vpp-ai-platform/skills-py/vpp_contracts/proposal.py

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# generated by datamodel-codegen:
# filename: proposal.json
from __future__ import annotations
from enum import StrEnum
from typing import Literal
from pydantic import (
AwareDatetime,
BaseModel,
ConfigDict,
Field,
RootModel,
conint,
constr,
)
class Timescale(StrEnum):
ANNUAL = 'ANNUAL'
MONTHLY = 'MONTHLY'
DAY_AHEAD = 'DAY_AHEAD'
INTRADAY = 'INTRADAY'
REALTIME = 'REALTIME'
class Trigger(StrEnum):
MANUAL = 'MANUAL'
EVENT = 'EVENT'
SCHEDULED = 'SCHEDULED'
class Originator(BaseModel):
model_config = ConfigDict(
extra='forbid',
)
agent: constr(min_length=1)
trigger: Trigger
task_id: constr(min_length=1)
class ToolCall(BaseModel):
model_config = ConfigDict(
extra='forbid',
)
tool_call_id: constr(min_length=1)
tool: constr(min_length=1)
version: constr(min_length=1)
inputs_ref: constr(pattern=r'^[0-9a-f]{64}$')
outputs_ref: constr(pattern=r'^[0-9a-f]{64}$')
class Lineage(BaseModel):
model_config = ConfigDict(
extra='forbid',
)
tool_calls: list[ToolCall]
data_refs: list[constr(pattern=r'^[0-9a-f]{64}$')]
ledger_version: conint(ge=0, le=9007199254740991)
policy_pack_version: constr(min_length=1)
class Status(StrEnum):
DRAFT = 'DRAFT'
RULE_CHECK = 'RULE_CHECK'
SIMULATION = 'SIMULATION'
ENVELOPE_CHECK = 'ENVELOPE_CHECK'
PENDING_HUMAN = 'PENDING_HUMAN'
AUTO_APPROVED = 'AUTO_APPROVED'
APPROVED = 'APPROVED'
FRESH_CHECK = 'FRESH_CHECK'
STALE = 'STALE'
AUTHORIZED = 'AUTHORIZED'
RELEASED = 'RELEASED'
EXECUTING = 'EXECUTING'
COMPLETED = 'COMPLETED'
ROLLED_BACK = 'ROLLED_BACK'
REJECTED = 'REJECTED'
class Value(RootModel[constr(pattern=r'^-?\d+(\.\d+)?$')]):
root: constr(pattern=r'^-?\d+(\.\d+)?$')
class PricesYuanPerMwh(BaseModel):
model_config = ConfigDict(
extra='forbid',
)
interval_minutes: Literal[15]
date: constr(pattern=r'^\d{4}-\d{2}-\d{2}$')
values: list[Value] = Field(..., max_length=96, min_length=96)
class QuantitiesMwh(BaseModel):
model_config = ConfigDict(
extra='forbid',
)
interval_minutes: Literal[15]
date: constr(pattern=r'^\d{4}-\d{2}-\d{2}$')
values: list[Value] = Field(..., max_length=96, min_length=96)
class Payload(BaseModel):
model_config = ConfigDict(
extra='forbid',
)
kind: Literal['BID']
market_date: constr(pattern=r'^\d{4}-\d{2}-\d{2}$')
prices_yuan_per_mwh: PricesYuanPerMwh
quantities_mwh: QuantitiesMwh
expected_revenue_yuan: constr(pattern=r'^-?\d+(\.\d+)?$')
class Proposal1(BaseModel):
model_config = ConfigDict(
extra='forbid',
)
id: constr(min_length=1)
timescale: Timescale
originator: Originator
lineage: Lineage
envelope_ref: constr(min_length=1) | None
digest: constr(pattern=r'^[0-9a-f]{64}$')
status: Status
created_at: AwareDatetime
type: Literal['BID']
payload: Payload
M4: resource agent, envelopes live, review loop, insight cards - 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
2026-09-02 19:31:12 -04:00
class Originator1(BaseModel):
model_config = ConfigDict(
extra='forbid',
)
agent: constr(min_length=1)
trigger: Trigger
task_id: constr(min_length=1)
class Lineage1(BaseModel):
model_config = ConfigDict(
extra='forbid',
)
tool_calls: list[ToolCall]
data_refs: list[constr(pattern=r'^[0-9a-f]{64}$')]
ledger_version: conint(ge=0, le=9007199254740991)
policy_pack_version: constr(min_length=1)
class TotalTargetMw(BaseModel):
model_config = ConfigDict(
extra='forbid',
)
interval_minutes: Literal[15]
date: constr(pattern=r'^\d{4}-\d{2}-\d{2}$')
values: list[Value] = Field(..., max_length=96, min_length=96)
class TargetMw(BaseModel):
model_config = ConfigDict(
extra='forbid',
)
interval_minutes: Literal[15]
date: constr(pattern=r'^\d{4}-\d{2}-\d{2}$')
values: list[Value] = Field(..., max_length=96, min_length=96)
class Allocation(BaseModel):
model_config = ConfigDict(
extra='forbid',
)
unit_id: constr(min_length=1)
target_mw: TargetMw
class Payload1(BaseModel):
model_config = ConfigDict(
extra='forbid',
)
kind: Literal['DISPATCH_PLAN']
market_date: constr(pattern=r'^\d{4}-\d{2}-\d{2}$')
award_ref: constr(min_length=1)
total_target_mw: TotalTargetMw
allocations: list[Allocation] = Field(..., min_length=1)
class Proposal2(BaseModel):
model_config = ConfigDict(
extra='forbid',
)
id: constr(min_length=1)
timescale: Timescale
originator: Originator1
lineage: Lineage1
envelope_ref: constr(min_length=1) | None
digest: constr(pattern=r'^[0-9a-f]{64}$')
status: Status
created_at: AwareDatetime
type: Literal['DISPATCH_PLAN']
payload: Payload1
class Proposal(RootModel[Proposal1 | Proposal2]):
root: Proposal1 | Proposal2 = Field(..., title='Proposal')