bake data.csv into docker image

.dockerignore

@@ -20,10 +20,6 @@ venv/
 # Local output
 dist/
 
-# Don't bake data into the image — mount it at runtime
-# data.csv is excluded here so it must be provided via docker-compose volume
-data.csv
-
 # Git
 .git/
 .gitignore

Dockerfile

@@ -2,21 +2,29 @@ FROM ghcr.io/astral-sh/uv:python3.13-bookworm-slim
 
 WORKDIR /app
 
-# Copy dependency files first (better caching)
+# 1. Copy dependency files first for layer caching
 COPY pyproject.toml uv.lock ./
 
-# Install dependencies into project environment
+# 2. Install dependencies
 RUN uv sync --frozen --no-dev
 
-# Copy app source
+# 3. Explicitly copy data.csv first to ensure it exists 
+# (This will fail the build if the file is missing locally)
+COPY data.csv ./data.csv
+
+# 4. Copy the rest of the source code
 COPY . .
 
+# 5. Environment Setup
 ENV PYTHONUNBUFFERED=1
+# Points to the src folder so Python can find your modules
 ENV PYTHONPATH=/app/src
+# Points to the file we just baked into the root
 ENV DATA_CSV_PATH=/app/data.csv
 ENV UV_PROJECT_ENVIRONMENT=/app/.venv
 ENV UV_LINK_MODE=copy
 
 EXPOSE 8000
 
-CMD ["uv", "run", "gunicorn", "--workers", "2", "--bind", "0.0.0.0:8000", "app:app"]
+# 6. Run from the root, but point Gunicorn to the app inside src
+CMD ["uv", "run", "gunicorn", "--workers", "2", "--bind", "0.0.0.0:8000", "--chdir", "/app/src", "app:app"]