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Dockerfile

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@@ -13,7 +13,7 @@ RUN pip install --upgrade pip
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# Install the python modules
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RUN pip install -e .
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ENV PYTHONPATH=/pydss/PyDSS
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ENV PYTHONPATH=/PyDSS/PyDSS
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EXPOSE 5000/tcp
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EXPOSE 9090/tcp

README.md

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# Welcome to the pydss Repository!
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**Pydss** is a high level python interface for **OpenDSS** and provides the following functionalities
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**PyDSS** is a high level python interface for **OpenDSS** and provides the following functionalities
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Documentation on installation, setup and examples can be found here https://nrel.github.io/pydss/index.html
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Documentation on installation, setup and examples can be found here https://nrel.github.io/PyDSS/index.html
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docs/Makefile

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python make_model_tables.py -o $(BUILDDIR)/model_tables
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github: html
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rm -rf source/pydss
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sphinx-apidoc -o source/pydss ../pydss
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rm -rf source/PyDSS
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sphinx-apidoc -o source/PyDSS ../PyDSS
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-git branch -D gh-pages
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-git push origin --delete gh-pages
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ghp-import -n -b gh-pages -m "Update documentation" ./build/html

docs/README.md

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From docs directory:
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```
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sphinx-apidoc -o source/pydss ../pydss
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sphinx-apidoc -o source/PyDSS ../PyDSS
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```
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## Build HTML Docs

docs/source/Co-simulation Interfaces.rst

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Default values for additional simulation settings are as follows. For more information on how to appropriately set these values please look at HELICS documentaion
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Once the HELICS co-simulation interface has been enabled, the next step is to set up ``publications`` and ``subscriptions`` to set up information exchange with external federates.
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Pydss enables zero code setup of these modules. Each scenario can have its publlcation and subscription defination and is managed by two file in the ``ExportLists`` directory for a given scenario.
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PyDSS enables zero code setup of these modules. Each scenario can have its publlcation and subscription defination and is managed by two file in the ``ExportLists`` directory for a given scenario.
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publication tags (names) follow the following convertion
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The socket interface in pydss also come in handy, when setting up a hardware-in-loop type simulations and integrating the simulation
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engine with actual hardware. Interfaces similar to raw socket implementations have been developed (to be open-sourced at a later time)
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for Modbus-TCP and DNP3 communcations have developed and tested with pydss with sucess. A minimal socket interfacing example has
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been provided as a pydss project in ~pydss/examples/external_interfaces. Within the folder,
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~/pydss/examples/external_interfaces/pydss_project a scenario called 'socket' has been defined. Socket
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been provided as a pydss project in ~PyDSS/examples/external_interfaces. Within the folder,
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~/PyDSS/examples/external_interfaces/pydss_project a scenario called 'socket' has been defined. Socket
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controller definations have been detailed with the 'pyControllerList' folder. An example of input requirements can be studied below.
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This example will publish ``voltage magnitude`` (see Even set in Index) and ``real power`` for load ``Load.mpx000635970`` in the model. Subscribed
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values will be used to update the ``kW`` property of the coupled load (Load.mpx000635970 in this case)

docs/source/conf.py

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return version_match.group(1)
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raise RuntimeError("Unable to find version string.")
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project = 'pydss'
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project = 'PyDSS'
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copyright = '2019, Aadil Latif'
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author = 'Aadil Latif'
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# The full version, including alpha/beta/rc tags
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release = find_version("../../pydss", "__init__.py")
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release = find_version("../../PyDSS", "__init__.py")
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# -- General configuration ---------------------------------------------------
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redoc = [
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{
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'name': 'pydss API',
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'name': 'PyDSS API',
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'page': 'api',
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'spec': 'spec/swagger.yml',
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'embed': True,

docs/source/hdf-data-format.rst

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Common Metadata
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===============
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Pydss stores metadata that is common to all datasets in the root of the
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PyDSS stores metadata that is common to all datasets in the root of the
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scenario group. For example, the ``Timestamp`` dataset contains the simulation
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timestamps (seconds since epoch) for all datasets that store values at every
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time point. ::
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Dataset Metadata
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================
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Pydss stores metadata for each dataset in HDF attributes as well as other
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PyDSS stores metadata for each dataset in HDF attributes as well as other
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datasets. This metadata describes the contents of datasets.
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Attributes per dataset

docs/source/index.rst

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#####
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***********
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About Pydss
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About PyDSS
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***********
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Pydss is a Python wrapper for OpenDSS that aims to expand upon its
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PyDSS is a Python wrapper for OpenDSS that aims to expand upon its
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organizational, analytical, and visualization capabilities with these features:
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- Allows the user to develop custom control algorithms for specific circuit elements and run them
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- Automates collection and analysis of circuit element results at each simulation time step.
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- Flexible architecture allows users to develop extensions.
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Pydss uses opendssdirect.py (https://pypi.org/project/OpenDSSDirect.py/) to communicate with
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PyDSS uses opendssdirect.py (https://pypi.org/project/OpenDSSDirect.py/) to communicate with
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OpenDSS.
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.. _installation_label:
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.. code-block:: bash
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$ git clone https://github.com/NREL/PyDSS
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$ pip install -e NREL-pydss
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$ pip install -e PyDSS
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Confirm the installation with this command. It should print the available commands::
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$ pydss --help
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*************
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Running Pydss
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Running PyDSS
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*************
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Refer to the :ref:`quick_start_label` for basic instructions on how to configure pydss to run a
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simulation with an existing OpenDSS model.

docs/source/reports.rst

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******************
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Here's how to create a new report in pydss.
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#. Create a new class in a Python file in ``pydss/reports``. The class must
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#. Create a new class in a Python file in ``PyDSS/reports``. The class must
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inherit from ``ReportBase``.
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#. Implement the required methods:
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docs/source/spec/swagger.json

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