monkey_wrench.input_output.seviri._models module
The module providing a function to read and resample SEVIRI native files from FSFile objects.
- monkey_wrench.input_output.seviri._models.DEFAULT_CHANNEL_NAMES = ['VIS006', 'VIS008', 'IR_016', 'IR_039', 'WV_062', 'WV_073', 'IR_087', 'IR_097', 'IR_108', 'IR_120', 'IR_134', 'HRV']
Names of SEVIRI channels.
- class monkey_wrench.input_output.seviri._models.RemoteSeviriFile(*, fsspec_cache: Literal['filecache', 'blockcache'] | None = None)[source]
Bases:
FsSpecCache
- class monkey_wrench.input_output.seviri._models.Resampler(*, fsspec_cache: ~typing.Literal['filecache', 'blockcache'] | None = None, parent_output_directory_path: ~typing.Annotated[~pathlib.Path, ~pydantic.types.PathType(path_type=dir), ~pydantic.functional_validators.AfterValidator(func=~monkey_wrench.input_output._types.<lambda>)], datetime_format_string: str = '%Y/%m/%d', reset_child_datetime_directory: bool = False, dataset_save_options: dict[str, bool | str | int] = {'include_lonlats': False, 'writer': 'cf'}, area: ~typing.Annotated[~pathlib.Path, ~pydantic.types.PathType(path_type=file), ~pydantic.functional_validators.AfterValidator(func=~monkey_wrench.input_output._types.<lambda>)] | dict[str, ~typing.Any] | ~pyresample.geometry.AreaDefinition, output_filename_generator: ~typing.Annotated[~typing.Callable[[...], ~pathlib.Path], ~pydantic.functional_validators.BeforeValidator(func=~monkey_wrench.generic.models._function.validate_function_path, json_schema_input_type=PydanticUndefined)] | ~typing.Callable[[str], ~pathlib.Path] = <function input_filename_from_product_id>, channel_names: list[str] = ['VIS006', 'VIS008', 'IR_016', 'IR_039', 'WV_062', 'WV_073', 'IR_087', 'IR_097', 'IR_108', 'IR_120', 'IR_134', 'HRV'], radius_of_influence: ~typing.Annotated[int, ~annotated_types.Ge(ge=0)] = 20000, remove_file_if_exists: bool = True)[source]
Bases:
Area,DatasetSaveOptions,DateTimeDirectory,RemoteSeviriFile- output_filename_generator: Annotated[Callable[[...], Path], BeforeValidator(func=validate_function_path, json_schema_input_type=PydanticUndefined)] | Callable[[str], Path]
The function using which an output filename will be generated from the given input filename (SEVIRI native file).
The generated filename is used to store the resampled file. The generated output filename will be prepended with
output_pathto compose a complete filepath for the output file.
- channel_names: list[str]
The list of channels to load from the file. Defaults to
satpy.readers.seviri_base.CHANNEL_NAMES.values().
- area: AbsolutePath[FilePath] | dict[str, Any] | AreaDefinition
A filepath, a dictionary, or an object of type AreaDefinition which holds the area information for resampling.
- dataset_save_options: dict[str, bool | str | int]
A dictionary which includes the actual storage options.
The default behaviour is to use
cfas the writer and exclude longitude and latitude values, i.e.dataset_save_options = dict(writer="cf", include_lonlats=False)
- datetime_format_string: str
The format string to create subdirectories from the datetime object. Defaults to
"%Y/%m/%d".
- reset_child_datetime_directory: bool
Whether to remove the (child) directory first if it already exists. Defaults to
False.This might save us from issues regarding files being overwritten and corrupted.
- parent_output_directory_path: ExistingDirectoryPath
- fsspec_cache: Literal['filecache', 'blockcache'] | None
How to buffer, e.g.
"filecache","blockcache", orNone. Defaults toNone.Warning
Nonemight cause too many requests to be sent to the server!
- radius_of_influence: Annotated[int, Ge(ge=0)]
An integer which marks the search radius (in meters) for neighbouring data points. Defaults to
20_000.
- remove_file_if_exists: bool
A boolean to determine whether to removes the output file first if it already exists.
This might save us from some issues regrading files being overwritten and corrupted.