chore: prepare GoodBuddy 0.8.2
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This commit is contained in:
lofyer
2026-08-06 22:47:13 +08:00
parent 8d00e6371d
commit b8fc7bc86e
114 changed files with 22916 additions and 1560 deletions
+200
View File
@@ -0,0 +1,200 @@
import { z } from 'zod'
const safeIdentifierPattern = /^[a-z0-9]+(?:-[a-z0-9]+)*$/u
const safeFileNamePattern =
/^(?!\.{1,2}$)(?!.*(?:^|[\\/])\.{1,2}(?:[\\/]|$))[^/\\\0]+$/u
const sha256Pattern = /^[a-f0-9]{64}$/u
export const SPEECH_TRANSCRIPTION_SAMPLE_RATE = 16_000
export const SPEECH_TRANSCRIPTION_MAX_SECONDS = 20
export const SPEECH_TRANSCRIPTION_MAX_SAMPLES =
SPEECH_TRANSCRIPTION_SAMPLE_RATE * SPEECH_TRANSCRIPTION_MAX_SECONDS
export const speechModelIdSchema = z
.string()
.min(1)
.max(96)
.regex(safeIdentifierPattern)
export const speechModelFileNameSchema = z
.string()
.min(1)
.max(255)
.regex(safeFileNamePattern)
export const speechModelFileRoleSchema = z.enum([
'model',
'encoder',
'decoder',
'tokens',
'configuration'
])
export const speechModelDownloadSchema = z
.object({
url: z.url().max(2_048),
size: z.number().int().positive().safe(),
sha256: z.string().regex(sha256Pattern)
})
.strict()
export const speechModelFileSpecSchema = z
.object({
name: speechModelFileNameSchema,
role: speechModelFileRoleSchema,
download: speechModelDownloadSchema.optional()
})
.strict()
export const speechModelLicenseSchema = z
.object({
name: z.string().trim().min(1).max(120),
notice: z.string().trim().min(1).max(1_000),
url: z.url().max(2_048)
})
.strict()
export const speechModelCatalogEntrySchema = z
.object({
id: speechModelIdSchema,
displayName: z.string().trim().min(1).max(120),
description: z.string().trim().min(1).max(500),
languages: z.array(z.string().trim().min(1).max(32)).min(1).max(32),
family: z.enum(['sensevoice', 'whisper']),
quantization: z.enum(['int8', 'fp16', 'fp32']),
repositoryUrl: z.url().max(2_048),
license: speechModelLicenseSchema,
manualOnly: z.boolean(),
manualReason: z.string().trim().min(1).max(500).optional(),
files: z.array(speechModelFileSpecSchema).min(1).max(32)
})
.strict()
.superRefine((entry, context) => {
if (new Set(entry.files.map((file) => file.name)).size !== entry.files.length) {
context.addIssue({
code: 'custom',
path: ['files'],
message: '模型文件名不能重复'
})
}
if (entry.manualOnly && !entry.manualReason) {
context.addIssue({
code: 'custom',
path: ['manualReason'],
message: '仅手动导入的模型必须说明原因'
})
}
if (
!entry.manualOnly &&
entry.files.some((file) => file.download === undefined)
) {
context.addIssue({
code: 'custom',
path: ['files'],
message: '可下载模型的每个文件都必须提供已验证的大小和 SHA-256'
})
}
})
export const speechModelInstalledFileSchema = z
.object({
name: speechModelFileNameSchema,
role: speechModelFileRoleSchema,
size: z.number().int().nonnegative().safe(),
sha256: z.string().regex(sha256Pattern)
})
.strict()
export const installedSpeechModelSchema = z
.object({
id: speechModelIdSchema,
displayName: z.string().trim().min(1).max(120),
source: z.enum(['download', 'local']),
installedAt: z.string().datetime(),
files: z.array(speechModelInstalledFileSchema).min(1).max(32)
})
.strict()
export const speechModelOperationSchema = z
.object({
modelId: speechModelIdSchema,
kind: z.enum(['download', 'import']),
phase: z.enum(['preparing', 'transferring', 'installing']),
currentFile: speechModelFileNameSchema.nullable(),
completedBytes: z.number().int().nonnegative().safe(),
totalBytes: z.number().int().nonnegative().safe().nullable()
})
.strict()
export const speechModelSnapshotSchema = z
.object({
rootDirectory: z.string().min(1).max(32_768),
catalog: z.array(speechModelCatalogEntrySchema).max(64),
installed: z.array(installedSpeechModelSchema).max(64),
operations: z.array(speechModelOperationSchema).max(16),
selectedModelId: speechModelIdSchema.nullable()
})
.strict()
export const speechModelActionInputSchema = z
.object({
modelId: speechModelIdSchema
})
.strict()
export const speechModelSelectionInputSchema = z
.object({
modelId: speechModelIdSchema.nullable()
})
.strict()
export const speechModelLocalDirectoryInputSchema = z
.object({
modelId: speechModelIdSchema,
directory: z.string().trim().min(1).max(32_768)
})
.strict()
export const speechTranscriptionInputSchema = z
.object({
requestId: z.string().uuid(),
sampleRate: z.literal(SPEECH_TRANSCRIPTION_SAMPLE_RATE),
audio: z.custom<ArrayBuffer>(
(value) =>
value instanceof ArrayBuffer &&
value.byteLength > 0 &&
value.byteLength <= SPEECH_TRANSCRIPTION_MAX_SAMPLES * 4 &&
value.byteLength % 4 === 0,
'录音数据无效或超过长度限制'
)
})
.strict()
export const speechTranscriptionResultSchema = z
.object({
text: z.string().trim().max(20_000)
})
.strict()
export type SpeechModelId = z.infer<typeof speechModelIdSchema>
export type SpeechModelFileSpec = z.infer<
typeof speechModelFileSpecSchema
>
export type SpeechModelCatalogEntry = z.infer<
typeof speechModelCatalogEntrySchema
>
export type InstalledSpeechModel = z.infer<
typeof installedSpeechModelSchema
>
export type SpeechModelOperation = z.infer<
typeof speechModelOperationSchema
>
export type SpeechModelSnapshot = z.infer<typeof speechModelSnapshotSchema>
export type SpeechModelLocalDirectoryInput = z.infer<
typeof speechModelLocalDirectoryInputSchema
>
export type SpeechTranscriptionInput = z.infer<
typeof speechTranscriptionInputSchema
>
export type SpeechTranscriptionResult = z.infer<
typeof speechTranscriptionResultSchema
>