diff --git a/.github/workflows/build.yaml b/.github/workflows/build.yaml
index 34df2c81..b0a2edbe 100644
--- a/.github/workflows/build.yaml
+++ b/.github/workflows/build.yaml
@@ -14,32 +14,49 @@ on:
jobs:
test:
- runs-on: ubuntu-latest # Use an Ubuntu runner for the job
-
strategy:
matrix:
- python-version: [3.10.12, 3.10.15, 3.11] # Python versions to test
+ # there is no 3.10.15 on mac
+ # see: https://raw.githubusercontent.com/actions/python-versions/main/versions-manifest.json
+ os: [ubuntu-latest]
+ python-version: ['3.10.15', '3.11']
+
+ include:
+ - os: macos-13 # intel-based
+ python-version: '3.11'
+
+ - os: macos-latest # arm-based
+ python-version: '3.11'
+
+ runs-on: ${{ matrix.os }}
steps:
- name: Checkout code
- uses: actions/checkout@v4 # Checks out the repository's code
+ uses: actions/checkout@v4
- name: Set up Python
uses: actions/setup-python@v4
with:
- python-version: ${{ matrix.python-version }} # Use Python version from the matrix
+ python-version: ${{ matrix.python-version }}
- - name: Install system dependencies
+ - name: Install system dependencies (on Linux)
+ if: runner.os == 'Linux'
run: |
sudo apt update
- sudo apt install -y protobuf-compiler ffmpeg # Install both protobuf and ffmpeg in one step
+ sudo apt install -y protobuf-compiler ffmpeg
+
+ - name: Install system dependencies (on Mac)
+ if: runner.os == 'macOS'
+ run: |
+ brew update
+ brew install protobuf@21 ffmpeg
- name: Install Python dependencies
run: |
python -m pip install --upgrade pip
python -m venv .venv
source .venv/bin/activate
- pip install poetry
+ pip install poetry==2.1.2
poetry install --with dev
- name: Run the Python formatter
diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index 4818e9c9..695a9804 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -9,6 +9,7 @@ repos:
language: system
types: [file, python]
files: '^smart_control/'
+ exclude: '^smart_control/Dockerfile'
- id: isort
name: isort
diff --git a/.vscode/settings.json b/.vscode/settings.json
index 110f6ff2..37ab6e1c 100644
--- a/.vscode/settings.json
+++ b/.vscode/settings.json
@@ -24,4 +24,8 @@
// using pyink instead of black:
".venv/bin/pyink"
],
+ "[dockerfile]": {
+ "editor.formatOnSave": false,
+ "editor.defaultFormatter": null
+ }
}
diff --git a/Dockerfile b/Dockerfile
index b96355b5..5ba19fb2 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -58,7 +58,7 @@ RUN /opt/venv/bin/pip install \
# Install dependencies from the temporary location
RUN cd /tmp/sbsim && \
- poetry lock --no-update && \
+ poetry lock && \
poetry install --no-root
# Build .proto files
diff --git a/Makefile b/Makefile
index c20a9f6e..3eda2d21 100644
--- a/Makefile
+++ b/Makefile
@@ -1,10 +1,7 @@
# NOTE: you have to use tabs (not spaces) to define commands in the Makefile
# these are commands to be run, not files to be created:
-.PHONY: activate docs docs-build docs-quiet mdformat pyink isort pylint lint test
-
-# variable pointing to the virtual environment executable files:
-VENV_BIN := .venv/bin
+.PHONY: venv-activate docs docs-build docs-quiet mdformat pyink isort pylint lint test
#
# ENVIRONMENT
@@ -13,7 +10,7 @@ VENV_BIN := .venv/bin
# https://stackoverflow.com/questions/33839018/activate-virtualenv-in-makefile
# this command uses a different shell, so you must run it manually:
# bash -c "source .venv/bin/activate"
-activate:
+venv-activate:
@echo "Run this command to activate the environment: source .venv/bin/activate"
#
@@ -21,16 +18,16 @@ activate:
#
mdformat:
- ${VENV_BIN}/mdformat README.md docs/
+ poetry run mdformat README.md docs/*
pyink:
- ${VENV_BIN}/pyink .
+ poetry run pyink .
isort:
- $(VENV_BIN)/isort .
+ poetry run isort .
pylint:
- $(VENV_BIN)/pylint --rcfile=.pylintrc --ignore=proto smart_control
+ poetry run pylint --rcfile=.pylintrc --ignore=proto smart_control
# mega-command for running all formatters:
format: mdformat pyink isort pylint
@@ -40,17 +37,17 @@ format: mdformat pyink isort pylint
#
test:
- $(VENV_BIN)/pytest --disable-pytest-warnings
+ poetry run pytest --disable-pytest-warnings
#
# DOCS
#
docs:
- $(VENV_BIN)/mkdocs serve
+ poetry run mkdocs serve
docs-quiet:
- ${VENV_BIN}/mkdocs serve --quiet
+ poetry run mkdocs serve --quiet
docs-build:
- $(VENV_BIN)/mkdocs build
+ poetry run mkdocs build
diff --git a/docs/api/config.md b/docs/api/config.md
index 2e95eaf1..d93b878f 100644
--- a/docs/api/config.md
+++ b/docs/api/config.md
@@ -1,3 +1,4 @@
# Configuration
-The project uses Gin ("*.gin") configuration files to manage simulation settings, reward function parameters, and environment configurations.
+The project uses Gin ("\*.gin") configuration files to manage simulation
+settings, reward function parameters, and environment configurations.
diff --git a/docs/setup.md b/docs/setup.md
index 91f34a06..bda63099 100644
--- a/docs/setup.md
+++ b/docs/setup.md
@@ -1,246 +1,48 @@
# Local Development Setup Guide
-This document provides instructions for getting the repository set up for local
-development. By default, we use Linux OS, as some dependencies are not supported
-by other operating systems, however we are also providing a "Dockerfile" to
-facilitate running the code on non-Linux (Mac and Windows) systems.
+This document provides instructions for getting the project set up for local
+development.
-This project requires the following dependencies:
+## Prerequisites
-- [Protocol Buffer Compiler](https://grpc.io/docs/protoc-installation/) (i.e.
- "protoc")
-- [FFmpeg](https://ffmpeg.org/)
-- Python (>=3.10.12 and \<3.12), as installed using
- [Pyenv](https://github.com/pyenv/pyenv)
-- [Venv](https://docs.python.org/3/library/venv.html), for managing a Python
- virtual environment
+This project requires the following system dependencies:
+
+- Git
+- [Protocol Buffer Compiler](https://grpc.io/docs/protoc-installation/)
+ (`v 3.21.12`)
+- [FFmpeg](https://ffmpeg.org/) (`v 7.1.1`)
+- Python (`>=3.10.12 and <3.12`)
## Repository Setup
-Clone the repository, for example using an SSH approach:
+To download the codebase, you can clone the repository (for example using an SSH
+approach, however an HTTPS approach should be fine as well):
```sh
git clone git@github.com:google/sbsim.git
-cd sbsim/
-```
-
-## Linux Package Installation
-
-Install Linux package dependencies:
-
-```sh
-sudo apt install -y protobuf-compiler
-sudo apt install -y ffmpeg
-```
-
-You may need to also install `venv`:
-
-```sh
-sudo apt install python3.12-venv
-```
-
-## Python Installation
-
-We are using `pyenv` to manage and install specific versions of Python.
-
-First
-[install and configure `pyenv`](https://github.com/pyenv/pyenv?tab=readme-ov-file#installation).
-
-The configuration results in adding some lines like the following to your
-"~/.bashrc" file:
-
-```sh
-# this is the "~/.bashrc" file...
-
-# Load pyenv automatically:
-export PYENV_ROOT="$HOME/.pyenv"
-[[ -d $PYENV_ROOT/bin ]] && export PATH="$PYENV_ROOT/bin:$PATH"
-eval "$(pyenv init - bash)"
-
-# Load pyenv-virtualenv automatically:
-eval "$(pyenv virtualenv-init -)"
```
-Remember to restart your shell afterwards.
+After downloading the repository, navigate to the root directory from the
+command line before continuing:
-Then use `pyenv` to install a compatible Python version (e.g. Python 3.11):
-
-```sh
-pyenv install 3.11
-```
-
-Listing the installed versions:
-
-```sh
-pyenv versions
```
-
-Use a specific version that was installed (e.g. 3.11.11):
-
-```sh
-pyenv global 3.11.11
-```
-
-## Virtual Environment Setup
-
-Create a Python virtual environment:
-
-```sh
-python -m venv .venv
-```
-
-> NOTE: on Google machines you may need to use `python3` instead of `python`.
-
-Activate the virtual environment:
-
-```sh
-source .venv/bin/activate
-```
-
-## Python Package Installation
-
-We are using [Poetry](https://python-poetry.org/) to manage, install, and
-configure Python package dependencies.
-
-Install poetry:
-
-```sh
-pip install poetry
-```
-
-You may need to specify a Python version that is compatible with this project
-(e.g. Python version 3.11):
-
-```sh
-poetry env use 3.11
-```
-
-Use poetry to install dependencies, including development dependencies:
-
-```sh
-poetry install --with dev
-```
-
-## Protocol Buffer Compilation
-
-Build the ".proto" files defined in the "smart_control/proto" directory into
-Python files:
-
-```bash
-cd smart_control/proto
-
-protoc --python_out=. smart_control_building.proto \
- smart_control_normalization.proto \
- smart_control_reward.proto
-
-cd ../..
-```
-
-## Environment Variable Setup
-
-By default, simulation videos are stored in the "simulator/videos" directory
-(which is ignored from version control). If you would like to customize this
-location, use the `SIM_VIDEOS_DIRPATH` environment variable.
-
-You can pass environment variable(s) at runtime, or create a local ".env" file
-and set your desired value(s) there:
-
-```bash
-# this is the ".env" file...
-
-# customizing the directory where simulation videos are stored:
-SIM_VIDEOS_DIRPATH="/cns/oz-d/home/smart-buildings-control-team/smart-buildings/geometric_sim_videos/"
-```
-
-## Notebook Setup
-
-If you are running the Demo notebooks in the "smart_control/notebooks"
-directory, you must modify the values of `data_path`, `metrics_path`,
-`output_data_path` and `root_dir` in those notebooks. Specifically, the
-`data_path` should point to the directory where the "sim_config.gin" file is
-located (i.e. "smart_control/configs/sim_config.gin").
-
-> NOTE: in the future we plan on refactoring notebook code to leverage the local
-> module code and simplify this notebook setup experience. See
-> [issue #83](https://github.com/google/sbsim/issues/83) (contributions
-> welcome)!
-
-You can run the notebooks using Jupyter or VS Code. Either approach requires you
-to first install Jupyter. We have defined a separate installation group for
-notebook-related dependencies:
-
-```sh
-poetry install --with notebooks
-```
-
-Create a kernel (required for VS Code, optional for Jupyter):
-
-```sh
-poetry run python -m ipykernel install --user --name=sbsim-kernel
-```
-
-Finally you can run the notebook using Jupyter or VS Code:
-
-A. Run the notebooks using Jupyter (then visit the resulting
-[localhost:8000](localhost:8000) URL in the browser, and optionally choose the
-"sbsim-kernel" from the kernel drop-down menu):
-
-```sh
-poetry run jupyter notebook
-```
-
-B. Run the notebooks using VS Code (choosing the "sbsim-kernel" kernel from the
-kernel drop-down menu).
-
-
-
-# Docker (Alternative Setup)
-
-To avoid OS compatibility issues, and get the repository set up on non-Linux
-environments, you can use the pre-configured Docker environment (Linux/amd64)
-specified by the "Dockerfile".
-
-Build the image:
-
-```bash
-docker build -t sbsim-env .
-```
-
-Run the container, in interactive mode, with open ports:
-
-```bash
-docker run -it -p 8888:8888 -v $(pwd):/workspace sbsim-env
+cd sbsim/
```
-> NOTE: the container will copy the repository into "/workspace/sbsim" on the
-> first run. Use -v to persist changes.
-
-To access Jupyter notebooks, visit
-[http://localhost:8888](http://localhost:8888) in the browser.
-
-To run scripts or tests inside the actively running docker container:
-
-```sh
-# activate the virtual environment:
-source /opt/venv/bin/activate
-
-# navigate to the repository:
-cd /workspace/sbsim
-
-# running scripts:
-python path/to/script.py
+## System-specific Setup
-# running tests:
-pytest
-```
+By default, we use Linux OS for development. However it is also possible to
+develop on Mac OS. We are also providing a "Dockerfile" to facilitate
+development on non-Linux systems (Mac or Windows). Windows users can
+alternatively use
+[Windows Subsystem for Linux](https://learn.microsoft.com/en-us/windows/wsl/install).
-To stop the container:
+Consult one of the following system-specific setup guides, based on your
+operating system and preferred tools:
-```sh
-docker stop sbsim-env
-```
+- [Linux OS Setup](./setup/linux.md)
+- [Mac OS Setup](./setup/mac.md)
+- [Docker Setup](./setup/docker.md)
-> NOTE: in the future we would like to further update these instructions and
-> improve the Dockerfile. See
-> [issue #80](https://github.com/google/sbsim/issues/80) (contributions
-> welcome)!
+After completing the setup, you should be able to run notebooks or scripts as
+desired.
diff --git a/docs/setup/docker.md b/docs/setup/docker.md
new file mode 100644
index 00000000..a723adb9
--- /dev/null
+++ b/docs/setup/docker.md
@@ -0,0 +1,127 @@
+# Docker Setup Guide
+
+To get the repository set up on non-Linux environments, you can use the
+pre-configured Docker environment ("Linux/amd64") specified by the "Dockerfile".
+
+## Installing Docker
+
+First, install
+[Docker Desktop](https://www.docker.com/products/docker-desktop/), and accept
+the terms.
+
+Open Docker Desktop, and wait until it is running before proceeding.
+
+Verify the installation:
+
+```sh
+docker --version
+
+docker run hello-world
+```
+
+### Troubleshooting Installation Issues on Mac
+
+On Mac, if verification fails, try:
+
+```sh
+/Applications/Docker.app/Contents/Resources/bin/docker --version
+```
+
+If that works, as a one time setup step, update the ".zshrc" file to add the
+installed location to the path:
+
+```sh
+# this is the "~/.zshrc" file...
+export PATH="/Applications/Docker.app/Contents/Resources/bin:$PATH"
+```
+
+Remember to restart your shell afterwards:
+
+```sh
+source ~/.zshrc
+```
+
+Now you should be able to verify the installation:
+
+```sh
+docker --version
+
+docker run hello-world
+```
+
+## Image Operations
+
+Ensure you have navigated to the root directory of the repository, where the
+"Dockerfile" is located, before proceeding.
+
+Build the image:
+
+```bash
+docker build -t sbsim-docker-env .
+```
+
+Listing images:
+
+```sh
+docker images
+```
+
+Removing the image, as necessary:
+
+```sh
+docker rmi sbsim-docker-env
+```
+
+## Container Operations
+
+After the image is built, run the container (in interactive mode, with open
+ports):
+
+```bash
+docker run -it -p 8888:8888 -v $(pwd):/workspace sbsim-docker-env
+```
+
+> NOTE: the container will copy the repository into "/workspace/sbsim" on the
+> first run. Use -v to persist changes.
+
+To access Jupyter notebooks, visit
+[http://localhost:8888](http://localhost:8888) in the browser.
+
+To run scripts or tests inside the actively running docker container:
+
+```sh
+# activate the virtual environment:
+source /opt/venv/bin/activate
+
+# navigate to the repository:
+cd /workspace/sbsim
+
+# running scripts:
+python path/to/script.py
+
+# running tests:
+pytest
+```
+
+To stop the container:
+
+```sh
+docker stop sbsim-docker-env
+```
+
+Listing containers (to get their identifiers):
+
+```sh
+docker ps -a
+```
+
+Removing a container:
+
+```sh
+docker rm
+```
+
+> NOTE: in the future we would like to further update these instructions and
+> improve the Dockerfile. See
+> [issue #80](https://github.com/google/sbsim/issues/80) (contributions
+> welcome)!
diff --git a/docs/setup/linux.md b/docs/setup/linux.md
new file mode 100644
index 00000000..f758501e
--- /dev/null
+++ b/docs/setup/linux.md
@@ -0,0 +1,169 @@
+# Linux OS Setup Guide
+
+This guide helps you get the project setup on Linux OS.
+
+## System Package Installation
+
+Install Linux package dependencies:
+
+```sh
+sudo apt install -y protobuf-compiler
+sudo apt install -y ffmpeg
+sudo apt install -y python3.12-venv
+```
+
+## Python Installation
+
+We are using Pyenv to manage and install specific versions of Python.
+
+First
+[install and configure Pyenv](https://github.com/pyenv/pyenv?tab=readme-ov-file#installation).
+
+The configuration results in adding some lines like the following to your
+"~/.bashrc" file:
+
+```sh
+# this is the "~/.bashrc" file...
+
+# Load pyenv automatically:
+export PYENV_ROOT="$HOME/.pyenv"
+[[ -d $PYENV_ROOT/bin ]] && export PATH="$PYENV_ROOT/bin:$PATH"
+eval "$(pyenv init - bash)"
+
+# Load pyenv-virtualenv automatically:
+eval "$(pyenv virtualenv-init -)"
+```
+
+Remember to restart your shell afterwards.
+
+Then use Pyenv to install a compatible Python version (e.g. Python 3.11):
+
+```sh
+pyenv install 3.11
+```
+
+Listing the installed versions:
+
+```sh
+pyenv versions
+```
+
+Use a specific version that was installed (e.g. 3.11.11):
+
+```sh
+pyenv global 3.11.11
+```
+
+## Virtual Environment Setup
+
+Create a Python virtual environment:
+
+```sh
+python -m venv .venv
+```
+
+> NOTE: on Google machines you may need to use `python3` instead of `python`.
+
+Activate the virtual environment:
+
+```sh
+source .venv/bin/activate
+```
+
+## Python Package Installation
+
+We are using [Poetry](https://python-poetry.org/) to manage, install, and
+configure Python package dependencies.
+
+Install poetry:
+
+```sh
+pip install poetry==2.1.2
+```
+
+You may need to specify a Python version that is compatible with this project
+(e.g. Python version 3.11):
+
+```sh
+poetry env use 3.11
+```
+
+Use poetry to install dependencies, including development dependencies:
+
+```sh
+poetry install --with dev
+```
+
+## Protocol Buffer Compilation
+
+Build the ".proto" files defined in the "smart_control/proto" directory into
+Python files:
+
+```bash
+cd smart_control/proto
+
+protoc --python_out=. smart_control_building.proto
+protoc --python_out=. smart_control_normalization.proto
+protoc --python_out=. smart_control_reward.proto
+
+cd ../..
+```
+
+> NOTE: the generated "\*pb2.py" files have been checked in to the repository to
+> facilitate publishing this package on PyPI.
+
+> NOTE: contributors can skip this step and just use the current versions of the
+> protos that have been checked in to the repository. Maintainers can run this
+> step periodically to update the protos.
+
+## Environment Variable Setup
+
+By default, simulation videos are stored in the "simulator/videos" directory
+(which is ignored from version control). If you would like to customize this
+location, use the `SIM_VIDEOS_DIRPATH` environment variable.
+
+You can pass environment variable(s) at runtime, or create a local ".env" file
+and set your desired value(s) there:
+
+```bash
+# this is the ".env" file...
+
+# customizing the directory where simulation videos are stored:
+SIM_VIDEOS_DIRPATH="/cns/oz-d/home/smart-buildings-control-team/smart-buildings/geometric_sim_videos/"
+```
+
+## Notebook Setup
+
+If you are running the Demo notebooks in the "smart_control/notebooks"
+directory, you must modify the values of `data_path`, `metrics_path`,
+`output_data_path` and `root_dir` in those notebooks. Specifically, the
+`data_path` should point to the directory where the "sim_config.gin" file is
+located (i.e. "smart_control/configs/sim_config.gin").
+
+> NOTE: in the future we plan on refactoring notebook code to leverage the local
+> module code and simplify this notebook setup experience. See
+> [issue #83](https://github.com/google/sbsim/issues/83) (contributions
+> welcome)!
+
+You can run the notebooks using Jupyter or VS Code. Either approach requires you
+to first install Jupyter. We have defined a separate installation group for
+notebook-related dependencies:
+
+```sh
+poetry install --with notebooks
+```
+
+Create a kernel:
+
+```sh
+poetry run python -m ipykernel install --user --name=sbsim-kernel
+```
+
+Finally you can run the notebook using Jupyter or VS Code:
+
+- A) Run the notebooks using Jupyter by running `poetry run jupyter notebook`
+ (then visit the resulting [localhost:8000](localhost:8000) URL in the browser,
+ and choose the "sbsim-kernel" from the kernel drop-down menu).
+
+- B) Run the notebooks using VS Code (choosing the "sbsim-kernel" kernel from
+ the kernel drop-down menu).
diff --git a/docs/setup/mac.md b/docs/setup/mac.md
new file mode 100644
index 00000000..04593a0b
--- /dev/null
+++ b/docs/setup/mac.md
@@ -0,0 +1,170 @@
+# Mac OS Setup Guide
+
+This guide helps you get the project setup on Mac OS.
+
+## System Package Installation
+
+First install [Homebrew](https://brew.sh/) (i.e. `brew`).
+
+Then use Homebrew to install system dependencies:
+
+```sh
+brew install protobuf@21
+brew install ffmpeg
+```
+
+Checking installations:
+
+```sh
+$(brew --prefix protobuf@21)/bin/protoc --version
+#> libprotoc 3.21.12
+
+ffmpeg -version
+#> 7.1.1
+```
+
+NOTE: by installing a pinned version of Protobuf, it may not be symlinked, so
+normal `protoc` commands may not work without using a prefix of
+`$(brew --prefix protobuf@21)/bin/protoc`. To avoid needing the prefix, as a one
+time setup step, update the ".zshrc" file to add the installed location to the
+path:
+
+```sh
+# this is the "~/.zshrc" file:
+export PATH="$(brew --prefix protobuf@21)/bin:$PATH"
+```
+
+Remember to restart your shell afterwards:
+
+```sh
+source ~/.zshrc
+```
+
+Then you should be able to run normal `protoc` commands without the prefix:
+
+```sh
+protoc --version
+#> libprotoc 3.21.12
+```
+
+## Anaconda Installation
+
+Install [Anaconda](https://www.anaconda.com/download), which we will use to
+install Python and manage a virtual environment.
+
+The installation results in automatically adding some content to your "~/.zshrc"
+file. You may need to run a `conda init zsh` command, if prompted to do so.
+
+Remember to restart your shell afterwards.
+
+## Virtual Environment Setup
+
+Create the virtual environment:
+
+```sh
+conda create -n sbsim-env python=3.11
+```
+
+Activate the virtual environment:
+
+```sh
+conda activate sbsim-env
+```
+
+## Python Package Installation
+
+We are using [Poetry](https://python-poetry.org/) to manage, install, and
+configure Python package dependencies.
+
+Install poetry:
+
+```sh
+pip install poetry==2.1.2
+```
+
+Use poetry to install dependencies, including development dependencies:
+
+```sh
+poetry install --with dev
+```
+
+> NOTE: there may be issues with the `dm-reverb` package on Mac. See:
+> [https://github.com/google/sbsim/issues/102](https://github.com/google/sbsim/issues/102).
+> This issue only affects reinforcement learning functionality related to replay
+> buffers, so you should still be able to run all other parts of the codebase.
+> We welcome contributions to fix this issue and get all the functionality
+> working on Mac!
+
+## Protocol Buffer Compilation
+
+Build the ".proto" files defined in the "smart_control/proto" directory into
+Python files:
+
+```bash
+cd smart_control/proto
+
+protoc --python_out=. smart_control_building.proto
+protoc --python_out=. smart_control_normalization.proto
+protoc --python_out=. smart_control_reward.proto
+
+cd ../..
+```
+
+> NOTE: the generated "\*pb2.py" files have been checked in to the repository to
+> facilitate publishing this package on PyPI.
+
+> NOTE: contributors can skip this step and just use the current versions of the
+> protos that have been checked in to the repository. Maintainers can run this
+> step periodically to update the protos.
+
+## Environment Variable Setup
+
+By default, simulation videos are stored in the "simulator/videos" directory
+(which is ignored from version control). If you would like to customize this
+location, use the `SIM_VIDEOS_DIRPATH` environment variable.
+
+You can pass environment variable(s) at runtime, or create a local ".env" file
+and set your desired value(s) there:
+
+```bash
+# this is the ".env" file...
+
+# customizing the directory where simulation videos are stored:
+SIM_VIDEOS_DIRPATH="/cns/oz-d/home/smart-buildings-control-team/smart-buildings/geometric_sim_videos/"
+```
+
+## Notebook Setup
+
+If you are running the Demo notebooks in the "smart_control/notebooks"
+directory, you must modify the values of `data_path`, `metrics_path`,
+`output_data_path` and `root_dir` in those notebooks. Specifically, the
+`data_path` should point to the directory where the "sim_config.gin" file is
+located (i.e. "smart_control/configs/sim_config.gin").
+
+> NOTE: in the future we plan on refactoring notebook code to leverage the local
+> module code and simplify this notebook setup experience. See
+> [issue #83](https://github.com/google/sbsim/issues/83) (contributions
+> welcome)!
+
+You can run the notebooks using Jupyter or VS Code. Either approach requires you
+to first install Jupyter. We have defined a separate installation group for
+notebook-related dependencies:
+
+```sh
+poetry install --with notebooks
+```
+
+Create a kernel:
+
+```sh
+poetry run python -m ipykernel install --user --name=sbsim-kernel
+```
+
+Finally you can run the notebook using Jupyter or VS Code:
+
+- A) Run the notebooks using Jupyter by running `poetry run jupyter notebook`
+ (then visit the resulting [localhost:8000](localhost:8000) URL in the browser,
+ and choose the "sbsim-kernel" from the kernel drop-down menu).
+
+- B) Run the notebooks using VS Code (choosing the "sbsim-kernel" kernel from
+ the kernel drop-down menu).
diff --git a/mkdocs.yml b/mkdocs.yml
index c02886e8..a6fa37a7 100644
--- a/mkdocs.yml
+++ b/mkdocs.yml
@@ -72,7 +72,11 @@ theme:
nav:
- 'Home': index.md
- 'Local Development':
- - 'Setup': setup.md
+ - 'Setup':
+ - 'Overview': setup.md
+ - 'Linux': setup/linux.md
+ - 'Mac': setup/mac.md
+ - 'Docker': setup/docker.md
- 'Contributing': contributing.md
- 'Documentation Site': docs-site.md
- 'API Reference':
@@ -104,6 +108,15 @@ markdown_extensions:
- toc:
permalink: "#" # adds clickable link anchors for all headings
+ # enable language-specific syntax highlighting:
+ - pymdownx.highlight:
+ anchor_linenums: true
+ #line_spans: __span
+ pygments_lang_class: true
+ #- pymdownx.inlinehilite # For inline code highlighting
+ #- pymdownx.snippets
+ - pymdownx.superfences
+
plugins:
- search
diff --git a/poetry.lock b/poetry.lock
index 406a88c0..6d7e2bb1 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -50,25 +50,19 @@ files = [
[[package]]
name = "argon2-cffi"
-version = "23.1.0"
+version = "25.1.0"
description = "Argon2 for Python"
optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
groups = ["notebooks"]
files = [
- {file = "argon2_cffi-23.1.0-py3-none-any.whl", hash = "sha256:c670642b78ba29641818ab2e68bd4e6a78ba53b7eff7b4c3815ae16abf91c7ea"},
- {file = "argon2_cffi-23.1.0.tar.gz", hash = "sha256:879c3e79a2729ce768ebb7d36d4609e3a78a4ca2ec3a9f12286ca057e3d0db08"},
+ {file = "argon2_cffi-25.1.0-py3-none-any.whl", hash = "sha256:fdc8b074db390fccb6eb4a3604ae7231f219aa669a2652e0f20e16ba513d5741"},
+ {file = "argon2_cffi-25.1.0.tar.gz", hash = "sha256:694ae5cc8a42f4c4e2bf2ca0e64e51e23a040c6a517a85074683d3959e1346c1"},
]
[package.dependencies]
argon2-cffi-bindings = "*"
-[package.extras]
-dev = ["argon2-cffi[tests,typing]", "tox (>4)"]
-docs = ["furo", "myst-parser", "sphinx", "sphinx-copybutton", "sphinx-notfound-page"]
-tests = ["hypothesis", "pytest"]
-typing = ["mypy"]
-
[[package]]
name = "argon2-cffi-bindings"
version = "21.2.0"
@@ -809,6 +803,7 @@ description = "Reverb is an efficient and easy-to-use data storage and transport
optional = false
python-versions = ">=3"
groups = ["main"]
+markers = "sys_platform == \"linux\""
files = [
{file = "dm_reverb-0.14.0-cp310-cp310-manylinux2014_x86_64.whl", hash = "sha256:1388aea4a58117d2d93d35078d249728f580c3d3295d1c0fcfa9b41c6874f931"},
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@@ -822,6 +817,26 @@ portpicker = "*"
[package.extras]
tensorflow = ["tensorflow (>=2.15.0,<2.16.0)"]
+[[package]]
+name = "dm-reverb-macos"
+version = "0.11.0.dev0"
+description = "Reverb is an efficient and easy-to-use data storage and transport system designed for machine learning research."
+optional = false
+python-versions = ">=3"
+groups = ["main"]
+markers = "sys_platform == \"darwin\""
+files = [
+ {file = "dm-reverb-macos-0.11.0.dev0.tar.gz", hash = "sha256:75ce80a4f3fa4ad083aaf5d6875a9fa8cc53ae10daaa33d8c0e6cc3c98ed8918"},
+ {file = "dm_reverb_macos-0.11.0.dev0-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:d4fa0ca15ae86fe922566de782c5eb7ba0afb0c557459d79cf9b0b4d29c9326e"},
+]
+
+[package.dependencies]
+dm-tree = "*"
+portpicker = "*"
+
+[package.extras]
+tensorflow = ["tensorflow (>=2.12.0,<2.13.0)"]
+
[[package]]
name = "dm-tree"
version = "0.1.9"
@@ -977,54 +992,54 @@ test = ["pytest", "pytest-cov", "pytest-mpl", "pytest-subtests"]
[[package]]
name = "fonttools"
-version = "4.58.1"
+version = "4.58.2"
description = "Tools to manipulate font files"
optional = false
python-versions = ">=3.9"
groups = ["main"]
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optional = false
python-versions = ">=3.6"
groups = ["main"]
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]
[package.dependencies]
joblib = ">=1.2.0"
-numpy = ">=1.19.5"
-scipy = ">=1.6.0"
+numpy = ">=1.22.0"
+scipy = ">=1.8.0"
threadpoolctl = ">=3.1.0"
[package.extras]
-benchmark = ["matplotlib (>=3.3.4)", "memory_profiler (>=0.57.0)", "pandas (>=1.1.5)"]
-build = ["cython (>=3.0.10)", "meson-python (>=0.16.0)", "numpy (>=1.19.5)", "scipy (>=1.6.0)"]
-docs = ["Pillow (>=7.1.2)", "matplotlib (>=3.3.4)", "memory_profiler (>=0.57.0)", "numpydoc (>=1.2.0)", "pandas (>=1.1.5)", "plotly (>=5.14.0)", "polars (>=0.20.30)", "pooch (>=1.6.0)", "pydata-sphinx-theme (>=0.15.3)", "scikit-image (>=0.17.2)", "seaborn (>=0.9.0)", "sphinx (>=7.3.7)", "sphinx-copybutton (>=0.5.2)", "sphinx-design (>=0.5.0)", "sphinx-design (>=0.6.0)", "sphinx-gallery (>=0.17.1)", "sphinx-prompt (>=1.4.0)", "sphinx-remove-toctrees (>=1.0.0.post1)", "sphinxcontrib-sass (>=0.3.4)", "sphinxext-opengraph (>=0.9.1)", "towncrier (>=24.8.0)"]
-examples = ["matplotlib (>=3.3.4)", "pandas (>=1.1.5)", "plotly (>=5.14.0)", "pooch (>=1.6.0)", "scikit-image (>=0.17.2)", "seaborn (>=0.9.0)"]
-install = ["joblib (>=1.2.0)", "numpy (>=1.19.5)", "scipy (>=1.6.0)", "threadpoolctl (>=3.1.0)"]
-maintenance = ["conda-lock (==2.5.6)"]
-tests = ["black (>=24.3.0)", "matplotlib (>=3.3.4)", "mypy (>=1.9)", "numpydoc (>=1.2.0)", "pandas (>=1.1.5)", "polars (>=0.20.30)", "pooch (>=1.6.0)", "pyamg (>=4.0.0)", "pyarrow (>=12.0.0)", "pytest (>=7.1.2)", "pytest-cov (>=2.9.0)", "ruff (>=0.5.1)", "scikit-image (>=0.17.2)"]
+benchmark = ["matplotlib (>=3.5.0)", "memory_profiler (>=0.57.0)", "pandas (>=1.4.0)"]
+build = ["cython (>=3.0.10)", "meson-python (>=0.16.0)", "numpy (>=1.22.0)", "scipy (>=1.8.0)"]
+docs = ["Pillow (>=8.4.0)", "matplotlib (>=3.5.0)", "memory_profiler (>=0.57.0)", "numpydoc (>=1.2.0)", "pandas (>=1.4.0)", "plotly (>=5.14.0)", "polars (>=0.20.30)", "pooch (>=1.6.0)", "pydata-sphinx-theme (>=0.15.3)", "scikit-image (>=0.19.0)", "seaborn (>=0.9.0)", "sphinx (>=7.3.7)", "sphinx-copybutton (>=0.5.2)", "sphinx-design (>=0.5.0)", "sphinx-design (>=0.6.0)", "sphinx-gallery (>=0.17.1)", "sphinx-prompt (>=1.4.0)", "sphinx-remove-toctrees (>=1.0.0.post1)", "sphinxcontrib-sass (>=0.3.4)", "sphinxext-opengraph (>=0.9.1)", "towncrier (>=24.8.0)"]
+examples = ["matplotlib (>=3.5.0)", "pandas (>=1.4.0)", "plotly (>=5.14.0)", "pooch (>=1.6.0)", "scikit-image (>=0.19.0)", "seaborn (>=0.9.0)"]
+install = ["joblib (>=1.2.0)", "numpy (>=1.22.0)", "scipy (>=1.8.0)", "threadpoolctl (>=3.1.0)"]
+maintenance = ["conda-lock (==3.0.1)"]
+tests = ["matplotlib (>=3.5.0)", "mypy (>=1.15)", "numpydoc (>=1.2.0)", "pandas (>=1.4.0)", "polars (>=0.20.30)", "pooch (>=1.6.0)", "pyamg (>=4.2.1)", "pyarrow (>=12.0.0)", "pytest (>=7.1.2)", "pytest-cov (>=2.9.0)", "ruff (>=0.11.7)", "scikit-image (>=0.19.0)"]
[[package]]
name = "scipy"
@@ -4722,14 +4733,14 @@ files = [
[[package]]
name = "tomlkit"
-version = "0.13.2"
+version = "0.13.3"
description = "Style preserving TOML library"
optional = false
python-versions = ">=3.8"
groups = ["dev"]
files = [
- {file = "tomlkit-0.13.2-py3-none-any.whl", hash = "sha256:7a974427f6e119197f670fbbbeae7bef749a6c14e793db934baefc1b5f03efde"},
- {file = "tomlkit-0.13.2.tar.gz", hash = "sha256:fff5fe59a87295b278abd31bec92c15d9bc4a06885ab12bcea52c71119392e79"},
+ {file = "tomlkit-0.13.3-py3-none-any.whl", hash = "sha256:c89c649d79ee40629a9fda55f8ace8c6a1b42deb912b2a8fd8d942ddadb606b0"},
+ {file = "tomlkit-0.13.3.tar.gz", hash = "sha256:430cf247ee57df2b94ee3fbe588e71d362a941ebb545dec29b53961d61add2a1"},
]
[[package]]
@@ -5089,4 +5100,4 @@ files = [
[metadata]
lock-version = "2.1"
python-versions = ">=3.10.12,<3.12"
-content-hash = "fb9776b0d3a141d1539a0833e68fc1748fa292bff465686d9ab5bd55501bb2e7"
+content-hash = "282890a03c52ad7e6bc13cd0a698016cc051c606ae343f6ca1f48b4901a0fb03"
diff --git a/pyproject.toml b/pyproject.toml
index 2cacc9a4..f7fd6dc4 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -8,7 +8,17 @@ readme = "README.md"
[tool.poetry.dependencies]
python = ">=3.10.12,<3.12"
tensorflow = "2.15.1"
-dm-reverb = "^0.14.0"
+
+# The "dm-reverb" package is meant for Linux only, so we are conditionally
+# ... installing the normal package on Linux, and another package on Mac.
+# ... However there may still be issues with the Mac version.
+# ... See: https://github.com/google/sbsim/issues/102 for details.
+#dm-reverb = "^0.14.0"
+#
+dm-reverb = { version = "0.14.0", markers = "sys_platform == 'linux'" }
+dm-reverb-macos = { version = "0.11.0.dev0", markers = "sys_platform == 'darwin'" }
+#dm-reverb-macos-nightly = { version = ">=0.11.20241207", markers = "sys_platform == 'darwin'" }
+
pytz = "^2024.1"
gin-config = "^0.5.0"
matplotlib = "^3.9.2"
@@ -66,10 +76,10 @@ force-exclude = '''
(
/.*_pb2\.py
| /BUILD$
+ | /Dockerfile$
)
'''
-
[tool.isort]
lexicographical = true
group_by_package = true
diff --git a/smart_control/reinforcement_learning/replay_buffer/replay_buffer_test.py b/smart_control/reinforcement_learning/replay_buffer/replay_buffer_test.py
new file mode 100644
index 00000000..da8ef09a
--- /dev/null
+++ b/smart_control/reinforcement_learning/replay_buffer/replay_buffer_test.py
@@ -0,0 +1,30 @@
+"""Replay Buffer Test"""
+
+import sys
+import unittest
+
+# we are skipping these tests on Mac for now, until we can resolve the dm-reverb
+# package installation on Mac. See: https://github.com/google/sbsim/issues/102
+RUNNING_ON_MAC = sys.platform.startswith("darwin")
+SKIP_REASON = "Issues installing dm-reverb on Mac."
+
+
+class ReverbInstallationTest(unittest.TestCase):
+ """Testing if we can install the dm-reverb package. Skipping on Mac for now.
+ We can remove the skip logic and push to GitHub Actions to test / prove our
+ ability to install across all platforms. Then we can remove this test class.
+ """
+
+ @unittest.skipIf(RUNNING_ON_MAC, SKIP_REASON)
+ def test_reverb_installation(self):
+ import reverb # pylint:disable=import-outside-toplevel
+
+ print("Reverb imported successfully.")
+ print(dir(reverb))
+ assert True
+
+
+# TODO: add more replay buffer related tests here (using the skip logic)
+
+if __name__ == "__main__":
+ unittest.main()
diff --git a/smart_control/utils/regression_building_utils_test.py b/smart_control/utils/regression_building_utils_test.py
index cf3da966..b950b75e 100644
--- a/smart_control/utils/regression_building_utils_test.py
+++ b/smart_control/utils/regression_building_utils_test.py
@@ -147,7 +147,25 @@ def test_get_feature_map(self):
('dow', 'sin_000'): 0.7818314824680298,
('d0', 's0'): 294.5,
}
- self.assertDictEqual(expected_feature_map, feature_map)
+
+ # this assertion passes on Linux, but fails on intel-based Macs,
+ # due to floating point math differences:
+ # self.assertDictEqual(expected_feature_map, feature_map)
+
+ # ... equality assertions when applicable:
+ for key in ['timestamp', ('d0', 's0')]:
+ self.assertEqual(feature_map[key], expected_feature_map[key])
+
+ # ... almost-equal assertions for the sin and cos values:
+ for key in [
+ ('hod', 'cos_000'),
+ ('hod', 'sin_000'),
+ ('dow', 'cos_000'),
+ ('dow', 'sin_000'),
+ ]:
+ self.assertAlmostEqual(
+ feature_map[key], expected_feature_map[key], places=7
+ )
def test_get_observation_sequence(self):
req_ts = pd.Timestamp('2021-01-12 00:00')