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import pytest
from utils import *
import base64
import requests
server: ServerProcess
def get_img_url(id: str) -> str:
IMG_URL_0 = "https://huggingface.co/ggml-org/tinygemma3-GGUF/resolve/main/test/11_truck.png"
IMG_URL_1 = "https://huggingface.co/ggml-org/tinygemma3-GGUF/resolve/main/test/91_cat.png"
if id == "IMG_URL_0":
return IMG_URL_0
elif id == "IMG_URL_1":
return IMG_URL_1
elif id == "IMG_BASE64_URI_0":
response = requests.get(IMG_URL_0)
response.raise_for_status() # Raise an exception for bad status codes
return "data:image/png;base64," + base64.b64encode(response.content).decode("utf-8")
elif id == "IMG_BASE64_0":
response = requests.get(IMG_URL_0)
response.raise_for_status() # Raise an exception for bad status codes
return base64.b64encode(response.content).decode("utf-8")
elif id == "IMG_BASE64_URI_1":
response = requests.get(IMG_URL_1)
response.raise_for_status() # Raise an exception for bad status codes
return "data:image/png;base64," + base64.b64encode(response.content).decode("utf-8")
elif id == "IMG_BASE64_1":
response = requests.get(IMG_URL_1)
response.raise_for_status() # Raise an exception for bad status codes
return base64.b64encode(response.content).decode("utf-8")
else:
return id
JSON_MULTIMODAL_KEY = "multimodal_data"
JSON_PROMPT_STRING_KEY = "prompt_string"
@pytest.fixture(autouse=True)
def create_server():
global server
server = ServerPreset.tinygemma3()
def test_models_supports_multimodal_capability():
global server
server.start()
res = server.make_request("GET", "/models", data={})
assert res.status_code == 200
model_info = res.body["models"][0]
print(model_info)
assert "completion" in model_info["capabilities"]
assert "multimodal" in model_info["capabilities"]
def test_v1_models_supports_multimodal_capability():
global server
server.start()
res = server.make_request("GET", "/v1/models", data={})
assert res.status_code == 200
model_info = res.body["models"][0]
print(model_info)
assert "completion" in model_info["capabilities"]
assert "multimodal" in model_info["capabilities"]
@pytest.mark.parametrize(
"prompt, image_url, success, re_content",
[
# test model is trained on CIFAR-10, but it's quite dumb due to small size
("What is this:\n", "IMG_URL_0", True, "(cat)+"),
("What is this:\n", "IMG_BASE64_URI_0", True, "(cat)+"),
("What is this:\n", "IMG_URL_1", True, "(frog)+"),
("Test test\n", "IMG_URL_1", True, "(frog)+"), # test invalidate cache
("What is this:\n", "malformed", False, None),
("What is this:\n", "https://google.com/404", False, None), # non-existent image
("What is this:\n", "https://ggml.ai", False, None), # non-image data
# TODO @ngxson : test with multiple images, no images and with audio
]
)
def test_vision_chat_completion(prompt, image_url, success, re_content):
global server
server.start()
res = server.make_request("POST", "/chat/completions", data={
"temperature": 0.0,
"top_k": 1,
"messages": [
{"role": "user", "content": [
{"type": "text", "text": prompt},
{"type": "image_url", "image_url": {
"url": get_img_url(image_url),
}},
]},
],
})
if success:
assert res.status_code == 200
choice = res.body["choices"][0]
assert "assistant" == choice["message"]["role"]
assert match_regex(re_content, choice["message"]["content"])
else:
assert res.status_code != 200
@pytest.mark.parametrize(
"prompt, image_data, success, re_content",
[
# test model is trained on CIFAR-10, but it's quite dumb due to small size
("What is this: <__media__>\n", "IMG_BASE64_0", True, "(cat)+"),
("What is this: <__media__>\n", "IMG_BASE64_1", True, "(frog)+"),
("What is this: <__media__>\n", "malformed", False, None), # non-image data
("What is this:\n", "", False, None), # empty string
]
)
def test_vision_completion(prompt, image_data, success, re_content):
global server
server.start()
res = server.make_request("POST", "/completions", data={
"temperature": 0.0,
"top_k": 1,
"prompt": {
JSON_PROMPT_STRING_KEY: prompt,
JSON_MULTIMODAL_KEY: [ get_img_url(image_data) ],
},
})
if success:
assert res.status_code == 200
content = res.body["content"]
assert match_regex(re_content, content)
else:
assert res.status_code != 200
@pytest.mark.parametrize(
"prompt, image_data, success",
[
# test model is trained on CIFAR-10, but it's quite dumb due to small size
("What is this: <__media__>\n", "IMG_BASE64_0", True),
("What is this: <__media__>\n", "IMG_BASE64_1", True),
("What is this: <__media__>\n", "malformed", False), # non-image data
("What is this:\n", "base64", False), # non-image data
]
)
def test_vision_embeddings(prompt, image_data, success):
global server
server.server_embeddings = True
server.n_batch = 512
server.start()
image_data = get_img_url(image_data)
res = server.make_request("POST", "/embeddings", data={
"content": [
{ JSON_PROMPT_STRING_KEY: prompt, JSON_MULTIMODAL_KEY: [ image_data ] },
{ JSON_PROMPT_STRING_KEY: prompt, JSON_MULTIMODAL_KEY: [ image_data ] },
{ JSON_PROMPT_STRING_KEY: prompt, },
],
})
if success:
assert res.status_code == 200
content = res.body
# Ensure embeddings are stable when multimodal.
assert content[0]['embedding'] == content[1]['embedding']
# Ensure embeddings without multimodal but same prompt do not match multimodal embeddings.
assert content[0]['embedding'] != content[2]['embedding']
else:
assert res.status_code != 200
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