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| author | Adam Malczewski <[email protected]> | 2026-06-27 20:49:43 +0900 |
|---|---|---|
| committer | Adam Malczewski <[email protected]> | 2026-06-27 20:49:43 +0900 |
| commit | a59200e786f7d97d7ba5b9cd2bee9ffef531dac2 (patch) | |
| tree | 92088287487e34a9fee37f89325961110b1d3442 /src/features/vision/logic/view-model.test.ts | |
| parent | a9ca756de8cd023c0f2cb9954f344fff11146bc2 (diff) | |
| parent | b70ae547fdcb8c1794981957485537dc21a8b5fd (diff) | |
| download | dispatch-web-a59200e786f7d97d7ba5b9cd2bee9ffef531dac2.tar.gz dispatch-web-a59200e786f7d97d7ba5b9cd2bee9ffef531dac2.zip | |
Merge branch 'feature/vision-handoff' into dev
# Conflicts:
# .dispatch/transport-contract.reference.md
# backend-handoff.md
# src/app/App.svelte
# src/features/chat/ui/Composer.svelte
Diffstat (limited to 'src/features/vision/logic/view-model.test.ts')
| -rw-r--r-- | src/features/vision/logic/view-model.test.ts | 198 |
1 files changed, 198 insertions, 0 deletions
diff --git a/src/features/vision/logic/view-model.test.ts b/src/features/vision/logic/view-model.test.ts new file mode 100644 index 0000000..b1db822 --- /dev/null +++ b/src/features/vision/logic/view-model.test.ts @@ -0,0 +1,198 @@ +import type { ModelMetadata } from "@dispatch/transport-contract"; +import { describe, expect, it } from "vitest"; +import { + AUTO_COMPACTION_MODEL, + compactionModelChanged, + compactionModelFromValue, + compactionModelOptions, + DEFAULT_IMAGE_LIMIT, + imageLimitChanged, + imageLimitLabel, + MAX_IMAGE_LIMIT, + normalizeVisionSettings, + parseImageLimit, + selectedCompactionValue, +} from "./view-model"; + +describe("normalizeVisionSettings", () => { + it("returns the value as-is for a well-formed body", () => { + expect(normalizeVisionSettings({ imageLimit: 5, compactionModel: "kimi/k2" })).toEqual({ + imageLimit: 5, + compactionModel: "kimi/k2", + }); + }); + + it("coerces a null compactionModel to null", () => { + expect(normalizeVisionSettings({ imageLimit: 10, compactionModel: null })).toEqual({ + imageLimit: 10, + compactionModel: null, + }); + }); + + it("defaults imageLimit when absent or non-numeric", () => { + expect(normalizeVisionSettings({ compactionModel: "kimi/k2" })).toEqual({ + imageLimit: DEFAULT_IMAGE_LIMIT, + compactionModel: "kimi/k2", + }); + expect(normalizeVisionSettings({ imageLimit: "oops", compactionModel: null })).toEqual({ + imageLimit: DEFAULT_IMAGE_LIMIT, + compactionModel: null, + }); + }); + + it("floors a fractional imageLimit", () => { + expect(normalizeVisionSettings({ imageLimit: 7.9, compactionModel: null }).imageLimit).toBe(7); + }); + + it("defaults for a null/non-object body (never crashes)", () => { + expect(normalizeVisionSettings(null)).toEqual({ + imageLimit: DEFAULT_IMAGE_LIMIT, + compactionModel: null, + }); + expect(normalizeVisionSettings("nope")).toEqual({ + imageLimit: DEFAULT_IMAGE_LIMIT, + compactionModel: null, + }); + }); + + it("treats a negative imageLimit as the default", () => { + expect(normalizeVisionSettings({ imageLimit: -3, compactionModel: null }).imageLimit).toBe( + DEFAULT_IMAGE_LIMIT, + ); + }); + + it("treats an empty compactionModel string as null", () => { + expect( + normalizeVisionSettings({ imageLimit: 10, compactionModel: "" }).compactionModel, + ).toBeNull(); + }); +}); + +describe("parseImageLimit", () => { + it("parses a non-negative integer", () => { + expect(parseImageLimit("5")).toEqual({ ok: true, value: 5 }); + expect(parseImageLimit("0")).toEqual({ ok: true, value: 0 }); + }); + + it("floors a fractional value", () => { + expect(parseImageLimit("7.9")).toEqual({ ok: true, value: 7 }); + }); + + it("trims whitespace", () => { + expect(parseImageLimit(" 12 ")).toEqual({ ok: true, value: 12 }); + }); + + it("errors on empty input", () => { + expect(parseImageLimit("")).toEqual({ ok: false, error: "Enter a number." }); + }); + + it("errors on non-numeric input", () => { + expect(parseImageLimit("lots").ok).toBe(false); + }); + + it("errors on a negative value", () => { + expect(parseImageLimit("-1").ok).toBe(false); + }); + + it("errors when above the max", () => { + expect(parseImageLimit(String(MAX_IMAGE_LIMIT + 1)).ok).toBe(false); + }); + + it("accepts the max", () => { + expect(parseImageLimit(String(MAX_IMAGE_LIMIT))).toEqual({ ok: true, value: MAX_IMAGE_LIMIT }); + }); +}); + +describe("imageLimitChanged", () => { + it("is true when the typed value differs after normalization", () => { + expect(imageLimitChanged("5", 10)).toBe(true); + }); + + it("is false when equal", () => { + expect(imageLimitChanged("10", 10)).toBe(false); + }); + + it("is false for invalid input", () => { + expect(imageLimitChanged("abc", 10)).toBe(false); + expect(imageLimitChanged("", 10)).toBe(false); + }); + + it("compares after flooring", () => { + expect(imageLimitChanged("7.9", 7)).toBe(false); + }); +}); + +describe("compactionModelOptions", () => { + const modelInfo: Record<string, ModelMetadata> = { + "kimi/k2": { vision: true }, + "kimi/k1.5": { vision: true }, + "umans/glm-5.2": { vision: false }, + "openai/gpt-4": { contextWindow: 128000 }, + }; + + it("includes the Auto option first", () => { + const opts = compactionModelOptions([], {}); + expect(opts).toHaveLength(1); + expect(opts[0]?.auto).toBe(true); + expect(opts[0]?.value).toBe(AUTO_COMPACTION_MODEL); + }); + + it("includes only vision-capable models, in catalog order", () => { + const models = ["umans/glm-5.2", "kimi/k2", "openai/gpt-4", "kimi/k1.5"]; + const opts = compactionModelOptions(models, modelInfo); + expect(opts.map((o) => o.label)).toEqual(["Auto (server-selected)", "kimi/k2", "kimi/k1.5"]); + }); + + it("excludes non-vision models even with metadata present", () => { + const opts = compactionModelOptions(["umans/glm-5.2"], modelInfo); + expect(opts).toHaveLength(1); // only Auto + }); +}); + +describe("compactionModel value round-trip", () => { + it("selectedCompactionValue maps null to the auto sentinel", () => { + expect(selectedCompactionValue(null)).toBe(AUTO_COMPACTION_MODEL); + }); + + it("selectedCompactionValue maps a model name to itself", () => { + expect(selectedCompactionValue("kimi/k2")).toBe("kimi/k2"); + }); + + it("compactionModelFromValue maps the auto sentinel back to null", () => { + expect(compactionModelFromValue(AUTO_COMPACTION_MODEL)).toBeNull(); + }); + + it("compactionModelFromValue maps a model name to itself", () => { + expect(compactionModelFromValue("kimi/k2")).toBe("kimi/k2"); + }); +}); + +describe("compactionModelChanged", () => { + it("is true when the value maps to a different model", () => { + expect(compactionModelChanged("kimi/k2", null)).toBe(true); + expect(compactionModelChanged(AUTO_COMPACTION_MODEL, "kimi/k2")).toBe(true); + }); + + it("is false when equal (null vs auto, or same model)", () => { + expect(compactionModelChanged(AUTO_COMPACTION_MODEL, null)).toBe(false); + expect(compactionModelChanged("kimi/k2", "kimi/k2")).toBe(false); + }); +}); + +describe("imageLimitLabel", () => { + it("labels null as loading", () => { + expect(imageLimitLabel(null)).toBe("Loading…"); + }); + + it("labels 0 as disabled", () => { + expect(imageLimitLabel(0)).toBe("0 (compaction disabled)"); + }); + + it("labels the default with (default)", () => { + expect(imageLimitLabel(DEFAULT_IMAGE_LIMIT)).toBe(`${DEFAULT_IMAGE_LIMIT} (default)`); + }); + + it("labels other values plainly", () => { + expect(imageLimitLabel(7)).toBe("7"); + }); +}); |
