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34873dbd90
These are going to be used to create an unique id for each image.
64 lines
2.2 KiB
Python
64 lines
2.2 KiB
Python
# -*- coding: utf-8 -*-
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# Copyright 2016-2018 Mike Fährmann
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#
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# This program is free software; you can redistribute it and/or modify
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# it under the terms of the GNU General Public License version 2 as
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# published by the Free Software Foundation.
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"""Extract images from https://twitter.com/"""
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from .common import Extractor, Message
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from .. import text
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class TwitterTweetExtractor(Extractor):
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"""Extractor for images from tweets on twitter.com"""
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category = "twitter"
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subcategory = "tweet"
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directory_fmt = ["{category}", "{user}"]
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filename_fmt = "{tweet_id}_{num}.{extension}"
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archive_fmt = "{tweet_id}_{num}"
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pattern = [r"(?:https?://)?(?:www\.|mobile\.)?twitter\.com/"
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r"(([^/]+)/status/(\d+))"]
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test = [
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("https://twitter.com/PicturesEarth/status/672897688871018500", {
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"url": "d9e68d41301d2fe382eb27711dea28366be03b1a",
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"keyword": "7a6eac2bc88bbf16d0671ebb38e31f708d940ee8",
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"content": "a1f2f04cb2d8df24b1afa7a39910afda23484342",
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}),
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("https://twitter.com/perrypumas/status/894001459754180609", {
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"url": "c8a262a9698cb733fb27870f5a8f75faf77d79f6",
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"keyword": "334cd0c1f85c3e66923b44740f17407ce444931e",
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}),
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]
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def __init__(self, match):
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Extractor.__init__(self)
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self.path, self.user, self.tid = match.groups()
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def items(self):
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page = self.request("https://twitter.com/" + self.path).text
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data = self.get_job_metadata()
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imgs = self.get_image_urls(page)
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data["count"] = len(imgs)
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yield Message.Version, 1
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yield Message.Directory, data
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for data["num"], url in enumerate(imgs, 1):
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yield Message.Url, url + ":orig", text.nameext_from_url(url, data)
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def get_job_metadata(self):
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"""Collect metadata for extractor-job"""
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return {
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"user": self.user,
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"tweet_id": self.tid,
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}
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@staticmethod
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def get_image_urls(page):
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"""Extract and return a list of all image-urls"""
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tweet = text.extract(
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page, '<div class="follow-bar">', '<ul class="stats" ')[0]
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return list(text.extract_iter(
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tweet, '<img data-aria-label-part src="', '"'))
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