Skip to main content

DivKit python library

Project description

PyDIVKit examples

This library is designed to work with DivKit with python.

Features:

  • Declarative and imperative DivKit blocks definition
  • Native Type-hints support
  • Complete object-oriented API
  • IDE type checks and suggestions

Object construction

The main idea is to provide a tool for creating blocks using Python objects.

import json
import pydivkit as dk

container = dk.DivContainer(
    items=[
        dk.DivGallery(
            items=[
                dk.DivText(text="Hello from pydivkit")
            ]
        )
    ]
)

print(json.dumps(container.dict(), indent=1))
# {
#  "type": "container",
#  "items": [
#   {
#    "type": "gallery",
#    "items": [
#     {
#      "type": "text",
#      "text": "Hello from pydivkit"
#     }
#    ]
#   }
#  ]
# }

Slider example

Following code is a rewritten slider example using pydivkit.

import pydivkit as dk


slider = dk.DivData(
    log_id="sample_card",
    states=[
        dk.DivDataState(
            state_id=0,
            div=dk.DivSlider(
                width=dk.DivMatchParentSize(),
                max_value=10,
                min_value=1,
                thumb_style=dk.DivShapeDrawable(
                    color="#00b300",
                    stroke=dk.DivStroke(
                        color="#ffffff",
                        width=3,
                    ),
                    shape=dk.DivRoundedRectangleShape(
                        item_width=dk.DivFixedSize(value=32),
                        item_height=dk.DivFixedSize(value=32),
                        corner_radius=dk.DivFixedSize(value=100)
                    ),
                ),
                track_active_style=dk.DivShapeDrawable(
                    color="#00b300",
                    shape=dk.DivRoundedRectangleShape(
                        item_height=dk.DivFixedSize(value=6)
                    )
                ),
                track_inactive_style=dk.DivShapeDrawable(
                    color="#20000000",
                    shape=dk.DivRoundedRectangleShape(
                        item_height=dk.DivFixedSize(value=6)
                    )
                )
            )
        )
    ]
)

This example might be serialised like this:

import json

print(json.dumps(slider.dict(), indent=1))
# {
#  "log_id": "sample_card",
#  "states": [
#   {
#    "div": {
#     "type": "slider",
#     "max_value": 10,
#     "min_value": 1,
#     "thumb_style": {
#      "type": "shape_drawable",
#      "color": "#00b300",
#      "shape": {
#       "type": "rounded_rectangle",
#       "corner_radius": {
#        "type": "fixed",
#        "value": 100
#       },
#       "item_height": {
#        "type": "fixed",
#        "value": 32
#       },
#       "item_width": {
#        "type": "fixed",
#        "value": 32
#       }
#      },
#      "stroke": {
#       "color": "#ffffff",
#       "width": 3
#      }
#     },
#     "track_active_style": {
#      "type": "shape_drawable",
#      "color": "#00b300",
#      "shape": {
#       "type": "rounded_rectangle",
#       "item_height": {
#        "type": "fixed",
#        "value": 6
#       }
#      }
#     },
#     "track_inactive_style": {
#      "type": "shape_drawable",
#      "color": "#20000000",
#      "shape": {
#       "type": "rounded_rectangle",
#       "item_height": {
#        "type": "fixed",
#        "value": 6
#       }
#      }
#     },
#     "width": {
#      "type": "match_parent"
#     }
#    },
#    "state_id": 0
#   }
#  ]
# }

Templating and DRY

Of course, manually building blocks from your code every time is boring. So, the first idea is to move the initialization of DivKit objects into functions.

# Naive DRY example which strictly non-recommended
import pydivkit as dk


def get_size(value: int = 32) -> dk.DivFixedSize:
    return dk.DivFixedSize(value=value)


def get_shape() -> dk.DivShape:
    return dk.DivShape(
        item_width=get_size(),
        item_height=get_size(),
        corner_radius=get_size(100)
    )

    
slider_shape = get_shape()

slider = dk.DivData(
    log_id="sample_card",
    states=[
        dk.DivDataState(
            # other arguments
            div=dk.DivSlider(
                thumb_style=dk.DivShapeDrawable(
                    shape=slider_shape,
                    # other arguments
                ),
                # other arguments
            )
        )
    ]
)

Looks a little better, but this approach doesn't scale well. To simplify layout and save traffic, DivKit has templates. This is a way to layout similar elements without having to declare the complete json, but just declare a template and use this many times in similar items.

PyDivKit supports defining templates through the inheritance.

Let's define an example card:

import json

import pydivkit as dk


class CategoriesItem(dk.DivContainer):
    """
    Class inherited from dk.DivContainer will have a template
    """

    # Special object for mark this fields a DivKit field in template
    icon_url: str = dk.Field()
    text: str = dk.Field()

    # Set defaults layout for in the template
    width = dk.DivWrapContentSize()
    background = [dk.DivSolidBackground(color="#f0f0f0")]
    content_alignment_vertical = dk.DivAlignmentVertical.CENTER
    orientation = dk.DivContainerOrientation.HORIZONTAL
    paddings = dk.DivEdgeInsets(left=12, right=12, top=10, bottom=10)
    border = dk.DivBorder(corner_radius=12)
    items = [
        dk.DivImage(
            width=dk.DivFixedSize(value=20),
            height=dk.DivFixedSize(value=20),
            margins=dk.DivEdgeInsets(right=6),

            # Special object Ref it's a reference for Field property
            image_url=dk.Ref(icon_url),
        ),
        dk.DivText(
            width=dk.DivWrapContentSize(),
            max_lines=1,

            # Special object Ref it's a reference for Field property
            text=dk.Ref(text),
        ),
    ]


BASE_URL = "https://leonardo.edadeal.io/dyn/re/segments/level1/96"


# So after class definition you might use all the `Field` marked property
# names as an argument.

gallery = dk.DivGallery(
    items=[
        CategoriesItem(
            text="Food", icon_url=f"{BASE_URL}/food.png",
        ),
        CategoriesItem(
            text="Alcohol", icon_url=f"{BASE_URL}/alcohol.png",
        ),
        CategoriesItem(
            text="Household", icon_url=f"{BASE_URL}/household.png",
        ),
    ]
)

print(json.dumps(dk.make_div(gallery), indent=1, ensure_ascii=False))
# {
#  "templates": {
#   "__main__.CategoriesItem": {
#    "type": "container",
#    "background": [
#     {
#      "type": "solid",
#      "color": "#f0f0f0"
#     }
#    ],
#    "border": {
#     "corner_radius": 12
#    },
#    "content_alignment_vertical": "center",
#    "items": [
#     {
#      "type": "image",
#      "height": {
#       "type": "fixed",
#       "value": 20
#      },
#      "$image_url": "icon_url",
#      "margins": {
#       "right": 6
#      },
#      "width": {
#       "type": "fixed",
#       "value": 20
#      }
#     },
#     {
#      "type": "text",
#      "max_lines": 1,
#      "$text": "text",
#      "width": {
#       "type": "wrap_content"
#      }
#     }
#    ],
#    "orientation": "horizontal",
#    "paddings": {
#     "bottom": 10,
#     "left": 12,
#     "right": 12,
#     "top": 10
#    },
#    "width": {
#     "type": "wrap_content"
#    }
#   }
#  },
#  "card": {
#   "log_id": "card",
#   "states": [
#    {
#     "div": {
#      "type": "gallery",
#      "items": [
#       {
#        "type": "__main__.CategoriesItem",
#        "icon_url": "https://leonardo.edadeal.io/dyn/re/segments/level1/96/food.png",
#        "text": "Food"
#       },
#       {
#        "type": "__main__.CategoriesItem",
#        "icon_url": "https://leonardo.edadeal.io/dyn/re/segments/level1/96/alcohol.png",
#        "text": "Alcohol"
#       },
#       {
#        "type": "__main__.CategoriesItem",
#        "icon_url": "https://leonardo.edadeal.io/dyn/re/segments/level1/96/household.png",
#        "text": "Household"
#       }
#      ]
#     },
#     "state_id": 0
#    }
#   ]
#  }
# }

Template names

By default, templates are collecting by the metaclass into shared storage when the class is declaring at import time, and have the format {module_name}.{class_name}.

The following example, sure will not occur in the wild, shows a warning if suddenly the names of the classes, and hence the templates, conflict.

import pydivkit as dk


class MyTemplate(dk.DivContainer):
    width = dk.DivWrapContentSize()


class MyTemplate(dk.DivContainer):
    pass

# RuntimeWarning: Template 'test.MyTemplate' already defined in 
# <class 'test.MyTemplate'> and will be replaced to <class 'test.MyTemplate'>

Also, if you do not want to show the structure of your project to the outside, or for some reason you need to make the example above clean, you can rename the template by declaring a special attribute __template_name__

import pydivkit as dk


class MyTemplate(dk.DivContainer):
    width = dk.DivWrapContentSize()

print(MyTemplate.template_name)
# >>> test.MyTemplate

class MyTemplate(dk.DivContainer):
    __template_name__ = "MyTemplate2"

print(MyTemplate.template_name)
# >>> MyTemplate2

Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pydivkit-32.53.0.tar.gz (140.7 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

pydivkit-32.53.0-py3-none-any.whl (210.0 kB view details)

Uploaded Python 3

File details

Details for the file pydivkit-32.53.0.tar.gz.

File metadata

  • Download URL: pydivkit-32.53.0.tar.gz
  • Upload date:
  • Size: 140.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.10.0 {"installer":{"name":"uv","version":"0.10.0","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"22.04","id":"jammy","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}

File hashes

Hashes for pydivkit-32.53.0.tar.gz
Algorithm Hash digest
SHA256 1220f448b9da206d0787200704afd629bfcc5238c813fe442866a0c35b3573cd
MD5 d0c667d2617191f49207db389f32264d
BLAKE2b-256 727d1dd646264a4c5cc24b94b9c4ad7f6402ed4e7925f4bb710180ec7c1f493d

See more details on using hashes here.

File details

Details for the file pydivkit-32.53.0-py3-none-any.whl.

File metadata

  • Download URL: pydivkit-32.53.0-py3-none-any.whl
  • Upload date:
  • Size: 210.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.10.0 {"installer":{"name":"uv","version":"0.10.0","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"22.04","id":"jammy","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}

File hashes

Hashes for pydivkit-32.53.0-py3-none-any.whl
Algorithm Hash digest
SHA256 41c75d52cdefc0dfa26cb32f2852ce409d9045776f623cf2e0962c1a72b0674a
MD5 79ff7ac8ea7f5f18974fedfa9055b646
BLAKE2b-256 c3d4f7efa6962355deb2ab31e1630c0211573ce03bb8e70f18221c80e5262ab1

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page