small changes to ease filling out template

README.md

@@ -1,9 +1,11 @@
-# {endstation or TLA}-workflows
+# {TLA}-workflows
 
-> Replace all instances of {endstation or TLA} with the name of the endstation
-> or the **lower-case** three-letter acronym of the beamline, if an endstation
-> name does not apply. Finally, delete all instructions -- lines that start with
-> `>`
+> Replace all instances of {TLA} with the name of the endstation or the
+> **lower-case** three-letter acronym of the beamline, if an endstation name
+> does not apply. Finally, delete all instructions -- lines that start with `>`
+
+> It would be quick and easy to perform a text replace call for "TLA" to "tla"
+> where "tla" is the acronym for the instrument name.
 
 > Choose one of the following descriptions; delete the other.
 

end_of_run_workflow.py

@@ -7,13 +7,13 @@
 from data_validation import get_run_migration
 from dotenv import load_dotenv
 
-CATALOG_NAME = "tla"
+CATALOG_NAME = "TLA"
 
 
 def slack(func):
     """
     Send a message to mon-prefect and mon-prefect-program slack channels if the flow-run failed.
-    Send a message to mon-prefect-tla slack channel with the flow-run status.
+    Send a message to mon-prefect-TLA slack channel with the flow-run status.
     Send a message to mon-bluesky slack channel if the bluesky-run failed.
 
     NOTE: the name of this inner function is the same as the real end_of_workflow() function because
@@ -27,7 +27,7 @@ def end_of_run_workflow(stop_doc, api_key=None, dry_run=False):
         # Load slack credentials that are saved in Prefect.
         mon_prefect = SlackWebhook.load("mon-prefect")
         mon_bluesky = SlackWebhook.load("mon-bluesky")
-        mon_prefect_tla = SlackWebhook.load("mon-prefect-tla")
+        mon_prefect_instrument = SlackWebhook.load("mon-prefect-TLA")
         mon_prefect_program = SlackWebhook.load("mon-prefect-program")
 
         # Get the uid.
@@ -47,17 +47,17 @@ def end_of_run_workflow(stop_doc, api_key=None, dry_run=False):
         try:
             result = func(stop_doc, api_key=api_key, dry_run=dry_run)
 
-            # Send a message to mon-prefect-tla if flow-run is successful.
+            # Send a message to mon-prefect-TLA if flow-run is successful.
             message = f":white_check_mark: {CATALOG_NAME} flow-run successful. (*{flow_run_name}*)\n ```run_start: {uid}\nscan_id: {scan_id}```"
-            mon_prefect_tla.notify(message)
+            mon_prefect_instrument.notify(message)
             return result
         except Exception as e:
             tb = traceback.format_exception_only(e)
 
-            # Send a message to mon-prefect-tla, mon-prefect if flow-run failed.
+            # Send a message to mon-prefect-TLA, mon-prefect if flow-run failed.
             message = f":bangbang: {CATALOG_NAME} flow-run failed. (*{flow_run_name}*)\n ```run_start: {uid}\nscan_id: {scan_id}``` ```{tb[-1]}```"
             mon_prefect.notify(message)
-            mon_prefect_tla.notify(message)
+            mon_prefect_instrument.notify(message)
             flow_run = FlowRunContext.get().flow_run
             # Add link to flow-run for the message to mon-prefect-program.
             program_message = (

prefect.yaml

@@ -1,4 +1,4 @@
-name: prefect-docker-pixi-tiled-tla
+name: prefect-docker-pixi-tiled-TLA
 prefect-version: 3.6.10
 
 build: null
@@ -9,28 +9,28 @@ pull:
   - prefect.deployments.steps.set_working_directory:
       directory: /repo
   - prefect.deployments.steps.git_clone:
-      repository: https://github.com/nsls2/nsls2-workflows-template.git
+      repository: https://github.com/nsls2/TLA-workflows.git
       branch: main
 
 deployments:
-  - name: tla-end-of-run-workflow-docker
+  - name: TLA-end-of-run-workflow-docker
     version: 0.1.2
     tags:
-      - tla
+      - TLA
       - main
     description: Deploy the updated Docker image
     entrypoint: end_of_run_workflow.py:end_of_run_workflow
     parameters: {}
     schedule: {}
     work_pool:
       job_variables:
-        image: ghcr.io/nsls2/nsls2-workflows-template:main
+        image: ghcr.io/nsls2/TLA-workflows:main
         image_pull_policy: Always
         network: slirp4netns
         volumes:
-          - /nsls2/data/tla/proposals:/nsls2/data/tla/proposals
-          - /srv/prefect3-docker-worker-tla/app:/srv # replace tla here
+          - /nsls2/data/TLA/proposals:/nsls2/data/TLA/proposals
+          - /srv/prefect3-docker-worker-TLA/app:/srv # replace TLA here
         container_create_kwargs:
-          userns_mode: "keep-id:uid=402xxx,gid=402xxx" # workflow-tla:workflow-tla
+          userns_mode: "keep-id:uid=402xxx,gid=402xxx" # workflow-TLA:workflow-TLA
         auto_remove: true
-      name: tla-work-pool-docker
+      name: TLA-work-pool-docker