Prepare orchestration plan based on precedence scheduling

Use transitive reduction for graph output, to reduce number
of edges, and keep graph clean

solar/solar/cli/orch.py

@@ -105,8 +105,11 @@ def dg(uid):
     for n in plan:
         color = colors[plan.node[n]['status']]
         plan.node[n]['color'] = color
-    nx.write_dot(plan, 'graph.dot')
-    subprocess.call(['dot', '-Tpng', 'graph.dot', '-o', 'graph.png'])
+    nx.write_dot(plan, '{name}.dot'.format(name=plan.graph['name']))
+    subprocess.call(
+        'tred {name}.dot | dot -Tpng -o {name}.png'.format(name=plan.graph['name']),
+        shell=True)
+    click.echo('Created {name}.png'.format(name=plan.graph['name']))
 
 
 @orchestration.command()

solar/solar/system_log/change.py

@@ -82,7 +82,7 @@ def stage_changes():
     return _stage_changes(staged, conn_graph, commited, log)
 
 
-def send_to_orchestration(execute=False):
+def send_to_orchestration():
     conn_graph = signals.detailed_connection_graph()
     dg = nx.DiGraph()
     staged = {r.name: r.args_show()
@@ -100,8 +100,9 @@ def send_to_orchestration(execute=False):
                 res_uid, status='PENDING',
                 errmsg=None,
                 **parameters(res_uid, guess_action(commited_data, staged_data)))
+            for pred in conn_graph.predecessors(res_uid):
+                dg.add_edge(pred, res_uid)
 
-    dg.add_path(nx.topological_sort(conn_graph))
     # what it should be?
     dg.graph['name'] = 'system_log'
     return graph.create_plan_from_graph(dg)