Rr 115 update docs

[ryanraaschCDC]

No description provided.

[Copilot]

Pull request overview

Updates the documentation to improve onboarding/troubleshooting guidance and reflect newer client capabilities in cfa-cloudops.

Changes:

• Add new troubleshooting sections for CloudClient instantiation and file-path/mount issues during jobs
• Expand the CloudClient getting-started notebook with clearer guidance around env files, blob containers, ACR uploads, pools, and jobs
• Update docs to mention ContainerAppClient and adjust the service-principal sample .env

Reviewed changes

Copilot reviewed 5 out of 5 changed files in this pull request and generated 8 comments.

Show a summary per file

File	Description
docs/troubleshooting.md	Adds new troubleshooting guidance for CloudClient instantiation and file-not-found issues.
docs/overview.md	Mentions ContainerAppClient as a repo component.
docs/files/sp_sample.env	Removes AZURE_SP_CLIENT_ID from the SP sample env.
docs/examples/getting_started/cloudclient_walkthrough.ipynb	Expands the getting-started walkthrough with additional explanations and examples.
docs/examples/getting_started/Dockerfile	Replaces the minimal Dockerfile with a more explanatory example.

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[sfrosenb]

Cloudops Comments Not Directly Addressed by PR Suggestions

Overview

Several members of my team spent significant time (over 2 weeks) debugging the walkthrough for this package before we could get it to work, and some of us are still encountering issues. This seems to point to some underlying difficulties with CFA–Azure interaction or with the package itself. Below are a few suggestions that may help address these challenges.

Stress‑Test Functions

Several cloudops functions are somewhat brittle, failing under certain assumptions that fall outside typical user workflows.

Cc.monitor_task(download_task_output = True)

• This function can fail if any tasks associated with a job no longer have nodes.
• Possible improvements:
  • Would it be possible to add a try–catch or filtering step to ignore tasks lacking nodes?
  • Alternatively, a more informative error message could help users understand when a new job is required.
  • If helpful, I’m happy to submit a feature request.

Cc.create_job

• If the pool does not exist, the job appears to be created, but tasks submitted to it remain queued indefinitely.

Pre‑Identify User Issues

• Reviewing feature requests from the predecessor package (cfa-azure) may help proactively address common user concerns.

Improve Error Messages

• Cc.monitor_task fails when tasks lack associated nodes, but the resulting error is not very informative.

Reduce Debugging Time

Debugging has been more challenging because—even with vmsize = 'xsmall'—the transition from queued → running typically takes at least 4 minutes.

Possible improvements:

• Is there any possibility of creating a pool that allows for faster debugging?
• Would dedicated nodes help? Or would they pose too high a cost risk if users forget to delete the pool?
• If startup time cannot be reduced, making it easier to launch multiple tasks for testing might help:
  • Currently, if one task fails earlier than another, the second call to download_task_output errors out.

Other Suggestions

• In the walkthrough, it could be more helpful for users if argument names were explicitly specified rather than relying on positional interpretation.

[sfrosenb]

I think adding clarity around the dockerfile beyond pointing to the generic docker docs would help users and troubleshooting. Your example dockerfile sets WORKDIR to /app but then in the walkthrough, "app" is not used in create_pool() nor the add_task() nor main.py, and docs/troubleshooting.md does not use it either.

It would be helpful to provide the user an example Dockerfile that works with the walkthrough

[ryanraaschCDC]

@sfrosenb I've made several changes related to your comments. Let me know if anything else needs to be changed or added. Thanks!

[ryanraaschCDC]

@HPSLU please review the PR when you have the time. Thanks!

[HPSLU]

identified a few areas needing confirmation to improve clarity.