"""Parallel workflow execution via Condor DAGMan
"""

import os
import sys
import uuid
import time
from warnings import warn

from .base import (GraphPluginBase, logger)

from ...interfaces.base import CommandLine


class CondorDAGManPlugin(GraphPluginBase):
    """Execute using Condor DAGMan

    The plugin_args input to run can be used to control the DAGMan execution.
    The value of most arguments can be a literal string or a filename, where in
    the latter case the content of the file will be used as the argument value.

    Currently supported options are:

    - submit_template : submit spec template for individual jobs in a DAG (see
                 CondorDAGManPlugin.default_submit_template for the default.
    - initial_specs : additional submit specs that are prepended to any job's
                 submit file
    - override_specs : additional submit specs that are appended to any job's
                 submit file
    - wrapper_cmd : path to an exectuable that will be started instead of a node
                 script. This is useful for wrapper script that execute certain
                 functionality prior or after a node runs. If this option is
                 given the wrapper command is called with the respective Python
                 exectuable and the path to the node script as final arguments
    - wrapper_args : optional additional arguments to a wrapper command
    - dagman_args : arguments to be prepended to the arguments of the
                    condor_submit_dag call
    - block : if True the plugin call will block until Condor has finished
                 prcoessing the entire workflow (default: False)
    """

    default_submit_template = """
universe = vanilla
notification = Never
executable = %(executable)s
arguments = %(nodescript)s
output = %(basename)s.out
error = %(basename)s.err
log = %(basename)s.log
getenv = True
"""
    def _get_str_or_file(self, arg):
        if os.path.isfile(arg):
            content = open(arg).read()
        else:
            content = arg
        return content

    # XXX feature wishlist
    # - infer data file dependencies from jobs
    # - infer CPU requirements from jobs
    # - infer memory requirements from jobs
    # - looks like right now all jobs come in here, regardless of whether they
    #   actually have to run. would be good to be able to decide whether they
    #   actually have to be scheduled (i.e. output already exist).
    def __init__(self, **kwargs):
        for var, id_, val in \
            (('_template', 'submit_template', self.default_submit_template),
             ('_initial_specs', 'template', ''),
             ('_initial_specs', 'initial_specs', ''),
             ('_override_specs', 'submit_specs', ''),
             ('_override_specs', 'override_specs', ''),
             ('_wrapper_cmd', 'wrapper_cmd', None),
             ('_wrapper_args', 'wrapper_args', ''),
             ('_block', 'block', False),
             ('_dagman_args', 'dagman_args', '')):
            if 'plugin_args' in kwargs \
                and not kwargs['plugin_args'] is None \
                and id_ in kwargs['plugin_args']:
                    if id_ == 'wrapper_cmd':
                        val = os.path.abspath(kwargs['plugin_args'][id_])
                    elif id_ == 'block':
                        val = kwargs['plugin_args'][id_]
                    else:
                        val = self._get_str_or_file(kwargs['plugin_args'][id_])
            setattr(self, var, val)
        # TODO remove after some time
        if 'plugin_args' in kwargs \
            and not kwargs['plugin_args'] is None:
            plugin_args = kwargs['plugin_args']
            if 'template' in plugin_args:
                warn("the 'template' argument is deprecated, use 'initial_specs' instead")
            if 'submit_specs' in plugin_args:
                warn("the 'submit_specs' argument is deprecated, use 'override_specs' instead")
        super(CondorDAGManPlugin, self).__init__(**kwargs)

    def _submit_graph(self, pyfiles, dependencies, nodes):
        # location of all scripts, place dagman output in here too
        batch_dir, _ = os.path.split(pyfiles[0])
        # DAG description filename
        dagfilename = os.path.join(batch_dir, 'workflow-%s.dag' % uuid.uuid4())
        with open(dagfilename, 'wt') as dagfileptr:
            # loop over all scripts, create submit files, and define them
            # as jobs in the DAG
            for idx, pyscript in enumerate(pyfiles):
                node = nodes[idx]
                # XXX redundant with previous value? or could it change between
                # scripts?
                template, initial_specs, override_specs, wrapper_cmd, wrapper_args = \
                    self._get_args(node,
                                   ["template", "initial_specs",
                                    "override_specs", "wrapper_cmd",
                                    "wrapper_args"])
                # add required slots to the template
                template = '%s\n%s\n%s\nqueue\n' % (
                                '%(initial_specs)s',
                                template,
                                '%(override_specs)s')
                batch_dir, name = os.path.split(pyscript)
                name = '.'.join(name.split('.')[:-1])
                specs = dict(
                    # TODO make parameter for this,
                    initial_specs=initial_specs,
                    executable=sys.executable,
                    nodescript=pyscript,
                    basename=os.path.join(batch_dir, name),
                    override_specs=override_specs
                    )
                if not wrapper_cmd is None:
                    specs['executable'] = wrapper_cmd
                    specs['nodescript'] = \
                            '%s %s %s' % (wrapper_args % specs, # give access to variables
                                          sys.executable,
                                          pyscript)
                submitspec = template % specs
                # write submit spec for this job
                submitfile = os.path.join(batch_dir,
                                          '%s.submit' % name)
                with open(submitfile, 'wt') as submitfileprt:
                    submitfileprt.writelines(submitspec)
                    submitfileprt.close()
                # define job in DAG
                dagfileptr.write('JOB %i %s\n' % (idx, submitfile))
            # define dependencies in DAG
            for child in dependencies:
                parents = dependencies[child]
                if len(parents):
                    dagfileptr.write('PARENT %s CHILD %i\n'
                                     % (' '.join([str(i) for i in parents]),
                                        child))
        # hand over DAG to condor_dagman
        cmd = CommandLine('condor_submit_dag', environ=os.environ.data,
                          terminal_output='allatonce')
        # needs -update_submit or re-running a workflow will fail
        cmd.inputs.args = '%s -update_submit %s' % (self._dagman_args,
                                                    dagfilename)
        cmd.run()
        logger.info('submitted all jobs to Condor DAGMan')
        if self._block:
            # wait for DAGMan to settle down, no time wasted it is already running
            time.sleep(10)
            if not os.path.exists('%s.condor.sub' % dagfilename):
                raise EnvironmentError("DAGMan did not create its submit file, please check the logs")
            # wait for completion
            logger.info('waiting for DAGMan to finish')
            lockfilename = '%s.lock' % dagfilename
            while os.path.exists(lockfilename):
                time.sleep(5)
