v1.2.0:9 — fuzzy-match AI exercises to the library by name
Both AI flows resolved suggested exercises to the user's library by exact exerciseId only, with no name fallback — so a model returning a good name with a null or invented id (e.g. "Overhead Press" when the library has "Overhead Press (barbell)") forced the user to hand-map an exercise they already own. Common with local models (Qwen via SparkControl) that don't reliably echo library ids. Fix: a shared name matcher (lib/ai/exerciseMatch.ts) normalizes names (lowercase, strip the (barbell)-style qualifier + punctuation) and auto-resolves UNIQUE confident matches; ambiguous or unknown names stay flagged for manual mapping. Wired into both the workout and program generate flows at the parse->display boundary. Client-only; no schema/data change. 274 tests pass; built + sideloaded to immense-voyage.local (1.2.0:9, clean non-root launch).
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@@ -23,6 +23,7 @@ import { v_1_2_0_5 } from './v1.2.0.5'
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import { v_1_2_0_6 } from './v1.2.0.6'
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import { v_1_2_0_7 } from './v1.2.0.7'
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import { v_1_2_0_8 } from './v1.2.0.8'
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import { v_1_2_0_9 } from './v1.2.0.9'
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/**
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* Version graph for the `proof-of-work` package.
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@@ -96,9 +97,12 @@ import { v_1_2_0_8 } from './v1.2.0.8'
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* float values (e.g. a half-step RPE 7.5 from a local model) before
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* the .int() check, so one stray decimal no longer fails the whole
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* generation. Parse-only; no schema/data change.
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* v1.2.0:9 — Fuzzy-match AI exercises to the library by name (both generate
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* flows): "Overhead Press" auto-maps to "Overhead Press (barbell)";
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* ambiguous names stay manual. Client-only; no schema/data change.
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*/
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export const versionGraph = VersionGraph.of({
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current: v_1_2_0_8,
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current: v_1_2_0_9,
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other: [
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v_1_0_0_1,
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v_1_0_0_2,
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@@ -123,5 +127,6 @@ export const versionGraph = VersionGraph.of({
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v_1_2_0_5,
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v_1_2_0_6,
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v_1_2_0_7,
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v_1_2_0_8,
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],
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})
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