Numpy writer

numpy_writer

NumPyWriter dataclass

NumPyWriter(
    root_directory: pathlib.Path = dataclasses.field(),
    filename_format: str = dataclasses.field(),
    create_dirs: bool = True,
    existing_file_mode: imgtools.io.writers.abstract_base_writer.ExistingFileMode = imgtools.io.writers.abstract_base_writer.ExistingFileMode.FAIL,
    sanitize_filenames: bool = True,
    context: typing.Dict[str, typing.Any] = dict(),
    overwrite_index: bool = False,
    absolute_paths_in_index: bool = False,
    index_filename: typing.Optional[str] = None,
    compressed: bool = True,
)

Bases: imgtools.io.writers.abstract_base_writer.AbstractBaseWriter[numpy.ndarray | SimpleITK.Image | dict[str, numpy.ndarray | SimpleITK.Image]]

Write data to NumPy files with metadata support for SimpleITK images.

This writer supports saving: - A single NumPy array or SimpleITK image with metadata. - Multiple arrays or images as a dictionary of key-value pairs.

Methods:

Name	Description
add_to_index	Add or update an entry in the shared CSV index file using IndexWriter.
clear_context	Clear the context for the writer.
preview_path	Pre-checking file existence and setting up the writer context.
resolve_path	Generate a file path based on the filename format, subject ID, and
save	Abstract method for writing data. Must be implemented by subclasses.
set_context	Set the context for the writer.

index_file property

index_file: pathlib.Path

Get the path to the index CSV file.

add_to_index

add_to_index(
    path: pathlib.Path,
    include_all_context: bool = True,
    filepath_column: str = "path",
    replace_existing: bool = False,
    merge_columns: bool = True,
) -> None

Add or update an entry in the shared CSV index file using IndexWriter.

What It Does:

• Logs the file's path and associated context variables to a shared CSV index file.
• Uses IndexWriter to safely handle concurrent writes and schema evolution.

When to Use It:

• Use this method to maintain a centralized record of saved files for auditing or debugging.

Relevant Writer Parameters

• The index_filename parameter allows you to specify a custom filename for the index file. By default, it will be named after the root_directory with _index.csv appended.

• If the index file already exists in the root directory, it will overwrite it unless the overwrite_index parameter is set to False.

• The absolute_paths_in_index parameter controls whether the paths in the index file are absolute or relative to the root_directory, with False being the default.

Parameters:

Name	Type	Description	Default
path	pathlib.Path	The file path being saved.	required
include_all_context	bool	If True, write existing context variables passed into writer and the additional context to the CSV. If False, determines only the context keys parsed from the filename_format (excludes all other context variables, and unused context keys).	True
filepath_column	str	The name of the column to store the file path. Defaults to "path".	"path"
replace_existing	bool	If True, checks if the file path already exists in the index and replaces it.	False
merge_columns	bool	If True, allows schema evolution by merging new columns with existing ones. Set to False for strict schema enforcement (will raise an error if schemas don't match).	True

Source code in src/imgtools/io/writers/abstract_base_writer.py

def add_to_index(
    self,
    path: Path,
    include_all_context: bool = True,
    filepath_column: str = "path",
    replace_existing: bool = False,
    merge_columns: bool = True,
) -> None:
    """
    Add or update an entry in the shared CSV index file using IndexWriter.

    **What It Does**:

    - Logs the file's path and associated context variables to a
        shared CSV index file.
    - Uses IndexWriter to safely handle concurrent writes and schema evolution.

    **When to Use It**:

    - Use this method to maintain a centralized record of saved
    files for auditing or debugging.

    **Relevant Writer Parameters**
    ------------------------------

    - The `index_filename` parameter allows you to specify a
    custom filename for the index file.
    By default, it will be named after the `root_directory`
    with `_index.csv` appended.

    - If the index file already exists in the root directory,
    it will overwrite it unless
    the `overwrite_index` parameter is set to `False`.

    - The `absolute_paths_in_index` parameter controls whether
    the paths in the index file are absolute or relative to the
    `root_directory`, with `False` being the default.

    Parameters
    ----------
    path : Path
        The file path being saved.
    include_all_context : bool, default=True
        If True, write existing context variables passed into writer and
        the additional context to the CSV.
        If False, determines only the context keys parsed from the
        `filename_format` (excludes all other context variables, and
        unused context keys).
    filepath_column : str, default="path"
        The name of the column to store the file path. Defaults to "path".
    replace_existing : bool, default=False
        If True, checks if the file path already exists in the index and
        replaces it.
    merge_columns : bool, default=True
        If True, allows schema evolution by merging new columns with existing ones.
        Set to False for strict schema enforcement (will raise an error if schemas don't match).
    """
    # Prepare context data
    context = {}

    # Determine which context to include
    if include_all_context:
        context = self.context
    else:
        # Only include keys from the pattern resolver
        context = {
            k: v
            for k, v in self.context.items()
            if k in self.pattern_resolver.keys
        }

    # Resolve the path according to configuration
    resolved_path = (
        path.resolve().absolute()
        if self.absolute_paths_in_index
        else path.relative_to(self.root_directory)
    )

    # Write the entry to the index file
    try:
        self._index_writer.write_entry(
            path=resolved_path,
            context=context,
            filepath_column=filepath_column,
            replace_existing=replace_existing,
            merge_columns=merge_columns,
        )
    except (
        IndexSchemaMismatchError,
        IndexReadError,
        IndexWriteError,
        IndexWriterError,
    ) as e:
        logger.exception(
            f"Error writing to index file {self.index_file}.", error=e
        )
        raise WriterIndexError(
            f"Error writing to index file {self.index_file}.",
            writer=self,
        ) from e
    except Exception as general_e:
        raise general_e

clear_context

clear_context() -> None

Clear the context for the writer.

Useful for resetting the context after using preview_path or save and want to make sure that the context is empty for new operations.

Source code in src/imgtools/io/writers/abstract_base_writer.py

def clear_context(self) -> None:
    """
    Clear the context for the writer.

    Useful for resetting the context after using `preview_path` or `save`
    and want to make sure that the context is empty for new operations.
    """
    self.context.clear()

preview_path

preview_path(
    **kwargs: object,
) -> typing.Optional[pathlib.Path]

Pre-checking file existence and setting up the writer context.

Meant to be used by users to skip expensive computations if a file already exists and you dont want to overwrite it. Only difference between this and resolve_path is that this method does not return the path if the file exists and the mode is set to SKIP.

This is because the .save() method should be able to return the path even if the file exists.

What It Does:

• Pre-checks the file path based on context without writing the file.
• Returns None if the file exists and the mode is set to SKIP.
• Raises a FileExistsError if the mode is set to FAIL.
• An added benefit of using preview_path is that it automatically caches the context variables for future use, and save() can be called without passing in the context variables again.

Examples:

Main idea here is to allow users to save computation if they choose to skip existing files.

i.e. if file exists and mode is SKIP, we return None, so the user can skip the computation.

>>> if nifti_writer.preview_path(subject="math", name="test") is None:
>>>     logger.info("File already exists. Skipping computation.")
>>>     continue # could be `break` or `return` depending on the use case

if the mode is FAIL, we raise an error if the file exists, so user doesnt have to perform expensive computation only to fail when saving.

Useful Feature

The context is saved in the instance, so running .save() after this will use the same context, and user can optionally update the context with new values passed to .save().

>>> if path := writer.preview_path(subject="math", name="test"):
>>>     ... # do some expensive computation to generate the data
>>>     writer.save(data)

.save() automatically uses the context for subject and name we passed to preview_path

Parameters:

Name	Type	Description	Default
**kwargs	typing.Any	Parameters for resolving the filename and validating existence.	{}

Returns:

Type	Description
pathlib.Path | None	If the file exists and the mode is SKIP, returns None. if the file exists and the mode is FAIL, raises a FileExistsError. If the file exists and the mode is OVERWRITE, logs a debug message and returns the path.

Source code in src/imgtools/io/writers/abstract_base_writer.py

def preview_path(self, **kwargs: object) -> Optional[Path]:
    """
    Pre-checking file existence and setting up the writer context.

    Meant to be used by users to skip expensive computations if a file
    already exists and you dont want to overwrite it.
    Only difference between this and resolve_path is that this method
    does not return the path if the file exists and the mode is set to
    `SKIP`.

    This is because the `.save()` method should be able to return
    the path even if the file exists.

    **What It Does**:

    - Pre-checks the file path based on context without writing the file.
    - Returns `None` if the file exists and the mode is set to `SKIP`.
    - Raises a `FileExistsError` if the mode is set to `FAIL`.
    - An added benefit of using `preview_path` is that it automatically
    caches the context variables for future use, and `save()` can be called
    without passing in the context variables again.

    Examples
    --------

    Main idea here is to allow users to save computation if they choose to
    skip existing files.

    i.e. if file exists and mode is **`SKIP`**, we return
    `None`, so the user can skip the computation.
    >>> if nifti_writer.preview_path(subject="math", name="test") is None:
    >>>     logger.info("File already exists. Skipping computation.")
    >>>     continue # could be `break` or `return` depending on the use case

    if the mode is **`FAIL`**, we raise an error if the file exists, so user
    doesnt have to perform expensive computation only to fail when saving.

    **Useful Feature**
    ----------------------
    The context is saved in the instance, so running
    `.save()` after this will use the same context, and user can optionally
    update the context with new values passed to `.save()`.

    ```python
    >>> if path := writer.preview_path(subject="math", name="test"):
    >>>     ... # do some expensive computation to generate the data
    >>>     writer.save(data)
    ```
    `.save()` automatically uses the context for `subject` and `name` we
    passed to `preview_path`

    Parameters
    ----------
    **kwargs : Any
        Parameters for resolving the filename and validating existence.

    Returns
    ------
    Path | None
        If the file exists and the mode is `SKIP`, returns `None`. if the file
        exists and the mode is FAIL, raises a `FileExistsError`. If the file
        exists and the mode is OVERWRITE, logs a debug message and returns
        the path.

    Raises
    ------
    FileExistsError
        If the file exists and the mode is FAIL.
    """
    out_path = self._generate_path(**kwargs)

    if not out_path.exists():
        return out_path
    elif out_path.is_dir():
        msg = f"Path {out_path} is already a directory that exists."
        msg += " Use a different filename format or context to avoid this."
        raise IsADirectoryError(msg)

    match self.existing_file_mode:
        case ExistingFileMode.SKIP:
            return None
        case ExistingFileMode.FAIL:
            msg = f"File {out_path} already exists."
            raise FileExistsError(msg)
        case ExistingFileMode.OVERWRITE:
            logger.debug(
                f"File {out_path} exists. Deleting and overwriting."
            )
            out_path.unlink()

    return out_path

resolve_path

resolve_path(**kwargs: object) -> pathlib.Path

Generate a file path based on the filename format, subject ID, and additional parameters.

Meant to be used by developers when creating a new writer class and used internally by the save method.

What It Does:

• Dynamically generates a file path based on the provided context and filename format.

When to Use It:

• This method is meant to be used in the save method to determine the file’s target location, but can also be used by external code to generate paths.
• It ensures you’re working with a valid path and can handle file existence scenarios.
• Only raises FileExistsError if the file already exists and the mode is set to FAIL.

Parameters:

Name	Type	Description	Default
**kwargs	typing.Any	Parameters for resolving the filename and validating existence.	{}

Returns:

Name	Type	Description
resolved_path	pathlib.Path	The resolved path for the file.

Source code in src/imgtools/io/writers/abstract_base_writer.py

def resolve_path(self, **kwargs: object) -> Path:
    """
    Generate a file path based on the filename format, subject ID, and
    additional parameters.

    Meant to be used by developers when creating a new writer class
    and used internally by the `save` method.

    **What It Does**:

    - Dynamically generates a file path based on the provided context and
    filename format.

    **When to Use It**:

    - This method is meant to be used in the `save` method to determine the
    file’s target location, but can also be used by external code to
    generate paths.
    - It ensures you’re working with a valid path and can handle file
    existence scenarios.
    - Only raises `FileExistsError` if the file already exists and the mode
    is set to `FAIL`.

    Parameters
    ----------
    **kwargs : Any
        Parameters for resolving the filename and validating existence.

    Returns
    -------
    resolved_path: Path
        The resolved path for the file.

    Raises
    ------
    FileExistsError
        If the file already exists and the mode is set to FAIL.
    """
    out_path = self._generate_path(**kwargs)
    if not out_path.exists():
        if self.create_dirs:
            self._ensure_directory_exists(out_path.parent)
        # should we raise this error here?
        # elif not out_path.parent.exists():
        #     msg = f"Directory {out_path.parent} does not exist."
        #     raise DirectoryNotFoundError(msg)
        return out_path
    match self.existing_file_mode:
        case ExistingFileMode.SKIP:
            return out_path
        case ExistingFileMode.FAIL:
            msg = f"File {out_path} already exists."
            raise FileExistsError(msg)
        case ExistingFileMode.OVERWRITE:
            logger.debug(f"Deleting existing {out_path} and overwriting.")
            out_path.unlink()
            return out_path

save

save(
    data: (
        numpy.ndarray
        | SimpleITK.Image
        | dict[str, numpy.ndarray | SimpleITK.Image]
    ),
    **kwargs: object
) -> pathlib.Path

Abstract method for writing data. Must be implemented by subclasses.

Can use resolve_path() to get the output path and write the data to it.

For efficiency, use self.context to access the context variables, updating them with the kwargs passed from the save method.

This will help simplify repeated saves with similar context variables.

Save data to a NumPy file with optional metadata.

Parameters:

Name	Type	Description	Default
data	numpy.ndarray | SimpleITK.Image | dict[str, numpy.ndarray | SimpleITK.Image]	The data to save. Can be a single image or a dictionary of images.	required

Returns:

Type	Description
pathlib.Path	The path to the saved file.

Source code in src/imgtools/io/writers/numpy_writer.py

def save(
    self,
    data: np.ndarray | sitk.Image | dict[str, np.ndarray | sitk.Image],
    **kwargs: object,
) -> Path:
    """Save data to a NumPy file with optional metadata.

    Parameters
    ----------
    data : np.ndarray | sitk.Image | dict[str, np.ndarray | sitk.Image]
        The data to save. Can be a single image or a dictionary of images.

    Returns
    -------
    Path
        The path to the saved file.

    Raises
    ------
    NumpyWriterValidationError
        If the input data is invalid or unsupported.
    """
    out_path = self.resolve_path(**kwargs)

    if isinstance(data, (np.ndarray, sitk.Image)):
        # Single image or array
        array, metadata = self._to_numpy(data)
        np.savez_compressed(out_path, image_array=array, **metadata)
    elif isinstance(data, dict):
        # Multiple images or arrays
        arrays = {}
        metadata = {}
        for key, value in data.items():
            array, meta = self._to_numpy(value)
            arrays[key] = array
            for meta_key, meta_value in meta.items():
                metadata[f"{key}_{meta_key}"] = meta_value
        if self.compressed:
            np.savez_compressed(
                out_path, allow_pickle=False, **arrays, **metadata
            )
        else:
            np.savez(out_path, allow_pickle=False, **arrays, **metadata)
    else:
        raise NumpyWriterValidationError(
            "Data must be a NumPy array, SimpleITK image, or a dictionary of these types."
        )

    self.add_to_index(
        out_path,
        include_all_context=True,
        filepath_column="path",
        replace_existing=True,
    )
    return out_path

set_context

set_context(**kwargs: object) -> None

Set the context for the writer.

Source code in src/imgtools/io/writers/abstract_base_writer.py

def set_context(self, **kwargs: object) -> None:
    """
    Set the context for the writer.
    """
    self.context.update(kwargs)

NumpyWriterError

Bases: Exception

Base exception for NumpyWriter errors.

NumpyWriterValidationError

Bases: imgtools.io.writers.numpy_writer.NumpyWriterError

Raised when validation of writer configuration fails.