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khoj/tests/test_online_chat_director.py

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import os
import urllib.parse
import pytest
from freezegun import freeze_time
from khoj.database.models import Agent, Entry, KhojUser
from khoj.processor.conversation import prompts
from tests.helpers import ConversationFactory, generate_chat_history, get_chat_api_key
# Initialize variables for tests
api_key = get_chat_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 create_conversation(message_list, user, agent=None):
Miscellaneous bugs and fixes for chat sessions (#646) * Display given_name field only if it is not None * Add default slugs in the migration script * Ensure that updated_at is saved appropriately, make sure most recent chat is returned for default history * Remove the bin button from the chat interface, given deletion is handled in the drop-down menus * Refresh the side panel when a new chat is created * Improveme tool retrieval prompt, don't let /online fail, and improve parsing of extract questions * Fix ending chat response by offline chat on hitting a stop phrase Previously the whole phrase wouldn't be in the same response chunk, so chat response wouldn't stop on hitting a stop phrase Now use a queue to keep track of last 3 chunks, and to stop responding when hit a stop phrase * Make chat on Obsidian backward compatible post chat session API updates - Make chat on Obsidian get chat history from `responseJson.response.chat' when available (i.e when using new api) - Else fallback to loading chat history from responseJson.response (i.e when using old api) * Fix detecting success of indexing update in khoj.el When khoj.el attempts to index on a Khoj server served behind an https endpoint, the success reponse status contains plist with certs. This doesn't mean the update failed. Look for :errors key in status instead to determine if indexing API call failed. This fixes detecting indexing API call success on the Khoj Emacs client, even for Khoj servers running behind SSL/HTTPS * Fix the mechanism for populating notes references in the conversation primer for both offline and online chat * Return conversation.default when empty list for dynamic prompt selection, send all cmds in telemetry * Fix making chat on Obsidian backward compatible post chat session API updates New API always has conversation_id set, not `chat' which can be unset when chat session is empty. So use conversation_id to decide whether to get chat logs from `responseJson.response.chat' or `responseJson.response' instead --------- Co-authored-by: Debanjum Singh Solanky <debanjum@gmail.com>
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# Generate conversation logs
conversation_log = generate_chat_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
)
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# ----------------------------------------------------------------------------------------------------
@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"]
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# Assert
expected_responses = [
"paulgraham.com/greatwork.html",
"paulgraham.com/hwh.html",
]
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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}"
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# ----------------------------------------------------------------------------------------------------
@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"
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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"
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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"
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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"
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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"
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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
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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")
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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"
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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": str(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": str(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
)