"""Smoke test REALE dei pairs: fetch live da Cerbero + un tick vero per coppia.

A differenza di validate_worker_pairs.py (replay su parquet storici), questo verifica
la PIPELINE LIVE end-to-end: chiama Cerbero per entrambe le gambe, controlla che lo
strumento esista e sia fresco, fa un tick reale del PairsWorker e riporta lo stato.

Serve a scoprire i problemi che il backtest nasconde (es. un perp alt non disponibile
sull'endpoint Deribit). NON apre ordini reali: e' solo paper/lettura.
"""
from __future__ import annotations

import sys
import shutil
import tempfile
from datetime import datetime, timezone, timedelta
from pathlib import Path

import numpy as np
import pandas as pd

PROJECT_ROOT = Path(__file__).resolve().parents[2]
sys.path.insert(0, str(PROJECT_ROOT))

from src.live.cerbero_client import CerberoClient
from src.live.multi_runner import INSTRUMENT_MAP
from src.live.pairs_worker import PairsWorker
from scripts.strategies.PR01_pairs_reversion import PAIRS


def fetch(cli, asset, start, end):
    inst = INSTRUMENT_MAP.get(asset, f"{asset}-PERPETUAL")
    try:
        cs = cli.get_historical(inst, start.strftime("%Y-%m-%d"), end.strftime("%Y-%m-%d"), "60")
        if not cs:
            return inst, None, "VUOTO (strumento assente sull'endpoint)"
        df = pd.DataFrame(cs)
        df["timestamp"] = df["timestamp"].astype("int64")
        df = df.sort_values("timestamp").reset_index(drop=True)
        last = pd.to_datetime(df["timestamp"].iloc[-1], unit="ms", utc=True)
        age = (datetime.now(timezone.utc) - last).total_seconds() / 3600
        return inst, df, f"{len(df)} barre, ultima {last:%Y-%m-%d %H:%M} ({age:.1f}h fa)"
    except Exception as e:
        return inst, None, f"ERRORE {type(e).__name__}: {str(e)[:60]}"


def main():
    cli = CerberoClient()
    end = datetime.now(timezone.utc)
    start = end - timedelta(days=60)
    assets = sorted({a for a, _, _ in PAIRS} | {b for _, b, _ in PAIRS})

    print("=" * 80)
    print("  SMOKE TEST LIVE PAIRS — fetch reale Cerbero + tick (no ordini reali)")
    print("=" * 80)
    data = {}
    for a in assets:
        inst, df, msg = fetch(cli, a, start, end)
        data[a] = df
        print(f"  {a:<4s} [{inst:<16s}] {msg}")

    print("\n  tick reale per coppia:")
    tmp = Path(tempfile.mkdtemp())
    try:
        for a, b, p in PAIRS:
            if data.get(a) is None or data.get(b) is None:
                print(f"  {a}/{b:<4s}: SKIP (manca feed live di una gamba) -> non tradabile live ora")
                continue
            w = PairsWorker(a, b, "1h", params=p, fee_rt=0.001, data_dir=tmp)
            w._log = lambda *x, **k: None
            w._notify = lambda *x, **k: None
            m = data[a][["timestamp", "close"]].merge(
                data[b][["timestamp", "close"]], on="timestamp", how="inner")
            if len(m) < p["n"] + 2:
                print(f"  {a}/{b:<4s}: merge {len(m)} barre < n+2 ({p['n']+2}) -> dati insufficienti")
                continue
            z, _ = w._zscore(m["close_x"].values, m["close_y"].values)
            w.tick(data[a], data[b])
            state = ("IN POS " + ("LONG " + a if w.direction == 1 else "SHORT " + a)
                     if w.in_position else "FLAT")
            print(f"  {a}/{b:<4s}: OK merge {len(m)} barre, z_ora={z[-1]:+.2f} -> {state}")
    finally:
        shutil.rmtree(tmp, ignore_errors=True)
    print("\n  Solo le coppie con entrambe le gambe fresche su Cerbero sono tradabili live.")


if __name__ == "__main__":
    main()