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https://issues.apache.org/jira/browse/DLAB-1974?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Vira Vitanska updated DLAB-1974:
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Attachment: Point8- Tensorflow-Rstuio2.png
Point8 TensorFlow-Rstudio3.png
Point8 - Tensorflow-rstudio.png
> Show 'invalid version' if lib installation fails due to wrong version
> ---------------------------------------------------------------------
>
> Key: DLAB-1974
> URL: https://issues.apache.org/jira/browse/DLAB-1974
> Project: Apache DLab
> Issue Type: Task
> Reporter: Vira Vitanska
> Assignee: Leonid Frolov
> Priority: Minor
> Labels: AWS, AZURE, Debian, DevOps, GCP, RedHat
> Attachments: Augment error message.png, Augment2.png, Available
> version.png, P5 - pivottable 2.png, P6 -docker.png, P6 provisioning.png, P6
> response.png, P7 - docker 2.png, P7 - provisioning.png, P7-docker1.png,
> P7-rstudio UI.png, Pandas1.png, Pandas2.png, Pandas3.png, Pip.png, Point 6
> UI.png, Point8 - Tensorflow-rstudio.png, Point8 TensorFlow-Rstudio3.png,
> Point8- Tensorflow-Rstuio2.png, apt-yum.png, ggplot2.png, p5 - Pivottable.png
>
>
> 1. If lib installation fails due to wrong version convey invalid version
> How it works now (for example if version contains space):
> - R package: Docker runs with '0', shows 'installation error' and it is retry
> - Pip/apt/yum packages: Docker runs with '1' and status is still in
> 'installing'
> (i) removed versions from tmp log file name, for R it shows invalid version
> in version contains invalid characters.
> 2. Augment error message for library installation (<bossa> from r package).
> Available version value is empty (i) "available_versions": [""] was not
> empty, now it is []. error message is installation_error
> 3. For EMR pandas/matplotlib are installed but it is shown 'error
> installation' due to some dependencies are not installed. This case is
> reproduced for pip3 group.
> 4. For EMR ggplot2 (r package) is not installed via DLab UI, but it can be
> installed via terminal
> 5. If user does not type library version and installation fails - convey
> 'installation error' instead of 'invalid version'. It was found for EMR
> (others group) 'pivottable' (i) previously returned invalid version with
> available versions = none. Now returns installation_error with error message
> 6. For EMR (it was found on RStudio, perhaps it is reproduced and for the
> other template): If install library from apt/yum package and indicate wrong
> version docker runs with '1' and library status remains 'installing' in DLab
> UI
> 7. Rstudio (others group): Pivottablejs installation with correct version
> <0.2.0> was stuck in 'installing' status and docker run with '1' (i) there
> was a whitespace in version < 0.2.0>
> 8. TensorFlow with RStudio (r package -> NAM ): docker runs with '1' and
> installation status is still 'installing' in Web UI
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