import {z} from 'zod' export type AiPromptOperation = {op: 'replace' | 'test', path: '/name' | '/action' | '/aiProviderId' | '/aiModelId' | '/enabledProjectIds' | '/config'}; export type AiPromptPatch = Array; export type PatchApiUsersUserIdAiPromptsAiPromptIdArgs = {userId: number, aiPromptId: number, body: AiPromptPatch}; export type PatchApiUsersUserIdAiPromptsAiPromptIdOptions = {baseUrl?: string | undefined, fetch?: typeof fetch | undefined}; export const crowdinAiPrompt = z.object({id: z.number().int().optional(), name: z.string().optional(), action: z.string().optional(), aiProviderId: z.number().int().nullable().optional(), aiModelId: z.string().nullable().optional(), isEnabled: z.boolean().optional(), enabledProjectIds: z.array(z.number().int()).optional(), config: z.union([z.object({mode: z.literal("basic"), companyDescription: z.string().optional(), projectDescription: z.string().optional(), audienceDescription: z.string().optional(), customPlaceholders: z.array(z.string()).optional(), snippets: z.array(z.string()).optional(), otherLanguageTranslations: z.object({isEnabled: z.boolean().optional(), languageIds: z.array(z.string()).optional()}).optional(), glossaryTerms: z.boolean().optional(), tmSuggestions: z.boolean().optional(), fileContent: z.boolean().optional(), fileContext: z.boolean().optional(), generateFileSummary: z.boolean().optional(), screenshots: z.boolean().optional(), projectContext: z.boolean().optional(), publicProjectDescription: z.boolean().optional(), siblingsStrings: z.boolean().optional(), retryOnQaIssues: z.boolean().optional()}), z.object({mode: z.literal("basic"), evaluationSteps: z.array(z.string()), customPlaceholders: z.array(z.string()).optional(), snippets: z.array(z.string()).optional(), glossaryTerms: z.boolean().optional(), tmSuggestions: z.boolean().optional(), fileContext: z.boolean().optional(), screenshots: z.boolean().optional(), projectContext: z.boolean().optional(), publicProjectDescription: z.boolean().optional()}), z.object({mode: z.literal("advanced"), generateFileSummary: z.boolean().optional(), glossaryTerms: z.boolean().optional(), tmSuggestions: z.boolean().optional(), screenshots: z.boolean().optional(), prompt: z.string(), otherLanguageTranslations: z.object({isEnabled: z.boolean().optional(), languageIds: z.array(z.string()).optional()}).optional(), retryOnQaIssues: z.boolean().optional()}), z.object({mode: z.literal("external"), identifier: z.string(), key: z.string(), options: z.record(z.string(), z.unknown()).optional(), retryOnQaIssues: z.boolean().optional()})]).optional(), promptPreview: z.string().nullable().optional(), isFineTuningAvailable: z.boolean().optional(), createdBy: z.number().int().nullable().optional(), updatedBy: z.number().int().nullable().optional(), lastUsedBy: z.number().int().nullable().optional(), lastUsedAt: z.string().nullable().optional(), usageCount: z.number().int().optional(), createdAt: z.string().optional(), updatedAt: z.string().optional()}); export const crowdinAiPromptResource = z.object({data: crowdinAiPrompt}); export const validateResponse = async ( schema: { readonly '~standard': { readonly validate: (value: unknown) => ({ readonly value: Output; readonly issues?: undefined } | { readonly issues: ReadonlyArray<{ readonly message: string; readonly path?: ReadonlyArray | undefined }> }) | Promise<{ readonly value: Output; readonly issues?: undefined } | { readonly issues: ReadonlyArray<{ readonly message: string; readonly path?: ReadonlyArray | undefined }> }> } }, value: unknown ): Promise => { const result = await schema['~standard'].validate(value) if (result.issues !== undefined) { const detail = result.issues .map(({ message, path }) => path?.length ? `${path.map((segment) => String(typeof segment === 'object' ? segment.key : segment)).join('.')}: ${message}` : message ) .join('; ') throw new Error(`Response does not match the schema: ${detail}`, { cause: { issues: result.issues } }) } return result.value }; /** * Edit AI Prompt * * PATCH /users/{userId}/ai/prompts/{aiPromptId} */ export const patchApiUsersUserIdAiPromptsAiPromptId = async (args: PatchApiUsersUserIdAiPromptsAiPromptIdArgs, options?: PatchApiUsersUserIdAiPromptsAiPromptIdOptions) => { const {baseUrl = "https://api.crowdin.com/api/v2", fetch: fetchFn = fetch} = options ?? {} const query = new URLSearchParams() const headers = new Headers() headers.set('content-type', "application/json") headers.set('accept', "application/json") const url = `${baseUrl.replace(/\/+$/, '')}/users/${encodeURIComponent(String(args.userId))}/ai/prompts/${encodeURIComponent(String(args.aiPromptId))}${query.size > 0 ? `?${query}` : ''}` const res = await fetchFn(url, {method: "PATCH", headers, body: JSON.stringify(args.body)}) if (!res.ok) throw new Error(`Request failed with status ${res.status}`, {cause: {status: res.status, body: await res.text()}}) return validateResponse(crowdinAiPromptResource, await res.json()) };