[BUG]: failed to solve: process "/bin/bash -c source activate base && conda install setuptools==70.0.0" did not complete successfully: exit code: 1

[ruchaa-apte]

Version

main branch

Which installation method(s) does this occur on?

Docker

Describe the bug.

Hello , I am trying to use nv-ingest for extracting PDF data (images, tables and charts). I am following the instructions in the README file for installing docker, but when I try to run the command docker compose build , I face the following issue failed to solve: process "/bin/bash -c source activate base && conda install setuptools==70.0.0" did not complete successfully: exit code: 1
Please see attached logs for more information.

Minimum reproducible example

No response

Relevant log output

[+] Building 15.8s (31/36)
=> [internal] load build definition from Dockerfile 0.0s
=> => transferring dockerfile: 5.27kB 0.0s
=> [internal] load metadata for nvcr.io/nvidia/cuda:12.2.2-base-ubuntu22.04 1.6s
=> [auth] nvidia/cuda:pull token for nvcr.io 0.0s
=> [internal] load .dockerignore 0.0s
=> => transferring context: 2B 0.0s
=> [internal] load build context 0.0s
=> => transferring context: 26.82kB 0.0s
=> [base 1/11] FROM nvcr.io/nvidia/cuda:12.2.2-base-ubuntu22.04@sha256:1a8a738e81d4adbef0c709241f5238cec5bb77186dcb5b2103db293315ed42d1 0.0s
=> CACHED [base 2/11] RUN apt-get update && apt-get install -y wget bzip2 ca-certificates curl && apt-get clean 0.0s
=> CACHED [base 3/11] RUN wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh -O /tmp/miniconda.sh && bash /tmp/miniconda.sh -b -p /opt/conda && rm /tmp/miniconda.sh 0.0s
=> CACHED [base 4/11] RUN conda install -y mamba -n base -c conda-forge 0.0s
=> CACHED [base 5/11] RUN conda create -y --name nv_ingest python=3.10.15 0.0s
=> CACHED [base 6/11] RUN echo "source activate nv_ingest" >> ~/.bashrc 0.0s
=> CACHED [base 7/11] RUN source activate nv_ingest && mamba install -y -c conda-forge tini 0.0s
=> CACHED [base 8/11] RUN source activate nv_ingest && mamba install -y nvidia/label/dev::morpheus-core nvidia/label/dev::morpheus-llm -c rapidsai -c pytorch -c nvidia -c conda-forge 0.0s
=> CACHED [base 9/11] RUN apt-get update && apt-get install -y libgl1-mesa-glx && apt-get clean 0.0s
=> CACHED [base 10/11] WORKDIR /workspace 0.0s
=> CACHED [base 11/11] COPY ./docker/scripts/entrypoint.sh /workspace/docker/entrypoint.sh 0.0s
=> CACHED [nv_ingest_install 1/17] COPY setup.py setup.py 0.0s
=> CACHED [nv_ingest_install 2/17] COPY ci ci 0.0s
=> CACHED [nv_ingest_install 3/17] COPY requirements.txt extra-requirements.txt test-requirements.txt util-requirements.txt ./ 0.0s
=> CACHED [nv_ingest_install 4/17] RUN if [ -z "" ]; then export VERSION="$(date +'%Y.%m.%d')"; fi; if [ "dev" = "dev" ]; then export NV_INGEST_VERSION_OVERRIDE=".dev0"; elif [ "dev" = "release" ]; then export NV 0.0s
=> CACHED [nv_ingest_install 5/17] RUN source activate nv_ingest && pip install -r requirements.txt 0.0s
=> CACHED [nv_ingest_install 6/17] COPY tests tests 0.0s
=> CACHED [nv_ingest_install 7/17] COPY data data 0.0s
=> CACHED [nv_ingest_install 8/17] COPY client client 0.0s
=> CACHED [nv_ingest_install 9/17] COPY src/nv_ingest src/nv_ingest 0.0s
=> CACHED [nv_ingest_install 10/17] RUN rm -rf ./src/nv_ingest/dist ./client/dist 0.0s
=> CACHED [nv_ingest_install 11/17] RUN source activate nv_ingest && pip install -e client && pip install -r extra-requirements.txt 0.0s
=> CACHED [nv_ingest_install 12/17] RUN chmod +x ./ci/scripts/build_pip_packages.sh && ./ci/scripts/build_pip_packages.sh --type dev --lib client && ./ci/scripts/build_pip_packages.sh --type dev --lib service 0.0s
=> CACHED [nv_ingest_install 13/17] RUN source activate nv_ingest && pip install ./dist/*.whl 0.0s
=> CACHED [nv_ingest_install 14/17] RUN source activate nv_ingest && rm -rf src requirements.txt test-requirements.txt util-requirements.txt 0.0s
=> ERROR [nv_ingest_install 15/17] RUN source activate base && conda install setuptools==70.0.0 14.1s

[nv_ingest_install 15/17] RUN source activate base && conda install setuptools==70.0.0:
#0 0.928 /opt/conda/lib/python3.12/site-packages/conda/base/context.py:198: FutureWarning: Adding 'defaults' to channel list implicitly is deprecated and will be removed in 25.3.
#0 0.928
#0 0.928 To remove this warning, please choose a default channel explicitly with conda's regular configuration system, e.g. by adding 'defaults' to the list of channels:
#0 0.928
#0 0.928 conda config --add channels defaults
#0 0.928
#0 0.928 For more information see https://docs.conda.io/projects/conda/en/stable/user-guide/configuration/use-condarc.html
#0 0.928
#0 0.928 deprecated.topic(
#0 1.270 /opt/conda/lib/python3.12/site-packages/conda/base/context.py:198: FutureWarning: Adding 'defaults' to channel list implicitly is deprecated and will be removed in 25.3.
#0 1.270
#0 1.270 To remove this warning, please choose a default channel explicitly with conda's regular configuration system, e.g. by adding 'defaults' to the list of channels:
#0 1.270
#0 1.270 conda config --add channels defaults
#0 1.270
#0 1.270 For more information see https://docs.conda.io/projects/conda/en/stable/user-guide/configuration/use-condarc.html
#0 1.270
#0 1.270 deprecated.topic(
#0 6.289 Channels:
#0 6.289 - defaults
#0 6.289 Platform: linux-64
#0 6.289 Collecting package metadata (repodata.json): ...working... done
#0 13.78 Solving environment: ...working... failed
#0 13.94
#0 13.94 PackagesNotFoundError: The following packages are not available from current channels:
#0 13.94
#0 13.94 - setuptools==70.0.0
#0 13.94
#0 13.94 Current channels:
#0 13.94
#0 13.94 - defaults
#0 13.94
#0 13.94 To search for alternate channels that may provide the conda package you're
#0 13.94 looking for, navigate to
#0 13.94
#0 13.94 https://anaconda.org
#0 13.94
#0 13.94 and use the search bar at the top of the page.
#0 13.94
#0 13.94

---

failed to solve: process "/bin/bash -c source activate base && conda install setuptools==70.0.0" did not complete successfully: exit code: 1

Other/Misc.

No response

[sosahi]

• Due to anaconda licensing issues, NVIDIA can no longer pull from the anaconda defaults channel

Solution:

• Update the dockerfile to define the conda-forge channel (update the dockerfile's line 122 to && conda install -c conda-forge setuptools==70.0.0)