# External Packages
import pytest

# Internal Packages
from khoj.processor.conversation.gpt import converse, understand, 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("What will happen when the stars go out?", model=model, api_key=api_key)

    # Assert
    assert len(response) > 0


# ----------------------------------------------------------------------------------------------------
@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_chat_with_history():
    # Arrange
    ai_prompt = "AI:"
    human_prompt = "Human:"

    conversation_primer = f"""
The following is a conversation with an AI assistant. The assistant is helpful, creative, clever, and very friendly companion.

{human_prompt} Hello, I am Testatron. Who are you?
{ai_prompt} Hi, I am Khoj, an AI conversational companion created by OpenAI. How can I help you today?"""

    # Act
    response = converse(
        "Hi Khoj, What is my name?",
        model=model,
        conversation_history=conversation_primer,
        api_key=api_key,
        temperature=0,
        max_tokens=50,
    )

    # Assert
    assert len(response) > 0
    assert "Testatron" in response or "testatron" in 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_understand_message_using_gpt():
    # Act
    response = understand("When did I last dine at Subway?", model=model, api_key=api_key)

    # Assert
    assert len(response) > 0
    assert response["intent"]["memory-type"] == "ledger"