chore: Optimize Dockerfile and update run script (#99)

# Pull Request

## Description

This PR optimises the Docker build process and updates the run script
for improved execution:

- Implements a multi-stage Docker build to reduce image size
- Uses `poetry export` to generate a `requirements.txt` file
- Installs dependencies directly from `requirements.txt` instead of
using Poetry in the final image
- Updates the `run.sh` script to change directories, display environment
variables, and execute the analyser module directly with Python instead
of using Poetry

These changes aim to streamline the build process, reduce the final
image size, and simplify the execution of the analyser.

fixes #100

Dockerfile

@@ -1,6 +1,13 @@
 #checkov:skip=CKV_DOCKER_2
 #checkov:skip=CKV_DOCKER_3
-FROM python:3.12-alpine
+FROM python:3.12-alpine AS builder
+
+WORKDIR /
+
+COPY pyproject.toml poetry.lock ./
+RUN pip install --no-cache-dir poetry==1.8.3 && poetry export --output=requirements.txt
+
+FROM python:3.12-alpine AS analyser
 
 WORKDIR /
 
@@ -9,13 +16,9 @@ RUN mkdir -p /statistics && \
   apk add --no-cache git=2.45.2-r0
 
 COPY --chmod=755 run.sh run.sh
-
 COPY analyser analyser
-COPY pyproject.toml poetry.lock ./
-
-RUN pip install --no-cache-dir poetry==1.8.3 \
-  && poetry install --no-dev
 
-ENV PYTHONPATH=/
+COPY --from=builder requirements.txt requirements.txt
+RUN pip install --no-cache-dir -r requirements.txt
 
 ENTRYPOINT [ "/run.sh" ]

run.sh

@@ -1,11 +1,14 @@
 #!/bin/sh
 set -e +x
 
+cd ..
+cd ..
 # Echo cwd
 echo "Current working directory: $(pwd)"
-
 # Show files
 ls -la
 
+printenv
+
 # Run the analyser
-poetry run python -m analyser
+python -m analyser