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BARREL_EXPORT_MIN_EXPORTS,
BARREL_EXPORT_TOKEN_LIMIT,
CONFIG_NAME_PATTERNS,
Classification,
EMAIL_NAME_PATTERNS,
HANDLER_NAME_PATTERNS,
NEXTJS_METADATA_EXPORTS,
PARSER_NAME_PATTERNS,
SERVICE_NAME_PATTERNS,
SESSION_NAME_PATTERNS,
adjustCohesionForClassification,
adjustFragmentationForClassification,
analyzeContext,
buildCoUsageMatrix,
buildDependencyGraph,
buildTypeGraph,
calculateCohesion,
calculateContextBudget,
calculateDirectoryDistance,
calculateDomainConfidence,
calculateEnhancedCohesion,
calculateFragmentation,
calculateImportDepth,
calculatePathEntropy,
calculateStructuralCohesionFromCoUsage,
classifyFile,
detectCircularDependencies,
detectModuleClusters,
displayConsoleReport,
extractDomainKeywordsFromPaths,
extractExports,
findSemanticClusters,
generateHTMLReport,
generateSummary,
getClassificationRecommendations,
getCoUsageData,
getGeneralRecommendations,
getTransitiveDependencies,
inferDomain,
inferDomainFromSemantics,
isBarrelExport,
isBoilerplateBarrel,
isConfigFile,
isEmailTemplate,
isHubAndSpokeFile,
isLambdaHandler,
isNextJsPage,
isParserFile,
isServiceFile,
isSessionFile,
isTypeDefinition,
isUtilityModule,
runInteractiveSetup
} from "./chunk-J3MUOWHC.mjs";
import "./chunk-64U3PNO3.mjs";
// src/index.ts
import { ToolRegistry } from "@aiready/core";
// src/provider.ts
import {
ToolName as ToolName2,
IssueType,
SpokeOutputSchema
} from "@aiready/core";
// src/scoring.ts
import {
calculateMonthlyCost,
calculateProductivityImpact,
DEFAULT_COST_CONFIG,
ToolName,
getRatingSlug
} from "@aiready/core";
var BUDGET_EXCELLENT_THRESHOLD = 8e3;
var BUDGET_PENALTY_RATE = 200;
var DEPTH_EXCELLENT_THRESHOLD = 8;
var DEPTH_PENALTY_WEIGHT = 5;
var FRAGMENTATION_EXCELLENT_THRESHOLD = 0.5;
var FRAGMENTATION_PENALTY_WEIGHT = 100;
var MAX_CRITICAL_PENALTY = 20;
var CRITICAL_ISSUE_WEIGHT = 3;
var MAX_MAJOR_PENALTY = 15;
var MAJOR_ISSUE_WEIGHT = 1;
var EXTREME_FILE_THRESHOLD = 15e3;
var MAX_EXTREME_PENALTY = 20;
var EXTREME_PENALTY_DIVISOR = 500;
var FRAGMENTATION_BONUS_THRESHOLD = 0.2;
var ORGANIZATION_BONUS = 5;
var MAX_TOTAL_PENALTY = 30;
var WEIGHT_BUDGET = 0.35;
var WEIGHT_DEPTH = 0.25;
var WEIGHT_FRAGMENTATION = 0.25;
function calculateContextScore(summary, costConfig) {
const {
avgContextBudget,
maxContextBudget,
avgImportDepth,
maxImportDepth,
avgFragmentation,
criticalIssues,
majorIssues,
totalFiles
} = summary;
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
);
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;
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 < 12e3 ? "(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 ${Math.round(maxContextBudget)} tokens (very high)`
});
}
const recommendations = [];
if (avgContextBudget > 12e3) {
const estimatedImpact = Math.min(
15,
Math.round((avgContextBudget - 12e3) / 1e3)
);
recommendations.push({
action: "Reduce file dependencies to lower context requirements",
estimatedImpact,
priority: "high"
});
}
if (avgImportDepth > 10) {
const estimatedImpact = Math.min(
10,
Math.round((avgImportDepth - 10) * 1.5)
);
recommendations.push({
action: "Flatten import chains to reduce depth",
estimatedImpact,
priority: avgImportDepth > 15 ? "high" : "medium"
});
}
if (avgFragmentation > 0.5) {
const estimatedImpact = Math.min(
12,
Math.round((avgFragmentation - 0.5) * 40)
);
recommendations.push({
action: "Consolidate related code into cohesive modules",
estimatedImpact,
priority: "medium"
});
}
if (maxContextBudget > 2e4) {
recommendations.push({
action: `Split large file (${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" }),
...Array(majorIssues).fill({ severity: "major" })
];
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
};
}
function mapScoreToRating(score) {
return getRatingSlug(score).replace("-", " ");
}
// src/provider.ts
var ContextAnalyzerProvider = {
id: ToolName2.ContextAnalyzer,
alias: ["context", "fragmentation", "budget"],
async analyze(options) {
const results = await analyzeContext(options);
const summary = generateSummary(results, options);
const normalizedResults = results.map(
(r) => ({
fileName: r.file,
issues: r.issues.map((msg) => ({
type: IssueType.ContextFragmentation,
severity: r.severity,
message: msg,
location: { file: r.file, line: 1 },
suggestion: r.recommendations[0]
})),
metrics: {
tokenCost: r.tokenCost,
complexityScore: r.importDepth
// Map other context-specific metrics if needed
}
})
);
return SpokeOutputSchema.parse({
results: normalizedResults,
summary: {
...summary
},
metadata: {
toolName: ToolName2.ContextAnalyzer,
version: "0.17.5",
timestamp: (/* @__PURE__ */ new Date()).toISOString()
}
});
},
score(output, options) {
const summary = output.summary;
return calculateContextScore(summary, options.costConfig);
},
defaultWeight: 19
};
// src/defaults.ts
import { scanFiles } from "@aiready/core";
async function getSmartDefaults(directory, userOptions) {
const files = await scanFiles({
rootDir: directory,
include: userOptions.include,
exclude: userOptions.exclude
});
const estimatedBlocks = files.length;
let maxDepth;
let maxContextBudget;
let minCohesion;
let maxFragmentation;
if (estimatedBlocks < 100) {
maxDepth = 5;
maxContextBudget = 8e3;
minCohesion = 0.5;
maxFragmentation = 0.5;
} else if (estimatedBlocks < 500) {
maxDepth = 6;
maxContextBudget = 15e3;
minCohesion = 0.45;
maxFragmentation = 0.6;
} else if (estimatedBlocks < 2e3) {
maxDepth = 8;
maxContextBudget = 25e3;
minCohesion = 0.4;
maxFragmentation = 0.7;
} else {
maxDepth = 12;
maxContextBudget = 4e4;
minCohesion = 0.35;
maxFragmentation = 0.8;
}
return {
maxDepth,
maxContextBudget,
minCohesion,
maxFragmentation,
focus: "all",
includeNodeModules: false,
rootDir: userOptions.rootDir || directory,
include: userOptions.include,
exclude: userOptions.exclude
};
}
// src/semantic/consolidation.ts
function findConsolidationCandidates(graph, coUsageMatrix, typeGraph, minCoUsage = 5, minSharedTypes = 2) {
const candidates = [];
for (const [fileA, coUsages] of coUsageMatrix) {
const nodeA = graph.nodes.get(fileA);
if (!nodeA) continue;
for (const [fileB, count] of coUsages) {
if (fileB <= fileA || count < minCoUsage) continue;
const nodeB = graph.nodes.get(fileB);
if (!nodeB) continue;
const typesA = new Set(
nodeA.exports.flatMap((e) => e.typeReferences || [])
);
const typesB = new Set(
nodeB.exports.flatMap((e) => e.typeReferences || [])
);
const sharedTypes = Array.from(typesA).filter((t) => typesB.has(t));
if (sharedTypes.length >= minSharedTypes || count >= minCoUsage * 2) {
candidates.push({
files: [fileA, fileB],
reason: `High co-usage (${count}x)`,
strength: count / 10
});
}
}
}
return candidates.sort((a, b) => b.strength - a.strength);
}
// src/index.ts
ToolRegistry.register(ContextAnalyzerProvider);
export {
BARREL_EXPORT_MIN_EXPORTS,
BARREL_EXPORT_TOKEN_LIMIT,
CONFIG_NAME_PATTERNS,
Classification,
ContextAnalyzerProvider,
EMAIL_NAME_PATTERNS,
HANDLER_NAME_PATTERNS,
NEXTJS_METADATA_EXPORTS,
PARSER_NAME_PATTERNS,
SERVICE_NAME_PATTERNS,
SESSION_NAME_PATTERNS,
adjustCohesionForClassification,
adjustFragmentationForClassification,
analyzeContext,
buildCoUsageMatrix,
buildDependencyGraph,
buildTypeGraph,
calculateCohesion,
calculateContextBudget,
calculateContextScore,
calculateDirectoryDistance,
calculateDomainConfidence,
calculateEnhancedCohesion,
calculateFragmentation,
calculateImportDepth,
calculatePathEntropy,
calculateStructuralCohesionFromCoUsage,
classifyFile,
detectCircularDependencies,
detectModuleClusters,
displayConsoleReport,
extractDomainKeywordsFromPaths,
extractExports,
findConsolidationCandidates,
findSemanticClusters,
generateHTMLReport,
generateSummary,
getClassificationRecommendations,
getCoUsageData,
getGeneralRecommendations,
getSmartDefaults,
getTransitiveDependencies,
inferDomain,
inferDomainFromSemantics,
isBarrelExport,
isBoilerplateBarrel,
isConfigFile,
isEmailTemplate,
isHubAndSpokeFile,
isLambdaHandler,
isNextJsPage,
isParserFile,
isServiceFile,
isSessionFile,
isTypeDefinition,
isUtilityModule,
mapScoreToRating,
runInteractiveSetup
};
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