xyzshop/plot/refill/DataStream.py

import time
from abc import ABCMeta, abstractmethod, ABC
from datetime import timedelta
from mpi4py import MPI
import h5py
from enum import IntEnum
import threading

__all__ = ['DataWriteStream', 'DataReadStream', 'day_stamp', 'EMchPosmap', 'EChPosmap', 'ENetPosmap', 'open_hdf5', 'time_border',
           'calc_interval']

import logging

logger = logging.getLogger('stream')


def day_stamp(stamp):
    import time as stime

    stamp = int(stamp)
    st_time = stime.gmtime(stamp + 8 * 3600)
    diff = timedelta(hours=st_time.tm_hour, minutes=st_time.tm_min, seconds=st_time.tm_sec)
    today = stamp - diff.total_seconds()
    return int(today)


def open_hdf5(file, is_wirte):
    if is_wirte:
        # 不知道为何在内存中加载这么慢
        # return h5py.File(file, 'a', libver='latest', driver='core')  # , swmr=True, backing_store=True
        # return h5py.File(file, driver='core',backing_store=True)  # , swmr=True, backing_store=True

        #这种加载方式速度可以
        return h5py.File(file, 'a', libver='latest', rdcc_nbytes=1024 ** 3, rdcc_w0=0.25, rdcc_nslots=6151)
    else:
        return h5py.File(file, 'r', libver='latest') #plot/test_h5py.py

def mktime(strtime):
    tdata = time.strptime(strtime, "%Y-%m-%d %H:%M:%S")
    time_stamp = int(time.mktime(tdata))
    return time_stamp


def time_border(interval, time_stamp, lt):
    day = day_stamp(time_stamp)
    pos = time_stamp - day

    if lt:
        pos = pos - pos % interval
    elif pos % interval > 0:
        pos += interval - pos % interval
    else:
        pos = pos

    return pos + day


def calc_interval(start, end):
    period = end - start
    segment = int(period / 24)
    if segment == 0:
        return 1
    else:
        intervals = [30, 60, 300, 600, 900, 1800, 3600, 7200, 10800, 14400, 18000, 21600, 25200, 28800, 32400, 36000, 39600, 43200,
                     86400, 172800]
        for i in intervals:
            if segment < i:
                return i
    pass


def span_days(start_time, end_time):
    start_day = day_stamp(start_time)
    end_day = day_stamp(end_time)
    if end_day == end_time:
        end_day = end_day - 1

    days = list()
    while start_day <= end_day:
        days.append(start_day)
        start_day += 86400
    return days

def ch_calc_cfgs():
    start_period = 3600
    ratio_period = 900
    speed_period = 60
    monitor_period = 1800
    cdf_speed_period = 60

    return start_period, ratio_period, speed_period, monitor_period, cdf_speed_period


class DataWriteStream(metaclass=ABCMeta):
    _version = 20200618
    _paths = dict()
    _lock = threading.Lock()

    def __init__(self, hfive):
        self._hfive = hfive

    # Getter function
    @property
    def file(self):
        return self._hfive

    # Setter function
    @file.setter
    def file(self, value):
        self._hfive = value

    @abstractmethod
    def write(self, method, params):
        pass

    def flush(self):
        hfive = self.file
        hfive.flush()

    def close(self):
        self._lock.acquire()
        if self._hfive is not None:
            self._hfive.close()
            self._hfive = None
        self._lock.release()

    pass


class DataReadStream(metaclass=ABCMeta):
    _version = 20200618
    _days = list()

    def __init__(self, hfive):
        self._hfive = hfive
        self._days = self._getdays()
        # stime = lambda t: time.strftime('%y-%m-%d', time.localtime(t))
        # sdays = [stime(day) for day in self._days]
        # logger.debug(sdays)

    def __del__(self):
        pass

    def days(self):
        return self._days

    # Getter function
    @property
    def file(self):
        return self._hfive

    # Setter function
    @file.setter
    def file(self, value):
        self._hfive = value

    def close(self):
        if self._hfive is not None:
            self._hfive.close()
            self._hfive = None

    def _root_path(self, day_stamp=None):
        if day_stamp is None:
            return f'/{self._version}/'
        else:
            return f'/{self._version}/{day_stamp}/'

    def datasets(self, day_stamp):
        def dir(group):
            result = []
            for name, sub in group.items():
                if isinstance(sub, h5py.Group):
                    result.extend(dir(sub))
                else:
                    result.append(sub.name)
            return result

        try:
            path = self._root_path(day_stamp)
            if path in self.file:
                group = self.file.require_group(path)
                days = dir(group)
                return days
            else:
                return []
        except Exception as ex:
            logger.error(ex)
            return []

    def _getdays(self):
        def sub(root):
            result = []
            try:
                for name, sub in root.items():
                    if isinstance(sub, h5py.Group):
                        result.append(name)
            except Exception as ex:
                logger.error(ex)
            finally:
                return result

        try:
            root_ptah = self._root_path()
            root = self.file.require_group(root_ptah)
            tmp = sub(root)
            days = [int(day) for day in tmp]
            days.sort()
            return days
        except Exception as ex:
            logger.error(ex)
            return []


class EMchPosmap(IntEnum):
    submit_count = 0
    submit_amounts = 1
    succ_count = 2
    succ_mch_amounts = 3
    succ_ch_amounts = 4
    fail_count = 5
    fail_mch_amounts = 6

    @staticmethod
    def dim():
        return 7
    pass


class EChPosmap(IntEnum):
    commit_count = 0
    commit_amounts = 1
    succ_count = 2
    succ_amounts = 3
    succ_periods = 4
    fail_count = 5
    fail_amounts = 6
    fail_periods = 7
    succ_mch_amounts = 8

    @staticmethod
    def dim():
        return 9

    @staticmethod
    def old_dim():
        return 8

    pass


class ENetPosmap(IntEnum):
    succ_count = 0
    fail_count = 1

    @staticmethod
    def dim():
        return 2

    pass