import os import urllib.parse from urllib.parse import quote import pytest from freezegun import freeze_time from khoj.database.models import Agent, Entry, KhojUser, LocalPdfConfig from khoj.processor.conversation import prompts from khoj.processor.conversation.utils import message_to_log from khoj.routers.helpers import aget_relevant_information_sources from tests.helpers import ConversationFactory # Initialize variables for tests api_key = os.getenv("OPENAI_API_KEY") if api_key is None: pytest.skip( reason="Set OPENAI_API_KEY environment variable to run tests below. Get OpenAI API key from https://platform.openai.com/account/api-keys", allow_module_level=True, ) # Helpers # ---------------------------------------------------------------------------------------------------- def generate_history(message_list): # Generate conversation logs conversation_log = {"chat": []} for user_message, gpt_message, context in message_list: message_to_log( user_message, gpt_message, {"context": context, "intent": {"query": user_message, "inferred-queries": f'["{user_message}"]'}}, conversation_log=conversation_log.get("chat", []), ) return conversation_log def create_conversation(message_list, user, agent=None): # Generate conversation logs conversation_log = generate_history(message_list) # Update Conversation Metadata Logs in Database return ConversationFactory(user=user, conversation_log=conversation_log, agent=agent) # Tests # ---------------------------------------------------------------------------------------------------- @pytest.mark.chatquality @pytest.mark.django_db(transaction=True) def test_chat_with_no_chat_history_or_retrieved_content(chat_client): # Act response = chat_client.get(f'/api/chat?q="Hello, my name is Testatron. Who are you?"&stream=true') response_message = response.content.decode("utf-8") # Assert expected_responses = ["Khoj", "khoj"] assert response.status_code == 200 assert any([expected_response in response_message for expected_response in expected_responses]), ( "Expected assistants name, [K|k]hoj, in response but got: " + response_message ) # ---------------------------------------------------------------------------------------------------- @pytest.mark.skipif(os.getenv("SERPER_DEV_API_KEY") is None, reason="requires SERPER_DEV_API_KEY") @pytest.mark.chatquality @pytest.mark.django_db(transaction=True) def test_chat_with_online_content(chat_client): # Act q = "/online give me the link to paul graham's essay how to do great work" encoded_q = quote(q, safe="") response = chat_client.get(f"/api/chat?q={encoded_q}&stream=true") response_message = response.content.decode("utf-8") response_message = response_message.split("### compiled references")[0] # Assert expected_responses = ["http://www.paulgraham.com/greatwork.html"] assert response.status_code == 200 assert any([expected_response in response_message for expected_response in expected_responses]), ( "Expected links or serper not setup in response but got: " + response_message ) # ---------------------------------------------------------------------------------------------------- @pytest.mark.skipif( os.getenv("SERPER_DEV_API_KEY") is None or os.getenv("OLOSTEP_API_KEY") is None, reason="requires SERPER_DEV_API_KEY and OLOSTEP_API_KEY", ) @pytest.mark.chatquality @pytest.mark.django_db(transaction=True) def test_chat_with_online_webpage_content(chat_client): # Act q = "/online how many firefighters were involved in the great chicago fire and which year did it take place?" encoded_q = quote(q, safe="") response = chat_client.get(f"/api/chat?q={encoded_q}&stream=true") response_message = response.content.decode("utf-8") response_message = response_message.split("### compiled references")[0] # Assert expected_responses = ["185", "1871", "horse"] assert response.status_code == 200 assert any([expected_response in response_message for expected_response in expected_responses]), ( "Expected links or serper not setup in response but got: " + response_message ) # ---------------------------------------------------------------------------------------------------- @pytest.mark.django_db(transaction=True) @pytest.mark.chatquality def test_answer_from_chat_history(chat_client, default_user2: KhojUser): # Arrange message_list = [ ("Hello, my name is Testatron. Who are you?", "Hi, I am Khoj, a personal assistant. How can I help?", []), ("When was I born?", "You were born on 1st April 1984.", []), ] create_conversation(message_list, default_user2) # Act response = chat_client.get(f'/api/chat?q="What is my name?"&stream=true') response_message = response.content.decode("utf-8") # Assert expected_responses = ["Testatron", "testatron"] assert response.status_code == 200 assert any([expected_response in response_message for expected_response in expected_responses]), ( "Expected [T|t]estatron in response but got: " + response_message ) # ---------------------------------------------------------------------------------------------------- @pytest.mark.django_db(transaction=True) @pytest.mark.chatquality def test_answer_from_currently_retrieved_content(chat_client, default_user2: KhojUser): # Arrange message_list = [ ("Hello, my name is Testatron. Who are you?", "Hi, I am Khoj, a personal assistant. How can I help?", []), ( "When was I born?", "You were born on 1st April 1984.", ["Testatron was born on 1st April 1984 in Testville."], ), ] create_conversation(message_list, default_user2) # Act response = chat_client.get(f'/api/chat?q="Where was Xi Li born?"') response_message = response.content.decode("utf-8") # Assert assert response.status_code == 200 assert "Fujiang" in response_message # ---------------------------------------------------------------------------------------------------- @pytest.mark.django_db(transaction=True) @pytest.mark.chatquality def test_answer_from_chat_history_and_previously_retrieved_content(chat_client_no_background, default_user2: KhojUser): # Arrange message_list = [ ("Hello, my name is Testatron. Who are you?", "Hi, I am Khoj, a personal assistant. How can I help?", []), ( "When was I born?", "You were born on 1st April 1984.", ["Testatron was born on 1st April 1984 in Testville."], ), ] create_conversation(message_list, default_user2) # Act response = chat_client_no_background.get(f'/api/chat?q="Where was I born?"') response_message = response.content.decode("utf-8") # Assert assert response.status_code == 200 # 1. Infer who I am from chat history # 2. Infer I was born in Testville from previously retrieved notes assert "Testville" in response_message # ---------------------------------------------------------------------------------------------------- @pytest.mark.xfail(AssertionError, reason="Chat director not capable of answering this question yet") @pytest.mark.django_db(transaction=True) @pytest.mark.chatquality def test_answer_from_chat_history_and_currently_retrieved_content(chat_client, default_user2: KhojUser): # Arrange message_list = [ ("Hello, my name is Xi Li. Who are you?", "Hi, I am Khoj, a personal assistant. How can I help?", []), ("When was I born?", "You were born on 1st April 1984.", []), ] create_conversation(message_list, default_user2) # Act response = chat_client.get(f'/api/chat?q="Where was I born?"') response_message = response.content.decode("utf-8") # Assert assert response.status_code == 200 # Inference in a multi-turn conversation # 1. Infer who I am from chat history # 2. Search for notes about when was born # 3. Extract where I was born from currently retrieved notes assert "Fujiang" in response_message # ---------------------------------------------------------------------------------------------------- @pytest.mark.django_db(transaction=True) @pytest.mark.chatquality def test_no_answer_in_chat_history_or_retrieved_content(chat_client, default_user2: KhojUser): "Chat director should say don't know as not enough contexts in chat history or retrieved to answer question" # Arrange message_list = [ ("Hello, my name is Testatron. Who are you?", "Hi, I am Khoj, a personal assistant. How can I help?", []), ("When was I born?", "You were born on 1st April 1984.", []), ] create_conversation(message_list, default_user2) # Act response = chat_client.get(f'/api/chat?q="Where was I born?"&stream=true') response_message = response.content.decode("utf-8") # Assert expected_responses = [ "don't know", "do not know", "no information", "do not have", "don't have", "where were you born?", ] assert response.status_code == 200 assert any([expected_response in response_message.lower() for expected_response in expected_responses]), ( "Expected chat director to say they don't know in response, but got: " + response_message ) # ---------------------------------------------------------------------------------------------------- @pytest.mark.django_db(transaction=True) @pytest.mark.chatquality def test_answer_using_general_command(chat_client, default_user2: KhojUser): # Arrange query = urllib.parse.quote("/general Where was Xi Li born?") message_list = [] create_conversation(message_list, default_user2) # Act response = chat_client.get(f"/api/chat?q={query}&stream=true") response_message = response.content.decode("utf-8") # Assert assert response.status_code == 200 assert "Fujiang" not in response_message # ---------------------------------------------------------------------------------------------------- @pytest.mark.django_db(transaction=True) @pytest.mark.chatquality def test_answer_from_retrieved_content_using_notes_command(chat_client, default_user2: KhojUser): # Arrange query = urllib.parse.quote("/notes Where was Xi Li born?") message_list = [] create_conversation(message_list, default_user2) # Act response = chat_client.get(f"/api/chat?q={query}&stream=true") response_message = response.content.decode("utf-8") # Assert assert response.status_code == 200 assert "Fujiang" in response_message # ---------------------------------------------------------------------------------------------------- @pytest.mark.django_db(transaction=True) @pytest.mark.chatquality def test_answer_not_known_using_notes_command(chat_client_no_background, default_user2: KhojUser): # Arrange query = urllib.parse.quote("/notes Where was Testatron born?") message_list = [] create_conversation(message_list, default_user2) # Act response = chat_client_no_background.get(f"/api/chat?q={query}&stream=true") response_message = response.content.decode("utf-8") # Assert assert response.status_code == 200 assert response_message == prompts.no_entries_found.format() # ---------------------------------------------------------------------------------------------------- @pytest.mark.django_db(transaction=True) @pytest.mark.chatquality def test_summarize_one_file(chat_client, default_user2: KhojUser): message_list = [] conversation = create_conversation(message_list, default_user2) # post "Xi Li.markdown" file to the file filters file_list = ( Entry.objects.filter(user=default_user2, file_source="computer") .distinct("file_path") .values_list("file_path", flat=True) ) # pick the file that has "Xi Li.markdown" in the name summarization_file = "" for file in file_list: if "Birthday Gift for Xiu turning 4.markdown" in file: summarization_file = file break assert summarization_file != "" response = chat_client.post( "api/chat/conversation/file-filters", json={"filename": summarization_file, "conversation_id": str(conversation.id)}, ) query = urllib.parse.quote("/summarize") response = chat_client.get(f"/api/chat?q={query}&conversation_id={conversation.id}&stream=true") response_message = response.content.decode("utf-8") # Assert assert response_message != "" assert response_message != "No files selected for summarization. Please add files using the section on the left." assert response_message != "Only one file can be selected for summarization." @pytest.mark.django_db(transaction=True) @pytest.mark.chatquality def test_summarize_extra_text(chat_client, default_user2: KhojUser): message_list = [] conversation = create_conversation(message_list, default_user2) # post "Xi Li.markdown" file to the file filters file_list = ( Entry.objects.filter(user=default_user2, file_source="computer") .distinct("file_path") .values_list("file_path", flat=True) ) # pick the file that has "Xi Li.markdown" in the name summarization_file = "" for file in file_list: if "Birthday Gift for Xiu turning 4.markdown" in file: summarization_file = file break assert summarization_file != "" response = chat_client.post( "api/chat/conversation/file-filters", json={"filename": summarization_file, "conversation_id": str(conversation.id)}, ) query = urllib.parse.quote("/summarize tell me about Xiu") response = chat_client.get(f"/api/chat?q={query}&conversation_id={conversation.id}&stream=true") response_message = response.content.decode("utf-8") # Assert assert response_message != "" assert response_message != "No files selected for summarization. Please add files using the section on the left." assert response_message != "Only one file can be selected for summarization." @pytest.mark.django_db(transaction=True) @pytest.mark.chatquality def test_summarize_multiple_files(chat_client, default_user2: KhojUser): message_list = [] conversation = create_conversation(message_list, default_user2) # post "Xi Li.markdown" file to the file filters file_list = ( Entry.objects.filter(user=default_user2, file_source="computer") .distinct("file_path") .values_list("file_path", flat=True) ) response = chat_client.post( "api/chat/conversation/file-filters", json={"filename": file_list[0], "conversation_id": str(conversation.id)} ) response = chat_client.post( "api/chat/conversation/file-filters", json={"filename": file_list[1], "conversation_id": str(conversation.id)} ) query = urllib.parse.quote("/summarize") response = chat_client.get(f"/api/chat?q={query}&conversation_id={conversation.id}&stream=true") response_message = response.content.decode("utf-8") # Assert assert response_message == "Only one file can be selected for summarization." @pytest.mark.django_db(transaction=True) @pytest.mark.chatquality def test_summarize_no_files(chat_client, default_user2: KhojUser): message_list = [] conversation = create_conversation(message_list, default_user2) query = urllib.parse.quote("/summarize") response = chat_client.get(f"/api/chat?q={query}&conversation_id={conversation.id}&stream=true") response_message = response.content.decode("utf-8") # Assert assert response_message == "No files selected for summarization. Please add files using the section on the left." @pytest.mark.django_db(transaction=True) @pytest.mark.chatquality def test_summarize_different_conversation(chat_client, default_user2: KhojUser): message_list = [] conversation1 = create_conversation(message_list, default_user2) conversation2 = create_conversation(message_list, default_user2) file_list = ( Entry.objects.filter(user=default_user2, file_source="computer") .distinct("file_path") .values_list("file_path", flat=True) ) summarization_file = "" for file in file_list: if "Birthday Gift for Xiu turning 4.markdown" in file: summarization_file = file break assert summarization_file != "" # add file filter to conversation 1. response = chat_client.post( "api/chat/conversation/file-filters", json={"filename": summarization_file, "conversation_id": str(conversation1.id)}, ) query = urllib.parse.quote("/summarize") response = chat_client.get(f"/api/chat?q={query}&conversation_id={conversation2.id}&stream=true") response_message = response.content.decode("utf-8") # Assert assert response_message == "No files selected for summarization. Please add files using the section on the left." # now make sure that the file filter is still in conversation 1 response = chat_client.get(f"/api/chat?q={query}&conversation_id={conversation1.id}&stream=true") response_message = response.content.decode("utf-8") # Assert assert response_message != "" assert response_message != "No files selected for summarization. Please add files using the section on the left." assert response_message != "Only one file can be selected for summarization." @pytest.mark.django_db(transaction=True) @pytest.mark.chatquality def test_summarize_nonexistant_file(chat_client, default_user2: KhojUser): message_list = [] conversation = create_conversation(message_list, default_user2) # post "imaginary.markdown" file to the file filters response = chat_client.post( "api/chat/conversation/file-filters", json={"filename": "imaginary.markdown", "conversation_id": str(conversation.id)}, ) query = urllib.parse.quote("/summarize") response = chat_client.get(f"/api/chat?q={query}&conversation_id={conversation.id}&stream=true") response_message = response.content.decode("utf-8") # Assert assert response_message == "No files selected for summarization. Please add files using the section on the left." @pytest.mark.django_db(transaction=True) @pytest.mark.chatquality def test_summarize_diff_user_file(chat_client, default_user: KhojUser, pdf_configured_user1, default_user2: KhojUser): message_list = [] conversation = create_conversation(message_list, default_user2) # Get the pdf file called singlepage.pdf file_list = ( Entry.objects.filter(user=default_user, file_source="computer") .distinct("file_path") .values_list("file_path", flat=True) ) summarization_file = "" for file in file_list: if "singlepage.pdf" in file: summarization_file = file break assert summarization_file != "" # add singlepage.pdf to the file filters response = chat_client.post( "api/chat/conversation/file-filters", json={"filename": summarization_file, "conversation_id": str(conversation.id)}, ) query = urllib.parse.quote("/summarize") response = chat_client.get(f"/api/chat?q={query}&conversation_id={conversation.id}&stream=true") response_message = response.content.decode("utf-8") # Assert assert response_message == "No files selected for summarization. Please add files using the section on the left." # ---------------------------------------------------------------------------------------------------- @pytest.mark.xfail(AssertionError, reason="Chat director not capable of answering time aware questions yet") @pytest.mark.django_db(transaction=True) @pytest.mark.chatquality @freeze_time("2023-04-01", ignore=["transformers"]) def test_answer_requires_current_date_awareness(chat_client): "Chat actor should be able to answer questions relative to current date using provided notes" # Act response = chat_client.get(f'/api/chat?q="Where did I have lunch today?"&stream=true') response_message = response.content.decode("utf-8") # Assert expected_responses = ["Arak", "Medellin"] assert response.status_code == 200 assert any([expected_response in response_message for expected_response in expected_responses]), ( "Expected chat director to say Arak, Medellin, but got: " + response_message ) # ---------------------------------------------------------------------------------------------------- @pytest.mark.django_db(transaction=True) @pytest.mark.chatquality @freeze_time("2023-04-01", ignore=["transformers"]) def test_answer_requires_date_aware_aggregation_across_provided_notes(chat_client): "Chat director should be able to answer questions that require date aware aggregation across multiple notes" # Act response = chat_client.get(f'/api/chat?q="How much did I spend on dining this year?"&stream=true') response_message = response.content.decode("utf-8") # Assert assert response.status_code == 200 assert "23" in response_message # ---------------------------------------------------------------------------------------------------- @pytest.mark.django_db(transaction=True) @pytest.mark.chatquality def test_answer_general_question_not_in_chat_history_or_retrieved_content(chat_client, default_user2: KhojUser): # Arrange message_list = [ ("Hello, my name is Testatron. Who are you?", "Hi, I am Khoj, a personal assistant. How can I help?", []), ("When was I born?", "You were born on 1st April 1984.", []), ("Where was I born?", "You were born Testville.", []), ] create_conversation(message_list, default_user2) # Act response = chat_client.get(f'/api/chat?q="Write a haiku about unit testing. Do not say anything else."&stream=true') response_message = response.content.decode("utf-8").split("### compiled references")[0] # Assert expected_responses = ["test", "Test"] assert response.status_code == 200 assert len(response_message.splitlines()) == 3 # haikus are 3 lines long assert any([expected_response in response_message for expected_response in expected_responses]), ( "Expected [T|t]est in response, but got: " + response_message ) # ---------------------------------------------------------------------------------------------------- @pytest.mark.django_db(transaction=True) @pytest.mark.chatquality def test_ask_for_clarification_if_not_enough_context_in_question(chat_client_no_background): # Act response = chat_client_no_background.get(f'/api/chat?q="What is the name of Namitas older son?"&stream=true') response_message = response.content.decode("utf-8").split("### compiled references")[0].lower() # Assert expected_responses = [ "which of them", "which one is", "which of namita's sons", "the birth order", "provide more context", "provide me with more context", "don't have that", "haven't provided me", ] assert response.status_code == 200 assert any([expected_response in response_message for expected_response in expected_responses]), ( "Expected chat director to ask for clarification in response, but got: " + response_message ) # ---------------------------------------------------------------------------------------------------- @pytest.mark.xfail(reason="Chat director not capable of answering this question yet") @pytest.mark.django_db(transaction=True) @pytest.mark.chatquality def test_answer_in_chat_history_beyond_lookback_window(chat_client, default_user2: KhojUser): # Arrange message_list = [ ("Hello, my name is Testatron. Who are you?", "Hi, I am Khoj, a personal assistant. How can I help?", []), ("When was I born?", "You were born on 1st April 1984.", []), ("Where was I born?", "You were born Testville.", []), ] create_conversation(message_list, default_user2) # Act response = chat_client.get(f'/api/chat?q="What is my name?"&stream=true') response_message = response.content.decode("utf-8") # Assert expected_responses = ["Testatron", "testatron"] assert response.status_code == 200 assert any([expected_response in response_message.lower() for expected_response in expected_responses]), ( "Expected [T|t]estatron in response, but got: " + response_message ) # ---------------------------------------------------------------------------------------------------- @pytest.mark.chatquality @pytest.mark.django_db(transaction=True) def test_answer_in_chat_history_by_conversation_id(chat_client, default_user2: KhojUser): # Arrange message_list = [ ("Hello, my name is Testatron. Who are you?", "Hi, I am Khoj, a personal assistant. How can I help?", []), ("When was I born?", "You were born on 1st April 1984.", []), ("What's my favorite color", "Your favorite color is green.", []), ("Where was I born?", "You were born Testville.", []), ] message_list2 = [ ("Hello, my name is Julia. Who are you?", "Hi, I am Khoj, a personal assistant. How can I help?", []), ("When was I born?", "You were born on 14th August 1947.", []), ("What's my favorite color", "Your favorite color is maroon.", []), ("Where was I born?", "You were born in a potato farm.", []), ] conversation = create_conversation(message_list, default_user2) create_conversation(message_list2, default_user2) # Act query = urllib.parse.quote("/general What is my favorite color?") response = chat_client.get(f"/api/chat?q={query}&conversation_id={conversation.id}&stream=true") response_message = response.content.decode("utf-8") # Assert expected_responses = ["green"] assert response.status_code == 200 assert any([expected_response in response_message.lower() for expected_response in expected_responses]), ( "Expected green in response, but got: " + response_message ) # ---------------------------------------------------------------------------------------------------- @pytest.mark.chatquality @pytest.mark.django_db(transaction=True) def test_answer_in_chat_history_by_conversation_id_with_agent( chat_client, default_user2: KhojUser, openai_agent: Agent ): # Arrange message_list = [ ("Hello, my name is Testatron. Who are you?", "Hi, I am Khoj, a personal assistant. How can I help?", []), ("When was I born?", "You were born on 1st April 1984.", []), ("What's my favorite color", "Your favorite color is green.", []), ("Where was I born?", "You were born Testville.", []), ("What did I buy?", "You bought an apple for 2.00, an orange for 3.00, and a potato for 8.00", []), ] conversation = create_conversation(message_list, default_user2, openai_agent) # Act query = urllib.parse.quote("/general What did I eat for breakfast?") response = chat_client.get(f"/api/chat?q={query}&conversation_id={conversation.id}&stream=true") response_message = response.content.decode("utf-8") # Assert that agent only responds with the summary of spending expected_responses = ["13.00", "13", "13.0", "thirteen"] assert response.status_code == 200 assert any([expected_response in response_message.lower() for expected_response in expected_responses]), ( "Expected green in response, but got: " + response_message ) # ---------------------------------------------------------------------------------------------------- @pytest.mark.django_db(transaction=True) @pytest.mark.chatquality def test_answer_requires_multiple_independent_searches(chat_client): "Chat director should be able to answer by doing multiple independent searches for required information" # Act response = chat_client.get(f'/api/chat?q="Is Xi older than Namita? Just the older persons full name"&stream=true') response_message = response.content.decode("utf-8").split("### compiled references")[0].lower() # Assert expected_responses = ["he is older than namita", "xi is older than namita", "xi li is older than namita"] only_full_name_check = "xi li" in response_message and "namita" not in response_message comparative_statement_check = any( [expected_response in response_message for expected_response in expected_responses] ) assert response.status_code == 200 assert only_full_name_check or comparative_statement_check, ( "Expected Xi is older than Namita, but got: " + response_message ) # ---------------------------------------------------------------------------------------------------- @pytest.mark.django_db(transaction=True) def test_answer_using_file_filter(chat_client): "Chat should be able to use search filters in the query" # Act query = urllib.parse.quote( 'Is Xi older than Namita? Just say the older persons full name. file:"Namita.markdown" file:"Xi Li.markdown"' ) response = chat_client.get(f"/api/chat?q={query}&stream=true") response_message = response.content.decode("utf-8").split("### compiled references")[0].lower() # Assert expected_responses = ["he is older than namita", "xi is older than namita", "xi li is older than namita"] only_full_name_check = "xi li" in response_message and "namita" not in response_message comparative_statement_check = any( [expected_response in response_message for expected_response in expected_responses] ) assert response.status_code == 200 assert only_full_name_check or comparative_statement_check, ( "Expected Xi is older than Namita, but got: " + response_message ) # ---------------------------------------------------------------------------------------------------- @pytest.mark.anyio @pytest.mark.django_db(transaction=True) async def test_get_correct_tools_online(chat_client): # Arrange user_query = "What's the weather in Patagonia this week?" # Act tools = await aget_relevant_information_sources(user_query, {}, False) # Assert tools = [tool.value for tool in tools] assert tools == ["online"] # ---------------------------------------------------------------------------------------------------- @pytest.mark.anyio @pytest.mark.django_db(transaction=True) async def test_get_correct_tools_notes(chat_client): # Arrange user_query = "Where did I go for my first battleship training?" # Act tools = await aget_relevant_information_sources(user_query, {}, False) # Assert tools = [tool.value for tool in tools] assert tools == ["notes"] # ---------------------------------------------------------------------------------------------------- @pytest.mark.anyio @pytest.mark.django_db(transaction=True) async def test_get_correct_tools_online_or_general_and_notes(chat_client): # Arrange user_query = "What's the highest point in Patagonia and have I been there?" # Act tools = await aget_relevant_information_sources(user_query, {}, False) # Assert tools = [tool.value for tool in tools] assert len(tools) == 2 assert "online" in tools or "general" in tools assert "notes" in tools # ---------------------------------------------------------------------------------------------------- @pytest.mark.anyio @pytest.mark.django_db(transaction=True) async def test_get_correct_tools_general(chat_client): # Arrange user_query = "How many noble gases are there?" # Act tools = await aget_relevant_information_sources(user_query, {}, False) # Assert tools = [tool.value for tool in tools] assert tools == ["general"] # ---------------------------------------------------------------------------------------------------- @pytest.mark.anyio @pytest.mark.django_db(transaction=True) async def test_get_correct_tools_with_chat_history(chat_client): # Arrange user_query = "What's the latest in the Israel/Palestine conflict?" chat_log = [ ( "Let's talk about the current events around the world.", "Sure, let's discuss the current events. What would you like to know?", [], ), ("What's up in New York City?", "A Pride parade has recently been held in New York City, on July 31st.", []), ] chat_history = generate_history(chat_log) # Act tools = await aget_relevant_information_sources(user_query, chat_history, False) # Assert tools = [tool.value for tool in tools] assert tools == ["online"]