def run(self):
abort = self.get_abort()
paprika_ds = DatasourceBuilder.build('paprika-ds.json')
connector = ConnectorFactory.create_connector(paprika_ds)
logger = Logger(connector, self)
job_repository = JobRepository(connector)
job = job_repository.job()
job_name = job['job_name']
settings = self.get_settings()
threads = self.get_threads()
while self.is_running():
try:
watcher = self.get_watcher()
watcher.watch(connector, settings, threads, abort)
# check if we need to abort, can be called from the main thread or other thread
aborted = abort.is_aborted()
self.running(not aborted)
connector.close()
time.sleep(settings['watcher_idle_delay'])
except:
aborted = abort.is_aborted()
self.running(not aborted)
result = Traceback.build()
logger.fatal(job_name, result['message'], result['backtrace'])
connector.close()
time.sleep(settings['worker_exception_delay'])
def run(self, stream):
job_name = ''
abort = self.get_abort()
stop = self.get_stop()
settings = self.get_settings()
paprika_ds = DatasourceBuilder.build('paprika-ds.json')
connector = ConnectorFactory.create_connector(paprika_ds)
logger = Logger(connector, self)
job_repository = JobRepository(connector)
job = job_repository.job()
job_name = job['job_name']
logger.trace(job_name, 'worker #' + str(self.get_id()) + " started.")
while self.is_running():
try:
url = stream['url']
username = stream['username']
password = stream['password']
auth = (username, password)
# when streaming works the code stops here.
# this is the reason why we use a Process instead of a Thread. A process can be terminated.
StreamScraper.listen(connector, job_name, stream, url, auth)
# check if we need to abort, can be called from the main thread or other thread
aborted = abort.is_aborted()
self.running(not aborted)
# check if we need to stop, will be set by the agent's WatchWorker thread
if not aborted:
stopped = stop.is_stopped()
self.running(not stopped)
connector.close()
logger.trace(job_name, 'worker #' + str(self.get_id()) + " executed.")
except:
aborted = abort.is_aborted()
self.running(not aborted)
if not aborted:
stopped = stop.is_stopped()
self.running(not stopped)
result = Traceback.build()
logger.fatal(job_name, result['message'], result['backtrace'])
connector.close()
time.sleep(settings['worker_exception_delay'])
def action(self, connector, message):
try:
process = json.loads(message['payload'])
process_repository = ProcessRepository(connector)
process['state'] = 'PROCESSING'
process['message'] = ''
process['backtrace'] = ''
process_repository.state(process)
process_definition_repository = ProcessDefinitionRepository(connector)
process_definition_action_repository = ProcessDefinitionActionRepository(connector)
process_definition = process_definition_repository.find_by_id(process['pdn_id'])
process_definition_action = process_definition_action_repository.find_first_by_process_definition(process_definition)
process_action_repository = ProcessActionRepository(connector)
process_action = dict()
process_action['job_name'] = process['job_name']
process_action['pcs_id'] = process['id']
process_action['dan_id'] = process_definition_action['id']
process_action['name'] = process_definition_action['name']
process_action['state'] = 'READY'
process_action = process_action_repository.insert(process_action)
process_action_property_repository = ProcessActionPropertyRepository(connector)
process_definition_action_property_repository = ProcessDefinitionActionPropertyRepository(connector)
process_definition_action_properties = process_definition_action_property_repository.list_by_process_definition_action(process_definition_action)
for process_definition_action_property in process_definition_action_properties:
process_action_property_repository.set_property(process_action, process_definition_action_property['name'], process_definition_action_property['value'])
payload = process_action
Message.enqueue(connector, process['queue'], payload, 'message', 'paprika.consumers.ProcessAction.ProcessAction')
except:
process = json.loads(message['payload'])
paprika_ds = DatasourceBuilder.build('paprika-ds.json')
process_repository = ProcessRepository(paprika_ds)
result = Traceback.build()
result['id'] = process['id']
result['state'] = 'FAILED'
process_repository.state(result)
logger = Logger(connector, self)
logger.fatal(process['job_name'], result['message'], result['backtrace'])
def action(self, connector, message):
try:
process = json.loads(message['payload'])
process_repository = ProcessRepository(connector)
process['state'] = 'PROCESSED'
process['message'] = ''
process['backtrace'] = ''
process_repository.state(process)
except:
process = json.loads(message['payload'])
process_repository = ProcessRepository(connector)
result = Traceback.build()
result['id'] = process['id']
result['state'] = 'FAILED'
process_repository.state(result)
logger = Logger(connector, self)
logger.fatal(process['job_name'], result['message'],
result['backtrace'])
def action(self, connector, message):
try:
process_action = json.loads(message['payload'])
process_action_repository = ProcessActionRepository(connector)
# set the state of the process action
process_action['state'] = 'PROCESSING'
process_action['message'] = ''
process_action['backtrace'] = ''
process_action_repository.state(process_action)
process_action_property_repository = ProcessActionPropertyRepository(
connector)
action = ClassLoader.find(
process_action_property_repository.get_property(
process_action, 'action'))
payload = action.execute(connector, process_action)
if payload:
process_repository = ProcessRepository(connector)
process_action_property_repository = ProcessActionPropertyRepository(
connector)
process = process_repository.find_by_id(payload['pcs_id'])
sleep = float(
process_action_property_repository.get_property(
process_action, 'sleep'))
now = datetime.now()
delay = now + timedelta(seconds=int(sleep))
delay = delay.strftime('%Y-%m-%d %H:%M:%S')
Message.enqueue_wait(
connector, process['queue'], delay, payload, 'message',
'paprika.consumers.ProcessAction.ProcessAction')
else:
process_repository = ProcessRepository(connector)
process = process_repository.find_by_id(
process_action['pcs_id'])
process_definition_action_repository = ProcessDefinitionActionRepository(
connector)
process_definition_action = process_definition_action_repository.find_next_by_process_action(
process_action, process)
if process_definition_action:
next_process_action = dict()
next_process_action['job_name'] = process_action[
'job_name']
next_process_action['pcs_id'] = process_action['pcs_id']
next_process_action['dan_id'] = process_definition_action[
'id']
next_process_action['name'] = process_definition_action[
'name']
next_process_action['state'] = 'READY'
next_process_action = process_action_repository.insert(
next_process_action)
process_definition_action_property_repository = ProcessDefinitionActionPropertyRepository(
connector)
process_definition_action_properties = process_definition_action_property_repository.list_by_process_definition_action(
process_definition_action)
for process_definition_action_property in process_definition_action_properties:
process_action_property_repository.set_property(
next_process_action,
process_definition_action_property['name'],
process_definition_action_property['value'])
payload = next_process_action
Message.enqueue(
connector, process['queue'], payload, 'message',
'paprika.consumers.ProcessAction.ProcessAction')
else:
payload = process_repository.find_by_id(
process_action['pcs_id'])
Message.enqueue(
connector, process['queue'], payload, 'message',
'paprika.consumers.ProcessFinish.ProcessFinish')
process_action['state'] = 'PROCESSED'
process_action['message'] = ''
process_action['backtrace'] = ''
process_action_repository.state(process_action)
except:
# set the process_action to failed
process_action = json.loads(message['payload'])
process_action_repository = ProcessActionRepository(connector)
result = Traceback.build()
result['id'] = process_action['id']
result['state'] = 'FAILED'
process_action_repository.state(result)
# set the process to failed
process_repository = ProcessRepository(connector)
process = process_repository.find_by_id(process_action['pcs_id'])
result['id'] = process['id']
result['state'] = 'FAILED'
process_repository.state(result)
# log a fatal of the process
logger = Logger(connector, self)
logger.fatal(process['job_name'], result['message'],
result['backtrace'])
# start the exception process if present
if process['e_pdn_id']:
e_process = ProcessService.create_process(
connector, process['e_pdn_id'], process['job_name'])
process_property_repository = ProcessPropertyRepository(
connector)
process_property_repository.copy(process, e_process)
process_property_repository.set_property(
e_process, 'message', result['message'])
process_property_repository.set_property(
e_process, 'backtrace', result['backtrace'])
ProcessService.execute_process(connector, e_process)
def run(self, queue):
abort = self.get_abort()
claim = self.get_claim()
stop = self.get_stop()
settings = self.get_settings()
paprika_ds = DatasourceBuilder.build('paprika-ds.json')
connector = ConnectorFactory.create_connector(paprika_ds)
logger = Logger(connector, self)
job_repository = JobRepository(connector)
job = job_repository.job()
job_name = job['job_name']
message = None
while self.is_running():
try:
message = None
# retrieve the next message
message_repository = MessageRepository(connector)
message = message_repository.dequeue(claim, queue)
if message:
consumer = ClassLoader.find(message['consumer'])
consumer.action(connector, message)
message_repository.state(queue, message, 'PROCESSED')
# check if we need to abort, can be called from the main thread or other thread
aborted = abort.is_aborted()
self.running(not aborted)
# check if we need to stop, will be set by the agent's WatchWorker thread
if not aborted:
stopped = stop.is_stopped()
self.running(not stopped)
# no message to process
if not message:
connector.close()
time.sleep(settings['worker_idle_delay'])
logger.trace(job_name,
'worker #' + str(self.get_id()) + " executed.")
except:
aborted = abort.is_aborted()
self.running(not aborted)
if not aborted:
stopped = stop.is_stopped()
self.running(not stopped)
result = Traceback.build()
if message:
try:
message_repository = MessageRepository(connector)
result['id'] = message['id']
message_repository.state(queue, result, 'FAILED')
except:
logger.fatal(job_name,
'Failed to persist message failure')
logger.fatal(job_name, result['message'], result['backtrace'])
connector.close()
time.sleep(settings['worker_exception_delay'])
def run(self, scheduled_event, test_mode=False):
abort = self.get_abort()
stop = self.get_stop()
paprika_ds = DatasourceBuilder.build('paprika-ds.json')
connector = ConnectorFactory.create_connector(paprika_ds)
logger = Logger(connector, self)
job_repository = JobRepository(connector)
job = job_repository.job()
job_name = job['job_name']
settings = self.get_settings()
while self.is_running():
try:
now = datetime.now()
scheduled_event_repository = ScheduledEventRepository(
connector)
scheduled_event = scheduled_event_repository.find_by_hashcode(
scheduled_event['hashcode'])
job_repository = JobRepository(connector)
event_repository = EventRepository(connector)
repetition = scheduled_event['repetition']
intermission = int(scheduled_event['intermission'])
expected = datetime.strptime(scheduled_event['expected'],
"%Y-%m-%d %H:%M:%S")
next_expected = None
if expected < now:
if repetition == 'HOURS':
next_expected = expected + timedelta(
hours=int(intermission))
while next_expected < now:
next_expected += timedelta(hours=int(intermission))
if repetition == 'DAYS':
next_expected = expected + timedelta(
days=int(intermission))
while next_expected < now:
next_expected += timedelta(days=int(intermission))
if repetition == 'MINUTES':
next_expected = expected + timedelta(
minutes=int(intermission))
while next_expected < now:
next_expected += timedelta(
minutes=int(intermission))
if next_expected:
message = dict()
message['id'] = scheduled_event['id']
message['expected'] = next_expected.__str__()
scheduled_event_repository.expected(message)
job = job_repository.job()
event_job_name = job['job_name']
process = ProcessService.create_process(
connector, scheduled_event['pdn_id'], event_job_name,
scheduled_event['e_pdn_id'])
event = dict()
event['state'] = 'READY'
event['repetition'] = repetition
event['intermission'] = intermission
event['expected'] = scheduled_event['expected']
event['job_name'] = event_job_name
event['pcs_id'] = process['id']
event = event_repository.insert(event)
process_property_repository = ProcessPropertyRepository(
connector)
process_property_repository.set_property(
process, 'event_id', event['id'])
ProcessService.execute_process(connector, process)
# check if we need to abort, can be called from the main thread or other thread
aborted = abort.is_aborted()
self.running(not aborted)
# check if we need to stop, will be set by the agent's WatchWorker thread
if not aborted:
stopped = stop.is_stopped()
self.running(not stopped)
# check for test_mode, break the loop
if test_mode:
self.running(False)
connector.close()
time.sleep(settings['worker_idle_delay'])
logger.trace(job_name,
'worker #' + str(self.get_id()) + " executed.")
except:
aborted = abort.is_aborted()
self.running(not aborted)
if not aborted:
stopped = stop.is_stopped()
self.running(not stopped)
result = Traceback.build()
logger.fatal(job_name, result['message'], result['backtrace'])
connector.close()
time.sleep(settings['worker_exception_delay'])
def run(self, location):
abort = self.get_abort()
stop = self.get_stop()
paprika_ds = DatasourceBuilder.build('paprika-ds.json')
connector = ConnectorFactory.create_connector(paprika_ds)
logger = Logger(connector, self)
job_repository = JobRepository(connector)
job = job_repository.job()
job_name = job['job_name']
settings = self.get_settings()
while self.is_running():
try:
properties = PropertyRepository(connector)
registry = FileRepository(connector)
rule_repository = RuleRepository(connector)
excluded_extensions = properties.get_property(
'scanner.excluded_extensions')
stable_check_delay = properties.get_property(
'scanner.stable_check_delay')
url = location['url']
patterns = location['patterns']
client = VfsFactory.create_client(url)
client.set_excluded_extensions(excluded_extensions)
client.set_stable_check_delay(int(stable_check_delay))
client.set_regular_expressions(patterns)
path = client.get_path()
recursive = int(location['recursive'])
depth = int(location['depth'])
client.connect()
files = client.list_stable(path,
recursive=recursive,
depth=depth)
for file in files:
registered_file = registry.get_by_hashcode(
file['hashcode'])
if not registered_file:
# find the rule
found_rule = None
rules = rule_repository.find_by_location(location)
for rule in rules:
if Matcher.match(ReMethod, rule['pattern'],
file['filename']):
found_rule = rule
if not found_rule:
found_rule = rule_repository.find_failsafe()
job = job_repository.job()
file_job_name = job['job_name']
logger.info(
file_job_name, "file: " + file['url'] + '/' +
file['filename'] + " rule: " + found_rule['rule'] +
" hascode:" + file['hashcode'])
process = ProcessService.create_process(
connector, found_rule['pdn_id'], file_job_name,
found_rule['e_pdn_id'])
message = dict()
message['job_name'] = file_job_name
message['filename'] = file['filename']
message['path'] = file['path']
message['pattern'] = found_rule['pattern']
message['rle_id'] = found_rule['id']
message['rule'] = found_rule['rule']
message['pickup_location'] = file['url']
message['filesize'] = file['size']
message['hashcode'] = file['hashcode']
message['pcs_id'] = process['id']
message['state'] = 'READY'
registered_file = registry.insert(message)
process_property_repository = ProcessPropertyRepository(
connector)
process_property_repository.set_property(
process, 'file_id', registered_file['id'])
process_property_repository.set_property(
process, 'pickup_location', file['url'])
process_property_repository.set_property(
process, 'path', file['path'])
process_property_repository.set_property(
process, 'payload',
json.dumps({
'filename': file['filename'],
'job_name': file_job_name
}))
ProcessService.execute_process(connector, process)
client.close()
# check if we need to abort, can be called from the main thread or other thread
aborted = abort.is_aborted()
self.running(not aborted)
# check if we need to stop, will be set by the agent's WatchWorker thread
if not aborted:
stopped = stop.is_stopped()
self.running(not stopped)
connector.close()
time.sleep(settings['worker_idle_delay'])
logger.trace(job_name,
'worker #' + str(self.get_id()) + " executed.")
except:
aborted = abort.is_aborted()
self.running(not aborted)
if not aborted:
stopped = stop.is_stopped()
self.running(not stopped)
result = Traceback.build()
logger.fatal(job_name, result['message'], result['backtrace'])
connector.close()
time.sleep(settings['worker_exception_delay'])