125 lines
4.8 KiB
Python
125 lines
4.8 KiB
Python
from pydoc import Helper
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import streamlit as st
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from webui_pages.utils import *
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import streamlit_antd_components as sac
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from st_aggrid import AgGrid
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from st_aggrid.grid_options_builder import GridOptionsBuilder
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import pandas as pd
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from server.knowledge_base.utils import get_file_path
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from streamlit_chatbox import *
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SENTENCE_SIZE = 100
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def knowledge_base_page(api: ApiRequest):
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api = ApiRequest(base_url="http://127.0.0.1:7861", no_remote_api=True)
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chat_box = ChatBox(session_key="kb_messages")
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kb_list = api.list_knowledge_bases()
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kb_docs = {}
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for kb in kb_list:
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kb_docs[kb] = api.list_kb_docs(kb)
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with st.sidebar:
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def on_new_kb():
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if name := st.session_state.get("new_kb_name"):
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if name in kb_list:
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st.error(f"名为 {name} 的知识库已经存在！")
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else:
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ret = api.create_knowledge_base(name)
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st.toast(ret["msg"])
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def on_del_kb():
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if name := st.session_state.get("new_kb_name"):
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if name in kb_list:
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ret = api.delete_knowledge_base(name)
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st.toast(ret["msg"])
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else:
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st.error(f"名为 {name} 的知识库不存在！")
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cols = st.columns([2, 1, 1])
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new_kb_name = cols[0].text_input(
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"新知识库名称",
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placeholder="新知识库名称",
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label_visibility="collapsed",
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key="new_kb_name",
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)
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cols[1].button("新建", on_click=on_new_kb, disabled=not bool(new_kb_name))
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cols[2].button("删除", on_click=on_del_kb, disabled=not bool(new_kb_name))
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st.write("知识库：")
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if kb_list:
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try:
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index = kb_list.index(st.session_state.get("cur_kb"))
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except:
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index = 0
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kb = sac.buttons(
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kb_list,
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index,
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format_func=lambda x: f"{x} ({len(kb_docs[x])})",
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)
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st.session_state["cur_kb"] = kb
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sentence_size = st.slider("文本入库分句长度限制", 1, 1000, SENTENCE_SIZE, disabled=True)
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files = st.file_uploader("上传知识文件",
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["docx", "txt", "md", "csv", "xlsx", "pdf"],
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accept_multiple_files=True,
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key="files",
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)
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if st.button(
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"添加文件到知识库",
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help="请先上传文件，再点击添加",
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use_container_width=True,
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disabled=len(files)==0,
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):
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for f in files:
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ret = api.upload_kb_doc(f, kb)
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if ret["code"] == 200:
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st.toast(ret["msg"], icon="✔")
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else:
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st.toast(ret["msg"], icon="❌")
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st.session_state.files = []
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if st.button(
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"重建知识库",
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help="无需上传文件，通过其它方式将文档拷贝到对应知识库content目录下，点击本按钮即可重建知识库。",
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use_container_width=True,
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disabled=True,
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):
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progress = st.progress(0.0, "")
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for d in api.recreate_vector_store(kb):
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progress.progress(d["finished"] / d["total"], f"正在处理： {d['doc']}")
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if kb_list:
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# 知识库详情
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st.subheader(f"知识库 {kb} 详情")
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df = pd.DataFrame([[i + 1, x] for i, x in enumerate(kb_docs[kb])], columns=["No", "文档名称"])
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gb = GridOptionsBuilder.from_dataframe(df)
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gb.configure_column("No", width=50)
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gb.configure_selection()
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cols = st.columns([1, 2])
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with cols[0]:
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docs = AgGrid(df, gb.build())
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with cols[1]:
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cols = st.columns(3)
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selected_rows = docs.get("selected_rows", [])
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cols = st.columns([2, 3, 2])
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if selected_rows:
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file_name = selected_rows[0]["文档名称"]
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file_path = get_file_path(kb, file_name)
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with open(file_path, "rb") as fp:
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cols[0].download_button("下载选中文档", fp, file_name=file_name)
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else:
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cols[0].download_button("下载选中文档", "", disabled=True)
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if cols[2].button("删除选中文档！", type="primary"):
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for row in selected_rows:
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ret = api.delete_kb_doc(kb, row["文档名称"])
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st.toast(ret["msg"])
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st.experimental_rerun()
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st.write("本文档包含以下知识条目：(待定内容)")
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