feat: add response logger for moderation/vision audit trail + cache model versioning
feat: add response logger for moderation/vision audit trail + cache model versioning
This commit is contained in:
@@ -92,3 +92,10 @@ AUTO_DELETE_ALLOWED_SEVERITIES=critical,high,medium
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# Safe default: run migrations on startup before the app accepts traffic.
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AUTO_MIGRATE_ON_STARTUP=true
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# Cache Model Versioning
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# Bump this version when the vision/LLM model prompt changes significantly.
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# Old cache entries with mismatched versions are automatically ignored, forcing fresh analysis.
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# Format: "v<N>" or "v<N>-<date>-<description>"
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# Example progression: v1 → v2-2026-06-02-terminal-fix → v3-2026-06-15-new-model
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# CACHE_MODEL_VERSION=v2-2026-06-02
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@@ -32,8 +32,17 @@ import {
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makeImageCacheKey,
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makeStickerCacheKey,
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upsertCachedMediaAnalysis,
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VISION_MODEL_VERSION,
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} from "./textCacheStore.js";
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import { extractUrlsFromText, fetchUrlSafely } from "./urlFetcher.js";
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import {
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logVisionAnalysis,
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logCacheEvent,
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logModerationAnalysis,
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logModerationError,
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logVisionError,
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logRetryAttempt,
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} from "./responseLogger.js";
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const SeveritySchema = z.enum(["none", "low", "medium", "high", "critical"]);
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const RecommendedActionSchema = z.enum([
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@@ -786,6 +795,13 @@ async function callModerationLLM(
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`Robust Fallback (${label}): Failed to parse moderation response. Marking all targets as analysis errors.`,
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);
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// Log error with responseLogger
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logModerationError(targetIds, config.AI_LLM_MODEL, parseError, {
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phase: "parse_response",
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label,
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contentLength: state.lastInvalidContent.length,
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});
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// Sanitized error messages — no internal details exposed (R10)
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const errorCode = `MOD_${Date.now().toString(36).slice(0, 6)}`;
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parsed = targetIds.map((id) => ({
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@@ -896,6 +912,21 @@ async function runTextOnlyBatch(
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allResults.push(...batchResult.results);
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if (batchResult.raw) lastRaw = batchResult.raw;
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// Log batch results with comprehensive details
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logModerationAnalysis(
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targetIds,
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config.AI_LLM_MODEL,
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batchResult.results,
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0, // Duration will be tracked at higher level
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batchResult.raw?.usage
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? {
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prompt_tokens: batchResult.raw.usage.prompt_tokens,
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completion_tokens: batchResult.raw.usage.completion_tokens,
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total_tokens: batchResult.raw.usage.total_tokens,
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}
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: undefined,
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);
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}
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log.info(
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@@ -1012,6 +1043,7 @@ async function _runSingleMediaAnalysis(
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{ attachmentId: att.id, cacheKey: attVisionKey },
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"Vision cache HIT for attachment — skipped download",
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);
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logCacheEvent("hit", attVisionKey, "media", VISION_MODEL_VERSION);
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const sourceLabel = `[gambar di atas adalah attachment ${att.filename} dari pesan id=${att.message_id}]`;
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const analysisText = `[Media analysis for message ${att.message_id}] ${sourceLabel}: ${cachedVision}`;
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const existing = mediaAnalysisMap.get(targetId) ?? [];
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@@ -1020,6 +1052,8 @@ async function _runSingleMediaAnalysis(
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return;
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}
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logCacheEvent("miss", attVisionKey, "media", VISION_MODEL_VERSION);
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const controller = new AbortController();
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const timeoutId = setTimeout(() => controller.abort(), 15000);
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@@ -0,0 +1,334 @@
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/**
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* Comprehensive response logging for vision and moderation analysis.
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*
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* Purpose: Capture ALL responses from:
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* - Vision model (image analysis)
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* - LLM moderation (text analysis)
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* - Cache hits/misses
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* - Errors and retries
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*
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* Enables full audit trail and debugging of moderation decisions.
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*/
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import { createChildLogger } from "../../shared/logger/logger.js";
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import type { AnalysisResult } from "../message-capture/types.js";
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const logger = createChildLogger("response-logger");
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export interface VisionAnalysisResponse {
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messageId: string;
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cacheKey: string;
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cached: boolean;
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description: string;
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duration_ms: number;
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timestamp: number;
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}
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export interface ModerationAnalysisResponse {
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messageIds: string[];
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batchSize: number;
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model: string;
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tokenUsage?: {
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prompt_tokens: number;
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completion_tokens: number;
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total_tokens: number;
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};
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results: AnalysisResult[];
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duration_ms: number;
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parseErrors: string[];
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timestamp: number;
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}
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export interface CacheHitEvent {
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type: "hit" | "miss";
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cacheKey: string;
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source: "text" | "media" | "sticker";
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modelVersion: string;
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timestamp: number;
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}
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/**
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* Log a vision model response with full details.
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*/
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export function logVisionAnalysis(
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messageId: string,
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cacheKey: string,
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cached: boolean,
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description: string,
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duration_ms: number,
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): void {
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const response: VisionAnalysisResponse = {
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messageId,
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cacheKey,
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cached,
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description,
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duration_ms,
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timestamp: Date.now(),
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};
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logger.info(
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{
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...response,
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description_length: description.length,
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description_preview: description.substring(0, 200),
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},
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`Vision analysis complete [${cached ? "CACHED" : "FRESH"}] for message ${messageId}`,
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);
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}
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/**
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* Log a moderation LLM response with full batch details.
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*/
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export function logModerationAnalysis(
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messageIds: string[],
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model: string,
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results: AnalysisResult[],
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duration_ms: number,
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tokenUsage?: { prompt_tokens: number; completion_tokens: number; total_tokens: number },
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parseErrors: string[] = [],
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): void {
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const response: ModerationAnalysisResponse = {
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messageIds,
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batchSize: messageIds.length,
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model,
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tokenUsage,
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results: results.map((r) => ({
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messageId: r.messageId,
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status: r.status,
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flags: r.flags ?? [],
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score: r.score,
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severity: r.severity,
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confidence: r.confidence,
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recommendedAction: r.recommendedAction,
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analysis: r.analysis?.substring(0, 200), // Truncate for logs
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})) as AnalysisResult[],
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duration_ms,
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parseErrors,
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timestamp: Date.now(),
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};
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logger.info(
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{
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batch_size: messageIds.length,
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model,
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token_usage: tokenUsage,
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duration_ms,
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parse_errors: parseErrors.length,
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results_summary: {
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clean: results.filter((r) => r.status === "clean").length,
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warn: results.filter((r) => r.status === "warn").length,
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flagged: results.filter((r) => r.status === "flagged").length,
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error: results.filter((r) => r.status === "error").length,
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},
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},
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`Moderation analysis complete for batch of ${messageIds.length} messages`,
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);
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// Log each result individually for detailed audit trail
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results.forEach((result, idx) => {
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const severity = result.severity ?? "none";
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const confidence = result.confidence ?? 0;
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logger.debug(
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{
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index: idx,
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message_id: result.messageId,
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status: result.status,
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flags: result.flags,
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score: result.score,
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severity,
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confidence,
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categories: result.categories,
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recommended_action: result.recommendedAction,
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analysis: result.analysis?.substring(0, 300),
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evidence: result.evidence?.slice(0, 3), // First 3 evidence items
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},
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`[${idx + 1}/${messageIds.length}] Moderation result for message ${result.messageId}: ${result.status} (severity: ${severity}, confidence: ${confidence})`,
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);
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});
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}
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/**
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* Log cache hit/miss event.
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*/
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export function logCacheEvent(
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type: "hit" | "miss",
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cacheKey: string,
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source: "text" | "media" | "sticker",
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modelVersion: string,
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): void {
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const event: CacheHitEvent = {
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type,
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cacheKey,
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source,
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modelVersion,
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timestamp: Date.now(),
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};
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const level = type === "hit" ? "debug" : "debug";
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logger.log(
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{ level },
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{
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cache_type: type.toUpperCase(),
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source,
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key_length: cacheKey.length,
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key_preview: cacheKey.substring(0, 50),
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model_version: modelVersion,
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},
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`Cache ${type.toUpperCase()}: ${source} (version: ${modelVersion})`,
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);
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}
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/**
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* Log vision API error with context.
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*/
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export function logVisionError(
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messageId: string,
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error: Error | string,
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context?: Record<string, any>,
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): void {
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logger.error(
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{
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message_id: messageId,
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error: error instanceof Error ? error.message : String(error),
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stack: error instanceof Error ? error.stack : undefined,
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context,
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},
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`Vision analysis failed for message ${messageId}`,
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);
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}
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/**
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* Log LLM API error with request context.
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*/
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export function logModerationError(
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messageIds: string[],
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model: string,
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error: Error | string,
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context?: Record<string, any>,
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): void {
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logger.error(
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{
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message_ids: messageIds,
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batch_size: messageIds.length,
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model,
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error: error instanceof Error ? error.message : String(error),
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stack: error instanceof Error ? error.stack : undefined,
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context,
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},
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`Moderation analysis failed for batch of ${messageIds.length} messages`,
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);
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}
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/**
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* Log retry event with attempt details.
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*/
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export function logRetryAttempt(
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label: string,
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attempt: number,
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maxRetries: number,
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error: Error | string,
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nextDelayMs: number,
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): void {
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logger.warn(
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{
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label,
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attempt,
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max_retries: maxRetries,
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error: error instanceof Error ? error.message : String(error),
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next_delay_ms: nextDelayMs,
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remaining_attempts: maxRetries - attempt + 1,
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},
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`Retry attempt ${attempt}/${maxRetries} for ${label} (next retry in ${nextDelayMs}ms)`,
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);
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}
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/**
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* Log analysis completion summary (for batch end-of-processing).
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*/
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export function logAnalysisSummary(
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conversationKey: string,
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totalMessages: number,
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successCount: number,
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errorCount: number,
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durationMs: number,
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summary: Record<string, number>,
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): void {
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logger.info(
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{
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conversation_key: conversationKey,
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total_messages: totalMessages,
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success_count: successCount,
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error_count: errorCount,
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duration_ms: durationMs,
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per_message_avg_ms: Math.round(durationMs / totalMessages),
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summary,
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success_rate: ((successCount / totalMessages) * 100).toFixed(1) + "%",
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},
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`Analysis batch complete: ${successCount}/${totalMessages} successful in ${durationMs}ms`,
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);
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}
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/**
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* Log false positive detection (cache version mismatch or incorrect analysis).
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*/
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export function logFalsePositiveDetected(
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messageId: string,
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currentAnalysis: AnalysisResult,
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reason: string,
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context?: Record<string, any>,
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): void {
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logger.warn(
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{
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message_id: messageId,
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status: currentAnalysis.status,
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flags: currentAnalysis.flags,
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score: currentAnalysis.score,
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reason,
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context,
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timestamp: Date.now(),
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},
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`Potential false positive detected: ${reason}`,
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);
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}
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/**
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* Log model version change.
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*/
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export function logModelVersionChange(
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oldVersion: string,
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newVersion: string,
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reason: string,
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): void {
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logger.info(
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{
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old_version: oldVersion,
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new_version: newVersion,
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reason,
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timestamp: Date.now(),
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},
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`Model version changed: ${oldVersion} → ${newVersion} (${reason})`,
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);
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}
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/**
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* Log cache invalidation event.
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*/
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export function logCacheInvalidation(
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source: string,
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oldVersion: string,
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newVersion: string,
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reason: string,
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affectedCount?: number,
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): void {
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logger.info(
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{
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source,
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old_version: oldVersion,
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new_version: newVersion,
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reason,
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affected_count: affectedCount,
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timestamp: Date.now(),
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},
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`Cache invalidation: ${source} entries with version ${oldVersion} will be ignored due to ${reason}`,
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);
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}
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@@ -1,9 +1,84 @@
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import { createHash } from "node:crypto";
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import { execFileSync } from "node:child_process";
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import { executeAll, executeGet } from "../../shared/database/drizzle.js";
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import { createChildLogger } from "../../shared/logger/logger.js";
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import {
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logModelVersionChange,
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logCacheInvalidation,
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} from "./responseLogger.js";
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const logger = createChildLogger("text-cache-store");
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/**
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* Model version for vision/LLM cache entries.
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* Dynamically derived from git branch name to ensure version control.
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*
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* Branch naming convention:
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* - main/master → "main" or "master" (stable, original cache)
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* - feature/terminal-fix → "feature-terminal-fix" (feature branch cache)
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* - hotfix/gambling-false-positive → "hotfix-gambling-false-positive" (hotfix branch cache)
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*
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* Old cache entries with mismatched versions are automatically ignored.
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* This ensures each branch/deployment gets fresh analyses if it changes moderation logic.
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*
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* Fallback: If git branch detection fails, uses environment variable or defaults to "v1".
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*/
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function getVisionModelVersion(): string {
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try {
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// Get current git branch name using execFileSync (safe, no shell injection)
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const branch = execFileSync("git", ["rev-parse", "--abbrev-ref", "HEAD"], {
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encoding: "utf-8",
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})
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.trim()
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.toLowerCase();
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if (!branch || branch === "head") {
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// Detached HEAD state — use commit hash prefix
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const commit = execFileSync("git", ["rev-parse", "--short", "HEAD"], {
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encoding: "utf-8",
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})
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.trim()
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.toLowerCase();
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return `commit-${commit}`;
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}
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// Normalize branch name: replace slashes with hyphens, remove special chars
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const normalized = branch
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.replace(/[^a-z0-9-]/g, "-") // Replace non-alphanumeric with hyphens
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.replace(/-+/g, "-") // Collapse multiple hyphens
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.replace(/^-|-$/g, ""); // Remove leading/trailing hyphens
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return normalized || "v1";
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} catch (error) {
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// Fallback to environment variable if git fails
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const envVersion = process.env.CACHE_MODEL_VERSION;
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if (envVersion) {
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logger.info({ version: envVersion }, "Using CACHE_MODEL_VERSION from env");
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return envVersion;
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}
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// Last resort: use stable default
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logger.warn(
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{
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error: error instanceof Error ? error.message : String(error),
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},
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"Failed to detect git branch for cache version, using fallback 'v1'",
|
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);
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return "v1";
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}
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}
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/**
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* Get the current vision model version (cached at module load time).
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* Version is derived from git branch name and remains constant for this process.
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*/
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export const VISION_MODEL_VERSION = getVisionModelVersion();
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logger.info({ version: VISION_MODEL_VERSION }, "Vision model version initialized");
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|
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// Track version for invalidation logging
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let previousVersion = VISION_MODEL_VERSION;
|
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|
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export interface TextCacheEntry {
|
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text: string;
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flags: string[];
|
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@@ -15,17 +90,17 @@ export interface TextCacheEntry {
|
||||
|
||||
/**
|
||||
* Lookup cached analysis result for a normalized text string.
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* Returns null if not found or expired.
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* Returns null if not found, expired, or model version mismatch.
|
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*/
|
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export async function getCachedText(
|
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text: string,
|
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): Promise<TextCacheEntry | null> {
|
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try {
|
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const row = await executeGet(
|
||||
`SELECT text, flags, source, analyzed_at, expires_at, hit_count
|
||||
`SELECT text, flags, source, analyzed_at, expires_at, hit_count, model_version
|
||||
FROM text_analysis_cache
|
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WHERE text = $1 AND expires_at > $2`,
|
||||
[text, Date.now()],
|
||||
WHERE text = $1 AND expires_at > $2 AND model_version = $3`,
|
||||
[text, Date.now(), VISION_MODEL_VERSION],
|
||||
);
|
||||
|
||||
if (!row) return null;
|
||||
@@ -48,7 +123,7 @@ export async function getCachedText(
|
||||
}
|
||||
|
||||
/**
|
||||
* Insert or update a text analysis cache entry.
|
||||
* Insert or update a text analysis cache entry with model version.
|
||||
*/
|
||||
export async function upsertCachedText(
|
||||
text: string,
|
||||
@@ -60,14 +135,15 @@ export async function upsertCachedText(
|
||||
|
||||
try {
|
||||
await executeAll(
|
||||
`INSERT INTO text_analysis_cache (text, flags, source, analyzed_at, expires_at, hit_count)
|
||||
VALUES ($1, $2, $3, $4, $5, 0)
|
||||
`INSERT INTO text_analysis_cache (text, flags, source, analyzed_at, expires_at, hit_count, model_version)
|
||||
VALUES ($1, $2, $3, $4, $5, 0, $6)
|
||||
ON CONFLICT (text) DO UPDATE SET
|
||||
flags = EXCLUDED.flags,
|
||||
source = EXCLUDED.source,
|
||||
analyzed_at = EXCLUDED.analyzed_at,
|
||||
expires_at = EXCLUDED.expires_at`,
|
||||
[text, JSON.stringify(flags), source, now, expiresAt],
|
||||
expires_at = EXCLUDED.expires_at,
|
||||
model_version = EXCLUDED.model_version`,
|
||||
[text, JSON.stringify(flags), source, now, expiresAt, VISION_MODEL_VERSION],
|
||||
);
|
||||
} catch (error) {
|
||||
logger.error(
|
||||
@@ -183,17 +259,17 @@ export function makeImageCacheKey(dataUrl: string): string {
|
||||
|
||||
/**
|
||||
* Lookup a cached media analysis result.
|
||||
* Returns the full cached text (the analysis summary string) or null.
|
||||
* Returns the full cached text (the analysis summary string) or null if not found, expired, or version mismatch.
|
||||
*/
|
||||
export async function getCachedMediaAnalysis(
|
||||
cacheKey: string,
|
||||
): Promise<string | null> {
|
||||
try {
|
||||
const row = await executeGet(
|
||||
`SELECT flags, hit_count
|
||||
`SELECT flags, hit_count, model_version
|
||||
FROM text_analysis_cache
|
||||
WHERE text = $1 AND expires_at > $2`,
|
||||
[cacheKey, Date.now()],
|
||||
WHERE text = $1 AND expires_at > $2 AND model_version = $3`,
|
||||
[cacheKey, Date.now(), VISION_MODEL_VERSION],
|
||||
);
|
||||
|
||||
if (!row) return null;
|
||||
@@ -211,7 +287,7 @@ export async function getCachedMediaAnalysis(
|
||||
}
|
||||
|
||||
/**
|
||||
* Store a media analysis result in the cache.
|
||||
* Store a media analysis result in the cache with model version tracking.
|
||||
*/
|
||||
export async function upsertCachedMediaAnalysis(
|
||||
cacheKey: string,
|
||||
@@ -223,14 +299,15 @@ export async function upsertCachedMediaAnalysis(
|
||||
|
||||
try {
|
||||
await executeAll(
|
||||
`INSERT INTO text_analysis_cache (text, flags, source, analyzed_at, expires_at, hit_count)
|
||||
VALUES ($1, $2, $3, $4, $5, 0)
|
||||
`INSERT INTO text_analysis_cache (text, flags, source, analyzed_at, expires_at, hit_count, model_version)
|
||||
VALUES ($1, $2, $3, $4, $5, 0, $6)
|
||||
ON CONFLICT (text) DO UPDATE SET
|
||||
flags = EXCLUDED.flags,
|
||||
source = EXCLUDED.source,
|
||||
analyzed_at = EXCLUDED.analyzed_at,
|
||||
expires_at = EXCLUDED.expires_at`,
|
||||
[cacheKey, JSON.stringify(analysisResult), source, now, expiresAt],
|
||||
expires_at = EXCLUDED.expires_at,
|
||||
model_version = EXCLUDED.model_version`,
|
||||
[cacheKey, JSON.stringify(analysisResult), source, now, expiresAt, VISION_MODEL_VERSION],
|
||||
);
|
||||
} catch (error) {
|
||||
logger.error(
|
||||
|
||||
+24
@@ -0,0 +1,24 @@
|
||||
-- Migration: Add model_version column to text_analysis_cache table
|
||||
-- Purpose: Track which vision/LLM model version produced each cache entry
|
||||
-- Reason: Invalidate old cache entries when model prompts change (e.g., terminal screenshot false positive fix)
|
||||
-- Date: 2026-06-02
|
||||
|
||||
BEGIN;
|
||||
|
||||
-- Add model_version column with default value
|
||||
ALTER TABLE text_analysis_cache
|
||||
ADD COLUMN model_version VARCHAR(50) NOT NULL DEFAULT 'v1';
|
||||
|
||||
-- Create index for efficient filtering by model version
|
||||
CREATE INDEX idx_text_analysis_cache_model_version
|
||||
ON text_analysis_cache(model_version);
|
||||
|
||||
-- Create composite index for source + model_version queries (common pattern)
|
||||
CREATE INDEX idx_text_analysis_cache_source_model_version
|
||||
ON text_analysis_cache(source, model_version);
|
||||
|
||||
-- Optional: Clean up old vision_llm entries that may have stale/incorrect analysis
|
||||
-- Uncomment to remove all old vision analysis cache on deployment:
|
||||
-- DELETE FROM text_analysis_cache WHERE source = 'vision_llm' AND model_version = 'v1';
|
||||
|
||||
COMMIT;
|
||||
@@ -361,6 +361,9 @@ export const pgRetentionPoliciesTable = pgTable(
|
||||
*
|
||||
* Uses the FULL normalized text (not per-word) because context matters:
|
||||
* "kau" alone is clean, but "awas kau" can be a threat.
|
||||
*
|
||||
* model_version tracks the vision/LLM model version that produced this cache entry.
|
||||
* On model updates, bump the version to invalidate all old cache entries automatically.
|
||||
*/
|
||||
export const pgTextAnalysisCacheTable = pgTable(
|
||||
"text_analysis_cache",
|
||||
@@ -381,12 +384,20 @@ export const pgTextAnalysisCacheTable = pgTable(
|
||||
expires_at: pgBigint("expires_at", { mode: "number" }).notNull(),
|
||||
/** How many times this cached text has been reused. */
|
||||
hit_count: pgInteger("hit_count").notNull().default(0),
|
||||
/** Model version that produced this cache entry (e.g. "v1", "v2-2026-06-02"). Mismatched versions are ignored. */
|
||||
model_version: pgText("model_version").notNull().default("v1"),
|
||||
},
|
||||
(table) => ({
|
||||
expiresAtIdx: pgIndex("idx_text_analysis_cache_expires_at").on(
|
||||
table.expires_at,
|
||||
),
|
||||
sourceIdx: pgIndex("idx_text_analysis_cache_source").on(table.source),
|
||||
modelVersionIdx: pgIndex("idx_text_analysis_cache_model_version").on(
|
||||
table.model_version,
|
||||
),
|
||||
sourceModelVersionIdx: pgIndex(
|
||||
"idx_text_analysis_cache_source_model_version",
|
||||
).on(table.source, table.model_version),
|
||||
}),
|
||||
);
|
||||
|
||||
|
||||
Reference in New Issue
Block a user