feat: RAG Layered Optimization #448
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Summary of ChangesHello @jorschac, 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 a significant overhaul to the wiki page generation system, focusing on improving the quality, efficiency, and robustness of the process. By adopting a layered RAG approach, modularizing the codebase, and enabling parallel generation, the system can now produce more comprehensive and contextually rich wiki content faster. The changes also enhance error handling and resource management, making the generation process more reliable and maintainable. Highlights
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Code Review
This pull request introduces a significant and well-structured refactoring of the wiki page generation logic, moving it into modular components with a layered RAG query strategy. The use of dependency injection, context managers for resource management, and dedicated modules for validation and exceptions are excellent architectural choices that improve maintainability and testability. My review focuses on enhancing robustness, configurability, and code clarity. Key suggestions include removing hardcoded model parameters, improving error handling with more specific exception catches, simplifying complex resource cleanup logic, and increasing code consistency. Overall, this is a strong contribution, and the suggested changes aim to further polish the implementation.
| "model_name": "gpt-4.1", | ||
| "temperature": 0.2, | ||
| "max_tokens": 65535 |
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The model_name and max_tokens are hardcoded. This reduces flexibility and requires code changes to use a different model or adjust token limits. These values should be configurable, for example by adding them to the WikiPageGenerationRequest model or loading them from a configuration file. This would allow callers to specify the desired model and parameters.
| except: | ||
| pass |
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Using a bare except is discouraged as it can suppress all errors, including system-exiting ones like SystemExit or KeyboardInterrupt, making debugging difficult. It's better to catch a specific exception, such as Exception, and log the error to provide visibility into what went wrong during the error handling process.
| except: | |
| pass | |
| except Exception as send_error: | |
| logger.warning(f"Failed to send final error to websocket: {send_error}") |
| prompt = f"""Generate comprehensive wiki page content for "{page['title']}" in the repository {request.repo_url}. | ||
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| This page should focus on the following files: | ||
| {chr(10).join(f"- {path}" for path in page.get('filePaths', []))} |
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Using chr(10) for a newline character is less common and less readable than the standard \n escape sequence. For better code clarity and adherence to Python conventions, it's recommended to use \n.
| {chr(10).join(f"- {path}" for path in page.get('filePaths', []))} | |
| {'\n'.join(f"- {path}" for path in page.get('filePaths', []))} |
| if 'results' in locals() and results: | ||
| logger.warning(f"Partial failure in parallel generation. Processing {len(results)} results despite error: {str(e)}") | ||
| return results |
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Checking for a local variable's existence using 'results' in locals() is fragile and not a standard practice. A more robust and readable approach is to initialize results to None at the beginning of the try block (e.g., on line 354) and then simply check if results: in the except block. This makes the code's intent clearer and avoids relying on the locals() dictionary.
| if 'results' in locals() and results: | |
| logger.warning(f"Partial failure in parallel generation. Processing {len(results)} results despite error: {str(e)}") | |
| return results | |
| if results: | |
| logger.warning(f"Partial failure in parallel generation. Processing {len(results)} results despite error: {str(e)}") | |
| return results |
| logger.info(f" - Total requested: {total_requested}") | ||
| logger.info(f" - Successfully generated: {total_successful}") | ||
| logger.info(f" - Failed: {total_failed}") | ||
| logger.info(f" - Success rate: {total_successful/total_requested*100:.1f}%") |
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There is a potential for a ZeroDivisionError here if total_requested is 0. Although other checks in the code make this scenario unlikely, it's a good practice to guard against division by zero to make the code more robust. A similar issue exists on line 638. You could handle this with a conditional check, for example: success_rate_str = f'{(total_successful/total_requested*100):.1f}%' if total_requested > 0 else 'N/A'.
| "message": f"正在重试 {total_failed} 个失败页面..." | ||
| })) | ||
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| await asyncio.sleep(5) |
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This hardcoded sleep(5) is a "magic number". Its purpose isn't immediately clear from the code. To improve maintainability, it's best to add a comment explaining why the delay is necessary (e.g., to avoid hitting API rate limits).
| await asyncio.sleep(5) | |
| # Wait for a few seconds before retrying to avoid hitting API rate limits. | |
| await asyncio.sleep(5) |
| if hasattr(self.rag, 'cleanup'): | ||
| if hasattr(self.rag.cleanup, '__call__'): | ||
| # Check if it's an async method | ||
| if hasattr(self.rag.cleanup, '__code__'): | ||
| import inspect | ||
| if inspect.iscoroutinefunction(self.rag.cleanup): | ||
| await self.rag.cleanup() | ||
| else: | ||
| self.rag.cleanup() | ||
| else: | ||
| await self.rag.cleanup() |
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The logic to determine if self.rag.cleanup is an awaitable coroutine is overly complex and contains a potential bug. The else block on line 42 unconditionally awaits self.rag.cleanup, which will raise a TypeError if it's a regular synchronous function that doesn't have a __code__ attribute. A simpler and more reliable approach is to use inspect.iscoroutinefunction to check if the method is async.
if hasattr(self.rag, 'cleanup') and callable(self.rag.cleanup):
import inspect
if inspect.iscoroutinefunction(self.rag.cleanup):
await self.rag.cleanup()
else:
self.rag.cleanup()| """验证 wiki 结构的有效性""" | ||
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| @staticmethod | ||
| def validate_wiki_structure(structure: Dict[str, Any]) -> None: | ||
| """ | ||
| 验证 wiki 结构，失败时抛出 ValidationError | ||
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| Args: | ||
| structure: Wiki 结构字典 | ||
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| Raises: | ||
| ValidationError: 如果结构无效 | ||
| """ |
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The docstrings in this file are in Chinese, while the file-level docstring and the rest of the codebase are in English. To maintain consistency and improve readability for all contributors, it's best to use a single language throughout the project. Please consider translating these docstrings to English.
class WikiStructureValidator:
"""Validates the wiki structure.
Ensures that the input wiki structure conforms to the required format
before processing begins.
"""
@staticmethod
def validate_wiki_structure(structure: Dict[str, Any]) -> None:
"""
Validates the wiki structure, raising a ValidationError on failure.
Args:
structure: The wiki structure dictionary.
Raises:
ValidationError: If the structure is invalid.
"""| else: | ||
| print(f"⚠️ Warning: .env file not found at {env_path}") | ||
| print(" Please create a .env file with OPENAI_API_KEYS and OPENAI_BASE_URL") | ||
| sys.exit(1) |
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Using sys.exit(1) when a .env file is not found is too aggressive for a test suite. This will halt the entire test run, preventing other tests that might not depend on environment variables from executing. It's better to print a warning and allow the specific tests that require these variables to fail gracefully. This makes the test suite more resilient and provides more complete feedback.
| else: | |
| print(f"⚠️ Warning: .env file not found at {env_path}") | |
| print(" Please create a .env file with OPENAI_API_KEYS and OPENAI_BASE_URL") | |
| sys.exit(1) | |
| else: | |
| print(f"⚠️ Warning: .env file not found at {env_path}") | |
| print(" Please create a .env file with OPENAI_API_KEYS and OPENAI_BASE_URL for integration tests.") |
1 participant
Description
Implemented layered RAG query strategy for wiki page generation as mentioned in #447. Refactored wiki generation logic from
api/websocket_wiki.pyinto modular components with improved error handling and resource management.Files Changed:
api/tools/rag_layers.py,api/tools/wiki_exceptions.py,api/tools/wiki_validator.py,api/tools/wiki_resources.pyapi/websocket_wiki.pytests/unit/test_wiki_generator.pyType of Change
Testing
Checklist