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build(containers): pass SOURCE_DATE_EPOCH as arg #887

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Merged
AlessandroPomponio merged 2 commits into from
Apr 21, 2026
Merged

build(containers): pass SOURCE_DATE_EPOCH as arg #887

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aa1129b
build(containers): pass SOURCE_DATE_EPOCH as arg
AlessandroPomponio Apr 21, 2026
361dbeb
build(containers): set default for SOURCE_DATE_EPOCH
AlessandroPomponio Apr 21, 2026
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10 changes: 6 additions & 4 deletions Dockerfile-cpu
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Original file line number Diff line number Diff line change
Expand Up @@ -5,9 +5,9 @@ FROM $BASE_IMAGE
# Set LD_LIBRARY_PATH to avoid runtime errors (so far only experienced when running vLLM with the vllm_performance actuator)
ENV LD_LIBRARY_PATH=/home/ray/anaconda3/lib:${LD_LIBRARY_PATH}

# Set SOURCE_DATE_EPOCH to guarantee that all the wheels built will use
# Pass SOURCE_DATE_EPOCH to guarantee that all the wheels built will use
# the same timestamp.
ENV SOURCE_DATE_EPOCH=${SOURCE_DATE_EPOCH}
ARG SOURCE_DATE_EPOCH=0

USER 0
RUN chgrp -R 0 /home/ray && \
Expand All @@ -18,13 +18,15 @@ USER 1000
COPY --chown=1000:0 ./ ado

## Install ado
RUN cd ado && \
RUN export SOURCE_DATE_EPOCH=${SOURCE_DATE_EPOCH} && \
cd ado && \
uv pip install --system -r requirements.txt && \
uv pip install --system --no-deps --strict \
'.'

## Install ray-tune operator
RUN cd ado && \
RUN export SOURCE_DATE_EPOCH=${SOURCE_DATE_EPOCH} && \
cd ado && \
uv pip install --system \
'plugins/operators/ray_tune/'

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7 changes: 4 additions & 3 deletions Dockerfile-geo
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Expand Up @@ -3,11 +3,12 @@ ARG CUDA_VERSION=cu121
ARG BASE_IMAGE=quay.io/ado/ado:latest-py${PYTHON_VERSION}-${CUDA_VERSION}
FROM $BASE_IMAGE

# Set SOURCE_DATE_EPOCH to guarantee that all the wheels built will use
# Pass SOURCE_DATE_EPOCH to guarantee that all the wheels built will use
# the same timestamp.
ENV SOURCE_DATE_EPOCH=${SOURCE_DATE_EPOCH}
ARG SOURCE_DATE_EPOCH=0

## Install ado-vllm-performance
RUN cd ado && \
RUN export SOURCE_DATE_EPOCH=${SOURCE_DATE_EPOCH} && \
cd ado && \
uv pip install --system \
'plugins/actuators/vllm_performance'
10 changes: 6 additions & 4 deletions Dockerfile-gpu
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Expand Up @@ -10,9 +10,9 @@ ENV CUDA_HOME=/usr/local/cuda
# Set LD_LIBRARY_PATH to avoid runtime errors (so far only experienced when running vLLM with the vllm_performance actuator)
ENV LD_LIBRARY_PATH=/home/ray/anaconda3/lib:${LD_LIBRARY_PATH}

# Set SOURCE_DATE_EPOCH to guarantee that all the wheels built will use
# Pass SOURCE_DATE_EPOCH to guarantee that all the wheels built will use
# the same timestamp.
ENV SOURCE_DATE_EPOCH=${SOURCE_DATE_EPOCH}
ARG SOURCE_DATE_EPOCH=0

USER 0
RUN chgrp -R 0 /home/ray && \
Expand All @@ -23,13 +23,15 @@ USER 1000
COPY --chown=1000:0 ./ ado

## Install ado
RUN cd ado && \
RUN export SOURCE_DATE_EPOCH=${SOURCE_DATE_EPOCH} && \
cd ado && \
uv pip install --system -r requirements.txt && \
uv pip install --system --no-deps --strict \
'.'

## Install ray-tune operator
RUN cd ado && \
RUN export SOURCE_DATE_EPOCH=${SOURCE_DATE_EPOCH} && \
cd ado && \
uv pip install --system \
'plugins/operators/ray_tune/'

Expand Down
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