# Tai Sakuma <tai.sakuma@gmail.com>
import sys
import logging

from alphatwirl import concurrently, progressbar
from alphatwirl.misc.deprecation import _deprecated
from alphatwirl.misc.deprecation import _deprecated_func_option

from .parallel import Parallel

##__________________________________________________________________||
@_deprecated_func_option('htcondor_job_desc_extra', msg='use dispatcher_options instead')
def build_parallel(parallel_mode, quiet=True, processes=4, user_modules=[ ],
                   htcondor_job_desc_extra=[ ], dispatcher_options=dict()):

    dispatchers = ('subprocess', 'htcondor')
    parallel_modes = ('multiprocessing', ) + dispatchers
    default_parallel_mode = 'multiprocessing'

    if not parallel_mode in parallel_modes:
        logger = logging.getLogger(__name__)
        logger.warning('unknown parallel_mode "{}", use default "{}"'.format(
            parallel_mode, default_parallel_mode
        ))
        parallel_mode = default_parallel_mode

    if parallel_mode == 'multiprocessing':
        return _build_parallel_multiprocessing(quiet=quiet, processes=processes)

    ## TODO: to be deleted as htcondor_job_desc_extra is obsolete
    dispatcher_options = dispatcher_options.copy()
    if parallel_mode == 'htcondor':
        if htcondor_job_desc_extra:
            dispatcher_options['job_desc_extra'] = htcondor_job_desc_extra

    return _build_parallel_dropbox(
        parallel_mode=parallel_mode,
        user_modules=user_modules,
        dispatcher_options=dispatcher_options
    )

##__________________________________________________________________||
def _build_parallel_dropbox(parallel_mode, user_modules,
                            dispatcher_options):

    workingarea_topdir = '_ccsp_temp'
    python_modules = set(user_modules)
    python_modules.add('alphatwirl')
    workingarea_options = dict(topdir=workingarea_topdir, python_modules=python_modules)

    if parallel_mode == 'htcondor':
        dispatcher_class = concurrently.HTCondorJobSubmitter
    else:
        dispatcher_class = concurrently.SubprocessRunner

    return _build_parallel_dropbox_(
        workingarea_options, dispatcher_class, dispatcher_options
    )

def _build_parallel_dropbox_(workingarea_options,
                             dispatcher_class, dispatcher_options):

    workingarea = concurrently.WorkingArea(**workingarea_options)

    dispatcher = dispatcher_class(**dispatcher_options)

    dropbox = concurrently.TaskPackageDropbox(
        workingArea=workingarea,
        dispatcher=dispatcher
    )
    communicationChannel = concurrently.CommunicationChannel(
        dropbox=dropbox
    )

    progressMonitor = progressbar.NullProgressMonitor()

    return Parallel(progressMonitor, communicationChannel, workingarea)

##__________________________________________________________________||
def _build_parallel_multiprocessing(quiet, processes):

    if quiet:
        progressBar = None
    elif sys.stdout.isatty():
        progressBar = progressbar.ProgressBar()
    elif is_jupyter_notebook():
        progressBar = progressbar.ProgressBarJupyter()
    else:
        progressBar = progressbar.ProgressPrint()

    if processes is None or processes == 0:
        progressMonitor = progressbar.NullProgressMonitor() if quiet else progressbar.ProgressMonitor(presentation = progressBar)
        communicationChannel = concurrently.CommunicationChannel0()
    else:
        progressMonitor = progressbar.NullProgressMonitor() if quiet else progressbar.BProgressMonitor(presentation = progressBar)
        dropbox = concurrently.MultiprocessingDropbox(processes, progressMonitor)
        communicationChannel = concurrently.CommunicationChannel(dropbox = dropbox)

    return Parallel(progressMonitor, communicationChannel)

##__________________________________________________________________||
def is_jupyter_notebook():
    return True

##__________________________________________________________________||
@_deprecated(msg='use alphatwirl.parallel.build.build_parallel() instead.')
def build_parallel_multiprocessing(quiet, processes):
    return build_parallel(
        parallel_mode='multiprocessing',
        quiet=quiet, processes=processes
    )

##__________________________________________________________________||

@@ -3892,18 +3892,167 @@
     
-return Tru
+try:%0A        from IPython import get_ipython%0A        if 'IPKernelApp' in get_ipython().config:%0A            return True%0A    except:%0A        pass%0A    return Fals
 e%0A%0A#

implement is_jupyter_notebook()