Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Change Backend Names #500

Merged
merged 8 commits into from
Nov 15, 2024
Merged

Change Backend Names #500

merged 8 commits into from
Nov 15, 2024

Conversation

jan-janssen
Copy link
Member

@jan-janssen jan-janssen commented Nov 15, 2024

Summary by CodeRabbit

Release Notes

  • New Features

    • Enhanced backend handling for executor creation, including updated default values and improved resource management.
    • New error handling for unsupported backend types in executor functions.
    • Added a test for error handling when an invalid backend is specified.
  • Documentation

    • Updated examples in the notebook to reflect changes in backend parameter naming for clarity and consistency.
  • Bug Fixes

    • Adjusted backend parameter checks in various executor functions to align with new naming conventions.

These updates streamline the execution process and improve user experience when configuring backend options.

Copy link

Check out this pull request on  ReviewNB

See visual diffs & provide feedback on Jupyter Notebooks.


Powered by ReviewNB

Copy link
Contributor

coderabbitai bot commented Nov 15, 2024

Walkthrough

The pull request introduces modifications to the Executor class and related functions across several files in the executorlib library. Key changes include updates to the __new__ method's logic for backend selection and resource management in executorlib/__init__.py, adjustments to the create_file_executor function in executorlib/cache/executor.py, and enhancements to the create_executor function in executorlib/interactive/executor.py. Additionally, examples in notebooks/examples.ipynb have been updated to reflect new backend naming conventions. These changes streamline backend handling and improve error management.

Changes

File Change Summary
executorlib/init.py Modified __new__ method logic in Executor class for backend checks and resource management. Updated default values in resource_dict.
executorlib/cache/executor.py Changed default backend value in create_file_executor from "pysqa_flux" to "flux_submission". Updated backend processing logic in FileExecutor.
executorlib/interactive/executor.py Updated create_executor function to handle new backend types and improve error handling. Adjustments made to resource dictionary management.
notebooks/examples.ipynb Updated examples to use "flux_allocation" instead of "flux" for backend in multiple instances of Executor. Minor markdown clarifications added.
tests/test_cache_executor_pysqa_flux.py Updated TestCacheExecutorPysqa to use "flux_submission" instead of "pysqa_flux" for backend in tests.
tests/test_executor_backend_flux.py Modified TestFluxBackend to change backend from "flux" to "flux_allocation" in multiple test cases.
executorlib/standalone/inputcheck.py Updated check_pmi function to modify backend checks from "flux" to "flux_allocation" in validation logic.
tests/test_dependencies_executor.py Added test_create_executor_error to check for error handling with an invalid backend in create_executor.
tests/test_shared_input_check.py Updated test_check_pmi to reflect the new backend parameter in check_pmi validation.

Possibly related PRs

🐰 In the meadow where bunnies play,
The Executors now find a better way.
With backends updated, they hop with glee,
Resource management as smooth as can be!
So let’s celebrate this joyful change,
In our fluffy world, nothing feels strange! 🌼✨

Warning

Rate limit exceeded

@jan-janssen has exceeded the limit for the number of commits or files that can be reviewed per hour. Please wait 20 minutes and 52 seconds before requesting another review.

⌛ How to resolve this issue?

After the wait time has elapsed, a review can be triggered using the @coderabbitai review command as a PR comment. Alternatively, push new commits to this PR.

We recommend that you space out your commits to avoid hitting the rate limit.

🚦 How do rate limits work?

CodeRabbit enforces hourly rate limits for each developer per organization.

Our paid plans have higher rate limits than the trial, open-source and free plans. In all cases, we re-allow further reviews after a brief timeout.

Please see our FAQ for further information.

📥 Commits

Reviewing files that changed from the base of the PR and between 93bd0be and 5cce4fc.


Thank you for using CodeRabbit. We offer it for free to the OSS community and would appreciate your support in helping us grow. If you find it useful, would you consider giving us a shout-out on your favorite social media?

❤️ 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.
    • Generate unit testing code for this file.
    • 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 generate unit testing code for this file.
    • @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 generate unit testing code.
    • @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.

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 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.

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: 5

🧹 Outside diff range and nitpick comments (6)
executorlib/cache/executor.py (1)

Line range hint 84-116: Consider centralizing backend validation

The file has multiple validation checks for flux-specific aspects but lacks centralized backend name validation. Consider creating a dedicated validation function for backend names, similar to the existing check functions.

Suggestions:

  1. Create a new validation function (e.g., check_backend_format) in the executorlib/standalone/inputcheck.py module
  2. Use this function across all executor creation points to ensure consistent validation
  3. Consider creating an enum or constants for supported backend types to prevent typos and improve maintainability
executorlib/__init__.py (2)

200-202: Consider simplifying the conditional logic

The condition not disable_dependencies and (plot_dependency_graph or "_allocation" in backend) is complex and could be made more readable.

Consider extracting the condition into a descriptive function:

+def _should_use_dependencies(disable_dependencies: bool, plot_dependency_graph: bool, backend: str) -> bool:
+    return not disable_dependencies and (plot_dependency_graph or "_allocation" in backend)
+
 def __new__(cls, ...):
     # ...
-    elif not disable_dependencies and (
-        plot_dependency_graph or "_allocation" in backend
-    ):
+    elif _should_use_dependencies(disable_dependencies, plot_dependency_graph, backend):

Line range hint 204-238: Reduce code duplication in validation checks

The validation checks for pysqa_config_directory, plot_dependency_graph, and refresh_rate are duplicated across different execution paths.

Consider moving these checks to the beginning of the method:

 def __new__(cls, ...):
     # ... resource_dict initialization ...
+    
+    # Validate common parameters upfront
+    _check_pysqa_config_directory(pysqa_config_directory=pysqa_config_directory)
+    _check_plot_dependency_graph(plot_dependency_graph=plot_dependency_graph)
+    _check_refresh_rate(refresh_rate=refresh_rate)
+
     if "_submission" in backend and not plot_dependency_graph:
         # ... first path ...
     elif _should_use_dependencies(disable_dependencies, plot_dependency_graph, backend):
-        _check_pysqa_config_directory(pysqa_config_directory=pysqa_config_directory)
         return ExecutorWithDependencies(...)
     else:
-        _check_pysqa_config_directory(pysqa_config_directory=pysqa_config_directory)
-        _check_plot_dependency_graph(plot_dependency_graph=plot_dependency_graph)
-        _check_refresh_rate(refresh_rate=refresh_rate)
         return create_executor(...)
executorlib/interactive/executor.py (3)

Line range hint 207-216: Potential misuse of 'slurm_cmd_args' in 'flux_allocation' backend

In the 'flux_allocation' backend block, slurm_cmd_args is being checked and deleted from resource_dict. Since slurm_cmd_args is specific to SLURM, it may not be appropriate to handle it within the Flux backend.

Please review the use of slurm_cmd_args in the Flux backend block. If slurm_cmd_args is not applicable to Flux, consider removing these references to prevent confusion and potential errors.


Line range hint 258-266: Unnecessary 'slurm_cmd_args' handling in 'local' backend

In the 'local' backend block, slurm_cmd_args is being checked and deleted from resource_dict. Since SLURM command-line arguments are not applicable to the local backend, this may be unnecessary.

Please verify if handling slurm_cmd_args in the local backend is required. If not, removing these references would simplify the code and reduce potential confusion.


Line range hint 207-291: Refactor to eliminate duplicated code in backend handling

The logic within the create_executor function for handling different backends contains duplicated code, particularly in setting up resource_dict and creating executor instances.

Consider refactoring the common code into helper functions or abstractions to reduce duplication. This will improve maintainability and make future updates easier.

For example, you could create a function to handle common setup tasks:

def setup_executor(
    max_cores,
    max_workers,
    cores_per_worker,
    resource_dict,
    block_allocation,
    init_function,
    spawner,
    set_local_cores=False,
):
    if block_allocation:
        resource_dict["init_function"] = init_function
        return InteractiveExecutor(
            max_workers=validate_number_of_cores(
                max_cores=max_cores,
                max_workers=max_workers,
                cores_per_worker=cores_per_worker,
                set_local_cores=set_local_cores,
            ),
            executor_kwargs=resource_dict,
            spawner=spawner,
        )
    else:
        return InteractiveStepExecutor(
            max_cores=max_cores,
            max_workers=max_workers,
            executor_kwargs=resource_dict,
            spawner=spawner,
        )

Then, replace the backend-specific executor creation with calls to this function.

📜 Review details

Configuration used: CodeRabbit UI
Review profile: CHILL

📥 Commits

Reviewing files that changed from the base of the PR and between c1b8b22 and 0e56890.

📒 Files selected for processing (4)
  • executorlib/__init__.py (2 hunks)
  • executorlib/cache/executor.py (2 hunks)
  • executorlib/interactive/executor.py (4 hunks)
  • notebooks/examples.ipynb (8 hunks)
🔇 Additional comments (8)
notebooks/examples.ipynb (7)

72-72: LGTM: Backend name updated correctly

The backend parameter has been updated from "flux" to "flux_allocation" in the basic example.


106-106: LGTM: Backend name updated correctly

The backend parameter has been updated from "flux" to "flux_allocation" in the multiple function submission example.


162-162: LGTM: Backend name updated correctly

The backend parameter has been updated from "flux" to "flux_allocation" in the map function example.


280-280: LGTM: Backend name updated correctly

The backend parameter has been updated from "flux" to "flux_allocation" in the simplified resource definition example.


335-335: LGTM: Backend name updated correctly

The backend parameter has been updated from "flux" to "flux_allocation" in the data handling example.


465-466: LGTM: Backend name updated correctly

The backend parameter has been updated from "flux" to "flux_allocation" in the MPI parallel example.


522-522: LGTM: Backend name updated correctly

The backend parameter has been updated from "flux" to "flux_allocation" in the GPU example.

executorlib/interactive/executor.py (1)

201-202: Confirm overwriting of 'backend' when 'flux_executor' is provided

The code sets backend = "flux_allocation" when flux_executor is not None and backend is not already "flux_allocation". This may override the user's specified backend unintentionally.

Ensure that overwriting the backend in this case is intentional and does not lead to unexpected behavior for users who specify a different backend along with a flux_executor.

@@ -113,6 +113,6 @@ def create_file_executor(
cache_directory=cache_directory,
resource_dict=resource_dict,
pysqa_config_directory=pysqa_config_directory,
backend=backend.split("pysqa_")[-1],
backend=backend.split("_submission")[0],
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

Add validation for backend name format

The current implementation assumes all backend names will contain "_submission" without validation. This could lead to unexpected behavior if an invalid backend name is provided.

Consider adding validation and proper error handling:

-        backend=backend.split("_submission")[0],
+        backend=backend.split("_submission")[0] if "_submission" in backend else 
+            raise ValueError(f"Invalid backend format: {backend}. Expected format: <backend>_submission")

This ensures that:

  1. The backend name follows the expected format
  2. Invalid formats are caught early with a clear error message

Committable suggestion skipped: line range outside the PR's diff.

@@ -81,7 +81,7 @@

def create_file_executor(
max_workers: int = 1,
backend: str = "pysqa_flux",
backend: str = "flux_submission",
Copy link
Contributor

Choose a reason for hiding this comment

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

💡 Codebase verification

⚠️ Potential issue

Update test and error messages for backend naming convention change

The verification reveals several issues that need to be addressed:

  • The test file tests/test_cache_executor_pysqa_flux.py still uses the old pysqa_flux backend name
  • Multiple error messages across the codebase reference "pysqa based backend" which is outdated
  • The codebase shows a clear transition to the new *_submission naming convention

Required changes:

  • Rename tests/test_cache_executor_pysqa_flux.py to match the new naming convention and update its content
  • Update error messages in:
    • executorlib/cache/executor.py
    • executorlib/cache/shared.py
    • executorlib/standalone/inputcheck.py
    • executorlib/__init__.py
🔗 Analysis chain

Breaking change: Verify impact of backend name change

The default backend value has changed from "pysqa_flux" to "flux_submission", which could break existing code. Additionally, the error messages still reference "pysqa based backend" which is inconsistent with the new naming convention.

Let's verify the impact and consistency:

Consider:

  1. Adding a deprecation warning for the old backend name
  2. Updating error messages to remove "pysqa based backend" references
  3. Updating documentation to reflect the new naming convention
🏁 Scripts executed

The following scripts were executed for the analysis:

Script:

#!/bin/bash
# Check for direct usage of the old backend name
rg "pysqa_flux"

# Check for references to pysqa in error messages and comments
rg -l "pysqa.*backend"

# Check for consistency in backend naming across the codebase
rg "_submission[\"']|\.[\"']submission"

Length of output: 517


Script:

#!/bin/bash
# Let's check the content of the test file to understand the test context
cat tests/test_cache_executor_pysqa_flux.py

# Check the actual error messages containing pysqa references
rg -A 2 "pysqa.*backend" executorlib/cache/executor.py
rg -A 2 "pysqa.*backend" executorlib/cache/shared.py
rg -A 2 "pysqa.*backend" executorlib/standalone/inputcheck.py
rg -A 2 "pysqa.*backend" executorlib/__init__.py

# Check if there are any other backend types being used
rg "backend\s*=\s*[\"'][^\"']*[\"']"

Length of output: 6194

@@ -179,7 +179,7 @@ def __new__(
resource_dict.update(
{k: v for k, v in default_resource_dict.items() if k not in resource_dict}
)
if "pysqa_" in backend and not plot_dependency_graph:
if "_submission" in backend and not plot_dependency_graph:
Copy link
Contributor

Choose a reason for hiding this comment

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

💡 Codebase verification

Based on the shell script results, I can now generate the final response:

Backend naming convention changes are partially implemented

The codebase shows an inconsistent state of backend naming conventions:

  • New _submission and _allocation suffixes are used in the core implementation
  • However, there are still multiple references to the old pysqa_ prefix, particularly in:
    • Core functionality: executorlib/cache/queue_spawner.py (_pysqa_execute_command)
    • Configuration handling: executorlib/standalone/inputcheck.py (check_pysqa_config_directory)
    • Multiple parameter references in docstrings and type hints across the codebase
🔗 Analysis chain

Verify backend naming convention changes across the codebase

The change from checking "pysqa_" to "_submission" in the backend string represents a significant change in naming conventions. Let's verify this change is consistently applied across the codebase.

🏁 Scripts executed

The following scripts were executed for the analysis:

Script:

#!/bin/bash
# Description: Check for any remaining instances of old backend naming and verify new naming convention usage

# Check for any remaining "pysqa_" backend references
echo "Checking for old 'pysqa_' backend references:"
rg "pysqa_" --type py

# Check usage of new "_submission" backend naming
echo -e "\nChecking new '_submission' backend usage:"
rg "_submission" --type py

# Check usage of new "_allocation" backend naming
echo -e "\nChecking new '_allocation' backend usage:"
rg "_allocation" --type py

Length of output: 9620

Comment on lines +686 to 688
"The `backend=\"slurm_allocation\"` parameter is optional as `executorlib` automatically recognizes if [flux framework](https://flux-framework.org)\n",
"or SLURM are available. \n",
"\n",
Copy link
Contributor

Choose a reason for hiding this comment

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

⚠️ Potential issue

Fix documentation inconsistency with backend name

The documentation mentions backend="slurm_allocation" but all previous examples use backend="flux_allocation". This inconsistency could confuse users.

Apply this diff to fix the inconsistency:

-The `backend="slurm_allocation"` parameter is optional as `executorlib` automatically recognizes if [flux framework](https://flux-framework.org)
+The `backend="flux_allocation"` parameter is optional as `executorlib` automatically recognizes if [flux framework](https://flux-framework.org)
📝 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
"The `backend=\"slurm_allocation\"` parameter is optional as `executorlib` automatically recognizes if [flux framework](https://flux-framework.org)\n",
"or SLURM are available. \n",
"\n",
"The `backend=\"flux_allocation\"` parameter is optional as `executorlib` automatically recognizes if [flux framework](https://flux-framework.org)\n",
"or SLURM are available. \n",
"\n",

Comment on lines +288 to +291
else:
raise ValueError(
"The supported backends are slurm_allocation, slurm_submission, flux_allocation, flux_submission and local."
)
Copy link
Contributor

Choose a reason for hiding this comment

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

⚠️ Potential issue

Unsupported backends mentioned in error message

The error message lists 'slurm_submission' and 'flux_submission' as supported backends, but there is no handling for these backends in the code above. This could lead to confusion if a user specifies one of these backends.

Either implement handling for 'slurm_submission' and 'flux_submission' backends or update the error message to reflect the actual supported backends. This will ensure users receive accurate information.

Apply this diff to update the error message:

            raise ValueError(
-                "The supported backends are slurm_allocation, slurm_submission, flux_allocation, flux_submission and local."
+                "The supported backends are slurm_allocation, flux_allocation, and local."
            )
📝 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
else:
raise ValueError(
"The supported backends are slurm_allocation, slurm_submission, flux_allocation, flux_submission and local."
)
else:
raise ValueError(
"The supported backends are slurm_allocation, flux_allocation, and local."
)

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: 0

🧹 Outside diff range and nitpick comments (3)
tests/test_cache_executor_pysqa_flux.py (1)

36-36: Backend name change looks good, but consider updating the test class name.

The backend name change from "pysqa_flux" to "flux_submission" aligns with the PR objectives. However, the test class name TestCacheExecutorPysqa still contains "Pysqa" which might be confusing given the new naming convention.

Consider renaming the test class to better reflect the new backend naming:

-class TestCacheExecutorPysqa(unittest.TestCase):
+class TestCacheExecutorFlux(unittest.TestCase):
tests/test_executor_backend_flux.py (2)

109-110: Consider additional memory handling test cases

While the backend name change is consistent, consider adding test cases for:

  • Memory handling with multiple concurrent tasks
  • Memory cleanup scenarios
  • Error cases in memory initialization

Would you like me to propose additional test cases to improve coverage?


Line range hint 1-115: Update docstrings to reflect new backend names

Consider adding docstrings to the test class and methods to document:

  • The purpose of the "flux_allocation" backend
  • Expected behavior differences from the old "flux" backend
  • Requirements and prerequisites for running these tests
📜 Review details

Configuration used: CodeRabbit UI
Review profile: CHILL

📥 Commits

Reviewing files that changed from the base of the PR and between 0e56890 and 7c5ccab.

📒 Files selected for processing (3)
  • executorlib/__init__.py (1 hunks)
  • tests/test_cache_executor_pysqa_flux.py (1 hunks)
  • tests/test_executor_backend_flux.py (5 hunks)
🚧 Files skipped from review as they are similar to previous changes (1)
  • executorlib/init.py
🔇 Additional comments (5)
tests/test_cache_executor_pysqa_flux.py (1)

Line range hint 36-40: Verify backend name consistency across the codebase.

Let's ensure this backend name change is consistently applied across all relevant files.

✅ Verification successful

Based on the search results, I can generate the final response:

Backend name 'flux_submission' is consistently used, but there are multiple flux-related backend variations that seem legitimate

The codebase shows consistent usage of different flux-related backend names that appear to serve distinct purposes:

  • flux_submission: Used in cache executor contexts
  • flux_allocation: Used in interactive executor contexts
  • flux: Used in standalone input checking and benchmarks

These variations seem intentional based on their usage patterns in different components:

  • Cache executor: flux_submission (default in executorlib/cache/executor.py)
  • Interactive executor: flux_allocation (used in executorlib/interactive/executor.py)
  • Input checking: flux (validated in executorlib/standalone/inputcheck.py)

No instances of the old pysqa_flux backend name were found, confirming the migration is complete.

🏁 Scripts executed

The following scripts were executed for the analysis:

Script:

#!/bin/bash
# Description: Check for any remaining references to the old backend name and verify new backend name usage

echo "Checking for old backend name 'pysqa_flux'..."
rg "pysqa_flux"

echo -e "\nChecking usage of new backend name 'flux_submission'..."
rg "flux_submission"

echo -e "\nChecking for potential backend name definitions or mappings..."
rg -g "*.py" "backend.*=.*['\"]flux"

Length of output: 1978

tests/test_executor_backend_flux.py (4)

65-66: LGTM! Changes are consistent

The backend name change is consistent with the previous test method, and the threading test logic remains intact.


93-95: LGTM! Map operation test remains valid

The backend name change is consistent, and the test coverage for map operations with MPI tasks remains appropriate.


80-82: Verify PMI mode configuration with new backend

The backend name change is consistent, and the PMI mode configuration is preserved. Let's verify the PMI mode handling in the new backend implementation.

#!/bin/bash
# Search for PMI mode handling in the new backend
ast-grep --pattern 'flux_executor_pmi_mode'

50-51: Verify backend name consistency across codebase

The backend name change from "flux" to "flux_allocation" appears correct, but let's ensure this new name is consistently used across the codebase.

✅ Verification successful

Backend name change is consistent and correct

The change from "flux" to "flux_allocation" in the test file is verified to be correct. The codebase shows:

  1. The backend name "flux_allocation" is properly defined in the create_executor function
  2. The backend supports both allocation and submission modes, with "flux_allocation" being one of the valid options
  3. The test changes align with the implementation in executorlib/interactive/executor.py
🏁 Scripts executed

The following scripts were executed for the analysis:

Script:

#!/bin/bash
# Search for any remaining old "flux" backend references
rg '"flux"' --type python | grep -v "flux_allocation" | grep -v "flux_submission"

# Search for the new backend name usage
rg '"flux_allocation"' --type python

Length of output: 1730


Script:

#!/bin/bash
# Search for backend name references with better context
rg -A 2 -B 2 'backend\s*=\s*["\']flux' --type python

# Search for the new backend name with context
rg -A 2 -B 2 'backend\s*=\s*["\']flux_allocation' --type python

# Search for backend-related configuration or constants
rg -A 2 -B 2 'BACKEND.*flux' --type python --ignore-case

Length of output: 93


Script:

#!/bin/bash
# Search for backend-related code with simpler patterns
rg -l "backend.*flux" --type python

# Look for executor backend implementations
fd -e py | xargs grep -l "class.*Flux.*Backend"

# Search for backend registration or configuration
rg "backend.*=.*flux" --type python

Length of output: 223


Script:

#!/bin/bash
# Examine the test file content to understand the backend implementation
cat tests/test_executor_backend_flux.py

# Look for any backend registration or configuration files
fd -t f -e py | xargs grep -l "flux"

Length of output: 3742


Script:

#!/bin/bash
# Check the implementation files for backend registration
cat executorlib/interactive/flux.py

# Check the executor initialization
cat executorlib/interactive/executor.py

Length of output: 17212

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

🧹 Outside diff range and nitpick comments (1)
executorlib/standalone/inputcheck.py (1)

120-122: Update error message to reflect new backend name.

While the backend name has been updated from "flux" to "flux_allocation", the error message still refers to "flux". This could be confusing for users.

Apply this diff to maintain consistency:

    if backend != "flux_allocation" and pmi is not None:
-       raise ValueError("The pmi parameter is currently only implemented for flux.")
+       raise ValueError("The pmi parameter is currently only implemented for flux_allocation.")
📜 Review details

Configuration used: CodeRabbit UI
Review profile: CHILL

📥 Commits

Reviewing files that changed from the base of the PR and between 7c5ccab and 93bd0be.

📒 Files selected for processing (2)
  • executorlib/standalone/inputcheck.py (1 hunks)
  • notebooks/examples.ipynb (11 hunks)
🚧 Files skipped from review as they are similar to previous changes (1)
  • notebooks/examples.ipynb
🔇 Additional comments (1)
executorlib/standalone/inputcheck.py (1)

122-125: LGTM: PMI validation logic is robust.

The validation logic for PMI values is well-implemented, with clear error messages listing the supported values.

Comment on lines +120 to +122
if backend != "flux_allocation" and pmi is not None:
raise ValueError("The pmi parameter is currently only implemented for flux.")
elif backend == "flux" and pmi not in ["pmix", "pmi1", "pmi2", None]:
elif backend == "flux_allocation" and pmi not in ["pmix", "pmi1", "pmi2", None]:
Copy link
Contributor

Choose a reason for hiding this comment

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

💡 Codebase verification

Backend name inconsistency detected - update required

Several files still use the old "flux" backend name instead of "flux_allocation":

  • executorlib/__init__.py: Documentation and code references "flux" in backend options
  • executorlib/interactive/executor.py: Documentation lists "flux" as a backend option
  • tests/test_shared_input_check.py: Uses "flux" in test cases
  • tests/test_cache_executor_serial.py: Uses "flux" in test execution
  • tests/benchmark/llh.py: Uses "flux" for backend configuration

These instances need to be updated to use "flux_allocation" for consistency with the new implementation.

🔗 Analysis chain

Verify consistent usage of new backend name.

Let's ensure the new backend name "flux_allocation" is used consistently across the codebase.

🏁 Scripts executed

The following scripts were executed for the analysis:

Script:

#!/bin/bash
# Description: Check for any remaining instances of the old "flux" backend name
# and verify consistent usage of "flux_allocation"

echo "Checking for old 'flux' backend references..."
rg --type python '"flux"' -C 2 | grep -v "flux_allocation" | grep -v "flux_submission"

echo "Verifying usage of new 'flux_allocation' backend..."
rg --type python '"flux_allocation"' -C 2

Length of output: 416


Script:

#!/bin/bash
# Let's try without specifying file type since Python extension isn't recognized
echo "Checking for old 'flux' backend references..."
rg '"flux"' -C 2 | grep -v "flux_allocation" | grep -v "flux_submission"

echo -e "\nVerifying usage of new 'flux_allocation' backend..."
rg '"flux_allocation"' -C 2

Length of output: 7580

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

🧹 Outside diff range and nitpick comments (1)
tests/test_dependencies_executor.py (1)

76-78: LGTM! Consider adding more test cases.

The test correctly verifies error handling for invalid backend names. However, to ensure comprehensive coverage, consider adding test cases for:

  • Other invalid backend names
  • Empty string backend name
  • None as backend name

Example addition:

 def test_create_executor_error(self):
     with self.assertRaises(ValueError):
         create_executor(backend="toast", resource_dict={"cores": 1})
+    with self.assertRaises(ValueError):
+        create_executor(backend="", resource_dict={"cores": 1})
+    with self.assertRaises(ValueError):
+        create_executor(backend=None, resource_dict={"cores": 1})
📜 Review details

Configuration used: CodeRabbit UI
Review profile: CHILL

📥 Commits

Reviewing files that changed from the base of the PR and between 93bd0be and 5cce4fc.

📒 Files selected for processing (2)
  • tests/test_dependencies_executor.py (1 hunks)
  • tests/test_shared_input_check.py (1 hunks)
🔇 Additional comments (2)
tests/test_shared_input_check.py (1)

69-69: LGTM! Backend name update is consistent with PR objectives.

The change from "flux" to "flux_allocation" aligns with the PR's goal of updating backend names.

tests/test_dependencies_executor.py (1)

76-78: Verify test coverage for all valid backend names.

Let's ensure that positive test cases exist for all supported backend names.

✅ Verification successful

Based on the search results, I can now generate a final response as we have found all the valid backend types and their test coverage.

Test coverage for backend names is comprehensive

The error test case for invalid backend "toast" is appropriate, and the codebase shows thorough testing of all valid backends:

  • "local" - tested in multiple test files with both blocked and non-blocked allocation
  • "flux_allocation" - covered in flux-specific test files with PMI mode variations
  • "flux_submission" - tested in cache executor tests
  • "slurm_allocation" - validated in input checks

The negative test case complements the extensive positive test coverage across the test suite.

🏁 Scripts executed

The following scripts were executed for the analysis:

Script:

#!/bin/bash
# Find all valid backend names in the codebase
echo "Searching for backend name definitions..."
rg -l "backend.*=.*['\"].*['\"]" --type py

# Find existing test cases for backends
echo "Searching for backend-related test cases..."
rg -l "test.*backend" --type py tests/

Length of output: 688


Script:

#!/bin/bash
# Let's examine the backend definitions and test cases more precisely
echo "Searching for backend definitions..."
rg "backend.*=.*['\"].*['\"]" --type py -A 2

echo "\nSearching for backend-related test cases..."
rg "def test.*backend" --type py tests/ -B 1 -A 1

echo "\nSearching for create_executor test cases..."
rg "create_executor\(.*backend.*\)" tests/ -B 1 -A 1

Length of output: 10214

@@ -66,7 +66,7 @@ def test_check_pmi(self):
with self.assertRaises(ValueError):
check_pmi(backend="test", pmi="test")
with self.assertRaises(ValueError):
check_pmi(backend="flux", pmi="test")
check_pmi(backend="flux_allocation", pmi="test")
Copy link
Contributor

Choose a reason for hiding this comment

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

💡 Codebase verification

Backend name "flux" still exists in some test files and needs to be updated

Found inconsistent backend naming that needs attention:

  • tests/test_cache_executor_serial.py: Uses backend="flux"
  • tests/benchmark/llh.py: Uses backend="flux"

These files should be updated to use backend="flux_allocation" for consistency with the changes in other test files.

🔗 Analysis chain

Verify consistent backend name updates across the codebase.

Let's ensure the backend name change from "flux" to "flux_allocation" is consistently applied.


Let me try another search strategy without relying on file type detection.

🏁 Scripts executed

The following scripts were executed for the analysis:

Script:

#!/bin/bash
# Description: Check for any remaining instances of the old "flux" backend name
# and verify the new "flux_allocation" name is used consistently

# Search for any remaining standalone "flux" backend references
echo "Checking for old 'flux' backend references:"
rg --type python 'backend="flux"' || rg --type python "backend='flux'"

# Search for the new "flux_allocation" backend references to confirm consistent usage
echo -e "\nVerifying new 'flux_allocation' backend usage:"
rg --type python 'backend="flux_allocation"' || rg --type python "backend='flux_allocation'"

# Search for any flux-related configuration or backend definitions
echo -e "\nChecking backend definitions and configurations:"
ast-grep --pattern 'backend = "flux"' || ast-grep --pattern "backend = 'flux'"

Length of output: 672


Script:

#!/bin/bash
# Search for any remaining standalone "flux" backend references
echo "Checking for old 'flux' backend references:"
rg 'backend="flux"' || rg "backend='flux'"

# Search for the new "flux_allocation" backend references
echo -e "\nVerifying new 'flux_allocation' backend usage:"
rg 'backend="flux_allocation"' || rg "backend='flux_allocation'"

# Search for flux-related imports or configurations
echo -e "\nChecking flux-related imports and configurations:"
rg -A 2 'from.*flux' || rg -A 2 'import.*flux'

Length of output: 2478

@jan-janssen jan-janssen merged commit 294965d into main Nov 15, 2024
26 checks passed
@jan-janssen jan-janssen deleted the backend_names branch November 15, 2024 21:30
This was referenced Nov 19, 2024
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.

1 participant