from pydantic import Field, field_validator
from pydantic_settings import BaseSettings, SettingsConfigDict
from typing import Union


class Config(BaseSettings):
    model_config = SettingsConfigDict(
        extra="ignore",
        env_prefix="GROUP_HORSE_RACING_",
    )

    TEST_MODE: bool = False
    TESTERS: set[int] = Field(default_factory=set)
    TEST_GROUPS: set[int] = Field(default_factory=set)
    ALLOWED_GROUPS: set[int] = Field(default_factory=set)

    PARTICIPANT_REWARD: int = 50
    CHAMPION_REWARD: int = 200
    MIN_BET: int = 10
    MIN_ODDS: float = 1.2
    RACE_DISTANCE: int = 100
    RACE_TICK_INTERVAL: int = 5

    MESSAGE_RECALL: dict[str, int] = Field(
        default_factory=lambda: {
            "race_update": 30,
            "registration": 180,
            "bet_confirm": 180,
            "cancel_confirm": 60,
            "error": 60,
            "race_result": 0,
            "leaderboard": 0,
            "help": 0,
            "odds_display": 0,
        }
    )

    RACE_DB_FILE: str = "data/group_horse_racing/race.db"

    @field_validator("TESTERS", "TEST_GROUPS", "ALLOWED_GROUPS", mode="before")
    @classmethod
    def parse_id_sets(cls, v):
        """Parse ID sets from various formats."""
        if isinstance(v, set):
            return v
        if isinstance(v, str):
            # Handle JSON string format like "[1424473282]"
            import json
            try:
                parsed = json.loads(v)
                if isinstance(parsed, list):
                    return set(int(x) for x in parsed)
            except (json.JSONDecodeError, ValueError, TypeError):
                pass
            # Handle comma-separated format
            try:
                return set(int(x.strip()) for x in v.split(",") if x.strip())
            except ValueError:
                pass
        if isinstance(v, (list, tuple)):
            return set(int(x) for x in v)
        return v if isinstance(v, set) else set()