import {z} from 'zod'

export type GetApiUsersUserIdAiPromptsArgs = {userId: number, projectId?: number | undefined, action?: ('pre_translate' | 'qa_check') | undefined, limit?: number | undefined, offset?: number | undefined};

export type GetApiUsersUserIdAiPromptsOptions = {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 pagination = z.object({offset: z.number().int().optional(), limit: z.number().int().optional()});

export const crowdinAiPromptCollectionResource = z.object({data: z.array(crowdinAiPromptResource), pagination: pagination.optional()});

export const validateResponse = async <Output>(
  schema: {
    readonly '~standard': {
      readonly validate: (value: unknown) => ({ readonly value: Output; readonly issues?: undefined } | { readonly issues: ReadonlyArray<{ readonly message: string; readonly path?: ReadonlyArray<PropertyKey | { readonly key: PropertyKey }> | undefined }> }) | Promise<{ readonly value: Output; readonly issues?: undefined } | { readonly issues: ReadonlyArray<{ readonly message: string; readonly path?: ReadonlyArray<PropertyKey | { readonly key: PropertyKey }> | undefined }> }>
    }
  },
  value: unknown
): Promise<Output> => {
  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
};

/**
 * List AI Prompts
 * 
 * GET /users/{userId}/ai/prompts
 */
export const getApiUsersUserIdAiPrompts = async (args: GetApiUsersUserIdAiPromptsArgs, options?: GetApiUsersUserIdAiPromptsOptions) => {
const {baseUrl = "https://api.crowdin.com/api/v2", fetch: fetchFn = fetch} = options ?? {}

const query = new URLSearchParams()
const headers = new Headers()
headers.set('accept', "application/json")

if (args.projectId != null) query.append("projectId", String(args.projectId))
if (args.action != null) query.append("action", String(args.action))
if (args.limit != null) query.append("limit", String(args.limit))
if (args.offset != null) query.append("offset", String(args.offset))

const url = `${baseUrl.replace(/\/+$/, '')}/users/${encodeURIComponent(String(args.userId))}/ai/prompts${query.size > 0 ? `?${query}` : ''}`

const res = await fetchFn(url, {method: "GET", headers})

if (!res.ok) throw new Error(`Request failed with status ${res.status}`, {cause: {status: res.status, body: await res.text()}})

return validateResponse(crowdinAiPromptCollectionResource, await res.json())
};