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calculateMonthlyCost,
calculateProductivityImpact,
DEFAULT_COST_CONFIG,
type CostConfig,
ToolName,
} from '@aiready/core';
import type { ToolScoringOutput } from '@aiready/core';
import type { ContextSummary } from './types';
/**
* Calculate AI Readiness Score for context efficiency (0-100)
*/
export function calculateContextScore(
summary: ContextSummary,
costConfig?: Partial<CostConfig>
): ToolScoringOutput {
const {
avgContextBudget,
maxContextBudget,
avgImportDepth,
maxImportDepth,
avgFragmentation,
criticalIssues,
majorIssues,
} = summary;
const budgetScore =
avgContextBudget < 5000
? 100
: Math.max(0, 100 - (avgContextBudget - 5000) / 150);
const depthScore =
avgImportDepth < 5 ? 100 : Math.max(0, 100 - (avgImportDepth - 5) * 10);
const fragmentationScore =
avgFragmentation < 0.3
? 100
: Math.max(0, 100 - (avgFragmentation - 0.3) * 200);
const criticalPenalty = criticalIssues * 10;
const majorPenalty = majorIssues * 3;
const maxBudgetPenalty =
maxContextBudget > 15000
? Math.min(20, (maxContextBudget - 15000) / 500)
: 0;
const rawScore =
budgetScore * 0.4 + depthScore * 0.3 + fragmentationScore * 0.3;
const finalScore =
rawScore - criticalPenalty - majorPenalty - maxBudgetPenalty;
const score = Math.max(0, Math.min(100, Math.round(finalScore)));
const factors = [
{
name: 'Context Budget',
impact: Math.round(budgetScore * 0.4 - 40),
description: `Avg ${Math.round(avgContextBudget)} tokens per file ${avgContextBudget < 5000 ? '(excellent)' : avgContextBudget < 10000 ? '(acceptable)' : '(high)'}`,
},
{
name: 'Import Depth',
impact: Math.round(depthScore * 0.3 - 30),
description: `Avg ${avgImportDepth.toFixed(1)} levels ${avgImportDepth < 5 ? '(excellent)' : avgImportDepth < 8 ? '(acceptable)' : '(deep)'}`,
},
{
name: 'Fragmentation',
impact: Math.round(fragmentationScore * 0.3 - 30),
description: `${(avgFragmentation * 100).toFixed(0)}% fragmentation ${avgFragmentation < 0.3 ? '(well-organized)' : avgFragmentation < 0.5 ? '(moderate)' : '(high)'}`,
},
];
if (criticalIssues > 0) {
factors.push({
name: 'Critical Issues',
impact: -criticalPenalty,
description: `${criticalIssues} critical context issue${criticalIssues > 1 ? 's' : ''}`,
});
}
if (majorIssues > 0) {
factors.push({
name: 'Major Issues',
impact: -majorPenalty,
description: `${majorIssues} major context issue${majorIssues > 1 ? 's' : ''}`,
});
}
if (maxBudgetPenalty > 0) {
factors.push({
name: 'Extreme File Detected',
impact: -Math.round(maxBudgetPenalty),
description: `One file requires ${Math.round(maxContextBudget)} tokens (very high)`,
});
}
const recommendations: ToolScoringOutput['recommendations'] = [];
if (avgContextBudget > 10000) {
const estimatedImpact = Math.min(
15,
Math.round((avgContextBudget - 10000) / 1000)
);
recommendations.push({
action: 'Reduce file dependencies to lower context requirements',
estimatedImpact,
priority: 'high',
});
}
if (avgImportDepth > 8) {
const estimatedImpact = Math.min(10, Math.round((avgImportDepth - 8) * 2));
recommendations.push({
action: 'Flatten import chains to reduce depth',
estimatedImpact,
priority: avgImportDepth > 10 ? 'high' : 'medium',
});
}
if (avgFragmentation > 0.5) {
const estimatedImpact = Math.min(
12,
Math.round((avgFragmentation - 0.5) * 40)
);
recommendations.push({
action: 'Consolidate related code into cohesive modules',
estimatedImpact,
priority: 'medium',
});
}
if (maxContextBudget > 20000) {
recommendations.push({
action: `Split large file (${Math.round(maxContextBudget)} tokens) into smaller modules`,
estimatedImpact: 8,
priority: 'high',
});
}
const cfg = { ...DEFAULT_COST_CONFIG, ...costConfig };
const estimatedMonthlyCost = calculateMonthlyCost(
avgContextBudget * (summary.totalFiles || 1),
cfg
);
const issues = [
...Array(criticalIssues).fill({ severity: 'critical' as const }),
...Array(majorIssues).fill({ severity: 'major' as const }),
];
const productivityImpact = calculateProductivityImpact(issues);
return {
toolName: ToolName.ContextAnalyzer,
score,
rawMetrics: {
avgContextBudget: Math.round(avgContextBudget),
maxContextBudget: Math.round(maxContextBudget),
avgImportDepth: Math.round(avgImportDepth * 10) / 10,
maxImportDepth,
avgFragmentation: Math.round(avgFragmentation * 100) / 100,
criticalIssues,
majorIssues,
estimatedMonthlyCost,
estimatedDeveloperHours: productivityImpact.totalHours,
},
factors,
recommendations,
};
}
export function mapScoreToRating(score: number): string {
if (score >= 90) return 'excellent';
if (score >= 75) return 'good';
if (score >= 60) return 'fair';
if (score >= 40) return 'needs work';
return 'critical';
}
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