297 lines
13 KiB
Python
297 lines
13 KiB
Python
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# -*- coding: utf-8 -*-
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# Part of Odoo. See LICENSE file for full copyright and licensing details.
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import base64
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import codecs
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import io
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from PIL import Image
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from PIL import ImageEnhance
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from random import randrange
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# Preload PIL with the minimal subset of image formats we need
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from odoo.tools import pycompat
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Image.preinit()
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Image._initialized = 2
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# ----------------------------------------
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# Image resizing
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# ----------------------------------------
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def image_resize_image(base64_source, size=(1024, 1024), encoding='base64', filetype=None, avoid_if_small=False):
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""" Function to resize an image. The image will be resized to the given
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size, while keeping the aspect ratios, and holes in the image will be
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filled with transparent background. The image will not be stretched if
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smaller than the expected size.
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Steps of the resizing:
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- Compute width and height if not specified.
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- if avoid_if_small: if both image sizes are smaller than the requested
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sizes, the original image is returned. This is used to avoid adding
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transparent content around images that we do not want to alter but
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just resize if too big. This is used for example when storing images
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in the 'image' field: we keep the original image, resized to a maximal
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size, without adding transparent content around it if smaller.
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- create a thumbnail of the source image through using the thumbnail
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function. Aspect ratios are preserved when using it. Note that if the
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source image is smaller than the expected size, it will not be
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extended, but filled to match the size.
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- create a transparent background that will hold the final image.
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- paste the thumbnail on the transparent background and center it.
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:param base64_source: base64-encoded version of the source
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image; if False, returns False
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:param size: 2-tuple(width, height). A None value for any of width or
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height mean an automatically computed value based respectivelly
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on height or width of the source image.
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:param encoding: the output encoding
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:param filetype: the output filetype, by default the source image's
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:type filetype: str, any PIL image format (supported for creation)
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:param avoid_if_small: do not resize if image height and width
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are smaller than the expected size.
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"""
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if not base64_source:
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return False
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if size == (None, None):
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return base64_source
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image_stream = io.BytesIO(codecs.decode(base64_source, encoding))
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image = Image.open(image_stream)
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# store filetype here, as Image.new below will lose image.format
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filetype = (filetype or image.format).upper()
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filetype = {
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'BMP': 'PNG',
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}.get(filetype, filetype)
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asked_width, asked_height = size
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if asked_width is None:
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asked_width = int(image.size[0] * (float(asked_height) / image.size[1]))
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if asked_height is None:
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asked_height = int(image.size[1] * (float(asked_width) / image.size[0]))
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size = asked_width, asked_height
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# check image size: do not create a thumbnail if avoiding smaller images
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if avoid_if_small and image.size[0] <= size[0] and image.size[1] <= size[1]:
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return base64_source
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if image.size != size:
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image = image_resize_and_sharpen(image, size)
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if image.mode not in ["1", "L", "P", "RGB", "RGBA"] or (filetype == 'JPEG' and image.mode == 'RGBA'):
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image = image.convert("RGB")
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background_stream = io.BytesIO()
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image.save(background_stream, filetype)
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return codecs.encode(background_stream.getvalue(), encoding)
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def image_resize_and_sharpen(image, size, preserve_aspect_ratio=False, factor=2.0):
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"""
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Create a thumbnail by resizing while keeping ratio.
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A sharpen filter is applied for a better looking result.
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:param image: PIL.Image.Image()
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:param size: 2-tuple(width, height)
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:param preserve_aspect_ratio: boolean (default: False)
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:param factor: Sharpen factor (default: 2.0)
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"""
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origin_mode = image.mode
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if image.mode != 'RGBA':
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image = image.convert('RGBA')
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image.thumbnail(size, Image.ANTIALIAS)
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if preserve_aspect_ratio:
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size = image.size
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sharpener = ImageEnhance.Sharpness(image)
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resized_image = sharpener.enhance(factor)
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# create a transparent image for background and paste the image on it
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image = Image.new('RGBA', size, (255, 255, 255, 0))
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image.paste(resized_image, ((size[0] - resized_image.size[0]) // 2, (size[1] - resized_image.size[1]) // 2))
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if image.mode != origin_mode:
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image = image.convert(origin_mode)
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return image
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def image_save_for_web(image, fp=None, format=None):
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"""
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Save image optimized for web usage.
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:param image: PIL.Image.Image()
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:param fp: File name or file object. If not specified, a bytestring is returned.
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:param format: File format if could not be deduced from image.
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"""
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opt = dict(format=image.format or format)
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if image.format == 'PNG':
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opt.update(optimize=True)
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alpha = False
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if image.mode in ('RGBA', 'LA') or (image.mode == 'P' and 'transparency' in image.info):
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alpha = image.convert('RGBA').split()[-1]
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if image.mode != 'P':
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# Floyd Steinberg dithering by default
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image = image.convert('RGBA').convert('P', palette=Image.WEB, colors=256)
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if alpha:
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image.putalpha(alpha)
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elif image.format == 'JPEG':
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opt.update(optimize=True, quality=80)
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if fp:
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image.save(fp, **opt)
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else:
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img = io.BytesIO()
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image.save(img, **opt)
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return img.getvalue()
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def image_resize_image_big(base64_source, size=(1024, 1024), encoding='base64', filetype=None, avoid_if_small=True):
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""" Wrapper on image_resize_image, to resize images larger than the standard
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'big' image size: 1024x1024px.
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:param size, encoding, filetype, avoid_if_small: refer to image_resize_image
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"""
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return image_resize_image(base64_source, size, encoding, filetype, avoid_if_small)
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def image_resize_image_medium(base64_source, size=(128, 128), encoding='base64', filetype=None, avoid_if_small=False):
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""" Wrapper on image_resize_image, to resize to the standard 'medium'
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image size: 180x180.
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:param size, encoding, filetype, avoid_if_small: refer to image_resize_image
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"""
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return image_resize_image(base64_source, size, encoding, filetype, avoid_if_small)
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def image_resize_image_small(base64_source, size=(64, 64), encoding='base64', filetype=None, avoid_if_small=False):
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""" Wrapper on image_resize_image, to resize to the standard 'small' image
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size: 50x50.
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:param size, encoding, filetype, avoid_if_small: refer to image_resize_image
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"""
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return image_resize_image(base64_source, size, encoding, filetype, avoid_if_small)
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# ----------------------------------------
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# Crop Image
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# ----------------------------------------
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def crop_image(data, type='top', ratio=False, size=None, image_format="PNG"):
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""" Used for cropping image and create thumbnail
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:param data: base64 data of image.
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:param type: Used for cropping position possible
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Possible Values : 'top', 'center', 'bottom'
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:param ratio: Cropping ratio
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e.g for (4,3), (16,9), (16,10) etc
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send ratio(1,1) to generate square image
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:param size: Resize image to size
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e.g (200, 200)
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after crop resize to 200x200 thumbnail
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:param image_format: return image format PNG,JPEG etc
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"""
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if not data:
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return False
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image_stream = Image.open(io.BytesIO(base64.b64decode(data)))
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output_stream = io.BytesIO()
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w, h = image_stream.size
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new_h = h
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new_w = w
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if ratio:
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w_ratio, h_ratio = ratio
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new_h = (w * h_ratio) // w_ratio
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new_w = w
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if new_h > h:
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new_h = h
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new_w = (h * w_ratio) // h_ratio
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if type == "top":
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cropped_image = image_stream.crop((0, 0, new_w, new_h))
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cropped_image.save(output_stream, format=image_format)
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elif type == "center":
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cropped_image = image_stream.crop(((w - new_w) // 2, (h - new_h) // 2, (w + new_w) // 2, (h + new_h) // 2))
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cropped_image.save(output_stream, format=image_format)
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elif type == "bottom":
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cropped_image = image_stream.crop((0, h - new_h, new_w, h))
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cropped_image.save(output_stream, format=image_format)
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else:
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raise ValueError('ERROR: invalid value for crop_type')
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if size:
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thumbnail = Image.open(io.BytesIO(output_stream.getvalue()))
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thumbnail.thumbnail(size, Image.ANTIALIAS)
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thumbnail.save(output_stream, image_format)
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return base64.b64encode(output_stream.getvalue())
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# ----------------------------------------
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# Colors
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# ---------------------------------------
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def image_colorize(original, randomize=True, color=(255, 255, 255)):
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""" Add a color to the transparent background of an image.
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:param original: file object on the original image file
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:param randomize: randomize the background color
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:param color: background-color, if not randomize
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"""
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# create a new image, based on the original one
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original = Image.open(io.BytesIO(original))
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image = Image.new('RGB', original.size)
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# generate the background color, past it as background
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if randomize:
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color = (randrange(32, 224, 24), randrange(32, 224, 24), randrange(32, 224, 24))
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image.paste(color, box=(0, 0) + original.size)
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image.paste(original, mask=original)
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# return the new image
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buffer = io.BytesIO()
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image.save(buffer, 'PNG')
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return buffer.getvalue()
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# ----------------------------------------
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# Misc image tools
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# ---------------------------------------
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def image_get_resized_images(base64_source, return_big=False, return_medium=True, return_small=True,
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big_name='image', medium_name='image_medium', small_name='image_small',
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avoid_resize_big=True, avoid_resize_medium=False, avoid_resize_small=False):
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""" Standard tool function that returns a dictionary containing the
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big, medium and small versions of the source image. This function
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is meant to be used for the methods of functional fields for
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models using images.
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Default parameters are given to be used for the getter of functional
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image fields, for example with res.users or res.partner. It returns
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only image_medium and image_small values, to update those fields.
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:param base64_source: base64-encoded version of the source
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image; if False, all returnes values will be False
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:param return_{..}: if set, computes and return the related resizing
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of the image
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:param {..}_name: key of the resized image in the return dictionary;
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'image', 'image_medium' and 'image_small' by default.
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:param avoid_resize_[..]: see avoid_if_small parameter
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:return return_dict: dictionary with resized images, depending on
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previous parameters.
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"""
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return_dict = dict()
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if isinstance(base64_source, pycompat.text_type):
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base64_source = base64_source.encode('ascii')
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if return_big:
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return_dict[big_name] = image_resize_image_big(base64_source, avoid_if_small=avoid_resize_big)
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if return_medium:
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return_dict[medium_name] = image_resize_image_medium(base64_source, avoid_if_small=avoid_resize_medium)
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if return_small:
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return_dict[small_name] = image_resize_image_small(base64_source, avoid_if_small=avoid_resize_small)
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return return_dict
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def image_resize_images(vals, big_name='image', medium_name='image_medium', small_name='image_small'):
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""" Update ``vals`` with image fields resized as expected. """
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if vals.get(big_name):
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vals.update(image_get_resized_images(vals[big_name],
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return_big=True, return_medium=True, return_small=True,
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big_name=big_name, medium_name=medium_name, small_name=small_name,
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avoid_resize_big=True, avoid_resize_medium=False, avoid_resize_small=False))
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elif vals.get(medium_name):
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vals.update(image_get_resized_images(vals[medium_name],
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return_big=True, return_medium=True, return_small=True,
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big_name=big_name, medium_name=medium_name, small_name=small_name,
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avoid_resize_big=True, avoid_resize_medium=True, avoid_resize_small=False))
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elif vals.get(small_name):
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vals.update(image_get_resized_images(vals[small_name],
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return_big=True, return_medium=True, return_small=True,
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big_name=big_name, medium_name=medium_name, small_name=small_name,
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avoid_resize_big=True, avoid_resize_medium=True, avoid_resize_small=True))
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elif big_name in vals or medium_name in vals or small_name in vals:
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vals[big_name] = vals[medium_name] = vals[small_name] = False
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if __name__=="__main__":
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import sys
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assert len(sys.argv)==3, 'Usage to Test: image.py SRC.png DEST.png'
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img = base64.b64encode(open(sys.argv[1],'rb').read())
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new = image_resize_image(img, (128,100))
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open(sys.argv[2], 'wb').write(base64.b64decode(new))
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