Test detect failure, bump spec.yml

images/datascience-notebook/Dockerfile

@@ -57,8 +57,9 @@ ARG PANDAS_VERSION=2.2.1 STATSMODELS_VERSION=0.14.1
 
 # Install essential+datascience pip packages 
 ## mistune added for nbgrader issues
+# TODO DEBUG: Remove nltk_data, this is to test docker exception handling.
 RUN pip install pillow typing-extensions tzlocal appdirs gputil mock pytest \
-    nltk statsmodels==$STATSMODELS_VERSION pandas==$PANDAS_VERSION 'mistune>=2' --upgrade && \
+    nltk nltk_data statsmodels==$STATSMODELS_VERSION pandas==$PANDAS_VERSION 'mistune>=2' --upgrade && \
     pip install dpkt nose datascience && \
     python -c 'import matplotlib.pyplot' && \
     fix-permissions $CONDA_DIR && \

images/spec.yml

@@ -25,7 +25,7 @@ images:
     #prepull: false #-- uncomment to disable prepulling behavior for scipy-ml. gives you space on machine in exchange for build time.
 
 tag:
-  prefix: "2023.4"
+  prefix: "2024.3"
 
 all_info_cmds:
   PY_VER:

scripts/docker_adapter.py

@@ -86,13 +86,16 @@ def build(node: Node) -> Tuple[bool, str]:
         return True, report
 
     except docker_client.errors.BuildError as build_e:
-        logger.error(f"Error during build of {node.image_name},\n {build_e}")
+        logger.error(f"Docker returned build error during build of {node.image_name},\n {build_e}")
         return False, report
     except docker_client.errors.APIError as api_e:
-        logger.error(f"Server returns error during build of {node.image_name},\n {api_e}")
+        logger.error(f"Docker returned API error during build of {node.image_name},\n {api_e}")
+        return False, report
+    except docker_client.errors.DockerException as docker_e:
+        logger.error(f"Docker returned generic error during build of {node.image_name},\n {docker_e}")
         return False, report
     except Exception as e:
-        logger.error("Unrecognized error; \n" + str(e))
+        logger.error("Unrecognized exception; \n" + str(e))
         return False, report
 
     finally: