187 lines
6.0 KiB
Python
187 lines
6.0 KiB
Python
#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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"""
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測試修復後的儲存格為單位翻譯邏輯
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驗證 Excel 和 Word 表格的翻譯是否正確對應
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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 import create_app
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from app.services.translation_service import TranslationService
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def test_excel_cell_based_translation():
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"""測試Excel儲存格為單位的翻譯邏輯"""
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print("=" * 80)
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print("測試Excel儲存格為單位翻譯邏輯")
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print("=" * 80)
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app = create_app()
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with app.app_context():
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service = TranslationService()
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# 測試案例1: 泰文翻譯 (之前D4, H2缺失)
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print(f"\n1. 測試泰文翻譯儲存格方法")
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print("-" * 60)
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# 模擬D4儲存格內容
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d4_text = "WB inline"
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d4_translated = service.translate_excel_cell(
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text=d4_text,
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source_language="zh",
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target_language="th",
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user_id=1
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)
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print(f"D4原文: {repr(d4_text)}")
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print(f"D4泰文: {repr(d4_translated)}")
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# 模擬H2儲存格內容
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h2_text = "製程"
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h2_translated = service.translate_excel_cell(
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text=h2_text,
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source_language="zh",
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target_language="th",
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user_id=1
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)
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print(f"H2原文: {repr(h2_text)}")
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print(f"H2泰文: {repr(h2_translated)}")
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# 測試案例2: 韓文翻譯 (之前D2-D8缺失)
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print(f"\n2. 測試韓文翻譯儲存格方法")
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print("-" * 60)
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# 模擬D2儲存格內容 (多行格式)
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d2_text = "WB inline\nDC: 1000V\n@25°C Tstg: -55°C to +125°C"
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d2_translated = service.translate_excel_cell(
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text=d2_text,
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source_language="zh",
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target_language="ko",
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user_id=1
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)
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print(f"D2原文: {repr(d2_text)}")
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print(f"D2韓文: {repr(d2_translated[:60])}...")
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# 檢查是否使用了原始DIFY翻譯的特徵
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if "와이어 본딩" in d2_translated:
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print(f" 🎯 ✅ 使用了原始DIFY翻譯特徵")
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elif "연결" in d2_translated:
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print(f" ✋ ❌ 仍使用手動補充翻譯")
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else:
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print(f" ❓ 翻譯來源不明")
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def test_word_table_cell_translation():
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"""測試Word表格儲存格為單位的翻譯邏輯"""
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print(f"\n" + "=" * 80)
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print("測試Word表格儲存格為單位翻譯邏輯")
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print("=" * 80)
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app = create_app()
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with app.app_context():
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service = TranslationService()
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print(f"\n1. 測試Word表格儲存格翻譯方法")
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print("-" * 60)
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# 測試案例: Word表格儲存格包含多段落的情況
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cell_text = "超温\n存放\n工务部"
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cell_translated = service.translate_word_table_cell(
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text=cell_text,
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source_language="zh",
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target_language="th",
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user_id=1
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)
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print(f"表格儲存格原文: {repr(cell_text)}")
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print(f"表格儲存格泰文: {repr(cell_translated)}")
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# 另一個案例: 單段落儲存格
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single_cell = "製程控制"
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single_translated = service.translate_word_table_cell(
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text=single_cell,
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source_language="zh",
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target_language="ko",
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user_id=1
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)
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print(f"\n單段落儲存格原文: {repr(single_cell)}")
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print(f"單段落儲存格韓文: {repr(single_translated)}")
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def test_translation_cache_mapping():
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"""測試翻譯快取與儲存格的對應關係"""
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print(f"\n" + "=" * 80)
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print("測試翻譯快取與儲存格的對應關係")
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print("=" * 80)
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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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# 檢查之前提到的快取記錄是否能正確對應
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print(f"\n1. 檢查泰文翻譯快取記錄")
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print("-" * 60)
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# D4對應的ROW 392, 393
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d4_cache = db.session.execute(sql_text("""
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SELECT id, source_text, translated_text, created_at
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FROM dt_translation_cache
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WHERE id IN (392, 393) AND target_language = 'th'
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ORDER BY id
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""")).fetchall()
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for row in d4_cache:
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print(f"ROW {row[0]}: {repr(row[1][:30])}... -> {repr(row[2][:30])}...")
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# H2對應的ROW 381-385
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h2_cache = db.session.execute(sql_text("""
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SELECT id, source_text, translated_text, created_at
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FROM dt_translation_cache
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WHERE id BETWEEN 381 AND 385 AND target_language = 'th'
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ORDER BY id
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""")).fetchall()
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print(f"\nH2相關快取記錄:")
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for row in h2_cache:
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print(f"ROW {row[0]}: {repr(row[1][:20])}... -> {repr(row[2][:20])}...")
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def main():
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"""主測試函數"""
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print("🧪 開始測試儲存格為單位的翻譯邏輯")
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print("預期: 翻譯不再進行切片，整個儲存格作為單位處理")
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try:
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# 測試Excel儲存格翻譯
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test_excel_cell_based_translation()
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# 測試Word表格儲存格翻譯
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test_word_table_cell_translation()
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# 測試快取對應關係
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test_translation_cache_mapping()
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print(f"\n" + "=" * 80)
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print("✅ 儲存格為單位翻譯邏輯測試完成！")
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print("📊 總結:")
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print(" - Excel: 使用 translate_excel_cell() 方法")
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print(" - Word表格: 使用 translate_word_table_cell() 方法")
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print(" - 兩者都不進行內容切片，保持儲存格完整性")
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print("=" * 80)
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except Exception as e:
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print(f"❌ 測試過程中發生錯誤: {str(e)}")
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import traceback
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print(f"錯誤詳情: {traceback.format_exc()}")
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if __name__ == "__main__":
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main() |