Dockerfile.aws

# Start with the AWS Lambda Python image
FROM public.ecr.aws/lambda/python:3.13

# Install system dependencies
RUN microdnf install -y \
    ca-certificates \
    krb5-libs \
    libicu \
    zlib \
    openssl \
    tar \
    gzip \
    gcc \
    gcc-c++ \
    python3-devel \
    && microdnf clean all

# Set the working directory
WORKDIR ${LAMBDA_TASK_ROOT}

# Copy project files for building and installing dependencies
COPY pyproject.toml setup.py ./
COPY src ./src

# Install uv for dependency resolution
RUN pip install --no-cache-dir uv

# Generate requirements.txt from pyproject.toml
RUN uv pip compile pyproject.toml -o requirements.txt

# Install dependencies from generated requirements.txt
RUN pip install --no-cache-dir -r requirements.txt

# Build Cython extensions in place
RUN python setup.py build_ext --inplace

# Build arguments for configuration with defaults
ARG APP_RATE_LIMIT_PER_DAY=8000

# Set environment variables with defaults for AWS Lambda
# Logging configuration
ENV LOG_LEVEL=INFO
ENV LOG_FORMAT=json
ENV PERFORMANCE_THRESHOLD_MS=2000

# Logo fetching configuration
ENV DISABLE_LOGO_FETCHING=false
ENV LOGO_TIMEOUT_SECONDS=1
ENV LOGO_CIRCUIT_BREAKER_THRESHOLD=5
ENV LOGO_CIRCUIT_BREAKER_TIMEOUT=300

# Rate Limiting Configuration:
# Self-deploying users can set their daily rate limit via APP_RATE_LIMIT_PER_DAY.
# If not set, it defaults to 8000 requests per day.
# Example: docker run -e APP_RATE_LIMIT_PER_DAY=15000 my-application-image
ENV APP_RATE_LIMIT_PER_DAY=${APP_RATE_LIMIT_PER_DAY}

# Set the entry point for the AWS Lambda function
CMD ["src/main.handler"]