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calculateMonthlyCost,
calculateProductivityImpact,
DEFAULT_COST_CONFIG,
type CostConfig,
ToolName,
getRatingSlug,
} from '@aiready/core';
import type { ToolScoringOutput } from '@aiready/core';
import type { ContextSummary } from './types';
/**
* Thresholds and weights for context efficiency scoring.
*/
const BUDGET_EXCELLENT_THRESHOLD = 8000;
const BUDGET_PENALTY_RATE = 200;
const DEPTH_EXCELLENT_THRESHOLD = 8;
const DEPTH_PENALTY_WEIGHT = 5;
const FRAGMENTATION_EXCELLENT_THRESHOLD = 0.5;
const FRAGMENTATION_PENALTY_WEIGHT = 100;
const MAX_CRITICAL_PENALTY = 20;
const CRITICAL_ISSUE_WEIGHT = 3;
const MAX_MAJOR_PENALTY = 15;
const MAJOR_ISSUE_WEIGHT = 1;
const EXTREME_FILE_THRESHOLD = 15000;
const MAX_EXTREME_PENALTY = 20;
const EXTREME_PENALTY_DIVISOR = 500;
const FRAGMENTATION_BONUS_THRESHOLD = 0.2;
const ORGANIZATION_BONUS = 5;
const MAX_TOTAL_PENALTY = 30;
const WEIGHT_BUDGET = 0.35;
const WEIGHT_DEPTH = 0.25;
const WEIGHT_FRAGMENTATION = 0.25;
/**
* Calculate AI Readiness Score for context efficiency (0-100).
*
* Evaluates how efficiently an AI model can process the project's code context
* based on token budgets, import depth, and file fragmentation.
*
* @param summary - Consolidated context summary from the scan.
* @param costConfig - Optional configuration for business value calculations.
* @returns Standardized scoring output for the context analyzer tool.
* @lastUpdated 2026-03-18
*/
export function calculateContextScore(
summary: ContextSummary,
costConfig?: Partial<CostConfig>
): ToolScoringOutput {
const {
avgContextBudget,
maxContextBudget,
avgImportDepth,
maxImportDepth,
avgFragmentation,
criticalIssues,
majorIssues,
totalFiles,
} = summary;
// More reasonable thresholds for modern codebases
const budgetScore =
avgContextBudget < BUDGET_EXCELLENT_THRESHOLD
? 100
: Math.max(
0,
100 -
(avgContextBudget - BUDGET_EXCELLENT_THRESHOLD) /
BUDGET_PENALTY_RATE
);
const depthScore =
avgImportDepth < DEPTH_EXCELLENT_THRESHOLD
? 100
: Math.max(
0,
100 -
(avgImportDepth - DEPTH_EXCELLENT_THRESHOLD) * DEPTH_PENALTY_WEIGHT
);
const fragmentationScore =
avgFragmentation < FRAGMENTATION_EXCELLENT_THRESHOLD
? 100
: Math.max(
0,
100 -
(avgFragmentation - FRAGMENTATION_EXCELLENT_THRESHOLD) *
FRAGMENTATION_PENALTY_WEIGHT
);
// Cap penalties to prevent score going to 0
const criticalPenalty = Math.min(
MAX_CRITICAL_PENALTY,
criticalIssues * CRITICAL_ISSUE_WEIGHT
);
const majorPenalty = Math.min(
MAX_MAJOR_PENALTY,
majorIssues * MAJOR_ISSUE_WEIGHT
);
const maxBudgetPenalty =
maxContextBudget > EXTREME_FILE_THRESHOLD
? Math.min(
MAX_EXTREME_PENALTY,
(maxContextBudget - EXTREME_FILE_THRESHOLD) / EXTREME_PENALTY_DIVISOR
)
: 0;
// Add bonus for well-organized codebases
let bonus = 0;
if (
criticalIssues === 0 &&
majorIssues === 0 &&
avgFragmentation < FRAGMENTATION_BONUS_THRESHOLD
) {
bonus = ORGANIZATION_BONUS;
}
const rawScore =
budgetScore * WEIGHT_BUDGET +
depthScore * WEIGHT_DEPTH +
fragmentationScore * WEIGHT_FRAGMENTATION +
bonus;
const finalScore =
rawScore -
Math.min(MAX_TOTAL_PENALTY, criticalPenalty + majorPenalty) -
maxBudgetPenalty;
const score = Math.max(0, Math.min(100, Math.round(finalScore)));
const factors = [
{
name: 'Context Budget',
impact: Math.round(budgetScore * WEIGHT_BUDGET - WEIGHT_BUDGET * 100),
description: `Avg ${Math.round(avgContextBudget)} tokens per file ${avgContextBudget < BUDGET_EXCELLENT_THRESHOLD ? '(excellent)' : avgContextBudget < 12000 ? '(acceptable)' : '(high)'}`,
},
{
name: 'Import Depth',
impact: Math.round(depthScore * WEIGHT_DEPTH - WEIGHT_DEPTH * 100),
description: `Avg ${avgImportDepth.toFixed(1)} levels ${avgImportDepth < DEPTH_EXCELLENT_THRESHOLD ? '(excellent)' : avgImportDepth < 12 ? '(acceptable)' : '(deep)'}`,
},
{
name: 'Fragmentation',
impact: Math.round(
fragmentationScore * WEIGHT_FRAGMENTATION - WEIGHT_FRAGMENTATION * 100
),
description: `${(avgFragmentation * 100).toFixed(0)}% fragmentation ${avgFragmentation < 0.3 ? '(well-organized)' : avgFragmentation < 0.5 ? '(moderate)' : '(high)'}`,
},
];
if (bonus > 0) {
factors.push({
name: 'Well-Organized Codebase',
impact: bonus,
description: 'No critical/major issues and low fragmentation',
});
}
if (criticalIssues > 0) {
factors.push({
name: 'Critical Issues',
impact: -criticalPenalty,
description: `${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 ${Math.round(maxContextBudget)} tokens (very high)`,
});
}
const recommendations: ToolScoringOutput['recommendations'] = [];
if (avgContextBudget > 12000) {
const estimatedImpact = Math.min(
15,
Math.round((avgContextBudget - 12000) / 1000)
);
recommendations.push({
action: 'Reduce file dependencies to lower context requirements',
estimatedImpact,
priority: 'high',
});
}
if (avgImportDepth > 10) {
const estimatedImpact = Math.min(
10,
Math.round((avgImportDepth - 10) * 1.5)
);
recommendations.push({
action: 'Flatten import chains to reduce depth',
estimatedImpact,
priority: avgImportDepth > 15 ? 'high' : 'medium',
});
}
if (avgFragmentation > 0.5) {
const estimatedImpact = Math.min(
12,
Math.round((avgFragmentation - 0.5) * 40)
);
recommendations.push({
action: 'Consolidate related code into cohesive modules',
estimatedImpact,
priority: 'medium',
});
}
if (maxContextBudget > 20000) {
recommendations.push({
action: `Split large file (${Math.round(maxContextBudget)} tokens) into smaller modules`,
estimatedImpact: 8,
priority: 'high',
});
}
const cfg = { ...DEFAULT_COST_CONFIG, ...costConfig };
const estimatedMonthlyCost = calculateMonthlyCost(
avgContextBudget * (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,
};
}
/**
* Maps a numerical score to a human-readable rating slug.
*
* @param score - The 0-100 readiness score.
* @returns A formatted rating string (e.g., "excellent", "at risk").
*/
export function mapScoreToRating(score: number): string {
// Use core implementation to resolve duplication
return getRatingSlug(score).replace('-', ' ');
}
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