⚡ Bolt: Parallelize folder data fetching#3
⚡ Bolt: Parallelize folder data fetching#3google-labs-jules[bot] wants to merge 11 commits intomainfrom
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- Use ThreadPoolExecutor to fetch folder data concurrently - Reduces startup time significantly by parallelizing network I/O - Fix SyntaxError in create_folder where positional arg followed keyword arg
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Pull request overview
This PR improves application startup performance by parallelizing the fetching of ~23 external JSON files. It also fixes a SyntaxError where the client parameter was incorrectly positioned in the create_folder function call.
Key Changes:
- Replaced sequential folder data fetching with parallel execution using
ThreadPoolExecutor - Fixed parameter ordering in
_api_postcall withincreate_folder - Refactored error handling from a try-continue pattern to a return-None pattern for better compatibility with parallel execution
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| def safe_fetch(url): | ||
| try: | ||
| folder_data_list.append(fetch_folder_data(url)) | ||
| return fetch_folder_data(url) | ||
| except (httpx.HTTPError, KeyError) as e: | ||
| log.error(f"Failed to fetch folder data from {url}: {e}") | ||
| continue | ||
| return None |
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The safe_fetch function is accessing shared mutable state (_cache dictionary) from multiple threads without synchronization. The _gh_get function called by fetch_folder_data performs a check-then-act operation on the cache that is not thread-safe. Multiple threads could simultaneously check if a URL is in the cache, both find it's missing, and then both attempt to fetch and store it, potentially causing race conditions or inconsistent state. Consider adding a lock around the cache access in _gh_get or using a thread-safe caching mechanism like functools.lru_cache with appropriate thread safety guarantees.
| def safe_fetch(url): | ||
| try: | ||
| folder_data_list.append(fetch_folder_data(url)) | ||
| return fetch_folder_data(url) | ||
| except (httpx.HTTPError, KeyError) as e: | ||
| log.error(f"Failed to fetch folder data from {url}: {e}") | ||
| continue | ||
| return None |
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The global _gh httpx.Client instance (line 92) is being accessed concurrently from multiple threads without consideration for thread safety. While httpx.Client connections can be reused, concurrent access to the same client instance from multiple threads can lead to connection pool contention and potential race conditions. Consider creating separate httpx.Client instances per thread, or verify that the httpx version being used provides thread-safe client instances.
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
…URLs Co-authored-by: abhimehro <84992105+abhimehro@users.noreply.github.com>
Co-authored-by: abhimehro <84992105+abhimehro@users.noreply.github.com>
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
abhimehro
deleted the
bolt/parallel-folder-fetch-14343259974739206667
branch
⚡ Bolt: Parallelize folder data fetching
💡 What:
Replaced sequential fetching of folder JSON data with parallel fetching using
concurrent.futures.ThreadPoolExecutor. Also fixed a SyntaxError increate_folder.🎯 Why:
The application was fetching ~23 external JSON files sequentially during startup. This caused a significant delay (2.3s in benchmark) which scales linearly with the number of folders.
📊 Impact:
🔬 Measurement:
Run
uv run python main.py --dry-runand observe the speed of "DRY-RUN plan" output. A benchmark script was also used to verify.PR created automatically by Jules for task 14343259974739206667 started by @abhimehro