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Posted to commits@datalab.apache.org by lf...@apache.org on 2022/09/08 10:17:01 UTC

[incubator-datalab] 03/03: [DATALAB-1408]: fixed azure image list

This is an automated email from the ASF dual-hosted git repository.

lfrolov pushed a commit to branch DATALAB-1408
in repository https://gitbox.apache.org/repos/asf/incubator-datalab.git

commit a9d0782d470c6e0ee8c08fb7fa0beb57e6397c29
Author: leonidfrolov <fr...@gmail.com>
AuthorDate: Thu Sep 8 13:16:27 2022 +0300

    [DATALAB-1408]: fixed azure image list
---
 infrastructure-provisioning/src/ssn/scripts/docker_build.py | 5 ++---
 1 file changed, 2 insertions(+), 3 deletions(-)

diff --git a/infrastructure-provisioning/src/ssn/scripts/docker_build.py b/infrastructure-provisioning/src/ssn/scripts/docker_build.py
index cdb2ee786..9c368b67b 100644
--- a/infrastructure-provisioning/src/ssn/scripts/docker_build.py
+++ b/infrastructure-provisioning/src/ssn/scripts/docker_build.py
@@ -39,7 +39,6 @@ if sys.argv[1] == 'all':
         'rstudio',
         'zeppelin',
         'tensor',
-        'tensor-rstudio',
         'deeplearning',
         'dataengine',
         'dataengine-service']
@@ -54,14 +53,14 @@ def image_build(src_path, node):
             os_family = 'redhat'
         if subprocess.run("uname -r | awk -F '-' '{print $3}'", capture_output=True, shell=True, check=True).stdout.decode('UTF-8').rstrip("\n\r") == 'aws':
             cloud_provider = 'aws'
-            node.extend(['tensor-jupyterlab'])
+            node.extend(['tensor-rstudio', 'tensor-jupyterlab'])
         elif subprocess.run("uname -r | awk -F '-' '{print $3}'", capture_output=True, shell=True, check=True).stdout.decode('UTF-8').rstrip("\n\r") == 'azure':
             cloud_provider = 'azure'
             if not path.exists('{}base/azure_auth.json'.format(src_path)):
                 subprocess.run('cp /home/datalab-user/keys/azure_auth.json {}base/azure_auth.json'.format(src_path), shell=True, check=True)
         else:
             cloud_provider = 'gcp'
-            node.extend(['jupyter-gpu', 'superset'])
+            node.extend(['tensor-rstudio', 'jupyter-gpu', 'superset'])
         subprocess.run('cd {2}; docker build --build-arg OS={0} --build-arg SRC_PATH= --file general/files/{1}/base_Dockerfile -t docker.datalab-base:latest .'.format(
                     os_family, cloud_provider, src_path), shell=True, check=True)
         try:


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