# All files / src scoring.ts

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     import {
      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('-', ' ');
    }