Skip to content

Conversation

@jan-janssen
Copy link
Member

@jan-janssen jan-janssen commented Jul 27, 2025

Summary by CodeRabbit

  • New Features

    • Introduced new functionality for interacting with job queuing systems, including the ability to terminate jobs and execute commands via a standardized interface.
  • Refactor

    • Centralized job termination and command execution logic into a dedicated module, streamlining imports and reducing code duplication across the application.
  • Tests

    • Updated tests to use the new centralized functions, ensuring continued reliability and consistency.

@coderabbitai
Copy link
Contributor

coderabbitai bot commented Jul 27, 2025

Walkthrough

A new module, executorlib/standalone/scheduler.py, is introduced to centralize job queue interaction logic, specifically providing terminate_with_pysqa and pysqa_execute_command functions. Related implementations and imports are removed from other modules, which now import these functions from the new location. Test imports are updated accordingly.

Changes

File(s) Change Summary
executorlib/standalone/scheduler.py New module added with terminate_with_pysqa and pysqa_execute_command functions.
executorlib/task_scheduler/file/queue_spawner.py Removes local implementations of terminate_with_pysqa and _pysqa_execute_command; imports them from the new module. Updates usages and cleans up imports.
executorlib/task_scheduler/file/task_scheduler.py Updates import for terminate_with_pysqa to source from the new module.
tests/test_fluxclusterexecutor.py Updates import of terminate_with_pysqa to the new module.
tests/test_interactive_slurmspawner.py Updates import and usage of the command execution function to the new module.

Sequence Diagram(s)

sequenceDiagram
    participant Caller
    participant Scheduler (standalone)
    participant pysqa.QueueAdapter
    participant Subprocess

    Caller->>Scheduler (standalone): terminate_with_pysqa(queue_id, config_dir, backend)
    Scheduler (standalone)->>pysqa.QueueAdapter: Initialize with config_dir, backend, execute_command
    Scheduler (standalone)->>pysqa.QueueAdapter: get_status(queue_id)
    pysqa.QueueAdapter-->>Scheduler (standalone): status
    alt Job is active
        Scheduler (standalone)->>pysqa.QueueAdapter: delete_job(queue_id)
        pysqa.QueueAdapter->>Subprocess: pysqa_execute_command(...)
        Subprocess-->>pysqa.QueueAdapter: output/error
        pysqa.QueueAdapter-->>Scheduler (standalone): result
    end
    Scheduler (standalone)-->>Caller: (done)
Loading

Estimated code review effort

🎯 2 (Simple) | ⏱️ ~8 minutes

Possibly related PRs

Poem

In the warren of code, a new path appears,
Scheduler’s wisdom now calms our fears.
Functions once scattered, together they dwell,
Imports now tidy, all working well.
With each little hop, our tests still run true—
Refactored and ready for what we must do!
🐇✨

✨ Finishing Touches
  • 📝 Generate Docstrings
🧪 Generate unit tests
  • Create PR with unit tests
  • Post copyable unit tests in a comment
  • Commit unit tests in branch standalone_scheduler

Thanks for using CodeRabbit! It's free for OSS, and your support helps us grow. If you like it, consider giving us a shout-out.

❤️ Share
🪧 Tips

Chat

There are 3 ways to chat with CodeRabbit:

  • Review comments: Directly reply to a review comment made by CodeRabbit. Example:
    • I pushed a fix in commit <commit_id>, please review it.
    • Explain this complex logic.
    • Open a follow-up GitHub issue for this discussion.
  • Files and specific lines of code (under the "Files changed" tab): Tag @coderabbitai in a new review comment at the desired location with your query. Examples:
    • @coderabbitai explain this code block.
    • @coderabbitai modularize this function.
  • PR comments: Tag @coderabbitai in a new PR comment to ask questions about the PR branch. For the best results, please provide a very specific query, as very limited context is provided in this mode. Examples:
    • @coderabbitai gather interesting stats about this repository and render them as a table. Additionally, render a pie chart showing the language distribution in the codebase.
    • @coderabbitai read src/utils.ts and explain its main purpose.
    • @coderabbitai read the files in the src/scheduler package and generate a class diagram using mermaid and a README in the markdown format.
    • @coderabbitai help me debug CodeRabbit configuration file.

Support

Need help? Create a ticket on our support page for assistance with any issues or questions.

Note: Be mindful of the bot's finite context window. It's strongly recommended to break down tasks such as reading entire modules into smaller chunks. For a focused discussion, use review comments to chat about specific files and their changes, instead of using the PR comments.

CodeRabbit Commands (Invoked using PR comments)

  • @coderabbitai pause to pause the reviews on a PR.
  • @coderabbitai resume to resume the paused reviews.
  • @coderabbitai review to trigger an incremental review. This is useful when automatic reviews are disabled for the repository.
  • @coderabbitai full review to do a full review from scratch and review all the files again.
  • @coderabbitai summary to regenerate the summary of the PR.
  • @coderabbitai generate docstrings to generate docstrings for this PR.
  • @coderabbitai generate sequence diagram to generate a sequence diagram of the changes in this PR.
  • @coderabbitai generate unit tests to generate unit tests for this PR.
  • @coderabbitai resolve resolve all the CodeRabbit review comments.
  • @coderabbitai configuration to show the current CodeRabbit configuration for the repository.
  • @coderabbitai help to get help.

Other keywords and placeholders

  • Add @coderabbitai ignore anywhere in the PR description to prevent this PR from being reviewed.
  • Add @coderabbitai summary to generate the high-level summary at a specific location in the PR description.
  • Add @coderabbitai anywhere in the PR title to generate the title automatically.

CodeRabbit Configuration File (.coderabbit.yaml)

  • You can programmatically configure CodeRabbit by adding a .coderabbit.yaml file to the root of your repository.
  • Please see the configuration documentation for more information.
  • If your editor has YAML language server enabled, you can add the path at the top of this file to enable auto-completion and validation: # yaml-language-server: $schema=https://coderabbit.ai/integrations/schema.v2.json

Documentation and Community

  • Visit our Documentation for detailed information on how to use CodeRabbit.
  • Join our Discord Community to get help, request features, and share feedback.
  • Follow us on X/Twitter for updates and announcements.

@codecov
Copy link

codecov bot commented Jul 27, 2025

Codecov Report

✅ All modified and coverable lines are covered by tests.
⚠️ Please upload report for BASE (main@3185c22). Learn more about missing BASE report.
⚠️ Report is 1 commits behind head on main.

Additional details and impacted files
@@           Coverage Diff           @@
##             main     #758   +/-   ##
=======================================
  Coverage        ?   97.43%           
=======================================
  Files           ?       32           
  Lines           ?     1403           
  Branches        ?        0           
=======================================
  Hits            ?     1367           
  Misses          ?       36           
  Partials        ?        0           

☔ View full report in Codecov by Sentry.
📢 Have feedback on the report? Share it here.

🚀 New features to boost your workflow:
  • ❄️ Test Analytics: Detect flaky tests, report on failures, and find test suite problems.

Copy link
Contributor

@coderabbitai coderabbitai bot left a comment

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Actionable comments posted: 1

🧹 Nitpick comments (1)
executorlib/standalone/scheduler.py (1)

53-61: Simplify shell parameter logic for better clarity.

The current logic for handling the shell parameter is complex and potentially confusing. The automatic detection shell=not isinstance(commands, list) at line 60 may not align with the explicit shell parameter passed by the caller.

Consider simplifying the logic:

 def pysqa_execute_command(
     commands: Union[str, list[str]],
     working_directory: Optional[str] = None,
     split_output: bool = True,
     shell: bool = False,
 ) -> Union[str, list[str]]:
     """..."""
-    if shell and isinstance(commands, list):
-        commands = " ".join(commands)
+    # Convert list to string if shell mode is requested
+    if shell and isinstance(commands, list):
+        commands = " ".join(commands)
+    
     out = subprocess.check_output(
         commands,
         cwd=working_directory,
         stderr=subprocess.STDOUT,
         universal_newlines=True,
-        shell=not isinstance(commands, list),
+        shell=shell,
     )

This makes the shell parameter behavior more predictable and explicit.

📜 Review details

Configuration used: CodeRabbit UI
Review profile: CHILL
Plan: Pro

📥 Commits

Reviewing files that changed from the base of the PR and between 3185c22 and bafbf44.

📒 Files selected for processing (5)
  • executorlib/standalone/scheduler.py (1 hunks)
  • executorlib/task_scheduler/file/queue_spawner.py (2 hunks)
  • executorlib/task_scheduler/file/task_scheduler.py (1 hunks)
  • tests/test_fluxclusterexecutor.py (1 hunks)
  • tests/test_interactive_slurmspawner.py (4 hunks)
⏰ Context from checks skipped due to timeout of 90000ms. You can increase the timeout in your CodeRabbit configuration to a maximum of 15 minutes (900000ms). (15)
  • GitHub Check: unittest_mpich (ubuntu-latest, 3.11)
  • GitHub Check: unittest_openmpi (macos-latest, 3.13)
  • GitHub Check: unittest_openmpi (ubuntu-latest, 3.11)
  • GitHub Check: unittest_openmpi (ubuntu-latest, 3.13)
  • GitHub Check: unittest_openmpi (ubuntu-latest, 3.12)
  • GitHub Check: unittest_mpich (ubuntu-latest, 3.13)
  • GitHub Check: unittest_mpich (ubuntu-latest, 3.12)
  • GitHub Check: unittest_mpich (macos-latest, 3.13)
  • GitHub Check: notebooks_integration
  • GitHub Check: unittest_flux_openmpi
  • GitHub Check: unittest_slurm_mpich
  • GitHub Check: unittest_win
  • GitHub Check: unittest_flux_mpich
  • GitHub Check: benchmark (ubuntu-latest, 3.13, .ci_support/environment-mpich.yml)
  • GitHub Check: benchmark (ubuntu-latest, 3.13, .ci_support/environment-openmpi.yml)
🔇 Additional comments (8)
tests/test_fluxclusterexecutor.py (1)

14-15: Import changes look correct for the refactoring.

The updated import correctly reflects the extraction of terminate_with_pysqa to the new standalone scheduler module while keeping the other functions in their original location.

tests/test_interactive_slurmspawner.py (2)

5-5: Import update correctly reflects the refactoring.

The import has been properly updated to use pysqa_execute_command from the new standalone scheduler module.


17-17: Function calls consistently updated.

All test method calls have been properly updated to use the new function name pysqa_execute_command instead of the previous _pysqa_execute_command.

Also applies to: 28-28, 40-40

executorlib/task_scheduler/file/task_scheduler.py (1)

20-21: Import restructuring aligns with the refactoring objective.

The split import correctly reflects the extraction of terminate_with_pysqa to the standalone scheduler module while keeping execute_with_pysqa in its current location. This maintains the logical separation of concerns.

executorlib/task_scheduler/file/queue_spawner.py (3)

2-2: Import cleanup is appropriate.

Correctly removed unused imports (contextlib, subprocess, Union) that are no longer needed after moving the functions to the standalone module.


7-7: Import from new standalone module is correct.

Properly imports the extracted functions from the new executorlib.standalone.scheduler module.


45-45: Function call updated correctly.

The call to pysqa_execute_command (without underscore prefix) correctly uses the imported function from the standalone module.

executorlib/standalone/scheduler.py (1)

8-30: Function implementation looks solid.

The terminate_with_pysqa function correctly handles job termination with proper status checking and error suppression. The logic is defensive and appropriate for job queue management.

Comment on lines +32 to +38
def pysqa_execute_command(
commands: str,
working_directory: Optional[str] = None,
split_output: bool = True,
shell: bool = False,
error_filename: str = "pysqa.err",
) -> Union[str, list[str]]:
Copy link
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

🛠️ Refactor suggestion

Fix type annotation and parameter usage inconsistency.

The function signature declares commands: str but the implementation handles both strings and lists. Additionally, the error_filename parameter is documented but never used in the implementation.

 def pysqa_execute_command(
-    commands: str,
+    commands: Union[str, list[str]],
     working_directory: Optional[str] = None,
     split_output: bool = True,
     shell: bool = False,
-    error_filename: str = "pysqa.err",
 ) -> Union[str, list[str]]:

If error_filename is intended for future use, consider adding a comment explaining its purpose or implement its usage.

📝 Committable suggestion

‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

Suggested change
def pysqa_execute_command(
commands: str,
working_directory: Optional[str] = None,
split_output: bool = True,
shell: bool = False,
error_filename: str = "pysqa.err",
) -> Union[str, list[str]]:
def pysqa_execute_command(
commands: Union[str, list[str]],
working_directory: Optional[str] = None,
split_output: bool = True,
shell: bool = False,
) -> Union[str, list[str]]:
# ...
🤖 Prompt for AI Agents
In executorlib/standalone/scheduler.py around lines 32 to 38, the function
pysqa_execute_command has a type annotation for commands as str, but the
implementation supports both str and list types, causing inconsistency. Also,
the error_filename parameter is declared but unused. Fix this by updating the
commands parameter type annotation to accept both str and list[str], and either
implement the usage of error_filename in the function or add a comment
explaining its intended future use.

@jan-janssen jan-janssen merged commit 88f44ef into main Jul 27, 2025
54 of 55 checks passed
@jan-janssen jan-janssen deleted the standalone_scheduler branch July 27, 2025 07:25
@coderabbitai coderabbitai bot mentioned this pull request Sep 8, 2025
5 tasks
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Labels

None yet

Projects

None yet

Development

Successfully merging this pull request may close these issues.

2 participants