feat(gmw): public features #7-14 — scam domains, top channels, hourly heatmap, category drill-down, coverage stats, channel culture glossary, term KB, edit history
ALSO fixes: dashboard.repository still JOINed dropped user_reputations table (listUsers/getUserDetail crash).
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@@ -5,7 +5,6 @@ import {
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pgChannelCulturesTable,
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pgMessagesTable,
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pgUserProfilesTable,
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pgUserReputationsTable,
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pgVoiceRecordingsTable,
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} from "../../shared/index.js";
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import type { ListUsersQuery } from "./dashboard.service.js";
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@@ -156,8 +155,7 @@ export class DashboardRepository {
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p.profile_summary,
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m.total_messages,
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m.flagged_count,
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m.last_message_at,
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r.trust_score
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m.last_message_at
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FROM (
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SELECT
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user_id,
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@@ -170,7 +168,6 @@ export class DashboardRepository {
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GROUP BY user_id, username, avatar_url
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) m
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LEFT JOIN ${pgUserProfilesTable} p ON p.user_id = m.user_id
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LEFT JOIN ${pgUserReputationsTable} r ON r.user_id = m.user_id
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${whereClause}
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ORDER BY m.last_message_at DESC NULLS LAST
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LIMIT ${limit + 1}
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@@ -186,10 +183,6 @@ export class DashboardRepository {
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total_messages: Number(r.total_messages),
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flagged_count: Number(r.flagged_count),
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last_message_at: r.last_message_at ? Number(r.last_message_at) : null,
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trust_score:
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r.trust_score !== null && r.trust_score !== undefined
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? Number(r.trust_score)
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: null,
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}));
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const lastRow = rows[limit - 1] as Record<string, unknown> | undefined;
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@@ -437,10 +430,7 @@ export class DashboardRepository {
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m.flagged_count,
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m.clean_count,
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p.profile_summary,
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p.last_analyzed_at,
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r.trust_score,
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r.clean_message_streak,
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r.total_infractions
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p.last_analyzed_at
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FROM (
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SELECT
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user_id,
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@@ -454,7 +444,6 @@ export class DashboardRepository {
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GROUP BY user_id, username, avatar_url
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) m
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LEFT JOIN ${pgUserProfilesTable} p ON p.user_id = m.user_id
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LEFT JOIN ${pgUserReputationsTable} r ON r.user_id = m.user_id
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`);
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const row = userResult.rows[0] as Record<string, unknown> | undefined;
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@@ -481,13 +470,6 @@ export class DashboardRepository {
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last_analyzed_at: row.last_analyzed_at
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? Number(row.last_analyzed_at)
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: null,
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trust_score: row.trust_score != null ? Number(row.trust_score) : null,
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clean_message_streak:
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row.clean_message_streak != null
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? Number(row.clean_message_streak)
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: null,
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total_infractions:
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row.total_infractions != null ? Number(row.total_infractions) : null,
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recent_messages: (recent.rows as Record<string, unknown>[]).map((r) => ({
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id: String(r.id),
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content: String(r.content),
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