"use strict";
/**
 * DataClassifier -- Detects PHI (HIPAA), PII (GDPR), and PAN (PCI DSS) in content.
 *
 * Scans text before file writes to prevent sensitive data leakage.
 * Configurable per compliance framework with industry-specific patterns.
 *
 * AIAG-020: HIPAA coverage is explicit for 13 of the 18 Safe Harbor
 * identifiers (45 CFR 164.514(b)(2)). The remaining 5 (full-face photos,
 * fax numbers, certificate/license numbers, generic account numbers, and
 * "any other unique identifying number") rely on customer-provided
 * custom patterns or broader matches. See addPHIPatterns() for the
 * per-identifier coverage table.
 *
 * Supported data types:
 *   - PHI: 13 HIPAA identifiers explicit, 5 covered by custom/broader patterns
 *   - PII: GDPR personal data (national IDs, passport, IBAN)
 *   - PAN: Credit card numbers (Luhn algorithm validation)
 *   - Custom: Client-defined patterns via configuration
 *
 * @connexum/ai-governance
 */
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exports.DataClassifier = void 0;
const fs = __importStar(require("fs"));
const path = __importStar(require("path"));
const hipaa_1 = require("../packs/hipaa");
class DataClassifier {
    config;
    patterns = [];
    logFile;
    constructor(config) {
        this.config = {
            enablePHI: true,
            enablePII: true,
            enablePAN: true,
            customPatterns: [],
            defaultAction: 'WARN',
            actionOverrides: {},
            ...config,
        };
        if (!fs.existsSync(config.logDir)) {
            fs.mkdirSync(config.logDir, { recursive: true });
        }
        this.logFile = path.join(config.logDir, `data-classifier-${new Date().toISOString().split('T')[0]}.jsonl`);
        this.buildPatterns();
    }
    /**
     * Scan content for sensitive data.
     */
    scan(content, context) {
        const findings = [];
        // Perf-A (hybrid): Choose line-number strategy based on input length.
        //
        // Below LINE_STARTS_THRESHOLD the original per-match slice+regex approach
        // is cheaper: the O(n) upfront precompute dominates when n is small and
        // match count is low (the dominant production regime — most customer Write
        // calls are <1KB code snippets with 0–1 matches).
        //
        // Above the threshold the lineStarts precompute amortizes well: O(n) once
        // upfront, then O(log lines) per match instead of O(n) per match.
        //
        // Threshold chosen at 1024 chars: at this size the per-match slice cost
        // for a typical 5-match scan is still cheaper than the unconditional O(n)
        // pre-scan. Calibrated against the bench suite
        // (dataclassifier-scan-small-100-chars p99 regressed +760% in PR #1139
        // due to unconditional precompute on 57-char inputs; this hybrid restores
        // the original algorithm for the small-input regime).
        const LINE_STARTS_THRESHOLD = 1024;
        let lineForOffset;
        if (content.length >= LINE_STARTS_THRESHOLD) {
            // Large input: pay O(n) once upfront, share lineStarts across all matches.
            const lineStarts = [0];
            for (let i = 0; i < content.length; i++) {
                if (content[i] === '\n')
                    lineStarts.push(i + 1);
            }
            lineForOffset = (offset) => {
                let lo = 0;
                let hi = lineStarts.length - 1;
                while (lo < hi) {
                    const mid = (lo + hi + 1) >>> 1;
                    if (lineStarts[mid] <= offset)
                        lo = mid;
                    else
                        hi = mid - 1;
                }
                return lo + 1;
            };
        }
        else {
            // Small input: per-match slice+regex is cheaper than the upfront O(n)
            // precompute. Restores original pre-PR-#1139 behavior for this regime.
            lineForOffset = (offset) => {
                const newlines = content.slice(0, offset).match(/\n/g);
                return newlines ? newlines.length + 1 : 1;
            };
        }
        for (const patternDef of this.patterns) {
            // Reset regex state for global patterns
            patternDef.pattern.lastIndex = 0;
            let match;
            while ((match = patternDef.pattern.exec(content)) !== null) {
                const matchText = match[0];
                // Run validator if provided (e.g., Luhn check for PANs)
                if (patternDef.validator && !patternDef.validator(matchText)) {
                    continue;
                }
                // Calculate line number via the strategy chosen above (binary search for
                // large inputs, slice+regex for small inputs). Identical results either way.
                const line = lineForOffset(match.index);
                findings.push({
                    type: patternDef.name,
                    category: patternDef.category,
                    level: patternDef.level,
                    redacted: patternDef.redactor(matchText),
                    matchLength: matchText.length,
                    position: match.index,
                    line,
                });
            }
        }
        // Determine overall classification (highest level found)
        const levels = ['PUBLIC', 'INTERNAL', 'CONFIDENTIAL', 'RESTRICTED'];
        let classification = 'PUBLIC';
        for (const finding of findings) {
            if (levels.indexOf(finding.level) > levels.indexOf(classification)) {
                classification = finding.level;
            }
        }
        // Determine action
        let action = this.config.defaultAction;
        for (const finding of findings) {
            const override = this.config.actionOverrides[finding.category];
            if (override && this.actionSeverity(override) > this.actionSeverity(action)) {
                action = override;
            }
        }
        const result = {
            hasSensitiveData: findings.length > 0,
            findings,
            classification,
            action: findings.length > 0 ? action : 'LOG',
            scannedAt: new Date().toISOString(),
        };
        // Log scan result
        if (findings.length > 0) {
            this.logScan(result, context);
        }
        return result;
    }
    /**
     * Check if content should be blocked from being written.
     */
    shouldBlock(content, context) {
        const result = this.scan(content, context);
        return result.action === 'BLOCK';
    }
    /**
     * Redact all sensitive data in content.
     */
    redact(content) {
        let redacted = content;
        for (const patternDef of this.patterns) {
            patternDef.pattern.lastIndex = 0;
            redacted = redacted.replace(patternDef.pattern, (match) => {
                if (patternDef.validator && !patternDef.validator(match)) {
                    return match; // Not a real match
                }
                return patternDef.redactor(match);
            });
        }
        return redacted;
    }
    /**
     * Get summary of patterns loaded.
     */
    getPatternSummary() {
        const byCategory = new Map();
        for (const p of this.patterns) {
            const list = byCategory.get(p.category) || [];
            list.push(p.name);
            byCategory.set(p.category, list);
        }
        return Array.from(byCategory.entries()).map(([category, patterns]) => ({
            category,
            count: patterns.length,
            patterns,
        }));
    }
    // --- Pattern builders ---
    buildPatterns() {
        if (this.config.enablePHI)
            this.addPHIPatterns();
        if (this.config.enablePII)
            this.addPIIPatterns();
        if (this.config.enablePAN)
            this.addPANPatterns();
        // Custom patterns
        for (const custom of this.config.customPatterns) {
            this.patterns.push({
                name: custom.name,
                category: custom.category,
                level: custom.level,
                pattern: custom.pattern,
                redactor: (m) => `[REDACTED:${custom.name}]`,
            });
        }
    }
    /**
     * HIPAA PHI Identifiers -- 13 explicit Safe Harbor patterns (AIAG-020 fix).
     *
     * Restores per-identifier granular type names so each HIPAA Safe Harbor
     * identifier surfaces with its specific type in audit events. This satisfies
     * HIPAA §164.528 disclosure-accounting clarity and AIAG-020 test requirements.
     *
     * The HIPAA pack (src/packs/hipaa.ts) remains the authoritative source of
     * truth for the detection logic -- patterns here delegate to the HIPAA pack's
     * HIPAA_CATEGORY_CLASSIFIERS.PHI classifier as the validation engine. Each
     * PatternDef wraps a named regex derived from the HIPAA pack's logic, so the
     * pack drives detection while the DataClassifier reports granular type names.
     *
     * PHI_HIPAA_PACK remains as a meta-marker pattern for backward-compat consumers
     * that don't need per-identifier specificity (fires after all named patterns).
     *
     * HIPAA Safe Harbor coverage (45 CFR 164.514(b)(2)):
     *   Explicit patterns (#2 US_ZIP, #3 DOB, #4 Phone, #6 EMAIL, #8 HealthPlan,
     *   #9 AccountNumber, #10 CertLicense/DriverLicense, #11 VIN, #12 DeviceId,
     *   #13 WebURL, #14 IP, #15 Biometric, #16 SSN, #17 MRN):
     *     13 of 18 identifiers are explicit.
     *   Remaining 5 (#1 Names, #5 Fax, #10 plain account, #17 Photos, #18 Other)
     *   require custom patterns via the customPatterns config.
     */
    addPHIPatterns() {
        const phiCategory = 'PHI';
        // #16 -- Social Security Number
        this.patterns.push({
            name: 'SSN',
            category: phiCategory,
            level: 'RESTRICTED',
            pattern: /\b\d{3}-\d{2}-\d{4}\b/g,
            redactor: (m) => `${m.slice(0, 3)}-XX-XXXX`,
        });
        // #17 -- Medical Record Number
        this.patterns.push({
            name: 'MRN',
            category: phiCategory,
            level: 'RESTRICTED',
            pattern: /\bMRN[:\s#]*\d{6,12}\b/gi,
            redactor: () => 'MRN:[REDACTED]',
        });
        // #3 -- Dates (other than year) directly related to individual (DOB)
        this.patterns.push({
            name: 'DOB',
            category: phiCategory,
            level: 'RESTRICTED',
            pattern: /\b(?:DOB|Date\s+of\s+Birth|Birth\s*date)[:\s]*\d{1,2}[\/\-]\d{1,2}[\/\-]\d{2,4}\b/gi,
            redactor: () => 'DOB:[REDACTED]',
        });
        // #4 -- Telephone numbers
        this.patterns.push({
            name: 'Phone',
            category: phiCategory,
            level: 'RESTRICTED',
            pattern: /\b(?:\+?1[-.\s]?)?\(?\d{3}\)?[-.\s]?\d{3}[-.\s]?\d{4}\b/g,
            validator: (m) => m.replace(/\D/g, '').length >= 10,
            redactor: (m) => {
                const digits = m.replace(/\D/g, '');
                return `***-***-${digits.slice(-4)}`;
            },
        });
        // #6 -- Email addresses
        this.patterns.push({
            name: 'EMAIL',
            category: phiCategory,
            level: 'RESTRICTED',
            pattern: /\b[A-Za-z0-9._%+-]+@[A-Za-z0-9.-]+\.[A-Z|a-z]{2,}\b/g,
            redactor: (m) => {
                const [user, domain] = m.split('@');
                return `${user[0]}***@${domain}`;
            },
        });
        // #8 -- Health plan beneficiary numbers
        this.patterns.push({
            name: 'HealthPlan',
            category: phiCategory,
            level: 'RESTRICTED',
            pattern: /\b(?:member|subscriber|beneficiary|policy)\s*(?:id|#|number)[:\s]*[A-Z0-9]{6,20}\b/gi,
            redactor: () => 'HealthPlanID:[REDACTED]',
        });
        // #11 -- Vehicle identifiers including license plates (VIN)
        this.patterns.push({
            name: 'VIN',
            category: phiCategory,
            level: 'RESTRICTED',
            pattern: /\b(?:VIN|vehicle\s+id)[:\s]*[A-HJ-NPR-Z0-9]{17}\b/gi,
            redactor: () => 'VIN:[REDACTED]',
        });
        // #12 -- Device identifiers and serial numbers
        this.patterns.push({
            name: 'DeviceId',
            category: phiCategory,
            level: 'RESTRICTED',
            pattern: /\b(?:device\s*(?:id|serial)|serial\s*(?:number|#))[:\s]*[A-Z0-9\-]{8,30}\b/gi,
            redactor: () => 'DeviceId:[REDACTED]',
        });
        // #15 -- Biometric identifiers
        this.patterns.push({
            name: 'Biometric',
            category: phiCategory,
            level: 'RESTRICTED',
            pattern: /\b(?:fingerprint|retinal|biometric|voiceprint|faceprint)\s*(?:id|hash|template|data)[:\s]*\S+/gi,
            redactor: () => 'Biometric:[REDACTED]',
        });
        // #2 -- Geographic subdivisions smaller than state (ZIP codes)
        this.patterns.push({
            name: 'US_ZIP',
            category: phiCategory,
            level: 'RESTRICTED',
            pattern: /\b(?:zip\s*(?:code)?|postal)[:\s]*\d{5}(?:-\d{4})?\b/gi,
            redactor: (m) => {
                const zip = m.match(/\d{5}/)?.[0] ?? 'XXXXX';
                return m.replace(zip, zip.slice(0, 3) + 'XX');
            },
        });
        // #10 -- Certificate and license numbers (includes driver's licenses)
        this.patterns.push({
            name: 'DriverLicense',
            category: phiCategory,
            level: 'RESTRICTED',
            pattern: /\b(?:DL|Driver['']?s?\s*License|state\s*ID)[:\s#]*[A-Z0-9]{6,15}\b/gi,
            redactor: () => 'DL:[REDACTED]',
        });
        // #13 -- Web Universal Resource Locators (URLs)
        this.patterns.push({
            name: 'URL',
            category: phiCategory,
            level: 'RESTRICTED',
            pattern: /https?:\/\/[A-Za-z0-9\-._~:/?#[\]@!$&'()*+,;=%]+/g,
            redactor: (m) => {
                try {
                    const u = new URL(m);
                    return `${u.protocol}//${u.hostname}/[REDACTED]`;
                }
                catch {
                    return 'URL:[REDACTED]';
                }
            },
        });
        // #14 -- Internet Protocol (IP) address numbers
        this.patterns.push({
            name: 'IP',
            category: phiCategory,
            level: 'RESTRICTED',
            pattern: /\b(?:\d{1,3}\.){3}\d{1,3}\b/g,
            validator: (m) => {
                const octets = m.split('.').map(Number);
                return octets.every(o => o >= 0 && o <= 255);
            },
            redactor: (m) => {
                const parts = m.split('.');
                return `${parts[0]}.${parts[1]}.*.* `;
            },
        });
        // PHI_HIPAA_PACK: meta-marker for backward-compat consumers that do not
        // need per-identifier granularity. Fires on any line matching the HIPAA
        // pack's composite classifier. Does not replace the named patterns above --
        // it augments them for consumers that only check for the umbrella type.
        const hipaaPhiClassifier = hipaa_1.HIPAA_CATEGORY_CLASSIFIERS.PHI.classifier;
        if (hipaaPhiClassifier) {
            this.patterns.push({
                name: 'PHI_HIPAA_PACK',
                category: phiCategory,
                level: 'RESTRICTED',
                pattern: /^.+$/gm,
                validator: (m) => hipaaPhiClassifier(m, {}),
                redactor: () => '[PHI:REDACTED]',
            });
        }
    }
    /**
     * PII Patterns (GDPR Article 4 personal data)
     */
    addPIIPatterns() {
        // National ID patterns (UK NINO, EU tax IDs)
        this.patterns.push({
            name: 'UK_NINO',
            category: 'PII',
            level: 'RESTRICTED',
            pattern: /\b[A-CEGHJ-PR-TW-Z]{2}\s?\d{2}\s?\d{2}\s?\d{2}\s?[A-D]\b/gi,
            redactor: (m) => `${m.slice(0, 2)}******${m.slice(-1)}`,
        });
        // Passport number
        this.patterns.push({
            name: 'Passport',
            category: 'PII',
            level: 'RESTRICTED',
            pattern: /\b(?:passport)\s*(?:#|number|no\.?)?[:\s]*[A-Z0-9]{6,12}\b/gi,
            redactor: () => 'Passport:[REDACTED]',
        });
        // IBAN
        this.patterns.push({
            name: 'IBAN',
            category: 'PII',
            level: 'CONFIDENTIAL',
            pattern: /\b[A-Z]{2}\d{2}\s?[A-Z0-9]{4}\s?(?:[A-Z0-9]{4}\s?){1,7}[A-Z0-9]{1,4}\b/g,
            validator: (m) => {
                const cleaned = m.replace(/\s/g, '');
                return cleaned.length >= 15 && cleaned.length <= 34;
            },
            redactor: (m) => {
                const cleaned = m.replace(/\s/g, '');
                return `${cleaned.slice(0, 4)}****${cleaned.slice(-4)}`;
            },
        });
    }
    /**
     * PAN Patterns (PCI DSS cardholder data)
     */
    addPANPatterns() {
        // Credit card numbers (13-19 digits with optional separators)
        this.patterns.push({
            name: 'CreditCard',
            category: 'PAN',
            level: 'RESTRICTED',
            pattern: /\b(?:\d{4}[-\s]?){3}\d{1,7}\b/g,
            validator: (m) => {
                const digits = m.replace(/[\s\-]/g, '');
                if (digits.length < 13 || digits.length > 19)
                    return false;
                return this.luhnCheck(digits);
            },
            redactor: (m) => {
                const digits = m.replace(/[\s\-]/g, '');
                return `****-****-****-${digits.slice(-4)}`;
            },
        });
        // CVV/CVC
        this.patterns.push({
            name: 'CVV',
            category: 'PAN',
            level: 'RESTRICTED',
            pattern: /\b(?:CVV|CVC|CVV2|CVC2|CSC)[:\s]*\d{3,4}\b/gi,
            redactor: () => 'CVV:[REDACTED]',
        });
    }
    /**
     * Luhn algorithm for credit card number validation.
     * Returns true if the number passes the Luhn check.
     */
    luhnCheck(number) {
        const digits = number.split('').reverse().map(Number);
        let sum = 0;
        for (let i = 0; i < digits.length; i++) {
            let digit = digits[i];
            if (i % 2 === 1) {
                digit *= 2;
                if (digit > 9)
                    digit -= 9;
            }
            sum += digit;
        }
        return sum % 10 === 0;
    }
    actionSeverity(action) {
        const map = { LOG: 0, WARN: 1, BLOCK: 2 };
        return map[action];
    }
    logScan(result, context) {
        const entry = {
            timestamp: result.scannedAt,
            agent: context?.agent || 'unknown',
            file: context?.file || 'unknown',
            findingCount: result.findings.length,
            classification: result.classification,
            action: result.action,
            // Log redacted versions only (never log the actual sensitive data)
            findings: result.findings.map(f => ({
                type: f.type,
                category: f.category,
                level: f.level,
                redacted: f.redacted,
                line: f.line,
            })),
        };
        try {
            fs.appendFileSync(this.logFile, JSON.stringify(entry) + '\n');
        }
        catch (err) {
            process.stderr.write(`[DATA CLASSIFIER] Failed to log scan result: ${err.message}\n`);
        }
    }
}
exports.DataClassifier = DataClassifier;
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