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⚡ Bolt: Optimize psutil process scans by lazily evaluating expensive properties#17

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⚡ Bolt: Optimize psutil process scans by lazily evaluating expensive properties#17
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@inherent-vice inherent-vice commented May 18, 2026

💡 What: Updated psutil.process_iter() usage in ExcelDesktopService._get_excel_process_snapshots and ExcelSessionGuard._default_processes. Instead of querying ["pid", "name", "memory_info", "status"] for every system process, it now only queries ["pid", "name"] initially. The expensive memory_info() and status() properties are then fetched only for actual "excel.exe" processes.

🎯 Why: Querying full memory_info for all system processes causes significant overhead because the OS has to evaluate the memory details of hundreds of unneeded processes.

📊 Impact: Reduces system overhead drastically during process scans. Scanning lightweight processes only drops overhead from evaluating ~200+ processes to just the active Excel ones (typically 1-5).

🔬 Measurement: Verify by reviewing process query times or utilizing profiling traces on get_running_instances to see decreased latency during refreshes.


PR created automatically by Jules for task 14323550085384020067 started by @agno7766

Summary by CodeRabbit

  • Bug Fixes

    • Improved compatibility on non-Windows platforms by properly handling and mocking Windows-specific module dependencies during test bootstrap.
  • Refactor

    • Process scanning logic has been optimized to retrieve only essential lightweight information initially, then lazily load expensive attributes only for targeted processes when needed, reducing system overhead and improving application responsiveness during startup and operation.

Review Change Stack

Co-authored-by: agno7766 <125467265+agno7766@users.noreply.github.com>
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coderabbitai Bot commented May 18, 2026

📝 Walkthrough

Walkthrough

This PR optimizes process scanning in two desktop services by deferring expensive psutil attribute lookups. Both ExcelDesktopService and ExcelSessionGuard now fetch only lightweight pid and name fields initially, then lazily retrieve memory_info and status per-process with exception handling. Test bootstrap is refactored to mock Windows modules for cross-platform compatibility.

Changes

Desktop process scanning optimization

Layer / File(s) Summary
Test bootstrap environment setup
conftest.py
Pytest bootstrap removed sys.path insertion and added conditional mocking of Windows-specific modules (pythoncom, win32com, pywintypes, win32*, ctypes.windll) via MagicMock for non-Windows platforms.
Excel service process optimization
desktop_services/excel_service.py, tests/test_excel_desktop_service.py
_get_excel_process_snapshots now queries only pid and name in the initial psutil.process_iter call, then lazily fetches memory_info() and proc.status() per-process with exception handling, defaulting to 0.0 and "running" on failures. Test assertion updated to match the reduced field request.
Operations cockpit service optimization
desktop_services/operations_cockpit_service.py
ExcelSessionGuard._default_processes applies the same lazy-loading pattern: iterates only lightweight fields, filters for excel.exe early, then fetches expensive attributes on-demand with per-process exception handling.
Optimization strategy documentation
.jules/bolt.md
Dated entry documents the optimization strategy: query lightweight process fields initially, then defer expensive attribute lookups until needed inside targeted loop iterations.

🎯 2 (Simple) | ⏱️ ~12 minutes

🐰 A process once stuttered and stalled,
Fetching all fields as it crawled;
Now lazy and fleet,
Light attributes so sweet,
Expensive lookups postponed, neatly called.

🚥 Pre-merge checks | ✅ 4 | ❌ 1

❌ Failed checks (1 warning)

Check name Status Explanation Resolution
Docstring Coverage ⚠️ Warning Docstring coverage is 33.33% which is insufficient. The required threshold is 80.00%. Write docstrings for the functions missing them to satisfy the coverage threshold.
✅ Passed checks (4 passed)
Check name Status Explanation
Description Check ✅ Passed Check skipped - CodeRabbit’s high-level summary is enabled.
Title check ✅ Passed The title directly and clearly summarizes the main optimization: moving from eager to lazy evaluation of expensive psutil properties. The emoji and 'Bolt' reference align with the documentation context. It accurately represents the primary change across all modified files.
Linked Issues check ✅ Passed Check skipped because no linked issues were found for this pull request.
Out of Scope Changes check ✅ Passed Check skipped because no linked issues were found for this pull request.

✏️ Tip: You can configure your own custom pre-merge checks in the settings.

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  • Commit unit tests in branch bolt-optimize-psutil-iter-14323550085384020067

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Actionable comments posted: 2

🤖 Prompt for all review comments with AI agents
Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.

Inline comments:
In @.jules/bolt.md:
- Line 1: Update the changelog header "## 2024-05-18 - [Optimize
psutil.process_iter scans]" to use the PR creation year 2026 by changing it to
"## 2026-05-18 - [Optimize psutil.process_iter scans]" so the entry date matches
the PR; edit the header line in .jules/bolt.md (the markdown heading string
shown in the diff) to reflect the corrected year.

In `@conftest.py`:
- Line 13: The test setup currently injects a MagicMock into
sys.modules['ctypes.windll'] which doesn't cover attribute access patterns like
import ctypes; ctypes.windll.*; update the mock so that when sys.platform !=
'win32' you import ctypes and assign a MagicMock to the ctypes.windll attribute
(i.e., replace the sys.modules assignment with setting ctypes.windll =
MagicMock()), ensuring code that does ctypes.windll.<name> will be intercepted;
keep the platform check and use the existing MagicMock instance name.
🪄 Autofix (Beta)

Fix all unresolved CodeRabbit comments on this PR:

  • Push a commit to this branch (recommended)
  • Create a new PR with the fixes

ℹ️ Review info
⚙️ Run configuration

Configuration used: defaults

Review profile: CHILL

Plan: Pro

Run ID: 61628e6e-1256-4baf-908a-dd791c52b62f

📥 Commits

Reviewing files that changed from the base of the PR and between 03bd905 and 1c7764d.

📒 Files selected for processing (5)
  • .jules/bolt.md
  • conftest.py
  • desktop_services/excel_service.py
  • desktop_services/operations_cockpit_service.py
  • tests/test_excel_desktop_service.py

Comment thread .jules/bolt.md
@@ -0,0 +1,3 @@
## 2024-05-18 - [Optimize psutil.process_iter scans]
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⚠️ Potential issue | 🟡 Minor | ⚡ Quick win

Correct the date to match the PR creation date.

The documentation entry is dated "2024-05-18" but this PR was created on 2026-05-18. The year should be 2026 to accurately reflect when this optimization was implemented.

📅 Proposed fix for the date
-## 2024-05-18 - [Optimize psutil.process_iter scans]
+## 2026-05-18 - [Optimize psutil.process_iter scans]
📝 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
## 2024-05-18 - [Optimize psutil.process_iter scans]
## 2026-05-18 - [Optimize psutil.process_iter scans]
🤖 Prompt for AI Agents
Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.

In @.jules/bolt.md at line 1, Update the changelog header "## 2024-05-18 -
[Optimize psutil.process_iter scans]" to use the PR creation year 2026 by
changing it to "## 2026-05-18 - [Optimize psutil.process_iter scans]" so the
entry date matches the PR; edit the header line in .jules/bolt.md (the markdown
heading string shown in the diff) to reflect the corrected year.

Comment thread conftest.py
sys.modules['pywintypes'] = MagicMock()
sys.modules['win32api'] = MagicMock()
sys.modules['win32con'] = MagicMock()
sys.modules['ctypes.windll'] = MagicMock()
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⚠️ Potential issue | 🟠 Major | ⚡ Quick win

🧩 Analysis chain

🏁 Script executed:

#!/bin/bash
# Description: Check how ctypes.windll is imported and used in desktop services

# Search for ctypes imports and usage patterns
rg -n -C3 --type=py 'ctypes\.windll|from ctypes import windll|import ctypes\.windll' desktop_services/

Repository: inherent-vice/WindowManager

Length of output: 5482


Fix ctypes.windll mocking to intercept attribute access, not just module imports.

The current sys.modules['ctypes.windll'] = MagicMock() approach only intercepts import ctypes.windll statements. However, the codebase uses the pattern import ctypes; ctypes.windll.XXX (e.g., ctypes.windll.shell32.ShellExecuteW), which accesses windll as an attribute on the imported ctypes module object. This mocking won't prevent an AttributeError on non-Windows platforms where the windll attribute doesn't exist.

Replace with:

if sys.platform != 'win32':
    import ctypes
    ctypes.windll = MagicMock()
🤖 Prompt for AI Agents
Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.

In `@conftest.py` at line 13, The test setup currently injects a MagicMock into
sys.modules['ctypes.windll'] which doesn't cover attribute access patterns like
import ctypes; ctypes.windll.*; update the mock so that when sys.platform !=
'win32' you import ctypes and assign a MagicMock to the ctypes.windll attribute
(i.e., replace the sys.modules assignment with setting ctypes.windll =
MagicMock()), ensuring code that does ctypes.windll.<name> will be intercepted;
keep the platform check and use the existing MagicMock instance name.

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Reviewed commit: 1c7764dab7

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Comment thread conftest.py
sys.modules['win32com.client'] = MagicMock()
sys.modules['win32gui'] = MagicMock()
sys.modules['win32process'] = MagicMock()
sys.modules['pywintypes'] = MagicMock()
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P2 Badge Provide a real com_error in the pywintypes stub

On non-Windows pytest runs this replaces pywintypes with a bare MagicMock, so from pywintypes import com_error yields another mock rather than an exception class. The Excel COM tests and excel_instance_manager use com_error(...) as an exception and catch it in except com_error; with this stub, side_effect is treated as a callable instead of raising, and any real exception through those handlers becomes TypeError: catching classes that do not inherit from BaseException is not allowed. The stub should expose a real Exception subclass for com_error instead of a generic mock.

Useful? React with 👍 / 👎.

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