element_description: str
element_description_en: str
element_label: str
element_label_en: str
model_computed_fields: ClassVar[dict[str, ComputedFieldInfo]] = {}

A dictionary of computed field names and their corresponding ComputedFieldInfo objects.

model_config: ClassVar[ConfigDict] = {'coerce_numbers_to_str': True, 'extra': 'ignore', 'populate_by_name': True, 'str_max_length': 100000, 'str_min_length': 1, 'str_strip_whitespace': True, 'use_enum_values': True, 'validate_assignment': True, 'validate_default': True}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

model_fields: ClassVar[dict[str, FieldInfo]] = {'domain': FieldInfo(annotation=str, required=True), 'domain_en': FieldInfo(annotation=str, required=True), 'element_description': FieldInfo(annotation=str, required=True), 'element_description_en': FieldInfo(annotation=str, required=True), 'element_label': FieldInfo(annotation=str, required=True), 'element_label_en': FieldInfo(annotation=str, required=True), 'type_json': FieldInfo(annotation=str, required=True), 'variable_name': FieldInfo(annotation=str, required=True)}

Metadata about the fields defined on the model, mapping of field names to [FieldInfo][pydantic.fields.FieldInfo].

This replaces Model.__fields__ from Pydantic V1.

type_json: str
variable_name: str

mex.sumo.models.cc1_data_valuesets module

class mex.sumo.models.cc1_data_valuesets.Cc1DataValuesets(*, category_label_de: str, sheet_name: str)

Bases: SumoBaseModel

Model class for data valuesets.

category_label_de: str
model_computed_fields: ClassVar[dict[str, ComputedFieldInfo]] = {}

A dictionary of computed field names and their corresponding ComputedFieldInfo objects.

model_config: ClassVar[ConfigDict] = {'coerce_numbers_to_str': True, 'extra': 'ignore', 'populate_by_name': True, 'str_max_length': 100000, 'str_min_length': 1, 'str_strip_whitespace': True, 'use_enum_values': True, 'validate_assignment': True, 'validate_default': True}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

model_fields: ClassVar[dict[str, FieldInfo]] = {'category_label_de': FieldInfo(annotation=str, required=True), 'sheet_name': FieldInfo(annotation=str, required=True)}

Metadata about the fields defined on the model, mapping of field names to [FieldInfo][pydantic.fields.FieldInfo].

This replaces Model.__fields__ from Pydantic V1.

sheet_name: str

mex.sumo.models.cc2_aux_mapping module

class mex.sumo.models.cc2_aux_mapping.Cc2AuxMapping(*, sheet_name: str, variable_name_column: list[str])

Bases: SumoBaseModel

Model class for aux_mapping.

model_computed_fields: ClassVar[dict[str, ComputedFieldInfo]] = {}

A dictionary of computed field names and their corresponding ComputedFieldInfo objects.

model_config: ClassVar[ConfigDict] = {'coerce_numbers_to_str': True, 'extra': 'ignore', 'populate_by_name': True, 'str_max_length': 100000, 'str_min_length': 1, 'str_strip_whitespace': True, 'use_enum_values': True, 'validate_assignment': True, 'validate_default': True}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

model_fields: ClassVar[dict[str, FieldInfo]] = {'sheet_name': FieldInfo(annotation=str, required=True), 'variable_name_column': FieldInfo(annotation=list[str], required=True)}

Metadata about the fields defined on the model, mapping of field names to [FieldInfo][pydantic.fields.FieldInfo].

This replaces Model.__fields__ from Pydantic V1.

sheet_name: str
variable_name_column: list[str]

mex.sumo.models.cc2_aux_model module

class mex.sumo.models.cc2_aux_model.Cc2AuxModel(*, domain: str, element_description: str, in_database_static: bool, variable_name: str, depends_on_nokeda_variable: str)

Bases: SumoBaseModel

Model class for aux model.

depends_on_nokeda_variable: str
domain: str
element_description: str
in_database_static: bool
model_computed_fields: ClassVar[dict[str, ComputedFieldInfo]] = {}

A dictionary of computed field names and their corresponding ComputedFieldInfo objects.

model_config: ClassVar[ConfigDict] = {'coerce_numbers_to_str': True, 'extra': 'ignore', 'populate_by_name': True, 'str_max_length': 100000, 'str_min_length': 1, 'str_strip_whitespace': True, 'use_enum_values': True, 'validate_assignment': True, 'validate_default': True}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

model_fields: ClassVar[dict[str, FieldInfo]] = {'depends_on_nokeda_variable': FieldInfo(annotation=str, required=True), 'domain': FieldInfo(annotation=str, required=True), 'element_description': FieldInfo(annotation=str, required=True), 'in_database_static': FieldInfo(annotation=bool, required=True), 'variable_name': FieldInfo(annotation=str, required=True)}

Metadata about the fields defined on the model, mapping of field names to [FieldInfo][pydantic.fields.FieldInfo].

This replaces Model.__fields__ from Pydantic V1.

variable_name: str

mex.sumo.models.cc2_aux_valuesets module

class mex.sumo.models.cc2_aux_valuesets.Cc2AuxValuesets(*, label_de: str, label_en: str)

Bases: SumoBaseModel

Model class for aux valuesets.

label_de: str
label_en: str
model_computed_fields: ClassVar[dict[str, ComputedFieldInfo]] = {}

A dictionary of computed field names and their corresponding ComputedFieldInfo objects.

model_config: ClassVar[ConfigDict] = {'coerce_numbers_to_str': True, 'extra': 'ignore', 'populate_by_name': True, 'str_max_length': 100000, 'str_min_length': 1, 'str_strip_whitespace': True, 'use_enum_values': True, 'validate_assignment': True, 'validate_default': True}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

model_fields: ClassVar[dict[str, FieldInfo]] = {'label_de': FieldInfo(annotation=str, required=True), 'label_en': FieldInfo(annotation=str, required=True)}

Metadata about the fields defined on the model, mapping of field names to [FieldInfo][pydantic.fields.FieldInfo].

This replaces Model.__fields__ from Pydantic V1.

mex.sumo.models.cc2_feat_projection module

class mex.sumo.models.cc2_feat_projection.Cc2FeatProjection(*, feature_abbr: str, feature_description: str, feature_domain: str, feature_name_en: str, feature_name_de: str, feature_subdomain: str)

Bases: SumoBaseModel

Model class for feat projection.

feature_abbr: str
feature_description: str
feature_domain: str
feature_name_de: str
feature_name_en: str
feature_subdomain: str
model_computed_fields: ClassVar[dict[str, ComputedFieldInfo]] = {}

A dictionary of computed field names and their corresponding ComputedFieldInfo objects.

model_config: ClassVar[ConfigDict] = {'coerce_numbers_to_str': True, 'extra': 'ignore', 'populate_by_name': True, 'str_max_length': 100000, 'str_min_length': 1, 'str_strip_whitespace': True, 'use_enum_values': True, 'validate_assignment': True, 'validate_default': True}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

model_fields: ClassVar[dict[str, FieldInfo]] = {'feature_abbr': FieldInfo(annotation=str, required=True), 'feature_description': FieldInfo(annotation=str, required=True), 'feature_domain': FieldInfo(annotation=str, required=True), 'feature_name_de': FieldInfo(annotation=str, required=True), 'feature_name_en': FieldInfo(annotation=str, required=True), 'feature_subdomain': FieldInfo(annotation=str, required=True)}

Metadata about the fields defined on the model, mapping of field names to [FieldInfo][pydantic.fields.FieldInfo].

This replaces Model.__fields__ from Pydantic V1.

Module contents