# Standard Packages import urllib.parse from urllib.parse import quote # External Packages import pytest from freezegun import freeze_time from faker import Faker # Internal Packages from khoj.processor.conversation import prompts from khoj.processor.conversation.utils import message_to_log from tests.helpers import ConversationFactory SKIP_TESTS = True pytestmark = pytest.mark.skipif( SKIP_TESTS, reason="The GPT4All library has some quirks that make it hard to test in CI. This causes some tests to fail. Hence, disable it in CI.", ) fake = Faker() # Helpers # ---------------------------------------------------------------------------------------------------- def populate_chat_history(message_list, user): # Generate conversation logs conversation_log = {"chat": []} for user_message, llm_message, context in message_list: conversation_log["chat"] += message_to_log( user_message, llm_message, {"context": context, "intent": {"query": user_message, "inferred-queries": f'["{user_message}"]'}}, ) # Update Conversation Metadata Logs in Database ConversationFactory(user=user, conversation_log=conversation_log) # Tests # ---------------------------------------------------------------------------------------------------- @pytest.mark.xfail(AssertionError, reason="Chat director not capable of answering this question yet") @pytest.mark.chatquality @pytest.mark.django_db(transaction=True) def test_chat_with_no_chat_history_or_retrieved_content_gpt4all(client_offline_chat): # Act response = client_offline_chat.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.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 assistants name, [K|k]hoj, in response but got: " + response_message ) # ---------------------------------------------------------------------------------------------------- @pytest.mark.chatquality @pytest.mark.django_db(transaction=True) def test_answer_from_chat_history(client_offline_chat, default_user2): # 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.", []), ] populate_chat_history(message_list, default_user2) # Act response = client_offline_chat.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.chatquality @pytest.mark.django_db(transaction=True) def test_answer_from_currently_retrieved_content(client_offline_chat, default_user2): # 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."], ), ] populate_chat_history(message_list, default_user2) # Act response = client_offline_chat.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.chatquality @pytest.mark.django_db(transaction=True) def test_answer_from_chat_history_and_previously_retrieved_content(client_offline_chat, default_user2): # 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."], ), ] populate_chat_history(message_list, default_user2) # Act response = client_offline_chat.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 because it requires extract_questions", ) @pytest.mark.chatquality @pytest.mark.django_db(transaction=True) def test_answer_from_chat_history_and_currently_retrieved_content(client_offline_chat, default_user2): # 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.", []), ] populate_chat_history(message_list, default_user2) # Act response = client_offline_chat.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.xfail(AssertionError, reason="Chat director not capable of answering this question yet") @pytest.mark.chatquality @pytest.mark.django_db(transaction=True) def test_no_answer_in_chat_history_or_retrieved_content(client_offline_chat, default_user2): "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.", []), ] populate_chat_history(message_list, default_user2) # Act response = client_offline_chat.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"] assert response.status_code == 200 assert any([expected_response in response_message for expected_response in expected_responses]), ( "Expected chat director to say they don't know in response, but got: " + response_message ) # ---------------------------------------------------------------------------------------------------- @pytest.mark.chatquality @pytest.mark.django_db(transaction=True) def test_answer_using_general_command(client_offline_chat, default_user2): # Arrange query = urllib.parse.quote("/general Where was Xi Li born?") message_list = [] populate_chat_history(message_list, default_user2) # Act response = client_offline_chat.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.chatquality @pytest.mark.django_db(transaction=True) def test_answer_from_retrieved_content_using_notes_command(client_offline_chat, default_user2): # Arrange query = urllib.parse.quote("/notes Where was Xi Li born?") message_list = [] populate_chat_history(message_list, default_user2) # Act response = client_offline_chat.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.chatquality @pytest.mark.django_db(transaction=True) def test_answer_using_file_filter(client_offline_chat, default_user2): # Arrange no_answer_query = urllib.parse.quote('Where was Xi Li born? file:"Namita.markdown"') answer_query = urllib.parse.quote('Where was Xi Li born? file:"Xi Li.markdown"') message_list = [] populate_chat_history(message_list, default_user2) # Act no_answer_response = client_offline_chat.get(f"/api/chat?q={no_answer_query}&stream=true").content.decode("utf-8") answer_response = client_offline_chat.get(f"/api/chat?q={answer_query}&stream=true").content.decode("utf-8") # Assert assert "Fujiang" not in no_answer_response assert "Fujiang" in answer_response # ---------------------------------------------------------------------------------------------------- @pytest.mark.chatquality @pytest.mark.django_db(transaction=True) def test_answer_not_known_using_notes_command(client_offline_chat, default_user2): # Arrange query = urllib.parse.quote("/notes Where was Testatron born?") message_list = [] populate_chat_history(message_list, default_user2) # Act response = client_offline_chat.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_notes_found.format() # ---------------------------------------------------------------------------------------------------- @pytest.mark.xfail(AssertionError, reason="Chat director not capable of answering time aware questions yet") @pytest.mark.chatquality @pytest.mark.django_db(transaction=True) @freeze_time("2023-04-01") def test_answer_requires_current_date_awareness(client_offline_chat): "Chat actor should be able to answer questions relative to current date using provided notes" # Act response = client_offline_chat.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.xfail(AssertionError, reason="Chat director not capable of answering this question yet") @pytest.mark.chatquality @pytest.mark.django_db(transaction=True) @freeze_time("2023-04-01") def test_answer_requires_date_aware_aggregation_across_provided_notes(client_offline_chat): "Chat director should be able to answer questions that require date aware aggregation across multiple notes" # Act response = client_offline_chat.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.xfail(AssertionError, reason="Chat director not capable of answering this question yet") @pytest.mark.chatquality @pytest.mark.django_db(transaction=True) def test_answer_general_question_not_in_chat_history_or_retrieved_content(client_offline_chat, default_user2): # 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.", []), ] populate_chat_history(message_list, default_user2) # Act response = client_offline_chat.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") # 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.xfail(reason="Chat director not consistently capable of asking for clarification yet.") @pytest.mark.chatquality @pytest.mark.django_db(transaction=True) def test_ask_for_clarification_if_not_enough_context_in_question(client_offline_chat, default_user2): # Act response = client_offline_chat.get(f'/api/chat?q="What is the name of Namitas older son"&stream=true') response_message = response.content.decode("utf-8") # Assert expected_responses = [ "which of them is the older", "which one is older", "which of them is older", "which one is the older", ] assert response.status_code == 200 assert any([expected_response in response_message.lower() 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.chatquality @pytest.mark.django_db(transaction=True) def test_answer_in_chat_history_beyond_lookback_window(client_offline_chat, default_user2): # 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.", []), ] populate_chat_history(message_list, default_user2) # Act response = client_offline_chat.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_chat_history_very_long(client_offline_chat, default_user2): # Arrange message_list = [(" ".join([fake.paragraph() for _ in range(50)]), fake.sentence(), []) for _ in range(10)] populate_chat_history(message_list, default_user2) # Act response = client_offline_chat.get(f'/api/chat?q="What is my name?"&stream=true') response_message = response.content.decode("utf-8") # Assert assert response.status_code == 200 assert len(response_message) > 0 # ---------------------------------------------------------------------------------------------------- @pytest.mark.xfail(AssertionError, reason="Chat director not capable of answering this question yet") @pytest.mark.chatquality @pytest.mark.django_db(transaction=True) def test_answer_requires_multiple_independent_searches(client_offline_chat): "Chat director should be able to answer by doing multiple independent searches for required information" # Act response = client_offline_chat.get(f'/api/chat?q="Is Xi older than Namita?"&stream=true') response_message = response.content.decode("utf-8") # Assert expected_responses = ["he is older than namita", "xi is older than namita", "xi li is older than namita"] assert response.status_code == 200 assert any([expected_response in response_message.lower() for expected_response in expected_responses]), ( "Expected Xi is older than Namita, but got: " + response_message )