mirror of
https://github.com/RoboSats/robosats.git
synced 2024-12-14 03:16:24 +00:00
d9e2e9c947
* Init RobotPage * Add onboarding component and generate token step * Add robot generation step * Add onboarding step 3 * Add Welcome componenent * Minor fixes * Add recovery component * Add robot profile component * Small fixes * Add TOR loading component * Small fixes * Fix tor loading and add highres animations on android * Lint * Fix robot profile order buttons * Add collect phrases alpha * Run collect_phrases * Add collect-phrases script to pre-commit config
55 lines
1.8 KiB
Python
55 lines
1.8 KiB
Python
"""
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This script looks for any t('phrase') in every frontend source files .src/
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extracts the strings into a new dictionary (en.json), and updates every other
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locale dictionary by matching existing translations.
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"""
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import json
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import os
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import re
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from handcrafted import phrases
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prefix = r"[^a-zA-Z]t\s*\(\s*\'"
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suffix = r"(?:\'\,\s*\)|\'\,*\)|\'\)|\'\,\s*\{)"
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match = r"(.*?[a-zA-Z].*?)"
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pattern = f"{prefix}{match}{suffix}"
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extensions = [".ts", ".tsx", ".js", "jsx"]
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strings_dict = {}
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counter = 1
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# Look for all matching i18n keys
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for root, dirs, files in os.walk("../../src"):
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for file in files:
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if file.endswith(tuple(extensions)):
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filepath = os.path.join(root, file)
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with open(filepath, "r", encoding="utf-8") as f:
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contents = f.read()
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matches = re.findall(pattern, contents)
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if len(matches) > 0:
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strings_dict[f"#{counter}"] = f"Phrases in {filepath[10:]}"
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counter += 1
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for match in matches:
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strings_dict[match] = match
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# Load existing locale dics and replace keys
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locales = [f for f in os.listdir(".") if f.endswith(".json")]
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all_phrases = {**strings_dict, **phrases}
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for locale in locales:
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new_phrases = {}
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with open(locale, "r", encoding="utf-8") as f:
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old_phrases = json.load(f)
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for key in all_phrases:
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# update dictionary with new keys on /src/
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if key in old_phrases:
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new_phrases[key] = old_phrases[key]
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else:
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new_phrases[key] = all_phrases[key]
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with open(locale, "w", encoding="utf-8") as f:
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json.dump(new_phrases, f, ensure_ascii=False)
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with open("./collected_phrases.json", "w", encoding="utf-8") as f:
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json.dump(all_phrases, f, ensure_ascii=False)
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