feat(frontend): integrate GraphRAG scored evaluation results
- Add getUnifiedEvaluationResults API function - Extend ReviewPointsListProps with flowType, scoredResults, scoredSummary - Add ScoredResultCard rendering for graphrag flow_type - Modify reviews.tsx loader to call unified API - Add scored evaluation component imports Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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import React from 'react';
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import { ScoreBar } from './ScoreBar';
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import { FieldResultList } from './FieldResultList';
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interface ScoredResultCardProps {
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result: {
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evaluation_point_id: number;
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code: string;
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name: string;
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passed: boolean;
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machine_score: number; // e.g., 3
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score: number; // e.g., 5 (full score from evaluation_points)
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percentage: number;
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total_score: number; // e.g., 60
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total_weight: number; // e.g., 100
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field_results: Array<{
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field_path: string;
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evaluation_as: string;
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weight: number;
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scored: number;
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status: string;
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value: string;
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page?: string;
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ai_feedback?: string;
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}>;
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missing_fields?: string[];
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ai_suggestion?: string;
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};
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}
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export function ScoredResultCard({ result }: ScoredResultCardProps) {
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return (
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<div className="scored-result-card" data-passed={result.passed}>
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<div className="scored-result-card__header">
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<span className="scored-result-card__code">{result.code}</span>
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<span className="scored-result-card__name">{result.name}</span>
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</div>
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<ScoreBar
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score={result.machine_score}
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fullScore={result.score}
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percentage={result.percentage}
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passed={result.passed}
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/>
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<FieldResultList items={result.field_results} />
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{result.ai_suggestion && (
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<div className="scored-result-card__suggestion">
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<strong>💡 建议:</strong>
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<span>{result.ai_suggestion}</span>
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</div>
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)}
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</div>
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);
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}
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