Merge branch worktree-neo-surveillance-redesign into main — Neo Surveillance redesign

Full frontend redesign with glassmorphic dark theme, floating top nav,
Live2D mascot, split-pane messages, and Ops Center dashboard.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com
This commit is contained in:
Developer
2026-07-28 14:32:47 +07:00
co-authored by Claude Opus 4.8 (1M context) <noreply@anthropic.com
parent 102b3bac1f
commit 3f4fa42098
25 changed files with 2102 additions and 96 deletions
@@ -0,0 +1,500 @@
/**
* ai-analysis-worker.ts
*
* Two-pass AI moderation analysis worker (Piscina-compatible).
*
* ## Pipeline
*
* Message → Layer 1 (fast classifier / heuristic)
* │
* ├─ clear match → final result (no LLM call)
* └─ ambiguous → Layer 2 (LLM evaluator)
*
* Layer 1 runs synchronously in-memory. Layer 2 calls the LLM API via
* the existing moderation pipeline (moderationOrchestrator).
*
* This file replaces the old `aiAnalysisWorker.ts` (archived) with a
* simpler, unified worker that combines both layers.
*/
import { createChildLogger } from "@bete/shared/logger";
import { config } from "../../shared/config/config.js";
import { initializeDatabase } from "../../shared/database/drizzle.js";
import { messageStore } from "../message-capture/messageStore.js";
import type { MessageRecord } from "../message-capture/types.js";
import { buildConversationContext } from "./conversationContext.js";
import { classifyMessage } from "./fastClassifier.js";
import type { Layer1Result } from "./fastClassifier.js";
import { runModerationAnalysis } from "./moderationOrchestrator.js";
const logger = createChildLogger("ai-analysis-worker");
let dbInitialized = false;
let dbInitPromise: Promise<unknown> | null = null;
async function ensureDb(): Promise<void> {
if (dbInitialized) return;
if (!dbInitPromise) {
dbInitPromise = initializeDatabase().then(() => {
dbInitialized = true;
});
}
await dbInitPromise;
}
// ---------------------------------------------------------------------------
// Types
// ---------------------------------------------------------------------------
export interface AnalysisInput {
batch: MessageBatch;
config: WorkerConfig;
}
export interface AnalysisResult {
messageId: string;
status: "clean" | "warn" | "flagged" | "error";
flags: string[];
categories: string[];
severity: "none" | "low" | "medium" | "high" | "critical";
confidence: number;
recommendedAction:
| "none"
| "monitor"
| "warn"
| "review"
| "delete"
| "escalate";
toxicityScore: number;
harmScore: number;
jailbreakScore: number;
safetyScore: number;
explanation: string;
correctedFlags?: string[];
}
export interface WorkerConfig {
aiLlmApiKey: string;
aiLlmBaseUrl: string;
aiLlmModel: string;
aiLlmTimeoutMs: number;
}
export interface MessageBatch {
conversationKey: string;
messages: MessageRecord[];
contextMessages: string[];
}
// Worker job types (Piscina entry point)
type WorkerJob =
| { type: "batch"; conversationKey: string; messages: MessageRecord[] }
| {
type: "individual";
message: MessageRecord;
skipNormalAnalysis: boolean;
};
type BatchOkResponse = {
ok: true;
conversationKey: string;
rows: MessageRecord[];
};
type BatchErrorResponse = {
ok: false;
conversationKey: string;
rows: MessageRecord[];
error: string;
};
type IndividualOkResponse = { ok: true; results: AnalysisResult[] };
type IndividualErrorResponse = {
ok: false;
results: AnalysisResult[];
error: string;
};
type WorkerResponse =
| BatchOkResponse
| BatchErrorResponse
| IndividualOkResponse
| IndividualErrorResponse;
// ---------------------------------------------------------------------------
// Default export — Piscina worker entry point
// ---------------------------------------------------------------------------
export default async function workerRouter(
job: WorkerJob,
): Promise<WorkerResponse> {
if (!config.AI_LLM_API_KEY) {
const errorMsg =
"AI_LLM_API_KEY is missing from environment. Worker cannot process moderation requests without credentials.";
logger.error({ error: errorMsg }, "AI_LLM_API_KEY is missing from environment");
if (job.type === "batch") {
return {
ok: false,
conversationKey: job.conversationKey,
rows: [],
error: errorMsg,
};
}
return { ok: false, results: [], error: errorMsg };
}
try {
await ensureDb();
} catch (dbError) {
const msg = dbError instanceof Error ? dbError.message : String(dbError);
if (job.type === "batch") {
return {
ok: false,
conversationKey: job.conversationKey,
rows: [],
error: `Database init failed: ${msg}`,
};
}
return {
ok: false,
results: [],
error: `Database init failed: ${msg}`,
};
}
try {
if (job.type === "batch") {
return await processBatch(job);
}
return await processIndividual(job);
} catch (error) {
const errorMessage = error instanceof Error ? error.message : String(error);
const errorStack = error instanceof Error ? error.stack : undefined;
logger.error(
{ type: job.type, error: errorMessage, stack: errorStack },
"Worker job failed",
);
if (job.type === "batch") {
return {
ok: false,
conversationKey: job.conversationKey,
rows: [],
error: errorMessage,
};
}
return { ok: false, results: [], error: errorMessage };
}
}
// ---------------------------------------------------------------------------
// Two-pass pipeline
// ---------------------------------------------------------------------------
/**
* Runs the two-pass pipeline on a single message:
* 1. Layer 1 — fast heuristic classifier
* 2. Layer 2 (if cascade) — LLM-based evaluator
*
* Returns the combined AnalysisResult.
*/
async function runTwoPassPipeline(
message: MessageRecord,
contextText: string,
attachments: Awaited<ReturnType<typeof messageStore.getAttachmentsForMessages>>,
): Promise<AnalysisResult> {
// ── Layer 1: Fast classifier ──────────────────────────────────────────
const layer1Result: Layer1Result = classifyMessage(message);
logger.debug(
{
messageId: message.id,
layer1Flags: layer1Result.flags,
cascade: layer1Result.cascadeToLayer2,
},
"Layer 1 classification complete",
);
if (!layer1Result.cascadeToLayer2) {
// Layer 1 result is final — no LLM call needed
return buildResultFromLayer1(message.id, layer1Result);
}
// ── Layer 2: LLM-based evaluation ─────────────────────────────────────
try {
const moderationResult = await runModerationAnalysis({
targets: [message],
contextText,
attachments,
});
if (moderationResult.results.length === 0) {
return buildFallbackResult(message.id, "No LLM result returned");
}
const llmResult = moderationResult.results[0];
return mergeLayers(layer1Result, llmResult);
} catch (error) {
const errorMsg = error instanceof Error ? error.message : String(error);
logger.warn(
{ messageId: message.id, error: errorMsg },
"Layer 2 (LLM) analysis failed — falling back to Layer 1 result",
);
// Fallback to Layer 1 with reduced confidence
const fallback = buildResultFromLayer1(message.id, layer1Result);
fallback.confidence = Math.min(fallback.confidence, 0.4);
return fallback;
}
}
// ---------------------------------------------------------------------------
// Result builders
// ---------------------------------------------------------------------------
function buildResultFromLayer1(
messageId: string,
layer1: Layer1Result,
): AnalysisResult {
const status = layer1.severity === "none" ? "clean" as const : "flagged" as const;
const recommendedAction = mapSeverityToAction(layer1.severity);
return {
messageId,
status,
flags: layer1.flags,
categories: layer1.flags,
severity: layer1.severity === "high" ? "high" as const : layer1.severity === "medium" ? "medium" as const : "low" as const,
confidence: layer1.confidence,
recommendedAction,
toxicityScore: layer1.toxicityScore,
harmScore: layer1.harmScore,
jailbreakScore: 0,
safetyScore: 0,
explanation: layer1.explanation,
};
}
function buildFallbackResult(
messageId: string,
reason: string,
): AnalysisResult {
return {
messageId,
status: "error",
flags: ["analysis_incomplete"],
categories: ["analysis_incomplete"],
severity: "none",
confidence: 0,
recommendedAction: "review",
toxicityScore: 0,
harmScore: 0,
jailbreakScore: 0,
safetyScore: 0,
explanation: reason,
};
}
function mergeLayers(
layer1: Layer1Result,
llmResult: AnalysisResult,
): AnalysisResult {
// Merge flags from both layers (deduplicate)
const flagSet = new Set<string>([...layer1.flags, ...(llmResult.flags || [])]);
// Take the max severity
const severityOrder = ["none", "low", "medium", "high", "critical"] as const;
const l1Idx = severityOrder.indexOf(layer1.severity);
const l2Idx = severityOrder.indexOf(
(llmResult.severity ?? "none") as (typeof severityOrder)[number],
);
const finalSeverity = severityOrder[Math.max(l1Idx, l2Idx)];
// Combined confidence: weighted average favoring LLM when available
const combinedConfidence =
0.3 * layer1.confidence + 0.7 * (llmResult.confidence ?? 0.5);
// Combine scores (take max per dimension)
const toxicityScore = Math.max(
layer1.toxicityScore,
llmResult.toxicityScore ?? 0,
);
const harmScore = Math.max(layer1.harmScore, llmResult.harmScore ?? 0);
return {
messageId: llmResult.messageId,
status: llmResult.status === "error" ? "error" as const : llmResult.status ?? "clean" as const,
flags: Array.from(flagSet),
categories: [
...new Set([
...layer1.flags,
...(llmResult.categories ?? []),
]),
],
severity: finalSeverity,
confidence: Math.min(combinedConfidence, 1),
recommendedAction: llmResult.recommendedAction ?? mapSeverityToAction(finalSeverity),
toxicityScore,
harmScore,
jailbreakScore: llmResult.jailbreakScore ?? 0,
safetyScore: llmResult.safetyScore ?? 0,
explanation: llmResult.explanation ?? layer1.explanation,
};
}
function mapSeverityToAction(
severity: "none" | "low" | "medium" | "high" | "critical",
): AnalysisResult["recommendedAction"] {
switch (severity) {
case "none":
return "none";
case "low":
return "monitor";
case "medium":
return "review";
case "high":
return "delete";
case "critical":
return "escalate";
}
}
// ---------------------------------------------------------------------------
// Batch handler
// ---------------------------------------------------------------------------
async function processBatch(job: {
type: "batch";
conversationKey: string;
messages: MessageRecord[];
}): Promise<BatchOkResponse | BatchErrorResponse> {
const { conversationKey, messages } = job;
const firstMessage = messages[0];
if (!firstMessage) return { ok: true, conversationKey, rows: [] };
// Fetch context
const contextBefore = await messageStore.getConversationContextBefore({
channelId: firstMessage.channel_id,
threadId: firstMessage.thread_id,
beforeCreatedAt: firstMessage.created_at,
limit: config.AI_ANALYSIS_CONTEXT_MESSAGE_LIMIT,
});
const contextLines = buildConversationContext({
contextBefore,
targets: messages,
maxTokens: config.AI_ANALYSIS_MAX_CONTEXT_TOKENS,
});
const contextText = contextLines.join("\n");
// Fetch attachments
const targetIds = messages.map((m) => m.id);
const contextIds = contextBefore.map((m) => m.id);
const allMessageIds = [...targetIds, ...contextIds];
const attachments =
await messageStore.getAttachmentsForMessages(allMessageIds);
// Run two-pass pipeline for each message
const analysisResults = await Promise.all(
messages.map(async (msg) => {
try {
return await runTwoPassPipeline(msg, contextText, attachments);
} catch (error) {
const errorMsg = error instanceof Error ? error.message : String(error);
logger.error(
{ messageId: msg.id, error: errorMsg },
"Two-pass pipeline failed for message",
);
return buildFallbackResult(msg.id, errorMsg);
}
}),
);
// Save results to DB
const updates = analysisResults.map((result) => ({
messageId: result.messageId,
result: {
status: result.status,
flags: JSON.stringify(result.flags),
score: result.toxicityScore,
analysis: result.explanation,
categories: result.categories,
severity: result.severity,
confidence: result.confidence,
recommendedAction: result.recommendedAction,
analyzedAt: Date.now(),
error: result.status === "error" ? result.explanation : null,
},
}));
let allRows: MessageRecord[] = [];
if (updates.length > 0) {
allRows = await messageStore.updateMessagesAIAnalysisBulk(updates);
}
logger.info(
{
total: messages.length,
saved: allRows.length,
conversationKey,
},
"Two-pass batch analysis complete",
);
return { ok: true, conversationKey, rows: allRows };
}
// ---------------------------------------------------------------------------
// Individual fallback handler
// ---------------------------------------------------------------------------
async function processIndividual(job: {
type: "individual";
message: MessageRecord;
skipNormalAnalysis: boolean;
}): Promise<IndividualOkResponse | IndividualErrorResponse> {
const { message, skipNormalAnalysis } = job;
if (skipNormalAnalysis) {
// Use Layer 1 only (fast)
const layer1Result = classifyMessage(message);
if (!layer1Result.cascadeToLayer2) {
// Layer 1 is sufficient
return {
ok: true,
results: [buildResultFromLayer1(message.id, layer1Result)],
};
}
}
// Full analysis (context + two-pass)
const contextBefore = await messageStore.getConversationContextBefore({
channelId: message.channel_id,
threadId: message.thread_id,
beforeCreatedAt: message.created_at,
limit: config.AI_ANALYSIS_CONTEXT_MESSAGE_LIMIT,
});
const contextLines = buildConversationContext({
contextBefore,
targets: [message],
maxTokens: config.AI_ANALYSIS_MAX_CONTEXT_TOKENS,
});
const contextText = contextLines.join("\n");
const contextIds = contextBefore.map((m) => m.id);
const attachments = await messageStore.getAttachmentsForMessages([
message.id,
...contextIds,
]);
try {
const result = await runTwoPassPipeline(message, contextText, attachments);
return { ok: true, results: [result] };
} catch (error) {
const errorMsg = error instanceof Error ? error.message : String(error);
logger.error(
{ messageId: message.id, error: errorMsg },
"Individual two-pass analysis failed",
);
return { ok: true, results: [buildFallbackResult(message.id, errorMsg)] };
}
}
@@ -11,9 +11,9 @@ import type { MessageRecord } from "../message-capture/types.js";
function getAnalysisWorkerUrl(): URL {
const candidates = [
new URL("./aiAnalysisWorker.js", import.meta.url),
new URL("../aiAnalysisWorker.js", import.meta.url),
new URL("./aiAnalysisWorker.ts", import.meta.url),
new URL("./ai-analysis-worker.js", import.meta.url),
new URL("../ai-analysis-worker.js", import.meta.url),
new URL("./ai-analysis-worker.ts", import.meta.url),
];
for (const candidate of candidates) {
@@ -0,0 +1,399 @@
/**
* fastClassifier.ts
*
* Layer 1 — Synchronous heuristic classifier for the two-pass moderation pipeline.
* Runs BEFORE any LLM call. Catches obvious spam, NSFW patterns, repeated characters,
* and other low-hanging fruit with zero network cost.
*
* When a strong heuristic match is found, `cascadeToLayer2` is `false` and the
* result is used as the final verdict. Otherwise the message proceeds to the LLM.
*/
import type { MessageRecord } from "../message-capture/types.js";
// ---------------------------------------------------------------------------
// Types
// ---------------------------------------------------------------------------
export interface Layer1Result {
flags: string[];
severity: "none" | "low" | "medium" | "high";
toxicityScore: number;
harmScore: number;
cascadeToLayer2: boolean;
confidence: number;
explanation: string;
}
// ---------------------------------------------------------------------------
// Pattern definitions
// ---------------------------------------------------------------------------
interface Pattern {
name: string;
test: (content: string, mentions: number) => boolean;
severity: "low" | "medium" | "high";
score: number; // contribution to toxicity/harm score
category: "toxicity" | "harm" | "spam" | "safety";
}
// ── Zalgo / zero-width detection ─────────────────────────────────────────
const ZALGO_RE =
/[̀-ͯ҃-҉ؐ-ًؚ-ٰٟۖ-ۜ۟-ۤۧ-۪ۨ-ܑۭܰ-݊ަ-ްँ-ः़ा-्॑-॔ॢ-ॣঁ-ঃ়া-ৄে-ৈো-্ৗৢ-ৣ৾ਁ-ਃ਼ਾ-ੂੇ-ੈੋ-੍ੑੰ-ੱੵઁ-ઃ઼ા-ૅે-ૉો-્ૢ-ૣૺ-૿ଁ-ଃ଼ା-ୄେ-ୈୋ-୍ୖ-ୗୢ-ୣஂா-ூெ-ைொ-்ௗఀ-ఃా-ౄె-ైొ-్ౕ-ౖౢ-ౣಁ-ಃ಼ಾ-ೄೆ-ೈೊ-್ೕ-ೖೢ-ೣഀ-ഃ഻-഼ാ-ൄെ-ൈൊ-്ൗൢ-ൣඁ-ඃ්ා-ුූෘ-ෟෲ-ෳัิ-ฺ็-๎ັິ-ູົ-ຼ່-ໍ༘-༹༙༵༷༾-༿ཱ-྄྆-྇ྍ-ྗྙ-ྼ࿆ါ-ှၖ-ၙၞ-ၠၢ-ၤၧ-ၭၱ-ၴႂ-ႍႏႚ-ႝ፝-፟ᜒ-᜔ᜲ-᜴ᝒ-ᝓᝲ-ᝳ឴-៓៝᠋-᠍ᢩᤠ-ᤫᤰ-᤻ᨗ-ᨛᩕ-ᩞ᩠-᩿᩼᪰-᪾ᬀ-ᬄ᬴-᭄᭫-᭳ᮀ-ᮁᮢ-ᮥᮨ-ᮩ᮫-ᮭ᯦-᯳ᰤ-᰷᳐-᳔᳒-᳨᳭ᳲ-᳴᳷-᳹᷀-᷿​-‏
-  -⃐-⃰⳯-⵿⳱ⷠ-〪ⷿ-゙〯-゚꙯-꙲ꙴ-꙽ꚞ-ꚟ꛰-꛱ꠂ꠆ꠋꠣ-ꠧ꠬ꢀ-ꢁꢴ-ꣅ꣠-꣱ꣿ-꤉ꤦ-꤭ꥇ-꥓ꥠ-ꥼꦀ-ꦃ꦳-꧀ꧥꨩ-ꨶꩃꩌꩍꩻ-ꩽꪰꪲ-ꪴꪷ-ꪸꪾ-꪿꫁ꫫ-ꫯꫵ-꫶ꯣ-ꯪ꯬꯭ﬞ︀-️︠-︯-]|­|͏|؜ ----\U000e0001\U000e0020-\U000e007f/;
const ZERO_WIDTH_RE = /[-­؜]/;
// ── URL / invite / phone / email / crypto patterns ─────────────────────
const URL_RE = /https?:\/\/[^\s"]+/gi;
const INVITE_RE = /(?:discord\.(?:gg|com\/invite)|dsc\.gg)\/[a-zA-Z0-9_-]+/gi;
const INVITE_CODE_RE = /(?:^|\s)([a-zA-Z0-9_-]{6,12})(?:\s|$)/g;
const PHONE_RE =
/(?:\+?\d{1,3}[-.\s]?)?\(?\d{2,4}\)?[-.\s]?\d{3,4}[-.\s]?\d{3,4}/g;
const EMAIL_RE = /[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}/gi;
const CRYPTO_RE =
/(?:0x[a-fA-F0-9]{40}|bc1[a-z0-9]{39,59}|1[a-km-zA-HJ-NP-Z1-9]{25,34}|3[a-km-zA-HJ-NP-Z1-9]{25,34})/g;
const IP_RE = /\b\d{1,3}\.\d{1,3}\.\d{1,3}\.\d{1,3}\b/g;
// ── Spam / low-quality patterns ─────────────────────────────────────────
const REPEATED_CHAR_RE = /(.)\1{8,}/; // 9+ repeated chars
const REPEATED_WORD_RE = /\b(\w{3,})\b\s*\b\1\b\s*\b\1\b/; // same word 3x
const EXCESSIVE_CAPS_RE = /[A-Z]{6,}/;
const EXCESSIVE_EMOJI_RE =
/[\u{1F300}-\u{1F9FF}\u{2600}-\u{26FF}\u{2700}-\u{27BF}]/gu;
const BASE64_RE =
/^(?:[A-Za-z0-9+/]{4})*(?:[A-Za-z0-9+/]{2}==|[A-Za-z0-9+/]{3}=)?$/;
const PHISHING_RE =
/(?:free\s*(?:nitro|gift|prime|steam|vbucks?)|click\s*(?:here|this)\s*(?:to|for)\s*(?:claim|win|verify)|login\s*:\s*\w+\s*password\s*:\s*\w+)/gi;
// ── Toxicity patterns ───────────────────────────────────────────────────
const HARASSMENT_RE =
/\b(?:fuck|shit|asshole|bitch|dickhead|cunt|motherfucker|bastard|piss\s*off|screw\s*you|go\s*(?:to\s*)?hell|kys|kill\s*(?:yourself| urself))\b/i;
const HATE_SPEECH_RE =
/\b(?:nazi|white\s*supremacy|heil|racial\s*purity|race\s*war)\b/i;
// ── Harm patterns ───────────────────────────────────────────────────────
const SELF_HARM_RE =
/\b(?:kill\s*(?:myself|me)|end\s*(?:my|the)\s*(?:life|own)|suicide|want\s*(?:to\s*)?die|cut\s*(?:myself|my\s*wrists)|harm\s*myself)\b/i;
const VIOLENCE_RE =
/\b(?:shoot|stab|bomb|massacre|terrorist|behead|torture|murder)\b/i;
// ── Safety patterns ─────────────────────────────────────────────────────
const PERSONAL_INFO_RE =
/\b(?:\d{3}-\d{2}-\d{4}|(?:\d{3}\s?){2}\d{4})\b/; // SSN / IDs
const SEXTORTION_RE =
/\b(?:nudes?\s*(?:pic|photo|video|send|trade)|cp\s*(?:content|link|loli|shotacon)|underage|minor\s*(?:girl|boy|content))\b/i;
const GROOMING_RE =
/\b(?:how\s*old\s*are\s*you|are\s*you\s*(?:alone|home\s*alone)|dm\s*me\s*(?:baby|honey|sweetie|cutie)|send\s*(?:nudes|pics))\b/i;
// ── Mass-mention patterns ───────────────────────────────────────────────
const EVERYONE_MENTION = /@everyone/g;
const HERE_MENTION = /@here/g;
const ROLE_MENTION = /<@&(\d+)>/g;
// ── Pattern registry (ordered roughly by specificity) ───────────────────
const PATTERNS: Pattern[] = [
// ── High severity ─────────────────────────────────────────────────
{
name: "self_harm",
test: (c) => SELF_HARM_RE.test(c),
severity: "high",
score: 0.9,
category: "harm",
},
{
name: "violence_threat",
test: (c) => VIOLENCE_RE.test(c),
severity: "high",
score: 0.85,
category: "harm",
},
{
name: "sextortion",
test: (c) => SEXTORTION_RE.test(c),
severity: "high",
score: 0.95,
category: "safety",
},
{
name: "grooming",
test: (c) => GROOMING_RE.test(c),
severity: "high",
score: 0.9,
category: "safety",
},
{
name: "hate_speech",
test: (c) => HATE_SPEECH_RE.test(c),
severity: "high",
score: 0.85,
category: "toxicity",
},
{
name: "harassment",
test: (c) => HARASSMENT_RE.test(c),
severity: "medium",
score: 0.6,
category: "toxicity",
},
{
name: "phishing",
test: (c) => PHISHING_RE.test(c),
severity: "high",
score: 0.85,
category: "harm",
},
// ── Spam / low quality ────────────────────────────────────────────
{
name: "mass_everyone_mention",
test: (_c, mentions) => mentions >= 3,
severity: "medium",
score: 0.65,
category: "spam",
},
{
name: "excessive_caps",
test: (c) => {
const caps = (c.match(EXCESSIVE_CAPS_RE) || []).join("");
return caps.length > 0 && caps.length / Math.max(c.length, 1) > 0.5;
},
severity: "low",
score: 0.3,
category: "spam",
},
{
name: "repeated_characters",
test: (c) => REPEATED_CHAR_RE.test(c),
severity: "low",
score: 0.25,
category: "spam",
},
{
name: "repeated_words",
test: (c) => REPEATED_WORD_RE.test(c),
severity: "low",
score: 0.25,
category: "spam",
},
{
name: "zalgo_text",
test: (c) => ZALGO_RE.test(c) || ZERO_WIDTH_RE.test(c),
severity: "medium",
score: 0.6,
category: "spam",
},
{
name: "excessive_emojis",
test: (c) => {
const emojiCount = (c.match(EXCESSIVE_EMOJI_RE) || []).length;
const textLen = c.replace(EXCESSIVE_EMOJI_RE, "").trim().length;
return emojiCount >= 5 && textLen < emojiCount;
},
severity: "low",
score: 0.2,
category: "spam",
},
{
name: "base64_gibberish",
test: (c) => c.length >= 20 && BASE64_RE.test(c.trim()),
severity: "low",
score: 0.2,
category: "spam",
},
// ── Medium severity ───────────────────────────────────────────────
{
name: "personal_info",
test: (c) => PERSONAL_INFO_RE.test(c),
severity: "medium",
score: 0.6,
category: "safety",
},
{
name: "discord_invite",
test: (c) => INVITE_RE.test(c),
severity: "low",
score: 0.2,
category: "spam",
},
{
name: "url_only",
test: (c) => {
const urls = c.match(URL_RE);
if (!urls) return false;
const textWithoutUrls = c.replace(URL_RE, "").trim();
return urls.length >= 3 && textWithoutUrls.length === 0;
},
severity: "low",
score: 0.25,
category: "spam",
},
{
name: "phone_number",
test: (c) => PHONE_RE.test(c),
severity: "medium",
score: 0.5,
category: "safety",
},
{
name: "email_address",
test: (c) => EMAIL_RE.test(c),
severity: "low",
score: 0.3,
category: "safety",
},
{
name: "crypto_address",
test: (c) => CRYPTO_RE.test(c),
severity: "medium",
score: 0.5,
category: "spam",
},
{
name: "ip_address_sharing",
test: (c) => IP_RE.test(c),
severity: "low",
score: 0.3,
category: "safety",
},
];
// ---------------------------------------------------------------------------
// Pattern matcher — count mentions
// ---------------------------------------------------------------------------
function countMentions(content: string): number {
let count = 0;
const everyoneMatches = content.match(EVERYONE_MENTION);
if (everyoneMatches) count += everyoneMatches.length;
const hereMatches = content.match(HERE_MENTION);
if (hereMatches) count += hereMatches.length;
const roleMatches = content.match(ROLE_MENTION);
if (roleMatches) count += roleMatches.length;
return count;
}
// ---------------------------------------------------------------------------
// Main classifier
// ---------------------------------------------------------------------------
/**
* Runs Layer 1 heuristic classification on a message.
* Returns a `Layer1Result` with matched flags and a decision on
* whether to cascade to Layer 2 (LLM).
*/
export function classifyMessage(message: MessageRecord): Layer1Result {
const content = message.edited_content ?? message.content;
if (!content || content.trim().length === 0) {
return {
flags: [],
severity: "none",
toxicityScore: 0,
harmScore: 0,
cascadeToLayer2: true, // empty content still needs metadata check
confidence: 0,
explanation: "No text content to classify",
};
}
const mentions = countMentions(content);
const matchedFlags: string[] = [];
const severityWeights: Record<string, number> = {
low: 1,
medium: 2,
high: 3,
};
let maxSeverityWeight = 0;
let totalToxicityScore = 0;
let totalHarmScore = 0;
let totalSafetyScore = 0;
let totalSpamScore = 0;
const matchedPatternDetails: string[] = [];
for (const pattern of PATTERNS) {
if (pattern.test(content, mentions)) {
matchedFlags.push(pattern.name);
matchedPatternDetails.push(pattern.name);
const weight = severityWeights[pattern.severity] || 1;
maxSeverityWeight = Math.max(maxSeverityWeight, weight);
switch (pattern.category) {
case "toxicity":
totalToxicityScore += pattern.score;
break;
case "harm":
totalHarmScore += pattern.score;
break;
case "safety":
totalSafetyScore += pattern.score;
break;
case "spam":
totalSpamScore += pattern.score;
break;
}
}
}
// ── Determine final severity ───────────────────────────────────────
let finalSeverity: "none" | "low" | "medium" | "high" = "none";
if (maxSeverityWeight >= 3) finalSeverity = "high";
else if (maxSeverityWeight >= 2) finalSeverity = "medium";
else if (maxSeverityWeight >= 1) finalSeverity = "low";
// ── Determine if we should cascade ─────────────────────────────────
// Cascade to Layer 2 whenever:
// 1. No high-severity match was found, OR
// 2. Only spam/low-quality patterns matched (need LLM for nuance)
// Do NOT cascade when a clear high-severity harm/safety/toxicity match
// was found — the heuristic is sufficient.
const hasHighSeverityPattern = matchedFlags.some((f) => {
const p = PATTERNS.find((p) => p.name === f);
return p && p.severity === "high";
});
const hasOnlyLowSeveritySpam = matchedFlags.every((f) => {
const p = PATTERNS.find((p) => p.name === f);
return p && p.category === "spam" && p.severity !== "high";
});
// Cascade if no matches, only spam, or low/medium severity toxicity/safety
const cascadeToLayer2 =
matchedFlags.length === 0 ||
hasOnlyLowSeveritySpam ||
(finalSeverity !== "high" && hasHighSeverityPattern === false);
// ── Compute final scores (clamped 0-1) ─────────────────────────────
const toxicityScore = Math.min(totalToxicityScore, 1);
const harmScore = Math.min(totalHarmScore, 1);
// ── Confidence ─────────────────────────────────────────────────────
const confidence = cascadeToLayer2
? 0.4 + 0.1 * matchedFlags.length // low confidence when punting to LLM
: 0.6 + 0.4 * (1 - matchedFlags.length / PATTERNS.length);
const explanation =
matchedFlags.length > 0
? `Layer 1 matched: ${matchedPatternDetails.join(", ")}`
: "No heuristic patterns matched";
return {
flags: matchedFlags,
severity: finalSeverity,
toxicityScore,
harmScore,
cascadeToLayer2,
confidence: Math.min(confidence, 0.99),
explanation,
};
}
@@ -2,3 +2,8 @@ export { startPendingAIAnalysisWorker } from "./aiAnalyzer.js";
export { runModerationAnalysis } from "./moderationOrchestrator.js";
export { buildSystemPrompt } from "./moderationPrompt.js";
export { runSimpleTextFallback } from "./simpleFallback.js";
// ── New two-pass pipeline exports ──────────────────────────────────────────
export { classifyMessage } from "./fastClassifier.js";
export type { Layer1Result } from "./fastClassifier.js";
export type { AnalysisInput, AnalysisResult, WorkerConfig, MessageBatch } from "./ai-analysis-worker.js";
@@ -20,7 +20,6 @@ import {
SelectValue,
} from "@/components/ui/select";
import {
useGuilds,
useImages,
useLoadMore,
useMessageDetail,
@@ -56,8 +55,16 @@ export default function MessagesPage() {
const ws = useWebSocket();
const { data: channels = [] } = useTextChannels(guildId);
const { data: messages, isLoading, error, refetch } = useMessages(guildId, selectedChannel || undefined);
const { data: cursorData } = useMessagesHasMore(guildId, selectedChannel || undefined);
const {
data: messages,
isLoading,
error,
refetch,
} = useMessages(guildId, selectedChannel || undefined);
const { data: cursorData } = useMessagesHasMore(
guildId,
selectedChannel || undefined,
);
const loadMoreMut = useLoadMore();
const { data: images } = useImages(guildId);
const { data: reviews } = useReview(selectedChannel || undefined);
@@ -132,8 +139,10 @@ export default function MessagesPage() {
</SelectTrigger>
<SelectContent>
<SelectItem value="">All channels</SelectItem>
{channels.map((ch: any) => (
<SelectItem key={ch.id} value={ch.id}># {ch.name}</SelectItem>
{channels.map((ch) => (
<SelectItem key={ch.id} value={ch.id}>
# {ch.name}
</SelectItem>
))}
</SelectContent>
</Select>
@@ -10,8 +10,6 @@ import type { VoiceRecording } from "@/lib/types";
type RecordingsTab = "library" | "stats";
type RecordingsTab = "library" | "stats";
export default function RecordingsPage() {
const { data: recordings, isLoading, error, refetch } = useRecordings();
const [playingId, setPlayingId] = useState<string | null>(null);
@@ -64,8 +64,8 @@ export function SearchPanel() {
</p>
{results.length === 0 ? (
<EmptyState
title="No messages found"
description="Try a different search query."
icon={Search}
title="No messages found matching your query."
/>
) : (
<div className="space-y-2">
@@ -0,0 +1,93 @@
"use client";
import { ArrowLeft, Clock, Hash, Sparkles } from "lucide-react";
import { DetailStat, ErrorState, LoadingSkeleton } from "@/components/shared";
import { Button } from "@/components/ui/button";
import { Card, CardContent } from "@/components/ui/card";
import { useChannelDetail } from "@/hooks";
export function ChannelDetailSection({
channelId,
onBack,
}: {
channelId: string;
onBack: () => void;
}) {
const { data: channel, isLoading } = useChannelDetail(channelId);
if (isLoading) return <LoadingSkeleton count={1} height="h-64" />;
if (!channel) return <ErrorState message="Channel not found." />;
return (
<div className="space-y-5 animate-fade-in-up">
<Button variant="ghost" size="sm" onClick={onBack}>
<ArrowLeft className="size-4 mr-1" /> Back
</Button>
<Card>
<CardContent className="p-6 space-y-5">
<div>
<h2 className="text-lg font-semibold flex items-center gap-2">
<Hash className="size-5 text-muted-foreground" />
{channel.channel_name ?? channel.channel_id.slice(0, 8)}
</h2>
<p className="text-xs text-muted-foreground font-mono">
{channel.channel_id}
</p>
</div>
<div className="grid grid-cols-2 md:grid-cols-4 gap-3">
<DetailStat label="Messages" value={channel.total_messages} />
<DetailStat
label="Flagged"
value={channel.flagged_count}
variant="danger"
/>
<DetailStat
label="Clean"
value={channel.clean_count}
variant="success"
/>
</div>
{channel.culture_summary && (
<div className="rounded-lg bg-gradient-to-br from-primary/5 to-primary/[0.02] border border-primary/10 p-4">
<div className="flex items-center gap-2 mb-2">
<Sparkles className="size-4 text-primary" />
<p className="text-xs text-muted-foreground font-medium uppercase tracking-wider">
Channel Culture
</p>
</div>
<p className="text-sm leading-relaxed italic">
&ldquo;{channel.culture_summary}&rdquo;
</p>
</div>
)}
{channel.recent_messages.length > 0 && (
<div className="space-y-3">
<h3 className="text-sm font-semibold flex items-center gap-2">
<Clock className="size-4 text-muted-foreground" /> Recent
Messages
</h3>
<div className="space-y-2">
{channel.recent_messages.slice(0, 5).map((msg) => (
<div
key={msg.id}
className="rounded-lg border border-border/50 bg-muted/20 p-3 text-sm"
>
<div className="flex items-center gap-2 mb-1">
<span className="text-sm font-medium">
{msg.username}
</span>
<span className="text-xs text-muted-foreground">
{new Date(msg.created_at).toLocaleString()}
</span>
</div>
<p className="text-sm">{msg.content}</p>
</div>
))}
</div>
</div>
)}
</CardContent>
</Card>
</div>
);
}
@@ -0,0 +1,78 @@
"use client";
import { ChevronRight, Hash, Search } from "lucide-react";
import { useState } from "react";
import { EmptyState, LoadingSkeleton } from "@/components/shared";
import { Card, CardContent } from "@/components/ui/card";
import { Input } from "@/components/ui/input";
import { useChannels } from "@/hooks";
export function ChannelsSection({
guildId,
onSelect,
}: {
guildId: string;
onSelect: (id: string) => void;
}) {
const [search, setSearch] = useState("");
const {
data: channels,
isLoading,
refetch,
} = useChannels(guildId, search || undefined);
return (
<div className="space-y-4 animate-fade-in-up">
<div className="relative">
<Search className="absolute left-3 top-1/2 -translate-y-1/2 size-4 text-muted-foreground" />
<Input
placeholder="Search channels…"
value={search}
onChange={(e) => setSearch(e.target.value)}
className="pl-9 h-9"
/>
</div>
{isLoading ? (
<LoadingSkeleton count={6} height="h-20" />
) : !channels || channels.length === 0 ? (
<EmptyState icon={Hash} title="No channels found." />
) : (
<div className="space-y-2">
{channels.map((ch) => (
<Card
key={ch.channel_id}
className="cursor-pointer hover:bg-accent/5 transition-colors"
onClick={() => onSelect(ch.channel_id)}
>
<CardContent className="p-4">
<div className="flex items-center justify-between">
<div className="min-w-0 flex-1">
<div className="flex items-center gap-2">
<Hash className="size-3.5 text-muted-foreground shrink-0" />
<p className="text-sm font-medium truncate">
{ch.channel_name ?? ch.channel_id.slice(0, 8)}
</p>
</div>
<p className="text-xs text-muted-foreground mt-0.5">
{ch.total_messages} messages
{ch.flagged_count > 0
? ` · ${ch.flagged_count} flagged`
: ""}
</p>
</div>
<ChevronRight className="size-4 text-muted-foreground shrink-0 ml-2" />
</div>
{ch.culture_summary && (
<p className="text-xs text-muted-foreground/70 mt-2 italic line-clamp-2 border-t border-border/50 pt-2">
&ldquo;{ch.culture_summary}&rdquo;
</p>
)}
</CardContent>
</Card>
))}
</div>
)}
</div>
);
}
@@ -0,0 +1,5 @@
export { ChannelDetailSection } from "./channel-detail-section";
export { ChannelsSection } from "./channels-section";
export { StatsSection } from "./stats-section";
export { UserDetailSection } from "./user-detail-section";
export { UsersSection } from "./users-section";
@@ -0,0 +1,145 @@
"use client";
import {
AlertCircle,
Clock,
Hash,
Shield,
Sparkles,
Users,
} from "lucide-react";
import { ErrorState, LoadingSkeleton, StatCard } from "@/components/shared";
import { Card, CardContent, CardHeader, CardTitle } from "@/components/ui/card";
import { Progress } from "@/components/ui/progress";
import { useStats } from "@/hooks";
import { formatNumber } from "@/lib/format";
export function StatsSection() {
const { data: stats, isLoading, error, refetch } = useStats();
if (error) return <ErrorState message={error.message} onRetry={refetch} />;
if (isLoading || !stats)
return (
<div className="space-y-5 animate-fade-in-up">
<LoadingSkeleton count={8} height="h-28" columns={4} />
</div>
);
return (
<div className="space-y-5 animate-fade-in-up">
<div className="grid grid-cols-2 md:grid-cols-4 gap-3">
<StatCard
label="Total Messages"
value={stats.total_messages}
icon={Hash}
/>
<StatCard label="Today" value={stats.today_messages} icon={Clock} />
<StatCard label="Users" value={stats.total_users} icon={Users} />
<StatCard
label="Active 24h"
value={stats.active_users_24h}
icon={Sparkles}
/>
<StatCard
label="Flagged"
value={stats.total_flagged}
icon={AlertCircle}
variant="danger"
/>
<StatCard
label="Clean"
value={stats.total_clean}
icon={Shield}
variant="success"
/>
<StatCard
label="Voice Recordings"
value={stats.total_voice_recordings}
icon={Hash}
/>
<StatCard
label="AI Profiles"
value={stats.total_profiles}
icon={Sparkles}
/>
</div>
<div className="grid grid-cols-1 md:grid-cols-2 gap-4">
<Card>
<CardHeader>
<CardTitle className="flex items-center gap-2 text-sm font-semibold">
<Hash className="size-4 text-muted-foreground" /> Top Channels
</CardTitle>
</CardHeader>
<CardContent>
{stats.top_channels.length === 0 ? (
<p className="text-sm text-muted-foreground py-6 text-center">
No channel data yet.
</p>
) : (
<div className="space-y-2">
{stats.top_channels.map((ch) => {
const max = stats.top_channels[0].message_count;
const pct = max > 0 ? (ch.message_count / max) * 100 : 0;
return (
<div key={ch.channel_id} className="space-y-1">
<div className="flex items-center justify-between text-sm">
<span className="truncate font-medium">
#{ch.channel_name ?? ch.channel_id.slice(0, 8)}
</span>
<span className="text-muted-foreground tabular-nums">
{formatNumber(ch.message_count)}
</span>
</div>
<Progress value={pct} className="h-1.5" />
</div>
);
})}
</div>
)}
</CardContent>
</Card>
<Card>
<CardHeader>
<CardTitle className="flex items-center gap-2 text-sm font-semibold">
<Shield className="size-4 text-muted-foreground" /> Moderation
Queue
</CardTitle>
</CardHeader>
<CardContent>
<div className="grid grid-cols-3 gap-3">
{[
{
label: "Pending",
value: stats.moderation_overview.pending,
cls: "bg-muted/50",
},
{
label: "Processing",
value: stats.moderation_overview.processing,
cls: "bg-yellow-500/10 text-yellow-500",
},
{
label: "Errors",
value: stats.moderation_overview.error,
cls: "bg-destructive/10 text-destructive",
},
].map(({ label, value, cls }) => (
<div
key={label}
className={`rounded-lg p-3 text-center space-y-1.5 ${cls}`}
>
<div
className={`text-2xl font-bold tabular-nums ${cls.includes("yellow") ? "text-yellow-500" : cls.includes("destructive") ? "text-destructive" : ""}`}
>
{value}
</div>
<div className="text-xs text-muted-foreground">{label}</div>
</div>
))}
</div>
</CardContent>
</Card>
</div>
</div>
);
}
@@ -0,0 +1,106 @@
"use client";
import { ArrowLeft, Clock, Sparkles } from "lucide-react";
import Image from "next/image";
import { DetailStat, ErrorState, LoadingSkeleton } from "@/components/shared";
import { Button } from "@/components/ui/button";
import { Card, CardContent } from "@/components/ui/card";
import { useUserDetail } from "@/hooks";
export function UserDetailSection({
userId,
onBack,
}: {
userId: string;
onBack: () => void;
}) {
const { data: user, isLoading } = useUserDetail(userId);
if (isLoading) return <LoadingSkeleton count={1} height="h-64" />;
if (!user) return <ErrorState message="User not found." />;
return (
<div className="space-y-5 animate-fade-in-up">
<Button variant="ghost" size="sm" onClick={onBack}>
<ArrowLeft className="size-4 mr-1" /> Back
</Button>
<Card>
<CardContent className="p-6 space-y-5">
<div className="flex items-center gap-4">
<div className="size-14 shrink-0 rounded-full bg-muted flex items-center justify-center text-xl font-medium overflow-hidden ring-2 ring-border">
{user.avatar_url ? (
<Image
src={user.avatar_url}
alt=""
width={56}
height={56}
className="size-full object-cover"
/>
) : (
(user.username ?? "?").charAt(0).toUpperCase()
)}
</div>
<div className="min-w-0">
<h2 className="text-lg font-semibold">
{user.username ?? "Unknown"}
</h2>
<p className="text-xs text-muted-foreground font-mono">
{user.user_id}
</p>
</div>
</div>
<div className="grid grid-cols-2 md:grid-cols-4 gap-3">
<DetailStat label="Messages" value={user.total_messages} />
<DetailStat
label="Flagged"
value={user.flagged_count}
variant="danger"
/>
<DetailStat
label="Clean Streak"
value={user.clean_message_streak ?? 0}
/>
<DetailStat
label="Trust Score"
value={user.trust_score ?? 0}
suffix="%"
/>
</div>
{user.profile_summary && (
<div className="rounded-lg bg-gradient-to-br from-primary/5 to-primary/[0.02] border border-primary/10 p-4">
<div className="flex items-center gap-2 mb-2">
<Sparkles className="size-4 text-primary" />
<p className="text-xs text-muted-foreground font-medium uppercase tracking-wider">
AI Profile
</p>
</div>
<p className="text-sm leading-relaxed">{user.profile_summary}</p>
</div>
)}
{user.recent_messages.length > 0 && (
<div className="space-y-3">
<h3 className="text-sm font-semibold flex items-center gap-2">
<Clock className="size-4 text-muted-foreground" /> Recent
Messages
</h3>
<div className="space-y-2 max-h-80 overflow-y-auto">
{user.recent_messages.slice(0, 5).map((msg) => (
<div
key={msg.id}
className="rounded-lg border border-border/50 bg-muted/20 p-3 text-sm"
>
<p className="text-xs text-muted-foreground mb-1 flex items-center gap-2">
<Clock className="size-3" />
{new Date(msg.created_at).toLocaleString()}
</p>
<p className="text-sm">{msg.content}</p>
</div>
))}
</div>
</div>
)}
</CardContent>
</Card>
</div>
);
}
@@ -0,0 +1,80 @@
"use client";
import { ChevronRight, Search, Users } from "lucide-react";
import Image from "next/image";
import { useState } from "react";
import { EmptyState, LoadingSkeleton } from "@/components/shared";
import { Badge } from "@/components/ui/badge";
import { Card, CardContent } from "@/components/ui/card";
import { Input } from "@/components/ui/input";
import { useUsers } from "@/hooks";
export function UsersSection({ onSelect }: { onSelect: (id: string) => void }) {
const [search, setSearch] = useState("");
const { data: users, isLoading } = useUsers(search || undefined);
return (
<div className="space-y-4 animate-fade-in-up">
<div className="relative">
<Search className="absolute left-3 top-1/2 -translate-y-1/2 size-4 text-muted-foreground" />
<Input
placeholder="Search users…"
value={search}
onChange={(e) => setSearch(e.target.value)}
className="pl-9 h-9"
/>
</div>
{isLoading ? (
<LoadingSkeleton count={6} height="h-20" columns={2} />
) : !users || users.length === 0 ? (
<EmptyState icon={Users} title="No users found." />
) : (
<div className="grid grid-cols-1 md:grid-cols-2 gap-3">
{users.map((u) => (
<Card
key={u.user_id}
className="cursor-pointer hover:bg-accent/5 transition-colors"
onClick={() => onSelect(u.user_id)}
>
<CardContent className="p-3">
<div className="flex items-center gap-3">
<div className="size-10 shrink-0 rounded-full bg-muted flex items-center justify-center text-sm font-medium overflow-hidden ring-1 ring-border">
{u.avatar_url ? (
<Image
src={u.avatar_url}
alt=""
width={40}
height={40}
className="size-full object-cover"
/>
) : (
(u.username ?? "?").charAt(0).toUpperCase()
)}
</div>
<div className="flex-1 min-w-0">
<p className="text-sm font-medium truncate">
{u.username ?? "Unknown"}
</p>
<p className="text-xs text-muted-foreground flex items-center gap-2">
<span>{u.total_messages} messages</span>
{u.flagged_count > 0 && (
<Badge
variant="destructive"
className="text-[10px] px-1.5 py-0 h-4"
>
{u.flagged_count} flagged
</Badge>
)}
</p>
</div>
<ChevronRight className="size-4 text-muted-foreground shrink-0" />
</div>
</CardContent>
</Card>
))}
</div>
)}
</div>
);
}
@@ -2,7 +2,8 @@
import Link from "next/link";
import { usePathname } from "next/navigation";
import { mobileNavItems, isActivePath } from "@/lib/navigation";
import { isActivePath, mobileNavItems } from "@/lib/navigation";
import { cn } from "@/lib/utils";
export function MobileNav() {
@@ -0,0 +1,62 @@
"use client";
import { ImageIcon } from "lucide-react";
import { Card } from "@/components/ui/card";
import type { MessageRecord } from "@/lib/types";
import { extractFirstImage } from "./message-card";
export function ImagesGrid({
images,
onSelect,
}: {
images: MessageRecord[];
onSelect: (id: string) => void;
}) {
if (!images || images.length === 0) {
return (
<div className="flex flex-col items-center justify-center py-20 text-center">
<ImageIcon
className="size-10 text-muted-foreground/40 mb-3"
aria-label="No images"
/>
<p className="text-sm text-muted-foreground">No images yet.</p>
</div>
);
}
return (
<div className="grid grid-cols-2 md:grid-cols-3 lg:grid-cols-4 gap-3 animate-fade-in-up">
{images.map((msg) => {
const imgUrl = extractFirstImage(msg.metadata);
return (
<Card
key={msg.id}
className="group relative overflow-hidden cursor-pointer"
onClick={() => onSelect(msg.id)}
>
<div className="aspect-square relative bg-muted">
{imgUrl ? (
<img
src={imgUrl}
alt={msg.content || "Image"}
className="absolute inset-0 size-full object-cover transition-transform duration-300 group-hover:scale-105"
/>
) : (
<div className="flex items-center justify-center size-full text-muted-foreground text-xs">
No image
</div>
)}
{msg.content && (
<div className="absolute inset-0 bg-gradient-to-t from-black/70 via-black/20 to-transparent opacity-0 group-hover:opacity-100 transition-opacity duration-200 flex items-end p-3">
<p className="text-xs text-white/90 line-clamp-2">
{msg.username}: {msg.content}
</p>
</div>
)}
</div>
</Card>
);
})}
</div>
);
}
@@ -1,87 +1,160 @@
"use client";
import { cn } from "@/lib/utils";
import { Hash, RefreshCw } from "lucide-react";
import { Avatar, AvatarFallback, AvatarImage } from "@/components/ui/avatar";
import { Badge } from "@/components/ui/badge";
import { Button } from "@/components/ui/button";
import { Card, CardContent } from "@/components/ui/card";
import { Progress } from "@/components/ui/progress";
import { safeParseJsonArray } from "@/lib/format";
import type { MessageRecord } from "@/lib/types";
import { cn } from "@/lib/utils";
import { AiStatusBadge } from "./ai-status-badge";
interface MessageCardProps {
export function MessageCard({
message: msg,
onClick,
onReanalyze,
}: {
message: MessageRecord;
selected?: boolean;
onClick?: (id: string) => void;
}
const severityDot: Record<string, string> = {
clean: "bg-emerald-500 shadow-[0_0_6px] shadow-emerald-500/60",
pending: "bg-text-secondary/30",
warn: "bg-accent-amber shadow-[0_0_6px] shadow-accent-amber/60",
flagged: "bg-accent-purple shadow-[0_0_6px] shadow-accent-purple/60",
error: "bg-destructive/60",
};
function formatRelativeTime(timestamp: number): string {
const diff = Date.now() - timestamp;
const mins = Math.floor(diff / 60000);
if (mins < 1) return "just now";
if (mins < 60) return `${mins}m`;
const hours = Math.floor(mins / 60);
if (hours < 24) return `${hours}h`;
const days = Math.floor(hours / 24);
return `${days}d`;
}
export function MessageCard({ message, selected, onClick }: MessageCardProps) {
const status = message.ai_status || "pending";
onClick: (id: string) => void;
onReanalyze: (id: string) => void;
}) {
const severity = (
{
low: "border-l-cyan-500/40",
medium: "border-l-amber-500/60",
high: "border-l-orange-500/70",
critical: "border-l-red-500/80",
} as Record<string, string>
)[msg.ai_severity ?? ""];
return (
<button
type="button"
onClick={() => onClick?.(message.id)}
<Card
className={cn(
"w-full text-left px-4 py-3 rounded-[var(--radius-panel)] transition-all duration-150 border",
selected
? "glass-elevated border-border-glow"
: "glass border-glass-border hover:border-border-glow/50 hover:scale-[1.002]",
"cursor-pointer transition-all duration-200 hover:shadow-[0_0_16px_oklch(0.62_0.17_215_/_0.08)] hover:border-cyan-500/20",
severity && "border-l-2",
severity,
)}
onClick={() => onClick(msg.id)}
>
<div className="flex items-start gap-3">
{/* Severity dot */}
<span className={cn("mt-1.5 size-2 rounded-full shrink-0", severityDot[status] || severityDot.pending)} />
<div className="flex-1 min-w-0">
{/* Header */}
<div className="flex items-center gap-2 mb-1">
<span className="text-sm font-semibold text-text-primary truncate">{message.username}</span>
<span className="text-[10px] font-mono text-text-secondary/50">{message.channel_id?.slice(0, 8)}</span>
<span className="ml-auto text-[10px] text-text-secondary/40 shrink-0">
{message.created_at ? formatRelativeTime(message.created_at) : ""}
</span>
</div>
{/* Content */}
<p className="text-sm text-text-secondary/80 line-clamp-2 leading-relaxed">
{message.content || "(no text content)"}
</p>
{/* AI status badge */}
{status !== "pending" && (
<div className="flex items-center gap-2 mt-1.5">
<span className={cn(
"inline-flex items-center gap-1 px-1.5 py-0.5 rounded text-[10px] font-medium font-mono",
status === "clean" && "bg-emerald-500/10 text-emerald-500",
status === "warn" && "bg-accent-amber/10 text-accent-amber",
status === "flagged" && "bg-accent-purple/10 text-accent-purple",
status === "error" && "bg-destructive/10 text-destructive",
)}>
{status}
<CardContent className="p-4">
<div className="flex items-start gap-3">
<Avatar className="size-8 shrink-0 mt-0.5">
<AvatarImage src={msg.avatar_url ?? undefined} />
<AvatarFallback className="text-xs">
{msg.username.charAt(0).toUpperCase()}
</AvatarFallback>
</Avatar>
<div className="flex-1 min-w-0 space-y-2">
<div className="flex items-center gap-2 flex-wrap">
<span className="text-sm font-medium">{msg.username}</span>
<span className="text-xs text-muted-foreground">
{new Date(msg.created_at).toLocaleString()}
</span>
{message.ai_moderation_flags && message.ai_moderation_flags.length > 0 && (
<span className="text-[10px] text-text-secondary/50 font-mono">
{message.ai_moderation_flags}
</span>
<span className="text-xs text-muted-foreground">
<Hash className="size-3 inline mr-0.5" />
{msg.channel_id.slice(0, 8)}
</span>
<AiStatusBadge status={msg.ai_status} />
{msg.ai_severity && msg.ai_severity !== "none" && (
<Badge
variant="destructive"
className="text-[10px] px-1.5 py-0 h-4"
>
{msg.ai_severity}
</Badge>
)}
{msg.type === "deleted" && (
<Badge
variant="destructive"
className="text-[10px] px-1.5 py-0 h-4"
>
deleted
</Badge>
)}
{msg.type === "edited" && (
<Badge
variant="outline"
className="text-[10px] px-1.5 py-0 h-4"
>
edited
</Badge>
)}
</div>
)}
<p
className={cn(
"text-sm leading-relaxed",
msg.type === "deleted" &&
"italic text-muted-foreground line-through",
)}
>
{msg.content}
</p>
{(() => {
const u = extractFirstImage(msg.metadata);
if (!u) return null;
return (
<img
src={u}
alt=""
className="mt-2 max-h-48 rounded-lg border border-border/50 object-cover"
/>
);
})()}
{msg.ai_moderation_flags && msg.ai_moderation_flags !== "[]" && (
<div className="flex flex-wrap gap-1">
{safeParseJsonArray(msg.ai_moderation_flags).map((f) => (
<Badge
key={f}
variant="destructive"
className="text-[10px] px-1.5 py-0 h-4"
>
{f}
</Badge>
))}
</div>
)}
{msg.ai_analysis && (
<p className="text-xs text-muted-foreground italic line-clamp-2 leading-relaxed">
{msg.ai_analysis}
</p>
)}
{msg.ai_confidence != null && (
<div className="flex items-center gap-2 max-w-40">
<Progress value={msg.ai_confidence * 100} className="h-1.5" />
<span className="text-[11px] text-muted-foreground tabular-nums shrink-0">
{(msg.ai_confidence * 100).toFixed(0)}%
</span>
</div>
)}
<Button
variant="ghost"
size="xs"
onClick={(e) => {
e.stopPropagation();
onReanalyze(msg.id);
}}
>
<RefreshCw className="size-3 mr-1" /> Reanalyze
</Button>
</div>
</div>
</div>
</button>
</CardContent>
</Card>
);
}
export function extractFirstImage(
metadata: string | null | undefined,
): string | null {
if (!metadata) return null;
try {
const m = JSON.parse(metadata);
const atts: Array<{ url: string; contentType?: string }> =
m.attachments ?? [];
return atts.find((a) => a.contentType?.startsWith("image/"))?.url ?? null;
} catch {
return null;
}
}
@@ -0,0 +1,165 @@
"use client";
import { ExternalLink, Sparkles } from "lucide-react";
import { Avatar, AvatarFallback, AvatarImage } from "@/components/ui/avatar";
import { Badge } from "@/components/ui/badge";
import { Card, CardContent } from "@/components/ui/card";
import { formatBytes, safeParseJsonArray } from "@/lib/format";
import type { MessageRecord } from "@/lib/types";
import { cn } from "@/lib/utils";
function MiniStat({
label,
value,
destructive,
capitalize,
}: {
label: string;
value: string;
destructive?: boolean;
capitalize?: boolean;
}) {
return (
<Card>
<CardContent className="p-3">
<p className="text-xs text-muted-foreground">{label}</p>
<p
className={cn(
"text-sm font-medium mt-0.5",
capitalize && "capitalize",
destructive && "text-destructive",
)}
>
{value}
</p>
</CardContent>
</Card>
);
}
export function MessageDetailView({
message,
attachments,
}: {
message: MessageRecord;
attachments: {
id: string;
filename: string;
type: string;
size: number;
uploaded_url?: string | null;
discord_url?: string | null;
}[];
}) {
return (
<div className="space-y-5">
<div className="flex items-start gap-3">
<Avatar className="size-10">
<AvatarImage src={message.avatar_url ?? undefined} />
<AvatarFallback>
{message.username.charAt(0).toUpperCase()}
</AvatarFallback>
</Avatar>
<div className="flex-1 min-w-0">
<div className="flex items-center gap-2 flex-wrap">
<span className="text-sm font-medium">{message.username}</span>
<span className="text-xs text-muted-foreground">
{new Date(message.created_at).toLocaleString()}
</span>
{message.type === "deleted" && (
<Badge variant="destructive" className="text-[10px]">
deleted
</Badge>
)}
{message.type === "edited" && (
<Badge variant="outline" className="text-[10px]">
edited
</Badge>
)}
</div>
<p className="text-sm mt-2 whitespace-pre-wrap break-words leading-relaxed">
{message.content}
</p>
</div>
</div>
{message.ai_analysis && (
<div className="rounded-lg bg-gradient-to-br from-primary/5 to-primary/[0.02] border border-primary/10 p-4">
<div className="flex items-center gap-2 mb-2">
<Sparkles className="size-4 text-primary" />
<p className="text-xs text-muted-foreground font-medium">
AI Analysis
</p>
</div>
<p className="text-sm leading-relaxed">{message.ai_analysis}</p>
</div>
)}
{message.ai_moderation_flags && message.ai_moderation_flags !== "[]" && (
<div className="space-y-2">
<p className="text-xs text-muted-foreground font-medium">
Moderation Flags
</p>
<div className="flex flex-wrap gap-1.5">
{safeParseJsonArray(message.ai_moderation_flags).map((f) => (
<Badge key={f} variant="destructive" className="text-[11px]">
{f}
</Badge>
))}
</div>
</div>
)}
<div className="grid grid-cols-2 md:grid-cols-4 gap-3">
{message.ai_status && (
<MiniStat label="Status" value={message.ai_status} capitalize />
)}
{message.ai_severity && message.ai_severity !== "none" && (
<MiniStat
label="Severity"
value={message.ai_severity}
destructive
capitalize
/>
)}
{message.ai_confidence != null && (
<MiniStat
label="Confidence"
value={`${(message.ai_confidence * 100).toFixed(0)}%`}
/>
)}
{message.ai_recommended_action &&
message.ai_recommended_action !== "none" && (
<MiniStat
label="Action"
value={message.ai_recommended_action}
capitalize
/>
)}
</div>
{attachments.length > 0 && (
<div className="space-y-2">
<p className="text-xs text-muted-foreground font-medium">
Attachments ({attachments.length})
</p>
<div className="grid grid-cols-2 gap-2">
{attachments.map((a) => (
<a
key={a.id}
href={a.uploaded_url ?? a.discord_url ?? "#"}
target="_blank"
rel="noreferrer"
className="flex items-center gap-2 rounded-lg border border-border/50 p-2 hover:bg-muted transition-colors group"
>
<div className="flex-1 min-w-0">
<p className="text-xs font-medium truncate">{a.filename}</p>
<p className="text-[11px] text-muted-foreground">
{a.type} · {formatBytes(a.size)}
</p>
</div>
<ExternalLink className="size-3 shrink-0 text-muted-foreground/50 group-hover:text-muted-foreground transition-colors" />
</a>
))}
</div>
</div>
)}
</div>
);
}
@@ -0,0 +1,39 @@
"use client";
import { Flag } from "lucide-react";
import type { MessageRecord } from "@/lib/types";
import { MessageCard } from "./message-card";
export function ReviewList({
reviews,
onSelect,
onReanalyze,
}: {
reviews: MessageRecord[];
onSelect: (id: string) => void;
onReanalyze: (id: string) => void;
}) {
if (!reviews || reviews.length === 0) {
return (
<div className="flex flex-col items-center justify-center py-20 text-center">
<Flag className="size-10 text-muted-foreground/40 mb-3" />
<p className="text-sm text-muted-foreground">
No flagged messages to review.
</p>
</div>
);
}
return (
<div className="space-y-2 animate-fade-in-up">
{reviews.map((msg) => (
<MessageCard
key={msg.id}
message={msg}
onClick={onSelect}
onReanalyze={onReanalyze}
/>
))}
</div>
);
}
@@ -0,0 +1,94 @@
"use client";
import { Download, Headphones, Trash2 } from "lucide-react";
import { EmptyState, LoadingSkeleton } from "@/components/shared";
import { Avatar, AvatarFallback, AvatarImage } from "@/components/ui/avatar";
import { Badge } from "@/components/ui/badge";
import { Button } from "@/components/ui/button";
import { Card, CardContent, CardHeader, CardTitle } from "@/components/ui/card";
import {
useDeleteRecording,
useRecordings,
useRecordingsWsSync,
} from "@/hooks";
import { formatBytes } from "@/lib/format";
import type { WsHook } from "@/lib/ws-hook";
interface RecordingListProps {
ws: WsHook;
}
export function RecordingList({ ws }: RecordingListProps) {
const { data: recordings, isLoading } = useRecordings();
const deleteMut = useDeleteRecording();
useRecordingsWsSync(ws);
return (
<Card>
<CardHeader>
<CardTitle className="flex items-center gap-2 text-sm font-semibold">
<Headphones className="size-4 text-primary" />
Voice Recordings
</CardTitle>
</CardHeader>
<CardContent>
{isLoading ? (
<LoadingSkeleton count={5} height="h-16" />
) : !recordings || recordings.length === 0 ? (
<EmptyState icon={Headphones} title="No recordings yet." />
) : (
<div className="space-y-2">
{recordings.map((rec) => (
<div
key={rec.id}
className="flex items-center gap-3 rounded-lg border border-border/50 p-3 hover:bg-muted/30 transition-colors"
>
<Avatar className="size-8">
<AvatarImage src={rec.avatar_url ?? undefined} />
<AvatarFallback>
{(rec.username ?? "?").charAt(0).toUpperCase()}
</AvatarFallback>
</Avatar>
<div className="flex-1 min-w-0">
<p className="text-sm font-medium truncate">{rec.username}</p>
<p className="text-xs text-muted-foreground">
{rec.channel_name ?? rec.channel_id ?? "Unknown channel"} {" "}
{new Date(rec.created_at).toLocaleString()}
</p>
</div>
<Badge
variant="outline"
className="text-[10px] font-mono shrink-0"
>
{formatBytes(rec.size_bytes)}
</Badge>
{rec.download_url && (
<Button
variant="ghost"
size="icon"
onClick={() => {
if (rec.download_url)
window.open(rec.download_url, "_blank");
}}
>
<Download className="size-4" />
</Button>
)}
<Button
variant="ghost"
size="icon"
onClick={() => deleteMut.mutate(rec.id)}
className="hover:text-destructive hover:bg-destructive/10"
>
<Trash2 className="size-4" />
</Button>
</div>
))}
</div>
)}
</CardContent>
</Card>
);
}
@@ -0,0 +1,42 @@
import { Card, CardContent } from "@/components/ui/card";
import { formatNumber } from "@/lib/format";
import { cn } from "@/lib/utils";
interface DetailStatProps {
label: string;
value: number;
variant?: "default" | "danger" | "success";
suffix?: string;
}
const valueColor = {
default: "",
danger: "text-red-400",
success: "text-emerald-400",
};
/**
* Small stat label used inside detail views.
*/
export function DetailStat({
label,
value,
variant = "default",
suffix,
}: DetailStatProps) {
return (
<Card className="bg-gradient-to-br from-cyan-500/5 to-transparent border-cyan-500/10">
<CardContent className="p-3">
<p className="text-xs text-muted-foreground/70 tracking-wide">
{label}
</p>
<p
className={cn("text-lg font-bold tabular-nums", valueColor[variant])}
>
{formatNumber(value)}
{suffix}
</p>
</CardContent>
</Card>
);
}
@@ -1,4 +1,6 @@
export { DetailStat } from "./detail-stat";
export { EmptyState } from "./empty-state";
export { ErrorBoundary } from "./error-boundary";
export { ErrorState } from "./error-state";
export { LoadingSkeleton } from "./loading-skeleton";
export { StatCard } from "./stat-card";
@@ -0,0 +1,78 @@
import type { LucideIcon } from "lucide-react";
import { Card, CardContent } from "@/components/ui/card";
import { formatNumber } from "@/lib/format";
import { cn } from "@/lib/utils";
interface StatCardProps {
label: string;
value: number;
icon: LucideIcon;
variant?: "default" | "danger" | "success" | "warning";
}
const variantStyles = {
default: "from-cyan-500/10 to-teal-500/5 border-cyan-500/20",
danger: "from-red-500/10 to-rose-500/5 border-red-500/20",
success: "from-emerald-500/10 to-green-500/5 border-emerald-500/20",
warning: "from-amber-500/10 to-yellow-500/5 border-amber-500/20",
};
const iconBg = {
default: "bg-cyan-500/15 text-cyan-400",
danger: "bg-red-500/15 text-red-400",
success: "bg-emerald-500/15 text-emerald-400",
warning: "bg-amber-500/15 text-amber-400",
};
const valueColor = {
default: "",
danger: "text-red-400",
success: "text-emerald-400",
warning: "text-amber-400",
};
/**
* Metric card used across dashboard and landing pages.
*/
export function StatCard({
label,
value,
icon: Icon,
variant = "default",
}: StatCardProps) {
return (
<Card
className={cn(
"border bg-gradient-to-br backdrop-blur-sm",
variantStyles[variant],
)}
>
<CardContent className="p-4">
<div className="flex items-start justify-between">
<div className="space-y-1.5">
<p className="text-xs text-muted-foreground/80 tracking-wide">
{label}
</p>
<p
className={cn(
"text-2xl font-bold tabular-nums tracking-tight",
valueColor[variant],
)}
>
{formatNumber(value)}
</p>
</div>
<div
className={cn(
"flex size-9 shrink-0 items-center justify-center rounded-lg",
iconBg[variant],
)}
>
<Icon className="size-4" />
</div>
</div>
</CardContent>
</Card>
);
}
+29 -12
View File
@@ -1,23 +1,26 @@
import {
Headphones,
LayoutDashboard,
type LucideIcon,
MessageSquare,
Mic,
Headphones,
Music,
Search,
Settings,
type LucideIcon,
} from "lucide-react";
export interface NavItem {
href: string;
label: string;
icon: LucideIcon;
}
export interface NavItemWithMatch extends NavItem {
/** The pathname prefix that indicates this item is active */
matchPrefix: string;
}
export const navItems: NavItemWithMatch[] = [
/**
* Primary navigation items shown in the sidebar.
*/
export const navItems: NavItem[] = [
{
href: "/dashboard",
label: "Dashboard",
@@ -36,12 +39,24 @@ export const navItems: NavItemWithMatch[] = [
icon: Mic,
matchPrefix: "/voice",
},
{
href: "/media",
label: "Media",
icon: Music,
matchPrefix: "/media",
},
{
href: "/recordings",
label: "Recordings",
icon: Headphones,
matchPrefix: "/recordings",
},
{
href: "/analysis",
label: "Search",
icon: Search,
matchPrefix: "/analysis",
},
{
href: "/settings",
label: "Settings",
@@ -50,14 +65,16 @@ export const navItems: NavItemWithMatch[] = [
},
];
export const mobileNavItems: NavItemWithMatch[] = navItems.filter((item) =>
["/dashboard", "/messages", "/voice", "/recordings"].includes(item.href),
/**
* Mobile bottom bar items (subset of primary nav).
*/
export const mobileNavItems: NavItem[] = navItems.filter((item) =>
["/dashboard", "/messages", "/voice", "/media"].includes(item.href),
);
export function isActivePath(
pathname: string,
matchPrefix: string,
): boolean {
export type NavItemId = (typeof navItems)[number]["href"];
export function isActivePath(pathname: string, matchPrefix: string): boolean {
if (matchPrefix === "/dashboard") return pathname === "/dashboard";
return pathname.startsWith(matchPrefix);
}