optimized the sort_loops in module.py and also improved readability

[Davda-James]

Proposed change

Reafactoring sort_loops in module.py, made it more readable and optimized.

no separate issue was there for it, suggestion by @pUrGe12 in PR #1146

Type of change

• Code refactoring without any functionality changes

Checklist

• I've followed the [contributing guidelines][contributing-guidelines]
• I've run make pre-commit, it didn't generate any changes
• I've run make test, all tests passed locally

[coderabbitai]

Summary by CodeRabbit

• Bug Fixes

  • Corrected step execution sequencing, ensuring actions that rely on temporary data run in the intended order.
  • Improves consistency and predictability of results across runs.

• Refactor

  • Reorganized step handling to process items deterministically based on dependency type, enhancing stability without altering external behavior.

Walkthrough

Refactors sort_loops in nettacker/core/module.py to partition steps into three categories based on response flags and then reassemble them in a fixed order. Removes the previous mixed accumulation logic. No changes to public APIs or start() beyond relying on the new step ordering.

Changes

Cohort / File(s)	Change summary
Core module sorting logic nettacker/core/module.py	Replaced single/multi-pass accumulation with three categorized lists: steps_without_dependencies (no dependent_on_temp_event), steps_with_temp_dependencies (save_to_temp_events_only), and steps_with_normal_dependencies (others), then concatenated in that order to rebuild payload steps. Removed prior unconditional accumulation path.

Estimated code review effort

🎯 3 (Moderate) | ⏱️ ~20 minutes

Pre-merge checks and finishing touches

❌ Failed checks (1 warning)

Check name	Status	Explanation	Resolution
Docstring Coverage	⚠️ Warning	Docstring coverage is 0.00% which is insufficient. The required threshold is 80.00%.	You can run @coderabbitai generate docstrings to improve docstring coverage.

✅ Passed checks (2 passed)

Check name	Status	Explanation
Title Check	✅ Passed	The title clearly summarizes the primary change by indicating that the sort_loops function in module.py has been optimized and made more readable, directly reflecting the refactoring described in the changeset.
Description Check	✅ Passed	The pull request description accurately describes the refactoring and optimization of the sort_loops function in module.py, confirms there are no functionality changes, and aligns with the changeset details, making it directly relevant.

✨ Finishing touches

• 📝 Generate docstrings

🧪 Generate unit tests (beta)

• Create PR with unit tests
• Post copyable unit tests in a comment

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[Copilot]

Pull Request Overview

This PR refactors the sort_loops method in nettacker/core/module.py to improve code readability and optimize performance by eliminating redundant iterations over the same data structure.

• Replaces three separate loops with a single loop that categorizes steps based on their dependency type
• Introduces descriptive variable names for different step categories
• Maintains the same sorting order while reducing computational complexity

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[coderabbitai]

Actionable comments posted: 0

🧹 Nitpick comments (1)

nettacker/core/module.py (1)

126-126: Consider shallow copy for better performance.

The deepcopy ensures safe iteration when modifying the list, but since the entire steps list is reassigned at line 135-139, a shallow copy or direct iteration would suffice. Deep copying can be expensive for large nested structures.

If performance becomes a concern, consider this change:

-        for step in copy.deepcopy(self.module_content["payloads"][index]["steps"]):
+        for step in self.module_content["payloads"][index]["steps"]:

This is safe because:

1. We're not modifying elements during iteration
2. The entire list is replaced after the loop completes
3. Individual step objects are only read, not mutated

📜 Review details

Configuration used: Path: .coderabbit.yaml

Review profile: CHILL

Plan: Pro

📥 Commits

Reviewing files that changed from the base of the PR and between e2b4d7c and f9d9ba7.

📒 Files selected for processing (1)

• nettacker/core/module.py (1 hunks)

🧰 Additional context used

📓 Path-based instructions (3)

**/*.py

📄 CodeRabbit inference engine (AGENTS.md)

**/*.py: Use 4-space indents in Python code
Limit lines to 99 characters (ruff/ruff-format/isort profile=black)
Module and file names should use lower_snake_case
Function and variable names should use lower_snake_case
Class names should use PascalCase
Constants should use UPPER_SNAKE_CASE
Keep functions small and add type hints where practical

Files:

• nettacker/core/module.py

nettacker/**/*.py

📄 CodeRabbit inference engine (AGENTS.md)

Add docstrings for public APIs in the nettacker package

Files:

• nettacker/core/module.py

nettacker/core/**

📄 CodeRabbit inference engine (AGENTS.md)

Place core libraries under nettacker/core/

Files:

• nettacker/core/module.py

🔇 Additional comments (2)

nettacker/core/module.py (2)

135-139: LGTM! Clear and maintainable step ordering.

The concatenation order is logical and well-structured:

1. Steps without dependencies execute first
2. Steps with temporary dependencies run next
3. Steps with normal dependencies complete the sequence

This provides a predictable execution flow that aligns with dependency resolution.

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122-133: Partition logic is safe; all payload steps are non-empty lists with a response field. Optional: replace copy.deepcopy(…) with a shallow copy (e.g. list(…)) in sort_loops to reduce overhead.

[securestep9]

thank you for your contribution @Davda-James 👍