107 lines
4.2 KiB
Python
107 lines
4.2 KiB
Python
#####################################
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####### 上传文件 #######
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#####################################
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import gradio as gr
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import os
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import shutil
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import pandas as pd
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STRUCTURED_FILE_PATH = "File/Structured"
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UNSTRUCTURED_FILE_PATH = "File/Unstructured"
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# 刷新非结构化类目
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def refresh_label():
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return os.listdir(UNSTRUCTURED_FILE_PATH)
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# 刷新结构化数据表
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def refresh_data_table():
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return os.listdir(STRUCTURED_FILE_PATH)
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# 上传非结构化数据
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def upload_unstructured_file(files,label_name):
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if files is None:
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gr.Info("请上传文件")
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elif len(label_name) == 0:
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gr.Info("请输入类目名称")
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# 判断类目是否存在
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elif label_name in os.listdir(UNSTRUCTURED_FILE_PATH):
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gr.Info(f"{label_name}类目已存在")
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else:
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try:
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if not os.path.exists(os.path.join(UNSTRUCTURED_FILE_PATH,label_name)):
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os.mkdir(os.path.join(UNSTRUCTURED_FILE_PATH,label_name))
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for file in files:
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print(file)
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file_path = file.name
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file_name = os.path.basename(file_path)
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destination_file_path = os.path.join(UNSTRUCTURED_FILE_PATH,label_name,file_name)
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shutil.move(file_path,destination_file_path)
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gr.Info(f"文件已上传至{label_name}类目中，请前往创建知识库")
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except:
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gr.Info(f"请勿重复上传")
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# 上传结构化数据
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def upload_structured_file(files,label_name):
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if files is None:
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gr.Info("请上传文件")
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elif len(label_name) == 0:
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gr.Info("请输入数据表名称")
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# 判断数据表是否存在
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elif label_name in os.listdir(STRUCTURED_FILE_PATH):
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gr.Info(f"{label_name}数据表已存在")
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else:
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try:
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if not os.path.exists(os.path.join(STRUCTURED_FILE_PATH,label_name)):
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os.mkdir(os.path.join(STRUCTURED_FILE_PATH,label_name))
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for file in files:
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file_path = file.name
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file_name = os.path.basename(file_path)
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destination_file_path = os.path.join(STRUCTURED_FILE_PATH,label_name,file_name)
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shutil.move(file_path,destination_file_path)
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if os.path.splitext(destination_file_path)[1] == ".xlsx":
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df = pd.read_excel(destination_file_path)
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elif os.path.splitext(destination_file_path)[1] == ".csv":
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df = pd.read_csv(destination_file_path)
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txt_file_name = os.path.splitext(file_name)[0]+'.txt'
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columns = df.columns
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with open(os.path.join(STRUCTURED_FILE_PATH,label_name,txt_file_name),"w") as file:
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for idx,row in df.iterrows():
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file.write("【")
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info = []
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for col in columns:
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info.append(f"{col}:{row[col]}")
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infos = ",".join(info)
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file.write(infos)
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if idx != len(df)-1:
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file.write("】\n")
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else:
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file.write("】")
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os.remove(destination_file_path)
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gr.Info(f"文件已上传至{label_name}数据表中，请前往创建知识库")
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except:
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gr.Info(f"请勿重复上传")
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# 实时更新结构化数据表
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def update_datatable():
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return gr.update(choices=os.listdir(STRUCTURED_FILE_PATH))
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# 实时更新非结构化类目
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def update_label():
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return gr.update(choices=os.listdir(UNSTRUCTURED_FILE_PATH))
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# 删除类目
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def delete_label(label_name):
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if label_name is not None:
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for label in label_name:
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folder_path = os.path.join(UNSTRUCTURED_FILE_PATH,label)
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if os.path.exists(folder_path):
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shutil.rmtree(folder_path)
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gr.Info(f"{label}类目已删除")
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# 删除数据表
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def delete_data_table(table_name):
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if table_name is not None:
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for table in table_name:
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folder_path = os.path.join(STRUCTURED_FILE_PATH,table)
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if os.path.exists(folder_path):
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shutil.rmtree(folder_path)
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gr.Info(f"{table}数据表已删除") |