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feat: implement LLM keyword extraction and fusion scoring for table matching
- Add extract_keywords() to LLMService with conversation context support, using process_stream + start_log/end_log for logging consistency - Add expand_with_terminology() to expand keywords with synonym matching - Add fusion scoring in calc_table_embedding(): α * vec_score + (1-α) * keyword_score - Add calc_keyword_score() with multi-level matching: table name exact (1.0), comment exact (0.9), comment substring (0.7), table name partial (0.25-0.5), field comment exact (0.5), field comment substring (0.4), field name partial (0.3) - Scoring considers keyword coverage rate to differentiate tables with different numbers of matched keywords - Extracted keywords persisted to ChatRecord for reuse across endpoints - get_terminology_template() supports comma-separated keyword input with per-keyword matching for higher precision - Add TABLE_EMBEDDING_ALPHA and TABLE_EMBEDDING_KEYWORD_ENABLED config
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@@ -809,6 +809,7 @@
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"GENERATE_DYNAMIC_SQL": "Generate Dynamic SQL",
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"CHOOSE_TABLE": "Match Data Table (Schema)",
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"FILTER_TERMS": "Match Terms",
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"EXTRACT_KEYWORDS": "Extract Keywords",
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"FILTER_SQL_EXAMPLE": "Match SQL Examples",
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"FILTER_CUSTOM_PROMPT": "Match Custom Prompts",
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"EXECUTE_SQL": "Execute SQL",
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@@ -809,6 +809,7 @@
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"GENERATE_DYNAMIC_SQL": "동적 SQL 생성",
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"CHOOSE_TABLE": "데이터 테이블 매칭 (스키마)",
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"FILTER_TERMS": "용어 매칭",
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"EXTRACT_KEYWORDS": "키워드 추출",
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"FILTER_SQL_EXAMPLE": "SQL 예시 매칭",
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"FILTER_CUSTOM_PROMPT": "사용자 정의 프롬프트 매칭",
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"EXECUTE_SQL": "SQL 실행",
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@@ -809,6 +809,7 @@
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"GENERATE_DYNAMIC_SQL": "生成动态 SQL",
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"CHOOSE_TABLE": "匹配数据表 (Schema)",
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"FILTER_TERMS": "匹配术语",
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"EXTRACT_KEYWORDS": "提取关键词",
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"FILTER_SQL_EXAMPLE": "匹配 SQL 示例",
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"FILTER_CUSTOM_PROMPT": "匹配自定义提示词",
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"EXECUTE_SQL": "执行 SQL",
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@@ -809,6 +809,7 @@
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"GENERATE_DYNAMIC_SQL": "產生動態 SQL",
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"CHOOSE_TABLE": "匹配資料表 (Schema)",
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"FILTER_TERMS": "匹配術語",
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"EXTRACT_KEYWORDS": "提取關鍵詞",
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"FILTER_SQL_EXAMPLE": "匹配 SQL 範例",
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"FILTER_CUSTOM_PROMPT": "匹配自訂提示詞",
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"EXECUTE_SQL": "執行 SQL",
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