# generated by datamodel-codegen:
#   filename:  skill_report.json

from __future__ import annotations

from enum import StrEnum

from pydantic import AwareDatetime, BaseModel, ConfigDict, constr


class Kind(StrEnum):
    DAY_AHEAD_BID_SUMMARY = 'DAY_AHEAD_BID_SUMMARY'
    FORECAST_EVAL = 'FORECAST_EVAL'
    BID_BACKTEST = 'BID_BACKTEST'


class Ref(BaseModel):
    model_config = ConfigDict(
        extra='forbid',
    )
    tool_call_id: constr(min_length=1)
    path: constr(min_length=1)


class Metric(BaseModel):
    model_config = ConfigDict(
        extra='forbid',
    )
    name: constr(min_length=1)
    value: constr(pattern=r'^-?\d+(\.\d+)?$')
    unit: constr(min_length=1)
    ref: Ref


class Section(BaseModel):
    model_config = ConfigDict(
        extra='forbid',
    )
    title: constr(min_length=1)
    metrics: list[Metric]
    notes: list[str]


class SkillReport(BaseModel):
    model_config = ConfigDict(
        extra='forbid',
    )
    id: constr(min_length=1)
    kind: Kind
    market_date: constr(pattern=r'^\d{4}-\d{2}-\d{2}$')
    sections: list[Section]
    skill_version: constr(pattern=r'^\d+\.\d+\.\d+$')
    generated_at: AwareDatetime