chore: reduce design pipeline to runtime asset checks

This commit is contained in:
2026-08-12 18:24:40 +08:00
parent 964262f693
commit 5dabcd175e
30 changed files with 106 additions and 1698 deletions
@@ -17,24 +17,24 @@
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@@ -42,16 +42,44 @@
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"imports": [],
"assets": [
{ "id": "shared-scroll-primary-v3", "output": "static/assets/foundation/transparent/scroll-primary.png", "width": 1866, "height": 276, "alpha": true, "bytes": 576876, "sha256": "2181fece4d1743aa55b919c38ed1cb31662d8d2588f16e2dabb236e24d094040", "provenance": "committed-binary", "rebuildable": false },
{ "id": "shared-scroll-secondary-v3", "output": "static/assets/foundation/transparent/scroll-secondary.png", "width": 1866, "height": 300, "alpha": true, "bytes": 661030, "sha256": "52b8c16968e96cf457b227a3026ea9aed2b2a7b3d01ad56d409eb6b7504fc195", "provenance": "committed-binary", "rebuildable": false },
{ "id": "shared-scroll-toast-v3", "output": "static/assets/foundation/transparent/scroll-toast.png", "width": 1770, "height": 246, "alpha": true, "bytes": 468063, "sha256": "e08bdcb1ab3707762306bc23386f91562798d4efd5a5a917c3e9958fcfa7ddfc", "provenance": "committed-binary", "rebuildable": false },
{ "id": "shared-scroll-dialog-v3", "output": "static/assets/modules/auth/transparent/dialog-scroll.png", "width": 1860, "height": 1560, "alpha": true, "bytes": 355747, "sha256": "dfd0b122447e3a33737a4788efd7be35a2fca937ce600b1e8b14d12c7a9b77fa", "provenance": "committed-binary", "rebuildable": false },
{ "id": "genealogy-page-background-long", "output": "static/assets/modules/genealogy/opaque/genealogy-page-background-long.png", "width": 1440, "height": 3600, "alpha": false, "bytes": 5756868, "sha256": "61b0d1324467e44a8eaaf9fc9609058bae153ef51a91f0be9f9a6ea95175760b", "provenance": "committed-binary", "rebuildable": false },
{ "id": "tree-page-background-long", "output": "static/assets/modules/tree/opaque/tree-page-background-long.png", "width": 1440, "height": 3600, "alpha": false, "bytes": 5298030, "sha256": "de71ce6640a9d67c76d187a82a93ba12a2dbe4c6e1c5aa7eee2b617085967e5f", "provenance": "committed-binary", "rebuildable": false },
{ "id": "family-page-background-long", "output": "static/assets/modules/family/opaque/family-page-background-long.png", "width": 1440, "height": 3600, "alpha": false, "bytes": 5387684, "sha256": "a27d12319ec7adad117ab6536c4f0dd38420dfd4c01fd1dee9ea106a2fd1a971", "provenance": "committed-binary", "rebuildable": false },
{ "id": "records-page-background-long", "output": "static/assets/modules/records/opaque/records-page-background-long.png", "width": 1440, "height": 3600, "alpha": false, "bytes": 5295616, "sha256": "ee3455372b3754fcc19b409ee682efcce07ab7628bca382bb8b6ce87f38e7ec4", "provenance": "committed-binary", "rebuildable": false },
{ "id": "notification-page-background-long", "output": "static/assets/modules/notification/opaque/notification-page-background-long.png", "width": 1440, "height": 3600, "alpha": false, "bytes": 4802510, "sha256": "b7bd37b23141b30c4921690d8156576de314f1a53750ae06c0b72fe55dfa6427", "provenance": "committed-binary", "rebuildable": false },
{ "id": "profile-page-background-long", "output": "static/assets/modules/profile/opaque/profile-page-background-long.png", "width": 1440, "height": 3600, "alpha": false, "bytes": 5373757, "sha256": "6b344014aad20f1ecaa14e236fc2aa9febb2ce9f3206fa53eea2523fc5e2094b", "provenance": "committed-binary", "rebuildable": false },
{ "id": "g01-empty-panel-frame", "output": "static/assets/modules/genealogy/transparent/empty-panel-frame.png", "width": 1122, "height": 1402, "alpha": true, "bytes": 74974, "sha256": "cce62602f9dc25cb9ff1ebf555efe20489513db55e2c5d0e3f762a6f11d7aa48", "provenance": "committed-binary", "rebuildable": false }
]
}
@@ -5,9 +5,7 @@
"imports": [
"design-pipeline/manifests/auth-runtime-assets.json",
"design-pipeline/manifests/application-runtime-assets.json",
"design-pipeline/manifests/shared-scroll-skins-v3.json",
"design-pipeline/manifests/page-backgrounds-v3.json",
"design-pipeline/manifests/g01-state-frame-v3.json"
"design-pipeline/manifests/retained-generated-runtime-assets.json"
],
"assets": []
}
@@ -1,51 +0,0 @@
{
"schemaVersion": 3,
"kind": "asset-build-manifest",
"family": "shared-scroll-skins-v3",
"assets": [
{
"id": "shared-scroll-primary-v3",
"source": "docs/design/assets/a01-vnext/masters/a01-scroll-primary-master-v3.png",
"output": "static/assets/foundation/transparent/a01-scroll-primary-v3.png",
"sourcePixels": { "width": 2172, "height": 724 },
"outputPixels": { "width": 1866, "height": 276 },
"alpha": { "required": true, "transparentOuterPadding": 6, "cornerMaxAlpha": 0 },
"edge": { "forbidChromaResidue": true, "forbidLightFringe": true, "premultipliedAlphaCheck": true },
"quality": { "maxBytes": 1800000, "colorSpace": "sRGB" },
"processing": { "mode": "chroma-stretch", "capWidth": 380, "keyColor": "#00FF00", "keyTolerance": 96 }
},
{
"id": "shared-scroll-secondary-v3",
"source": "docs/design/assets/a01-vnext/masters/a01-scroll-secondary-master-v3.png",
"output": "static/assets/foundation/transparent/a01-scroll-secondary-v3.png",
"sourcePixels": { "width": 2172, "height": 724 },
"outputPixels": { "width": 1866, "height": 300 },
"alpha": { "required": true, "transparentOuterPadding": 6, "cornerMaxAlpha": 0 },
"edge": { "forbidChromaResidue": true, "forbidLightFringe": true, "premultipliedAlphaCheck": true },
"quality": { "maxBytes": 1800000, "colorSpace": "sRGB" },
"processing": { "mode": "chroma-stretch", "capWidth": 380, "keyColor": "#00FF00", "keyTolerance": 96 }
},
{
"id": "shared-scroll-toast-v3",
"source": "docs/design/assets/a01-vnext/masters/a01-scroll-toast-master-v3.png",
"output": "static/assets/foundation/transparent/a01-scroll-toast-v3.png",
"sourcePixels": { "width": 2172, "height": 724 },
"outputPixels": { "width": 1770, "height": 246 },
"alpha": { "required": true, "transparentOuterPadding": 6, "cornerMaxAlpha": 0 },
"edge": { "forbidChromaResidue": true, "forbidLightFringe": true, "premultipliedAlphaCheck": true },
"quality": { "maxBytes": 1600000, "colorSpace": "sRGB" },
"processing": { "mode": "chroma-stretch", "capWidth": 340, "keyColor": "#00FF00", "keyTolerance": 96 }
},
{
"id": "shared-scroll-dialog-v3",
"source": "docs/design/assets/a01-vnext/masters/a01-scroll-dialog-master-v3-r2.png",
"output": "static/assets/modules/auth/transparent/a01-scroll-dialog-v3.png",
"sourcePixels": { "width": 1370, "height": 1148 },
"outputPixels": { "width": 1860, "height": 1560 },
"alpha": { "required": true, "transparentOuterPadding": 6, "cornerMaxAlpha": 0 },
"edge": { "forbidChromaResidue": true, "forbidLightFringe": true, "premultipliedAlphaCheck": true },
"quality": { "maxBytes": 3000000, "colorSpace": "sRGB" },
"processing": { "mode": "chroma-stretch", "capWidth": 260, "keyColor": "#00FF00", "keyTolerance": 96, "paletteColors": 128, "indexedPng": true }
}
]
}
+2 -10
View File
@@ -3,16 +3,8 @@
"private": true,
"type": "module",
"scripts": {
"test": "npm run test:node && npm run test:python",
"test:node": "node --test tests/*.test.mjs",
"test:python": "node scripts/run-python-tests.mjs",
"validate:shared-scroll-skins": "node scripts/validate-asset-build-manifest.mjs design-pipeline/manifests/shared-scroll-skins-v3.json",
"validate:page-backgrounds": "node scripts/validate-asset-build-manifest.mjs design-pipeline/manifests/page-backgrounds-v3.json",
"validate:g01-state-frame": "node scripts/validate-asset-build-manifest.mjs design-pipeline/manifests/g01-state-frame-v3.json",
"test": "node --test tests/*.test.mjs",
"validate:runtime-assets": "node scripts/validate-runtime-asset-inventory.mjs design-pipeline/manifests/runtime-assets.json",
"build:shared-scroll-skins": "node scripts/build-shared-scroll-skins.mjs",
"verify:shared-scroll-skins": "node scripts/verify-shared-scroll-skins.mjs",
"build:page-backgrounds": "node scripts/build-raster-assets.mjs design-pipeline/manifests/page-backgrounds-v3.json",
"build:g01-state-frame": "node scripts/build-raster-assets.mjs design-pipeline/manifests/g01-state-frame-v3.json"
"check": "npm test && npm run validate:runtime-assets"
}
}
-1
View File
@@ -1 +0,0 @@
Pillow==12.3.0
@@ -1,196 +0,0 @@
import path from 'node:path'
const assertOnlyFields = (value, fields, label) => {
for (const field of Object.keys(value)) {
if (!fields.has(field)) throw new Error(`${label} contains unknown field: ${field}`)
}
}
const requireObject = (value, label) => {
if (!value || typeof value !== 'object' || Array.isArray(value)) {
throw new Error(`${label} must be an object`)
}
return value
}
const requireString = (value, label) => {
if (typeof value !== 'string' || value.trim() === '') {
throw new Error(`${label} must be a non-empty string`)
}
return value
}
const requirePositiveInteger = (value, label) => {
if (!Number.isInteger(value) || value <= 0) throw new Error(`${label} must be a positive integer`)
return value
}
const requireIntegerInRange = (value, minimum, maximum, label) => {
if (!Number.isInteger(value) || value < minimum || value > maximum) {
throw new Error(`${label} must be an integer from ${minimum} to ${maximum}`)
}
return value
}
const requireBoolean = (value, label) => {
if (typeof value !== 'boolean') throw new Error(`${label} must be boolean`)
return value
}
const requireExact = (value, expected, label) => {
if (value !== expected) throw new Error(`${label} must be ${expected}`)
return value
}
const resolveInsideWorkspace = (workspace, relativePath, label) => {
requireString(relativePath, label)
const absolutePath = path.resolve(workspace, relativePath)
const relative = path.relative(workspace, absolutePath)
if (relative.startsWith('..') || path.isAbsolute(relative)) {
throw new Error(`${label} escapes workspace: ${relativePath}`)
}
return absolutePath
}
const validatePixels = (value, label) => {
const pixels = requireObject(value, label)
assertOnlyFields(pixels, new Set(['width', 'height']), label)
requirePositiveInteger(pixels.width, `${label}.width`)
requirePositiveInteger(pixels.height, `${label}.height`)
}
const validateAlphaAndEdge = (asset, id) => {
const alpha = requireObject(asset.alpha, `${id}.alpha`)
assertOnlyFields(alpha, new Set(['required', 'transparentOuterPadding', 'cornerMaxAlpha']), `${id}.alpha`)
requireExact(alpha.required, true, `${id}.alpha.required`)
requireIntegerInRange(alpha.transparentOuterPadding, 0, 4096, `${id}.alpha.transparentOuterPadding`)
requireIntegerInRange(alpha.cornerMaxAlpha, 0, 255, `${id}.alpha.cornerMaxAlpha`)
const edge = requireObject(asset.edge, `${id}.edge`)
assertOnlyFields(
edge,
new Set(['forbidChromaResidue', 'forbidLightFringe', 'premultipliedAlphaCheck']),
`${id}.edge`,
)
requireBoolean(edge.forbidChromaResidue, `${id}.edge.forbidChromaResidue`)
requireBoolean(edge.forbidLightFringe, `${id}.edge.forbidLightFringe`)
requireBoolean(edge.premultipliedAlphaCheck, `${id}.edge.premultipliedAlphaCheck`)
}
const validateProcessing = (processing, id) => {
requireObject(processing, `${id}.processing`)
const mode = requireString(processing.mode, `${id}.processing.mode`)
if (mode === 'chroma-stretch') {
assertOnlyFields(
processing,
new Set(['mode', 'capWidth', 'keyColor', 'keyTolerance', 'paletteColors', 'indexedPng']),
`${id}.processing`,
)
requirePositiveInteger(processing.capWidth, `${id}.processing.capWidth`)
if (!/^#[A-Fa-f0-9]{6}$/.test(processing.keyColor)) {
throw new Error(`${id}.processing.keyColor must be a six-digit RGB color`)
}
requireIntegerInRange(processing.keyTolerance, 0, 441, `${id}.processing.keyTolerance`)
if (processing.paletteColors !== undefined) {
requireIntegerInRange(processing.paletteColors, 2, 256, `${id}.processing.paletteColors`)
}
if (processing.indexedPng !== undefined) {
requireBoolean(processing.indexedPng, `${id}.processing.indexedPng`)
}
return true
}
if (mode === 'opaque-resize') {
assertOnlyFields(processing, new Set(['mode', 'resample', 'outputMode']), `${id}.processing`)
requireExact(processing.resample, 'lanczos', `${id}.processing.resample`)
requireExact(processing.outputMode, 'RGB', `${id}.processing.outputMode`)
return false
}
if (mode === 'opaque-cover-crop') {
assertOnlyFields(processing, new Set(['mode', 'resample', 'anchor', 'outputMode']), `${id}.processing`)
requireExact(processing.resample, 'lanczos', `${id}.processing.resample`)
requireExact(processing.anchor, 'center', `${id}.processing.anchor`)
requireExact(processing.outputMode, 'RGB', `${id}.processing.outputMode`)
return false
}
if (mode === 'warm-gold-frame-extract') {
assertOnlyFields(
processing,
new Set([
'mode',
'borderBand',
'redGreenMin',
'greenBlueMin',
'redBlueMin',
'redMaxExclusive',
'blueMaxExclusive',
'alphaOffset',
'alphaScale',
'outputMode',
]),
`${id}.processing`,
)
requirePositiveInteger(processing.borderBand, `${id}.processing.borderBand`)
for (const field of ['redGreenMin', 'greenBlueMin', 'redBlueMin', 'alphaOffset']) {
requireIntegerInRange(processing[field], 0, 255, `${id}.processing.${field}`)
}
for (const field of ['redMaxExclusive', 'blueMaxExclusive']) {
requireIntegerInRange(processing[field], 1, 256, `${id}.processing.${field}`)
}
requirePositiveInteger(processing.alphaScale, `${id}.processing.alphaScale`)
requireExact(processing.outputMode, 'RGBA', `${id}.processing.outputMode`)
return true
}
throw new Error(`${id} has unsupported processing.mode: ${mode}`)
}
export const validateAssetBuildManifest = (manifest, workspace) => {
requireObject(manifest, 'manifest')
assertOnlyFields(manifest, new Set(['schemaVersion', 'kind', 'family', 'assets']), 'manifest')
if (manifest.schemaVersion !== 3) throw new Error('schemaVersion must be 3')
if (manifest.kind !== 'asset-build-manifest') throw new Error('kind must be asset-build-manifest')
requireString(manifest.family, 'family')
if (!Array.isArray(manifest.assets) || manifest.assets.length === 0) {
throw new Error('assets must be a non-empty array')
}
const ids = new Set()
const outputs = new Set()
for (const asset of manifest.assets) {
requireObject(asset, 'asset')
const processing = requireObject(asset.processing, 'asset.processing')
const mode = requireString(processing.mode, 'asset.processing.mode')
const transparent = ['chroma-stretch', 'warm-gold-frame-extract'].includes(mode)
const fields = new Set(['id', 'source', 'output', 'sourcePixels', 'outputPixels', 'quality', 'processing'])
if (transparent) {
fields.add('alpha')
fields.add('edge')
}
assertOnlyFields(asset, fields, 'asset')
const id = requireString(asset.id, 'asset.id')
if (ids.has(id)) throw new Error(`duplicate asset id: ${id}`)
ids.add(id)
resolveInsideWorkspace(workspace, asset.source, `${id}.source`)
resolveInsideWorkspace(workspace, asset.output, `${id}.output`)
if (outputs.has(asset.output)) throw new Error(`duplicate output: ${asset.output}`)
outputs.add(asset.output)
validatePixels(asset.sourcePixels, `${id}.sourcePixels`)
validatePixels(asset.outputPixels, `${id}.outputPixels`)
const processingNeedsAlpha = validateProcessing(processing, id)
if (processingNeedsAlpha) validateAlphaAndEdge(asset, id)
const quality = requireObject(asset.quality, `${id}.quality`)
assertOnlyFields(quality, new Set(['maxBytes', 'colorSpace']), `${id}.quality`)
requirePositiveInteger(quality.maxBytes, `${id}.quality.maxBytes`)
requireExact(quality.colorSpace, 'sRGB', `${id}.quality.colorSpace`)
}
return manifest
}
-127
View File
@@ -1,127 +0,0 @@
"""Deterministic PNG quality checks for generated design assets."""
from pathlib import Path
from typing import Any
from PIL import Image
def _outer_ring_pixels(image: Image.Image, thickness: int):
width, height = image.size
thickness = max(0, min(thickness, width // 2, height // 2))
for y in range(height):
for x in range(width):
if x < thickness or x >= width - thickness or y < thickness or y >= height - thickness:
yield image.getpixel((x, y))
def analyze_asset(path: Path, spec: dict[str, Any], workspace: Path) -> dict[str, Any]:
"""按 schema v3 物理规格分析单张 PNG,并只输出工作区相对路径。"""
workspace = Path(workspace).resolve()
path = Path(path).resolve()
try:
report_path = path.relative_to(workspace).as_posix()
except ValueError as error:
raise ValueError(f"asset path escapes workspace: {path}") from error
errors: list[str] = []
warnings: list[str] = []
metrics: dict[str, int] = {}
with Image.open(path) as opened:
width, height = opened.size
mode = opened.mode
info = dict(opened.info)
has_alpha = "A" in opened.getbands() or "transparency" in opened.info
image = opened.convert("RGBA")
expected = spec["outputPixels"]
if (width, height) != (expected["width"], expected["height"]):
errors.append(
f"dimensions expected {expected['width']}x{expected['height']}, got {width}x{height}"
)
alpha = spec.get("alpha", {})
if alpha.get("required") and not has_alpha:
errors.append(f"alpha-required asset has no alpha channel or transparency table, got {mode}")
padding = int(alpha.get("transparentOuterPadding", 0))
max_alpha = int(alpha.get("cornerMaxAlpha", 255))
corners = (
image.getpixel((0, 0))[3],
image.getpixel((width - 1, 0))[3],
image.getpixel((0, height - 1))[3],
image.getpixel((width - 1, height - 1))[3],
)
corner_violations = sum(1 for value in corners if value > max_alpha)
metrics["cornerAlphaViolations"] = corner_violations
if corner_violations:
errors.append(f"corners contain {corner_violations} pixels above alpha {max_alpha}")
# 不透明长背景没有边缘/透明度扫描需求;避免无意义地把每张 1440×3600 图
# 展开成数百万个 Python 元组。透明资产仍完整执行原有像素级质量合同。
opaque_padding = 0
if padding > 0:
opaque_padding = sum(1 for pixel in _outer_ring_pixels(image, padding) if pixel[3] > max_alpha)
metrics["outerPaddingViolations"] = opaque_padding
if opaque_padding:
errors.append(f"outer padding contains {opaque_padding} pixels above alpha {max_alpha}")
edge = spec.get("edge", {})
needs_edge_pixels = any(edge.get(field) for field in (
"forbidChromaResidue",
"forbidLightFringe",
"premultipliedAlphaCheck",
))
pixels = list(image.get_flattened_data()) if needs_edge_pixels else []
chroma_residue = sum(
1
for red, green, blue, pixel_alpha in pixels
if pixel_alpha > 8 and green > 120 and green - max(red, blue) > 80
)
metrics["chromaResiduePixels"] = chroma_residue
if edge.get("forbidChromaResidue") and chroma_residue:
errors.append(f"chroma residue detected in {chroma_residue} visible pixels")
light_fringe = sum(
1
for red, green, blue, pixel_alpha in pixels
if 0 < pixel_alpha < 255 and red > 235 and green > 235 and blue > 235
)
metrics["lightFringePixels"] = light_fringe
if edge.get("forbidLightFringe") and light_fringe:
errors.append(f"light fringe detected in {light_fringe} partially transparent pixels")
transparent_rgb = sum(
1
for red, green, blue, pixel_alpha in pixels
if pixel_alpha == 0 and (red != 0 or green != 0 or blue != 0)
)
metrics["transparentRgbPixels"] = transparent_rgb
if edge.get("premultipliedAlphaCheck") and transparent_rgb:
errors.append(f"transparent RGB detected in {transparent_rgb} fully transparent pixels")
byte_size = path.stat().st_size
max_bytes = int(spec.get("quality", {}).get("maxBytes", 0))
if max_bytes and byte_size > max_bytes:
errors.append(f"maxBytes {max_bytes} exceeded by file size {byte_size}")
expected_color_space = spec.get("quality", {}).get("colorSpace")
if expected_color_space == "sRGB" and not ("srgb" in info or "icc_profile" in info):
errors.append("PNG does not declare an sRGB chunk or ICC profile")
expected_mode = spec.get("processing", {}).get("outputMode")
if expected_mode and mode != expected_mode:
errors.append(f"output mode expected {expected_mode}, got {mode}")
return {
"id": spec.get("id", path.stem),
"path": report_path,
"width": width,
"height": height,
"mode": mode,
"bytes": byte_size,
"errors": errors,
"warnings": warnings,
"metrics": metrics,
}
@@ -1,43 +0,0 @@
import fs from 'node:fs'
import path from 'node:path'
import { fileURLToPath } from 'node:url'
import { validateAssetBuildManifest } from './asset-build-manifest.mjs'
import { resolvePythonExecutable, runPythonCommand } from './python-runtime.mjs'
const scriptDirectory = path.dirname(fileURLToPath(import.meta.url))
const pipelineDirectory = path.resolve(scriptDirectory, '..')
const workspace = path.resolve(pipelineDirectory, '..')
const argument = process.argv[2]
if (!argument) throw new Error('用法:node build-raster-assets.mjs <仓库相对清单路径>')
// 清单参数本身也必须留在工作区;source/output 的边界由 schema validator 逐项负责。
const manifestPath = path.resolve(workspace, argument)
const relativeManifest = path.relative(workspace, manifestPath)
if (relativeManifest.startsWith('..') || path.isAbsolute(relativeManifest)) {
throw new Error(`构建清单越出工作区:${argument}`)
}
const manifest = JSON.parse(fs.readFileSync(manifestPath, 'utf8'))
validateAssetBuildManifest(manifest, workspace)
const supportedModes = new Set(['opaque-resize', 'opaque-cover-crop', 'warm-gold-frame-extract'])
for (const asset of manifest.assets) {
if (!supportedModes.has(asset.processing.mode)) {
throw new Error(`通用 raster 构建器不支持模式:${asset.processing.mode}`)
}
}
const python = resolvePythonExecutable({ pipelineDirectory })
const reportPath = path.join(pipelineDirectory, 'generated', manifest.family, 'quality-report.json')
// Node 只编排严格 schema、锁定的 Python 入口和质量报告;像素算法只存在于 Python。
runPythonCommand({
executable: python,
args: [path.join(scriptDirectory, 'build_raster_assets.py'), manifestPath, '--workspace', workspace],
cwd: workspace,
})
runPythonCommand({
executable: python,
args: [path.join(scriptDirectory, 'verify-assets.py'), manifestPath, '--workspace', workspace, '--report', reportPath],
cwd: workspace,
})
@@ -1,28 +0,0 @@
import fs from 'node:fs'
import path from 'node:path'
import { fileURLToPath } from 'node:url'
import { validateAssetBuildManifest } from './asset-build-manifest.mjs'
import { resolvePythonExecutable, runPythonCommand } from './python-runtime.mjs'
const scriptDirectory = path.dirname(fileURLToPath(import.meta.url))
const pipelineDirectory = path.resolve(scriptDirectory, '..')
const workspace = path.resolve(pipelineDirectory, '..')
const manifestPath = path.join(pipelineDirectory, 'manifests', 'shared-scroll-skins-v3.json')
const reportPath = path.join(pipelineDirectory, 'generated', 'shared-scroll-skins-v3', 'quality-report.json')
const python = resolvePythonExecutable({ pipelineDirectory })
const manifest = JSON.parse(fs.readFileSync(manifestPath, 'utf8'))
validateAssetBuildManifest(manifest, workspace)
// Node 只负责编排锁定的清单和 Python 工具;像素处理与质量分析各自只有一个实现。
function run(script, args) {
runPythonCommand({
executable: python,
args: [path.join(scriptDirectory, script), ...args],
cwd: workspace,
})
}
run('build_scroll_skins.py', [manifestPath, '--workspace', workspace])
run('verify-assets.py', [manifestPath, '--workspace', workspace, '--report', reportPath])
@@ -1,132 +0,0 @@
"""按 schema v3 清单确定性生成不透明长背景与 G01 暖金边框。"""
import argparse
import json
from pathlib import Path
from typing import Any
from PIL import Image, PngImagePlugin
def _resolve_inside(workspace: Path, relative_path: str) -> Path:
"""解析仓库相对路径,并在任何读写发生前拒绝目录逃逸。"""
absolute = (workspace / relative_path).resolve()
try:
absolute.relative_to(workspace.resolve())
except ValueError as error:
raise ValueError(f"path escapes workspace: {relative_path}") from error
return absolute
def build_opaque_resize(source: Image.Image, output_size: tuple[int, int]) -> Image.Image:
"""把同宽高比母版按 LANCZOS 直接缩放为无透明通道的 RGB 正式图。"""
image = source.convert("RGB")
if image.size != output_size:
image = image.resize(output_size, Image.Resampling.LANCZOS)
return image
def build_opaque_cover_crop(source: Image.Image, output_size: tuple[int, int]) -> Image.Image:
"""等比 cover 后从中心裁切;算法与旧五模块构建器的可见像素完全一致。"""
width, height = output_size
image = source.convert("RGB")
scale = max(width / image.width, height / image.height)
resized = image.resize(
(round(image.width * scale), round(image.height * scale)),
Image.Resampling.LANCZOS,
)
left = max(0, (resized.width - width) // 2)
top = max(0, (resized.height - height) // 2)
return resized.crop((left, top, left + width, top + height))
def extract_warm_gold_frame(source: Image.Image, config: dict[str, Any]) -> Image.Image:
"""复刻旧 Sharp 暖金边框阈值,同时清零全透明像素的隐藏 RGB。"""
image = source.convert("RGBA")
width, height = image.size
border_band = int(config["borderBand"])
output = Image.new("RGBA", image.size, (0, 0, 0, 0))
result: list[tuple[int, int, int, int]] = []
for index, (red, green, blue, source_alpha) in enumerate(image.get_flattened_data()):
x = index % width
y = index // width
distance_to_edge = min(x, y, width - 1 - x, height - 1 - y)
warm_gold = (
red > green > blue
and red - green >= int(config["redGreenMin"])
and green - blue >= int(config["greenBlueMin"])
and red - blue >= int(config["redBlueMin"])
and red < int(config["redMaxExclusive"])
and blue < int(config["blueMaxExclusive"])
)
if distance_to_edge >= border_band or not warm_gold:
result.append((0, 0, 0, 0))
continue
edge_alpha = max(
0,
min(
255,
(red - blue - int(config["alphaOffset"])) * int(config["alphaScale"]),
),
)
alpha = min(source_alpha, edge_alpha)
result.append((red, green, blue, alpha) if alpha else (0, 0, 0, 0))
output.putdata(result)
return output
def save_png(image: Image.Image, path: Path) -> None:
"""以固定压缩参数和标准 sRGB chunk 保存,保证同输入得到同字节。"""
path.parent.mkdir(parents=True, exist_ok=True)
png_info = PngImagePlugin.PngInfo()
png_info.add(b"sRGB", b"\x00")
image.save(path, format="PNG", optimize=True, compress_level=9, pnginfo=png_info)
def build_manifest(manifest_path: Path, workspace: Path) -> None:
"""执行已经由 Node 严格校验的清单,并再次核对真实母版像素尺寸。"""
manifest = json.loads(manifest_path.read_text(encoding="utf-8"))
for asset in manifest["assets"]:
source_path = _resolve_inside(workspace, asset["source"])
output_path = _resolve_inside(workspace, asset["output"])
expected_source = asset["sourcePixels"]
output_pixels = asset["outputPixels"]
output_size = (int(output_pixels["width"]), int(output_pixels["height"]))
with Image.open(source_path) as source:
expected_size = (int(expected_source["width"]), int(expected_source["height"]))
if source.size != expected_size:
raise ValueError(
f"{asset['id']} source expected {expected_size[0]}x{expected_size[1]}, "
f"got {source.width}x{source.height}"
)
mode = asset["processing"]["mode"]
if mode == "opaque-resize":
output = build_opaque_resize(source, output_size)
elif mode == "opaque-cover-crop":
output = build_opaque_cover_crop(source, output_size)
elif mode == "warm-gold-frame-extract":
output = extract_warm_gold_frame(source, asset["processing"])
else:
raise ValueError(f"unsupported raster processing mode: {mode}")
if output.size != output_size:
raise ValueError(f"{asset['id']} produced unexpected output size: {output.size}")
save_png(output, output_path)
print(f"BUILT {asset['id']} -> {asset['output']}")
def main() -> None:
parser = argparse.ArgumentParser()
parser.add_argument("manifest", type=Path)
parser.add_argument("--workspace", type=Path, required=True)
args = parser.parse_args()
build_manifest(args.manifest.resolve(), args.workspace.resolve())
if __name__ == "__main__":
main()
@@ -1,185 +0,0 @@
"""从锁定的色键母版确定性生成项目共享卷轴资产。"""
import argparse
import json
import math
from pathlib import Path
from PIL import Image, PngImagePlugin
def remove_chroma_background(
image: Image.Image,
key: tuple[int, int, int],
tolerance: int,
feather: int = 72,
) -> Image.Image:
source = image.convert("RGBA")
cleaned = Image.new("RGBA", source.size, (0, 0, 0, 0))
result = []
key_red, key_green, key_blue = key
for red, green, blue, source_alpha in source.get_flattened_data():
distance = math.sqrt(
(red - key_red) ** 2 + (green - key_green) ** 2 + (blue - key_blue) ** 2
)
alpha_fraction = max(0.0, min(1.0, (distance - tolerance) / feather))
alpha_fraction *= source_alpha / 255
if alpha_fraction <= 0:
result.append((0, 0, 0, 0))
continue
recovered_red = round((red - (1 - alpha_fraction) * key_red) / alpha_fraction)
recovered_green = round((green - (1 - alpha_fraction) * key_green) / alpha_fraction)
recovered_blue = round((blue - (1 - alpha_fraction) * key_blue) / alpha_fraction)
result.append(
(
max(0, min(255, recovered_red)),
max(0, min(255, recovered_green)),
max(0, min(255, recovered_blue)),
round(alpha_fraction * 255),
)
)
cleaned.putdata(result)
return cleaned
def trim_transparent(image: Image.Image) -> Image.Image:
alpha = image.getchannel("A")
bounds = alpha.getbbox()
if bounds is None:
raise ValueError("chroma removal left no visible artwork")
return image.crop(bounds)
def stretch_safe_center(
image: Image.Image,
*,
output_size: tuple[int, int],
cap_width: int,
padding: int,
) -> Image.Image:
output_width, output_height = output_size
inner_width = output_width - padding * 2
inner_height = output_height - padding * 2
if inner_width <= 0 or inner_height <= 0:
raise ValueError("transparent padding leaves no drawable area")
if cap_width <= 0 or cap_width * 2 >= image.width:
raise ValueError(f"invalid capWidth {cap_width} for artwork width {image.width}")
target_cap_width = max(1, round(cap_width * inner_height / image.height))
center_width = inner_width - target_cap_width * 2
if center_width <= 0:
raise ValueError("scaled caps leave no room for the stretch-safe center")
left = image.crop((0, 0, cap_width, image.height))
center = image.crop((cap_width, 0, image.width - cap_width, image.height))
right = image.crop((image.width - cap_width, 0, image.width, image.height))
resampling = Image.Resampling.LANCZOS
left = left.resize((target_cap_width, inner_height), resampling)
center = center.resize((center_width, inner_height), resampling)
right = right.resize((target_cap_width, inner_height), resampling)
output = Image.new("RGBA", output_size, (0, 0, 0, 0))
output.alpha_composite(left, (padding, padding))
output.alpha_composite(center, (padding + target_cap_width, padding))
output.alpha_composite(right, (output_width - padding - target_cap_width, padding))
return output
def sanitize_output_edges(image: Image.Image) -> Image.Image:
cleaned = []
for red, green, blue, alpha in image.convert("RGBA").get_flattened_data():
chroma_residue = alpha > 0 and green > 120 and green - max(red, blue) > 80
light_fringe = 0 < alpha < 255 and red > 235 and green > 235 and blue > 235
if alpha == 0 or chroma_residue or light_fringe:
cleaned.append((0, 0, 0, 0))
else:
cleaned.append((red, green, blue, alpha))
output = Image.new("RGBA", image.size, (0, 0, 0, 0))
output.putdata(cleaned)
return output
def reduce_png_palette(image: Image.Image, colors: int = 192) -> Image.Image:
alpha = image.getchannel("A")
rgb = image.convert("RGB").quantize(
colors=colors,
method=Image.Quantize.MEDIANCUT,
dither=Image.Dither.NONE,
).convert("RGB")
output = rgb.convert("RGBA")
output.putalpha(alpha)
return sanitize_output_edges(output)
def parse_hex_color(value: str) -> tuple[int, int, int]:
if len(value) != 7 or not value.startswith("#"):
raise ValueError(f"invalid RGB hex color: {value}")
return tuple(int(value[index:index + 2], 16) for index in (1, 3, 5))
def build_asset(asset: dict, workspace: Path) -> None:
processing = asset["processing"]
alpha = asset["alpha"]
pixels = asset["outputPixels"]
source_path = workspace / asset["source"]
output_path = workspace / asset["output"]
if processing["mode"] != "chroma-stretch":
raise ValueError(f"unsupported scroll processing mode: {processing['mode']}")
with Image.open(source_path) as source:
expected = asset["sourcePixels"]
if source.size != (expected["width"], expected["height"]):
raise ValueError(
f"{asset['id']} source expected {expected['width']}x{expected['height']}, "
f"got {source.width}x{source.height}"
)
cleaned = remove_chroma_background(
source,
parse_hex_color(processing["keyColor"]),
int(processing["keyTolerance"]),
)
artwork = trim_transparent(cleaned)
output = stretch_safe_center(
artwork,
output_size=(pixels["width"], pixels["height"]),
cap_width=int(processing["capWidth"]),
padding=int(alpha["transparentOuterPadding"]),
)
palette_colors = int(processing.get("paletteColors", 192))
output = sanitize_output_edges(output)
if processing.get("indexedPng"):
output = output.quantize(
colors=palette_colors,
method=Image.Quantize.FASTOCTREE,
dither=Image.Dither.NONE,
)
else:
output = reduce_png_palette(output, colors=palette_colors)
output_path.parent.mkdir(parents=True, exist_ok=True)
png_info = PngImagePlugin.PngInfo()
png_info.add(b"sRGB", b"\x00")
output.save(output_path, format="PNG", optimize=True, pnginfo=png_info)
print(f"BUILT {asset['id']} -> {asset['output']}")
def build_manifest(manifest_path: Path, workspace: Path) -> None:
manifest = json.loads(manifest_path.read_text(encoding="utf-8"))
for asset in manifest["assets"]:
build_asset(asset, workspace)
def main() -> None:
parser = argparse.ArgumentParser()
parser.add_argument("manifest", type=Path)
parser.add_argument("--workspace", type=Path, required=True)
args = parser.parse_args()
build_manifest(args.manifest.resolve(), args.workspace.resolve())
if __name__ == "__main__":
main()
@@ -1,74 +0,0 @@
import fs from 'node:fs'
import path from 'node:path'
import { spawnSync } from 'node:child_process'
function canRunPython(executable) {
const result = spawnSync(executable, ['--version'], {
encoding: 'utf8',
stdio: 'ignore',
})
return !result.error && result.status === 0
}
/**
* 解析设计构建管线唯一可用的 Python 入口。
*
* 顺序必须保持稳定:显式配置 > 项目虚拟环境 > Windows Python Manager >
* 系统命令。这样既尊重调用方选择,也不会把 WindowsApps 的零字节执行别名
* 误判为真实解释器。每个候选都必须实际执行 `--version`,文件存在本身不算可用。
*/
export function resolvePythonExecutable({
pipelineDirectory,
environment = process.env,
platform = process.platform,
pathExists = fs.existsSync,
canRun = canRunPython,
} = {}) {
if (!pipelineDirectory) throw new Error('解析 Python 入口时缺少 design-pipeline 目录')
const configured = environment.PYTHON?.trim()
if (configured) {
if (canRun(configured)) return configured
throw new Error(`PYTHON 指定的解释器不可用:${configured}`)
}
const pathApi = platform === 'win32' ? path.win32 : path.posix
const candidates = []
const virtualEnvironment = platform === 'win32'
? pathApi.join(pipelineDirectory, '.venv', 'Scripts', 'python.exe')
: pathApi.join(pipelineDirectory, '.venv', 'bin', 'python')
if (pathExists(virtualEnvironment)) candidates.push(virtualEnvironment)
if (platform === 'win32' && environment.LOCALAPPDATA) {
const managerPython = pathApi.join(environment.LOCALAPPDATA, 'Python', 'bin', 'python.exe')
if (pathExists(managerPython)) candidates.push(managerPython)
}
candidates.push(platform === 'win32' ? 'python' : 'python3', 'python')
for (const candidate of new Set(candidates)) {
if (canRun(candidate)) return candidate
}
throw new Error(
'未找到可用的 Python。请设置 PYTHON 为真实解释器路径,或在 design-pipeline/.venv 中安装项目虚拟环境。',
)
}
/**
* 通过统一入口执行 Python,保证任何构建和测试都不会向源码目录写入 `.pyc`。
* 调用方只提供业务参数;`-B`、进程错误和退出码转换由这里集中负责。
*/
export function runPythonCommand({ executable, args, cwd, spawn = spawnSync } = {}) {
if (typeof executable !== 'string' || executable.trim() === '') throw new Error('执行 Python 时缺少解释器')
if (!Array.isArray(args)) throw new Error('执行 Python 时 args 必须为数组')
if (typeof cwd !== 'string' || cwd.trim() === '') throw new Error('执行 Python 时缺少工作目录')
const result = spawn(executable, ['-B', ...args], {
cwd,
encoding: 'utf8',
stdio: 'inherit',
})
if (result.error) throw new Error(`无法启动 Python${executable}):${result.error.message}`)
if (result.status !== 0) throw new Error(`Python 命令执行失败,退出码:${result.status ?? 'unknown'}`)
return result
}
@@ -1,14 +0,0 @@
import path from 'node:path'
import { fileURLToPath } from 'node:url'
import { resolvePythonExecutable, runPythonCommand } from './python-runtime.mjs'
const scriptDirectory = path.dirname(fileURLToPath(import.meta.url))
const pipelineDirectory = path.resolve(scriptDirectory, '..')
const python = resolvePythonExecutable({ pipelineDirectory })
runPythonCommand({
executable: python,
args: ['-m', 'unittest', 'discover', '-s', 'tests', '-p', 'test_*.py'],
cwd: pipelineDirectory,
})
@@ -1,9 +1,8 @@
import { createHash } from 'node:crypto'
import { readFile, readdir } from 'node:fs/promises'
import path from 'node:path'
import { validateAssetBuildManifest } from './asset-build-manifest.mjs'
const formalManifestKinds = new Set(['asset-build-manifest', 'runtime-asset-inventory'])
const formalManifestKinds = new Set(['runtime-asset-inventory'])
const assertOnlyFields = (value, fields, label) => {
for (const field of Object.keys(value)) {
if (!fields.has(field)) throw new Error(`${label} contains unknown field: ${field}`)
@@ -88,25 +87,7 @@ export const expandRuntimeAssetInventory = async (rootManifestPath, workspace) =
manifests.push(absolutePath)
const manifest = await readManifest(absolutePath)
if (manifest.kind === 'asset-build-manifest') {
validateAssetBuildManifest(manifest, workspacePath)
for (const asset of manifest.assets) {
addAsset(
{
id: asset.id,
output: asset.output,
width: asset.outputPixels.width,
height: asset.outputPixels.height,
// 不透明构建模式依法不声明 alpha;只有透明模式存在该对象,避免把“字段缺失”误判为清单损坏。
alpha: asset.alpha?.required ?? false,
maxBytes: asset.quality.maxBytes,
provenance: 'generated-from-manifest',
rebuildable: true,
},
absolutePath,
)
}
} else if (manifest.kind === 'runtime-asset-inventory') {
if (manifest.kind === 'runtime-asset-inventory') {
assertOnlyFields(manifest, new Set(['schemaVersion', 'kind', 'scope', 'imports', 'assets']), 'runtime manifest')
if (manifest.schemaVersion !== 1) throw new Error('runtime inventory schemaVersion must be 1')
if (typeof manifest.scope !== 'string' || manifest.scope.trim() === '') throw new Error('runtime inventory scope is required')
@@ -136,6 +117,23 @@ export const validateRuntimeAssetRegistry = async (rootManifestPath, workspace,
const inventory = await expandRuntimeAssetInventory(rootManifestPath, workspacePath)
const registered = new Set(inventory.manifests.map((manifest) => path.resolve(manifest)))
for (const asset of inventory.assets) {
let binary
try {
binary = await readFile(resolveInsideWorkspace(workspacePath, asset.output, `${asset.id}.output`))
} catch (error) {
if (error.code === 'ENOENT') throw new Error(`missing runtime asset: ${asset.output}`)
throw error
}
if (binary.length !== asset.bytes) {
throw new Error(`${asset.id}.bytes does not match ${asset.output}`)
}
const digest = createHash('sha256').update(binary).digest('hex')
if (digest !== asset.sha256) {
throw new Error(`${asset.id}.sha256 does not match ${asset.output}`)
}
}
// 顶层注册表必须覆盖目录内每一份正式 owner。这样新增清单若没有接入全局图会立即失败,
// output 与 id 的唯一性也就不再局限于某个业务域的 imports 闭包。
for (const entry of await readdir(directory, { withFileTypes: true })) {
@@ -1,15 +0,0 @@
import { readFile } from 'node:fs/promises'
import path from 'node:path'
import { fileURLToPath } from 'node:url'
import { validateAssetBuildManifest } from './asset-build-manifest.mjs'
const scriptDirectory = path.dirname(fileURLToPath(import.meta.url))
const workspace = path.resolve(scriptDirectory, '..', '..')
const manifestArgument = process.argv[2]
if (!manifestArgument) throw new Error('Usage: node validate-asset-build-manifest.mjs <workspace-relative-manifest>')
const manifestPath = path.resolve(workspace, manifestArgument)
const manifest = JSON.parse(await readFile(manifestPath, 'utf8'))
validateAssetBuildManifest(manifest, workspace)
process.stdout.write(`ASSET-BUILD-MANIFEST PASS ${path.relative(workspace, manifestPath).replaceAll('\\', '/')}\n`)
@@ -13,4 +13,4 @@ const inventory = await validateRuntimeAssetRegistry(
workspace,
path.join(workspace, 'design-pipeline', 'manifests'),
)
process.stdout.write(`${JSON.stringify(inventory)}\n`)
process.stdout.write(`RUNTIME ASSET CHECK PASS manifests=${inventory.manifests.length} assets=${inventory.assets.length}\n`)
-47
View File
@@ -1,47 +0,0 @@
"""校验 schema v3 生成型资产,并写出不含机器绝对路径的确定性报告。"""
import argparse
import json
import sys
from pathlib import Path
from asset_quality import analyze_asset
def main() -> None:
parser = argparse.ArgumentParser()
parser.add_argument("manifest", type=Path)
parser.add_argument("--workspace", type=Path, required=True)
parser.add_argument("--report", type=Path, required=True)
args = parser.parse_args()
manifest = json.loads(args.manifest.read_text(encoding="utf-8"))
reports = []
failed = False
for asset in manifest["assets"]:
output = args.workspace / asset["output"]
if not output.is_file():
report = {
"id": asset["id"],
"path": Path(asset["output"]).as_posix(),
"errors": ["output file is missing"],
"warnings": [],
"metrics": {},
}
else:
report = analyze_asset(output, asset, args.workspace)
reports.append(report)
if report["errors"]:
failed = True
print(f"ASSET-QUALITY FAIL {asset['id']}: {'; '.join(report['errors'])}")
else:
print(f"ASSET-QUALITY PASS {asset['id']}")
args.report.parent.mkdir(parents=True, exist_ok=True)
args.report.write_text(json.dumps(reports, ensure_ascii=False, indent=2), encoding="utf-8")
if failed:
sys.exit(1)
if __name__ == "__main__":
main()
@@ -1,21 +0,0 @@
import fs from 'node:fs'
import path from 'node:path'
import { fileURLToPath } from 'node:url'
import { validateAssetBuildManifest } from './asset-build-manifest.mjs'
import { resolvePythonExecutable, runPythonCommand } from './python-runtime.mjs'
const scriptDirectory = path.dirname(fileURLToPath(import.meta.url))
const pipelineDirectory = path.resolve(scriptDirectory, '..')
const workspace = path.resolve(pipelineDirectory, '..')
const manifestPath = path.join(pipelineDirectory, 'manifests', 'shared-scroll-skins-v3.json')
const reportPath = path.join(pipelineDirectory, 'generated', 'shared-scroll-skins-v3', 'quality-report.json')
const python = resolvePythonExecutable({ pipelineDirectory })
const manifest = JSON.parse(fs.readFileSync(manifestPath, 'utf8'))
validateAssetBuildManifest(manifest, workspace)
runPythonCommand({
executable: python,
args: [path.join(scriptDirectory, 'verify-assets.py'), manifestPath, '--workspace', workspace, '--report', reportPath],
cwd: workspace,
})
@@ -1,131 +0,0 @@
import test from 'node:test'
import assert from 'node:assert/strict'
import path from 'node:path'
import { fileURLToPath } from 'node:url'
import { validateAssetBuildManifest } from '../scripts/asset-build-manifest.mjs'
const testDirectory = path.dirname(fileURLToPath(import.meta.url))
const workspace = path.resolve(testDirectory, '..', '..')
const baseAsset = () => ({
id: 'test-asset',
source: 'docs/design/assets/source.png',
output: 'static/assets/output.png',
sourcePixels: { width: 1536, height: 3840 },
outputPixels: { width: 1440, height: 3600 },
quality: { maxBytes: 7000000, colorSpace: 'sRGB' },
})
// schema v3 以 processing.mode 为严格判别字段。每个分支只允许自身真正消费的
// 参数,避免给不透明背景伪造透明边、色键或切片字段来“凑齐”旧结构。
const chromaAsset = () => ({
...baseAsset(),
alpha: { required: true, transparentOuterPadding: 6, cornerMaxAlpha: 0 },
edge: { forbidChromaResidue: true, forbidLightFringe: true, premultipliedAlphaCheck: true },
processing: {
mode: 'chroma-stretch',
capWidth: 380,
keyColor: '#00FF00',
keyTolerance: 96,
},
})
const opaqueResizeAsset = () => ({
...baseAsset(),
processing: { mode: 'opaque-resize', resample: 'lanczos', outputMode: 'RGB' },
})
const opaqueCoverAsset = () => ({
...baseAsset(),
processing: {
mode: 'opaque-cover-crop',
resample: 'lanczos',
anchor: 'center',
outputMode: 'RGB',
},
})
const warmFrameAsset = () => ({
...baseAsset(),
alpha: { required: true, transparentOuterPadding: 0, cornerMaxAlpha: 0 },
edge: { forbidChromaResidue: false, forbidLightFringe: false, premultipliedAlphaCheck: true },
processing: {
mode: 'warm-gold-frame-extract',
borderBand: 110,
redGreenMin: 15,
greenBlueMin: 12,
redBlueMin: 35,
redMaxExclusive: 245,
blueMaxExclusive: 180,
alphaOffset: 25,
alphaScale: 6,
outputMode: 'RGBA',
},
})
const manifestWith = (asset) => ({
schemaVersion: 3,
kind: 'asset-build-manifest',
family: 'test-family-v3',
assets: [asset],
})
test('接受四种职责严格分离的 schema v3 处理模式', () => {
for (const factory of [chromaAsset, opaqueResizeAsset, opaqueCoverAsset, warmFrameAsset]) {
const manifest = manifestWith(factory())
assert.equal(validateAssetBuildManifest(manifest, workspace), manifest)
}
})
test('拒绝没有 processing.mode 的旧 schema v3 形状', () => {
const asset = chromaAsset()
delete asset.processing.mode
assert.throws(() => validateAssetBuildManifest(manifestWith(asset), workspace), /processing\.mode/i)
})
test('不透明分支拒绝透明度、边缘和其他模式的参数', () => {
const withAlpha = opaqueResizeAsset()
withAlpha.alpha = chromaAsset().alpha
assert.throws(() => validateAssetBuildManifest(manifestWith(withAlpha), workspace), /unknown field/i)
const withAnchor = opaqueResizeAsset()
withAnchor.processing.anchor = 'center'
assert.throws(() => validateAssetBuildManifest(manifestWith(withAnchor), workspace), /unknown field/i)
const withColorKey = opaqueCoverAsset()
withColorKey.processing.keyColor = '#00FF00'
assert.throws(() => validateAssetBuildManifest(manifestWith(withColorKey), workspace), /unknown field/i)
})
test('透明分支拒绝缺失 alpha/edge 及不属于自身的处理字段', () => {
const missingAlpha = chromaAsset()
delete missingAlpha.alpha
assert.throws(() => validateAssetBuildManifest(manifestWith(missingAlpha), workspace), /alpha/i)
const missingEdge = warmFrameAsset()
delete missingEdge.edge
assert.throws(() => validateAssetBuildManifest(manifestWith(missingEdge), workspace), /edge/i)
const wrongProcessing = warmFrameAsset()
wrongProcessing.processing.capWidth = 380
assert.throws(() => validateAssetBuildManifest(manifestWith(wrongProcessing), workspace), /unknown field/i)
})
test('拒绝重复输出、越界路径、未知字段和未知模式', () => {
const duplicate = manifestWith(chromaAsset())
duplicate.assets.push({ ...chromaAsset(), id: 'duplicate-output' })
assert.throws(() => validateAssetBuildManifest(duplicate, workspace), /duplicate output/i)
const escaped = manifestWith(opaqueResizeAsset())
escaped.assets[0].output = '../outside.png'
assert.throws(() => validateAssetBuildManifest(escaped, workspace), /escapes workspace/i)
const unknownField = manifestWith(opaqueResizeAsset())
unknownField.assets[0].logicalSlot = 'page'
assert.throws(() => validateAssetBuildManifest(unknownField, workspace), /unknown field/i)
const unknownMode = manifestWith(opaqueResizeAsset())
unknownMode.assets[0].processing.mode = 'future-magic'
assert.throws(() => validateAssetBuildManifest(unknownMode, workspace), /unsupported processing\.mode/i)
})
@@ -1,68 +0,0 @@
import assert from 'node:assert/strict'
import path from 'node:path'
import test from 'node:test'
import { resolvePythonExecutable, runPythonCommand } from '../scripts/python-runtime.mjs'
test('显式 PYTHON 配置优先于所有自动发现路径', () => {
const selected = resolvePythonExecutable({
pipelineDirectory: 'C:\\repo\\design-pipeline',
environment: {
PYTHON: 'D:\\tools\\python.exe',
LOCALAPPDATA: 'C:\\Users\\tester\\AppData\\Local',
},
platform: 'win32',
pathExists: () => true,
canRun: candidate => candidate === 'D:\\tools\\python.exe',
})
assert.equal(selected, 'D:\\tools\\python.exe')
})
test('Windows 环境在虚拟环境缺失时选择 Python Manager 的真实入口', () => {
const managerPython = path.win32.join(
'C:\\Users\\tester\\AppData\\Local',
'Python',
'bin',
'python.exe',
)
const selected = resolvePythonExecutable({
pipelineDirectory: 'C:\\repo\\design-pipeline',
environment: { LOCALAPPDATA: 'C:\\Users\\tester\\AppData\\Local' },
platform: 'win32',
pathExists: candidate => candidate === managerPython,
canRun: candidate => candidate === managerPython,
})
assert.equal(selected, managerPython)
})
test('所有候选解释器均不可用时给出可执行的中文修复指引', () => {
assert.throws(
() => resolvePythonExecutable({
pipelineDirectory: 'C:\\repo\\design-pipeline',
environment: {},
platform: 'win32',
pathExists: () => false,
canRun: () => false,
}),
/ Python.*PYTHON.*\.venv/s,
)
})
test('统一执行器始终把禁止字节码缓存参数放在首位', () => {
let invocation
runPythonCommand({
executable: 'python-test',
args: ['script.py', '--flag'],
cwd: 'C:\\repo',
spawn: (command, args, options) => {
invocation = { command, args, options }
return { status: 0 }
},
})
assert.equal(invocation.command, 'python-test')
assert.deepEqual(invocation.args, ['-B', 'script.py', '--flag'])
assert.equal(invocation.options.cwd, 'C:\\repo')
})
@@ -1,65 +0,0 @@
import test from 'node:test'
import assert from 'node:assert/strict'
import { readFile } from 'node:fs/promises'
import path from 'node:path'
import { fileURLToPath } from 'node:url'
import { validateAssetBuildManifest } from '../scripts/asset-build-manifest.mjs'
const testDirectory = path.dirname(fileURLToPath(import.meta.url))
const pipelineDirectory = path.resolve(testDirectory, '..')
const workspace = path.resolve(pipelineDirectory, '..')
const readManifest = async (name) => JSON.parse(await readFile(
path.join(pipelineDirectory, 'manifests', name),
'utf8',
))
test('长页面背景只由一份清单拥有六张正式输出', async () => {
const manifest = await readManifest('page-backgrounds-v3.json')
validateAssetBuildManifest(manifest, workspace)
assert.equal(manifest.family, 'page-backgrounds-v3')
assert.deepEqual(
manifest.assets.map(({ id }) => id),
[
'genealogy-page-background-long',
'tree-page-background-long',
'family-page-background-long',
'records-page-background-long',
'notification-page-background-long',
'profile-page-background-long',
],
)
assert.equal(manifest.assets[0].processing.mode, 'opaque-resize')
for (const asset of manifest.assets.slice(1)) {
assert.equal(asset.processing.mode, 'opaque-cover-crop')
}
})
test('G01 空态边框拥有独立的暖金边框提取清单', async () => {
const manifest = await readManifest('g01-state-frame-v3.json')
validateAssetBuildManifest(manifest, workspace)
assert.equal(manifest.family, 'g01-state-frame-v3')
assert.equal(manifest.assets.length, 1)
assert.equal(manifest.assets[0].id, 'g01-empty-panel-frame')
assert.equal(manifest.assets[0].processing.mode, 'warm-gold-frame-extract')
assert.equal(manifest.assets[0].processing.borderBand, 110)
})
test('新构建入口不再保留候选构建和 Sharp 专用命令', async () => {
const packageJson = JSON.parse(await readFile(path.join(pipelineDirectory, 'package.json'), 'utf8'))
assert.equal(
packageJson.scripts['build:page-backgrounds'],
'node scripts/build-raster-assets.mjs design-pipeline/manifests/page-backgrounds-v3.json',
)
assert.equal(
packageJson.scripts['build:g01-state-frame'],
'node scripts/build-raster-assets.mjs design-pipeline/manifests/g01-state-frame-v3.json',
)
assert.equal(packageJson.scripts['build:g01-background-candidates'], undefined)
assert.equal(packageJson.scripts['build:module-page-backgrounds'], undefined)
assert.equal(packageJson.scripts['build:g01-empty-frame'], undefined)
assert.equal(packageJson.dependencies?.sharp, undefined)
})
@@ -40,19 +40,21 @@ test('顶层注册表拒绝未进入导入闭包的正式 owner', async (t) => {
)
})
test('真实 schema v3 注册表覆盖直接资产与三类正式生成 owner', async () => {
test('真实 schema v3 注册表覆盖应用资产与保留生成资产', async () => {
const registry = JSON.parse(await readFile(path.join(realManifestsDirectory, 'runtime-assets.json'), 'utf8'))
const auth = JSON.parse(await readFile(path.join(realManifestsDirectory, 'auth-runtime-assets.json'), 'utf8'))
const retained = JSON.parse(await readFile(path.join(realManifestsDirectory, 'retained-generated-runtime-assets.json'), 'utf8'))
assert.equal(registry.scope, 'schema-v3')
assert.deepEqual(registry.imports, [
'design-pipeline/manifests/auth-runtime-assets.json',
'design-pipeline/manifests/application-runtime-assets.json',
'design-pipeline/manifests/shared-scroll-skins-v3.json',
'design-pipeline/manifests/page-backgrounds-v3.json',
'design-pipeline/manifests/g01-state-frame-v3.json',
'design-pipeline/manifests/retained-generated-runtime-assets.json',
])
assert.deepEqual(auth.imports, [])
assert.equal(retained.assets.length, 11)
assert(retained.assets.every((asset) => asset.provenance === 'committed-binary'))
assert(retained.assets.every((asset) => asset.rebuildable === false))
await validateRuntimeAssetRegistry(
path.join(realManifestsDirectory, 'runtime-assets.json'),
workspaceDirectory,
@@ -1,31 +0,0 @@
import test from 'node:test'
import assert from 'node:assert/strict'
import { readFile } from 'node:fs/promises'
import path from 'node:path'
import { fileURLToPath } from 'node:url'
import { validateAssetBuildManifest } from '../scripts/asset-build-manifest.mjs'
const testDirectory = path.dirname(fileURLToPath(import.meta.url))
const pipelineDirectory = path.resolve(testDirectory, '..')
const workspace = path.resolve(pipelineDirectory, '..')
const manifestPath = path.join(pipelineDirectory, 'manifests', 'shared-scroll-skins-v3.json')
test('共享卷轴清单只维护四张正式生成资产', async () => {
const manifest = JSON.parse(await readFile(manifestPath, 'utf8'))
validateAssetBuildManifest(manifest, workspace)
assert.equal(manifest.kind, 'asset-build-manifest')
assert.equal(manifest.family, 'shared-scroll-skins-v3')
assert.deepEqual(
manifest.assets.map(({ id }) => id),
['shared-scroll-primary-v3', 'shared-scroll-secondary-v3', 'shared-scroll-toast-v3', 'shared-scroll-dialog-v3'],
)
for (const asset of manifest.assets) {
assert.deepEqual(
Object.keys(asset).sort(),
['alpha', 'edge', 'id', 'output', 'outputPixels', 'processing', 'quality', 'source', 'sourcePixels'],
)
assert.equal(asset.processing.mode, 'chroma-stretch')
}
})
-109
View File
@@ -1,109 +0,0 @@
import sys
import tempfile
import unittest
from pathlib import Path
from PIL import Image, PngImagePlugin
SCRIPTS = Path(__file__).resolve().parents[1] / "scripts"
sys.path.insert(0, str(SCRIPTS))
from asset_quality import analyze_asset
class AssetQualityTests(unittest.TestCase):
def setUp(self):
self.directory = tempfile.TemporaryDirectory()
self.addCleanup(self.directory.cleanup)
self.root = Path(self.directory.name)
def spec(self):
return {
"id": "test-button",
"outputPixels": {"width": 32, "height": 16},
"alpha": {"required": True, "transparentOuterPadding": 2, "cornerMaxAlpha": 0},
"edge": {
"forbidChromaResidue": True,
"forbidLightFringe": True,
"premultipliedAlphaCheck": True,
},
"quality": {"maxBytes": 10000, "colorSpace": "sRGB"},
}
def clean_image(self):
image = Image.new("RGBA", (32, 16), (0, 0, 0, 0))
for y in range(2, 14):
for x in range(2, 30):
image.putpixel((x, y), (150, 20, 12, 255))
return image
def save(self, image, name="asset.png", include_srgb=True):
path = self.root / name
png_info = PngImagePlugin.PngInfo()
if include_srgb:
png_info.add(b"sRGB", b"\x00")
image.save(path, format="PNG", pnginfo=png_info)
return path
def error_text(self, report):
return " ".join(report["errors"])
def test_accepts_clean_rgba_asset(self):
report = analyze_asset(self.save(self.clean_image()), self.spec(), self.root)
self.assertEqual([], report["errors"])
self.assertEqual(32, report["width"])
self.assertEqual(16, report["height"])
self.assertEqual("asset.png", report["path"])
def test_accepts_indexed_png_with_real_transparency(self):
indexed = self.clean_image().quantize(
colors=16,
method=Image.Quantize.FASTOCTREE,
dither=Image.Dither.NONE,
)
report = analyze_asset(self.save(indexed), self.spec(), self.root)
self.assertEqual([], report["errors"])
self.assertEqual("P", report["mode"])
def test_rejects_wrong_dimensions(self):
report = analyze_asset(self.save(Image.new("RGBA", (31, 16), (0, 0, 0, 0))), self.spec(), self.root)
self.assertIn("dimensions", self.error_text(report))
def test_rejects_opaque_outer_padding(self):
image = self.clean_image()
image.putpixel((0, 0), (120, 30, 20, 255))
report = analyze_asset(self.save(image), self.spec(), self.root)
self.assertIn("outer padding", self.error_text(report))
def test_rejects_visible_green_residue(self):
image = self.clean_image()
image.putpixel((16, 8), (0, 255, 0, 255))
report = analyze_asset(self.save(image), self.spec(), self.root)
self.assertIn("chroma residue", self.error_text(report))
def test_rejects_light_partially_transparent_fringe(self):
image = self.clean_image()
image.putpixel((2, 8), (250, 250, 250, 128))
report = analyze_asset(self.save(image), self.spec(), self.root)
self.assertIn("light fringe", self.error_text(report))
def test_rejects_hidden_rgb_in_fully_transparent_pixels(self):
image = self.clean_image()
image.putpixel((0, 0), (255, 255, 255, 0))
report = analyze_asset(self.save(image), self.spec(), self.root)
self.assertIn("transparent RGB", self.error_text(report))
def test_rejects_file_over_max_bytes(self):
spec = self.spec()
spec["quality"]["maxBytes"] = 8
report = analyze_asset(self.save(self.clean_image()), spec, self.root)
self.assertIn("maxBytes", self.error_text(report))
def test_rejects_missing_declared_srgb_metadata(self):
path = self.save(self.clean_image(), include_srgb=False)
report = analyze_asset(path, self.spec(), self.root)
self.assertIn("sRGB", self.error_text(report))
if __name__ == "__main__":
unittest.main()
@@ -1,85 +0,0 @@
import hashlib
import sys
import tempfile
import unittest
from pathlib import Path
from PIL import Image
SCRIPTS = Path(__file__).resolve().parents[1] / "scripts"
sys.path.insert(0, str(SCRIPTS))
from build_raster_assets import (
build_opaque_cover_crop,
build_opaque_resize,
extract_warm_gold_frame,
save_png,
)
class RasterAssetBuilderTests(unittest.TestCase):
"""锁定迁移后的两类背景处理与 G01 暖金边框提取语义。"""
def test_opaque_resize_uses_locked_output_size_and_rgb(self):
source = Image.new("RGBA", (2, 3), (120, 80, 40, 128))
output = build_opaque_resize(source, (4, 6))
self.assertEqual((4, 6), output.size)
self.assertEqual("RGB", output.mode)
def test_cover_crop_centers_the_scaled_source(self):
source = Image.new("RGB", (2, 1), (255, 0, 0))
source.putpixel((1, 0), (0, 0, 255))
output = build_opaque_cover_crop(source, (2, 2))
self.assertEqual((2, 2), output.size)
self.assertEqual("RGB", output.mode)
self.assertNotEqual(output.getpixel((0, 0)), output.getpixel((1, 0)))
def test_warm_gold_frame_keeps_only_the_edge_band(self):
source = Image.new("RGBA", (5, 5), (180, 140, 80, 255))
config = {
"borderBand": 1,
"redGreenMin": 15,
"greenBlueMin": 12,
"redBlueMin": 35,
"redMaxExclusive": 245,
"blueMaxExclusive": 180,
"alphaOffset": 25,
"alphaScale": 6,
}
output = extract_warm_gold_frame(source, config)
self.assertGreater(output.getpixel((0, 2))[3], 0)
self.assertEqual((0, 0, 0, 0), output.getpixel((2, 2)))
def test_warm_gold_frame_rejects_non_gold_and_clears_hidden_rgb(self):
source = Image.new("RGBA", (1, 1), (100, 150, 100, 255))
config = {
"borderBand": 1,
"redGreenMin": 15,
"greenBlueMin": 12,
"redBlueMin": 35,
"redMaxExclusive": 245,
"blueMaxExclusive": 180,
"alphaOffset": 25,
"alphaScale": 6,
}
output = extract_warm_gold_frame(source, config)
self.assertEqual((0, 0, 0, 0), output.getpixel((0, 0)))
def test_png_save_is_srgb_and_byte_deterministic(self):
with tempfile.TemporaryDirectory() as directory:
first = Path(directory) / "first.png"
second = Path(directory) / "second.png"
image = Image.new("RGB", (4, 4), (230, 220, 200))
save_png(image, first)
save_png(image, second)
self.assertEqual(first.read_bytes(), second.read_bytes())
self.assertEqual(
hashlib.sha256(first.read_bytes()).hexdigest(),
hashlib.sha256(second.read_bytes()).hexdigest(),
)
with Image.open(first) as opened:
self.assertIn("srgb", opened.info)
if __name__ == "__main__":
unittest.main()
@@ -1,115 +0,0 @@
import hashlib
import json
import sys
import tempfile
import unittest
from pathlib import Path
from PIL import Image
SCRIPTS = Path(__file__).resolve().parents[1] / "scripts"
sys.path.insert(0, str(SCRIPTS))
from asset_quality import analyze_asset
from build_scroll_skins import (
build_asset,
remove_chroma_background,
sanitize_output_edges,
stretch_safe_center,
)
class BuildScrollSkinsTests(unittest.TestCase):
def setUp(self):
self.directory = tempfile.TemporaryDirectory()
self.addCleanup(self.directory.cleanup)
self.root = Path(self.directory.name)
def test_chroma_background_becomes_transparent_black(self):
image = Image.new("RGB", (4, 2), (0, 255, 0))
image.putpixel((1, 0), (180, 30, 20))
cleaned = remove_chroma_background(image, (0, 255, 0), tolerance=80)
self.assertEqual((0, 0, 0, 0), cleaned.getpixel((0, 0)))
self.assertEqual((180, 30, 20, 255), cleaned.getpixel((1, 0)))
def test_safe_center_stretch_preserves_caps_and_exact_size(self):
image = Image.new("RGBA", (30, 10), (150, 20, 10, 255))
for y in range(10):
for x in range(5):
image.putpixel((x, y), (220, 170, 40, 255))
image.putpixel((29 - x, y), (220, 170, 40, 255))
output = stretch_safe_center(image, output_size=(60, 20), cap_width=5, padding=2)
self.assertEqual((60, 20), output.size)
self.assertEqual((0, 0, 0, 0), output.getpixel((0, 0)))
self.assertEqual((220, 170, 40, 255), output.getpixel((3, 10)))
self.assertEqual((150, 20, 10, 255), output.getpixel((30, 10)))
self.assertEqual((220, 170, 40, 255), output.getpixel((56, 10)))
def test_sanitizes_only_forbidden_edge_artifacts(self):
image = Image.new("RGBA", (3, 1), (248, 240, 220, 255))
image.putpixel((0, 0), (0, 255, 0, 128))
image.putpixel((1, 0), (250, 250, 250, 96))
cleaned = sanitize_output_edges(image)
self.assertEqual((0, 0, 0, 0), cleaned.getpixel((0, 0)))
self.assertEqual((0, 0, 0, 0), cleaned.getpixel((1, 0)))
self.assertEqual((248, 240, 220, 255), cleaned.getpixel((2, 0)))
def asset(self, asset_id):
"""返回与现行判别式 schema 一致的最小透明卷轴测试资产。"""
return {
"id": asset_id,
"source": "source.png",
"output": "output.png",
"sourcePixels": {"width": 32, "height": 16},
"outputPixels": {"width": 60, "height": 30},
"alpha": {"required": True, "transparentOuterPadding": 1, "cornerMaxAlpha": 0},
"edge": {
"forbidChromaResidue": True,
"forbidLightFringe": True,
"premultipliedAlphaCheck": True,
},
"quality": {"maxBytes": 10000, "colorSpace": "sRGB"},
"processing": {
"mode": "chroma-stretch",
"capWidth": 4,
"keyColor": "#00FF00",
"keyTolerance": 80,
"paletteColors": 8,
},
}
def save_test_source(self):
source = Image.new("RGB", (32, 16), (0, 255, 0))
for y in range(1, 15):
for x in range(1, 31):
source.putpixel((x, y), (120 + (x % 30) * 4, 20 + y, 10))
source.save(self.root / "source.png")
def test_build_asset_honors_declared_palette_size(self):
self.save_test_source()
build_asset(self.asset("palette-test"), self.root)
with Image.open(self.root / "output.png") as output:
visible_colors = {
pixel[:3] for pixel in output.convert("RGBA").get_flattened_data() if pixel[3] > 0
}
self.assertLessEqual(len(visible_colors), 8)
def test_same_input_produces_identical_bytes_and_report_twice(self):
self.save_test_source()
asset = self.asset("deterministic-test")
snapshots = []
for _ in range(2):
build_asset(asset, self.root)
output = self.root / "output.png"
snapshots.append(
(
hashlib.sha256(output.read_bytes()).hexdigest(),
json.dumps(analyze_asset(output, asset, self.root), ensure_ascii=False, sort_keys=True),
)
)
self.assertEqual(snapshots[0], snapshots[1])
if __name__ == "__main__":
unittest.main()