Skip to main content

A python package containing infrastructure to develop a dots calculation service

Project description

dots-infrastructure

This package provides the infrastructure to develop dots calculation services an example of how a calculation function can be developed can be found in the Dots calculation service template. This package implements helics as a co-simulation engine.

Contents

  • Federate structure
  • Publication/subscription
  • Threading

Federate structure

When defining a calculation service you have to create a python class that inherits from HelicsSimulationExecutor. This class will have the necesairy functions to define a calculation service. To add new calculations to a calculation service use the add_calculation of the HelicsSimulationExecutor class. This will instantiate a new instance of the HelicsFederateExecutor class which is responsible for the life cycle of a helics federate. To clarify please refer to the class diagram below:

dots component diagram

Once all calculations are defined, initiate the newly created subtype of HelicsSimulationExecutor and call upon the start_simulation function. This will start up the helics federates that will be part of the co-simulations federation. Each calculation within a calculation service will be handled by a seperate helics federate.

Publication/subscription

One of the major features of this package is managing the publications and subscriptions of a calculation service. Publications and subscriptions types are defined by the calculation service itself and are coupled to the simulation's esdl file. What is important to consider here is that a calculation service simulates multiple instances of the same esdl type. Hence, calculation services are defined as a simulator for a specific esdl type. The simulation's esdl file determines which publication the calculation service will subscribe to.

Consider an esdl file that has a house that is connected to two pv panels and a seperate pv panel that is not connected to anything. See the below description of the topology:

pv panel (id:1) -- House (id: 1) -- pv panel (id: 2)

pv panel (id: 3)

Now take the calculation service that is developed for the house. This service might want the output of the pv panel calculation services connected to it. As long as the house service specifies that it needs input from the pv panels the package will make sure the house service subscribes to the output of pv panels with id 1 and id 2. The subscription key will look like: PVPanel/{Outputname}/{PVPanelId}. When all the inputs for a calculation service have been received the calculation service' calculation function will be called with the new input values in the form of a dictionary.

The house calculation service might also want to output values to different calulation services. As long as the house calculation service specifies that the service outputs specific values the publications will be registered within the helics federation and other calculation services might subscribe to it. The publication key will be similar to the example of the subscription key.

Finally, as mentioned earlier a calculation service might simulate multiple instances of the same esdl type. So lets consider a calculation service for the pv panels in the above example. The associated calculation functions will be called three times in a single time step by this infrastructure package because there are three pv panels. Each call to the calculation functions has different parameters that are unique to the single instance of a pv panel.

Threading

When defining calculations for a calculation service it is important to know how threading is taken care of in this package. Each calculation might have a specific helics execution period (or frequency) and corresponding offset. Therefore, in order for helics to properly scedule the different calculations of a calculation service each calculation is handled by a seperate helics federate that is running on a sperate thread.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

dots_infrastructure-0.4.7.tar.gz (114.7 kB view details)

Uploaded Source

Built Distribution

dots_infrastructure-0.4.7-py3-none-any.whl (19.8 kB view details)

Uploaded Python 3

File details

Details for the file dots_infrastructure-0.4.7.tar.gz.

File metadata

  • Download URL: dots_infrastructure-0.4.7.tar.gz
  • Upload date:
  • Size: 114.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.0

File hashes

Hashes for dots_infrastructure-0.4.7.tar.gz
Algorithm Hash digest
SHA256 237722c407f9588b3e6e049a894a222a94e3c5f2234e44c47862c1325e0e0b51
MD5 623ea83823ab992c739faa5bb369dada
BLAKE2b-256 5af875d543fc18b0b3c28798b245456e020db663834569dea88b2d2849c35778

See more details on using hashes here.

File details

Details for the file dots_infrastructure-0.4.7-py3-none-any.whl.

File metadata

File hashes

Hashes for dots_infrastructure-0.4.7-py3-none-any.whl
Algorithm Hash digest
SHA256 bad61754926bfed8fb123e16e36be44d78cf9e79c6a65ab8e56096700e36650d
MD5 0b6c3e37273efb242a9b234d4416cd4a
BLAKE2b-256 1019182e5db8a367446b3b03f9a91ebd1084f579b3dfe6932756f756dd2ae79e

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page