import requests
import io
from PIL import Image, ImageFilter

from django.conf import settings

from gm_upload.utils.filenameutils import store_picture_and_get_key
from utils.rpc import logging_exception


class BlurVideoImage(object):
    PIC_BASE_URL = '?vframe/jpg/offset/{0}/rotate/auto'

    def __init__(self, handler, uploader):
        self.handler = handler
        self.uploader = uploader

    def run(self, url, second=0, video_pic_url=settings.VIDEO_PIC_URL, video_host=settings.VIDEO_HOST, radius=50,
            blurimg_size=(800, 450),
            cropimg_size=(650, 450)):
        if isinstance(url,bytes):
            url = url.decode('utf-8')
        video_pic_url = video_pic_url if not second else self.PIC_BASE_URL.format(second)
        url = self.clean_video_url(url)
        img = self.handler.handler(url, video_pic_url, video_host, radius, blurimg_size, cropimg_size)
        return self.uploader(img)

    def uploader(self, img):
        return store_picture_and_get_key(img)

    @staticmethod
    def clean_video_url(video_url):
        return video_url.replace(settings.VIDEO_HOST, '')


class EditImage(object):

    @classmethod
    def handler(cls, url, video_pic_url, video_host, radius, blurimg_size, cropimg_size):

        image = cls.open_image(url, video_pic_url, video_host)

        width, hight = image.size
        if width < 1.7 * hight:  # 针对竖版视频做处理
            cropimg_size = cls.adaptsize(blurimg_size, cropimg_size)
            _squre = min(image.size)
            _padding = int((width - hight) / 2)
            x, y = (_padding, 0) if _padding > 0 else (0, -_padding)

            croped_im = image.crop((x, y, x + _squre, y + _squre)).resize(cropimg_size, Image.ANTIALIAS)
            blur_image = image.filter(ImageFilter.GaussianBlur(radius=radius)).resize(blurimg_size, Image.ANTIALIAS)

            x, y = int((blur_image.size[0] - croped_im.size[0]) / 2), int((blur_image.size[1] - croped_im.size[1]) / 2)
            blur_image.paste(croped_im, (x, y))
        else:
            blur_image = image

        # convert pillow.image.image to bytesio that can upload to qiniu
        output = io.BytesIO()
        blur_image.save(output, format='JPEG')
        return output.getvalue()

    @staticmethod
    def open_image(url, video_pic_url, video_host):
        url = video_host + url + video_pic_url
        try:
            response = requests.get(url, stream=True, timeout=5)
            if response.status_code == 200:
                response.raw.decode_content = True
                return Image.open(response.raw)
        except RuntimeError:
            logging_exception()
            raise

    @classmethod
    def adaptsize(cls, blurimg_size, cropimg_size):

        if max(cropimg_size) > min(blurimg_size):
            cropimg_size = (min(blurimg_size), min(blurimg_size))
        else:
            cropimg_size = (min(cropimg_size), min(cropimg_size))

        return cropimg_size


UploadVideoPicture = BlurVideoImage(EditImage, store_picture_and_get_key).run