def enrich_job(self, job_data, job_id):
running = PydioScheduler.Instance().is_job_running(job_id)
job_data['running'] = running
logger = EventLogger(JobsLoader.Instance().build_job_data_path(job_id))
last_events = logger.get_all(1, 0)
if len(last_events):
job_data['last_event'] = last_events.pop()
if running:
job_data['state'] = PydioScheduler.Instance().get_job_progress(job_id)
def enrich_job(self, job_data, job_id):
running = PydioScheduler.Instance().is_job_running(job_id)
job_data['running'] = running
logger = EventLogger(JobsLoader.Instance().build_job_data_path(job_id))
last_events = logger.get_all(1, 0)
if len(last_events):
job_data['last_event'] = last_events.pop()
if running:
job_data['state'] = PydioScheduler.Instance().get_job_progress(
job_id)
def enrich_job(self, job_data, job_id, get_notification=False):
running = PydioScheduler.Instance().is_job_running(job_id)
job_data['running'] = running
logger = EventLogger(JobsLoader.Instance().build_job_data_path(job_id))
if get_notification:
notification = logger.consume_notification()
if notification:
job_data['notification'] = notification
last_events = logger.get_all(1, 0)
if len(last_events):
job_data['last_event'] = last_events.pop()
if running:
job_data['state'] = PydioScheduler.Instance().get_job_progress(job_id)
def get(self, job_id):
if not job_id in JobsLoader.Instance().get_jobs():
return "Can't find any job config with this ID.", 404
logger = EventLogger(JobsLoader.Instance().build_job_data_path(job_id))
if not request.args:
logs = logger.get_all(20,0)
else:
filter = request.args.keys()[0]
filter_parameter = request.args.get(filter)
logs = logger.filter(filter, filter_parameter)
tasks = PydioScheduler.Instance().get_job_progress(job_id)
return {"logs":logs, "running":tasks}
def get(self, job_id):
if not job_id in JobsLoader.Instance().get_jobs():
return "Can't find any job config with this ID.", 404
logger = EventLogger(JobsLoader.Instance().build_job_data_path(job_id))
if not request.args:
logs = logger.get_all(20, 0)
else:
filter = request.args.keys()[0]
filter_parameter = request.args.get(filter)
logs = logger.filter(filter, filter_parameter)
tasks = PydioScheduler.Instance().get_job_progress(job_id)
return {"logs": logs, "running": tasks}
def enrich_job(self, job_data, job_id, get_notification=False):
running = PydioScheduler.Instance().is_job_running(job_id)
job_data['running'] = running
logger = EventLogger(JobsLoader.Instance().build_job_data_path(job_id))
if get_notification:
notification = logger.consume_notification()
if notification:
job_data['notification'] = notification
last_events = logger.get_all(1, 0)
if len(last_events):
job_data['last_event'] = last_events.pop()
if running:
job_data['state'] = PydioScheduler.Instance().get_job_progress(
job_id)
