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khoj/tests/test_openai_chat_director.py

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import os
import urllib.parse
from urllib.parse import quote
import pytest
from freezegun import freeze_time
from khoj.database.models import Agent, Entry, KhojUser, LocalPdfConfig
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
# 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,
)
# Helpers
# ----------------------------------------------------------------------------------------------------
def generate_history(message_list):
# Generate conversation logs
conversation_log = {"chat": []}
for user_message, gpt_message, context in message_list:
message_to_log(
user_message,
gpt_message,
{"context": context, "intent": {"query": user_message, "inferred-queries": f'["{user_message}"]'}},
conversation_log=conversation_log.get("chat", []),
)
return conversation_log
def create_conversation(message_list, user, agent=None):
# Generate conversation logs
conversation_log = generate_history(message_list)
# Update Conversation Metadata Logs in Database
return ConversationFactory(user=user, conversation_log=conversation_log, agent=agent)
# Tests
# ----------------------------------------------------------------------------------------------------
@pytest.mark.chatquality
@pytest.mark.django_db(transaction=True)
def test_chat_with_no_chat_history_or_retrieved_content(chat_client):
# Act
response = chat_client.post(f"/api/chat", json={"q": "Hello, my name is Testatron. Who are you?"})
response_message = response.json()["response"]
# Assert
expected_responses = ["Khoj", "khoj"]
assert response.status_code == 200
assert any([expected_response in response_message for expected_response in expected_responses]), (
"Expected assistants name, [K|k]hoj, in response but got: " + response_message
)
# ----------------------------------------------------------------------------------------------------
@pytest.mark.chatquality
@pytest.mark.django_db(transaction=True)
def test_chat_with_online_content(chat_client):
# Act
q = "/online give me the link to paul graham's essay how to do great work"
response = chat_client.post(f"/api/chat?", json={"q": q})
response_message = response.json()["response"]
# Assert
expected_responses = [
"paulgraham.com/greatwork.html",
"paulgraham.com/hwh.html",
]
assert response.status_code == 200
assert any(
[expected_response in response_message for expected_response in expected_responses]
), f"Expected links: {expected_responses}. Actual response: {response_message}"
# ----------------------------------------------------------------------------------------------------
@pytest.mark.chatquality
@pytest.mark.django_db(transaction=True)
def test_chat_with_online_webpage_content(chat_client):
# Act
q = "/online how many firefighters were involved in the great chicago fire and which year did it take place?"
response = chat_client.post(f"/api/chat", json={"q": q})
response_message = response.json()["response"]
# Assert
expected_responses = ["185", "1871", "horse"]
assert response.status_code == 200
assert any(
[expected_response in response_message for expected_response in expected_responses]
), f"Expected links: {expected_responses}. Actual response: {response_message}"
# ----------------------------------------------------------------------------------------------------
@pytest.mark.django_db(transaction=True)
@pytest.mark.chatquality
def test_answer_from_chat_history(chat_client, default_user2: KhojUser):
# 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.", []),
]
create_conversation(message_list, default_user2)
# Act
response = chat_client.post(f"/api/chat", json={"q": "What is my name?"})
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.django_db(transaction=True)
@pytest.mark.chatquality
def test_answer_from_currently_retrieved_content(chat_client, default_user2: KhojUser):
# 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."],
),
]
create_conversation(message_list, default_user2)
# Act
response = chat_client.post(f"/api/chat", json={"q": "Where was Xi Li born?"})
response_message = response.json()["response"]
# Assert
assert response.status_code == 200
assert "Fujiang" in response_message
# ----------------------------------------------------------------------------------------------------
@pytest.mark.django_db(transaction=True)
@pytest.mark.chatquality
def test_answer_from_chat_history_and_previously_retrieved_content(chat_client_no_background, default_user2: KhojUser):
# 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."],
),
]
create_conversation(message_list, default_user2)
# Act
response = chat_client_no_background.post(f"/api/chat", json={"q": "Where was I born?"})
response_message = response.json()["response"]
# 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.django_db(transaction=True)
@pytest.mark.chatquality
def test_answer_from_chat_history_and_currently_retrieved_content(chat_client, default_user2: KhojUser):
# 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.", []),
]
create_conversation(message_list, default_user2)
# Act
response = chat_client.post(f"/api/chat", json={"q": "Where was I born?"})
response_message = response.json()["response"]
# 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.django_db(transaction=True)
@pytest.mark.chatquality
def test_no_answer_in_chat_history_or_retrieved_content(chat_client, default_user2: KhojUser):
"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.", []),
]
create_conversation(message_list, default_user2)
# Act
response = chat_client.post(f"/api/chat", json={"q": "Where was I born?"})
response_message = response.json()["response"]
# Assert
expected_responses = [
"don't know",
"do not know",
"no information",
"do not have",
"don't have",
"where were you born?",
"where you were born?",
]
assert response.status_code == 200
assert any([expected_response in response_message.lower() for expected_response in expected_responses]), (
"Expected chat director to say they don't know in response, but got: " + response_message
)
# ----------------------------------------------------------------------------------------------------
@pytest.mark.django_db(transaction=True)
@pytest.mark.chatquality
def test_answer_using_general_command(chat_client, default_user2: KhojUser):
# Arrange
query = "/general Where was Xi Li born?"
message_list = []
create_conversation(message_list, default_user2)
# Act
response = chat_client.post(f"/api/chat", json={"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.django_db(transaction=True)
@pytest.mark.chatquality
def test_answer_from_retrieved_content_using_notes_command(chat_client, default_user2: KhojUser):
# Arrange
query = "/notes Where was Xi Li born?"
message_list = []
create_conversation(message_list, default_user2)
# Act
response = chat_client.post(f"/api/chat", json={"q": query})
response_message = response.json()["response"]
# Assert
assert response.status_code == 200
assert "Fujiang" in response_message
# ----------------------------------------------------------------------------------------------------
@pytest.mark.django_db(transaction=True)
@pytest.mark.chatquality
def test_answer_not_known_using_notes_command(chat_client_no_background, default_user2: KhojUser):
# Arrange
query = "/notes Where was Testatron born?"
message_list = []
create_conversation(message_list, default_user2)
# Act
response = chat_client_no_background.post(f"/api/chat", json={"q": query})
response_message = response.json()["response"]
# Assert
assert response.status_code == 200
assert response_message == prompts.no_entries_found.format()
# ----------------------------------------------------------------------------------------------------
@pytest.mark.django_db(transaction=True)
@pytest.mark.chatquality
def test_summarize_one_file(chat_client, default_user2: KhojUser):
message_list = []
conversation = create_conversation(message_list, default_user2)
# post "Xi Li.markdown" file to the file filters
file_list = (
Entry.objects.filter(user=default_user2, file_source="computer")
.distinct("file_path")
.values_list("file_path", flat=True)
)
# pick the file that has "Xi Li.markdown" in the name
summarization_file = ""
for file in file_list:
if "Birthday Gift for Xiu turning 4.markdown" in file:
summarization_file = file
break
assert summarization_file != ""
response = chat_client.post(
"api/chat/conversation/file-filters",
json={"filename": summarization_file, "conversation_id": str(conversation.id)},
)
query = "/summarize"
response = chat_client.post(f"/api/chat", json={"q": query, "conversation_id": str(conversation.id)})
response_message = response.json()["response"]
# Assert
assert response_message != ""
assert response_message != "No files selected for summarization. Please add files using the section on the left."
@pytest.mark.django_db(transaction=True)
@pytest.mark.chatquality
def test_summarize_extra_text(chat_client, default_user2: KhojUser):
message_list = []
conversation = create_conversation(message_list, default_user2)
# post "Xi Li.markdown" file to the file filters
file_list = (
Entry.objects.filter(user=default_user2, file_source="computer")
.distinct("file_path")
.values_list("file_path", flat=True)
)
# pick the file that has "Xi Li.markdown" in the name
summarization_file = ""
for file in file_list:
if "Birthday Gift for Xiu turning 4.markdown" in file:
summarization_file = file
break
assert summarization_file != ""
response = chat_client.post(
"api/chat/conversation/file-filters",
json={"filename": summarization_file, "conversation_id": str(conversation.id)},
)
query = "/summarize tell me about Xiu"
response = chat_client.post(f"/api/chat", json={"q": query, "conversation_id": str(conversation.id)})
response_message = response.json()["response"]
# Assert
assert response_message != ""
assert response_message != "No files selected for summarization. Please add files using the section on the left."
@pytest.mark.django_db(transaction=True)
@pytest.mark.chatquality
def test_summarize_multiple_files(chat_client, default_user2: KhojUser):
message_list = []
conversation = create_conversation(message_list, default_user2)
# post "Xi Li.markdown" file to the file filters
file_list = (
Entry.objects.filter(user=default_user2, file_source="computer")
.distinct("file_path")
.values_list("file_path", flat=True)
)
response = chat_client.post(
"api/chat/conversation/file-filters", json={"filename": file_list[0], "conversation_id": str(conversation.id)}
)
response = chat_client.post(
"api/chat/conversation/file-filters", json={"filename": file_list[1], "conversation_id": str(conversation.id)}
)
query = "/summarize"
response = chat_client.post(f"/api/chat", json={"q": query, "conversation_id": str(conversation.id)})
response_message = response.json()["response"]
# Assert
assert response_message is not None
@pytest.mark.django_db(transaction=True)
@pytest.mark.chatquality
def test_summarize_no_files(chat_client, default_user2: KhojUser):
# Arrange
message_list = []
conversation = create_conversation(message_list, default_user2)
# Act
query = "/summarize"
response = chat_client.post(f"/api/chat", json={"q": query, "conversation_id": str(conversation.id)})
response_message = response.json()["response"]
# Assert
assert response_message == "No files selected for summarization. Please add files using the section on the left."
@pytest.mark.django_db(transaction=True)
@pytest.mark.chatquality
def test_summarize_different_conversation(chat_client, default_user2: KhojUser):
# Arrange
message_list = []
conversation1 = create_conversation(message_list, default_user2)
conversation2 = create_conversation(message_list, default_user2)
file_list = (
Entry.objects.filter(user=default_user2, file_source="computer")
.distinct("file_path")
.values_list("file_path", flat=True)
)
summarization_file = ""
for file in file_list:
if "Birthday Gift for Xiu turning 4.markdown" in file:
summarization_file = file
break
assert summarization_file != ""
# add file filter to conversation 1.
response = chat_client.post(
"api/chat/conversation/file-filters",
json={"filename": summarization_file, "conversation_id": str(conversation1.id)},
)
# Act
query = "/summarize"
response = chat_client.post(f"/api/chat", json={"q": query, "conversation_id": str(conversation2.id)})
response_message_conv2 = response.json()["response"]
# now make sure that the file filter is still in conversation 1
response = chat_client.post(f"/api/chat", json={"q": query, "conversation_id": str(conversation1.id)})
response_message_conv1 = response.json()["response"]
# Assert
assert (
response_message_conv2 == "No files selected for summarization. Please add files using the section on the left."
)
# now check the file filter is still in conversation 1
assert response_message_conv1 != ""
assert (
response_message_conv1 != "No files selected for summarization. Please add files using the section on the left."
)
@pytest.mark.django_db(transaction=True)
@pytest.mark.chatquality
def test_summarize_nonexistant_file(chat_client, default_user2: KhojUser):
message_list = []
conversation = create_conversation(message_list, default_user2)
# post "imaginary.markdown" file to the file filters
response = chat_client.post(
"api/chat/conversation/file-filters",
json={"filename": "imaginary.markdown", "conversation_id": str(conversation.id)},
)
query = urllib.parse.quote("/summarize")
response = chat_client.post(f"/api/chat", json={"q": query, "conversation_id": str(conversation.id)})
response_message = response.json()["response"]
# Assert
assert response_message == "No files selected for summarization. Please add files using the section on the left."
@pytest.mark.django_db(transaction=True)
@pytest.mark.chatquality
def test_summarize_diff_user_file(chat_client, default_user: KhojUser, pdf_configured_user1, default_user2: KhojUser):
# Arrange
message_list = []
conversation = create_conversation(message_list, default_user2)
# Get the pdf file called singlepage.pdf
file_list = (
Entry.objects.filter(user=default_user, file_source="computer")
.distinct("file_path")
.values_list("file_path", flat=True)
)
summarization_file = ""
for file in file_list:
if "singlepage.pdf" in file:
summarization_file = file
break
assert summarization_file != ""
# add singlepage.pdf to the file filters
response = chat_client.post(
"api/chat/conversation/file-filters",
json={"filename": summarization_file, "conversation_id": str(conversation.id)},
)
# Act
query = "/summarize"
response = chat_client.post(f"/api/chat", json={"q": query, "conversation_id": str(conversation.id)})
response_message = response.json()["response"]
# Assert
assert response_message == "No files selected for summarization. Please add files using the section on the left."
# ----------------------------------------------------------------------------------------------------
@pytest.mark.xfail(AssertionError, reason="Chat director not capable of answering time aware questions yet")
@pytest.mark.django_db(transaction=True)
@pytest.mark.chatquality
@freeze_time("2023-04-01", ignore=["transformers"])
def test_answer_requires_current_date_awareness(chat_client):
"Chat actor should be able to answer questions relative to current date using provided notes"
# Act
response = chat_client.post(f"/api/chat", json={"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.django_db(transaction=True)
@pytest.mark.chatquality
@freeze_time("2023-04-01", ignore=["transformers"])
def test_answer_requires_date_aware_aggregation_across_provided_notes(chat_client):
"Chat director should be able to answer questions that require date aware aggregation across multiple notes"
# Act
query = "How much did I spend on dining this year?"
response = chat_client.post(f"/api/chat", json={"q": query})
response_message = response.json()["response"]
# Assert
assert response.status_code == 200
assert "23" in response_message
# ----------------------------------------------------------------------------------------------------
@pytest.mark.django_db(transaction=True)
@pytest.mark.chatquality
def test_answer_general_question_not_in_chat_history_or_retrieved_content(chat_client, default_user2: KhojUser):
# 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.", []),
]
create_conversation(message_list, default_user2)
# Act
query = "Write a haiku about unit testing. Do not say anything else."
response = chat_client.post(f"/api/chat", json={"q": query})
response_message = response.json()["response"]
# 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.django_db(transaction=True)
@pytest.mark.chatquality
def test_ask_for_clarification_if_not_enough_context_in_question(chat_client_no_background):
# Act
query = "What is the name of Namitas older son?"
response = chat_client_no_background.post(f"/api/chat", json={"q": query})
response_message = response.json()["response"].lower()
# Assert
expected_responses = [
"which of them",
"which one is",
"which of namita's sons",
"the birth order",
"provide more context",
"provide me with more context",
"don't have that",
"haven't provided me",
]
assert response.status_code == 200
assert any([expected_response in response_message 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.django_db(transaction=True)
@pytest.mark.chatquality
def test_answer_in_chat_history_beyond_lookback_window(chat_client, default_user2: KhojUser):
# 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.", []),
]
create_conversation(message_list, default_user2)
# Act
query = "What is my name?"
response = chat_client.post(f"/api/chat", json={"q": query})
response_message = response.json()["response"]
# 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_in_chat_history_by_conversation_id(chat_client, default_user2: KhojUser):
# 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.", []),
("What's my favorite color", "Your favorite color is green.", []),
("Where was I born?", "You were born Testville.", []),
]
message_list2 = [
("Hello, my name is Julia. Who are you?", "Hi, I am Khoj, a personal assistant. How can I help?", []),
("When was I born?", "You were born on 14th August 1947.", []),
("What's my favorite color", "Your favorite color is maroon.", []),
("Where was I born?", "You were born in a potato farm.", []),
]
conversation = create_conversation(message_list, default_user2)
create_conversation(message_list2, default_user2)
# Act
query = "/general What is my favorite color?"
response = chat_client.post(f"/api/chat", json={"q": query, "conversation_id": conversation.id, "stream": True})
response_message = response.content.decode("utf-8")
# Assert
expected_responses = ["green"]
assert response.status_code == 200
assert any([expected_response in response_message.lower() for expected_response in expected_responses]), (
"Expected green in response, but got: " + response_message
)
# ----------------------------------------------------------------------------------------------------
@pytest.mark.chatquality
@pytest.mark.django_db(transaction=True)
def test_answer_in_chat_history_by_conversation_id_with_agent(
chat_client, default_user2: KhojUser, openai_agent: Agent
):
# 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.", []),
("What's my favorite color", "Your favorite color is green.", []),
("Where was I born?", "You were born Testville.", []),
(
"What did I buy?",
"You bought an apple for 2.00, an orange for 3.00, and a potato for 8.00 for breakfast",
[],
),
]
conversation = create_conversation(message_list, default_user2, openai_agent)
# Act
query = "/general What did I buy for breakfast?"
response = chat_client.post(f"/api/chat", json={"q": query, "conversation_id": conversation.id})
response_message = response.json()["response"]
# Assert that agent only responds with the summary of spending
expected_responses = ["13.00", "13", "13.0", "thirteen"]
assert response.status_code == 200
assert any([expected_response in response_message.lower() for expected_response in expected_responses]), (
"Expected amount in response, but got: " + response_message
)
# ----------------------------------------------------------------------------------------------------
@pytest.mark.django_db(transaction=True)
@pytest.mark.chatquality
def test_answer_requires_multiple_independent_searches(chat_client):
"Chat director should be able to answer by doing multiple independent searches for required information"
# Act
query = "Is Xi Li older than Namita? Just say the older persons full name"
response = chat_client.post(f"/api/chat", json={"q": query})
response_message = response.json()["response"].lower()
# Assert
expected_responses = ["he is older than namita", "xi is older than namita", "xi li is older than namita"]
only_full_name_check = "xi li" in response_message and "namita" not in response_message
comparative_statement_check = any(
[expected_response in response_message for expected_response in expected_responses]
)
assert response.status_code == 200
assert only_full_name_check or comparative_statement_check, (
"Expected Xi is older than Namita, but got: " + response_message
)
# ----------------------------------------------------------------------------------------------------
@pytest.mark.django_db(transaction=True)
def test_answer_using_file_filter(chat_client):
"Chat should be able to use search filters in the query"
# Act
query = (
'Is Xi Li older than Namita? Just say the older persons full name. file:"Namita.markdown" file:"Xi Li.markdown"'
)
response = chat_client.post(f"/api/chat", json={"q": query})
response_message = response.json()["response"].lower()
# Assert
expected_responses = ["he is older than namita", "xi is older than namita", "xi li is older than namita"]
only_full_name_check = "xi li" in response_message and "namita" not in response_message
comparative_statement_check = any(
[expected_response in response_message for expected_response in expected_responses]
)
assert response.status_code == 200
assert only_full_name_check or comparative_statement_check, (
"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(chat_client):
# Arrange
user_query = "What's the weather in Patagonia this week?"
# Act
tools = await aget_relevant_information_sources(user_query, {}, False, False)
# 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(chat_client):
# Arrange
user_query = "Where did I go for my first battleship training?"
# Act
tools = await aget_relevant_information_sources(user_query, {}, False, False)
# 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(chat_client):
# Arrange
user_query = "What's the highest point in Patagonia and have I been there?"
# Act
tools = await aget_relevant_information_sources(user_query, {}, False, False)
# Assert
tools = [tool.value for tool in tools]
assert len(tools) == 2
assert "online" in tools or "general" in tools
assert "notes" in tools
# ----------------------------------------------------------------------------------------------------
@pytest.mark.anyio
@pytest.mark.django_db(transaction=True)
async def test_get_correct_tools_general(chat_client):
# Arrange
user_query = "How many noble gases are there?"
# Act
tools = await aget_relevant_information_sources(user_query, {}, False, False)
# 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(chat_client):
# 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 = generate_history(chat_log)
# Act
tools = await aget_relevant_information_sources(user_query, chat_history, False, False)
# Assert
tools = [tool.value for tool in tools]
assert tools == ["online"]
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