217 lines
7.7 KiB
Python
217 lines
7.7 KiB
Python
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, list_kbs_from_folder, list_docs_from_folder
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from server.knowledge_base.kb_service.base import KBServiceFactory
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from server.db.repository.knowledge_base_repository import get_kb_detail
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from server.db.repository.knowledge_file_repository import get_file_detail
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# from streamlit_chatbox import *
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from typing import Literal, Dict
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SENTENCE_SIZE = 100
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def get_kb_details(api: ApiRequest) -> pd.DataFrame:
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kbs_in_folder = list_kbs_from_folder()
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kbs_in_db = api.list_knowledge_bases()
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result = {}
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for kb in kbs_in_folder:
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result[kb] = {
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"kb_name": kb,
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"vs_type": "",
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"embed_model": "",
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"file_count": 0,
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"create_time": None,
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"in_folder": True,
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"in_db": False,
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}
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for kb in kbs_in_db:
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kb_detail = get_kb_detail(kb)
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if kb_detail:
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kb_detail["in_db"] = True
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if kb in result:
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result[kb].update(kb_detail)
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else:
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kb_detail["in_folder"] = False
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result[kb] = kb_detail
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df = pd.DataFrame(result.values())
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df.insert(0, "No", range(1, len(df) + 1))
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return df
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def get_kb_doc_details(api: ApiRequest, kb: str) -> pd.DataFrame:
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docs_in_folder = list_docs_from_folder(kb)
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docs_in_db = api.list_kb_docs(kb)
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result = {}
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for doc in docs_in_folder:
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result[doc] = {
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"kb_name": kb,
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"file_name": doc,
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"file_ext": os.path.splitext(doc)[-1],
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"file_version": 0,
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"document_loader": "",
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"text_splitter": "",
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"create_time": None,
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"in_folder": True,
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"in_db": False,
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}
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for doc in docs_in_db:
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doc_detail = get_file_detail(kb, doc)
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if doc_detail:
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doc_detail["in_db"] = True
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if doc in result:
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result[doc].update(doc_detail)
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else:
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doc_detail["in_folder"] = False
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result[doc] = doc_detail
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df = pd.DataFrame(result.values())
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df.insert(0, "No", range(1, len(df) + 1))
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return df
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def config_aggrid(
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df: pd.DataFrame,
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titles: Dict[str, str] = {},
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selection_mode: Literal["single", "multiple", "disabled"] = "single",
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use_checkbox: bool = False,
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) -> GridOptionsBuilder:
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gb = GridOptionsBuilder.from_dataframe(df)
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gb.configure_column("No", width=50)
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for k, v in titles.items():
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gb.configure_column(k, v, maxWidth=100)
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gb.configure_selection(selection_mode, use_checkbox, pre_selected_rows=[0])
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return gb
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# kb_box = ChatBox(session_key="kb_messages")
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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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kb_details = get_kb_details(api)
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kb_list = list(kb_details.keys())
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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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gb = config_aggrid(
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kb_details,
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{
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"kb_name": "知识库名称",
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"vs_type": "知识库类型",
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"embed_model": "嵌入模型",
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"file_count": "文档数量",
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"create_time": "创建时间",
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"in_folder": "存在于文件夹",
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"in_db": "存在于数据库",
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}
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)
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kb_grid = AgGrid(kb_details, gb.build())
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if kb_grid.selected_rows:
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kb = kb_grid.selected_rows[0]["kb_name"]
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with st.sidebar:
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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["t]otal"], f"正在处理： {d['doc']}")
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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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doc_details = get_kb_doc_details(api, kb)
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del doc_details["kb_name"]
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gb = config_aggrid(
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doc_details,
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{
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"file_name": "文档名称",
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"file_ext": "文档类型",
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"file_version": "文档版本",
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"document_loader": "文档加载器",
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"text_splitter": "分词器",
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"create_time": "创建时间",
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"in_folder": "存在于文件夹",
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"in_db": "存在于数据库",
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},
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"multiple",
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)
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doc_grid = AgGrid(doc_details, gb.build())
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cols = st.columns(3)
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selected_rows = doc_grid.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]["file_name"]
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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["file_name"])
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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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