name: Publish

on:
  release:
    types:
      - created

jobs:
  publish:
    runs-on: ubuntu-latest
    strategy:
      matrix:
        package:
          - fastapi
          - fastapi-slim
    permissions:
      id-token: write
    steps:
      - name: Dump GitHub context
        env:
          GITHUB_CONTEXT: ${{ toJson(github) }}
        run: echo "$GITHUB_CONTEXT"
      - uses: actions/checkout@v4

      - name: Install Pydantic v2
        run: pip install "pydantic>=2.0.2,<3.0.0"
      - name: Lint
        run: bash scripts/lint.sh

  test:
    runs-on: ubuntu-latest
    strategy:
      matrix:
        python-version:
          - "3.12"
          - "3.11"
          - "3.10"
          - "3.9"
          - "3.8"
        pydantic-version: ["pydantic-v1", "pydantic-v2"]

name: Test Redistribute

on:
  push:
    branches:
      - master
  pull_request:
    types:
      - opened
      - synchronize

jobs:
  test-redistribute:
    runs-on: ubuntu-latest
    strategy:
      matrix:
        package:
          - fastapi
          - fastapi-slim
    steps:
      - name: Dump GitHub context
        env:
          GITHUB_CONTEXT: ${{ toJson(github) }}

  build-docs:
    needs:
      - changes
      - langs
    if: ${{ needs.changes.outputs.docs == 'true' }}
    runs-on: ubuntu-latest
    strategy:
      matrix:
        lang: ${{ fromJson(needs.langs.outputs.langs) }}
    steps:
      - name: Dump GitHub context
        env:
          GITHUB_CONTEXT: ${{ toJson(github) }}
        run: echo "$GITHUB_CONTEXT"

---

"_If anyone is looking to build a production Python API, I would highly recommend **FastAPI**. It is **beautifully designed**, **simple to use** and **highly scalable**, it has become a **key component** in our API first development strategy and is driving many automations and services such as our Virtual TAC Engineer._"

---

"_If anyone is looking to build a production Python API, I would highly recommend **FastAPI**. It is **beautifully designed**, **simple to use** and **highly scalable**, it has become a **key component** in our API first development strategy and is driving many automations and services such as our Virtual TAC Engineer._"

---

"_If anyone is looking to build a production Python API, I would highly recommend **FastAPI**. It is **beautifully designed**, **simple to use** and **highly scalable**, it has become a **key component** in our API first development strategy and is driving many automations and services such as our Virtual TAC Engineer._"

The **good news** is that with each different strategy there's a way to cover all of the deployment concepts. 🎉

Let's review these **deployment concepts** in terms of containers:

* HTTPS
* Running on startup
* Restarts

Die **gute Nachricht** ist, dass es mit jeder unterschiedlichen Strategie eine Möglichkeit gibt, alle Deployment-Konzepte abzudecken. 🎉

Sehen wir uns diese **Deployment-Konzepte** im Hinblick auf Container noch einmal an:

* Sicherheit – HTTPS
* Beim Hochfahren ausführen
* Neustarts