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When a stage document carries a `deployment` section (#610), the Stages view lists the deployment's capabilities, raw-data retention, cost model with its calibration, and accuracy model next to the workload queries. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
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When a stage document carries a `deployment` section (#610), the Stages view lists the deployment's capabilities, raw-data retention, cost model with its calibration, and accuracy model next to the workload queries. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
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stage_pipeline writes an optional `deployment` section: the executor's capabilities (one entry per summary with its readouts, timing and retention flags, memory budget, raw-data settings), the cost model with its Stage3Calibration, and the accuracy model's name. The Example 1 fixture is regenerated; only the new section changes. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
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Stack: Wave 3 chain: #605 → #607 → #608 → #609 → #610
Rebased on main d4869a7 (DF 54).
Why
#609 adds the deployment inputs to Stage 3, but the
asap-stage-pipeline/v1document does not show which inputs a run used. A reader of a fixture cannot tell why a candidate was rejected for a capability, or which memory weight priced it (C4).What
stage_pipelinewrites a new, optional top-leveldeploymentsection:Supporting changes:
SummarySupport::name()("HydraCms", "exact Sum"), andasap_plan_selection::COST_MODEL, which candidate costsourcestrings now also use.How (Before / After)
workloadandstage0–stage3; the inputs are implicit.deployment. The Example 1 fixture is regenerated, and only this section is added (+100 lines). The 4a document also generates with the section; its fixture lives on feat(dag-viewer): redesign the viewer around the stage pipeline #574.tools/dag-viewer/stages.js/validateStagePipelineis not on this branch, so nothing here validates top-level keys;python3 -m unittest test_renderpasses (29). The section is optional, so the feat(dag-viewer): redesign the viewer around the stage pipeline #574 validator should accept it when present and not require it.summariesis null), plus flags for ingestion time, query-time retention and raw data retained, the memory budget, and bytes per raw sample.cost_per_retained_byte_second) highlighted because it also prices raw retention.deployment(or containsmemory budget) to this panel.Gate:
cargo fmt --check,clippy -D warnings,cargo test --workspace: 1,662 passed, 23 ignored (#609: 1,661 / 23). There is a new devtool test for the section, and the devtool test's temp-file names are made unique, because two tests now generate the same document in parallel.Stacked on #609. Links: #509, #525, #572, #574, #594, #604.
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