mirror of
https://github.com/khoj-ai/khoj.git
synced 2024-11-30 19:03:01 +01:00
8b2af0b5ef
* Add support for gpt4all's falcon model as an additional conversation processor - Update the UI pages to allow the user to point to the new endpoints for GPT - Update the internal schemas to support both GPT4 models and OpenAI - Add unit tests benchmarking some of the Falcon performance * Add exc_info to include stack trace in error logs for text processors * Pull shared functions into utils.py to be used across gpt4 and gpt * Add migration for new processor conversation schema * Skip GPT4All actor tests due to typing issues * Fix Obsidian processor configuration in auto-configure flow * Rename enable_local_llm to enable_offline_chat
452 lines
17 KiB
Python
452 lines
17 KiB
Python
# Standard Packages
|
|
import os
|
|
from datetime import datetime
|
|
|
|
# External Packages
|
|
import pytest
|
|
import freezegun
|
|
from freezegun import freeze_time
|
|
|
|
# Internal Packages
|
|
from khoj.processor.conversation.openai.gpt import converse, extract_questions
|
|
from khoj.processor.conversation.utils import message_to_log
|
|
|
|
|
|
# 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,
|
|
)
|
|
|
|
freezegun.configure(extend_ignore_list=["transformers"])
|
|
|
|
|
|
# Test
|
|
# ----------------------------------------------------------------------------------------------------
|
|
@pytest.mark.chatquality
|
|
@freeze_time("1984-04-02")
|
|
def test_extract_question_with_date_filter_from_relative_day():
|
|
# Act
|
|
response = extract_questions("Where did I go for dinner yesterday?")
|
|
|
|
# Assert
|
|
expected_responses = [
|
|
("dt='1984-04-01'", ""),
|
|
("dt>='1984-04-01'", "dt<'1984-04-02'"),
|
|
("dt>'1984-03-31'", "dt<'1984-04-02'"),
|
|
]
|
|
assert len(response) == 1
|
|
assert any([start in response[0] and end in response[0] for start, end in expected_responses]), (
|
|
"Expected date filter to limit to 1st April 1984 in response but got: " + response[0]
|
|
)
|
|
|
|
|
|
# ----------------------------------------------------------------------------------------------------
|
|
@pytest.mark.chatquality
|
|
@freeze_time("1984-04-02")
|
|
def test_extract_question_with_date_filter_from_relative_month():
|
|
# Act
|
|
response = extract_questions("Which countries did I visit last month?")
|
|
|
|
# Assert
|
|
expected_responses = [("dt>='1984-03-01'", "dt<'1984-04-01'"), ("dt>='1984-03-01'", "dt<='1984-03-31'")]
|
|
assert len(response) == 1
|
|
assert any([start in response[0] and end in response[0] for start, end in expected_responses]), (
|
|
"Expected date filter to limit to March 1984 in response but got: " + response[0]
|
|
)
|
|
|
|
|
|
# ----------------------------------------------------------------------------------------------------
|
|
@pytest.mark.chatquality
|
|
@freeze_time("1984-04-02")
|
|
def test_extract_question_with_date_filter_from_relative_year():
|
|
# Act
|
|
response = extract_questions("Which countries have I visited this year?")
|
|
|
|
# Assert
|
|
expected_responses = [
|
|
("dt>='1984-01-01'", ""),
|
|
("dt>='1984-01-01'", "dt<'1985-01-01'"),
|
|
("dt>='1984-01-01'", "dt<='1984-12-31'"),
|
|
]
|
|
assert len(response) == 1
|
|
assert any([start in response[0] and end in response[0] for start, end in expected_responses]), (
|
|
"Expected date filter to limit to 1984 in response but got: " + response[0]
|
|
)
|
|
|
|
|
|
# ----------------------------------------------------------------------------------------------------
|
|
@pytest.mark.chatquality
|
|
def test_extract_multiple_explicit_questions_from_message():
|
|
# Act
|
|
response = extract_questions("What is the Sun? What is the Moon?")
|
|
|
|
# Assert
|
|
expected_responses = [
|
|
("sun", "moon"),
|
|
]
|
|
assert len(response) == 2
|
|
assert any([start in response[0].lower() and end in response[1].lower() for start, end in expected_responses]), (
|
|
"Expected two search queries in response but got: " + response[0]
|
|
)
|
|
|
|
|
|
# ----------------------------------------------------------------------------------------------------
|
|
@pytest.mark.chatquality
|
|
def test_extract_multiple_implicit_questions_from_message():
|
|
# Act
|
|
response = extract_questions("Is Morpheus taller than Neo?")
|
|
|
|
# Assert
|
|
expected_responses = [
|
|
("morpheus", "neo"),
|
|
]
|
|
assert len(response) == 2
|
|
assert any([start in response[0].lower() and end in response[1].lower() for start, end in expected_responses]), (
|
|
"Expected two search queries in response but got: " + response[0]
|
|
)
|
|
|
|
|
|
# ----------------------------------------------------------------------------------------------------
|
|
@pytest.mark.chatquality
|
|
def test_generate_search_query_using_question_from_chat_history():
|
|
# Arrange
|
|
message_list = [
|
|
("What is the name of Mr. Vader's daughter?", "Princess Leia", []),
|
|
]
|
|
|
|
# Act
|
|
response = extract_questions("Does he have any sons?", conversation_log=populate_chat_history(message_list))
|
|
|
|
# Assert
|
|
assert len(response) == 1
|
|
assert "Vader" in response[0]
|
|
|
|
|
|
# ----------------------------------------------------------------------------------------------------
|
|
@pytest.mark.chatquality
|
|
def test_generate_search_query_using_answer_from_chat_history():
|
|
# Arrange
|
|
message_list = [
|
|
("What is the name of Mr. Vader's daughter?", "Princess Leia", []),
|
|
]
|
|
|
|
# Act
|
|
response = extract_questions("Is she a Jedi?", conversation_log=populate_chat_history(message_list))
|
|
|
|
# Assert
|
|
assert len(response) == 1
|
|
assert "Leia" in response[0]
|
|
|
|
|
|
# ----------------------------------------------------------------------------------------------------
|
|
@pytest.mark.chatquality
|
|
def test_generate_search_query_using_question_and_answer_from_chat_history():
|
|
# Arrange
|
|
message_list = [
|
|
("Does Luke Skywalker have any Siblings?", "Yes, Princess Leia", []),
|
|
]
|
|
|
|
# Act
|
|
response = extract_questions("Who is their father?", conversation_log=populate_chat_history(message_list))
|
|
|
|
# Assert
|
|
assert len(response) == 1
|
|
assert "Leia" in response[0] and "Luke" in response[0]
|
|
|
|
|
|
# ----------------------------------------------------------------------------------------------------
|
|
@pytest.mark.chatquality
|
|
def test_generate_search_query_with_date_and_context_from_chat_history():
|
|
# Arrange
|
|
message_list = [
|
|
("When did I visit Masai Mara?", "You visited Masai Mara in April 2000", []),
|
|
]
|
|
|
|
# Act
|
|
response = extract_questions(
|
|
"What was the Pizza place we ate at over there?", conversation_log=populate_chat_history(message_list)
|
|
)
|
|
|
|
# Assert
|
|
expected_responses = [
|
|
("dt>='2000-04-01'", "dt<'2000-05-01'"),
|
|
("dt>='2000-04-01'", "dt<='2000-04-30'"),
|
|
('dt>="2000-04-01"', 'dt<"2000-05-01"'),
|
|
('dt>="2000-04-01"', 'dt<="2000-04-30"'),
|
|
]
|
|
assert len(response) == 1
|
|
assert "Masai Mara" in response[0]
|
|
assert any([start in response[0] and end in response[0] for start, end in expected_responses]), (
|
|
"Expected date filter to limit to April 2000 in response but got: " + response[0]
|
|
)
|
|
|
|
|
|
# ----------------------------------------------------------------------------------------------------
|
|
@pytest.mark.chatquality
|
|
def test_chat_with_no_chat_history_or_retrieved_content():
|
|
# Act
|
|
response_gen = converse(
|
|
references=[], # Assume no context retrieved from notes for the user_query
|
|
user_query="Hello, my name is Testatron. Who are you?",
|
|
api_key=api_key,
|
|
)
|
|
response = "".join([response_chunk for response_chunk in response_gen])
|
|
|
|
# Assert
|
|
expected_responses = ["Khoj", "khoj"]
|
|
assert len(response) > 0
|
|
assert any([expected_response in response for expected_response in expected_responses]), (
|
|
"Expected assistants name, [K|k]hoj, in response but got: " + response
|
|
)
|
|
|
|
|
|
# ----------------------------------------------------------------------------------------------------
|
|
@pytest.mark.chatquality
|
|
def test_answer_from_chat_history_and_no_content():
|
|
# 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.", []),
|
|
]
|
|
|
|
# Act
|
|
response_gen = converse(
|
|
references=[], # Assume no context retrieved from notes for the user_query
|
|
user_query="What is my name?",
|
|
conversation_log=populate_chat_history(message_list),
|
|
api_key=api_key,
|
|
)
|
|
response = "".join([response_chunk for response_chunk in response_gen])
|
|
|
|
# Assert
|
|
expected_responses = ["Testatron", "testatron"]
|
|
assert len(response) > 0
|
|
assert any([expected_response in response for expected_response in expected_responses]), (
|
|
"Expected [T|t]estatron in response but got: " + response
|
|
)
|
|
|
|
|
|
# ----------------------------------------------------------------------------------------------------
|
|
@pytest.mark.chatquality
|
|
def test_answer_from_chat_history_and_previously_retrieved_content():
|
|
"Chat actor needs to use context in previous notes and chat history 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.",
|
|
["Testatron was born on 1st April 1984 in Testville."],
|
|
),
|
|
]
|
|
|
|
# Act
|
|
response_gen = converse(
|
|
references=[], # Assume no context retrieved from notes for the user_query
|
|
user_query="Where was I born?",
|
|
conversation_log=populate_chat_history(message_list),
|
|
api_key=api_key,
|
|
)
|
|
response = "".join([response_chunk for response_chunk in response_gen])
|
|
|
|
# Assert
|
|
assert len(response) > 0
|
|
# Infer who I am and use that to infer I was born in Testville using chat history and previously retrieved notes
|
|
assert "Testville" in response
|
|
|
|
|
|
# ----------------------------------------------------------------------------------------------------
|
|
@pytest.mark.chatquality
|
|
def test_answer_from_chat_history_and_currently_retrieved_content():
|
|
"Chat actor needs to use context across currently retrieved notes and chat history 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.", []),
|
|
]
|
|
|
|
# Act
|
|
response_gen = converse(
|
|
references=[
|
|
"Testatron was born on 1st April 1984 in Testville."
|
|
], # Assume context retrieved from notes for the user_query
|
|
user_query="Where was I born?",
|
|
conversation_log=populate_chat_history(message_list),
|
|
api_key=api_key,
|
|
)
|
|
response = "".join([response_chunk for response_chunk in response_gen])
|
|
|
|
# Assert
|
|
assert len(response) > 0
|
|
assert "Testville" in response
|
|
|
|
|
|
# ----------------------------------------------------------------------------------------------------
|
|
@pytest.mark.chatquality
|
|
def test_refuse_answering_unanswerable_question():
|
|
"Chat actor should not try make up answers to unanswerable questions."
|
|
# 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.", []),
|
|
]
|
|
|
|
# Act
|
|
response_gen = converse(
|
|
references=[], # Assume no context retrieved from notes for the user_query
|
|
user_query="Where was I born?",
|
|
conversation_log=populate_chat_history(message_list),
|
|
api_key=api_key,
|
|
)
|
|
response = "".join([response_chunk for response_chunk in response_gen])
|
|
|
|
# Assert
|
|
expected_responses = [
|
|
"don't know",
|
|
"do not know",
|
|
"no information",
|
|
"do not have",
|
|
"don't have",
|
|
"cannot answer",
|
|
"I'm sorry",
|
|
]
|
|
assert len(response) > 0
|
|
assert any([expected_response in response for expected_response in expected_responses]), (
|
|
"Expected chat actor to say they don't know in response, but got: " + response
|
|
)
|
|
|
|
|
|
# ----------------------------------------------------------------------------------------------------
|
|
@pytest.mark.chatquality
|
|
def test_answer_requires_current_date_awareness():
|
|
"Chat actor should be able to answer questions relative to current date using provided notes"
|
|
# Arrange
|
|
context = [
|
|
f"""{datetime.now().strftime("%Y-%m-%d")} "Naco Taco" "Tacos for Dinner"
|
|
Expenses:Food:Dining 10.00 USD""",
|
|
f"""{datetime.now().strftime("%Y-%m-%d")} "Sagar Ratna" "Dosa for Lunch"
|
|
Expenses:Food:Dining 10.00 USD""",
|
|
f"""2020-04-01 "SuperMercado" "Bananas"
|
|
Expenses:Food:Groceries 10.00 USD""",
|
|
f"""2020-01-01 "Naco Taco" "Burittos for Dinner"
|
|
Expenses:Food:Dining 10.00 USD""",
|
|
]
|
|
|
|
# Act
|
|
response_gen = converse(
|
|
references=context, # Assume context retrieved from notes for the user_query
|
|
user_query="What did I have for Dinner today?",
|
|
api_key=api_key,
|
|
)
|
|
response = "".join([response_chunk for response_chunk in response_gen])
|
|
|
|
# Assert
|
|
expected_responses = ["tacos", "Tacos"]
|
|
assert len(response) > 0
|
|
assert any([expected_response in response for expected_response in expected_responses]), (
|
|
"Expected [T|t]acos in response, but got: " + response
|
|
)
|
|
|
|
|
|
# ----------------------------------------------------------------------------------------------------
|
|
@pytest.mark.chatquality
|
|
def test_answer_requires_date_aware_aggregation_across_provided_notes():
|
|
"Chat actor should be able to answer questions that require date aware aggregation across multiple notes"
|
|
# Arrange
|
|
context = [
|
|
f"""# {datetime.now().strftime("%Y-%m-%d")} "Naco Taco" "Tacos for Dinner"
|
|
Expenses:Food:Dining 10.00 USD""",
|
|
f"""{datetime.now().strftime("%Y-%m-%d")} "Sagar Ratna" "Dosa for Lunch"
|
|
Expenses:Food:Dining 10.00 USD""",
|
|
f"""2020-04-01 "SuperMercado" "Bananas"
|
|
Expenses:Food:Groceries 10.00 USD""",
|
|
f"""2020-01-01 "Naco Taco" "Burittos for Dinner"
|
|
Expenses:Food:Dining 10.00 USD""",
|
|
]
|
|
|
|
# Act
|
|
response_gen = converse(
|
|
references=context, # Assume context retrieved from notes for the user_query
|
|
user_query="How much did I spend on dining this year?",
|
|
api_key=api_key,
|
|
)
|
|
response = "".join([response_chunk for response_chunk in response_gen])
|
|
|
|
# Assert
|
|
assert len(response) > 0
|
|
assert "20" in response
|
|
|
|
|
|
# ----------------------------------------------------------------------------------------------------
|
|
@pytest.mark.chatquality
|
|
def test_answer_general_question_not_in_chat_history_or_retrieved_content():
|
|
"Chat actor should be able to answer general questions not requiring looking at chat history or notes"
|
|
# 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.", []),
|
|
]
|
|
|
|
# Act
|
|
response_gen = converse(
|
|
references=[], # Assume no context retrieved from notes for the user_query
|
|
user_query="Write a haiku about unit testing in 3 lines",
|
|
conversation_log=populate_chat_history(message_list),
|
|
api_key=api_key,
|
|
)
|
|
response = "".join([response_chunk for response_chunk in response_gen])
|
|
|
|
# Assert
|
|
expected_responses = ["test", "Test"]
|
|
assert len(response.splitlines()) == 3 # haikus are 3 lines long
|
|
assert any([expected_response in response for expected_response in expected_responses]), (
|
|
"Expected [T|t]est in response, but got: " + response
|
|
)
|
|
|
|
|
|
# ----------------------------------------------------------------------------------------------------
|
|
@pytest.mark.xfail(reason="Chat actor not consistently capable of asking for clarification yet.")
|
|
@pytest.mark.chatquality
|
|
def test_ask_for_clarification_if_not_enough_context_in_question():
|
|
"Chat actor should ask for clarification if question cannot be answered unambiguously with the provided context"
|
|
# Arrange
|
|
context = [
|
|
f"""# Ramya
|
|
My sister, Ramya, is married to Kali Devi. They have 2 kids, Ravi and Rani.""",
|
|
f"""# Fang
|
|
My sister, Fang Liu is married to Xi Li. They have 1 kid, Xiao Li.""",
|
|
f"""# Aiyla
|
|
My sister, Aiyla is married to Tolga. They have 3 kids, Yildiz, Ali and Ahmet.""",
|
|
]
|
|
|
|
# Act
|
|
response_gen = converse(
|
|
references=context, # Assume context retrieved from notes for the user_query
|
|
user_query="How many kids does my older sister have?",
|
|
api_key=api_key,
|
|
)
|
|
response = "".join([response_chunk for response_chunk in response_gen])
|
|
|
|
# Assert
|
|
expected_responses = ["which sister", "Which sister", "which of your sister", "Which of your sister"]
|
|
assert any([expected_response in response for expected_response in expected_responses]), (
|
|
"Expected chat actor to ask for clarification in response, but got: " + response
|
|
)
|
|
|
|
|
|
# Helpers
|
|
# ----------------------------------------------------------------------------------------------------
|
|
def populate_chat_history(message_list):
|
|
# Generate conversation logs
|
|
conversation_log = {"chat": []}
|
|
for user_message, gpt_message, context in message_list:
|
|
conversation_log["chat"] += message_to_log(
|
|
user_message,
|
|
gpt_message,
|
|
{"context": context, "intent": {"query": user_message, "inferred-queries": f'["{user_message}"]'}},
|
|
)
|
|
return conversation_log
|