Access Modality#

After constructing a multi-modal Document or DocumentArray, you can directly access your custom-defined modalities by their names.

Return types

Accessing a modality always returns a Document or a DocumentArray, instead of directly returning the data stored in them. This ensures maximum flexibility.

To learn more about the rationale behind this design, read our blog post.

Document level access#

Even after conversion to Document, custom-defined modalities can be accessed by their names, returning a Document or, for list-types, a DocumentArray:

from docarray import Document, dataclass
from typing import List
from docarray.typing import Image, Text


@dataclass
class MMDoc:
    banner: Image
    paragraphs: List[Text]


doc = Document(
    MMDoc(
        banner='test.jpg',
        paragraphs=['This is a paragraph', 'this is another paragraph'],
    )
)

print(doc.banner)  # returns a Document with the test.jpg image tensor
print(doc.banner.tensor)  # returns the image tensor directly
print(doc.paragraphs)  # returns a DocumentArray with one Document per paragraph
print(doc.paragraphs.texts)  # returns the paragraph texts directly

<Document ('id', 'parent_id', 'granularity', 'tensor', 'mime_type', 'uri', '_metadata', 'modality') at eaccc9c573c07f13b7ee8aa04a83c9eb>
[[[255 255 255]
  [255 255 255]
  [255 255 255]]]
<DocumentArray (length=2) at 140540453339296>
['This is a paragraph', 'this is another paragraph']

The returned Documents (or DocumentArrays) can be directly used to store additional information about the modality:

import torch, torchvision

model = torchvision.models.resnet50(pretrained=True)
banner_tensor = torch.tensor(doc.banner.tensor).transpose(0, 2).unsqueeze(0)
doc.banner.embedding = model(banner_tensor)

Select nested fields#

Nested fields, coming from nested dataclasses, can be accessed by selecting the outer field, and then selecting the inner field:

from docarray import dataclass, Document
from docarray.typing import Image, Text


@dataclass
class InnerDoc:
    description: Text
    banner: Image = 'test-1.jpeg'


@dataclass
class OuterDoc:
    feature_image: InnerDoc
    website: str = 'https://docarray.jina.ai'


doc = Document(OuterDoc(feature_image=InnerDoc(description='this is a description')))
print(
    doc.feature_image.description
)  # returns a Document with 'this is a description' as text
print(doc.feature_image.description.text)  # returns 'this is a description'

<Document ('id', 'parent_id', 'granularity', 'text', 'modality') at 94de1bef2fc8010ff4fe86791a671c44>
this is a description

DocumentArray-level access#

Custom modalities can be accessed through the familiar selector syntax.

Like all selectors, a selector for a multi-modal attribute begins with @. The fact that a custom modality is accessed is denoted through the addition of a ., coming before a list of modality names:

@.[field1, field2, ...]
^^ ~~~~~~  ~~~~~~
||   |       |
||   |-------|
||       |
||       | --- dataclass field (modality name)
||
|| ------ start of modality selector
|
| ---- start of selector

Selecting a modality from a DocumentArray always results in another DocumentArray:

from docarray import Document, dataclass, DocumentArray
from docarray.typing import Image, Text


@dataclass
class MMDoc:
    banner: Image
    description: Text


da = DocumentArray(
    [
        Document(
            MMDoc(banner='test-1.jpeg', description='this is a test white-noise image')
        ),
        Document(
            MMDoc(banner='test-2.jpeg', description='another test image but in black')
        ),
    ]
)

da.summary()

Select Documents corresponding to .banner

da['@.[banner]']

Select Documents corresponding to .description

da['@.[description]']

Select multiple fields#

You can select multiple fields by including them in the square brackets, separated by commas ,:

da['@.[description, banner]']

Output

╭───────────────────────────── Documents Summary ──────────────────────────────╮
│                                                                              │
│   Length                        4                                            │
│   Homogenous Documents          False                                        │
│   2 Documents have attributes   ('id', 'parent_id', 'granularity', 'text',   │
│                                 'modality')                                  │
│   2 Documents have attributes   ('id', 'parent_id', 'granularity',           │
│                                 'tensor', 'mime_type', 'uri', 'modality')    │
│   Multimodal dataclass          False                                        │
│                                                                              │
╰──────────────────────────────────────────────────────────────────────────────╯
╭───────────────────────────── Attributes Summary ─────────────────────────────╮
│                                                                              │
│   Attribute     Data type                 #Unique values   Has empty value   │
│  ──────────────────────────────────────────────────────────────────────────  │
│   granularity   ('int',)                  1                False             │
│   id            ('str',)                  4                False             │
│   mime_type     ('str',)                  2                False             │
│   modality      ('str',)                  2                False             │
│   parent_id     ('str',)                  2                False             │
│   tensor        ('ndarray', 'NoneType')   4                True              │
│   text          ('str',)                  3                False             │
│   uri           ('str',)                  3                False             │
│                                                                              │
╰──────────────────────────────────────────────────────────────────────────────╯

Slice dataclass objects#

Remember each dataclass object corresponds to one Document object. You can first slice the DocumentArray before selecting the field. Specifically, you can do:

@r[slice].[field1, field2, ...]

where slice can be any slice syntax accepted in Access Documents.

For example, to select the sub-Document .banner for only the first Document:

da['@r[:1].[banner]']

Slice `List[Type]` fields#

If a field is annotated as a List of DocArray types, it creates a DocumentArray. You can add slicing after the field selector to further restrict the number of sub-Documents.

from typing import List

from docarray import Document, dataclass, DocumentArray
from docarray.typing import Image, Text


@dataclass
class MMDoc:
    banner: List[Image]
    description: Text


da = DocumentArray(
    [
        Document(
            MMDoc(
                banner=['test-1.jpeg', 'test-2.jpeg'],
                description='this is a test white image',
            )
        ),
        Document(
            MMDoc(
                banner=['test-1.jpeg', 'test-2.jpeg'],
                description='another test image but in black',
            )
        ),
    ]
)

for d in da['@.[banner][:1]']:
    print(d.uri)

test-1.jpeg
test-1.jpeg

To summarize, slicing can be put in front of the field selector to restrict the number of dataclass objects, or after the field selector to restrict the number of sub-Documents.

Select nested fields#

A field can be annotated as a DocArray dataclass. In this case, the nested structure from the latter dataclass is copied to the former’s .chunks. To select the deeply nested field, you can simply follow:

@.[field1, field2, ...].[nested_field1, nested_field1, ...]

For example:

from docarray import dataclass, Document, DocumentArray
from docarray.typing import Image, Text


@dataclass
class BannerDoc:
    description: Text = 'this is a test empty image'
    banner: Image = 'test-1.jpeg'


@dataclass
class ColumnArticle:
    featured: BannerDoc
    description: Text = 'this is a column article'
    website: str = 'https://docarray.jina.ai'


c1 = ColumnArticle(featured=BannerDoc(banner='test-1.jpeg'))
c2 = ColumnArticle(featured=BannerDoc(banner='test-2.jpeg'))

da = DocumentArray([Document(c1), Document(c2)])

for d in da['@.[featured].[banner]']:
    print(d.uri)

test-1.jpeg
test-2.jpeg

Access Modality#

Document level access#

Select nested fields#

DocumentArray-level access#

Select multiple fields#

Slice dataclass objects#

Slice List[Type] fields#

Select nested fields#

Slice `List[Type]` fields#