Added github workflow. Dockerized and poetrized app.

.github/workflows/main.yml

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+# This is a basic workflow to help you get started with Actions
+
+name: Unittests
+
+# Controls when the action will run.
+on:
+  # Triggers the workflow on push or pull request events but only for the master branch
+  push:
+    branches: [ master, develop ]
+  pull_request:
+    branches: [ master, develop ]
+
+  # Allows you to run this workflow manually from the Actions tab
+  workflow_dispatch:
+
+# A workflow run is made up of one or more jobs that can run sequentially or in parallel
+jobs:
+
+  # This workflow contains a single job called "build"
+  build:
+    environment: Master
+    # The type of runner that the job will run on
+    runs-on: ubuntu-latest
+
+    # Steps represent a sequence of tasks that will be executed as part of the job
+    steps:
+      # Checks-out your repository under $GITHUB_WORKSPACE, so your job can access it
+      - uses: actions/checkout@v2
+      - run: touch .env
+      - run: docker-compose pull
+
+      # In this step, this action saves a list of existing images,
+      # the cache is created without them in the post run.
+      # It also restores the cache if it exists.
+      - uses: satackey/[email protected]
+        # Ignore the failure of a step and avoid terminating the job.
+        continue-on-error: true
+
+      - run: docker-compose build
+
+      # Runs a single command using the runners shell
+      - name: Run Unit Tests
+        run: docker-compose run web poetry run python -m unittest
+      - name: Build and publish to pypi
+        if: github.ref == 'refs/heads/master'
+        uses: JRubics/[email protected]
+        with:
+          pypi_token: ${{ secrets.PYPI_TOKEN }}
+          ignore_dev_requirements: "yes"

Dockerfile

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+FROM capless/capless-docker:jupyter
+COPY . /code
+RUN python -m pip install --upgrade poetry
+RUN poetry run pip install --upgrade pip
+RUN poetry install

docker-compose.yaml

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+version: '3.7'
+
+services:
+  web:
+    restart: always
+    build:
+      dockerfile: Dockerfile
+      context: .
+    expose:
+      - "8011"
+    ports:
+      - 8011:8888
+    volumes:
+      - ./sammy/:/code/sammy
+    env_file: .env
+    working_dir: /code/
+    command: /root/.cache/pypoetry/virtualenvs/envs-MATOk_fk-py3.9/bin/jupyter notebook --port=8888 --ip=0.0.0.0 --allow-root
+