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ContextAnalysisResult,
ContextSummary,
ModuleCluster,
} from './types';
import { calculatePathEntropy, calculateDirectoryDistance } from './analyzer';
import { GLOBAL_SCAN_OPTIONS } from '@aiready/core';
/**
* Generate summary of context analysis results
*/
export function generateSummary(
results: ContextAnalysisResult[],
options?: any
): ContextSummary {
const config = options
? Object.fromEntries(
Object.entries(options).filter(
([key]) => !GLOBAL_SCAN_OPTIONS.includes(key) || key === 'rootDir'
)
)
: undefined;
Iif (results.length === 0) {
return {
totalFiles: 0,
totalTokens: 0,
avgContextBudget: 0,
maxContextBudget: 0,
avgImportDepth: 0,
maxImportDepth: 0,
deepFiles: [],
avgFragmentation: 0,
fragmentedModules: [],
avgCohesion: 0,
lowCohesionFiles: [],
criticalIssues: 0,
majorIssues: 0,
minorIssues: 0,
totalPotentialSavings: 0,
topExpensiveFiles: [],
config,
};
}
const totalFiles = results.length;
const totalTokens = results.reduce((sum, r) => sum + r.tokenCost, 0);
const totalContextBudget = results.reduce(
(sum, r) => sum + r.contextBudget,
0
);
const avgContextBudget = totalContextBudget / totalFiles;
const maxContextBudget = Math.max(...results.map((r) => r.contextBudget));
const avgImportDepth =
results.reduce((sum, r) => sum + r.importDepth, 0) / totalFiles;
const maxImportDepth = Math.max(...results.map((r) => r.importDepth));
const deepFiles = results
.filter((r) => r.importDepth >= 5)
.map((r) => ({ file: r.file, depth: r.importDepth }))
.sort((a, b) => b.depth - a.depth)
.slice(0, 10);
const avgFragmentation =
results.reduce((sum, r) => sum + r.fragmentationScore, 0) / totalFiles;
const moduleMap = new Map<string, ContextAnalysisResult[]>();
for (const result of results) {
for (const domain of result.domains) {
Eif (!moduleMap.has(domain)) moduleMap.set(domain, []);
moduleMap.get(domain)!.push(result);
}
}
const fragmentedModules: ModuleCluster[] = [];
for (const [domain, files] of moduleMap.entries()) {
Eif (files.length < 2) continue;
const fragmentationScore =
files.reduce((sum, f) => sum + f.fragmentationScore, 0) / files.length;
if (fragmentationScore < 0.3) continue;
const totalTokens = files.reduce((sum, f) => sum + f.tokenCost, 0);
const avgCohesion =
files.reduce((sum, f) => sum + f.cohesionScore, 0) / files.length;
const targetFiles = Math.max(1, Math.ceil(files.length / 3));
const filePaths = files.map((f) => f.file);
const pathEntropy = calculatePathEntropy(filePaths);
const directoryDistance = calculateDirectoryDistance(filePaths);
function jaccard(a: string[], b: string[]) {
const s1 = new Set(a || []);
const s2 = new Set(b || []);
if (s1.size === 0 && s2.size === 0) return 0;
const inter = new Set([...s1].filter((x) => s2.has(x)));
const uni = new Set([...s1, ...s2]);
return uni.size === 0 ? 0 : inter.size / uni.size;
}
let importSimTotal = 0;
let importPairs = 0;
for (let i = 0; i < files.length; i++) {
for (let j = i + 1; j < files.length; j++) {
importSimTotal += jaccard(
files[i].dependencyList || [],
files[j].dependencyList || []
);
importPairs++;
}
}
const importCohesion = importPairs > 0 ? importSimTotal / importPairs : 0;
fragmentedModules.push({
domain,
files: files.map((f) => f.file),
totalTokens,
fragmentationScore,
avgCohesion,
importCohesion,
pathEntropy,
directoryDistance,
suggestedStructure: {
targetFiles,
consolidationPlan: [
`Consolidate ${files.length} files across ${new Set(files.map((f) => f.file.split('/').slice(0, -1).join('/'))).size} directories`,
`Target ~${targetFiles} core modules to reduce context switching`,
],
},
});
}
const avgCohesion =
results.reduce((sum, r) => sum + r.cohesionScore, 0) / totalFiles;
const lowCohesionFiles = results
.filter((r) => r.cohesionScore < 0.4)
.map((r) => ({ file: r.file, score: r.cohesionScore }))
.sort((a, b) => a.score - b.score)
.slice(0, 10);
const criticalIssues = results.filter(
(r) => r.severity === 'critical'
).length;
const majorIssues = results.filter((r) => r.severity === 'major').length;
const minorIssues = results.filter((r) => r.severity === 'minor').length;
const totalPotentialSavings = results.reduce(
(sum, r) => sum + r.potentialSavings,
0
);
const topExpensiveFiles = results
.sort((a, b) => b.contextBudget - a.contextBudget)
.slice(0, 10)
.map((r) => ({
file: r.file,
contextBudget: r.contextBudget,
severity: r.severity,
}));
return {
totalFiles,
totalTokens,
avgContextBudget,
maxContextBudget,
avgImportDepth,
maxImportDepth,
deepFiles,
avgFragmentation,
fragmentedModules,
avgCohesion,
lowCohesionFiles,
criticalIssues,
majorIssues,
minorIssues,
totalPotentialSavings,
topExpensiveFiles,
config,
};
}
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