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

from __future__ import annotations

from enum import StrEnum

from pydantic import AwareDatetime, BaseModel, ConfigDict, Field, conint, constr


class Window(BaseModel):
    model_config = ConfigDict(
        extra='forbid',
    )
    from_: constr(pattern=r'^\d{4}-\d{2}-\d{2}$') | None = Field(..., alias='from')
    to: constr(pattern=r'^\d{4}-\d{2}-\d{2}$') | None
    days: conint(ge=0, le=9007199254740991)


class Id(StrEnum):
    FORECAST_LOAD_MAPE = 'FORECAST_LOAD_MAPE'
    FORECAST_PV_NRMSE = 'FORECAST_PV_NRMSE'
    POTENTIAL_ACCURACY = 'POTENTIAL_ACCURACY'
    DECISION_LATENCY_P95_MS = 'DECISION_LATENCY_P95_MS'
    DISPATCH_SUCCESS_RATE = 'DISPATCH_SUCCESS_RATE'
    REVENUE_UPLIFT_VS_HUMAN = 'REVENUE_UPLIFT_VS_HUMAN'
    CROSS_REGION_MATCH = 'CROSS_REGION_MATCH'


class Comparator(StrEnum):
    LTE = 'LTE'
    GTE = 'GTE'


class Status(StrEnum):
    MEET = 'MEET'
    MISS = 'MISS'
    NO_DATA = 'NO_DATA'
    NOT_APPLICABLE = 'NOT_APPLICABLE'


class Kpi(BaseModel):
    model_config = ConfigDict(
        extra='forbid',
    )
    id: Id
    value: constr(pattern=r'^-?\d+(\.\d+)?$') | None
    unit: constr(min_length=1)
    target: constr(pattern=r'^-?\d+(\.\d+)?$') | None
    comparator: Comparator
    samples: conint(ge=0, le=9007199254740991)
    status: Status
    definition: constr(min_length=1)


class Comparison(BaseModel):
    model_config = ConfigDict(
        extra='forbid',
    )
    shadow_yuan: constr(pattern=r'^-?\d+(\.\d+)?$')
    human_yuan: constr(pattern=r'^-?\d+(\.\d+)?$') | None
    hindsight_yuan: constr(pattern=r'^-?\d+(\.\d+)?$')
    naive_yuan: constr(pattern=r'^-?\d+(\.\d+)?$')
    capture_ratio: constr(pattern=r'^-?\d+(\.\d+)?$') | None
    uplift_vs_naive: constr(pattern=r'^-?\d+(\.\d+)?$') | None
    days_with_human_baseline: conint(ge=0, le=9007199254740991)


class Shadow(BaseModel):
    model_config = ConfigDict(
        extra='forbid',
    )
    days: conint(ge=0, le=9007199254740991)
    complete_days: conint(ge=0, le=9007199254740991)
    consecutive_complete_days: conint(ge=0, le=9007199254740991)
    first_date: constr(pattern=r'^\d{4}-\d{2}-\d{2}$') | None
    last_date: constr(pattern=r'^\d{4}-\d{2}-\d{2}$') | None
    released_days: conint(ge=0, le=9007199254740991)
    pending_days: conint(ge=0, le=9007199254740991)
    widen_recommendations: conint(ge=0, le=9007199254740991)
    breaker_trips: conint(ge=0, le=9007199254740991)


class KpiReport(BaseModel):
    model_config = ConfigDict(
        extra='forbid',
    )
    id: constr(min_length=1)
    window: Window
    kpis: list[Kpi]
    comparison: Comparison
    shadow: Shadow
    generated_at: AwareDatetime