import os
import glob
from typing import Dict, List, Tuple
# ---
from cvttpy_tools.config import CvttAppConfig
# ---
from cvttpy_trading.trading.instrument import ExchangeInstrument

DayT = str
DataFileNameT = str

def resolve_datafiles(
    config: Dict, date_pattern: str, instruments: List[ExchangeInstrument]
) -> List[Tuple[DayT, DataFileNameT]]:
    resolved_files: List[Tuple[DayT, DataFileNameT]] = []
    for exch_inst in instruments:
        pattern = date_pattern
        inst_type = exch_inst.user_data_.get("instrument_type", "?instrument_type?")
        data_dir = config["market_data_loading"][inst_type]["data_directory"]
        if "*" in pattern or "?" in pattern:
            # Handle wildcards
            if not os.path.isabs(pattern):
                pattern = os.path.join(data_dir, f"{pattern}.mktdata.ohlcv.db")
            matched_files = glob.glob(pattern)
            for matched_file in matched_files:
                import re
                match = re.search(r"(\d{8})\.mktdata\.ohlcv\.db$", matched_file)
                assert match is not None
                day = match.group(1)
                resolved_files.append((day, matched_file))
        else:
            # Handle explicit file path
            if not os.path.isabs(pattern):
                pattern = os.path.join(data_dir, f"{pattern}.mktdata.ohlcv.db")
            resolved_files.append((date_pattern, pattern))
    return sorted(list(set(resolved_files)))  # Remove duplicates and sort