From a00a5621cffa5585a60523cb0009f579ef7183e2 Mon Sep 17 00:00:00 2001 From: Ukawka <140130066+Ukawka@users.noreply.github.com> Date: Sun, 20 Sep 2026 22:36:20 +0800 Subject: [PATCH] =?UTF-8?q?=E5=A4=84=E7=90=86=E5=B0=BA=E5=AF=B8=E4=B8=8D?= =?UTF-8?q?=E4=B8=80=E8=87=B4?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- README.md | 2 ++ completion_geometry.py | 32 ++++++++++++++++++++++++++----- docs/3-completion-stage.md | 26 +++++++++++++++++++++++-- stages/completion-stage.mjs | 34 ++++++++++++++++++++++++--------- tests/completion-stage.test.mjs | 8 ++++++++ tests/test_completion.py | 24 +++++++++++++++++++++++ tools/model-check.mjs | 6 ++++-- 7 files changed, 114 insertions(+), 18 deletions(-) diff --git a/README.md b/README.md index 50508be..99324b4 100644 --- a/README.md +++ b/README.md @@ -222,6 +222,8 @@ node .\tools\model-check.mjs --stage completion ` `--part` 可重复;省略则处理所有具备可见 mask、补全需求和允许区域的部件。当前 SAM 示例仍有错分,应先复核。补全不会自动纠正上游语义;通过几何检查的 PNG 保存到 `parts/`,仍需人工复核。完整参数、离线候选导入与限制见[第三阶段文档](docs/3-completion-stage.md)。 +第三阶段请求会显式发送与局部画布一致的 `size`(默认 `1024x1024`)。如果中转站仍返回其他尺寸,可使用 `--candidates-dir 旧补全目录 --candidate-size-policy uniform` 离线复查:只允许同宽高比的画布等比例缩放,保留原候选,继续检查位置与新增区域并恢复原像素。默认 strict 模式仍拒绝尺寸不符;详细命令见第三阶段文档。 + ### 单独测试图片补全接口 此命令只验证图片编辑适配器并保存原始候选,不代表补全部件已经验收通过: diff --git a/completion_geometry.py b/completion_geometry.py index 3d9f337..5c8175e 100644 --- a/completion_geometry.py +++ b/completion_geometry.py @@ -140,16 +140,32 @@ def prepare(directory, selected_ids, size=1024, radius=32): return result -def merge_candidate(folder, candidate_file, output_file): +def merge_candidate(folder, candidate_file, output_file, size_policy='strict'): + if size_policy not in ['strict', 'uniform']: + raise ValueError('Unknown candidate size policy') folder = Path(folder) task = read_json(folder/'task.json') original = np.array(Image.open(folder/'visible.png').convert('RGBA')) allowed = np.array(Image.open(folder/'allowed-mask.png').convert('L')) > 0 candidate = Image.open(candidate_file).convert('RGBA') - qa = {'accepted': False, 'semantic_verified': False, 'reasons': []} + qa = {'accepted': False, 'semantic_verified': False, 'reasons': [], + 'expected_size': task['canvas_size'], 'returned_size': list(candidate.size), + 'size_policy': size_policy, 'canvas_resampled': False} if list(candidate.size) != task['canvas_size']: - qa['reasons'].append('CANVAS_SIZE_MISMATCH') - return qa + if size_policy == 'strict': + qa['reasons'].append('CANVAS_SIZE_MISMATCH') + return qa + tw, th = task['canvas_size'] + cw, ch = candidate.size + if cw * th != ch * tw: + qa['reasons'].append('CANVAS_ASPECT_RATIO_MISMATCH') + return qa + # Only reverse uniform whole-canvas scaling. Do not translate, stretch, + # crop, or register the object to make a changed pose appear correct. + candidate = candidate.resize((tw, th), Image.Resampling.LANCZOS) + qa.update(canvas_resampled=True, canvas_scale=tw/cw, + resampling='LANCZOS', warnings=['CANDIDATE_CANVAS_RESAMPLED']) + candidate.save(Path(output_file).with_name(Path(output_file).stem + '-normalized.png')) try: candidate, preprocessing = prepare_rgba(candidate) except ValueError as error: @@ -213,6 +229,11 @@ def finalize(directory): ox, oy = meta['origin_xy'] task.update(image=f'parts/{name}.png', crop_xyxy=[bbox[0]+ox, bbox[1]+oy, bbox[2]+ox, bbox[3]+oy]) view = f'' if task.get('image') else '' + for index, item in enumerate(task.get('candidates', []), 1): + view += f'

原候选 {index} · QA' + if item['qa'].get('canvas_resampled'): + view += f' · 缩放后候选' + view += '

' warnings = html.escape(', '.join(task.get('upstream_warnings', []))) rows.append(f'{html.escape(name)}

{warnings}

任务参数 · 提示词{html.escape(task["status"])}

原图局部参考

{view}
{html.escape(json.dumps(qa, ensure_ascii=False, indent=2))}
') write_json(out/'completion-result.json', result) @@ -232,13 +253,14 @@ def main(): parser.add_argument('--candidate') parser.add_argument('--merged') parser.add_argument('--qa') + parser.add_argument('--candidate-size-policy', choices=['strict', 'uniform'], default='strict') args = parser.parse_args() if args.action == 'prepare': if not 128 <= args.size <= 4096 or not 1 <= args.radius <= 256: parser.error('size must be 128..4096 and radius 1..256') prepare(args.out, args.part, args.size, args.radius) elif args.action == 'merge': - write_json(args.qa, merge_candidate(args.out, args.candidate, args.merged)) + write_json(args.qa, merge_candidate(args.out, args.candidate, args.merged, args.candidate_size_policy)) else: finalize(args.out) diff --git a/docs/3-completion-stage.md b/docs/3-completion-stage.md index 831dd98..b970aa3 100644 --- a/docs/3-completion-stage.md +++ b/docs/3-completion-stage.md @@ -50,6 +50,27 @@ node .\tools\model-check.mjs --stage completion ` 候选文件名为 `completion-candidates/head.png`,必须与对应任务的局部画布尺寸、坐标完全一致。准备与合并必须使用相同输入、`--completion-size` 和 `--extension-radius`。缺失候选记为 `missing_candidate`,不会联网补发。可将先前任务保存的原始候选复制为 `ID.png`,离线检查它,避免重复计费。 +`--candidates-dir` 也支持直接指向旧补全输出目录:读取 `tasks//candidate-1.png`(亦支持 jpg/webp),不下载、不重新生成。程序先核对旧 manifest 中的源图、语义计划、SAM mask 哈希及画布/延展参数是否与本次一致;不同则拒绝复用。该模式只取每部件首张原候选。 + +### 返回尺寸与输入不一致时 + +`--completion-size` 控制局部画布,不能单靠提示词保证模型输出相同尺寸。修复后第三阶段会同时发送 multipart 参数 `size=画布宽x画布高`,默认 `1024x1024`,并在每部件 `request.json` 记录实际请求尺寸。配置中的 `completion.params.size` 若与画布不同会在调用前报错。[OpenAI 编辑接口的 size 参数](https://developers.openai.com/api/reference/cli/resources/images/methods/edit)有明确的输出尺寸含义,但中转站是否遵守仍以实测结果为准。 + +默认 `--candidate-size-policy strict` 仍拒绝尺寸不一致。已有候选可以使用 `uniform` 模式离线尝试恢复:仅允许相同宽高比的整张画布等比例缩放,再执行原有的颜色/位置、可见像素保留率、新增区域和连通性检查。不对物体单独缩放、不平移、不裁剪,也不放宽对齐阈值。原图和 SAM mask 始终不缩放。 + +```powershell +node .\tools\model-check.mjs --stage completion ` + --config .\configs\tiantoken.json ` + --input-dir .\output\20260918-183532\sam ` + --candidates-dir .\output\20260918-183532\complete2_gpt ` + --out-dir ".\output\$runId-size-recheck" ` + --candidate-size-policy uniform +``` + +该命令不请求图片模型。原始候选保留,缩放后的候选另存为 `merged-N-normalized.png`,QA 记录原始/目标尺寸、比例、重采样方法和告警。即便最终通过几何检查也仍需语义复核;如果模型同时重绘、放大或移动了部件,可能继续报 `VISIBLE_ALIGNMENT_MISMATCH`。 + +2026-09-20 对 `complete2_gpt` 的 12 张原始候选实测:输入均为 1024×1024,输出为 1248×1248 或 1254×1254。旧请求未发送 size。离线 uniform 复查后 8 个通过几何检查、4 个因对齐不符或无有效新增像素拒绝;原始文件未覆盖,也没有重新请求生成。报告位于 `output/20260918-183532/complete2_gpt-size-recheck-v2/report.html`。22 项测试通过,含请求 size、等比例恢复后的像素保真、宽高比/偏移拒绝及旧任务输入匹配检查。显式 size 已通过请求构造测试,尚未再次付费验证中转站是否遵守。 + 每个输出目录必须是新目录;`--resume` 仅复用已完整结束且输入、参数、源码和产物哈希一致的任务。准备模式与生成模式使用不同目录。失败任务不自动续发请求。 | 参数 | 作用 | @@ -57,7 +78,8 @@ node .\tools\model-check.mjs --stage completion ` | `--input-dir` | SAM 输出目录,必须含 `source.png`、v2 计划、`segmentation.json`、`masks/.png` | | `--part ID` | 指定部件,可重复;省略时处理全部有补全需求的部件 | | `--prepare-only` | 只准备画布、区域与提示词,不请求图片模型 | -| `--candidates-dir` | 离线读取 `ID.png` 候选,与 prepare-only 互斥 | +| `--candidates-dir` | 离线读取 `ID.png` 或旧补全目录首张候选,与 prepare-only 互斥 | +| `--candidate-size-policy` | strict(默认):严格尺寸一致;uniform:同宽高比缩放后重新检查 | | `--completion-size` | 方形局部画布边长,默认 1024,128~4096;不缩放原像素 | | `--extension-radius` | 新增区域距可见 mask 的最大距离,默认 32 像素,1~256 | | `--completion-model` | 图片模型原始 ID,当前示例使用 qwen-image-3.0 | @@ -81,7 +103,7 @@ node .\tools\model-check.mjs --stage completion ` ## 返回候选的检查和合并 -1. 尺寸必须与局部画布完全一致。拒绝自动缩放、重定位或裁切来迎合返回图。 +1. 默认要求尺寸与局部画布完全一致。显式选择 uniform 时,只对同宽高比候选做整画布等比例恢复;宽高比不同仍拒绝。所有模式都不自动重定位或裁切。 2. 已有透明背景保留;不透明白底使用边界连通近白区域去底。无法提取前景则拒绝。 3. 使用原部件 Alpha ≥240 的像素检查对齐:候选保留率至少 95%,RGB 平均绝对误差不大于 30。无不透明锚点则拒绝。这只能发现明显偏移或重绘,不能保证语义正确。 4. 只保留允许区域中的新增像素,并去掉与原可见部分不连通的新增块。越界和不连通像素数量写入 QA。没有新增像素则拒绝。 diff --git a/stages/completion-stage.mjs b/stages/completion-stage.mjs index d4d3394..8f39518 100644 --- a/stages/completion-stage.mjs +++ b/stages/completion-stage.mjs @@ -24,11 +24,12 @@ function filesIn(dir, prefix = '') { export async function runCompletion({stage, inputDir, outDir, partIds = [], prepareOnly = false, candidatesDir, completionSize = 1024, extensionRadius = 32, python: requestedPython, - resume = false, dryRun = false}, transport) { + resume = false, dryRun = false, candidateSizePolicy = 'strict'}, transport) { if (!inputDir) throw new Error('部件补全需要 --input-dir 指向 SAM 输出目录'); if (!outDir && !dryRun) throw new Error('部件补全需要独立的 --out-dir'); if (prepareOnly && candidatesDir) throw new Error('--prepare-only 与 --candidates-dir 不能同时使用'); const size = Number(completionSize), radius = Number(extensionRadius); + if (!['strict', 'uniform'].includes(candidateSizePolicy)) throw new Error('--candidate-size-policy 仅支持 strict / uniform'); if (!Number.isInteger(size) || size < 128 || size > 4096 || !Number.isInteger(radius) || radius < 1 || radius > 256) { throw new Error('--completion-size 必须为 128~4096 的整数;--extension-radius 必须为 1~256 的整数'); } @@ -47,15 +48,24 @@ export async function runCompletion({stage, inputDir, outDir, partIds = [], prep const inputs = Object.fromEntries(inputFiles.map((file) => [file, sha256(readFileSync(path.join(input, file)))])); const imported = {}; if (candidatesDir) { + const priorManifest = path.resolve(candidatesDir, 'manifest.json'); + const previousRun = existsSync(priorManifest) ? readJson(priorManifest) : null; + if (previousRun && (previousRun.output_kind !== 'bounded_part_completion' || previousRun.completion_size !== size || previousRun.extension_radius !== radius || + Object.entries(inputs).some(([file, hash]) => previousRun.inputs?.[file] !== hash))) { + throw new Error('旧补全目录的输入或画布/延展参数不一致,不能复用其候选'); + } for (const p of plan.parts.filter((p) => p.needs_completion && (!partIds.length || partIds.includes(p.id)))) { - const file = path.resolve(candidatesDir, `${p.id}.png`); + const file = previousRun + ? ['png', 'jpg', 'webp'].map((ext) => path.resolve(candidatesDir, 'tasks', p.id, `candidate-1.${ext}`)).find(existsSync) + : path.resolve(candidatesDir, `${p.id}.png`); + if (!file) continue; if (existsSync(file)) imported[p.id] = {file, sha256: sha256(readFileSync(file))}; } } const python = selectPython(requestedPython); if (dryRun) { console.log(JSON.stringify({stage: 'completion', input, width: source.width, height: source.height, - selected_parts: partIds, completion_size: size, extension_radius: radius, + selected_parts: partIds, completion_size: size, extension_radius: radius, candidate_size_policy: candidateSizePolicy, mode: prepareOnly ? 'prepare' : candidatesDir ? 'offline_candidates' : 'image_edit', network_requested: false}, null, 2)); return {dryRun: true}; } @@ -65,7 +75,7 @@ export async function runCompletion({stage, inputDir, outDir, partIds = [], prep const identity = {schema_version: 1, stage: 'completion', output_kind: 'bounded_part_completion', mode: prepareOnly ? 'prepare' : candidatesDir ? 'offline_candidates' : 'image_edit', resolved_stage: publicStage(stage), endpoint_sha256: sha256(stage.baseUrl), prompt_sha256: sha256(stage.prompt), - inputs, part_ids: partIds, completion_size: size, extension_radius: radius, + inputs, part_ids: partIds, completion_size: size, extension_radius: radius, candidate_size_policy: candidateSizePolicy, imported_candidates: Object.fromEntries(Object.entries(imported).map(([id, value]) => [id, value.sha256])), code_sha256: sha256(codeFiles.map((file) => `${file}\n${readFileSync(path.join(projectRoot, file), 'utf8')}`).join('\n'))}; const fingerprint = sha256(JSON.stringify(identity)); @@ -75,6 +85,11 @@ export async function runCompletion({stage, inputDir, outDir, partIds = [], prep jsonFile(run.manifestPath, manifest, stage.apiKey); const result = {schema_version: 1, quality_status: 'needs_review', parts: [], skipped: []}; try { + const requestSize = `${size}x${size}`; + if (!prepareOnly && !candidatesDir && stage.params.size !== undefined && stage.params.size !== requestSize) { + throw new Error(`completion.params.size 必须与局部画布一致:${requestSize}`); + } + const editStage = {...stage, params: {...stage.params, size: requestSize}}; for (const file of inputFiles) { mkdirSync(path.dirname(path.join(run.out, file)), {recursive: true}); copyFileSync(path.join(input, file), path.join(run.out, file)); @@ -94,17 +109,17 @@ export async function runCompletion({stage, inputDir, outDir, partIds = [], prep let outputs; if (candidatesDir) { if (!imported[task.id]) { record.status = 'missing_candidate'; continue; } - outputs = [{bytes: readFileSync(imported[task.id].file), extension: 'png'}]; + outputs = [{bytes: readFileSync(imported[task.id].file), extension: path.extname(imported[task.id].file).slice(1)}]; } else { const images = [readImage(path.join(folder, 'input.png'), {pngOnly: true})]; if (stage.capabilities.multiple_images) images.push(readImage(path.join(folder, 'context.png'), {pngOnly: true})); const mask = stage.capabilities.mask ? readImage(path.join(folder, 'edit-mask.png'), {pngOnly: true}) : null; - jsonFile(path.join(folder, 'request.json'), {model: stage.model, images: images.map((im) => im.sha256), + jsonFile(path.join(folder, 'request.json'), {model: stage.model, size: requestSize, images: images.map((im) => im.sha256), edit_mask_sent: Boolean(mask), allowed_mask_sha256: sha256(readFileSync(path.join(folder, 'allowed-mask.png')))}, stage.apiKey); manifest.network_requested = true; jsonFile(run.manifestPath, manifest, stage.apiKey); try { - const {payload, metadata} = await editImage(stage, {images, mask, prompt: fullPrompt}, transport); + const {payload, metadata} = await editImage(editStage, {images, mask, prompt: fullPrompt}, transport); jsonFile(path.join(folder, 'response.raw.json'), payload, stage.apiKey); jsonFile(path.join(folder, 'request-metadata.json'), metadata, stage.apiKey); outputs = await decodeEditedImages(payload, stage, transport); @@ -119,7 +134,7 @@ export async function runCompletion({stage, inputDir, outDir, partIds = [], prep const filename = `candidate-${i + 1}.${output.extension}`; writeFileSync(path.join(folder, filename), output.bytes); const merged = path.join(folder, `merged-${i + 1}.png`), qaFile = path.join(folder, `qa-${i + 1}.json`); - pythonCall(python, ['merge', '--out', folder, '--candidate', path.join(folder, filename), '--merged', merged, '--qa', qaFile]); + pythonCall(python, ['merge', '--out', folder, '--candidate', path.join(folder, filename), '--merged', merged, '--qa', qaFile, '--candidate-size-policy', candidateSizePolicy]); const qa = readJson(qaFile); record.candidates.push({file: `tasks/${task.id}/${filename}`, qa}); if (qa.accepted && !record.selected_file) { @@ -128,7 +143,8 @@ export async function runCompletion({stage, inputDir, outDir, partIds = [], prep } } record.status = record.selected_file ? 'geometry_passed_needs_review' : 'rejected'; - if (!record.qa) record.qa = {accepted: false, reasons: record.candidates.flatMap((c) => c.qa.reasons)}; + if (!record.qa) record.qa = {...record.candidates[0]?.qa, accepted: false, + reasons: [...new Set(record.candidates.flatMap((c) => c.qa.reasons))]}; jsonFile(path.join(run.out, 'completion-result.json'), result, stage.apiKey); } manifest.quality_status = prepareOnly ? 'prepared_needs_review' : 'needs_review'; diff --git a/tests/completion-stage.test.mjs b/tests/completion-stage.test.mjs index 9aa0558..2becc6b 100644 --- a/tests/completion-stage.test.mjs +++ b/tests/completion-stage.test.mjs @@ -36,6 +36,7 @@ test('part completion prepares without HTTP, sends declared capabilities, merges const transport = {fetchImpl: async (_url, request) => { requests++; assert.equal(request.body.get('model'), stage.model); + assert.equal(request.body.get('size'), '128x128'); assert.equal(request.body.getAll('image').length, 1); assert.equal(request.body.has('mask'), false); return new Response(JSON.stringify({data: [{b64_json: readFileSync(path.join(input, 'candidate.png')).toString('base64')}]}), {headers: {'Content-Type': 'application/json'}}); @@ -50,6 +51,11 @@ test('part completion prepares without HTTP, sends declared capabilities, merges assert.deepEqual(result.parts[0].crop_xyxy, [20, 20, 50, 40]); assert.equal((await runCompletion({...opts, resume: true}, transport)).reused, true); assert.equal(requests, 1); + const recovered = await runCompletion({...opts, outDir: path.join(root, 'recovered'), candidatesDir: opts.outDir, candidateSizePolicy: 'uniform'}, {fetchImpl: () => { throw new Error('Must remain offline'); }}); + assert.equal(recovered.accepted, 1); + await assert.rejects(runCompletion({...opts, outDir: path.join(root, 'wrong-canvas'), candidatesDir: opts.outDir, completionSize: 256}, transport), /画布/u); + await assert.rejects(runCompletion({...opts, outDir: path.join(root, 'wrong-request'), stage: {...stage, params: {...stage.params, size: 'auto'}}}, transport), /size 必须/u); + assert.equal(requests, 1); writeFileSync(path.join(input, 'masks', 'torso.png'), readFileSync(path.join(input, 'masks', 'collar.png'))); await assert.rejects(runCompletion({...opts, resume: true}, transport), /变化/u); assert.equal(requests, 1); @@ -65,6 +71,8 @@ test('offline candidate import needs no HTTP; mismatched candidate is retained a assert.equal(result.accepted, 0); const data = JSON.parse(readFileSync(path.join(outDir, 'completion-result.json'))); assert.deepEqual(data.parts[0].qa.reasons, ['CANVAS_SIZE_MISMATCH']); + assert.deepEqual(data.parts[0].qa.expected_size, [128, 128]); + assert.deepEqual(data.parts[0].qa.returned_size, [80, 80]); assert.ok(readFileSync(path.join(outDir, 'tasks', 'torso', 'candidate-1.png')).length); }); diff --git a/tests/test_completion.py b/tests/test_completion.py index afe552f..95004fc 100644 --- a/tests/test_completion.py +++ b/tests/test_completion.py @@ -106,6 +106,30 @@ class CompletionTests(unittest.TestCase): self.assertTrue(qa['accepted']) self.assertEqual(qa['new_pixels'], 200) + def test_uniform_canvas_recovery_preserves_source_and_still_rejects_changes(self): + original_candidate = Image.open(self.root/'candidate.png').convert('RGBA') + larger = original_candidate.resize((256, 256), Image.Resampling.NEAREST) + file = self.root/'large.png' + larger.save(file) + output = self.folder/'recovered.png' + qa = merge_candidate(self.folder, file, output, 'uniform') + self.assertTrue(qa['accepted']) + self.assertTrue(qa['canvas_resampled']) + self.assertEqual(qa['returned_size'], [256, 256]) + self.assertEqual(qa['canvas_scale'], .5) + merged = np.array(Image.open(output)) + np.testing.assert_array_equal(merged[54:74, 49:69], self.source[20:40, 20:40]) + self.assertEqual(Image.open(file).size, (256, 256)) + for name, im, reason in [ + ('wide', larger.resize((260, 256)), 'CANVAS_ASPECT_RATIO_MISMATCH'), + ('shifted', Image.fromarray(np.roll(np.array(larger), 32, axis=1)), 'VISIBLE_ALIGNMENT_MISMATCH'), + ]: + file = self.root/f'{name}.png' + im.save(file) + qa = merge_candidate(self.folder, file, self.folder/f'{name}-merged.png', 'uniform') + self.assertFalse(qa['accepted']) + self.assertIn(reason, qa['reasons']) + def test_disconnected_additions_are_not_merged(self): candidate = np.array(Image.open(self.folder/'visible.png')) candidate[54:57, 76:79] = [180, 50, 20, 255] diff --git a/tools/model-check.mjs b/tools/model-check.mjs index e0bddbf..c1015d5 100644 --- a/tools/model-check.mjs +++ b/tools/model-check.mjs @@ -30,7 +30,8 @@ const help = `模型接入与结构理解(新增模式,不调用旧拆件流 --input-dir DIR SAM 阶段读理解目录;补全阶段读 SAM 目录 --part ID 补全部件 ID,可重复;默认处理所有需补全部件 --prepare-only 仅准备补全画布、掩码和提示词,不请求模型 - --candidates-dir DIR 离线导入 ID.png 补全候选,不请求模型 + --candidates-dir DIR 离线导入 ID.png,或旧补全目录的首张候选,不请求模型 + --candidate-size-policy NAME strict(默认)/ uniform(同宽高比缩放后重新检查对齐) --completion-size INT 补全方形画布边长,默认 1024,不缩放原像素 --extension-radius INT 补全区域距可见轮廓的最大像素距离,默认 32 --sam-dir DIR 本地 SAM 根目录,包含 sam3 与 sam3.1checkpoint @@ -56,6 +57,7 @@ export function parseOptions(argv) { ['--input-dir', 'inputDir'], ['--sam-dir', 'samDir'], ['--sam-code-dir', 'samCodeDir'], ['--sam-checkpoint', 'samCheckpoint'], ['--sam-confidence', 'samConfidence'], ['--sam-precision', 'samPrecision'], ['--candidates-dir', 'candidatesDir'], ['--completion-size', 'completionSize'], ['--extension-radius', 'extensionRadius'], + ['--candidate-size-policy', 'candidateSizePolicy'], ]); for (let i = 0; i < argv.length; i += 1) { const flag = argv[i]; @@ -88,7 +90,7 @@ export async function main(argv = process.argv.slice(2)) { } const loaded = loadConfig(options); const partCompletion = options.stage === 'completion' && options.inputDir; - if (!partCompletion && (options.prepareOnly || options.candidatesDir || options.partIds.length || options.completionSize || options.extensionRadius)) { + if (!partCompletion && (options.prepareOnly || options.candidatesDir || options.partIds.length || options.completionSize || options.extensionRadius || options.candidateSizePolicy)) { throw new Error('部件补全参数需要 --stage completion --input-dir'); } if (partCompletion) {