70 lines
2.0 KiB
Python
Executable File
70 lines
2.0 KiB
Python
Executable File
# Translates entries of RSS 2.0 feed into different locale.
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#
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# Make sure to have all dependencies installed:
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# pip3 install googletrans==4.0.0-rc1
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# pip3 install asyncio (if using parallel version of the script)
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#
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# You must provide raw RSS 2.0 UTF-8 feed XML data as input, for example with curl:
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# curl 'https://phys.org/rss-feed/' | python ./translate-rss2.py "en" "pt_BR" "true"
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#
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# You must provide three command line arguments:
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# translate-rss2.py [FROM-LANGUAGE] [TO-LANGUAGE] [RUN-PARALLEL]
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import json
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import re
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import sys
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import time
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import html
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import requests
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import distutils.util
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import xml.etree.ElementTree as ET
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from googletrans import Translator
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lang_from = sys.argv[1]
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lang_to = sys.argv[2]
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parallel = bool(distutils.util.strtobool(sys.argv[3]))
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if parallel:
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import asyncio
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from concurrent.futures import ThreadPoolExecutor
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sys.stdin.reconfigure(encoding='utf-8')
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rss_data = sys.stdin.read()
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rss_document = ET.fromstring(rss_data)
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translator = Translator()
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def translate_string(to_translate):
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try:
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translated_text = translator.translate(to_translate, src = lang_from, dest = lang_to)
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if not parallel:
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time.sleep(0.2)
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return translated_text.text
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except:
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return to_translate
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def process_article(article):
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title = article.find("title")
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title.text = translate_string(title.text)
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contents = article.find("description")
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contents.text = translate_string(" ".join(contents.itertext()))
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# Translate title.
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title = rss_document.find(".//channel").find("title")
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title.text = translate_string(title.text)
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# Translate articles.
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if parallel:
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with ThreadPoolExecutor(max_workers = 8) as executor:
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futures = []
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for article in rss_document.findall(".//item"):
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futures.append(executor.submit(process_article, article))
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for future in futures:
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future.result()
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else:
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for article in rss_document.findall(".//item"):
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process_article(article)
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print(ET.tostring(rss_document, encoding = "unicode")) |