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We have noticed that the intermediate steps currently taken in the gwms_aws_config_data transform
of the channel_aws_config_data channel could actually be done by routines that are downstream from them.
WE propose the following arrangement of code. Once this is done we will then not have any sources (or source proxies)
that depend on the output of transforms.
[root@hepcsvc03 sources]# more /root/proposed_plan
Now
source: factory_entries -> combined transform [ code from gwms_to_aws.py that makes Job_limits] ->FigureOfMerit
transform
Note would have to add a factory entries source proxy to aws_calculations_with_source_proxy temporarily
to make this work
We have noticed that the intermediate steps currently taken in the gwms_aws_config_data transform
of the channel_aws_config_data channel could actually be done by routines that are downstream from them.
WE propose the following arrangement of code. Once this is done we will then not have any sources (or source proxies)
that depend on the output of transforms.
[root@hepcsvc03 sources]# more /root/proposed_plan
Now
channel_aws_config_data
source: factory_entries -> Transform gwms_aws_config_data -> aws_instance_limits datablock -> AwsJobLimits source pro
xy->FigureOfMerit transform
Change to
source: factory_entries -> combined transform [ code from gwms_to_aws.py that makes Job_limits] ->FigureOfMerit
transform
Note would have to add a factory entries source proxy to aws_calculations_with_source_proxy temporarily
to make this work
source: factory_entries -> transform gwms_aws_config_data -> spot_occupancy_config datablock -> hybrid source_proxy (
AWSSpotPrice) -> FigureOfMerit transform
Change to
source:factory_entries -> combined transform [ code that makes spot_occupancy_config datablock + code that queries fo
r spot_occupancy ] -> AWS FigureOfMerit transform
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