src/lib/db/compressionAnalytics.ts

import { getDbInstance } from "./core";

export interface CompressionAnalyticsRow {
  id?: number;
  timestamp: string;
  combo_id?: string | null;
  compression_combo_id?: string | null;
  engine?: string | null;
  provider?: string | null;
  mode: string;
  original_tokens: number;
  compressed_tokens: number;
  tokens_saved: number;
  duration_ms?: number | null;
  request_id?: string | null;
  actual_prompt_tokens?: number | null;
  actual_completion_tokens?: number | null;
  actual_total_tokens?: number | null;
  actual_cache_read_tokens?: number | null;
  actual_cache_write_tokens?: number | null;
  estimated_usd_saved?: number | null;
  mcp_description_tokens_saved?: number | null;
  multimodal_skip_count?: number | null;
  receipt_source?: string | null;
  validation_fallback?: boolean | number | null;
  output_mode?: string | null;
  rtk_raw_output_pointer?: string | null;
  rtk_raw_output_bytes?: number | null;
  rtk_raw_output_pointers?: string | null;
  rtk_raw_output_total_bytes?: number | null;
}

/**
 * One row per engine that ran inside a stacked compression pipeline. A stacked
 * request writes a single aggregate `compression_analytics` row (engine = mode) plus
 * N of these — so per-engine savings are queryable historically, not just live.
 */
export interface CompressionEngineBreakdownRow {
  timestamp: string;
  request_id?: string | null;
  engine: string;
  original_tokens: number;
  compressed_tokens: number;
  tokens_saved: number;
  duration_ms?: number | null;
}

export interface CompressionAnalyticsSummary {
  totalRequests: number;
  totalTokensSaved: number;
  avgSavingsPct: number;
  avgDurationMs: number;
  byMode: Record<string, { count: number; tokensSaved: number; avgSavingsPct: number }>;
  byEngine: Record<string, { count: number; tokensSaved: number; avgSavingsPct: number }>;
  byCompressionCombo: Record<string, { count: number; tokensSaved: number }>;
  byProvider: Record<string, { count: number; tokensSaved: number }>;
  last24h: Array<{ hour: string; count: number; tokensSaved: number }>;
  validationFallbacks: number;
  realUsage: {
    requestsWithReceipts: number;
    promptTokens: number;
    completionTokens: number;
    totalTokens: number;
    cacheReadTokens: number;
    cacheWriteTokens: number;
    estimatedUsdSaved: number;
    bySource: Record<string, number>;
  };
  mcpDescriptionCompression: {
    snapshots: number;
    estimatedTokensSaved: number;
  };
}

let columnsEnsuredForDb: unknown = null;

const COMPRESSION_ANALYTICS_COLUMNS = [
  ["actual_prompt_tokens", "INTEGER"],
  ["actual_completion_tokens", "INTEGER"],
  ["actual_total_tokens", "INTEGER"],
  ["actual_cache_read_tokens", "INTEGER"],
  ["actual_cache_write_tokens", "INTEGER"],
  ["estimated_usd_saved", "REAL"],
  ["mcp_description_tokens_saved", "INTEGER DEFAULT 0"],
  ["multimodal_skip_count", "INTEGER DEFAULT 0"],
  ["receipt_source", "TEXT"],
  ["validation_fallback", "INTEGER DEFAULT 0"],
  ["output_mode", "TEXT"],
  ["compression_combo_id", "TEXT"],
  ["engine", "TEXT"],
  ["rtk_raw_output_pointer", "TEXT"],
  ["rtk_raw_output_bytes", "INTEGER"],
  ["rtk_raw_output_pointers", "TEXT"],
  ["rtk_raw_output_total_bytes", "INTEGER"],
] as const;

function ensureCompressionAnalyticsColumns(): void {
  const db = getDbInstance();
  if (columnsEnsuredForDb === db) return;
  const rows = db.prepare("PRAGMA table_info(compression_analytics)").all() as Array<{
    name: string;
  }>;
  const existing = new Set(rows.map((row) => row.name));
  for (const [name, type] of COMPRESSION_ANALYTICS_COLUMNS) {
    if (!existing.has(name)) {
      db.exec(`ALTER TABLE compression_analytics ADD COLUMN ${name} ${type}`);
    }
  }
  columnsEnsuredForDb = db;
}

export function insertCompressionAnalyticsRow(row: CompressionAnalyticsRow): void {
  const db = getDbInstance();
  ensureCompressionAnalyticsColumns();
  db.prepare(
    `
    INSERT INTO compression_analytics (
      timestamp, combo_id, compression_combo_id, engine, provider, mode, original_tokens, compressed_tokens, tokens_saved,
      duration_ms, request_id, actual_prompt_tokens, actual_completion_tokens,
      actual_total_tokens, actual_cache_read_tokens, actual_cache_write_tokens,
      estimated_usd_saved, mcp_description_tokens_saved, multimodal_skip_count,
      receipt_source, validation_fallback, output_mode, rtk_raw_output_pointer, rtk_raw_output_bytes,
      rtk_raw_output_pointers, rtk_raw_output_total_bytes
    )
    VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
  `
  ).run(
    row.timestamp,
    row.combo_id ?? null,
    row.compression_combo_id ?? null,
    row.engine ?? row.mode,
    row.provider ?? null,
    row.mode,
    row.original_tokens,
    row.compressed_tokens,
    row.tokens_saved,
    row.duration_ms ?? null,
    row.request_id ?? null,
    row.actual_prompt_tokens ?? null,
    row.actual_completion_tokens ?? null,
    row.actual_total_tokens ?? null,
    row.actual_cache_read_tokens ?? null,
    row.actual_cache_write_tokens ?? null,
    row.estimated_usd_saved ?? null,
    row.mcp_description_tokens_saved ?? 0,
    row.multimodal_skip_count ?? 0,
    row.receipt_source ?? null,
    row.validation_fallback ? 1 : 0,
    row.output_mode ?? null,
    row.rtk_raw_output_pointer ?? null,
    row.rtk_raw_output_bytes ?? null,
    row.rtk_raw_output_pointers ?? null,
    row.rtk_raw_output_total_bytes ?? null
  );
}

/**
 * Record one Anthropic server-side Context Editing receipt as a
 * `compression_analytics` row under engine `"context-editing"`.
 *
 * The provider cleared `clearedInputTokens` of stale tool-use/thinking context from
 * its own window, so that maps to `tokens_saved` (original = cleared, compressed = 0).
 * Unlike the local engines there is no separate usage receipt to attach, so the
 * `request_id` is suffixed (`<id>::context-editing`): it stays traceable to the
 * originating request while staying collision-free with the exact-match
 * `attachCompressionUsageReceipt` UPDATE, which would otherwise latch onto this row.
 *
 * Best-effort: a zero/absent receipt is a no-op (context editing did not fire).
 */
export function recordContextEditingTelemetry(
  requestId: string | null | undefined,
  telemetry:
    | { clearedInputTokens?: number; clearedToolUses?: number; editCount?: number }
    | null
    | undefined,
  provider: string | null = "claude"
): void {
  const cleared = telemetry?.clearedInputTokens ?? 0;
  if (!Number.isFinite(cleared) || cleared <= 0) return;
  insertCompressionAnalyticsRow({
    timestamp: new Date().toISOString(),
    provider,
    mode: "context-editing",
    engine: "context-editing",
    original_tokens: cleared,
    compressed_tokens: 0,
    tokens_saved: cleared,
    request_id: requestId ? `${requestId}::context-editing` : null,
  });
}

let breakdownTableEnsuredForDb: unknown = null;

function ensureCompressionEngineBreakdownTable(): void {
  const db = getDbInstance();
  if (breakdownTableEnsuredForDb === db) return;
  db.exec(`
    CREATE TABLE IF NOT EXISTS compression_engine_breakdown (
      id INTEGER PRIMARY KEY AUTOINCREMENT,
      timestamp TEXT NOT NULL,
      request_id TEXT,
      engine TEXT NOT NULL,
      original_tokens INTEGER NOT NULL DEFAULT 0,
      compressed_tokens INTEGER NOT NULL DEFAULT 0,
      tokens_saved INTEGER NOT NULL DEFAULT 0,
      duration_ms INTEGER
    );
    CREATE INDEX IF NOT EXISTS idx_ceb_engine_ts ON compression_engine_breakdown(engine, timestamp);
    CREATE INDEX IF NOT EXISTS idx_ceb_request ON compression_engine_breakdown(request_id);
  `);
  breakdownTableEnsuredForDb = db;
}

export function insertCompressionEngineBreakdown(rows: CompressionEngineBreakdownRow[]): void {
  if (!rows.length) return;
  const db = getDbInstance();
  ensureCompressionEngineBreakdownTable();
  const stmt = db.prepare(
    `INSERT INTO compression_engine_breakdown
       (timestamp, request_id, engine, original_tokens, compressed_tokens, tokens_saved, duration_ms)
     VALUES (?, ?, ?, ?, ?, ?, ?)`
  );
  const insertAll = db.transaction((items: CompressionEngineBreakdownRow[]) => {
    for (const r of items) {
      stmt.run(
        r.timestamp,
        r.request_id ?? null,
        r.engine,
        r.original_tokens,
        r.compressed_tokens,
        r.tokens_saved,
        r.duration_ms ?? null
      );
    }
  });
  insertAll(rows);
}

export function attachCompressionUsageReceipt(
  requestId: string | null | undefined,
  usage: Record<string, unknown> | null | undefined,
  source: "provider" | "estimated" | "stream" = "provider"
): void {
  if (!requestId || !usage || typeof usage !== "object") return;
  const promptTokens = toFiniteInt(usage.prompt_tokens);
  const completionTokens = toFiniteInt(usage.completion_tokens);
  const totalTokens =
    toFiniteInt(usage.total_tokens) ?? (promptTokens ?? 0) + (completionTokens ?? 0);
  const promptDetails =
    usage.prompt_tokens_details && typeof usage.prompt_tokens_details === "object"
      ? (usage.prompt_tokens_details as Record<string, unknown>)
      : {};
  const cacheReadTokens = toFiniteInt(
    usage.cache_read_input_tokens ?? usage.cached_tokens ?? promptDetails.cached_tokens
  );
  const cacheWriteTokens = toFiniteInt(
    usage.cache_creation_input_tokens ?? promptDetails.cache_creation_tokens
  );
  if (promptTokens === null && completionTokens === null && totalTokens <= 0) return;

  const db = getDbInstance();
  ensureCompressionAnalyticsColumns();
  db.prepare(
    `
    UPDATE compression_analytics
    SET actual_prompt_tokens = ?,
        actual_completion_tokens = ?,
        actual_total_tokens = ?,
        actual_cache_read_tokens = ?,
        actual_cache_write_tokens = ?,
        receipt_source = ?
    WHERE request_id = ?
      AND id = (
        SELECT id FROM compression_analytics
        WHERE request_id = ?
        ORDER BY id DESC
        LIMIT 1
      )
  `
  ).run(
    promptTokens,
    completionTokens,
    totalTokens,
    cacheReadTokens,
    cacheWriteTokens,
    source,
    requestId,
    requestId
  );
}

function toFiniteInt(value: unknown): number | null {
  if (typeof value === "number" && Number.isFinite(value)) return Math.max(0, Math.floor(value));
  if (typeof value === "string" && value.trim()) {
    const parsed = Number(value);
    if (Number.isFinite(parsed)) return Math.max(0, Math.floor(parsed));
  }
  return null;
}

function appendCondition(whereClause: string, condition: string): string {
  return whereClause ? `${whereClause} AND ${condition}` : `WHERE ${condition}`;
}

type EngineAggRow = { runs: number; original: number; compressed: number; saved: number };

export function getPerEngineAnalytics(engineId: string, days = 7) {
  const db = getDbInstance();
  ensureCompressionAnalyticsColumns();
  ensureCompressionEngineBreakdownTable();
  const since = new Date(Date.now() - days * 86400_000).toISOString();

  // (1) Per-engine contributions from stacked runs (one breakdown row per engine).
  const breakdown = db
    .prepare(
      `SELECT COUNT(*) AS runs,
              COALESCE(SUM(original_tokens), 0) AS original,
              COALESCE(SUM(compressed_tokens), 0) AS compressed,
              COALESCE(SUM(tokens_saved), 0) AS saved
       FROM compression_engine_breakdown
       WHERE engine = ? AND timestamp >= ?`
    )
    .get(engineId, since) as EngineAggRow;

  // (2) Legacy single-engine rows from compression_analytics, EXCLUDING any request
  // that already has a per-engine breakdown — so a stacked run's aggregate row is not
  // double-counted on top of its breakdown rows.
  const legacy = db
    .prepare(
      `SELECT COUNT(*) AS runs,
              COALESCE(SUM(original_tokens), 0) AS original,
              COALESCE(SUM(compressed_tokens), 0) AS compressed,
              COALESCE(SUM(tokens_saved), 0) AS saved
       FROM compression_analytics
       WHERE COALESCE(engine, mode) = ? AND timestamp >= ?
         AND (
           request_id IS NULL
           OR request_id NOT IN (
             SELECT request_id FROM compression_engine_breakdown WHERE request_id IS NOT NULL
           )
         )`
    )
    .get(engineId, since) as EngineAggRow;

  const runs = breakdown.runs + legacy.runs;
  const original = breakdown.original + legacy.original;
  const compressed = breakdown.compressed + legacy.compressed;
  const tokensSaved = Math.max(0, breakdown.saved + legacy.saved);
  const avgSavingsPercent =
    original > 0 ? Math.round(((original - compressed) / original) * 1000) / 10 : 0;
  return { engineId, runs, tokensSaved, avgSavingsPercent, days };
}

export function getCompressionAnalyticsSummary(since?: string): CompressionAnalyticsSummary {
  const db = getDbInstance();
  ensureCompressionAnalyticsColumns();

  let cutoff: string | null = null;
  if (since === "24h") {
    cutoff = new Date(Date.now() - 24 * 60 * 60 * 1000).toISOString();
  } else if (since === "7d") {
    cutoff = new Date(Date.now() - 7 * 24 * 60 * 60 * 1000).toISOString();
  } else if (since === "30d") {
    cutoff = new Date(Date.now() - 30 * 24 * 60 * 60 * 1000).toISOString();
  }

  const whereClause = cutoff ? "WHERE timestamp >= ?" : "";
  const params = cutoff ? [cutoff] : [];

  type ScalarRow = { total: number; totalSaved: number; avgPct: number; avgDur: number };
  const scalar = db
    .prepare(
      `
    SELECT
      COUNT(*) as total,
      COALESCE(SUM(tokens_saved), 0) as totalSaved,
      COALESCE(AVG(CASE WHEN original_tokens > 0 THEN CAST(tokens_saved AS REAL) / original_tokens * 100 ELSE 0 END), 0) as avgPct,
      COALESCE(AVG(duration_ms), 0) as avgDur
    FROM compression_analytics ${whereClause}
  `
    )
    .get(...params) as ScalarRow | undefined;

  const modeRows = db
    .prepare(
      `
    SELECT mode, COUNT(*) as cnt, COALESCE(SUM(tokens_saved), 0) as saved,
      COALESCE(AVG(CASE WHEN original_tokens > 0 THEN CAST(tokens_saved AS REAL) / original_tokens * 100 ELSE 0 END), 0) as avgPct
    FROM compression_analytics ${whereClause}
    GROUP BY mode
  `
    )
    .all(...params) as Array<{ mode: string; cnt: number; saved: number; avgPct: number }>;

  const byMode: Record<string, { count: number; tokensSaved: number; avgSavingsPct: number }> = {};
  for (const r of modeRows) {
    byMode[r.mode] = { count: r.cnt, tokensSaved: r.saved, avgSavingsPct: Math.round(r.avgPct) };
  }

  const engineRows = db
    .prepare(
      `
    SELECT COALESCE(engine, mode) as engine, COUNT(*) as cnt, COALESCE(SUM(tokens_saved), 0) as saved,
      COALESCE(AVG(CASE WHEN original_tokens > 0 THEN CAST(tokens_saved AS REAL) / original_tokens * 100 ELSE 0 END), 0) as avgPct
    FROM compression_analytics ${whereClause}
    GROUP BY COALESCE(engine, mode)
  `
    )
    .all(...params) as Array<{ engine: string; cnt: number; saved: number; avgPct: number }>;

  const byEngine: Record<string, { count: number; tokensSaved: number; avgSavingsPct: number }> =
    {};
  for (const r of engineRows) {
    byEngine[r.engine] = {
      count: r.cnt,
      tokensSaved: r.saved,
      avgSavingsPct: Math.round(r.avgPct),
    };
  }

  const compressionComboRows = db
    .prepare(
      `
    SELECT compression_combo_id as compressionComboId, COUNT(*) as cnt,
      COALESCE(SUM(tokens_saved), 0) as saved
    FROM compression_analytics ${appendCondition(whereClause, "compression_combo_id IS NOT NULL")}
    GROUP BY compression_combo_id ORDER BY cnt DESC
  `
    )
    .all(...params) as Array<{ compressionComboId: string | null; cnt: number; saved: number }>;

  const byCompressionCombo: Record<string, { count: number; tokensSaved: number }> = {};
  for (const r of compressionComboRows) {
    const key = r.compressionComboId ?? "unknown";
    byCompressionCombo[key] = { count: r.cnt, tokensSaved: r.saved };
  }

  const provRows = db
    .prepare(
      `
    SELECT provider, COUNT(*) as cnt, COALESCE(SUM(tokens_saved), 0) as saved
    FROM compression_analytics ${whereClause}
    GROUP BY provider ORDER BY cnt DESC
  `
    )
    .all(...params) as Array<{ provider: string | null; cnt: number; saved: number }>;

  const byProvider: Record<string, { count: number; tokensSaved: number }> = {};
  for (const r of provRows) {
    const key = r.provider ?? "unknown";
    byProvider[key] = { count: r.cnt, tokensSaved: r.saved };
  }

  const last24hMap = new Map<string, { hour: string; count: number; tokensSaved: number }>();
  const now = new Date();
  for (let i = 23; i >= 0; i--) {
    const d = new Date(now.getTime() - i * 60 * 60 * 1000);
    const hourStr = d.toISOString().substring(0, 14) + "00:00Z";
    last24hMap.set(hourStr, { hour: hourStr, count: 0, tokensSaved: 0 });
  }

  const hourRows = db
    .prepare(
      `
    SELECT strftime('%Y-%m-%dT%H:00:00Z', timestamp) as hour,
      COUNT(*) as cnt, COALESCE(SUM(tokens_saved), 0) as saved
    FROM compression_analytics
    WHERE timestamp >= ?
    GROUP BY hour ORDER BY hour ASC
  `
    )
    .all(new Date(now.getTime() - 24 * 60 * 60 * 1000).toISOString()) as Array<{
    hour: string;
    cnt: number;
    saved: number;
  }>;

  for (const r of hourRows) {
    if (last24hMap.has(r.hour)) {
      last24hMap.set(r.hour, { hour: r.hour, count: r.cnt, tokensSaved: r.saved });
    }
  }

  const last24h = Array.from(last24hMap.values());

  const receiptRows = db
    .prepare(
      `
    SELECT receipt_source as source, COUNT(*) as cnt,
      COALESCE(SUM(actual_prompt_tokens), 0) as prompt,
      COALESCE(SUM(actual_completion_tokens), 0) as completion,
      COALESCE(SUM(actual_total_tokens), 0) as total,
      COALESCE(SUM(actual_cache_read_tokens), 0) as cacheRead,
      COALESCE(SUM(actual_cache_write_tokens), 0) as cacheWrite,
      COALESCE(SUM(estimated_usd_saved), 0) as usdSaved
    FROM compression_analytics ${appendCondition(whereClause, "receipt_source IS NOT NULL")}
    GROUP BY receipt_source
  `
    )
    .all(...params) as Array<{
    source: string | null;
    cnt: number;
    prompt: number;
    completion: number;
    total: number;
    cacheRead: number;
    cacheWrite: number;
    usdSaved: number;
  }>;

  const realUsage = {
    requestsWithReceipts: 0,
    promptTokens: 0,
    completionTokens: 0,
    totalTokens: 0,
    cacheReadTokens: 0,
    cacheWriteTokens: 0,
    estimatedUsdSaved: 0,
    bySource: {} as Record<string, number>,
  };
  for (const row of receiptRows) {
    const source = row.source ?? "unknown";
    realUsage.requestsWithReceipts += row.cnt;
    realUsage.promptTokens += row.prompt;
    realUsage.completionTokens += row.completion;
    realUsage.totalTokens += row.total;
    realUsage.cacheReadTokens += row.cacheRead;
    realUsage.cacheWriteTokens += row.cacheWrite;
    realUsage.estimatedUsdSaved += row.usdSaved;
    realUsage.bySource[source] = row.cnt;
  }

  const fallbackRow = db
    .prepare(
      `
    SELECT COUNT(*) as cnt
    FROM compression_analytics ${appendCondition(whereClause, "validation_fallback = 1")}
  `
    )
    .get(...params) as { cnt: number } | undefined;

  const mcpDescriptionRow = db
    .prepare(
      `
    SELECT COUNT(*) as cnt, COALESCE(SUM(mcp_description_tokens_saved), 0) as saved
    FROM compression_analytics ${appendCondition(whereClause, "mcp_description_tokens_saved > 0")}
  `
    )
    .get(...params) as { cnt: number; saved: number } | undefined;

  return {
    totalRequests: scalar?.total ?? 0,
    totalTokensSaved: scalar?.totalSaved ?? 0,
    avgSavingsPct: Math.round(scalar?.avgPct ?? 0),
    avgDurationMs: Math.round(scalar?.avgDur ?? 0),
    byMode,
    byEngine,
    byCompressionCombo,
    byProvider,
    last24h,
    validationFallbacks: fallbackRow?.cnt ?? 0,
    realUsage,
    mcpDescriptionCompression: {
      snapshots: mcpDescriptionRow?.cnt ?? 0,
      estimatedTokensSaved: mcpDescriptionRow?.saved ?? 0,
    },
  };
}

export interface LatestCompressionAnalyticsRun {
  id: number;
  timestamp: string;
  combo_id: string | null;
  compression_combo_id: string | null;
  mode: string;
  original_tokens: number;
  compressed_tokens: number;
  tokens_saved: number;
  duration_ms: number | null;
  request_id: string | null;
  engine: string | null;
  validation_fallback: number | null;
}

export function getLatestCompressionAnalyticsRun(): LatestCompressionAnalyticsRun | undefined {
  const db = getDbInstance();
  return db
    .prepare(
      `SELECT id, timestamp, combo_id, compression_combo_id, mode,
              original_tokens, compressed_tokens, tokens_saved, duration_ms,
              request_id, engine, validation_fallback
         FROM compression_analytics
        ORDER BY timestamp DESC, id DESC
        LIMIT 1`
    )
    .get() as LatestCompressionAnalyticsRun | undefined;
}