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- Refactored folder deletion logic into `delete_existing_folders_parallel` - Uses `ThreadPoolExecutor` (max 5 workers) to delete folders concurrently - Updates local `existing_folders` state in-place to ensure consistency - Added `tests/test_parallel_delete.py` to verify speedup and correctness This optimization reduces the time taken to clean up existing folders before re-syncing, especially when many folders need to be deleted. Co-authored-by: abhimehro <84992105+abhimehro@users.noreply.github.com>
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| # Assertions | ||
| assert result is True |
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| # Check that the 10 folders were deleted | ||
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| assert f"Folder {i}" not in existing_folders |
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| assert f"Folder {i}" not in existing_folders | ||
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| # Check that "Keep Me" is still there | ||
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| # Check that "Keep Me" is still there | ||
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| assert existing_folders["Keep Me"] == "id_keep" |
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| assert existing_folders["Keep Me"] == "id_keep" | ||
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| # Check that "New Folder" is not in existing_folders (it wasn't there to begin with) | ||
| assert "New Folder" not in existing_folders |
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| client, profile_id, folder_data_list, existing_folders | ||
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| client, profile_id, folder_data_list, existing_folders | ||
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| assert result is True # At least one succeeded |
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| name = f"Folder {i}" | ||
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| # Odd: Succeeded, should be removed | ||
| assert name not in existing_folders |
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| assert name not in existing_folders | ||
| else: | ||
| # Even: Failed, should remain | ||
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| duration = end_time - start_time | ||
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| # Assertions | ||
| assert result is True |
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| # Check that the 10 folders were deleted | ||
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| assert f"Folder {i}" not in existing_folders | ||
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| # Check that "Keep Me" is still there | ||
| assert "Keep Me" in existing_folders |
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| # Check that "Keep Me" is still there | ||
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| assert existing_folders["Keep Me"] == "id_keep" |
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| assert existing_folders["Keep Me"] == "id_keep" | ||
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| # Check that "New Folder" is not in existing_folders (it wasn't there to begin with) | ||
| assert "New Folder" not in existing_folders |
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| client, profile_id, folder_data_list, existing_folders | ||
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| assert result is False |
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| assert result is True # At least one succeeded |
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| name = f"Folder {i}" | ||
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| # Odd: Succeeded, should be removed | ||
| assert name not in existing_folders |
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| assert name not in existing_folders | ||
| else: | ||
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| assert name in existing_folders |
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| def sync_profile( | ||
| profile_id: str, |
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| del existing_folders[name] | ||
| deletion_occurred = True | ||
| deletion_occurred = delete_existing_folders_parallel( | ||
| client, profile_id, folder_data_list, existing_folders |
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| import concurrent.futures | |||
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| import concurrent.futures | ||
| import time | ||
| from unittest.mock import MagicMock | ||
| import pytest |
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| # All these folders exist in existing_folders | ||
| existing_folders = {f"Folder {i}": f"id_{i}" for i in range(10)} | ||
| original_len = len(existing_folders) |
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| # Verify mock calls | ||
| assert mock_delete.call_count == 10 | ||
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| def test_delete_existing_folders_parallel_no_deletions(monkeypatch): |
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| # Mock delete_folder: Fail for even numbers | ||
| mock_delete = MagicMock() | ||
| def conditional_delete(client, profile_id, name, folder_id): |
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| # Mock delete_folder: Fail for even numbers | ||
| mock_delete = MagicMock() | ||
| def conditional_delete(client, profile_id, name, folder_id): |
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| # Mock delete_folder: Fail for even numbers | ||
| mock_delete = MagicMock() | ||
| def conditional_delete(client, profile_id, name, folder_id): |
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| with concurrent.futures.ThreadPoolExecutor(max_workers=5) as executor: | ||
| future_to_name = { | ||
| executor.submit(delete_folder, client, profile_id, name, fid): name | ||
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| executor.submit(delete_folder, client, profile_id, name, fid): name | ||
| for name, fid in folders_to_delete | ||
| } | ||
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| # Mock delete_folder: Fail for even numbers | ||
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| def conditional_delete(client, profile_id, name, folder_id): |
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| # Mock delete_folder to simulate network delay | ||
| # Each deletion takes 0.1s | ||
| mock_delete = MagicMock() | ||
| def slow_delete(client, profile_id, name, folder_id): |
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| # Mock delete_folder to simulate network delay | ||
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| def slow_delete(client, profile_id, name, folder_id): |
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| import concurrent.futures | ||
| import time | ||
| from unittest.mock import MagicMock | ||
| import pytest |
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| for folder_data in folder_data_list: | ||
| name = folder_data["group"]["group"].strip() |
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main.py
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| from unittest.mock import MagicMock | ||
| import pytest |
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| import pytest |
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| # Verify mock calls | ||
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| def test_delete_existing_folders_parallel_no_deletions(monkeypatch): |
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| # Mock delete_folder: Fail for even numbers | ||
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| # Mock delete_folder: Fail for even numbers | ||
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| # Mock delete_folder: Fail for even numbers | ||
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Pull request overview
This PR parallelizes folder deletion to improve performance by replacing sequential deletion with a ThreadPoolExecutor-based implementation using 5 workers. The change reduces folder deletion time from O(sum of latencies) to O(max latency / workers), potentially achieving up to 5x speedup for scenarios with many folders.
Changes:
- Added
delete_existing_folders_parallel()function that uses ThreadPoolExecutor with 5 workers to delete folders concurrently - Replaced sequential folder deletion loop in
sync_profile()with a call to the new parallel implementation - Added comprehensive test suite with 3 test cases covering happy path, no-match scenario, and partial failure handling
Reviewed changes
Copilot reviewed 2 out of 2 changed files in this pull request and generated 5 comments.
| File | Description |
|---|---|
| main.py | Implements parallel folder deletion function and integrates it into sync_profile workflow |
| tests/test_parallel_delete.py | Adds comprehensive tests validating parallel execution, correctness, and partial failure handling |
💡 Add Copilot custom instructions for smarter, more guided reviews. Learn how to get started.
| @@ -0,0 +1,124 @@ | |||
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| import concurrent.futures | |||
There was a problem hiding this comment.
The import of concurrent.futures is unused in this test file. It should be removed to keep the imports clean.
| import concurrent.futures |
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| # All these folders exist in existing_folders | ||
| existing_folders = {f"Folder {i}": f"id_{i}" for i in range(10)} | ||
| original_len = len(existing_folders) |
There was a problem hiding this comment.
The variable original_len is assigned but never used. Consider removing it or using it in an assertion to verify the test setup.
| # 10 tasks * 0.1s = 1.0s sequential time. | ||
| # With 5 workers, it should take roughly 0.2s + overhead. | ||
| # We assert it takes < 0.6s to be safe but prove parallelism. | ||
| assert duration < 0.6, f"Execution took {duration}s, expected < 0.6s (parallel)" |
There was a problem hiding this comment.
The timing assertion could be flaky on slower systems or under heavy load. Consider either increasing the threshold (e.g., to 0.8s or 1.0s) or using a more flexible assertion that checks if the parallel version is faster than sequential without relying on absolute time, such as comparing the duration to the theoretical sequential time with a tolerance factor.
| # Using 5 workers to be safe with rate limits for write operations | ||
| with concurrent.futures.ThreadPoolExecutor(max_workers=5) as executor: | ||
| future_to_name = { | ||
| executor.submit(delete_folder, client, profile_id, name, fid): name |
There was a problem hiding this comment.
The httpx.Client instance is being shared across multiple threads (5 workers). According to httpx documentation, Client instances are not thread-safe and should not be shared across threads without synchronization. While this pattern exists elsewhere in the codebase (e.g., in get_all_existing_rules), the concurrent modifications to the client's connection pool could lead to race conditions. Consider using a lock around client operations, creating a separate client instance in each thread, or using a thread-safe connection pool pattern.
| # Using 5 workers to be safe with rate limits for write operations | |
| with concurrent.futures.ThreadPoolExecutor(max_workers=5) as executor: | |
| future_to_name = { | |
| executor.submit(delete_folder, client, profile_id, name, fid): name | |
| # Protect shared httpx.Client instance when used across multiple threads. | |
| client_lock = threading.Lock() | |
| def _threadsafe_delete_folder(profile_id_arg: str, name_arg: str, fid_arg: str) -> bool: | |
| """ | |
| Wrapper around delete_folder that serializes access to the shared client. | |
| """ | |
| with client_lock: | |
| return delete_folder(client, profile_id_arg, name_arg, fid_arg) | |
| # Using 5 workers to be safe with rate limits for write operations | |
| with concurrent.futures.ThreadPoolExecutor(max_workers=5) as executor: | |
| future_to_name = { | |
| executor.submit(_threadsafe_delete_folder, profile_id, name, fid): name |
| import concurrent.futures | ||
| import time | ||
| from unittest.mock import MagicMock | ||
| import pytest |
There was a problem hiding this comment.
Import of 'pytest' is not used.
| import pytest |
…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>
…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>
⚡ Bolt: Parallelize folder deletion
💡 What:
Replaced sequential folder deletion loop with a parallel implementation using
ThreadPoolExecutor(5 workers).🎯 Why:
Deleting folders is a blocking I/O operation. Doing it sequentially for many folders (e.g. 20+) adds significant latency. Parallelizing it reduces this phase's duration from
sum(latency)tomax(latency) / workers.📊 Impact:
tests/test_parallel_delete.pyshowing significant speedup over sequential mock.🔬 Measurement:
Run
pytest tests/test_parallel_delete.py.PR created automatically by Jules for task 7500484463374288460 started by @abhimehro