"use strict";
/**
 * VisualRegressionCollector — captures screenshots and compares against baselines.
 * Uses pixelmatch for pixel-level comparison and sharp for image normalization.
 */
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}) : (function(o, m, k, k2) {
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var __setModuleDefault = (this && this.__setModuleDefault) || (Object.create ? (function(o, v) {
    Object.defineProperty(o, "default", { enumerable: true, value: v });
}) : function(o, v) {
    o["default"] = v;
});
var __importStar = (this && this.__importStar) || (function () {
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        ownKeys = Object.getOwnPropertyNames || function (o) {
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})();
Object.defineProperty(exports, "__esModule", { value: true });
exports.VisualRegressionCollector = exports.DEFAULT_VISUAL_CONFIG = void 0;
exports.compareScreenshots = compareScreenshots;
const crypto = __importStar(require("crypto"));
const path = __importStar(require("path"));
const fs = __importStar(require("fs"));
exports.DEFAULT_VISUAL_CONFIG = {
    enabled: true,
    threshold: 0.001,
    screenshotFullPage: false,
    ignoreSelectors: [],
};
async function compareScreenshots(baselinePath, currentPath, diffOutputPath, threshold = 0.1) {
    // Dynamic imports to avoid loading heavy deps at startup
    const sharp = (await Promise.resolve().then(() => __importStar(require('sharp')))).default;
    const pixelmatch = (await Promise.resolve().then(() => __importStar(require('pixelmatch')))).default;
    const [baselineRaw, currentRaw] = await Promise.all([
        sharp(baselinePath).resize(1280, 720).raw().toBuffer({ resolveWithObject: true }),
        sharp(currentPath).resize(1280, 720).raw().toBuffer({ resolveWithObject: true }),
    ]);
    const { width, height } = baselineRaw.info;
    const diffBuffer = Buffer.alloc(width * height * 4);
    const diffPixels = pixelmatch(baselineRaw.data, currentRaw.data, diffBuffer, width, height, { threshold });
    const totalPixels = width * height;
    const diffPercent = totalPixels > 0 ? diffPixels / totalPixels : 0;
    // Write diff image
    await sharp(diffBuffer, { raw: { width, height, channels: 4 } })
        .png()
        .toFile(diffOutputPath);
    return { diffPixels, diffPercent, hasDiff: diffPixels > 0 };
}
class VisualRegressionCollector {
    constructor(outputDir, repo, config = {}) {
        this.outputDir = outputDir;
        this.repo = repo;
        this.config = { ...exports.DEFAULT_VISUAL_CONFIG, ...config };
    }
    /**
     * Process a screenshot for visual regression.
     * Returns an anomaly if a regression is detected, otherwise null.
     */
    async processScreenshot(screenshotPath, state, sessionId, actionTrace) {
        if (!this.config.enabled)
            return null;
        const comparisonId = crypto.randomUUID();
        const baseline = this.repo.findBaselineByStateId(state.id);
        if (!baseline) {
            // No baseline: create a new_state comparison record
            this.repo.createComparison({
                id: comparisonId,
                sessionId,
                stateId: state.id,
                currentScreenshotPath: screenshotPath,
                status: 'new_state',
            });
            return null;
        }
        // Compare against baseline
        const diffDir = path.join(this.outputDir, 'visual', comparisonId);
        if (!fs.existsSync(diffDir)) {
            fs.mkdirSync(diffDir, { recursive: true });
        }
        const diffPath = path.join(diffDir, 'diff.png');
        let diffPixels = 0;
        let diffPercent = 0;
        try {
            const result = await compareScreenshots(baseline.screenshot_path, screenshotPath, diffPath, this.config.threshold);
            diffPixels = result.diffPixels;
            diffPercent = result.diffPercent;
        }
        catch {
            // If comparison fails (e.g. image format issues), skip
            return null;
        }
        const thresholdPct = this.config.threshold;
        const status = diffPercent > thresholdPct ? 'failed' : 'passed';
        this.repo.createComparison({
            id: comparisonId,
            sessionId,
            stateId: state.id,
            baselineId: baseline.id,
            currentScreenshotPath: screenshotPath,
            diffScreenshotPath: status === 'failed' ? diffPath : undefined,
            diffPixels,
            diffPercent,
            status,
        });
        if (status !== 'failed')
            return null;
        // Determine severity from diff percent
        const pct = diffPercent * 100;
        let severity;
        if (pct > 15)
            severity = 'critical';
        else if (pct > 5)
            severity = 'high';
        else if (pct > 1)
            severity = 'medium';
        else
            severity = 'low';
        const anomaly = {
            id: crypto.randomUUID(),
            type: 'visual_regression',
            severity,
            observationId: state.id,
            actionTrace,
            description: `Visual regression detected: ${(pct).toFixed(2)}% of pixels changed`,
            evidence: {
                screenshotPath: diffPath,
                rawErrors: [`Diff: ${diffPixels} pixels (${(pct).toFixed(2)}%)`],
            },
            timestamp: Date.now(),
        };
        return anomaly;
    }
}
exports.VisualRegressionCollector = VisualRegressionCollector;