mac
48 lines
1.5 KiB
JavaScript
48 lines
1.5 KiB
JavaScript
const test = require("node:test");
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const assert = require("node:assert/strict");
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const { collectUpstreamOutputs } = require("../renderer/canvas-inputs.js");
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function nodeWithConnections(connections) {
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return { inputs: { input_1: { connections } } };
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}
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test("collects text from a connected text node for image prompts", () => {
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const result = collectUpstreamOutputs(
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nodeWithConnections([{ node: 1 }]),
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() => ({ text: "a cinematic desk lamp", image: "" })
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);
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assert.equal(result.text, "a cinematic desk lamp");
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assert.deepEqual(result.images, []);
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});
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test("exposes the first connected image for first-frame video", () => {
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const result = collectUpstreamOutputs(
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nodeWithConnections([{ node: 1 }]),
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() => ({ image: "data:image/png;base64,first" })
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);
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assert.equal(result.image, "data:image/png;base64,first");
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assert.deepEqual(result.images, ["data:image/png;base64,first"]);
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});
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test("keeps every connected image in connection order and removes duplicates", () => {
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const outputs = {
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1: { image: "data:image/png;base64,one" },
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2: { image: "data:image/png;base64,two" },
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3: { image: "data:image/png;base64,one" },
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4: { image: " " },
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};
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const result = collectUpstreamOutputs(
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nodeWithConnections([{ node: 1 }, { node: 2 }, { node: 3 }, { node: 4 }]),
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(id) => outputs[id]
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);
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assert.equal(result.image, "data:image/png;base64,one");
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assert.deepEqual(result.images, [
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"data:image/png;base64,one",
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"data:image/png;base64,two",
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]);
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});
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