"""Application configuration."""

import logging
import os

from dotenv import load_dotenv

# Load env file if it exists
load_dotenv(verbose=True)

# Logger Name
LOGGER_NAME = os.environ.get('LOGGER_NAME', 'swf-workflow-monitor')
LOGGER_LEVEL = logging.INFO
LOGGER_DSN = os.environ.get('LOGGER_DSN') or None

ENVIRONMENT = os.environ.get('Environment', 'dev')
print('The environment is {}'.format(ENVIRONMENT))
if ENVIRONMENT not in ['dev', 'qa', 'prod']:
    raise Exception('The specified environment is not properly named.')

AWS_DEFAULT_REGION = os.environ.get('AWS_DEFAULT_REGION', 'us-east-1')

SENTRY_DSN = os.environ.get('SENTRY_DSN') or None

SWF_MONITOR_DOMAIN = os.environ.get(
    'SWF_MONITOR_DOMAIN', '{}_swf_feed_ingestion'.format(ENVIRONMENT))
"""
SWF_MONITOR_GRACE_PERIOD_SECONDS: A grace period in seconds controlling how
long to wait before killing task if no open workflow executions are found.
This can guard against delays from the SWF API in registering or
returning active executions.
"""
SWF_MONITOR_GRACE_PERIOD_SECONDS = int(
    os.environ.get('SWF_MONITOR_GRACE_PERIOD_SECONDS', 600))
"""
SWF_MONITOR_MAX_RUNNING_DAYS: How many days back to search for active
executions. Executions older than this number of days will be considered
stalled or irrevocably hung, and the fargate task will be killed.
This does not affect, update, or close the SWF execution itself.
"""
SWF_MONITOR_MAX_RUNNING_DAYS = int(
    os.environ.get('SWF_MONITOR_MAX_RUNNING_DAYS', 1))
"""
SWF_MONITOR_TASK_RUNTIME_LIMIT_MINUTES: How long this monitor task can run
before being killed on its own. This is to prevent tasks from running
interminably for erroneous conditions.
"""
SWF_MONITOR_TASK_RUNTIME_LIMIT_MINUTES = int(
    os.environ.get('SWF_MONITOR_TASK_RUNTIME_LIMIT_MINUTES', 10080))
SWF_MONITOR_WORKFLOW_NAME = os.environ.get('SWF_MONITOR_WORKFLOW_NAME')

# Service information
SERVICE_NAME = os.environ.get(
    'SERVICE_NAME', 'swf-workflow-monitor-{}'.format(
        SWF_MONITOR_WORKFLOW_NAME
    )
)
SERVICE_VERSION = '1.0.0'