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feat: harden Flow cold-start/force-quit and polish macOS dictation UX

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Fix cold-start overlay recursion that overflowed the main-thread stack when
recording began while the ready overlay was still up; also remove temporary
on-screen Flow DEBUG panels after the orange-mic investigation, and land the
macOS overlay/catalog/layout polish plus related Flow recovery hardening.
This commit is contained in:
Rocky
2026-07-10 12:39:41 +08:00
parent dcb66a9849
commit cdf833935a
104 changed files with 5794 additions and 853 deletions
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OSGKeyboardTests/LocalASRModelCatalogTests.swift
+16 -3
View File
@@ -13,7 +13,20 @@ final class LocalASRModelCatalogTests: XCTestCase {
XCTAssertFalse(catalog.models.contains { $0.id == "qwen3-mlx-1.7b" })
XCTAssertTrue(catalog.models.contains { $0.id == "sherpa-qwen3-0.6b-int8" })
XCTAssertTrue(catalog.models.contains { $0.id == "sherpa-qwen3-1.7b-int8" })
XCTAssertTrue(catalog.models.contains { $0.id == "sherpa-paraformer-zh-int8" })
XCTAssertTrue(catalog.models.contains { $0.id == "sherpa-sensevoice-small-int8" })
XCTAssertFalse(catalog.models.contains { $0.id == "sherpa-paraformer-zh-int8" })
XCTAssertEqual(
LocalASRModelCatalog.model("sherpa-sensevoice-small-int8", in: catalog)?.badgeKey,
"mac.localASR.badge.fastest"
)
XCTAssertEqual(
LocalASRModelCatalog.model("sherpa-qwen3-0.6b-int8", in: catalog)?.badgeKey,
"mac.localASR.badge.balanced"
)
XCTAssertEqual(
LocalASRModelCatalog.model("sherpa-qwen3-1.7b-int8", in: catalog)?.badgeKey,
"mac.localASR.badge.quality"
)
}
func testSherpaQwen317BUsesRepositoryInstall() throws {
@@ -32,9 +45,9 @@ final class LocalASRModelCatalogTests: XCTestCase {
XCTAssertTrue(model.supportsHotwords)
}
func testCapabilitiesForParaformer() throws {
func testCapabilitiesForSenseVoice() throws {
let catalog = try LocalASRModelCatalog.loadBundled()
let model = try XCTUnwrap(LocalASRModelCatalog.model("sherpa-paraformer-zh-int8", in: catalog))
let model = try XCTUnwrap(LocalASRModelCatalog.model("sherpa-sensevoice-small-int8", in: catalog))
let caps = LocalASRModelCatalog.capabilities(for: model)
XCTAssertEqual(caps.hotwordMode, .none)
XCTAssertFalse(model.supportsHotwords)