mirror of
https://github.com/khoj-ai/khoj.git
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a3eb17b7d4
* Have Khoj dynamically select which conversation command(s) are to be used in the chat flow - Intercept the commands if in default mode, and have Khoj dynamically guess which tools would be the most relevant for answering the user's query * Remove conditional for default to enter online search mode * Add multiple-tool examples in the prompt, make prompt for tools more specific to info collection
540 lines
21 KiB
Python
540 lines
21 KiB
Python
import os
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import urllib.parse
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from urllib.parse import quote
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import pytest
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from faker import Faker
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from freezegun import freeze_time
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from khoj.processor.conversation import prompts
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from khoj.processor.conversation.utils import message_to_log
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from khoj.routers.helpers import aget_relevant_information_sources
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from tests.helpers import ConversationFactory
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SKIP_TESTS = True
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pytestmark = pytest.mark.skipif(
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SKIP_TESTS,
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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.",
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)
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fake = Faker()
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# Helpers
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# ----------------------------------------------------------------------------------------------------
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def populate_chat_history(message_list, user):
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# Generate conversation logs
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conversation_log = {"chat": []}
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for user_message, llm_message, context in message_list:
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conversation_log["chat"] += message_to_log(
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user_message,
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llm_message,
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{"context": context, "intent": {"query": user_message, "inferred-queries": f'["{user_message}"]'}},
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)
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# Update Conversation Metadata Logs in Database
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ConversationFactory(user=user, conversation_log=conversation_log)
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# Tests
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# ----------------------------------------------------------------------------------------------------
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@pytest.mark.xfail(AssertionError, reason="Chat director not capable of answering this question yet")
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@pytest.mark.chatquality
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@pytest.mark.django_db(transaction=True)
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def test_chat_with_no_chat_history_or_retrieved_content_gpt4all(client_offline_chat):
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# Act
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response = client_offline_chat.get(f'/api/chat?q="Hello, my name is Testatron. Who are you?"&stream=true')
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response_message = response.content.decode("utf-8")
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# Assert
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expected_responses = ["Khoj", "khoj"]
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assert response.status_code == 200
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assert any([expected_response in response_message for expected_response in expected_responses]), (
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"Expected assistants name, [K|k]hoj, in response but got: " + response_message
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)
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# ----------------------------------------------------------------------------------------------------
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@pytest.mark.skipif(os.getenv("SERPER_DEV_API_KEY") is None, reason="requires SERPER_DEV_API_KEY")
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@pytest.mark.chatquality
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@pytest.mark.django_db(transaction=True)
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def test_chat_with_online_content(client_offline_chat):
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# Act
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q = "/online give me the link to paul graham's essay how to do great work"
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encoded_q = quote(q, safe="")
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response = client_offline_chat.get(f"/api/chat?q={encoded_q}&stream=true")
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response_message = response.content.decode("utf-8")
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response_message = response_message.split("### compiled references")[0]
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# Assert
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expected_responses = ["http://www.paulgraham.com/greatwork.html"]
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assert response.status_code == 200
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assert any([expected_response in response_message for expected_response in expected_responses]), (
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"Expected links or serper not setup in response but got: " + response_message
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)
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# ----------------------------------------------------------------------------------------------------
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@pytest.mark.skipif(
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os.getenv("SERPER_DEV_API_KEY") is None or os.getenv("OLOSTEP_API_KEY") is None,
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reason="requires SERPER_DEV_API_KEY and OLOSTEP_API_KEY",
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)
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@pytest.mark.chatquality
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@pytest.mark.django_db(transaction=True)
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def test_chat_with_online_webpage_content(client_offline_chat):
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# Act
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q = "/online how many firefighters were involved in the great chicago fire and which year did it take place?"
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encoded_q = quote(q, safe="")
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response = client_offline_chat.get(f"/api/chat?q={encoded_q}&stream=true")
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response_message = response.content.decode("utf-8")
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response_message = response_message.split("### compiled references")[0]
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# Assert
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expected_responses = ["185", "1871", "horse"]
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assert response.status_code == 200
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assert any([expected_response in response_message for expected_response in expected_responses]), (
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"Expected links or serper not setup in response but got: " + response_message
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)
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# ----------------------------------------------------------------------------------------------------
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@pytest.mark.chatquality
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@pytest.mark.django_db(transaction=True)
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def test_answer_from_chat_history(client_offline_chat, default_user2):
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# Arrange
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message_list = [
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("Hello, my name is Testatron. Who are you?", "Hi, I am Khoj, a personal assistant. How can I help?", []),
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("When was I born?", "You were born on 1st April 1984.", []),
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]
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populate_chat_history(message_list, default_user2)
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# Act
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response = client_offline_chat.get(f'/api/chat?q="What is my name?"&stream=true')
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response_message = response.content.decode("utf-8")
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# Assert
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expected_responses = ["Testatron", "testatron"]
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assert response.status_code == 200
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assert any([expected_response in response_message for expected_response in expected_responses]), (
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"Expected [T|t]estatron in response but got: " + response_message
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)
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# ----------------------------------------------------------------------------------------------------
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@pytest.mark.chatquality
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@pytest.mark.django_db(transaction=True)
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def test_answer_from_currently_retrieved_content(client_offline_chat, default_user2):
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# Arrange
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message_list = [
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("Hello, my name is Testatron. Who are you?", "Hi, I am Khoj, a personal assistant. How can I help?", []),
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(
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"When was I born?",
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"You were born on 1st April 1984.",
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["Testatron was born on 1st April 1984 in Testville."],
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),
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]
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populate_chat_history(message_list, default_user2)
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# Act
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response = client_offline_chat.get(f'/api/chat?q="Where was Xi Li born?"')
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response_message = response.content.decode("utf-8")
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# Assert
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assert response.status_code == 200
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assert "Fujiang" in response_message
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# ----------------------------------------------------------------------------------------------------
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@pytest.mark.chatquality
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@pytest.mark.django_db(transaction=True)
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def test_answer_from_chat_history_and_previously_retrieved_content(client_offline_chat, default_user2):
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# Arrange
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message_list = [
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("Hello, my name is Testatron. Who are you?", "Hi, I am Khoj, a personal assistant. How can I help?", []),
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(
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"When was I born?",
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"You were born on 1st April 1984.",
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["Testatron was born on 1st April 1984 in Testville."],
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),
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]
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populate_chat_history(message_list, default_user2)
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# Act
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response = client_offline_chat.get(f'/api/chat?q="Where was I born?"')
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response_message = response.content.decode("utf-8")
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# Assert
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assert response.status_code == 200
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# 1. Infer who I am from chat history
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# 2. Infer I was born in Testville from previously retrieved notes
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assert "Testville" in response_message
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# ----------------------------------------------------------------------------------------------------
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@pytest.mark.xfail(
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AssertionError,
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reason="Chat director not capable of answering this question yet because it requires extract_questions",
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)
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@pytest.mark.chatquality
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@pytest.mark.django_db(transaction=True)
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def test_answer_from_chat_history_and_currently_retrieved_content(client_offline_chat, default_user2):
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# Arrange
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message_list = [
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("Hello, my name is Xi Li. Who are you?", "Hi, I am Khoj, a personal assistant. How can I help?", []),
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("When was I born?", "You were born on 1st April 1984.", []),
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]
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populate_chat_history(message_list, default_user2)
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# Act
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response = client_offline_chat.get(f'/api/chat?q="Where was I born?"')
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response_message = response.content.decode("utf-8")
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# Assert
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assert response.status_code == 200
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# Inference in a multi-turn conversation
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# 1. Infer who I am from chat history
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# 2. Search for notes about when <my_name_from_chat_history> was born
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# 3. Extract where I was born from currently retrieved notes
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assert "Fujiang" in response_message
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# ----------------------------------------------------------------------------------------------------
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@pytest.mark.xfail(AssertionError, reason="Chat director not capable of answering this question yet")
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@pytest.mark.chatquality
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@pytest.mark.django_db(transaction=True)
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def test_no_answer_in_chat_history_or_retrieved_content(client_offline_chat, default_user2):
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"Chat director should say don't know as not enough contexts in chat history or retrieved to answer question"
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# Arrange
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message_list = [
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("Hello, my name is Testatron. Who are you?", "Hi, I am Khoj, a personal assistant. How can I help?", []),
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("When was I born?", "You were born on 1st April 1984.", []),
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]
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populate_chat_history(message_list, default_user2)
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# Act
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response = client_offline_chat.get(f'/api/chat?q="Where was I born?"&stream=true')
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response_message = response.content.decode("utf-8")
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# Assert
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expected_responses = ["don't know", "do not know", "no information", "do not have", "don't have"]
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assert response.status_code == 200
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assert any([expected_response in response_message for expected_response in expected_responses]), (
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"Expected chat director to say they don't know in response, but got: " + response_message
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)
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# ----------------------------------------------------------------------------------------------------
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@pytest.mark.chatquality
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@pytest.mark.django_db(transaction=True)
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def test_answer_using_general_command(client_offline_chat, default_user2):
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# Arrange
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query = urllib.parse.quote("/general Where was Xi Li born?")
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message_list = []
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populate_chat_history(message_list, default_user2)
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# Act
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response = client_offline_chat.get(f"/api/chat?q={query}&stream=true")
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response_message = response.content.decode("utf-8")
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# Assert
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assert response.status_code == 200
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assert "Fujiang" not in response_message
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# ----------------------------------------------------------------------------------------------------
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@pytest.mark.chatquality
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@pytest.mark.django_db(transaction=True)
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def test_answer_from_retrieved_content_using_notes_command(client_offline_chat, default_user2):
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# Arrange
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query = urllib.parse.quote("/notes Where was Xi Li born?")
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message_list = []
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populate_chat_history(message_list, default_user2)
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# Act
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response = client_offline_chat.get(f"/api/chat?q={query}&stream=true")
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response_message = response.content.decode("utf-8")
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# Assert
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assert response.status_code == 200
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assert "Fujiang" in response_message
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# ----------------------------------------------------------------------------------------------------
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@pytest.mark.chatquality
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@pytest.mark.django_db(transaction=True)
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def test_answer_using_file_filter(client_offline_chat, default_user2):
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# Arrange
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no_answer_query = urllib.parse.quote('Where was Xi Li born? file:"Namita.markdown"')
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answer_query = urllib.parse.quote('Where was Xi Li born? file:"Xi Li.markdown"')
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message_list = []
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populate_chat_history(message_list, default_user2)
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# Act
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no_answer_response = client_offline_chat.get(f"/api/chat?q={no_answer_query}&stream=true").content.decode("utf-8")
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answer_response = client_offline_chat.get(f"/api/chat?q={answer_query}&stream=true").content.decode("utf-8")
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# Assert
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assert "Fujiang" not in no_answer_response
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assert "Fujiang" in answer_response
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# ----------------------------------------------------------------------------------------------------
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@pytest.mark.chatquality
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@pytest.mark.django_db(transaction=True)
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def test_answer_not_known_using_notes_command(client_offline_chat, default_user2):
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# Arrange
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query = urllib.parse.quote("/notes Where was Testatron born?")
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message_list = []
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populate_chat_history(message_list, default_user2)
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# Act
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response = client_offline_chat.get(f"/api/chat?q={query}&stream=true")
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response_message = response.content.decode("utf-8")
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# Assert
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assert response.status_code == 200
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assert response_message == prompts.no_notes_found.format()
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# ----------------------------------------------------------------------------------------------------
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@pytest.mark.chatquality
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@pytest.mark.django_db(transaction=True)
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@freeze_time("2023-04-01", ignore=["transformers"])
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def test_answer_requires_current_date_awareness(client_offline_chat):
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"Chat actor should be able to answer questions relative to current date using provided notes"
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# Arrange
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query = urllib.parse.quote("Where did I have lunch today?")
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# Act
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response = client_offline_chat.get(f"/api/chat?q={query}&stream=true")
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response_message = response.content.decode("utf-8")
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# Assert
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expected_responses = ["Arak", "Medellin"]
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assert response.status_code == 200
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assert any([expected_response in response_message for expected_response in expected_responses]), (
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"Expected chat director to say Arak, Medellin, but got: " + response_message
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)
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# ----------------------------------------------------------------------------------------------------
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@pytest.mark.xfail(AssertionError, reason="Chat director not capable of answering this question yet")
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@pytest.mark.chatquality
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@pytest.mark.django_db(transaction=True)
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@freeze_time("2023-04-01", ignore=["transformers"])
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def test_answer_requires_date_aware_aggregation_across_provided_notes(client_offline_chat):
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"Chat director should be able to answer questions that require date aware aggregation across multiple notes"
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# Act
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response = client_offline_chat.get(f'/api/chat?q="How much did I spend on dining this year?"&stream=true')
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response_message = response.content.decode("utf-8")
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# Assert
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assert response.status_code == 200
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assert "23" in response_message
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# ----------------------------------------------------------------------------------------------------
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@pytest.mark.chatquality
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@pytest.mark.django_db(transaction=True)
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def test_answer_general_question_not_in_chat_history_or_retrieved_content(client_offline_chat, default_user2):
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# Arrange
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message_list = [
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("Hello, my name is Testatron. Who are you?", "Hi, I am Khoj, a personal assistant. How can I help?", []),
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("When was I born?", "You were born on 1st April 1984.", []),
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("Where was I born?", "You were born Testville.", []),
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]
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populate_chat_history(message_list, default_user2)
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# Act
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response = client_offline_chat.get(
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f'/api/chat?q=""Write a haiku about unit testing. Do not say anything else."&stream=true'
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)
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response_message = response.content.decode("utf-8")
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# Assert
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expected_responses = ["test", "Test"]
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assert response.status_code == 200
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assert len(response_message.splitlines()) == 3 # haikus are 3 lines long
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assert any([expected_response in response_message for expected_response in expected_responses]), (
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"Expected [T|t]est in response, but got: " + response_message
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)
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# ----------------------------------------------------------------------------------------------------
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@pytest.mark.xfail(reason="Chat director not consistently capable of asking for clarification yet.")
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@pytest.mark.chatquality
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@pytest.mark.django_db(transaction=True)
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def test_ask_for_clarification_if_not_enough_context_in_question(client_offline_chat, default_user2):
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# Act
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response = client_offline_chat.get(f'/api/chat?q="What is the name of Namitas older son"&stream=true')
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response_message = response.content.decode("utf-8")
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# Assert
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expected_responses = [
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"which of them is the older",
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"which one is older",
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"which of them is older",
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"which one is the older",
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]
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assert response.status_code == 200
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assert any([expected_response in response_message.lower() for expected_response in expected_responses]), (
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"Expected chat director to ask for clarification in response, but got: " + response_message
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)
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# ----------------------------------------------------------------------------------------------------
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@pytest.mark.xfail(reason="Chat director not capable of answering this question yet")
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@pytest.mark.chatquality
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@pytest.mark.django_db(transaction=True)
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def test_answer_in_chat_history_beyond_lookback_window(client_offline_chat, default_user2):
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# Arrange
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message_list = [
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("Hello, my name is Testatron. Who are you?", "Hi, I am Khoj, a personal assistant. How can I help?", []),
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("When was I born?", "You were born on 1st April 1984.", []),
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("Where was I born?", "You were born Testville.", []),
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]
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populate_chat_history(message_list, default_user2)
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# Act
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response = client_offline_chat.get(f'/api/chat?q="What is my name?"&stream=true')
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response_message = response.content.decode("utf-8")
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# Assert
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expected_responses = ["Testatron", "testatron"]
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assert response.status_code == 200
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assert any([expected_response in response_message.lower() for expected_response in expected_responses]), (
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"Expected [T|t]estatron in response, but got: " + response_message
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)
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@pytest.mark.chatquality
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@pytest.mark.django_db(transaction=True)
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def test_answer_chat_history_very_long(client_offline_chat, default_user2):
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# Arrange
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message_list = [(" ".join([fake.paragraph() for _ in range(50)]), fake.sentence(), []) for _ in range(10)]
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populate_chat_history(message_list, default_user2)
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# Act
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response = client_offline_chat.get(f'/api/chat?q="What is my name?"&stream=true')
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response_message = response.content.decode("utf-8")
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# Assert
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assert response.status_code == 200
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assert len(response_message) > 0
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# ----------------------------------------------------------------------------------------------------
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@pytest.mark.chatquality
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@pytest.mark.django_db(transaction=True)
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def test_answer_requires_multiple_independent_searches(client_offline_chat):
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"Chat director should be able to answer by doing multiple independent searches for required information"
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# Act
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response = client_offline_chat.get(f'/api/chat?q="Is Xi older than Namita?"&stream=true')
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response_message = response.content.decode("utf-8")
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# Assert
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expected_responses = ["he is older than namita", "xi is older than namita", "xi li is older than namita"]
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assert response.status_code == 200
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assert any([expected_response in response_message.lower() for expected_response in expected_responses]), (
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"Expected Xi is older than Namita, but got: " + response_message
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)
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# ----------------------------------------------------------------------------------------------------
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@pytest.mark.anyio
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@pytest.mark.django_db(transaction=True)
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async def test_get_correct_tools_online(client_offline_chat):
|
|
# Arrange
|
|
user_query = "What's the weather in Patagonia this week?"
|
|
|
|
# Act
|
|
tools = await aget_relevant_information_sources(user_query, {})
|
|
|
|
# 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(client_offline_chat):
|
|
# Arrange
|
|
user_query = "Where did I go for my first battleship training?"
|
|
|
|
# Act
|
|
tools = await aget_relevant_information_sources(user_query, {})
|
|
|
|
# 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(client_offline_chat):
|
|
# Arrange
|
|
user_query = "What's the highest point in Patagonia and have I been there?"
|
|
|
|
# Act
|
|
tools = await aget_relevant_information_sources(user_query, {})
|
|
|
|
# Assert
|
|
tools = [tool.value for tool in tools]
|
|
assert len(tools) == 2
|
|
assert "online" or "general" in tools
|
|
assert "notes" in tools
|
|
|
|
|
|
# ----------------------------------------------------------------------------------------------------
|
|
@pytest.mark.anyio
|
|
@pytest.mark.django_db(transaction=True)
|
|
async def test_get_correct_tools_general(client_offline_chat):
|
|
# Arrange
|
|
user_query = "How many noble gases are there?"
|
|
|
|
# Act
|
|
tools = await aget_relevant_information_sources(user_query, {})
|
|
|
|
# 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(client_offline_chat):
|
|
# 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 = populate_chat_history(chat_log)
|
|
|
|
# Act
|
|
tools = await aget_relevant_information_sources(user_query, chat_history)
|
|
|
|
# Assert
|
|
tools = [tool.value for tool in tools]
|
|
assert tools == ["online"]
|
|
|
|
|
|
def populate_chat_history(message_list):
|
|
# Generate conversation logs
|
|
conversation_log = {"chat": []}
|
|
for user_message, gpt_message in message_list:
|
|
conversation_log["chat"] += message_to_log(
|
|
user_message,
|
|
gpt_message,
|
|
{"context": [], "intent": {"query": user_message, "inferred-queries": f'["{user_message}"]'}},
|
|
)
|
|
return conversation_log
|