def query(param):
wf = workflow.Workflow()
try:
ip = int2ip(int(param), False)
wf.add_item(title=ip, subtitle='int2ip', arg=ip, valid=True)
except:
pass
try:
ip = int2ip(int(param))
wf.add_item(title=ip, subtitle='int2ip', arg=ip, valid=True)
except:
pass
try:
int_ip = ip2int(param, False)
wf.add_item(title=int_ip, subtitle='ip2int', arg=int_ip, valid=True)
except:
pass
try:
int_ip = ip2int(param)
wf.add_item(title=int_ip, subtitle='ip2int', arg=int_ip, valid=True)
except:
pass
wf.send_feedback()
def test1(self):
w = workflow.Workflow()
store = dict(files=['file1', 'file2'])
w.start(store=store)
w >> Task1() >> Task2()
if store['status']:
w >> Task3a()
else:
w >> Task3b()
for file in store['files']:
w >> Task4(file=file)
resultcode = w.end()
assert store['result'] == [
'file1',
'file2',
]
assert resultcode == 'success'
assert list(map(lambda task: task.__class__.__name__,
w.task_history)) == [
'Task1',
'Task2',
'Task3a',
'Task4',
'Task4',
]
def test_empty_machine_index(self):
wf = workflow.Workflow()
old_get = vagrantup.get_machine_data
vagrantup.get_machine_data = lambda: generate_index(0)['machines']
vagrantup.do_list([], wf)
vagrantup.get_machine_data = old_get
self.assertEqual(len(wf._items), 1)
self.assertEqual(wf._items[0].valid, False)
def wf():
"""Return `Workflow` object for this module.
Returns:
workflow.Workflow: `Workflow` object for current workflow.
"""
global _wf
if _wf is None:
_wf = workflow.Workflow()
return _wf
def test_workflow_step():
# Tests the creation and the generic getter function
W = w.Workflow()
start_step = W.start_step(a, "start_a")
step = W.add_step(start_step, b, "step_b")
assert step.name == 'step_b'
assert step.function == b
assert step.step_type == None
assert W.start_steps() == [start_step]
assert W.steps() == [start_step, step]
def test_workflow_start_step():
# Tests the creation and the generic getter function
W = w.Workflow()
step = W.start_step(a, "start_a")
step.name = 'step2'
assert step.name == 'step2'
assert step.function == a
assert step.step_type == 'start'
assert W.start_steps() == [step]
assert W.steps() == [step]
def test_workflow_step_merge():
# Tests the creation and the generic getter function
W = w.Workflow()
w_st = W.start_step(a, "start_a").next(b, 'step_b').merge(c)
step_a = w.Step(W, a, "start_a", step_type='start')
step_b = w.Step(W, function=b, name="step_b")
step_c = w.Step(W, function=c, name="workflow_test.c", step_type='sync')
assert step_c.function == c
assert W.start_steps() == [step_a]
assert W.steps() == [step_a, step_b, step_c]
def test_list_machines(self):
wf = workflow.Workflow()
machines = generate_index()['machines']
vagrantup.list_machines(machines, wf)
for item in wf._items:
mid, vagrantfile_path = item.arg.split(' ')
meta = machines[mid]
self.assertTrue(mid in machines.keys())
self.assertTrue(item.uid in machines.keys())
self.assertEqual(item.title, meta['name'])
self.assertEqual(item.subtitle, meta['vagrantfile_path'])
self.assertEqual(vagrantfile_path, meta['vagrantfile_path'])
self.assertEqual(item.valid, True)
self.assertFalse(item.icon, None)
def test_workflow_step():
# Tests the creation and the generic getter function
W = w.Workflow()
w_st = W.start_step(a, "start_a").next(b, 'step_b')
start_step = w.Step(W, a, "start_a", step_type='start')
step = w.Step(W, function=b, name="step_b")
assert step.name == 'step_b'
assert step.function == b
assert step.step_type == None
assert W.start_steps() == [start_step]
assert W.steps() == [start_step, step]
def query(param):
wf = workflow.Workflow()
try:
wf.add_item(title=timestamp_datetime(float(param)), subtitle='from unix timestamp',
arg=timestamp_datetime(float(param)), valid=True)
except:
pass
try:
wf.add_item(title=datetime_timestamp(param), subtitle='to unix timestamp',
arg=datetime_timestamp(param), valid=True)
except:
pass
wf.send_feedback()
def getWorkflows(self):
print(" --- Trying to get the workflows for " + self.policieName +
" ---")
link = self.baseurl + "/workflows/"
req = requests.request('GET',
link,
headers=self.headers,
verify=False,
timeout=50)
workflowsJson = json.loads(req.text)['workflows']
for workflowJson in workflowsJson:
newWorkflow = workflow.Workflow(link, self.headers,
workflowJson['name'])
newWorkflow.getWorkflowStatus()
self.workflows.append(newWorkflow)
print(" --- Getting workflows end --- \n")
def to_uint(param):
if len(param) == 1 and param == '-':
param = 0
param = int(param)
uint_num = str(ctypes.c_uint32(param).value)
wf = workflow.Workflow()
try:
wf.add_item(title=uint_num,
subtitle='to uint',
arg=uint_num,
valid=True)
except:
pass
wf.send_feedback()
def search_server(param):
sys.stderr.write('seach param: %s\n' % param)
server_list = load_servers()
idc = ''
ip = ''
find_items = []
params = param.split()
try:
int(params[0][0])
ip = params[0]
if len(params) > 1:
idc = params[1]
except:
idc = params[0]
if len(params) > 1:
ip = params[1]
for server in server_list:
if ip in server['detail_ip'] and idc in server['idc']:
find_items.append(server)
wf = workflow.Workflow()
for server in find_items:
title = server['idc'] + ' ' + server['pub_ip']
for k, v in server.items():
try:
if int(v) == 1:
title += ' ' + k
except:
continue
try:
wf.add_item(title=server['pub_ip'],
subtitle=title,
arg=server['pub_ip'],
valid=True)
except:
continue
wf.send_feedback()
def test_workflow_step_thread_merge():
# Tests the creation and the generic getter function
W = w.Workflow()
w_st = W.start_step(a, "start_a").next(b, 'step_b').thread_merge(c)
step_a = w.Step(W, a, "start_a", step_type='start')
step_b = w.Step(W, function=b, name="step_b")
step_c = w.Step(W,
function=c,
name="workflow_test.c",
step_type='thread_sync')
assert step_c.function == c
assert W.start_steps() == [step_a]
assert W.steps() == [step_a, step_b, step_c]
assert W.step_by_name('step_b') == step_b
assert W.steps_by_name(['step_b']) == [step_b]
assert W.steps_by_name(['start_a', 'step_b']) == [step_a, step_b]
assert W.next_steps(step_b.name) == [step_c]
assert W.next_steps(step_b.name) == [step_c]
assert W.get_step_dependencies(step_a) == None
assert W.get_step_dependencies(step_c) == sorted([step_a, step_b])
from garcon import activity
from garcon import decider
from threading import Thread
import time
import boto3
import workflow
# Initiate the workflow on the dev domain and custom_decider name.
client = boto3.client('swf', region_name='us-east-1')
workflow = workflow.Workflow(client, 'dev', 'custom_decider')
deciderworker = decider.DeciderWorker(workflow)
client.start_workflow_execution(
domain=workflow.domain,
workflowId='unique-workflow-identifier',
workflowType=dict(
name=workflow.name,
version='1.0'),
executionStartToCloseTimeout='3600',
taskStartToCloseTimeout='3600',
childPolicy='TERMINATE',
taskList=dict(name=workflow.name))
Thread(target=activity.ActivityWorker(workflow).run).start()
while(True):
deciderworker.run()
time.sleep(1)
def wf():
global _wf
if _wf is None:
_wf = workflow.Workflow()
return _wf
def eval_point(self, point):
#logger.info('Point: {}'.format(point))
wf = workflow.Workflow(graph=self.substitute_params(point))
data = wf.run()
return data[self.optimization_field]
query = wf.args[0]
users = wxc.search_user(query, True)
if users == False:
raise Exception('Open wanxin userdata.db failed')
#wf.add_item("ERROR: Open wanxin userdata.db failed")
elif not users:
wf.add_item(u'Not found "%s"' % query)
else:
# 0 1 2 3 4 5 6 7 8 9
#'中文名,英文名,代码,性别,职位,电话,手机,邮件,地址,部门'
[
wf.add_item("%s (%s) %s %s" % (u[0], u[2], u[4], u[9]),
u"📱%s ☎️%s 📧%s" % (pretty_mobile(u[6]), u[5], u[7]),
copytext='%s %s %s %s' % (u[2], u[6], u[5], u[7]),
arg=u'%s %s\n手机: %s\n电话: %s\n邮箱: %s\n地址: %s' %
(u[0], u[2], u[6], u[5], u[7], u[8]),
uid=u[2],
valid=True,
icon="female.png" if u[3] == '0' else 'male.png')
for u in users[:100]
]
wf.send_feedback()
if __name__ == '__main__':
wf = workflow.Workflow()
sys.exit(wf.run(main))
#!/usr/bin/python
# encoding: utf-8
import os
import string
import sys
import workflow
def main(wf):
log.debug('Started')
if wf.update_available:
log.debug("update available, attempting update")
wf.start_update()
if __name__ == u"__main__":
wf = workflow.Workflow(update_settings={
'github_slug': 'plongitudes/SGLinkTransform',
'frequency': 1
})
log = wf.logger
sys.exit(wf.run(main))
def run_graph(
self,
workflow_file,
full_result,
comment,
main,
graph_args,
disable_inmemory_cache,
disable_file_cache,
frozens_id,
create_frozens,
use_frozens,
use_frozen_only_if_exists,
cleanup,
perfomance_logging,
):
self.workflow_file = workflow_file
self.comment = comment
start_time = time.time()
with open(workflow_file) as f:
self.graph = f.read()
self.db_register()
message_delay = 60 * float(
config.get('cuber', 'message_delay', fallback=3))
job_descritpion = '{}; {}'.format(workflow_file, self.comment)
try:
cube.Cube.checkpoints_dir = self.checkpoints_dir
logging.info('Checkpoints dir: {}'.format(
cube.Cube.checkpoints_dir))
wf = workflow.Workflow(
workflow_file,
main=main,
graph_args=graph_args,
frozens_dir=self.frozens_dir,
frozens_id=frozens_id,
create_frozens=create_frozens,
use_frozens=use_frozens,
use_frozen_only_if_exists=use_frozen_only_if_exists,
)
self.db_update_status('running')
data = wf.run(
disable_inmemory_cache=disable_inmemory_cache,
disable_file_cache=disable_file_cache,
cleanup=cleanup,
perfomance_logging=perfomance_logging,
)
res = utils.dict_to_string(data, full=full_result)
if time.time() - start_time >= message_delay:
logging.critical(
'Calculation is done: {} (graph id: {})\n{}'.format(
job_descritpion, self.db_id, res))
else:
logging.info(
'Calculation is done: {} (graph id: {})\n{}'.format(
job_descritpion, self.db_id, res))
self.db_save_result(res)
self.db_update_status('done')
except KeyboardInterrupt:
if time.time() - start_time >= message_delay:
logging.critical(
'Calculation is cancelled: {} (graph id: {})'.format(
job_descritpion, self.db_id))
else:
logging.error(
'Calculation is cancelled: {} (graph id: {})'.format(
job_descritpion, self.db_id))
self.db_save_result('candelled')
self.db_update_status('cancelled')
except:
import traceback
traceback.print_exc()
if time.time() - start_time >= message_delay:
logging.critical(
'Calculation is failed: {} (graph id: {})'.format(
job_descritpion, self.db_id))
else:
logging.error(
'Calculation is failed: {} (graph id: {})'.format(
job_descritpion, self.db_id))
self.db_update_status('failed')
import sys
import os
sys.path.insert(0, '/home/denest/PERFetc2/')
import matplotlib.pyplot as plt
import numpy as np
import workflow
from perfusion import express
ROOT_FOLDER_LIN = './'
wf = workflow.Workflow(ROOT_FOLDER_LIN)
wf.dir_manager.add_path('FILTERED', 'filtered', add_to='nii')
wf.setup_env(mricron='/home/denest/mricron/dcm2nii')
#wf.make_time_file()
#wf.convert_dcm_to_nii(make_time=True)
#wf.separate_nii()
#wf.filter_vols(intensity_sigma=40, gaussian_sigma=1.5)
wf.update_label()
#wf.registration_start(11)
#wf.make_4dvol()
#wf.add_roi('aorta')
#wf.add_roi('porta')
#wf.add_roi('4d_mask')
#wf.dir_manager.add_path('tumor_roi.nii.gz', 'tumor', add_to='roi', create=False)
#wf.dir_manager.add_path('pancreas_roi.nii.gz', 'pancreas', add_to='roi', create=False)
#for r in ['tumor','pancreas']:
# wf.add_roi(r)
"""
wf.add_roi('aorta')
wf.dir_manager.add_path('tumor2.nii.gz', 'tumor2', add_to='roi', create=False)
wf.dir_manager.add_path('tumor1.nii.gz', 'tumor1', add_to='roi', create=False)
from garcon import activity
from garcon import decider
from threading import Thread
import boto.swf.layer2 as swf
import time
import workflow
# Initiate the workflow on the dev domain and custom_decider name.
flow = workflow.Workflow('dev', 'custom_decider')
deciderworker = decider.DeciderWorker(flow)
# swf.WorkflowType(
# name=flow.name, domain=flow.domain,
# version='1.0', task_list=flow.name).start()
Thread(target=activity.ActivityWorker(flow).run).start()
while (True):
deciderworker.run()
time.sleep(1)
def wf():
"""Lazy `Workflow` object."""
global _wf
if _wf is None:
_wf = workflow.Workflow()
return _wf
rulers = []
if 1:
#parse frag/libs out of pipeline.ini out of rundir
availableRulers = ruler.getSupportedRulers(
"%s/rulers" % (utils.INITIAL_UTILS), True)
availableRulers.extend(ruler.getSupportedRulers(os.getcwd(), True))
availableRulers_dict = dict()
for rl in availableRulers:
try:
availableRulers_dict[rl.step].append(rl)
except KeyError:
availableRulers_dict[rl.step] = [rl]
# finally reload any commands we had
pip = workflow.Workflow("pipeline", settings.rundir + os.sep)
pip.read()
if len(pip.commandList.strip()) > 0:
try:
wfopts, wfargs = getopt.getopt(pip.commandList.strip().split(),
shortOptions, longOptions)
wfopts.extend(opts)
wfargs.extend(args)
opts = wfopts
args = wfargs
except getopt.GetoptError, err:
# print help information and exit:
print str(err) # will print something like "option -a not recognized"
usage()
sys.exit(2)