Fluent Interface#
Documents provide a simple fluent interface that let you process (often preprocess) a Document object by chaining methods. For example to read an image file as numpy.ndarray
, resize it, normalize it and then store it to another file:
from docarray import Document
d = (
Document(uri='apple.png')
.load_uri_to_image_tensor()
.set_image_tensor_shape((64, 64))
.set_image_tensor_normalization()
.save_image_tensor_to_file('apple1.png')
)
Note that chaining methods always modifies the original Document in-place. That means the above example is equivalent to:
from docarray import Document
d = Document(uri='apple.png')
(
d.load_uri_to_image_tensor()
.set_image_tensor_shape((64, 64))
.set_image_tensor_normalization()
.save_image_tensor_to_file('apple1.png')
)
Methods#
All the following methods can be chained.
BlobData#
Provide helper functions for Document
to handle binary data.
ImageData#
Provide helper functions for Document
to support image data.
Convert#
Provide helper functions for Document
to support conversion between tensor
, text
and blob
.
ContentProperty#
Provide helper functions for Document
to allow universal content property access.
TextData#
Provide helper functions for Document
to support text data.
SingletonSugar#
Provide sugary syntax for Document
by inheriting methods from DocumentArray
.
FeatureHash#
Provide helper functions for feature hashing.
Porting#
Provide helper functions for Document
to convert between serialization types.
Protobuf#
Pydantic#
Provide helper functions to convert to/from a Pydantic model.
Strawberry#
Provide helper functions to convert to/from a Strawberry model.
AudioData#
Provide helper functions for Document
to support audio data.
MeshData#
Provide helper functions for Document
to support 3D mesh data and point cloud.
VideoData#
Provide helper functions for Document
to support video data.
UriFile#
Provide helper functions for Document
to dump content to a file.