{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "ename": "SDKError",
     "evalue": "API error occurred: Status 401\n{\n  \"message\":\"Unauthorized\",\n  \"request_id\":\"11390a73fd79bc1a934c5858569caa3a\"\n}",
     "output_type": "error",
     "traceback": [
      "\u001b[31m---------------------------------------------------------------------------\u001b[39m",
      "\u001b[31mSDKError\u001b[39m                                  Traceback (most recent call last)",
      "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[11]\u001b[39m\u001b[32m, line 8\u001b[39m\n\u001b[32m      4\u001b[39m api_key =\u001b[33m\"\u001b[39m\u001b[33mxmM3IG80Y97Hg8kJVUPy1ijyIhmS2H9j\u001b[39m\u001b[33m\"\u001b[39m\n\u001b[32m      6\u001b[39m client = Mistral(api_key=api_key)\n\u001b[32m----> \u001b[39m\u001b[32m8\u001b[39m uploaded_pdf = \u001b[43mclient\u001b[49m\u001b[43m.\u001b[49m\u001b[43mfiles\u001b[49m\u001b[43m.\u001b[49m\u001b[43mupload\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m      9\u001b[39m \u001b[43m    \u001b[49m\u001b[43mfile\u001b[49m\u001b[43m=\u001b[49m\u001b[43m{\u001b[49m\n\u001b[32m     10\u001b[39m \u001b[43m        \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mfile_name\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43m11_chapitre3.pdf\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[32m     11\u001b[39m \u001b[43m        \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mcontent\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mopen\u001b[39;49m\u001b[43m(\u001b[49m\u001b[33;43mr\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mF:\u001b[39;49m\u001b[33;43m\\\u001b[39;49m\u001b[33;43mDev\u001b[39;49m\u001b[33;43m\\\u001b[39;49m\u001b[33;43mRag\u001b[39;49m\u001b[33;43m\\\u001b[39;49m\u001b[33;43mRag_Modeling\u001b[39;49m\u001b[33;43m\\\u001b[39;49m\u001b[33;43mdocument\u001b[39;49m\u001b[33;43m\\\u001b[39;49m\u001b[33;43m11_chapitre3.pdf\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mrb\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m     12\u001b[39m \u001b[43m    \u001b[49m\u001b[43m}\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m     13\u001b[39m \u001b[43m    \u001b[49m\u001b[43mpurpose\u001b[49m\u001b[43m=\u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mocr\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\n\u001b[32m     14\u001b[39m \u001b[43m)\u001b[49m \n\u001b[32m     15\u001b[39m client.files.retrieve(file_id=uploaded_pdf.id) \n",
      "\u001b[36mFile \u001b[39m\u001b[32mf:\\Dev\\Rag\\chat_bot_rag\\.venv\\Lib\\site-packages\\mistralai\\files.py:101\u001b[39m, in \u001b[36mFiles.upload\u001b[39m\u001b[34m(self, file, purpose, retries, server_url, timeout_ms, http_headers)\u001b[39m\n\u001b[32m     99\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m utils.match_response(http_res, \u001b[33m\"\u001b[39m\u001b[33m4XX\u001b[39m\u001b[33m\"\u001b[39m, \u001b[33m\"\u001b[39m\u001b[33m*\u001b[39m\u001b[33m\"\u001b[39m):\n\u001b[32m    100\u001b[39m     http_res_text = utils.stream_to_text(http_res)\n\u001b[32m--> \u001b[39m\u001b[32m101\u001b[39m     \u001b[38;5;28;01mraise\u001b[39;00m models.SDKError(\n\u001b[32m    102\u001b[39m         \u001b[33m\"\u001b[39m\u001b[33mAPI error occurred\u001b[39m\u001b[33m\"\u001b[39m, http_res.status_code, http_res_text, http_res\n\u001b[32m    103\u001b[39m     )\n\u001b[32m    104\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m utils.match_response(http_res, \u001b[33m\"\u001b[39m\u001b[33m5XX\u001b[39m\u001b[33m\"\u001b[39m, \u001b[33m\"\u001b[39m\u001b[33m*\u001b[39m\u001b[33m\"\u001b[39m):\n\u001b[32m    105\u001b[39m     http_res_text = utils.stream_to_text(http_res)\n",
      "\u001b[31mSDKError\u001b[39m: API error occurred: Status 401\n{\n  \"message\":\"Unauthorized\",\n  \"request_id\":\"11390a73fd79bc1a934c5858569caa3a\"\n}"
     ]
    }
   ],
   "source": [
    "from mistralai import Mistral\n",
    "import os\n",
    "\n",
    "api_key =\"xmM3IG80Y97Hg8kJVUPy1ijyIhmS2H9j\"\n",
    "\n",
    "client = Mistral(api_key=api_key)\n",
    "\n",
    "uploaded_pdf = client.files.upload(\n",
    "    file={\n",
    "        \"file_name\": \"11_chapitre3.pdf\",\n",
    "        \"content\": open(r\"F:\\Dev\\Rag\\Rag_Modeling\\document\\11_chapitre3.pdf\", \"rb\"),\n",
    "    },\n",
    "    purpose=\"ocr\"\n",
    ") \n",
    "client.files.retrieve(file_id=uploaded_pdf.id) \n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "ename": "SDKError",
     "evalue": "API error occurred: Status 401\n{\n  \"message\":\"Unauthorized\",\n  \"request_id\":\"bf40e3105e1f257ec16fc233e4d0396b\"\n}",
     "output_type": "error",
     "traceback": [
      "\u001b[31m---------------------------------------------------------------------------\u001b[39m",
      "\u001b[31mSDKError\u001b[39m                                  Traceback (most recent call last)",
      "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[10]\u001b[39m\u001b[32m, line 5\u001b[39m\n\u001b[32m      1\u001b[39m model = \u001b[33m\"\u001b[39m\u001b[33mmistral-large-latest\u001b[39m\u001b[33m\"\u001b[39m\n\u001b[32m      3\u001b[39m client = Mistral(api_key=api_key)\n\u001b[32m----> \u001b[39m\u001b[32m5\u001b[39m chat_response = \u001b[43mclient\u001b[49m\u001b[43m.\u001b[49m\u001b[43mchat\u001b[49m\u001b[43m.\u001b[49m\u001b[43mcomplete\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m      6\u001b[39m \u001b[43m    \u001b[49m\u001b[43mmodel\u001b[49m\u001b[43m=\u001b[49m\u001b[43m \u001b[49m\u001b[43mmodel\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m      7\u001b[39m \u001b[43m    \u001b[49m\u001b[43mmessages\u001b[49m\u001b[43m \u001b[49m\u001b[43m=\u001b[49m\u001b[43m \u001b[49m\u001b[43m[\u001b[49m\n\u001b[32m      8\u001b[39m \u001b[43m        \u001b[49m\u001b[43m{\u001b[49m\n\u001b[32m      9\u001b[39m \u001b[43m            \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mrole\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43muser\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[32m     10\u001b[39m \u001b[43m            \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mcontent\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mWhat is the best French cheese?\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[32m     11\u001b[39m \u001b[43m        \u001b[49m\u001b[43m}\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m     12\u001b[39m \u001b[43m    \u001b[49m\u001b[43m]\u001b[49m\n\u001b[32m     13\u001b[39m \u001b[43m)\u001b[49m\n\u001b[32m     14\u001b[39m \u001b[38;5;28mprint\u001b[39m(chat_response.choices[\u001b[32m0\u001b[39m].message.content)\n",
      "\u001b[36mFile \u001b[39m\u001b[32mf:\\Dev\\Rag\\chat_bot_rag\\.venv\\Lib\\site-packages\\mistralai\\chat.py:235\u001b[39m, in \u001b[36mChat.complete\u001b[39m\u001b[34m(self, model, messages, temperature, top_p, max_tokens, stream, stop, random_seed, response_format, tools, tool_choice, presence_penalty, frequency_penalty, n, prediction, safe_prompt, retries, server_url, timeout_ms, http_headers)\u001b[39m\n\u001b[32m    233\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m utils.match_response(http_res, \u001b[33m\"\u001b[39m\u001b[33m4XX\u001b[39m\u001b[33m\"\u001b[39m, \u001b[33m\"\u001b[39m\u001b[33m*\u001b[39m\u001b[33m\"\u001b[39m):\n\u001b[32m    234\u001b[39m     http_res_text = utils.stream_to_text(http_res)\n\u001b[32m--> \u001b[39m\u001b[32m235\u001b[39m     \u001b[38;5;28;01mraise\u001b[39;00m models.SDKError(\n\u001b[32m    236\u001b[39m         \u001b[33m\"\u001b[39m\u001b[33mAPI error occurred\u001b[39m\u001b[33m\"\u001b[39m, http_res.status_code, http_res_text, http_res\n\u001b[32m    237\u001b[39m     )\n\u001b[32m    238\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m utils.match_response(http_res, \u001b[33m\"\u001b[39m\u001b[33m5XX\u001b[39m\u001b[33m\"\u001b[39m, \u001b[33m\"\u001b[39m\u001b[33m*\u001b[39m\u001b[33m\"\u001b[39m):\n\u001b[32m    239\u001b[39m     http_res_text = utils.stream_to_text(http_res)\n",
      "\u001b[31mSDKError\u001b[39m: API error occurred: Status 401\n{\n  \"message\":\"Unauthorized\",\n  \"request_id\":\"bf40e3105e1f257ec16fc233e4d0396b\"\n}"
     ]
    }
   ],
   "source": [
    "model = \"mistral-large-latest\"\n",
    "\n",
    "client = Mistral(api_key=api_key)\n",
    "\n",
    "chat_response = client.chat.complete(\n",
    "    model= model,\n",
    "    messages = [\n",
    "        {\n",
    "            \"role\": \"user\",\n",
    "            \"content\": \"What is the best French cheese?\",\n",
    "        },\n",
    "    ]\n",
    ")\n",
    "print(chat_response.choices[0].message.content)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<_io.BufferedReader name='F:\\\\Dev\\\\Rag\\\\Rag_Modeling\\\\document\\\\11_chapitre3.pdf'>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "open(r\"F:\\Dev\\Rag\\Rag_Modeling\\document\\11_chapitre3.pdf\", \"rb\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "MISTRAL_API_KEY: None\n"
     ]
    }
   ],
   "source": [
    "import os\n",
    "print(\"MISTRAL_API_KEY:\", repr(os.environ.get(\"MISTRAL_API_KEY\")))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": ".venv",
   "language": "python",
   "name": "python3"
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  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
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   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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 },
 "nbformat": 4,
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