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https://github.com/squidfunk/mkdocs-material.git
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75 lines
2.7 KiB
Python
75 lines
2.7 KiB
Python
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# Copyright (c) 2016-2023 Martin Donath <martin.donath@squidfunk.com>
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# Permission is hereby granted, free of charge, to any person obtaining a copy
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# of this software and associated documentation files (the "Software"), to
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# deal in the Software without restriction, including without limitation the
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# rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
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# sell copies of the Software, and to permit persons to whom the Software is
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# furnished to do so, subject to the following conditions:
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# The above copyright notice and this permission notice shall be included in
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# all copies or substantial portions of the Software.
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# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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# FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE
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# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
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# FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS
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# IN THE SOFTWARE.
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import re
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from html.parser import HTMLParser
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from math import ceil
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# -----------------------------------------------------------------------------
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# Functions
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# -----------------------------------------------------------------------------
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# Compute readtime - we first used the original readtime library, but the list
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# of dependencies it brings with it increased the size of the Docker image by
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# 20 MB (packed), which is an increase of 50%. For this reason, we adapt the
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# original readtime algorithm to our needs - see https://t.ly/fPZ7L
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def readtime(html: str, words_per_minute: int):
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parser = ReadtimeParser()
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parser.feed(html)
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parser.close()
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# Extract words from text and compute readtime in seconds
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words = len(re.split(r"\W+", "".join(parser.text)))
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seconds = ceil(words / words_per_minute * 60)
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# Account for additional images
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delta = 12
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for _ in range(parser.images):
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seconds += delta
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if delta > 3: delta -= 1
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# Return readtime in minutes
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return ceil(seconds / 60)
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# -----------------------------------------------------------------------------
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# Classes
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# -----------------------------------------------------------------------------
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# Readtime parser
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class ReadtimeParser(HTMLParser):
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# Initialize parser
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def __init__(self):
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super().__init__(convert_charrefs = True)
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# Keep track of text and images
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self.text = []
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self.images = 0
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# Collect images
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def handle_starttag(self, tag, attrs):
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if tag == "img":
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self.images += 1
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# Collect text
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def handle_data(self, data):
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self.text.append(data)
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