176 lines
5.8 KiB
Python
176 lines
5.8 KiB
Python
#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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"""
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測試修正後的翻譯功能 - 重新生成翻譯文件
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"""
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import sys
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import os
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sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
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# 設定編碼
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sys.stdout.reconfigure(encoding='utf-8')
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from pathlib import Path
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from app.services.translation_service import ExcelParser
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import openpyxl
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def test_fixed_translation():
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"""測試修正後的翻譯功能"""
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print("=" * 80)
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print("測試修正後的Excel翻譯功能")
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print("=" * 80)
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# 使用現有的測試文件
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test_dir = Path(r"C:\Users\EGG\WORK\data\user_scrip\TOOL\Document_translator_V2\uploads\185bb457-b703-4e98-94a2-fde072b895c4")
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original_file = test_dir / "original_panjit_185bb457.xlsx"
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if not original_file.exists():
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print(f"原始文件不存在: {original_file}")
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return
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# 創建一個新的翻譯文件名稱
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new_translated_file = test_dir / "original_panjit_185bb457_ja_translated_fixed.xlsx"
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print(f"✅ 使用原始文件: {original_file.name}")
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print(f"✅ 生成新翻譯文件: {new_translated_file.name}")
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# 1. 驗證提取功能
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print(f"\n1. 驗證文字提取功能")
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print("-" * 60)
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parser = ExcelParser(str(original_file))
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segments = parser.extract_text_segments()
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print(f"提取到 {len(segments)} 個文字片段")
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# 檢查A1是否在其中
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a1_content = "製程"
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if a1_content in segments:
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print(f"✅ A1內容 '{a1_content}' 已被提取")
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print(f" 位置: 第{segments.index(a1_content)+1}個")
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else:
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print(f"❌ A1內容 '{a1_content}' 仍未被提取")
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return
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# 2. 驗證翻譯快取
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print(f"\n2. 驗證翻譯快取狀況")
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print("-" * 60)
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from app import create_app
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app = create_app()
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with app.app_context():
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from sqlalchemy import text as sql_text
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from app import db
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target_language = 'ja'
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translation_map = {}
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missing_count = 0
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for segment in segments:
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result = db.session.execute(sql_text("""
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SELECT translated_text
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FROM dt_translation_cache
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WHERE source_text = :text AND target_language = :lang
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ORDER BY created_at DESC
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LIMIT 1
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"""), {'text': segment, 'lang': target_language})
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row = result.fetchone()
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if row:
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translation_map[segment] = row[0]
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if segment == a1_content:
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print(f"✅ '{segment}' -> '{row[0]}'")
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else:
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missing_count += 1
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if segment == a1_content:
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print(f"❌ '{segment}' -> 無翻譯記錄")
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print(f"翻譯快取命中: {len(translation_map)}/{len(segments)} = {len(translation_map)/len(segments)*100:.1f}%")
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print(f"缺失翻譯: {missing_count} 個")
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# 3. 手動生成翻譯文件
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print(f"\n3. 手動生成翻譯文件")
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print("-" * 60)
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try:
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# 在app context內使用ExcelParser的generate_translated_document方法
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translated_file_path = parser.generate_translated_document(
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translations={}, # 空字典，會使用快取查詢
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target_language='ja',
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output_dir=test_dir
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)
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# 重新命名為我們的測試檔名
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import shutil
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if Path(translated_file_path).exists():
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shutil.move(translated_file_path, str(new_translated_file))
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print(f"✅ 翻譯文件已生成: {new_translated_file.name}")
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else:
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print(f"❌ 翻譯文件生成失敗")
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return
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except Exception as e:
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print(f"❌ 生成翻譯文件時出錯: {str(e)}")
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return
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# 4. 驗證翻譯結果
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print(f"\n4. 驗證翻譯結果")
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print("-" * 60)
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wb_orig = openpyxl.load_workbook(str(original_file), data_only=False)
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wb_trans = openpyxl.load_workbook(str(new_translated_file), data_only=False)
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# 檢查A1儲存格
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a1_orig = wb_orig.active['A1'].value
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a1_trans = wb_trans.active['A1'].value
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print(f"A1儲存格檢查:")
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print(f" 原始: {repr(a1_orig)}")
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print(f" 翻譯: {repr(a1_trans)}")
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if isinstance(a1_trans, str) and '\n' in a1_trans:
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lines = a1_trans.split('\n')
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if len(lines) >= 2 and lines[0].strip() == a1_content:
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print(f" ✅ A1翻譯成功！")
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print(f" 原文: '{lines[0]}'")
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print(f" 譯文: '{lines[1]}'")
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success = True
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else:
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print(f" ⚠️ A1格式異常")
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success = False
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else:
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print(f" ❌ A1未翻譯")
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success = False
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# 檢查其他重要儲存格
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test_cells = ['C1', 'D1', 'B2', 'C2']
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translated_count = 0
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for cell_name in test_cells:
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orig_val = wb_orig.active[cell_name].value
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trans_val = wb_trans.active[cell_name].value
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if orig_val and isinstance(trans_val, str) and '\n' in trans_val:
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translated_count += 1
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print(f"\n其他儲存格翻譯狀況: {translated_count}/{len(test_cells)} 個成功翻譯")
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wb_orig.close()
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wb_trans.close()
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# 5. 最終結果
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print(f"\n" + "=" * 80)
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if success:
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print("🎉 測試成功！A1儲存格翻譯問題已修復！")
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print(f" 新翻譯文件: {new_translated_file}")
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print(" - ✅ 文字提取修正生效")
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print(" - ✅ 翻譯快取記錄已補充")
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print(" - ✅ A1儲存格翻譯正常")
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else:
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print("❌ 測試失敗！需要進一步排查問題。")
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print("=" * 80)
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if __name__ == "__main__":
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test_fixed_translation() |