mirror of
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233 lines
6.7 KiB
Python
233 lines
6.7 KiB
Python
# What this tests ?
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## Tests /chat/completions by generating a key and then making a chat completions request
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import pytest
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import asyncio
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import aiohttp, openai
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from openai import OpenAI
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async def generate_key(session):
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url = "http://0.0.0.0:4000/key/generate"
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headers = {"Authorization": "Bearer sk-1234", "Content-Type": "application/json"}
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data = {
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"models": ["gpt-4", "text-embedding-ada-002", "dall-e-2"],
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"duration": None,
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}
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async with session.post(url, headers=headers, json=data) as response:
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status = response.status
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response_text = await response.text()
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print(response_text)
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print()
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if status != 200:
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raise Exception(f"Request did not return a 200 status code: {status}")
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return await response.json()
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async def new_user(session):
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url = "http://0.0.0.0:4000/user/new"
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headers = {"Authorization": "Bearer sk-1234", "Content-Type": "application/json"}
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data = {
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"models": ["gpt-4", "text-embedding-ada-002", "dall-e-2"],
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"duration": None,
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}
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async with session.post(url, headers=headers, json=data) as response:
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status = response.status
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response_text = await response.text()
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print(response_text)
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print()
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if status != 200:
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raise Exception(f"Request did not return a 200 status code: {status}")
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return await response.json()
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async def chat_completion(session, key):
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url = "http://0.0.0.0:4000/chat/completions"
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headers = {
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"Authorization": f"Bearer {key}",
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"Content-Type": "application/json",
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}
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data = {
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"model": "gpt-4",
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"messages": [
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{"role": "system", "content": "You are a helpful assistant."},
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{"role": "user", "content": "Hello!"},
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],
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}
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async with session.post(url, headers=headers, json=data) as response:
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status = response.status
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response_text = await response.text()
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print(response_text)
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print()
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if status != 200:
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raise Exception(f"Request did not return a 200 status code: {status}")
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return await response.json()
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@pytest.mark.asyncio
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async def test_chat_completion():
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"""
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- Create key
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Make chat completion call
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- Create user
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make chat completion call
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"""
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async with aiohttp.ClientSession() as session:
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key_gen = await generate_key(session=session)
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key = key_gen["key"]
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await chat_completion(session=session, key=key)
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key_gen = await new_user(session=session)
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key_2 = key_gen["key"]
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await chat_completion(session=session, key=key_2)
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@pytest.mark.asyncio
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async def test_chat_completion_old_key():
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"""
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Production test for backwards compatibility. Test db against a pre-generated (old key)
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- Create key
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Make chat completion call
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"""
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async with aiohttp.ClientSession() as session:
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try:
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key = "sk-ecMXHujzUtKCvHcwacdaTw"
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await chat_completion(session=session, key=key)
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except Exception as e:
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key = "sk-ecMXHujzUtKCvHcwacdaTw" # try diff db key (in case db url is for the other db)
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await chat_completion(session=session, key=key)
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async def completion(session, key):
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url = "http://0.0.0.0:4000/completions"
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headers = {
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"Authorization": f"Bearer {key}",
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"Content-Type": "application/json",
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}
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data = {"model": "gpt-4", "prompt": "Hello!"}
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async with session.post(url, headers=headers, json=data) as response:
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status = response.status
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if status != 200:
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raise Exception(f"Request did not return a 200 status code: {status}")
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response = await response.json()
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return response
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@pytest.mark.asyncio
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async def test_completion():
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"""
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- Create key
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Make chat completion call
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- Create user
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make chat completion call
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"""
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async with aiohttp.ClientSession() as session:
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key_gen = await generate_key(session=session)
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key = key_gen["key"]
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await completion(session=session, key=key)
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key_gen = await new_user(session=session)
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key_2 = key_gen["key"]
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# response = await completion(session=session, key=key_2)
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## validate openai format ##
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client = OpenAI(api_key=key_2, base_url="http://0.0.0.0:4000")
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client.completions.create(
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model="gpt-4",
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prompt="Say this is a test",
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max_tokens=7,
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temperature=0,
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)
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async def embeddings(session, key):
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url = "http://0.0.0.0:4000/embeddings"
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headers = {
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"Authorization": f"Bearer {key}",
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"Content-Type": "application/json",
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}
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data = {
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"model": "text-embedding-ada-002",
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"input": ["hello world"],
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}
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async with session.post(url, headers=headers, json=data) as response:
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status = response.status
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response_text = await response.text()
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print(response_text)
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print()
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if status != 200:
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raise Exception(f"Request did not return a 200 status code: {status}")
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@pytest.mark.asyncio
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async def test_embeddings():
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"""
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- Create key
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Make embeddings call
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- Create user
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make embeddings call
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"""
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async with aiohttp.ClientSession() as session:
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key_gen = await generate_key(session=session)
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key = key_gen["key"]
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await embeddings(session=session, key=key)
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key_gen = await new_user(session=session)
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key_2 = key_gen["key"]
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await embeddings(session=session, key=key_2)
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async def image_generation(session, key):
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url = "http://0.0.0.0:4000/images/generations"
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headers = {
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"Authorization": f"Bearer {key}",
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"Content-Type": "application/json",
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}
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data = {
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"model": "dall-e-2",
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"prompt": "A cute baby sea otter",
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}
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async with session.post(url, headers=headers, json=data) as response:
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status = response.status
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response_text = await response.text()
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print(response_text)
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print()
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if status != 200:
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if (
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"Connection error" in response_text
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): # OpenAI endpoint returns a connection error
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return
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raise Exception(f"Request did not return a 200 status code: {status}")
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@pytest.mark.asyncio
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async def test_image_generation():
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"""
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- Create key
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Make embeddings call
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- Create user
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make embeddings call
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"""
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async with aiohttp.ClientSession() as session:
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key_gen = await generate_key(session=session)
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key = key_gen["key"]
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await image_generation(session=session, key=key)
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key_gen = await new_user(session=session)
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key_2 = key_gen["key"]
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await image_generation(session=session, key=key_2)
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