feat: Initial setup for JMA Weather Explorer, including README, Dockerfile, and Hugging Face deployment workflow.
Browse files- .github/workflows/main.yml +49 -0
- Dockerfile +29 -0
- README.md +13 -0
.github/workflows/main.yml
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name: Sync to Hugging Face Hub
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on:
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push:
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branches: [main]
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workflow_dispatch:
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jobs:
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sync-to-hub:
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runs-on: ubuntu-latest
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steps:
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- uses: actions/checkout@v3
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with:
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fetch-depth: 0
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lfs: true
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- name: Configure Git user
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run: |
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git config --global user.email "alexandru.dumitrescu@gmail.com"
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git config --global user.name "alexdum"
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- name: Install Git LFS
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run: |
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sudo apt-get update
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sudo apt-get install git-lfs
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git lfs install
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- name: Track data folder with Git LFS
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run: |
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tracked=false
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if ! git lfs track --list | grep -Fq "data/**"; then
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git lfs track "data/**"
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tracked=true
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fi
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if [ "$tracked" = true ]; then
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git add .gitattributes
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git commit -m "Configure Git LFS for data folder"
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fi
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- name: Add and commit any changes
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run: |
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git add .
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git diff-index --quiet HEAD || git commit -m "Sync data files for Hugging Face"
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- name: Push to Hugging Face
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env:
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HF_TOKEN: ${{ secrets.HF_TOKEN }}
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run: |
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git push -f https://alexdum:$HF_TOKEN@huggingface.co/spaces/alexdum/jma main
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Dockerfile
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FROM rocker/shiny-verse:latest
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WORKDIR /code
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# Install R packages
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# listed explicitly to ensure all dependencies are met
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RUN install2.r --error \
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shiny \
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bslib \
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bsicons \
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leaflet \
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dplyr \
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readr \
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DT \
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plotly \
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ggplot2 \
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shinyjs \
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later \
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htmltools \
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rvest \
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stringr \
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lubridate \
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purrr \
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jsonlite \
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curl
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COPY . .
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CMD ["R", "--quiet", "-e", "shiny::runApp(host='0.0.0.0', port=7860)"]
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README.md
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---
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title: JMA Weather Explorer
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emoji: 🇯🇵
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colorFrom: blue
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colorTo: white
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sdk: docker
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app_port: 7860
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---
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# JMA Weather Explorer
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Explore Japanese Meteorological Agency (JMA) weather data including daily, hourly, and 10-minute resolutions.
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Interactive map visualization and data downloading included.
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