164 lines
6.1 KiB
Python
164 lines
6.1 KiB
Python
#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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"""
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檢查原始快取資料庫中ROW291的翻譯記錄
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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 app import create_app
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def check_original_cache_row291():
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"""檢查原始快取資料庫中ROW291的翻譯記錄"""
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print("=" * 80)
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print("檢查原始快取資料庫中的翻譯記錄")
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print("重點：ROW291 vs ROW349 的差異")
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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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# 1. 檢查ROW291附近的記錄
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print(f"1. 檢查ROW291附近的韓文翻譯記錄")
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print("-" * 60)
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result = db.session.execute(sql_text("""
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SELECT id, source_text, translated_text, target_language, created_at
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FROM dt_translation_cache
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WHERE id >= 285 AND id <= 295 AND target_language = 'ko'
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ORDER BY id
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"""))
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row291_records = result.fetchall()
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if not row291_records:
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print("❌ ROW285-295範圍內沒有韓文記錄")
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else:
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for record in row291_records:
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print(f"\nROW {record[0]}:")
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print(f" 原文: {repr(record[1][:50])}...")
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print(f" 韓文: {repr(record[2][:50])}...")
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print(f" 時間: {record[4]}")
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# 2. 檢查ROW349附近的記錄 (我手動補充的)
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print(f"\n2. 檢查ROW349附近的韓文翻譯記錄 (手動補充)")
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print("-" * 60)
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result = db.session.execute(sql_text("""
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SELECT id, source_text, translated_text, target_language, created_at
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FROM dt_translation_cache
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WHERE id >= 345 AND id <= 355 AND target_language = 'ko'
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ORDER BY id
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"""))
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row349_records = result.fetchall()
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if not row349_records:
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print("❌ ROW345-355範圍內沒有韓文記錄")
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else:
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for record in row349_records:
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print(f"\nROW {record[0]}:")
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print(f" 原文: {repr(record[1][:50])}...")
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print(f" 韓文: {repr(record[2][:50])}...")
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print(f" 時間: {record[4]}")
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# 3. 直接查找D2內容的所有翻譯記錄
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print(f"\n3. 查找D2內容的所有翻譯記錄")
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print("-" * 60)
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d2_content = "與 WB inline 串線（DB→WB）、時效快；支援 Sn/Au 晶片\n最小可支援9mil晶粒\n支援EAP管控"
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result = db.session.execute(sql_text("""
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SELECT id, source_text, translated_text, target_language, created_at
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FROM dt_translation_cache
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WHERE source_text = :text
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ORDER BY id
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"""), {'text': d2_content})
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d2_records = result.fetchall()
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if not d2_records:
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print(f"❌ 沒有找到D2內容的翻譯記錄")
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print(f" 查找內容: {repr(d2_content[:50])}...")
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else:
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print(f"✅ 找到 {len(d2_records)} 筆D2翻譯記錄:")
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for record in d2_records:
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print(f"\nROW {record[0]} ({record[3]}):")
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print(f" 原文: {repr(record[1][:50])}...")
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print(f" 翻譯: {repr(record[2][:50])}...")
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print(f" 時間: {record[4]}")
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# 4. 檢查最新的韓文快取總數
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print(f"\n4. 檢查韓文快取總數")
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print("-" * 60)
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result = db.session.execute(sql_text("""
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SELECT COUNT(*) as total,
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MIN(id) as min_id,
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MAX(id) as max_id,
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MIN(created_at) as earliest,
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MAX(created_at) as latest
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FROM dt_translation_cache
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WHERE target_language = 'ko'
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"""))
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stats = result.fetchone()
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print(f"韓文快取統計:")
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print(f" 總數: {stats[0]}")
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print(f" ID範圍: {stats[1]} - {stats[2]}")
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print(f" 時間範圍: {stats[3]} - {stats[4]}")
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# 5. 比較原始DIFY翻譯 vs 手動補充翻譯
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print(f"\n5. 比較原始DIFY翻譯 vs 手動補充翻譯")
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print("-" * 60)
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if d2_records:
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if len(d2_records) == 1:
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print("✅ 只有一筆D2翻譯記錄，沒有重複")
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else:
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print(f"⚠️ 有 {len(d2_records)} 筆重複的D2翻譯記錄:")
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for i, record in enumerate(d2_records, 1):
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print(f"\n 記錄 {i} (ROW {record[0]}):")
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print(f" 語言: {record[3]}")
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print(f" 翻譯: {record[2][:100]}...")
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print(f" 時間: {record[4]}")
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# 判斷來源
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if record[0] <= 300:
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print(f" 來源: 🤖 原始DIFY翻譯")
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else:
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print(f" 來源: ✋ 手動補充翻譯")
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# 6. 查看為什麼原始翻譯沒有生效
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print(f"\n6. 分析翻譯映射問題")
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print("-" * 60)
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if d2_records:
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original_record = min(d2_records, key=lambda x: x[0]) # 最早的記錄
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print(f"原始翻譯記錄 (ROW {original_record[0]}):")
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print(f" 是否為韓文: {original_record[3] == 'ko'}")
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print(f" 翻譯內容長度: {len(original_record[2])}")
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print(f" 翻譯內容: {repr(original_record[2])}")
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if original_record[3] == 'ko' and original_record[2]:
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print("✅ 原始翻譯記錄看起來正常")
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print("❓ 問題可能在於翻譯映射邏輯沒有正確使用這個快取")
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else:
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print("❌ 原始翻譯記錄有問題")
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print(f"\n" + "=" * 80)
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print("原始快取記錄檢查完成！")
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print("請查看上述分析找出真正的問題原因")
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print("=" * 80)
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if __name__ == "__main__":
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check_original_cache_row291() |