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| import requests | |
| import json | |
| import sys | |
| from pathlib import Path | |
| root_path = Path(__file__).parent.parent.parent | |
| sys.path.append(str(root_path)) | |
| from server.utils import api_address | |
| from configs import VECTOR_SEARCH_TOP_K | |
| from server.knowledge_base.utils import get_kb_path, get_file_path | |
| from webui_pages.utils import ApiRequest | |
| from pprint import pprint | |
| api_base_url = api_address() | |
| api: ApiRequest = ApiRequest(api_base_url) | |
| kb = "kb_for_api_test" | |
| test_files = { | |
| "FAQ.MD": str(root_path / "docs" / "FAQ.MD"), | |
| "README.MD": str(root_path / "README.MD"), | |
| "test.txt": get_file_path("samples", "test.txt"), | |
| } | |
| print("\n\nApiRquest调用\n") | |
| def test_delete_kb_before(): | |
| if not Path(get_kb_path(kb)).exists(): | |
| return | |
| data = api.delete_knowledge_base(kb) | |
| pprint(data) | |
| assert data["code"] == 200 | |
| assert isinstance(data["data"], list) and len(data["data"]) > 0 | |
| assert kb not in data["data"] | |
| def test_create_kb(): | |
| print(f"\n尝试用空名称创建知识库:") | |
| data = api.create_knowledge_base(" ") | |
| pprint(data) | |
| assert data["code"] == 404 | |
| assert data["msg"] == "知识库名称不能为空,请重新填写知识库名称" | |
| print(f"\n创建新知识库: {kb}") | |
| data = api.create_knowledge_base(kb) | |
| pprint(data) | |
| assert data["code"] == 200 | |
| assert data["msg"] == f"已新增知识库 {kb}" | |
| print(f"\n尝试创建同名知识库: {kb}") | |
| data = api.create_knowledge_base(kb) | |
| pprint(data) | |
| assert data["code"] == 404 | |
| assert data["msg"] == f"已存在同名知识库 {kb}" | |
| def test_list_kbs(): | |
| data = api.list_knowledge_bases() | |
| pprint(data) | |
| assert isinstance(data, list) and len(data) > 0 | |
| assert kb in data | |
| def test_upload_docs(): | |
| files = list(test_files.values()) | |
| print(f"\n上传知识文件") | |
| data = {"knowledge_base_name": kb, "override": True} | |
| data = api.upload_kb_docs(files, **data) | |
| pprint(data) | |
| assert data["code"] == 200 | |
| assert len(data["data"]["failed_files"]) == 0 | |
| print(f"\n尝试重新上传知识文件, 不覆盖") | |
| data = {"knowledge_base_name": kb, "override": False} | |
| data = api.upload_kb_docs(files, **data) | |
| pprint(data) | |
| assert data["code"] == 200 | |
| assert len(data["data"]["failed_files"]) == len(test_files) | |
| print(f"\n尝试重新上传知识文件, 覆盖,自定义docs") | |
| docs = {"FAQ.MD": [{"page_content": "custom docs", "metadata": {}}]} | |
| data = {"knowledge_base_name": kb, "override": True, "docs": docs} | |
| data = api.upload_kb_docs(files, **data) | |
| pprint(data) | |
| assert data["code"] == 200 | |
| assert len(data["data"]["failed_files"]) == 0 | |
| def test_list_files(): | |
| print("\n获取知识库中文件列表:") | |
| data = api.list_kb_docs(knowledge_base_name=kb) | |
| pprint(data) | |
| assert isinstance(data, list) | |
| for name in test_files: | |
| assert name in data | |
| def test_search_docs(): | |
| query = "介绍一下langchain-chatchat项目" | |
| print("\n检索知识库:") | |
| print(query) | |
| data = api.search_kb_docs(query, kb) | |
| pprint(data) | |
| assert isinstance(data, list) and len(data) == VECTOR_SEARCH_TOP_K | |
| def test_update_docs(): | |
| print(f"\n更新知识文件") | |
| data = api.update_kb_docs(knowledge_base_name=kb, file_names=list(test_files)) | |
| pprint(data) | |
| assert data["code"] == 200 | |
| assert len(data["data"]["failed_files"]) == 0 | |
| def test_delete_docs(): | |
| print(f"\n删除知识文件") | |
| data = api.delete_kb_docs(knowledge_base_name=kb, file_names=list(test_files)) | |
| pprint(data) | |
| assert data["code"] == 200 | |
| assert len(data["data"]["failed_files"]) == 0 | |
| query = "介绍一下langchain-chatchat项目" | |
| print("\n尝试检索删除后的检索知识库:") | |
| print(query) | |
| data = api.search_kb_docs(query, kb) | |
| pprint(data) | |
| assert isinstance(data, list) and len(data) == 0 | |
| def test_recreate_vs(): | |
| print("\n重建知识库:") | |
| r = api.recreate_vector_store(kb) | |
| for data in r: | |
| assert isinstance(data, dict) | |
| assert data["code"] == 200 | |
| print(data["msg"]) | |
| query = "本项目支持哪些文件格式?" | |
| print("\n尝试检索重建后的检索知识库:") | |
| print(query) | |
| data = api.search_kb_docs(query, kb) | |
| pprint(data) | |
| assert isinstance(data, list) and len(data) == VECTOR_SEARCH_TOP_K | |
| def test_delete_kb_after(): | |
| print("\n删除知识库") | |
| data = api.delete_knowledge_base(kb) | |
| pprint(data) | |
| # check kb not exists anymore | |
| print("\n获取知识库列表:") | |
| data = api.list_knowledge_bases() | |
| pprint(data) | |
| assert isinstance(data, list) and len(data) > 0 | |
| assert kb not in data | |