Dockerfile

# # Copyright (c) Meta Platforms, Inc. and affiliates.
# # All rights reserved.
# #
# # This source code is licensed under the BSD-style license found in the
# # LICENSE file in the root directory of this source tree.

# # Multi-stage build using openenv-base
# # This Dockerfile is flexible and works for both:
# # - In-repo environments (with local OpenEnv sources)
# # - Standalone environments (with openenv from PyPI/Git)
# # The build script (openenv build) handles context detection and sets appropriate build args.

# ARG BASE_IMAGE=ghcr.io/meta-pytorch/openenv-base:latest
# FROM ${BASE_IMAGE} AS builder

# WORKDIR /app

# # Ensure git is available (required for installing dependencies from VCS)
# RUN apt-get update && \
#     apt-get install -y --no-install-recommends git && \
#     rm -rf /var/lib/apt/lists/*

# # Build argument to control whether we're building standalone or in-repo
# ARG BUILD_MODE=in-repo
# ARG ENV_NAME=tice

# # Copy environment code (always at root of build context)
# COPY . /app/env

# # For in-repo builds, openenv is already vendored in the build context
# # For standalone builds, openenv will be installed via pyproject.toml
# WORKDIR /app/env

# # Ensure uv is available (for local builds where base image lacks it)
# RUN if ! command -v uv >/dev/null 2>&1; then \
#         curl -LsSf https://astral.sh/uv/install.sh | sh && \
#         mv /root/.local/bin/uv /usr/local/bin/uv && \
#         mv /root/.local/bin/uvx /usr/local/bin/uvx; \
#     fi
    
# # Install dependencies using uv sync
# # If uv.lock exists, use it; otherwise resolve on the fly
# RUN --mount=type=cache,target=/root/.cache/uv \
#     if [ -f uv.lock ]; then \
#         uv sync --frozen --no-install-project --no-editable; \
#     else \
#         uv sync --no-install-project --no-editable; \
#     fi

# RUN --mount=type=cache,target=/root/.cache/uv \
#     if [ -f uv.lock ]; then \
#         uv sync --frozen --no-editable; \
#     else \
#         uv sync --no-editable; \
#     fi

# # Final runtime stage
# FROM ${BASE_IMAGE}

# WORKDIR /app

# # Copy the virtual environment from builder
# COPY --from=builder /app/env/.venv /app/.venv

# # Copy the environment code
# COPY --from=builder /app/env /app/env

# # Set PATH to use the virtual environment
# ENV PATH="/app/.venv/bin:$PATH"

# # Set PYTHONPATH so imports work correctly
# ENV PYTHONPATH="/app/env:$PYTHONPATH"

# # Health check
# HEALTHCHECK --interval=30s --timeout=3s --start-period=5s --retries=3 \
#     CMD curl -f http://localhost:8000/health || exit 1

# # Run the FastAPI server
# # The module path is constructed to work with the /app/env structure
# CMD ["sh", "-c", "cd /app/env && uvicorn server.app:app --host 0.0.0.0 --port 8000"]
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.

# Multi-stage build using openenv-base
# This Dockerfile is flexible and works for both:
# - In-repo environments (with local OpenEnv sources)
# - Standalone environments (with openenv from PyPI/Git)
# The build script (openenv build) handles context detection and sets appropriate build args.

ARG BASE_IMAGE=ghcr.io/meta-pytorch/openenv-base:latest
FROM ${BASE_IMAGE} AS builder

WORKDIR /app

# Ensure git is available (required for installing dependencies from VCS)
RUN apt-get update && \
    apt-get install -y --no-install-recommends git && \
    rm -rf /var/lib/apt/lists/*

# Build argument to control whether we're building standalone or in-repo
ARG BUILD_MODE=in-repo
ARG ENV_NAME=tice

# Copy environment code (always at root of build context)
COPY . /app/env

# For in-repo builds, openenv is already vendored in the build context
# For standalone builds, openenv will be installed via pyproject.toml
WORKDIR /app/env

# Ensure uv is available (for local builds where base image lacks it)
RUN if ! command -v uv >/dev/null 2>&1; then \
        curl -LsSf https://astral.sh/uv/install.sh | sh && \
        mv /root/.local/bin/uv /usr/local/bin/uv && \
        mv /root/.local/bin/uvx /usr/local/bin/uvx; \
    fi
    
# Create a Python virtual environment inside Docker.
# Without this, uv may detect a stale/invalid `/app/env/.venv` copied from host
# and fail with: "no Python executable was found".
RUN python -m venv /app/env/.venv

# Tell uv to use that venv.
ENV UV_VENV_PATH=/app/env/.venv
ENV PATH="/app/env/.venv/bin:$PATH"

# Install dependencies using uv sync
# If uv.lock exists, use it; otherwise resolve on the fly
RUN --mount=type=cache,target=/root/.cache/uv \
    if [ -f uv.lock ]; then \
        uv sync --frozen --no-install-project --no-editable; \
    else \
        uv sync --no-install-project --no-editable; \
    fi

RUN --mount=type=cache,target=/root/.cache/uv \
    if [ -f uv.lock ]; then \
        uv sync --frozen --no-editable; \
    else \
        uv sync --no-editable; \
    fi

# Final runtime stage
FROM ${BASE_IMAGE}

WORKDIR /app

# Copy the virtual environment from builder
COPY --from=builder /app/env/.venv /app/.venv

# Copy the environment code
COPY --from=builder /app/env /app/env

# Web UI README loader expects /app/README.md
COPY --from=builder /app/env/README.md /app/README.md

# Set PATH to use the virtual environment
ENV PATH="/app/.venv/bin:$PATH"
ENV ENABLE_WEB_INTERFACE=true
# Set PYTHONPATH so imports work correctly
ENV PYTHONPATH="/app/env:$PYTHONPATH"

# Health check
HEALTHCHECK --interval=30s --timeout=3s --start-period=5s --retries=3 \
    CMD curl -f http://localhost:8000/health || exit 1

# Run the FastAPI server
# The module path is constructed to work with the /app/env structure
CMD ["sh", "-c", "cd /app/env && uvicorn server.app:app --host 0.0.0.0 --port 8000"]