Administrator
2024-12-30 0ff5b4417b015c73566f73ac0ebf675c5ca862bf
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"""
交易API
"""
import json
import logging
import multiprocessing
import queue
import random
import threading
import time
import concurrent.futures
 
import requests
 
from utils import socket_util, tool
 
__response_thread_pool = concurrent.futures.ThreadPoolExecutor(max_workers=15)
__save_data_queue = queue.Queue()
 
 
def __run_recv_queue_trade(queue: multiprocessing.Queue):
    # 设置结果
    def __set_response(data_json):
        if 'request_id' not in data_json:
            return
        # 设置响应内容
        set_response(data_json["request_id"], data_json['data'])
 
    def __send_to_trade_server(data_str):
        requests.post("http://183.234.94.164:12881/trade_callback", data_str)
 
    if queue is not None:
        while True:
            try:
                val = queue.get()
                if val:
                    data_json = json.loads(val)
                    # 处理数据
                    type_ = data_json["type"]
                    if type_ == "response":
                        # 主动触发的响应
                        request_id = data_json['request_id']
 
                        __response_thread_pool.submit(__set_response, data_json)
                    elif type_ == "trade_callback":
                        try:
                            # 交易回调
                            data_json = data_json["data"]
                            # 将交易回调传递给交易服务器
                            __response_thread_pool.submit(__send_to_trade_server, val)
                            # 记录交易反馈日志
                        finally:
                            pass
            except:
                pass
 
 
# 设置交易通信队列
# 暂时不会使用该方法
def run_trade(queue_strategy_r_trade_w_, queue_strategy_w_trade_r_, queue_strategy_w_trade_r_for_query_):
    """
 
    :param queue_strategy_r_trade_w_: 接收交易结果数据队列
    :param queue_strategy_w_trade_r_: 发送交易指令队列
    :param queue_strategy_w_trade_r_for_query_:发送查询的交易指令队列
    :param trade_ipc_addr:
    :return:
    """
    global queue_strategy_w_trade_r, queue_strategy_w_trade_r_for_query
    queue_strategy_w_trade_r = queue_strategy_w_trade_r_
    queue_strategy_w_trade_r_for_query = queue_strategy_w_trade_r_for_query_
 
    # 读取交易结果
    threading.Thread(target=lambda: __run_recv_queue_trade(queue_strategy_r_trade_w_), daemon=True).start()
 
 
# 交易通道的错误次数
trade_pipe_channel_error_count = 0
 
 
# pipe的交易通道是否正常
def is_pipe_channel_normal():
    return True
 
 
# 测试交易通道
def test_trade_channel():
    global trade_pipe_channel_error_count
    sid = random.randint(0, 1000000)
    result = __test_trade_channel(sid)
    if result["code"] == 0 and result["data"]["data"]["sid"] == sid:
        trade_pipe_channel_error_count = 0
        return True
    trade_pipe_channel_error_count += 1
    if trade_pipe_channel_error_count > 100:
        trade_pipe_channel_error_count = 100
    return False
 
 
class ClientSocketManager:
    # 客户端类型
    CLIENT_TYPE_TRADE = "trade"
    CLIENT_TYPE_DELEGATE_LIST = "delegate_list"
    CLIENT_TYPE_DEAL_LIST = "deal_list"
    CLIENT_TYPE_POSITION_LIST = "position_list"
    CLIENT_TYPE_MONEY = "money"
    CLIENT_TYPE_DEAL = "deal"
    CLIENT_TYPE_CMD_L2 = "l2_cmd"
    socket_client_dict = {}
    socket_client_lock_dict = {}
    active_client_dict = {}
 
    @classmethod
    def list_client(cls, _type):
        if _type == cls.CLIENT_TYPE_TRADE:
            if _type in cls.socket_client_dict:
                return cls.socket_client_dict.get(_type)
        else:
            if _type in cls.socket_client_dict:
                return [cls.socket_client_dict.get(_type)]
        return []
 
    @classmethod
    def add_client(cls, _type, rid, sk):
        if _type == cls.CLIENT_TYPE_TRADE:
            # 交易列表
            if _type not in cls.socket_client_dict:
                cls.socket_client_dict[_type] = []
            cls.socket_client_dict[_type].append((rid, sk))
            cls.socket_client_lock_dict[rid] = threading.Lock()
        else:
            cls.socket_client_dict[_type] = (rid, sk)
            cls.socket_client_lock_dict[rid] = threading.Lock()
 
    # 是否已经被锁住
    @classmethod
    def is_client_locked(cls, rid):
        if rid in cls.socket_client_lock_dict:
            return cls.socket_client_lock_dict[rid].locked()
        return None
 
    @classmethod
    def acquire_client(cls, _type):
        if _type == cls.CLIENT_TYPE_TRADE:
            if _type in cls.socket_client_dict:
                # 根据排序活跃时间排序
                client_list = sorted(cls.socket_client_dict[_type], key=lambda x: cls.active_client_dict.get(x[0]) if x[
                                                                                                                          0] in cls.active_client_dict else 0,
                                     reverse=True)
 
                for d in client_list:
                    if d[0] in cls.socket_client_lock_dict:
                        try:
                            if cls.socket_client_lock_dict[d[0]].acquire(blocking=False):
 
                                return d
                        except threading.TimeoutError:
                            pass
        else:
            if _type in cls.socket_client_dict:
                try:
                    d = cls.socket_client_dict[_type]
                    if d[0] in cls.socket_client_lock_dict:
                        if cls.socket_client_lock_dict[d[0]].acquire(blocking=False):
                            return d
                except threading.TimeoutError:
                    pass
        return None
 
    @classmethod
    def release_client(cls, client_id):
        sucess = False
        if client_id in cls.socket_client_lock_dict:
            sucess = True
            # 释放锁
            if cls.socket_client_lock_dict[client_id].locked():
                cls.socket_client_lock_dict[client_id].release()
 
    @classmethod
    def del_client(cls, rid):
        # 删除线程锁
        if rid in cls.socket_client_lock_dict:
            cls.socket_client_lock_dict.pop(rid)
        # 删除sk
        for t in cls.socket_client_dict:
            if type(cls.socket_client_dict[t]) == list:
                for d in cls.socket_client_dict[t]:
                    if d[0] == rid:
                        try:
                            # 关闭socket
                            d[1].close()
                        except:
                            pass
                        cls.socket_client_dict[t].remove(d)
                        break
 
            elif type(cls.socket_client_dict[t]) == tuple:
                if cls.socket_client_dict[t][0] == rid:
                    try:
                        # 关闭socket
                        cls.socket_client_dict[t][1].close()
                    except:
                        pass
                    cls.socket_client_dict.pop(t)
                    break
 
    # 心跳信息
    @classmethod
    def heart(cls, rid):
        cls.active_client_dict[rid] = time.time()
 
    @classmethod
    def del_invalid_clients(cls):
        # 清除长时间无心跳的客户端通道
        for k in cls.active_client_dict.keys():
            if time.time() - cls.active_client_dict[k] > 20:
                # 心跳时间间隔20s以上视为无效
                cls.del_client(k)
 
 
TRADE_DIRECTION_BUY = 1
TRADE_DIRECTION_SELL = 2
 
# 超时时间2s
TIMEOUT = 2.0
# 交易代理
TRADE_DELEGATED = True
 
# 等待响应的request_id
__request_response_dict = {}
 
 
def __get_request_id(type):
    return f"r_{type}_{round(time.time() * 10000)}_{random.randint(0, 100000)}"
 
 
# 网络请求
def __request(_type, data, request_id=None, log_enable=True, is_trade=False):
    """
    请求,将交易(包含下单/撤单)与查询(包含查持仓/账户可用金额/委托列表/成交列表)队列分离
    @param _type:
    @param data:
    @param request_id:
    @param log_enable:
    @param is_trade:
    @return:
    """
    if not request_id:
        request_id = __get_request_id(_type)
    try:
        root_data = {"type": _type,
                     "data": data,
                     "request_id": request_id,
                     "time": time.time()
                     }
        root_data = socket_util.encryp_client_params_sign(root_data)
        start_time = time.time()
        if is_trade:
            queue_strategy_w_trade_r.put_nowait(root_data)
        else:
            queue_strategy_w_trade_r_for_query.put_nowait(root_data)
 
        use_time = int((time.time() - start_time) * 1000)
    except BrokenPipeError as e:
 
        raise e
    except Exception as e:
 
        logging.exception(e)
        raise e
    return request_id
 
 
def __read_response(request_id, blocking, timeout=TIMEOUT, log_enable=True):
    if blocking:
        start_time = time.time()
        try:
            while True:
                time.sleep(0.005)
                if request_id in __request_response_dict:
                    # 获取到了响应内容
                    result = __request_response_dict.pop(request_id)
                    return result
                if time.time() - start_time > timeout:
                    # 读取内容超时才会释放
                    raise Exception(f"读取内容超时: request_id={request_id}")
        finally:
            pass
 
    return None
 
 
 
def set_response(request_id, response):
    if request_id:
        # 主动触发
        __request_response_dict[request_id] = response
    else:
        # 被动触发
        pass
 
 
def request(type_, data):
    request_id = __request(type_,
                           data)
    return __read_response(request_id, blocking=True)
 
 
# 设置L2订阅数据
def __test_trade_channel(sid):
    request_id = __request("test",
                           {"type": "test", "data": {"sid": sid}}, log_enable=False)
    return __read_response(request_id, True, log_enable=False)
 
 
def parseResponse(data_str):
    if not data_str:
        raise Exception("反馈内容为空")
    res = data_str
    if type(res) == str:
        res = json.loads(data_str)
    res = res['data']
    if res['code'] != 0:
        raise Exception(res['msg'])
    return res['data']
 
 
if __name__ == "__main__":
    requests.post("http://192.168.3.241:12881/trade_callback", json.dumps({"code":"123123"}))