# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

import os
import json
import glob
import logging
import pandas as pd
import multiprocessing

from multiprocessing import Process

from CspChromeTraceFormatter import ChromeTraceFormatter

from CspFileReader import FileReader
from CspFileReader import getLogger
from CspFileReader import TIME_PATH, DCGM_PATH, NET_PATH, PROFILE_PATH
from CspFileReader import NETINFO_TRACE_NUM, DCGMINFO_TRACE_NUM, PIPELINEINFO_TRACE_NUM
from CspFileReader import FILEORGANIZEFORM_BYRANK, FILEORGANIZEFORM_BYTRAINER, FILEORGANIZEFORM_BYOTHER, FILEORGANIZEFORM


class netFileReader(FileReader):
 def _parseSingleFile(self, fileNameList, tx_pid, rx_pid, q=None):

 traceInfo = {}
 traceEventList = []

 metaInfo = {}
 metaInfo['name'] = 'process_name'
 metaInfo['ph'] = 'M'
 metaInfo['pid'] = tx_pid
 metaInfo['args'] = {'name': "%02d_tx" % tx_pid}

 traceEventList.append(metaInfo)
 metaInfo = {}
 metaInfo['name'] = 'process_name'
 metaInfo['ph'] = 'M'
 metaInfo['pid'] = rx_pid
 metaInfo['args'] = {'name': "%02d_rx" % rx_pid}

 traceEventList.append(metaInfo)

 trainerIdList = []
 for fileName in fileNameList:
 trainerId = self.getTrainerId(fileName)
 trainerIdList.append(trainerId)
 with open(fileName, "r") as rf:
 for line in rf:
 try:
 event_str = json.loads(line.strip())
 event_str["pid"] = tx_pid if event_str[
 "name"] == "tx" else rx_pid
 # the unit of net is ms, we need ns
 event_str["ts"] = self._align_ts(event_str["ts"] * 1e6)
 event_str["id"] = trainerId
 traceEventList.append(event_str)

 except Exception:
 self._logger.warning(
 "invalid record [%s] in [%s]. skip it!" %
 (line[:-1], fileName))
 traceInfo["traceEvents"] = traceEventList

 if not q is None:
 q.put(traceInfo)
 else:
 return traceInfo

 def parseFileByGroup(self, groupId, processNum=8):
 fileFist = self.getFileListByGroup(groupId)
 fileFist = fileFist[:min(self._displaySize, len(fileFist))]

 manager = multiprocessing.Manager()
 q = manager.Queue()

 processPool = []
 pidList = []
 tx_pid = PIPELINEINFO_TRACE_NUM
 rx_pid = PIPELINEINFO_TRACE_NUM + 1

 taskList = self._splitTaskListForMultiProcess(fileFist, processNum)
 for task in taskList:
 subproc = Process(
 target=self._parseSingleFile, args=(
 task,
 tx_pid,
 rx_pid,
 q, ))
 processPool.append(subproc)
 subproc.start()
 pidList.append(subproc.pid)
 self._logger.info(
 "[Net info]: process [%d] has been started, total task num is %d ..."
 % (subproc.pid, len(processPool)))

 for t in processPool:
 t.join()
 pidList.remove(t.pid)
 self._logger.info(
 "[Net info]: process [%d] has exited! remained %d process!" %
 (t.pid, len(pidList)))

 traceInfo = {}
 isFistProcess = True
 for t in processPool:
 if isFistProcess:
 isFistProcess = False
 traceInfo["traceEvents"] = q.get()["traceEvents"]
 else:
 traceInfo["traceEvents"].extend(q.get()["traceEvents"])

 return traceInfo


def test_netFileReader():
 args = {
 "dataPath": "data/newdata/net",
 "groupSize": 4,
 "displaySize": 2,
 "gpuPerTrainer": 8,
 "minTimeStamp": 0,
 "organizeForm": FILEORGANIZEFORM_BYTRAINER,
 }

 testReader = netFileReader(getLogger(), args)
 testReader.printArgs()
 data = testReader.parseFileByGroup(0, 8)

 jsObj = json.dumps(data, indent=4, separators=(',', ': '))
 fileObject = open('jsonFile.json', 'w')
 fileObject.write(jsObj)
 fileObject.close()


if __name__ == "__main__":
 test_netFileReader()