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build-macos-release.yml
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name: Build macOS release
on:
workflow_dispatch:
inputs:
info:
description: "Here you can manually trigger the build. ➡️ It will automatically fetch the latest release tag. ➡️ Selecting branch 'main' will upload to the official Google bucket. ➡️ Any other branch will upload to the beta-versions bucket."
required: false
default: "[dummy input field - no need to fill in]"
release:
types:
- published
jobs:
build-macos-release:
runs-on: macos-15
env:
# can remove this if proven succesfull
# RELEASE_VERSION: ${{ github.event_name == 'release' && github.event.release.tag_name || inputs.tag_name }}
# BUCKET_NAME: github-release-files-storage
BRANCH_NAME: ${{ github.event_name == 'release' && 'main' || github.ref_name }}
steps:
- name: Checkout repository
uses: actions/checkout@v3
- name: Get latest release tag
id: release_info
uses: pozetroninc/github-action-get-latest-release@master
with:
token: ${{ secrets.GITHUB_TOKEN }}
repository: ${{ github.repository }}
- name: Set latest release tag to global
run: |
RELEASE_VERSION=${{ steps.release_info.outputs.release }}
echo RELEASE_VERSION: $RELEASE_VERSION
echo "RELEASE_VERSION=${{ steps.release_info.outputs.release }}" >> $GITHUB_ENV
- name: Set BUCKET_NAME based on chosen branch
run: |
echo "BRANCH_NAME is $BRANCH_NAME"
if [ "$BRANCH_NAME" = "main" ]; then
BUCKET_NAME="github-release-files-storage"
else
BUCKET_NAME="github-release-files-storage-beta-versions"
fi
echo "BUCKET_NAME=$BUCKET_NAME" >> $GITHUB_ENV
echo "BUCKET_NAME is $BUCKET_NAME"
- name: Install Miniconda
run: |
mkdir "$HOME/miniforge"
curl --ipv4 -L "https://github.com/conda-forge/miniforge/releases/latest/download/Miniforge3-MacOSX-arm64.sh" -o miniforge.sh
bash miniforge.sh -b -u -p "$HOME/miniforge"
echo "succesfully installed at $HOME/miniforge"
- name: Install dependencies
run: |
### log release version used
echo "Using tag name ${{ env.RELEASE_VERSION }}"
### refresh root
root="$HOME/AddaxAI_files"
if [ -d "${root}" ]; then
rm -rf "${root}"
echo "$root folder removed"
else
echo "$root folder does not exist"
fi
### set ipv4 settings
export PIP_NO_IPV6=1
export CONDA_SSL_VERIFY=0
export CONDA_USE_IPV4=1
### create folder structure
mkdir -p "${root}"
mkdir -p "${root}/envs"
mkdir -p "${root}/models"
mkdir -p "${root}/models/det"
mkdir -p "${root}/models/cls"
mkdir -p "${root}/models/det/MegaDetector 5a"
mkdir -p "${root}/yolov5_versions/yolov5_old"
mkdir -p "${root}/yolov5_versions/yolov5_new"
echo "Hello world!" >> "${root}/first-startup.txt"
## clone repositories
git clone --ipv4 --depth 1 --branch $BRANCH_NAME https://github.com/PetervanLunteren/EcoAssist.git "${root}/AddaxAI"
rm -rf "${root}/AddaxAI/.git"
mv "${root}/AddaxAI/main.py" "${root}/main.py"
RAW_VERSION=${{ env.RELEASE_VERSION }}
CLEAN_VERSION="${RAW_VERSION#v}"
echo "$CLEAN_VERSION" > "${root}/AddaxAI/version.txt"
echo "AddaxAI cloned"
git clone --ipv4 https://github.com/agentmorris/MegaDetector.git "${root}/MegaDetector"
git -C "${root}/MegaDetector" checkout a64a8f8c467ae6c87b5ca09f54b1abe502168b50
rm -rf "${root}/MegaDetector/.git"
mv "${root}/MegaDetector" "${root}/cameratraps"
echo "MegaDetector cloned"
git clone --ipv4 https://github.com/ultralytics/yolov5.git "${root}/yolov5_versions/yolov5_old/yolov5"
git -C "${root}/yolov5_versions/yolov5_old/yolov5" checkout 868c0e9bbb45b031e7bfd73c6d3983bcce07b9c1
rm -rf "${root}/yolov5_versions/yolov5_old/yolov5/.git"
echo "yolov5 old version cloned"
git clone --ipv4 https://github.com/ultralytics/yolov5.git "${root}/yolov5_versions/yolov5_new/yolov5"
git -C "${root}/yolov5_versions/yolov5_new/yolov5" checkout 3e55763d45f9c5f8217e4dad5ba1e6c1f42e3bf8
rm -rf "${root}/yolov5_versions/yolov5_new/yolov5/.git"
echo "yolov5 new version cloned"
git clone --ipv4 --branch pyside6 --depth 1 https://github.com/PetervanLunteren/Human-in-the-loop.git "${root}/Human-in-the-loop"
rm -rf "${root}/Human-in-the-loop/.git"
echo "Human-in-the-loop cloned"
git clone --ipv4 --depth 1 https://github.com/PetervanLunteren/visualise_detection.git "${root}/visualise_detection"
rm -rf "${root}/visualise_detection/.git"
echo "visualise_detection cloned"
### download megadetector
curl --ipv4 -L https://github.com/agentmorris/MegaDetector/releases/download/v5.0/md_v5a.0.0.pt -o "${root}/models/det/MegaDetector 5a/md_v5a.0.0.pt"
### source conda
source "$HOME/miniforge/etc/profile.d/conda.sh"
source "$HOME/miniforge/bin/activate"
conda_exe="$HOME/miniforge/bin/conda"
### set high timeout value and ip address for ipv4 fallback issues
$conda_exe config --set remote_connect_timeout_secs 120
$conda_exe config --set remote_max_retries 5
$conda_exe config --set remote_read_timeout_secs 120
$conda_exe config --set ssl_verify False
$conda_exe config --set fetch_threads 2
$conda_exe config --show
### install mamba
$conda_exe install mamba -n base -c conda-forge -y
conda_exe="$HOME/miniforge/bin/mamba"
### install env-base
$conda_exe env create --file="${root}/cameratraps/envs/environment-detector-m1.yml" -p "${root}/envs/env-base"
$conda_exe run -p "${root}/envs/env-base" conda install pytorch==1.13.1 torchvision==0.14.1 -c pytorch -y
$conda_exe run -p "${root}/envs/env-base" conda uninstall opencv -y
$conda_exe run -p "${root}/envs/env-base" pip install --timeout=120 opencv-python
$conda_exe run -p "${root}/envs/env-base" pip install --timeout=120 RangeSlider
$conda_exe run -p "${root}/envs/env-base" pip install --timeout=120 gpsphoto
$conda_exe run -p "${root}/envs/env-base" pip install --timeout=120 exifread
$conda_exe run -p "${root}/envs/env-base" pip install --timeout=120 piexif
$conda_exe run -p "${root}/envs/env-base" pip install --timeout=120 openpyxl
$conda_exe run -p "${root}/envs/env-base" pip install --timeout=120 customtkinter
$conda_exe run -p "${root}/envs/env-base" pip install --timeout=120 CTkTable
$conda_exe run -p "${root}/envs/env-base" pip install --timeout=120 folium
$conda_exe run -p "${root}/envs/env-base" pip install --timeout=120 plotly
$conda_exe run -p "${root}/envs/env-base" pip install --timeout=120 "gitpython>=3.1.30"
$conda_exe run -p "${root}/envs/env-base" pip install --timeout=120 "tensorboard>=2.4.1"
$conda_exe run -p "${root}/envs/env-base" pip install --timeout=120 "thop>=0.1.1"
$conda_exe run -p "${root}/envs/env-base" pip install --timeout=120 "protobuf<=3.20.1"
$conda_exe run -p "${root}/envs/env-base" pip install --timeout=120 "setuptools>=65.5.1"
$conda_exe run -p "${root}/envs/env-base" pip install --timeout=120 PySide6
$conda_exe run -p "${root}/envs/env-base" conda install lxml -y
"${root}/envs/env-base/bin/pyside6-rcc" -o "${root}/Human-in-the-loop/libs/resources.py" "${root}/Human-in-the-loop/resources.qrc"
### install env-tensorflow
$conda_exe create -p "${root}/envs/env-tensorflow" python=3.10 -y
$conda_exe run -p "${root}/envs/env-tensorflow" pip install --timeout=120 huggingface_hub==0.23.0
$conda_exe run -p "${root}/envs/env-tensorflow" pip install --timeout=120 jax==0.4.28
$conda_exe run -p "${root}/envs/env-tensorflow" pip install --timeout=120 jaxlib==0.4.28
$conda_exe run -p "${root}/envs/env-tensorflow" pip install --timeout=120 keras==3.3.3
$conda_exe run -p "${root}/envs/env-tensorflow" pip install --timeout=120 keras_cv==0.9.0
$conda_exe run -p "${root}/envs/env-tensorflow" pip install --timeout=120 kimm==0.2.5
$conda_exe run -p "${root}/envs/env-tensorflow" pip install --timeout=120 matplotlib==3.9.0
$conda_exe run -p "${root}/envs/env-tensorflow" pip install --timeout=120 numpy==1.26.4
$conda_exe run -p "${root}/envs/env-tensorflow" pip install --timeout=120 pandas==2.2.2
$conda_exe run -p "${root}/envs/env-tensorflow" pip install --timeout=120 pytest==8.3.0
$conda_exe run -p "${root}/envs/env-tensorflow" pip install --timeout=120 pyyaml==6.0.1
$conda_exe run -p "${root}/envs/env-tensorflow" pip install --timeout=120 scikit-learn==1.4.2
$conda_exe run -p "${root}/envs/env-tensorflow" pip install --timeout=120 tqdm==4.66.4
$conda_exe run -p "${root}/envs/env-tensorflow" pip install --timeout=120 jsonpickle==4.0.1
$conda_exe run -p "${root}/envs/env-tensorflow" pip install --timeout=120 opencv-python==4.11.0.86
$conda_exe run -p "${root}/envs/env-tensorflow" pip install --timeout=120 tensorflow-metal==1.1.0
$conda_exe run -p "${root}/envs/env-tensorflow" pip install --timeout=120 tensorflow-macos==2.16.2
### install env-pytorch
$conda_exe create -p "${root}/envs/env-pytorch" python=3.8 -y
$conda_exe run -p "${root}/envs/env-pytorch" pip install --timeout=120 torch==2.0.1 torchvision==0.15.2
$conda_exe run -p "${root}/envs/env-pytorch" pip install --timeout=120 "ultralytics==8.0.191"
$conda_exe run -p "${root}/envs/env-pytorch" pip install --timeout=120 "numpy==1.24.1"
$conda_exe run -p "${root}/envs/env-pytorch" pip install --timeout=120 "humanfriendly==10.0"
$conda_exe run -p "${root}/envs/env-pytorch" pip install --timeout=120 "jsonpickle==3.0.2"
$conda_exe run -p "${root}/envs/env-pytorch" pip install --timeout=120 timm
$conda_exe run -p "${root}/envs/env-pytorch" pip install --timeout=120 dill
### install env-pywildlife
$conda_exe create -p "${root}/envs/env-pywildlife" python=3.8 -y
$conda_exe run -p "${root}/envs/env-pywildlife" pip install --timeout=120 pytorchwildlife
$conda_exe run -p "${root}/envs/env-pywildlife" pip install --timeout=120 "setuptools<70"
$conda_exe run -p "${root}/envs/env-pywildlife" pip install --timeout=120 jsonpickle
### run pyinstaller from fresh environment
$conda_exe create -p "$HOME/miniforge/envs/env-fresh" python=3.8 pyinstaller -y
$conda_exe run -p "$HOME/miniforge/envs/env-fresh" pyinstaller --onefile --windowed --icon="${root}/AddaxAI/imgs/logo_small_bg.icns" --distpath="${HOME}/dist" --workpath="${HOME}/build" "${root}/main.py"
### clean
$conda_exe clean --all --yes --force-pkgs-dirs
$conda_exe clean --all --yes
### move and rename executables
mv "${HOME}/dist/main" "${root}/AddaxAI debug" # debug executable
mv "${HOME}/dist/main.app" "${root}/AddaxAI.app" # main app executable
- name: Zip folder contents
run: |
cd "$HOME"
tar -caf "macos-${{ env.RELEASE_VERSION }}.tar.xz" AddaxAI_files
# - name: Get the release body
# id: get_release
# run: |
# release=$(gh release view ${{ github.ref_name }} --json body -q .body)
# echo "$release" > release_body.txt
# - name: Append link to release body
# id: append_link
# run: |
# new_body="$(cat release_body.txt)
# - Install for **macOS** (Apple Silicon - M1, M2, M3, etc.): [macos-${{ env.RELEASE_VERSION }}.tar.xz](https://storage.googleapis.com/${{ env.BUCKET_NAME }}/${{ env.RELEASE_VERSION }}/macos-${{ env.RELEASE_VERSION }}.tar.xz)"
# echo "$new_body" > new_release_body.txt
# - name: Update the release body
# run: |
# gh release edit ${{ github.ref_name }} --notes "$(cat new_release_body.txt)"
- name: Install Platypus
run: |
# copy files into the right directory
sudo mkdir -p '/usr/local/share/platypus/'
sudo cp "${{ github.workspace }}/install_files/macos/ScriptExec" '/usr/local/share/platypus/'
sudo cp "${{ github.workspace }}/install_files/macos/platypus_clt" '/usr/local/share/platypus/'
sudo cp -r "${{ github.workspace }}/install_files/macos/MainMenu.nib" '/usr/local/share/platypus/'
# make executable
sudo chmod +x '/usr/local/share/platypus/ScriptExec'
sudo chmod +x '/usr/local/share/platypus/platypus_clt'
- name: Append VERSION and URL to Platypus Installer Script
shell: bash
run: |
# Define the file path
FILE_PATH="${{ github.workspace }}/install_files/macos/platypus-install-compiler.sh"
# Create a new file with the VERSION line
echo "VERSION=\"${{ env.RELEASE_VERSION }}\"" > newFile.sh
# Append the URL line
echo "URL=\"https://storage.googleapis.com/${{ env.BUCKET_NAME }}/latest/macos-latest.tar.xz\"" >> newFile.sh
# Append the original file's content
cat "$FILE_PATH" >> newFile.sh
# Replace the original file with the new file
mv newFile.sh "$FILE_PATH"
- name: Create Installer
run: |
sudo '/usr/local/share/platypus/platypus_clt' --app-icon '${{ github.workspace }}/install_files/macos/logo.icns' --name 'AddaxAI-${{ env.RELEASE_VERSION }}-installer' --interface-type 'Progress Bar' --interpreter '/bin/bash' --app-version '${{ env.RELEASE_VERSION }}' '${{ github.workspace }}/install_files/macos/platypus-install-compiler.sh'
- name: Compress the macOS installer
run: |
cd "${{ github.workspace }}/install_files/macos"
zip -r "AddaxAI-${{ env.RELEASE_VERSION }}-installer.zip" "AddaxAI-${{ env.RELEASE_VERSION }}-installer.app"
- name: Get Upload URL for Release
id: get_upload_url
uses: actions/github-script@v6
with:
script: |
const release = await github.rest.repos.getReleaseByTag({
owner: context.repo.owner,
repo: context.repo.repo,
tag: '${{ env.RELEASE_VERSION }}',
});
// Write the upload URL to the environment file
const fs = require('fs');
fs.appendFileSync(process.env.GITHUB_ENV, `UPLOAD_URL=${release.data.upload_url}\n`);
- name: Authenticate GitHub CLI
run: echo "${{ secrets.GITHUB_TOKEN }}" | gh auth login --with-token
- name: Remove existing asset if present
run: |
# List all assets in the release
release_info=$(curl -H "Authorization: token ${{ secrets.GITHUB_TOKEN }}" \
https://api.github.com/repos/${{ github.repository }}/releases/tags/${{ env.RELEASE_VERSION }}
)
# Extract asset ID by matching the name
asset_id=$(echo $release_info | jq -r '.assets[] | select(.name == "MacOS-installer-${{ env.RELEASE_VERSION }}.zip") | .id')
echo "asset_id is $asset_id"
# Check if the asset exists and delete it
if [ ! -z "$asset_id" ]; then
curl -X DELETE \
-H "Authorization: token ${{ secrets.GITHUB_TOKEN }}" \
"https://api.github.com/repos/${{ github.repository }}/releases/assets/$asset_id"
else
echo "Asset not found. Continue with upload..."
fi
- name: Upload Asset to GitHub Release
uses: actions/upload-release-asset@v1
with:
upload_url: ${{ env.UPLOAD_URL }}
asset_path: "${{ github.workspace }}/install_files/macos/AddaxAI-${{ env.RELEASE_VERSION }}-installer.zip"
asset_name: "MacOS-installer-${{ env.RELEASE_VERSION }}.zip"
asset_content_type: application/octet-stream
env:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
- name: Authenticate with Google Cloud
uses: google-github-actions/auth@v1
with:
credentials_json: ${{ secrets.GOOGLE_STORAGE_UPLOAD_KEY }}
- name: Set up Google Cloud
uses: google-github-actions/setup-gcloud@v1
with:
project_id: github-file-storage
- name: Upload program files to Google Cloud
run: |
cd "$HOME"
# init vars
BUCKET_NAME="${{ env.BUCKET_NAME }}"
PINNED_FOLDER_NAME="${{ env.RELEASE_VERSION }}"
LATEST_FOLDER_NAME="latest"
PINNED_FILE_NAME="macos-${{ env.RELEASE_VERSION }}.tar.xz"
LATEST_FILE_NAME="macos-latest.tar.xz"
# # upload release pinned version
# # feb 2025 - disabled to save sapce on github and reduce monthly costs
# gsutil cp -r $PINNED_FILE_NAME gs://$BUCKET_NAME/$PINNED_FOLDER_NAME/$PINNED_FILE_NAME
# upload latest release version
gsutil cp -r $PINNED_FILE_NAME gs://$BUCKET_NAME/$LATEST_FOLDER_NAME/$LATEST_FILE_NAME
- name: Upload installer to Google Cloud
run: |
cd "${{ github.workspace }}/install_files/macos/"
INSTALLER="AddaxAI-${{ env.RELEASE_VERSION }}-installer.zip"
gsutil cp -r $INSTALLER gs://${{ env.BUCKET_NAME }}/latest/AddaxAI-latest-installer.zip