根据新的接口修改ApiRequest和webui，以及测试用例。修改后预期webui中批量知识文件相关操作减少时间
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liunux4odoo
parent
661a0e9d72
commit
4cfee9c17c
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@ -8,13 +8,11 @@ sys.path.append(str(root_path))
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from server.utils import api_address
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from configs.model_config import VECTOR_SEARCH_TOP_K
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from server.knowledge_base.utils import get_kb_path, get_file_path
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from webui_pages.utils import ApiRequest
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from pprint import pprint
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api_base_url = api_address()
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api = ApiRequest(api_base_url)
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kb = "kb_for_api_test"
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@ -24,6 +22,8 @@ test_files = {
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"test.txt": get_file_path("samples", "test.txt"),
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}
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print("\n\n直接url访问\n")
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def test_delete_kb_before(api="/knowledge_base/delete_knowledge_base"):
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if not Path(get_kb_path(kb)).exists():
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@ -0,0 +1,161 @@
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import requests
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import json
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import sys
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from pathlib import Path
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root_path = Path(__file__).parent.parent.parent
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sys.path.append(str(root_path))
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from server.utils import api_address
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from configs.model_config import VECTOR_SEARCH_TOP_K
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from server.knowledge_base.utils import get_kb_path, get_file_path
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from webui_pages.utils import ApiRequest
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from pprint import pprint
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api_base_url = api_address()
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api: ApiRequest = ApiRequest(api_base_url)
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kb = "kb_for_api_test"
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test_files = {
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"FAQ.MD": str(root_path / "docs" / "FAQ.MD"),
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"README.MD": str(root_path / "README.MD"),
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"test.txt": get_file_path("samples", "test.txt"),
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}
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print("\n\nApiRquest调用\n")
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def test_delete_kb_before():
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if not Path(get_kb_path(kb)).exists():
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return
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data = api.delete_knowledge_base(kb)
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pprint(data)
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assert data["code"] == 200
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assert isinstance(data["data"], list) and len(data["data"]) > 0
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assert kb not in data["data"]
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def test_create_kb():
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print(f"\n尝试用空名称创建知识库：")
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data = api.create_knowledge_base(" ")
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pprint(data)
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assert data["code"] == 404
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assert data["msg"] == "知识库名称不能为空，请重新填写知识库名称"
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print(f"\n创建新知识库： {kb}")
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data = api.create_knowledge_base(kb)
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pprint(data)
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assert data["code"] == 200
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assert data["msg"] == f"已新增知识库 {kb}"
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print(f"\n尝试创建同名知识库： {kb}")
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data = api.create_knowledge_base(kb)
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pprint(data)
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assert data["code"] == 404
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assert data["msg"] == f"已存在同名知识库 {kb}"
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def test_list_kbs():
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data = api.list_knowledge_bases()
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pprint(data)
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assert isinstance(data, list) and len(data) > 0
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assert kb in data
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def test_upload_docs():
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files = list(test_files.values())
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print(f"\n上传知识文件")
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data = {"knowledge_base_name": kb, "override": True}
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data = api.upload_kb_docs(files, **data)
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pprint(data)
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assert data["code"] == 200
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assert len(data["data"]["failed_files"]) == 0
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print(f"\n尝试重新上传知识文件， 不覆盖")
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data = {"knowledge_base_name": kb, "override": False}
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data = api.upload_kb_docs(files, **data)
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pprint(data)
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assert data["code"] == 200
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assert len(data["data"]["failed_files"]) == len(test_files)
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print(f"\n尝试重新上传知识文件， 覆盖，自定义docs")
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docs = {"FAQ.MD": [{"page_content": "custom docs", "metadata": {}}]}
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data = {"knowledge_base_name": kb, "override": True, "docs": json.dumps(docs)}
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data = api.upload_kb_docs(files, **data)
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pprint(data)
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assert data["code"] == 200
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assert len(data["data"]["failed_files"]) == 0
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def test_list_files():
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print("\n获取知识库中文件列表：")
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data = api.list_kb_docs(knowledge_base_name=kb)
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pprint(data)
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assert isinstance(data, list)
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for name in test_files:
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assert name in data
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def test_search_docs():
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query = "介绍一下langchain-chatchat项目"
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print("\n检索知识库：")
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print(query)
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data = api.search_kb_docs(query, kb)
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pprint(data)
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assert isinstance(data, list) and len(data) == VECTOR_SEARCH_TOP_K
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def test_update_docs():
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print(f"\n更新知识文件")
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data = api.update_kb_docs(knowledge_base_name=kb, file_names=list(test_files))
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pprint(data)
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assert data["code"] == 200
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assert len(data["data"]["failed_files"]) == 0
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def test_delete_docs():
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print(f"\n删除知识文件")
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data = api.delete_kb_docs(knowledge_base_name=kb, file_names=list(test_files))
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pprint(data)
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assert data["code"] == 200
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assert len(data["data"]["failed_files"]) == 0
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query = "介绍一下langchain-chatchat项目"
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print("\n尝试检索删除后的检索知识库：")
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print(query)
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data = api.search_kb_docs(query, kb)
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pprint(data)
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assert isinstance(data, list) and len(data) == 0
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def test_recreate_vs():
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print("\n重建知识库：")
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r = api.recreate_vector_store(kb)
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for data in r:
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assert isinstance(data, dict)
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assert data["code"] == 200
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print(data["msg"])
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query = "本项目支持哪些文件格式?"
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print("\n尝试检索重建后的检索知识库：")
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print(query)
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data = api.search_kb_docs(query, kb)
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pprint(data)
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assert isinstance(data, list) and len(data) == VECTOR_SEARCH_TOP_K
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def test_delete_kb_after():
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print("\n删除知识库")
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data = api.delete_knowledge_base(kb)
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pprint(data)
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# check kb not exists anymore
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print("\n获取知识库列表：")
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data = api.list_knowledge_bases()
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pprint(data)
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assert isinstance(data, list) and len(data) > 0
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assert kb not in data
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@ -127,7 +127,7 @@ def knowledge_base_page(api: ApiRequest):
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# 上传文件
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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(暂不支持扫描PDF)",
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files = st.file_uploader("上传知识文件",
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[i for ls in LOADER_DICT.values() for i in ls],
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accept_multiple_files=True,
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)
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@ -138,10 +138,7 @@ def knowledge_base_page(api: ApiRequest):
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# use_container_width=True,
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disabled=len(files) == 0,
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):
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data = [{"file": f, "knowledge_base_name": kb, "not_refresh_vs_cache": True} for f in files]
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data[-1]["not_refresh_vs_cache"]=False
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for k in data:
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ret = api.upload_kb_doc(**k)
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ret = api.upload_kb_docs(files, knowledge_base_name=kb, override=True)
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if msg := check_success_msg(ret):
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st.toast(msg, icon="✔")
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elif msg := check_error_msg(ret):
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@ -217,8 +214,8 @@ def knowledge_base_page(api: ApiRequest):
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disabled=not file_exists(kb, selected_rows)[0],
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use_container_width=True,
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):
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for row in selected_rows:
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api.update_kb_doc(kb, row["file_name"])
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file_names = [row["file_name"] for row in selected_rows]
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api.update_kb_docs(kb, file_names=file_names)
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st.experimental_rerun()
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# 将文件从向量库中删除，但不删除文件本身。
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@ -227,8 +224,8 @@ def knowledge_base_page(api: ApiRequest):
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disabled=not (selected_rows and selected_rows[0]["in_db"]),
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use_container_width=True,
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):
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for row in selected_rows:
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api.delete_kb_doc(kb, row["file_name"])
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file_names = [row["file_name"] for row in selected_rows]
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api.delete_kb_docs(kb, file_names=file_names)
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st.experimental_rerun()
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if cols[3].button(
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@ -236,9 +233,8 @@ def knowledge_base_page(api: ApiRequest):
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type="primary",
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use_container_width=True,
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):
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for row in selected_rows:
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ret = api.delete_kb_doc(kb, row["file_name"], True)
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st.toast(ret.get("msg", " "))
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file_names = [row["file_name"] for row in selected_rows]
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api.delete_kb_docs(kb, file_names=file_names, delete_content=True)
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st.experimental_rerun()
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st.divider()
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@ -509,13 +509,45 @@ class ApiRequest:
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data = self._check_httpx_json_response(response)
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return data.get("data", [])
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def search_kb_docs(
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self,
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query: str,
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knowledge_base_name: str,
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top_k: int = VECTOR_SEARCH_TOP_K,
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score_threshold: int = SCORE_THRESHOLD,
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no_remote_api: bool = None,
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) -> List:
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'''
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对应api.py/knowledge_base/search_docs接口
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'''
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if no_remote_api is None:
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no_remote_api = self.no_remote_api
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data = {
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"query": query,
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"knowledge_base_name": knowledge_base_name,
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"top_k": top_k,
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"score_threshold": score_threshold,
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}
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if no_remote_api:
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from server.knowledge_base.kb_doc_api import search_docs
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return search_docs(**data)
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else:
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response = self.post(
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"/knowledge_base/search_docs",
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json=data,
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)
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data = self._check_httpx_json_response(response)
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return data
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def upload_kb_docs(
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self,
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files: List[Union[str, Path, bytes]],
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knowledge_base_name: str,
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override: bool = False,
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to_vector_store: bool = True,
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docs: List[Dict] = [],
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docs: Dict = {},
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not_refresh_vs_cache: bool = False,
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no_remote_api: bool = None,
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):
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@ -525,6 +557,7 @@ class ApiRequest:
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if no_remote_api is None:
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no_remote_api = self.no_remote_api
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def convert_file(file, filename=None):
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if isinstance(file, bytes): # raw bytes
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file = BytesIO(file)
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elif hasattr(file, "read"): # a file io like object
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@ -532,90 +565,105 @@ class ApiRequest:
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else: # a local path
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file = Path(file).absolute().open("rb")
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filename = filename or file.name
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return filename, file
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if no_remote_api:
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from server.knowledge_base.kb_doc_api import upload_doc
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from fastapi import UploadFile
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from tempfile import SpooledTemporaryFile
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temp_file = SpooledTemporaryFile(max_size=10 * 1024 * 1024)
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temp_file.write(file.read())
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temp_file.seek(0)
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response = run_async(upload_doc(
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UploadFile(file=temp_file, filename=filename),
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knowledge_base_name,
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override,
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))
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return response.dict()
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else:
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response = self.post(
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"/knowledge_base/upload_doc",
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files = [convert_file(file) for file in files]
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data={
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"knowledge_base_name": knowledge_base_name,
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"override": override,
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"to_vector_store": to_vector_store,
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"docs": docs,
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"not_refresh_vs_cache": not_refresh_vs_cache,
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},
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files={"file": (filename, file)},
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}
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if no_remote_api:
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from server.knowledge_base.kb_doc_api import upload_docs
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from fastapi import UploadFile
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from tempfile import SpooledTemporaryFile
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upload_files = []
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for file, filename in files:
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temp_file = SpooledTemporaryFile(max_size=10 * 1024 * 1024)
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temp_file.write(file.read())
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temp_file.seek(0)
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upload_files.append(UploadFile(file=temp_file, filename=filename))
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response = run_async(upload_docs(upload_files, **data))
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return response.dict()
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else:
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if isinstance(data["docs"], dict):
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data["docs"] = json.dumps(data["docs"], ensure_ascii=False)
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response = self.post(
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"/knowledge_base/upload_docs",
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data=data,
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files=[("files", (filename, file)) for filename, file in files],
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)
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return self._check_httpx_json_response(response)
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def delete_kb_doc(
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def delete_kb_docs(
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self,
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knowledge_base_name: str,
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doc_name: str,
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file_names: List[str],
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delete_content: bool = False,
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not_refresh_vs_cache: bool = False,
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no_remote_api: bool = None,
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):
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'''
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对应api.py/knowledge_base/delete_doc接口
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对应api.py/knowledge_base/delete_docs接口
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'''
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if no_remote_api is None:
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no_remote_api = self.no_remote_api
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data = {
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"knowledge_base_name": knowledge_base_name,
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"doc_name": doc_name,
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"file_names": file_names,
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"delete_content": delete_content,
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"not_refresh_vs_cache": not_refresh_vs_cache,
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}
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if no_remote_api:
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from server.knowledge_base.kb_doc_api import delete_doc
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response = run_async(delete_doc(**data))
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from server.knowledge_base.kb_doc_api import delete_docs
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response = run_async(delete_docs(**data))
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return response.dict()
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else:
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response = self.post(
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"/knowledge_base/delete_doc",
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"/knowledge_base/delete_docs",
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json=data,
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)
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return self._check_httpx_json_response(response)
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def update_kb_doc(
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def update_kb_docs(
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self,
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knowledge_base_name: str,
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file_name: str,
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file_names: List[str],
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override_custom_docs: bool = False,
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docs: Dict = {},
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not_refresh_vs_cache: bool = False,
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no_remote_api: bool = None,
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):
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'''
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对应api.py/knowledge_base/update_doc接口
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对应api.py/knowledge_base/update_docs接口
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'''
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if no_remote_api is None:
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no_remote_api = self.no_remote_api
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data = {
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"knowledge_base_name": knowledge_base_name,
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"file_names": file_names,
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"override_custom_docs": override_custom_docs,
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"docs": docs,
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"not_refresh_vs_cache": not_refresh_vs_cache,
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}
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if no_remote_api:
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from server.knowledge_base.kb_doc_api import update_doc
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response = run_async(update_doc(knowledge_base_name, file_name))
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from server.knowledge_base.kb_doc_api import update_docs
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response = run_async(update_docs(**data))
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return response.dict()
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else:
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if isinstance(data["docs"], dict):
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data["docs"] = json.dumps(data["docs"], ensure_ascii=False)
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response = self.post(
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"/knowledge_base/update_doc",
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json={
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"knowledge_base_name": knowledge_base_name,
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"file_name": file_name,
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"not_refresh_vs_cache": not_refresh_vs_cache,
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},
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"/knowledge_base/update_docs",
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json=data,
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)
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return self._check_httpx_json_response(response)
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