wehub-resource-sync
108 lines
3.1 KiB
Python
108 lines
3.1 KiB
Python
# 刷新所有翻译文本文件 .ts
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# git push 后，在线编辑：
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# https://hosted.weblate.org/projects/umi-ocr/ui/
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import os
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import sys
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import xml.etree.ElementTree as ET
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LangList = [
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"en_US", # 英语（美国） | English
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"zh_TW", # 中文（繁体） | 繁體中文
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"ja_JP", # 日语 | 日本語
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"fr_FR", # 法语 | Français
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"pt", # 葡萄牙语 | Português
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"ru_RU", # 俄语 | Русский
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"uz", # 乌兹别克语
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"vi", # 越南语
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"ta", # 泰米尔语 | தமிழ்
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# "nb_NO",
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# "it_IT",
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# "es_ES",
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# "de_DE",
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# "ko_KR",
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# "pt_BR",
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]
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working = os.path.dirname(os.path.abspath(__file__)) # 工作目录
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os.chdir(working)
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# 1. 扫描qml文件，生成 en_US.ts
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for l in LangList:
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cmd = f'''lupdate.exe \
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"../../UmiOCR-data/qt_res/qml" \
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-recursive \
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-no-obsolete \
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-source-language "zh_CN" \
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-target-language "{l}" \
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-ts "release/{l}.ts"'''
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os.system(cmd)
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sys.exit() # Py翻译的部分 待定
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# 2. 扫描py文件，生成 en_US_2.ts
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def find_files(path, end=".py"):
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path = os.path.abspath(path)
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files_list = []
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for root, dirs, files in os.walk(path):
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# if "__pycache__"
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for file in files:
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if file.endswith(end):
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f = os.path.join(root, file)
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f = os.path.relpath(f, os.path.dirname(__file__))
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files_list.append(f) # 使用相对路径，避免父路径的编码问题
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return files_list
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input_files = find_files("../../UmiOCR-data/py_src")
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input_str = "\\\n".join(input_files)
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output_str = "release/" + "_2.ts\\\nrelease/".join(LangList) + "_2.ts"
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temp_file = "temp.pro" # 临时指令文件，用完删除
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pro_str = f"""
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CODECFORTR = UTF-8
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CODECFORSRC = UTF-8
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SOURCES = {input_str}
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TRANSLATIONS = {output_str}
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"""
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with open(temp_file, "w", encoding="utf-8") as f:
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f.write(pro_str)
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cmd = f"pyside2-lupdate.exe {temp_file}"
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os.system(cmd)
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print(output_str)
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os.remove(temp_file)
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# 3. 合并 en_US.ts 、 en_US_2.ts
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for l in LangList:
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path_1 = f"release/{l}.ts"
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path_2 = f"release/{l}_2.ts"
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with open(path_2, "r", encoding="utf-8") as file:
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lines_2 = file.readlines()
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# py部分 无需翻译
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if len(lines_2) < 10:
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print(f"无需合并：{path_1}")
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continue
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# py部分 需合并
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# 解析xml
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tree_1 = ET.parse(path_1)
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root_1 = tree_1.getroot()
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root_2 = ET.parse(path_2).getroot()
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context_2 = root_2.findall("context")
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# 建立一个字典，存放所有 context
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context_dict = {c.find("name").text: c for c in root_1.findall("context")}
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# 遍历2，追加进字典
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# # 将2的context并入1
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for c2 in root_2.findall("context"):
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name = c2.find("name").text
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if name in context_dict:
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c1 = context_dict[name]
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for message_2 in c2.findall("message"):
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c1.append(message_2)
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else:
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root_1.append(c2) # TODO: 正确性未验证
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# TODO: 保存时检查缩进格式
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tree_1.write(path_1, encoding="utf-8", xml_declaration=True)
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print(f"合并：{path_1}")
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os.remove(path_2)
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