mirror of
https://github.com/khoj-ai/khoj.git
synced 2024-11-23 23:48:56 +01:00
d4e5c95711
* Uses entire file text and summarizer model to generate document summary. * Uses the contents of the user's query to create a tailored summary. * Integrates with File Filters #788 for a better UX.
794 lines
32 KiB
Python
794 lines
32 KiB
Python
import os
|
|
import urllib.parse
|
|
from urllib.parse import quote
|
|
|
|
import pytest
|
|
from faker import Faker
|
|
from freezegun import freeze_time
|
|
|
|
from khoj.database.models import Agent, Entry, KhojUser
|
|
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="Disable in CI to avoid long test runs.",
|
|
)
|
|
|
|
fake = Faker()
|
|
|
|
|
|
# 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.xfail(AssertionError, reason="Chat director not capable of answering this question yet")
|
|
@pytest.mark.chatquality
|
|
@pytest.mark.django_db(transaction=True)
|
|
def test_offline_chat_with_no_chat_history_or_retrieved_content(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.skipif(os.getenv("SERPER_DEV_API_KEY") is None, reason="requires SERPER_DEV_API_KEY")
|
|
@pytest.mark.chatquality
|
|
@pytest.mark.django_db(transaction=True)
|
|
def test_chat_with_online_content(client_offline_chat):
|
|
# 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")
|
|
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
|
|
)
|
|
|
|
|
|
# ----------------------------------------------------------------------------------------------------
|
|
@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.", []),
|
|
]
|
|
create_conversation(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."],
|
|
),
|
|
]
|
|
create_conversation(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."],
|
|
),
|
|
]
|
|
create_conversation(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.", []),
|
|
]
|
|
create_conversation(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.", []),
|
|
]
|
|
create_conversation(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 = []
|
|
create_conversation(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 = []
|
|
create_conversation(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 = []
|
|
create_conversation(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 = []
|
|
create_conversation(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.django_db(transaction=True)
|
|
@pytest.mark.chatquality
|
|
def test_summarize_one_file(client_offline_chat, 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 = client_offline_chat.post(
|
|
"api/chat/conversation/file-filters",
|
|
json={"filename": summarization_file, "conversation_id": str(conversation.id)},
|
|
)
|
|
query = urllib.parse.quote("/summarize")
|
|
response = client_offline_chat.get(f"/api/chat?q={query}&conversation_id={conversation.id}&stream=true")
|
|
response_message = response.content.decode("utf-8")
|
|
# Assert
|
|
assert response_message != ""
|
|
assert response_message != "No files selected for summarization. Please add files using the section on the left."
|
|
assert response_message != "Only one file can be selected for summarization."
|
|
|
|
|
|
@pytest.mark.django_db(transaction=True)
|
|
@pytest.mark.chatquality
|
|
def test_summarize_extra_text(client_offline_chat, 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 = client_offline_chat.post(
|
|
"api/chat/conversation/file-filters",
|
|
json={"filename": summarization_file, "conversation_id": str(conversation.id)},
|
|
)
|
|
query = urllib.parse.quote("/summarize tell me about Xiu")
|
|
response = client_offline_chat.get(f"/api/chat?q={query}&conversation_id={conversation.id}&stream=true")
|
|
response_message = response.content.decode("utf-8")
|
|
# Assert
|
|
assert response_message != ""
|
|
assert response_message != "No files selected for summarization. Please add files using the section on the left."
|
|
assert response_message != "Only one file can be selected for summarization."
|
|
|
|
|
|
@pytest.mark.django_db(transaction=True)
|
|
@pytest.mark.chatquality
|
|
def test_summarize_multiple_files(client_offline_chat, 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 = client_offline_chat.post(
|
|
"api/chat/conversation/file-filters", json={"filename": file_list[0], "conversation_id": str(conversation.id)}
|
|
)
|
|
response = client_offline_chat.post(
|
|
"api/chat/conversation/file-filters", json={"filename": file_list[1], "conversation_id": str(conversation.id)}
|
|
)
|
|
|
|
query = urllib.parse.quote("/summarize")
|
|
response = client_offline_chat.get(f"/api/chat?q={query}&conversation_id={conversation.id}&stream=true")
|
|
response_message = response.content.decode("utf-8")
|
|
|
|
# Assert
|
|
assert response_message == "Only one file can be selected for summarization."
|
|
|
|
|
|
@pytest.mark.django_db(transaction=True)
|
|
@pytest.mark.chatquality
|
|
def test_summarize_no_files(client_offline_chat, default_user2: KhojUser):
|
|
message_list = []
|
|
conversation = create_conversation(message_list, default_user2)
|
|
query = urllib.parse.quote("/summarize")
|
|
response = client_offline_chat.get(f"/api/chat?q={query}&conversation_id={conversation.id}&stream=true")
|
|
response_message = response.content.decode("utf-8")
|
|
# 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(client_offline_chat, default_user2: KhojUser):
|
|
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 = client_offline_chat.post(
|
|
"api/chat/conversation/file-filters",
|
|
json={"filename": summarization_file, "conversation_id": str(conversation1.id)},
|
|
)
|
|
|
|
query = urllib.parse.quote("/summarize")
|
|
response = client_offline_chat.get(f"/api/chat?q={query}&conversation_id={conversation2.id}&stream=true")
|
|
response_message = response.content.decode("utf-8")
|
|
|
|
# Assert
|
|
assert response_message == "No files selected for summarization. Please add files using the section on the left."
|
|
|
|
# now make sure that the file filter is still in conversation 1
|
|
response = client_offline_chat.get(f"/api/chat?q={query}&conversation_id={conversation1.id}&stream=true")
|
|
response_message = response.content.decode("utf-8")
|
|
|
|
# Assert
|
|
assert response_message != ""
|
|
assert response_message != "No files selected for summarization. Please add files using the section on the left."
|
|
assert response_message != "Only one file can be selected for summarization."
|
|
|
|
|
|
@pytest.mark.django_db(transaction=True)
|
|
@pytest.mark.chatquality
|
|
def test_summarize_nonexistant_file(client_offline_chat, default_user2: KhojUser):
|
|
message_list = []
|
|
conversation = create_conversation(message_list, default_user2)
|
|
# post "imaginary.markdown" file to the file filters
|
|
response = client_offline_chat.post(
|
|
"api/chat/conversation/file-filters",
|
|
json={"filename": "imaginary.markdown", "conversation_id": str(conversation.id)},
|
|
)
|
|
query = urllib.parse.quote("/summarize")
|
|
response = client_offline_chat.get(f"/api/chat?q={query}&conversation_id={conversation.id}&stream=true")
|
|
response_message = response.content.decode("utf-8")
|
|
# 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(
|
|
client_offline_chat, default_user: KhojUser, pdf_configured_user1, default_user2: KhojUser
|
|
):
|
|
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 = client_offline_chat.post(
|
|
"api/chat/conversation/file-filters",
|
|
json={"filename": summarization_file, "conversation_id": str(conversation.id)},
|
|
)
|
|
query = urllib.parse.quote("/summarize")
|
|
response = client_offline_chat.get(f"/api/chat?q={query}&conversation_id={conversation.id}&stream=true")
|
|
response_message = response.content.decode("utf-8")
|
|
# Assert
|
|
assert response_message == "No files selected for summarization. Please add files using the section on the left."
|
|
|
|
|
|
# ----------------------------------------------------------------------------------------------------
|
|
@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 "26" 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.", []),
|
|
]
|
|
create_conversation(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: 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
|
|
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_in_chat_history_by_conversation_id(client_offline_chat, 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
|
|
response = client_offline_chat.get(
|
|
f'/api/chat?q="What is my favorite color?"&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.xfail(reason="Chat director not great at adhering to agent instructions yet")
|
|
@pytest.mark.chatquality
|
|
@pytest.mark.django_db(transaction=True)
|
|
def test_answer_in_chat_history_by_conversation_id_with_agent(
|
|
client_offline_chat, default_user2: KhojUser, offline_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", []),
|
|
]
|
|
conversation = create_conversation(message_list, default_user2, offline_agent)
|
|
|
|
# Act
|
|
query = urllib.parse.quote("/general What did I eat for breakfast?")
|
|
response = client_offline_chat.get(f"/api/chat?q={query}&conversation_id={conversation.id}&stream=true")
|
|
response_message = response.content.decode("utf-8")
|
|
|
|
# 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 green 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
|
|
message_list = [(" ".join([fake.paragraph() for _ in range(50)]), fake.sentence(), []) for _ in range(10)]
|
|
|
|
create_conversation(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, {}, is_task=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(client_offline_chat):
|
|
# Arrange
|
|
user_query = "Where did I go for my first battleship training?"
|
|
|
|
# Act
|
|
tools = await aget_relevant_information_sources(user_query, {}, is_task=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(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, {}, is_task=False)
|
|
|
|
# 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, {}, is_task=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(client_offline_chat, default_user2):
|
|
# 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 = create_conversation(chat_log, default_user2)
|
|
|
|
# Act
|
|
tools = await aget_relevant_information_sources(user_query, chat_history, is_task=False)
|
|
|
|
# Assert
|
|
tools = [tool.value for tool in tools]
|
|
assert tools == ["online"]
|