23fdf49ff2
- packages/domain: AwardNotice, DISPATCH_PLAN proposal payload, ExecutionReport, MeteringRecord, potential-assessment and dispatch-optimization contracts, ReviewFinding (+ typed writebacks), SemanticMemoryEntry, EnvelopeChangeRequest, InsightCard — exported with fixtures on both sides. - skills-py: potential-assessment (certified × rolling fulfilment, evidence days) and dispatch-optimization (per-interval LP on HiGHS, shortfall reported) skills + routes + tests. - packages/services: dispatch rules in the policy pack (over-allocation, award anchor, lineage integrity for allocations); PowerBalanceSimulator; SimulationGateway (permit-only, idempotent, seeded execute → ExecutionReports); envelope deviation-streak suspension + apply(); ReviewService (attribution, reliability EWMA writeback, semantic memory, envelope recommendations as change requests); dispatch assembler; skill client methods. - packages/runtime: resource agent; award-decomposition, review and envelope-review workflows; lifecycle selects simulator/gateway by proposal type; trigger hooks for awards, execution reports, metering; decide() resumes either lifecycle or envelope-review runs; insight cards API. - Tests: docs/07 D-1 16:00 and D+1 end to end; reliability score 0.9 → 0.880 and the next assessment de-rates capacity; envelope suspension on a seeded 3-day streak; WIDEN request applied only by a human. 184 TS + 80 Python. - docs/open-questions: B10 (reliability/potential parameters). README and CLAUDE.md status → M4 done, M5 next. Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01UoYoGYzHkFyv3ALenkRPhA
92 lines
2.4 KiB
Python
92 lines
2.4 KiB
Python
# generated by datamodel-codegen:
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# filename: review_finding.json
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from __future__ import annotations
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from enum import StrEnum
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from typing import Literal
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from pydantic import AwareDatetime, BaseModel, ConfigDict, constr
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class Kind(StrEnum):
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FORECAST = 'FORECAST'
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RESPONSE = 'RESPONSE'
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TRADING = 'TRADING'
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CONTROL = 'CONTROL'
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class Attribution(BaseModel):
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model_config = ConfigDict(
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extra='forbid',
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)
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trading_mwh: constr(pattern=r'^-?\d+(\.\d+)?$')
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control_mwh: constr(pattern=r'^-?\d+(\.\d+)?$')
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response_mwh: constr(pattern=r'^-?\d+(\.\d+)?$')
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forecast_load_mape: constr(pattern=r'^-?\d+(\.\d+)?$') | None
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forecast_price_mape: constr(pattern=r'^-?\d+(\.\d+)?$') | None
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net_deviation_mwh: constr(pattern=r'^-?\d+(\.\d+)?$')
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class Writebacks(BaseModel):
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model_config = ConfigDict(
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extra='forbid',
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)
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target: Literal['SEMANTIC_MEMORY']
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topic: constr(min_length=1)
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lesson: constr(min_length=1)
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class Writebacks1(BaseModel):
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model_config = ConfigDict(
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extra='forbid',
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)
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target: Literal['RESOURCE_PROFILE']
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resource_id: constr(min_length=1)
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previous_reliability_score: constr(pattern=r'^-?\d+(\.\d+)?$')
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new_reliability_score: constr(pattern=r'^-?\d+(\.\d+)?$')
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fulfillment_ratio: constr(pattern=r'^-?\d+(\.\d+)?$')
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class Action(StrEnum):
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WIDEN = 'WIDEN'
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NARROW = 'NARROW'
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SUSPEND = 'SUSPEND'
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KEEP = 'KEEP'
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class Writebacks2(BaseModel):
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model_config = ConfigDict(
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extra='forbid',
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)
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target: Literal['ENVELOPE_RECOMMENDATION']
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envelope_id: constr(min_length=1)
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action: Action
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bound: constr(min_length=1)
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current_value: constr(pattern=r'^-?\d+(\.\d+)?$')
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recommended_value: constr(pattern=r'^-?\d+(\.\d+)?$')
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basis: constr(min_length=1)
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class LineageRef(BaseModel):
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model_config = ConfigDict(
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extra='forbid',
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)
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tool_call_id: constr(min_length=1)
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path: constr(min_length=1)
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class ReviewFinding(BaseModel):
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model_config = ConfigDict(
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extra='forbid',
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)
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id: constr(min_length=1)
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market_date: constr(pattern=r'^\d{4}-\d{2}-\d{2}$')
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kind: Kind
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summary: constr(min_length=1)
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attribution: Attribution
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writebacks: list[Writebacks | Writebacks1 | Writebacks2]
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evidence_refs: list[constr(pattern=r'^[0-9a-f]{64}$')]
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lineage_refs: list[LineageRef]
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generated_at: AwareDatetime
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