[ https://issues.apache.org/jira/browse/DLAB-1974?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Vira Vitanska updated DLAB-1974: -------------------------------- Description: 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. (+) Invalid characters are blocked from UI side ---- ---- 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 (+) Now status is 'invalid name' ---- ---- 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. (i) now "installation_error" status is shown only if there was any kind of error during lib installation and lib has not been installed. error message is returned to backend, but I am note sure whether it will be shown on UI or not. (should be shown) (+) ---- ---- 4. For EMR ggplot2 (r package) is not installed via DLab UI, but it can be installed via terminal (i) fixed (!) Blocked by ticket https://issues.apache.org/jira/browse/DLAB-1995 ---- ---- 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 (-) The bug is still reproduced and for compute/Notebook ---- ---- 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 (i) fixed (+) ---- ---- 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> (+) Now whitespace is blocked from UI side ---- ---- 8. TensorFlow with RStudio (r package -> NAM ): docker runs with '1' and installation status is still 'installing' in Web UI (i) fixed (!) Could not check. It is blocked by ticket https://issues.apache.org/jira/browse/DLAB-1995 was: 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. (+) Invalid characters are blocked from UI side ---- 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 (+) Now status is 'invalid name' ---- 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. (i) now "installation_error" status is shown only if there was any kind of error during lib installation and lib has not been installed. error message is returned to backend, but I am note sure whether it will be shown on UI or not. (should be shown) 4. For EMR ggplot2 (r package) is not installed via DLab UI, but it can be installed via terminal (i) fixed 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 (-) The bug is still 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 (i) fixed 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> (+) Now whitespace is blocked from UI side ---- 8. TensorFlow with RStudio (r package -> NAM ): docker runs with '1' and installation status is still 'installing' in Web UI (i) fixed > 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, > pull-request-available > 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. > (+) Invalid characters are blocked from UI side > ---- > ---- > 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 > (+) Now status is 'invalid name' > ---- > ---- > 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. > (i) now "installation_error" status is shown only if there was any kind of > error during lib installation and lib has not been installed. error message > is returned to backend, but I am note sure whether it will be shown on UI or > not. (should be shown) > (+) > ---- > ---- > 4. For EMR ggplot2 (r package) is not installed via DLab UI, but it can be > installed via terminal > (i) fixed > (!) Blocked by ticket https://issues.apache.org/jira/browse/DLAB-1995 > ---- > ---- > 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 > (-) The bug is still reproduced and for compute/Notebook > ---- > ---- > 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 > (i) fixed > (+) > ---- > ---- > 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> > (+) Now whitespace is blocked from UI side > ---- > ---- > 8. TensorFlow with RStudio (r package -> NAM ): docker runs with '1' and > installation status is still 'installing' in Web UI (i) fixed > (!) Could not check. It is blocked by ticket > https://issues.apache.org/jira/browse/DLAB-1995 -- This message was sent by Atlassian Jira (v8.3.4#803005) --------------------------------------------------------------------- To unsubscribe, e-mail: dev-unsubscr...@dlab.apache.org For additional commands, e-mail: dev-h...@dlab.apache.org