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
245 lines
4.6 KiB
JSON
245 lines
4.6 KiB
JSON
{
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"id": "prop-002",
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"type": "DISPATCH_PLAN",
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"timescale": "DAY_AHEAD",
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"originator": {
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"agent": "resource-agent",
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"trigger": "EVENT",
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"task_id": "task-002"
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},
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"payload": {
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"kind": "DISPATCH_PLAN",
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"market_date": "2026-03-15",
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"award_ref": "award-2026-03-15",
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"total_target_mw": {
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"interval_minutes": 15,
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"date": "2026-03-15",
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"allocations": [
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"unit_id": "agg-unit-wuhan-01",
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"target_mw": {
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}
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}
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]
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},
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"lineage": {
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"tool_calls": [
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{
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"tool_call_id": "tc-002",
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"tool": "dispatch-optimization",
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"version": "1.0.0",
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"inputs_ref": "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
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"outputs_ref": "cccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccc"
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}
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],
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"data_refs": [
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],
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"ledger_version": 43,
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"policy_pack_version": "2026.03"
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},
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"envelope_ref": null,
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"digest": "cccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccc",
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"status": "DRAFT",
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"created_at": "2026-03-14T08:30:00Z"
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}
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