initial

samples/jupyter-postgres/.devcontainer/Dockerfile

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+FROM mcr.microsoft.com/devcontainers/python:3.12-bookworm

samples/jupyter-postgres/.devcontainer/devcontainer.json

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+{
+  "build": {
+    "dockerfile": "Dockerfile",
+    "context": ".."
+  },
+  "features": {
+    "ghcr.io/defanglabs/devcontainer-feature/defang-cli:1.0.4": {},
+    "ghcr.io/devcontainers/features/docker-in-docker:2": {},
+    "ghcr.io/devcontainers/features/aws-cli:1": {}
+  }
+}

samples/jupyter-postgres/.github/workflows/deploy.yaml

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+name: Deploy
+
+on:
+  push:
+    branches:
+      - main
+
+jobs:
+  deploy:
+    environment: playground
+    runs-on: ubuntu-latest
+    permissions:
+      contents: read
+      id-token: write
+
+    steps:
+    - name: Checkout Repo
+      uses: actions/checkout@v4
+
+    - name: Deploy
+      uses: DefangLabs/[email protected]

samples/jupyter-postgres/README.md

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+# Jupyter & Postgres
+
+[![1-click-deploy](https://defang.io/deploy-with-defang.png)](https://portal.defang.dev/redirect?url=https%3A%2F%2Fgithub.com%2Fnew%3Ftemplate_name%3Dsample-jupyter-postgres-template%26template_owner%3DDefangSamples)
+
+This sample shows you how to spin up a postgres database and a Jupyter notebook server. This is useful if you want to use Jupyter notebooks to read data from or persist data to a database.
+
+## Prerequisites
+
+1. Download [Defang CLI](https://github.com/DefangLabs/defang)
+2. (Optional) If you are using [Defang BYOC](https://docs.defang.io/docs/concepts/defang-byoc) authenticate with your cloud provider account
+3. (Optional for local development) [Docker CLI](https://docs.docker.com/engine/install/)
+
+## Development
+
+To run the application locally, you can use the following command:
+
+```bash
+# This might be `docker compose -f compose.dev.yaml up --build` depending on the project. #REMOVE_ME_AFTER_EDITING
+docker compose up --build
+```
+
+## Configuration
+
+For this sample, you will need to provide the following [configuration](https://docs.defang.io/docs/concepts/configuration): 
+
+> Note that if you are using the 1-click deploy option, you can set these values as secrets in your GitHub repository and the action will automatically deploy them for you.
+
+### `POSTGRES_PASSWORD`
+The password to use for the postgres database.
+```bash
+defang config set POSTGRES_PASSWORD
+```
+
+### `JUPYTER_TOKEN`
+The token to access your Jupyter notebook server.
+```bash
+defang config set JUPYTER_TOKEN
+```
+
+## Deployment
+
+> [!NOTE]
+> Download [Defang CLI](https://github.com/DefangLabs/defang)
+
+### Defang Playground
+
+Deploy your application to the Defang Playground by opening up your terminal and typing:
+```bash
+defang compose up
+```
+
+### BYOC (AWS)
+
+If you want to deploy to your own cloud account, you can use Defang BYOC:
+
+1. [Authenticate your AWS account](https://docs.aws.amazon.com/cli/latest/userguide/cli-chap-configure.html), and check that you have properly set your environment variables like `AWS_PROFILE`, `AWS_REGION`, `AWS_ACCESS_KEY_ID`, and `AWS_SECRET_ACCESS_KEY`.
+2. Run in a terminal that has access to your AWS environment variables:
+    ```bash
+    defang --provider=aws compose up
+    ```
+
+---
+
+Title: Jupyter & Postgres
+
+Short Description: This sample shows you how to spin up a postgres database and a Jupyter notebook server.
+
+Tags: Jupyter, Postgres, Database
+
+Languages: Python, SQL

samples/jupyter-postgres/compose.dev.yaml

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+services:
+  jupyter:
+    extends:
+      service: jupyter
+      file: compose.yaml
+    environment:
+      JUPYTER_TOKEN: jupyter
+      POSTGRES_PASSWORD: password
+    volumes:
+      - ./jupyter/notebooks:/home/jovyan/work
+
+  db:
+    image: postgres:14
+    environment:
+      POSTGRES_PASSWORD: password
+    ports:
+      - "5432:5432"
+    volumes:
+      - postgres_data:/var/lib/postgresql/data
+
+volumes:
+  postgres_data:

samples/jupyter-postgres/compose.yaml

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+services:
+  jupyter:
+    # Uncomment the following line and run `defang cert generate` to generate an ssl certificate for your domain
+    # domainname: notebooks.mycompany.com
+    build:
+      context: ./jupyter
+    ports:
+      - mode: ingress
+        target: 8888
+        published: 8888
+    environment:
+      JUPYTER_TOKEN:
+      POSTGRES_PASSWORD:
+    healthcheck:
+      test: ["CMD", "curl", "-f", "http://localhost:8888/login" ]
+    depends_on:
+      - db
+
+  db:
+    image: postgres:14
+    x-defang-postgres: true
+    healthcheck:
+      test: ["CMD-SHELL", "pg_isready -U postgres"]
+    environment:
+      POSTGRES_PASSWORD:

samples/jupyter-postgres/jupyter/Dockerfile

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+FROM jupyter/datascience-notebook
+
+# 4.002       Error: pg_config executable not found.
+# make sure the development packages are installed
+
+USER root
+
+RUN apt-get update && apt-get install -y libpq-dev
+
+USER 1000
+
+COPY requirements.txt /tmp/
+RUN pip install --no-cache-dir -r /tmp/requirements.txt