api_librairie.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Projet librairie"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "import requests"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* https://2.python-requests.org/en/master/\n",
    "* api : https://demo.api-platform.com/"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1. Lister les 10 derniers livres par leur date de publication"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1.1. Etape 1 : Lister tous les books"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "requete avec classement par date (les plus rescents t premier)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "url = 'https://demo.api-platform.com/books/'\n",
    "r_books = requests.get(url)\n",
    "#print(books.text)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "requests.models.Response"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(r_books)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "502"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "r_books.status_code"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "On enregistre la réponse de requête au format json dans un dictionnaire"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "ename": "JSONDecodeError",
     "evalue": "Expecting value: line 1 column 1 (char 0)",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mJSONDecodeError\u001b[0m                           Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-15-f69fee11280d>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mdico_books\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mr_books\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mjson\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;32mC:\\ProgramData\\Anaconda3\\lib\\site-packages\\requests\\models.py\u001b[0m in \u001b[0;36mjson\u001b[1;34m(self, **kwargs)\u001b[0m\n\u001b[0;32m    895\u001b[0m                     \u001b[1;31m# used.\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    896\u001b[0m                     \u001b[1;32mpass\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 897\u001b[1;33m         \u001b[1;32mreturn\u001b[0m \u001b[0mcomplexjson\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mloads\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mtext\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    898\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    899\u001b[0m     \u001b[1;33m@\u001b[0m\u001b[0mproperty\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mC:\\ProgramData\\Anaconda3\\lib\\json\\__init__.py\u001b[0m in \u001b[0;36mloads\u001b[1;34m(s, encoding, cls, object_hook, parse_float, parse_int, parse_constant, object_pairs_hook, **kw)\u001b[0m\n\u001b[0;32m    346\u001b[0m             \u001b[0mparse_int\u001b[0m \u001b[1;32mis\u001b[0m \u001b[1;32mNone\u001b[0m \u001b[1;32mand\u001b[0m \u001b[0mparse_float\u001b[0m \u001b[1;32mis\u001b[0m \u001b[1;32mNone\u001b[0m \u001b[1;32mand\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    347\u001b[0m             parse_constant is None and object_pairs_hook is None and not kw):\n\u001b[1;32m--> 348\u001b[1;33m         \u001b[1;32mreturn\u001b[0m \u001b[0m_default_decoder\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mdecode\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0ms\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    349\u001b[0m     \u001b[1;32mif\u001b[0m \u001b[0mcls\u001b[0m \u001b[1;32mis\u001b[0m \u001b[1;32mNone\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    350\u001b[0m         \u001b[0mcls\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mJSONDecoder\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mC:\\ProgramData\\Anaconda3\\lib\\json\\decoder.py\u001b[0m in \u001b[0;36mdecode\u001b[1;34m(self, s, _w)\u001b[0m\n\u001b[0;32m    335\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    336\u001b[0m         \"\"\"\n\u001b[1;32m--> 337\u001b[1;33m         \u001b[0mobj\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mend\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mraw_decode\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0ms\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0midx\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0m_w\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0ms\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;36m0\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mend\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    338\u001b[0m         \u001b[0mend\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0m_w\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0ms\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mend\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mend\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    339\u001b[0m         \u001b[1;32mif\u001b[0m \u001b[0mend\u001b[0m \u001b[1;33m!=\u001b[0m \u001b[0mlen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0ms\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mC:\\ProgramData\\Anaconda3\\lib\\json\\decoder.py\u001b[0m in \u001b[0;36mraw_decode\u001b[1;34m(self, s, idx)\u001b[0m\n\u001b[0;32m    353\u001b[0m             \u001b[0mobj\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mend\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mscan_once\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0ms\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0midx\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    354\u001b[0m         \u001b[1;32mexcept\u001b[0m \u001b[0mStopIteration\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0merr\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 355\u001b[1;33m             \u001b[1;32mraise\u001b[0m \u001b[0mJSONDecodeError\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"Expecting value\"\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0ms\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0merr\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mvalue\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;32mfrom\u001b[0m \u001b[1;32mNone\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    356\u001b[0m         \u001b[1;32mreturn\u001b[0m \u001b[0mobj\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mend\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mJSONDecodeError\u001b[0m: Expecting value: line 1 column 1 (char 0)"
     ]
    }
   ],
   "source": [
    "dico_books = r_books.json()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(dico_books)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "On créé une liste de dictionnaires contenat uniquement les ebooks via la clé \"hydra:member\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "liste_books = dico_books.get(\"hydra:member\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "30"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(liste_books)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 158,
   "metadata": {},
   "outputs": [],
   "source": [
    "#print('Title: ' + dico_books['title'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1.2. Etape 2 : Afficher le titre des 10 livres"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "extraire les 10 dictionnaires contenus dans la liste"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [],
   "source": [
    "lst_10_books = liste_books[0:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [],
   "source": [
    "#print(liste_books)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "10"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(lst_10_books)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "afficher uniquement la date de publication et le titre"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2020-01-08  :  demotitle\n",
      "2020-01-01  :  sdfs\n",
      "2020-01-01  :  The italian job\n",
      "2020-01-01  :  TestBook123\n",
      "2019-12-20  :  Est magnam ut nemo.\n",
      "2019-12-11  :  sdf\n",
      "2019-12-01  :  booktes\n",
      "2019-03-15  :  HelloWorld\n",
      "2019-03-03  :  aoskdasodk\n",
      "2019-02-01  :  Alias et similique impedit beatae dolores.\n"
     ]
    }
   ],
   "source": [
    "for i in range(len(lst_10_books)):\n",
    "    for k, v in lst_10_books[i].items():\n",
    "        if k == 'title':\n",
    "            t = v\n",
    "        if k == 'publicationDate':\n",
    "            d = v\n",
    "            d = d[0:10]\n",
    "            print(d, ' : ', t)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2. Lister le livre écrit par l’auteur « Dr. Kaitlyn Ratke »"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [],
   "source": [
    "r_auteur = requests.get(\"https://demo.api-platform.com/books/?author=Dr.%20Kaitlyn%20Ratke\")\n",
    "#print(r.text)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [],
   "source": [
    "dico_auteur = r_auteur.json()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [],
   "source": [
    "lst_books_auteur = dico_auteur.get(\"hydra:member\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "list"
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(lst_books_auteur)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [],
   "source": [
    "#print(lst_books_auteur)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1"
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(lst_books_auteur)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Afficher les titres des livres de l'auteur"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1997-07-04  :  Similique aut est dolores.\n"
     ]
    }
   ],
   "source": [
    "for i in range(len(lst_books_auteur)):\n",
    "    for k, v in lst_books_auteur[i].items():\n",
    "        if k == 'title':\n",
    "            t = v\n",
    "        if k == 'publicationDate':\n",
    "            d = v\n",
    "            d = d[0:10]\n",
    "    print(d, ' : ', t)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3. Lister tous les commentaires du livre dont l’id est « 1d52ba85-97c8-4cc3-b81a-40582f3aff64 »"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3.1. Etape 1 : toutes les données du livre"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [],
   "source": [
    "livre = requests.get(\"https://demo.api-platform.com/books/1d52ba85-97c8-4cc3-b81a-40582f3aff64\")\n",
    "#print(livre.text)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [],
   "source": [
    "dico_livre = livre.json()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [],
   "source": [
    "#print(dico_livre)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### liste de toutes les données associées aux commentaires du libre"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [],
   "source": [
    "liste_comments = dico_livre.get('reviews')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [],
   "source": [
    "#print(liste_comments)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4"
      ]
     },
     "execution_count": 84,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(liste_comments)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Liste des contenus des commentaires du livre"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Provident vero ullam voluptatem dolores quasi quis. Eum rerum quasi excepturi optio. Beatae esse et ex fuga quis. Quod est aliquid aut.\n",
      "Est provident voluptas quod dolore. Porro sit omnis quis autem minima suscipit sunt. Autem consequatur autem sunt velit eveniet voluptas. Illum ab nobis molestiae accusamus sapiente quia iste.\n",
      "Distinctio veniam ut corporis dolorem ipsum dolores quam blanditiis. Qui ullam ab sunt quisquam voluptatem id. Sed repudiandae esse cupiditate blanditiis corrupti recusandae. Est id nihil temporibus aliquam.\n",
      "This is a test\n"
     ]
    }
   ],
   "source": [
    "for i in range(len(liste_comments)):\n",
    "    for k, v in liste_comments[i].items():\n",
    "        if k == 'body':\n",
    "            print(v)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "voir améioration plus bas : affichage de l'auteur du commentaire (en plus du commentaire)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3. Solution 2 : recupérer directement les commentaires du livre (pas toutes les données)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "metadata": {},
   "outputs": [],
   "source": [
    "liste_comments2 = requests.get(\"https://demo.api-platform.com/books/1d52ba85-97c8-4cc3-b81a-40582f3aff64/reviews\")\n",
    "#print(liste_comment2.text)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 4. Créer un nouveau commentaire\n",
    "\n",
    "avec \n",
    "* le texte et la note de votre choix \n",
    "* pour le livre dont l’id est « 1b08c9ab-6254-4015-ad14-bac3e5c008df »"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 4.1. POST du commentaire"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 180,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = {\n",
    "  \"body\": \"Le fossé séparant théorie et pratique est moins large en théorie qu’il ne l’est en pratique\",\n",
    "  \"rating\": 1,\n",
    "  \"author\": \"DROMZ\",\n",
    "  \"book\": \"books/1b08c9ab-6254-4015-ad14-bac3e5c008df\"}\n",
    "r_post_cmt = requests.post(\"https://demo.api-platform.com/reviews\", json = data)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "stockage de l'id du post créé dans la variable \"post_id\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 186,
   "metadata": {},
   "outputs": [],
   "source": [
    "#print(r_post_cmt.text)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 182,
   "metadata": {},
   "outputs": [],
   "source": [
    "dico_post_cmt = r_post_cmt.json()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 183,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'@context': '/contexts/Review', '@id': '/reviews/b04ed314-c1b1-42ae-958e-99c1c00e7645', '@type': 'http://schema.org/Review', 'body': 'Le fossé séparant théorie et pratique est moins large en théorie qu’il ne l’est en pratique', 'rating': 1, 'book': {'@id': '/books/1b08c9ab-6254-4015-ad14-bac3e5c008df', '@type': 'http://schema.org/Book', 'title': 'Et sit enim omnis.'}, 'author': 'DROMZ'}\n"
     ]
    }
   ],
   "source": [
    "print(dico_post_cmt)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 184,
   "metadata": {},
   "outputs": [],
   "source": [
    "post_id = dico_post_cmt.get('@id')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 185,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/reviews/b04ed314-c1b1-42ae-958e-99c1c00e7645\n"
     ]
    }
   ],
   "source": [
    "print(post_id)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 4.2. Est-ce que le commentaire est publié ?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "afficher la liste des auteurs et des commentaires a partir de l'id du livre"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 4.2.1. Fonction qui récupère l'auteur d'un commentaire à partir de l'id du commentaire"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 234,
   "metadata": {},
   "outputs": [],
   "source": [
    "def auteur_commt(id): \n",
    "    url = 'https://demo.api-platform.com' + id\n",
    "    r_cmt_id = requests.get(url)\n",
    "    dico_commid = r_cmt_id.json()\n",
    "    for k, v in dico_commid.items():\n",
    "        if k == 'author':\n",
    "            return v"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 4.2.2. Fonction qui affiche les auteurs et les contenus des commentaires d'un livre (id) sur une ligne de 115 caract"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 258,
   "metadata": {},
   "outputs": [],
   "source": [
    "def cmts_auteursetcontenus(id):\n",
    "    url = \"https://demo.api-platform.com\" + id\n",
    "    livre_id = requests.get(url)\n",
    "    dico_livre_id = livre_id.json()    \n",
    "    list_reviews = dico_livre_id.get('reviews')\n",
    "    for i in range(len(list_reviews)):\n",
    "        for k, v in list_reviews[i].items():\n",
    "            if k == 'body':\n",
    "                c = v\n",
    "            if k == '@id':\n",
    "                id = v\n",
    "                auteur = str(auteur_commt(id))\n",
    "        p = auteur + \" : \" + c\n",
    "        p = p[0:98]\n",
    "        print(p)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 259,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Hilma Kautzer : Quas sunt laboriosam accusantium amet. Id et ea voluptate inventore sed aut. Molli\n",
      "Imani Fahey : Et doloribus maxime ratione odit et eum. Autem consequatur eos beatae. Accusantium v\n",
      "Prof. Geovanni Beier II : Quae sunt totam modi sit quae. Nesciunt et reprehenderit similique beata\n",
      "Dr. Shaylee Smith PhD : Est sapiente rerum quis magni ex assumenda occaecati molestiae. Atque exer\n",
      "DROMZ : mon deuxième commentaire : A pisser contre le vent, on mouille sa chemise\n",
      "Jean Bon : J'ai préféré Martine à la plage...\n",
      "Moi-même : Ce livre est presque pourri\n",
      "Ivana : j'ai change idee\n",
      "DROMZ : Si tout est bon dans le cochon, pourquoi dans la cochonne on ne lui bouffe que le cul?\n",
      "leoueb_c_bien : H cherche F pour toucher le thymus\n",
      "DROMZ : mon deuxième commentaire : A pisser contre le vent, on mouille sa chemise\n",
      "Moi-même : Ce livre est génial\n",
      "Moi-même : Ce livre est génial\n",
      "Moi-même : Ce livre est génial\n",
      "Moi-même : Ce livre est génial\n",
      "Jean Neymar : Lire le Sud-Ouest est beaucoup plus palpitant que votre livre\n",
      "DROMZ : Si debugger, c’est supprimer des bugs, alors programmer ne peut être que les ajouter\n",
      "Moi-même : BliBli\n",
      "None : mon commentaire\n",
      "Jean Bonneau : Ce livre est vraiment nul\n"
     ]
    }
   ],
   "source": [
    "id = \"/books/1b08c9ab-6254-4015-ad14-bac3e5c008df\"\n",
    "cmts_auteursetcontenus(id)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 5. Modifier votre nouveau commentaire en utilisant l’id qui vous a été fourni lors de sa création"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 222,
   "metadata": {},
   "outputs": [],
   "source": [
    "#phrase initiale : Le fossé séparant théorie et pratique est moins large en théorie qu’il ne l’est en pratique\n",
    "#Si debugger, c’est supprimer des bugs, alors programmer ne peut être que les ajouter\n",
    "data_patch = {\"body\": \"Si debugger, c’est supprimer des bugs, alors programmer ne peut être que les ajouter\"}\n",
    "url2 = \"https://demo.api-platform.com\" + post_id\n",
    "r_patch_cmt = requests.patch(url2, json = data_patch, headers={'Content-Type': 'application/merge-patch+json'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 223,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "https://demo.api-platform.com/reviews/b04ed314-c1b1-42ae-958e-99c1c00e7645\n"
     ]
    }
   ],
   "source": [
    "print(url2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 224,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<Response [200]>\n"
     ]
    }
   ],
   "source": [
    "print(r_patch_cmt)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 225,
   "metadata": {},
   "outputs": [],
   "source": [
    "dico_modif = r_patch_cmt.json()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 226,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'@context': '/contexts/Review', '@id': '/reviews/b04ed314-c1b1-42ae-958e-99c1c00e7645', '@type': 'http://schema.org/Review', 'body': 'Si debugger, c’est supprimer des bugs, alors programmer ne peut être que les ajouter', 'rating': 1, 'book': {'@id': '/books/1b08c9ab-6254-4015-ad14-bac3e5c008df', '@type': 'http://schema.org/Book', 'title': 'Et sit enim omnis.'}, 'author': 'DROMZ'}\n"
     ]
    }
   ],
   "source": [
    "print(dico_modif)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Test : "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Fonction qui retourne le contenu d'un commentaire a partir de son id "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 236,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Si debugger, c’est supprimer des bugs, alors programmer ne peut être que les ajouter\n"
     ]
    }
   ],
   "source": [
    "def content_commt(id):\n",
    "    url = 'https://demo.api-platform.com' + id\n",
    "    r_cmt_id = requests.get(url)\n",
    "    dico_commid = r_cmt_id.json()\n",
    "    for k, v in dico_commid.items():\n",
    "        if k == 'body':\n",
    "            return v\n",
    "\n",
    "id = post_id\n",
    "print(content_commt(id))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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