sparse-intern-71089
02/17/2021, 1:59 PMbillowy-army-68599
chilly-hospital-92934
02/17/2021, 3:53 PMoutput_map_new = output_map.apply(
lambda output_map: output_map
)
print(output_map_new)
output_map_new2 = pulumi.Output.concat(output_map)
print(output_map_new2)
output_map_new3 = output_map.apply(lambda v: print(v))
print(output_map_new3)
output_map_new, output_map_new2, output_map_new3 return <class 'pulumi.output.Output'>sparse-state-34229
02/17/2021, 5:28 PMsparse-state-34229
02/17/2021, 5:29 PMchilly-hospital-92934
02/17/2021, 6:35 PMoutput_map = network_state.get_output('output_map')
for key, properties in output_map.items():
pulumi_provider1(key, properties['value1'])
pulumi_provider2(key, properties['value2'])
...
Data which are in this dict are passed to functionssparse-state-34229
02/17/2021, 6:39 PMoutput_map
looks like?sparse-state-34229
02/17/2021, 6:39 PMchilly-hospital-92934
02/18/2021, 8:33 AM{
"<http://domain1.com|domain1.com>": {
"frontend_port": 443.0,
"bandwidth": 100.0,
"backend_port": 10001,
"key1": "value1",
"key2: "value2"
},
"<http://domain2.eu|domain2.eu>": {
"frontend_port": 443.0,
"bandwidth": 100.0,
"backend_port": 10002,
"key1": "value1",
"key2: "value2"
},
"<http://domain3.com|domain3.com>": {
"frontend_port": 443.0,
"bandwidth": 50,
"backend_port": 10003,
"key1": "value1",
"key2: "value2"
},
}