Add basic Dockerfile

# Python-related

venv

.venv

**/__pycache__

# JavaScript-related

package.json

package-lock.json

node_modules

# PyCharm configuration

.idea

# VS Code configuration

*.code-workspace

# Local instance data and configuration

instance

# Environment files (might contain secrets)

.env

# Git and Docker

.git

.gitlab-ci.yml

.dockerignore

.gitignore

Dockerfile

# Taken and modified from https://docs.gitlab.com/ee/ci/docker/using_kaniko.html

# Licensed under CC BY-SA 4.0 (see LICENSE-3RD-PARTY.md)

build-docker:

    image:

        name: gcr.io/kaniko-project/executor:debug

        entrypoint: [""]

    stage: build

    before_script:

        - mkdir -p /kaniko/.docker

        - echo "{\"auths\":{\"$CI_REGISTRY\":{\"username\":\"$CI_REGISTRY_USER\",\"password\":\"$CI_REGISTRY_PASSWORD\"}}}" > /kaniko/.docker/config.json

    script:

        - echo "{\"commit\":\"$CI_COMMIT_SHA\",\"datetime\":\"$CI_COMMIT_TIMESTAMP\"}" > SCHWALBE_VERSION

        - /kaniko/executor --context $CI_PROJECT_DIR --dockerfile $CI_PROJECT_DIR/Dockerfile --destination $CI_REGISTRY_IMAGE:$CI_COMMIT_TAG

    only:

        - master

# End of adapted snippet

FROM python:3.13

COPY --from=ghcr.io/astral-sh/uv:latest /uv /uvx /bin/

# We will use /app as our main directory within the Docker container

WORKDIR /app

RUN apt-get update \

    && apt-get install -y \

    pandoc \

    && apt-get clean \

    && rm -rf /var/lib/apt/lists/*

# First, copy and install only the requirements...

COPY pyproject.toml .

COPY uv.lock .

RUN uv sync --locked

# ... then the rest of the application. This allows the installation stage to be cached most of the time

# (so we don't have reinstall of all dependencies every time the container is rebuilt)

COPY . .

ENTRYPOINT ["uv", "run", "coliverter"]