Add new director tests for the offline chat model with llama v2

This commit is contained in:
sabaimran 2023-07-31 20:24:52 -07:00
parent 209975e065
commit 8dd5756ce9
2 changed files with 342 additions and 0 deletions

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@ -170,6 +170,20 @@ def processor_config(tmp_path_factory):
return processor_config return processor_config
@pytest.fixture(scope="session")
def processor_config_offline_chat(tmp_path_factory):
processor_dir = tmp_path_factory.mktemp("processor")
# Setup conversation processor, if OpenAI API key is set
processor_config = ProcessorConfig()
processor_config.conversation = ConversationProcessorConfig(
enable_offline_chat=True,
conversation_logfile=processor_dir.joinpath("conversation_logs.json"),
)
return processor_config
@pytest.fixture(scope="session") @pytest.fixture(scope="session")
def chat_client(md_content_config: ContentConfig, search_config: SearchConfig, processor_config: ProcessorConfig): def chat_client(md_content_config: ContentConfig, search_config: SearchConfig, processor_config: ProcessorConfig):
# Initialize app state # Initialize app state
@ -211,6 +225,32 @@ def client(content_config: ContentConfig, search_config: SearchConfig, processor
content_config.image, state.search_models.image_search, regenerate=False content_config.image, state.search_models.image_search, regenerate=False
) )
state.processor_config = configure_processor(processor_config)
configure_routes(app)
return TestClient(app)
@pytest.fixture(scope="function")
def client_offline_chat(
content_config: ContentConfig, search_config: SearchConfig, processor_config_offline_chat: ProcessorConfig
):
state.config.content_type = content_config
state.config.search_type = search_config
state.SearchType = configure_search_types(state.config)
# These lines help us Mock the Search models for these search types
state.search_models.text_search = text_search.initialize_model(search_config.asymmetric)
state.search_models.image_search = image_search.initialize_model(search_config.image)
state.content_index.org = text_search.setup(
OrgToJsonl, content_config.org, state.search_models.text_search.bi_encoder, regenerate=False
)
state.content_index.image = image_search.setup(
content_config.image, state.search_models.image_search, regenerate=False
)
state.processor_config = configure_processor(processor_config_offline_chat)
configure_routes(app) configure_routes(app)
return TestClient(app) return TestClient(app)

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@ -0,0 +1,302 @@
# External Packages
import pytest
from freezegun import freeze_time
from faker import Faker
# Internal Packages
from khoj.processor.conversation.utils import message_to_log
from khoj.utils import state
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):
# 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 Application State
state.processor_config.conversation.meta_log = conversation_log
# Tests
# ----------------------------------------------------------------------------------------------------
@pytest.mark.chatquality
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
def test_answer_from_chat_history(client_offline_chat):
# 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)
# 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
def test_answer_from_currently_retrieved_content(client_offline_chat):
# 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)
# 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
def test_answer_from_chat_history_and_previously_retrieved_content(client_offline_chat):
# 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)
# 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")
@pytest.mark.chatquality
def test_answer_from_chat_history_and_currently_retrieved_content(client_offline_chat):
# 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)
# 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.chatquality
def test_no_answer_in_chat_history_or_retrieved_content(client_offline_chat):
"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)
# 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.xfail(AssertionError, reason="Chat director not capable of answering time aware questions yet")
@pytest.mark.chatquality
@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.chatquality
@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.chatquality
def test_answer_general_question_not_in_chat_history_or_retrieved_content(client_offline_chat):
# 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)
# 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
def test_ask_for_clarification_if_not_enough_context_in_question(client_offline_chat):
# 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
def test_answer_in_chat_history_beyond_lookback_window(client_offline_chat):
# 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)
# 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
def test_answer_chat_history_very_long(client_offline_chat):
# Arrange
message_list = [(fake.paragraph(), fake.sentence(), []) for _ in range(100)]
populate_chat_history(message_list)
# 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
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
)