Python interface to SHOP
Project description
pyshop
Status:
The nicest python interface to SHOP!
SHOP (Short-term Hydro Optimization Program) is a modeling tool for short-term hydro operation planning developed by SINTEF Energy Research in Trondheim, Norway. SHOP is used for both scientific and commerical purposes, please visit the SHOP home page for further information and inquiries regarding access and use.
The pyshop package is an open source python wrapper for SHOP, and requires the proper SHOP binaries to function (see step 2).
1 Installing pyshop
We currently offer two ways to use pyshop:
- Install pyshop through pypi (simple and quick)
- Install pyshop through Sintef's Gitlab Package Registry (useful if you want to avoid public registries)
Install pyshop using pypi
The pyshop package can be installed using pip, the package installer for python. Please visit the pip home page for installation and any pip related issues. You can install the official pyshop release through the terminal command:
pip install sintef-pyshop
You can also clone this repository and install the latest development version. To do this, open a terminal in the cloned pyshop directory and give the command:
pip install .
You should now see pyshop appear in the list of installed python modules when typing:
pip list
Install pyshop using Gitlab Package Registry
Create a personal access token.
Run the command below with your personal access token:
pip install sintef-pyshop --index-url https://__token__:<your_personal_token>@gitlab.sintef.no/api/v4/projects/4012/packages/pypi/simple
2 Download the desired SHOP binaries for your system
NOTE: You may not distribute the cplex library as it requires end user license
The SHOP core is separate from the pyshop package, and must be downloaded separately. The latest SHOP binaries are found on the SHOP Portal. Access to the portal must be granted by SINTEF Energy Research.
The following binaries are required for pyshop to run:
Windows:
cplex2010.dllshop_cplex_interface.dllshop_pybind.pyd
Linux:
libcplex2010.soshop_cplex_interface.soshop_pybind.so
The solver specific binary is listed as cplex2010 here, but will change as new CPLEX versions become available. It is also possible to use the GUROBI and OSI solvers with SHOP. Note that the shop_cplex_interface.so used to contain the CPLEX binaries in the Linux distribution before SHOP version 14.3, and so older SHOP versions do not require the separate libcplex2010.so file.
3 Environment and license file
The SHOP license file, SHOP_license.dat, must always be located in the directory specified by the environment variable ICC_COMMAND_PATH. The ICC_COMMAND_PATH can be added as a persistent environment variable in the regular ways, or it can be set by pyshop on a session basis. If the keyword argument license_path is specified when creating an instance of the ShopSession class (see step 4), the environment variable is overridden in the local environment of the executing process. If SHOP complains about not finding the license file, it is likely an issue with the ICC_COMMAND_PATH not being correctly specified.
The ICC_COMMAND_PATH is also the default place pyshop will look for the SHOP binaries mentioned in step 2. If the binaries are placed elsewhere, the keyword argument solver_path must be used when a ShopSession instance is created to ensure the correct binaries are loaded. Note that SHOP versions older than 14.4.0.5 reqiuire libcplex2010.so to be placed in the '/lib' directory when running pyshop in a Linux environment. From version 14.4.0.5, the libcplex2010.so can be placed in the same directory as the other SHOP bionaries.
4 Running SHOP
Now that pyshop is installed, the SHOP binaries are downloaded, and the license file and binary paths are located, it is possible to run SHOP in python using pyshop:
import pyshop as pys
shop = pys.ShopSession(license_path="C:/License/File/Path", solver_path="C:/SHOP/versions/14")
Please visit the SHOP documentation for a detailed guides on how to use pyshop. For more in depth example you should look at the topics within the documentation. Most of the examples in the documentation are written using pyshop. E.g: Run a standard optimization
Visual Studio Code Dev Containers
Visual Studio Dev Containers lets you run a fully functional development environment using Docker and Visual Studio Code. This might simplyfy setting up pyshop for new users. Follow the guide below to setup the devcontainer for pyshop.
Installation
Install the following dependencies:
- Install the code editor called Visual Studio Code. Visual Studio Code is free
- Install a Docker GUI: Docker desktop (might require a paid license depending on your organization), or a free alternative called Podman
Setup
-
Create a folder called
.devcontainerin your root directory with a file calleddevcontainer.json. Your folder structure should look like the example below: -
Copy and paste the contents of devcontainer.json into your
devcontainer.jsonfile. -
Create a folder called
binin your root directory and add the following files:libcplex2010.so,shop_cplex_interface.so, your shop license e.gSHOP_license.dat, shop pybind e.gshop_pybind.cpython-312-x86_64-linux-gnu.so. Your bin folder should now look like: -
Open your project using the devcontainer config files by running the command:
More in depth guides on how to customize devcontainers can be found in the devcontainer documentation
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