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
69 lines
1.8 KiB
Python
69 lines
1.8 KiB
Python
# generated by datamodel-codegen:
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# filename: potential_assessment_request.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 Type(StrEnum):
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STORAGE = 'STORAGE'
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PV = 'PV'
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EV_CHARGER = 'EV_CHARGER'
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HVAC = 'HVAC'
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INDUSTRIAL_LOAD = 'INDUSTRIAL_LOAD'
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MICROGRID = 'MICROGRID'
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BASE_STATION = 'BASE_STATION'
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class Constraints(BaseModel):
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model_config = ConfigDict(
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extra='forbid',
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)
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min_duration_min: conint(le=9007199254740991, gt=0) | None
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recovery_rate_mw_per_min: constr(pattern=r'^-?\d+(\.\d+)?$') | None
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class Profile(BaseModel):
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model_config = ConfigDict(
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extra='forbid',
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)
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resource_id: constr(min_length=1)
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name: constr(min_length=1)
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type: Type
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rated_power_mw: constr(pattern=r'^-?\d+(\.\d+)?$')
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certified_adjustable_mw: constr(pattern=r'^-?\d+(\.\d+)?$')
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confidence: constr(pattern=r'^-?\d+(\.\d+)?$')
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reliability_score: constr(pattern=r'^-?\d+(\.\d+)?$')
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constraints: Constraints
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evidence_refs: list[constr(pattern=r'^[0-9a-f]{64}$')]
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updated_at: AwareDatetime
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class FulfillmentItem(BaseModel):
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model_config = ConfigDict(
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extra='forbid',
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)
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market_date: constr(pattern=r'^\d{4}-\d{2}-\d{2}$')
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planned_mwh: constr(pattern=r'^-?\d+(\.\d+)?$')
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delivered_mwh: constr(pattern=r'^-?\d+(\.\d+)?$')
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class Resource(BaseModel):
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model_config = ConfigDict(
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extra='forbid',
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)
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profile: Profile
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fulfillment: list[FulfillmentItem]
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class PotentialAssessmentRequest(BaseModel):
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model_config = ConfigDict(
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extra='forbid',
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)
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market_date: constr(pattern=r'^\d{4}-\d{2}-\d{2}$')
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resources: list[Resource] = Field(..., min_length=1)
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features_snapshot_ref: constr(pattern=r'^[0-9a-f]{64}$')
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