vpp-ai-platform/skills-py/vpp_contracts/situation_report.py
stewart hu f681e134cc M1: domain schemas, contracts pipeline, ledger and snapshot services
- packages/domain: zod schemas for the 07-scenario object set with a
  schemaRegistry driving schema export, fixture generation, and Python
  module naming; decimal-string/sha256/curve primitives enforce the
  docs/11 §3.3 representation rules at the type layer
- contracts/: 12 JSON Schemas (draft 2020-12), 12 golden fixtures, 3
  invalid fixtures crafted to fail on both sides (float money, bad
  digest, missing concurrency version)
- skills-py: generated pydantic models (committed, never hand-edited),
  regeneration script, mirror pytest using JSON-mode validation —
  dual-side contract tests agree on all 15 fixtures
- packages/services: content-addressed immutable snapshot store
  (memory + fs, rejects floats), LedgerService v1 with optimistic
  concurrency and the P7 constraint cascade (monthly position bounds
  day-ahead bids; no-anchor bids rejected), quality-gate stub
- cascade band shape is an OPEN-QUESTION A5 placeholder (pro-rata
  daily share ±band) — see ledger.ts checkCascade

All green: tsc typecheck, 41 TS tests, 15 Python tests.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_019u5SLNweVio6ozJX7yfxQr

🔮 View transcript: https://logs.lojong.info/s/e8u90k3t33w590r7b5y7yzqh
2026-09-01 21:50:22 -04:00

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927 B
Python

# generated by datamodel-codegen:
# filename: situation_report.json
from __future__ import annotations
from enum import StrEnum
from pydantic import AwareDatetime, BaseModel, ConfigDict, constr
class RiskLevel(StrEnum):
LOW = 'LOW'
MEDIUM = 'MEDIUM'
HIGH = 'HIGH'
EXTREME = 'EXTREME'
class Kind(StrEnum):
TREND = 'TREND'
ANOMALY = 'ANOMALY'
RISK = 'RISK'
ATTRIBUTION = 'ATTRIBUTION'
class Finding(BaseModel):
model_config = ConfigDict(
extra='forbid',
)
kind: Kind
summary: constr(min_length=1)
refs: list[constr(pattern=r'^[0-9a-f]{64}$')]
class SituationReport(BaseModel):
model_config = ConfigDict(
extra='forbid',
)
id: constr(min_length=1)
market_date: constr(pattern=r'^\d{4}-\d{2}-\d{2}$')
risk_level: RiskLevel
findings: list[Finding]
forecast_refs: list[constr(min_length=1)]
generated_at: AwareDatetime