geolib.models.dgeoflow.internal

The internal data model structure.

Functions

transform_id_to_str(value)

Classes

BoundaryConditionCollection(**data)

boundaryconditions/boundaryconditions_x.json

CalculationType

alias of CalculationTypeEnum

CalculationTypeEnum(value[, names, module, ...])

CriticalHeadResult(**data)

DGeoFlowBaseModelStructure(**data)

DGeoFlowStructure(**data)

Highest level DGeoFlow class that should be parsed to and serialized from.

DGeoFlowSubStructure(**data)

ElementResult(**data)

ErosionDirectionEnum(value[, names, module, ...])

ForeignKeys(**data)

A dataclass that store the connections between the various unique Ids used in DGeoFlow.

Geometry(**data)

geometries/geometry_x.json

GroundwaterFlowResult(**data)

InternalPipeTrajectory(**data)

MeshProperty(**data)

meshproperties/meshproperties_x.json

NodeResult(**data)

PersistableBoundaryCondition(**data)

PersistableCalculation(**data)

PersistableCriticalHeadSearchSpace(**data)

PersistableFixedHeadBoundaryConditionProperties(**data)

PersistableLayer(**data)

PersistableMeshProperties(**data)

PersistablePoint(**data)

PersistableShadingTypeEnum(value[, names, ...])

PersistableSoil(**data)

PersistableSoilLayer(**data)

PersistableSoilVisualization(**data)

PersistableStage(**data)

PersistableStochasticParameter(**data)

PipeElementResult(**data)

PipeLengthResult(**data)

ProjectInfo(**data)

projectinfo.json.

Scenario(**data)

scenarios/scenario_x.json

SoilCollection(**data)

soils.json

SoilLayerCollection(**data)

soillayers/soillayers_x.json

SoilVisualisation(**data)

class geolib.models.dgeoflow.internal.BoundaryConditionCollection(**data)

boundaryconditions/boundaryconditions_x.json

Parameters:

data (Any)

BoundaryConditions: List[PersistableBoundaryCondition]
ContentVersion: Optional[str]
Id: Optional[str]
add_boundary_condition(id, label, notes, points, head_level)
Parameters:

  • id (int)

  • label (str)

  • notes (str)

  • points (List[Point])

  • head_level (float)

Return type:

PersistableBoundaryCondition

contains_point(point)

Check if the given point is on one of the points of the layers

Parameters:

point (Point) – A point type

Returns:

True if this point is found on a layer, False otherwise

Return type:

bool

Todo

Take x, z accuracy into account

id_validator()
Return type:

str

model_config: ClassVar[ConfigDict] = {'arbitrary_types_allowed': True, 'extra': 'forbid', 'ser_json_inf_nan': 'constants', 'validate_assignment': True, 'validate_default': True}

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

classmethod structure_name()
Return type:

str

geolib.models.dgeoflow.internal.CalculationType

alias of CalculationTypeEnum

class geolib.models.dgeoflow.internal.CalculationTypeEnum(value, names=<not given>, *values, module=None, qualname=None, type=None, start=1, boundary=None)
CRITICAL_HEAD = 'CriticalHead'
GROUNDWATER_FLOW = 'GroundwaterFlow'
PIPE_LENGTH = 'PipeLength'
class geolib.models.dgeoflow.internal.CriticalHeadResult(**data)
Parameters:

data (Any)

ContentVersion: Optional[str]
CriticalHead: Optional[float]
Elements: Optional[List[ElementResult]]
Id: Optional[str]
PipeElements: Optional[List[PipeElementResult]]
PipeLength: Optional[float]
id_validator()
Return type:

str

model_config: ClassVar[ConfigDict] = {'arbitrary_types_allowed': True, 'extra': 'forbid', 'ser_json_inf_nan': 'constants', 'validate_assignment': True, 'validate_default': True}

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

class geolib.models.dgeoflow.internal.DGeoFlowBaseModelStructure(**data)
Parameters:

data (Any)

dict(*args, **kwargs)
model_config: ClassVar[ConfigDict] = {'arbitrary_types_allowed': True, 'extra': 'forbid', 'ser_json_inf_nan': 'constants', 'validate_assignment': True, 'validate_default': True}

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

class geolib.models.dgeoflow.internal.DGeoFlowStructure(**data)

Highest level DGeoFlow class that should be parsed to and serialized from.

The List[] items (one for each scenario in the model) will be stored in a subfolder to multiple json files. Where the first (0) instance has no suffix, but the second one has (1 => _1) etc.

also parses the outputs which are part of the json files

Parameters:

data (Any)

add_default_calculation(scenario_index, label, notes)

Add a new default (empty) calculation to DStability.

Parameters:

  • scenario_index (int)

  • label (str)

  • notes (str)

Return type:

int

add_default_scenario(label, notes, unique_start_id=None)

Add a new default (empty) scenario to DGeoFlow.

Parameters:

  • label (str)

  • notes (str)

  • unique_start_id (Optional[int])

Return type:

Tuple[int, int]

add_default_stage(scenario_index, label, notes, unique_start_id=None)

Add a new default (empty) stage to DStability.

Parameters:

  • scenario_index (int)

  • label (str)

  • notes (str)

  • unique_start_id (Optional[int])

Return type:

int

boundary_conditions: List[BoundaryConditionCollection]
critical_head_results: List[CriticalHeadResult]
ensure_validity_foreign_keys()
geometries: List[Geometry]
get_result_substructure(calculation_type)
Parameters:

calculation_type (CalculationTypeEnum)

Return type:

List[Union[GroundwaterFlowResult, PipeLengthResult, CriticalHeadResult]]

get_unique_id()

Return unique id that can be used in DGeoFlow. Finds all existing ids, takes the max and does +1.

Return type:

int

groundwater_flow_results: List[GroundwaterFlowResult]
has_result(scenario_index)
Parameters:

scenario_index (int)

Return type:

bool

has_scenario(scenario_id)
Parameters:

scenario_id (int)

Return type:

bool

has_soil_layer(stage_id, soil_layer_id)
Parameters:

  • stage_id (int)

  • soil_layer_id (int)

Return type:

bool

has_soil_layers(scenario_id)
Parameters:

scenario_id (int)

Return type:

bool

mesh_properties: List[MeshProperty]
model_config: ClassVar[ConfigDict] = {'arbitrary_types_allowed': True, 'extra': 'forbid', 'ser_json_inf_nan': 'constants', 'validate_assignment': True, 'validate_default': True}

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

pipe_length_results: List[PipeLengthResult]
projectinfo: ProjectInfo
scenarios: List[Scenario]
soillayers: List[SoilLayerCollection]
soils: SoilCollection
soilvisualizations: SoilVisualisation
validator()

Set the Validator class.

class geolib.models.dgeoflow.internal.DGeoFlowSubStructure(**data)
Parameters:

data (Any)

model_config: ClassVar[ConfigDict] = {'arbitrary_types_allowed': True, 'extra': 'forbid', 'ser_json_inf_nan': 'constants', 'validate_assignment': True, 'validate_default': True}

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

classmethod structure_name()
class geolib.models.dgeoflow.internal.ElementResult(**data)
Parameters:

data (Any)

NodeResults: Optional[List[NodeResult]]
model_config: ClassVar[ConfigDict] = {'arbitrary_types_allowed': True, 'extra': 'forbid', 'ser_json_inf_nan': 'constants', 'validate_assignment': True, 'validate_default': True}

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

class geolib.models.dgeoflow.internal.ErosionDirectionEnum(value, names=<not given>, *values, module=None, qualname=None, type=None, start=1, boundary=None)
LEFT_TO_RIGHT = ('LeftToRight',)
RIGHT_TO_LEFT = 'RightToLeft'
class geolib.models.dgeoflow.internal.ForeignKeys(**data)

A dataclass that store the connections between the various unique Ids used in DGeoFlow. These can be seen as (implicit) foreign keys.

Parameters:

data (Any)

property class_fields: Dict[str, List[str]]

Return a mapping in the form: classname: [fields]

mapping: Dict[str, Tuple[str, ...]]
model_config: ClassVar[ConfigDict] = {'arbitrary_types_allowed': True, 'extra': 'forbid', 'ser_json_inf_nan': 'constants', 'validate_assignment': True, 'validate_default': True}

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

class geolib.models.dgeoflow.internal.Geometry(**data)

geometries/geometry_x.json

Parameters:

data (Any)

ContentVersion: Optional[str]
Id: Optional[str]
Layers: List[PersistableLayer]
add_layer(id, label, notes, points)

Add a new layer to the model. Layers are expected; 1. to contain at least 3 point (non closed polygons) 2. the points need to be in clockwise order 3. the polygon needs to be convex (no intersections with itsself)

Parameters:

  • id (str) – id of the layer

  • label (str) – label of the layer

  • notes (str) – notes for the layers

  • points (List[Points]) – list of Point classes

Returns:

the layer as a persistable object

Return type:

PersistableLayer

contains_point(point)

Check if the given point is on one of the points of the layers

Parameters:

point (Point) – A point type

Returns:

True if this point is found on a layer, False otherwise

Return type:

bool

Todo

Take x, z accuracy into account

get_layer(id)
Parameters:

id (int)

Return type:

PersistableLayer

id_validator()
Return type:

str

model_config: ClassVar[ConfigDict] = {'arbitrary_types_allowed': True, 'extra': 'forbid', 'ser_json_inf_nan': 'constants', 'validate_assignment': True, 'validate_default': True}

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

classmethod structure_name()
Return type:

str

class geolib.models.dgeoflow.internal.GroundwaterFlowResult(**data)
Parameters:

data (Any)

ContentVersion: Optional[str]
Elements: Optional[List[ElementResult]]
Id: Optional[str]
id_validator()
Return type:

str

model_config: ClassVar[ConfigDict] = {'arbitrary_types_allowed': True, 'extra': 'forbid', 'ser_json_inf_nan': 'constants', 'validate_assignment': True, 'validate_default': True}

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

class geolib.models.dgeoflow.internal.InternalPipeTrajectory(**data)
Parameters:

data (Any)

D70: Optional[float]
ElementSize: Optional[float]
ErosionDirection: Optional[ErosionDirectionEnum]
Label: Optional[str]
Notes: Optional[str]
Points: Optional[List[PersistablePoint]]
model_config: ClassVar[ConfigDict] = {'arbitrary_types_allowed': True, 'extra': 'forbid', 'ser_json_inf_nan': 'constants', 'validate_assignment': True, 'validate_default': True}

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

class geolib.models.dgeoflow.internal.MeshProperty(**data)

meshproperties/meshproperties_x.json

Parameters:

data (Any)

ContentVersion: Optional[str]
Id: Optional[str]
MeshProperties: Optional[List[PersistableMeshProperties]]
add_meshproperty(layer_id, element_size, label)
Parameters:

  • layer_id (str)

  • element_size (float)

  • label (str)

Return type:

PersistableMeshProperties

get_ids(exclude_soil_layer_id)
Parameters:

exclude_soil_layer_id (Optional[int])

Return type:

Set[str]

id_validator()
Return type:

str

model_config: ClassVar[ConfigDict] = {'arbitrary_types_allowed': True, 'extra': 'forbid', 'ser_json_inf_nan': 'constants', 'validate_assignment': True, 'validate_default': True}

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

classmethod structure_name()
Return type:

str

class geolib.models.dgeoflow.internal.NodeResult(**data)
Parameters:

data (Any)

HydraulicDischarge: float
HydraulicHead: float
Point: Optional[PersistablePoint]
TotalPorePressure: float
model_config: ClassVar[ConfigDict] = {'arbitrary_types_allowed': True, 'extra': 'forbid', 'ser_json_inf_nan': 'constants', 'validate_assignment': True, 'validate_default': True}

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

class geolib.models.dgeoflow.internal.PersistableBoundaryCondition(**data)
Parameters:

data (Any)

FixedHeadBoundaryConditionProperties: PersistableFixedHeadBoundaryConditionProperties
Id: Optional[str]
Label: Optional[str]
Notes: Optional[str]
Points: Annotated[List[PersistablePoint]]
id_validator()
Return type:

str

model_config: ClassVar[ConfigDict] = {'arbitrary_types_allowed': True, 'extra': 'forbid', 'ser_json_inf_nan': 'constants', 'validate_assignment': True, 'validate_default': True}

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

class geolib.models.dgeoflow.internal.PersistableCalculation(**data)
Parameters:

data (Any)

CalculationType: Optional[CalculationTypeEnum]
CriticalHeadId: Optional[str]
CriticalHeadSearchSpace: Optional[PersistableCriticalHeadSearchSpace]
Label: Optional[str]
MeshPropertiesId: Optional[str]
Notes: Optional[str]
PipeTrajectory: Optional[InternalPipeTrajectory]
ResultsId: Optional[str]
id_validator()
Return type:

str

model_config: ClassVar[ConfigDict] = {'arbitrary_types_allowed': True, 'extra': 'forbid', 'ser_json_inf_nan': 'constants', 'validate_assignment': True, 'validate_default': True}

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

class geolib.models.dgeoflow.internal.PersistableCriticalHeadSearchSpace(**data)
Parameters:

data (Any)

MaximumHeadLevel: Optional[float]
MinimumHeadLevel: Optional[float]
StepSize: Optional[float]
model_config: ClassVar[ConfigDict] = {'arbitrary_types_allowed': True, 'extra': 'forbid', 'ser_json_inf_nan': 'constants', 'validate_assignment': True, 'validate_default': True}

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

class geolib.models.dgeoflow.internal.PersistableFixedHeadBoundaryConditionProperties(**data)
Parameters:

data (Any)

HeadLevel: float
model_config: ClassVar[ConfigDict] = {'arbitrary_types_allowed': True, 'extra': 'forbid', 'ser_json_inf_nan': 'constants', 'validate_assignment': True, 'validate_default': True}

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

class geolib.models.dgeoflow.internal.PersistableLayer(**data)
Parameters:

data (Any)

Id: Optional[str]
Label: Optional[str]
Notes: Optional[str]
Points: Annotated[List[PersistablePoint]]
id_validator()
Return type:

str

model_config: ClassVar[ConfigDict] = {'arbitrary_types_allowed': True, 'extra': 'forbid', 'ser_json_inf_nan': 'constants', 'validate_assignment': True, 'validate_default': True}

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

classmethod polygon_checks(points)

Todo

Find a way to check the validity of the given points

classmethod polygon_checks_validator(points)

Todo

Find a way to check the validity of the given points

class geolib.models.dgeoflow.internal.PersistableMeshProperties(**data)
Parameters:

data (Any)

ElementSize: Optional[float]
Label: Optional[str]
LayerId: str
id_validator()
Return type:

str

model_config: ClassVar[ConfigDict] = {'arbitrary_types_allowed': True, 'extra': 'forbid', 'ser_json_inf_nan': 'constants', 'validate_assignment': True, 'validate_default': True}

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

class geolib.models.dgeoflow.internal.PersistablePoint(**data)
Parameters:

data (Any)

X: Optional[float]
Z: Optional[float]
model_config: ClassVar[ConfigDict] = {'arbitrary_types_allowed': True, 'extra': 'forbid', 'ser_json_inf_nan': 'constants', 'validate_assignment': True, 'validate_default': True}

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

class geolib.models.dgeoflow.internal.PersistableShadingTypeEnum(value, names=<not given>, *values, module=None, qualname=None, type=None, start=1, boundary=None)
DIAGONAL_A = 'DiagonalA'
DIAGONAL_B = 'DiagonalB'
DIAGONAL_C = 'DiagonalC'
DIAGONAL_D = 'DiagonalD'
DOT_A = 'DotA'
DOT_B = 'DotB'
DOT_C = 'DotC'
DOT_D = 'DotD'
HORIZONTAL_A = 'HorizontalA'
HORIZONTAL_B = 'HorizontalB'
NONE = 'None'
class geolib.models.dgeoflow.internal.PersistableSoil(**data)
Parameters:

data (Any)

Code: str
HorizontalPermeability: float
Id: str
Name: str
Notes: str
VerticalPermeability: float
id_validator()
Return type:

str

model_config: ClassVar[ConfigDict] = {'arbitrary_types_allowed': True, 'extra': 'forbid', 'ser_json_inf_nan': 'constants', 'validate_assignment': True, 'validate_default': True}

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

class geolib.models.dgeoflow.internal.PersistableSoilLayer(**data)
Parameters:

data (Any)

LayerId: Optional[str]
SoilId: Optional[str]
id_validator()
Return type:

str

model_config: ClassVar[ConfigDict] = {'arbitrary_types_allowed': True, 'extra': 'forbid', 'ser_json_inf_nan': 'constants', 'validate_assignment': True, 'validate_default': True}

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

class geolib.models.dgeoflow.internal.PersistableSoilVisualization(**data)
Parameters:

data (Any)

Color: Optional[str]
PersistableShadingType: Optional[PersistableShadingTypeEnum]
SoilId: Optional[str]
id_validator()
Return type:

str

model_config: ClassVar[ConfigDict] = {'arbitrary_types_allowed': True, 'extra': 'forbid', 'ser_json_inf_nan': 'constants', 'validate_assignment': True, 'validate_default': True}

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

class geolib.models.dgeoflow.internal.PersistableStage(**data)
Parameters:

data (Any)

BoundaryConditionCollectionId: Optional[str]
Label: Optional[str]
Notes: Optional[str]
model_config: ClassVar[ConfigDict] = {'arbitrary_types_allowed': True, 'extra': 'forbid', 'ser_json_inf_nan': 'constants', 'validate_assignment': True, 'validate_default': True}

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

class geolib.models.dgeoflow.internal.PersistableStochasticParameter(**data)
Parameters:

data (Any)

IsProbabilistic: bool
Mean: float
StandardDeviation: float
model_config: ClassVar[ConfigDict] = {'arbitrary_types_allowed': True, 'extra': 'forbid', 'ser_json_inf_nan': 'constants', 'validate_assignment': True, 'validate_default': True}

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

class geolib.models.dgeoflow.internal.PipeElementResult(**data)
Parameters:

data (Any)

Height: Optional[float]
IsActive: Optional[bool]
Nodes: Optional[List[PersistablePoint]]
model_config: ClassVar[ConfigDict] = {'arbitrary_types_allowed': True, 'extra': 'forbid', 'ser_json_inf_nan': 'constants', 'validate_assignment': True, 'validate_default': True}

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

class geolib.models.dgeoflow.internal.PipeLengthResult(**data)
Parameters:

data (Any)

ContentVersion: Optional[str]
Elements: Optional[List[ElementResult]]
Id: Optional[str]
PipeElements: Optional[List[PipeElementResult]]
PipeLength: Optional[float]
id_validator()
Return type:

str

model_config: ClassVar[ConfigDict] = {'arbitrary_types_allowed': True, 'extra': 'forbid', 'ser_json_inf_nan': 'constants', 'validate_assignment': True, 'validate_default': True}

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

class geolib.models.dgeoflow.internal.ProjectInfo(**data)

projectinfo.json.

Parameters:

data (Any)

Analyst: Optional[str]
ApplicationCreated: Optional[str]
ApplicationModified: Optional[str]
ContentVersion: Optional[str]
Created: Optional[date]
CrossSection: Optional[str]
Date: Optional[date]
IsDataValidated: Optional[bool]
LastModified: Optional[date]
LastModifier: Optional[str]
Path: Optional[str]
Project: Optional[str]
Remarks: Optional[str]
model_config: ClassVar[ConfigDict] = {'arbitrary_types_allowed': True, 'extra': 'forbid', 'ser_json_inf_nan': 'constants', 'validate_assignment': True, 'validate_default': True}

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

classmethod nltime(date)
Parameters:

date (Union[date, str])

Return type:

date

classmethod nltime_validator(date)
Parameters:

date (Union[date, str])

Return type:

date

class geolib.models.dgeoflow.internal.Scenario(**data)

scenarios/scenario_x.json

Parameters:

data (Any)

Calculations: List[PersistableCalculation]
ContentVersion: Optional[str]
GeometryId: Optional[str]
Id: Optional[str]
Label: Optional[str]
Notes: Optional[str]
SoilLayersId: Optional[str]
Stages: List[PersistableStage]
add_calculation(label, notes, mesh_properties_id)
Parameters:

  • label (str)

  • notes (str)

  • mesh_properties_id (str)

Return type:

PersistableCalculation

add_stage(label, notes, boundaryconditions_collection_id)
Parameters:

  • label (str)

  • notes (str)

  • boundaryconditions_collection_id (str)

Return type:

PersistableStage

id_validator()
Return type:

str

model_config: ClassVar[ConfigDict] = {'arbitrary_types_allowed': True, 'extra': 'forbid', 'ser_json_inf_nan': 'constants', 'validate_assignment': True, 'validate_default': True}

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

classmethod structure_name()
Return type:

str

class geolib.models.dgeoflow.internal.SoilCollection(**data)

soils.json

Parameters:

data (Any)

ContentVersion: Optional[str]
Soils: List[PersistableSoil]
add_soil(soil)

Add a new soil to the model.

Parameters:

soil (Soil) – a new soil

Return type:

PersistableSoil

Returns:

None

edit_persistable_soil(persistable_soil, kwargs)
Parameters:
edit_soil(code, **kwargs)

Update a soil.

Parameters:

  • code (str) – code of the soil.

  • kwargs (dict) – dictionary with argument names and values

Returns:

the edited soil

Return type:

PersistableSoil

edit_soil_by_name(name=None, **kwargs)

Update a soil, searching by name. This method will edit the first occurence of the name if it is used multiple times.

Parameters:

  • name (str) – name of the soil.

  • kwargs (dict) – dictionary with argument names and values

Returns:

the edited soil

Return type:

PersistableSoil

get_soil(code)

Get soil by the given code.

Parameters:

code (str) – code of the soil

Returns:

the soil object

Return type:

Soil

has_soilcode(code)

Checks if the soilcode is available in the current soil list.

Parameters:

code (str) – code of the soil

Returns:

True if found, False if not

Return type:

bool

model_config: ClassVar[ConfigDict] = {'arbitrary_types_allowed': True, 'extra': 'forbid', 'ser_json_inf_nan': 'constants', 'validate_assignment': True, 'validate_default': True}

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

classmethod structure_name()
Return type:

str

class geolib.models.dgeoflow.internal.SoilLayerCollection(**data)

soillayers/soillayers_x.json

Parameters:

data (Any)

ContentVersion: Optional[str]
Id: Optional[str]
SoilLayers: List[PersistableSoilLayer]
add_soillayer(layer_id, soil_id)
Parameters:

  • layer_id (str)

  • soil_id (str)

Return type:

PersistableSoilLayer

get_ids(exclude_soil_layer_id)
Parameters:

exclude_soil_layer_id (Optional[int])

Return type:

Set[str]

id_validator()
Return type:

str

model_config: ClassVar[ConfigDict] = {'arbitrary_types_allowed': True, 'extra': 'forbid', 'ser_json_inf_nan': 'constants', 'validate_assignment': True, 'validate_default': True}

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

classmethod structure_name()
Return type:

str

class geolib.models.dgeoflow.internal.SoilVisualisation(**data)
Parameters:

data (Any)

ContentVersion: Optional[str]
SoilVisualizations: Optional[List[Optional[PersistableSoilVisualization]]]
model_config: ClassVar[ConfigDict] = {'arbitrary_types_allowed': True, 'extra': 'forbid', 'ser_json_inf_nan': 'constants', 'validate_assignment': True, 'validate_default': True}

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

classmethod structure_name()
Return type:

str

geolib.models.dgeoflow.internal.transform_id_to_str(value)
Return type:

str