54 lines
1.2 KiB
Python
54 lines
1.2 KiB
Python
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# generated by datamodel-codegen:
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# filename: skill_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, constr
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class Kind(StrEnum):
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DAY_AHEAD_BID_SUMMARY = 'DAY_AHEAD_BID_SUMMARY'
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FORECAST_EVAL = 'FORECAST_EVAL'
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BID_BACKTEST = 'BID_BACKTEST'
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class Ref(BaseModel):
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model_config = ConfigDict(
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extra='forbid',
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)
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tool_call_id: constr(min_length=1)
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path: constr(min_length=1)
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class Metric(BaseModel):
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model_config = ConfigDict(
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extra='forbid',
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)
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name: constr(min_length=1)
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value: constr(pattern=r'^-?\d+(\.\d+)?$')
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unit: constr(min_length=1)
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ref: Ref
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class Section(BaseModel):
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model_config = ConfigDict(
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extra='forbid',
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)
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title: constr(min_length=1)
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metrics: list[Metric]
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notes: list[str]
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class SkillReport(BaseModel):
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model_config = ConfigDict(
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extra='forbid',
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)
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id: constr(min_length=1)
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kind: Kind
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market_date: constr(pattern=r'^\d{4}-\d{2}-\d{2}$')
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sections: list[Section]
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skill_version: constr(pattern=r'^\d+\.\d+\.\d+$')
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generated_at: AwareDatetime
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