Drop trust-score/infraction system: delete userReputationStore, remove call sites in fallback/batch processors, drop formatReputationAttrs, drop user_reputations table (migration 0016), delete trust-model test, update docs.
277 lines
10 KiB
TypeScript
277 lines
10 KiB
TypeScript
/**
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* moderationBuilders.ts
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*
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* Shared builder utilities extracted from llmModerationClient.ts.
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* Used by both mediaAnalysisClient.ts and moderationOrchestrator.ts.
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*/
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import { renderDiscordMentions } from "../message-capture/messageMetadata.js";
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import { messageStore } from "../message-capture/messageStore.js";
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import type { MessageRecord } from "../message-capture/types.js";
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import { sanitizeDiscordTokens } from "./discordTokens.js";
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import { sanitizeAiContent } from "./prompts/output.js";
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/** Simple XML-escaping for content text. */
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export function escapeXml(s: string): string {
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return s
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.replace(/&/g, "&")
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.replace(/</g, "<")
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.replace(/>/g, ">")
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.replace(/"/g, """);
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}
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// ---------------------------------------------------------------------------
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// Conversation context block — structured data for the USER message.
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//
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// All per-batch context lives in the USER message (not the SYSTEM prompt) so
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// the system prompt is stable per mode (cacheable on routers/providers) and
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// the role boundary is clean: instructions in SYSTEM, data in USER.
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// ---------------------------------------------------------------------------
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/** Outer char cap for the assembled `<conversation_context>` inner text. */
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export const CONVERSATION_CONTEXT_MAX_CHARS = 40_000;
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/**
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* Wraps per-batch context data into structured XML blocks for the USER
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* message:
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*
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* <location_context channel_id="..." channel_name="..." nsfw="..."/>
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* <conversation_context>
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* [conversation_flow] status=ongoing context_msgs=12 dropped=0
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* [context] id=... time=... user=...: isi pesan
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* ...
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* </conversation_context>
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*
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* Empty blocks are omitted entirely (never emit a hollow `<conversation_context>`
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* with no content). The inner text is AI/user-derived and passed through
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* `sanitizeAiContent` (CDATA + XML-escape) to block prompt injection.
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*/
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export function buildConversationContextBlock(input: {
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/** Pre-built `<location_context .../>` string (or ""). */
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location?: string;
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/** `[conversation_flow]` descriptor line from buildConversationContext. */
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descriptor?: string;
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/** `[context]` lines, oldest → newest. */
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lines: string[];
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}): string {
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const blocks: string[] = [];
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const location = input.location?.trim();
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if (location) blocks.push(location);
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const inner = [input.descriptor ?? "", ...input.lines]
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.map((line) => line.trim())
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.filter((line) => line.length > 0)
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.join("\n");
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if (inner) {
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blocks.push(
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`<conversation_context>\n${sanitizeAiContent(inner, CONVERSATION_CONTEXT_MAX_CHARS)}\n</conversation_context>`,
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);
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}
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return blocks.join("\n");
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}
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// ---------------------------------------------------------------------------
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// Per-message content bounds — protects the LLM token budget from a single
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// huge paste (stack traces, log dumps, copypasta). Truncation is explicit so
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// the model never mistakes the cut for a real message boundary.
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// ---------------------------------------------------------------------------
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/** Max characters of a message's content sent to the LLM `<content>` payload. */
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export const AI_CONTENT_MAX_CHARS = 4000;
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/** Marker appended when a message is longer than AI_CONTENT_MAX_CHARS. */
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export const AI_CONTENT_TRUNC_MARKER = "\n…[pesan dipotong: terlalu panjang]";
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/** Truncate a message's content for the LLM `<content>` payload. */
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export function truncateForAi(content: string): string {
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if (content.length <= AI_CONTENT_MAX_CHARS) return content;
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return `${content.slice(0, AI_CONTENT_MAX_CHARS)}${AI_CONTENT_TRUNC_MARKER}`;
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}
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// ---------------------------------------------------------------------------
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// User profile deduplication — a batch can contain many messages from the
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// same user. Instead of repeating the (up to 3000-char) profile summary on
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// every message, emit a single <user_profiles> map per batch and reference
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// entries per message with <user_profile_ref user_id="..."/>.
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// ---------------------------------------------------------------------------
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export interface UserProfileEntry {
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/** Profile summary text (from user_profiles.profile_summary). */
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text: string;
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/** Epoch ms when the profile was last generated — staleness signal for
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* the LLM (a profile from months ago may not reflect current behavior). */
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asOf?: number | null;
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}
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/** Build a deduplicated `<user_profiles>` map block, keyed by Discord user id. */
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export function buildUserProfilesBlock(
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profiles: ReadonlyMap<string, UserProfileEntry>,
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): string {
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const entries = Array.from(profiles.entries()).filter(
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([, entry]) => entry.text.trim().length > 0,
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);
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if (entries.length === 0) return "";
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const lines = entries.map(([userId, entry]) => {
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const asOfAttr =
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typeof entry.asOf === "number" && entry.asOf > 0
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? ` as_of="${new Date(entry.asOf).toISOString()}"`
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: "";
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return ` <user_profile user_id="${escapeXml(userId)}"${asOfAttr}>${sanitizeAiContent(entry.text)}</user_profile>`;
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});
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return `<user_profiles>\n${lines.join("\n")}\n</user_profiles>`;
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}
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/** Per-message reference tag pointing at an entry in the `<user_profiles>` map. */
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export function buildUserProfileRef(userId: string): string {
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return `<user_profile_ref user_id="${escapeXml(userId)}"/>`;
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}
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// ---------------------------------------------------------------------------
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// Per-user history context (last flagged messages only — no trust model).
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// context to AI moderation.
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// ---------------------------------------------------------------------------
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const DAY_MS = 24 * 60 * 60 * 1000;
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/**
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* Builds an optional `<user_history>` block (last flagged messages) from
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* getUserRecentInfractions rows. Only emitted when there is real history —
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* lets the LLM see the PATTERN (e.g. the same scam link posted repeatedly)
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* without treating old flags as proof for the current message.
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*/
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export function buildUserHistoryXml(
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history: Array<{
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content: string;
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severity: string | null;
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created_at: number;
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}>,
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now: number = Date.now(),
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): string {
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const filtered = history.filter((h) => h.content?.trim());
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if (filtered.length === 0) return "";
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const lines = filtered.map((h) => {
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const daysAgo = Math.max(0, Math.floor((now - h.created_at) / DAY_MS));
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const severityAttr = h.severity
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? ` severity="${escapeXml(h.severity)}"`
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: "";
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const snippet =
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h.content.length > 100
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? `${h.content.slice(0, 100).trimEnd()}…`
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: h.content;
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return ` <infraction${severityAttr} time_ago_days="${daysAgo}">${escapeXml(snippet)}</infraction>`;
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});
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return `<user_history>\n${lines.join("\n")}\n</user_history>`;
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}
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/**
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* Whether the message author was a bot (captured in metadata.author.bot).
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* Bot posts (logging bots, webhook-style automation) deserve different
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* scrutiny than user posts — expose the flag instead of hiding it.
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*/
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export function resolveIsBot(msg: MessageRecord): boolean {
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if (!msg.metadata) return false;
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try {
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const meta = JSON.parse(msg.metadata) as {
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author?: { bot?: boolean } | null;
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};
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return Boolean(meta?.author?.bot);
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} catch {
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return false;
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}
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}
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/** Whether the shown content is an EDIT of the original post (evasion signal). */
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export function resolveIsEdited(msg: MessageRecord): boolean {
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return Boolean(msg.edited_content);
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}
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/**
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* Returns the real text content for AI analysis, stripping fallback text
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* that getDisplayContent() synthesized ("[Attachment: ...]", "[Sticker: ...]",
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* "[Embed]"). These filenames alone are meaningless to the LLM and can
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* falsely inflate a "clean" verdict when the actual image failed to download.
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*/
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export function getAnalysisContent(message: MessageRecord): string {
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const raw = message.edited_content ?? message.content;
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const stripped = raw.replace(
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/\[(?:Attachment|Sticker):[^\]]*\]|\[Embed\]/g,
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"",
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);
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return sanitizeDiscordTokens(
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renderDiscordMentions(stripped, message.metadata),
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).trim();
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}
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/**
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* Server nickname (member.displayName) when captured, else the author
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* username. Discord shows the server nickname to other members, so the LLM
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* should see the same name the channel sees — and a nickname can carry
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* moderation signal itself (offensive nick + clean message → low warn).
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*/
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export function resolveDisplayName(msg: MessageRecord): string {
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if (msg.metadata) {
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try {
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const meta = JSON.parse(msg.metadata) as {
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member?: { displayName?: string | null } | null;
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};
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const dn = meta?.member?.displayName;
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if (dn && dn.trim().length > 0) return dn;
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} catch {
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// malformed metadata — fall back to username
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}
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}
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return msg.username;
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}
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/**
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* Builds a <reference> XML element for reply/forward/crosspost context.
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*/
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export async function buildReferenceXml(msg: MessageRecord): Promise<string> {
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const parts: string[] = [];
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if (msg.is_reply && msg.reference_message_id) {
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parts.push(`type="reply"`);
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} else if (msg.is_forward && msg.reference_message_id) {
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parts.push(`type="forward"`);
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}
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if (msg.is_crosspost) {
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parts.push(`type="crosspost"`);
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}
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if (!msg.reference_message_id) return "";
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let parentContent = "";
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if (msg.reference_message_id) {
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// 1. Try DB first — works for messages captured in the same server
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try {
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const parent = await messageStore.getMessageById(
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msg.reference_message_id,
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);
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if (parent) {
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const parentText = parent.edited_content ?? parent.content;
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parentContent = parentText.slice(0, 500);
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}
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} catch {
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// Parent fetch failed — fall through to metadata
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}
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// 2. Fall back to metadata — works for forwards from other servers/channels
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// where the original message was never captured in this DB.
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// The capture phase stores the snapshot content in metadata.reference.content.
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if (!parentContent && msg.metadata) {
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try {
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const meta = JSON.parse(msg.metadata);
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const refContent = meta?.reference?.content;
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if (refContent && typeof refContent === "string") {
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parentContent = refContent.slice(0, 500);
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}
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} catch {
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// Metadata parse failed — no fallback available
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}
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}
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}
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const attr = parts.join(" ");
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const parentXml = parentContent
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? `<parent_content>${escapeXml(parentContent)}</parent_content>`
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: "";
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return `<reference ${attr} message_id="${msg.reference_message_id}" channel_id="${msg.reference_channel_id ?? ""}" guild_id="${msg.reference_guild_id ?? ""}">${parentXml}</reference>`;
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}
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