import base64
import os

import huggingface_hub
import requests
from modelscope import snapshot_download  # type: ignore

mm_dir = snapshot_download(
    "vllm-ascend/mm_request",
    repo_type="dataset",
    local_files_only=huggingface_hub.constants.HF_HUB_OFFLINE,
)
image_path = os.path.join(mm_dir, "test_mm2.jpg")
with open(image_path, "rb") as image_file:
    image_data = base64.b64encode(image_file.read()).decode("utf-8")

data = {
    "messages": [
        {
            "role": "user",
            "content": [
                {"type": "text", "text": "What is the content of this image?"},
                {"type": "image_url", "image_url": {"url": f"data:image/jpeg;base64,{image_data}"}},
            ],
        }
    ],
    "eos_token_id": [1, 106],
    "pad_token_id": 0,
    "top_k": 64,
    "top_p": 0.95,
    "max_tokens": 8192,
    "stream": False,
}

headers = {"Accept": "application/json", "Content-Type": "application/json"}


def send_image_request(model, server):
    data["model"] = model
    url = server.url_for("v1", "chat", "completions")
    response = requests.post(url, headers=headers, json=data)
    print("Status Code:", response.status_code)
    response_json = response.json()
    print("Response:", response_json)
    assert response_json["choices"][0]["message"]["content"], "empty response"