xmarre
6cfefb4d60
Release vehicle for Image Conveyor v1.6.0. Adds backend-authoritative main/reference output toggles, a dedicated queue-driven last_frame output, deterministic queue-role snapshots, disabled-branch prompt pruning, append-only saved-node migration, and v1.6.0 release metadata. Validated in live ComfyUI and by the complete GitHub Actions suite.
117 lines
3.5 KiB
JavaScript
117 lines
3.5 KiB
JavaScript
import assert from 'node:assert/strict'
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import test from 'node:test'
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import { disabledReferenceOutputIndexes } from '../web/image_conveyor_reference_branch_pruning_math.mjs'
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import {
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inputRequiredFromNodeDef,
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pruneDisabledOutputBranches
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} from '../web/image_conveyor_reference_toggles_math.mjs'
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test('disabled reference output indexes follow the eight-slot toggle mask', () => {
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assert.deepEqual(
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disabledReferenceOutputIndexes(
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[false, true, false, true, true, true, true, false],
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[6, 7, 8, 9, 10, 11, 12, 13]
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),
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[6, 8, 13]
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)
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})
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test('disabled direct reference link is omitted while Continuum first frame remains active', () => {
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const prompt = {
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'164': { inputs: {}, class_type: 'ImageConveyor' },
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'219': { inputs: {}, class_type: 'LoadImage' },
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'214': {
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inputs: {
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first_frame: ['219', 0],
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reference_image_1: ['164', 6],
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reference_image_2: ['164', 7],
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model: ['300', 0]
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},
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class_type: 'H3ContinuumSamplerTimelineVideo'
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},
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'300': { inputs: {}, class_type: 'ModelLoader' }
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}
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const nodeDefs = {
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H3ContinuumSamplerTimelineVideo: {
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input: {
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required: { model: ['MODEL', {}] },
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optional: {
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first_frame: ['IMAGE', {}],
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reference_image_1: ['IMAGE', {}],
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reference_image_2: ['IMAGE', {}]
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}
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}
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}
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}
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const required = (nodeId, inputName) => {
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const classType = prompt[String(nodeId)]?.class_type
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return inputRequiredFromNodeDef(nodeDefs[classType], inputName) ?? true
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}
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pruneDisabledOutputBranches(
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prompt,
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[{ nodeId: '164', outputIndexes: [6] }],
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required
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)
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assert.deepEqual(prompt['214'].inputs.first_frame, ['219', 0])
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assert.equal(Object.hasOwn(prompt['214'].inputs, 'reference_image_1'), false)
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assert.deepEqual(prompt['214'].inputs.reference_image_2, ['164', 7])
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assert.deepEqual(prompt['214'].inputs.model, ['300', 0])
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assert.ok(prompt['214'])
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})
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test('disabled reference branch prunes required transforms and stops at Continuum optional input', () => {
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const prompt = {
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'164': { inputs: {}, class_type: 'ImageConveyor' },
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'123': {
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inputs: { image: ['164', 6], megapixels: 0.7 },
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class_type: 'ImageScaleToTotalPixelsX'
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},
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'219': { inputs: {}, class_type: 'LoadImage' },
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'214': {
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inputs: {
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first_frame: ['219', 0],
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reference_image_1: ['123', 0],
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model: ['300', 0]
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},
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class_type: 'H3ContinuumSamplerTimelineVideo'
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},
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'300': { inputs: {}, class_type: 'ModelLoader' }
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}
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const nodeDefs = {
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ImageScaleToTotalPixelsX: {
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input: {
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required: { image: ['IMAGE', {}], megapixels: ['FLOAT', {}] },
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optional: {}
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}
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},
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H3ContinuumSamplerTimelineVideo: {
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input: {
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required: { model: ['MODEL', {}] },
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optional: {
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first_frame: ['IMAGE', {}],
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reference_image_1: ['IMAGE', {}]
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}
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}
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}
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}
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const required = (nodeId, inputName) => {
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const classType = prompt[String(nodeId)]?.class_type
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return inputRequiredFromNodeDef(nodeDefs[classType], inputName) ?? true
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}
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pruneDisabledOutputBranches(
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prompt,
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[{ nodeId: '164', outputIndexes: [6] }],
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required
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)
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assert.equal(prompt['123'], undefined)
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assert.equal(Object.hasOwn(prompt['214'].inputs, 'reference_image_1'), false)
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assert.deepEqual(prompt['214'].inputs.first_frame, ['219', 0])
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assert.deepEqual(prompt['214'].inputs.model, ['300', 0])
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assert.ok(prompt['214'])
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})
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