{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "de1360fc-f524-4f7d-878a-202b762a000e",
   "metadata": {},
   "outputs": [],
   "source": [
    "%run ../src/ipyautoui/__init__.py\n",
    "%load_ext lab_black"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "5a531914-e287-4ef1-9896-c51a2937b375",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "' NOT YET IMPLEMENTED'"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\" not yet implemented\".upper()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "170ab4fa-63f5-40ce-bcf6-1724caa0cac2",
   "metadata": {},
   "source": [
    "# Validation - NOTE:  NOT YET IMPLEMENTED\n",
    "\n",
    "- jsonschema validation occurs on-change by default (TODO: implement!)\n",
    "    - review https://github.com/pydantic/pydantic-core\n",
    "- the top-level pydantic model can also be validated on request (slows things down...?)\n",
    "    - possible to implement recursive validation with pydantic? "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "3a6be2ea-a222-4b35-b4ca-4e391781e3c2",
   "metadata": {},
   "outputs": [
    {
     "ename": "ValidationError",
     "evalue": "'Invalid' is not of type 'number'\n\nFailed validating 'type' in schema['properties']['price']:\n    {'type': 'number'}\n\nOn instance['price']:\n    'Invalid'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mValidationError\u001b[0m                           Traceback (most recent call last)",
      "Input \u001b[0;32mIn [2]\u001b[0m, in \u001b[0;36m<cell line: 15>\u001b[0;34m()\u001b[0m\n\u001b[1;32m     12\u001b[0m \u001b[38;5;66;03m# If no exception is raised by validate(), the instance is valid.\u001b[39;00m\n\u001b[1;32m     13\u001b[0m validate(instance\u001b[38;5;241m=\u001b[39m{\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mname\u001b[39m\u001b[38;5;124m\"\u001b[39m : \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mEggs\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mprice\u001b[39m\u001b[38;5;124m\"\u001b[39m : \u001b[38;5;241m34.99\u001b[39m}, schema\u001b[38;5;241m=\u001b[39mschema)\n\u001b[0;32m---> 15\u001b[0m \u001b[43mvalidate\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m     16\u001b[0m \u001b[43m    \u001b[49m\u001b[43minstance\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m{\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mname\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m \u001b[49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mEggs\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mprice\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m \u001b[49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mInvalid\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m}\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mschema\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mschema\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m     17\u001b[0m \u001b[43m)\u001b[49m\n",
      "File \u001b[0;32m~/miniconda3/envs/ipyautoui-dev/lib/python3.9/site-packages/jsonschema/validators.py:1022\u001b[0m, in \u001b[0;36mvalidate\u001b[0;34m(instance, schema, cls, *args, **kwargs)\u001b[0m\n\u001b[1;32m   1020\u001b[0m error \u001b[38;5;241m=\u001b[39m exceptions\u001b[38;5;241m.\u001b[39mbest_match(validator\u001b[38;5;241m.\u001b[39miter_errors(instance))\n\u001b[1;32m   1021\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m error \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m-> 1022\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m error\n",
      "\u001b[0;31mValidationError\u001b[0m: 'Invalid' is not of type 'number'\n\nFailed validating 'type' in schema['properties']['price']:\n    {'type': 'number'}\n\nOn instance['price']:\n    'Invalid'"
     ]
    }
   ],
   "source": [
    "from jsonschema import validate, Draft202012Validator, ErrorTree\n",
    "\n",
    "# A sample schema, like what we'd get from json.load()\n",
    "schema = {\n",
    "    \"type\" : \"object\",\n",
    "    \"properties\" : {\n",
    "        \"price\" : {\"type\" : \"number\"},\n",
    "        \"name\" : {\"type\" : \"string\"},\n",
    "    },\n",
    "}\n",
    "\n",
    "# If no exception is raised by validate(), the instance is valid.\n",
    "validate(instance={\"name\" : \"Eggs\", \"price\" : 34.99}, schema=schema)\n",
    "\n",
    "validate(\n",
    "    instance={\"name\" : \"Eggs\", \"price\" : \"Invalid\"}, schema=schema,\n",
    ")      "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "32b78cb3-7b1c-4fc7-bb9a-17cd51ae4d50",
   "metadata": {},
   "outputs": [],
   "source": [
    "schema = {\n",
    "    \"items\": {\n",
    "        \"anyOf\": [{\"type\": \"string\", \"maxLength\": 2}, {\"type\": \"integer\", \"minimum\": 5}]\n",
    "    }\n",
    "}\n",
    "instance = [{}, 3, \"foo\"]\n",
    "v = Draft202012Validator(schema)\n",
    "errors = sorted(v.iter_errors(instance), key=lambda e: e.path)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "e39f8063-acb2-43aa-86a9-4a08d271550e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "35b949f30a5546168a865aa03577a4af",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(Button(disabled=True, icon='check', layout=Layout(height='25px', width='44px'), style=ButtonSty…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from ipyautoui.constants import TRUE_BUTTON_KWARGS, BUTTON_WIDTH_MIN, BUTTON_HEIGHT_MIN\n",
    "import ipyw as w\n",
    "\n",
    "BLANK_BUTTON_KWARGS = dict(\n",
    "    icon=\"times\",\n",
    "    style={\"button_color\": \"red\"},\n",
    "    layout={\"width\": BUTTON_WIDTH_MIN, \"height\": BUTTON_HEIGHT_MIN},\n",
    "    disabled=True,\n",
    ")\n",
    "\n",
    "BLANK_BUTTON_KWARGS = dict(\n",
    "    icon=\"check\",\n",
    "    style={\"button_color\": \"white\"},\n",
    "    layout={\"width\": BUTTON_WIDTH_MIN, \"height\": BUTTON_HEIGHT_MIN},\n",
    "    disabled=True,\n",
    ")\n",
    "w.HBox([w.Button(**BLANK_BUTTON_KWARGS), w.Text(\"asdfasdf\")])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "97a51b55-ddea-4af0-a37f-59f99a2553e0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0, 'type'], {} is not of type 'string'\n",
      "[1, 'type'], {} is not of type 'integer'\n",
      "[0, 'type'], 3 is not of type 'string'\n",
      "[1, 'minimum'], 3 is less than the minimum of 5\n",
      "[0, 'maxLength'], 'foo' is too long\n",
      "[1, 'type'], 'foo' is not of type 'integer'\n"
     ]
    }
   ],
   "source": [
    "for error in errors:\n",
    "    for suberror in sorted(error.context, key=lambda e: e.schema_path):\n",
    "        print(list(suberror.schema_path), suberror.message, sep=\", \")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "acb5746f-6be6-4630-a8e7-0ded0bd00ff2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "'spam' is not of type 'number'\n",
      "'spam' is not one of [1, 2, 3]\n",
      "['spam', 2] is too short\n"
     ]
    }
   ],
   "source": [
    "schema = {\n",
    "    \"type\": \"array\",\n",
    "    \"items\": {\"type\": \"number\", \"enum\": [1, 2, 3]},\n",
    "    \"minItems\": 3,\n",
    "}\n",
    "instance = [\"spam\", 2]\n",
    "\n",
    "v = Draft202012Validator(schema)\n",
    "for error in sorted(v.iter_errors([\"spam\", 2]), key=str):\n",
    "    print(error.message)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "ff3af45b-6046-4357-adfc-80d1bf28be34",
   "metadata": {},
   "outputs": [],
   "source": [
    "tree = ErrorTree(v.iter_errors(instance))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "4081eded-f153-4846-a14d-2dd91a5d660b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "username='scolvin' password1='zxcvbn' password2='zxcvbn'\n",
      "1 validation error for UserModel\n",
      "__root__\n",
      "  passwords do not match (type=value_error)\n"
     ]
    }
   ],
   "source": [
    "from pydantic import BaseModel, ValidationError, root_validator\n",
    "\n",
    "\n",
    "class UserModel(BaseModel):\n",
    "    username: str\n",
    "    password1: str\n",
    "    password2: str\n",
    "\n",
    "    @root_validator(pre=True)\n",
    "    def check_card_number_omitted(cls, values):\n",
    "        assert \"card_number\" not in values, \"card_number should not be included\"\n",
    "        return values\n",
    "\n",
    "    @root_validator\n",
    "    def check_passwords_match(cls, values):\n",
    "        pw1, pw2 = values.get(\"password1\"), values.get(\"password2\")\n",
    "        if pw1 is not None and pw2 is not None and pw1 != pw2:\n",
    "            raise ValueError(\"passwords do not match\")\n",
    "        return values\n",
    "\n",
    "\n",
    "print(UserModel(username=\"scolvin\", password1=\"zxcvbn\", password2=\"zxcvbn\"))\n",
    "# > username='scolvin' password1='zxcvbn' password2='zxcvbn'\n",
    "try:\n",
    "    UserModel(username=\"scolvin\", password1=\"zxcvbn\", password2=\"zxcvbn2\")\n",
    "except ValidationError as e:\n",
    "    print(e)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "42cbb5b2-4d4f-44b4-b66e-932b807dae12",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "24f35a58-e4d5-4012-bf29-c0ec3e713195",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ea279190-8152-474b-a829-277efb2144a9",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "9ee7f460-11bb-41e2-b136-77b67c1d24f6",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "2ade04b5-4d59-417f-b355-25b25e4c7fae",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "2d140e33133c455d8c20d5b37926442f",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "VBox(children=(HBox(children=(Text(value=''), Label(value='schedule name in plain english (with spaces)'))), H…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import stringcase as sc\n",
    "\n",
    "name = w.Text()\n",
    "name_ = w.Text(disabled=True)\n",
    "vbox = w.VBox(\n",
    "    [\n",
    "        w.HBox([name, w.Label(\"schedule name in plain english (with spaces)\")]),\n",
    "        w.HBox([name_, w.Label(\"schedule name for machines\")]),\n",
    "    ]\n",
    ")\n",
    "\n",
    "\n",
    "def on_name_change(on_change):\n",
    "    name_.value = sc.pascalcase(sc.snakecase(name.value.lower())).strip(\"_\")\n",
    "\n",
    "\n",
    "name.observe(on_name_change, \"value\")\n",
    "\n",
    "vbox"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "02c53e29-c7aa-4a31-97b4-c3774ad1b595",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
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  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
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   "file_extension": ".py",
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