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Test Chat Director Capabilities: Answer from notes, chat history etc
- Chat directors are broad agents.
- Chat directors orchestrate narrow actor agents to synthesize
final response for the user
- Agents are Prompts + ML Model
- Test Chat Director Capabilities
1. [X] Answer from retrieved notes
2. [X] Answer from chat history
3. [X] Answer general questions
4. [X] Carry out multi-turn conversation
5. [X] Say don't know when answer not in provided context
6. [X] Answers that require current date awareness
This test is expected to fail as the chat is not capable of doing
this without the Search actor. But the test allows assessing chat quality
7. [X] Date-aware aggregation across multiple different notes
This test is expected to fail as the chat is not capable of doing
this without the Search actor. But the test allows assessing chat quality
8. [X] Ask clarification questions if no unambiguous answer in provided context
9. [X] Retrieve answer from chat history beyond lookback window
This test is expected to fail as the chat director is not capable
of searching chat history yet. But the test allows assessing chat quality
10. [X] Retrieve context for answer using multiple independent
searches on knowledge base
This test is expected to fail as the chat is not capable of doing
this without the Search actor. But the test allows assessing chat quality
This commit is contained in:
Debanjum Singh Solanky
parent
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commit
1b4d562700
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@ -71,6 +71,7 @@ dev = [
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"mypy >= 1.0.1",
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"black >= 23.1.0",
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"pre-commit >= 3.0.4",
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"freezegun >= 1.2.0",
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]
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[tool.hatch.version]
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318
tests/test_chat_director.py
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318
tests/test_chat_director.py
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@ -0,0 +1,318 @@
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# Standard Packages
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import os
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# External Packages
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import pytest
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from freezegun import freeze_time
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# Internal Packages
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from khoj.processor.conversation.utils import message_to_log
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from khoj.utils import state
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# Initialize variables for tests
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api_key = os.getenv("OPENAI_API_KEY") # Set your OPENAI_API_KEY as environment variable to run the tests below
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# Helpers
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# ----------------------------------------------------------------------------------------------------
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def populate_chat_history(message_list):
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# Generate conversation logs
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conversation_log = {"chat": []}
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for user_message, gpt_message, context in message_list:
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conversation_log["chat"] += message_to_log(user_message, gpt_message, {"context": context})
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# Update Conversation Metadata Logs in Application State
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state.processor_config.conversation.meta_log = conversation_log
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# Tests
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# ----------------------------------------------------------------------------------------------------
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@pytest.mark.chatquality
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@pytest.mark.skipif(
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api_key is None,
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reason="Set api_key variable to your OpenAI API key from https://platform.openai.com/account/api-keys",
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)
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def test_chat_with_no_chat_history_or_retrieved_content(chat_client):
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# Act
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response = chat_client.get(f'/api/chat?q="Hello, my name is Testatron. Who are you?"')
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response_message = response.json()["response"]
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# Assert
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expected_responses = ["Khoj", "khoj"]
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assert response.status_code == 200
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assert any([expected_response in response_message for expected_response in expected_responses]), (
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"Expected assistants name, [K|k]hoj, in response but got" + response_message
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)
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# ----------------------------------------------------------------------------------------------------
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@pytest.mark.chatquality
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@pytest.mark.skipif(
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api_key is None,
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reason="Set api_key variable to your OpenAI API key from https://platform.openai.com/account/api-keys",
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)
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def test_answer_from_chat_history(chat_client):
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# Arrange
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message_list = [
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("Hello, my name is Testatron. Who are you?", "Hi, I am Khoj, a personal assistant. How can I help?", ""),
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("When was I born?", "You were born on 1st April 1984.", ""),
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]
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populate_chat_history(message_list)
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# Act
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response = chat_client.get(f'/api/chat?q="What is my name?"')
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response_message = response.json()["response"]
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# Assert
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expected_responses = ["Testatron", "testatron"]
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assert response.status_code == 200
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assert any([expected_response in response_message for expected_response in expected_responses]), (
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"Expected [T|t]estatron in response but got" + response_message
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)
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# ----------------------------------------------------------------------------------------------------
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@pytest.mark.chatquality
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@pytest.mark.skipif(
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api_key is None,
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reason="Set api_key variable to your OpenAI API key from https://platform.openai.com/account/api-keys",
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)
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def test_answer_from_currently_retrieved_content(chat_client):
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# Arrange
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message_list = [
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("Hello, my name is Testatron. Who are you?", "Hi, I am Khoj, a personal assistant. How can I help?", ""),
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("When was I born?", "You were born on 1st April 1984.", "Testatron was born on 1st April 1984 in Testville."),
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]
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populate_chat_history(message_list)
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# Act
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response = chat_client.get(f'/api/chat?q="Where was Xi Li born?"')
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response_message = response.json()["response"]
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# Assert
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assert response.status_code == 200
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assert "Fujiang" in response_message
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# ----------------------------------------------------------------------------------------------------
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@pytest.mark.chatquality
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@pytest.mark.skipif(
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api_key is None,
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reason="Set api_key variable to your OpenAI API key from https://platform.openai.com/account/api-keys",
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)
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def test_answer_from_chat_history_and_previously_retrieved_content(chat_client):
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# Arrange
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message_list = [
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("Hello, my name is Testatron. Who are you?", "Hi, I am Khoj, a personal assistant. How can I help?", ""),
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("When was I born?", "You were born on 1st April 1984.", "Testatron was born on 1st April 1984 in Testville."),
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]
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populate_chat_history(message_list)
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# Act
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response = chat_client.get(f'/api/chat?q="Where was I born?"')
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response_message = response.json()["response"]
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# Assert
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assert response.status_code == 200
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# 1. Infer who I am from chat history
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# 2. Infer I was born in Testville from previously retrieved notes
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assert "Testville" in response_message
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# ----------------------------------------------------------------------------------------------------
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@pytest.mark.xfail(AssertionError, reason="Chat director not capable of answering this question yet")
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@pytest.mark.chatquality
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@pytest.mark.skipif(
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api_key is None,
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reason="Set api_key variable to your OpenAI API key from https://platform.openai.com/account/api-keys",
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)
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def test_answer_from_chat_history_and_currently_retrieved_content(chat_client):
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# Arrange
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message_list = [
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("Hello, my name is Xi Li. Who are you?", "Hi, I am Khoj, a personal assistant. How can I help?", ""),
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("When was I born?", "You were born on 1st April 1984.", ""),
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]
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populate_chat_history(message_list)
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# Act
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response = chat_client.get(f'/api/chat?q="Where was I born?"')
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response_message = response.json()["response"]
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# Assert
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assert response.status_code == 200
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# Inference in a multi-turn conversation
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# 1. Infer who I am from chat history
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# 2. Search for notes about when <my_name_from_chat_history> was born
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# 3. Extract where I was born from currently retrieved notes
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assert "Fujiang" in response_message
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# ----------------------------------------------------------------------------------------------------
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@pytest.mark.chatquality
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@pytest.mark.skipif(
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api_key is None,
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reason="Set api_key variable to your OpenAI API key from https://platform.openai.com/account/api-keys",
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)
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def test_no_answer_in_chat_history_or_retrieved_content(chat_client):
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"Chat director should say don't know as not enough contexts in chat history or retrieved to answer question"
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# Arrange
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message_list = [
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("Hello, my name is Testatron. Who are you?", "Hi, I am Khoj, a personal assistant. How can I help?", ""),
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("When was I born?", "You were born on 1st April 1984.", ""),
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]
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populate_chat_history(message_list)
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# Act
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response = chat_client.get(f'/api/chat?q="Where was I born?"')
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response_message = response.json()["response"]
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# Assert
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expected_responses = ["don't know", "do not know", "no information", "do not have", "don't have"]
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assert response.status_code == 200
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assert any([expected_response in response_message for expected_response in expected_responses]), (
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"Expected chat director to say they don't know in response, but got: " + response
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)
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# ----------------------------------------------------------------------------------------------------
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@pytest.mark.xfail(AssertionError, reason="Chat director not capable of answering time aware questions yet")
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@pytest.mark.chatquality
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@pytest.mark.skipif(
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api_key is None,
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reason="Set api_key variable to your OpenAI API key from https://platform.openai.com/account/api-keys",
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)
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@freeze_time("2023-04-01")
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def test_answer_requires_current_date_awareness(chat_client):
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"Chat actor should be able to answer questions relative to current date using provided notes"
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# Act
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response = chat_client.get(f'/api/chat?q="Where did I have lunch today?"')
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response_message = response.json()["response"]
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# Assert
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expected_responses = ["Arak", "Medellin"]
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assert response.status_code == 200
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assert any([expected_response in response_message for expected_response in expected_responses]), (
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"Expected chat director to say Arak, Medellin, but got: " + response_message
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)
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# ----------------------------------------------------------------------------------------------------
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@pytest.mark.xfail(AssertionError, reason="Chat director not capable of answering time aware questions yet")
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@pytest.mark.chatquality
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@pytest.mark.skipif(
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api_key is None,
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reason="Set api_key variable to your OpenAI API key from https://platform.openai.com/account/api-keys",
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)
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@freeze_time("2023-04-01")
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def test_answer_requires_date_aware_aggregation_across_provided_notes(chat_client):
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"Chat director should be able to answer questions that require date aware aggregation across multiple notes"
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# Act
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response = chat_client.get(f'/api/chat?q="How much did I spend on dining this year?"')
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response_message = response.json()["response"]
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# Assert
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assert response.status_code == 200
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assert "23" in response_message
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# ----------------------------------------------------------------------------------------------------
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@pytest.mark.chatquality
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@pytest.mark.skipif(
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api_key is None,
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reason="Set api_key variable to your OpenAI API key from https://platform.openai.com/account/api-keys",
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)
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def test_answer_general_question_not_in_chat_history_or_retrieved_content(chat_client):
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# Arrange
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message_list = [
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("Hello, my name is Testatron. Who are you?", "Hi, I am Khoj, a personal assistant. How can I help?", ""),
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("When was I born?", "You were born on 1st April 1984.", ""),
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("Where was I born?", "You were born Testville.", ""),
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]
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populate_chat_history(message_list)
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# Act
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response = chat_client.get(f'/api/chat?q=""Write a haiku about unit testing"')
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response_message = response.json()["response"]
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# Assert
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expected_responses = ["test", "Test"]
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assert response.status_code == 200
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assert len(response_message.splitlines()) == 3 # haikus are 3 lines long
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assert any([expected_response in response_message for expected_response in expected_responses]), (
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"Expected [T|t]est in response, but got: " + response_message
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)
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# ----------------------------------------------------------------------------------------------------
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@pytest.mark.xfail(reason="Chat director not consistently capable of asking for clarification yet.")
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@pytest.mark.chatquality
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@pytest.mark.skipif(
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api_key is None,
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reason="Set api_key variable to your OpenAI API key from https://platform.openai.com/account/api-keys",
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)
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def test_ask_for_clarification_if_not_enough_context_in_question(chat_client):
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# Act
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response = chat_client.get(f'/api/chat?q="What is the name of Namitas older son"')
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response_message = response.json()["response"]
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# Assert
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expected_responses = [
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"which of them is the older",
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"which one is older",
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"which of them is older",
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"which one is the older",
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]
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assert response.status_code == 200
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assert any([expected_response in response_message.lower() for expected_response in expected_responses]), (
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"Expected chat director to ask for clarification in response, but got: " + response_message
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)
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# ----------------------------------------------------------------------------------------------------
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@pytest.mark.xfail(reason="Chat director not capable of answering this question yet")
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@pytest.mark.chatquality
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@pytest.mark.skipif(
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api_key is None,
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reason="Set api_key variable to your OpenAI API key from https://platform.openai.com/account/api-keys",
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)
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def test_answer_in_chat_history_beyond_lookback_window(chat_client):
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# Arrange
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message_list = [
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("Hello, my name is Testatron. Who are you?", "Hi, I am Khoj, a personal assistant. How can I help?", ""),
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("When was I born?", "You were born on 1st April 1984.", ""),
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("Where was I born?", "You were born Testville.", ""),
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]
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populate_chat_history(message_list)
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# Act
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response = chat_client.get(f'/api/chat?q="What is my name?"')
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response_message = response.json()["response"]
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# Assert
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expected_responses = ["Testatron", "testatron"]
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assert response.status_code == 200
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assert any([expected_response in response_message.lower() for expected_response in expected_responses]), (
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"Expected [T|t]estatron in response, but got: " + response_message
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)
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# ----------------------------------------------------------------------------------------------------
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@pytest.mark.xfail(reason="Chat director not capable of answering this question yet")
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@pytest.mark.chatquality
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@pytest.mark.skipif(
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api_key is None,
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reason="Set api_key variable to your OpenAI API key from https://platform.openai.com/account/api-keys",
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)
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def test_answer_requires_multiple_independent_searches(chat_client):
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"Chat director should be able to answer by doing multiple independent searches for required information"
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# Act
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response = chat_client.get(f'/api/chat?q="Is Xi older than Namita?"')
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response_message = response.json()["response"]
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# Assert
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expected_responses = ["he is older than namita", "xi is older than namita"]
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assert response.status_code == 200
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assert any([expected_response in response_message.lower() for expected_response in expected_responses]), (
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"Expected Xi is older than Namita, but got: " + response_message
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)
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