Docker container

README.rst

@@ -178,3 +178,36 @@ and deployed automatically when making a tagged released. To do so you need to:
 
 After merging to master, the workflow creates the tag and Github release for 
 this version and uploads its wheel file to Pypi.
+
+
+Docker
+======
+
+Cvcreator can also be run in a docker container. To build the container image,
+run the following command from the repository root:
+
+.. code:: bash
+
+    docker build -t cvcreator .
+
+Example usage of running cvcreator in the docker container:
+
+.. code:: bash  
+
+    docker run --rm -v $(pwd):/data cvcreator create /data/example.toml /data/my_cv.pdf
+
+This will mount the current working directory into the container at /data, and
+run the cvcreator command to create a CV from example.toml to my_cv.pdf.
+
+If you want it even simpler (and always have to stand in the directory where your files are located), 
+you can create an alias in your shell configuration file like this:
+
+.. code:: bash
+
+    alias cvcreator='docker run --rm -v $(pwd):/data cvcreator'
+
+Then you can run cvcreator commands as if it was installed on your system, e.g.:
+
+.. code:: bash
+
+    cvcreator create /data/example.toml /data/my_cv.pdf

dockerfile

@@ -0,0 +1,34 @@
+# Start with a minimal TeX Live image as base and install other
+# necessary packages separately to keep the image size small.
+FROM texlive/texlive:latest-small
+
+# Install additional TeX Live collections for language support
+RUN tlmgr update --self && \
+    tlmgr install collection-langeuropean && \
+    tlmgr install changepage enumitem multirow titlesec
+
+# Install Python and curl for uv installation
+RUN apt-get update && \
+    apt-get install -y python3 python3-pip curl && \
+    apt-get clean && \
+    rm -rf /var/lib/apt/lists/*
+
+# Install uv (Because it is the best --- Fight me!)
+RUN curl -LsSf https://astral.sh/uv/install.sh | sh
+ENV PATH="/root/.local/bin:$PATH"
+
+# Set working directory
+WORKDIR /app
+
+# Copy project files
+COPY pyproject.toml README.rst ./
+COPY cvcreator ./cvcreator
+
+# Create virtual environment and install project with dev dependencies
+RUN uv venv /opt/venv
+ENV PATH="/opt/venv/bin:$PATH"
+RUN uv pip install -e ".[dev]"
+
+# Set the entrypoint to the cv command
+ENTRYPOINT ["/opt/venv/bin/cv"]
+