import requests
import json
from typing import List, Tuple

# ========== 全局配置 ==========
BASE_URL = "https://modelhub.org.cn"
LOGIN_ENDPOINT = "/adminApi/user/login"
SUBMIT_TEST_TASK_ENDPOINT = "/adminApi/async/task/create-contest-task"

USER_ACCOUNT = "zhoushasha@4paradigm.com"
USER_PASSWORD = "4pdpassword"


CONTEST_API_TOKEN = "ef1ef82f3c9efee413d602345fbe224d"


CONTRIBUTORS = "zhoushasha"


GPU_TYPE = "Cambricon_mlu-370-x8"

TASK_TYPE = "text-generation"

HEADERS = {"Content-Type": "application/json"}

# ======== 模型列表（保持不变）========
ALL_MODEL_IDS = [
    
    "AI-ModelScope/gemma-2b",
    "AI-ModelScope/falcon-mamba-7b",
    "katanemo/deepseek-2",
    "OpenBMB/MiniCPM4-0.5B",
    "NousResearch/Meta-Llama-3-8B-Instruct",
    "MediaTek-Research/Breeze-7B-Instruct-v1_0",
    "QLUNLP/BianCang-Qwen2.5-7B-Instruct",
    "OpenBMB/MiniCPM4-Survey",
    "OpenBMB/MiniCPM4-8B",
    "PaddlePaddle/ERNIE-4.5-0.3B-PT",
    "LLM-Research/Llama-Guard-3-8B",
    "OpenBMB/MiniCPM-2B-dpo-fp16",
    "OpenBMB/MiniCPM4.1-8B",
    "Cylingo/Xinyuan-LLM-14B-0428",
    "Fengshenbang/Ziya-LLaMA-13B-v1",
    "baichuan-inc/Baichuan2-13B-Chat",
    "LLM-Research/gemma-2-9b-it",
    "Qwen/CodeQwen1.5-7B-Chat",
    "OpenBMB/cpm-bee-10b",
    "OpenBMB/MiniCPM3-4B",
    

]

# === 登录获取 token ===
def login():
    payload = {"userAccount": USER_ACCOUNT, "userPassword": USER_PASSWORD}
    print("🔑 正在登录...")
    resp = requests.post(BASE_URL + LOGIN_ENDPOINT, headers=HEADERS, json=payload)
    if resp.status_code != 200:
        raise Exception(f"HTTP 登录失败: {resp.text}")
    data = resp.json()
    if data.get("code") != 0:
        raise Exception(f"业务登录失败: {data.get('message')}")
    token = data["data"]["token"]
    print("✅ 登录成功！")
    return token

# === 提交单个模型的测试任务（vLLM + kunlunxin_p-800）===
def submit_test_task(token: str, model_id: str) -> Tuple[str, str]:
    auth_headers = {**HEADERS, "Authorization": f"Bearer {token}"}
    config_content = f"""docker_image: harbor.4pd.io/hardcore-tech/cambricon-mlu370-pytorch:v25.01-torch2.5.0-torchmlu1.24.1-ubuntu22.04-py310
nv_docker_image: harbor.4pd.io/dooke/vllm/vllm/vllm-openai:v0.11.0
framework: vllm
storage: gpfs
modelhub_options:
  srcRelativePath: leaderboard/modelHubXC/{model_id}
  mountPoint: /model
sut_config:
  values:
    gpu_num: 1
    env:
      - name: MAX_MODEL_LEN
        value: 8192
    command: ["vllm", "serve", "/model", "--port", "8000", "--served-model-name", "llm", "--max-model-len", "8192", "--trust-remote-code", "--dtype", "float16"]
ref_config:
  values:
    cpu_num: 2
    gpu_num: 1
    env:
      - name: MAX_MODEL_LEN
        value: 8192
    command: ["vllm", "serve", "/model", "--port", "80", "--served-model-name", "llm", "--max-model-len", "8192", "--trust-remote-code", "--dtype", "float16"]
"""
    task_data = {
        "contestApiToken": CONTEST_API_TOKEN,
        "contributors": CONTRIBUTORS,
        "gpuTypes": [GPU_TYPE],
        "taskType": TASK_TYPE,
        "modelId": model_id,
        "framework": "vllm",
        "submissionConfig": [{
            "config": config_content,
            "gpuType": GPU_TYPE,
            "taskType": TASK_TYPE
        }]
    }
    print(f"📤 提交验证任务: {model_id} (GPU: {GPU_TYPE})")
    try:
        resp = requests.post(BASE_URL + SUBMIT_TEST_TASK_ENDPOINT, json=task_data, headers=auth_headers, timeout=15)
        if resp.status_code == 200:
            result = resp.json()
            if result.get("code") == 0:
                task_id = result.get("data", {}).get("id")
                print(f"✅ 验证任务提交成功! Task ID: {task_id}")
                return task_id, model_id
            else:
                print(f"❌ 验证任务业务错误 ({model_id}): {result.get('message')}")
                return None, model_id
        else:
            print(f"❌ 验证任务 HTTP 错误 ({model_id}): {resp.status_code} - {resp.text}")
            return None, model_id
    except Exception as e:
        print(f"💥 提交验证任务异常 ({model_id}): {e}")
        return None, model_id

# === 主函数：仅提交验证任务 ===
def main():
    if not ALL_MODEL_IDS:
        print("❌ 模型列表为空，请在 ALL_MODEL_IDS 中填入模型ID")
        return

    token = login()
    total_count = len(ALL_MODEL_IDS)
    print(f"📊 共 {total_count} 个模型待提交验证任务")

    successful_tasks: List[Tuple[str, str]] = []  # (task_id, model_id)

    for model_id in ALL_MODEL_IDS:
        task_id, mid = submit_test_task(token, model_id)
        if task_id:
            successful_tasks.append((task_id, mid))

    # 写入成功提交的 task_id 和 model_id 到文件
    with open("submitted_validation_tasks.txt", "w", encoding="utf-8") as f:
        for tid, mid in successful_tasks:
            f.write(f"{tid}\t{mid}\n")

    # 最终统计
    print("\n" + "=" * 60)
    print(f"🎉 全部完成！")
    print(f"✅ 成功提交验证任务: {len(successful_tasks)}")
    print(f"📄 详情已写入: submitted_validation_tasks.txt")
    print(f"📊 总计尝试: {total_count}")

if __name__ == "__main__":
    main()