Create Dockerfile

Dockerfile

@@ -1,20 +1,38 @@
-FROM python:3.13.5-slim
+# Use the official lightweight Python image.
+# "Slim" keeps the file size down (better for cloud costs).
+FROM python:3.9-slim
 
+# Set the working directory inside the container
 WORKDIR /app
 
+# Prevent Python from writing pyc files to disc (useless in containers)
+ENV PYTHONDONTWRITEBYTECODE=1
+# Prevent Python from buffering stdout/stderr (so you see logs immediately)
+ENV PYTHONUNBUFFERED=1
+
+# Install system dependencies (sometimes needed for Plotly/Pandas)
 RUN apt-get update && apt-get install -y \
     build-essential \
     curl \
+    software-properties-common \
     git \
     && rm -rf /var/lib/apt/lists/*
 
-COPY requirements.txt ./
-COPY src/ ./src/
+# Copy the requirements file first (for better caching)
+COPY requirements.txt .
+
+# Install Python dependencies
+RUN pip3 install --no-cache-dir -r requirements.txt
 
-RUN pip3 install -r requirements.txt
+# Copy the rest of the application code
+COPY . .
 
+# Expose the port Streamlit runs on
 EXPOSE 8501
 
-HEALTHCHECK CMD curl --fail http://localhost:8501/_stcore/health
+# The Healthcheck (Critical for "High Availability" systems)
+HEALTHCHECK CMD curl --fail http://localhost:8501/_stcore/health || exit 1
 
-ENTRYPOINT ["streamlit", "run", "src/streamlit_app.py", "--server.port=8501", "--server.address=0.0.0.0"]
+# Command to run the app
+# address=0.0.0.0 is MANDATORY for Docker
+ENTRYPOINT ["streamlit", "run", "app.py", "--server.port=8501", "--server.address=0.0.0.0"]