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-32.52.0.tar.gz (140.0 kB view details)

Uploaded Source

Built Distribution

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

pydivkit-32.52.0-py3-none-any.whl (209.3 kB view details)

Uploaded Python 3

File details

Details for the file pydivkit-32.52.0.tar.gz.

File metadata

  • Download URL: pydivkit-32.52.0.tar.gz
  • Upload date:
  • Size: 140.0 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-32.52.0.tar.gz
Algorithm Hash digest
SHA256 55abb9e73cc6b327930eaf1daf234c56f84c2f3cd08d7fdd453c4ed345f5d6bd
MD5 3de8f85c918ae4f6885aa9327314198e
BLAKE2b-256 5b8292126ae0c7568d2d30c960740f1d748f8ee7b53c5accc42e461cc301635f

See more details on using hashes here.

File details

Details for the file pydivkit-32.52.0-py3-none-any.whl.

File metadata

  • Download URL: pydivkit-32.52.0-py3-none-any.whl
  • Upload date:
  • Size: 209.3 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-32.52.0-py3-none-any.whl
Algorithm Hash digest
SHA256 a601a7f4eb0b8a2b51a053eee7a81a3f1396458169cc89b624d374868cde88e2
MD5 f1fee09d8b0eaa26b162183dd62c3fe8
BLAKE2b-256 618195343c8d1743633932145a90590bc7b4313c0a31f5dbac2d971513a00fc8

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