Jupyter-ITVitae/assignment.ipynb

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    "from collections.abc import Generator\n",
    "from io import BytesIO\n",
    "\n",
    "import requests\n",
    "from PIL import Image\n",
    "\n",
    "\n",
    "class Cat:\n",
    "    \"\"\"Cat object storing the request data and image file from the cat API.\"\"\"\n",
    "\n",
    "    def __init__(self, id, url, width, height):\n",
    "        self.id = id\n",
    "        self.url = url\n",
    "        self.width = width\n",
    "        self.height = height\n",
    "        self._image = get_cat_image(url)\n",
    "\n",
    "    def get_image(self) -> Image:\n",
    "        \"\"\"Return the image of the cat object, cropped correctly if the width and height are changed.\n",
    "\n",
    "        Returns:\n",
    "            Image: Image object that has been edited by the crop function.\n",
    "        \"\"\"\n",
    "        if (self.width, self.height) != self.image.size:\n",
    "            return self.image.resize((self.width, self.height))\n",
    "        return self.image\n",
    "\n",
    "    def save_image(self, path) -> bool:\n",
    "        \"\"\"Save image in cat to disk\n",
    "\n",
    "        Args:\n",
    "            path (String): the path to save the cat picture to.\n",
    "\n",
    "        Returns:\n",
    "            bool: return if the function executed correctly, passthrough of the save function of Image.\n",
    "        \"\"\"\n",
    "        return self.get_image().save(f\"{path}/{self.id}.png\")\n",
    "\n",
    "\n",
    "def get_cat_data(count=1) -> list[dict]:\n",
    "    \"\"\"Fetch a cat from the cat API, return a parsed JSON object.\n",
    "\n",
    "    Args:\n",
    "        count (int): the amount of cats to return.\n",
    "\n",
    "    Returns:\n",
    "        list[dict]: Returns the parsed data, the cat API returns a list with length 1 with a dict in it.\n",
    "    \"\"\"\n",
    "    response = requests.get(f\"https://api.thecatapi.com/v1/images/search?limit={count}\")\n",
    "    if response.status_code != 200:\n",
    "        return None\n",
    "    return response.json()\n",
    "\n",
    "\n",
    "def get_cats(cat_json) -> Generator[Cat]:\n",
    "    \"\"\"Create a cat image from a JSON object formatted like the cat API\n",
    "\n",
    "    Args:\n",
    "        cat_json (list[dict]): Expects a list with a length > 1 with dicts in it that contains at least the fields:\n",
    "        (String) id\n",
    "        (String) url\n",
    "        (String) width\n",
    "        (String) height\n",
    "\n",
    "    Returns:\n",
    "        Generator[Cat]: A Generator object creating cat objects from the JSON object.\n",
    "    \"\"\"\n",
    "\n",
    "    for cat in cat_json:\n",
    "        yield Cat(\n",
    "            cat.get(\"id\"),\n",
    "            cat.get(\"url\"),\n",
    "            cat.get(\"width\"),\n",
    "            cat.get(\"height\"),\n",
    "        )\n",
    "\n",
    "\n",
    "def get_cat_image(url) -> Image:\n",
    "    \"\"\"Fetch an image url of the cat provided, returns an image file.\n",
    "\n",
    "    Returns:\n",
    "        Image: An image file parsed with the PIL library, read from a bytestream from the cats API.\n",
    "    \"\"\"\n",
    "    cr = requests.get(url)\n",
    "    if cr.status_code != 200:\n",
    "        print(f\"Error fetching cat image, error code {cr.status_code}\")\n",
    "        return None\n",
    "    return Image.open(BytesIO(cr.content))\n",
    "\n",
    "\n",
    "cats = get_cats(get_cat_data(count=5))\n",
    "for cat in cats:\n",
    "    cat.height = 720\n",
    "    cat.width = 1080\n",
    "    cat.save_image(\"./cats\")"
   ]
  }
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