Adding dummy Dash app

.github/workflows/docker-build.yaml

@@ -59,12 +59,12 @@ jobs:
     - name: Set up Docker Buildx
       uses: docker/setup-buildx-action@v3
     - name: Docker build
-      run: bash scripts/docker/build.sh mlflow
+      run: bash scripts/docker/build.sh app
     - name: Login to GitHub Package Registry
       uses: docker/login-action@v2
       with:
           registry: ghcr.io
           username: ${{ github.repository_owner }}
           password: ${{ secrets.GHCR_TOKEN }}
     - name: Docker push
-      run: bash scripts/docker/push.sh mlflow
+      run: bash scripts/docker/push.sh app

app/app.py

@@ -0,0 +1,26 @@
+import pandas as pd
+import plotly.express as px
+from dash import Dash, Input, Output, callback, dcc, html
+
+df = pd.read_csv(
+    "https://raw.githubusercontent.com/plotly/datasets/master/gapminder_unfiltered.csv"
+)
+
+app = Dash()
+server = app.server
+
+app.layout = [
+    html.H1(children="Title of Dash App", style={"textAlign": "center"}),
+    dcc.Dropdown(df.country.unique(), "Canada", id="dropdown-selection"),
+    dcc.Graph(id="graph-content"),
+]
+
+
+@callback(Output("graph-content", "figure"), Input("dropdown-selection", "value"))
+def update_graph(value: str) -> px.line:
+    dff = df[df.country == value]
+    return px.line(dff, x="year", y="pop")
+
+
+if __name__ == "__main__":
+    app.run_server(host="0.0.0.0", port="8000")

docker-compose.yaml

@@ -1,5 +1,28 @@
 services:
 
+  app:
+    image: ghcr.io/jbris/deep-root-gen:${APP_VERSION}
+    build:
+      context: .
+      dockerfile: ./dockerfiles/python/Dockerfile.${APP_VERSION}  
+      args:
+        BUILD_DATE: date -u +'%Y-%m-%dT%H:%M:%SZ'
+    restart: always
+    stop_grace_period: 10s
+    environment:
+      MLFLOW_BACKEND_STORE_URI: $MLFLOW_BACKEND_STORE_URI
+      MLFLOW_S3_ENDPOINT_URL: http://minio:9000
+      AWS_ACCESS_KEY_ID: $AWS_ACCESS_KEY_ID
+      AWS_SECRET_ACCESS_KEY: $AWS_SECRET_ACCESS_KEY
+      PREFECT_URL: http://prefect:4200/api
+      PREFECT_API_DATABASE_CONNECTION_URL: $PREFECT_API_DATABASE_CONNECTION_URL
+    ports:
+      - 8000:8000
+    volumes:
+      - ./app/app.py:/app/app.py
+    command: >
+      gunicorn -b 0.0.0.0:8000 -w 4 app:server
+      
   mlflow:
     image: ghcr.io/jbris/deep-root-gen:${APP_VERSION}
     build:

dockerfiles/python/Dockerfile.0.1.0

@@ -12,6 +12,8 @@ COPY README.md README.md
 
 COPY deeprootgen deeprootgen
 
+COPY app/app.py app.py
+
 RUN apt-get update \
     && apt-get install -y --no-install-recommends build-essential libpq-dev graphviz \
     && apt-get clean \
@@ -40,4 +42,6 @@ ENV VIRTUAL_ENV=/app/.venv \
 
 COPY --from=builder ${VIRTUAL_ENV} ${VIRTUAL_ENV}
 
-RUN chmod -R 755 /app
+RUN chmod -R 755 /app
+
+EXPOSE 8000