Update Dockerfile

Dockerfile

@@ -1,47 +1,50 @@
-# Use a more recent, slim Python base image
-FROM python:3.10-slim
-
-# Set the working directory in the container
-WORKDIR /app
-
-# Prevent Python from writing pyc files to disc (optional)
-ENV PYTHONDONTWRITEBYTECODE 1
-# Ensure Python output is sent straight to terminal (useful for logs)
-ENV PYTHONUNBUFFERED 1
-
-# Upgrade pip
-RUN python -m pip install --upgrade pip
-
-# Copy the requirements file into the container
-COPY requirements.txt .
-
-# Install dependencies
-# --no-cache-dir reduces image size
-# --default-timeout=100 increases timeout for pip install
-RUN pip install --no-cache-dir --default-timeout=100 -r requirements.txt
-
-# Copy the application code into the container
-# This includes the API file and the core logic directory
-COPY api.py .
-COPY ./kig_core ./kig_core
-
-# Expose the port the API runs on (defined in api.py/uvicorn command)
-EXPOSE 8000
-
-# Command to run the Uvicorn server
-# It will look for an object named 'app' in the 'api.py' file
-# Runs on port 8000 and listens on all interfaces (0.0.0.0)
-# Note: For production, consider removing --reload
-CMD ["uvicorn", "api:app", "--host", "0.0.0.0", "--port", "8000"]
-
-# --- Notes ---
-# Environment Variables:
-# This Dockerfile assumes you will provide necessary environment variables
-# (NEO4J_URI, NEO4J_PASSWORD, GEMINI_API_KEY, OPENAI_API_KEY, etc.)
-# when running the container, for example using 'docker run -e VAR=value ...'
-# or a docker-compose.yml file.
-# DO NOT hardcode secrets directly in the Dockerfile.
-#
-# Cache Folders:
-# Removed HF_HOME/TORCH_HOME as this app primarily uses external APIs (Gemini/OpenAI)
+# Use a more recent, slim Python base image
+FROM python:3.10-slim
+
+# Set the working directory in the container
+WORKDIR /app
+
+# Prevent Python from writing pyc files to disc (optional)
+ENV PYTHONDONTWRITEBYTECODE 1
+# Ensure Python output is sent straight to terminal (useful for logs)
+ENV PYTHONUNBUFFERED 1
+
+# Upgrade pip
+RUN python -m pip install --upgrade pip
+
+# Copy the requirements file into the container
+COPY requirements.txt .
+
+# Install dependencies
+# --no-cache-dir reduces image size
+# --default-timeout=100 increases timeout for pip install
+RUN pip install --no-cache-dir --default-timeout=100 -r requirements.txt
+
+
+COPY .env .
+
+# Copy the application code into the container
+# This includes the API file and the core logic directory
+COPY api.py .
+COPY ./kig_core ./kig_core
+
+# Expose the port the API runs on (defined in api.py/uvicorn command)
+EXPOSE 8000
+
+# Command to run the Uvicorn server
+# It will look for an object named 'app' in the 'api.py' file
+# Runs on port 8000 and listens on all interfaces (0.0.0.0)
+# Note: For production, consider removing --reload
+CMD ["uvicorn", "api:app", "--host", "0.0.0.0", "--port", "8000"]
+
+# --- Notes ---
+# Environment Variables:
+# This Dockerfile assumes you will provide necessary environment variables
+# (NEO4J_URI, NEO4J_PASSWORD, GEMINI_API_KEY, OPENAI_API_KEY, etc.)
+# when running the container, for example using 'docker run -e VAR=value ...'
+# or a docker-compose.yml file.
+# DO NOT hardcode secrets directly in the Dockerfile.
+#
+# Cache Folders:
+# Removed HF_HOME/TORCH_HOME as this app primarily uses external APIs (Gemini/OpenAI)
 # and Neo4j, not local Hugging Face/PyTorch models needing specific cache dirs.