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237123d18c
- Use latest davinci model for tests - Wrap prompt in triple quotes to improve legibilty - `understand' method returns dictionary instead of string. Fix its test - Fix prompt for new model to pass `chat_with_history' test
69 lines
6.3 KiB
Python
69 lines
6.3 KiB
Python
# External Packages
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import pytest
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# Internal Packages
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from src.processor.conversation.gpt import converse, understand, message_to_prompt
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# Initialize variables for tests
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model = 'text-davinci-003'
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api_key = None # Input your OpenAI API key to run the tests below
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# Test
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# ----------------------------------------------------------------------------------------------------
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def test_message_to_understand_prompt():
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# Arrange
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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\")"
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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:"
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# Act
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actual_response = message_to_prompt("When did I last dine at Burger King?", understand_primer, start_sequence="\nA:", restart_sequence="\nQ:")
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# Assert
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assert actual_response == expected_response
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# ----------------------------------------------------------------------------------------------------
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@pytest.mark.skipif(api_key is None,
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reason="Set api_key variable to your OpenAI API key from https://beta.openai.com/account/api-keys")
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def test_minimal_chat_with_gpt():
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# Act
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response = converse("What will happen when the stars go out?", model=model, api_key=api_key)
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# Assert
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assert len(response) > 0
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# ----------------------------------------------------------------------------------------------------
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@pytest.mark.skipif(api_key is None,
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reason="Set api_key variable to your OpenAI API key from https://beta.openai.com/account/api-keys")
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def test_chat_with_history():
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# Arrange
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ai_prompt="AI:"
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human_prompt="Human:"
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conversation_primer = f'''
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The following is a conversation with an AI assistant. The assistant is helpful, creative, clever, and very friendly companion.
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{human_prompt} Hello, I am Testatron. Who are you?
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{ai_prompt} Hi, I am Khoj, an AI conversational companion created by OpenAI. How can I help you today?'''
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# Act
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response = converse("Hi Khoj, What is my name?", model=model, conversation_history=conversation_primer, api_key=api_key, temperature=0, max_tokens=50)
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# Assert
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assert len(response) > 0
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assert "Testatron" in response or "testatron" in response
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# ----------------------------------------------------------------------------------------------------
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@pytest.mark.skipif(api_key is None,
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reason="Set api_key variable to your OpenAI API key from https://beta.openai.com/account/api-keys")
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def test_understand_message_using_gpt():
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# Act
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response = understand("When did I last dine at Subway?", model=model, api_key=api_key)
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# Assert
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assert len(response) > 0
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assert response['intent']['memory-type'] == 'ledger'
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