minor change

dashboard/cron.py

@@ -7,17 +7,17 @@
 import pandas as pd
 from zoneinfo import ZoneInfo 
 import pangres
-import psycopg
+
 from django.conf import settings
 from django.db import connections as conns, models
 from django.db.models import QuerySet
 from django_cron import CronJobBase, Schedule
 from google.cloud import bigquery
 from sqlalchemy import types, text
 from sqlalchemy.engine import ResultProxy
-from sqlalchemy.orm import Session, sessionmaker
+from sqlalchemy.orm import sessionmaker
 
-from dashboard.common import db_util, utils
+from dashboard.common import db_util
 from dashboard.models import Course, Resource, AcademicTerms, User
 
 
@@ -45,9 +45,6 @@ def split_list(a_list: list, size: int = 20):
 
 # the util function
 
-def util_submission_function(sql_string, mysql_table, param_object=None, table_identifier=None):
-    pass
-
 
 def util_function(sql_string, mysql_table, param_object=None, table_identifier=None):
     logger.debug(f'sql={sql_string}')

docs/github_actions.md

@@ -5,6 +5,6 @@
 2. The action is triggered whenever a commit is made to the `master` branch.  E.g., when a pull request is merged to `master`.
 3. OpenShift projects can periodically pull this image from GHCR.  Configure only **_NON-PRODUCTION_** MyLA projects to pull the image…
     ```sh
-    oc tag ghcr.io/tl-its-umich-edu/my-learning-analytics:latest my-learning-analytics:latest --scheduled
+    oc tag ghcr.io/tl-its-umich-edu/my-learning-analytics:latest my-learning-analytics:latest --scheduled --reference-policy=local
     ```
     See the OpenShift documentation "[Managing image streams: Configuring periodic importing of image stream tags](https://docs.openshift.com/container-platform/4.11/openshift_images/image-streams-manage.html#images-imagestream-import_image-streams-managing)" for details.

docs/loading_data.md

@@ -18,7 +18,7 @@ docker exec -it student_dashboard /bin/bash -c \
 After about 30 to 60 seconds, the cron job should have completed and you should have data!
 In the admin interface, there is a table where you can check the status of the cron job runs.
 
-debugging cron use the following command. Once you run this command then go to VSCode and start the 'MyLA Docker Cron'. Add some 
+Debugging cron use the following command. Once you run this command then go to VSCode and start the 'MyLA Docker Cron'. Add some 
 Breakpoint to debug at desired location.
 ```sh
 docker exec -it student_dashboard /bin/bash -c "DEBUGPY_WAIT_FOR_ATTACH=True DEBUGPY_ENABLE=TRUE DEBUGPY_REMOTE_PORT=3001 ./manage_debugpy.py runcrons --force"