from typing import List, Literal
from pydantic import BaseModel, Field, field_validator


class Pick(BaseModel):
    numbers: List[int] = Field(min_length=6, max_length=6)
    risk_tag: Literal["안정", "균형", "공격"]
    reason: str = Field(max_length=80)

    @field_validator("numbers")
    @classmethod
    def _check_numbers(cls, v):
        if len(set(v)) != 6:
            raise ValueError("numbers must be 6 unique integers")
        if any(n < 1 or n > 45 for n in v):
            raise ValueError("numbers must be within 1..45")
        return sorted(v)


class Narrative(BaseModel):
    headline: str
    summary_3lines: List[str] = Field(min_length=3, max_length=3)
    hot_cold_comment: str = ""
    warnings: str = ""


class CuratorOutput(BaseModel):
    picks: List[Pick]
    narrative: Narrative
    confidence: int = Field(ge=0, le=100)


def validate_response(data: dict, candidate_numbers: List[List[int]]) -> CuratorOutput:
    out = CuratorOutput.model_validate(data)
    if len(out.picks) != 5:
        raise ValueError("picks must have exactly 5 sets")
    candidate_set = {tuple(sorted(c)) for c in candidate_numbers}
    for p in out.picks:
        if tuple(p.numbers) not in candidate_set:
            raise ValueError(f"pick {p.numbers} not in candidates")
    return out