feat:front page V2.0 #318
feat:front page V2.0 #318
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Summary of ChangesHello @tenwanft, 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 how evaluation data, stored in '.jsonl' files, is loaded, processed, and displayed on the frontend. The changes enable the application to recursively traverse directories to discover and ingest '.jsonl' data, enriching each record with its originating file path. This new data handling pipeline supports a more dynamic and flexible user interface, allowing for filtering by file path and presenting data in a dynamically generated table structure. The pie chart visualization has also been enhanced with a selection mechanism to explore different data dimensions. These updates collectively contribute to a more robust and adaptable 'front page V2.0' for data analysis. Highlights
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Code Review
This pull request introduces a significant refactoring to support a more flexible, nested data structure for .jsonl files, moving away from a rigid two-level hierarchy. The changes span both the Electron backend, with new recursive file traversal logic, and the frontend, which now features dynamic table columns and refactored data visualizations to handle the arbitrary data structure. Overall, the implementation is solid. My review focuses on enhancing type safety in TypeScript to prevent potential runtime errors, improving maintainability by removing hardcoded values, and adhering to best practices in both React and Python.
| ? value.slice(0, 10000) | ||
| : '-' | ||
| } | ||
| highlight={record.reason_list || ''} |
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The highlight prop is passed record.reason_list || ''. Since DataItem is of type any, there's no guarantee that record.reason_list will be an array if it exists. This could lead to runtime errors inside the HighlightText component if it doesn't handle non-array values gracefully. It's safer to ensure that an array is always passed.
| highlight={record.reason_list || ''} | |
| highlight={Array.isArray(record.reason_list) ? record.reason_list : []} |
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| // 安全获取 type_ratio，支持 content 属性或直接使用 type_ratio | ||
| // eslint-disable-next-line @typescript-eslint/no-explicit-any | ||
| const typeRatioData = (data.type_ratio as any)?.content || data.type_ratio || {}; |
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The use of as any to access (data.type_ratio as any)?.content indicates that the SummaryData type definition is out of sync with the actual data structure. Bypassing the type system reduces code safety and maintainability. It would be best to update the SummaryData interface to accurately reflect the nested structure of type_ratio. This will provide better autocompletion and compile-time checks, preventing potential runtime errors.
| } else if ( | ||
| item.isFile() && | ||
| item.name.endsWith('.jsonl') && | ||
| item.name !== 'summary.json' |
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The filename summary.json is hardcoded. This value is also hardcoded in dingo/run/vsl.py. To improve maintainability and prevent inconsistencies, it's better to define this as a constant at the top of the file.
| type_list: string[]; | ||
| name_list: string[]; | ||
| reason_list: (string | string[])[]; | ||
| [key: string]: any; // eslint-disable-line @typescript-eslint/no-explicit-any |
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The DataItem interface has been changed to [key: string]: any;. While this enables flexibility for dynamic columns, it sacrifices TypeScript's type safety, making the code harder to maintain and more prone to runtime errors. Consider defining an interface with known properties (like _filePath and reason_list) and using an index signature for the remaining dynamic properties. For example:
interface DataItem {
_filePath: string;
reason_list?: (string | string[])[];
[key: string]: any;
}| rowKey={(record, index) => { | ||
| return `${record?._filePath}_${index}`; | ||
| }} |
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Using the index as part of the key for list items in React is generally discouraged, as it can lead to bugs with component state if the list is reordered. It's better to use a unique and stable identifier from the data itself. If items have a unique ID (like data_id in the previous version), that should be preferred.
| rowKey={(record, index) => { | |
| return `${record?._filePath}_${index}`; | |
| }} | |
| rowKey={(record, index) => { | |
| return record.data_id || `${record?._filePath}_${index}`; | |
| }} |
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| const data = await this[dataType](params); | ||
| // eslint-disable-next-line @typescript-eslint/no-explicit-any | ||
| const data = await (this as any)[dataType](params); |
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Using (this as any)[dataType](params) bypasses TypeScript's type safety to dynamically call a method. This pattern is also used in WebDAL (line 240). While it avoids a large switch statement, it's prone to runtime errors if dataType is not a valid method name. Consider a more type-safe approach, like a method map, to ensure correctness at compile time.
| ): Promise<any> { | ||
| return this[dataType](params); | ||
| // eslint-disable-next-line @typescript-eslint/no-explicit-any | ||
| return (this as any)[dataType](params); |
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Using (this as any)[dataType](params) bypasses TypeScript's type safety for dynamic method calls, similar to its use in ElectronDAL. This can lead to runtime errors. For improved safety and maintainability, it's recommended to use a more type-safe pattern, such as a map that links data types to their corresponding methods.
| if os.path.isdir(item_path): | ||
| # 递归遍历子目录 | ||
| traverse_directory(item_path, new_relative_path) | ||
| elif os.path.isfile(item_path) and item.endswith('.jsonl') and item != 'summary.json': |
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The filename summary.json is hardcoded here. This value is also hardcoded in app/src/main/index.ts. To improve maintainability and ensure consistency, consider defining this as a constant at the top of the script.
| except json.JSONDecodeError as e: | ||
| print(f"Warning: Error parsing line in {item_path}: {e}") | ||
| details[new_relative_path] = parsed_data | ||
| except Exception as e: | ||
| print(f"Warning: Error reading file {item_path}: {e}") | ||
| except Exception as e: | ||
| print(f"Warning: Error reading directory {current_path}: {e}") |
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The script uses print for warnings and errors. For better log management, especially in a script that might be part of a larger pipeline, it's recommended to use Python's logging module. This allows for configurable log levels, formatting, and directing output to files or other handlers.
Example:
import logging
logging.basicConfig(level=logging.INFO, format='%(levelname)s: %(message)s')
# ...
try:
# ...
except json.JSONDecodeError as e:
logging.warning(f"Error parsing line in {item_path}: {e}")
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