/**
 * Lakehouse Observer — autonomous iteration loop.
 *
 * Runs continuously alongside the agent gateway. Watches every operation,
 * logs outcomes, detects failures, and feeds learnings back so agents
 * improve over time without retraining.
 *
 * Three loops:
 * 1. OPERATION OBSERVER — wraps gateway calls, timestamps + logs every
 *    success/failure to the lakehouse
 * 2. ERROR ANALYZER — periodically reads the error log, asks a local
 *    model to diagnose patterns, writes recommendations
 * 3. PLAYBOOK BUILDER — after N successful ops of the same type,
 *    consolidates them into a reusable playbook entry
 *
 * This is the "third-party witness" J asked for — it watches what
 * agents do and helps them not repeat mistakes.
 */

const GATEWAY = process.env.GATEWAY_URL || "http://localhost:3700";
const LAKEHOUSE = process.env.LAKEHOUSE_URL || "http://localhost:3100";
const CYCLE_SECS = parseInt(process.env.OBSERVER_CYCLE || "30");

// ─── Observed operation log ───

interface ObservedOp {
  timestamp: string;
  endpoint: string;
  input_summary: string;
  success: boolean;
  duration_ms: number;
  output_summary: string;
  error?: string;
}

const recentOps: ObservedOp[] = [];

// ─── Wrapped gateway caller — every call gets observed ───

export async function observed(
  endpoint: string,
  body: any,
  description: string,
): Promise<{ data: any; op: ObservedOp }> {
  const t0 = Date.now();
  let data: any;
  let error: string | undefined;
  let success = true;

  try {
    const resp = await fetch(`${GATEWAY}${endpoint}`, {
      method: "POST",
      headers: { "Content-Type": "application/json" },
      body: JSON.stringify(body),
    });
    data = await resp.json();
    if (data.error) {
      success = false;
      error = data.error;
    }
  } catch (e: any) {
    success = false;
    error = e.message;
    data = { error: e.message };
  }

  const op: ObservedOp = {
    timestamp: new Date().toISOString(),
    endpoint,
    input_summary: description,
    success,
    duration_ms: Date.now() - t0,
    output_summary: success
      ? summarize(data)
      : `ERROR: ${error}`,
    error,
  };

  recentOps.push(op);
  if (recentOps.length > 1000) recentOps.shift();

  // Persist to lakehouse
  await persistOp(op);

  return { data, op };
}

function summarize(data: any): string {
  if (data.sql_matches !== undefined) return `hybrid: ${data.sql_matches} sql → ${data.vector_reranked} results`;
  if (data.rows) return `${data.row_count || data.rows.length} rows`;
  if (data.answer) return `answer: ${data.answer.slice(0, 80)}...`;
  if (data.sources) return `${data.sources.length} sources`;
  return JSON.stringify(data).slice(0, 100);
}

async function persistOp(op: ObservedOp) {
  const csv = `timestamp,endpoint,input_summary,success,duration_ms,output_summary,error
"${op.timestamp}","${op.endpoint}","${esc(op.input_summary)}",${op.success},${op.duration_ms},"${esc(op.output_summary)}","${esc(op.error || "")}"`;

  const form = new FormData();
  form.append("file", new Blob([csv], { type: "text/csv" }), "op.csv");
  await fetch(`${LAKEHOUSE}/ingest/file?name=observed_operations`, { method: "POST", body: form }).catch(() => {});
}

function esc(s: string) { return s.replace(/"/g, '""').replace(/\n/g, ' '); }

// ─── Error analyzer loop ───

async function analyzeErrors() {
  // Read recent failures
  const failures = recentOps.filter(op => !op.success);
  if (failures.length === 0) return;

  const errorSummary = failures.slice(-10).map(f =>
    `[${f.endpoint}] ${f.input_summary}: ${f.error}`
  ).join("\n");

  // Ask local model to diagnose
  try {
    const resp = await fetch(`${LAKEHOUSE}/ai/generate`, {
      method: "POST",
      headers: { "Content-Type": "application/json" },
      body: JSON.stringify({
        prompt: `You are a system reliability observer. Analyze these recent failures and suggest fixes:

${errorSummary}

For each error:
1. What likely caused it?
2. How should the agent adjust its approach?
3. Should this be added to the playbook as a "don't do this"?

Be specific and actionable. Under 200 words.`,
        model: "qwen2.5",
        max_tokens: 400,
        temperature: 0.2,
      }),
    });
    const analysis = await resp.json();
    if (analysis.text) {
      console.error(`[observer] Error analysis:\n${analysis.text}`);
      // Log the analysis as a playbook entry
      await fetch(`${GATEWAY}/log`, {
        method: "POST",
        headers: { "Content-Type": "application/json" },
        body: JSON.stringify({
          operation: `error_analysis: ${failures.length} failures`,
          approach: "LLM-analyzed error patterns",
          result: analysis.text.slice(0, 500),
          context: errorSummary.slice(0, 500),
        }),
      });
    }
  } catch (e) {
    console.error(`[observer] Analysis failed: ${e}`);
  }
}

// ─── Playbook consolidation ───

async function consolidatePlaybooks() {
  const successes = recentOps.filter(op => op.success);
  if (successes.length < 5) return;

  // Group by endpoint
  const groups: Record<string, ObservedOp[]> = {};
  for (const op of successes) {
    const key = op.endpoint;
    if (!groups[key]) groups[key] = [];
    groups[key].push(op);
  }

  for (const [endpoint, ops] of Object.entries(groups)) {
    if (ops.length < 3) continue;

    const avgDuration = ops.reduce((s, o) => s + o.duration_ms, 0) / ops.length;
    const pattern = ops.slice(-3).map(o => o.input_summary).join("; ");

    await fetch(`${GATEWAY}/log`, {
      method: "POST",
      headers: { "Content-Type": "application/json" },
      body: JSON.stringify({
        operation: `consolidated: ${ops.length} successful ${endpoint} calls`,
        approach: `common pattern: ${pattern.slice(0, 200)}`,
        result: `avg_duration=${avgDuration.toFixed(0)}ms, ${ops.length} successes`,
        context: `endpoint=${endpoint}`,
      }),
    }).catch(() => {});
  }
}

// ─── Main loop ───

async function main() {
  console.error(`[observer] started — cycle=${CYCLE_SECS}s, gateway=${GATEWAY}`);

  // Run a health check first
  const health = await fetch(`${GATEWAY}/health`).then(r => r.json()).catch(() => null);
  if (!health) {
    console.error("[observer] gateway unreachable — exiting");
    process.exit(1);
  }
  console.error(`[observer] gateway healthy: ${JSON.stringify(health)}`);

  // Main loop
  let cycle = 0;
  while (true) {
    await Bun.sleep(CYCLE_SECS * 1000);
    cycle++;

    // Every cycle: analyze errors if any
    await analyzeErrors();

    // Every 5 cycles: consolidate playbooks
    if (cycle % 5 === 0) {
      await consolidatePlaybooks();
    }

    const stats = {
      cycle,
      total_ops: recentOps.length,
      successes: recentOps.filter(o => o.success).length,
      failures: recentOps.filter(o => !o.success).length,
    };
    console.error(`[observer] cycle ${cycle}: ${JSON.stringify(stats)}`);
  }
}

// Export the observed wrapper for other agents to use
export { main as startObserver };

// Run if executed directly
if (import.meta.main) {
  main().catch(console.error);
}