"use strict";
Object.defineProperty(exports, "__esModule", { value: true });
exports.getFileCategory = exports.shouldSkipLLM = exports.filterFilesForLLM = exports.logTokenSavings = exports.generateConsolidatedRecommendations = exports.generateRecommendation = exports.classifyFiles = exports.classifyFile = exports.LOCKFILES = exports.IGNORED_PATTERNS = void 0;
exports.IGNORED_PATTERNS = [
    /node_modules\//,
    /dist\//,
    /build\//,
    /\.next\//,
    /coverage\//,
    /\.min\.js$/,
    /\.bundle\.js$/,
    /\.generated\./,
    /vendor\//,
    /\.map$/,
    /\.snap$/,
    /\.lock$/,
    /\.md$/, // Skip markdown files unless explicitly requested
    /__pycache__\//,
    /\.pyc$/,
    /\.egg-info\//,
    /target\//, // Rust/Java build output
    /out\//, // TypeScript/JavaScript build output
    /\.cache\//,
    /\.vscode\//,
    /\.idea\//,
    /\.DS_Store$/,
    /Thumbs\.db$/
];
exports.LOCKFILES = [
    'package-lock.json',
    'pnpm-lock.yaml',
    'yarn.lock',
    'Cargo.lock',
    'poetry.lock',
    'requirements.txt',
    'Pipfile.lock',
    'go.sum',
    'composer.lock'
];
const TOKENS_PER_LINE = 4;
const TOKENS_PER_KB = 150;
const classifyFile = (filename) => {
    const lowerFilename = filename.toLowerCase();
    if (lowerFilename.includes('node_modules/')) {
        return {
            filename,
            category: 'node_modules',
            skipLLM: true,
            reason: 'node_modules directory should not be committed to Git'
        };
    }
    const isLockfile = exports.LOCKFILES.some(lockfile => {
        const lockfileLower = lockfile.toLowerCase();
        return (lowerFilename.endsWith(lockfileLower) ||
            lowerFilename.includes(lockfileLower));
    });
    if (isLockfile) {
        return {
            filename,
            category: 'lockfile',
            skipLLM: true,
            reason: 'Dependency lockfile - skipping deep AI analysis'
        };
    }
    for (const pattern of exports.IGNORED_PATTERNS) {
        if (pattern.test(filename)) {
            return {
                filename,
                category: 'generated',
                skipLLM: true,
                reason: 'Generated or build artifact'
            };
        }
    }
    return {
        filename,
        category: 'source',
        skipLLM: false
    };
};
exports.classifyFile = classifyFile;
const classifyFiles = (filenames) => {
    const classifications = [];
    const metrics = {
        skippedFiles: 0,
        skippedTokensEstimate: 0,
        categories: {}
    };
    for (const filename of filenames) {
        const classification = (0, exports.classifyFile)(filename);
        classifications.push(classification);
        if (classification.skipLLM) {
            metrics.skippedFiles++;
            // Track by category
            metrics.categories[classification.category] =
                (metrics.categories[classification.category] || 0) + 1;
            // Estimate tokens saved (rough estimate based on file path length)
            // In a real implementation, this would use actual file size
            const estimatedTokens = Math.max(1000, filename.length * TOKENS_PER_LINE);
            metrics.skippedTokensEstimate += estimatedTokens;
        }
    }
    return { classifications, metrics };
};
exports.classifyFiles = classifyFiles;
const generateRecommendation = (classification) => {
    if (!classification.skipLLM) {
        return null;
    }
    switch (classification.category) {
        case 'node_modules':
            return `## 💡 Recommendation

\`node_modules/\` was detected in this pull request.

This directory should usually not be committed to Git.

### Suggested Fix

Add this to \`.gitignore\`:

\`\`\`gitignore
node_modules/
\`\`\`

### AI Agent Prompt

Remove committed node_modules files and update .gitignore to exclude them permanently.`;
        case 'lockfile':
            return `## ℹ️ Optimization Suggestion

Large dependency lockfile changes detected.

Consider separating dependency updates into dedicated PRs to reduce review noise and improve review clarity.`;
        case 'generated':
            return `## 💡 Recommendation

Generated/build artifacts were detected and skipped from AI review to improve review performance and reduce unnecessary noise.`;
        default:
            return `## ℹ️ Information

File \`${classification.filename}\` was skipped from AI review: ${classification.reason || 'No specific reason provided'}`;
    }
};
exports.generateRecommendation = generateRecommendation;
const generateConsolidatedRecommendations = (classifications) => {
    const recommendations = [];
    const seenCategories = new Set();
    // Group by category to avoid duplicate recommendations
    const byCategory = new Map();
    for (const classification of classifications) {
        if (classification.skipLLM) {
            if (!byCategory.has(classification.category)) {
                byCategory.set(classification.category, []);
            }
            byCategory.get(classification.category).push(classification);
        }
    }
    // Generate one recommendation per category
    for (const [category, files] of byCategory.entries()) {
        if (seenCategories.has(category))
            continue;
        seenCategories.add(category);
        const representative = files[0];
        const recommendation = (0, exports.generateRecommendation)(representative);
        if (recommendation) {
            // Add file count if multiple files in this category
            let finalRecommendation = recommendation;
            if (files.length > 1) {
                finalRecommendation = recommendation.replace(/was detected/, `(${files.length} files) were detected`);
            }
            recommendations.push(finalRecommendation);
        }
    }
    return recommendations;
};
exports.generateConsolidatedRecommendations = generateConsolidatedRecommendations;
const logTokenSavings = (metrics) => {
    console.log('REVIEW_OPTIMIZATION', {
        skippedFiles: metrics.skippedFiles,
        skippedTokensEstimate: metrics.skippedTokensEstimate,
        reason: 'File classification filtering',
        categories: metrics.categories
    });
    // Human-readable summary
    if (metrics.skippedFiles > 0) {
        const tokenK = (metrics.skippedTokensEstimate / 1000).toFixed(0);
        console.log(`Skipped ${metrics.skippedFiles} generated/irrelevant files`);
        console.log(`Estimated token savings: ${tokenK}k`);
    }
};
exports.logTokenSavings = logTokenSavings;
const filterFilesForLLM = (filenames) => {
    return filenames.filter(filename => !(0, exports.classifyFile)(filename).skipLLM);
};
exports.filterFilesForLLM = filterFilesForLLM;
const shouldSkipLLM = (filename) => {
    return (0, exports.classifyFile)(filename).skipLLM;
};
exports.shouldSkipLLM = shouldSkipLLM;
const getFileCategory = (filename) => {
    return (0, exports.classifyFile)(filename).category;
};
exports.getFileCategory = getFileCategory;
//# sourceMappingURL=file-filter.js.map