MetaCell / MetaCell/NetPyNE-UI

Docker build failed

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#784 1 comment 0 reactions 0 assignees View on GitHub

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Dominant language
JavaScript
Stars
23
Forks
10
PR merge metrics
No merged PRs in 30d

Description

hellow~,I tried to use the code of the master branch to build the docker image, but it failed. I tried the code of 1.0.0 again and got the same error. Can anyone help me?
OS: Ubuntu 20.04
docker: 24.0.7

terminal logs:

45.92 Traceback (most recent call last):
45.92   File "utilities/install.py", line 242, in <module>
45.92     geppetto_branch=args.geppetto_version,
45.92   File "utilities/install.py", line 206, in main
45.92     execute(cmd=['yarn', 'install', '--immutable'], cwd=WEBAPP_DIR)
45.92   File "utilities/install.py", line 38, in execute
45.92     exit_code = subprocess.call(cmd, cwd=cwd, *args, **kwargs)
45.92   File "/opt/conda/lib/python3.7/subprocess.py", line 339, in call
45.92     with Popen(*popenargs, **kwargs) as p:
45.92   File "/opt/conda/lib/python3.7/subprocess.py", line 800, in __init__
45.92     restore_signals, start_new_session)
45.92   File "/opt/conda/lib/python3.7/subprocess.py", line 1551, in _execute_child
45.92     raise child_exception_type(errno_num, err_msg, err_filename)
45.92 FileNotFoundError: [Errno 2] No such file or directory: 'yarn': 'yarn'
------
Dockerfile:50
--------------------
  48 |     RUN jupyter serverextension enable --py --sys-prefix jupyter_geppetto
  49 |     
  50 | >>> RUN python utilities/install.py ${BUILD_ARGS} --workspace $WORKSPACE_VERSION --no-test
  51 |     
  52 |     RUN jupyter labextension disable @jupyterlab/hub-extension
--------------------
ERROR: failed to solve: process "/bin/bash -o pipefail -c python utilities/install.py ${BUILD_ARGS} --workspace $WORKSPACE_VERSION --no-test" did not complete successfully: exit code: 1

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First steps

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  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start with Dockerfile line 50 and utilities/install.py, especially the execute call at line 38 and the yarn install invocation at line 206. Reproduce the build with the reported Ubuntu and Docker versions, then determine why yarn is unavailable and verify that the Docker image builds successfully.

Written by the indexing model from the issue text.

Assessment

Tech stack
docker, javascript, python
Domain
build-system, devops
Issue type
Bug
Difficulty
3/5
Estimated time
1-2 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
30/100

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