Download ragflow-main/sdk/python/test/test_sdk_api/t_session.py from pandaall/ragflow: direct link, hf CLI and curl.
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5.14 kB
| # | |
| # Copyright 2025 The InfiniFlow Authors. All Rights Reserved. | |
| # | |
| # Licensed under the Apache License, Version 2.0 (the "License"); | |
| # you may not use this file except in compliance with the License. | |
| # You may obtain a copy of the License at | |
| # | |
| # http://www.apache.org/licenses/LICENSE-2.0 | |
| # | |
| # Unless required by applicable law or agreed to in writing, software | |
| # distributed under the License is distributed on an "AS IS" BASIS, | |
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
| # See the License for the specific language governing permissions and | |
| # limitations under the License. | |
| # | |
| from ragflow_sdk import RAGFlow, Agent | |
| from common import HOST_ADDRESS | |
| import pytest | |
| def test_create_session_with_success(get_api_key_fixture): | |
| API_KEY = get_api_key_fixture | |
| rag = RAGFlow(API_KEY, HOST_ADDRESS) | |
| kb = rag.create_dataset(name="test_create_session") | |
| display_name = "ragflow.txt" | |
| with open("test_data/ragflow.txt", "rb") as file: | |
| blob = file.read() | |
| document = {"display_name": display_name, "blob": blob} | |
| documents = [] | |
| documents.append(document) | |
| docs = kb.upload_documents(documents) | |
| for doc in docs: | |
| doc.add_chunk("This is a test to add chunk") | |
| assistant = rag.create_chat("test_create_session", dataset_ids=[kb.id]) | |
| assistant.create_session() | |
| def test_create_conversation_with_success(get_api_key_fixture): | |
| API_KEY = get_api_key_fixture | |
| rag = RAGFlow(API_KEY, HOST_ADDRESS) | |
| kb = rag.create_dataset(name="test_create_conversation") | |
| display_name = "ragflow.txt" | |
| with open("test_data/ragflow.txt", "rb") as file: | |
| blob = file.read() | |
| document = {"display_name": display_name, "blob": blob} | |
| documents = [] | |
| documents.append(document) | |
| docs = kb.upload_documents(documents) | |
| for doc in docs: | |
| doc.add_chunk("This is a test to add chunk") | |
| assistant = rag.create_chat("test_create_conversation", dataset_ids=[kb.id]) | |
| session = assistant.create_session() | |
| question = "What is AI" | |
| for ans in session.ask(question): | |
| pass | |
| # assert not ans.content.startswith("**ERROR**"), "Please check this error." | |
| def test_delete_sessions_with_success(get_api_key_fixture): | |
| API_KEY = get_api_key_fixture | |
| rag = RAGFlow(API_KEY, HOST_ADDRESS) | |
| kb = rag.create_dataset(name="test_delete_session") | |
| display_name = "ragflow.txt" | |
| with open("test_data/ragflow.txt", "rb") as file: | |
| blob = file.read() | |
| document = {"display_name": display_name, "blob": blob} | |
| documents = [] | |
| documents.append(document) | |
| docs = kb.upload_documents(documents) | |
| for doc in docs: | |
| doc.add_chunk("This is a test to add chunk") | |
| assistant = rag.create_chat("test_delete_session", dataset_ids=[kb.id]) | |
| session = assistant.create_session() | |
| assistant.delete_sessions(ids=[session.id]) | |
| def test_update_session_with_name(get_api_key_fixture): | |
| API_KEY = get_api_key_fixture | |
| rag = RAGFlow(API_KEY, HOST_ADDRESS) | |
| kb = rag.create_dataset(name="test_update_session") | |
| display_name = "ragflow.txt" | |
| with open("test_data/ragflow.txt", "rb") as file: | |
| blob = file.read() | |
| document = {"display_name": display_name, "blob": blob} | |
| documents = [] | |
| documents.append(document) | |
| docs = kb.upload_documents(documents) | |
| for doc in docs: | |
| doc.add_chunk("This is a test to add chunk") | |
| assistant = rag.create_chat("test_update_session", dataset_ids=[kb.id]) | |
| session = assistant.create_session(name="old session") | |
| session.update({"name": "new session"}) | |
| def test_list_sessions_with_success(get_api_key_fixture): | |
| API_KEY = get_api_key_fixture | |
| rag = RAGFlow(API_KEY, HOST_ADDRESS) | |
| kb = rag.create_dataset(name="test_list_session") | |
| display_name = "ragflow.txt" | |
| with open("test_data/ragflow.txt", "rb") as file: | |
| blob = file.read() | |
| document = {"display_name": display_name, "blob": blob} | |
| documents = [] | |
| documents.append(document) | |
| docs = kb.upload_documents(documents) | |
| for doc in docs: | |
| doc.add_chunk("This is a test to add chunk") | |
| assistant = rag.create_chat("test_list_session", dataset_ids=[kb.id]) | |
| assistant.create_session("test_1") | |
| assistant.create_session("test_2") | |
| assistant.list_sessions() | |
| def test_create_agent_session_with_success(get_api_key_fixture): | |
| API_KEY = "ragflow-BkOGNhYjIyN2JiODExZWY5MzVhMDI0Mm" | |
| rag = RAGFlow(API_KEY, HOST_ADDRESS) | |
| Agent.create_session("2e45b5209c1011efa3e90242ac120006", rag) | |
| def test_create_agent_conversation_with_success(get_api_key_fixture): | |
| API_KEY = "ragflow-BkOGNhYjIyN2JiODExZWY5MzVhMDI0Mm" | |
| rag = RAGFlow(API_KEY, HOST_ADDRESS) | |
| session = Agent.create_session("2e45b5209c1011efa3e90242ac120006", rag) | |
| session.ask("What is this job") | |
| def test_list_agent_sessions_with_success(get_api_key_fixture): | |
| API_KEY = "ragflow-BkOGNhYjIyN2JiODExZWY5MzVhMDI0Mm" | |
| agent_id = "2710f2269b4611ef8fdf0242ac120006" | |
| rag = RAGFlow(API_KEY, HOST_ADDRESS) | |
| Agent.list_sessions(agent_id, rag) | |