5th_fix excel problem

test_excel_fix.py

@@ -0,0 +1,120 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+測試Excel翻譯修正效果
+"""
+
+import sys
+import os
+sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
+
+# 設定編碼
+sys.stdout.reconfigure(encoding='utf-8')
+
+from pathlib import Path
+from app.services.translation_service import ExcelParser
+
+def test_excel_translation_fix():
+    """測試Excel翻譯修正效果"""
+    
+    print("=" * 80)
+    print("測試Excel翻譯修正效果")
+    print("=" * 80)
+    
+    # 文件路徑
+    excel_dir = Path(r"C:\Users\EGG\WORK\data\user_scrip\TOOL\Document_translator_V2\uploads\f0b78200-2c5e-41a4-bac8-1536f92529e9")
+    original_file = excel_dir / "original_panjit_f0b78200.xlsx"
+    
+    if not original_file.exists():
+        print(f"原始文件不存在: {original_file}")
+        return
+    
+    # 創建解析器實例
+    parser = ExcelParser(str(original_file))
+    
+    print("\n1. 測試修正後的should_translate函數")
+    print("-" * 60)
+    
+    # 測試關鍵詞彙
+    test_texts = [
+        "製程",      # A1儲存格，之前未翻譯
+        "主要特點",   # C1儲存格
+        "優勢亮點",   # D1儲存格
+        "AB",        # 2個英文字母
+        "123",       # 純數字
+        "工藝",       # 2個中文字符
+        "Epoxy 膠黏（導電/導熱銀膠）"  # B3儲存格
+    ]
+    
+    for text in test_texts:
+        should_translate = parser._should_translate(text, 'auto')
+        has_cjk = parser._has_cjk(text)
+        print(f"'{text}': should_translate={should_translate}, has_cjk={has_cjk}, len={len(text)}")
+    
+    print("\n2. 測試提取的文字片段")
+    print("-" * 60)
+    
+    segments = parser.extract_text_segments()
+    print(f"修正後提取到 {len(segments)} 個文字片段")
+    
+    # 檢查A1是否被包含
+    a1_content = "製程"
+    if a1_content in segments:
+        print(f"✅ A1內容 '{a1_content}' 已被包含在提取列表中")
+    else:
+        print(f"❌ A1內容 '{a1_content}' 仍未被包含在提取列表中")
+    
+    # 顯示前10個片段
+    print("\n前10個提取片段:")
+    for i, segment in enumerate(segments[:10]):
+        safe_segment = repr(segment)
+        print(f"  {i+1:2d}. {safe_segment}")
+    
+    print("\n3. 測試翻譯快取映射邏輯（模擬）")
+    print("-" * 60)
+    
+    # 模擬翻譯映射過程
+    from app import create_app
+    app = create_app()
+    
+    with app.app_context():
+        from sqlalchemy import text as sql_text
+        from app import db
+        
+        target_language = 'ja'  # 日文
+        tmap = {}
+        found_count = 0
+        
+        print(f"查詢翻譯快取中的 {target_language} 翻譯...")
+        
+        for original_text in segments[:10]:  # 只檢查前10個
+            result = db.session.execute(sql_text("""
+                SELECT translated_text 
+                FROM dt_translation_cache 
+                WHERE source_text = :text AND target_language = :lang
+                ORDER BY created_at DESC 
+                LIMIT 1
+            """), {'text': original_text, 'lang': target_language})
+            
+            row = result.fetchone()
+            if row and row[0]:
+                tmap[original_text] = row[0]
+                print(f"✅ '{original_text[:20]}...' -> '{row[0][:20]}...'")
+                found_count += 1
+            else:
+                print(f"❌ 未找到翻譯: '{original_text[:30]}...'")
+        
+        print(f"\n翻譯映射結果: {found_count}/{min(10, len(segments))} 個片段找到翻譯")
+        
+        # 特別檢查A1
+        if a1_content in tmap:
+            print(f"✅ A1內容 '{a1_content}' 的翻譯: '{tmap[a1_content]}'")
+        else:
+            print(f"❌ A1內容 '{a1_content}' 沒有找到翻譯")
+    
+    print("\n" + "=" * 80)
+    print("測試完成！")
+    print("=" * 80)
+
+if __name__ == "__main__":
+    test_excel_translation_fix()