Merge branch 'main' of http://10.10.14.176:3000/huanghai/dsProject
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@@ -47,19 +47,24 @@ async def train_document_task():
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logging.info(f"开始处理文档:{document_name}, 还有{len(no_train_document_result) - 1}个文档需要处理!")
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# 训练代码开始
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# content = get_docx_content_by_pandoc(document_path)
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train_result = True
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try:
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# 注意:默认设置使用NetworkX
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rag = await initialize_rag(working_dir)
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# 获取docx文件的内容
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content = get_docx_content_by_pandoc(document_path)
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await rag.ainsert(content, ids=[document_name], file_paths=[document_name])
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logger.info(f"Inserted content from {document_name}")
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if content is not None:
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await rag.ainsert(content, ids=[document_name], file_paths=[document_name])
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logger.info(f"Inserted content from {document_name}")
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else:
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train_result = False
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except Exception as e:
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logger.error(f"An error occurred: {e}")
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finally:
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await rag.finalize_storages()
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# 训练结束,更新训练状态
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update_document_sql: str = " UPDATE t_ai_teaching_model_document SET train_flag = 2 WHERE id = " + str(document["id"])
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train_flag = "2" if train_result else "7"
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update_document_sql: str = " UPDATE t_ai_teaching_model_document SET train_flag = " + train_flag + " WHERE id = " + str(document["id"])
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await execute_sql(update_document_sql, ())
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elif document["train_flag"] == 3:
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update_sql: str = " UPDATE t_ai_teaching_model_document SET train_flag = 4 WHERE id = " + str(document["id"])
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@@ -80,22 +85,30 @@ async def train_document_task():
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await execute_sql(update_document_sql, ())
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# 整体更新主题状态
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select_document_sql: str = f"select train_flag, count(1) as train_count from t_ai_teaching_model_document where theme_id = {theme['id']} and is_deleted = 0 and train_flag in (0,1,2) group by train_flag"
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select_document_sql: str = f"select train_flag, count(1) as train_count from t_ai_teaching_model_document where theme_id = {theme['id']} and is_deleted = 0 and train_flag in (0,1,2,7) group by train_flag"
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select_document_result = await find_by_sql(select_document_sql, ())
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train_document_count_map = {}
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for item in select_document_result:
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train_document_count_map[str(item["train_flag"])] = int(item["train_count"])
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train_document_count_0 = train_document_count_map.get("0", 0)
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train_document_count_1 = train_document_count_map.get("1", 0)
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train_document_count_2 = train_document_count_map.get("2", 0)
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train_document_count_7 = train_document_count_map.get("7", 0)
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search_flag = 0
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if train_document_count_2 > 0:
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update_theme_sql: str = f"UPDATE t_ai_teaching_model_theme SET search_flag = 1, train_flag = 2 WHERE id = {theme['id']}"
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search_flag = 1
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# 训练未开始:初始化| 或者没有is_deleted=0的文档
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if train_document_count_0 == 0 and train_document_count_1 == 0 and train_document_count_2 == 0 and train_document_count_7 == 0:
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update_theme_sql: str = f"UPDATE t_ai_teaching_model_theme SET search_flag = {search_flag}, train_flag = 0 WHERE id = {theme['id']}"
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await execute_sql(update_theme_sql, ())
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else:
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if train_document_count_1 > 0:
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update_theme_sql: str = f"UPDATE t_ai_teaching_model_theme SET search_flag = 0, train_flag = 1 WHERE id = {theme['id']}"
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await execute_sql(update_theme_sql, ())
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else:
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update_theme_sql: str = f"UPDATE t_ai_teaching_model_theme SET search_flag = 0, train_flag = 0 WHERE id = {theme['id']}"
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await execute_sql(update_theme_sql, ())
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# 训练进行中:单个文档训练中|同时存在训练完成+未训练的文档
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if train_document_count_2 > 0 and (train_document_count_1 > 0 or train_document_count_7 > 0):
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update_theme_sql: str = f"UPDATE t_ai_teaching_model_theme SET search_flag = {search_flag}, train_flag = 1 WHERE id = {theme['id']}"
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await execute_sql(update_theme_sql, ())
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# 训练已完成:所有is_deleted=0的文档都训练完成
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if train_document_count_2 > 0 and train_document_count_0 == 0 and train_document_count_1 == 0 and train_document_count_7 == 0:
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update_theme_sql: str = f"UPDATE t_ai_teaching_model_theme SET search_flag = {search_flag}, train_flag = 2 WHERE id = {theme['id']}"
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await execute_sql(update_theme_sql, ())
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# 添加适当的等待时间,避免频繁查询
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await asyncio.sleep(120) # 每二分钟查询一次
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