"""Proxy trade symbol helpers for event-driven strategies."""
from __future__ import annotations

SECTOR_ETF_BY_SECTOR: dict[str, str] = {
    "Technology": "XLK",
    "Health Care": "XLV",
    "Healthcare": "XLV",
    "Financials": "XLF",
    "Consumer Discretionary": "XLY",
    "Industrials": "XLI",
    "Energy": "XLE",
    "Utilities": "XLU",
    "Real Estate": "XLRE",
    "Materials": "XLB",
    "Communication Services": "XLC",
    "Consumer Staples": "XLP",
}

LEADER_PEER_CANDIDATES_BY_SYMBOL: dict[str, tuple[str, ...]] = {
    "AVGO": ("NVDA", "AMD", "QCOM", "MRVL"),
    "SNOW": ("CRM", "NOW", "ORCL", "MDB"),
    "URI": ("CAT", "DE", "PWR", "PH"),
    "ISRG": ("ABBV", "MRK", "AMGN", "JNJ", "LLY", "BSX"),
    "LLY": ("ABBV", "MRK", "JNJ", "AMGN"),
    "CCI": ("AMT", "SBAC", "EQIX", "DLR"),
    "AXON": ("TDY", "LHX", "GD", "RTX"),
    "CACI": ("LDOS", "BAH", "SAIC", "LHX"),
    "AEIS": ("ENTG", "KLAC", "AMAT", "LRCX"),
    "NVDA": ("AVGO", "AMD", "QCOM", "MRVL"),
    "AMD": ("NVDA", "AVGO", "QCOM", "MRVL"),
    "MSFT": ("ORCL", "CRM", "NOW", "ADBE"),
    "META": ("GOOGL", "NFLX", "TMUS", "DIS"),
    "AMZN": ("HD", "TJX", "BKNG", "LOW"),
}

SECTOR_STOCK_FALLBACKS: dict[str, tuple[str, ...]] = {
    "Technology": ("MSFT", "NVDA", "AVGO", "ORCL", "CRM", "ADBE", "AMD", "INTU"),
    "Health Care": ("LLY", "ABBV", "MRK", "JNJ", "AMGN", "ISRG", "BSX"),
    "Healthcare": ("LLY", "ABBV", "MRK", "JNJ", "AMGN", "ISRG", "BSX"),
    "Financials": ("JPM", "GS", "MS", "BLK", "SPGI", "ICE"),
    "Consumer Discretionary": ("AMZN", "HD", "TJX", "LOW", "BKNG", "MCD"),
    "Industrials": ("CAT", "DE", "HON", "GE", "PWR", "RTX", "LHX"),
    "Energy": ("XOM", "CVX", "COP", "SLB", "EOG"),
    "Utilities": ("NEE", "DUK", "SO", "CEG"),
    "Real Estate": ("AMT", "EQIX", "PLD", "DLR", "SBAC", "CCI"),
    "Materials": ("LIN", "APD", "NEM", "SHW"),
    "Communication Services": ("GOOGL", "META", "NFLX", "TMUS", "DIS"),
    "Consumer Staples": ("COST", "PG", "KO", "PM", "WMT"),
}


def sector_etf_for_sector(sector: str | None) -> str | None:
    if not sector:
        return None
    normalized = str(sector).strip()
    if not normalized:
        return None
    return SECTOR_ETF_BY_SECTOR.get(normalized)


def peer_candidates_for_symbol(
    source_symbol: str | None,
    sector: str | None,
) -> list[str]:
    source = (source_symbol or "").strip().upper()
    ordered: list[str] = []
    if source:
        ordered.extend(LEADER_PEER_CANDIDATES_BY_SYMBOL.get(source, ()))
    if sector:
        normalized_sector = str(sector).strip()
        if normalized_sector:
            ordered.extend(SECTOR_STOCK_FALLBACKS.get(normalized_sector, ()))

    seen: set[str] = set()
    result: list[str] = []
    for symbol in ordered:
        candidate = str(symbol).strip().upper()
        if not candidate or candidate == source or candidate in seen:
            continue
        seen.add(candidate)
        result.append(candidate)
    return result