# Path: ndscheduler/corescheduler/constants.py
# DEFAULT_JOBS_TABLENAME = 'scheduler_jobs'
# DEFAULT_EXECUTIONS_TABLENAME = 'scheduler_execution'
# DEFAULT_AUDIT_LOGS_TABLENAME = 'scheduler_jobauditlog'
# DEFAULT_THREAD_POOL_SIZE = 4
# DEFAULT_JOB_MAX_INSTANCES = 3
# DEFAULT_JOB_COALESCE = True
# DEFAULT_TIMEZONE = 'UTC'
# DEFAULT_JOB_MISFIRE_GRACE_SEC = 3600
# JOB_ARGS = 5
# EXECUTION_STATUS_SCHEDULED = 0
# EXECUTION_STATUS_RUNNING = 1
# EXECUTION_STATUS_STOPPING = 2
# EXECUTION_STATUS_STOPPED = 3
# EXECUTION_STATUS_FAILED = 4
# EXECUTION_STATUS_SUCCEEDED = 5
# EXECUTION_STATUS_TIMEOUT = 6
# EXECUTION_STATUS_SCHEDULED_ERROR = 7
# EXECUTION_STATUS_DICT = {
#     EXECUTION_STATUS_SCHEDULED: 'scheduled',
#     EXECUTION_STATUS_RUNNING: 'running',
#     EXECUTION_STATUS_STOPPING: 'stopping',
#     EXECUTION_STATUS_STOPPED: 'stopped',
#     EXECUTION_STATUS_FAILED: 'failed',
#     EXECUTION_STATUS_SUCCEEDED: 'succeeded',
#     EXECUTION_STATUS_TIMEOUT: 'timeout',
#     EXECUTION_STATUS_SCHEDULED_ERROR: 'scheduled error'
# }
# AUDIT_LOG_ADDED = 0
# AUDIT_LOG_MODIFIED = 1
# AUDIT_LOG_DELETED = 2
# AUDIT_LOG_PAUSED = 3
# AUDIT_LOG_RESUMED = 4
# AUDIT_LOG_CUSTOM_RUN = 5
# AUDIT_LOG_DICT = {
#     AUDIT_LOG_ADDED: 'added',
#     AUDIT_LOG_MODIFIED: 'modified',
#     AUDIT_LOG_DELETED: 'deleted',
#     AUDIT_LOG_PAUSED: 'paused',
#     AUDIT_LOG_RESUMED: 'resumed',
#     AUDIT_LOG_CUSTOM_RUN: 'custom_run'
# }
# 
# Path: ndscheduler/corescheduler/utils.py
# def import_from_path(path):
# def get_current_datetime():
# def get_job_name(job):
# def get_job_args(job):
# def get_job_kwargs(job):
# def get_cron_strings(job):
# def generate_uuid():
# def get_stacktrace():
# def get_hostname():
# def get_pid():
# def get_datastore_instance(datastore_class_path, db_config=None, db_tablenames=None):
# 
# Path: ndscheduler/server/handlers/base.py
# class BaseHandler(tornado.web.RequestHandler):
#     def prepare(self):
#     def get_username(self):


import json
import tornado.concurrent
import tornado.gen
import tornado.web
from ndscheduler.corescheduler import constants
from ndscheduler.corescheduler import utils
from ndscheduler.server.handlers import base

class Handler(base.BaseHandler):

    def _get_jobs(self):
        """Returns a dictionary for all jobs info.

        It's a blocking operation.
        """
        jobs = self.scheduler_manager.get_jobs()
        return_json = []
        for job in jobs:
            return_json.append(self._build_job_dict(job))
        return {'jobs': return_json}

    def _build_job_dict(self, job):
        """Transforms apscheduler's job structure to a python dictionary.

        :param Job job: An apscheduler.job.Job instance.
        :return: dictionary for job info
        :rtype: dict
        """
        if job.next_run_time:
            next_run_time = job.next_run_time.isoformat()
        else:
            next_run_time = ''
        return_dict = {
            'job_id': job.id,
            'name': job.name,
            'next_run_time': next_run_time,
            'job_class_string': utils.get_job_name(job),

# Path: ndscheduler/corescheduler/constants.py
# DEFAULT_JOBS_TABLENAME = 'scheduler_jobs'
# DEFAULT_EXECUTIONS_TABLENAME = 'scheduler_execution'
# DEFAULT_AUDIT_LOGS_TABLENAME = 'scheduler_jobauditlog'
# DEFAULT_THREAD_POOL_SIZE = 4
# DEFAULT_JOB_MAX_INSTANCES = 3
# DEFAULT_JOB_COALESCE = True
# DEFAULT_TIMEZONE = 'UTC'
# DEFAULT_JOB_MISFIRE_GRACE_SEC = 3600
# JOB_ARGS = 5
# EXECUTION_STATUS_SCHEDULED = 0
# EXECUTION_STATUS_RUNNING = 1
# EXECUTION_STATUS_STOPPING = 2
# EXECUTION_STATUS_STOPPED = 3
# EXECUTION_STATUS_FAILED = 4
# EXECUTION_STATUS_SUCCEEDED = 5
# EXECUTION_STATUS_TIMEOUT = 6
# EXECUTION_STATUS_SCHEDULED_ERROR = 7
# EXECUTION_STATUS_DICT = {
#     EXECUTION_STATUS_SCHEDULED: 'scheduled',
#     EXECUTION_STATUS_RUNNING: 'running',
#     EXECUTION_STATUS_STOPPING: 'stopping',
#     EXECUTION_STATUS_STOPPED: 'stopped',
#     EXECUTION_STATUS_FAILED: 'failed',
#     EXECUTION_STATUS_SUCCEEDED: 'succeeded',
#     EXECUTION_STATUS_TIMEOUT: 'timeout',
#     EXECUTION_STATUS_SCHEDULED_ERROR: 'scheduled error'
# }
# AUDIT_LOG_ADDED = 0
# AUDIT_LOG_MODIFIED = 1
# AUDIT_LOG_DELETED = 2
# AUDIT_LOG_PAUSED = 3
# AUDIT_LOG_RESUMED = 4
# AUDIT_LOG_CUSTOM_RUN = 5
# AUDIT_LOG_DICT = {
#     AUDIT_LOG_ADDED: 'added',
#     AUDIT_LOG_MODIFIED: 'modified',
#     AUDIT_LOG_DELETED: 'deleted',
#     AUDIT_LOG_PAUSED: 'paused',
#     AUDIT_LOG_RESUMED: 'resumed',
#     AUDIT_LOG_CUSTOM_RUN: 'custom_run'
# }
# 
# Path: ndscheduler/corescheduler/utils.py
# def import_from_path(path):
# def get_current_datetime():
# def get_job_name(job):
# def get_job_args(job):
# def get_job_kwargs(job):
# def get_cron_strings(job):
# def generate_uuid():
# def get_stacktrace():
# def get_hostname():
# def get_pid():
# def get_datastore_instance(datastore_class_path, db_config=None, db_tablenames=None):
# 
# Path: ndscheduler/server/handlers/base.py
# class BaseHandler(tornado.web.RequestHandler):
#     def prepare(self):
#     def get_username(self):


# Path: ndscheduler/server/handlers/jobs.py
import json
import tornado.concurrent
import tornado.gen
import tornado.web
from ndscheduler.corescheduler import constants
from ndscheduler.corescheduler import utils
from ndscheduler.server.handlers import base


class Handler(base.BaseHandler):

    def _get_jobs(self):
        """Returns a dictionary for all jobs info.

        It's a blocking operation.
        """
        jobs = self.scheduler_manager.get_jobs()
        return_json = []
        for job in jobs:
            return_json.append(self._build_job_dict(job))
        return {'jobs': return_json}

    def _build_job_dict(self, job):
        """Transforms apscheduler's job structure to a python dictionary.

        :param Job job: An apscheduler.job.Job instance.
        :return: dictionary for job info
        :rtype: dict
        """
        if job.next_run_time:
            next_run_time = job.next_run_time.isoformat()
        else:
            next_run_time = ''
        return_dict = {
            'job_id': job.id,
            'name': job.name,
            'next_run_time': next_run_time,
            'job_class_string': utils.get_job_name(job),

            'pub_args': utils.get_job_args(job)}