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c75655a340
* add message field * send * message func doc str * test dict message * retiring soon * generate_init_message docstr * remove todo * update notebook * CompressibleAgent * update notebook * add test * retrieve agent * update test * summary_method args * summary * carryover * dict message * update nested doc * generate_init_message * fix typo * update docs for mathchat * Fix missing message * Add docstrings * model * notebook * default naming --------- Co-authored-by: Chi Wang <wang.chi@microsoft.com> Co-authored-by: kevin666aa <yrwu000627@gmail.com> Co-authored-by: Li Jiang <bnujli@gmail.com> Co-authored-by: Li Jiang <lijiang1@microsoft.com>
109 lines
3.2 KiB
Python
Executable File
109 lines
3.2 KiB
Python
Executable File
#!/usr/bin/env python3 -m pytest
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import pytest
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import os
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import sys
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import autogen
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sys.path.append(os.path.join(os.path.dirname(__file__), "../.."))
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from conftest import skip_openai # noqa: E402
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sys.path.append(os.path.join(os.path.dirname(__file__), ".."))
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from test_assistant_agent import KEY_LOC, OAI_CONFIG_LIST # noqa: E402
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try:
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import openai
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from autogen.agentchat.contrib.retrieve_assistant_agent import (
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RetrieveAssistantAgent,
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)
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from autogen.agentchat.contrib.retrieve_user_proxy_agent import (
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RetrieveUserProxyAgent,
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)
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import chromadb
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from chromadb.utils import embedding_functions as ef
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except ImportError:
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skip = True
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else:
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skip = False or skip_openai
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@pytest.mark.skipif(
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sys.platform in ["darwin", "win32"] or skip,
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reason="do not run on MacOS or windows OR dependency is not installed OR requested to skip",
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)
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def test_retrievechat():
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conversations = {}
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# autogen.ChatCompletion.start_logging(conversations) # deprecated in v0.2
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config_list = autogen.config_list_from_json(
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OAI_CONFIG_LIST,
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file_location=KEY_LOC,
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)
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assistant = RetrieveAssistantAgent(
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name="assistant",
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system_message="You are a helpful assistant.",
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llm_config={
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"timeout": 600,
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"seed": 42,
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"config_list": config_list,
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},
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)
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sentence_transformer_ef = ef.SentenceTransformerEmbeddingFunction()
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ragproxyagent = RetrieveUserProxyAgent(
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name="ragproxyagent",
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human_input_mode="NEVER",
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max_consecutive_auto_reply=2,
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retrieve_config={
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"docs_path": "./website/docs",
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"chunk_token_size": 2000,
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"model": config_list[0]["model"],
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"client": chromadb.PersistentClient(path="/tmp/chromadb"),
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"embedding_function": sentence_transformer_ef,
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"get_or_create": True,
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},
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)
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assistant.reset()
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code_problem = "How can I use FLAML to perform a classification task, set use_spark=True, train 30 seconds and force cancel jobs if time limit is reached."
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ragproxyagent.initiate_chat(
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assistant, message=ragproxyagent.message_generator, problem=code_problem, search_string="spark", silent=True
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)
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print(conversations)
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@pytest.mark.skipif(
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sys.platform in ["darwin", "win32"] or skip,
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reason="do not run on MacOS or windows OR dependency is not installed OR requested to skip",
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)
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def test_retrieve_config(caplog):
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# test warning message when no docs_path is provided
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ragproxyagent = RetrieveUserProxyAgent(
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name="ragproxyagent",
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human_input_mode="NEVER",
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max_consecutive_auto_reply=2,
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retrieve_config={
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"chunk_token_size": 2000,
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"get_or_create": True,
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},
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)
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# Capture the printed content
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captured_logs = caplog.records[0]
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print(captured_logs)
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# Assert on the printed content
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assert (
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f"docs_path is not provided in retrieve_config. Will raise ValueError if the collection `{ragproxyagent._collection_name}` doesn't exist."
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in captured_logs.message
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)
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assert captured_logs.levelname == "WARNING"
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if __name__ == "__main__":
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# test_retrievechat()
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test_retrieve_config()
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