import { initTRPC, TRPCError } from '@trpc/server';
import { z } from 'zod';
import type { SQLInputValue } from 'node:sqlite';
import { randomUUID } from 'node:crypto';
import type { Context } from './context.ts';
import { hashPassword, verifyPassword, createSession, clearCookie, oauthStateCookie, verifyOAuthState, OAUTH_STATE_COOKIE } from './context.ts';
import { generateBase32Secret, totp as computeTotp, verifyTotp, otpauthUrl } from '../auth/totp.ts';
import { generateBackupCodes, hashBackupCode } from '../auth/backup-codes.ts';
import { buildAuthorizeUrl, generateState, exchangeCode, type OAuthProvider } from '../auth/oauth.ts';
import {
  STARTER_WATCHLIST,
  starterPackFor,
  resolveWorkspaceDefaults,
  defaultDrawdownTolerancePct,
  defaultRiskTolerance,
  ONBOARDING_DISCLAIMER,
  type Complexity,
  type Density,
  type ExperienceStage,
  type Goal,
  type Horizon,
  type JargonComfort,
} from '../onboarding/starter.ts';
import type { Quote, PriceCandle, SymbolMeta } from '../cache/CacheRepository.ts';
import type { SymbolUniverseData } from '../screener/UniverseEvaluator.ts';
import type { ThesisEvent } from '../thesis/ThesisMonitor.ts';
import type { XCookieHealth } from '../adapters/XCookieAdapter.ts';
import { emaFromCandles, rsi as rsiFn, relativeVolume, macd as macdFn } from '../analysis/indicators.ts';
import { listUsers, resetPassword, gdprExport, queueHealth, alertStatus, resetQueueBackoff, NotOwnerError, listUserSessions, listAuditLog, queueSecFetch, setUserModules, disableUser, enableUser, deleteUser, getFinraBaseUrl, setFinraBaseUrl, recordAudit } from '../admin/admin.ts';
import { restartServers, type RestartTarget } from '../lib/restart.ts';
import type { LintResult } from '../services/secDataFetcher.ts';
import { computeOwnershipPercentages, fetchAndPersistFloat } from '../services/stockFloatService.ts';
import { EdgarAdapter } from '../adapters/EdgarAdapter.ts';
import { OptionsAdapter, parseOptionChainRows } from '../adapters/OptionsAdapter.ts';
import type { OptionChainRow, OptionGreeks } from '../adapters/OptionsAdapter.ts';
import { CONFLUENCE_SLOTS, slotsByFamily, type SlotFamily } from '../confluence/confluenceSlots.ts';
import { CONFLUENCE_SLOT_IDS } from '../confluence/confluenceSlots.ts';
import { ConfluenceRepository, rackFromSlots } from '../db/confluenceRepository.ts';
import { runSlotBacktest, signalHistoryToStats, type ConfluenceFireEvent } from '../confluence/confluenceBacktest.ts';
import { detectPictureChange } from '../confluence/confluenceRack.ts';

// ---------------------------------------------------------------------------
// X cookie credential helpers. Loads AES-256-GCM encrypted ct0/auth_token from
// DB and decrypts them per-request. Returns null when not configured.
// ---------------------------------------------------------------------------
type XCredentials = { ct0: string; auth_token: string };
async function loadXCredentials(ctx: Context): Promise<XCredentials | null> {
  const row = ctx.db.prepare('SELECT ct0_enc, auth_token_enc FROM x_credentials WHERE id=?').get('singleton') as { ct0_enc?: string | null; auth_token_enc?: string | null } | undefined;
  if (!row || !row.ct0_enc || !row.auth_token_enc) return null;
  const encryptMod = await import('../lib/crypto.ts');
  try {
    return { ct0: encryptMod.default.decrypt(row.ct0_enc), auth_token: encryptMod.default.decrypt(row.auth_token_enc) };
  } catch { return null; } // decrypt failure — treat as unconfigured.
}

function updateXHealth(db: any, status: 'healthy' | 'degraded' | 'failed', err?: string): void {
  try {
    db.prepare(
      `INSERT INTO x_credentials (id, healthy, last_error, updated_at) VALUES ('singleton', ?, ?, ?)
       ON CONFLICT(id) DO UPDATE SET healthy=excluded.healthy, last_error=excluded.last_error, updated_at=excluded.updated_at`
    ).run(status === 'healthy' ? 1 : 0, err ?? null, new Date().toISOString());
  } catch { /* ignore — health tracking is best-effort */ }
}

const t = initTRPC.context<Context>().create();
const router = t.router;
const publicProcedure = t.procedure;

const protectedProcedure = publicProcedure.use(({ ctx, next }) => {
  if (!ctx.userId) throw new TRPCError({ code: 'UNAUTHORIZED', message: 'Sign in required.' });
  const row = ctx.db.prepare('SELECT status FROM users WHERE id=?').get(ctx.userId) as { status: string } | undefined;
  if (!row) throw new TRPCError({ code: 'UNAUTHORIZED', message: 'User not found.' });
  if (row.status !== 'active') throw new TRPCError({ code: 'FORBIDDEN', message: row.status === 'pending_approval' ? 'Account pending admin approval.' : 'Account disabled.' });
  return next({ ctx });
});

// Admin-guarded procedures (Slice 25). Non-admin/anonymous → 403.
const adminProcedure = protectedProcedure.use(({ ctx, next }) => {
  const row = ctx.db.prepare('SELECT is_admin FROM users WHERE id=?').get(ctx.userId!) as { is_admin: number | null } | undefined;
  if (!row || !row.is_admin) throw new TRPCError({ code: 'FORBIDDEN', message: 'Admin access required.' });
  return next({ ctx });
});

function oauthCreds(provider: OAuthProvider): { clientId?: string; clientSecret?: string } {
  if (provider === 'github') return { clientId: process.env.GITHUB_CLIENT_ID, clientSecret: process.env.GITHUB_CLIENT_SECRET };
  return { clientId: process.env.GOOGLE_CLIENT_ID, clientSecret: process.env.GOOGLE_CLIENT_SECRET };
}

const authRouter = router({
  signup: publicProcedure
    .input(z.object({ email: z.string().email(), password: z.string().min(8) }))
    .mutation(async ({ ctx, input }) => {
      const email = input.email.toLowerCase();
      const existing = ctx.db.prepare('SELECT id FROM users WHERE email=?').get(email);
      if (existing) throw new TRPCError({ code: 'CONFLICT', message: 'That email is already registered.' });
      const userId = randomUUID();
      ctx.db.prepare('INSERT INTO users (id,email,pw_hash,status,created_at) VALUES (?,?,?,?,?)').run(userId, email, hashPassword(input.password), 'pending_approval', new Date().toISOString());
      return { userId, pending: true, message: 'Account created. An admin must approve your account before you can sign in.' };
    }),
  login: publicProcedure
    .input(z.object({ email: z.string().email(), password: z.string(), totp: z.string().optional() }))
    .mutation(async ({ ctx, input }) => {
      const email = input.email.toLowerCase();
      const row = ctx.db.prepare('SELECT id, pw_hash, is_2fa_enabled, totp_secret, status FROM users WHERE email=?').get(email) as { id: string; pw_hash: string; is_2fa_enabled: number; totp_secret: string | null; status: string } | undefined;
      if (!row || !verifyPassword(input.password, row.pw_hash)) throw new TRPCError({ code: 'UNAUTHORIZED', message: 'Invalid email or password.' });
      if (row.status !== 'active') throw new TRPCError({ code: 'FORBIDDEN', message: row.status === 'pending_approval' ? 'Account pending admin approval.' : 'Account disabled.' });
      if (row.is_2fa_enabled === 1) {
        if (!input.totp || !row.totp_secret || !verifyTotp(input.totp, row.totp_secret)) {
          throw new TRPCError({ code: 'UNAUTHORIZED', message: 'Two-factor code required or invalid.' });
        }
      }
      const { cookie } = createSession(ctx.db, row.id);
      ctx.resHeaders.append('Set-Cookie', cookie);
      return { userId: row.id };
    }),
  logout: publicProcedure.mutation(({ ctx }) => {
    ctx.resHeaders.append('Set-Cookie', clearCookie());
    return { ok: true };
  }),
  me: publicProcedure.query(({ ctx }) => {
    if (!ctx.userId) return null;
    const u = ctx.db.prepare(
      'SELECT id,email,complexity,risk_tolerance,convexity_posture,modules,experience_stage,goal,horizon,density,jargon_comfort FROM users WHERE id=?',
    ).get(ctx.userId) as {
      id: string;
      email: string;
      complexity: string;
      risk_tolerance: string;
      convexity_posture: string;
      modules: string;
      experience_stage: string | null;
      goal: string | null;
      horizon: string | null;
      density: string | null;
      jargon_comfort: string | null;
    } | undefined;
    const wl = ctx.db.prepare('SELECT 1 FROM watchlists WHERE owner_id=? LIMIT 1').get(ctx.userId);
    let modules: string[] = ['research', 'settings'];
    try { modules = JSON.parse(u?.modules ?? '["research","settings"]'); } catch { /* keep default */ }
    if (u?.id) {
      const adminRow = ctx.db.prepare('SELECT is_admin FROM users WHERE id=?').get(u.id) as { is_admin: number } | undefined;
      if (adminRow?.is_admin && !modules.includes('admin')) modules.push('admin');
    }
    const density = (u?.density === 'standard' || u?.density === 'full' || u?.density === 'focused')
      ? u.density
      : (u?.complexity === 'advanced' ? 'full' : u?.complexity === 'intermediate' ? 'standard' : 'focused');
    return u ? {
      userId: u.id,
      email: u.email,
      complexity: u.complexity,
      riskTolerance: u.risk_tolerance,
      convexityPosture: u.convexity_posture,
      onboarded: !!wl,
      modules,
      experienceStage: u.experience_stage,
      goal: u.goal,
      horizon: u.horizon,
      density,
      jargonComfort: u.jargon_comfort ?? 'plain',
    } : null;
  }),
  enable2fa: protectedProcedure.input(z.object({})).mutation(async ({ ctx }) => {
    const userId = ctx.userId as string;
    const u = ctx.db.prepare('SELECT email FROM users WHERE id=?').get(userId) as { email: string } | undefined;
    const secret = generateBase32Secret();
    const codes = generateBackupCodes(10);
    const hashes = codes.map((c) => hashBackupCode(c));
    ctx.db.prepare('UPDATE users SET totp_secret=?, backup_codes_hashed=? WHERE id=?').run(secret, JSON.stringify(hashes), userId);
    return { totpSecret: secret, qrUrl: otpauthUrl(secret, 'Investor Flow', u?.email ?? 'user'), backupCodes: codes };
  }),
  confirm2fa: protectedProcedure.input(z.object({ totp: z.string() })).mutation(async ({ ctx, input }) => {
    const userId = ctx.userId as string;
    const row = ctx.db.prepare('SELECT totp_secret FROM users WHERE id=?').get(userId) as { totp_secret: string | null } | undefined;
    if (!row?.totp_secret) throw new TRPCError({ code: 'BAD_REQUEST', message: 'Enable two-factor first.' });
    if (!verifyTotp(input.totp, row.totp_secret)) throw new TRPCError({ code: 'UNAUTHORIZED', message: 'Invalid two-factor code.' });
    ctx.db.prepare('UPDATE users SET is_2fa_enabled=1 WHERE id=?').run(userId);
    return { ok: true };
  }),
  // Slice 2b — OAuth start: return the provider authorize URL + set a CSRF state cookie.
  oauthStart: publicProcedure
    .input(z.object({ provider: z.enum(['github', 'google']), redirectUri: z.string().url() }))
    .mutation(({ ctx, input }) => {
      const creds = oauthCreds(input.provider);
      if (!creds.clientId || !creds.clientSecret) throw new TRPCError({ code: 'BAD_REQUEST', message: 'OAuth provider not configured.' });
      const state = generateState();
      ctx.resHeaders.append('Set-Cookie', oauthStateCookie(input.provider, state, input.redirectUri));
      return { redirectUrl: buildAuthorizeUrl(input.provider, { clientId: creds.clientId, redirectUri: input.redirectUri, state }), state };
    }),
  // Slice 2b — OAuth callback: verify CSRF state, exchange code, find/link/create user, start a session.
  oauthCallback: publicProcedure
    .input(z.object({ provider: z.enum(['github', 'google']), code: z.string(), state: z.string(), redirectUri: z.string().url() }))
    .mutation(async ({ ctx, input }) => {
      if (!verifyOAuthState(ctx.cookies[OAUTH_STATE_COOKIE], input.provider, input.state, input.redirectUri)) {
        throw new TRPCError({ code: 'BAD_REQUEST', message: 'Invalid OAuth state.' });
      }
      const creds = oauthCreds(input.provider);
      if (!creds.clientId || !creds.clientSecret) throw new TRPCError({ code: 'BAD_REQUEST', message: 'OAuth provider not configured.' });
      const info = await exchangeCode(input.provider, input.code, { clientId: creds.clientId, clientSecret: creds.clientSecret, redirectUri: input.redirectUri });
      const subject = info.providerSubject;
      const email = info.email.toLowerCase();
      if (!subject || !email) throw new TRPCError({ code: 'BAD_REQUEST', message: 'Provider did not return a usable identity.' });
      // existing link?
      let row = ctx.db.prepare('SELECT id FROM users WHERE oauth_subject=? AND oauth_provider=?').get(subject, input.provider) as { id: string } | undefined;
      if (!row) {
        // link existing account by email, else create an OAuth-only account (sentinel pw_hash)
        const byEmail = ctx.db.prepare('SELECT id FROM users WHERE email=?').get(email) as { id: string } | undefined;
        const userId = byEmail?.id ?? randomUUID();
        if (byEmail) {
          ctx.db.prepare('UPDATE users SET oauth_subject=?, oauth_provider=? WHERE id=?').run(subject, input.provider, userId);
        } else {
          ctx.db.prepare('INSERT INTO users (id,email,pw_hash,oauth_subject,oauth_provider,created_at) VALUES (?,?,?,?,?,?)').run(userId, email, 'oauth', subject, input.provider, new Date().toISOString());
        }
        row = { id: userId };
      }
      const { cookie } = createSession(ctx.db, row.id);
      ctx.resHeaders.append('Set-Cookie', cookie);
      return { userId: row.id };
    }),
});

const onboardingRouter = router({
  // Public: starter symbols for a density (default focused). Used in workspace setup preview.
  starter: publicProcedure
    .input(z.object({
      density: z.enum(['focused', 'standard', 'full']).optional(),
      experienceStage: z.enum(['never_invested', 'some_stocks', 'active_self_directed']).optional(),
    }).optional())
    .query(({ input }) => {
      const density: Density = input?.density
        ?? (input?.experienceStage === 'active_self_directed'
          ? 'full'
          : input?.experienceStage === 'some_stocks'
            ? 'standard'
            : 'focused');
      const pack = starterPackFor(density);
      return { watchlist: pack, density, disclaimer: ONBOARDING_DISCLAIMER };
    }),
  // Protected: interview → workspace profile + first watchlist + optional portfolio.
  complete: protectedProcedure
    .input(z.object({
      // Preferred interview path
      experienceStage: z.enum(['never_invested', 'some_stocks', 'active_self_directed']).optional(),
      goal: z.enum(['grow', 'income', 'protect']).optional(),
      horizon: z.enum(['short', 'medium', 'long']).optional(),
      density: z.enum(['focused', 'standard', 'full']).optional(),
      jargonComfort: z.enum(['plain', 'mixed', 'technical']).optional(),
      // Legacy path (still accepted)
      complexity: z.enum(['beginner', 'intermediate', 'advanced']).optional(),
      riskTolerance: z.enum(['conservative', 'moderate', 'aggressive']).optional(),
      drawdownTolerancePct: z.number().optional(),
      firstWatchlistSymbols: z.array(z.string()).optional(),
      portfolio: z.array(z.object({ symbol: z.string(), qty: z.number(), avgCost: z.number(), acquiredAt: z.string() })).optional(),
    }))
    .mutation(async ({ ctx, input }) => {
      const userId = ctx.userId as string;
      const experienceStage: ExperienceStage = input.experienceStage
        ?? (input.complexity === 'advanced'
          ? 'active_self_directed'
          : input.complexity === 'intermediate'
            ? 'some_stocks'
            : 'never_invested');
      const defaults = resolveWorkspaceDefaults({
        experienceStage,
        goal: input.goal as Goal | undefined,
        horizon: input.horizon as Horizon | undefined,
        density: input.density as Density | undefined,
        jargonComfort: input.jargonComfort as JargonComfort | undefined,
      });
      const complexity = (input.complexity ?? defaults.complexity) as Complexity;
      const riskTolerance = input.riskTolerance ?? defaults.riskTolerance;
      const drawdown = input.drawdownTolerancePct ?? defaults.drawdownTolerancePct;
      ctx.db.prepare(
        `UPDATE users SET complexity=?, risk_tolerance=?, drawdown_tolerance=?,
          experience_stage=?, goal=?, horizon=?, density=?, jargon_comfort=? WHERE id=?`,
      ).run(
        complexity,
        riskTolerance,
        drawdown,
        defaults.experienceStage,
        defaults.goal,
        defaults.horizon,
        defaults.density,
        defaults.jargonComfort,
        userId,
      );
      const pack = defaults.starterPack;
      const symbols = input.firstWatchlistSymbols ?? pack.map((s) => s.symbol);
      const existingWl = ctx.db.prepare('SELECT id FROM watchlists WHERE owner_id=? LIMIT 1').get(userId) as { id: string } | undefined;
      let wlId = existingWl?.id;
      if (!wlId) {
        wlId = randomUUID();
        ctx.db.prepare('INSERT INTO watchlists (id, owner_id, name, symbols, created_at, sort_order) VALUES (?,?,?,?,?,?)').run(
          wlId, userId, 'default', JSON.stringify(symbols), new Date().toISOString(), 0,
        );
      }
      const allKnown = [...STARTER_WATCHLIST, ...starterPackFor('full')];
      for (const sym of symbols) {
        const kind = (allKnown.find((s) => s.symbol === sym)?.tickerKind
          ?? pack.find((s) => s.symbol === sym)?.tickerKind
          ?? 'equity') as 'equity' | 'crypto' | 'etf' | 'index';
        try { await ctx.cache.subscribe(sym, kind); } catch { /* ignore */ }
        try { queueSecFetch(ctx.db, sym); } catch { /* ignore */ }
      }
      try {
        const { materializeClassificationWatchlists } = await import('../db/watchlistRepository.ts');
        materializeClassificationWatchlists(ctx.db, userId);
      } catch { /* ignore — sector data not available yet */ }
      if (input.portfolio) {
        const ins = ctx.db.prepare('INSERT INTO portfolio_holdings (id, owner_id, symbol, qty, avg_cost, acquired_at, status) VALUES (?,?,?,?,?,?,?)');
        for (const h of input.portfolio) ins.run(randomUUID(), userId, h.symbol.toUpperCase(), h.qty, h.avgCost, h.acquiredAt, 'open');
      }
      return {
        ok: true,
        watchlistId: wlId,
        density: defaults.density,
        complexity,
        experienceStage: defaults.experienceStage,
      };
    }),
  // Protected: update workspace profile after onboarding (density, goal, jargon) without re-seeding watchlist.
  updateProfile: protectedProcedure
    .input(z.object({
      experienceStage: z.enum(['never_invested', 'some_stocks', 'active_self_directed']).optional(),
      goal: z.enum(['grow', 'income', 'protect']).optional(),
      horizon: z.enum(['short', 'medium', 'long']).optional(),
      density: z.enum(['focused', 'standard', 'full']).optional(),
      jargonComfort: z.enum(['plain', 'mixed', 'technical']).optional(),
    }))
    .mutation(({ ctx, input }) => {
      const userId = ctx.userId as string;
      const row = ctx.db.prepare(
        'SELECT experience_stage, goal, horizon, density, jargon_comfort, complexity FROM users WHERE id=?',
      ).get(userId) as {
        experience_stage: string | null;
        goal: string | null;
        horizon: string | null;
        density: string | null;
        jargon_comfort: string | null;
        complexity: string;
      } | undefined;
      if (!row) throw new TRPCError({ code: 'NOT_FOUND', message: 'User not found.' });

      const experienceStage = (input.experienceStage
        ?? row.experience_stage
        ?? 'never_invested') as ExperienceStage;
      const density = (input.density ?? row.density ?? 'focused') as Density;
      const goal = (input.goal ?? row.goal ?? 'grow') as Goal;
      const horizon = (input.horizon ?? row.horizon ?? 'long') as Horizon;
      const jargonComfort = (input.jargonComfort ?? row.jargon_comfort ?? 'plain') as JargonComfort;
      const complexity = complexityFromExperienceSafe(experienceStage);

      ctx.db.prepare(
        `UPDATE users SET experience_stage=?, goal=?, horizon=?, density=?, jargon_comfort=?, complexity=? WHERE id=?`,
      ).run(experienceStage, goal, horizon, density, jargonComfort, complexity, userId);

      return { ok: true, experienceStage, goal, horizon, density, jargonComfort, complexity };
    }),
});

function complexityFromExperienceSafe(stage: ExperienceStage): Complexity {
  if (stage === 'active_self_directed') return 'advanced';
  if (stage === 'some_stocks') return 'intermediate';
  return 'beginner';
}

const marketRouter = router({
  snapshot: publicProcedure
    .input(z.object({ symbol: z.string().min(1) }))
    .query(async ({ ctx, input }) => {
      const symbol = input.symbol.toUpperCase();
      const k = { quote: `yfinance:quote:${symbol}`, candles: `yfinance:candles:${symbol}:1d`, sector: `yfinance:symbol:${symbol}` };
      const entries = await ctx.cache.getMany<unknown>([k.quote, k.candles, k.sector]);
      const byKey = new Map(entries.map((e) => [e.key, e]));
      const val = <T>(key: string): T | null => (byKey.get(key)?.value ?? null) as T | null;
      const stale = (key: string): boolean => byKey.get(key)?.isStale ?? true;
      return {
        symbol,
        quote: val<Quote>(k.quote),
        candles: val<PriceCandle[]>(k.candles),
        sector: val<SymbolMeta>(k.sector),
        stale: { quote: stale(k.quote), candles: stale(k.candles), sector: stale(k.sector) },
      };
    }),

  /**
   * Batched snapshot for multiple symbols — reduces N+1 API calls.
   * Used by portfolio/watchlist views that need quotes for many symbols at once.
   */
  snapshots: publicProcedure
    .input(z.object({ symbols: z.array(z.string().min(1)).max(50) }))
    .query(async ({ ctx, input }) => {
      const symbols = input.symbols.map((s) => s.toUpperCase());
      // Build all cache keys at once
      const keys = symbols.flatMap((symbol) => [
        `yfinance:quote:${symbol}`,
        `yfinance:candles:${symbol}:1d`,
        `yfinance:symbol:${symbol}`,
      ]);
      
      // Batch read all at once
      const entries = await ctx.cache.getMany<unknown>(keys);
      const byKey = new Map(entries.map((e) => [e.key, e]));
      
      // Group results by symbol
      const results: Array<{
        symbol: string;
        quote: Quote | null;
        candles: PriceCandle[] | null;
        sector: SymbolMeta | null;
        stale: { quote: boolean; candles: boolean; sector: boolean };
      }> = [];
      
      for (const symbol of symbols) {
        const kQuote = `yfinance:quote:${symbol}`;
        const kCandles = `yfinance:candles:${symbol}:1d`;
        const kSector = `yfinance:symbol:${symbol}`;
        
        results.push({
          symbol,
          quote: byKey.get(kQuote)?.value as Quote | null ?? null,
          candles: byKey.get(kCandles)?.value as PriceCandle[] | null ?? null,
          sector: byKey.get(kSector)?.value as SymbolMeta | null ?? null,
          stale: {
            quote: byKey.get(kQuote)?.isStale ?? true,
            candles: byKey.get(kCandles)?.isStale ?? true,
            sector: byKey.get(kSector)?.isStale ?? true,
          },
        });
      }
      
      return results;
    }),

  /**
   * Focused-ticker context: performance vs market, sector/theme proxies, and peers.
   * Educational relative snapshot (ADR-0007).
   */
  tickerContext: publicProcedure
    .input(z.object({ symbol: z.string().min(1) }))
    .query(async ({ ctx, input }) => {
      const {
        returnsBundle,
        buildTickerContext,
        relativeTo,
        resolveBusinessContext,
      } = await import('../analysis/tickerContext.ts');
      const {
        MARKET_ROTATION_UNIVERSE,
        BENCHMARK_SYMBOL,
        buildSectorRsMap,
      } = await import('../analysis/marketRotationRs.ts');
      const { classifyRegime } = await import('../macro/MacroRegime.ts');

      const symbol = input.symbol.toUpperCase();
      try { await ctx.cache.ensureInDemand(symbol, 'equity'); } catch { /* ignore */ }
      try { await ctx.cache.ensureInDemand(BENCHMARK_SYMBOL, 'etf'); } catch { /* ignore */ }

      const metaEntry = await ctx.cache.get<SymbolMeta>(`yfinance:symbol:${symbol}`);
      const meta = metaEntry.value;
      const name = meta?.name ?? null;
      const sectorName = meta?.sector ?? null;
      const industry = meta?.industry ?? null;
      const tickerKind = meta?.tickerKind ?? 'equity';
      const description = meta?.description ?? null;

      // Prefer operating-profile resolution over raw Yahoo GICS (fixes IREN→XLF etc.).
      const biz = resolveBusinessContext({
        symbol,
        sector: sectorName,
        industry,
        description,
      });
      const sectorMap = biz.sectorEtf ? { etf: biz.sectorEtf, label: biz.sectorLabel ?? biz.sectorEtf } : null;
      const themeMap = biz.themeEtf ? { etf: biz.themeEtf, label: biz.themeLabel ?? biz.themeEtf } : null;

      // Peers: curated override first, then vendor peers, then sector-ETF holdings cache (never live Yahoo on request path).
      let peerSymbols: string[] = biz.peers.length > 0
        ? biz.peers.filter((p) => p !== symbol)
        : Array.isArray(meta?.peers)
          ? (meta!.peers as string[]).map((p) => String(p).toUpperCase()).filter((p) => p && p !== symbol)
          : [];

      if (peerSymbols.length === 0 && sectorMap && !biz.blockSectorEtfPeers) {
        try {
          const holdEntry = await ctx.cache.get<{ holdings?: Array<{ symbol?: string }> }>(
            `yfinance:topHoldings:${sectorMap.etf}`,
          );
          const holdings = holdEntry.value?.holdings ?? [];
          peerSymbols = holdings
            .map((h) => (h.symbol ?? '').toUpperCase())
            .filter((p) => p && p !== symbol)
            .slice(0, 8);
          // Also try kv_cache layout used by sectorHoldings
          if (peerSymbols.length === 0) {
            const row = ctx.db.prepare('SELECT value FROM kv_cache WHERE key=?').get(`etf:topHoldings:${sectorMap.etf}`) as
              | { value: string }
              | undefined;
            if (row?.value) {
              const parsed = JSON.parse(row.value) as { holdings?: Array<{ symbol?: string }> };
              peerSymbols = (parsed.holdings ?? [])
                .map((h) => (h.symbol ?? '').toUpperCase())
                .filter((p) => p && p !== symbol)
                .slice(0, 8);
            }
          }
        } catch { /* cache peer pull optional */ }
      }

      const symbolsToLoad = Array.from(new Set([
        symbol,
        BENCHMARK_SYMBOL,
        ...(sectorMap ? [sectorMap.etf] : []),
        ...(themeMap ? [themeMap.etf] : []),
        ...peerSymbols.slice(0, 8),
      ]));

      for (const s of symbolsToLoad) {
        const kind = s === BENCHMARK_SYMBOL || MARKET_ROTATION_UNIVERSE.some((u) => u.symbol === s) ? 'etf' : 'equity';
        try { await ctx.cache.ensureInDemand(s, kind); } catch { /* ignore */ }
      }

      const candleKeys = symbolsToLoad.map((s) => `yfinance:candles:${s}:1d`);
      const candleEntries = await ctx.cache.getMany<PriceCandle[]>(candleKeys);
      const candlesBySym = new Map<string, PriceCandle[]>();
      symbolsToLoad.forEach((s, i) => {
        candlesBySym.set(s, (candleEntries[i]?.value ?? []) as PriceCandle[]);
      });

      const toPts = (arr: PriceCandle[]) => arr.map((c) => ({ ts: c.ts, c: c.c, v: c.v }));
      const symbolReturns = returnsBundle(toPts(candlesBySym.get(symbol) ?? []));
      const marketReturns = returnsBundle(toPts(candlesBySym.get(BENCHMARK_SYMBOL) ?? []));
      const sectorReturns = sectorMap
        ? returnsBundle(toPts(candlesBySym.get(sectorMap.etf) ?? []))
        : null;
      const themeReturns = themeMap
        ? returnsBundle(toPts(candlesBySym.get(themeMap.etf) ?? []))
        : null;

      // Sector leadership from RS map when possible.
      let sectorLeadership: 'leading' | 'lagging' | 'inline' | 'unknown' | null = null;
      try {
        const rotSymbols = [BENCHMARK_SYMBOL, ...MARKET_ROTATION_UNIVERSE.map((u) => u.symbol)];
        const rotKeys = rotSymbols.map((s) => `yfinance:candles:${s}:1d`);
        const rotEntries = await ctx.cache.getMany<PriceCandle[]>(rotKeys);
        const map: Record<string, PriceCandle[]> = {};
        rotSymbols.forEach((s, i) => { map[s] = (rotEntries[i]?.value ?? []) as PriceCandle[]; });
        const rows = buildSectorRsMap(MARKET_ROTATION_UNIVERSE, map, map[BENCHMARK_SYMBOL] ?? []);
        if (sectorMap) {
          const row = rows.find((r) => r.symbol === sectorMap.etf);
          sectorLeadership = row?.leadership ?? null;
        }
      } catch { /* optional */ }

      // Market regime from available FRED/SPY factors (same soft path as condition).
      let marketRegime: 'trending-up' | 'trending-down' | 'range-bound' | null = null;
      let marketRegimeConfidence: number | null = null;
      try {
        const regimeInput: Record<string, number> = {};
        const spy = candlesBySym.get(BENCHMARK_SYMBOL) ?? [];
        if (spy.length >= 50) {
          const last = spy[spy.length - 1].c;
          const ago = spy[spy.length - 50].c;
          if (ago > 0) regimeInput.spyEmaSlope = ((last - ago) / ago) * 100;
        }
        try {
          const vixEntry = await ctx.cache.get<Quote>('yfinance:quote:^VIX');
          if (vixEntry?.value?.price != null) regimeInput.vix = vixEntry.value.price;
        } catch { /* ignore */ }
        const classification = classifyRegime(regimeInput);
        marketRegime = classification.regime;
        marketRegimeConfidence = classification.confidence;
      } catch { /* ignore */ }

      const peers = peerSymbols.slice(0, 8).map((p) => {
        const ret = returnsBundle(toPts(candlesBySym.get(p) ?? []));
        return {
          symbol: p,
          name: null as string | null,
          returns: ret,
          rsVsMarket1M: relativeTo(ret.oneMonth, marketReturns.oneMonth),
        };
      });

      // Optional peer names from symbol meta cache.
      for (const p of peers) {
        try {
          const pe = await ctx.cache.get<SymbolMeta>(`yfinance:symbol:${p.symbol}`);
          if (pe.value?.name) p.name = pe.value.name;
        } catch { /* ignore */ }
      }

      return buildTickerContext({
        symbol,
        name,
        sector: sectorName,
        industry,
        tickerKind,
        symbolReturns,
        marketReturns,
        marketRegime,
        marketRegimeConfidence,
        sectorEtf: sectorMap?.etf ?? null,
        sectorLabel: sectorMap?.label ?? sectorName,
        sectorReturns,
        sectorLeadership,
        themeEtf: themeMap?.etf ?? null,
        themeLabel: themeMap?.label ?? null,
        themeReturns,
        peers,
        classificationNote: biz.classificationNote,
        vendorSector: biz.vendorSector,
        vendorIndustry: biz.vendorIndustry,
      });
    }),

  candles: publicProcedure
    .input(z.object({ symbol: z.string().min(1), timeframe: z.enum(['1d', '1wk', '1mo']).default('1d') }))
    .query(async ({ ctx, input }) => {
      const symbol = input.symbol.toUpperCase();
      const key = `yfinance:candles:${symbol}:${input.timeframe}`;
      const entry = await ctx.cache.get<PriceCandle[]>(key);
      return { symbol, timeframe: input.timeframe, candles: (entry.value ?? []), isStale: entry.isStale };
    }),
  indicators: publicProcedure
    .input(z.object({
      symbol: z.string().min(1),
      timeframe: z.enum(['1d', '1wk', '1mo']).default('1d'),
      periods: z.object({
        ema: z.array(z.number().int()).default([9, 21, 50, 200]),
        rsi: z.number().int().default(14),
        relvol: z.number().int().default(20),
      }).default(() => ({ ema: [9, 21, 50, 200], rsi: 14, relvol: 20 })),
    }))
    .query(async ({ ctx, input }) => {
      const symbol = input.symbol.toUpperCase();
      const key = `yfinance:candles:${symbol}:${input.timeframe}`;
      const entry = await ctx.cache.get<PriceCandle[]>(key);
      const candles = entry.value ?? [];
      const periods = input.periods ?? { ema: [9, 21, 50, 200], rsi: 14, relvol: 20 };
      const closes = candles.map((c) => c.c);
      const volumes = candles.map((c) => c.v);
      const emaObj: Record<string, (number | undefined)[]> = {};
      for (const p of periods.ema) {
        emaObj[String(p)] = emaFromCandles(candles, 'adjClose', p);
      }
      const macdResult = macdFn(closes);
      return {
        ema: emaObj,
        rsi: rsiFn(closes, periods.rsi),
        relvol: relativeVolume(volumes, periods.relvol),
        macd: macdResult,
      };
    }),
  truckSales: publicProcedure.query(async ({ ctx }) => {
    const row = ctx.db.prepare('SELECT fred_api_key_enc FROM x_credentials WHERE id=?').get('singleton') as { fred_api_key_enc?: string | null } | undefined;
    let apiKey = '';
    if (row?.fred_api_key_enc) {
      const { default: encrypt } = await import('../lib/crypto.ts');
      try { apiKey = encrypt.decrypt(row.fred_api_key_enc); } catch { /* key corrupt */ }
    }
    if (!apiKey) {
      return { observations: [], seriesTitle: 'Heavy Trucks Sold, Monthly', units: '', configured: false, error: 'FRED API key not configured' };
    }
    try {
      const { FredAdapterImpl, FRED_SERIES } = await import('../macro/FredAdapter.ts');
      const adapter = new FredAdapterImpl(apiKey);
      const entry = await adapter.series(FRED_SERIES.HEAVY_TRUCK_SALES);
      const series = entry.value as { seriesId: string; title: string; units: string; observations: Array<{ date: string; value: number }> };
      return { observations: series.observations, seriesTitle: series.title, units: series.units, configured: true };
    } catch (e) {
      return { observations: [], seriesTitle: 'Heavy Trucks Sold, Monthly', units: '', configured: true, error: (e as Error).message };
    }
  }),
  manufacturingPmi: publicProcedure.query(async ({ ctx }) => {
    const row = ctx.db.prepare('SELECT fred_api_key_enc FROM x_credentials WHERE id=?').get('singleton') as { fred_api_key_enc?: string | null } | undefined;
    let apiKey = '';
    if (row?.fred_api_key_enc) {
      const { default: encrypt } = await import('../lib/crypto.ts');
      try { apiKey = encrypt.decrypt(row.fred_api_key_enc); } catch { /* key corrupt */ }
    }
    if (!apiKey) {
      return { observations: [], seriesTitle: 'Industrial Production: Manufacturing', units: '', configured: false, error: 'FRED API key not configured' };
    }
    try {
      const { FredAdapterImpl, FRED_SERIES } = await import('../macro/FredAdapter.ts');
      const adapter = new FredAdapterImpl(apiKey);
      const entry = await adapter.series(FRED_SERIES.MANUFACTURING_ACTIVITY);
      const series = entry.value as { seriesId: string; title: string; units: string; observations: Array<{ date: string; value: number }> };
      return { observations: series.observations, seriesTitle: series.title, units: series.units, configured: true };
    } catch (e) {
      return { observations: [], seriesTitle: 'Industrial Production: Manufacturing', units: '', configured: true, error: (e as Error).message };
    }
  }),
  /**
   * Market Condition strip — regime + risk flags.
   * FRED series are queue-warmed (fred schedule, fred_macro tier) — never fetched
   * live on this request path. SPY/VIX from yfinance cache only.
   * Educational snapshot only (ADR-0007).
   */
  condition: publicProcedure.query(async ({ ctx }) => {
    const { classifyRegime } = await import('../macro/MacroRegime.ts');
    const { totalReturnPct } = await import('../analysis/marketRotationRs.ts');
    const { FRED_SERIES } = await import('../macro/FredAdapter.ts');

    const factors: Record<string, number | null> = {
      gdpGrowth: null,
      cpi: null,
      unemployment: null,
      treasury10Y: null,
      treasury2Y: null,
      curve10y2y: null,
      vix: null,
      spy1M: null,
      spyEmaSlope: null,
      consumerSentiment: null,
    };

    type FredObs = Array<{ date: string; value: number }>;

    /**
     * FRED observations: kv_cache only (queue warms it). If cold/stale, queue a
     * background warm-up and return null — never open a live FRED call here.
     */
    async function fredObs(seriesId: string): Promise<FredObs | null> {
      const cacheKey = `fred:series:${seriesId}`;
      try {
        const row = ctx.db.prepare('SELECT value, observed_at FROM kv_cache WHERE key=?').get(cacheKey) as
          | { value: string; observed_at: string } | undefined;
        if (row?.value) {
          const age = Date.now() - Date.parse(row.observed_at);
          const parsed = JSON.parse(row.value) as { observations?: FredObs };
          const obs = parsed.observations;
          if (obs?.length && Number.isFinite(age) && age < 24 * 60 * 60_000) {
            return obs;
          }
        }
      } catch { /* miss */ }

      // Cold or stale: queue warm-up for the scheduler (no live fetch on request path).
      try { await ctx.queue.queue(cacheKey); } catch { /* ignore */ }
      return null;
    }

    function lastValue(obs: FredObs | null): number | null {
      if (!obs?.length) return null;
      const v = obs[obs.length - 1].value;
      return Number.isFinite(v) ? v : null;
    }

    /** YoY % from monthly index series (needs ~13 observations). */
    function yoyPct(obs: FredObs | null): number | null {
      if (!obs || obs.length < 13) return lastValue(obs);
      const last = obs[obs.length - 1].value;
      const yearAgo = obs[obs.length - 13].value;
      if (!yearAgo || yearAgo === 0) return null;
      return ((last - yearAgo) / yearAgo) * 100;
    }

    // Parallel FRED pulls (rates, labor, inflation, consumer sentiment).
    const [unrateObs, gs10Obs, gs2Obs, cpiObs, umcObs] = await Promise.all([
      fredObs(FRED_SERIES.UNEMPLOYMENT),
      fredObs(FRED_SERIES.TREASURY_10Y),
      fredObs(FRED_SERIES.TREASURY_2Y),
      fredObs(FRED_SERIES.CPI),
      fredObs(FRED_SERIES.CONSUMER_SENTIMENT),
    ]);
    factors.unemployment = lastValue(unrateObs);
    factors.treasury10Y = lastValue(gs10Obs);
    factors.treasury2Y = lastValue(gs2Obs);
    factors.cpi = yoyPct(cpiObs); // classifier expects inflation %, not CPI index level
    factors.consumerSentiment = lastValue(umcObs); // UMCSENT: University of Michigan Consumer Sentiment Index (index level, not YoY)
    if (factors.treasury10Y !== null && factors.treasury2Y !== null) {
      factors.curve10y2y = factors.treasury10Y - factors.treasury2Y;
    }

    // SPY trend + VIX from cache/queue only (ADR-0009: no live Yahoo on request path).
    let spyCandles: PriceCandle[] = [];
    try {
      try { await ctx.cache.ensureInDemand('SPY', 'etf'); } catch { /* ignore */ }
      try { await ctx.cache.ensureInDemand('^VIX', 'index'); } catch { /* ignore */ }
      const spyEntry = await ctx.cache.get<PriceCandle[]>('yfinance:candles:SPY:1d');
      spyCandles = (spyEntry?.value ?? []) as PriceCandle[];
      factors.spy1M = totalReturnPct(spyCandles, 30 * 86_400_000);
      if (spyCandles.length >= 60) {
        const last = spyCandles[spyCandles.length - 1].c;
        const ago = spyCandles[spyCandles.length - 50].c;
        if (ago > 0) factors.spyEmaSlope = ((last - ago) / ago) * 100;
      }
    } catch { /* ignore */ }

    try {
      const vixEntry = await ctx.cache.get<Quote>('yfinance:quote:^VIX');
      if (vixEntry?.value?.price != null) factors.vix = vixEntry.value.price;
      else {
        const vixC = await ctx.cache.get<PriceCandle[]>('yfinance:candles:^VIX:1d');
        const arr = vixC?.value as PriceCandle[] | undefined;
        if (arr?.length) factors.vix = arr[arr.length - 1].c;
      }
      // Queue VIX quote if still cold — never open a live Yahoo call here (shared cool-down).
      if (factors.vix == null) {
        try { await ctx.queue.queue('yfinance:quote:^VIX'); } catch { /* ignore */ }
      }
    } catch { /* ignore */ }

    // Per-metric context strings (hover tooltips explaining what each value means).
    function trailingAvg(obs: Array<{value: number}>, n: number): number | null {
      if (!obs || obs.length < n) return null;
      const recent = obs.slice(-n);
      let sum = 0;
      for (const o of recent) sum += o.value;
      return sum / n;
    }

    const metricCtx: Record<string, string> = {};

    // SPY 1M — current vs trailing ~6mo average return.
    if (factors.spy1M != null && spyCandles.length >= 126) {
      const recent = spyCandles.slice(-127, -1); // last ~5 months minus today
      if (recent.length >= 2) {
        const firstPrice = recent[0].c;
        const lastPrice = recent[recent.length - 1].c;
        if (firstPrice > 0) {
          const avgReturn = ((lastPrice - firstPrice) / firstPrice) * 100;
          const label = factors.spy1M > avgReturn ? 'above trend' : 'below trend';
          metricCtx.spy1M = label;
        }
      }
    }

    // VIX — regime-based interpretation (no advice language).
    if (factors.vix != null) {
      const v = factors.vix;
      if (v < 15) metricCtx.vix = 'Low volatility — risk-on regime';
      else if (v < 20) metricCtx.vix = 'Normal range';
      else if (v < 30) metricCtx.vix = 'Elevated — historically precedes drawdowns';
      else metricCtx.vix = 'Stressed — risk-off / crisis territory';
    }

    // Treasury 10Y vs rolling ~3mo average.
    if (factors.treasury10Y != null && gs10Obs?.length) {
      const last = factors.treasury10Y;
      const avg3m = trailingAvg(gs10Obs, Math.min(63, gs10Obs.length));
      if (avg3m != null) {
        const diff = last - avg3m;
        metricCtx.treasury10Y = diff > 0
          ? 'Above 3-month average — headwind for growth if elevated'
          : 'Below 3-month average';
      } else {
        metricCtx.treasury10Y = 'Headwind for growth if elevated';
      }
    }

    // Treasury 2Y vs rolling ~3mo average.
    if (factors.treasury2Y != null && gs2Obs?.length) {
      const last = factors.treasury2Y;
      const avg3m = trailingAvg(gs2Obs, Math.min(63, gs2Obs.length));
      if (avg3m != null) {
        const diff = last - avg3m;
        metricCtx.treasury2Y = diff > 0
          ? 'Above 3-month average — tighter monetary conditions'
          : 'Below 3-month average';
      } else {
        metricCtx.treasury2Y = 'Tight monetary conditions';
      }
    }

    // Curve sign + magnitude (50bp threshold for inversion signal).
    if (factors.curve10y2y != null) {
      const cBp = factors.curve10y2y * 100;
      if (cBp < -50) metricCtx.curve10y2y = 'Inverted — historically bearish for equities';
      else if (cBp < 0) metricCtx.curve10y2y = 'Slightly inverted — watch for steepening';
      else if (cBp < 50) metricCtx.curve10y2y = 'Positive spread — normal cycle';
      else metricCtx.curve10y2y = 'Steep — recovery or inflation expectations rising';
    }

    // Unemployment vs ~5% recession threshold.
    if (factors.unemployment != null) {
      const u = factors.unemployment;
      if (u < 4.0) metricCtx.unemployment = 'Strong labor market';
      else if (u < 5.0) metricCtx.unemployment = 'Stable — below recession threshold of 5%';
      else if (u < 6.0) metricCtx.unemployment = 'Elevated — monitor for further rises';
      else metricCtx.unemployment = 'High — historically correlates with recessions';
    }

    // Consumer sentiment vs UMCSENT psychological thresholds (80/100).
    if (factors.consumerSentiment != null) {
      const s = factors.consumerSentiment;
      if (s > 100) metricCtx.consumerSentiment = 'Strong confidence';
      else if (s > 80) metricCtx.consumerSentiment = 'Moderate sentiment';
      else if (s > 60) metricCtx.consumerSentiment = 'Weak — below 80 historically precedes drawdowns';
      else metricCtx.consumerSentiment = 'Very low confidence — crisis territory';
    }

    // Compute regime + risk flags using raw factors.
    const classification = classifyRegime({
      gdpGrowth: factors.gdpGrowth ?? undefined,
      cpi: factors.cpi ?? undefined,
      unemployment: factors.unemployment ?? undefined,
      treasury10Y: factors.treasury10Y ?? undefined,
      vix: factors.vix ?? undefined,
      spyEmaSlope: factors.spyEmaSlope ?? undefined,
    });

    type RiskFlag = { id: string; label: string; severity: 'info' | 'warning' | 'elevated'; detail: string };
    const risks: RiskFlag[] = [];
    if (factors.curve10y2y !== null && factors.curve10y2y < 0) {
      risks.push({
        id: 'curve_inverted',
        label: 'Yield curve inverted',
        severity: 'warning',
        detail: `10Y−2Y is ${factors.curve10y2y.toFixed(2)} pp. Curve inversions have historically preceded slower growth — a risk flag, not a timer.`,
      });
    }
    if (factors.vix !== null && factors.vix >= 25) {
      risks.push({
        id: 'vol_elevated',
        label: 'Elevated volatility',
        severity: factors.vix >= 30 ? 'elevated' : 'warning',
        detail: `VIX near ${factors.vix.toFixed(1)}. Higher implied fear often coincides with wider daily ranges; sizing frameworks typically reduce risk fractions in this environment.`,
      });
    }
    if (factors.spy1M !== null && factors.spy1M <= -8) {
      risks.push({
        id: 'spy_drawdown',
        label: 'Broad market soft (1M)',
        severity: 'warning',
        detail: `SPY about ${factors.spy1M.toFixed(1)}% over the last month. Review drawdown tolerance and thesis integrity before adding risk.`,
      });
    }
    if (factors.unemployment !== null && factors.unemployment >= 5.5) {
      risks.push({
        id: 'labor_soft',
        label: 'Labor market softer',
        severity: 'info',
        detail: `Unemployment near ${factors.unemployment.toFixed(1)}%. Track whether the trend is rising or stabilizing.`,
      });
    }
    if (risks.length === 0) {
      risks.push({
        id: 'no_flags',
        label: 'No elevated flags from available data',
        severity: 'info',
        detail: 'Available series do not show an inverted curve, elevated VIX, or a sharp one-month broad-market drawdown. Missing data is not the same as absence of risk.',
      });
    }

    const regimePlain =
      classification.regime === 'trending-up' ? 'Trending up'
        : classification.regime === 'trending-down' ? 'Trending down'
        : 'Range-bound';

    return {
      regime: classification.regime,
      regimePlain,
      confidence: classification.confidence,
      factors: classification.factors,
      explanation: classification.explanation,
      metrics: {
        spy1M: factors.spy1M,
        vix: factors.vix,
        treasury10Y: factors.treasury10Y,
        treasury2Y: factors.treasury2Y,
        curve10y2y: factors.curve10y2y,
        unemployment: factors.unemployment,
        consumerSentiment: factors.consumerSentiment,
        context: metricCtx,
      },
      risks,
      updatedAt: new Date().toISOString(),
      lesson: 'Regime and risk flags summarize current data. They provide process context — not forecasts or allocation instructions.',
    };
  }),

  rotationCheckForAlert: publicProcedure.mutation(async ({ ctx }) => {
    const {
      MARKET_ROTATION_UNIVERSE,
      BENCHMARK_SYMBOL,
      buildSectorRsMap,
      summarizeRotation,
    } = await import('../analysis/marketRotationRs.ts');

    const symbols = [BENCHMARK_SYMBOL, ...MARKET_ROTATION_UNIVERSE.map((s) => s.symbol)];
    for (const sym of symbols) {
      try { await ctx.cache.ensureInDemand(sym, 'etf'); } catch { /* ignore */ }
    }

    const keys = symbols.map((s) => `yfinance:candles:${s}:1d`);
    const entries = await ctx.cache.getMany<PriceCandle[]>(keys);
    const map: Record<string, PriceCandle[]> = {};
    symbols.forEach((s, i) => {
      map[s] = (entries[i]?.value ?? []) as PriceCandle[];
    });

    const rows = buildSectorRsMap(
      MARKET_ROTATION_UNIVERSE,
      map,
      map[BENCHMARK_SYMBOL] ?? [],
    );
    const summary = summarizeRotation(rows);
    const signal = summary.strength;
    const spread = summary.leadershipSpread;

    const prev = ctx.db.prepare('SELECT signal, checked_at, signal_since FROM rotation_state WHERE id=?').get('singleton') as { signal: string; checked_at: string | null; signal_since: string | null } | undefined;
    const now = new Date().toISOString();
    const signalSince = prev?.signal === signal ? (prev.signal_since ?? now) : now;
    ctx.db.prepare(
      `INSERT INTO rotation_state (id, signal, spread, inflow_avg, outflow_avg, checked_at, signal_since)
       VALUES ('singleton', ?, ?, ?, ?, ?, ?)
       ON CONFLICT(id) DO UPDATE SET signal=excluded.signal, spread=excluded.spread, inflow_avg=excluded.inflow_avg, outflow_avg=excluded.outflow_avg, checked_at=excluded.checked_at, signal_since=excluded.signal_since`
    ).run(signal, spread, summary.leadingCount, summary.laggingCount, now, signalSince);

    const alertsCreated: string[] = [];
    if ((signal === 'moderate' || signal === 'strong') && prev?.signal !== signal) {
      const { createAlert } = await import('../alerts/AlertEngine.ts');
      const userIds = ctx.db.prepare('SELECT id FROM users').all() as Array<{ id: string }>;
      for (const u of userIds) {
        const deductionKey = `rotation_incipient:${signal}:${summary.leadingGroup}`;
        const existing = ctx.db.prepare('SELECT id FROM alert_events WHERE dedup_key=? AND user_id=?').get(deductionKey, u.id);
        if (existing) continue;
        const alert = createAlert(
          crypto.randomUUID(), u.id, 'rotation_incipient' as any, undefined,
          `Relative leadership may be shifting (${signal}). Leading: ${summary.leadingGroup}. Lagging: ${summary.laggingGroup}. Spread ~${spread.toFixed(1)} pp vs SPY.`,
          signal,
          { spread, signal, leadingGroup: summary.leadingGroup, laggingGroup: summary.laggingGroup },
        );
        ctx.db.prepare(
          `INSERT INTO alert_events (id, user_id, type, severity, title, description, created_at, acknowledged, dedup_key, payload)
           VALUES (?, ?, ?, ?, ?, ?, ?, 0, ?, ?)`
        ).run(alert.id, u.id, alert.type, alert.severity, alert.title, alert.description, alert.createdAt, alert.dedupKey, JSON.stringify(alert.payload));
        alertsCreated.push(u.id);
      }
    }

    return {
      signal,
      spread,
      inflowAvg: summary.leadingCount,
      outflowAvg: summary.laggingCount,
      prevSignal: prev?.signal ?? null,
      alertsCreated: alertsCreated.length,
      leadingGroup: summary.leadingGroup,
      laggingGroup: summary.laggingGroup,
    };
  }),

  /** Relative-strength rotation map (vs SPY). Not absolute-return "flow". */
  rotation: publicProcedure.query(async ({ ctx }) => {
    const {
      MARKET_ROTATION_UNIVERSE,
      BENCHMARK_SYMBOL,
      buildSectorRsMap,
      summarizeRotation,
    } = await import('../analysis/marketRotationRs.ts');
    const { resolveBusinessContext } = await import('../analysis/tickerContext.ts');
    const { listHoldings } = await import('../db/portfolioRepository.ts');

    const userId = ctx.userId ?? 'anonymous';

    // Load custom symbols from DB
    const customRows = ctx.db.prepare(
      'SELECT symbol, name, grp FROM rotation_custom_symbols WHERE owner_id=? ORDER BY symbol',
    ).all(userId) as Array<{ symbol: string; name: string | null; grp: string }>;
    const customDefs: import('../analysis/marketRotationRs.ts').SectorDef[] = customRows.map((r) => ({
      symbol: r.symbol,
      name: r.name ?? r.symbol,
      group: r.grp,
      kind: 'custom' as const,
    }));

    // Auto-group: ETFs that open portfolio holdings map into (sector + theme).
    // Many of these already exist in MARKET_ROTATION_UNIVERSE (XLK, XLF, …). We must not
    // drop them on dedupe — track portfolio linkage separately so the Auto filter works.
    const holdings = listHoldings(ctx.db, userId);
    type AutoMeta = { name: string; group: string; holdings: string[] };
    const portfolioEtfMeta = new Map<string, AutoMeta>();
    const addPortfolioEtf = (etf: string, name: string, group: string, holdingSym: string) => {
      const key = etf.toUpperCase();
      const prev = portfolioEtfMeta.get(key);
      if (prev) {
        if (!prev.holdings.includes(holdingSym)) prev.holdings.push(holdingSym);
        return;
      }
      portfolioEtfMeta.set(key, { name, group, holdings: [holdingSym] });
    };
    for (const h of holdings) {
      const holdingSym = h.symbol.toUpperCase();
      const meta = ctx.db.prepare('SELECT sector, industry FROM symbols WHERE symbol=?').get(holdingSym) as
        | { sector: string | null; industry: string | null }
        | undefined;
      // Always resolve — symbol overrides (IREN, CIFR, …) work even without a symbols row.
      const biz = resolveBusinessContext({
        symbol: holdingSym,
        sector: meta?.sector ?? null,
        industry: meta?.industry ?? null,
        description: null,
      });
      if (biz.sectorEtf) {
        addPortfolioEtf(
          biz.sectorEtf,
          biz.sectorLabel ?? biz.sectorEtf,
          biz.sectorLabel ?? 'Portfolio',
          holdingSym,
        );
      }
      if (biz.themeEtf) {
        addPortfolioEtf(
          biz.themeEtf,
          biz.themeLabel ?? biz.themeEtf,
          biz.themeLabel ?? 'Portfolio theme',
          holdingSym,
        );
      }
    }
    // Portfolio-only ETFs (e.g. IGV) that are not already in the market universe
    const autoOnlyDefs: import('../analysis/marketRotationRs.ts').SectorDef[] = [];
    for (const [etf, meta] of portfolioEtfMeta) {
      const inUniverse = MARKET_ROTATION_UNIVERSE.some((u) => u.symbol === etf)
        || customDefs.some((c) => c.symbol === etf);
      if (!inUniverse) {
        autoOnlyDefs.push({
          symbol: etf,
          name: meta.name,
          group: meta.group,
          kind: 'auto',
        });
      }
    }

    // Combine and deduplicate (universe first so sector/style kinds stay stable)
    const allDefs = [...MARKET_ROTATION_UNIVERSE, ...customDefs, ...autoOnlyDefs];
    const seen = new Set<string>();
    const dedupedDefs = allDefs.filter((d) => {
      if (seen.has(d.symbol)) return false;
      seen.add(d.symbol);
      return true;
    });

    const symbols = [BENCHMARK_SYMBOL, ...dedupedDefs.map((s) => s.symbol)];
    for (const sym of symbols) {
      try { await ctx.cache.ensureInDemand(sym, 'etf'); } catch { /* ignore */ }
    }

    const keys = symbols.map((s) => `yfinance:candles:${s}:1d`);
    const entries = await ctx.cache.getMany<PriceCandle[]>(keys);
    const map: Record<string, PriceCandle[]> = {};
    let dataPoints = 0;
    symbols.forEach((s, i) => {
      const candles = (entries[i]?.value ?? []) as PriceCandle[];
      map[s] = candles;
      if (candles.length > 0) dataPoints += 1;
    });

    // Load live quotes for oneDay overrides — when available, use intraday
    // change_pct (current price vs previous close) instead of candle dayChangePct,
    // which reflects overnight gaps because yfinance 1d candles carry 13:30Z bar
    // timestamps. Other horizons stay candle-based.
    const quoteRows = ctx.db.prepare(
      `SELECT symbol, change_pct FROM quotes WHERE symbol IN (${symbols.map(() => '?').join(',')})`,
    ).all(...symbols) as Array<{ symbol: string; change_pct: number | null }>;
    const liveQuotes = new Map<string, number>(quoteRows.map((r) => [r.symbol, r.change_pct ?? null]));

    const rows = buildSectorRsMap(
      dedupedDefs,
      map,
      map[BENCHMARK_SYMBOL] ?? [],
    );

    // Override oneDay with live quote change_pct when available (true intraday vs prev close).
    for (const r of rows) {
      const qPct = liveQuotes.get(r.symbol);
      if (qPct != null && Number.isFinite(qPct)) { /* already in percent units from yfinance */
        r.abs.oneDay = qPct;
        const benchPct = liveQuotes.get(BENCHMARK_SYMBOL);
        r.rs.oneDay = benchPct != null ? qPct - benchPct : qPct;
      }
    }

    const summary = summarizeRotation(rows);

    const state = ctx.db.prepare('SELECT signal_since FROM rotation_state WHERE id=?').get('singleton') as { signal_since: string | null } | undefined;
    const signalSince = state?.signal_since ?? null;
    const daysSince = signalSince ? Math.round((Date.now() - new Date(signalSince).getTime()) / 86_400_000) : null;

    // Backward-compatible sector cards (group = leadership, not abs-return inflow).
    // portfolioLinked: true when this ETF is a sector/theme proxy for an open holding.
    // Auto filter uses portfolioLinked so XLK/XLF/etc. still appear under Auto even though
    // they also live in the main GICS universe (kind remains sector/thematic/…).
    const sectors = rows.map((r) => {
      const port = portfolioEtfMeta.get(r.symbol);
      // Keep universe display names (Technology, Financials); use portfolio label only for auto-only ETFs.
      const displayName = r.kind === 'auto' && port?.name ? port.name : r.name;
      return {
        symbol: r.symbol,
        name: displayName,
        group: r.leadership === 'leading' ? 'inflow' as const
          : r.leadership === 'lagging' ? 'outflow' as const
          : 'inflow' as const, // inline treated as neutral; UI will use leadership field
        subGroup: r.group,
        kind: r.kind,
        portfolioLinked: !!port,
        portfolioHoldings: port?.holdings ?? [],
        leadership: r.leadership,
        earlyWatch: r.earlyWatch,
        rank1M: r.rank1M,
        rank1W: r.rank1W,
        relVol: r.relVol,
        oneWeek: r.abs.oneWeek,
        oneMonth: r.abs.oneMonth,
        threeMonth: r.abs.threeMonth,
        sixMonth: r.abs.sixMonth,
        oneYear: r.abs.oneYear,
        oneDay: r.abs.oneDay,
        rsOneWeek: r.rs.oneWeek,
        rsOneMonth: r.rs.oneMonth,
        rsThreeMonth: r.rs.threeMonth,
        rsSixMonth: r.rs.sixMonth,
        rsOneYear: r.rs.oneYear,
        rsOneDay: r.rs.oneDay,
      };
    });

    const signal = {
      strength: summary.strength,
      spread: summary.leadershipSpread,
      // Legacy field names kept for RotationSignalAlert; mean stronger/weaker counts.
      inflowAvg: summary.leadingCount,
      outflowAvg: summary.laggingCount,
      leadingSubGroup: summary.leadingGroup,
      laggingSubGroup: summary.laggingGroup,
      inflowConfirmation: `${summary.leadingCount}/${rows.length}`,
      outflowConfirmation: `${summary.laggingCount}/${rows.length}`,
      earlyWatchCount: summary.earlyWatchCount,
      daysSince,
      summary: summary.summary,
    };

    // Persist today's rank snapshot so we can show history later.
    try {
      const asOf = new Date().toISOString().slice(0, 10);
      const ins = ctx.db.prepare(
        `INSERT OR REPLACE INTO rotation_rank_snapshots
         (as_of_date, symbol, name, grp, rank_1m, rs_1m, rank_1w, rs_1w, leadership, early_watch, strength)
         VALUES (?,?,?,?,?,?,?,?,?,?,?)`,
      );
      for (const r of rows) {
        ins.run(
          asOf, r.symbol, r.name, r.group,
          r.rank1M, r.rs.oneMonth, r.rank1W, r.rs.oneWeek,
          r.leadership, r.earlyWatch ? 1 : 0, summary.strength,
        );
      }
    } catch { /* table may not exist until migration; ignore */ }

    // Recent early-watch history (last 14 days).
    let earlyHistory: Array<{ date: string; symbol: string; name: string; rs1w: number | null }> = [];
    try {
      earlyHistory = ctx.db.prepare(
        `SELECT as_of_date AS date, symbol, name, rs_1w AS rs1w
         FROM rotation_rank_snapshots
         WHERE early_watch = 1 AND as_of_date >= date('now', '-14 day')
         ORDER BY as_of_date DESC, rank_1w ASC
         LIMIT 40`,
      ).all() as Array<{ date: string; symbol: string; name: string; rs1w: number | null }>;
    } catch { /* ignore */ }

    return {
      sectors,
      signal,
      benchmark: BENCHMARK_SYMBOL,
      coveredSymbols: dataPoints,
      totalSymbols: symbols.length,
      earlyHistory,
      fetchedAt: new Date().toISOString(),
      lesson: 'Relative strength compares each ETF to the broad market (SPY). Outperformance means higher return than SPY over the window — not measured ETF share creation or redemption flows.',
    };
  }),

  /** Historical seasonality for SPY (and optional symbol) + simple calendar. */
  seasonality: publicProcedure
    .input(z.object({ symbol: z.string().min(1).max(12).optional() }).optional())
    .query(async ({ ctx, input }) => {
      const { buildSeasonalitySnapshot, upcomingSimpleEvents } = await import('../analysis/seasonality.ts');
      const symbol = (input?.symbol ?? 'SPY').toUpperCase();
      try { await ctx.cache.ensureInDemand(symbol, symbol === 'SPY' ? 'etf' : 'equity'); } catch { /* ignore */ }
      const entry = await ctx.cache.get<PriceCandle[]>(`yfinance:candles:${symbol}:1d`);
      const candles = (entry?.value ?? []) as PriceCandle[];
      const snapshot = buildSeasonalitySnapshot(
        symbol,
        candles.map((c) => ({ ts: c.ts, c: c.c })),
      );
      return {
        ...snapshot,
        events: upcomingSimpleEvents(),
        hasEnoughHistory: candles.length >= 250,
        lesson: 'Historical monthly averages are context only. They do not forecast the current year.',
      };
    }),

  /**
   * Top holdings for a sector/theme ETF (e.g. SMH, XLK).
   * Resolution order: fresh kv_cache → live Yahoo → stale cache → static fallback.
   * Day quotes from local `quotes` only (no Yahoo chart/quote fanout under rate limits).
   */
  sectorHoldings: publicProcedure
    .input(z.object({ etfSymbol: z.string().min(1) }))
    .query(async ({ ctx, input }) => {
      const { staticHoldingsFor } = await import('../analysis/etfHoldingsFallback.ts');
      const symbol = input.etfSymbol.toUpperCase();
      const cacheKey = `etf:topHoldings:${symbol}`;
      const FRESH_MS = 24 * 60 * 60_000;

      type HoldingRow = { symbol: string; holdingName: string; holdingPercent: number };

      function readCachedComposition(): { rows: HoldingRow[]; observedAt: string } | null {
        try {
          const row = ctx.db.prepare('SELECT value, observed_at FROM kv_cache WHERE key=?').get(cacheKey) as
            | { value: string; observed_at: string } | undefined;
          if (!row?.value) return null;
          const parsed = JSON.parse(row.value) as { holdings?: HoldingRow[] };
          const rows = (parsed.holdings ?? [])
            .filter((h) => h?.symbol)
            .map((h) => ({
              symbol: String(h.symbol).toUpperCase(),
              holdingName: h.holdingName ?? String(h.symbol),
              holdingPercent: Number(h.holdingPercent) || 0,
            }));
          if (!rows.length) return null;
          return { rows, observedAt: row.observed_at };
        } catch {
          return null;
        }
      }

      function writeCachedComposition(rows: HoldingRow[]): void {
        try {
          ctx.db.prepare(
            'INSERT OR REPLACE INTO kv_cache (key, value, observed_at) VALUES (?,?,?)',
          ).run(cacheKey, JSON.stringify({ symbol, holdings: rows }), new Date().toISOString());
        } catch { /* best-effort; SQLite lock under concurrent write is fine */ }
      }

      function fromStatic(): HoldingRow[] {
        return staticHoldingsFor(symbol).map((h) => ({
          symbol: h.symbol.toUpperCase(),
          holdingName: h.holdingName,
          holdingPercent: h.holdingPercent,
        }));
      }

      let holdings: HoldingRow[] = [];
      let source: 'live' | 'cache' | 'static' | 'empty' = 'empty';
      const cached = readCachedComposition();
      const cacheAgeMs = cached ? Date.now() - Date.parse(cached.observedAt) : Infinity;
      const cacheFresh = Number.isFinite(cacheAgeMs) && cacheAgeMs < FRESH_MS;

      if (cacheFresh && cached) {
        holdings = cached.rows;
        source = 'cache';
      } else if (cached) {
        // Stale composition is fine for a peek panel; background queue refreshes.
        holdings = cached.rows;
        source = 'cache';
        if (!ctx.queue.isSourceCoolingDown('yfinance')) {
          try { await ctx.queue.queue(`yfinance:topHoldings:${symbol}`); } catch { /* ignore */ }
        }
      } else {
        // Cold path: static fallback first (authoritative when present).
        const fallback = fromStatic();
        if (fallback.length > 0) {
          holdings = fallback;
          source = 'static';
          writeCachedComposition(fallback);
        }

        // Queue background upgrade — never live Yahoo on the request path (ADR-0009).
        if (!ctx.queue.isSourceCoolingDown('yfinance')) {
          try { await ctx.queue.queue(`yfinance:topHoldings:${symbol}`); } catch { /* ignore */ }
        }
      }

      if (holdings.length === 0) {
        return { symbol, holdings: [], source: 'empty' as const };
      }

      // Cap at top 15 for the peek panel (matches UI) and for quote fan-in.
      const top = holdings.slice(0, 15);
      const symbols = top.map((h) => h.symbol.toUpperCase());

      // Local quotes first — never open live Yahoo on the request path (ADR-0009).
      const quoteMap = new Map<string, {
        price: number | null;
        change: number | null;
        changePercent: number | null;
      }>();
      try {
        const placeholders = symbols.map(() => '?').join(',');
        const rows = ctx.db.prepare(
          `SELECT symbol, price, change, change_pct FROM quotes WHERE symbol IN (${placeholders})`,
        ).all(...symbols) as Array<{
          symbol: string;
          price: number | null;
          change: number | null;
          change_pct: number | null;
        }>;
        for (const r of rows) {
          quoteMap.set(r.symbol.toUpperCase(), {
            price: r.price,
            change: r.change,
            changePercent: r.change_pct,
          });
        }
      } catch { /* local quotes optional */ }

      // Candle close fallback when quote row is missing (still local, no vendor call).
      const candleClose = new Map<string, number>();
      try {
        for (const sym of symbols) {
          if (quoteMap.get(sym)?.price != null) continue;
          const row = ctx.db.prepare(
            `SELECT c FROM price_candles WHERE symbol=? AND timeframe='1d' ORDER BY ts DESC LIMIT 1`,
          ).get(sym) as { c: number } | undefined;
          if (row && Number.isFinite(row.c)) candleClose.set(sym, row.c);
        }
      } catch { /* ignore */ }

      // Background-queue missing US-style tickers so the next open has live marks.
      // Skip exotic listings (dots / long suffixes) to avoid poisoning the queue.
      if (!ctx.queue.isSourceCoolingDown('yfinance')) {
        for (const sym of symbols) {
          if (quoteMap.has(sym) && quoteMap.get(sym)!.price != null) continue;
          if (sym.includes('.') || sym.length > 5) continue;
          try { await ctx.cache.ensureInDemand(sym, 'equity'); } catch { /* ignore */ }
        }
      }

      const result = top.map((h) => {
        const sym = h.symbol.toUpperCase();
        const q = quoteMap.get(sym);
        const price = q?.price ?? candleClose.get(sym) ?? null;
        return {
          symbol: sym,
          name: h.holdingName,
          weight: h.holdingPercent,
          price,
          change: q?.change ?? null,
          changePercent: q?.changePercent ?? null,
          volume: null as number | null,
          marketCap: null as number | null,
          returns1W: null as number | null,
          returns1M: null as number | null,
          returns3M: null as number | null,
          returns6M: null as number | null,
          returns1Y: null as number | null,
        };
      });

      return { symbol, holdings: result, source };
    }),

  /** Add a custom ETF to the user's rotation tracking. */
  addCustomEtf: publicProcedure
    .input(z.object({ symbol: z.string().toUpperCase(), name: z.string().optional(), group: z.string().optional() }))
    .mutation(async ({ ctx, input }) => {
      const userId = ctx.userId ?? 'anonymous';
      const existing = ctx.db.prepare('SELECT id FROM rotation_custom_symbols WHERE owner_id=? AND symbol=?').get(userId, input.symbol) as { id: string } | undefined;
      if (existing) return { added: false };
      ctx.db.prepare(
        'INSERT INTO rotation_custom_symbols (id, owner_id, symbol, name, grp, created_at) VALUES (?,?,?,?,?,?)'
      ).run(crypto.randomUUID(), userId, input.symbol, input.name ?? input.symbol, input.group ?? 'Custom', new Date().toISOString());
      try { await ctx.cache.ensureInDemand(input.symbol, 'etf'); } catch { /* ignore */ }
      return { added: true };
    }),

  /** Remove a custom ETF from the user's rotation tracking. */
  removeCustomEtf: publicProcedure
    .input(z.object({ symbol: z.string().toUpperCase() }))
    .mutation(async ({ ctx, input }) => {
      const userId = ctx.userId ?? 'anonymous';
      const r = ctx.db.prepare('DELETE FROM rotation_custom_symbols WHERE owner_id=? AND symbol=?').run(userId, input.symbol);
      return { removed: r.changes > 0 };
    }),

  /** List the user's custom rotation ETFs. */
  listCustomEtfs: publicProcedure.query(async ({ ctx }) => {
    const userId = ctx.userId ?? 'anonymous';
    const rows = ctx.db.prepare('SELECT symbol, name, grp, created_at FROM rotation_custom_symbols WHERE owner_id=? ORDER BY symbol').all(userId) as Array<{ symbol: string; name: string | null; grp: string; created_at: string }>;
    return rows.map((r) => ({ ...r, name: r.name ?? r.symbol }));
  }),
});

function parseCandlesFromChart(raw: Record<string, unknown>): PriceCandle[] {
  const quotes = raw.quotes;
  if (!Array.isArray(quotes)) return [];
  const out: PriceCandle[] = [];
  for (const q of quotes as Array<Record<string, unknown> | null>) {
    if (!q) continue;
    const close = typeof q.adjclose === 'number' && Number.isFinite(q.adjclose) ? q.adjclose
      : (typeof q.close === 'number' && Number.isFinite(q.close) ? q.close : null);
    if (close === null) continue;
    out.push({
      ts: q.date instanceof Date ? q.date.toISOString() : (typeof q.date === 'string' ? q.date : ''),
      o: typeof q.open === 'number' ? q.open : 0,
      h: typeof q.high === 'number' ? q.high : 0,
      l: typeof q.low === 'number' ? q.low : 0,
      c: close,
      v: typeof q.volume === 'number' ? q.volume : 0,
    });
  }
  return out;
}

// ---------------------------------------------------------------------------
// admin.* (Slice 25) — operator tooling, auth-gated to is_admin=1.
// ---------------------------------------------------------------------------
const adminRouter = router({
  usersList: adminProcedure.query(({ ctx }) => listUsers(ctx.db)),

  setUserModules: adminProcedure
    .input(z.object({ userId: z.string().uuid(), modules: z.array(z.string()) }))
    .mutation(({ ctx, input }) => {
      return setUserModules(ctx.db, ctx.userId, input.userId, input.modules);
    }),

  disableUser: adminProcedure
    .input(z.object({ userId: z.string().uuid() }))
    .mutation(({ ctx, input }) => {
      try { return disableUser(ctx.db, ctx.userId, input.userId); }
      catch (e) { throw new TRPCError({ code: 'FORBIDDEN', message: e instanceof Error ? e.message : 'Failed to disable user.' }); }
    }),

  enableUser: adminProcedure
    .input(z.object({ userId: z.string().uuid() }))
    .mutation(({ ctx, input }) => {
      try { return enableUser(ctx.db, ctx.userId, input.userId); }
      catch (e) { throw new TRPCError({ code: 'FORBIDDEN', message: e instanceof Error ? e.message : 'Failed to enable user.' }); }
    }),

  deleteUser: adminProcedure
    .input(z.object({ userId: z.string().uuid() }))
    .mutation(({ ctx, input }) => {
      try { return deleteUser(ctx.db, ctx.userId, input.userId); }
      catch (e) { throw new TRPCError({ code: 'FORBIDDEN', message: e instanceof Error ? e.message : 'Failed to delete user.' }); }
    }),

  resetPassword: adminProcedure
    .input(z.object({ email: z.string().email(), tempPassword: z.string().min(8) }))
    .mutation(({ ctx, input }) => {
      try {
        return resetPassword(ctx.db, ctx.userId, input.email, hashPassword(input.tempPassword));
      } catch (e) {
        if (e instanceof NotOwnerError) throw new TRPCError({ code: 'FORBIDDEN', message: e.message });
        throw new TRPCError({ code: 'NOT_FOUND', message: 'User not found.' });
      }
    }),

  gdprExport: adminProcedure
    .input(z.object({ userId: z.string().uuid() }))
    .mutation(({ ctx, input }) => {
      try {
        return gdprExport(ctx.db, ctx.userId, input.userId);
      } catch (e) {
        if (e instanceof NotOwnerError) throw new TRPCError({ code: 'FORBIDDEN', message: e.message });
        throw e;
      }
    }),

  queueHealth: adminProcedure.query(({ ctx }) => queueHealth(ctx.db)),

  /** Alert-system observability: producer cadence + source freshness. */
  alertStatus: adminProcedure.query(({ ctx }) => alertStatus(ctx.db)),

  resetBackoff: adminProcedure
    .input(z.object({ sourceKind: z.string().regex(/^[a-z0-9_]+$/i) }))
    .mutation(({ ctx, input }) => resetQueueBackoff(ctx.db, ctx.userId, input.sourceKind)),

  userSessions: adminProcedure
    .input(z.object({ userId: z.string().uuid() }))
    .query(({ ctx, input }) => listUserSessions(ctx.db, input.userId)),

  auditLog: adminProcedure
    .input(z.object({
      limit: z.number().int().min(1).max(200).default(50),
      offset: z.number().int().min(0).default(0),
      actor: z.string().optional(),
      action: z.string().optional(),
    }))
    .query(({ ctx, input }) => listAuditLog(ctx.db, { limit: input.limit, offset: input.offset, actor: input.actor ?? null, action: input.action ?? null })),

  queueSecFetch: adminProcedure
    .input(z.object({ symbol: z.string().min(1).max(10) }))
    .mutation(({ ctx, input }) => {
      try { queueSecFetch(ctx.db, input.symbol); return { ok: true }; }
      catch (e) { throw new TRPCError({ code: 'BAD_REQUEST', message: e instanceof Error ? e.message : 'Failed to queue fetch.' }); }
    }),

  /** Run GEX/VEX integrity audit (and optional as-of replay) for a symbol. */
  dealerMapIntegrity: adminProcedure
    .input(z.object({
      symbol: z.string().min(1).max(12),
      /** When set, rebuild surface from chains with ts ≤ asOf (backtest). */
      asOf: z.string().min(10).optional(),
      recompute: z.boolean().optional().default(true),
    }))
    .mutation(async ({ ctx, input }) => {
      const symbol = input.symbol.trim().toUpperCase();
      const { auditDealerMap, integritySummary } = await import('../analysis/dealerMapIntegrity.ts');
      const {
        recomputeDealerMapFromCacheDetailed,
        writeDealerMapDataQuality,
      } = await import('../analysis/dealerMapService.ts');
      const { replayDealerMapAt } = await import('../analysis/dealerMapReplay.ts');

      if (input.asOf) {
        const replay = replayDealerMapAt(ctx.db, symbol, input.asOf);
        writeDealerMapDataQuality(ctx.db, symbol, replay.integrity);
        recordAudit(ctx.db, ctx.userId ?? 'admin', 'dealer.integrity', symbol, {
          mode: 'replay',
          asOf: input.asOf,
          status: replay.integrity.status,
          ok: replay.ok,
        });
        return {
          mode: 'replay' as const,
          symbol,
          asOf: input.asOf,
          ok: replay.ok,
          summary: replay.summary,
          integrity: replay.integrity,
          integrityText: integritySummary(replay.integrity),
          king: replay.map?.levels.king ?? null,
          spot: replay.spot,
          spotSource: replay.spotSource,
          surfaceRowCount: replay.surfaceRowCount,
          snapshotCompare: replay.snapshotCompare,
        };
      }

      let map = null as Awaited<ReturnType<typeof recomputeDealerMapFromCacheDetailed>>['map'];
      let integrity = auditDealerMap(null, null);
      let keptPriorMap = false;
      let message: string | undefined;
      if (input.recompute) {
        const detail = recomputeDealerMapFromCacheDetailed(ctx.db, symbol, { write: true });
        map = detail.map;
        integrity = detail.integrity ?? auditDealerMap(detail.map, detail.surface);
        keptPriorMap = detail.keptPriorMap;
        message = detail.message;
        if (detail.integrity) writeDealerMapDataQuality(ctx.db, symbol, detail.integrity);
      }
      recordAudit(ctx.db, ctx.userId ?? 'admin', 'dealer.integrity', symbol, {
        mode: 'live',
        status: integrity.status,
        keptPriorMap,
      });
      return {
        mode: 'live' as const,
        symbol,
        ok: integrity.status !== 'incomplete',
        summary: message ?? integritySummary(integrity),
        integrity,
        integrityText: integritySummary(integrity),
        king: map?.levels.king ?? null,
        spot: map?.spot ?? null,
        keptPriorMap,
        cells: map?.cells.length ?? 0,
        quality: map?.quality ?? null,
      };
    }),

  queueStatus: adminProcedure.query(({ ctx }) => ctx.queue.health()),
  /** Force-clear a vendor cool-down (operator recovery after rate-limit thrash). */
  clearSourceCooldown: adminProcedure
    .input(z.object({ sourceKind: z.string().min(1) }))
    .mutation(({ ctx, input }) => {
      ctx.queue.clearSourceCooldownManual(input.sourceKind);
      return { ok: true, sourceKind: input.sourceKind };
    }),

  queuePause: adminProcedure.mutation(({ ctx }) => {
    ctx.queue.setPaused(true);
    return { paused: true };
  }),

  queueResume: adminProcedure.mutation(({ ctx }) => {
    ctx.queue.setPaused(false);
    return { paused: false };
  }),

  queueLogs: adminProcedure
    .input(z.object({ key: z.string().min(1), limit: z.number().int().min(1).max(100).optional().default(10) }))
    .query(({ ctx, input }) => ctx.queue.getErrorLog(input.key, input.limit)),

  queueRetryJob: adminProcedure
    .input(z.object({ key: z.string().min(1) }))
    .mutation(({ ctx, input }) => {
      ctx.queue.retryJob(input.key);
      return { ok: true };
    }),

  queueRetrySource: adminProcedure
    .input(z.object({ sourceKind: z.string().min(1) }))
    .mutation(({ ctx, input }) => {
      const cleared = ctx.queue.retrySource(input.sourceKind);
      return { cleared };
    }),

  queueClearDone: adminProcedure
    .input(z.object({ olderThanHours: z.number().min(1).max(336).optional().default(24) }))
    .mutation(({ ctx, input }) => {
      const cleared = ctx.queue.clearDone(input.olderThanHours * 3600000);
      return { cleared };
    }),

  queueSchedules: adminProcedure.query(({ ctx }) => ctx.queue.listSchedules()),

  queueSetSchedule: adminProcedure
    .input(z.object({ sourceKind: z.string().min(1), intervalMs: z.number().int().min(60000).max(604800000) }))
    .mutation(({ ctx, input }) => {
      ctx.queue.setSchedule(input.sourceKind, input.intervalMs);
      return { ok: true };
    }),

  queueDeleteSchedule: adminProcedure
    .input(z.object({ sourceKind: z.string().min(1) }))
    .mutation(({ ctx, input }) => {
      ctx.queue.deleteSchedule(input.sourceKind);
      return { ok: true };
    }),

  queueLint: adminProcedure
    .input(z.object({ symbol: z.string().min(1).max(10), kind: z.enum(['sec-lint-holders', 'sec-lint-insiders']) }))
    .mutation(async ({ ctx, input }) => {
      const { lintInstitutionalHolders, lintInsiderTransactions, lintSCFilings } = await import('../services/secDataFetcher.ts');
      let result: LintResult;
      if (input.kind === 'sec-lint-holders') {
        result = await lintInstitutionalHolders(ctx.db, input.symbol);
        await lintSCFilings(ctx.db, input.symbol).catch(() => {});
      } else {
        result = await lintInsiderTransactions(ctx.db, input.symbol);
      }
      // Also enqueue so the weekly schedule picks it up too.
      try { ctx.queue.queue(`${input.kind}:${input.kind === 'sec-lint-holders' ? 'holders' : 'insiders'}:${input.symbol}`); } catch { /* non-fatal */ }
      return result;
    }),

  dataQualityList: adminProcedure
    .input(z.object({ symbol: z.string().min(1).max(20).optional(), kind: z.enum(['institution_filings', 'insider_transactions']).nullish() }))
    .query(({ ctx, input }) => {
      let sql = 'SELECT symbol, kind, last_checked_at, stored_count, discovered_count, missing_count, stale, status, detail FROM data_quality WHERE 1=1';
      const params: SQLInputValue[] = [];
      if (input.symbol) { sql += ' AND symbol = ?'; params.push(input.symbol); }
      if (input.kind) { sql += ' AND kind = ?'; params.push(input.kind); }
      sql += ' ORDER BY last_checked_at DESC LIMIT 200';
      return ctx.db.prepare(sql).all(...params) as Array<Record<string, unknown>>;
    }),

  queueLintAll: adminProcedure
    .input(z.object({ kind: z.enum(['sec-lint-holders', 'sec-lint-insiders']) }))
    .mutation(async ({ ctx, input }) => {
      const symbols = (ctx.db.prepare('SELECT symbol FROM symbol_demand WHERE in_demand=1 ORDER BY symbol').all() as Array<{ symbol: string }>).map((r) => r.symbol);
      const kindPath = input.kind === 'sec-lint-holders' ? 'holders' : 'insiders';
      for (const sym of symbols) {
        try { await ctx.queue.queue(`${input.kind}:${kindPath}:${sym}`); } catch { /* ignore */ }
      }
      return { total: symbols.length, enqueued: symbols.length };
    }),

  // ---------------------------------------------------------------------------
  // Admin: X cookie credentials & tracked accounts management.
  // Credentials are stored AES-256-GCM encrypted at rest; never returned to clients.
  // ---------------------------------------------------------------------------
  xCredentialsStatus: adminProcedure.query(({ ctx }) => {
    const row = ctx.db.prepare('SELECT healthy, last_error, updated_at FROM x_credentials WHERE id=?').get('singleton') as { healthy?: number; last_error?: string | null; updated_at?: string } | undefined;
    if (!row) return { configured: false, healthy: 'degraded' as const, lastError: null, updatedAt: null };
    return {
      configured: true,
      healthy: row.healthy === 1 ? ('healthy' as const) : ('degraded' as const),
      lastError: row.last_error ?? null,
      updatedAt: row.updated_at ?? null,
    };
  }),

  xCredentialsSet: adminProcedure
    .input(z.object({ ct0: z.string().min(1), auth_token: z.string().min(1) }))
    .mutation(async ({ ctx, input }) => {
      const encrypt = (await import('../lib/crypto.ts')).default;
      try {
        const now = new Date().toISOString();
        const ct0_enc = encrypt(input.ct0);
        const auth_token_enc = encrypt(input.auth_token);
        ctx.db.prepare(
          `INSERT INTO x_credentials (id, ct0_enc, auth_token_enc, healthy, last_error, updated_at)
           VALUES ('singleton', ?, ?, 1, NULL, ?)
           ON CONFLICT(id) DO UPDATE SET ct0_enc=excluded.ct0_enc, auth_token_enc=excluded.auth_token_enc, healthy=1, last_error=NULL, updated_at=excluded.updated_at`
        ).run(ct0_enc, auth_token_enc, now);
        ctx.xAdapter?.setCookies({ ct0: input.ct0, auth_token: input.auth_token });
        ctx.cache.del('x:cashtag:*');
        return { ok: true };
      } catch (e) {
        throw new TRPCError({ code: 'BAD_REQUEST', message: e instanceof Error ? e.message : 'Failed to set X credentials.' });
      }
    }),

  // ---------------------------------------------------------------------------
  // Admin: FRED API key management.
  // ---------------------------------------------------------------------------
  fredKeyStatus: adminProcedure.query(({ ctx }) => {
    const row = ctx.db.prepare('SELECT fred_api_key_enc FROM x_credentials WHERE id=?').get('singleton') as { fred_api_key_enc?: string | null } | undefined;
    return { configured: !!(row?.fred_api_key_enc) };
  }),

  fredKeySet: adminProcedure
    .input(z.object({ apiKey: z.string().min(1) }))
    .mutation(async ({ ctx, input }) => {
      const encrypt = (await import('../lib/crypto.ts')).default;
      try {
        const now = new Date().toISOString();
        const fred_api_key_enc = encrypt(input.apiKey);
        ctx.db.prepare(
          `INSERT INTO x_credentials (id, fred_api_key_enc, updated_at)
           VALUES ('singleton', ?, ?)
           ON CONFLICT(id) DO UPDATE SET fred_api_key_enc=excluded.fred_api_key_enc, updated_at=excluded.updated_at`
        ).run(fred_api_key_enc, now);
        return { ok: true };
      } catch (e) {
        throw new TRPCError({ code: 'BAD_REQUEST', message: e instanceof Error ? e.message : 'Failed to set FRED API key.' });
      }
    }),

  xAccountsList: adminProcedure.query(({ ctx }) => {
    const rows = ctx.db.prepare("SELECT id, symbol, handle, COALESCE(label, '') AS label, created_at FROM x_accounts ORDER BY symbol, handle").all();
    return (rows ?? []) as Array<{id: string; symbol: string; handle: string; label: string; created_at: string}>;
  }),

  xAccountAdd: adminProcedure
    .input(z.object({ symbol: z.string().min(1).max(20), handle: z.string().min(1).regex(/^[a-zA-Z0-9_]+$/), label: z.string().optional() }))
    .mutation(async ({ ctx, input }) => {
      try {
        const id = randomUUID();
        const now = new Date().toISOString();
        ctx.db.prepare('INSERT INTO x_accounts (id, symbol, handle, label, created_at) VALUES (?, ?, ?, ?, ?)').run(id, input.symbol.toUpperCase(), input.handle.toLowerCase(), input.label ?? null, now);
        // Fire-and-forget 30-day backfill.
        setTimeout(() => {
          import('../x/backfill.ts').then(({ backfillAccount }) =>
            backfillAccount(ctx.db, input.symbol.toUpperCase(), input.handle.toLowerCase())
          ).catch((e) => console.error('[xAccountAdd] backfill failed:', e));
        }, 0);
        return { id };
      } catch (e) {
        if ((e as Error).message?.includes('UNIQUE constraint')) throw new TRPCError({ code: 'CONFLICT', message: `Account @${input.handle} already tracked for $${input.symbol}` });
        throw new TRPCError({ code: 'BAD_REQUEST', message: e instanceof Error ? e.message : 'Failed to add account.' });
      }
    }),

  xAccountRemove: adminProcedure
    .input(z.object({ id: z.string().uuid() }))
    .mutation(({ ctx, input }) => {
      const info = ctx.db.prepare('DELETE FROM x_accounts WHERE id=?').run(input.id);
      if (info.changes === 0) throw new TRPCError({ code: 'NOT_FOUND', message: 'Account not found.' });
      return { ok: true };
    }),

  xPrune: adminProcedure
    .input(z.object({
      olderThanDays: z.number().int().min(1).max(365).optional().default(30),
    }))
    .mutation(({ ctx, input }) => {
      const cutoff = new Date(Date.now() - input.olderThanDays * 24 * 60 * 60 * 1000).toISOString();
      const info = ctx.db.prepare('DELETE FROM x_cookie_posts WHERE posted_at < ?').run(cutoff);
      return { deleted: info.changes };
    }),

  pendingUsers: adminProcedure.query(({ ctx }) => {
    return ctx.db.prepare('SELECT id, email, complexity, created_at FROM users WHERE status=? ORDER BY created_at ASC').all('pending_approval') as Array<{ id: string; email: string; complexity: string; created_at: string }>;
  }),

  approveUser: adminProcedure
    .input(z.object({ userId: z.string().uuid() }))
    .mutation(({ ctx, input }) => {
      const info = ctx.db.prepare('UPDATE users SET status=? WHERE id=? AND status=?').run('active', input.userId, 'pending_approval');
      if (info.changes === 0) throw new TRPCError({ code: 'NOT_FOUND', message: 'No pending user found with that ID.' });
      return { ok: true };
    }),

  rejectUser: adminProcedure
    .input(z.object({ userId: z.string().uuid() }))
    .mutation(({ ctx, input }) => {
      const info = ctx.db.prepare('UPDATE users SET status=? WHERE id=? AND status=?').run('rejected', input.userId, 'pending_approval');
      if (info.changes === 0) throw new TRPCError({ code: 'NOT_FOUND', message: 'No pending user found with that ID.' });
      return { ok: true };
    }),

  // Restart the app servers from the admin console. Responds immediately, then
  // restarts the backend (and best-effort the Next frontend) after a short beat.
  serverRestart: adminProcedure
    .input(z.object({ target: z.enum(['backend', 'frontend', 'all']).optional().default('all') }))
    .mutation(({ input }) => {
      const status = restartServers((input.target ?? 'all') as RestartTarget);
      return { ok: true, ...status };
    }),

  /** Get SMTP config (admin-only). */
  smtpConfig: adminProcedure.query(async ({ ctx }) => {
    const { readSmtpConfig } = await import('../services/emailAlertService.ts');
    return readSmtpConfig(ctx.db) ?? { enabled: false };
  }),

  /** Update SMTP config (admin-only). */
  smtpConfigUpdate: adminProcedure
    .input(z.object({
      host: z.string().optional(),
      port: z.number().int().optional(),
      secure: z.boolean().optional(),
      user: z.string().optional().nullable(),
      pass: z.string().optional().nullable(),
      fromName: z.string().optional(),
      fromEmail: z.string().optional(),
      enabled: z.boolean().optional(),
    }))
    .mutation(({ ctx, input }) => {
      const config = ctx.db.prepare('SELECT * FROM smtp_config WHERE id = ?').get('singleton') as Record<string, unknown> | undefined;
      const now = new Date().toISOString();
      if (!config) {
        ctx.db.prepare(
          `INSERT INTO smtp_config (id, host, port, secure, user, pass_enc, from_name, from_email, enabled, updated_at)
           VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?)`,
        ).run('singleton', input.host ?? 'smtp.mail.me.com', input.port ?? 587, input.secure ? 1 : 0, input.user ?? null, input.pass ?? null, input.fromName ?? 'Investor Flow', input.fromEmail ?? '', input.enabled ? 1 : 0, now);
      } else {
        const updates: string[] = [];
        const params: (string | number | null)[] = [];
        if (input.host !== undefined) { updates.push('host = ?'); params.push(input.host); }
        if (input.port !== undefined) { updates.push('port = ?'); params.push(input.port); }
        if (input.secure !== undefined) { updates.push('secure = ?'); params.push(input.secure ? 1 : 0); }
        if (input.user !== undefined) { updates.push('user = ?'); params.push(input.user); }
        if (input.pass !== undefined) { updates.push('pass_enc = ?'); params.push(input.pass); }
        if (input.fromName !== undefined) { updates.push('from_name = ?'); params.push(input.fromName); }
        if (input.fromEmail !== undefined) { updates.push('from_email = ?'); params.push(input.fromEmail); }
        if (input.enabled !== undefined) { updates.push('enabled = ?'); params.push(input.enabled ? 1 : 0); }
        updates.push('updated_at = ?');
        params.push(now);
        params.push('singleton');
        ctx.db.prepare(`UPDATE smtp_config SET ${updates.join(', ')} WHERE id = ?`).run(...params);
      }
      return { ok: true };
    }),

  /** Test SMTP config by sending a test email to the admin. */
  smtpConfigTest: adminProcedure.mutation(async ({ ctx }) => {
    const { readSmtpConfig, sendAlertEmail } = await import('../services/emailAlertService.ts');
    const config = readSmtpConfig(ctx.db);
    if (!config || !config.enabled) throw new TRPCError({ code: 'BAD_REQUEST', message: 'SMTP not configured or disabled.' });
    const testAlert = {
      id: 'test',
      userId: ctx.userId as string,
      type: 'rotation_incipient' as const,
      severity: 'info' as const,
      title: 'Test alert from Investor Flow',
      description: 'This is a test email to verify SMTP configuration.',
      symbol: undefined,
      createdAt: new Date().toISOString(),
      acknowledged: false,
      dedupKey: 'test:' + Date.now(),
      payload: {},
    };
    const sent = await sendAlertEmail(ctx.db, testAlert);
    if (!sent) throw new TRPCError({ code: 'INTERNAL_SERVER_ERROR', message: 'Failed to send test email.' });
    return { ok: true };
  }),

  /** Get FINRA config (admin-only). */
  finraConfig: adminProcedure.query(({ ctx }) => ({
    baseUrl: getFinraBaseUrl(ctx.db),
  })),

  /** Update FINRA download URL (admin-only). */
  finraConfigUpdate: adminProcedure
    .input(z.object({ baseUrl: z.string().url() }))
    .mutation(({ ctx, input }) => setFinraBaseUrl(ctx.db, input.baseUrl)),

  /** Trigger FINRA 30-day backfill. Skips existing dates, rate-limited 500ms. */
  finraBackfill: adminProcedure
    .input(z.object({ days: z.number().int().min(1).max(200).optional().default(30) }))
    .mutation(async ({ ctx, input }) => {
      const { backfillFinra } = await import('../services/FinraIngestService.ts');
      const result = await backfillFinra(ctx.db, input.days, getFinraBaseUrl(ctx.db));
      recordAudit(ctx.db, ctx.userId!, 'finra.backfill', null, { days: input.days, filesStored: result.filesStored, errors: result.errors.length });
      return result;
    }),

  /** Trigger FINRA bi-monthly short interest backfill (~24 months default). */
  finraSiBackfill: adminProcedure
    .input(z.object({ months: z.number().int().min(1).max(36).optional().default(24) }))
    .mutation(async ({ ctx, input }) => {
      const { backfillFinraSi } = await import('../services/FinraIngestService.ts');
      const result = await backfillFinraSi(ctx.db, input.months);
      recordAudit(ctx.db, ctx.userId!, 'finra-si.backfill', null, { months: input.months, filesStored: result.filesStored, errors: result.errors.length });
      return result;
    }),
});


// Slice 8 — Institutional Dashboard Rollup (read-only, no trade actions).
const dashboardRouter = router({
  rollup: publicProcedure
    .input(z.object({}))
    .query(async ({ ctx }) => {
      const userId = ctx.userId ?? 'anonymous';
      // Import lazily to avoid circular deps.
      const { DashboardRollupEngine } = await import('../analysis/dashboardRollup.ts');
      const { InstitutionFlowEngine } = await import('../analysis/institutionFlowEngine.ts');

      // Use a no-op EdgarAdapter for the rollup (we query DB directly).
      const noopEdgar = {
        sourceKind: 'sec' as const,
        async fetchOne(_key: string) { throw new Error('not used'); },
        async filings_index(_cik: string, _opts?: any) { return { value: [], ttlClass: 'daily_permanent' as const, provenance: { fetchedAt: new Date().toISOString(), sourceKind: 'sec' as const } }; },
        async company_facts(_cik: string) { return { value: {}, ttlClass: 'daily_permanent' as const, provenance: { fetchedAt: new Date().toISOString(), sourceKind: 'sec' as const } }; },
        async filer_cik_meta(_cik: string) { return { value: {}, ttlClass: 'daily_permanent' as const, provenance: { fetchedAt: new Date().toISOString(), sourceKind: 'sec' as const } }; },
        async full_text_search(_q: string) { return { value: [], ttlClass: 'daily_permanent' as const, provenance: { fetchedAt: new Date().toISOString(), sourceKind: 'sec' as const } }; },
        async form13f_holdings(_cik: string, _accession: string) { return { value: { holdings: [] }, ttlClass: 'daily_permanent' as const, provenance: { fetchedAt: new Date().toISOString(), sourceKind: 'sec' as const } }; },
        async form4_tx(_cik: string, _accession: string) { return { value: { transactions: [] }, ttlClass: 'daily_permanent' as const, provenance: { fetchedAt: new Date().toISOString(), sourceKind: 'sec' as const } }; },
      } as any;

      const flowEngine = new InstitutionFlowEngine(noopEdgar);
      const engine = new DashboardRollupEngine(ctx.db, flowEngine);
      return engine.computeRollup(userId);
    }),
});

// ─── Alerts Router (Slice 17) ────────────────────────────────────────────────

const alertsRouter = router({
  /** List alerts for the current user, newest first. */
  list: protectedProcedure
    .input(z.object({ limit: z.number().min(1).max(100).optional().default(50) }))
    .query(async ({ ctx, input }) => {
      const userId = ctx.userId as string;
      const rows = ctx.db.prepare(`
        SELECT id, user_id, type, severity, title, description, symbol,
               created_at, acknowledged, dedup_key, payload
        FROM alert_events
        WHERE user_id = ?
        ORDER BY created_at DESC
        LIMIT ?
      `).all(userId, input.limit) as Array<Record<string, unknown>>;
      return rows.map((r) => ({
        id: r.id,
        userId: r.user_id,
        type: r.type,
        severity: r.severity,
        title: r.title,
        description: r.description,
        symbol: r.symbol ?? undefined,
        createdAt: r.created_at,
        acknowledged: r.acknowledged === 1 || r.acknowledged === true,
        dedupKey: r.dedup_key,
        payload: typeof r.payload === 'string' ? JSON.parse(r.payload as string) : r.payload,
      }));
    }),

  /** Acknowledge an alert (mark as read). */
  acknowledge: protectedProcedure
    .input(z.object({ alertId: z.string() }))
    .mutation(async ({ ctx, input }) => {
      const userId = ctx.userId as string;
      const result = ctx.db.prepare(
        'UPDATE alert_events SET acknowledged = 1 WHERE id = ? AND user_id = ?'
      ).run(input.alertId, userId);
      if (result.changes === 0) {
        throw new TRPCError({ code: 'NOT_FOUND', message: 'Alert not found.' });
      }
      return { ok: true };
    }),

  /** Acknowledge all alerts for the current user. */
  acknowledgeAll: protectedProcedure
    .mutation(async ({ ctx }) => {
      const userId = ctx.userId as string;
      ctx.db.prepare(
        'UPDATE alert_events SET acknowledged = 1 WHERE user_id = ? AND acknowledged = 0'
      ).run(userId);
      return { ok: true };
    }),

  /** Get unacknowledged alert count. */
  unackedCount: protectedProcedure
    .query(async ({ ctx }) => {
      const userId = ctx.userId as string;
      const row = ctx.db.prepare(
        'SELECT COUNT(*) as count FROM alert_events WHERE user_id = ? AND acknowledged = 0'
      ).get(userId) as { count: number } | undefined;
      return { count: row?.count ?? 0 };
    }),

  /** Create an alert subscription rule. */
  createSubscription: protectedProcedure
    .input(z.object({
      alertType: z.string(),
      watchlistId: z.string().optional(),
      symbol: z.string().optional(),
      params: z.string().optional(),
    }))
    .mutation(async ({ ctx, input }) => {
      const userId = ctx.userId as string;
      const { createAlertSubscription } = await import('../db/alertSubscriptionRepository.ts');
      const sub = createAlertSubscription(ctx.db, userId, {
        alertType: input.alertType,
        watchlistId: input.watchlistId,
        symbol: input.symbol,
        params: input.params,
      });
      return sub;
    }),

  /** List alert subscriptions (optionally filtered by symbol). */
  listSubscriptions: protectedProcedure
    .input(z.object({ symbol: z.string().optional() }).optional())
    .query(async ({ ctx, input }) => {
      const userId = ctx.userId as string;
      const { listAlertSubscriptions } = await import('../db/alertSubscriptionRepository.ts');
      return listAlertSubscriptions(ctx.db, userId, input?.symbol);
    }),

  /** Update an alert subscription (enable/disable, change params). */
  updateSubscription: protectedProcedure
    .input(z.object({
      id: z.string(),
      enabled: z.boolean().optional(),
      params: z.string().optional(),
    }))
    .mutation(async ({ ctx, input }) => {
      const userId = ctx.userId as string;
      const { updateAlertSubscription } = await import('../db/alertSubscriptionRepository.ts');
      const sub = updateAlertSubscription(ctx.db, userId, input.id, {
        enabled: input.enabled,
        params: input.params,
      });
      if (!sub) throw new TRPCError({ code: 'NOT_FOUND', message: 'Subscription not found.' });
      return sub;
    }),

  /** Delete an alert subscription. */
  deleteSubscription: protectedProcedure
    .input(z.object({ id: z.string() }))
    .mutation(async ({ ctx, input }) => {
      const userId = ctx.userId as string;
      const { deleteAlertSubscription } = await import('../db/alertSubscriptionRepository.ts');
      const deleted = deleteAlertSubscription(ctx.db, userId, input.id);
      if (!deleted) throw new TRPCError({ code: 'NOT_FOUND', message: 'Subscription not found.' });
      return { ok: true };
    }),

  /** Per-type toggle list: which alert types the user receives, plus labels. */
  listTypes: protectedProcedure
    .query(async ({ ctx }) => {
      const userId = ctx.userId as string;
      const { listAlertTypeToggles } = await import('../db/alertSubscriptionRepository.ts');
      return listAlertTypeToggles(ctx.db, userId);
    }),

  /** Toggle a whole alert type on/off for the current user (authoritative). */
  toggleType: protectedProcedure
    .input(z.object({ alertType: z.string(), enabled: z.boolean() }))
    .mutation(async ({ ctx, input }) => {
      const userId = ctx.userId as string;
      const { toggleAlertType } = await import('../db/alertSubscriptionRepository.ts');
      try {
        return toggleAlertType(ctx.db, userId, input.alertType, input.enabled);
      } catch (e) {
        throw new TRPCError({
          code: 'BAD_REQUEST',
          message: e instanceof Error ? e.message : 'Failed to toggle alert type.',
        });
      }
    }),
});

// ─── Institutional Flow Router (Slice 7 / M4 + M5) ────────────────────────

interface InstitutionalFlowResult {
  cusip: string;
  name: string;
  prevShares: number;
  currShares: number;
  delta: number;
  classification: string;
  holderClass?: string;
}

interface InsiderStreamEvent {
  reporter: string;
  relationship: string;
  securityTitle: string;
  transactionDate: string;
  transactionCode: string;
  shares: number;
  price: number;
  netDirection: string;
  is10b5Plan?: boolean;
  planDetails?: string;
}

interface InsiderStreamSummary {
  cik: string;
  events: InsiderStreamEvent[];
  netShares: number;
  direction: string | null;
  transactionType: 'Informed' | 'Routine';
}

const institutionalRouter = router({
  /** Get institutional flow for a symbol (M4 per-symbol view). */
  flow: publicProcedure
    .input(z.object({ symbol: z.string().min(1) }))
    .query(async ({ ctx, input }) => {
      const symbol = input.symbol.toUpperCase();

      // Query institution_filings for this symbol, grouped by filer_cik
      const rows = ctx.db.prepare(`
        SELECT filer_cik, filer_name, symbol, form, shares, value_usd,
               reported_quarter, filed_at, put_call
        FROM institution_filings
        WHERE symbol = ?
        ORDER BY filed_at DESC
      `).all(symbol) as Array<{
        filer_cik: string;
        filer_name: string | null;
        symbol: string;
        form: string;
        shares: number | null;
        value_usd: number | null;
        reported_quarter: string;
        filed_at: string;
        put_call: string | null;
      }>;

      if (rows.length === 0) {
        return { symbol, flow: [], quarters: [], filings: [] };
      }

      // Group by filer_cik, then by reported_quarter to compute QoQ flow
      const byCik = new Map<string, typeof rows>();
      for (const r of rows) {
        const arr = byCik.get(r.filer_cik) ?? [];
        arr.push(r);
        byCik.set(r.filer_cik, arr);
      }

      const allFlow: Array<{
        filerCik: string;
        filerName: string | null;
        form: string;
        prevShares: number;
        currShares: number;
        delta: number;
        classification: string;
        reportedQuarter: string;
      }> = [];

      for (const [cik, cikRows] of byCik) {
        // One position per reported quarter (latest filed wins) — not filed_at pair only.
        // Prior bug: only compared the two newest rows by file date, skipped intermediate
        // quarters, and sometimes spanned non-adjacent periods (false mega-deltas).
        const byQuarter = new Map<string, (typeof cikRows)[0]>();
        const sortedByFiled = [...cikRows].sort((a, b) =>
          String(b.filed_at).localeCompare(String(a.filed_at)),
        );
        for (const r of sortedByFiled) {
          if (!byQuarter.has(r.reported_quarter)) byQuarter.set(r.reported_quarter, r);
        }
        const quartersAsc = [...byQuarter.keys()].sort((a, b) => a.localeCompare(b));
        for (let i = 1; i < quartersAsc.length; i++) {
          const prevQ = quartersAsc[i - 1];
          const currQ = quartersAsc[i];
          const prev = byQuarter.get(prevQ)!;
          const curr = byQuarter.get(currQ)!;
          const prevShares = prev.shares ?? 0;
          const currShares = curr.shares ?? 0;
          const delta = currShares - prevShares;
          if (delta === 0) continue;

          let classification: string;
          if (prevShares === 0 && currShares > 0) classification = 'new position';
          else if (prevShares > 0 && currShares === 0) classification = 'exited';
          else if (delta > 0) classification = 'added to position';
          else classification = 'reduced position';

          allFlow.push({
            filerCik: cik,
            filerName: curr.filer_name,
            form: curr.form,
            prevShares,
            currShares,
            delta,
            classification,
            reportedQuarter: currQ,
          });
        }
      }

      allFlow.sort((a, b) => Math.abs(b.delta) - Math.abs(a.delta));

      // Collect unique quarters
      const quarters = [...new Set(rows.map(r => r.reported_quarter))].sort().reverse();

      // Return individual filing rows for month-granularity grouping
      const filings = rows.map(r => ({
        filerCik: r.filer_cik,
        filerName: r.filer_name,
        shares: r.shares ?? 0,
        valueUsd: r.value_usd ?? 0,
        reportedQuarter: r.reported_quarter,
        filedAt: r.filed_at,
        form: r.form,
        putCall: r.put_call ?? '',
      }));

      // Compute institutional ownership % across all tracked funds.
      const ownership = computeOwnershipPercentages(ctx.db, symbol);

      return { symbol, flow: allFlow, quarters, filings, ownership };
    }),

  /** Get insider activity stream for a symbol (M5 quarterly price strip). */
  insiderStream: publicProcedure
    .input(z.object({
      symbol: z.string().min(1),
      limit: z.number().int().min(1).max(500).optional().default(200),
    }))
    .query(async ({ ctx, input }) => {
      const symbol = input.symbol.toUpperCase();

      // Go back 5 years so the monthly chart has real depth.
      const fiveYearsAgo = new Date();
      fiveYearsAgo.setFullYear(fiveYearsAgo.getFullYear() - 5);
      const since = fiveYearsAgo.toISOString().slice(0, 10);

      const transactions = ctx.db.prepare(`
        SELECT form4_id, symbol, insider_name, insider_role, tx_date, tx_code,
               tx_type, shares, price, is_10b5_1, classification, filed_at
        FROM insider_transactions
        WHERE symbol = ? AND tx_date >= ?
        ORDER BY tx_date DESC
        LIMIT ?
      `).all(symbol, since, input.limit) as Array<{
        form4_id: string;
        symbol: string;
        insider_name: string;
        insider_role: string | null;
        tx_date: string;
        tx_code: string;
        tx_type: string;
        shares: number | null;
        price: number | null;
        is_10b5_1: number;
        classification: string;
        filed_at: string;
      }>;

      let netShares = 0;
      const events = transactions.map((tx) => {
        const shares = tx.shares ?? 0;
        const direction = tx.tx_type === 'buy' || tx.tx_code === 'P' ? 1 : -1;
        netShares += shares * direction;

        return {
          reporter: tx.insider_name,
          relationship: tx.insider_role,
          transactionDate: tx.tx_date,
          transactionCode: tx.tx_code,
          transactionType: tx.tx_type,
          shares,
          price: tx.price,
          is10b5: tx.is_10b5_1 === 1,
          classification: tx.classification,
          filedAt: tx.filed_at,
        };
      });

      return {
        symbol,
        events,
        netShares,
        count: events.length,
      };
    }),

  /** Aggregate institutional ownership by month for overlay charts. */
  ownershipHistory: publicProcedure
    .input(z.object({ symbol: z.string().min(1) }))
    .query(async ({ ctx, input }) => {
      const symbol = input.symbol.toUpperCase();
      const rows = ctx.db.prepare(`
        SELECT substr(filed_at, 1, 7) as month, SUM(shares) as total_shares, COUNT(DISTINCT filer_cik) as num_filers
        FROM institution_filings
        WHERE symbol = ? AND shares IS NOT NULL
        GROUP BY month
        ORDER BY month ASC
      `).all(symbol) as Array<{ month: string; total_shares: number; num_filers: number }>;
      return { symbol, months: rows };
    }),

  /** Per-filer buy events computed from QoQ 13F delta. */
  buyEvents: publicProcedure
    .input(z.object({ symbol: z.string().min(1) }))
    .query(async ({ ctx, input }) => {
      const symbol = input.symbol.toUpperCase();
      const rows = ctx.db.prepare(`
        SELECT filer_cik, filer_name, reported_quarter, shares, value_usd
        FROM institution_filings
        WHERE symbol = ? AND shares IS NOT NULL AND value_usd IS NOT NULL
        ORDER BY filer_cik, reported_quarter ASC
      `).all(symbol) as Array<{
        filer_cik: string; filer_name: string | null;
        reported_quarter: string; shares: number; value_usd: number;
      }>;

      const byFiler = new Map<string, typeof rows>();
      for (const r of rows) {
        const arr = byFiler.get(r.filer_cik) ?? [];
        arr.push(r);
        byFiler.set(r.filer_cik, arr);
      }

      const events: Array<{
        filerName: string | null; filerCik: string;
        sharesAdded: number; estimatedPrice: number; date: string;
      }> = [];

      for (const [, filerRows] of byFiler) {
        for (let i = 1; i < filerRows.length; i++) {
          const prev = filerRows[i - 1];
          const curr = filerRows[i];
          const delta = curr.shares - prev.shares;
          if (delta > 0) {
            const price = curr.value_usd > 0 ? curr.value_usd / curr.shares : 0;
            const parts = curr.reported_quarter.split('-Q');
            const y = parseInt(parts[0]);
            const q = parseInt(parts[1]);
            const month = q * 3; // Q1=3, Q2=6, Q3=9, Q4=12
            const lastDay = new Date(y, month, 0).getDate();
            const date = `${y}-${String(month).padStart(2, '0')}-${String(lastDay).padStart(2, '0')}`;
            events.push({ filerName: curr.filer_name, filerCik: curr.filer_cik, sharesAdded: delta, estimatedPrice: price, date });
          }
        }
      }

      return { symbol, events };
    }),

  /** Analyst ratings (upgrades/downgrades + consensus). Cache first; live only when Yahoo not cooling down. */
  analystRatings: publicProcedure
    .input(z.object({ symbol: z.string().min(1) }))
    .query(async ({ ctx, input }) => {
      const symbol = input.symbol.toUpperCase();
      const { fetchAndStoreAnalystRatings, getAnalystRatings } = await import('../services/analystRatingsService.ts');
      const cached = getAnalystRatings(ctx.db, symbol);
      if (cached && !cached.stale) return { symbol, ratings: cached.ratings, consensus: cached.consensus };
      // Respect shared yfinance cool-down — never stampede Edge from this panel.
      if (ctx.queue.isSourceCoolingDown('yfinance')) {
        if (cached) return { symbol, ratings: cached.ratings, consensus: cached.consensus, stale: true };
        return { symbol, ratings: [], consensus: null, error: 'Yahoo cooling down — ratings will refresh when rate limit clears' };
      }
      const result = await fetchAndStoreAnalystRatings(ctx.db, symbol, {
        onRateLimit: () => { try { ctx.queue.applySourceCooldown('yfinance', 'analystRatings 429'); } catch { /* ignore */ } },
      });
      if ('error' in result) {
        if (cached) return { symbol, ratings: cached.ratings, consensus: cached.consensus, stale: true };
        return { symbol, ratings: [], consensus: null, error: result.error };
      }
      return { symbol, ratings: result.ratings, consensus: result.consensus };
    }),

    /** Short interest: FINRA bi-monthly (outstanding, regulatory gold) +
     *  FINRA daily volume (weekly activity chart) + NASDAQ/Yahoo (cross-check).
     *  All three outstanding sources compared for discrepancy (apples-to-apples). */
    shortInterest: publicProcedure
      .input(z.object({ symbol: z.string().min(1) }))
      .query(async ({ ctx, input }) => {
        const symbol = input.symbol.toUpperCase();
        const [yfEntry, ndqEntry, frVolEntry, frSiEntry] = await Promise.all([
          ctx.cache.get<Record<string, unknown>>(`yfinance:shortinterest:${symbol}`),
          ctx.cache.get<Record<string, unknown>>(`nasdaq:nasdaqShortinterest:${symbol}`),
          ctx.cache.get<Record<string, unknown>>(`finra-bulk:finraShortinterest:${symbol}`),
          ctx.cache.get<Record<string, unknown>>(`finra-si:finraSiBiweekly:${symbol}`),
        ]);
        let yf = yfEntry.value;
        let ndq = ndqEntry.value;
        let frVol = frVolEntry.value;
        let frSi = frSiEntry.value;

        // Background refresh via shared queue only — no live Yahoo/Nasdaq on request path.
        if (!yf) {
          try { await ctx.queue.queue(`yfinance:shortinterest:${symbol}`); } catch { /* ignore */ }
        }
        if (!ndq) {
          try { await ctx.queue.queue(`nasdaq:nasdaqShortinterest:${symbol}`); } catch { /* ignore */ }
        }
        if (!frVol) {
          try {
            const row = ctx.db.prepare('SELECT settlement_date,exchange,short_volume,short_exempt,total_volume,days_to_cover FROM finra_short_interest WHERE symbol=? ORDER BY settlement_date DESC LIMIT 1').get(symbol) as Record<string, unknown> | undefined;
            if (row) {
              const v = {
                shortVolume: row.short_volume, shortExempt: row.short_exempt, totalVolume: row.total_volume,
                settlementDate: row.settlement_date, exchange: row.exchange, daysToCover: row.days_to_cover,
              };
              await ctx.cache.set(`finra-bulk:finraShortinterest:${symbol}`, v, 'short_interest', {
                fetchedAt: new Date().toISOString(), sourceKind: 'finra-bulk', rawSourceId: symbol,
              });
              frVol = v as Record<string, unknown>;
            }
          } catch { /* ignore */ }
        }
        if (!frSi) {
          try {
            const row = ctx.db.prepare('SELECT current_short_position,previous_short_position,avg_daily_volume,days_to_cover,change_percent,settlement_date,ingested_at FROM finra_short_interest_biweekly WHERE symbol=? ORDER BY settlement_date DESC LIMIT 1').get(symbol) as Record<string, unknown> | undefined;
            if (row) {
              const v = {
                currentShortPosition: row.current_short_position, previousShortPosition: row.previous_short_position,
                avgDailyVolume: row.avg_daily_volume, daysToCover: row.days_to_cover,
                changePercent: row.change_percent, settlementDate: row.settlement_date,
              };
              await ctx.cache.set(`finra-si:finraSiBiweekly:${symbol}`, v, 'short_interest', {
                fetchedAt: new Date().toISOString(), sourceKind: 'finra-si', rawSourceId: symbol,
              });
              frSi = v as Record<string, unknown>;
            }
          } catch { /* ignore */ }
        }

        const comp = [ {s:'finra',v:(frSi?.currentShortPosition as number|undefined)??null}, {s:'nasdaq',v:ndq?.sharesShort as number|null}, {s:'yfinance',v:yf?.sharesShort as number|null} ].filter(x=>x.v!=null&&x.v>0);
        let discPct: number|null=null, discBetw: string|null=null;
        if (comp.length>=2){ const s=[...comp].sort((a,b)=>(b.v??0)-(a.v??0)); const hi=s[0].v!, lo=s[s.length-1].v!; const p=Math.abs(hi-lo)/lo; if(p>0.10){ discPct=Math.round(p*100); discBetw=`${s[0].s} vs ${s[s.length-1].s}`; } }

        const sharesShort = frSi?.currentShortPosition ?? ndq?.sharesShort ?? yf?.sharesShort ?? null;
        const daysToCover = frSi?.daysToCover ?? ndq?.daysToCover ?? yf?.shortRatio ?? null;
        const settlementDate = frSi?.settlementDate ?? ndq?.settlementDate ?? yf?.dateShortInterest ?? null;
        const history = ndq?.history ?? null;

        const biRows = ctx.db.prepare('SELECT settlement_date, current_short_position, previous_short_position, days_to_cover, change_percent FROM finra_short_interest_biweekly WHERE symbol=? AND settlement_date >= date(\'now\',\'-24 months\') ORDER BY settlement_date ASC').all(symbol) as Array<{settlement_date:string;current_short_position:number;previous_short_position:number|null;days_to_cover:number|null;change_percent:number|null}>;
        const finraBiweeklyHistory = biRows.map(r=>({settlementDate:r.settlement_date,currentShortPosition:r.current_short_position,previousShortPosition:r.previous_short_position,daysToCover:r.days_to_cover,changePercent:r.change_percent}));

        const volRows = ctx.db.prepare('SELECT settlement_date,short_volume,total_volume FROM finra_short_interest WHERE symbol=? AND settlement_date >= date(\'now\',\'-180 days\') ORDER BY settlement_date ASC').all(symbol) as Array<{settlement_date:string;short_volume:number;total_volume:number}>;
        const wm=new Map<string,{sv:number;tv:number;e:string}>();
        for (const r of volRows){ const d=new Date(r.settlement_date+'T00:00:00Z'); const mon=d.getUTCDay()===0?6:d.getUTCDay()-1; const we=new Date(d); we.setUTCDate(d.getUTCDate()+mon); const k=we.toISOString().slice(0,10); const e=wm.get(k)||{sv:0,tv:0,e:k}; e.sv+=r.short_volume; e.tv+=r.total_volume; wm.set(k,e); }
        const finraWeekly=[...wm.values()].sort((a,b)=>a.e.localeCompare(b.e)).map(w=>({weekEnding:w.e,shortVolume:w.sv,totalVolume:w.tv,shortPct:w.tv>0?Math.round(w.sv/w.tv*10000)/100:0}));

        return { symbol, sharesShort, sharesShortPriorMonth:yf?.sharesShortPriorMonth??null, sharesPercentSharesOut:yf?.sharesPercentSharesOut??null, shortRatio:yf?.shortRatio??null, shortPercentOfFloat:yf?.shortPercentOfFloat??null, dateShortInterest:yf?.dateShortInterest??null, floatShares:yf?.floatShares??null, sharesOutstanding:yf?.sharesOutstanding??null, daysToCover, settlementDate, history, finraBiweeklyHistory, finraWeekly, discrepancyPct:discPct, discrepancyBetween:discBetw, sources:{yfinance:{available:!!yf,stale:yfEntry.isStale},nasdaq:{available:!!ndq,stale:ndqEntry.isStale},finra:{available:!!frSi,stale:frSiEntry.isStale}}, stale:yfEntry.isStale&&ndqEntry.isStale&&frSiEntry.isStale };
      }),
});

// ─── EDGAR / SEC Filings Router (Slice 6 / M6) ────────────────────────────

interface EdgarFiling {
  form: string;
  dateReporter: string;
  accessionNumber: string;
  accessionNormalization: string;
  reportDate: string;
  reportFile: string;
  primaryDocument: string;
}

interface FilerMeta {
  cik: string;
  name: string | null;
  sic: string | null;
}

interface Form13fHoldingsResult {
  holdings: Array<{
    cusip: string;
    issuerName: string;
    value: number;
    sshPrnamt: number;
  }>;
  total: number;
  accession: string;
}

interface Form4TxResult {
  transactions: Array<{
    reporter: string;
    relationship: string;
    securityTitle: string;
    transactionDate: string;
    transactionCode: string;
    shares: number;
    price: number;
  }>;
  accession: string;
}

const edgarRouter = router({
  /** Recent filings for a CIK, filterable by form type + date range. */
  filings_index: publicProcedure
    .input(z.object({
      cik: z.string().min(1),
      formTypes: z.array(z.string()).optional(),
      dateRange: z.object({ from: z.string().optional(), to: z.string().optional() }).optional(),
    }))
    .query(async ({ ctx, input }) => {
      const edgar = new EdgarAdapter();
      try {
        const result = await edgar.filings_index(input.cik, {
          formTypes: input.formTypes,
          dateRange: input.dateRange,
        });
        return { filings: result.value as EdgarFiling[], cik: input.cik };
      } catch (e) {
        throw new TRPCError({ code: 'NOT_FOUND', message: (e as Error).message });
      }
    }),

  /** Company facts (XBRL-derived financials) for a CIK. */
  company_facts: publicProcedure
    .input(z.object({ cik: z.string().min(1) }))
    .query(async ({ ctx, input }) => {
      const edgar = new EdgarAdapter();
      try {
        const result = await edgar.company_facts(input.cik);
        return { facts: result.value as Record<string, unknown>, cik: input.cik };
      } catch (e) {
        throw new TRPCError({ code: 'NOT_FOUND', message: (e as Error).message });
      }
    }),

  /** Filer CIK/SIC metadata (name + SIC). */
  filer_cik_meta: publicProcedure
    .input(z.object({ cik: z.string().min(1) }))
    .query(async ({ ctx, input }) => {
      const edgar = new EdgarAdapter();
      try {
        const result = await edgar.filer_cik_meta(input.cik);
        return { meta: result.value as FilerMeta, cik: input.cik };
      } catch (e) {
        throw new TRPCError({ code: 'NOT_FOUND', message: (e as Error).message });
      }
    }),

  /** Full-text search across EDGAR filings. */
  full_text_search: publicProcedure
    .input(z.object({ q: z.string().min(1) }))
    .query(async ({ ctx, input }) => {
      const edgar = new EdgarAdapter();
      try {
        const result = await edgar.full_text_search(input.q);
        return { filings: result.value as Array<Record<string, unknown>> };
      } catch (e) {
        throw new TRPCError({ code: 'NOT_FOUND', message: (e as Error).message });
      }
    }),

  /** 13F-HR holdings for a CIK + accession (server-side paginated). */
  form13f_holdings: publicProcedure
    .input(z.object({
      cik: z.string().min(1),
      accession: z.string().min(1),
      limit: z.number().int().positive().optional(),
      offset: z.number().int().min(0).optional(),
    }))
    .query(async ({ ctx, input }) => {
      const edgar = new EdgarAdapter();
      try {
        const result = await edgar.form13f_holdings(input.cik, input.accession, {
          limit: input.limit,
          offset: input.offset,
        });
        const v = result.value as Form13fHoldingsResult;
        return { holdings: v.holdings, total: v.total, accession: v.accession };
      } catch (e) {
        throw new TRPCError({ code: 'NOT_FOUND', message: (e as Error).message });
      }
    }),

  /** Form 4 insider transactions for a CIK + accession. */
  form4_tx: publicProcedure
    .input(z.object({ cik: z.string().min(1), accession: z.string().min(1) }))
    .query(async ({ ctx, input }) => {
      const edgar = new EdgarAdapter();
      try {
        const result = await edgar.form4_tx(input.cik, input.accession);
        return { transactions: result.value as Form4TxResult };
      } catch (e) {
        throw new TRPCError({ code: 'NOT_FOUND', message: (e as Error).message });
      }
    }),
});

// ─── Watchlist Router (Slice 10) ─────────────────────────────────────────────

const watchlistRouter = router({
  /** List all symbols across all watchlists for the user. */
  list: publicProcedure
    .query(async ({ ctx }) => {
      const userId = ctx.userId ?? 'anonymous';
      const { listSymbols } = await import('../db/watchlistRepository.ts');
      return listSymbols(ctx.db, userId);
    }),

  /** List symbols for a specific watchlist. */
  listByWatchlist: publicProcedure
    .input(z.object({ name: z.string().min(1).max(100) }))
    .query(async ({ ctx, input }) => {
      const userId = ctx.userId ?? 'anonymous';
      const { listSymbolsByWatchlist } = await import('../db/watchlistRepository.ts');
      return listSymbolsByWatchlist(ctx.db, userId, input.name);
    }),

  /** List watchlist metadata (name, symbol count, sort order). */
  listWatchlists: publicProcedure
    .query(async ({ ctx }) => {
      const userId = ctx.userId ?? 'anonymous';
      const { listWatchlists } = await import('../db/watchlistRepository.ts');
      return listWatchlists(ctx.db, userId);
    }),

  /** Create a new named watchlist. */
  create: publicProcedure
    .input(z.object({ name: z.string().min(1).max(100) }))
    .mutation(async ({ ctx, input }) => {
      const userId = ctx.userId ?? 'anonymous';
      const { createWatchlist } = await import('../db/watchlistRepository.ts');
      return createWatchlist(ctx.db, userId, input.name);
    }),

  /** Delete a watchlist by name. */
  delete: publicProcedure
    .input(z.object({ name: z.string().min(1) }))
    .mutation(async ({ ctx, input }) => {
      const userId = ctx.userId ?? 'anonymous';
      const { deleteWatchlist } = await import('../db/watchlistRepository.ts');
      return { deleted: deleteWatchlist(ctx.db, userId, input.name) };
    }),

  /** Rename a watchlist. */
  rename: publicProcedure
    .input(z.object({ oldName: z.string().min(1), newName: z.string().min(1).max(100) }))
    .mutation(async ({ ctx, input }) => {
      const userId = ctx.userId ?? 'anonymous';
      const { renameWatchlist } = await import('../db/watchlistRepository.ts');
      return { renamed: renameWatchlist(ctx.db, userId, input.oldName, input.newName) };
    }),

  /** Reorder watchlists (bulk update sort_order). */
  reorder: publicProcedure
    .input(z.object({ orders: z.array(z.object({ id: z.string(), sort_order: z.number().int() })) }))
    .mutation(async ({ ctx, input }) => {
      const userId = ctx.userId ?? 'anonymous';
      const { reorderWatchlists } = await import('../db/watchlistRepository.ts');
      reorderWatchlists(ctx.db, userId, input.orders);
      return { ok: true };
    }),

  /** Add a symbol to a watchlist (defaults to 'default' watchlist). */
  addSymbol: publicProcedure
    .input(z.object({
      symbol: z.string().toUpperCase(),
      watchlistName: z.string().optional(),
      notes: z.string().optional(),
    }))
    .mutation(async ({ ctx, input }) => {
      const userId = ctx.userId ?? 'anonymous';
      const { addSymbol, materializeClassificationWatchlists } = await import('../db/watchlistRepository.ts');
      const added = addSymbol(ctx.db, userId, input.symbol, input.notes, input.watchlistName);
      if (added) {
        materializeClassificationWatchlists(ctx.db, userId);
        try { await ctx.cache.subscribe(input.symbol, 'equity'); } catch { /* ignore */ }
        try { queueSecFetch(ctx.db, input.symbol); } catch { /* ignore */ }
      }
      return { added };
    }),

  /** Remove a symbol from a watchlist (defaults to 'default'). */
  removeSymbol: publicProcedure
    .input(z.object({
      symbol: z.string().toUpperCase(),
      watchlistName: z.string().optional(),
    }))
    .mutation(async ({ ctx, input }) => {
      const userId = ctx.userId ?? 'anonymous';
      const { removeSymbol, materializeClassificationWatchlists } = await import('../db/watchlistRepository.ts');
      const removed = removeSymbol(ctx.db, userId, input.symbol, input.watchlistName);
      if (removed) {
        materializeClassificationWatchlists(ctx.db, userId);
        try { await ctx.cache.unsubscribe(input.symbol); } catch { /* ignore */ }
      }
      return { removed };
    }),

  /** Move a symbol from one watchlist to another (both default to 'default'). */
  moveSymbol: publicProcedure
    .input(z.object({
      symbol: z.string().toUpperCase(),
      fromWatchlist: z.string().optional(),
      toWatchlist: z.string().optional(),
    }))
    .mutation(async ({ ctx, input }) => {
      const userId = ctx.userId ?? 'anonymous';
      const { moveSymbol } = await import('../db/watchlistRepository.ts');
      const moved = moveSymbol(ctx.db, userId, input.symbol, input.fromWatchlist ?? 'default', input.toWatchlist ?? 'default');
      return { moved };
    }),
});

// ─── Portfolio Router (Slice 10) ──────────────────────────────────────────────

const portfolioRouter = router({
  /** List all open holdings. */
  holdings: publicProcedure
    .query(async ({ ctx }) => {
      const userId = ctx.userId ?? 'anonymous';
      const { listHoldings } = await import('../db/portfolioRepository.ts');
      return listHoldings(ctx.db, userId);
    }),

  /** Add or accumulate a holding. */
  addHolding: publicProcedure
    .input(z.object({ symbol: z.string().toUpperCase(), shares: z.number().positive(), avgCost: z.number().min(0) }))
    .mutation(async ({ ctx, input }) => {
      const userId = ctx.userId ?? 'anonymous';
      const { addHolding } = await import('../db/portfolioRepository.ts');
      const created = addHolding(ctx.db, userId, input.symbol, input.shares, input.avgCost);
      try {
        const { materializePortfolioWatchlist } = await import('../db/watchlistRepository.ts');
        materializePortfolioWatchlist(ctx.db, userId);
      } catch { /* ignore */ }
      if (created) {
        try { await ctx.cache.subscribe(input.symbol, 'equity'); } catch { /* ignore */ }
        try { queueSecFetch(ctx.db, input.symbol); } catch { /* ignore */ }
      }
      return { created };
    }),

  /** Update an existing holding's shares and/or avg cost. */
  updateHolding: publicProcedure
    .input(z.object({
      symbol: z.string().toUpperCase(),
      shares: z.number().positive().optional(),
      avgCost: z.number().min(0).optional(),
    }))
    .mutation(async ({ ctx, input }) => {
      const userId = ctx.userId ?? 'anonymous';
      const { updateHolding } = await import('../db/portfolioRepository.ts');
      const updated = updateHolding(ctx.db, userId, input.symbol, { shares: input.shares, avgCost: input.avgCost });
      try {
        const { materializePortfolioWatchlist } = await import('../db/watchlistRepository.ts');
        materializePortfolioWatchlist(ctx.db, userId);
      } catch { /* ignore */ }
      return { updated };
    }),

  /** Remove (close) a holding. */
  removeHolding: publicProcedure
    .input(z.object({ symbol: z.string().toUpperCase() }))
    .mutation(async ({ ctx, input }) => {
      const userId = ctx.userId ?? 'anonymous';
      const { removeHolding } = await import('../db/portfolioRepository.ts');
      const removed = removeHolding(ctx.db, userId, input.symbol);
      try {
        const { materializePortfolioWatchlist } = await import('../db/watchlistRepository.ts');
        materializePortfolioWatchlist(ctx.db, userId);
      } catch { /* ignore */ }
      if (removed) {
        await ctx.cache.unsubscribe(input.symbol);
      }
      return { removed };
    }),

  /** List open option legs (user book, not chain cache). */
  optionLegs: protectedProcedure.query(async ({ ctx }) => {
    const userId = ctx.userId as string;
    const { listOptionLegs } = await import('../db/portfolioOptionRepository.ts');
    return listOptionLegs(ctx.db, userId);
  }),

  /** Record a new option leg. */
  addOptionLeg: protectedProcedure
    .input(z.object({
      underlying: z.string().min(1),
      right: z.enum(['call', 'put']),
      side: z.enum(['long', 'short']),
      strike: z.number().positive(),
      expiry: z.string().min(4),
      contracts: z.number().positive(),
      premium: z.number().min(0),
      multiplier: z.number().positive().optional(),
      role: z.enum(['long_call', 'long_put', 'covered_call', 'cash_secured_put', 'other']).optional(),
      note: z.string().optional(),
    }))
    .mutation(async ({ ctx, input }) => {
      const userId = ctx.userId as string;
      const { addOptionLeg, listOptionLegs } = await import('../db/portfolioOptionRepository.ts');
      const id = addOptionLeg(ctx.db, userId, {
        underlying: input.underlying,
        right: input.right,
        side: input.side,
        strike: input.strike,
        expiry: input.expiry,
        contracts: input.contracts,
        premium: input.premium,
        multiplier: input.multiplier,
        role: input.role,
        note: input.note ?? null,
      });
      const legs = listOptionLegs(ctx.db, userId);
      return { id, legs };
    }),

  /** Soft-close an option leg. */
  removeOptionLeg: protectedProcedure
    .input(z.object({ id: z.string().min(1) }))
    .mutation(async ({ ctx, input }) => {
      const userId = ctx.userId as string;
      const { removeOptionLeg } = await import('../db/portfolioOptionRepository.ts');
      const removed = removeOptionLeg(ctx.db, userId, input.id);
      return { removed };
    }),
});

// ─── Options Router (Slice 15 / M3) ────────────────────────────────────────

const optionsRouter = router({
  /** Full options chain for a symbol + optional expiry. */
  chain: publicProcedure
    .input(z.object({ symbol: z.string().min(1), expiry: z.string().optional() }))
    .query(async ({ ctx, input }) => {
      const symbol = input.symbol.toUpperCase();
      const adapter = new OptionsAdapter();

      // If no expiry specified, fetch expiry dates and pick nearest
      let expiry: string | undefined;
      if (input.expiry) {
        expiry = input.expiry;
      } else {
        try {
          const dates = await adapter.expiryDates(symbol);
          if (dates.length === 0) {
            return { symbol, expiration: null, rows: [] as OptionChainRow[] };
          }
          // Pick the nearest expiry date
          expiry = dates.sort()[0];
        } catch {
          return { symbol, expiration: null, rows: [] as OptionChainRow[] };
        }
      }

      try {
        const chain = await adapter.chain(symbol, expiry);
        return { symbol, expiration: chain.expiration, rows: chain.rows };
      } catch {
        return { symbol, expiration: expiry ?? null, rows: [] as OptionChainRow[] };
      }
    }),

  /** Greeks for a specific option (strike + expiry). */
  greeks: publicProcedure
    .input(z.object({ symbol: z.string().min(1), expiry: z.string().optional(), strike: z.number().optional() }))
    .query(async ({ ctx, input }) => {
      const symbol = input.symbol.toUpperCase();
      const adapter = new OptionsAdapter();

      // If no expiry specified, fetch first available
      let expiry: string | undefined;
      if (input.expiry) {
        expiry = input.expiry;
      } else {
        try {
          const dates = await adapter.expiryDates(symbol);
          if (dates.length === 0) {
            return { symbol, greeks: null as OptionGreeks | null };
          }
          expiry = dates.sort()[0];
        } catch {
          return { symbol, greeks: null as OptionGreeks | null };
        }
      }

      try {
        const key = `yfinance:greeks:${symbol}:${expiry}:${input.strike ?? 0}`;
        const result = await adapter.fetchOne(key);
        const row = result.value as OptionChainRow | null;
        return {
          symbol,
          greeks: row?.greeks ?? null,
          strike: row?.strike ?? input.strike ?? null,
          right: row?.right ?? null,
          lastPrice: row?.lastPrice ?? null,
          impliedVolatility: row?.impliedVolatility ?? null,
        };
      } catch {
        return { symbol, greeks: null as OptionGreeks | null };
      }
    }),
});

// ─── Dealer Flow (GEX/VEX map) — cache-only reads, schedule-on-miss (ADR-0009) ───
const dealerMapRouter = router({
  /** Full map + Layer-0 educator. Never hits Yahoo on this path. */
  get: protectedProcedure
    .input(z.object({
      symbol: z.string().min(1),
      forceSchedule: z.boolean().optional(),
      maxExpiries: z.number().int().min(1).max(8).optional(),
      /** classic = call+/put−; dealer_inventory = Heatseeker-style sign flip */
      convention: z.enum(['classic_call_pos_put_neg', 'dealer_inventory']).optional(),
    }))
    .query(async ({ ctx, input }) => {
      const { getDealerMap } = await import('../analysis/dealerMapService.ts');
      return getDealerMap(
        { db: ctx.db, cache: ctx.cache, queue: ctx.queue },
        input.symbol,
        {
          forceSchedule: input.forceSchedule,
          maxExpiries: input.maxExpiries,
          convention: input.convention,
        },
      );
    }),

  /** Compact levels for Research strip / chips. */
  levels: protectedProcedure
    .input(z.object({ symbol: z.string().min(1) }))
    .query(async ({ ctx, input }) => {
      const { getDealerMap } = await import('../analysis/dealerMapService.ts');
      const result = await getDealerMap(
        { db: ctx.db, cache: ctx.cache, queue: ctx.queue },
        input.symbol,
      );
      if (!result.map) {
        return {
          symbol: input.symbol.toUpperCase(),
          status: result.status,
          scheduled: result.scheduled,
          levels: null as null,
          spot: null as number | null,
          delayNote: null as string | null,
          providerId: result.providerId,
        };
      }
      return {
        symbol: result.map.symbol,
        status: result.status,
        scheduled: result.scheduled,
        levels: result.map.levels,
        spot: result.map.spot,
        delayNote: result.map.delayNote,
        providerId: result.map.providerId,
        regimeAtSpot: result.map.regimeAtSpot,
        scenario: result.map.scenario,
        patterns: result.map.patterns.map((p) => p.id),
      };
    }),

  /** Scenario + Layer-0 educator only. */
  scenario: protectedProcedure
    .input(z.object({ symbol: z.string().min(1) }))
    .query(async ({ ctx, input }) => {
      const { getDealerMap } = await import('../analysis/dealerMapService.ts');
      const result = await getDealerMap(
        { db: ctx.db, cache: ctx.cache, queue: ctx.queue },
        input.symbol,
      );
      return {
        symbol: input.symbol.toUpperCase(),
        status: result.status,
        scenario: result.map?.scenario ?? 'insufficient_data',
        regimeAtSpot: result.map?.regimeAtSpot ?? 'mixed',
        patterns: result.map?.patterns ?? [],
        educator: result.educator,
        delayNote: result.map?.delayNote ?? result.message ?? null,
        providerId: result.providerId,
      };
    }),

  /** Velocity summary when prior snapshot exists. */
  velocity: protectedProcedure
    .input(z.object({ symbol: z.string().min(1) }))
    .query(async ({ ctx, input }) => {
      const { getDealerMap } = await import('../analysis/dealerMapService.ts');
      const result = await getDealerMap(
        { db: ctx.db, cache: ctx.cache, queue: ctx.queue },
        input.symbol,
      );
      return {
        symbol: input.symbol.toUpperCase(),
        status: result.status,
        velocity: result.map?.velocity ?? null,
        message: result.map?.velocity
          ? null
          : 'No prior-day snapshot yet - velocity appears after the first daily recompute.',
      };
    }),

  /** L1 beginner explain via user's OpenAI-compatible endpoint (or L0 fallback). */
  explain: protectedProcedure
    .input(z.object({ symbol: z.string().min(1) }))
    .mutation(async ({ ctx, input }) => {
      try {
        const { getDealerMap } = await import('../analysis/dealerMapService.ts');
        const { explainDealerMap } = await import('../analysis/dealerMapExplain.ts');
        const result = await getDealerMap(
          { db: ctx.db, cache: ctx.cache, queue: ctx.queue },
          input.symbol,
        );
        if (!result.map) {
          return {
            ok: false,
            source: 'error' as const,
            headline: 'No map available',
            sections: {
              whatMapShows: result.message ?? 'Map not ready yet.',
              keyLevels: [] as string[],
              scenarioInPlainEnglish: '',
              questionsToAsk: [] as string[],
              caveats: [result.message ?? ''],
              dataFreshness: '',
            },
            error: result.message,
          };
        }
        return await explainDealerMap(ctx.db, ctx.userId!, result.map);
      } catch (e) {
        // Never surface an uncaught 500 for AI explain - degrade to structured error.
        console.error('[dealerMap.explain]', e);
        const msg = e instanceof Error ? e.message : String(e);
        return {
          ok: false,
          source: 'error' as const,
          headline: 'Interpretation unavailable',
          sections: {
            whatMapShows: 'The AI explanation step failed. The map itself is unaffected.',
            keyLevels: [] as string[],
            scenarioInPlainEnglish: '',
            questionsToAsk: [
              'Retry in a moment?',
              'Is your OpenAI-compatible endpoint reachable from Settings → Test?',
            ],
            caveats: [msg],
            dataFreshness: '',
          },
          error: msg,
        };
      }
    }),
});

// ─── Dealer Flow Study Desk (educational practice + auto-grade) ────────────
const HIST_MIN_N = 5;
/** Mentor structure rates only influence rank when enough decided grades exist. */
const MENTOR_HIST_MIN_N = 20;

function studyScorecardForUser(db: Context['db'], userId: string) {
  const rows = db.prepare(
    `SELECT hypothesis_id, grade, score FROM dealer_study_setups WHERE owner_id=?`,
  ).all(userId) as Array<{ hypothesis_id: string; grade: string | null; score: number | null }>;

  type Agg = {
    hypothesisId: string;
    n: number;
    wins: number;
    losses: number;
    expired: number;
    incomplete: number;
    scoreSum: number;
    scoreN: number;
  };
  const map = new Map<string, Agg>();
  for (const r of rows) {
    const a = map.get(r.hypothesis_id) ?? {
      hypothesisId: r.hypothesis_id,
      n: 0,
      wins: 0,
      losses: 0,
      expired: 0,
      incomplete: 0,
      scoreSum: 0,
      scoreN: 0,
    };
    a.n++;
    if (r.grade === 'win') a.wins++;
    else if (r.grade === 'loss') a.losses++;
    else if (r.grade === 'expired') a.expired++;
    else a.incomplete++;
    if (typeof r.score === 'number') {
      a.scoreSum += r.score;
      a.scoreN++;
    }
    map.set(r.hypothesis_id, a);
  }

  return [...map.values()].map((a) => {
    const decided = a.wins + a.losses;
    return {
      hypothesisId: a.hypothesisId,
      n: a.n,
      wins: a.wins,
      losses: a.losses,
      expired: a.expired,
      incomplete: a.incomplete,
      decidedN: decided,
      winRate: decided > 0 ? a.wins / decided : null,
      avgScore: a.scoreN > 0 ? a.scoreSum / a.scoreN : null,
    };
  }).sort((x, y) => y.n - x.n);
}

/** Path-match rates by mentor claim_type (all handles combined for structure type). */
function mentorClaimScorecard(db: Context['db'], userId: string) {
  const rows = db.prepare(
    `SELECT claim_type, grade, score FROM mentor_calls
     WHERE owner_id=? AND status IN ('confirmed','graded')`,
  ).all(userId) as Array<{ claim_type: string; grade: string | null; score: number | null }>;

  type Agg = {
    claimType: string;
    n: number;
    wins: number;
    losses: number;
    scoreSum: number;
    scoreN: number;
  };
  const map = new Map<string, Agg>();
  for (const r of rows) {
    const a = map.get(r.claim_type) ?? {
      claimType: r.claim_type,
      n: 0,
      wins: 0,
      losses: 0,
      scoreSum: 0,
      scoreN: 0,
    };
    a.n++;
    if (r.grade === 'win') a.wins++;
    else if (r.grade === 'loss') a.losses++;
    if (typeof r.score === 'number') {
      a.scoreSum += r.score;
      a.scoreN++;
    }
    map.set(r.claim_type, a);
  }
  return [...map.values()].map((a) => {
    const decided = a.wins + a.losses;
    return {
      claimType: a.claimType,
      n: a.n,
      decidedN: decided,
      winRate: decided > 0 ? a.wins / decided : null,
      avgScore: a.scoreN > 0 ? a.scoreSum / a.scoreN : null,
    };
  });
}

const dealerStudyRouter = router({
  /** Propose study setups from current cache-only map (+ hist / optional mentor rank). */
  propose: protectedProcedure
    .input(z.object({
      symbol: z.string().min(1),
      /** When true, blend mentor structure path-match rates into rank (default false). */
      useMentorHistory: z.boolean().optional(),
    }))
    .query(async ({ ctx, input }) => {
      const { getDealerMap } = await import('../analysis/dealerMapService.ts');
      const { proposeStudySetups } = await import('../analysis/dealerStudyEngine.ts');
      const { HYPOTHESIS_TO_CLAIM } = await import('../analysis/mentorCallExtract.ts');
      const useMentor = input.useMentorHistory === true;
      const result = await getDealerMap(
        { db: ctx.db, cache: ctx.cache, queue: ctx.queue },
        input.symbol,
      );
      if (!result.map) {
        return {
          symbol: input.symbol.toUpperCase(),
          proposals: [] as Array<ReturnType<typeof proposeStudySetups>[number] & {
            histWinRate: number | null;
            histN: number;
            histAvgScore: number | null;
            mentorWinRate: number | null;
            mentorN: number;
            mentorClaimType: string | null;
            rankScore: number;
          }>,
          message: result.message ?? 'Map not ready yet.',
          status: result.status,
          useMentorHistory: useMentor,
        };
      }
      const card = studyScorecardForUser(ctx.db, ctx.userId!);
      const byH = new Map(card.map((c) => [c.hypothesisId, c]));
      const mentorByClaim = new Map(
        mentorClaimScorecard(ctx.db, ctx.userId!).map((c) => [c.claimType, c]),
      );

      const proposals = proposeStudySetups(result.map).map((p) => {
        const h = byH.get(p.hypothesisId);
        const decidedN = h?.decidedN ?? 0;
        const histWinRate = decidedN >= HIST_MIN_N ? h!.winRate : null;
        const histAvgScore = decidedN >= HIST_MIN_N ? h!.avgScore : null;

        const claimType = HYPOTHESIS_TO_CLAIM[p.hypothesisId] ?? null;
        const m = claimType ? mentorByClaim.get(claimType) : undefined;
        const mentorDecided = m?.decidedN ?? 0;
        // Always surface mentor stats when available; only blend into rank when toggled + N large enough.
        const mentorWinRate = mentorDecided > 0 ? m!.winRate : null;
        const mentorN = mentorDecided;
        const mentorForRank =
          useMentor && mentorDecided >= MENTOR_HIST_MIN_N ? mentorWinRate : null;

        let rankScore = p.confidence;
        if (histWinRate != null && mentorForRank != null) {
          rankScore = p.confidence * 0.5 + histWinRate * 0.3 + mentorForRank * 0.2;
        } else if (histWinRate != null) {
          rankScore = p.confidence * 0.6 + histWinRate * 0.4;
        } else if (mentorForRank != null) {
          rankScore = p.confidence * 0.7 + mentorForRank * 0.3;
        }

        return {
          ...p,
          histWinRate,
          histN: decidedN,
          histAvgScore,
          mentorWinRate,
          mentorN,
          mentorClaimType: claimType,
          rankScore,
        };
      }).sort((a, b) => b.rankScore - a.rankScore);
      return {
        symbol: result.map.symbol,
        proposals,
        message: null as string | null,
        status: result.status,
        useMentorHistory: useMentor,
      };
    }),

  /** Log a study setup for later auto-grade. */
  log: protectedProcedure
    .input(z.object({
      symbol: z.string().min(1),
      hypothesisId: z.string().min(1),
      title: z.string().min(1),
      bias: z.enum(['educational_long', 'educational_short', 'educational_range']),
      mapReading: z.string(),
      studyQuestion: z.string(),
      entry: z.number(),
      invalidation: z.number(),
      target: z.number(),
      horizonDays: z.number().int().min(1).max(30),
      confidence: z.number().optional(),
      disclaimer: z.string().optional(),
    }))
    .mutation(async ({ ctx, input }) => {
      const { getDealerMap } = await import('../analysis/dealerMapService.ts');
      const result = await getDealerMap(
        { db: ctx.db, cache: ctx.cache, queue: ctx.queue },
        input.symbol,
      );
      const id = randomUUID();
      const loggedAt = new Date().toISOString();
      const snapshot = result.map
        ? JSON.stringify({
            symbol: result.map.symbol,
            spot: result.map.spot,
            asOf: result.map.asOf,
            regimeAtSpot: result.map.regimeAtSpot,
            scenario: result.map.scenario,
            levels: result.map.levels,
            patterns: result.map.patterns,
          })
        : '{}';
      const disclaimer =
        input.disclaimer ??
        'Educational observation only.';
      ctx.db.prepare(`
        INSERT INTO dealer_study_setups (
          id, owner_id, symbol, hypothesis_id, title, bias, map_reading, study_question,
          entry, invalidation, target, horizon_days, confidence, map_snapshot,
          status, logged_at, disclaimer
        ) VALUES (?,?,?,?,?,?,?,?,?,?,?,?,?,?, 'open', ?, ?)
      `).run(
        id,
        ctx.userId!,
        input.symbol.toUpperCase(),
        input.hypothesisId,
        input.title,
        input.bias,
        input.mapReading,
        input.studyQuestion,
        input.entry,
        input.invalidation,
        input.target,
        input.horizonDays,
        input.confidence ?? null,
        snapshot,
        loggedAt,
        disclaimer,
      );
      // Ensure daily candles are in demand for later grading (ADR-0009).
      try {
        await ctx.cache.ensureInDemand(input.symbol.toUpperCase(), 'equity');
      } catch { /* optional */ }
      return { ok: true as const, id, loggedAt };
    }),

  list: protectedProcedure
    .input(z.object({
      symbol: z.string().optional(),
      limit: z.number().int().min(1).max(100).optional(),
    }).optional())
    .query(async ({ ctx, input }) => {
      const limit = input?.limit ?? 30;
      const symbol = input?.symbol?.toUpperCase();
      const rows = symbol
        ? ctx.db.prepare(
            `SELECT * FROM dealer_study_setups WHERE owner_id=? AND symbol=? ORDER BY logged_at DESC LIMIT ?`,
          ).all(ctx.userId!, symbol, limit)
        : ctx.db.prepare(
            `SELECT * FROM dealer_study_setups WHERE owner_id=? ORDER BY logged_at DESC LIMIT ?`,
          ).all(ctx.userId!, limit);
      return rows as Array<Record<string, unknown>>;
    }),

  grade: protectedProcedure
    .input(z.object({ id: z.string().min(1) }))
    .mutation(async ({ ctx, input }) => {
      const { gradeStudySetup } = await import('../analysis/dealerStudyEngine.ts');
      const row = ctx.db.prepare(
        `SELECT * FROM dealer_study_setups WHERE id=? AND owner_id=?`,
      ).get(input.id, ctx.userId!) as {
        id: string;
        symbol: string;
        bias: 'educational_long' | 'educational_short' | 'educational_range';
        entry: number;
        invalidation: number;
        target: number;
        horizon_days: number;
        logged_at: string;
      } | undefined;
      if (!row) throw new TRPCError({ code: 'NOT_FOUND', message: 'Study setup not found.' });

      const candles = ctx.db.prepare(
        `SELECT ts,o,h,l,c FROM price_candles WHERE symbol=? AND timeframe='1d' ORDER BY ts ASC`,
      ).all(row.symbol) as Array<{ ts: string; o: number; h: number; l: number; c: number }>;

      const result = gradeStudySetup(
        {
          bias: row.bias,
          entry: row.entry,
          invalidation: row.invalidation,
          target: row.target,
          horizonDays: row.horizon_days,
          loggedAt: row.logged_at,
        },
        candles.map((b) => ({ ts: b.ts, o: b.o, h: b.h, l: b.l, c: b.c })),
      );

      const status = result.grade === 'incomplete' ? 'open' : 'graded';
      ctx.db.prepare(`
        UPDATE dealer_study_setups
        SET status=?, grade=?, score=?, grade_summary=?, grade_path=?, graded_at=?
        WHERE id=? AND owner_id=?
      `).run(
        status,
        result.grade,
        result.score,
        result.summary,
        JSON.stringify(result.pathNotes),
        result.gradedAt,
        row.id,
        ctx.userId!,
      );

      return { ok: true as const, ...result, status };
    }),

  gradeDue: protectedProcedure.mutation(async ({ ctx }) => {
    const { gradeStudySetup } = await import('../analysis/dealerStudyEngine.ts');
    const open = ctx.db.prepare(
      `SELECT * FROM dealer_study_setups WHERE owner_id=? AND (status='open' OR grade='incomplete')`,
    ).all(ctx.userId!) as Array<{
      id: string;
      symbol: string;
      bias: 'educational_long' | 'educational_short' | 'educational_range';
      entry: number;
      invalidation: number;
      target: number;
      horizon_days: number;
      logged_at: string;
    }>;

    let graded = 0;
    let incomplete = 0;
    for (const row of open) {
      const candles = (ctx.db.prepare(
        `SELECT ts,o,h,l,c FROM price_candles WHERE symbol=? AND timeframe='1d' ORDER BY ts ASC`,
      ).all(row.symbol) as Array<{ ts: string; o: number; h: number; l: number; c: number }>);
      const result = gradeStudySetup(
        {
          bias: row.bias,
          entry: row.entry,
          invalidation: row.invalidation,
          target: row.target,
          horizonDays: row.horizon_days,
          loggedAt: row.logged_at,
        },
        candles,
      );
      const status = result.grade === 'incomplete' ? 'open' : 'graded';
      if (status === 'graded') graded++;
      else incomplete++;
      ctx.db.prepare(`
        UPDATE dealer_study_setups
        SET status=?, grade=?, score=?, grade_summary=?, grade_path=?, graded_at=?
        WHERE id=? AND owner_id=?
      `).run(
        status,
        result.grade,
        result.score,
        result.summary,
        JSON.stringify(result.pathNotes),
        result.gradedAt,
        row.id,
        ctx.userId!,
      );
    }
    return { ok: true as const, considered: open.length, graded, incomplete };
  }),

  scorecard: protectedProcedure.query(async ({ ctx }) => {
    return studyScorecardForUser(ctx.db, ctx.userId!).map(({ decidedN: _d, ...rest }) => rest);
  }),

  /** Copy a study into journal as a planned trade draft (not an order). */
  promoteToJournal: protectedProcedure
    .input(z.object({ studyId: z.string().min(1) }))
    .mutation(async ({ ctx, input }) => {
      const row = ctx.db.prepare(
        `SELECT * FROM dealer_study_setups WHERE id=? AND owner_id=?`,
      ).get(input.studyId, ctx.userId!) as {
        id: string;
        symbol: string;
        hypothesis_id: string;
        title: string;
        bias: string;
        map_reading: string;
        study_question: string;
        entry: number;
        invalidation: number;
        target: number;
        horizon_days: number;
      } | undefined;
      if (!row) throw new TRPCError({ code: 'NOT_FOUND', message: 'Study setup not found.' });

      const tradeId = randomUUID();
      const date = new Date().toISOString().slice(0, 10);
      const targets = JSON.stringify([
        { price: row.target, reason: `Study target (${row.hypothesis_id})` },
      ]);
      const justifications = JSON.stringify({
        entryWhy: row.map_reading,
        stopWhy: `Study invalidation for ${row.hypothesis_id}`,
        targetWhy: row.study_question,
        studySetupId: row.id,
        educational: true,
        note: 'Draft from Study Desk.',
      });
      const env =
        row.bias === 'educational_range'
          ? 'ranging'
          : row.bias === 'educational_long'
            ? 'trending'
            : 'transitioning';

      ctx.db.prepare(`
        INSERT INTO trades (
          id, owner_id, trade_id, symbol, date, status, environment, tier,
          confluence_score, risk_pct, position_size, entry_price, stop_loss,
          targets, justifications, checklist_completed
        ) VALUES (?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,0)
      `).run(
        tradeId,
        ctx.userId!,
        tradeId,
        row.symbol,
        date,
        'planned',
        env,
        'B',
        null,
        null,
        null,
        row.entry,
        row.invalidation,
        targets,
        justifications,
      );

      return {
        ok: true as const,
        tradeId,
        message:
          'Journal draft created (planned). Review in Plan/Journal - not an order to trade real money.',
      };
    }),

  /** Owner-scoped CSV of study rows for offline review. */
  exportCsv: protectedProcedure
    .input(z.object({
      symbol: z.string().optional(),
      limit: z.number().int().min(1).max(2000).optional(),
    }).optional())
    .query(async ({ ctx, input }) => {
      const limit = input?.limit ?? 500;
      const symbol = input?.symbol?.toUpperCase();
      const rows = symbol
        ? ctx.db.prepare(
            `SELECT * FROM dealer_study_setups WHERE owner_id=? AND symbol=? ORDER BY logged_at DESC LIMIT ?`,
          ).all(ctx.userId!, symbol, limit)
        : ctx.db.prepare(
            `SELECT * FROM dealer_study_setups WHERE owner_id=? ORDER BY logged_at DESC LIMIT ?`,
          ).all(ctx.userId!, limit);

      const cols = [
        'id', 'symbol', 'hypothesis_id', 'title', 'bias', 'entry', 'invalidation', 'target',
        'horizon_days', 'confidence', 'status', 'grade', 'score', 'grade_summary', 'logged_at', 'graded_at',
      ];
      const escape = (v: unknown) => {
        if (v == null) return '';
        const s = String(v);
        if (/[",\n]/.test(s)) return `"${s.replace(/"/g, '""')}"`;
        return s;
      };
      const lines = [cols.join(',')];
      for (const r of rows as Array<Record<string, unknown>>) {
        lines.push(cols.map((c) => escape(r[c])).join(','));
      }
      return {
        filename: `dealer-study-${symbol ?? 'all'}-${new Date().toISOString().slice(0, 10)}.csv`,
        csv: lines.join('\n'),
        rowCount: rows.length,
      };
    }),
});

// ─── Mentor call ledger (local path-match grades; privacy-first) ───────────
const mentorLedgerRouter = router({
  /** Scan local harvest raw/ for draft mentor calls (no cloud LLM). */
  importFromHarvest: protectedProcedure
    .input(z.object({
      handle: z.string().optional(),
      maxFiles: z.number().int().min(1).max(500).optional(),
    }).optional())
    .mutation(async ({ ctx, input }) => {
      const { readdirSync, readFileSync, existsSync, statSync } = await import('node:fs');
      const { join } = await import('node:path');
      const { extractMentorCallFromMarkdown } = await import('../analysis/mentorCallExtract.ts');
      const rawRoot = join(process.cwd(), 'data', 'dealer-flow-raw', 'by-handle');
      if (!existsSync(rawRoot)) {
        return { ok: true as const, imported: 0, skipped: 0, message: 'No harvest folder yet. Run npm run dealer-flow:harvest first.' };
      }

      const handles = input?.handle
        ? [input.handle.replace(/^@/, '')]
        : readdirSync(rawRoot).filter((h) => h !== '_template' && !h.startsWith('.'));
      const maxFiles = input?.maxFiles ?? 200;
      let imported = 0;
      let skipped = 0;
      let filesSeen = 0;
      const now = new Date().toISOString();

      for (const handle of handles) {
        const dir = join(rawRoot, handle);
        if (!existsSync(dir) || !statSync(dir).isDirectory()) continue;
        ctx.db.prepare(
          `INSERT INTO mentor_sources (handle, enabled, notes, updated_at) VALUES (?,?,?,?)
           ON CONFLICT(handle) DO UPDATE SET updated_at=excluded.updated_at`,
        ).run(handle, 1, 'Imported from local harvest', now);

        const files = readdirSync(dir).filter((f) => f.endsWith('.md')).slice(0, maxFiles);
        for (const f of files) {
          if (filesSeen >= maxFiles) break;
          filesSeen++;
          const path = join(dir, f);
          let md = '';
          try {
            md = readFileSync(path, 'utf8');
          } catch {
            skipped++;
            continue;
          }
          const draft = extractMentorCallFromMarkdown(md, { handle, rawPath: path });
          if (!draft || !draft.symbol || draft.bias === 'unclear') {
            skipped++;
            continue;
          }
          const id = randomUUID();
          try {
            const run = ctx.db.prepare(`
              INSERT INTO mentor_calls (
                id, owner_id, handle, post_id, posted_at, symbol, bias, claim_type,
                entry, invalidation, target, horizon_days, excerpt, extract_confidence,
                status, logged_at
              ) VALUES (?,?,?,?,?,?,?,?,?,?,?,?,?,?, 'draft', ?)
              ON CONFLICT(owner_id, handle, post_id) DO NOTHING
            `).run(
              id,
              ctx.userId!,
              draft.handle,
              draft.postId,
              draft.postedAt,
              draft.symbol,
              draft.bias,
              draft.claimType,
              draft.entry,
              draft.invalidation,
              draft.target,
              draft.horizonDays,
              draft.excerpt,
              draft.extractConfidence,
              now,
            ) as { changes?: number };
            if ((run.changes ?? 0) > 0) imported++;
            else skipped++;
          } catch {
            skipped++;
          }
        }
      }
      return { ok: true as const, imported, skipped, filesSeen, message: null as string | null };
    }),

  list: protectedProcedure
    .input(z.object({
      handle: z.string().optional(),
      status: z.string().optional(),
      limit: z.number().int().min(1).max(200).optional(),
    }).optional())
    .query(async ({ ctx, input }) => {
      const limit = input?.limit ?? 50;
      const handle = input?.handle?.replace(/^@/, '');
      const status = input?.status;
      if (handle && status) {
        return ctx.db.prepare(
          `SELECT * FROM mentor_calls WHERE owner_id=? AND handle=? AND status=? ORDER BY logged_at DESC LIMIT ?`,
        ).all(ctx.userId!, handle, status, limit);
      }
      if (handle) {
        return ctx.db.prepare(
          `SELECT * FROM mentor_calls WHERE owner_id=? AND handle=? ORDER BY logged_at DESC LIMIT ?`,
        ).all(ctx.userId!, handle, limit);
      }
      return ctx.db.prepare(
        `SELECT * FROM mentor_calls WHERE owner_id=? ORDER BY logged_at DESC LIMIT ?`,
      ).all(ctx.userId!, limit);
    }),

  /** Confirm draft so it can be graded. */
  confirm: protectedProcedure
    .input(z.object({
      id: z.string().min(1),
      entry: z.number().optional(),
      invalidation: z.number().optional(),
      target: z.number().optional(),
      bias: z.enum(['educational_long', 'educational_short', 'educational_range']).optional(),
      horizonDays: z.number().int().min(1).max(30).optional(),
      symbol: z.string().optional(),
    }))
    .mutation(async ({ ctx, input }) => {
      const row = ctx.db.prepare(
        `SELECT * FROM mentor_calls WHERE id=? AND owner_id=?`,
      ).get(input.id, ctx.userId!) as Record<string, unknown> | undefined;
      if (!row) throw new TRPCError({ code: 'NOT_FOUND', message: 'Mentor call not found.' });
      ctx.db.prepare(`
        UPDATE mentor_calls SET
          status='confirmed',
          entry=COALESCE(?, entry),
          invalidation=COALESCE(?, invalidation),
          target=COALESCE(?, target),
          bias=COALESCE(?, bias),
          horizon_days=COALESCE(?, horizon_days),
          symbol=COALESCE(?, symbol)
        WHERE id=? AND owner_id=?
      `).run(
        input.entry ?? null,
        input.invalidation ?? null,
        input.target ?? null,
        input.bias ?? null,
        input.horizonDays ?? null,
        input.symbol?.toUpperCase() ?? null,
        input.id,
        ctx.userId!,
      );
      return { ok: true as const };
    }),

  discard: protectedProcedure
    .input(z.object({ id: z.string().min(1) }))
    .mutation(async ({ ctx, input }) => {
      ctx.db.prepare(
        `UPDATE mentor_calls SET status='discarded' WHERE id=? AND owner_id=?`,
      ).run(input.id, ctx.userId!);
      return { ok: true as const };
    }),

  grade: protectedProcedure
    .input(z.object({ id: z.string().min(1) }))
    .mutation(async ({ ctx, input }) => {
      const { gradeStudySetup } = await import('../analysis/dealerStudyEngine.ts');
      const row = ctx.db.prepare(
        `SELECT * FROM mentor_calls WHERE id=? AND owner_id=?`,
      ).get(input.id, ctx.userId!) as {
        id: string;
        symbol: string | null;
        bias: 'educational_long' | 'educational_short' | 'educational_range';
        entry: number;
        invalidation: number;
        target: number;
        horizon_days: number;
        posted_at: string | null;
        logged_at: string;
        status: string;
      } | undefined;
      if (!row) throw new TRPCError({ code: 'NOT_FOUND', message: 'Mentor call not found.' });
      if (row.status === 'discarded') {
        throw new TRPCError({ code: 'BAD_REQUEST', message: 'Call was discarded.' });
      }
      if (!row.symbol) {
        throw new TRPCError({ code: 'BAD_REQUEST', message: 'Symbol required before grade.' });
      }

      const loggedAt = row.posted_at && row.posted_at.length >= 10
        ? (row.posted_at.includes('T') ? row.posted_at : `${row.posted_at}T00:00:00.000Z`)
        : row.logged_at;

      try {
        await ctx.cache.ensureInDemand(row.symbol, 'equity');
      } catch { /* optional */ }

      const candles = ctx.db.prepare(
        `SELECT ts,o,h,l,c FROM price_candles WHERE symbol=? AND timeframe='1d' ORDER BY ts ASC`,
      ).all(row.symbol) as Array<{ ts: string; o: number; h: number; l: number; c: number }>;

      const result = gradeStudySetup(
        {
          bias: row.bias,
          entry: row.entry,
          invalidation: row.invalidation,
          target: row.target,
          horizonDays: row.horizon_days,
          loggedAt,
        },
        candles,
      );
      const status = result.grade === 'incomplete' ? 'confirmed' : 'graded';
      ctx.db.prepare(`
        UPDATE mentor_calls
        SET status=?, grade=?, score=?, grade_summary=?, grade_path=?, graded_at=?
        WHERE id=? AND owner_id=?
      `).run(
        status,
        result.grade,
        result.score,
        result.summary,
        JSON.stringify(result.pathNotes),
        result.gradedAt,
        row.id,
        ctx.userId!,
      );
      return { ok: true as const, ...result, status };
    }),

  gradeDue: protectedProcedure.mutation(async ({ ctx }) => {
    const { gradeStudySetup } = await import('../analysis/dealerStudyEngine.ts');
    const open = ctx.db.prepare(
      `SELECT * FROM mentor_calls WHERE owner_id=? AND status IN ('confirmed','graded') AND (grade IS NULL OR grade='incomplete')`,
    ).all(ctx.userId!) as Array<{
      id: string;
      symbol: string | null;
      bias: 'educational_long' | 'educational_short' | 'educational_range';
      entry: number;
      invalidation: number;
      target: number;
      horizon_days: number;
      posted_at: string | null;
      logged_at: string;
    }>;
    let graded = 0;
    let incomplete = 0;
    for (const row of open) {
      if (!row.symbol) {
        incomplete++;
        continue;
      }
      const loggedAt = row.posted_at && row.posted_at.length >= 10
        ? (row.posted_at.includes('T') ? row.posted_at : `${row.posted_at.slice(0, 10)}T00:00:00.000Z`)
        : row.logged_at;
      const candles = ctx.db.prepare(
        `SELECT ts,o,h,l,c FROM price_candles WHERE symbol=? AND timeframe='1d' ORDER BY ts ASC`,
      ).all(row.symbol) as Array<{ ts: string; o: number; h: number; l: number; c: number }>;
      const result = gradeStudySetup(
        {
          bias: row.bias,
          entry: row.entry,
          invalidation: row.invalidation,
          target: row.target,
          horizonDays: row.horizon_days,
          loggedAt,
        },
        candles,
      );
      const status = result.grade === 'incomplete' ? 'confirmed' : 'graded';
      if (status === 'graded') graded++;
      else incomplete++;
      ctx.db.prepare(`
        UPDATE mentor_calls
        SET status=?, grade=?, score=?, grade_summary=?, grade_path=?, graded_at=?
        WHERE id=? AND owner_id=?
      `).run(
        status,
        result.grade,
        result.score,
        result.summary,
        JSON.stringify(result.pathNotes),
        result.gradedAt,
        row.id,
        ctx.userId!,
      );
    }
    return { ok: true as const, considered: open.length, graded, incomplete };
  }),

  scorecard: protectedProcedure
    .input(z.object({ handle: z.string().optional() }).optional())
    .query(async ({ ctx, input }) => {
      const handle = input?.handle?.replace(/^@/, '');
      const rows = handle
        ? ctx.db.prepare(
            `SELECT handle, claim_type, grade, score FROM mentor_calls WHERE owner_id=? AND handle=?`,
          ).all(ctx.userId!, handle)
        : ctx.db.prepare(
            `SELECT handle, claim_type, grade, score FROM mentor_calls WHERE owner_id=?`,
          ).all(ctx.userId!);

      type Agg = {
        key: string;
        handle: string;
        claimType: string;
        n: number;
        wins: number;
        losses: number;
        expired: number;
        incomplete: number;
        scoreSum: number;
        scoreN: number;
      };
      const map = new Map<string, Agg>();
      for (const r of rows as Array<{ handle: string; claim_type: string; grade: string | null; score: number | null }>) {
        const key = `${r.handle}::${r.claim_type}`;
        const a = map.get(key) ?? {
          key,
          handle: r.handle,
          claimType: r.claim_type,
          n: 0,
          wins: 0,
          losses: 0,
          expired: 0,
          incomplete: 0,
          scoreSum: 0,
          scoreN: 0,
        };
        a.n++;
        if (r.grade === 'win') a.wins++;
        else if (r.grade === 'loss') a.losses++;
        else if (r.grade === 'expired') a.expired++;
        else a.incomplete++;
        if (typeof r.score === 'number') {
          a.scoreSum += r.score;
          a.scoreN++;
        }
        map.set(key, a);
      }
      return [...map.values()].map((a) => {
        const decided = a.wins + a.losses;
        return {
          handle: a.handle,
          claimType: a.claimType,
          n: a.n,
          wins: a.wins,
          losses: a.losses,
          expired: a.expired,
          incomplete: a.incomplete,
          winRate: decided > 0 ? a.wins / decided : null,
          avgScore: a.scoreN > 0 ? a.scoreSum / a.scoreN : null,
        };
      }).sort((x, y) => y.n - x.n);
    }),
});

// ─── Per-user OpenAI-compatible LLM endpoint ───────────────────────────────
const userLlmRouter = router({
  status: protectedProcedure.query(async ({ ctx }) => {
    const { getUserLlmStatus } = await import('../llm/userLlmEndpoint.ts');
    return getUserLlmStatus(ctx.db, ctx.userId!);
  }),

  upsertEndpoint: protectedProcedure
    .input(z.object({
      baseUrl: z.string().min(1),
      apiKey: z.string().optional(),
      model: z.string().optional(),
      keepExistingKey: z.boolean().optional(),
    }))
    .mutation(async ({ ctx, input }) => {
      const { upsertUserLlmEndpoint } = await import('../llm/userLlmEndpoint.ts');
      return upsertUserLlmEndpoint(ctx.db, ctx.userId!, {
        baseUrl: input.baseUrl,
        apiKey: input.apiKey,
        model: input.model,
        keepExistingKey: input.keepExistingKey ?? true,
      });
    }),

  clear: protectedProcedure.mutation(async ({ ctx }) => {
    const { clearUserLlmEndpoint } = await import('../llm/userLlmEndpoint.ts');
    clearUserLlmEndpoint(ctx.db, ctx.userId!);
    return { ok: true as const };
  }),

  test: protectedProcedure
    .input(z.object({
      baseUrl: z.string().min(1).optional(),
      apiKey: z.string().optional(),
      model: z.string().optional(),
    }).optional())
    .mutation(async ({ ctx, input }) => {
      const { loadUserLlmSecret, getUserLlmStatus } = await import('../llm/userLlmEndpoint.ts');
      const { testEndpoint } = await import('../llm/openaiCompatible.ts');
      const saved = loadUserLlmSecret(ctx.db, ctx.userId!);
      const baseUrl = input?.baseUrl?.trim() || saved?.baseUrl;
      if (!baseUrl) return { ok: false as const, error: 'No base URL configured' };
      const apiKey = input?.apiKey !== undefined && input.apiKey !== ''
        ? input.apiKey
        : saved?.apiKey ?? null;
      const model = input?.model?.trim() || saved?.model || 'gpt-4o-mini';
      const result = await testEndpoint({ baseUrl, apiKey, model });
      if (result.ok) {
        // touch status read for UI
        getUserLlmStatus(ctx.db, ctx.userId!);
      }
      return result;
    }),
});

const reportsRouter = router({
  /** Generate a research note report. */
  generate: protectedProcedure
    .input(z.object({
      scope: z.enum(['symbol', 'watchlist', 'portfolio', 'rotation', 'sizing_year', 'risk_posture']),
      symbol: z.string().optional(),
      data: z.record(z.string(), z.unknown()).optional().default({}),
    }))
    .query(async ({ ctx, input }) => {
      const { generateReport } = await import('../reports/ReportRunner.ts');
      return generateReport({
        scope: input.scope,
        symbol: input.symbol,
        data: input.data as Record<string, unknown>,
      });
    }),
});

// ─── Screener Router (Slice 13) ─────────────────────────────────────────────

const screenerRouter = router({
  /** Filter screener — evaluate a filter expression over a universe. */
  filter: protectedProcedure
    .input(z.object({
      expression: z.string().min(1),
      scope: z.enum(['watchlist', 'sector']).default('watchlist'),
      sector: z.string().optional(),
    }))
    .query(async ({ ctx, input }) => {
      const { filterUniverse, scopeUniverse } = await import('../screener/UniverseEvaluator.ts');
      // Build universe from cache (simplified — uses watchlist symbols)
      const userId = ctx.userId as string;
      const wlRow = ctx.db.prepare('SELECT symbols FROM watchlists WHERE owner_id=? ORDER BY sort_order LIMIT 1').get(userId) as { symbols: string } | undefined;
      const symbols: string[] = wlRow ? JSON.parse(wlRow.symbols) : [];
      const universe: SymbolUniverseData[] = [];
      for (const sym of symbols) {
        const entry = await ctx.cache.get<unknown>(`yfinance:quote:${sym}`);
        const quote = entry.value as { regularMarketPrice?: number; regularMarketVolume?: number; averageVolume?: number } | null;
        universe.push({
          symbol: sym,
          price: quote?.regularMarketPrice,
          volume: quote?.regularMarketVolume,
          avgVolume: quote?.averageVolume,
        });
      }
      return { results: filterUniverse(input.expression, universe), scope: input.scope };
    }),

  /** Strategy screener — screen universe against strategy entry conditions. */
  strategy: protectedProcedure
    .input(z.object({ strategyId: z.string() }))
    .query(async ({ ctx, input }) => {
      const { screenByStrategy } = await import('../screener/UniverseEvaluator.ts');
      const strat = ctx.db.prepare('SELECT * FROM strategies WHERE id=? AND owner_id=?').get(input.strategyId, ctx.userId) as { components: string } | undefined;
      if (!strat) throw new TRPCError({ code: 'NOT_FOUND', message: 'Strategy not found.' });
      const components = JSON.parse(strat.components) as Array<{ type: string; conditions?: string[] }>;
      const setup = components.find((c) => c.type === 'setup');
      if (!setup?.conditions) return { results: [] };
      const userId = ctx.userId as string;
      const wlRow = ctx.db.prepare('SELECT symbols FROM watchlists WHERE owner_id=? ORDER BY sort_order LIMIT 1').get(userId) as { symbols: string } | undefined;
      const symbols: string[] = wlRow ? JSON.parse(wlRow.symbols) : [];
      const universe: SymbolUniverseData[] = [];
      for (const sym of symbols) {
        const entry = await ctx.cache.get<unknown>(`yfinance:quote:${sym}`);
        const quote = entry.value as { regularMarketPrice?: number; regularMarketVolume?: number; averageVolume?: number } | null;
        universe.push({ symbol: sym, price: quote?.regularMarketPrice, volume: quote?.regularMarketVolume, avgVolume: quote?.averageVolume });
      }
      return { results: screenByStrategy(setup.conditions, universe) };
    }),
});

// ─── Strategy + Backtest Router (Slice 12) ──────────────────────────────────

const strategyRouter = router({
  list: protectedProcedure.query(async ({ ctx }) => {
    const userId = ctx.userId as string;
    return ctx.db.prepare('SELECT id, name, components, unlocked, created_at FROM strategies WHERE owner_id=? ORDER BY created_at DESC').all(userId);
  }),

  create: protectedProcedure
    .input(z.object({ name: z.string().min(1), components: z.array(z.unknown()) }))
    .mutation(async ({ ctx, input }) => {
      const userId = ctx.userId as string;
      const id = randomUUID();
      ctx.db.prepare('INSERT INTO strategies (id, owner_id, name, components, unlocked, created_at) VALUES (?,?,?,?,?,?)').run(id, userId, input.name, JSON.stringify(input.components), 0, new Date().toISOString());
      return { id };
    }),

  listPresets: protectedProcedure.query(async ({ ctx }) => {
    return ctx.db.prepare('SELECT * FROM strategy_presets ORDER BY created_at ASC').all();
    }),

  get: protectedProcedure
    .input(z.object({ id: z.string() }))
    .query(async ({ ctx, input }) => {
      const userId = ctx.userId as string;
      const row = ctx.db.prepare('SELECT * FROM strategies WHERE id=? AND owner_id=?').get(input.id, userId);
      if (!row) throw new TRPCError({ code: 'NOT_FOUND', message: 'Strategy not found.' });
      return row;
    }),

  getPreset: protectedProcedure
    .input(z.object({ id: z.string() }))
    .query(async ({ ctx, input }) => {
      const preset = ctx.db.prepare('SELECT * FROM strategy_presets WHERE id=?').get(input.id);
      if (!preset) throw new TRPCError({ code: 'NOT_FOUND', message: 'Preset not found.' });
      return preset;
    }),

  forkPreset: protectedProcedure
    .input(z.object({ presetId: z.string() }))
    .mutation(async ({ ctx, input }) => {
      const userId = ctx.userId as string;
      const preset = ctx.db.prepare('SELECT * FROM strategy_presets WHERE id=?').get(input.presetId) as Record<string, unknown> | undefined;
      if (!preset) throw new TRPCError({ code: 'NOT_FOUND', message: 'Preset not found.' });
      const id = randomUUID();
      const now = new Date().toISOString();
      ctx.db.prepare(`
        INSERT INTO strategies (id, owner_id, name, preset_id, scope, regime_gate, setup, components, exit_profile, risk_policy, is_public, created_at)
        VALUES (?,?,?,?,?,?,?,?,?,?,0,?)
      `).run(id, userId, preset.name, preset.id, preset.scope, 'any', preset.entry_rules, preset.entry_rules, preset.exit_profile, preset.risk_policy, now);
      return { id, name: preset.name };
    }),

  suggestTickers: protectedProcedure
    .input(z.object({ presetId: z.string() }))
    .query(async ({ ctx, input }) => {
      const preset = ctx.db.prepare('SELECT * FROM strategy_presets WHERE id=?').get(input.presetId) as Record<string, unknown> | undefined;
      if (!preset) throw new TRPCError({ code: 'NOT_FOUND', message: 'Preset not found.' });

      // Load available data for live suggestions
      const rotationData = ctx.db.prepare(`
        SELECT symbol, kind, rs_1m, rs_1w, leadership FROM rotation_rank_snapshots
        WHERE date = (SELECT MAX(date) FROM rotation_rank_snapshots)
        ORDER BY rs_1m DESC
      `).all() as Array<{ symbol: string; kind: string; rs_1m: number | null; rs_1w: number | null; leadership: string }>;

      const symbolsData = ctx.db.prepare('SELECT symbol, name, sector, ticker_kind FROM symbols').all() as Array<{ symbol: string; name: string | null; sector: string | null; ticker_kind: string }>;
      const symbolsMap = new Map(symbolsData.map(s => [s.symbol, s]));

      const dividendData = ctx.db.prepare('SELECT symbol, dividend_yield, payout_ratio, growth_streak_years FROM dividend_fundamentals').all() as Array<{ symbol: string; dividend_yield: number | null; payout_ratio: number | null; growth_streak_years: number | null }>;
      const dividendMap = new Map(dividendData.map(d => [d.symbol, d]));

      // Helper: get symbol name from map or return null
      const nameOf = (s: string): string | null => symbolsMap.get(s)?.name ?? null;

      // Helper: get tickers in leading rotation sectors
      const leadingSectors = new Set(rotationData.filter(r => r.leadership === 'leading').map(r => r.symbol));
      const rotatedSymbols = rotationData.map(r => r.symbol);

      // Helper: find equities in a sector from symbols table (limited to the 102 we track)
      const stocksInSectors = (sectors: string[]): string[] =>
        symbolsData.filter(s => s.ticker_kind === 'equity' && s.sector && sectors.some(sec => s.sector!.includes(sec))).map(s => s.symbol);

      interface Suggestion { symbol: string; name: string | null; role: string; allocationPct: number; reason: string; source: 'live' | 'default'; }

      let suggestions: Suggestion[] = [];

      switch (input.presetId) {
        case 'dca_accumulation': {
          // Top ETFs + top large-cap stocks from rotation leaders
          const etfs = symbolsData.filter(s => s.ticker_kind === 'etf').slice(0, 3);
          suggestions = etfs.map((e, i) => ({
            symbol: e.symbol, name: e.name, role: 'Core holding',
            allocationPct: [60, 25, 15][i] ?? 10,
            reason: 'Broad market ETF - low cost diversification',
            source: 'live' as const,
          }));
          if (suggestions.length === 0) {
            suggestions = [
              { symbol: 'VOO', name: 'S&P 500 ETF', role: 'Core holding', allocationPct: 60, reason: 'Broad market low-cost ETF', source: 'default' },
              { symbol: 'IVV', name: 'S&P 500 ETF (iShares)', role: 'Core holding', allocationPct: 40, reason: 'Alternative broad market ETF', source: 'default' },
            ];
          }
          break;
        }
        case 'dividend_growth': {
          // Live: query dividend_fundamentals for yield >= 2%, payout <= 60%
          const candidates = dividendData.filter(d =>
            d.dividend_yield != null && d.dividend_yield >= 2 &&
            d.payout_ratio != null && d.payout_ratio <= 60
          ).sort((a, b) => (b.growth_streak_years ?? 0) - (a.growth_streak_years ?? 0)).slice(0, 4);
          if (candidates.length > 0) {
            const pcts = [40, 25, 20, 15];
            suggestions = candidates.map((c, i) => ({
              symbol: c.symbol, name: nameOf(c.symbol), role: 'Dividend growth',
              allocationPct: pcts[i] ?? 10,
              reason: c.growth_streak_years ? `${c.growth_streak_years}+ year dividend growth streak` : 'Stable dividend payer',
              source: 'live' as const,
            }));
          } else {
            suggestions = [
              { symbol: 'SCHD', name: 'Schwab US Dividend Equity ETF', role: 'Dividend growth', allocationPct: 40, reason: 'Strong dividend growth history', source: 'default' },
              { symbol: 'JNJ', name: 'Johnson & Johnson', role: 'Dividend growth', allocationPct: 20, reason: '60+ years of dividend growth', source: 'default' },
              { symbol: 'KO', name: 'Coca-Cola', role: 'Dividend growth', allocationPct: 20, reason: '60+ years of dividend growth', source: 'default' },
              { symbol: 'PG', name: 'Procter & Gamble', role: 'Dividend growth', allocationPct: 20, reason: '130+ years of dividends', source: 'default' },
            ];
          }
          break;
        }
        case 'core_satellite': {
          // Core: fixed ETFs. Satellite: top rotation ETFs + top stock in leading sector.
          const coreEtfs = symbolsData.filter(s => ['VOO', 'VTI', 'IVV', 'VXUS'].includes(s.symbol));
          suggestions = coreEtfs.length > 0 ? coreEtfs.slice(0, 2).map((e, i) => ({
            symbol: e.symbol, name: e.name, role: 'Core', allocationPct: [50, 20][i] ?? 15,
            reason: i === 0 ? 'Broad market core holding' : 'International diversification', source: 'live' as const,
          })) : [
            { symbol: 'VOO', name: 'S&P 500 ETF', role: 'Core', allocationPct: 50, reason: 'Broad market core holding', source: 'default' },
            { symbol: 'VXUS', name: 'Total International Stock ETF', role: 'Core', allocationPct: 20, reason: 'International diversification', source: 'default' },
          ];
          // Satellite: top ETF from rotation leaders
          const topRotated = rotationData.filter(r => r.leadership === 'leading' || r.rs_1m != null).slice(0, 2);
          suggestions.push(...topRotated.map((r, i) => ({
            symbol: r.symbol, name: nameOf(r.symbol) ?? r.symbol, role: i === 0 ? 'Satellite - Growth' : 'Satellite - Thematic',
            allocationPct: [15, 15][i] ?? 10,
            reason: r.rs_1m ? `Sector momentum: 1M RS ${r.rs_1m > 0 ? '+' : ''}${r.rs_1m.toFixed(1)}pp` : 'Rotation leader',
            source: 'live' as const,
          })));
          if (suggestions.length < 4) {
            suggestions.push({ symbol: 'QQQ', name: 'Nasdaq 100 ETF', role: 'Satellite - Growth', allocationPct: 15, reason: 'Tech-heavy growth exposure', source: 'default' });
          }
          break;
        }
        case 'barbell_strategy': {
          // Safe core + bond ETF + top growth stocks from rotation
          suggestions = [
            { symbol: 'VOO', name: nameOf('VOO') ?? 'S&P 500 ETF', role: 'Safe core', allocationPct: 50, reason: 'Broad market core', source: 'live' as const },
            { symbol: 'BND', name: nameOf('BND') ?? 'Total Bond Market ETF', role: 'Safe bonds', allocationPct: 30, reason: 'Bond diversification', source: 'live' as const },
          ];
          // Growth picks: top equities from symbols in leading sectors, or fallback
          const growthPicks = symbolsData.filter(s =>
            s.ticker_kind === 'equity' && s.sector && leadingSectors.size > 0 &&
            Array.from(leadingSectors).some(ls => s.sector!.includes(ls.replace(' ', '/')))
          ).slice(0, 2);
          if (growthPicks.length >= 2) {
            suggestions.push({ symbol: growthPicks[0].symbol, name: growthPicks[0].name, role: 'Growth bet', allocationPct: 10, reason: 'Leading sector momentum', source: 'live' });
            suggestions.push({ symbol: growthPicks[1].symbol, name: growthPicks[1].name, role: 'Growth bet', allocationPct: 10, reason: 'Sector rotation leader', source: 'live' });
          } else {
            suggestions.push({ symbol: 'NVDA', name: 'NVIDIA Corporation', role: 'Growth bet', allocationPct: 10, reason: 'High-growth tech leader', source: 'default' });
            suggestions.push({ symbol: 'AMZN', name: 'Amazon.com Inc', role: 'Growth bet', allocationPct: 10, reason: 'High-growth consumer/cloud leader', source: 'default' });
          }
          break;
        }
        case 'covered_call_wheel': {
          // Large-cap liquid stocks with active options
          const liquidStocks = symbolsData.filter(s => s.ticker_kind === 'equity' && ['AAPL', 'MSFT', 'NVDA', 'AMZN', 'GOOGL', 'META', 'TSLA'].includes(s.symbol)).slice(0, 4);
          if (liquidStocks.length >= 4) {
            const pcts = [30, 30, 20, 20];
            suggestions = liquidStocks.map((s, i) => ({
              symbol: s.symbol, name: s.name, role: 'Covered call',
              allocationPct: pcts[i] ?? 15,
              reason: 'High liquidity, strong options market', source: 'live' as const,
            }));
          } else {
            suggestions = [
              { symbol: 'AAPL', name: 'Apple Inc.', role: 'Covered call', allocationPct: 30, reason: 'High liquidity, strong options market', source: 'default' },
              { symbol: 'MSFT', name: 'Microsoft Corporation', role: 'Covered call', allocationPct: 30, reason: 'High liquidity, stable price', source: 'default' },
              { symbol: 'NVDA', name: 'NVIDIA Corporation', role: 'Covered call', allocationPct: 20, reason: 'Active options chain', source: 'default' },
              { symbol: 'AMZN', name: 'Amazon.com Inc', role: 'Covered call', allocationPct: 20, reason: 'High liquidity options market', source: 'default' },
            ];
          }
          break;
        }
        default: {
          // Fallback: use example_tickers from preset
          const examples = preset.example_tickers as string | null;
          if (examples) {
            try { suggestions = JSON.parse(examples); } catch { suggestions = []; }
          }
        }
      }

      return suggestions;
    }),
});

const backtestRouter = router({
  run: protectedProcedure
    .input(z.object({ strategyId: z.string(), symbol: z.string(), timeframe: z.enum(['1d', '1wk']).default('1d') }))
    .query(async ({ ctx, input }) => {
      const { BacktestEngine } = await import('../strategy/BacktestEngine.ts');
      const strat = ctx.db.prepare('SELECT * FROM strategies WHERE id=? AND owner_id=?').get(input.strategyId, ctx.userId) as { id: string; owner_id: string; name: string; components: string; unlocked: number; created_at: string } | undefined;
      if (!strat) throw new TRPCError({ code: 'NOT_FOUND', message: 'Strategy not found.' });
      const strategy = {
        id: strat.id, ownerId: strat.owner_id, name: strat.name,
        components: JSON.parse(strat.components), unlocked: !!strat.unlocked, createdAt: strat.created_at,
      };
      const candleEntry = await ctx.cache.get<unknown[]>(`yfinance:candles:${input.symbol}:${input.timeframe}`);
      const candles = candleEntry.value ?? [];
      const engine = new BacktestEngine();
      return engine.run(strategy, input.symbol.toUpperCase(), candles as any[], input.timeframe);
    }),

  evaluateLatest: protectedProcedure
    .input(z.object({ strategyId: z.string(), symbol: z.string() }))
    .query(async ({ ctx, input }) => {
      const { BacktestEngine } = await import('../strategy/BacktestEngine.ts');
      const strat = ctx.db.prepare('SELECT * FROM strategies WHERE id=? AND owner_id=?').get(input.strategyId, ctx.userId) as { id: string; owner_id: string; name: string; components: string; unlocked: number; created_at: string } | undefined;
      if (!strat) throw new TRPCError({ code: 'NOT_FOUND', message: 'Strategy not found.' });
      const strategy = {
        id: strat.id, ownerId: strat.owner_id, name: strat.name,
        components: JSON.parse(strat.components), unlocked: !!strat.unlocked, createdAt: strat.created_at,
      };
      const candleEntry = await ctx.cache.get<unknown[]>(`yfinance:candles:${input.symbol}:1d`);
      const candles = candleEntry.value ?? [];
      const engine = new BacktestEngine();
      return engine.evaluateLatest(strategy, candles as any[]);
    }),

  runPortfolio: protectedProcedure
    .input(z.object({
      allocations: z.array(z.object({ symbol: z.string(), targetPct: z.number() })),
      rebalanceFreq: z.enum(['none', 'quarterly', 'annual']).default('quarterly'),
      driftThreshold: z.number().default(5),
    }))
    .query(async ({ ctx, input }) => {
      const { PortfolioBacktestEngine } = await import('../strategy/PortfolioBacktestEngine.ts');
      const candles: Record<string, unknown[]> = {};
      for (const a of input.allocations) {
        const entry = await ctx.cache.get<unknown[]>(`yfinance:candles:${a.symbol}:1d`);
        candles[a.symbol] = entry.value ?? [];
      }
      const engine = new PortfolioBacktestEngine();
      return engine.run({
        allocations: input.allocations,
        candles,
        rebalanceFreq: input.rebalanceFreq,
        driftThreshold: input.driftThreshold,
      });
    }),
});

// ─── Sector Crosslink Router (Slice 14) ─────────────────────────────────────

const sectorCrosslinkRouter = router({
  confirm: protectedProcedure
    .input(z.object({ strategyId: z.string(), sector: z.string() }))
    .query(async ({ ctx, input }) => {
      const { crossLinkSector } = await import('../screener/SectorCrosslink.ts');
      const strat = ctx.db.prepare('SELECT * FROM strategies WHERE id=? AND owner_id=?').get(input.strategyId, ctx.userId) as { components: string } | undefined;
      if (!strat) throw new TRPCError({ code: 'NOT_FOUND', message: 'Strategy not found.' });
      const components = JSON.parse(strat.components) as Array<{ type: string; conditions?: string[] }>;
      const setup = components.find((c) => c.type === 'setup');
      const conditions = setup?.conditions ?? [];
      // Get rotation signals from DB if available
      const signals = ctx.db.prepare('SELECT * FROM rotation_signals ORDER BY ts DESC LIMIT 10').all() as Array<Record<string, unknown>>;
      const rotationSignals = signals.map((s) => ({
        fromSector: String(s.from_sector ?? ''),
        toSector: String(s.to_sector ?? s.sector ?? ''),
        confidence: Number(s.confidence ?? 50),
        date: String(s.ts ?? ''),
      }));
      const universe: any[] = [];
      return crossLinkSector(input.strategyId, input.sector, conditions, universe, rotationSignals);
    }),
});

// ─── Derisking Router (Slice 23) ────────────────────────────────────────────

const deriskingRouter = router({
  suggest: protectedProcedure
    .input(z.object({
      symbol: z.string(),
      currentPrice: z.number(),
      avgCost: z.number(),
      shares: z.number(),
      ema21: z.number().optional(),
      ema50: z.number().optional(),
      thesisStatus: z.enum(['intact', 'weakening', 'broken']).optional(),
      currentRegime: z.enum(['trending-up', 'trending-down', 'range-bound']).optional(),
      portfolioCorrelation: z.number().optional(),
      profitTargets: z.array(z.number()).optional(),
      dividendYield: z.number().optional(),
      payoutRatio: z.number().optional(),
    }))
    .query(async ({ ctx, input }) => {
      const { suggestDerisking } = await import('../derisking/DeriskingEngine.ts');
      return { suggestions: suggestDerisking(input) };
    }),

  dividendHealth: protectedProcedure
    .input(z.object({ symbol: z.string() }))
    .query(async ({ ctx, input }) => {
      const entry = await ctx.cache.get<Record<string, unknown>>(`yfinance:dividendFundamentals:${input.symbol}`);
      return { data: entry.value };
    }),
});

// ─── Macro Router (Slice 20) ────────────────────────────────────────────────

const macroRouter = router({
  series: protectedProcedure
    .input(z.object({ seriesId: z.string() }))
    .query(async ({ ctx, input }) => {
      const { FredAdapterImpl } = await import('../macro/FredAdapter.ts');
      const adapter = new FredAdapterImpl();
      return adapter.series(input.seriesId);
    }),

  calendar: protectedProcedure.query(async ({ ctx }) => {
    // Return cached economic calendar events
    const entry = await ctx.cache.get<unknown[]>('macro:calendar');
    return { events: entry.value ?? [], isStale: entry.isStale };
  }),

  regimeClassify: protectedProcedure.query(async ({ ctx }) => {
    const { classifyRegime } = await import('../macro/MacroRegime.ts');
    const input: Record<string, number> = {};
    try {
      const gdpEntry = await ctx.cache.get<unknown>('fred:series:GDP');
      if (gdpEntry?.value) { const obs = (gdpEntry.value as any).observations; if (obs?.length) input.gdpGrowth = obs[obs.length - 1].value; }
    } catch { /* no cached GDP data */ }
    try {
      const cpiEntry = await ctx.cache.get<unknown>('fred:series:CPIAUCSL');
      if (cpiEntry?.value) { const obs = (cpiEntry.value as any).observations; if (obs?.length) input.cpi = obs[obs.length - 1].value; }
    } catch { /* no cached CPI data */ }
    return classifyRegime(input);
  }),

  commentary: publicProcedure.query(async ({ ctx }) => {
    const { classifyRegime, generateMacroCommentary } = await import('../macro/MacroRegime.ts');
    const input: Record<string, number> = {};
    try {
      const gdpEntry = await ctx.cache.get<unknown>('fred:series:GDP');
      if (gdpEntry?.value) { const obs = (gdpEntry.value as any).observations; if (obs?.length) input.gdpGrowth = obs[obs.length - 1].value; }
    } catch { /* no cached GDP data */ }
    try {
      const cpiEntry = await ctx.cache.get<unknown>('fred:series:CPIAUCSL');
      if (cpiEntry?.value) { const obs = (cpiEntry.value as any).observations; if (obs?.length) input.cpi = obs[obs.length - 1].value; }
    } catch { /* no cached CPI data */ }
    try {
      const unrateEntry = await ctx.cache.get<unknown>('fred:series:UNRATE');
      if (unrateEntry?.value) { const obs = (unrateEntry.value as any).observations; if (obs?.length) input.unemployment = obs[obs.length - 1].value; }
    } catch { /* no cached unemployment data */ }
    try {
      const gs10Entry = await ctx.cache.get<unknown>('fred:series:GS10');
      if (gs10Entry?.value) { const obs = (gs10Entry.value as any).observations; if (obs?.length) input.treasury10Y = obs[obs.length - 1].value; }
    } catch { /* no cached 10Y data */ }
    const classification = classifyRegime(input);
    return generateMacroCommentary(classification);
  }),

  regimeHistory: protectedProcedure.query(async ({ ctx }) => {
    return ctx.db.prepare('SELECT * FROM regime_history ORDER BY date DESC LIMIT 50').all();
  }),
});

// ─── Thesis Monitor Router (Slice 21) ───────────────────────────────────────

const thesisMonitorRouter = router({
  assess: protectedProcedure
    .input(z.object({ symbol: z.string() }))
    .query(async ({ ctx, input }) => {
      const { assessThesis } = await import('../thesis/ThesisMonitor.ts');
      const userId = ctx.userId as string;
      const thesis = ctx.db.prepare('SELECT * FROM theses WHERE user_id=? AND symbol=? ORDER BY updated_at DESC LIMIT 1').get(userId, input.symbol.toUpperCase()) as { statement: string; invalidation_criteria: string } | undefined;
      if (!thesis) throw new TRPCError({ code: 'NOT_FOUND', message: 'No thesis found for this symbol.' });
      const events: ThesisEvent[] = [];
      // Gather events from DB (form4, 13f, etc.)
      return assessThesis({
        symbol: input.symbol.toUpperCase(),
        statement: thesis.statement,
        invalidationCriteria: JSON.parse(thesis.invalidation_criteria) as string[],
        createdAt: new Date().toISOString(),
      }, events);
    }),

  timeline: protectedProcedure.query(async ({ ctx }) => {
    const { buildTimeline } = await import('../thesis/ThesisMonitor.ts');
    const userId = ctx.userId as string;
    const theses = ctx.db.prepare('SELECT * FROM theses WHERE user_id=?').all(userId) as Array<Record<string, unknown>>;
    // For each thesis, get assessment (simplified)
    return { timeline: [], theses };
  }),
});

// ─── X/Cookie + Reddit Router (Slice 16) ────────────────────────────────────

const xRouter = router({
  // ---------------------------------------------------------------------------
  // X / BirdClaw — cashtag search, trusted timeline, combined feed.
  // Credentials are loaded from DB per-request (never hardcoded). When absent the
  // endpoint returns an empty/`configured:false` response instead of crashing.
  // ---------------------------------------------------------------------------

  // Per-symbol feed: tracked poster AND ticker must both match.
  // (1) author is in x_accounts for this symbol, (2) post mentions $TICKER or bare TICKER.
  // Global cashtag noise (random accounts) is excluded.
  feed: protectedProcedure
    .input(z.object({ symbol: z.string().min(1).max(20), limit: z.number().min(5).max(200).optional().default(50), cursor: z.string().optional() }))
    .query(async ({ ctx, input }) => {
      const creds = await loadXCredentials(ctx);
      if (!creds) return { cashtagPosts: [], accountPosts: [], configured: false as const };

      const sym = input.symbol.toUpperCase();
      const sinceMs = Date.now() - 30 * 24 * 60 * 60 * 1000;
      const handles = (ctx.db.prepare(
        'SELECT handle FROM x_accounts WHERE symbol=?',
      ).all(sym) as Array<{ handle: string }>).map((h) => h.handle.toLowerCase());

      type PostRow = {
        post_id: string; author_handle: string; cashtag: string | null; body_text: string | null;
        posted_at: string; engagement: number; sentiment_score?: number | null; attribution?: string | null;
      };

      if (handles.length === 0) {
        return {
          cashtagPosts: [],
          accountPosts: [],
          nextCursor: null,
          configured: true as const,
          health: null,
        };
      }

      // Escape for RegExp (tickers are usually alnum but keep safe).
      const esc = sym.replace(/[.*+?^${}()|[\]\\]/g, '\\$&');
      // $TICKER or bare TICKER as a token (not a substring of another word).
      const tickerRe = new RegExp(`(?:^|[^A-Za-z0-9])\\$?${esc}(?=[^A-Za-z0-9]|$)`, 'i');

      const mentionsTicker = (p: PostRow): boolean => {
        const tag = (p.cashtag ?? '').replace(/^\$/, '').toUpperCase();
        if (tag === sym) return true;
        return tickerRe.test(p.body_text ?? '');
      };
      const inWindow = (p: PostRow) => {
        const t = Date.parse(p.posted_at);
        return !Number.isFinite(t) || t >= sinceMs;
      };

      // Only posts from accounts explicitly paired with this symbol.
      let filtered = (ctx.db.prepare(
        `SELECT post_id, author_handle, cashtag, body_text, posted_at, engagement, sentiment_score, attribution
         FROM x_cookie_posts
         WHERE lower(author_handle) IN (${handles.map(() => '?').join(',')})
         ORDER BY posted_at DESC
         LIMIT 800`,
      ).all(...handles) as PostRow[]).filter((p) => inWindow(p) && mentionsTicker(p));

      filtered.sort((a, b) => Date.parse(b.posted_at) - Date.parse(a.posted_at));

      if (input.cursor) {
        const cMs = Date.parse(input.cursor);
        filtered = filtered.filter((p) => {
          const t = Date.parse(p.posted_at);
          if (Number.isFinite(cMs) && Number.isFinite(t)) return t < cMs;
          return p.posted_at < input.cursor!;
        });
      }
      const page = filtered.slice(0, input.limit);
      const nextCursor = page.length === input.limit ? page[page.length - 1].posted_at : null;

      // Background refresh: timelines for tracked handles only (cashtag search is optional ingest, not feed source).
      try {
        for (const h of handles) {
          try { ctx.queue.queue(`x:timeline:${h}`); } catch { /* ignore */ }
        }
      } catch { /* ignore */ }

      const healthRow = ctx.db.prepare('SELECT healthy, last_error, updated_at FROM x_credentials WHERE id=?').get('singleton') as { healthy?: number; last_error?: string | null } | undefined;

      return {
        cashtagPosts: page,
        accountPosts: [],
        nextCursor,
        configured: true as const,
        health: healthRow ? {
          healthy: healthRow.healthy === 1 ? ('healthy' as const) : ('degraded' as const),
          lastError: healthRow.last_error ?? null,
        } : null,
      };
    }),

  // Raw cashtag search (no per-account merge).
  cashtag_search: protectedProcedure
    .input(z.object({ symbol: z.string().min(1).max(20), limit: z.number().min(5).max(200).optional().default(20) }))
    .query(async ({ ctx, input }) => {
      const creds = await loadXCredentials(ctx);
      if (!creds) return { posts: [], configured: false as const };
      const { XCookieAdapter } = await import('../adapters/XCookieAdapter.ts');
      const adapter = new XCookieAdapter(creds, (health: XCookieHealth) => updateXHealth(ctx.db, health.sourceStatus, health.lastError ?? undefined));
      try {
        const posts = (await adapter.cashtagSearch(input.symbol, {})).value;
        return { posts, configured: true as const };
      } catch (e) {
        throw new TRPCError({ code: 'BAD_GATEWAY', message: e instanceof Error ? e.message : 'X request failed.' });
      }
    }),

  // Single trusted account timeline.
  timeline: protectedProcedure
    .input(z.object({ handle: z.string().min(1).regex(/^[a-zA-Z0-9_]+$/), limit: z.number().min(5).max(200).optional().default(20) }))
    .query(async ({ ctx, input }) => {
      const creds = await loadXCredentials(ctx);
      if (!creds) return { posts: [], configured: false as const };
      const { XCookieAdapter } = await import('../adapters/XCookieAdapter.ts');
      const adapter = new XCookieAdapter(creds, (health: XCookieHealth) => updateXHealth(ctx.db, health.sourceStatus, health.lastError ?? undefined));
      try {
        const posts = (await adapter.trustedTimeline(input.handle, {})).value;
        return { posts, configured: true as const };
      } catch (e) {
        throw new TRPCError({ code: 'BAD_GATEWAY', message: e instanceof Error ? e.message : 'X request failed.' });
      }
    }),

  // Per-symbol tracked account list.
  accountsForSymbol: protectedProcedure
    .input(z.object({ symbol: z.string().min(1).max(20) }))
    .query(({ ctx, input }) => {
      const rows = ctx.db.prepare('SELECT id, handle, COALESCE(label, \'\' ) AS label FROM x_accounts WHERE symbol=? ORDER BY handle').all(input.symbol.toUpperCase()) as Array<{id: string; handle: string; label: string}>;
      return (rows ?? []);
    }),

});

const redditRouter = router({
  subreddit: protectedProcedure
    .input(z.object({ subreddit: z.string(), limit: z.number().min(1).max(100).optional().default(25) }))
    .query(async ({ ctx, input }) => {
      const { RedditAdapter } = await import('../adapters/RedditAdapter.ts');
      const adapter = new RedditAdapter();
      try {
        const result = await adapter.subredditPosts(input.subreddit, undefined, {});
        return { posts: result.value, isStale: false };
      } catch (e) {
        throw new TRPCError({ code: 'NOT_FOUND', message: (e as Error).message });
      }
    }),

  search: protectedProcedure
    .input(z.object({ q: z.string(), limit: z.number().min(1).max(100).optional().default(25) }))
    .query(async ({ ctx, input }) => {
      const { RedditAdapter } = await import('../adapters/RedditAdapter.ts');
      const adapter = new RedditAdapter();
      try {
        const result = await adapter.searchPosts(input.q, {});
        return { posts: result.value, isStale: false };
      } catch (e) {
        throw new TRPCError({ code: 'NOT_FOUND', message: (e as Error).message });
      }
    }),

});


// Slice 8 — Institutional Dashboard Rollup (read-only, no trade actions).


// ─── Sizing Router (P0: wire-sizing-risk-trpc-m20) ────────────────────────────
// Pure SizingEngine behind tRPC. Outputs math + plain-English layers only (ADR-0007).

const sizingRouter = router({
  compute: protectedProcedure
    .input(z.object({
      symbol: z.string().min(1).max(20),
      tier: z.enum(['A_STAR', 'A', 'B', 'C']),
      riskFraction: z.number().positive().max(0.25),
      stopPerShare: z.number().positive(),
      equity: z.number().positive(),
      complexity: z.enum(['beginner', 'intermediate', 'advanced']).optional(),
      regime: z.enum(['trending-up', 'trending-down', 'range-bound']).default('range-bound'),
      aStarUnlocked: z.boolean().optional(),
      macroOverrideReason: z.string().min(3).max(500).optional(),
      holdings: z.array(z.object({
        symbol: z.string(),
        shares: z.number(),
        avgCost: z.number(),
        cluster: z.string().default('uncategorized'),
      })).optional(),
      clusterCaps: z.record(z.string(), z.number()).nullable().optional(),
    }))
    .query(async ({ ctx, input }) => {
      const { sizePosition } = await import('../sizing/SizingEngine.ts');
      const userId = ctx.userId as string;
      const user = ctx.db.prepare(
        'SELECT complexity FROM users WHERE id=?',
      ).get(userId) as { complexity: string } | undefined;
      const complexity = (input.complexity ?? user?.complexity ?? 'beginner') as
        'beginner' | 'intermediate' | 'advanced';

      // Prefer live portfolio when client did not pass holdings.
      let holdings = input.holdings ?? [];
      if (!input.holdings) {
        const { listHoldings } = await import('../db/portfolioRepository.ts');
        holdings = listHoldings(ctx.db, userId).map((h) => ({
          symbol: h.symbol,
          shares: h.shares,
          avgCost: h.avg_cost,
          cluster: 'uncategorized',
        }));
      }

      const equity = input.equity;
      const defaultCap = complexity === 'beginner' ? equity * 0.25
        : complexity === 'intermediate' ? equity * 0.40
        : null;
      const clusterCaps = input.clusterCaps !== undefined
        ? input.clusterCaps
        : (defaultCap !== null ? { uncategorized: defaultCap } : null);

      const unlockRow = ctx.db.prepare(
        "SELECT 1 AS ok FROM sizing_unlocks WHERE user_id=? AND unlock='tier_a_star' LIMIT 1",
      ).get(userId) as { ok: number } | undefined;
      const aStarUnlocked = input.aStarUnlocked ?? !!unlockRow;

      // Gentle-halt: when active, risk fraction is educational-only but we still
      // surface the halt flag so the UI can teach the circuit breaker.
      const { isHalted } = await import('../risk/haltCircuitBreaker.ts');
      const halted = isHalted(ctx.db, userId);

      const result = sizePosition(
        {
          symbol: input.symbol.toUpperCase(),
          tier: input.tier,
          riskFraction: halted ? Math.min(input.riskFraction, 0.005) : input.riskFraction,
          stopPerShare: input.stopPerShare,
        },
        { equity, complexity },
        {
          holdings,
          regime: input.regime,
          clusterCaps,
          aStarUnlocked,
        },
        {
          aStarUnlocked,
          macroOverride: input.macroOverrideReason
            ? { reason: input.macroOverrideReason }
            : null,
        },
      );

      return {
        ...result,
        halted,
        footer: 'Educational observation only.',
      };
    }),
});

// ─── Risk Posture Router ────────────────────────────────────────────────────

const riskRouter = router({
  /** Simplified risk posture: holdings, drawdown vs tolerance, basic metrics. */
  posture: protectedProcedure
    .input(z.object({
      equity: z.number().positive(),
      peakEquity: z.number().positive().optional(),
      drawdownTolerancePct: z.number().positive().max(100).optional(),
      regime: z.enum(['trending-up', 'trending-down', 'range-bound']).optional(),
      plans: z.array(z.object({
        symbol: z.string(),
        stopPrice: z.number().optional(),
        rewardTarget: z.number().optional(),
        cluster: z.string().optional(),
      })).optional(),
    }))
    .query(async ({ ctx, input }) => {
      const { assessRisk, ADR_0007_FOOTER } = await import('../risk/RiskEngine.ts');
      const { listHoldings } = await import('../db/portfolioRepository.ts');
      const { listOptionLegs } = await import('../db/portfolioOptionRepository.ts');
      const {
        assessOptionRiskContribution,
        mergeOptionCapitalIntoClusters,
      } = await import('../risk/optionRiskContribution.ts');
      const userId = ctx.userId as string;

      const user = ctx.db.prepare(
        'SELECT complexity, drawdown_tolerance FROM users WHERE id=?',
      ).get(userId) as { complexity: string; drawdown_tolerance: number | null } | undefined;

      const complexity = (user?.complexity ?? 'beginner') as
        'beginner' | 'intermediate' | 'advanced';
      const drawdownTolerancePct = input.drawdownTolerancePct
        ?? (typeof user?.drawdown_tolerance === 'number'
          ? Math.abs(user.drawdown_tolerance)
          : 20);

      const planBySymbol = new Map(
        (input.plans ?? []).map((p) => [p.symbol.toUpperCase(), p]),
      );

      const holdings = listHoldings(ctx.db, userId);
      const optionLegs = listOptionLegs(ctx.db, userId);
      const portfolio = holdings.map((h) => {
        const plan = planBySymbol.get(h.symbol.toUpperCase());
        return {
          symbol: h.symbol,
          shares: h.shares,
          avgCost: h.avg_cost,
          cluster: plan?.cluster ?? 'uncategorized',
          stopPrice: plan?.stopPrice,
          rewardTarget: plan?.rewardTarget,
        };
      });

      const equity = input.equity;
      const peakEquity = input.peakEquity ?? equity;
      const defaultCap = complexity === 'beginner' ? equity * 0.25
        : complexity === 'intermediate' ? equity * 0.40
        : null;
      const clusterCaps = defaultCap !== null ? { uncategorized: defaultCap } as Record<string, number> : null;

      const optionRisk = assessOptionRiskContribution(
        optionLegs,
        holdings.map((h) => ({ symbol: h.symbol, shares: h.shares })),
        equity,
      );

      const posture = assessRisk({
        portfolio,
        account: { equity, drawdownTolerancePct, complexity },
        peakEquity,
        regime: input.regime,
        sizingContext: { clusterCaps },
      });

      const foldUncategorized = complexity === 'beginner';
      const clusterExposure = mergeOptionCapitalIntoClusters(
        posture.clusterExposure,
        optionRisk.capitalByUnderlying,
        foldUncategorized,
      );
      const equityExposureUsd = portfolio.reduce((s, p) => s + p.shares * p.avgCost, 0);
      const totalExposureUsd = equityExposureUsd + optionRisk.capitalCommittedUsd;
      const recommendedActions = [
        ...posture.recommendedActions,
        ...optionRisk.recommendations,
      ];

      return {
        ...posture,
        clusterExposure,
        recommendedActions,
        halted: false,
        halt: null,
        holdingsCount: holdings.length,
        optionLegsCount: optionRisk.legsCount,
        totalExposureUsd,
        optionRisk: {
          premiumAtRiskUsd: optionRisk.premiumAtRiskUsd,
          cashReservedUsd: optionRisk.cashReservedUsd,
          creditReceivedUsd: optionRisk.creditReceivedUsd,
          capitalCommittedUsd: optionRisk.capitalCommittedUsd,
          uncoveredShortCallCount: optionRisk.uncoveredShortCallCount,
        },
        footer: ADR_0007_FOOTER,
      };
    }),
});

// ─── Emotion Logger Router (Slice: emotion-logger-storage) ──────────────────────
// Emotion Logger Router (Slice: emotion-logger-storage)
// ---------------------------------------------------------------------------

const emotionLoggerRouter = router({
  /** Add an emotion log entry for a trade execution. */
  add: protectedProcedure
    .input(z.object({
      tradeExecutionId: z.string(),
      priceAtEvent: z.number().optional(),
      emotion: z.string(),
      note: z.string().optional(),
    }))
    .mutation(async ({ ctx, input }) => {
      const { addEmotionLog } = await import('../db/emotionLogRepository.ts');
      try {
        const log = addEmotionLog(ctx.db, {
          tradeExecutionId: input.tradeExecutionId,
          priceAtEvent: input.priceAtEvent,
          emotion: input.emotion,
          note: input.note,
        });
        return { success: true, log };
      } catch (e) {
        throw new TRPCError({ code: 'INTERNAL_SERVER_ERROR', message: (e as Error).message });
      }
    }),

  /** Get all emotion logs for a trade execution. */
  getByTrade: protectedProcedure
    .input(z.object({ tradeExecutionId: z.string() }))
    .query(async ({ ctx, input }) => {
      const { getEmotionLogsByTrade } = await import('../db/emotionLogRepository.ts');
      try {
        const logs = getEmotionLogsByTrade(ctx.db, input.tradeExecutionId);
        return { logs };
      } catch (e) {
        throw new TRPCError({ code: 'INTERNAL_SERVER_ERROR', message: (e as Error).message });
      }
    }),

  /** Delete an emotion log by id. */
  delete: protectedProcedure
    .input(z.object({ id: z.string() }))
    .mutation(async ({ ctx, input }) => {
      const { deleteEmotionLog } = await import('../db/emotionLogRepository.ts');
      try {
        deleteEmotionLog(ctx.db, input.id);
        return { success: true };
      } catch (e) {
        throw new TRPCError({ code: 'INTERNAL_SERVER_ERROR', message: (e as Error).message });
      }
    }),
});

// ─── Trades Router (Phase 5) ─────────────────────────────────────────────

const tradesRouter = router({
  list: protectedProcedure.query(async ({ ctx }) => {
    return ctx.db.prepare('SELECT * FROM trades WHERE owner_id=? ORDER BY date DESC').all(ctx.userId as string);
  }),

  get: protectedProcedure
    .input(z.object({ id: z.string() }))
    .query(async ({ ctx, input }) => {
      const row = ctx.db.prepare('SELECT * FROM trades WHERE id=? AND owner_id=?').get(input.id, ctx.userId as string);
      if (!row) throw new TRPCError({ code: 'NOT_FOUND', message: 'Trade not found.' });
      return row;
    }),

  save: protectedProcedure
    .input(z.object({
      id: z.string(),
      symbol: z.string(),
      date: z.string(),
      status: z.string(),
      environment: z.string().optional(),
      tier: z.string(),
      strategyId: z.string().optional(),
      confluenceScore: z.number().optional(),
      riskPct: z.number().optional(),
      positionSize: z.number().optional(),
      entryPrice: z.number().optional(),
      stopLoss: z.number().optional(),
      targets: z.string().optional(),
      justifications: z.string().optional(),
      checklistCompleted: z.number().optional(),
      allocationPlanId: z.string().optional(),
      allocationRole: z.string().optional(),
      tradeId: z.string().optional(),
    }))
    .mutation(async ({ ctx, input }) => {
      const userId = ctx.userId as string;
      const tradeKey = input.tradeId ?? input.id;
      const existing = ctx.db.prepare('SELECT id FROM trades WHERE id=? AND owner_id=?').get(input.id, userId) as Record<string, unknown> | undefined;
      if (existing) {
        ctx.db.prepare(`
          UPDATE trades SET symbol=?,date=?,status=?,environment=?,tier=?,strategy_id=?,
          confluence_score=?,risk_pct=?,position_size=?,entry_price=?,stop_loss=?,
          targets=?,justifications=?,checklist_completed=?,allocation_plan_id=?,allocation_role=?,trade_id=?
          WHERE id=? AND owner_id=?
        `).run(
          input.symbol.toUpperCase(), input.date, input.status, input.environment ?? null, input.tier,
          input.strategyId ?? null, input.confluenceScore ?? null, input.riskPct ?? null,
          input.positionSize ?? null, input.entryPrice ?? null, input.stopLoss ?? null,
          input.targets ?? '[]', input.justifications ?? '{}', input.checklistCompleted ?? 0,
          input.allocationPlanId ?? null, input.allocationRole ?? null, tradeKey, input.id, userId
        );
      } else {
        ctx.db.prepare(`
          INSERT INTO trades (id,owner_id,trade_id,symbol,date,status,environment,tier,strategy_id,
          confluence_score,risk_pct,position_size,entry_price,stop_loss,targets,justifications,checklist_completed,allocation_plan_id,allocation_role)
          VALUES (?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?)
        `).run(
          input.id, userId, tradeKey, input.symbol.toUpperCase(), input.date, input.status, input.environment ?? null,
          input.tier, input.strategyId ?? null, input.confluenceScore ?? null, input.riskPct ?? null,
          input.positionSize ?? null, input.entryPrice ?? null, input.stopLoss ?? null,
          input.targets ?? '[]', input.justifications ?? '{}', input.checklistCompleted ?? 0,
          input.allocationPlanId ?? null, input.allocationRole ?? null
        );
      }
      return { ok: true, id: input.id };
    }),

  close: protectedProcedure
    .input(z.object({
      id: z.string(),
      realizedPnl: z.number(),
      reflection: z.string().optional(),
    }))
    .mutation(async ({ ctx, input }) => {
      const userId = ctx.userId as string;
      const row = ctx.db.prepare('SELECT justifications FROM trades WHERE id=? AND owner_id=?').get(input.id, userId) as { justifications: string | null } | undefined;
      if (!row) throw new TRPCError({ code: 'NOT_FOUND', message: 'Trade not found.' });
      let just: Record<string, unknown> = {};
      try { just = JSON.parse(row.justifications || '{}'); } catch { /* ignore */ }
      if (input.reflection?.trim()) just.closeReflection = input.reflection.trim();
      ctx.db.prepare('UPDATE trades SET status=?, realized_pnl=?, justifications=? WHERE id=? AND owner_id=?')
        .run('closed', input.realizedPnl, JSON.stringify(just), input.id, userId);
      return { ok: true };
    }),

  stats: protectedProcedure.query(async ({ ctx }) => {
    const userId = ctx.userId as string;
    const closed = ctx.db.prepare('SELECT COUNT(*) c FROM trades WHERE owner_id=? AND status=?').get(userId, 'closed') as { c: number } | undefined;
    const profitable = ctx.db.prepare('SELECT COUNT(*) c FROM trades WHERE owner_id=? AND status=? AND realized_pnl>0').get(userId, 'closed') as { c: number } | undefined;
    return { totalClosed: closed?.c ?? 0, profitable: profitable?.c ?? 0 };
  }),
});

const thesesRouter = router({
  list: protectedProcedure.query(({ ctx }) => {
    return ctx.db.prepare(
      'SELECT * FROM theses WHERE user_id=? ORDER BY updated_at DESC',
    ).all(ctx.userId as string);
  }),

  get: protectedProcedure
    .input(z.object({ id: z.string() }))
    .query(({ ctx, input }) => {
      const row = ctx.db.prepare('SELECT * FROM theses WHERE id=? AND user_id=?').get(input.id, ctx.userId as string);
      if (!row) throw new TRPCError({ code: 'NOT_FOUND', message: 'Thesis not found.' });
      return row;
    }),

  create: protectedProcedure
    .input(z.object({
      symbol: z.string().min(1),
      statement: z.string().min(1),
      invalidationCriteria: z.array(z.string()).default([]),
      status: z.enum(['intact', 'weakening', 'broken']).default('intact'),
    }))
    .mutation(({ ctx, input }) => {
      const id = randomUUID();
      const now = new Date().toISOString();
      ctx.db.prepare(
        `INSERT INTO theses (id, user_id, symbol, statement, invalidation_criteria, status, created_at, updated_at)
         VALUES (?,?,?,?,?,?,?,?)`,
      ).run(
        id,
        ctx.userId as string,
        input.symbol.toUpperCase(),
        input.statement,
        JSON.stringify(input.invalidationCriteria),
        input.status,
        now,
        now,
      );
      return { id, symbol: input.symbol.toUpperCase() };
    }),

  update: protectedProcedure
    .input(z.object({
      id: z.string(),
      statement: z.string().min(1).optional(),
      invalidationCriteria: z.array(z.string()).optional(),
      status: z.enum(['intact', 'weakening', 'broken']).optional(),
    }))
    .mutation(({ ctx, input }) => {
      const userId = ctx.userId as string;
      const row = ctx.db.prepare('SELECT * FROM theses WHERE id=? AND user_id=?').get(input.id, userId) as {
        statement: string;
        invalidation_criteria: string;
        status: string;
      } | undefined;
      if (!row) throw new TRPCError({ code: 'NOT_FOUND', message: 'Thesis not found.' });
      const statement = input.statement ?? row.statement;
      const criteria = input.invalidationCriteria
        ? JSON.stringify(input.invalidationCriteria)
        : row.invalidation_criteria;
      const status = input.status ?? row.status;
      ctx.db.prepare(
        'UPDATE theses SET statement=?, invalidation_criteria=?, status=?, updated_at=? WHERE id=? AND user_id=?',
      ).run(statement, criteria, status, new Date().toISOString(), input.id, userId);
      return { ok: true };
    }),

  delete: protectedProcedure
    .input(z.object({ id: z.string() }))
    .mutation(({ ctx, input }) => {
      const info = ctx.db.prepare('DELETE FROM theses WHERE id=? AND user_id=?').run(input.id, ctx.userId as string);
      if (info.changes === 0) throw new TRPCError({ code: 'NOT_FOUND', message: 'Thesis not found.' });
      return { ok: true };
    }),
});

// ─── Fund Router (M21 Mirror Portfolio) ─────────────────────────────────────

const symbolsRouter = router({
  /** Autocomplete search over the symbol index (M22). Local-first (ADR-0009). */
  search: publicProcedure
    .input(z.object({
      q: z.string().trim().min(1).max(60),
      limit: z.number().int().min(1).max(20).optional(),
    }))
    .query(async ({ ctx, input }) => {
      const limit = input.limit ?? 10;
      const q = input.q.toUpperCase();
      const db = ctx.db;

      // Prefix match on symbol first (exact > prefix, shortest first), then name contains.
      const rows = db.prepare(
        `SELECT symbol, name, sector, industry, exchange, ticker_kind, cik,
               CASE WHEN symbol = ? THEN 0 ELSE 1 END AS rank
         FROM symbols
         WHERE symbol = ? OR symbol LIKE ?
         ORDER BY rank ASC, LENGTH(symbol) ASC, symbol ASC
         LIMIT ?`,
      ).all(q, q, `${q}%`, limit) as Array<Record<string, any>>;

      let results = rows.map((r) => ({
        symbol: r.symbol,
        name: r.name ?? null,
        sector: r.sector ?? null,
        industry: r.industry ?? null,
        exchange: r.exchange ?? null,
        ticker_kind: r.ticker_kind,
        cik: r.cik ?? null,
      }));

      if (results.length < limit) {
        const seen = new Set(results.map((r) => r.symbol));
        const nameRows = db.prepare(
          `SELECT symbol, name, sector, industry, exchange, ticker_kind, cik
           FROM symbols
           WHERE name IS NOT NULL AND name != '' AND name LIKE ?
           ORDER BY LENGTH(name) ASC
           LIMIT ?`,
        ).all(`%${input.q}%`, limit) as Array<Record<string, any>>;
        const fresh = nameRows
          .filter((r) => !seen.has(r.symbol as string))
          .map((r) => ({
            symbol: r.symbol,
            name: r.name ?? null,
            sector: r.sector ?? null,
            industry: r.industry ?? null,
            exchange: r.exchange ?? null,
            ticker_kind: r.ticker_kind,
            cik: r.cik ?? null,
          }));
        results = [...results, ...fresh.slice(0, limit - results.length)];
      }

      return { q: input.q, results };
    }),

  /** Two-tier fund-holdings strip for a symbol (M22): tracked funds w/ weight, then institution count. */
  holders: publicProcedure
    .input(z.object({ symbol: z.string().trim().toUpperCase().min(1).max(20) }))
    .query(async ({ ctx, input }) => {
      const db = ctx.db;
      const symbol = input.symbol;

      // Tier 1 — tracked funds holding the symbol (most recent record per fund), with weight in their disclosed book.
      const trackedRows = db.prepare(
        `SELECT tf.id AS fund_id, tf.fund_name, fpr.symbol, fpr.shares, fpr.value_usd, fpr.as_of, fpr.source
         FROM fund_position_records fpr
         JOIN tracked_funds tf ON tf.id = fpr.fund_id AND tf.enabled = 1
         JOIN (
           SELECT fund_id, MAX(as_of) AS max_as_of
           FROM fund_position_records
           WHERE symbol = ?
           GROUP BY fund_id
         ) latest ON latest.fund_id = fpr.fund_id AND latest.max_as_of = fpr.as_of
         WHERE fpr.symbol = ?
         ORDER BY tf.fund_name ASC`,
      ).all(symbol, symbol) as Array<Record<string, any>>;

      // Weight = position value / total disclosed book value at the fund's live book (per fund).
      const fundIds = [...new Set(trackedRows.map((r) => r.fund_id as string))];
      const bookValueByFund = new Map<string, number>();
      for (const fid of fundIds) {
        const { liveBook } = await import('../db/fundRepository.ts');
        const book = liveBook(db, fid);
        const total = book.reduce((s, p) => s + (p.value_usd ?? 0), 0);
        bookValueByFund.set(fid, total > 0 ? total : 0);
      }

      const tracked = trackedRows.map((r) => ({
        fundId: r.fund_id,
        fundName: r.fund_name,
        shares: r.shares ?? null,
        valueUsd: r.value_usd ?? null,
        asOf: r.as_of,
        source: r.source,
        weightPct: bookValueByFund.get(r.fund_id)
          ? ((r.value_usd ?? 0) / bookValueByFund.get(r.fund_id)!) * 100
          : null,
      }));

      // Tier 2 — how many distinct 13F filers reported holding the symbol.
      const instRow = db.prepare(
        `SELECT COUNT(DISTINCT filer_cik) AS n FROM institution_filings WHERE symbol = ?`,
      ).get(symbol) as { n: number } | undefined;

      return {
        symbol,
        tracked,
        institutionCount: instRow?.n ?? 0,
      };
    }),
});

const fundsRouter = router({
  /** List operator-curated tracked funds (v1: Alpine Fox). */
  list: publicProcedure
    .query(async ({ ctx }) => {
      const { listTrackedFunds } = await import('../db/fundRepository.ts');
      return listTrackedFunds(ctx.db, { includeDisabled: true });
    }),

  /** Get a single tracked fund by id. */
  get: publicProcedure
    .input(z.object({ id: z.string().min(1) }))
    .query(async ({ ctx, input }) => {
      const { getTrackedFund } = await import('../db/fundRepository.ts');
      return getTrackedFund(ctx.db, input.id);
    }),

  /** Live Book for a fund — most recent record per symbol, source-labeled. */
  liveBook: publicProcedure
    .input(z.object({ fundId: z.string().min(1) }))
    .query(async ({ ctx, input }) => {
      const { liveBook } = await import('../db/fundRepository.ts');
      return liveBook(ctx.db, input.fundId);
    }),

  /** Full append-only position timeline for a fund. */
  records: publicProcedure
    .input(z.object({ fundId: z.string().min(1) }))
    .query(async ({ ctx, input }) => {
      const { listRecords } = await import('../db/fundRepository.ts');
      return listRecords(ctx.db, input.fundId);
    }),

  /** Admin CRUD — operator-curated registry. */
  adminCreate: adminProcedure
    .input(z.object({
      ci_key: z.string().min(1),
      fund_name: z.string().min(1),
      manager_name: z.string().min(1),
      x_handle: z.string().optional(),
      paywall_status: z.enum(['unknown', 'open', 'paywalled']).optional(),
      enabled: z.boolean().optional(),
    }))
    .mutation(async ({ ctx, input }) => {
      const { upsertTrackedFund } = await import('../db/fundRepository.ts');
      return upsertTrackedFund(ctx.db, input);
    }),

  adminSetEnabled: adminProcedure
    .input(z.object({ id: z.string().min(1), enabled: z.boolean() }))
    .mutation(async ({ ctx, input }) => {
      const { setFundEnabled } = await import('../db/fundRepository.ts');
      return { updated: setFundEnabled(ctx.db, input.id, input.enabled) };
    }),

  adminDelete: adminProcedure
    .input(z.object({ id: z.string().min(1) }))
    .mutation(async ({ ctx, input }) => {
      const { deleteTrackedFund } = await import('../db/fundRepository.ts');
      return { deleted: deleteTrackedFund(ctx.db, input.id) };
    }),
  /** Fetch the fund's full 13F history + refresh Live-Book records. */
  adminSync13f: protectedProcedure
    .input(z.object({ fundId: z.string().min(1) }))
    .mutation(async ({ ctx, input }) => {
      const { fetchFund13F } = await import('../mirror/fund13fFetcher.ts');
      return fetchFund13F(ctx.db, input.fundId);
    }),

  /** Materialize position captures from the fund manager's X posts (M21). */
  adminIngestCaptures: protectedProcedure
    .input(z.object({ fundId: z.string().min(1) }))
    .mutation(async ({ ctx, input }) => {
      const { ingestFundCaptures } = await import('../services/captureIngest.ts');
      return ingestFundCaptures(ctx.db, input.fundId);
    }),
});

// ─── Mirror Router (M21) — math, not advice ────────────────────────────────

const mirrorRouter = router({
  /**
   * Mirror diff: target vs the user's actual book. Pure engine output; all
   * strings are mechanical (ADR-0010). Base defaults to live portfolio equity.
   */
  diff: protectedProcedure
    .input(z.object({
      fundId: z.string().min(1),
      base: z.number().positive().optional(), // if omitted, use live equity
      locked: z.boolean().optional(),
      minPositionUsd: z.number().optional(),
      minWeightPct: z.number().optional(),
      tickSize: z.number().optional(),
    }))
    .query(async ({ ctx, input }) => {
      const userId = ctx.userId ?? 'anonymous';
      const { liveBook } = await import('../db/fundRepository.ts');
      const { listHoldings } = await import('../db/portfolioRepository.ts');
      const { mirrorBook } = await import('../mirror/mirrorEngine.ts');

      const book = liveBook(ctx.db, input.fundId);
      const holdings = listHoldings(ctx.db, userId);
      const symbols = Array.from(new Set([...book.map((p) => p.symbol), ...holdings.map((h) => h.symbol)]));
      const entries = await ctx.cache.getMany<unknown>(symbols.map((s) => `yfinance:quote:${s}`));
      const prices: Record<string, number | undefined> = {};
      symbols.forEach((s, i) => {
        const q = (entries[i]?.value ?? null) as { regularMarketPrice?: number; price?: number } | null;
        prices[s] = q?.regularMarketPrice ?? q?.price;
      });

      // Actual portfolio equity (sum of market value) for re-baseline default.
      let equity = 0;
      for (const h of holdings) {
        const px = prices[h.symbol];
        if (typeof px === 'number') equity += px * h.qty;
      }
      const base = input.base ?? (equity > 0 ? equity : 200_000);

      return mirrorBook(
        book,
        holdings.map((h) => ({ symbol: h.symbol, qty: h.shares, avg_cost: h.avg_cost })),
        prices,
        {
          base,
          locked: input.locked ?? false,
          minPositionUsd: input.minPositionUsd,
          minWeightPct: input.minWeightPct,
          tickSize: input.tickSize,
        },
      );
    }),
});

// ─── Confluence Signal Engine (M22) ─────────────────────────────────────────

const confluenceRouter = router({
  /** The read-only 34-slot catalog, grouped by family, with slot metadata. */
  slots: publicProcedure.query(async () => {
    return {
      slots: CONFLUENCE_SLOTS.map((s) => ({
        id: s.id,
        name: s.name,
        family: s.family,
        body: s.body,
        granularity: s.granularity,
        explain: s.explain,
      })),
      slotIds: CONFLUENCE_SLOT_IDS,
      families: ['technical', 'institutional', 'macro', 'seasonal', 'flows', 'sentiment'] as SlotFamily[],
    };
  }),

  /** List rack definitions (system + the calling user's own). */
  racks: publicProcedure.query(({ ctx }) => {
    const repo = new ConfluenceRepository(ctx.db);
    const system = repo.listSystemRacks();
    const user = ctx.userId ? repo.listUserRacks(ctx.userId) : [];
    return { system, user };
  }),

  /** Latest evaluation for a symbol+rack, with the picture + change hint. */
  evaluation: publicProcedure
    .input(z.object({
      symbol: z.string().min(1).max(12),
      rackId: z.string().min(1).optional(),
      limit: z.number().int().min(1).max(60).optional(),
    }))
    .query(({ ctx, input }) => {
      const repo = new ConfluenceRepository(ctx.db);
      const symbol = input.symbol.toUpperCase();
      const evals = repo.listEvaluationsForSymbol(symbol);
      const rackId = input.rackId ?? (repo.listSystemRacks()[0]?.id ?? null);
      const forRack = rackId ? evals.filter((e) => e.rackId === rackId) : evals;
      const latest = forRack.length > 0 ? forRack[0] : null;

      let change = null;
      if (forRack.length >= 2) {
        const prev = forRack[1];
        change = detectPictureChange(
          { symbol, asOf: prev.asOf, assessments: prev.assessments, bullEvidence: prev.bullEvidence, bearEvidence: prev.bearEvidence, bullCount: prev.bullCount, bearCount: prev.bearCount, assessedCount: prev.assessedCount, netEvidence: prev.netEvidence, totalEvidence: prev.totalEvidence, quality: prev.quality },
          { symbol, asOf: latest!.asOf, assessments: latest!.assessments, bullEvidence: latest!.bullEvidence, bearEvidence: latest!.bearEvidence, bullCount: latest!.bullCount, bearCount: latest!.bearCount, assessedCount: latest!.assessedCount, netEvidence: latest!.netEvidence, totalEvidence: latest!.totalEvidence, quality: latest!.quality },
        );
      }

      return {
        rackId,
        symbol,
        latest,
        history: forRack.slice(0, input.limit ?? 10),
        change,
      };
    }),

  /** Run the slot backtest for a symbol from cached daily candles. */
  backtest: publicProcedure
    .input(z.object({
      symbol: z.string().min(1).max(12),
      weeks: z.number().int().min(2).max(12).optional(),
    }))
    .query(async ({ ctx, input }) => {
      const repo = new ConfluenceRepository(ctx.db);
      const symbol = input.symbol.toUpperCase();
      const entry = await ctx.cache.get<PriceCandle[]>(`yfinance:candles:${symbol}:1d`);
      const candles = (entry?.value ?? []) as PriceCandle[];

      // Historic fire events come from signal history rows (as-of was the fire date).
      const signals = repo.listSignalsForSymbol(symbol);
      const fires: ConfluenceFireEvent[] = signals.map((s) => ({ symbol, asOf: s.firedAt, slotId: s.slotId }));
      return runSlotBacktest(symbol, candles, fires, input.weeks ?? 4);
    }),

  /** Per-slot reliability scorecard from resolved signal history. */
  scorecard: publicProcedure
    .input(z.object({ symbol: z.string().min(1).max(12).optional() }))
    .query(({ ctx, input }) => {
      const symbol = input?.symbol?.toUpperCase();
      const stats = signalHistoryToStats(ctx.db, symbol);
      return {
        slots: stats,
        // Row semantics: clear, evidence-based.
        note: 'Follow-through is measured over the standard 4-week horizon. Reliability is context, not a promise.',
      };
    }),

  /** Create or update a user-owned rack. */
  saveRack: protectedProcedure
    .input(z.object({
      id: z.string().min(1).max(80).optional(),
      name: z.string().min(1).max(80),
      description: z.string().max(300).optional(),
      slotIds: z.array(z.string()).min(1).max(34),
    }))
    .mutation(({ ctx, input }) => {
      const repo = new ConfluenceRepository(ctx.db);
      const userId = ctx.userId!;
      // Validate slot ids against the catalog.
      for (const id of input.slotIds) {
        if (!CONFLUENCE_SLOT_IDS.includes(id)) throw new TRPCError({ code: 'BAD_REQUEST', message: `Unknown slot id: ${id}` });
      }
      let rack = repo.getRack(input.id ?? '');
      if (rack && rack.ownerId !== userId) throw new TRPCError({ code: 'FORBIDDEN', message: 'Not your rack.' });
      if (rack) {
        repo.updateRackSlots(rack.id, input.slotIds, input.name, input.description ?? null);
        rack = repo.getRack(rack.id)!;
      } else {
        rack = rackFromSlots(input.id ?? `${userId}-${Date.now()}`, input.name, input.slotIds, {
          ownerId: userId, description: input.description ?? null,
        });
        repo.saveRack(rack);
      }
      return rack;
    }),
});

export const appRouter = router({
  auth: authRouter, onboarding: onboardingRouter, market: marketRouter, dashboard: dashboardRouter,
  admin: adminRouter, alerts: alertsRouter, edgar: edgarRouter, institutional: institutionalRouter,
  watchlists: watchlistRouter, portfolio: portfolioRouter, options: optionsRouter, dealerMap: dealerMapRouter, dealerStudy: dealerStudyRouter, mentorLedger: mentorLedgerRouter, userLlm: userLlmRouter, reports: reportsRouter,
  screener: screenerRouter, strategies: strategyRouter, backtest: backtestRouter,
  sectorCrosslink: sectorCrosslinkRouter,
  derisking: deriskingRouter, macro: macroRouter, thesisMonitor: thesisMonitorRouter,
  x: xRouter, reddit: redditRouter, emotionLogger: emotionLoggerRouter,
  sizing: sizingRouter, risk: riskRouter, trades: tradesRouter, theses: thesesRouter,
  funds: fundsRouter,
  mirror: mirrorRouter,
  symbols: symbolsRouter,
  confluence: confluenceRouter,
});
export type AppRouter = typeof appRouter;