{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "6e8a319c-087b-435e-8cbd-1f4e593b728b",
   "metadata": {},
   "source": [
    "# Edit Grid"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "d033ad47-b6b3-46b1-84ef-8a7a9c40fe18",
   "metadata": {
    "editable": true,
    "slideshow": {
     "slide_type": ""
    },
    "tags": [
     "remove-cell"
    ]
   },
   "outputs": [],
   "source": [
    "%run __init__.py"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "dcd2cbe9-ec3e-47d2-b41c-391b606cdf42",
   "metadata": {
    "editable": true,
    "slideshow": {
     "slide_type": ""
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "import typing as ty\n",
    "from pydantic import BaseModel, Field, RootModel\n",
    "from ipyautoui import AutoUi\n",
    "\n",
    "\n",
    "class DataFrameCols(BaseModel):\n",
    "    string: str = Field(\"string\", column_width=100)\n",
    "    integer: int = Field(1, column_width=80)\n",
    "    floater: float = Field(3.1415, column_width=70, global_decimal_places=3)\n",
    "    something_else: float = Field(324, column_width=100)\n",
    "    nullable_string: ty.Optional[str] = None\n",
    "\n",
    "\n",
    "class TestDataFrame(BaseModel):\n",
    "    \"\"\"a description of TestDataFrame\"\"\"\n",
    "    a: str\n",
    "    df: ty.List[DataFrameCols] = Field([DataFrameCols().model_dump(mode=\"json\")], format=\"dataframe\")\n",
    "       "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "5c4ac8e3-0518-40cf-92e7-0a7845c6bc96",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "6011807c4ed442d98219e877a12207f4",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "EditGrid(children=(HBox(children=(HTML(value=''), HTML(value=''))), VBox(children=(CrudButtonBar(children=(Tog…"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from ipyautoui.custom.editgrid import EditGrid\n",
    "class TestDataFrame(RootModel):\n",
    "    \"\"\"a description of TestDataFrame\"\"\"\n",
    "\n",
    "    root: ty.List[DataFrameCols] = Field(format=\"dataframe\")\n",
    "egrid = EditGrid(schema=TestDataFrame)\n",
    "egrid"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "58910e94-7696-42dc-b34f-567ffe3d9846",
   "metadata": {},
   "outputs": [],
   "source": [
    "egrid.value =  [\n",
    "        {\n",
    "            \"string\": \"important string\",\n",
    "            \"integer\": 1,\n",
    "            \"floater\": 3.14,\n",
    "            \"something_else\": 324,\n",
    "        },\n",
    "        {\"string\": \"update\", \"integer\": 4, \"floater\": 3.12344, \"something_else\": 123},\n",
    "        {\"string\": \"evening\", \"integer\": 5, \"floater\": 3.14, \"something_else\": 235},\n",
    "        {\"string\": \"morning\", \"integer\": 5, \"floater\": 3.14, \"something_else\": 12},\n",
    "        {\"string\": \"number\", \"integer\": 3, \"floater\": 3.14, \"something_else\": 123},\n",
    "    ]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "6f11050a-db77-419a-b4d3-6e590ec4d62e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "5056a077bd6d45ccaf96588b0151f05f",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "EditGrid(children=(HBox(children=(HTML(value='<b>The Wonderful Edit Grid Application</b>'), HTML(value='<i>Use…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from pydantic import RootModel\n",
    "\n",
    "# Test: EditGrid instance with multi-indexing.\n",
    "AUTO_GRID_DEFAULT_VALUE = [\n",
    "    {\n",
    "        \"string\": \"important string\",\n",
    "        \"integer\": 1,\n",
    "        \"floater\": 3.14,\n",
    "    },\n",
    "]\n",
    "AUTO_GRID_DEFAULT_VALUE = AUTO_GRID_DEFAULT_VALUE * 4\n",
    "AUTO_GRID_DEFAULT_VALUE = AUTO_GRID_DEFAULT_VALUE + [\n",
    "    {\n",
    "        \"string\": None,\n",
    "        \"integer\": None,\n",
    "        \"floater\": None,\n",
    "    },\n",
    "]\n",
    "\n",
    "class DataFrameCols(BaseModel):\n",
    "    string: ty.Optional[str] = Field(\n",
    "        \"string\", json_schema_extra=dict(column_width=400, section=\"a\")\n",
    "    )\n",
    "    integer: ty.Optional[int] = Field(\n",
    "        1, json_schema_extra=dict(column_width=80, section=\"a\")\n",
    "    )\n",
    "    floater: ty.Optional[float] = Field(\n",
    "        None, json_schema_extra=dict(column_width=70, section=\"b\")\n",
    "    )\n",
    "\n",
    "class TestDataFrame(RootModel):\n",
    "    \"\"\"a description of TestDataFrame\"\"\"\n",
    "\n",
    "    root: ty.List[DataFrameCols] = Field(\n",
    "        default=AUTO_GRID_DEFAULT_VALUE,\n",
    "        json_schema_extra=dict(\n",
    "            format=\"dataframe\", datagrid_index_name=(\"section\", \"title\")\n",
    "        ),\n",
    "    )\n",
    "\n",
    "title = \"The Wonderful Edit Grid Application\"\n",
    "description = \"Useful for all editing purposes whatever they may be 👍\"\n",
    "editgrid = EditGrid(\n",
    "    schema=TestDataFrame,\n",
    "    title=title,\n",
    "    description=description,\n",
    "    ui_add=None,\n",
    "    ui_edit=None,\n",
    "    warn_on_delete=True,\n",
    "    show_copy_dialogue=False,\n",
    "    close_crud_dialogue_on_action=False,\n",
    "    global_decimal_places=1,\n",
    "    column_width={\"String\": 400},\n",
    ")\n",
    "editgrid.observe(lambda c: print(\"_value changed\"), \"_value\")\n",
    "display(editgrid)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "e2f1fd8e-0099-4a17-a8e9-545b2be1db67",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "2a5a4f25cca849f98e3b7de81693ee02",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HTML(value='<code>None</code>')"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import ipywidgets as w\n",
    "w.HTML(\"<code>None</code>\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "303d4de2-5c58-4262-ada0-41c5b7958785",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "2471d1f41a1241aba0a02f7144c267b7",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "EditGrid(children=(HBox(children=(HTML(value=''), HTML(value=''))), VBox(children=(CrudButtonBar(children=(Tog…"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "class TestProperties(BaseModel):\n",
    "    string: str\n",
    "    nullable_string: ty.Optional[str] = None\n",
    "    floater: float = 1.5\n",
    "    inty: int = 1\n",
    "\n",
    "\n",
    "class TestGridSchema(RootModel):\n",
    "    \"\"\"no default\"\"\"\n",
    "\n",
    "    root: ty.List[TestProperties] = Field(\n",
    "        [TestProperties(string=\"string\").model_dump()],\n",
    "    )\n",
    "\n",
    "egrid = EditGrid(\n",
    "        schema=TestGridSchema,\n",
    "        value=[{\"string\": \"test2\",\"nullable_string\":None, \"floater\": 2.2, \"inty\": 1}],\n",
    "    )\n",
    "egrid"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "85032563-8cf4-4b0d-93c6-aa2cd875e7cd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "4eb47f03dcca451ba3559b98dafc14eb",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "AutoObjectForm(children=(HBox(children=(ToggleButton(value=False, icon='window-maximize', layout=Layout(width=…"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from ipyautoui.autoobject import AutoObjectForm\n",
    "from ipyautoui.demo_schemas import CoreIpywidgets\n",
    "ui = AutoObjectForm.from_pydantic_model(CoreIpywidgets)\n",
    "ui"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3426e3da-306c-4a28-a848-a86fe7aa06e0",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Row Validation (WIP)\n",
    "\n",
    "from pydantic import RootModel\n",
    "\n",
    "\n",
    "class Sub(BaseModel):\n",
    "    a: str = \"a\"\n",
    "    b: int = 1\n",
    "\n",
    "\n",
    "class Table(RootModel):\n",
    "    root: list[Sub]\n",
    "\n",
    "\n",
    "class NestedTable(BaseModel):\n",
    "    table: list[Sub]\n",
    "\n",
    "\n",
    "# for simple root tables it is simple to extract the pydantic model for the row\n",
    "RowSchema = Table.__pydantic_core_schema__[\"schema\"][\"items_schema\"][\"cls\"]\n",
    "print(RowSchema)\n",
    "\n",
    "# more difficult for nested rows\n",
    "NestedRowSchema = NestedTable.__pydantic_core_schema__[\"schema\"][\"fields\"][\"table\"][\n",
    "    \"schema\"\n",
    "][\"items_schema\"][\"cls\"]\n",
    "print(NestedRowSchema)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6e3efbd4-602c-42ee-95ae-72e07cb25b17",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}