ITR.interfaces

Classes

`AggregationContribution`	!!! abstract "Usage Documentation"
`Aggregation`	!!! abstract "Usage Documentation"
`ScoreAggregation`	!!! abstract "Usage Documentation"
`ScoreAggregationScopes`	!!! abstract "Usage Documentation"
`ScoreAggregations`	!!! abstract "Usage Documentation"
`ScenarioInterface`	!!! abstract "Usage Documentation"
`PortfolioCompany`	!!! abstract "Usage Documentation"
`IDataProviderCompany`	!!! abstract "Usage Documentation"
`SortableEnum`	Create a collection of name/value pairs.
`EScope`	Create a collection of name/value pairs.
`ETimeFrames`	Create a collection of name/value pairs.
`ETargetReference`	Create a collection of name/value pairs.
`S3Category`	Create a collection of name/value pairs.
`IDataProviderTarget`	!!! abstract "Usage Documentation"

Module Contents

class ITR.interfaces.AggregationContribution(/, **data: Any)

Bases: pydantic.BaseModel

!!! abstract “Usage Documentation”: [Models](../concepts/models.md)

A base class for creating Pydantic models.

__class_vars__: The names of the class variables defined on the model.

__private_attributes__: Metadata about the private attributes of the model.

__signature__: The synthesized __init__ [Signature][inspect.Signature] of the model.

__pydantic_complete__: Whether model building is completed, or if there are still undefined fields.

__pydantic_core_schema__: The core schema of the model.

__pydantic_custom_init__: Whether the model has a custom __init__ function.

__pydantic_decorators__: Metadata containing the decorators defined on the model. This replaces Model.__validators__ and Model.__root_validators__ from Pydantic V1.

__pydantic_generic_metadata__: Metadata for generic models; contains data used for a similar purpose to __args__, __origin__, __parameters__ in typing-module generics. May eventually be replaced by these.

__pydantic_parent_namespace__: Parent namespace of the model, used for automatic rebuilding of models.

__pydantic_post_init__: The name of the post-init method for the model, if defined.

__pydantic_root_model__: Whether the model is a [RootModel][pydantic.root_model.RootModel].

__pydantic_serializer__: The pydantic-core SchemaSerializer used to dump instances of the model.

__pydantic_validator__: The pydantic-core SchemaValidator used to validate instances of the model.

__pydantic_fields__: A dictionary of field names and their corresponding [FieldInfo][pydantic.fields.FieldInfo] objects.

__pydantic_computed_fields__: A dictionary of computed field names and their corresponding [ComputedFieldInfo][pydantic.fields.ComputedFieldInfo] objects.

__pydantic_extra__: A dictionary containing extra values, if [extra][pydantic.config.ConfigDict.extra] is set to ‘allow’.

__pydantic_fields_set__: The names of fields explicitly set during instantiation.

__pydantic_private__: Values of private attributes set on the model instance.

company_name: str

company_id: str

temperature_score: float

contribution_relative: float | None

contribution: float | None

__getitem__(item)

class ITR.interfaces.Aggregation(/, **data: Any)

Bases: pydantic.BaseModel

!!! abstract “Usage Documentation”: [Models](../concepts/models.md)

A base class for creating Pydantic models.

__class_vars__: The names of the class variables defined on the model.

__private_attributes__: Metadata about the private attributes of the model.

__signature__: The synthesized __init__ [Signature][inspect.Signature] of the model.

__pydantic_complete__: Whether model building is completed, or if there are still undefined fields.

__pydantic_core_schema__: The core schema of the model.

__pydantic_custom_init__: Whether the model has a custom __init__ function.

__pydantic_decorators__: Metadata containing the decorators defined on the model. This replaces Model.__validators__ and Model.__root_validators__ from Pydantic V1.

__pydantic_generic_metadata__: Metadata for generic models; contains data used for a similar purpose to __args__, __origin__, __parameters__ in typing-module generics. May eventually be replaced by these.

__pydantic_parent_namespace__: Parent namespace of the model, used for automatic rebuilding of models.

__pydantic_post_init__: The name of the post-init method for the model, if defined.

__pydantic_root_model__: Whether the model is a [RootModel][pydantic.root_model.RootModel].

__pydantic_serializer__: The pydantic-core SchemaSerializer used to dump instances of the model.

__pydantic_validator__: The pydantic-core SchemaValidator used to validate instances of the model.

__pydantic_fields__: A dictionary of field names and their corresponding [FieldInfo][pydantic.fields.FieldInfo] objects.

__pydantic_computed_fields__: A dictionary of computed field names and their corresponding [ComputedFieldInfo][pydantic.fields.ComputedFieldInfo] objects.

__pydantic_extra__: A dictionary containing extra values, if [extra][pydantic.config.ConfigDict.extra] is set to ‘allow’.

__pydantic_fields_set__: The names of fields explicitly set during instantiation.

__pydantic_private__: Values of private attributes set on the model instance.

score: float

proportion: float

contributions: List[AggregationContribution]

__getitem__(item)

class ITR.interfaces.ScoreAggregation(/, **data: Any)

Bases: pydantic.BaseModel

!!! abstract “Usage Documentation”: [Models](../concepts/models.md)

A base class for creating Pydantic models.

__class_vars__: The names of the class variables defined on the model.

__private_attributes__: Metadata about the private attributes of the model.

__signature__: The synthesized __init__ [Signature][inspect.Signature] of the model.

__pydantic_complete__: Whether model building is completed, or if there are still undefined fields.

__pydantic_core_schema__: The core schema of the model.

__pydantic_custom_init__: Whether the model has a custom __init__ function.

__pydantic_decorators__: Metadata containing the decorators defined on the model. This replaces Model.__validators__ and Model.__root_validators__ from Pydantic V1.

__pydantic_generic_metadata__: Metadata for generic models; contains data used for a similar purpose to __args__, __origin__, __parameters__ in typing-module generics. May eventually be replaced by these.

__pydantic_parent_namespace__: Parent namespace of the model, used for automatic rebuilding of models.

__pydantic_post_init__: The name of the post-init method for the model, if defined.

__pydantic_root_model__: Whether the model is a [RootModel][pydantic.root_model.RootModel].

__pydantic_serializer__: The pydantic-core SchemaSerializer used to dump instances of the model.

__pydantic_validator__: The pydantic-core SchemaValidator used to validate instances of the model.

__pydantic_fields__: A dictionary of field names and their corresponding [FieldInfo][pydantic.fields.FieldInfo] objects.

__pydantic_computed_fields__: A dictionary of computed field names and their corresponding [ComputedFieldInfo][pydantic.fields.ComputedFieldInfo] objects.

__pydantic_extra__: A dictionary containing extra values, if [extra][pydantic.config.ConfigDict.extra] is set to ‘allow’.

__pydantic_fields_set__: The names of fields explicitly set during instantiation.

__pydantic_private__: Values of private attributes set on the model instance.

all: Aggregation

influence_percentage: float

grouped: Dict[str, Aggregation]

__getitem__(item)

class ITR.interfaces.ScoreAggregationScopes(/, **data: Any)

Bases: pydantic.BaseModel

!!! abstract “Usage Documentation”: [Models](../concepts/models.md)

A base class for creating Pydantic models.

__class_vars__: The names of the class variables defined on the model.

__private_attributes__: Metadata about the private attributes of the model.

__signature__: The synthesized __init__ [Signature][inspect.Signature] of the model.

__pydantic_complete__: Whether model building is completed, or if there are still undefined fields.

__pydantic_core_schema__: The core schema of the model.

__pydantic_custom_init__: Whether the model has a custom __init__ function.

__pydantic_decorators__: Metadata containing the decorators defined on the model. This replaces Model.__validators__ and Model.__root_validators__ from Pydantic V1.

__pydantic_generic_metadata__: Metadata for generic models; contains data used for a similar purpose to __args__, __origin__, __parameters__ in typing-module generics. May eventually be replaced by these.

__pydantic_parent_namespace__: Parent namespace of the model, used for automatic rebuilding of models.

__pydantic_post_init__: The name of the post-init method for the model, if defined.

__pydantic_root_model__: Whether the model is a [RootModel][pydantic.root_model.RootModel].

__pydantic_serializer__: The pydantic-core SchemaSerializer used to dump instances of the model.

__pydantic_validator__: The pydantic-core SchemaValidator used to validate instances of the model.

__pydantic_fields__: A dictionary of field names and their corresponding [FieldInfo][pydantic.fields.FieldInfo] objects.

__pydantic_computed_fields__: A dictionary of computed field names and their corresponding [ComputedFieldInfo][pydantic.fields.ComputedFieldInfo] objects.

__pydantic_extra__: A dictionary containing extra values, if [extra][pydantic.config.ConfigDict.extra] is set to ‘allow’.

__pydantic_fields_set__: The names of fields explicitly set during instantiation.

__pydantic_private__: Values of private attributes set on the model instance.

S1: ScoreAggregation | None = None

S2: ScoreAggregation | None = None

S1S2: ScoreAggregation | None = None

S3: ScoreAggregation | None = None

S1S2S3: ScoreAggregation | None = None

__getitem__(item)

class ITR.interfaces.ScoreAggregations(/, **data: Any)

Bases: pydantic.BaseModel

!!! abstract “Usage Documentation”: [Models](../concepts/models.md)

A base class for creating Pydantic models.

__class_vars__: The names of the class variables defined on the model.

__private_attributes__: Metadata about the private attributes of the model.

__signature__: The synthesized __init__ [Signature][inspect.Signature] of the model.

__pydantic_complete__: Whether model building is completed, or if there are still undefined fields.

__pydantic_core_schema__: The core schema of the model.

__pydantic_custom_init__: Whether the model has a custom __init__ function.

__pydantic_decorators__: Metadata containing the decorators defined on the model. This replaces Model.__validators__ and Model.__root_validators__ from Pydantic V1.

__pydantic_generic_metadata__: Metadata for generic models; contains data used for a similar purpose to __args__, __origin__, __parameters__ in typing-module generics. May eventually be replaced by these.

__pydantic_parent_namespace__: Parent namespace of the model, used for automatic rebuilding of models.

__pydantic_post_init__: The name of the post-init method for the model, if defined.

__pydantic_root_model__: Whether the model is a [RootModel][pydantic.root_model.RootModel].

__pydantic_serializer__: The pydantic-core SchemaSerializer used to dump instances of the model.

__pydantic_validator__: The pydantic-core SchemaValidator used to validate instances of the model.

__pydantic_fields__: A dictionary of field names and their corresponding [FieldInfo][pydantic.fields.FieldInfo] objects.

__pydantic_computed_fields__: A dictionary of computed field names and their corresponding [ComputedFieldInfo][pydantic.fields.ComputedFieldInfo] objects.

__pydantic_extra__: A dictionary containing extra values, if [extra][pydantic.config.ConfigDict.extra] is set to ‘allow’.

__pydantic_fields_set__: The names of fields explicitly set during instantiation.

__pydantic_private__: Values of private attributes set on the model instance.

short: ScoreAggregationScopes | None = None

mid: ScoreAggregationScopes | None = None

long: ScoreAggregationScopes | None = None

__getitem__(item)

class ITR.interfaces.ScenarioInterface(/, **data: Any)

Bases: pydantic.BaseModel

!!! abstract “Usage Documentation”: [Models](../concepts/models.md)

A base class for creating Pydantic models.

__class_vars__: The names of the class variables defined on the model.

__private_attributes__: Metadata about the private attributes of the model.

__signature__: The synthesized __init__ [Signature][inspect.Signature] of the model.

__pydantic_complete__: Whether model building is completed, or if there are still undefined fields.

__pydantic_core_schema__: The core schema of the model.

__pydantic_custom_init__: Whether the model has a custom __init__ function.

__pydantic_decorators__: Metadata containing the decorators defined on the model. This replaces Model.__validators__ and Model.__root_validators__ from Pydantic V1.

__pydantic_generic_metadata__: Metadata for generic models; contains data used for a similar purpose to __args__, __origin__, __parameters__ in typing-module generics. May eventually be replaced by these.

__pydantic_parent_namespace__: Parent namespace of the model, used for automatic rebuilding of models.

__pydantic_post_init__: The name of the post-init method for the model, if defined.

__pydantic_root_model__: Whether the model is a [RootModel][pydantic.root_model.RootModel].

__pydantic_serializer__: The pydantic-core SchemaSerializer used to dump instances of the model.

__pydantic_validator__: The pydantic-core SchemaValidator used to validate instances of the model.

__pydantic_fields__: A dictionary of field names and their corresponding [FieldInfo][pydantic.fields.FieldInfo] objects.

__pydantic_computed_fields__: A dictionary of computed field names and their corresponding [ComputedFieldInfo][pydantic.fields.ComputedFieldInfo] objects.

__pydantic_extra__: A dictionary containing extra values, if [extra][pydantic.config.ConfigDict.extra] is set to ‘allow’.

__pydantic_fields_set__: The names of fields explicitly set during instantiation.

__pydantic_private__: Values of private attributes set on the model instance.

number: int

engagement_type: str | None

class ITR.interfaces.PortfolioCompany(/, **data: Any)

Bases: pydantic.BaseModel

!!! abstract “Usage Documentation”: [Models](../concepts/models.md)

A base class for creating Pydantic models.

__class_vars__: The names of the class variables defined on the model.

__private_attributes__: Metadata about the private attributes of the model.

__signature__: The synthesized __init__ [Signature][inspect.Signature] of the model.

__pydantic_complete__: Whether model building is completed, or if there are still undefined fields.

__pydantic_core_schema__: The core schema of the model.

__pydantic_custom_init__: Whether the model has a custom __init__ function.

__pydantic_decorators__: Metadata containing the decorators defined on the model. This replaces Model.__validators__ and Model.__root_validators__ from Pydantic V1.

__pydantic_generic_metadata__: Metadata for generic models; contains data used for a similar purpose to __args__, __origin__, __parameters__ in typing-module generics. May eventually be replaced by these.

__pydantic_parent_namespace__: Parent namespace of the model, used for automatic rebuilding of models.

__pydantic_post_init__: The name of the post-init method for the model, if defined.

__pydantic_root_model__: Whether the model is a [RootModel][pydantic.root_model.RootModel].

__pydantic_serializer__: The pydantic-core SchemaSerializer used to dump instances of the model.

__pydantic_validator__: The pydantic-core SchemaValidator used to validate instances of the model.

__pydantic_fields__: A dictionary of field names and their corresponding [FieldInfo][pydantic.fields.FieldInfo] objects.

__pydantic_computed_fields__: A dictionary of computed field names and their corresponding [ComputedFieldInfo][pydantic.fields.ComputedFieldInfo] objects.

__pydantic_extra__: A dictionary containing extra values, if [extra][pydantic.config.ConfigDict.extra] is set to ‘allow’.

__pydantic_fields_set__: The names of fields explicitly set during instantiation.

__pydantic_private__: Values of private attributes set on the model instance.

company_name: str

company_id: str

company_isin: str | None = None

company_lei: str | None = None

investment_value: float

engagement_target: bool | None = False

user_fields: dict | None = None

classmethod validate_optional_strings(val)

class ITR.interfaces.IDataProviderCompany(/, **data: Any)

Bases: pydantic.BaseModel

!!! abstract “Usage Documentation”: [Models](../concepts/models.md)

A base class for creating Pydantic models.

__class_vars__: The names of the class variables defined on the model.

__private_attributes__: Metadata about the private attributes of the model.

__signature__: The synthesized __init__ [Signature][inspect.Signature] of the model.

__pydantic_complete__: Whether model building is completed, or if there are still undefined fields.

__pydantic_core_schema__: The core schema of the model.

__pydantic_custom_init__: Whether the model has a custom __init__ function.

__pydantic_decorators__: Metadata containing the decorators defined on the model. This replaces Model.__validators__ and Model.__root_validators__ from Pydantic V1.

__pydantic_generic_metadata__: Metadata for generic models; contains data used for a similar purpose to __args__, __origin__, __parameters__ in typing-module generics. May eventually be replaced by these.

__pydantic_parent_namespace__: Parent namespace of the model, used for automatic rebuilding of models.

__pydantic_post_init__: The name of the post-init method for the model, if defined.

__pydantic_root_model__: Whether the model is a [RootModel][pydantic.root_model.RootModel].

__pydantic_serializer__: The pydantic-core SchemaSerializer used to dump instances of the model.

__pydantic_validator__: The pydantic-core SchemaValidator used to validate instances of the model.

__pydantic_fields__: A dictionary of field names and their corresponding [FieldInfo][pydantic.fields.FieldInfo] objects.

__pydantic_computed_fields__: A dictionary of computed field names and their corresponding [ComputedFieldInfo][pydantic.fields.ComputedFieldInfo] objects.

__pydantic_extra__: A dictionary containing extra values, if [extra][pydantic.config.ConfigDict.extra] is set to ‘allow’.

__pydantic_fields_set__: The names of fields explicitly set during instantiation.

__pydantic_private__: Values of private attributes set on the model instance.

company_name: str

company_id: str

isic: str

ghg_s1: float | None

ghg_s2: float | None

ghg_s1s2: float | None

ghg_s3: float | None

ghg_s3_1: float | None

ghg_s3_2: float | None

ghg_s3_3: float | None

ghg_s3_4: float | None

ghg_s3_5: float | None

ghg_s3_6: float | None

ghg_s3_7: float | None

ghg_s3_8: float | None

ghg_s3_9: float | None

ghg_s3_10: float | None

ghg_s3_11: float | None

ghg_s3_12: float | None

ghg_s3_13: float | None

ghg_s3_14: float | None

ghg_s3_15: float | None

country: str | None = None

region: str | None = None

sector: str | None = None

industry_level_1: str | None = None

industry_level_2: str | None = None

industry_level_3: str | None = None

industry_level_4: str | None = None

company_revenue: float | None = 0.0

company_market_cap: float | None = 0.0

company_enterprise_value: float | None = 0.0

company_total_assets: float | None = 0.0

company_cash_equivalents: float | None = 0.0

sbti_validated: bool = None

class ITR.interfaces.SortableEnum(*args, **kwds)

Bases: enum.Enum

Create a collection of name/value pairs.

Example enumeration:

>>> class Color(Enum):
...     RED = 1
...     BLUE = 2
...     GREEN = 3

Access them by:

attribute access:
```
>>> Color.RED
<Color.RED: 1>
```
value lookup:
```
>>> Color(1)
<Color.RED: 1>
```
name lookup:
```
>>> Color['RED']
<Color.RED: 1>
```

Enumerations can be iterated over, and know how many members they have:

>>> len(Color)
3

>>> list(Color)
[<Color.RED: 1>, <Color.BLUE: 2>, <Color.GREEN: 3>]

Methods can be added to enumerations, and members can have their own attributes – see the documentation for details.

__str__()

__ge__(other)

__gt__(other)

__le__(other)

__lt__(other)

class ITR.interfaces.EScope(*args, **kwds)

Bases: SortableEnum

Create a collection of name/value pairs.

Example enumeration:

>>> class Color(Enum):
...     RED = 1
...     BLUE = 2
...     GREEN = 3

Access them by:

attribute access:
```
>>> Color.RED
<Color.RED: 1>
```
value lookup:
```
>>> Color(1)
<Color.RED: 1>
```
name lookup:
```
>>> Color['RED']
<Color.RED: 1>
```

Enumerations can be iterated over, and know how many members they have:

>>> len(Color)
3

>>> list(Color)
[<Color.RED: 1>, <Color.BLUE: 2>, <Color.GREEN: 3>]

Methods can be added to enumerations, and members can have their own attributes – see the documentation for details.

S1 = 'S1'

S2 = 'S2'

S1S2 = 'S1+S2'

S3 = 'S3'

S1S2S3 = 'S1+S2+S3'

classmethod get_result_scopes() → List[EScope]

Get a list of scopes that should be calculated if the user leaves it open.

Returns:: A list of EScope objects

class ITR.interfaces.ETimeFrames(*args, **kwds)

Bases: SortableEnum

Create a collection of name/value pairs.

Example enumeration:

>>> class Color(Enum):
...     RED = 1
...     BLUE = 2
...     GREEN = 3

Access them by:

attribute access:
```
>>> Color.RED
<Color.RED: 1>
```
value lookup:
```
>>> Color(1)
<Color.RED: 1>
```
name lookup:
```
>>> Color['RED']
<Color.RED: 1>
```

Enumerations can be iterated over, and know how many members they have:

>>> len(Color)
3

>>> list(Color)
[<Color.RED: 1>, <Color.BLUE: 2>, <Color.GREEN: 3>]

Methods can be added to enumerations, and members can have their own attributes – see the documentation for details.

SHORT = 'short'

MID = 'mid'

LONG = 'long'

class ITR.interfaces.ETargetReference(*args, **kwds)

Bases: SortableEnum

Create a collection of name/value pairs.

Example enumeration:

>>> class Color(Enum):
...     RED = 1
...     BLUE = 2
...     GREEN = 3

Access them by:

attribute access:
```
>>> Color.RED
<Color.RED: 1>
```
value lookup:
```
>>> Color(1)
<Color.RED: 1>
```
name lookup:
```
>>> Color['RED']
<Color.RED: 1>
```

Enumerations can be iterated over, and know how many members they have:

>>> len(Color)
3

>>> list(Color)
[<Color.RED: 1>, <Color.BLUE: 2>, <Color.GREEN: 3>]

Methods can be added to enumerations, and members can have their own attributes – see the documentation for details.

ABSOLUTE = 'absolute'

INT_TO_ABS = 'int_to_abs'

INTENSITY = 'intensity'

T_SCORE = 't_score'

class ITR.interfaces.S3Category(*args, **kwds)

Bases: SortableEnum

Create a collection of name/value pairs.

Example enumeration:

>>> class Color(Enum):
...     RED = 1
...     BLUE = 2
...     GREEN = 3

Access them by:

attribute access:
```
>>> Color.RED
<Color.RED: 1>
```
value lookup:
```
>>> Color(1)
<Color.RED: 1>
```
name lookup:
```
>>> Color['RED']
<Color.RED: 1>
```

Enumerations can be iterated over, and know how many members they have:

>>> len(Color)
3

>>> list(Color)
[<Color.RED: 1>, <Color.BLUE: 2>, <Color.GREEN: 3>]

Methods can be added to enumerations, and members can have their own attributes – see the documentation for details.

CAT_1 = 1

CAT_2 = 2

CAT_3 = 3

CAT_4 = 4

CAT_5 = 5

CAT_6 = 6

CAT_7 = 7

CAT_8 = 8

CAT_9 = 9

CAT_10 = 10

CAT_11 = 11

CAT_12 = 12

CAT_13 = 13

CAT_14 = 14

CAT_15 = 15

CAT_H_LINE = 0

N_A = -1

class ITR.interfaces.IDataProviderTarget(/, **data: Any)

Bases: pydantic.BaseModel

!!! abstract “Usage Documentation”: [Models](../concepts/models.md)

A base class for creating Pydantic models.

__class_vars__: The names of the class variables defined on the model.

__private_attributes__: Metadata about the private attributes of the model.

__signature__: The synthesized __init__ [Signature][inspect.Signature] of the model.

__pydantic_complete__: Whether model building is completed, or if there are still undefined fields.

__pydantic_core_schema__: The core schema of the model.

__pydantic_custom_init__: Whether the model has a custom __init__ function.

__pydantic_decorators__: Metadata containing the decorators defined on the model. This replaces Model.__validators__ and Model.__root_validators__ from Pydantic V1.

__pydantic_generic_metadata__: Metadata for generic models; contains data used for a similar purpose to __args__, __origin__, __parameters__ in typing-module generics. May eventually be replaced by these.

__pydantic_parent_namespace__: Parent namespace of the model, used for automatic rebuilding of models.

__pydantic_post_init__: The name of the post-init method for the model, if defined.

__pydantic_root_model__: Whether the model is a [RootModel][pydantic.root_model.RootModel].

__pydantic_serializer__: The pydantic-core SchemaSerializer used to dump instances of the model.

__pydantic_validator__: The pydantic-core SchemaValidator used to validate instances of the model.

__pydantic_fields__: A dictionary of field names and their corresponding [FieldInfo][pydantic.fields.FieldInfo] objects.

__pydantic_computed_fields__: A dictionary of computed field names and their corresponding [ComputedFieldInfo][pydantic.fields.ComputedFieldInfo] objects.

__pydantic_extra__: A dictionary containing extra values, if [extra][pydantic.config.ConfigDict.extra] is set to ‘allow’.

__pydantic_fields_set__: The names of fields explicitly set during instantiation.

__pydantic_private__: Values of private attributes set on the model instance.

company_id: str

target_type: str

intensity_metric: str | None = None

base_year_ts: float | None = None

end_year_ts: float | None = None

scope: EScope

s3_category: S3Category | None = None

coverage_s1: float | None

coverage_s2: float | None

coverage_s3: float | None

reduction_ambition: float | None

base_year: int

base_year_ghg_s1: float | None

base_year_ghg_s2: float | None

base_year_ghg_s1s2: float | None

base_year_ghg_s3: float | None

start_year: int | None = None

end_year: int

statement_date: datetime.date | None = None

time_frame: ETimeFrames | None = None

achieved_reduction: float | None = 0.0

to_calculate: bool | None = False

target_ids: List[str] = None

sbti_validated: bool = None

classmethod validate_intensity_metric(val)

classmethod validate_start_year(val)

classmethod convert_to_list(v): targets can be combined so target_ids field must be a list mode=’before’ is used to ensure that the validator is called before the default_factory with mode=’before’ and default_factory the users can supply single strings, e.g. “Target1”

equals(other: IDataProviderTarget) → bool: Check if two targets are equal. :param other: The other target :return: True if the targets are equal, False otherwise