⚡ Bolt: Parallelize folder deletion and optimize regex by abhimehro · Pull Request #149 · abhimehro/ctrld-sync

abhimehro · 2026-01-31T14:46:54Z

💡 What:
- Parallelized folder deletion in sync_profile using ThreadPoolExecutor (max 5 workers).
- Pre-compiled regex pattern in is_valid_rule.
🎯 Why:
- Deleting multiple folders sequentially is a bottleneck (latency * N). Parallel execution reduces this to ~latency.
- Pre-compiling regex avoids overhead in tight loops.
📊 Impact: Faster sync process, especially during the "clean slate" phase.
🔬 Measurement: Verified with test_sync_profile_parallel_deletion test case.

PR created automatically by Jules for task 4728167391881213641 started by @abhimehro

- Replaced sequential folder deletion loop with concurrent execution using `ThreadPoolExecutor` - Pre-compiled regex pattern for `is_valid_rule` - Added tests for parallel deletion and regex optimization Co-authored-by: abhimehro <84992105+abhimehro@users.noreply.github.com>

google-labs-jules · 2026-01-31T14:46:55Z

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trunk-io · 2026-01-31T14:46:57Z

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gemini-code-assist · 2026-01-31T14:47:07Z

Summary of Changes

Hello @abhimehro, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request introduces significant performance enhancements to the synchronization process. By parallelizing folder deletions, it transforms a sequential bottleneck into a more efficient concurrent operation. Additionally, it optimizes regex validation by pre-compiling the pattern, which reduces overhead in frequently called functions. These changes collectively aim to deliver a faster and more responsive sync experience, particularly during the initial setup or 'clean slate' phase.

Highlights

Parallel Folder Deletion: The sync_profile function now parallelizes folder deletion using a ThreadPoolExecutor with a maximum of 5 workers, significantly reducing the time taken for this operation.
Regex Optimization: The regular expression used in is_valid_rule is now pre-compiled into a global constant RULE_PATTERN, avoiding repeated compilation overhead for performance.
New Test Cases: Added new test cases (test_is_valid_rule_uses_regex and test_sync_profile_parallel_deletion) to verify the correct implementation and functionality of the regex optimization and parallel deletion.

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test_main.py

+# Case 14: is_valid_rule uses pre-compiled regex
+def test_is_valid_rule_uses_regex(monkeypatch):
+    m = reload_main_with_env(monkeypatch)
+    assert m.is_valid_rule("valid.rule") is True


test_main.py

+def test_is_valid_rule_uses_regex(monkeypatch):
+    m = reload_main_with_env(monkeypatch)
+    assert m.is_valid_rule("valid.rule") is True
+    assert m.is_valid_rule("invalid rule") is False


test_main.py

+    m = reload_main_with_env(monkeypatch)
+    assert m.is_valid_rule("valid.rule") is True
+    assert m.is_valid_rule("invalid rule") is False
+    assert m.is_valid_rule("invalid;rule") is False


test_main.py

+    assert m.is_valid_rule("invalid rule") is False
+    assert m.is_valid_rule("invalid;rule") is False
+    # Check that RULE_PATTERN is available
+    assert hasattr(m, "RULE_PATTERN")


test_main.py

+    assert m.is_valid_rule("invalid;rule") is False
+    # Check that RULE_PATTERN is available
+    assert hasattr(m, "RULE_PATTERN")
+    assert m.RULE_PATTERN.pattern == r"^[a-zA-Z0-9.\-_:*\/]+$"


test_main.py

+    m.sync_profile("pid", folder_urls, no_delete=False)
+
+    # Verification
+    assert mock_delete.call_count == 2


test_main.py

+            has_deletion_pool = True
+            break
+
+    assert (


test_main.py

+    monkeypatch.setattr(m, "delete_folder", mock_delete)
+
+    # Mock other calls to prevent errors
+    monkeypatch.setattr(m, "get_all_existing_rules", MagicMock(return_value=set()))


test_main.py

+
+    # Mock other calls to prevent errors
+    monkeypatch.setattr(m, "get_all_existing_rules", MagicMock(return_value=set()))
+    monkeypatch.setattr(m, "countdown_timer", MagicMock())


test_main.py

+    # Mock other calls to prevent errors
+    monkeypatch.setattr(m, "get_all_existing_rules", MagicMock(return_value=set()))
+    monkeypatch.setattr(m, "countdown_timer", MagicMock())
+    monkeypatch.setattr(m, "_process_single_folder", MagicMock(return_value=True))


test_main.py

+    monkeypatch.setattr(m, "countdown_timer", MagicMock())
+    monkeypatch.setattr(m, "_process_single_folder", MagicMock(return_value=True))
+
+    # Mock fetching


test_main.py

+    monkeypatch.setattr(m, "_process_single_folder", MagicMock(return_value=True))
+
+    # Mock fetching
+    mock_validate = MagicMock(return_value=True)


test_main.py

@@ -1,3 +1,4 @@
+import concurrent.futures


test_main.py

+    # Mock delete_folder to track calls
+    mock_delete = MagicMock(return_value=True)
+    monkeypatch.setattr(m, "delete_folder", mock_delete)
+


test_main.py

+    mock_validate.cache_clear = MagicMock()
+    monkeypatch.setattr(m, "validate_folder_url", mock_validate)
+
+    def fetch_side_effect(url):


test_main.py

+    # 2. Deletion (max_workers=5)
+    # 3. Processing (max_workers=1)
+
+    has_deletion_pool = False


test_main.py

@@ -1,3 +1,4 @@
+import concurrent.futures


test_main.py

+    # Mock delete_folder to track calls
+    mock_delete = MagicMock(return_value=True)
+    monkeypatch.setattr(m, "delete_folder", mock_delete)
+


test_main.py

+    mock_delete = MagicMock(return_value=True)
+    monkeypatch.setattr(m, "delete_folder", mock_delete)
+
+    # Mock other calls to prevent errors


test_main.py

+    mock_validate.cache_clear = MagicMock()
+    monkeypatch.setattr(m, "validate_folder_url", mock_validate)
+
+    def fetch_side_effect(url):


gemini-code-assist

Code Review

This pull request introduces two solid performance optimizations: pre-compiling a regular expression and parallelizing folder deletion. The changes are well-implemented and include corresponding tests, which is great to see. The pre-compilation of the regex in is_valid_rule is a standard and effective optimization. Parallelizing the I/O-bound deletion tasks using a ThreadPoolExecutor should significantly improve the performance of the sync process, especially for profiles with many folders. I have a couple of minor suggestions to improve maintainability by replacing hardcoded values with constants.

gemini-code-assist · 2026-01-31T14:49:10Z

main.py

+
+                if folders_to_delete:
+                    # Parallel delete to speed up the "clean slate" phase
+                    with concurrent.futures.ThreadPoolExecutor(max_workers=5) as delete_executor:


To improve maintainability and avoid magic numbers, it's best to define 5 as a constant at the top of the file (e.g., DELETE_WORKERS = 5 in the constants section) and use the constant here. This makes it easier to find and change in the future.

# In constants section DELETE_WORKERS = 5 # In sync_profile with concurrent.futures.ThreadPoolExecutor(max_workers=DELETE_WORKERS) as delete_executor:

gemini-code-assist · 2026-01-31T14:49:10Z

test_main.py

+
+    has_deletion_pool = False
+    for call_args in calls:
+        if call_args.kwargs.get("max_workers") == 5:


This assertion hardcodes the value 5, creating a tight coupling with the implementation. If the number of workers is extracted into a constant in main.py (as suggested in my other comment), this test should reference that constant to remain robust against future changes. For example:

if call_args.kwargs.get("max_workers") == m.DELETE_WORKERS:

Copilot

Pull request overview

This PR implements two performance optimizations to speed up the sync process: pre-compiling a regex pattern used in rule validation and parallelizing folder deletion during the "clean slate" phase.

Changes:

Pre-compiled the regex pattern used in is_valid_rule to avoid repeated compilation overhead in tight loops
Parallelized folder deletion in sync_profile using ThreadPoolExecutor with 5 workers to reduce latency during cleanup
Added tests to verify the regex pre-compilation and parallel deletion behavior

Reviewed changes

Copilot reviewed 2 out of 2 changed files in this pull request and generated 1 comment.

File	Description
main.py	Added pre-compiled RULE_PATTERN constant and updated is_valid_rule to use it; refactored folder deletion to use parallel execution with ThreadPoolExecutor
test_main.py	Added test_is_valid_rule_uses_regex to verify regex pre-compilation; added test_sync_profile_parallel_deletion to verify parallel folder deletion behavior

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Copilot · 2026-01-31T14:51:49Z

main.py

+
+                if folders_to_delete:
+                    # Parallel delete to speed up the "clean slate" phase
+                    with concurrent.futures.ThreadPoolExecutor(max_workers=5) as delete_executor:


Consider using max_workers=3 for DELETE operations instead of 5, consistent with POST operations which also modify state. Line 945 mentions "aggressive rate limits" for POST operations, and DELETE operations may face similar rate limiting. While GETs use 5 workers (line 682), that's because they're "usually cheaper" on rate limits. This would maintain the parallelization benefit while being more conservative about rate limits.

Suggested change

with concurrent.futures.ThreadPoolExecutor(max_workers=5) as delete_executor:

with concurrent.futures.ThreadPoolExecutor(max_workers=3) as delete_executor:

…itization, add dry-run plan details Incorporates the best changes from 36 Jules PRs, addressing review feedback: Bolt (Performance) - from PR #173: - Pre-compile PROFILE_ID_PATTERN and RULE_PATTERN at module level - Use compiled patterns in is_valid_profile_id_format, validate_profile_id, and is_valid_rule - Supersedes PRs: #140, #143, #152, #155, #158, #161, #167, #170, #173 Sentinel (Security) - from PR #172 with review feedback: - Enhance sanitize_for_log to redact Basic Auth credentials in URLs - Redact sensitive query parameters (token, key, secret, password, etc.) - Handle fragment separators (#) per Gemini Code Assist review - Use [^&#\s]* pattern per Copilot reviewer suggestion - Update docstring per reviewer suggestion - Supersedes PRs: #142, #145, #148, #151, #154, #157, #160, #169, #172 Palette (UX) - from PR #174 with lint fixes: - Add print_plan_details function for dry-run visibility - Fix duplicate render_progress_bar definition bug - Supersedes PRs: #139, #141, #144, #147, #150, #153, #156, #159, #162, #165, #168, #171, #174 Also: #146, #149, #164 (parallel folder deletion) and #166 (auto-fix .env perms) are independent features not consolidated here. Co-authored-by: abhimehro <84992105+abhimehro@users.noreply.github.com>

- Parallelize folder deletion using ThreadPoolExecutor with 3 workers - Use conservative worker count (3) instead of 5 to respect API rate limits - Add DELETE_WORKERS constant for easy configuration - Sanitize both folder names and exceptions in error logging to prevent log injection - Use lazy % formatting for logging (best practice) - Rename exception variable from 'e' to 'exc' for clarity - Add comprehensive test coverage for parallel deletion Addresses feedback from PRs #146, #149 Co-authored-by: abhimehro <84992105+abhimehro@users.noreply.github.com>

Copilot AI review requested due to automatic review settings January 31, 2026 14:46

github-actions bot added the python label Jan 31, 2026

Copilot started reviewing on behalf of abhimehro January 31, 2026 14:47 View session

github-advanced-security bot found potential problems Jan 31, 2026

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Copilot AI mentioned this pull request Feb 8, 2026

Consolidate 36 Jules PRs: pre-compile regex, harden log sanitization, add dry-run plan details #175

Merged

Copilot AI mentioned this pull request Feb 9, 2026

Consolidate parallel deletion, RTLO prevention, and .env auto-fix from PRs #146, #149, #163, #164, #166 #176

Merged

Copilot AI mentioned this pull request Feb 9, 2026

Combine API access check and folder listing into single request; close stale Jules PRs #178

Merged

abhimehro closed this Feb 9, 2026

abhimehro deleted the bolt/parallel-deletion-4728167391881213641 branch February 9, 2026 02:17

	with concurrent.futures.ThreadPoolExecutor(max_workers=5) as delete_executor:
	with concurrent.futures.ThreadPoolExecutor(max_workers=3) as delete_executor:

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