khoj/tests/test_gpt4all_chat_director.py

541 lines
21 KiB
Python
Raw Normal View History

import os
import urllib.parse
2023-11-22 08:08:36 +01:00
from urllib.parse import quote
import pytest
from faker import Faker
from freezegun import freeze_time
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
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
)
2023-11-22 08:08:36 +01:00
# ----------------------------------------------------------------------------------------------------
@pytest.mark.skipif(os.getenv("SERPER_DEV_API_KEY") is None, reason="requires SERPER_DEV_API_KEY")
2023-11-22 08:08:36 +01:00
@pytest.mark.chatquality
@pytest.mark.django_db(transaction=True)
def test_chat_with_online_content(client_offline_chat):
2023-11-22 08:08:36 +01:00
# Act
q = "/online give me the link to paul graham's essay how to do great work"
encoded_q = quote(q, safe="")
response = client_offline_chat.get(f"/api/chat?q={encoded_q}&stream=true")
2023-11-22 08:08:36 +01:00
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(client_offline_chat):
# 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 = client_offline_chat.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
2023-11-22 08:08:36 +01:00
)
# ----------------------------------------------------------------------------------------------------
@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 <my_name_from_chat_history> 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.chatquality
@pytest.mark.django_db(transaction=True)
@freeze_time("2023-04-01", ignore=["transformers"])
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"
# Arrange
query = urllib.parse.quote("Where did I have lunch today?")
# Act
response = client_offline_chat.get(f"/api/chat?q={query}&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", ignore=["transformers"])
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.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
2023-08-01 05:55:19 +02:00
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.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
)
# ----------------------------------------------------------------------------------------------------
@pytest.mark.anyio
@pytest.mark.django_db(transaction=True)
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