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   "id": "132a1aa1-4cb9-49e7-9f45-c09dd8fd57c1",
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   "source": [
    "import os\n",
    "import s3fs\n",
    "import pandas as pd\n",
    "\n",
    "s3_ENDPOINT_URL = \"https://\" + os.environ[\"AWS_S3_ENDPOINT\"]\n",
    "\n",
    "fs = s3fs.S3FileSystem(client_kwargs={'endpoint_url': s3_ENDPOINT_URL})\n",
    "\n",
    "BUCKET = \"projet-bdc-data\"\n",
    "carmignac_path = \"projet-bdc-data/carmignac\"\n",
    "\n",
    "# Liste des fichiers AUM\n",
    "all_files = fs.ls(carmignac_path)\n",
    "aum_files = [f for f in all_files if \"AUM\" in f and f.endswith(\".csv\")]\n",
    "print(\"Fichiers AUM :\", aum_files)\n",
    "\n",
    "# Lire tous les fichiers dans un dictionnaire\n",
    "aum_data = {}\n",
    "for file_path in aum_files:\n",
    "    with fs.open(file_path, 'r') as f:\n",
    "        df = pd.read_csv(f, sep=';',low_memory=False)\n",
    "        aum_data[os.path.basename(file_path)] = df\n",
    "\n",
    "df = aum_data['AUM ENSAE V2 -20251105.csv']"
   ]
  }
 ],
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