# Copyright 2025 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

# Benchmark image for VLABench integration tests.
# Extends the nightly GPU image with the PR's source code and VLABench setup.
#
# Build:  docker build -f docker/Dockerfile.benchmark.vlabench -t lerobot-benchmark-vlabench .
# Run:    docker run --gpus all --rm lerobot-benchmark-vlabench lerobot-eval ...

FROM huggingface/lerobot-gpu:latest

# Install VLABench from GitHub (not on PyPI) and pin MuJoCo/dm-control.
# Shallow-clone without submodule recursion (nested SSH-only submodules fail in CI).
# Editable install (-e) because VLABench/utils/ has no __init__.py, so
# find_packages() omits it from wheels; editable mode uses the source tree directly.
# Asset download (Google Drive via gdown) is skipped — unreliable in CI and not
# needed for our smoke test which uses its own eval pipeline.
# Patch: constant.py calls os.listdir on ~100 asset/obj/meshes/* dirs at import
# time; those dirs only exist after the Google Drive download. We guard the call
# so missing dirs return [] instead of crashing.
RUN git clone --depth 1 https://github.com/OpenMOSS/VLABench.git ~/VLABench && \
    python3 -c "\
import pathlib; \
p = pathlib.Path.home() / 'VLABench/VLABench/configs/constant.py'; \
t = p.read_text(); \
p.write_text(t.replace( \
    'subdirs = os.listdir(xml_dir)', \
    'if not os.path.isdir(xml_dir): return []\n    subdirs = os.listdir(xml_dir)'))" && \
    uv pip install --no-cache -e ~/VLABench \
      mujoco==3.2.2 dm-control==1.0.22 \
      open3d colorlog scikit-learn

# Overlay the PR's source code on top of the nightly image.
COPY --chown=user_lerobot:user_lerobot . .

CMD ["/bin/bash"]