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Sciences-POC
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{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd \n",
    "import requests \n",
    "import datetime as dt\n",
    "import re\n",
    "import json\n",
    "from tqdm import tqdm\n",
    "import os\n",
    "import time\n",
    "from openai import OpenAI"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Calculate"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "if \"OPENAI_API_KEY\" not in os.environ:\n",
    "    with open('/home/sagemaker-user/Sciences-POC/config/secrets/keys.txt', 'r') as f:\n",
    "        keys = json.loads(f.read())\n",
    "else : \n",
    "    keys=os.environ"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "save_path = '/home/sagemaker-user/Sciences-POC/data/outputs'\n",
    "content_path = '/home/sagemaker-user/Sciences-POC/data/extract_sciences_po'\n",
    "\n",
    "\n",
    "def retrieve_classifications(name, mapping_prompt):\n",
    "\n",
    "    df = pd.read_csv('/home/sagemaker-user/Sciences-POC/data/extract_sciences_po.csv')\n",
    "\n",
    "\n",
    "    if os.path.exists(f\"{save_path}/output_{name}.txt\"):\n",
    "        with open(f\"{save_path}/output_{name}.txt\", 'r') as f : \n",
    "            out_dict = json.loads(f.read())\n",
    "        out_df = pd.DataFrame.from_dict(out_dict)\n",
    "        out = out_dict\n",
    "    else : \n",
    "        out_df = pd.DataFrame(columns = ['item_id', 'categorie_principale', 'categorie_secondaire'])\n",
    "        out = []\n",
    "\n",
    "    df_to_process = df.loc[~df.item_id.isin(out_df.item_id)]\n",
    "\n",
    "    if mapping_prompt[name]['client']=='deepseek':\n",
    "        client = OpenAI(api_key=keys[\"DEEPSEEK_API_KEY\"], base_url=\"https://api.deepseek.com\")\n",
    "        model=\"deepseek-chat\"\n",
    "    else:\n",
    "        client=OpenAI(api_key=keys['OPENAI_API_KEY'])\n",
    "        model=\"gpt-4o\"\n",
    "\n",
    "    df_to_process = df.loc[~df.item_id.isin(out_df.item_id)]\n",
    "\n",
    "\n",
    "    with open(mapping_prompt[name]['path_prompt'], 'r') as f:\n",
    "        prompt = f.read()\n",
    "\n",
    "    with tqdm(total=df_to_process.shape[0]) as pbar:\n",
    "        for i, row in df_to_process.iterrows():\n",
    "            titre_brut = f\"{row.item_id}_\"+row.titre.lower().strip().replace(f\"\\xa0\", ' ').replace(' : ', ':').replace(' ', '_').replace('/', '')\n",
    "            \n",
    "            with open(f'{content_path}/{titre_brut}.txt', 'r') as f:\n",
    "                text = f.read()\n",
    "\n",
    "            messages = [{\"role\": \"system\", \"content\": prompt},\n",
    "                        {\"role\": \"user\", \"content\": text}]\n",
    "\n",
    "            response = client.chat.completions.create(\n",
    "                model=model,\n",
    "                messages=messages,\n",
    "                response_format={\n",
    "                    'type': 'json_object'\n",
    "                }\n",
    "            )\n",
    "            try : \n",
    "                cat_json = json.loads(response.choices[0].message.content)\n",
    "\n",
    "                out.append({\n",
    "                    'item_id':row.item_id, \n",
    "                    'categorie_principale': cat_json['categorie_principale'],\n",
    "                    'categorie_secondaire': cat_json['categorie_secondaire'],\n",
    "                })\n",
    "                \n",
    "                with open(f'{save_path}/output_{name}.txt', 'w+') as f : \n",
    "                    f.write(json.dumps(out))\n",
    "\n",
    "            except Exception as e : \n",
    "                print(f'Error with article {row.item_id}')\n",
    "                pass\n",
    "\n",
    "            \n",
    "            pbar.update(1)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dimanov_et_al\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "  0%|          | 0/442 [00:02<?, ?it/s]\n"
     ]
    },
    {
     "ename": "RateLimitError",
     "evalue": "Error code: 429 - {'error': {'message': 'You exceeded your current quota, please check your plan and billing details. For more information on this error, read the docs: https://platform.openai.com/docs/guides/error-codes/api-errors.', 'type': 'insufficient_quota', 'param': None, 'code': 'insufficient_quota'}}",
     "output_type": "error",
     "traceback": [
      "\u001b[31m---------------------------------------------------------------------------\u001b[39m",
      "\u001b[31mRateLimitError\u001b[39m                            Traceback (most recent call last)",
      "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[4]\u001b[39m\u001b[32m, line 6\u001b[39m\n\u001b[32m      4\u001b[39m \u001b[38;5;28;01mfor\u001b[39;00m name \u001b[38;5;129;01min\u001b[39;00m mapping.keys():\n\u001b[32m      5\u001b[39m     \u001b[38;5;28mprint\u001b[39m(name)\n\u001b[32m----> \u001b[39m\u001b[32m6\u001b[39m     \u001b[43mretrieve_classifications\u001b[49m\u001b[43m(\u001b[49m\u001b[43mname\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmapping\u001b[49m\u001b[43m)\u001b[49m\n",
      "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[3]\u001b[39m\u001b[32m, line 44\u001b[39m, in \u001b[36mretrieve_classifications\u001b[39m\u001b[34m(name, mapping_prompt)\u001b[39m\n\u001b[32m     39\u001b[39m     text = f.read()\n\u001b[32m     41\u001b[39m messages = [{\u001b[33m\"\u001b[39m\u001b[33mrole\u001b[39m\u001b[33m\"\u001b[39m: \u001b[33m\"\u001b[39m\u001b[33msystem\u001b[39m\u001b[33m\"\u001b[39m, \u001b[33m\"\u001b[39m\u001b[33mcontent\u001b[39m\u001b[33m\"\u001b[39m: prompt},\n\u001b[32m     42\u001b[39m             {\u001b[33m\"\u001b[39m\u001b[33mrole\u001b[39m\u001b[33m\"\u001b[39m: \u001b[33m\"\u001b[39m\u001b[33muser\u001b[39m\u001b[33m\"\u001b[39m, \u001b[33m\"\u001b[39m\u001b[33mcontent\u001b[39m\u001b[33m\"\u001b[39m: text}]\n\u001b[32m---> \u001b[39m\u001b[32m44\u001b[39m response = \u001b[43mclient\u001b[49m\u001b[43m.\u001b[49m\u001b[43mchat\u001b[49m\u001b[43m.\u001b[49m\u001b[43mcompletions\u001b[49m\u001b[43m.\u001b[49m\u001b[43mcreate\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m     45\u001b[39m \u001b[43m    \u001b[49m\u001b[43mmodel\u001b[49m\u001b[43m=\u001b[49m\u001b[43mmodel\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m     46\u001b[39m \u001b[43m    \u001b[49m\u001b[43mmessages\u001b[49m\u001b[43m=\u001b[49m\u001b[43mmessages\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m     47\u001b[39m \u001b[43m    \u001b[49m\u001b[43mresponse_format\u001b[49m\u001b[43m=\u001b[49m\u001b[43m{\u001b[49m\n\u001b[32m     48\u001b[39m \u001b[43m        \u001b[49m\u001b[33;43m'\u001b[39;49m\u001b[33;43mtype\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;43mjson_object\u001b[39;49m\u001b[33;43m'\u001b[39;49m\n\u001b[32m     49\u001b[39m \u001b[43m    \u001b[49m\u001b[43m}\u001b[49m\n\u001b[32m     50\u001b[39m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m     51\u001b[39m \u001b[38;5;28;01mtry\u001b[39;00m : \n\u001b[32m     52\u001b[39m     cat_json = json.loads(response.choices[\u001b[32m0\u001b[39m].message.content)\n",
      "\u001b[36mFile \u001b[39m\u001b[32m~/.cache/pypoetry/virtualenvs/sciences-poc-Bw010oVJ-py3.11/lib/python3.11/site-packages/openai/_utils/_utils.py:279\u001b[39m, in \u001b[36mrequired_args.<locals>.inner.<locals>.wrapper\u001b[39m\u001b[34m(*args, **kwargs)\u001b[39m\n\u001b[32m    277\u001b[39m             msg = \u001b[33mf\u001b[39m\u001b[33m\"\u001b[39m\u001b[33mMissing required argument: \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mquote(missing[\u001b[32m0\u001b[39m])\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m\"\u001b[39m\n\u001b[32m    278\u001b[39m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mTypeError\u001b[39;00m(msg)\n\u001b[32m--> \u001b[39m\u001b[32m279\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mfunc\u001b[49m\u001b[43m(\u001b[49m\u001b[43m*\u001b[49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m*\u001b[49m\u001b[43m*\u001b[49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n",
      "\u001b[36mFile \u001b[39m\u001b[32m~/.cache/pypoetry/virtualenvs/sciences-poc-Bw010oVJ-py3.11/lib/python3.11/site-packages/openai/resources/chat/completions/completions.py:914\u001b[39m, in \u001b[36mCompletions.create\u001b[39m\u001b[34m(self, messages, model, audio, frequency_penalty, function_call, functions, logit_bias, logprobs, max_completion_tokens, max_tokens, metadata, modalities, n, parallel_tool_calls, prediction, presence_penalty, reasoning_effort, response_format, seed, service_tier, stop, store, stream, stream_options, temperature, tool_choice, tools, top_logprobs, top_p, user, web_search_options, extra_headers, extra_query, extra_body, timeout)\u001b[39m\n\u001b[32m    871\u001b[39m \u001b[38;5;129m@required_args\u001b[39m([\u001b[33m\"\u001b[39m\u001b[33mmessages\u001b[39m\u001b[33m\"\u001b[39m, \u001b[33m\"\u001b[39m\u001b[33mmodel\u001b[39m\u001b[33m\"\u001b[39m], [\u001b[33m\"\u001b[39m\u001b[33mmessages\u001b[39m\u001b[33m\"\u001b[39m, \u001b[33m\"\u001b[39m\u001b[33mmodel\u001b[39m\u001b[33m\"\u001b[39m, \u001b[33m\"\u001b[39m\u001b[33mstream\u001b[39m\u001b[33m\"\u001b[39m])\n\u001b[32m    872\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34mcreate\u001b[39m(\n\u001b[32m    873\u001b[39m     \u001b[38;5;28mself\u001b[39m,\n\u001b[32m   (...)\u001b[39m\u001b[32m    911\u001b[39m     timeout: \u001b[38;5;28mfloat\u001b[39m | httpx.Timeout | \u001b[38;5;28;01mNone\u001b[39;00m | NotGiven = NOT_GIVEN,\n\u001b[32m    912\u001b[39m ) -> ChatCompletion | Stream[ChatCompletionChunk]:\n\u001b[32m    913\u001b[39m     validate_response_format(response_format)\n\u001b[32m--> \u001b[39m\u001b[32m914\u001b[39m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_post\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m    915\u001b[39m \u001b[43m        \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43m/chat/completions\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[32m    916\u001b[39m \u001b[43m        \u001b[49m\u001b[43mbody\u001b[49m\u001b[43m=\u001b[49m\u001b[43mmaybe_transform\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m    917\u001b[39m \u001b[43m            \u001b[49m\u001b[43m{\u001b[49m\n\u001b[32m    918\u001b[39m \u001b[43m                \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mmessages\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mmessages\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m    919\u001b[39m \u001b[43m                \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mmodel\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mmodel\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m    920\u001b[39m \u001b[43m                \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43maudio\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43maudio\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m    921\u001b[39m \u001b[43m                \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mfrequency_penalty\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mfrequency_penalty\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m    922\u001b[39m \u001b[43m                \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mfunction_call\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mfunction_call\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m    923\u001b[39m \u001b[43m                \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mfunctions\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mfunctions\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m    924\u001b[39m \u001b[43m                \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mlogit_bias\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mlogit_bias\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m    925\u001b[39m \u001b[43m                \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mlogprobs\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mlogprobs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m    926\u001b[39m \u001b[43m                \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mmax_completion_tokens\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mmax_completion_tokens\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m    927\u001b[39m \u001b[43m                \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mmax_tokens\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mmax_tokens\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m    928\u001b[39m \u001b[43m                \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mmetadata\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mmetadata\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m    929\u001b[39m \u001b[43m                \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mmodalities\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mmodalities\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m    930\u001b[39m \u001b[43m                \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mn\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mn\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m    931\u001b[39m \u001b[43m                \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mparallel_tool_calls\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mparallel_tool_calls\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m    932\u001b[39m \u001b[43m                \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mprediction\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mprediction\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m    933\u001b[39m \u001b[43m                \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mpresence_penalty\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mpresence_penalty\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m    934\u001b[39m \u001b[43m                \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mreasoning_effort\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mreasoning_effort\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m    935\u001b[39m \u001b[43m                \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mresponse_format\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m 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\u001b[49m\u001b[43moptions\u001b[49m\u001b[43m=\u001b[49m\u001b[43mmake_request_options\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m    953\u001b[39m \u001b[43m            \u001b[49m\u001b[43mextra_headers\u001b[49m\u001b[43m=\u001b[49m\u001b[43mextra_headers\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mextra_query\u001b[49m\u001b[43m=\u001b[49m\u001b[43mextra_query\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mextra_body\u001b[49m\u001b[43m=\u001b[49m\u001b[43mextra_body\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mtimeout\u001b[49m\u001b[43m=\u001b[49m\u001b[43mtimeout\u001b[49m\n\u001b[32m    954\u001b[39m \u001b[43m        \u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m    955\u001b[39m \u001b[43m        \u001b[49m\u001b[43mcast_to\u001b[49m\u001b[43m=\u001b[49m\u001b[43mChatCompletion\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m    956\u001b[39m \u001b[43m        \u001b[49m\u001b[43mstream\u001b[49m\u001b[43m=\u001b[49m\u001b[43mstream\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01mor\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[32m    957\u001b[39m \u001b[43m        \u001b[49m\u001b[43mstream_cls\u001b[49m\u001b[43m=\u001b[49m\u001b[43mStream\u001b[49m\u001b[43m[\u001b[49m\u001b[43mChatCompletionChunk\u001b[49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m    958\u001b[39m \u001b[43m    \u001b[49m\u001b[43m)\u001b[49m\n",
      "\u001b[36mFile \u001b[39m\u001b[32m~/.cache/pypoetry/virtualenvs/sciences-poc-Bw010oVJ-py3.11/lib/python3.11/site-packages/openai/_base_client.py:1242\u001b[39m, in \u001b[36mSyncAPIClient.post\u001b[39m\u001b[34m(self, path, cast_to, body, options, files, stream, stream_cls)\u001b[39m\n\u001b[32m   1228\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34mpost\u001b[39m(\n\u001b[32m   1229\u001b[39m     \u001b[38;5;28mself\u001b[39m,\n\u001b[32m   1230\u001b[39m     path: \u001b[38;5;28mstr\u001b[39m,\n\u001b[32m   (...)\u001b[39m\u001b[32m   1237\u001b[39m     stream_cls: \u001b[38;5;28mtype\u001b[39m[_StreamT] | \u001b[38;5;28;01mNone\u001b[39;00m = \u001b[38;5;28;01mNone\u001b[39;00m,\n\u001b[32m   1238\u001b[39m ) -> ResponseT | _StreamT:\n\u001b[32m   1239\u001b[39m     opts = FinalRequestOptions.construct(\n\u001b[32m   1240\u001b[39m         method=\u001b[33m\"\u001b[39m\u001b[33mpost\u001b[39m\u001b[33m\"\u001b[39m, url=path, json_data=body, files=to_httpx_files(files), **options\n\u001b[32m   1241\u001b[39m     )\n\u001b[32m-> \u001b[39m\u001b[32m1242\u001b[39m     \u001b[38;5;28;01mreturn\u001b[39;00m cast(ResponseT, \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mrequest\u001b[49m\u001b[43m(\u001b[49m\u001b[43mcast_to\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mopts\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mstream\u001b[49m\u001b[43m=\u001b[49m\u001b[43mstream\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mstream_cls\u001b[49m\u001b[43m=\u001b[49m\u001b[43mstream_cls\u001b[49m\u001b[43m)\u001b[49m)\n",
      "\u001b[36mFile \u001b[39m\u001b[32m~/.cache/pypoetry/virtualenvs/sciences-poc-Bw010oVJ-py3.11/lib/python3.11/site-packages/openai/_base_client.py:919\u001b[39m, in \u001b[36mSyncAPIClient.request\u001b[39m\u001b[34m(self, cast_to, options, remaining_retries, stream, stream_cls)\u001b[39m\n\u001b[32m    916\u001b[39m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[32m    917\u001b[39m     retries_taken = \u001b[32m0\u001b[39m\n\u001b[32m--> \u001b[39m\u001b[32m919\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_request\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m    920\u001b[39m \u001b[43m    \u001b[49m\u001b[43mcast_to\u001b[49m\u001b[43m=\u001b[49m\u001b[43mcast_to\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m    921\u001b[39m \u001b[43m    \u001b[49m\u001b[43moptions\u001b[49m\u001b[43m=\u001b[49m\u001b[43moptions\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m    922\u001b[39m \u001b[43m    \u001b[49m\u001b[43mstream\u001b[49m\u001b[43m=\u001b[49m\u001b[43mstream\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m    923\u001b[39m \u001b[43m    \u001b[49m\u001b[43mstream_cls\u001b[49m\u001b[43m=\u001b[49m\u001b[43mstream_cls\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m    924\u001b[39m \u001b[43m    \u001b[49m\u001b[43mretries_taken\u001b[49m\u001b[43m=\u001b[49m\u001b[43mretries_taken\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m    925\u001b[39m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n",
      "\u001b[36mFile \u001b[39m\u001b[32m~/.cache/pypoetry/virtualenvs/sciences-poc-Bw010oVJ-py3.11/lib/python3.11/site-packages/openai/_base_client.py:1008\u001b[39m, in \u001b[36mSyncAPIClient._request\u001b[39m\u001b[34m(self, cast_to, options, retries_taken, stream, stream_cls)\u001b[39m\n\u001b[32m   1006\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m remaining_retries > \u001b[32m0\u001b[39m \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28mself\u001b[39m._should_retry(err.response):\n\u001b[32m   1007\u001b[39m     err.response.close()\n\u001b[32m-> \u001b[39m\u001b[32m1008\u001b[39m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_retry_request\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m   1009\u001b[39m \u001b[43m        \u001b[49m\u001b[43minput_options\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m   1010\u001b[39m \u001b[43m        \u001b[49m\u001b[43mcast_to\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m   1011\u001b[39m \u001b[43m        \u001b[49m\u001b[43mretries_taken\u001b[49m\u001b[43m=\u001b[49m\u001b[43mretries_taken\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m   1012\u001b[39m \u001b[43m        \u001b[49m\u001b[43mresponse_headers\u001b[49m\u001b[43m=\u001b[49m\u001b[43merr\u001b[49m\u001b[43m.\u001b[49m\u001b[43mresponse\u001b[49m\u001b[43m.\u001b[49m\u001b[43mheaders\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m   1013\u001b[39m \u001b[43m        \u001b[49m\u001b[43mstream\u001b[49m\u001b[43m=\u001b[49m\u001b[43mstream\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m   1014\u001b[39m \u001b[43m        \u001b[49m\u001b[43mstream_cls\u001b[49m\u001b[43m=\u001b[49m\u001b[43mstream_cls\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m   1015\u001b[39m \u001b[43m    \u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m   1017\u001b[39m \u001b[38;5;66;03m# If the response is streamed then we need to explicitly read the response\u001b[39;00m\n\u001b[32m   1018\u001b[39m \u001b[38;5;66;03m# to completion before attempting to access the response text.\u001b[39;00m\n\u001b[32m   1019\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m err.response.is_closed:\n",
      "\u001b[36mFile \u001b[39m\u001b[32m~/.cache/pypoetry/virtualenvs/sciences-poc-Bw010oVJ-py3.11/lib/python3.11/site-packages/openai/_base_client.py:1057\u001b[39m, in \u001b[36mSyncAPIClient._retry_request\u001b[39m\u001b[34m(self, options, cast_to, retries_taken, response_headers, stream, stream_cls)\u001b[39m\n\u001b[32m   1053\u001b[39m \u001b[38;5;66;03m# In a synchronous context we are blocking the entire thread. Up to the library user to run the client in a\u001b[39;00m\n\u001b[32m   1054\u001b[39m \u001b[38;5;66;03m# different thread if necessary.\u001b[39;00m\n\u001b[32m   1055\u001b[39m time.sleep(timeout)\n\u001b[32m-> \u001b[39m\u001b[32m1057\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_request\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m   1058\u001b[39m \u001b[43m    \u001b[49m\u001b[43moptions\u001b[49m\u001b[43m=\u001b[49m\u001b[43moptions\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m   1059\u001b[39m \u001b[43m    \u001b[49m\u001b[43mcast_to\u001b[49m\u001b[43m=\u001b[49m\u001b[43mcast_to\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m   1060\u001b[39m \u001b[43m    \u001b[49m\u001b[43mretries_taken\u001b[49m\u001b[43m=\u001b[49m\u001b[43mretries_taken\u001b[49m\u001b[43m \u001b[49m\u001b[43m+\u001b[49m\u001b[43m \u001b[49m\u001b[32;43m1\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[32m   1061\u001b[39m \u001b[43m    \u001b[49m\u001b[43mstream\u001b[49m\u001b[43m=\u001b[49m\u001b[43mstream\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m   1062\u001b[39m \u001b[43m    \u001b[49m\u001b[43mstream_cls\u001b[49m\u001b[43m=\u001b[49m\u001b[43mstream_cls\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m   1063\u001b[39m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n",
      "\u001b[36mFile \u001b[39m\u001b[32m~/.cache/pypoetry/virtualenvs/sciences-poc-Bw010oVJ-py3.11/lib/python3.11/site-packages/openai/_base_client.py:1008\u001b[39m, in \u001b[36mSyncAPIClient._request\u001b[39m\u001b[34m(self, cast_to, options, retries_taken, stream, stream_cls)\u001b[39m\n\u001b[32m   1006\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m remaining_retries > \u001b[32m0\u001b[39m \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28mself\u001b[39m._should_retry(err.response):\n\u001b[32m   1007\u001b[39m     err.response.close()\n\u001b[32m-> \u001b[39m\u001b[32m1008\u001b[39m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_retry_request\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m   1009\u001b[39m \u001b[43m        \u001b[49m\u001b[43minput_options\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m   1010\u001b[39m \u001b[43m        \u001b[49m\u001b[43mcast_to\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m   1011\u001b[39m \u001b[43m        \u001b[49m\u001b[43mretries_taken\u001b[49m\u001b[43m=\u001b[49m\u001b[43mretries_taken\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m   1012\u001b[39m \u001b[43m        \u001b[49m\u001b[43mresponse_headers\u001b[49m\u001b[43m=\u001b[49m\u001b[43merr\u001b[49m\u001b[43m.\u001b[49m\u001b[43mresponse\u001b[49m\u001b[43m.\u001b[49m\u001b[43mheaders\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m   1013\u001b[39m \u001b[43m        \u001b[49m\u001b[43mstream\u001b[49m\u001b[43m=\u001b[49m\u001b[43mstream\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m   1014\u001b[39m \u001b[43m        \u001b[49m\u001b[43mstream_cls\u001b[49m\u001b[43m=\u001b[49m\u001b[43mstream_cls\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m   1015\u001b[39m \u001b[43m    \u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m   1017\u001b[39m \u001b[38;5;66;03m# If the response is streamed then we need to explicitly read the response\u001b[39;00m\n\u001b[32m   1018\u001b[39m \u001b[38;5;66;03m# to completion before attempting to access the response text.\u001b[39;00m\n\u001b[32m   1019\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m err.response.is_closed:\n",
      "\u001b[36mFile \u001b[39m\u001b[32m~/.cache/pypoetry/virtualenvs/sciences-poc-Bw010oVJ-py3.11/lib/python3.11/site-packages/openai/_base_client.py:1057\u001b[39m, in \u001b[36mSyncAPIClient._retry_request\u001b[39m\u001b[34m(self, options, cast_to, retries_taken, response_headers, stream, stream_cls)\u001b[39m\n\u001b[32m   1053\u001b[39m \u001b[38;5;66;03m# In a synchronous context we are blocking the entire thread. Up to the library user to run the client in a\u001b[39;00m\n\u001b[32m   1054\u001b[39m \u001b[38;5;66;03m# different thread if necessary.\u001b[39;00m\n\u001b[32m   1055\u001b[39m time.sleep(timeout)\n\u001b[32m-> \u001b[39m\u001b[32m1057\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_request\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m   1058\u001b[39m \u001b[43m    \u001b[49m\u001b[43moptions\u001b[49m\u001b[43m=\u001b[49m\u001b[43moptions\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m   1059\u001b[39m \u001b[43m    \u001b[49m\u001b[43mcast_to\u001b[49m\u001b[43m=\u001b[49m\u001b[43mcast_to\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m   1060\u001b[39m \u001b[43m    \u001b[49m\u001b[43mretries_taken\u001b[49m\u001b[43m=\u001b[49m\u001b[43mretries_taken\u001b[49m\u001b[43m \u001b[49m\u001b[43m+\u001b[49m\u001b[43m \u001b[49m\u001b[32;43m1\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[32m   1061\u001b[39m \u001b[43m    \u001b[49m\u001b[43mstream\u001b[49m\u001b[43m=\u001b[49m\u001b[43mstream\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m   1062\u001b[39m \u001b[43m    \u001b[49m\u001b[43mstream_cls\u001b[49m\u001b[43m=\u001b[49m\u001b[43mstream_cls\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m   1063\u001b[39m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n",
      "\u001b[36mFile \u001b[39m\u001b[32m~/.cache/pypoetry/virtualenvs/sciences-poc-Bw010oVJ-py3.11/lib/python3.11/site-packages/openai/_base_client.py:1023\u001b[39m, in \u001b[36mSyncAPIClient._request\u001b[39m\u001b[34m(self, cast_to, options, retries_taken, stream, stream_cls)\u001b[39m\n\u001b[32m   1020\u001b[39m         err.response.read()\n\u001b[32m   1022\u001b[39m     log.debug(\u001b[33m\"\u001b[39m\u001b[33mRe-raising status error\u001b[39m\u001b[33m\"\u001b[39m)\n\u001b[32m-> \u001b[39m\u001b[32m1023\u001b[39m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;28mself\u001b[39m._make_status_error_from_response(err.response) \u001b[38;5;28;01mfrom\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[32m   1025\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m._process_response(\n\u001b[32m   1026\u001b[39m     cast_to=cast_to,\n\u001b[32m   1027\u001b[39m     options=options,\n\u001b[32m   (...)\u001b[39m\u001b[32m   1031\u001b[39m     retries_taken=retries_taken,\n\u001b[32m   1032\u001b[39m )\n",
      "\u001b[31mRateLimitError\u001b[39m: Error code: 429 - {'error': {'message': 'You exceeded your current quota, please check your plan and billing details. For more information on this error, read the docs: https://platform.openai.com/docs/guides/error-codes/api-errors.', 'type': 'insufficient_quota', 'param': None, 'code': 'insufficient_quota'}}"
     ]
    }
   ],
   "source": [
    "with open('/home/sagemaker-user/Sciences-POC/config/mapping_prompts.txt', 'r') as f : \n",
    "    mapping = json.loads(f.read())\n",
    "\n",
    "for name in mapping.keys():\n",
    "    print(name)\n",
    "    retrieve_classifications(name, mapping)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Ajouter images"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": ".venv",
   "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": "3.11.11"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
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