94 lines
2.7 KiB
Python
94 lines
2.7 KiB
Python
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# generated by datamodel-codegen:
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# filename: kpi_report.json
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from __future__ import annotations
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from enum import StrEnum
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from pydantic import AwareDatetime, BaseModel, ConfigDict, Field, conint, constr
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class Window(BaseModel):
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model_config = ConfigDict(
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extra='forbid',
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)
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from_: constr(pattern=r'^\d{4}-\d{2}-\d{2}$') | None = Field(..., alias='from')
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to: constr(pattern=r'^\d{4}-\d{2}-\d{2}$') | None
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days: conint(ge=0, le=9007199254740991)
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class Id(StrEnum):
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FORECAST_LOAD_MAPE = 'FORECAST_LOAD_MAPE'
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FORECAST_PV_NRMSE = 'FORECAST_PV_NRMSE'
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POTENTIAL_ACCURACY = 'POTENTIAL_ACCURACY'
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DECISION_LATENCY_P95_MS = 'DECISION_LATENCY_P95_MS'
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DISPATCH_SUCCESS_RATE = 'DISPATCH_SUCCESS_RATE'
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REVENUE_UPLIFT_VS_HUMAN = 'REVENUE_UPLIFT_VS_HUMAN'
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CROSS_REGION_MATCH = 'CROSS_REGION_MATCH'
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class Comparator(StrEnum):
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LTE = 'LTE'
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GTE = 'GTE'
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class Status(StrEnum):
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MEET = 'MEET'
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MISS = 'MISS'
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NO_DATA = 'NO_DATA'
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NOT_APPLICABLE = 'NOT_APPLICABLE'
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class Kpi(BaseModel):
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model_config = ConfigDict(
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extra='forbid',
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)
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id: Id
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value: constr(pattern=r'^-?\d+(\.\d+)?$') | None
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unit: constr(min_length=1)
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target: constr(pattern=r'^-?\d+(\.\d+)?$') | None
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comparator: Comparator
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samples: conint(ge=0, le=9007199254740991)
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status: Status
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definition: constr(min_length=1)
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class Comparison(BaseModel):
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model_config = ConfigDict(
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extra='forbid',
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)
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shadow_yuan: constr(pattern=r'^-?\d+(\.\d+)?$')
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human_yuan: constr(pattern=r'^-?\d+(\.\d+)?$') | None
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hindsight_yuan: constr(pattern=r'^-?\d+(\.\d+)?$')
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naive_yuan: constr(pattern=r'^-?\d+(\.\d+)?$')
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capture_ratio: constr(pattern=r'^-?\d+(\.\d+)?$') | None
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uplift_vs_naive: constr(pattern=r'^-?\d+(\.\d+)?$') | None
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days_with_human_baseline: conint(ge=0, le=9007199254740991)
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class Shadow(BaseModel):
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model_config = ConfigDict(
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extra='forbid',
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)
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days: conint(ge=0, le=9007199254740991)
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complete_days: conint(ge=0, le=9007199254740991)
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consecutive_complete_days: conint(ge=0, le=9007199254740991)
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first_date: constr(pattern=r'^\d{4}-\d{2}-\d{2}$') | None
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last_date: constr(pattern=r'^\d{4}-\d{2}-\d{2}$') | None
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released_days: conint(ge=0, le=9007199254740991)
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pending_days: conint(ge=0, le=9007199254740991)
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widen_recommendations: conint(ge=0, le=9007199254740991)
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breaker_trips: conint(ge=0, le=9007199254740991)
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class KpiReport(BaseModel):
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model_config = ConfigDict(
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extra='forbid',
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)
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id: constr(min_length=1)
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window: Window
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kpis: list[Kpi]
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comparison: Comparison
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shadow: Shadow
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generated_at: AwareDatetime
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