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import datetime
from unittest.mock import patch
from streamlit.testing.v1 import AppTest
from openai.types.chat import ChatCompletionMessage
from openai.types.chat.chat_completion import ChatCompletion, Choice
# See https://github.com/openai/openai-python/issues/715#issuecomment-1809203346
def create_chat_completion(response: str, role: str = "assistant") -> ChatCompletion:
return ChatCompletion(
id="foo",
model="gpt-3.5-turbo",
object="chat.completion",
choices=[
Choice(
finish_reason="stop",
index=0,
message=ChatCompletionMessage(
content=response,
role=role,
),
)
],
created=int(datetime.datetime.now().timestamp()),
)
@patch("openai.resources.chat.Completions.create")
def test_Chatbot(openai_create):
at = AppTest.from_file("Chatbot.py").run()
assert not at.exception
at.chat_input[0].set_value("Do you know any jokes?").run()
assert at.info[0].value == "Please add your OpenAI API key to continue."
JOKE = "Why did the chicken cross the road? To get to the other side."
openai_create.return_value = create_chat_completion(JOKE)
at.text_input(key="chatbot_api_key").set_value("sk-...")
at.chat_input[0].set_value("Do you know any jokes?").run()
print(at)
assert at.chat_message[1].markdown[0].value == "Do you know any jokes?"
assert at.chat_message[2].markdown[0].value == JOKE
assert at.chat_message[2].avatar == "assistant"
assert not at.exception
@patch("langchain.llms.OpenAI.__call__")
def test_Langchain_Quickstart(langchain_llm):
at = AppTest.from_file("pages/3_Langchain_Quickstart.py").run()
assert at.info[0].value == "Please add your OpenAI API key to continue."
RESPONSE = "1. The best way to learn how to code is by practicing..."
langchain_llm.return_value = RESPONSE
at.sidebar.text_input[0].set_value("sk-...")
at.button[0].set_value(True).run()
print(at)
assert at.info[0].value == RESPONSE
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