Module i2pp.core.configuration_validator.validator
Module for validating and managing the configuration of the I2PP application.
Classes
class Discretization (path: pathlib.Path, type: str, options: Dict[str, Any] | None = <factory>)
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@dataclass class Discretization: """Class representing a discretization configuration.""" path: Path type: str options: Optional[Dict[str, Any]] = field(default_factory=dict) @staticmethod def from_dict(d: Dict[str, Any]) -> "Discretization": """Creates a Discretization instance from a dictionary.""" return Discretization( path=resolve_and_validate_path(d["path"]), type=d["type"], options=d.get("options", {}), # Safe default if not provided )
Class representing a discretization configuration.
Static methods
def from_dict(d: Dict[str, Any]) ‑> Discretization
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@staticmethod def from_dict(d: Dict[str, Any]) -> "Discretization": """Creates a Discretization instance from a dictionary.""" return Discretization( path=resolve_and_validate_path(d["path"]), type=d["type"], options=d.get("options", {}), # Safe default if not provided )
Creates a Discretization instance from a dictionary.
Instance variables
var options : Dict[str, Any] | None
var path : pathlib.Path
var type : str
class Export (folder_path: pathlib.Path,
file_name: str,
type: str,
output_parameter_name: str | None = None)-
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@dataclass class Export: """Class representing the export configuration.""" folder_path: Path file_name: str type: str output_parameter_name: Optional[str] = None @staticmethod def from_dict(d: Dict[str, Any]) -> "Export": """Creates an Export instance from a dictionary.""" return Export( folder_path=resolve_and_validate_path( d["folder_path"], must_exist=False ), file_name=d["file_name"], type=d["type"], output_parameter_name=d.get("output_parameter_name"), )
Class representing the export configuration.
Static methods
def from_dict(d: Dict[str, Any]) ‑> Export
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@staticmethod def from_dict(d: Dict[str, Any]) -> "Export": """Creates an Export instance from a dictionary.""" return Export( folder_path=resolve_and_validate_path( d["folder_path"], must_exist=False ), file_name=d["file_name"], type=d["type"], output_parameter_name=d.get("output_parameter_name"), )
Creates an Export instance from a dictionary.
Instance variables
var file_name : str
var folder_path : pathlib.Path
var output_parameter_name : str | None
var type : str
class I2PPConfig (import_: Import,
processing: Processing,
export: Export)-
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@dataclass class I2PPConfig: """Class representing the configuration for the I2PP application.""" import_: Import processing: Processing export: Export @staticmethod def from_dict(d: Dict[str, Any]) -> "I2PPConfig": """Creates an I2PPConfig instance from a dictionary.""" return I2PPConfig( import_=Import.from_dict(d["import"]), processing=Processing.from_dict(d["processing"]), export=Export.from_dict(d["export"]), )
Class representing the configuration for the I2PP application.
Static methods
def from_dict(d: Dict[str, Any]) ‑> I2PPConfig
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@staticmethod def from_dict(d: Dict[str, Any]) -> "I2PPConfig": """Creates an I2PPConfig instance from a dictionary.""" return I2PPConfig( import_=Import.from_dict(d["import"]), processing=Processing.from_dict(d["processing"]), export=Export.from_dict(d["export"]), )
Creates an I2PPConfig instance from a dictionary.
Instance variables
var export : Export
var import_ : Import
var processing : Processing
class Image (path: pathlib.Path, type: str, options: Dict[str, Any] = <factory>)
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@dataclass class Image: """Class representing an image configuration.""" path: Path type: str options: Dict[str, Any] = field(default_factory=dict) @staticmethod def from_dict(d: Dict[str, Any]) -> "Image": """Creates an Image instance from a dictionary.""" return Image( path=resolve_and_validate_path(d["path"]), type=d["type"], options=(d["options"] if "options" in d else {}), )
Class representing an image configuration.
Static methods
def from_dict(d: Dict[str, Any]) ‑> Image
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@staticmethod def from_dict(d: Dict[str, Any]) -> "Image": """Creates an Image instance from a dictionary.""" return Image( path=resolve_and_validate_path(d["path"]), type=d["type"], options=(d["options"] if "options" in d else {}), )
Creates an Image instance from a dictionary.
Instance variables
var options : Dict[str, Any]
var path : pathlib.Path
var type : str
class Import (discretization: Discretization,
image: Image)-
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@dataclass class Import: """Class representing the import configuration for discretization and image data.""" discretization: Discretization image: Image @staticmethod def from_dict(d: Dict[str, Any]) -> "Import": """Creates an Import instance from a dictionary.""" return Import( discretization=Discretization.from_dict(d["discretization"]), image=Image.from_dict(d["image"]), )
Class representing the import configuration for discretization and image data.
Static methods
def from_dict(d: Dict[str, Any]) ‑> Import
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@staticmethod def from_dict(d: Dict[str, Any]) -> "Import": """Creates an Import instance from a dictionary.""" return Import( discretization=Discretization.from_dict(d["discretization"]), image=Image.from_dict(d["image"]), )
Creates an Import instance from a dictionary.
Instance variables
var discretization : Discretization
var image : Image
class Processing (interpolation_method: str,
smoothing: Smoothing | None,
transformation: Transformation)-
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@dataclass class Processing: """Class representing the processing configuration.""" interpolation_method: str smoothing: Optional[Smoothing] transformation: Transformation @staticmethod def from_dict(d: Dict[str, Any]) -> "Processing": """Creates a Processing instance from a dictionary.""" return Processing( interpolation_method=d["interpolation_method"], smoothing=( Smoothing.from_dict(d["smoothing"]) if d.get("smoothing") is not None else None ), transformation=Transformation.from_dict(d["transformation"]), )
Class representing the processing configuration.
Static methods
def from_dict(d: Dict[str, Any]) ‑> Processing
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@staticmethod def from_dict(d: Dict[str, Any]) -> "Processing": """Creates a Processing instance from a dictionary.""" return Processing( interpolation_method=d["interpolation_method"], smoothing=( Smoothing.from_dict(d["smoothing"]) if d.get("smoothing") is not None else None ), transformation=Transformation.from_dict(d["transformation"]), )
Creates a Processing instance from a dictionary.
Instance variables
var interpolation_method : str
var smoothing : Smoothing | None
var transformation : Transformation
class Smoothing (smoothing_area: int = 3, visualize: bool = False)
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@dataclass class Smoothing: """Class representing the smoothing configuration.""" smoothing_area: int = 3 visualize: bool = False @staticmethod def from_dict(d: Optional[Dict[str, Any]]) -> Optional["Smoothing"]: """Creates a Smoothing instance from a dictionary.""" if d is None: return None return Smoothing( smoothing_area=d.get("smoothing_area", 3), visualize=d.get("visualize", False), )
Class representing the smoothing configuration.
Static methods
def from_dict(d: Dict[str, Any] | None) ‑> Smoothing | None
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@staticmethod def from_dict(d: Optional[Dict[str, Any]]) -> Optional["Smoothing"]: """Creates a Smoothing instance from a dictionary.""" if d is None: return None return Smoothing( smoothing_area=d.get("smoothing_area", 3), visualize=d.get("visualize", False), )
Creates a Smoothing instance from a dictionary.
Instance variables
var smoothing_area : int
var visualize : bool
class Transformation (user_script: pathlib.Path,
user_function: str,
normalize_values: bool = False,
visualize: bool = False)-
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@dataclass class Transformation: """Class representing the transformation configuration.""" user_script: Path user_function: str normalize_values: bool = False visualize: bool = False @staticmethod def from_dict(d: Dict[str, Any]) -> "Transformation": """Creates a Transformation instance from a dictionary.""" return Transformation( user_script=resolve_and_validate_path(d["user_script"]), user_function=d["user_function"], normalize_values=d.get("normalize_values", False), visualize=d.get("visualize", False), )
Class representing the transformation configuration.
Static methods
def from_dict(d: Dict[str, Any]) ‑> Transformation
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@staticmethod def from_dict(d: Dict[str, Any]) -> "Transformation": """Creates a Transformation instance from a dictionary.""" return Transformation( user_script=resolve_and_validate_path(d["user_script"]), user_function=d["user_function"], normalize_values=d.get("normalize_values", False), visualize=d.get("visualize", False), )
Creates a Transformation instance from a dictionary.
Instance variables
var normalize_values : bool
var user_function : str
var user_script : pathlib.Path
var visualize : bool