# -*- coding: utf-8 -*-
'''
Scheduling routines are located here. To activate the scheduler make the
schedule option available to the master or minion configurations (master config
file or for the minion via config or pillar)

.. code-block:: yaml

    schedule:
      job1:
        function: state.sls
        seconds: 3600
        args:
          - httpd
        kwargs:
          test: True

This will schedule the command: state.sls httpd test=True every 3600 seconds
(every hour)

.. code-block:: yaml

    schedule:
      job1:
        function: state.sls
        seconds: 3600
        args:
          - httpd
        kwargs:
          test: True
        splay: 15

This will schedule the command: state.sls httpd test=True every 3600 seconds
(every hour) splaying the time between 0 and 15 seconds

.. code-block:: yaml

    schedule:
      job1:
        function: state.sls
        seconds: 3600
        args:
          - httpd
        kwargs:
          test: True
        splay:
          start: 10
          end: 15

This will schedule the command: state.sls httpd test=True every 3600 seconds
(every hour) splaying the time between 10 and 15 seconds

.. versionadded:: 2014.7.0

Frequency of jobs can also be specified using date strings supported by
the python dateutil library.

.. code-block:: yaml

    schedule:
      job1:
        function: state.sls
        args:
          - httpd
        kwargs:
          test: True
        when: 5:00pm

This will schedule the command: state.sls httpd test=True at 5:00pm minion
localtime.

.. code-block:: yaml

    schedule:
      job1:
        function: state.sls
        args:
          - httpd
        kwargs:
          test: True
        when:
            - Monday 5:00pm
            - Tuesday 3:00pm
            - Wednesday 5:00pm
            - Thursday 3:00pm
            - Friday 5:00pm

This will schedule a job to run once on the specified date. The default date
format is ISO 8601 but can be overridden by also specifying the ``once_fmt``
option.

.. code-block:: yaml

    schedule:
      job1:
        function: test.ping
        once: 2015-04-22T20:21:00
        once_fmt: '%Y-%m-%dT%H:%M:%S'

This will schedule the command: state.sls httpd test=True at 5pm on Monday,
Wednesday and Friday, and 3pm on Tuesday and Thursday.

.. code-block:: yaml

    schedule:
      job1:
        function: state.sls
        seconds: 3600
        args:
          - httpd
        kwargs:
          test: True
        range:
            start: 8:00am
            end: 5:00pm

This will schedule the command: state.sls httpd test=True every 3600 seconds
(every hour) between the hours of 8am and 5pm.  The range parameter must be a
dictionary with the date strings using the dateutil format.

.. versionadded:: 2014.7.0

.. code-block:: yaml

    schedule:
      job1:
        function: state.sls
        seconds: 3600
        args:
          - httpd
        kwargs:
          test: True
        range:
            invert: True
            start: 8:00am
            end: 5:00pm

Using the invert option for range, this will schedule the command: state.sls
httpd test=True every 3600 seconds (every hour) until the current time is
between the hours of 8am and 5pm.  The range parameter must be a dictionary
with the date strings using the dateutil format.

By default any job scheduled based on the startup time of the minion will run
the scheduled job when the minion starts up.  Sometimes this is not the desired
situation.  Using the 'run_on_start' parameter set to False will cause the
scheduler to skip this first run and wait until the next scheduled run.

.. versionadded:: 2015.5.0

.. code-block:: yaml

    schedule:
      job1:
        function: state.sls
        seconds: 3600
        run_on_start: False
        args:
          - httpd
        kwargs:
          test: True

.. versionadded:: 2014.7.0

.. code-block:: yaml

    schedule:
      job1:
        function: state.sls
        cron: '*/15 * * * *'
        args:
          - httpd
        kwargs:
          test: True

The scheduler also supports scheduling jobs using a cron like format.  This requires the
python-croniter library.

The scheduler also supports ensuring that there are no more than N copies of
a particular routine running.  Use this for jobs that may be long-running
and could step on each other or pile up in case of infrastructure outage.

The default for maxrunning is 1.

.. code-block:: yaml

    schedule:
      long_running_job:
          function: big_file_transfer
          jid_include: True
          maxrunning: 1

By default, data about jobs runs from the Salt scheduler is returned to the
master.  Setting the ``return_job`` parameter to False will prevent the data
from being sent back to the Salt master.

.. versionadded:: 2015.5.0

    schedule:
      job1:
          function: scheduled_job_function
          return_job: False

It can be useful to include specific data to differentiate a job from other
jobs.  Using the metadata parameter special values can be associated with
a scheduled job.  These values are not used in the execution of the job,
but can be used to search for specific jobs later if combined with the
return_job parameter.  The metadata parameter must be specified as a
dictionary, othewise it will be ignored.

.. versionadded:: 2015.5.0

    schedule:
      job1:
          function: scheduled_job_function
          metadata:
            foo: bar

'''
from __future__ import absolute_import

# Import python libs
import os
import time
import datetime
import itertools
import multiprocessing
import threading
import sys
import logging
import errno
import random

try:
    import dateutil.parser as dateutil_parser
    _WHEN_SUPPORTED = True
    _RANGE_SUPPORTED = True
except ImportError:
    _WHEN_SUPPORTED = False
    _RANGE_SUPPORTED = False

try:
    import croniter
    _CRON_SUPPORTED = True
except ImportError:
    _CRON_SUPPORTED = False
import yaml

# Import Salt libs
import salt.utils
import salt.utils.process
import salt.utils.args
from salt.utils.odict import OrderedDict
from salt.utils.process import os_is_running
import salt.payload
import salt.syspaths

log = logging.getLogger(__name__)


class Schedule(object):
    '''
    Create a Schedule object, pass in the opts and the functions dict to use
    '''
    def __init__(self, opts, functions, returners=None, intervals=None):
        self.opts = opts
        self.functions = functions
        if isinstance(intervals, dict):
            self.intervals = intervals
        else:
            self.intervals = {}
        if hasattr(returners, '__getitem__'):
            self.returners = returners
        else:
            self.returners = returners.loader.gen_functions()
        self.time_offset = self.functions.get('timezone.get_offset', lambda: '0000')()
        self.schedule_returner = self.option('schedule_returner')
        # Keep track of the lowest loop interval needed in this variable
        self.loop_interval = sys.maxint
        clean_proc_dir(opts)

    def option(self, opt):
        '''
        Return the schedule data structure
        '''
        if 'config.merge' in self.functions:
            return self.functions['config.merge'](opt, {}, omit_master=True)
        return self.opts.get(opt, {})

    def persist(self):
        '''
        Persist the modified schedule into <<configdir>>/minion.d/_schedule.conf
        '''
        schedule_conf = os.path.join(
                salt.syspaths.CONFIG_DIR,
                'minion.d',
                '_schedule.conf')
        try:
            with salt.utils.fopen(schedule_conf, 'wb+') as fp_:
                fp_.write(yaml.dump({'schedule': self.opts['schedule']}))
        except (IOError, OSError):
            log.error('Failed to persist the updated schedule')

    def delete_job(self, name, where=None):
        '''
        Deletes a job from the scheduler.
        '''
        if where is None or where != 'pillar':
            # ensure job exists, then delete it
            if name in self.opts['schedule']:
                del self.opts['schedule'][name]
        else:
            # If job is in pillar, delete it there too
            if 'schedule' in self.opts['pillar']:
                if name in self.opts['pillar']['schedule']:
                    del self.opts['pillar']['schedule'][name]

        # remove from self.intervals
        if name in self.intervals:
            del self.intervals[name]

    def add_job(self, data):
        '''
        Adds a new job to the scheduler. The format is the same as required in
        the configuration file. See the docs on how YAML is interpreted into
        python data-structures to make sure, you pass correct dictionaries.
        '''

        # we don't do any checking here besides making sure its a dict.
        # eval() already does for us and raises errors accordingly
        if not isinstance(data, dict):
            raise ValueError('Scheduled jobs have to be of type dict.')
        if not len(data) == 1:
            raise ValueError('You can only schedule one new job at a time.')

        new_job = next(data.iterkeys())

        if new_job in self.opts['schedule']:
            log.info('Updating job settings for scheduled '
                     'job: {0}'.format(new_job))
        else:
            log.info('Added new job {0} to scheduler'.format(new_job))
        self.opts['schedule'].update(data)
        self.persist()

    def enable_job(self, name, where=None):
        '''
        Enable a job in the scheduler.
        '''
        if where == 'pillar':
            self.opts['pillar']['schedule'][name]['enabled'] = True
        else:
            self.opts['schedule'][name]['enabled'] = True
        log.info('Enabling job {0} in scheduler'.format(name))

    def disable_job(self, name, where=None):
        '''
        Disable a job in the scheduler.
        '''
        if where == 'pillar':
            self.opts['pillar']['schedule'][name]['enabled'] = False
        else:
            self.opts['schedule'][name]['enabled'] = False
        log.info('Disabling job {0} in scheduler'.format(name))

    def modify_job(self, name, schedule, where=None):
        '''
        Modify a job in the scheduler.
        '''
        if where == 'pillar':
            if name in self.opts['pillar']['schedule']:
                self.delete_job(name, where=where)
            self.opts['pillar']['schedule'][name] = schedule
        else:
            if name in self.opts['schedule']:
                self.delete_job(name, where=where)
            self.opts['schedule'][name] = schedule

    def run_job(self, name, where=None):
        '''
        Run a schedule job now
        '''
        if where == 'pillar':
            data = self.opts['pillar']['schedule'][name]
        else:
            data = self.opts['schedule'][name]

        if 'function' in data:
            func = data['function']
        elif 'func' in data:
            func = data['func']
        elif 'fun' in data:
            func = data['fun']
        else:
            func = None
        if func not in self.functions:
            log.info(
                'Invalid function: {0} in job {1}. Ignoring.'.format(
                    func, name
                )
            )
        else:
            if 'name' not in data:
                data['name'] = name
            log.info(
                'Running Job: {0}.'.format(name)
            )
            if self.opts.get('multiprocessing', True):
                thread_cls = multiprocessing.Process
            else:
                thread_cls = threading.Thread
            proc = thread_cls(target=self.handle_func, args=(func, data))
            proc.start()
            if self.opts.get('multiprocessing', True):
                proc.join()

    def enable_schedule(self):
        '''
        Enable the scheduler.
        '''
        self.opts['schedule']['enabled'] = True

    def disable_schedule(self):
        '''
        Disable the scheduler.
        '''
        self.opts['schedule']['enabled'] = False

    def reload(self, schedule):
        '''
        Reload the schedule from saved schedule file.
        '''

        # Remove all jobs from self.intervals
        self.intervals = {}

        if 'schedule' in self.opts:
            if 'schedule' in schedule:
                self.opts['schedule'].update(schedule['schedule'])
            else:
                self.opts['schedule'].update(schedule)
        else:
            self.opts['schedule'] = schedule

    def handle_func(self, func, data):
        '''
        Execute this method in a multiprocess or thread
        '''
        if salt.utils.is_windows():
            self.functions = salt.loader.minion_mods(self.opts)
            self.returners = salt.loader.returners(self.opts, self.functions)
        ret = {'id': self.opts.get('id', 'master'),
               'fun': func,
               'schedule': data['name'],
               'jid': '{0:%Y%m%d%H%M%S%f}'.format(datetime.datetime.now())}

        if 'metadata' in data:
            if isinstance(data['metadata'], dict):
                ret['metadata'] = data['metadata']
                ret['metadata']['_TOS'] = self.time_offset
                ret['metadata']['_TS'] = time.ctime()
                ret['metadata']['_TT'] = time.strftime('%Y %B %d %a %H %m', time.gmtime())
            else:
                log.warning('schedule: The metadata parameter must be '
                            'specified as a dictionary.  Ignoring.')

        salt.utils.appendproctitle(ret['jid'])

        proc_fn = os.path.join(
            salt.minion.get_proc_dir(self.opts['cachedir']),
            ret['jid']
        )

        # Check to see if there are other jobs with this
        # signature running.  If there are more than maxrunning
        # jobs present then don't start another.
        # If jid_include is False for this job we can ignore all this
        # NOTE--jid_include defaults to True, thus if it is missing from the data
        # dict we treat it like it was there and is True
        if 'jid_include' not in data or data['jid_include']:
            jobcount = 0
            for basefilename in os.listdir(salt.minion.get_proc_dir(self.opts['cachedir'])):
                fn_ = os.path.join(salt.minion.get_proc_dir(self.opts['cachedir']), basefilename)
                if not os.path.exists(fn_):
                    log.debug('schedule.handle_func: {0} was processed '
                              'in another thread, skipping.'.format(
                                  basefilename))
                    continue
                with salt.utils.fopen(fn_, 'rb') as fp_:
                    job = salt.payload.Serial(self.opts).load(fp_)
                    if job:
                        if 'schedule' in job:
                            log.debug('schedule.handle_func: Checking job against '
                                      'fun {0}: {1}'.format(ret['fun'], job))
                            if ret['schedule'] == job['schedule'] and os_is_running(job['pid']):
                                jobcount += 1
                                log.debug(
                                    'schedule.handle_func: Incrementing jobcount, now '
                                    '{0}, maxrunning is {1}'.format(
                                        jobcount, data['maxrunning']))
                                if jobcount >= data['maxrunning']:
                                    log.debug(
                                        'schedule.handle_func: The scheduled job {0} '
                                        'was not started, {1} already running'.format(
                                            ret['schedule'], data['maxrunning']))
                                    return False
                    else:
                        try:
                            log.info('Invalid job file found.  Removing.')
                            os.remove(fn_)
                        except OSError:
                            log.info('Unable to remove file: {0}.'.format(fn_))

        salt.utils.daemonize_if(self.opts)

        ret['pid'] = os.getpid()

        if 'jid_include' not in data or data['jid_include']:
            log.debug('schedule.handle_func: adding this job to the jobcache '
                      'with data {0}'.format(ret))
            # write this to /var/cache/salt/minion/proc
            with salt.utils.fopen(proc_fn, 'wb+') as fp_:
                fp_.write(salt.payload.Serial(self.opts).dumps(ret))

        args = tuple()
        if 'args' in data:
            args = data['args']

        kwargs = {}
        if 'kwargs' in data:
            kwargs = data['kwargs']
        # if the func support **kwargs, lets pack in the pub data we have
        # TODO: pack the *same* pub data as a minion?
        argspec = salt.utils.args.get_function_argspec(self.functions[func])
        if argspec.keywords:
            # this function accepts **kwargs, pack in the publish data
            for key, val in ret.iteritems():
                kwargs['__pub_{0}'.format(key)] = val

        try:
            ret['return'] = self.functions[func](*args, **kwargs)

            data_returner = data.get('returner', None)
            if data_returner or self.schedule_returner:
                if 'returner_config' in data:
                    ret['ret_config'] = data['returner_config']
                rets = []
                for returner in [data_returner, self.schedule_returner]:
                    if isinstance(returner, str):
                        rets.append(returner)
                    elif isinstance(returner, list):
                        rets.extend(returner)
                # simple de-duplication with order retained
                for returner in OrderedDict.fromkeys(rets):
                    ret_str = '{0}.returner'.format(returner)
                    if ret_str in self.returners:
                        ret['success'] = True
                        self.returners[ret_str](ret)
                    else:
                        log.info(
                            'Job {0} using invalid returner: {1}. Ignoring.'.format(
                                func, returner
                            )
                        )

            if 'return_job' in data and not data['return_job']:
                pass
            else:
                # Send back to master so the job is included in the job list
                mret = ret.copy()
                mret['jid'] = 'req'
                channel = salt.transport.Channel.factory(self.opts, usage='salt_schedule')
                load = {'cmd': '_return', 'id': self.opts['id']}
                for key, value in mret.items():
                    load[key] = value
                channel.send(load)

        except Exception:
            log.exception("Unhandled exception running {0}".format(ret['fun']))
            # Although catch-all exception handlers are bad, the exception here
            # is to let the exception bubble up to the top of the thread context,
            # where the thread will die silently, which is worse.
        finally:
            try:
                os.unlink(proc_fn)
            except OSError as exc:
                if exc.errno == errno.EEXIST or exc.errno == errno.ENOENT:
                    # EEXIST and ENOENT are OK because the file is gone and that's what
                    # we wanted
                    pass
                else:
                    log.error("Failed to delete '{0}': {1}".format(proc_fn, exc.errno))
                    # Otherwise, failing to delete this file is not something
                    # we can cleanly handle.
                    raise

    def eval(self):
        '''
        Evaluate and execute the schedule
        '''
        schedule = self.option('schedule')
        if not isinstance(schedule, dict):
            raise ValueError('Schedule must be of type dict.')
        if 'enabled' in schedule and not schedule['enabled']:
            return
        for job, data in schedule.items():
            if job == 'enabled' or not data:
                continue
            if not isinstance(data, dict):
                log.error('Scheduled job "{0}" should have a dict value, not {1}'.format(job, type(data)))
                continue
            # Job is disabled, continue
            if 'enabled' in data and not data['enabled']:
                continue
            if 'function' in data:
                func = data['function']
            elif 'func' in data:
                func = data['func']
            elif 'fun' in data:
                func = data['fun']
            else:
                func = None
            if func not in self.functions:
                log.info(
                    'Invalid function: {0} in job {1}. Ignoring.'.format(
                        func, job
                    )
                )
                continue
            if 'name' not in data:
                data['name'] = job
            # Add up how many seconds between now and then
            when = 0
            seconds = 0
            cron = 0
            now = int(time.time())

            # Used for quick lookups when detecting invalid option combinations.
            schedule_keys = set(data.keys())

            time_elements = ('seconds', 'minutes', 'hours', 'days')
            scheduling_elements = ('when', 'cron', 'once')

            invalid_sched_combos = [set(i)
                    for i in itertools.combinations(scheduling_elements, 2)]

            if any(i <= schedule_keys for i in invalid_sched_combos):
                log.error('Unable to use "{0}" options together. Ignoring.'
                        .format('", "'.join(scheduling_elements)))
                continue

            invalid_time_combos = []
            for item in scheduling_elements:
                all_items = itertools.chain([item], time_elements)
                invalid_time_combos.append(
                    set(itertools.combinations(all_items, 2)))

            if any(set(x) <= schedule_keys for x in invalid_time_combos):
                log.error('Unable to use "{0}" with "{1}" options. Ignoring'
                        .format('", "'.join(time_elements),
                            '", "'.join(scheduling_elements)))
                continue

            if True in [True for item in time_elements if item in data]:
                # Add up how many seconds between now and then
                seconds += int(data.get('seconds', 0))
                seconds += int(data.get('minutes', 0)) * 60
                seconds += int(data.get('hours', 0)) * 3600
                seconds += int(data.get('days', 0)) * 86400
            elif 'once' in data:
                once_fmt = data.get('once_fmt', '%Y-%m-%dT%H:%M:%S')

                try:
                    once = datetime.datetime.strptime(data['once'], once_fmt)
                    once = int(time.mktime(once.timetuple()))
                except (TypeError, ValueError):
                    log.error('Date string could not be parsed: %s, %s',
                            data['once'], once_fmt)
                    continue

                if now != once:
                    continue
                else:
                    seconds = 1

            elif 'when' in data:
                if not _WHEN_SUPPORTED:
                    log.error('Missing python-dateutil.'
                              'Ignoring job {0}'.format(job))
                    continue

                if isinstance(data['when'], list):
                    _when = []
                    for i in data['when']:
                        if ('whens' in self.opts['pillar'] and
                                i in self.opts['pillar']['whens']):
                            if not isinstance(self.opts['pillar']['whens'],
                                              dict):
                                log.error('Pillar item "whens" must be dict.'
                                          'Ignoring')
                                continue
                            __when = self.opts['pillar']['whens'][i]
                            try:
                                when__ = dateutil_parser.parse(__when)
                            except ValueError:
                                log.error('Invalid date string. Ignoring')
                                continue
                        elif ('whens' in self.opts['grains'] and
                              i in self.opts['grains']['whens']):
                            if not isinstance(self.opts['grains']['whens'],
                                              dict):
                                log.error('Grain "whens" must be dict.'
                                          'Ignoring')
                                continue
                            __when = self.opts['grains']['whens'][i]
                            try:
                                when__ = dateutil_parser.parse(__when)
                            except ValueError:
                                log.error('Invalid date string. Ignoring')
                                continue
                        else:
                            try:
                                when__ = dateutil_parser.parse(i)
                            except ValueError:
                                log.error('Invalid date string {0}.'
                                          'Ignoring job {1}.'.format(i, job))
                                continue
                        when = int(time.mktime(when__.timetuple()))
                        if when >= now:
                            _when.append(when)
                    _when.sort()
                    if _when:
                        # Grab the first element
                        # which is the next run time
                        when = _when[0]

                        # If we're switching to the next run in a list
                        # ensure the job can run
                        if '_when' in data and data['_when'] != when:
                            data['_when_run'] = True
                            data['_when'] = when
                        seconds = when - now

                        # scheduled time is in the past
                        if seconds < 0:
                            continue

                        if '_when_run' not in data:
                            data['_when_run'] = True

                        # Backup the run time
                        if '_when' not in data:
                            data['_when'] = when

                        # A new 'when' ensure _when_run is True
                        if when > data['_when']:
                            data['_when'] = when
                            data['_when_run'] = True

                    else:
                        continue

                else:
                    if ('whens' in self.opts['pillar'] and
                            data['when'] in self.opts['pillar']['whens']):
                        if not isinstance(self.opts['pillar']['whens'], dict):
                            log.error('Pillar item "whens" must be dict.'
                                      'Ignoring')
                            continue
                        _when = self.opts['pillar']['whens'][data['when']]
                        try:
                            when__ = dateutil_parser.parse(_when)
                        except ValueError:
                            log.error('Invalid date string. Ignoring')
                            continue
                    elif ('whens' in self.opts['grains'] and
                          data['when'] in self.opts['grains']['whens']):
                        if not isinstance(self.opts['grains']['whens'], dict):
                            log.error('Grain "whens" must be dict. Ignoring')
                            continue
                        _when = self.opts['grains']['whens'][data['when']]
                        try:
                            when__ = dateutil_parser.parse(_when)
                        except ValueError:
                            log.error('Invalid date string. Ignoring')
                            continue
                    else:
                        try:
                            when__ = dateutil_parser.parse(data['when'])
                        except ValueError:
                            log.error('Invalid date string. Ignoring')
                            continue
                    when = int(time.mktime(when__.timetuple()))
                    now = int(time.time())
                    seconds = when - now

                    # scheduled time is in the past
                    if seconds < 0:
                        continue

                    if '_when_run' not in data:
                        data['_when_run'] = True

                    # Backup the run time
                    if '_when' not in data:
                        data['_when'] = when

                    # A new 'when' ensure _when_run is True
                    if when > data['_when']:
                        data['_when'] = when
                        data['_when_run'] = True

            elif 'cron' in data:
                if not _CRON_SUPPORTED:
                    log.error('Missing python-croniter. Ignoring job {0}'.format(job))
                    continue

                now = int(time.mktime(datetime.datetime.now().timetuple()))
                try:
                    cron = int(croniter.croniter(data['cron'], now).get_next())
                except (ValueError, KeyError):
                    log.error('Invalid cron string. Ignoring')
                    continue
                seconds = cron - now
            else:
                continue

            # Check if the seconds variable is lower than current lowest
            # loop interval needed. If it is lower than overwrite variable
            # external loops using can then check this variable for how often
            # they need to reschedule themselves
            # Not used with 'when' parameter, causes run away jobs and CPU
            # spikes.
            if 'when' not in data:
                if seconds < self.loop_interval:
                    self.loop_interval = seconds
            run = False

            if 'splay' in data:
                if 'when' in data:
                    log.error('Unable to use "splay" with "when" option at this time. Ignoring.')
                elif 'cron' in data:
                    log.error('Unable to use "splay" with "cron" option at this time. Ignoring.')
                else:
                    if '_seconds' not in data:
                        log.debug('The _seconds parameter is missing, '
                                  'most likely the first run or the schedule '
                                  'has been refreshed refresh.')
                        if 'seconds' in data:
                            data['_seconds'] = data['seconds']
                        else:
                            data['_seconds'] = 0

            if job in self.intervals:
                if 'when' in data:
                    if seconds == 0:
                        if data['_when_run']:
                            data['_when_run'] = False
                            run = True
                elif 'cron' in data:
                    if seconds == 1:
                        run = True
                else:
                    if now - self.intervals[job] >= seconds:
                        run = True
            else:
                if 'when' in data:
                    if seconds == 0:
                        if data['_when_run']:
                            data['_when_run'] = False
                            run = True
                elif 'cron' in data:
                    if seconds == 1:
                        run = True
                else:
                    # If run_on_start is True, the job will run when the Salt
                    # minion start.  If the value is False will run at the next
                    # scheduled run.  Default is True.
                    if 'run_on_start' in data:
                        if data['run_on_start']:
                            run = True
                        else:
                            self.intervals[job] = int(time.time())
                    else:
                        run = True

            if run:
                if 'range' in data:
                    if not _RANGE_SUPPORTED:
                        log.error('Missing python-dateutil. Ignoring job {0}'.format(job))
                        continue
                    else:
                        if isinstance(data['range'], dict):
                            try:
                                start = int(time.mktime(dateutil_parser.parse(data['range']['start']).timetuple()))
                            except ValueError:
                                log.error('Invalid date string for start. Ignoring job {0}.'.format(job))
                                continue
                            try:
                                end = int(time.mktime(dateutil_parser.parse(data['range']['end']).timetuple()))
                            except ValueError:
                                log.error('Invalid date string for end. Ignoring job {0}.'.format(job))
                                continue
                            if end > start:
                                if 'invert' in data['range'] and data['range']['invert']:
                                    if now <= start or now >= end:
                                        run = True
                                    else:
                                        run = False
                                else:
                                    if now >= start and now <= end:
                                        run = True
                                    else:
                                        run = False
                            else:
                                log.error('schedule.handle_func: Invalid range, end must be larger than start. \
                                         Ignoring job {0}.'.format(job))
                                continue
                        else:
                            log.error('schedule.handle_func: Invalid, range must be specified as a dictionary. \
                                     Ignoring job {0}.'.format(job))
                            continue

            if not run:
                continue
            else:
                if 'splay' in data:
                    if 'when' in data:
                        log.error('Unable to use "splay" with "when" option at this time. Ignoring.')
                    else:
                        if isinstance(data['splay'], dict):
                            if data['splay']['end'] >= data['splay']['start']:
                                splay = random.randint(data['splay']['start'], data['splay']['end'])
                            else:
                                log.error('schedule.handle_func: Invalid Splay, end must be larger than start. \
                                         Ignoring splay.')
                                splay = None
                        else:
                            splay = random.randint(0, data['splay'])

                        if splay:
                            log.debug('schedule.handle_func: Adding splay of '
                                      '{0} seconds to next run.'.format(splay))
                            if 'seconds' in data:
                                data['seconds'] = data['_seconds'] + splay
                            else:
                                data['seconds'] = 0 + splay

                log.info('Running scheduled job: {0}'.format(job))

            if 'jid_include' not in data or data['jid_include']:
                data['jid_include'] = True
                log.debug('schedule: This job was scheduled with jid_include, '
                          'adding to cache (jid_include defaults to True)')
                if 'maxrunning' in data:
                    log.debug('schedule: This job was scheduled with a max '
                              'number of {0}'.format(data['maxrunning']))
                else:
                    log.info('schedule: maxrunning parameter was not specified for '
                             'job {0}, defaulting to 1.'.format(job))
                    data['maxrunning'] = 1

            try:
                if self.opts.get('multiprocessing', True):
                    thread_cls = multiprocessing.Process
                else:
                    thread_cls = threading.Thread
                proc = thread_cls(target=self.handle_func, args=(func, data))
                proc.start()
                if self.opts.get('multiprocessing', True):
                    proc.join()
            finally:
                self.intervals[job] = now


def clean_proc_dir(opts):

    '''
    Loop through jid files in the minion proc directory (default /var/cache/salt/minion/proc)
    and remove any that refer to processes that no longer exist
    '''

    for basefilename in os.listdir(salt.minion.get_proc_dir(opts['cachedir'])):
        fn_ = os.path.join(salt.minion.get_proc_dir(opts['cachedir']), basefilename)
        with salt.utils.fopen(fn_, 'rb') as fp_:
            job = None
            try:
                job = salt.payload.Serial(opts).load(fp_)
            except Exception:  # It's corrupted
                # Windows cannot delete an open file
                if salt.utils.is_windows():
                    fp_.close()
                try:
                    os.unlink(fn_)
                    continue
                except OSError:
                    continue
            log.debug('schedule.clean_proc_dir: checking job {0} for process '
                      'existence'.format(job))
            if job is not None and 'pid' in job:
                if salt.utils.process.os_is_running(job['pid']):
                    log.debug('schedule.clean_proc_dir: Cleaning proc dir, '
                              'pid {0} still exists.'.format(job['pid']))
                else:
                    # Windows cannot delete an open file
                    if salt.utils.is_windows():
                        fp_.close()
                    # Maybe the file is already gone
                    try:
                        os.unlink(fn_)
                    except OSError:
                        pass
