mirror of
https://github.com/khoj-ai/khoj.git
synced 2024-11-23 23:48:56 +01:00
d4e1120b22
- Allow conversing with user using GPT's contextually aware, generative capability - Extract metadata, user intent from user's messages using GPT's general understanding
63 lines
6.2 KiB
Python
63 lines
6.2 KiB
Python
# External Packages
|
|
import pytest
|
|
|
|
# Internal Packages
|
|
from src.processor.conversation.gpt import converse, understand, message_to_prompt
|
|
|
|
# Input your OpenAI API key to run the tests below
|
|
api_key = None
|
|
|
|
|
|
# Test
|
|
# ----------------------------------------------------------------------------------------------------
|
|
def test_message_to_understand_prompt():
|
|
# Setup
|
|
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?", 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():
|
|
# Act
|
|
start_sequence="\nAI:"
|
|
restart_sequence="\nHuman:"
|
|
|
|
conversation_primer = f"The following is a conversation with an AI assistant. The assistant is helpful, creative, clever, and very friendly companion.\n{restart_sequence} Hello, I am testatron. Who are you?{start_sequence} Hi, I am an AI conversational companion created by OpenAI. How can I help you today?"
|
|
conversation_history = conversation_primer
|
|
|
|
response = converse("Can you tell me my name?", conversation_history=conversation_history, 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?", api_key=api_key)
|
|
|
|
# Assert
|
|
assert len(response) > 0
|
|
assert "remember(\"ledger\", " in response
|