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import asyncio
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import os
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from utils.Database import *
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from utils.DocxUtil import get_docx_content_by_pandoc
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from utils.LightRagUtil import initialize_rag
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# 更详细地控制日志输出
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logger = logging.getLogger('lightrag')
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logger.setLevel(logging.INFO)
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handler = logging.StreamHandler()
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handler.setFormatter(logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s'))
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logger.addHandler(handler)
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# 后台任务，监控是否有新的未训练的文档进行训练
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async def train_document_task():
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print(datetime.datetime.now(), "线程5秒后开始运行【监控是否有需要处理的文档】")
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await asyncio.sleep(5) # 使用 asyncio.sleep 而不是 time.sleep
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# 这里放置你的线程逻辑
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while True:
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# 这里可以放置你的线程要执行的代码
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logging.info("开始查询是否有待处理文档：")
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no_train_document_sql: str = " SELECT * FROM t_ai_teaching_model_document WHERE train_flag in (0,3) ORDER BY create_time DESC"
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no_train_document_result = await find_by_sql(no_train_document_sql, ())
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logger.info(no_train_document_result)
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if not no_train_document_result:
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print(datetime.datetime.now(), "没有需要处理的文档")
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else:
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print(datetime.datetime.now(), "存在未训练的文档" + str(len(no_train_document_result))+"个")
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# 这里可以根据train_flag的值来判断是训练还是删除
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document = no_train_document_result[0]
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theme = await find_by_id("t_ai_teaching_model_theme", "id", document["theme_id"])
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document_name = document["document_name"] + "." + document["document_suffix"]
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working_dir = "Topic/" + theme["short_name"]
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document_path = document["document_path"]
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if document["train_flag"] == 0:
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# 训练文档
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update_sql: str = " UPDATE t_ai_teaching_model_document SET train_flag = 1 WHERE id = " + str(document["id"])
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await execute_sql(update_sql, ())
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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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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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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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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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await execute_sql(update_sql, ())
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logging.info(f"开始删除文档：{document_name}, 还有{len(no_train_document_result) - 1}个文档需要处理！")
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# 删除文档开始
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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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await rag.adelete_by_doc_id(doc_id = document_name)
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logger.info(f"Deleted content from {document_name}")
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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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# 删除结束，更新训练状态
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update_document_sql: str = " UPDATE t_ai_teaching_model_document SET train_flag = 5 WHERE id = " + str(document["id"])
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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 = " SELECT * FROM t_ai_teaching_model_document WHERE theme_id = " + str(theme["id"]) + " and train_flag = 2"
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select_document_result = await find_by_sql(select_document_sql, ())
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if select_document_result is None:
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update_theme_sql: str = " UPDATE t_ai_teaching_model_theme SET search_flag = 0 WHERE id = " + str(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 = " UPDATE t_ai_teaching_model_theme SET search_flag = 1 WHERE id = " + str(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(10) # 开发阶段每10秒一次
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# await asyncio.sleep(600) # 每十分钟查询一次
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