def record_wf_profile(self, wf_name, proc_num, writeto=_MYSQL, conn=None):
wf_id = self.cleaned_profiles[wf_name].keys()[0]
wf_id_bin = binascii.unhexlify(wf_id)
wf_mapping = self.args.target
wf_iter_num = self.args.iter
wf_graph = os.path.join(current_location, MONITOR_CONFIGS["graph_profile_store"], wf_id)
wf_memory_profile = os.path.join(current_location, MONITOR_CONFIGS["memory_profile_store"], wf_id) + ".dat"
wf_total_time = self.cleaned_profiles[wf_name][wf_id]["exec"]
wf_sub_time = self.cleaned_profiles[wf_name][wf_id]["submitted"]
# convert graph to json in node link format
from dispel4py.workflow_graph import drawDot, draw
dot_data = draw(self.workflow)
# store dot file to graph data path
with open(wf_graph + ".dot", "w") as outfile:
outfile.write(dot_data)
# store png file if store_png set to true
if MONITOR_CONFIGS.get("store_png", False):
drawDot(self.workflow, wf_graph + ".png")
if writeto == _MYSQL:
cursor = conn.cursor()
try:
cursor.execute(
"INSERT INTO WorkflowProfiles("
"WF_SubmissionID, WF_Name, WF_Mapping, "
"WF_ProcessorNum, WF_IterationNum, WF_TotalTime, "
"WF_Submitted, WF_GraphDescription, WF_MemoryProfile) " +
"VALUES(%s, %s, %s, %s, %s, %s, %s, %s, %s)",
(wf_id_bin, wf_name, wf_mapping,
proc_num, wf_iter_num, wf_total_time,
wf_sub_time, wf_graph, wf_memory_profile)
)
conn.commit()
return True
except StandardError, e:
print(cursor._last_executed)
print e
conn.rollback()
return False
def test_dot_composite():
def inc(a):
return a + 1
def dec(a):
return a - 1
graph = WorkflowGraph()
prod = TestProducer()
comp = create_iterative_chain([inc, dec])
cons = TestOneInOneOut()
graph.connect(prod, "output", comp, "input")
graph.connect(comp, "output", cons, "input")
graph.inputmappings = {"input": (prod, "input")}
root_prod = TestProducer()
root_graph = WorkflowGraph()
root_graph.connect(root_prod, "output", graph, "input")
dot = draw(root_graph)
tools.ok_("subgraph cluster_" in dot)
def test_dot_composite():
def inc(a):
return a+1
def dec(a):
return a-1
graph = WorkflowGraph()
prod = TestProducer()
comp = create_iterative_chain([inc, dec])
cons = TestOneInOneOut()
graph.connect(prod, 'output', comp, 'input')
graph.connect(comp, 'output', cons, 'input')
graph.inputmappings = {'input': (prod, 'input')}
root_prod = TestProducer()
root_graph = WorkflowGraph()
root_graph.connect(root_prod, 'output', graph, 'input')
dot = draw(root_graph)
tools.ok_('subgraph cluster_' in dot)
def test_dot_pipeline():
graph = WorkflowGraph()
prod = TestProducer()
cons = TestOneInOneOut()
graph.connect(prod, "output", cons, "input")
draw(graph)
def test_dot_pipeline():
graph = WorkflowGraph()
prod = TestProducer()
cons = TestOneInOneOut()
graph.connect(prod, 'output', cons, 'input')
draw(graph)