# l2数据工具
# 比较时间的大小
import hashlib
import json
import time

import l2_data_manager
import tool
from log import logger_l2_trade, logger_l2_big_data
from trade_gui import async_call


def compare_time(time1, time2):
    result = int(time1.replace(":", "", 2)) - int(time2.replace(":", "", 2))
    return result


# 将key转为l2数据对象
def l2_data_key_2_obj(k, value):
    key = k.replace("l2-", "")
    split_data = key.split("-")
    code = split_data[0]
    operateType = split_data[1]
    time = split_data[2]
    num = split_data[3]
    price = split_data[4]
    limitPrice = split_data[5]
    cancelTime = split_data[6]
    cancelTimeUnit = split_data[7]
    item = {"operateType": operateType, "time": time, "num": num, "price": price, "limitPrice": limitPrice,
            "cancelTime": cancelTime, "cancelTimeUnit": cancelTimeUnit}
    json_value = json.loads(value)
    _data = {"key": key, "val": item, "re": json_value["re"], "index": int(json_value["index"])}
    return _data


# 将数据根据num-operate分类
def load_num_operate_map(local_today_num_operate_map, code, source_datas, clear=False):
    if local_today_num_operate_map.get(code) is None:
        local_today_num_operate_map[code] = {}
    if clear:
        local_today_num_operate_map[code] = {}

    for data in source_datas:
        key = "{}-{}-{}".format(data["val"]["num"], data["val"]["operateType"],data["val"]["price"])
        if local_today_num_operate_map[code].get(key) is None:
            local_today_num_operate_map[code].setdefault(key, [])
        local_today_num_operate_map[code].get(key).append(data)


# 减去时间
def __sub_time(time_str, seconds):
    time_seconds = get_time_as_seconds(time_str) - seconds
    h = time_seconds // 3600
    m = time_seconds % 3600 // 60
    s = time_seconds % 60
    return "{0:0>2}:{1:0>2}:{2:0>2}".format(h, m, s)


def get_time_as_seconds(time_str):
    times = time_str.split(":")
    time_seconds = int(times[0]) * 3600 + int(times[1]) * 60 + int(times[2])
    return time_seconds


# 计算时间的区间
def compute_time_space_as_second(cancel_time, cancel_time_unit):
    __time = int(cancel_time)
    if int(cancel_time) == 0:
        return 0, 0
    unit = int(cancel_time_unit)
    if unit == 0:
        # 秒
        return __time, (__time + 1)
    elif unit == 1:
        # 分钟
        return __time * 60, (__time + 1) * 60
    elif unit == 2:
        # 小时
        return __time * 3600, (__time + 1) * 3600


# 根据买撤数据(与今日总的数据)计算买入数据
def get_buy_data_with_cancel_data(cancel_data, local_today_num_operate_map):
    # 计算时间区间
    min_space, max_space = compute_time_space_as_second(cancel_data["val"]["cancelTime"],
                                                          cancel_data["val"]["cancelTimeUnit"])
    max_time = __sub_time(cancel_data["val"]["time"], min_space)
    min_time = __sub_time(cancel_data["val"]["time"], max_space)
    buy_datas = local_today_num_operate_map.get("{}-{}-{}".format(cancel_data["val"]["num"], "0",cancel_data["val"]["price"]))
    if buy_datas is None:
        # 无数据
        return None, None
    for i in range(0, len(buy_datas)):
        data = buy_datas[i]
        if int(data["val"]["operateType"]) != 0:
            continue
        if int(data["val"]["num"]) != int(cancel_data["val"]["num"]):
            continue
        if min_space == 0 and max_space == 0:
            if compare_time(data["val"]["time"], min_time) == 0:
                return data["index"], data

        elif compare_time(data["val"]["time"], min_time) > 0 and compare_time(data["val"]["time"], max_time) <= 0:
            return data["index"], data
    return None, None


__last_big_data = {}


@async_call
def save_big_data(code, same_time_nums, datas):
    latest_datas = __last_big_data.get(code)
    d1 = json.dumps(datas)
    d2 = json.dumps(latest_datas)
    if latest_datas is not None and d1.strip() == d2.strip():
        return None
    __last_big_data[code] = datas
    # 获取不一样的快照
    if latest_datas is not None:
        for i in range(len(d1)):
            if d1[i] != d2[i]:
                # 保存快照
                # logger_l2_big_data.debug("code:{} d1:{}  d2:{}", code, d1[i - 60: i + 30], d2[i - 60: i + 30])
                break

    for key in same_time_nums:
        if same_time_nums[key] > 20:
            redis = l2_data_manager._redisManager.getRedis()
            redis.setex("big_data-{}-{}".format(code, int(round(time.time() * 1000))), tool.get_expire(), d1)
            break


def test(datas):
    datas["code"] = "test"


if __name__ == "__main__":
    # cancel_data = {"val": {"operateType": 1, "num": 1520, "cancelTime": 1, "cancelTimeUnit": 1, "time": "09:32:30"}}
    # today_datas=[{"val": {"operateType": 1, "num": 1520, "cancelTime": 1, "cancelTimeUnit": 0, "time": "09:32:30"}},{"val": {"operateType": 0, "num": 1520, "cancelTime": 0, "cancelTimeUnit": 0, "time": "09:31:31"}}]
    # result= get_buy_data_with_cancel_data(cancel_data,today_datas)
    # print(result)
    code = "001209"
    l2_data_manager.load_l2_data(code)
    total_datas = l2_data_manager.local_today_datas[code]
    index, data = get_buy_data_with_cancel_data(total_datas[118], l2_data_manager.local_today_num_operate_map.get(code))
    print(index, data)