"""CLI functions to run decider, worker and exec processes.""" import argparse from datetime import datetime from datetime import timedelta import json import logging import time import boto3 from garcon import activity from garcon import decider from snowflake_views.config import VIEW_CONFIG from snowflake_views.flow import Flow logger = logging.getLogger('cli') def _is_flow_running(swf_domain, workflow_id): """Check is flow running right now. Args: swf_domain (str): SWF domain name. workflow_id (str): SWF workflow id. Returns: bool: is flow running or not. """ client = boto3.client('swf', region_name='us-east-1') response = client.count_open_workflow_executions( domain=swf_domain, startTimeFilter=dict(oldestDate=(datetime.now() - timedelta(days=10))), executionFilter=dict(workflowId=workflow_id) ) return response['count'] > 0 def _load_views_config(): """Return configuration for views.""" return VIEW_CONFIG def execute_flows(flow, context, **kwargs): """Execute flow for each view in materialized views.""" views_config = _load_views_config() for view_name in views_config.keys(): view_context = json.loads(context) view_context['name'] = view_name execute_flow(flow, view_context, **kwargs) def execute_flow(flow, context, **kwargs): """Launch the workflow execution. Args: flow (object): Garcon flow module. context (dict): Initial context parsed from JSON. output_file (str): Optional path to file to store all args as well as workflow_id and run_id. kwargs: Extensible call API. """ workflow_id = flow.workflow_id(context) if _is_flow_running(flow.domain, workflow_id): logger.info( 'The flow "{}" is already running with workflowId "{}". ' 'Exiting.'.format(flow.name, workflow_id)) return client = boto3.client('swf', region_name='us-east-1') start_kwargs = dict( domain=flow.domain, workflowId=workflow_id, workflowType=dict( name=flow.name, version=flow.version), taskList=dict(name=flow.name), input=json.dumps(context)) if hasattr(flow, 'timeout'): start_kwargs.update(executionStartToCloseTimeout=str(flow.timeout)) return client.start_workflow_execution(**start_kwargs) def run_decider(flow, **kwargs): """Launch the SWF decider process. Args: flow (module): Garcon flow module. """ garcon_decider = decider.DeciderWorker(flow) while True: garcon_decider.run() time.sleep(1) def run_activity_worker(flow, **kwargs): """Launch the activity worker process. Args: flow (module): Garcon flow module. """ garcon_worker = activity.ActivityWorker(flow) garcon_worker.run() _COMMANDS = { 'exec': execute_flows, 'decider': run_decider, 'worker': run_activity_worker} def _parse_run_args(cli_args): """Parse command line run params. Args: tuple: Args for the flow. Returns: argparse.Namespace: Object with parsed arguments. """ parser = argparse.ArgumentParser(description='Garcon command line util') parser.add_argument( 'cmd', choices=_COMMANDS.keys(), help='garcon command') # parser.add_argument( # 'flow', choices=flows.__all__, help='name of the flow') parser.add_argument( '-c', '--context', help='initial context [json]') parser.add_argument( '-l', '--log_level', help='logging level', default='error', choices=['critical', 'error', 'warning', 'info', 'debug']) return parser.parse_args(cli_args) if cli_args else parser.parse_args() def garcon(*args): """Main entry point for the Garcon command line integration. Args: args (tuple): Args for the flow. """ run_args = _parse_run_args(args) logging.basicConfig(level=getattr(logging, run_args.log_level.upper())) flow = Flow() garcon_command = _COMMANDS[run_args.cmd] garcon_command( flow=flow, context=run_args.context or '{}')