使用asyncio来构建异步翻译任务提高翻译效率
目前存在退出的时候报错async runtime error还未解决 自动检测并安装openpyxl和openai库
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@ -1,14 +1,25 @@
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from dataclasses import dataclass
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import shutil
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import openpyxl
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from typing import List, Tuple
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import os
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import sys
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from openai import OpenAI
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import json
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try:
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import openpyxl
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except ImportError:
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print("openpyxl is not installed, installing...")
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os.system("pip install openpyxl")
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import openpyxl
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try:
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from openai import AsyncOpenAI
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except ImportError:
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print("openai is not installed, installing...")
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os.system("pip install openai")
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from openai import AsyncOpenAI
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import asyncio
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# Set up OpenAI API key
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API_KEY = "sk-ckFgxmnjJAJoVfcVF918CbFbEc5a459eA72cA51e4dB24dAf"
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API_KEY = "sk-ckFgxmnjJAJoVfcVF918CbFbEc5a459eA72cA51e4dB24dAf" #来自V3API
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API_URL = "https://api.gpt.ge/v1"
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client = OpenAI(api_key=API_KEY, base_url=API_URL)
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# completion = client.chat.completions.create(
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# model="gpt-4o-mini",
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# messages=[
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@ -37,15 +48,13 @@ class Model:
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# 翻译时请结合所有内容整体去进行理解含义而不仅仅是单个单元格的内容。
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# 注意仅输出翻译后的内容即可,不要保留原文任何内容!!!
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# 请翻译:\n"""
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PROMT = """
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# 将我所提供的如下内容翻译为英文,
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# 注意仅输出翻译后的内容即可,不要保留原文任何内容!!!
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# 请翻译:\n"""
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def chinese2english(text, model=Model.gpt_4o_mini):
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PROMT = "将如下内容翻译为英文,仅输出翻译后的内容,不输出任何原文:"
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async def chinese2english(text, model=Model.gpt_4o_mini):
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# print("start translate")
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#Translate the text using OpenAI
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response = client.chat.completions.create(
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model = Model.gpt_4o_mini,
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client = AsyncOpenAI(api_key=API_KEY, base_url=API_URL)
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response = await client.chat.completions.create(
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model = model,
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messages = [
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{
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"role": "user",
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@ -57,49 +66,94 @@ def chinese2english(text, model=Model.gpt_4o_mini):
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)
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# print("translate done")
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translated_text = response.choices[0].message.content
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client.close()
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return translated_text
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def chinese2english_stream(text, model=Model.gpt_4o_mini):
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with client.chat.completions.with_streaming_response.create(
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model = Model.gpt_4o_mini,
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messages = [
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{
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"role": "user",
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"content": [
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{"type": "text", "text": PROMT + text},
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],
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}
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]
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) as response:
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result = response.json()
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print(result)
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return ''
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# def chinese2english_stream(text, model=Model.gpt_4o_mini):
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# client = OpenAI(api_key=API_KEY, base_url=API_URL)
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# with client.chat.completions.with_streaming_response.create(
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# model = Model.gpt_4o_mini,
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# messages = [
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# {
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# "role": "user",
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# "content": [
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# {"type": "text", "text": PROMT + text},
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# ],
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# }
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# ]
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# ) as response:
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# result = response.json()
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# print(result)
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# return ''
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def idx2excel_pos(row_idx, col_idx):
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if col_idx < 1:
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return ''
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ret = ''
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while col_idx:
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ret += chr(ord('A') + (col_idx - 1) % 26)
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col_idx = (col_idx - 1) // 26
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return f"{ret[::-1]}{row_idx}"
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def update_translate(output_sheet, map_list, translated_text):
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# json_obj = json.loads(translated_text)
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# print(json_obj)
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json_obj = [translated_text]
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for idx, (row_idx, col_idx) in enumerate(map_list):
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output_sheet.cell(row=row_idx, column=col_idx).value = json_obj[idx]
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pos = [f"{idx2excel_pos(row_idx, col_idx)}" for row_idx, col_idx in map_list]
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pos = ','.join(pos)
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print(f"========================= [{pos}] Update Translated Text :\n{translated_text}")
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for row_idx, col_idx in map_list:
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output_sheet.cell(row=row_idx, column=col_idx).value = translated_text
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def get_json_content(content):
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content = content.strip().split('\n')
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#去除掉api返回的code代码提示信息
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if content[0].strip().startswith('```') and content[-1].strip().endswith('```'):
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content = content[1:-1]
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return '\n'.join(content)
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# def get_json_content(content):
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# content = content.strip().split('\n')
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# #去除掉api返回的code代码提示信息
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# if content[0].strip().startswith('```') and content[-1].strip().endswith('```'):
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# content = content[1:-1]
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# return '\n'.join(content)
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def is_all_ascii(s):
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return all(ord(char) < 128 for char in s)
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def main():
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if len(sys.argv) >= 3:
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print("Usage: python excel_translate.py input_file_path output_file_path")
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input_file_path = sys.argv[1]
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output_file_path = sys.argv[2]
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translate_excel_process()
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def translate_excel_process(input_file_path="test.xlsx", output_file_path="output.xlsx"):
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@dataclass
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class TaskInfo:
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original_text: str
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translated_text: str
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pos:List[Tuple[int, int]]
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class TaskManager:
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def __init__(self, output_sheet):
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self.task_list = []
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self.output_sheet = output_sheet
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async def add_task(self, pos_list, original_text):
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task = TaskInfo(original_text, '', pos_list)
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self.task_list.append(task)
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if len(self.task_list) >= 20:
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await self.do_task()
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async def do_task(self):
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tasks = []
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for task in self.task_list:
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tasks.append(asyncio.create_task(chinese2english(task.original_text)))
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results = await asyncio.gather(*tasks)
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for idx, task in enumerate(self.task_list):
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task.translated_text = results[idx]
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update_translate(self.output_sheet, task.pos, task.translated_text)
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self.task_list = []
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async def finish(self):
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if len(self.task_list) > 0:
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await self.do_task()
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async def main() -> None:
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if len(sys.argv) < 2:
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print("Usage: python excel_translate.py input_file_path")
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sys.exit(0)
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input_file = sys.argv[1]
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output = os.path.splitext(input_file)[0] + '_translated' + os.path.splitext(input_file)[1]
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await translate_excel_process(input_file, output)
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print(f"{input_file} Translation complete => {output}.")
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async def translate_excel_process(input_file_path="input.xlsx", output_file_path="output.xlsx"):
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# Check if the input file exists
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if not os.path.exists(input_file_path):
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print("Input file not found.")
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# Open the input file
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input_workbook = openpyxl.load_workbook(input_file_path)
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input_sheet = input_workbook.active
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# Create a new output workbook
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output_workbook = openpyxl.load_workbook(output_file_path)
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output_sheet = output_workbook.active
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# Loop through each row in the input sheet
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sheets = input_workbook.sheetnames
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map_list = [] #合并的单元格的翻译位置记录
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original_text = ""
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col_idx= 1
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map_list = []
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last_cell_value = ""
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last_cell_value_trans = ""
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# debug_test_count = 0
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for col_idx, col in enumerate(input_sheet.iter_cols(min_col=1, values_only=True), start=1):
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# Get the original text and language code
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for row_idx, content in enumerate(col, start=1):
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if not content:
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continue
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elif isinstance(content, int):#如果是纯数字也不用翻译
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continue
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#如果全是英文,则不翻译
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elif is_all_ascii(content):
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continue
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try:
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int(content)
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except ValueError:
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pass
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else:
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continue
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#和最近一次的cell内容相同则不翻译直接使用结果即可
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if content != last_cell_value:
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original_text += f'{content}\n'
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map_list.append((row_idx, col_idx))
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#if len(original_text) > 100:
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# print(f"Original text: {original_text}")
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translated_text = chinese2english(original_text)
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# translated_text = get_json_content(translated_text)
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# print(f"Translated text: {translated_text}")
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update_translate(output_sheet, map_list, translated_text)
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map_list = []
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original_text = ""
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# Add the original text and translated text to the output sheet
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# output_sheet.append([original_text, translated_text])
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try:
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for sheet_name in sheets:
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print(f"Processing sheet: {sheet_name}")
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input_sheet = input_workbook[sheet_name]
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# Create a new output sheet
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output_sheet = output_workbook[sheet_name]
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task_manager = TaskManager(output_sheet)
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# Loop through each row in the input sheet
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for col_idx, col in enumerate(input_sheet.iter_cols(min_col=1, values_only=True), start=1):
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# Get the original text and language code
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for row_idx, content in enumerate(col, start=1):
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if not content or str(content).strip() == '': #没内容不用翻译
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# print(f"Skip empty cell: {idx2excel_pos(row_idx, col_idx)}")
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continue
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elif isinstance(content, int):#如果是纯数字也不用翻译
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continue
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#如果全是英文,则不翻译
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elif is_all_ascii(content):
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continue
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#和最近一次的cell内容相同则不翻译直接使用结果即可
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if content != last_cell_value:
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if last_cell_value == '': #第一个单元格先记录一下,等待后面有不一样的才翻译
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last_cell_value = content
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original_text = content
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map_list.append((row_idx, col_idx))
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continue
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last_cell_value = content
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# print(f"Original text: {original_text}")
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await task_manager.add_task(map_list, original_text)
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original_text = content
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map_list = []
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map_list.append((row_idx, col_idx))
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await task_manager.finish()
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except Exception as e:
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print(f"Error: {e}")
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pass
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except KeyboardInterrupt:
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print("KeyboardInterrupt")
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output_workbook.save(output_file_path)
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sys.exit()
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# Save the output workbook
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output_workbook.save(output_file_path)
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print("Translation complete.")
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if __name__ == '__main__':
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main()
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pass
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if __name__ == "__main__":
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asyncio.run(main())
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exit(0)
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BIN
input.xlsx
BIN
input.xlsx
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