# External Packages
import pytest

# Internal Packages
from khoj.processor.conversation.gpt import converse, message_to_log, message_to_prompt


# Initialize variables for tests
model = "text-davinci-003"
api_key = None  # Input your OpenAI API key to run the tests below


# Test
# ----------------------------------------------------------------------------------------------------
def test_message_to_understand_prompt():
    # Arrange
    understand_primer = 'Extract information from each chat message\n\nremember(memory-type, data);\nmemory-type=["companion", "notes", "ledger", "image", "music"]\nsearch(search-type, data);\nsearch-type=["google", "youtube"]\ngenerate(activity);\nactivity=["paint","write", "chat"]\ntrigger-emotion(emotion);\nemotion=["happy","confidence","fear","surprise","sadness","disgust","anger", "curiosity", "calm"]\n\nQ: How are you doing?\nA: activity("chat"); trigger-emotion("surprise")\nQ: Do you remember what I told you about my brother Antoine when we were at the beach?\nA: remember("notes", "Brother Antoine when we were at the beach"); trigger-emotion("curiosity");\nQ: what did we talk about last time?\nA: remember("notes", "talk last time"); trigger-emotion("curiosity");\nQ: Let\'s make some drawings!\nA: generate("paint"); trigger-emotion("happy");\nQ: Do you know anything about Lebanon?\nA: search("google", "lebanon");  trigger-emotion("confidence");\nQ: Find a video about a panda rolling in the grass\nA: search("youtube","panda rolling in the grass");  trigger-emotion("happy"); \nQ: Tell me a scary story\nA: generate("write" "A story about some adventure"); trigger-emotion("fear");\nQ: What fiction book was I reading last week about AI starship?\nA: remember("notes", "read fiction book about AI starship last week"); trigger-emotion("curiosity");\nQ: How much did I spend at Subway for dinner last time?\nA: remember("ledger", "last Subway dinner"); trigger-emotion("curiosity");\nQ: I\'m feeling sleepy\nA: activity("chat"); trigger-emotion("calm")\nQ: What was that popular Sri lankan song that Alex showed me recently?\nA: remember("music", "popular Sri lankan song that Alex showed recently");  trigger-emotion("curiosity"); \nQ: You\'re pretty funny!\nA: activity("chat"); trigger-emotion("pride")'
    expected_response = 'Extract information from each chat message\n\nremember(memory-type, data);\nmemory-type=["companion", "notes", "ledger", "image", "music"]\nsearch(search-type, data);\nsearch-type=["google", "youtube"]\ngenerate(activity);\nactivity=["paint","write", "chat"]\ntrigger-emotion(emotion);\nemotion=["happy","confidence","fear","surprise","sadness","disgust","anger", "curiosity", "calm"]\n\nQ: How are you doing?\nA: activity("chat"); trigger-emotion("surprise")\nQ: Do you remember what I told you about my brother Antoine when we were at the beach?\nA: remember("notes", "Brother Antoine when we were at the beach"); trigger-emotion("curiosity");\nQ: what did we talk about last time?\nA: remember("notes", "talk last time"); trigger-emotion("curiosity");\nQ: Let\'s make some drawings!\nA: generate("paint"); trigger-emotion("happy");\nQ: Do you know anything about Lebanon?\nA: search("google", "lebanon");  trigger-emotion("confidence");\nQ: Find a video about a panda rolling in the grass\nA: search("youtube","panda rolling in the grass");  trigger-emotion("happy"); \nQ: Tell me a scary story\nA: generate("write" "A story about some adventure"); trigger-emotion("fear");\nQ: What fiction book was I reading last week about AI starship?\nA: remember("notes", "read fiction book about AI starship last week"); trigger-emotion("curiosity");\nQ: How much did I spend at Subway for dinner last time?\nA: remember("ledger", "last Subway dinner"); trigger-emotion("curiosity");\nQ: I\'m feeling sleepy\nA: activity("chat"); trigger-emotion("calm")\nQ: What was that popular Sri lankan song that Alex showed me recently?\nA: remember("music", "popular Sri lankan song that Alex showed recently");  trigger-emotion("curiosity"); \nQ: You\'re pretty funny!\nA: activity("chat"); trigger-emotion("pride")\nQ: When did I last dine at Burger King?\nA:'

    # Act
    actual_response = message_to_prompt(
        "When did I last dine at Burger King?", understand_primer, start_sequence="\nA:", restart_sequence="\nQ:"
    )

    # Assert
    assert actual_response == expected_response


# ----------------------------------------------------------------------------------------------------
@pytest.mark.skipif(
    api_key is None, reason="Set api_key variable to your OpenAI API key from https://beta.openai.com/account/api-keys"
)
def test_minimal_chat_with_gpt():
    # Act
    response = converse(
        text="",  # Assume no context retrieved from notes for the user_query
        user_query="Hello, my name is Testatron. Who are you?",
        api_key=api_key,
    )

    # Assert
    expected_responses = ["Khoj", "khoj"]
    assert len(response) > 0
    assert any([expected_response in response for expected_response in expected_responses]), (
        "Expected assistants name, [K|k]hoj, in response but got" + response
    )


# ----------------------------------------------------------------------------------------------------
@pytest.mark.skipif(
    api_key is None, reason="Set api_key variable to your OpenAI API key from https://beta.openai.com/account/api-keys"
)
def test_multi_turn_chat_with_minimal_history_no_context():
    conversation_log = {}
    conversation_log["chat"] = message_to_log(
        user_message="Hello, my name is Testatron. Who are you?",
        gpt_message="Hi, I am Khoj, an AI conversational companion. How can I help you today?",
    )

    # Act
    response = converse(
        text="",  # Assume no context retrieved from notes for the user_query
        user_query="Hi Khoj, what is my name?",
        conversation_log=conversation_log,
        api_key=api_key,
    )

    # Assert
    assert len(response) > 0
    assert "Testatron" in response or "testatron" in response