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Support nnictl tensorboard (#268)  
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# Copyright (c) Microsoft Corporation
# All rights reserved.
#
# MIT License
#
# Permission is hereby granted, free of charge,
# to any person obtaining a copy of this software and associated
# documentation files (the "Software"), to deal in the Software without restriction,
# including without limitation the rights to use, copy, modify, merge, publish,
# distribute, sublicense, and/or sell copies of the Software, and
# to permit persons to whom the Software is furnished to do so, subject to the following conditions:
# The above copyright notice and this permission notice shall be included
# in all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED *AS IS*, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING
# BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
# NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,
# DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

import os
import psutil
import json
import datetime
import time
from subprocess import call, check_output, Popen, PIPE
from .rest_utils import rest_get, rest_delete, check_rest_server_quick, check_response
from .config_utils import Config, Experiments
from .url_utils import trial_jobs_url, experiment_url, trial_job_id_url, get_local_urls
from .constants import NNICTL_HOME_DIR, EXPERIMENT_INFORMATION_FORMAT, EXPERIMENT_DETAIL_FORMAT, COLOR_GREEN_FORMAT
import time
from .common_utils import print_normal, print_error, print_warning, detect_process, detect_port
from .nnictl_utils import *
import re
from .ssh_utils import create_ssh_sftp_client, copy_remote_directory_to_local
import tempfile

def parse_log_path(args, trial_content):
    '''parse log path'''
    path_list = []
    host_list = []
    for trial in trial_content:
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Revert to orginal `nnictl log trial` and `nnictl trial kill` (#988)  
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        if args.trial_id and args.trial_id != 'all' and trial.get('id') != args.trial_id:
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Support nnictl tensorboard (#268)  
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            continue
        pattern = r'(?P<head>.+)://(?P<host>.+):(?P<path>.*)'
        match = re.search(pattern,trial['logPath'])
        if match:
            path_list.append(match.group('path'))
            host_list.append(match.group('host'))
    if not path_list:
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        print_error('Trial id %s error!' % args.trial_id)
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        exit(1)
    return path_list, host_list

def copy_data_from_remote(args, nni_config, trial_content, path_list, host_list, temp_nni_path):
    '''use ssh client to copy data from remote machine to local machien'''
    machine_list = nni_config.get_config('experimentConfig').get('machineList')
    machine_dict = {}
    local_path_list = []
    for machine in machine_list:
        machine_dict[machine['ip']] = {'port': machine['port'], 'passwd': machine['passwd'], 'username': machine['username']}
    for index, host in enumerate(host_list):
        local_path = os.path.join(temp_nni_path, trial_content[index].get('id'))
        local_path_list.append(local_path)
        print_normal('Copying log data from %s to %s' % (host + ':' + path_list[index], local_path))
        sftp = create_ssh_sftp_client(host, machine_dict[host]['port'], machine_dict[host]['username'], machine_dict[host]['passwd'])
        copy_remote_directory_to_local(sftp, path_list[index], local_path)
    print_normal('Copy done!')
    return local_path_list

def get_path_list(args, nni_config, trial_content, temp_nni_path):
    '''get path list according to different platform'''
    path_list, host_list = parse_log_path(args, trial_content)
    platform = nni_config.get_config('experimentConfig').get('trainingServicePlatform')
    if platform == 'local':
        print_normal('Log path: %s' % ' '.join(path_list))
        return path_list
    elif platform == 'remote':
        path_list = copy_data_from_remote(args, nni_config, trial_content, path_list, host_list, temp_nni_path)
        print_normal('Log path: %s' % ' '.join(path_list))
        return path_list
    else:
        print_error('Not supported platform!')
        exit(1)

def format_tensorboard_log_path(path_list):
    new_path_list = []
    for index, value in enumerate(path_list):
        new_path_list.append('name%d:%s' % (index + 1, value))
    return ','.join(new_path_list)

def start_tensorboard_process(args, nni_config, path_list, temp_nni_path):
    '''call cmds to start tensorboard process in local machine'''
    if detect_port(args.port):
        print_error('Port %s is used by another process, please reset port!' % str(args.port))
        exit(1)
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    with open(os.path.join(temp_nni_path, 'tensorboard_stdout'), 'a+') as stdout_file, open(os.path.join(temp_nni_path, 'tensorboard_stderr'), 'a+') as stderr_file:
        cmds = ['tensorboard', '--logdir', format_tensorboard_log_path(path_list), '--port', str(args.port)]
        tensorboard_process = Popen(cmds, stdout=stdout_file, stderr=stderr_file)
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    url_list = get_local_urls(args.port)
    print_normal(COLOR_GREEN_FORMAT % 'Start tensorboard success!\n' + 'Tensorboard urls: ' + '     '.join(url_list))
    tensorboard_process_pid_list = nni_config.get_config('tensorboardPidList')
    if tensorboard_process_pid_list is None:
        tensorboard_process_pid_list = [tensorboard_process.pid]
    else:
        tensorboard_process_pid_list.append(tensorboard_process.pid)
    nni_config.set_config('tensorboardPidList', tensorboard_process_pid_list)

def stop_tensorboard(args):
    '''stop tensorboard'''
    experiment_id = check_experiment_id(args)
    experiment_config = Experiments()
    experiment_dict = experiment_config.get_all_experiments()
    config_file_name = experiment_dict[experiment_id]['fileName']
    nni_config = Config(config_file_name)
    tensorboard_pid_list = nni_config.get_config('tensorboardPidList')
    if tensorboard_pid_list:
        for tensorboard_pid in tensorboard_pid_list:
            try:
                cmds = ['kill', '-9', str(tensorboard_pid)]
                call(cmds)
            except Exception as exception:
                print_error(exception)
        nni_config.set_config('tensorboardPidList', [])
        print_normal('Stop tensorboard success!')
    else:
        print_error('No tensorboard configuration!')


def start_tensorboard(args):
    '''start tensorboard'''
    experiment_id = check_experiment_id(args)
    experiment_config = Experiments()
    experiment_dict = experiment_config.get_all_experiments()
    config_file_name = experiment_dict[experiment_id]['fileName']
    nni_config = Config(config_file_name)
    rest_port = nni_config.get_config('restServerPort')
    rest_pid = nni_config.get_config('restServerPid')
    if not detect_process(rest_pid):
        print_error('Experiment is not running...')
        return
    running, response = check_rest_server_quick(rest_port)
    trial_content = None
    if running:
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        response = rest_get(trial_jobs_url(rest_port), REST_TIME_OUT)
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        if response and check_response(response):
            trial_content = json.loads(response.text)
        else:
            print_error('List trial failed...')
    else:
        print_error('Restful server is not running...')
    if not trial_content:
        print_error('No trial information!')
        exit(1)
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    if len(trial_content) > 1 and not args.trial_id:
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        print_error('There are multiple trials, please set trial id!')
        exit(1)
    experiment_id = nni_config.get_config('experimentId')
    temp_nni_path = os.path.join(tempfile.gettempdir(), 'nni', experiment_id)
    os.makedirs(temp_nni_path, exist_ok=True)

    path_list = get_path_list(args, nni_config, trial_content, temp_nni_path)
    start_tensorboard_process(args, nni_config, path_list, temp_nni_path)