Packaging the project

.github/workflows/deploy.yml

@@ -0,0 +1,40 @@
+
+name : Deploy Panel App
+
+concurrency: production
+
+on:
+  push:
+    branches:
+      - main
+  pull_request:
+    branches:
+      - main
+
+jobs:
+  deploy:
+    name: Deploy Panel App
+    runs-on: ubuntu-latest
+    environment: production
+
+    steps:
+      - name: Checkout code
+        uses: actions/checkout@v2
+
+      - name: Set up SSH
+        run: |
+          mkdir -p ~/.ssh/
+          echo "${{secrets.SSH_PRIVATE_KEY}}" > ~/.ssh/id_ed25519
+          chmod 600 ~/.ssh/id_ed25519
+          ssh-keyscan -t ed25519 -H ${{secrets.PROD_IP}} >> ~/.ssh/known_hosts
+
+      - name: Deploy to Server
+        run: |
+          ssh ubuntu@${{secrets.PROD_IP}} << 'EOF'
+          # Arrêter le serveur Panel
+          pkill -f 'streamlit run'
+          cd ${{vars.PROD_PATH}}
+          git pull
+          git lfs pull
+          nohup hatch run serve:prod </dev/null  >./log-prod.log 2>&1 &
+          EOF

.github/workflows/page_deploy.yml

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+name: documentation
+
+on: [push, pull_request, workflow_dispatch]
+
+# Sets permissions of the GITHUB_TOKEN to allow deployment to GitHub Pages
+permissions:
+    contents: read
+    pages: write
+    id-token: write
+
+jobs:
+  docs:
+    environment:
+      name: github-pages
+      url: ${{ steps.deployment.outputs.page_url }}
+    runs-on: ubuntu-latest
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v3
+      - name: Set up Python
+        uses: actions/setup-python@v3
+      - name: Install dependencies
+        run: |
+          sudo apt update
+          sudo apt install pandoc
+          sudo apt install pipx
+          pipx install hatch
+      - name: sphinx build
+        run: |
+          hatch run docs:build
+      - name: Setup Pages
+        uses: actions/configure-pages@v5
+      - name: Upload artifact
+        uses: actions/upload-pages-artifact@v3
+        with:
+          # Upload entire repository
+          path: './doc/_build'
+      - name: Deploy to GitHub Pages
+        id: deployment
+        uses: actions/deploy-pages@v4

.gitignore

@@ -160,3 +160,6 @@ cython_debug/
 #  option (not recommended) you can uncomment the following to ignore the entire idea folder.
 #.idea/
 notebooks/weather/forcasts/*.parquet
+data/bronze/*/*.xls
+data/bronze/*.xls
+doc/_build

.vscode/settings.json

@@ -0,0 +1,3 @@
+{
+    "taipyStudio.gUI.elementsFilePaths": []
+}

README.md

@@ -1 +1,75 @@
-# energetic-stress-production
+# Forecast of French electric mix
+
+The aim of this project is to forecast the French electric mix for the next few days.
+
+The electric mix is the relative proportion of each energy source used to produce electricity. The main energy sources are: nuclear, wind, solar, hydraulic, coal, gas, bioenergy and waste.
+
+The Wind and solar energy sources are green, but they are intermittent and depend on the weather. The hydraulic energy source is also dependent on the weather, but to a lesser extent.
+
+Hence, the weather directly impacts the CO2 emissions of the electry consumption.
+Knowing the CO2 emission forecast can help plan the time of use of electric devices to reduce the carbon footprint.
+
+## Description of the project
+
+The project is divided into 2 parts:
+1. Analysis of the historical data
+2. Forecast of the electric mix
+
+### 1. Analysis of the historical data
+We gathered the data from the French electricity transmission system operator RTE (Réseau de Transport d'Electricité) and the French meteorological service Météo France.
+The data start in 2022 and end in 2024.
+
+We used the data to:
+- train a model to predict the electric mix
+- assess the performance of the model
+- identify the main factors influencing the electric mix
+
+### 2. Forecast of the electric mix
+We will use the model trained in the first part to forecast the electric mix for the next few days.
+
+The forecast is updated every day.
+
+A website will be created to display the forecast.
+
+## Installation
+
+We use [hatch](https://hatch.pypa.io) to manage the project.
+
+There is [a bug](https://github.com/ecmwf/eccodes-python/issues/88) in the current version of `eccodes`, failing the installation.
+Installing with `conda` first solved the issue for me.
+
+Run the following commands to check if `eccodes` is installed:
+```bash
+python -m eccodes selfcheck
+```
+
+### Interactive mode
+
+You can use Hatch to activate the virtual environment and install the dependencies with:
+```bash
+hatch shell
+```
+This will open a shell with the virtual environment activated.
+The dependencies listed in the `pyproject.toml` file will be installed automatically.
+
+### Run the tests
+You can run the tests with:
+```bash
+hatch test
+```
+This will run the tests in the virtual environment.
+
+### Serve the Dashboard
+
+You can serve the dashboard with:
+```bash
+hatch serve:prod
+```
+This will serve the dashboard on `http://localhost:8000`.
+
+## The dashboard
+The dashoard is developed with [Taipy](https://docs.taipy.io/en/latest/).
+Lauchind the app will automaticaly
+- Download the weather forecast
+- Download the electricity mix history
+- Display the forecast