- tools/flowgen.py: generates docs/workflows/<name>.md — one outcome-first mermaid flowchart per workflow the SDK tests (hpmcu watchdog, modbus read, cru ladder, rga offload, relay drive, freshness contract), each stamped with its benchmark ns/op or 100% MC/DC result. Deterministic; reads the cargo-bench trend json. - drivers/README.md: honest Tier-1 (relays + freshness, 100% MC/DC here now) vs Tier-2 (modbus/rga — serious testing + fault-injection + benchmarks via sim models; driver sources migrate in with the flare-edge unification) per ADR-0002/0005. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_017wB8KB3MMQztRDXCMCkPrf
20 lines
537 B
Markdown
20 lines
537 B
Markdown
# UI freshness contract (Tier-1, 100% MC/DC)
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> **Outcome tested:** The UI never shows a stale number: it holds briefly, then marks unknown.
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**Coverage**: freshness.c — 66/66 conditions, 100% MC/DC (CI-enforced)
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```mermaid
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flowchart TD
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A[produce] --> B{result}
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B -- OK --> V[render value, save last]
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B -- SAME --> C{showing unknown?}
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C -- yes --> V
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C -- no --> N[no change]
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B -- UNKNOWN --> D{ever had a value?}
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D -- no --> U[render UNKNOWN mark]
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D -- yes --> E{age > max_stale?}
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E -- yes --> U
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E -- no --> N
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```
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