"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from IPython.display import IFrame\n",
"\n",
"IFrame(\n",
" width=\"600\",\n",
" height=\"500\",\n",
" sandbox=\"allow-same-origin allow-scripts allow-popups\",\n",
" frameborder=\"0\",\n",
" src=\"https://videos.koumoul.com/videos/embed/29d12ba2-f694-4659-8027-e9386692d8b5\",\n",
")"
]
},
{
"cell_type": "markdown",
"id": "b5dd1ae4-6a9e-4409-bea5-0fde7e8e97d5",
"metadata": {
"editable": true,
"slideshow": {
"slide_type": ""
},
"tags": []
},
"source": [
"```{note} vjsf uses __\"-\"__ in the schema keys for specifying formatting (e.g. \"x-display\")...\n",
"when you're using pydantic to make the schema, __\"-\"__ cannot be used field names, use __\"_\"__ instead (e.g. \"x_display\") and AutoVjsf does the conversion. \n",
"```"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "c8630081",
"metadata": {
"editable": true,
"slideshow": {
"slide_type": ""
},
"tags": []
},
"outputs": [],
"source": [
"from ipyautoui import AutoVjsf\n",
"import json\n",
"from pydantic import BaseModel, Field\n",
"from ipyautoui.constants import DIR_MODULE\n",
"from ipyautoui._utils import display_pydantic_json"
]
},
{
"cell_type": "markdown",
"id": "21a44310",
"metadata": {},
"source": [
"## Creating Simple Widget"
]
},
{
"cell_type": "markdown",
"id": "89a3984e",
"metadata": {},
"source": [
"So let's create a simple pydantic class. Here we have one text field."
]
},
{
"cell_type": "markdown",
"id": "7e1abb5b-f9c2-4f0c-bced-53944d88a8e1",
"metadata": {},
"source": [
"**ipyvuetify doesn't output to HTML when docs are being built so simply uncomment the code below when running in Binder**"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "b0cb559e",
"metadata": {
"tags": []
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"both a value and a path given. value will be used.\n"
]
},
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "c17569d2861746199d17094bd0291b24",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"AutoVjsf(children=(HBox(children=(ToggleButton(value=False, icon='code', layout=Layout(display='None', width='…"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# create a pydantic model (or a json-schema) defining the fields of interest\n",
"class AutoUiExample(BaseModel):\n",
" text: str = Field(default=\"Test\", description=\"This description is very important\")\n",
"\n",
"\n",
"import pathlib\n",
"\n",
"value = {\"text\": \"this is a value\"}\n",
"ui = AutoVjsf(schema=AutoUiExample, value=value, path=pathlib.Path(\"test.json\"))\n",
"display(ui) # uncomment"
]
},
{
"cell_type": "markdown",
"id": "9e97be5c",
"metadata": {
"tags": []
},
"source": [
"## Writing to JSON"
]
},
{
"cell_type": "markdown",
"id": "c6d93fb4",
"metadata": {},
"source": [
"Let's define the save location."
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "ce2e69e0",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Save Location is: test.simpleaui.json\n"
]
}
],
"source": [
"import pathlib\n",
"\n",
"save_path = pathlib.Path(\".\") / \"test.simpleaui.json\"\n",
"print(f\"Save Location is: {save_path}\")"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "b4c3a453",
"metadata": {
"editable": true,
"slideshow": {
"slide_type": ""
},
"tags": []
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"pydantic validation failed\n"
]
},
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "5ef60f29f9de47098fea87a815743458",
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"text/plain": [
"AutoRenderer(children=(HBox(children=(ToggleButton(value=False, icon='code', layout=Layout(display='None', wid…"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"ui.file(path=save_path)\n",
"AutoVjsfRenderer = AutoVjsf.create_autoui_renderer(\n",
" schema=AutoUiExample, fn_onsave=lambda: print(\"done\")\n",
")\n",
"ui_file = AutoVjsfRenderer(path=save_path)\n",
"\n",
"display(ui_file)"
]
},
{
"cell_type": "markdown",
"id": "925bb996",
"metadata": {},
"source": [
"### A more Complex Example Model"
]
},
{
"cell_type": "markdown",
"id": "a59a323d",
"metadata": {
"editable": true,
"slideshow": {
"slide_type": ""
},
"tags": []
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"source": [
"Let's look at a complete pydantic model producing all of the possible widgets. \n",
"within `import ipyautoui.demo_schemas` there is a class called `CoreIpywidgets` that outlines what is possible. \n",
"Explore the python file below."
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "7d401137-1716-444c-ac97-6afe4289d092",
"metadata": {
"editable": true,
"slideshow": {
"slide_type": ""
},
"tags": []
},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "713c9de1df1e4f7588aaa378b907e4b5",
"version_major": 2,
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]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
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],
"source": [
"from ipyautoui.demo_schemas import CoreIpywidgets\n",
"\n",
"ui = AutoVjsf(CoreIpywidgets)\n",
"ui.show_raw = True\n",
"ui"
]
},
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"text/markdown": "\n```python\n\"\"\"\nAn example schema definition that demonstrates the current capability of the AutoUi class\n\"\"\"\nimport typing\nfrom enum import Enum\nfrom pydantic import BaseModel, Field, conint, constr\nfrom pydantic.color import Color\nfrom datetime import datetime, date\nimport pathlib\nimport pandas as pd\nfrom pathlib import PurePosixPath\n\n# from ipyautoui.custom.modelrun import RunName\n\n\nclass Gender(str, Enum):\n male = \"male\"\n female = \"female\"\n other = \"other\"\n not_given = \"not_given\"\n\n\nclass NestedObject(BaseModel):\n \"\"\"description in docstring\"\"\"\n\n string1: str = Field(default=\"adsf\", description=\"a description about my string\")\n int_slider1: conint(ge=0, le=3) = 2\n int_text1: int = 1\n\n\nclass RecursiveNest(BaseModel):\n \"\"\"description in RecursiveNest docstring\"\"\"\n\n string1: str = Field(default=\"adsf\", description=\"a description about my string\")\n int_slider1: conint(ge=0, le=3) = 2\n int_text1: int = 1\n nested: NestedObject = Field(default=None)\n\n\nSTR_MARKDOWN = \"\"\"\nSee details here: [__commonmark__](https://commonmark.org/help/)\n\nor press the question mark button. \n\"\"\"\n\n\nclass TestAutoLogicSimple(BaseModel):\n \"\"\"this is a test UI form to demonstrate how pydantic class can be used to generate an ipywidget input form. \n only simple datatypes used (i.e. not lists/arrays or objects)\n \"\"\"\n\n string: str = Field(default=\"adsf\", description=\"a description about my string\")\n int_slider: conint(ge=0, le=3) = 2\n int_text: int = 1\n int_range_slider: tuple[int, int] = Field(default=(0, 3), ge=0, le=4) # check\n float_slider: float = Field(default=2.2, ge=0, le=3)\n float_text: float = 2.2\n float_range_slider: tuple[float, float] = Field(default=(0, 2.2), ge=0, le=3.5)\n checkbox: bool = True\n dropdown: Gender = None\n dropdown_simple: str = Field(default=\"asd\", enum=[\"asd\", \"asdf\"])\n combobox: str = Field(\n default=\"asd\", enum=[\"asd\", \"asdf\"], autoui=\"ipyautoui.autowidgets.Combobox\",\n )\n text: constr(min_length=0, max_length=20) = \"short text\"\n text_area: constr(min_length=0, max_length=800) = Field(\n \"long text \" * 50, description=\"long text field\"\n )\n markdown: str = Field(\n STR_MARKDOWN, description=\"markdown widget!\", format=\"markdown\"\n )\n # file_chooser: pathlib.Path = pathlib.Path(\".\") # TODO: serialisation / parsing round trip not working...\n\n\nclass TestTypesWithComplexSerialisation(BaseModel):\n \"\"\"all of these types need to be serialised to json and parsed back to objects upon reading...\"\"\"\n\n file_chooser: pathlib.Path = pathlib.Path(\n \".\"\n ) # TODO: serialisation / parsing round trip not working...\n date_picker: ty.Optional[\n date\n ] = date.today() # TODO: serialisation / parsing round trip not working...\n datetime_picker: ty.Optional[\n datetime\n ] = datetime.now() # TODO: update with ipywidgets-v8\n color_picker_ipywidgets: Color = \"#f5f595\"\n\n\nclass CoreIpywidgets(TestAutoLogicSimple):\n \"\"\"this is a test UI form to demonstrate how pydantic class can be used to generate an ipywidget input form\"\"\"\n\n complex_serialisation: TestTypesWithComplexSerialisation = Field(default=None)\n select_multiple_non_constrained: ty.List[Gender] = Field(\n default=[\"male\", \"female\"],\n description=\"select multiple, non-constrained, allows duplicates\",\n ) # TODO: make this work. requires handling the \"anyOf\" JSON link\n select_multiple_from_list: ty.List[str] = Field(\n default=[\"male\", \"female\"],\n enum=[\"male\", \"female\", \"other\", \"not_given\"],\n description=\"simple select multiple from list\",\n )\n select_multiple_search: ty.List[str] = Field(\n default=[\"male\", \"female\"],\n enum=[\"male\", \"female\", \"other\", \"not_given\"],\n autoui=\"ipyautoui.custom.multiselect_search.MultiSelectSearch\",\n )\n array: ty.List[str] = Field(default=[], max_items=5)\n objects_array: ty.List[NestedObject] = Field(default=[], max_items=5)\n # file_upload # TODO: how best to implement this? could auto-save to another location...\n run_name: str = Field(\n default=\"000-lean-description\", autoui=\"ipyautoui.autowidgets.RunName\", zfill=3,\n )\n datagrid: str = Field(\n default=pd.DataFrame.from_dict({\"test\": [0, 1], \"df\": [1, 2]}).to_json(),\n format=\"DataFrame\",\n )\n nested: NestedObject = Field(default=None)\n recursive_nest: RecursiveNest = Field(default=None)\n\n class Config:\n json_encoders = {PurePosixPath: str}\n\n\nclass TestObjects(BaseModel):\n string: str = Field(default=\"adsf\", description=\"a description about my string\")\n nested: NestedObject = Field(default=None)\n recursive_nest: RecursiveNest = Field(default=None)\n\n\nclass TestArrays(BaseModel):\n array_strings: ty.List[str] = Field(\n default=[\"f\", \"d\"], max_items=5, min_items=2\n )\n array_strings1: ty.List[str] = Field(default=[], max_length=5, min_length=2)\n array_objects: ty.List[NestedObject] = Field(default=[], max_items=5)\n # array_mixed: ty.List[ty.Union[NestedObject, str]] = Field(default=[], max_items=5)\n # TODO: do we want to support this?\n\n\nclass TestVjsf(BaseModel):\n objects_array_styled: ty.List[NestedObject] = Field(\n description=\"styled array, only works with AutoVjsf\",\n default=[],\n max_items=5,\n x_itemTitle=\"titleProp\",\n x_options={\"arrayItemCardProps\": {\"outlined\": True}},\n )\n color_picker_vjsf: str = Field(\n default=\"#f5f595\",\n format=\"hexcolor\",\n description='a color. \"format\" field is required to make vjsf work',\n )\n color_picker_vjsf_swatches: str = Field(\n \"#f5f595\",\n format=\"hexcolor\",\n description='a color. \"format\" field is required to make vjsf work',\n x_props={\n \"showSwatches\": True,\n \"hideCanvas\": True,\n \"hideInputs\": True,\n \"hideModeSwitch\": True,\n },\n )\n\n```",
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