feat(*): 创作配置 - 支持 Midjourney、多图保存与自定义公告

Co-authored-by: ddcat666 <26564566+ddcat666@users.noreply.github.com>

web/test/model-capabilities.test.ts

@@ -2,7 +2,8 @@ import assert from "node:assert/strict";
 import test from "node:test";
 
 // Bun 直接执行 TypeScript 测试时需要保留扩展名；生产 tsconfig 不包含 test/。
-import { DEFAULT_VIDEO_PROMPT_MAX_CHARS, defaultModelCapabilityConfig, normalizeVideoValue } from "../src/lib/model-capabilities.ts";
+import { DEFAULT_VIDEO_PROMPT_MAX_CHARS, defaultModelCapabilityConfig, normalizeImageValue, normalizeVideoValue } from "../src/lib/model-capabilities.ts";
+import { imageTierAvailable } from "../src/lib/image-size-presets.ts";
 
 test("text multimodal capability is not guessed from a model name", () => {
     for (const model of ["gpt-4o", "gemini-2.5-pro", "doubao-seed"]) {
@@ -39,3 +40,58 @@ test("raising the video default leaves text and image limits untouched", () => {
     assert.equal(profile.text!.references.promptMaxChars, 32000);
     assert.equal(profile.image!.references.promptMaxChars, 32000);
 });
+
+test("Midjourney protocol defaults expose only supported controls and one submission", () => {
+    for (const [protocol, model, tier, maxImages, mask, promptMaxChars, ratios] of [
+        ["cangyuan-midjourney-v7", "midjourney-v7", "1k", 5, false, 4000, 10],
+        ["cangyuan-midjourney-v82", "midjourney-1k", "1k", 1, true, 32000, 15],
+        ["cangyuan-midjourney-v82", "midjourney-2k", "2k", 1, true, 32000, 15],
+        ["cangyuan-midjourney-v82", "", "1k", 1, true, 32000, 15],
+    ] as const) {
+        const image = defaultModelCapabilityConfig(protocol, model).image!;
+        assert.equal(image.references.maxImages, maxImages);
+        assert.equal(image.references.maskSupported, mask);
+        assert.equal(image.references.promptMaxChars, promptMaxChars);
+        assert.equal(image.maxOutputs, 1);
+        assert.equal(image.quality.supported, false);
+        assert.equal(image.transparentBackground.supported, false);
+        assert.equal(image.responseFormat.supported, false);
+        assert.equal(image.outputFormat.supported, false);
+        assert.equal(image.size.parameter, "aspect_ratio");
+        assert.equal(image.size.default, "auto");
+        assert.equal(image.size.allowCustom, false);
+        assert.equal(image.size.presets!.length, ratios);
+        assert.equal(image.size.values.length, ratios + 1);
+        assert.equal(imageTierAvailable(image, tier), true);
+        assert.equal(imageTierAvailable(image, tier === "1k" ? "2k" : "1k"), false);
+        assert.equal(imageTierAvailable(image, "4k"), false);
+        assert.deepEqual(normalizeImageValue(image, { size: "16:9", quality: "high", transparentBackground: "true", count: "4" }), { size: "16:9", quality: tier, transparentBackground: "false", count: "1" });
+    }
+});
+
+test("Kacang protocol selection uses the supplier ratio and reference contracts", () => {
+    for (const [protocol, ratio, maxImages, presets, auto] of [
+        ["kacang-midjourney-special", "16:9", 1, 10, false],
+        ["kacang-midjourney-v7", "16:9", 1, 11, true],
+        ["kacang-midjourney", "9:16", 5, 11, true],
+    ] as const) {
+        const image = defaultModelCapabilityConfig(protocol).image!;
+        assert.equal(image.references.maxImages, maxImages);
+        assert.equal(image.references.maskSupported, false);
+        assert.equal(image.size.default, ratio);
+        assert.equal(image.size.values.includes("auto"), auto);
+        assert.equal(image.size.presets!.length, presets);
+        for (const preset of image.size.presets!) assert.ok(image.size.values.includes(preset.ratio), `${protocol}: preset ${preset.ratio} must be an upstream-supported value`);
+        if (auto) assert.ok(image.size.presets!.some((preset) => preset.ratio === "9:21"));
+        assert.equal(image.maxOutputs, 1);
+        assert.equal(image.size.allowCustom, false);
+        assert.equal(image.quality.supported, false);
+        assert.equal(image.responseFormat.supported, false);
+        assert.equal(image.transparentBackground.supported, false);
+        assert.equal(image.outputFormat.supported, false);
+        assert.equal(imageTierAvailable(image, "1k"), true);
+        assert.equal(imageTierAvailable(image, "2k"), false);
+        assert.equal(imageTierAvailable(image, "4k"), false);
+        assert.deepEqual(normalizeImageValue(image, { size: "bad", quality: "high", transparentBackground: "true", count: "4" }), { size: ratio, quality: "1k", transparentBackground: "false", count: "1" });
+    }
+});