"""
Given a workflow_name, and if the module class is already
imported, create an object an return it
"""
full_path = "workflow." + workflow_name + "." + workflow_name
f = eval(full_path)
# Create the object
workflow_object = f(settings, logger, conn, token, decision,
maximum_page_size)
return workflow_object
if __name__ == "__main__":
ENV = None
forks = None
# Add options
parser = OptionParser()
parser.add_option("-e",
"--env",
default="dev",
action="store",
type="string",
dest="env",
help="set the environment to run, either dev or live")
(options, args) = parser.parse_args()
if options.env:
ENV = options.env
process.monitor_interrupt(lambda flag: decide(ENV, flag))
# "token": None,
# "datetime": datetime.datetime.now().strftime("%Y-%m-%dT%H:%M:%SZ")
# }
m = Message()
m.set_body(json.dumps(response_message))
output_queue.write(m)
if __name__ == "__main__":
ENV = None
parser = OptionParser()
parser.add_option(
"-e",
"--env",
default="dev",
action="store",
type="string",
dest="env",
help="set the environment to run, either dev or live",
)
(options, args) = parser.parse_args()
ENV = options.env
settings_lib = __import__("settings")
settings = settings_lib.get_settings(ENV)
lax_simulator = LaxSimulator(settings, logger)
process.monitor_interrupt(lambda flag: lax_simulator.listen(flag))
Given an SWF connection and logger as resources,
the token to specify an accepted activity, details and a reason
to send, communicate with SWF that the activity failed
and the workflow should be abandoned
"""
try:
out = conn.request_cancel_workflow_execution(domain, workflow_id, run_id=run_id)
logger.info("request_cancel_workflow_execution %s" % out)
except boto.exception.SWFResponseError as e:
_log_swf_response_error(logger, e)
if __name__ == "__main__":
ENV = None
parser = OptionParser()
parser.add_option(
"-e",
"--env",
default="dev",
action="store",
type="string",
dest="env",
help="set the environment to run, either dev or live",
)
(options, args) = parser.parse_args()
if options.env:
ENV = options.env
process.monitor_interrupt(lambda flag: work(ENV, flag))
except:
pass
full_path = "starter." + workflow_name + "." + workflow_name + "()"
s = eval(full_path)
s.start(settings=settings, **workflow_data)
# soon to be deprecated
def process_data_publishperfectarticle(workflow_name, workflow_data):
data = {'info': S3NotificationInfo.from_dict(workflow_data),
'run': str(uuid.uuid4())}
return data
def process_data_ingestarticlezip(workflow_name, workflow_data):
data = {'info': S3NotificationInfo.from_dict(workflow_data),
'run': str(uuid.uuid4())}
return data
def process_data_postperfectpublication(workflow_name, workflow_data):
data = {'info': workflow_data }
return data
workflow_data_processors = {
'PublishPerfectArticle': process_data_publishperfectarticle,
'IngestArticleZip': process_data_ingestarticlezip,
'SilentCorrectionsIngest': process_data_ingestarticlezip,
'PostPerfectPublication': process_data_postperfectpublication
}
if __name__ == "__main__":
process.monitor_interrupt(main)
if re.match(rule['bucket_name_pattern'], info.bucket_name) and \
re.match(rule['file_name_pattern'], info.file_name):
return rule['starter_name']
pass
def reload_module(module_name):
"""
Given an module name,
attempt to reload the module
"""
try:
reload(eval(module_name))
except:
pass
if __name__ == "__main__":
parser = OptionParser()
parser.add_option("-e",
"--env",
default="dev",
action="store",
type="string",
dest="env",
help="set the environment to run, either dev or live")
(options, args) = parser.parse_args()
if options.env:
ENV = options.env
process.monitor_interrupt(lambda flag: work(ENV, flag))
conn = S3Connection(self._settings.aws_access_key_id,
self._settings.aws_secret_access_key)
bucket = conn.get_bucket(bucketname)
key = Key(bucket)
key.key = filename
json_output = key.get_contents_as_string()
return json_output
if __name__ == "__main__":
ENV = None
parser = OptionParser()
parser.add_option("-e",
"--env",
default="dev",
action="store",
type="string",
dest="env",
help="set the environment to run, either dev or live")
(options, args) = parser.parse_args()
ENV = options.env
settings_lib = __import__('settings')
settings = settings_lib.get_settings(ENV)
shimmy = Shimmy(settings, logger)
process.monitor_interrupt(lambda flag: shimmy.listen(flag))
# "message": "invalid data",
# "id": None,
# "token": None,
# "datetime": datetime.datetime.now().strftime("%Y-%m-%dT%H:%M:%SZ")
# }
m = Message()
m.set_body(json.dumps(response_message))
output_queue.write(m)
if __name__ == "__main__":
ENV = None
parser = OptionParser()
parser.add_option("-e",
"--env",
default="dev",
action="store",
type="string",
dest="env",
help="set the environment to run, either dev or live")
(options, args) = parser.parse_args()
ENV = options.env
settings_lib = __import__('settings')
settings = settings_lib.get_settings(ENV)
lax_simulator = LaxSimulator(settings, logger)
process.monitor_interrupt(lambda flag: lax_simulator.listen(flag))
def process_data_publishperfectarticle(workflow_name, workflow_data):
data = {
'info': S3NotificationInfo.from_dict(workflow_data),
'run': str(uuid.uuid4())
}
return data
def process_data_ingestarticlezip(workflow_name, workflow_data):
data = {
'info': S3NotificationInfo.from_dict(workflow_data),
'run': str(uuid.uuid4())
}
return data
def process_data_postperfectpublication(workflow_name, workflow_data):
data = {'info': workflow_data}
return data
workflow_data_processors = {
'PublishPerfectArticle': process_data_publishperfectarticle,
'IngestArticleZip': process_data_ingestarticlezip,
'SilentCorrectionsIngest': process_data_ingestarticlezip,
'PostPerfectPublication': process_data_postperfectpublication
}
if __name__ == "__main__":
process.monitor_interrupt(main)
try:
reload(eval(module_name))
except NameError:
pass
def get_workflow_object(workflow_name, settings, logger, conn, token, decision, maximum_page_size):
"""
Given a workflow_name, and if the module class is already
imported, create an object an return it
"""
full_path = "workflow." + workflow_name + "." + workflow_name
f = eval(full_path)
# Create the object
workflow_object = f(settings, logger, conn, token, decision, maximum_page_size)
return workflow_object
if __name__ == "__main__":
ENV = None
forks = None
# Add options
parser = OptionParser()
parser.add_option("-e", "--env", default="dev", action="store", type="string",
dest="env", help="set the environment to run, either dev or live")
(options, args) = parser.parse_args()
if options.env:
ENV = options.env
process.monitor_interrupt(lambda flag: decide(ENV, flag))
self.logger.info("calling workflow PostPerfectPublication")
return workflow_starter_message
except Exception as e:
self.logger.error("Error parsing Lax message. Message: " + e.message)
raise
@newrelic.agent.background_task(group='lax_response_adapter.py')
def process_message(self, message, output_queue):
message_str = str(message.get_body())
workflow_starter_message = self.parse_message(message_str)
m = Message()
m.set_body(json.dumps(workflow_starter_message))
output_queue.write(m)
if __name__ == "__main__":
ENV = None
parser = OptionParser()
parser.add_option("-e", "--env", default="dev", action="store", type="string", dest="env",
help="set the environment to run, either dev or live")
(options, args) = parser.parse_args()
ENV = options.env
settings_lib = __import__('settings')
settings = settings_lib.get_settings(ENV)
lax_response_adapter = LaxResponseAdapter(settings, logger)
process.monitor_interrupt(lambda flag: lax_response_adapter.listen(flag))
def extract_update_date(self, passthrough_json, response_json):
return eif_provider.extract_update_date(passthrough_json, response_json)
def slurp_eif(self, bucketname, filename):
conn = S3Connection(self._settings.aws_access_key_id,
self._settings.aws_secret_access_key)
bucket = conn.get_bucket(bucketname)
key = Key(bucket)
key.key = filename
json_output = key.get_contents_as_string()
return json_output
if __name__ == "__main__":
ENV = None
parser = OptionParser()
parser.add_option("-e", "--env", default="dev", action="store", type="string", dest="env",
help="set the environment to run, either dev or live")
(options, args) = parser.parse_args()
ENV = options.env
settings_lib = __import__('settings')
settings = settings_lib.get_settings(ENV)
shimmy = Shimmy(settings, logger)
process.monitor_interrupt(lambda flag: shimmy.listen(flag))
