{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# autoreload your package\n",
    "%load_ext autoreload\n",
    "%autoreload 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/media/wassname/SGIronWolf/projects5/2024/prob_jsonformer/.venv/lib/python3.9/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
      "  from .autonotebook import tqdm as notebook_tqdm\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Loading model and tokenizer...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/media/wassname/SGIronWolf/projects5/2024/prob_jsonformer/.venv/lib/python3.9/site-packages/huggingface_hub/file_download.py:1132: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`.\n",
      "  warnings.warn(\n",
      "/media/wassname/SGIronWolf/projects5/2024/prob_jsonformer/.venv/lib/python3.9/site-packages/huggingface_hub/file_download.py:1132: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`.\n",
      "  warnings.warn(\n",
      "Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Loaded model and tokenizer\n"
     ]
    }
   ],
   "source": [
    "from transformers import AutoModelForCausalLM, AutoTokenizer\n",
    "import torch\n",
    "\n",
    "print(\"Loading model and tokenizer...\")\n",
    "model_name = \"databricks/dolly-v2-3b\"\n",
    "model = AutoModelForCausalLM.from_pretrained(\n",
    "    model_name,\n",
    "    use_cache=True,\n",
    "    torch_dtype=torch.float16,\n",
    "    attn_implementation='eager',\n",
    ").to(\"cuda:0\")\n",
    "tokenizer = AutoTokenizer.from_pretrained(model_name, use_fast=True, use_cache=True)\n",
    "print(\"Loaded model and tokenizer\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Continue"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Generating...\n",
      "{\n",
      "  store: {\n",
      "    name: \u001b[32m\"Mike's Ski Shop\"\u001b[0m,\n",
      "    location: \u001b[32m\"Somewhere\"\u001b[0m,\n",
      "    choice_probs: [\n",
      "      {\n",
      "        prob: \u001b[32m0.01739501953125\u001b[0m,\n",
      "        choice: \u001b[32m\"pretend\"\u001b[0m\n",
      "      },\n",
      "      {\n",
      "        prob: \u001b[32m0.002094268798828125\u001b[0m,\n",
      "        choice: \u001b[32m\"snowboard\"\u001b[0m\n",
      "      },\n",
      "      {\n",
      "        prob: \u001b[32m0.0007467269897460938\u001b[0m,\n",
      "        choice: \u001b[32m\"walk\"\u001b[0m\n",
      "      },\n",
      "      {\n",
      "        prob: \u001b[32m0.97998046875\u001b[0m,\n",
      "        choice: \u001b[32m\"ski\"\u001b[0m\n",
      "      }\n",
      "    ],\n",
      "    inventory: [\n",
      "      {\n",
      "        productId: \u001b[32m\"1\"\u001b[0m,\n",
      "        name: \u001b[32m\"Snowboard X-15\"\u001b[0m,\n",
      "        description: \u001b[32m\"Snowboard for all levels\"\u001b[0m,\n",
      "        category: \u001b[32m\"Snowboards\"\u001b[0m,\n",
      "        price: \u001b[32m20.0375\u001b[0m,\n",
      "        inStock: \u001b[32mTrue\u001b[0m,\n",
      "        rating: \u001b[32m5.0\u001b[0m,\n",
      "        images: [\n",
      "          \u001b[32m\"https://s3.amazonaws.com/mikesskisport/images/Snow\"\u001b[0m\n",
      "        ]\n",
      "      }\n",
      "    ]\n",
      "  }\n",
      "}\n"
     ]
    }
   ],
   "source": [
    "from prob_jsonformer.format import highlight_values\n",
    "from prob_jsonformer.main import Jsonformer\n",
    "\n",
    "ecomm = {\n",
    "    \"type\": \"object\",\n",
    "    \"properties\": {\n",
    "        \"store\": {\n",
    "            \"type\": \"object\",\n",
    "            \"properties\": {\n",
    "                \"name\": {\"type\": \"string\"},\n",
    "                \"location\": {\"type\": \"string\"},\n",
    "                \"choice_probs\": {\"type\": \"choice_probs\", \"enum\": [\"ski\", \"snowboard\", \"walk\", \"pretend\"]},\n",
    "                \"inventory\": {\n",
    "                    \"type\": \"array\",\n",
    "                    \"items\": {\n",
    "                        \"type\": \"object\",\n",
    "                        \"properties\": {\n",
    "                            \"productId\": {\"type\": \"string\"},\n",
    "                            \"name\": {\"type\": \"string\"},\n",
    "                            \"description\": {\"type\": \"string\"},\n",
    "                            \"category\": {\"type\": \"string\"},\n",
    "                            \"price\": {\"type\": \"number\"},\n",
    "                            \"inStock\": {\"type\": \"boolean\"},\n",
    "                            \"rating\": {\"type\": \"number\"},\n",
    "                            \"images\": {\"type\": \"array\", \"items\": {\"type\": \"string\"}},\n",
    "                        },\n",
    "                    },\n",
    "                },\n",
    "            },\n",
    "        }\n",
    "    },\n",
    "}\n",
    "\n",
    "\n",
    "builder = Jsonformer(\n",
    "    model=model,\n",
    "    tokenizer=tokenizer,\n",
    "    json_schema=ecomm,\n",
    "    prompt=\"write a description about mike's ski shop which sells premium skis and snowboards\",\n",
    "    max_string_token_length=20,\n",
    ")\n",
    "\n",
    "print(\"Generating...\")\n",
    "output = builder()\n",
    "\n",
    "highlight_values(output)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Generating...\n",
      "{\n",
      "  make: \u001b[32m\"Mazda\"\u001b[0m,\n",
      "  model: [\n",
      "    {\n",
      "      prob: \u001b[32m0.8154296875\u001b[0m,\n",
      "      choice: \u001b[32m\"Kea\"\u001b[0m\n",
      "    },\n",
      "    {\n",
      "      prob: \u001b[32m0.184814453125\u001b[0m,\n",
      "      choice: \u001b[32m\"Mazda\"\u001b[0m\n",
      "    }\n",
      "  ],\n",
      "  new: [\n",
      "    {\n",
      "      prob: \u001b[32m0.90185546875\u001b[0m,\n",
      "      choice: \u001b[32m\"true\"\u001b[0m\n",
      "    },\n",
      "    {\n",
      "      prob: \u001b[32m0.09808349609375\u001b[0m,\n",
      "      choice: \u001b[32m\"false\"\u001b[0m\n",
      "    }\n",
      "  ],\n",
      "  rating: [\n",
      "    {\n",
      "      prob: \u001b[32m0.221435546875\u001b[0m,\n",
      "      choice: \u001b[32m\"1\"\u001b[0m\n",
      "    },\n",
      "    {\n",
      "      prob: \u001b[32m0.394775390625\u001b[0m,\n",
      "      choice: \u001b[32m\"2\"\u001b[0m\n",
      "    },\n",
      "    {\n",
      "      prob: \u001b[32m0.382568359375\u001b[0m,\n",
      "      choice: \u001b[32m\"3\"\u001b[0m\n",
      "    },\n",
      "    {\n",
      "      prob: \u001b[32m0.0013370513916015625\u001b[0m,\n",
      "      choice: \u001b[32m\"4\"\u001b[0m\n",
      "    }\n",
      "  ],\n",
      "  year: \u001b[32m2016.0\u001b[0m,\n",
      "  colors_available: [\n",
      "    \u001b[32m\"red\"\u001b[0m\n",
      "  ]\n",
      "}\n"
     ]
    }
   ],
   "source": [
    "car = {\n",
    "    \"type\": \"object\",\n",
    "    \"properties\": {\n",
    "        \"make\": {\"type\": \"string\"},\n",
    "        \"model\": {\"type\": \"choice_probs\", \"enum\": [\"Mazda\", \"Kea\"]},\n",
    "        \"new\": {\"type\": \"choice_probs\", \"enum\": [\"true\", \"false\"]},\n",
    "        \"rating\": {\"type\": \"choice_probs\", \"enum\": [\"1\", \"2\", \"3\", \"4\"]},\n",
    "        \"year\": {\"type\": \"number\"},\n",
    "        \"colors_available\": {\n",
    "            \"type\": \"array\",\n",
    "            \"items\": {\"type\": \"string\"},\n",
    "        },\n",
    "    },\n",
    "}\n",
    "\n",
    "builder = Jsonformer(\n",
    "    model=model,\n",
    "    tokenizer=tokenizer,\n",
    "    json_schema=car,\n",
    "    prompt=\"generate an example car\",\n",
    ")\n",
    "\n",
    "print(\"Generating...\")\n",
    "output = builder()\n",
    "\n",
    "highlight_values(output)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Generating...\n",
      "{\n",
      "  car: {\n",
      "    make: \u001b[32m\"Rolls Royce\"\u001b[0m,\n",
      "    model: \u001b[32m\"Phantom\"\u001b[0m,\n",
      "    year: \u001b[32m2014.0\u001b[0m,\n",
      "    colors: [\n",
      "      {\n",
      "        prob: \u001b[32m0.001560211181640625\u001b[0m,\n",
      "        choice: \u001b[32m\"white\"\u001b[0m\n",
      "      },\n",
      "      {\n",
      "        prob: \u001b[32m0.833984375\u001b[0m,\n",
      "        choice: \u001b[32m\"red\"\u001b[0m\n",
      "      },\n",
      "      {\n",
      "        prob: \u001b[32m0.0865478515625\u001b[0m,\n",
      "        choice: \u001b[32m\"black\"\u001b[0m\n",
      "      },\n",
      "      {\n",
      "        prob: \u001b[32m0.048553466796875\u001b[0m,\n",
      "        choice: \u001b[32m\"blue\"\u001b[0m\n",
      "      },\n",
      "      {\n",
      "        prob: \u001b[32m0.0294342041015625\u001b[0m,\n",
      "        choice: \u001b[32m\"green\"\u001b[0m\n",
      "      }\n",
      "    ],\n",
      "    as_new: [\n",
      "      {\n",
      "        prob: \u001b[32m0.96533203125\u001b[0m,\n",
      "        choice: \u001b[32m\"true\"\u001b[0m\n",
      "      },\n",
      "      {\n",
      "        prob: \u001b[32m0.03460693359375\u001b[0m,\n",
      "        choice: \u001b[32m\"false\"\u001b[0m\n",
      "      }\n",
      "    ],\n",
      "    rating: [\n",
      "      {\n",
      "        prob: \u001b[32m0.05462646484375\u001b[0m,\n",
      "        choice: \u001b[32m\"1\"\u001b[0m\n",
      "      },\n",
      "      {\n",
      "        prob: \u001b[32m0.233642578125\u001b[0m,\n",
      "        choice: \u001b[32m\"2\"\u001b[0m\n",
      "      },\n",
      "      {\n",
      "        prob: \u001b[32m0.2093505859375\u001b[0m,\n",
      "        choice: \u001b[32m\"3\"\u001b[0m\n",
      "      },\n",
      "      {\n",
      "        prob: \u001b[32m0.50244140625\u001b[0m,\n",
      "        choice: \u001b[32m\"4\"\u001b[0m\n",
      "      }\n",
      "    ],\n",
      "    features: {\n",
      "      audio: {\n",
      "        brand: \u001b[32m\"Mercedes-Benz\"\u001b[0m,\n",
      "        speakers: \u001b[32m2.09999\u001b[0m,\n",
      "        hasBluetooth: \u001b[32mTrue\u001b[0m\n",
      "      },\n",
      "      safety: {\n",
      "        airbags: \u001b[32m2.09999\u001b[0m,\n",
      "        parkingSensors: \u001b[32mTrue\u001b[0m,\n",
      "        laneAssist: \u001b[32mTrue\u001b[0m\n",
      "      },\n",
      "      performance: {\n",
      "        engine: \u001b[32m\"Mercedes-Benz 6.2 L\"\u001b[0m,\n",
      "        horsepower: \u001b[32m423.09999\u001b[0m,\n",
      "        topSpeed: \u001b[32m220.09999\u001b[0m\n",
      "      }\n",
      "    }\n",
      "  },\n",
      "  owner: {\n",
      "    firstName: \u001b[32m\"John\"\u001b[0m,\n",
      "    lastName: \u001b[32m\"Doe\"\u001b[0m,\n",
      "    age: \u001b[32m40.09999\u001b[0m\n",
      "  }\n",
      "}\n"
     ]
    }
   ],
   "source": [
    "complex_car = {\n",
    "    \"type\": \"object\",\n",
    "    \"properties\": {\n",
    "        \"car\": {\n",
    "            \"type\": \"object\",\n",
    "            \"properties\": {\n",
    "                \"make\": {\"type\": \"string\"},\n",
    "                \"model\": {\"type\": \"string\"},\n",
    "                \"year\": {\"type\": \"number\"},\n",
    "                \"colors\": {\"type\": \"choice_probs\", \"enum\": [\"red\", \"green\", \"blue\", \"black\", \"white\"]},\n",
    "                \"as_new\": {\"type\": \"choice_probs\", \"enum\": [\"true\", \"false\"]},\n",
    "                \"rating\": {\"type\": \"choice_probs\", \"enum\": [\"1\", \"2\", \"3\", \"4\"]},\n",
    "                \"features\": {\n",
    "                    \"type\": \"object\",\n",
    "                    \"properties\": {\n",
    "                        \"audio\": {\n",
    "                            \"type\": \"object\",\n",
    "                            \"properties\": {\n",
    "                                \"brand\": {\"type\": \"string\"},\n",
    "                                \"speakers\": {\"type\": \"number\"},\n",
    "                                \"hasBluetooth\": {\"type\": \"boolean\"},\n",
    "                            },\n",
    "                        },\n",
    "                        \"safety\": {\n",
    "                            \"type\": \"object\",\n",
    "                            \"properties\": {\n",
    "                                \"airbags\": {\"type\": \"number\"},\n",
    "                                \"parkingSensors\": {\"type\": \"boolean\"},\n",
    "                                \"laneAssist\": {\"type\": \"boolean\"},\n",
    "                            },\n",
    "                        },\n",
    "                        \"performance\": {\n",
    "                            \"type\": \"object\",\n",
    "                            \"properties\": {\n",
    "                                \"engine\": {\"type\": \"string\"},\n",
    "                                \"horsepower\": {\"type\": \"number\"},\n",
    "                                \"topSpeed\": {\"type\": \"number\"},\n",
    "                            },\n",
    "                        },\n",
    "                    },\n",
    "                },\n",
    "            },\n",
    "        },\n",
    "        \"owner\": {\n",
    "            \"type\": \"object\",\n",
    "            \"properties\": {\n",
    "                \"firstName\": {\"type\": \"string\"},\n",
    "                \"lastName\": {\"type\": \"string\"},\n",
    "                \"age\": {\"type\": \"number\"},\n",
    "            },\n",
    "        },\n",
    "    },\n",
    "}\n",
    "builder = Jsonformer(\n",
    "    model=model,\n",
    "    tokenizer=tokenizer,\n",
    "    json_schema=complex_car,\n",
    "    prompt=\"generate an example Rolls Royce Phantom\",\n",
    ")\n",
    "\n",
    "print(\"Generating...\")\n",
    "output = builder()\n",
    "\n",
    "highlight_values(output)"
   ]
  }
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