arbitrage/signal001/submit_process_demo.py

import requests
import json
import time
import logging
from decimal import Decimal # 使用 Decimal 来表示精确的金额和价差

logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')

# --- 配置 arb_executor.py 的 HTTP 地址和端口 ---
ARB_EXECUTOR_URL = "http://localhost:5002/submit_process"

# --- 模拟的套利机会数据 ---
# 这是一个示例，实际数据应来自你的 price_checker 逻辑
def create_mock_arbitrage_data():
    import ok_chain_client
    
    CHAIN_ID = 1
    IN_TOKEN_ADDRESS = '0xdAC17F958D2ee523a2206206994597C13D831ec7' # USDT on Ethereum
    IN_TOKEN_DECIMALS = 6
    EXCHANGE_OUT_AMOUNT = Decimal('2000000')
    IN_AMOUNT_TO_QUERY = Decimal('30')
    OUT_TOKEN_ADDRESS = '0xf816507E690f5Aa4E29d164885EB5fa7a5627860' # RATO on Ethereum
    USER_WALLET = '0xb1f33026Db86a86372493a3B124d7123e9045Bb4'
    USER_EXCHANGE_WALLET = '0xc71835a042F4d870B0F4296cc89cAeb921a9f3DA'
    SLIPPAGE = 1
    MEXC_TARGET_PAIR_USDT = 'RATO_USDT' # MEXC 现货交易对

    # 询价，注意！！！这里直接把交易所地址当收款方，省去transfer的流程
    data = ok_chain_client.swap(CHAIN_ID, 
                                IN_AMOUNT_TO_QUERY * (10 ** IN_TOKEN_DECIMALS), 
                                IN_TOKEN_ADDRESS, 
                                OUT_TOKEN_ADDRESS, 
                                SLIPPAGE, 
                                USER_WALLET,
                                USER_EXCHANGE_WALLET,  # 这里直接把交易所地址当收款方，省去transfer的流程！！！
                                )

    print(data)

    d = data['data'][0]
    tx = d['tx']
    router_result = d['routerResult']
    in_dec, out_dec = int(router_result['fromToken']['decimal']), int(router_result['toToken']['decimal'])
    atomic_in_base, atomic_out_target = Decimal(router_result['fromTokenAmount']), Decimal(router_result['toTokenAmount'])
    human_in_base = atomic_in_base / (10 ** in_dec)
    human_out_target = atomic_out_target / (10 ** out_dec)

    # 构造提交给 arb_executor 的数据体
    data = {
        "tx": tx,
        "profit": str(0.02),
        "profitLimit": str(0.01),
        "symbol": MEXC_TARGET_PAIR_USDT,
        "fromToken": IN_TOKEN_ADDRESS,
        "fromTokenAmountHuman": str(human_in_base),
        "fromTokenDecimal": IN_TOKEN_DECIMALS,                  
        "toToken": OUT_TOKEN_ADDRESS,
        "toTokenAmountHuman": str(human_out_target),
        "exchangeOutAmount": str(EXCHANGE_OUT_AMOUNT)
    }
    return data

# --- 发送请求函数 ---
def submit_arbitrage_process(arbitrage_data):
    """
    向 arb_executor 服务提交套利处理请求。
    """
    print(f"正在提交套利数据到 {ARB_EXECUTOR_URL}")

    try:
        # 发送 POST 请求
        response = requests.post(ARB_EXECUTOR_URL, json=arbitrage_data)

        # 检查响应状态码
        if response.status_code == 201:
            print("\n请求成功! 套利流程已启动。")
        elif response.status_code == 200:
             print("\n请求接收成功，但未达到利润阈值，未启动套利流程。")
        elif response.status_code == 400:
             print("\n请求失败! 无效的请求数据。")
        else:
            print(f"\n请求失败! 状态码: {response.status_code}")

        # 使用 response.json() 解析响应体
        try:
            response_data = response.json()
            logging.info(f"\n响应数据: {response_data}")
        except requests.exceptions.JSONDecodeError:
            logging.error("无法解析响应体为 JSON。")
            logging.info(f"原始响应文本: {response.text}")

    except requests.exceptions.ConnectionError as e:
        print(f"\n连接错误: 无法连接到 {ARB_EXECUTOR_URL}。请确保 arb_executor.py 正在运行。")
        print(f"错误详情: {e}")
    except Exception as e:
        print(f"\n发送请求时发生未知错误: {e}")

# --- 主执行逻辑 ---
if __name__ == "__main__":
    print("--- 模拟 Price Checker 发现套利机会 ---")

    # 模拟一个达到利润阈值的套利机会
    arb_opportunity_met = create_mock_arbitrage_data()

    submit_arbitrage_process(arb_opportunity_met)

    print("\n模拟完成。请检查 arb_executor.py 的控制台输出和 /processing, /history 端点查看结果。")