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            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Collecting faiss-gpu\n",
            "  Downloading faiss_gpu-1.7.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (85.5 MB)\n",
            "\u001b[K     |████████████████████████████████| 85.5 MB 1.2 MB/s \n",
            "\u001b[?25hInstalling collected packages: faiss-gpu\n",
            "Successfully installed faiss-gpu-1.7.2\n"
          ]
        }
      ]
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          "text": [
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Collecting sentence-transformers\n",
            "  Downloading sentence-transformers-2.2.2.tar.gz (85 kB)\n",
            "\u001b[K     |████████████████████████████████| 85 kB 4.6 MB/s \n",
            "\u001b[?25hCollecting transformers<5.0.0,>=4.6.0\n",
            "  Downloading transformers-4.25.1-py3-none-any.whl (5.8 MB)\n",
            "\u001b[K     |████████████████████████████████| 5.8 MB 63.9 MB/s \n",
            "\u001b[?25hRequirement already satisfied: tqdm in /usr/local/lib/python3.8/dist-packages (from sentence-transformers) (4.64.1)\n",
            "Requirement already satisfied: torch>=1.6.0 in /usr/local/lib/python3.8/dist-packages (from sentence-transformers) (1.12.1+cu113)\n",
            "Requirement already satisfied: torchvision in /usr/local/lib/python3.8/dist-packages (from sentence-transformers) (0.13.1+cu113)\n",
            "Requirement already satisfied: numpy in /usr/local/lib/python3.8/dist-packages (from sentence-transformers) (1.21.6)\n",
            "Requirement already satisfied: scikit-learn in /usr/local/lib/python3.8/dist-packages (from sentence-transformers) (1.0.2)\n",
            "Requirement already satisfied: scipy in /usr/local/lib/python3.8/dist-packages (from sentence-transformers) (1.7.3)\n",
            "Requirement already satisfied: nltk in /usr/local/lib/python3.8/dist-packages (from sentence-transformers) (3.7)\n",
            "Collecting sentencepiece\n",
            "  Downloading sentencepiece-0.1.97-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.3 MB)\n",
            "\u001b[K     |████████████████████████████████| 1.3 MB 57.1 MB/s \n",
            "\u001b[?25hCollecting huggingface-hub>=0.4.0\n",
            "  Downloading huggingface_hub-0.11.1-py3-none-any.whl (182 kB)\n",
            "\u001b[K     |████████████████████████████████| 182 kB 65.5 MB/s \n",
            "\u001b[?25hRequirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.8/dist-packages (from huggingface-hub>=0.4.0->sentence-transformers) (6.0)\n",
            "Requirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.8/dist-packages (from huggingface-hub>=0.4.0->sentence-transformers) (4.1.1)\n",
            "Requirement already satisfied: filelock in /usr/local/lib/python3.8/dist-packages (from huggingface-hub>=0.4.0->sentence-transformers) (3.8.0)\n",
            "Requirement already satisfied: requests in /usr/local/lib/python3.8/dist-packages (from huggingface-hub>=0.4.0->sentence-transformers) (2.23.0)\n",
            "Requirement already satisfied: packaging>=20.9 in /usr/local/lib/python3.8/dist-packages (from huggingface-hub>=0.4.0->sentence-transformers) (21.3)\n",
            "Requirement already satisfied: pyparsing!=3.0.5,>=2.0.2 in /usr/local/lib/python3.8/dist-packages (from packaging>=20.9->huggingface-hub>=0.4.0->sentence-transformers) (3.0.9)\n",
            "Collecting tokenizers!=0.11.3,<0.14,>=0.11.1\n",
            "  Downloading tokenizers-0.13.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (7.6 MB)\n",
            "\u001b[K     |████████████████████████████████| 7.6 MB 49.0 MB/s \n",
            "\u001b[?25hRequirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.8/dist-packages (from transformers<5.0.0,>=4.6.0->sentence-transformers) (2022.6.2)\n",
            "Requirement already satisfied: click in /usr/local/lib/python3.8/dist-packages (from nltk->sentence-transformers) (7.1.2)\n",
            "Requirement already satisfied: joblib in /usr/local/lib/python3.8/dist-packages (from nltk->sentence-transformers) (1.2.0)\n",
            "Requirement already satisfied: idna<3,>=2.5 in /usr/local/lib/python3.8/dist-packages (from requests->huggingface-hub>=0.4.0->sentence-transformers) (2.10)\n",
            "Requirement already satisfied: chardet<4,>=3.0.2 in /usr/local/lib/python3.8/dist-packages (from requests->huggingface-hub>=0.4.0->sentence-transformers) (3.0.4)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.8/dist-packages (from requests->huggingface-hub>=0.4.0->sentence-transformers) (2022.9.24)\n",
            "Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /usr/local/lib/python3.8/dist-packages (from requests->huggingface-hub>=0.4.0->sentence-transformers) (1.24.3)\n",
            "Requirement already satisfied: threadpoolctl>=2.0.0 in /usr/local/lib/python3.8/dist-packages (from scikit-learn->sentence-transformers) (3.1.0)\n",
            "Requirement already satisfied: pillow!=8.3.*,>=5.3.0 in /usr/local/lib/python3.8/dist-packages (from torchvision->sentence-transformers) (7.1.2)\n",
            "Building wheels for collected packages: sentence-transformers\n",
            "  Building wheel for sentence-transformers (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for sentence-transformers: filename=sentence_transformers-2.2.2-py3-none-any.whl size=125938 sha256=4c0031227ca4609b6e78eca23cf0a25e730c2e5ca461e3bac6833ca13ae3e561\n",
            "  Stored in directory: /root/.cache/pip/wheels/5e/6f/8c/d88aec621f3f542d26fac0342bef5e693335d125f4e54aeffe\n",
            "Successfully built sentence-transformers\n",
            "Installing collected packages: tokenizers, huggingface-hub, transformers, sentencepiece, sentence-transformers\n",
            "Successfully installed huggingface-hub-0.11.1 sentence-transformers-2.2.2 sentencepiece-0.1.97 tokenizers-0.13.2 transformers-4.25.1\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from ast import literal_eval\n",
        "import pandas as pd\n",
        "import numpy as np\n",
        "import warnings\n",
        "from sklearn.metrics.pairwise import cosine_similarity\n",
        "from sklearn.feature_extraction.text import TfidfVectorizer\n",
        "from sklearn.decomposition import TruncatedSVD\n",
        "from scipy.sparse import csr_matrix\n",
        "import faiss\n",
        "\n",
        "import random\n",
        "from sentence_transformers import SentenceTransformer\n",
        "\n",
        "warnings.filterwarnings(action='ignore')\n",
        "\n",
        "books = pd.read_csv('/content/drive/MyDrive/books_mod_fin', encoding='utf-8')\n",
        "books = books.replace({np.nan: 'none'})\n",
        "\n",
        "\n",
        "books_df_nax=books.dropna(axis='rows')\n",
        "\n",
        "\n",
        "tfidf = TfidfVectorizer(stop_words='english')\n",
        "\n",
        "\n",
        "\n",
        "def find_sim_books(U):\n",
        "    def userbooks(A):\n",
        "        x=books_df_nax['isbn'].tolist()\n",
        "        l=len(A)\n",
        "        BD=[]\n",
        "        for i in range(l):\n",
        "            if A[i] in x:\n",
        "              BD.append(A[i])\n",
        "        l2=len(BD)\n",
        "        n=random.randrange(0,l2)\n",
        "        return BD[n]\n",
        "\n",
        "    # 사용자의 isbn 데이터를 담은 책 리스트를 input으로 받아 그 리스트 중 하나를 반환하는 함수\n",
        "    # B = 사용자 데이터에서 랜덤 추출한 책의 isbn \n",
        "    B=userbooks(U) \n",
        "\n",
        "\n",
        "    def sim_idx_with_A(df,isbn):\n",
        "        k=df[df['isbn']==isbn]['kdc'].item()\n",
        "        n=int(df[df['isbn']==isbn]['des_cluster'])\n",
        "        if n==280:\n",
        "          m=int(df[df['isbn']==isbn]['tit_cluster'])\n",
        "          same_clu_books_df=df[df['tit_cluster']==m]\n",
        "\n",
        "        else: \n",
        "          same_clu_books_df=df[df['des_cluster']==n]\n",
        "\n",
        "        sen = same_clu_books_df['content']\n",
        "\n",
        "        kdc_same_vect=[0 for i in range(len(sen))]\n",
        "        for i in range(len(sen)):\n",
        "          if same_clu_books_df[i:i+1]['kdc'].item()==k:\n",
        "            kdc_same_vect[i]=0.05\n",
        "        \n",
        "\n",
        "\n",
        "        # 1번 후보 : sentence transformer 유사도 구하기\n",
        "        model = SentenceTransformer('sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2')\n",
        "        sen_array = sen.to_numpy()\n",
        "        sen_embeddings = model.encode(sen_array)\n",
        "        clu_des_sim=cosine_similarity(sen_embeddings,sen_embeddings)\n",
        "\n",
        "        # kdc 가 같으면 보너스 점수 주기 \n",
        "    \n",
        "        # 2번 후보 : 단순 tfidf 활용한 유사도 구하기\n",
        "        # clu_tfidf = tfidf.fit_transform(sen)\n",
        "        # clu_des_sim=cosine_similarity(clu_tfidf,clu_tfidf)\n",
        "\n",
        "\n",
        "        idx=np.where(same_clu_books_df['isbn']==B)[0][0]\n",
        "        books_sim_vect=clu_des_sim[idx:idx+1]\n",
        "        sim_vect_plus_w=books_sim_vect+kdc_same_vect\n",
        "        books_des_sim_idx = sim_vect_plus_w.argsort()[::-1]\n",
        "\n",
        "\n",
        "        return books_des_sim_idx\n",
        "\n",
        "    # 사용자 책 리스트에서 랜덤 추출한 책 기준 유사한 책 인덱스 리스트 반환\n",
        "    sim_books_idx=sim_idx_with_A(books_df_nax,B)\n",
        "\n",
        "    top_n=20\n",
        "    top_sim_idx=sim_books_idx[0][:top_n]\n",
        "    top_sim_idx=top_sim_idx.reshape(-1,)\n",
        "\n",
        "    sim_books=books_df_nax.iloc[top_sim_idx]\n",
        "    # 데이터프레임이 content, thumbnail column을 포함한다면\n",
        "    outputs=sim_books[['isbn','title','author','content','thumbnail','publisher','kdc','price']]\n",
        "    # outputs=sim_books[['title','author','img_url','publisher','kdc_class_no','price']]\n",
        "    outputs_dic=outputs.to_dict('records')\n",
        "\n",
        "    return outputs_dic"
      ],
      "metadata": {
        "id": "k1MYPKjR4cF7"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "find_sim_books([9788990008343])"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "JKkaYA6D-QY8",
        "outputId": "f787e853-3d4d-4375-e3a8-a24c54f97e72"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "233\n",
            "1529\n",
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          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[{'isbn': 9788997348756,\n",
              "  'title': '카페 인테리어 싸게 하기',\n",
              "  'author': '이민 (지은이)',\n",
              "  'content': '『카페 인테리어 싸게 하기』는 홍대의 ‘에티오피아’, 효창동 마다가스카르’, 금호동 ‘커피 브레이크 위드 새미’, 당산동 ‘커피 체리’, 삼성동 ‘카페 네프’ 등 인테리어 공사를 직접한 저자의 카페 인테리어 싸게 직접 하는 방법과 현장 사진, 노하우를 소개하고 있다.',\n",
              "  'thumbnail': 'https://image.aladin.co.kr/product/10630/42/cover/e899734824_2.jpg',\n",
              "  'publisher': '푸른영토',\n",
              "  'kdc': '619.5',\n",
              "  'price': '8900.0'},\n",
              " {'isbn': 9788991307520,\n",
              "  'title': '김현석의 전공일반사회',\n",
              "  'author': '김현석 (지은이)',\n",
              "  'content': \"중등임용고시 대비 전공일반사회 수험서. 이 책은 7차 교육과정에 맞춘 정치, 사회문화, 법, 경제의 방대한 양을 한 권에 압축 정리하여 수험생들이 효과적으로 학습할 수 있도록 하였다. 특히 중요사항을 표로 보기 좋게 정리하고, '참고'를 통해 놓치기 쉬운 부분을 짚어 주어 학습효과를 더욱 높일 수 있도록...\",\n",
              "  'thumbnail': 'https://image.aladin.co.kr/product/64/78/cover/8991307523_1.jpg',\n",
              "  'publisher': '북타운',\n",
              "  'kdc': '330.76',\n",
              "  'price': '20000.0'},\n",
              " {'isbn': 9780578990385,\n",
              "  'title': 'I love you more than worms love dirt (Hardcover)',\n",
              "  'author': 'John Sisco (지은이)',\n",
              "  'content': 'I Love You More Than... creates a happy, loving atmosphere where imaginations soar.Inspired by the goodnight ritual of a father and his two young daughters, this account propels the imagination of young children far beyond a simple &quot;Goodnight, I love you.&quot; This book series...',\n",
              "  'thumbnail': 'https://image.aladin.co.kr/product/28034/64/cover/0578990385_2.jpg',\n",
              "  'publisher': 'John Sisco',\n",
              "  'kdc': '843',\n",
              "  'price': '29730.0'},\n",
              " {'isbn': 9780689865343,\n",
              "  'title': 'The Dollhouse Mystery (Paperback)',\n",
              "  'author': 'Carolyn Keene (지은이), Jan Naimo Jones (그림)',\n",
              "  'content': \"For walking wealthy Mrs. Rutledge's dog, Nancy gets to play with Mrs. Rutledge's beautiful antique doll house. When five pieces of antique doll house furniture disappear, Nancy must use her detective skills. Illustrations.\",\n",
              "  'thumbnail': 'https://image.aladin.co.kr/product/119/61/cover/0689865341_1.jpg',\n",
              "  'publisher': 'Aladdin',\n",
              "  'kdc': '843',\n",
              "  'price': '4870.0'},\n",
              " {'isbn': 9791161755854,\n",
              "  'title': 'Selenium을 활용한 테스트 자동화 2/e - W3C 표준 웹드라이버로 만드는 테스트 스크립트',\n",
              "  'author': '언메시 건데차, 사티야 아바사알라 (지은이), 김유성 (옮긴이)',\n",
              "  'content': '셀레늄 3에서 개선된 점을 살펴보고 셀레늄에서 자바 8 API를 활용하는 방법을 알아본다. 기본 사용법부터 조금 더 복잡한 사용자 액션까지 설명한 후, 리모트 웹드라이버와 셀레늄 그리드로 원격지의 브라우저에서 테스트를 실행하는 방법 등을 살펴본다.',\n",
              "  'thumbnail': 'https://image.aladin.co.kr/product/28328/68/cover/k052835805_2.jpg',\n",
              "  'publisher': '에이콘출판',\n",
              "  'kdc': '5.14',\n",
              "  'price': '30000.0'},\n",
              " {'isbn': 9780358193326,\n",
              "  'title': 'School of Phantoms (Hardcover)',\n",
              "  'author': 'Kory Merritt (지은이)',\n",
              "  'content': 'In thisspine-tingling follow-up to No Place for Monsters, whichDiary of a Wimpy Kid author Jeff Kinney called wildly imaginative and totally terrifying,a group of unlikely friends must band together to protect their town from the monsters that are threatening to destroy it....',\n",
              "  'thumbnail': 'https://image.aladin.co.kr/product/26572/68/cover/035819332x_2.jpg',\n",
              "  'publisher': 'Houghton Mifflin',\n",
              "  'kdc': '843',\n",
              "  'price': '22480.0'},\n",
              " {'isbn': 9791165042110,\n",
              "  'title': '감사 - 내 삶을 변화시키는 가장 강력한 능력',\n",
              "  'author': '이찬수 (지은이), 장한빛 (낭독)',\n",
              "  'content': '가장 힘든 지금, 감사가 가장 필요한 순간이다. 오늘 미리 드리는 감사가 내일의 기적을 가져다주는 능력이 된다.',\n",
              "  'thumbnail': 'https://image.aladin.co.kr/product/27040/54/cover/e132538805_1.jpg',\n",
              "  'publisher': '규장(규장문화사)',\n",
              "  'kdc': '234.8',\n",
              "  'price': 'none'},\n",
              " {'isbn': 9791163987383,\n",
              "  'title': '불멸의 날들 4',\n",
              "  'author': '허긴개 (지은이)',\n",
              "  'content': '딸이 납치되었다는 의뢰를 받은 필. 하지만 정작 의뢰인의 딸은 자신이 납치된 것이 아니라고 하는데…. 모녀는 권력을 사이에 두고 대립한다. 또 다른 해결사들이 등장하면서 사건은 새로운 국면을 맞이하는 와중, 인질로 붙잡힌 멸을 구해 줄 사람은 누구?',\n",
              "  'thumbnail': 'https://image.aladin.co.kr/product/27982/30/cover/k662734228_1.jpg',\n",
              "  'publisher': '레진코믹스(레진엔터테인먼트)',\n",
              "  'kdc': '813.7',\n",
              "  'price': '13000.0'},\n",
              " {'isbn': 9791195419449,\n",
              "  'title': '수랏 샤브드 요가 - 천상의 소리 요가, 개정판',\n",
              "  'author': '산트 키르팔 싱 (지은이), (사)한국KTS명상회 (옮긴이)',\n",
              "  'content': \"카르마 요가, 즈나나 요가와 같이 대중적으로 널리 알려져 있는 요가 방법의 한계점을 지적하며, 이를 대신할 방법론으로 '수랏 샤브드 요가(Surat Shabd Yoga)'를 소개한 책.\",\n",
              "  'thumbnail': 'https://image.aladin.co.kr/product/22696/96/cover/k872636132_1.jpg',\n",
              "  'publisher': '한국에디션나암',\n",
              "  'kdc': '155',\n",
              "  'price': '5000.0'},\n",
              " {'isbn': 9781538745120,\n",
              "  'title': 'Market Mover: Lessons from a Decade of Change at NASDAQ (Paperback) - 『시장을 움직이는 손』원서',\n",
              "  'author': 'Robert Greifeld (지은이)',\n",
              "  'content': \"The former CEO and Chairman of Nasdaq shares insights and lessons learned from one of the world's largest stock exchanges, detailing the company's transformation from a fledgling U.S. equities market to a global financial technology company. &#x0D;&#x0D;During 2003, the U.S....\",\n",
              "  'thumbnail': 'https://image.aladin.co.kr/product/24203/92/cover/1538745127_2.jpg',\n",
              "  'publisher': 'Grand Central Publishing',\n",
              "  'kdc': '327.85',\n",
              "  'price': '22400.0'},\n",
              " {'isbn': 9791166782107,\n",
              "  'title': '영어 공부 이렇게 하면 반드시 망한다!!!',\n",
              "  'author': '오스틴 박',\n",
              "  'content': '안녕하세요^^저는 영어 공부를 수년간 했는데도 결과가 좋지 않아 실망하셨던 모든 분들께 영어 공부가 그토록 어려울 수 밖에 없었던 이유와 그 해결 방법에 대해 알려 드리고자 이 책을 쓰게 되었습니다.지금도 수많은 사람들은 자신들이 잘못된 지식과 잘못된 방법으로 가르침 받은 피해자라는 사실을 모르고...',\n",
              "  'thumbnail': 'https://bookthumb-phinf.pstatic.net/cover/180/071/18007109.jpg?type=m1&udate=20210307',\n",
              "  'publisher': '유페이퍼',\n",
              "  'kdc': '740.7',\n",
              "  'price': '7000.0'},\n",
              " {'isbn': 9791156759096,\n",
              "  'title': '[큰글자도서] 그건, 사랑이었네',\n",
              "  'author': '한비야 (지은이)',\n",
              "  'content': '국제 NGO 월드비전을 그만두고, 이제 그녀는 다시 새로운 문 앞에 섰다. 그것은 바로 인도적 지원 분야에 있어서 세계 최고의 권위를 인정받는 미국의 터프츠대학교에서 전문적 지식을 쌓는 것이다. 한 시기를 통과하고 잠시 집으로 돌아온 그녀는, 언니와 누나로서 많은 이야기를 풀어놓는다.',\n",
              "  'thumbnail': 'https://image.aladin.co.kr/product/28344/49/cover/k512835104_1.jpg',\n",
              "  'publisher': '푸른숲',\n",
              "  'kdc': '818',\n",
              "  'price': '32000.0'},\n",
              " {'isbn': 9791168150065,\n",
              "  'title': '그만해라 가을산 무너지겠다',\n",
              "  'author': '신영옥 (지은이)',\n",
              "  'content': '황금알 시인선 237권. 봄꽃에서 시작하여 겨울 꽃에 이르기까지 온통 꽃 천지의 시들로 가득 차 있다. 그래서 그런지 신영옥의 꽃의 시정은 생명적이고 열락적이다. 그녀가 보는 자연 세계의 꽃은 원초적이고, 생명적인 의미본질을 지니고 있는 것으로 본다.',\n",
              "  'thumbnail': 'https://image.aladin.co.kr/product/28356/27/cover/k272835307_1.jpg',\n",
              "  'publisher': '황금알',\n",
              "  'kdc': '811.6',\n",
              "  'price': '10000.0'},\n",
              " {'isbn': 9791196956592,\n",
              "  'title': '천일야화 - 그래픽 노블',\n",
              "  'author': '김희범 (지은이)',\n",
              "  'content': '유튜브 최고 조회 수 480만 회, 좋아요 4만8천 개를 기록한 [신전TV]의 『천일야화』가 드디어 책으로 출간됐다. 그래픽 노블의 형식을 빌려 누구나 한 번쯤은 들어봤을 아랍의 고전 설화 [아라비안나이트]를 현대적으로 재해석했다.',\n",
              "  'thumbnail': 'https://image.aladin.co.kr/product/28394/63/cover/k432835910_2.jpg',\n",
              "  'publisher': 'CCC(씨씨씨)',\n",
              "  'kdc': '897.7',\n",
              "  'price': '17000.0'},\n",
              " {'isbn': 9781975333867,\n",
              "  'title': 'The Miracles of the Namiya General Store (Paperback)',\n",
              "  'author': 'Keigo Higashino (지은이)',\n",
              "  'content': 'WHEN THREE DELINQUENTS HOLE UP IN AN ABANDONED GENERAL STORE AFTER THEIR MOST RECENTROBBERY, TO THEIR GREAT SURPRISE, A LETTER DROPS THROUGH THE MAIL SLOT IN THE STORE’SSHUTTER. THIS SEEMINGLY SIMPLE REQUEST FOR ADVICE SETS THE TRIO ON A JOURNEY OFDISCOVERY AS, OVER THE...',\n",
              "  'thumbnail': 'https://image.aladin.co.kr/product/26309/53/cover/1975333861_2.jpg',\n",
              "  'publisher': 'Yen Press',\n",
              "  'kdc': '843.6',\n",
              "  'price': '19950.0'},\n",
              " {'isbn': 9791190200431,\n",
              "  'title': '신화와 미신, 그 끝없는 이야기',\n",
              "  'author': '새뮤얼 애덤스 드레이크 (지은이), 윤경미 (옮긴이)',\n",
              "  'content': '미신을 주제별로 분류해 전래 동화나 동요, 놀이 등에 등장하는 미신에서부터 날씨, 결혼, 보석, 불운, 건강, 자연, 유령이나 악마, 꿈, 점이나 점성술 및 손금 등도 소개해 놓았다. 13일의 금요일이나 숫자 3과 관련된 것 등 잘 알려진 미신뿐만 아니라, 매우 신선하고 낯선 것도 많다.',\n",
              "  'thumbnail': 'https://image.aladin.co.kr/product/27890/33/cover/e782538653_1.jpg',\n",
              "  'publisher': '책읽는귀족',\n",
              "  'kdc': '219',\n",
              "  'price': 'none'},\n",
              " {'isbn': 9788946473768,\n",
              "  'title': '비밀 지도',\n",
              "  'author': '조경숙 (지은이), 안재선 (그림), 이지수 (감수)',\n",
              "  'content': \"샘터역사동화 시리즈. 2019 방정환문학상 수상자 조경숙 작가가 실존 인물 '이소바야시'의 비밀스런 행적을 토대로 상상력을 발휘해 쓴 숨 막히는 역사 첩보 동화이다. 역사 전문가인 이지수 감수자의 철저한 고증을 통해 그림까지도 감수를 거쳐 완성된 동화이다.\",\n",
              "  'thumbnail': 'https://image.aladin.co.kr/product/27843/76/cover/e702538950_1.jpg',\n",
              "  'publisher': '샘터사',\n",
              "  'kdc': '813.7',\n",
              "  'price': 'none'},\n",
              " {'isbn': 9788987153056,\n",
              "  'title': '깡통 로봇 R3-M - 입체종이공작시리즈 2',\n",
              "  'author': '작크와콩나무 편집부 (엮은이)',\n",
              "  'content': '국내 최초 교향악단을 지휘한 깡통로봇 R3-M의 실제모델을 3D입체제작하여 그대로 완벽하게 축소 제작한 종이모형을 가지고, 평면 위에 인쇄된 점과 선과 면들을 직접 절단하고 조립하는 과정을 거치면서 어린이들이 사고력과 표현력, 공간구성력 등의 IQ. EQ 지수를 향상시킬 수 있도록 기획제작했다.',\n",
              "  'thumbnail': 'https://image.aladin.co.kr/product/86/89/cover/8987153053_1.jpg',\n",
              "  'publisher': '작크와콩나무',\n",
              "  'kdc': '813.6',\n",
              "  'price': '7500.0'},\n",
              " {'isbn': 9781433836848,\n",
              "  'title': 'When Nana Dances (Hardcover)',\n",
              "  'author': '제인 욜런 (지은이)',\n",
              "  'content': 'This lively story will leap into the hearts of kids and their grandparents alike as it celebrates intergenerational relationships in rhyming text. Nana can make any object a dancing partner. This fun story is filled with the movement, energy, and laughter that comes when...',\n",
              "  'thumbnail': 'https://image.aladin.co.kr/product/26856/12/cover/143383684x_2.jpg',\n",
              "  'publisher': 'American Psychological Association',\n",
              "  'kdc': '843',\n",
              "  'price': '25690.0'},\n",
              " {'isbn': 9791157747061,\n",
              "  'title': '페이스북은 어떻게 우리를 단절시키고 민주주의를 훼손하는가 - 민주적·지성적 문화의 타락을 부추긴 세계 최강, 세계 최대 소셜미디어에 대한 미디어 생태학자의 신랄한 고발장',\n",
              "  'author': '시바 바이디야나단 (지은이), 홍권희 (옮긴이)',\n",
              "  'content': '지구촌의 수많은 사람이 페이스북 없이는 하루도 살지 못할 것 같은 상태가 돼 버렸다. 페이스북의 강력한 도달력과 흡인력, 편리한 기능 때문이다. 저자 시바 바이디야나단 교수는 시선을 달리해 페이스북을 조목조목 비판적으로 분석한다.',\n",
              "  'thumbnail': 'https://image.aladin.co.kr/product/27888/44/cover/e122538659_1.jpg',\n",
              "  'publisher': '아라크네',\n",
              "  'kdc': '331.65',\n",
              "  'price': 'none'}]"
            ]
          },
          "metadata": {},
          "execution_count": 23
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "ixRaZ00F80rW"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from ast import literal_eval\n",
        "import pandas as pd\n",
        "import numpy as np\n",
        "import warnings\n",
        "from sklearn.metrics.pairwise import cosine_similarity\n",
        "from sklearn.feature_extraction.text import TfidfVectorizer\n",
        "from sklearn.decomposition import TruncatedSVD\n",
        "from scipy.sparse import csr_matrix\n",
        "import faiss\n",
        "\n",
        "import random\n",
        "from sentence_transformers import SentenceTransformer\n",
        "\n",
        "warnings.filterwarnings(action='ignore')\n",
        "\n",
        "books = pd.read_csv('/content/drive/MyDrive/books_mod_fin', encoding='utf-8')\n",
        "books = books.replace({np.nan: 'none'})\n",
        "\n",
        "\n",
        "books_df_nax=books.dropna(axis='rows')\n",
        "\n",
        "sen = books_df_nax['content']\n",
        "\n",
        "model = SentenceTransformer('sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2')\n",
        "sen_array = sen.to_numpy()\n",
        "sen_embeddings = model.encode(sen_array)\n",
        "\n",
        "sen_embeddings.shape\n",
        "\n"
      ],
      "metadata": {
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          "base_uri": "https://localhost:8080/",
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              "(157118, 384)"
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          "metadata": {},
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        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "sen_embeddings"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "i_zJw_Itb0kU",
        "outputId": "32d2fbd0-403f-45d6-8ea5-a8dd08504148"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[ 0.23663849,  0.05209746, -0.14890896, ...,  0.3244204 ,\n",
              "        -0.15012987,  0.03711872],\n",
              "       [-0.0815421 , -0.0991266 , -0.18298876, ...,  0.20907854,\n",
              "         0.06793031, -0.17980602],\n",
              "       [ 0.04418004,  0.21999009, -0.2525945 , ...,  0.01621207,\n",
              "         0.09010964,  0.11304525],\n",
              "       ...,\n",
              "       [-0.02725288,  0.05522735,  0.18194948, ..., -0.10959061,\n",
              "         0.24335045,  0.11054597],\n",
              "       [-0.02725288,  0.05522735,  0.18194948, ..., -0.10959061,\n",
              "         0.24335045,  0.11054597],\n",
              "       [-0.02725288,  0.05522735,  0.18194948, ..., -0.10959061,\n",
              "         0.24335045,  0.11054597]], dtype=float32)"
            ]
          },
          "metadata": {},
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "np.save('/content/drive/MyDrive/sen_embeddings',sen_embeddings)"
      ],
      "metadata": {
        "id": "8IF6eFmVfQDB"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [],
      "metadata": {
        "id": "66OkkHU0gbzX"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "np.load('/content/drive/MyDrive/sen_embeddings.npy')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "4JnlCoZgfQFH",
        "outputId": "e3288068-828d-4189-ac2a-9f91d10e2840"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[ 0.23663849,  0.05209746, -0.14890896, ...,  0.3244204 ,\n",
              "        -0.15012987,  0.03711872],\n",
              "       [-0.0815421 , -0.0991266 , -0.18298876, ...,  0.20907854,\n",
              "         0.06793031, -0.17980602],\n",
              "       [ 0.04418004,  0.21999009, -0.2525945 , ...,  0.01621207,\n",
              "         0.09010964,  0.11304525],\n",
              "       ...,\n",
              "       [-0.02725288,  0.05522735,  0.18194948, ..., -0.10959061,\n",
              "         0.24335045,  0.11054597],\n",
              "       [-0.02725288,  0.05522735,  0.18194948, ..., -0.10959061,\n",
              "         0.24335045,  0.11054597],\n",
              "       [-0.02725288,  0.05522735,  0.18194948, ..., -0.10959061,\n",
              "         0.24335045,  0.11054597]], dtype=float32)"
            ]
          },
          "metadata": {},
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#import base64\n",
        "\n",
        "#v=sen_embeddings.tobytes()\n",
        "\n",
        "#v_tostring=base64.b85encode(v)\n",
        "# v_tostring=base64.b85encode(v).decode()"
      ],
      "metadata": {
        "id": "n6VVu5cXI_Xo"
      },
      "execution_count": 1,
      "outputs": []
    }
  ]
}