import {z} from 'zod'

export type GetApiV1DatasetsArgs = {filter?: string | undefined, orderBy?: string | undefined, pageSize?: number | undefined, pageToken?: string | undefined, parent?: string | undefined, readMask?: unknown | undefined};

export type GetApiV1DatasetsOptions = {baseUrl?: string | undefined, Oauth2?: string | undefined, Oauth2c?: string | undefined, fetch?: typeof fetch | undefined};

export const googleCloudAiplatformV1EncryptionSpec = z.object({kmsKeyName: z.string().optional()});

export const googleCloudAiplatformV1SavedQuery = z.object({annotationFilter: z.string().optional(), annotationSpecCount: z.number().int().optional(), createTime: z.string().optional(), displayName: z.string().optional(), etag: z.string().optional(), metadata: z.unknown(), name: z.string().optional(), problemType: z.string().optional(), supportAutomlTraining: z.boolean().optional(), updateTime: z.string().optional()});

export const googleCloudAiplatformV1Dataset = z.object({createTime: z.string().optional(), dataItemCount: z.string().optional(), description: z.string().optional(), displayName: z.string().optional(), encryptionSpec: googleCloudAiplatformV1EncryptionSpec.optional(), etag: z.string().optional(), labels: z.record(z.string(), z.string()).optional(), metadata: z.unknown(), metadataArtifact: z.string().optional(), metadataSchemaUri: z.string().optional(), modelReference: z.string().optional(), name: z.string().optional(), satisfiesPzi: z.boolean().optional(), satisfiesPzs: z.boolean().optional(), savedQueries: z.array(googleCloudAiplatformV1SavedQuery).optional(), updateTime: z.string().optional()});

export const googleCloudAiplatformV1ListDatasetsResponse = z.object({datasets: z.array(googleCloudAiplatformV1Dataset).optional(), nextPageToken: z.string().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
};

/**
 * Lists Datasets in a Location.
 * 
 * GET /v1/datasets
 * 
 * Also accepts auth: Oauth2 + Oauth2c
 */
export const getApiV1Datasets = async (args: GetApiV1DatasetsArgs, options?: GetApiV1DatasetsOptions) => {
const {baseUrl = "https://aiplatform.googleapis.com", fetch: fetchFn = fetch, Oauth2, Oauth2c} = options ?? {}

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

if (args.filter != null) query.append("filter", String(args.filter))
if (args.orderBy != null) query.append("orderBy", String(args.orderBy))
if (args.pageSize != null) query.append("pageSize", String(args.pageSize))
if (args.pageToken != null) query.append("pageToken", String(args.pageToken))
if (args.parent != null) query.append("parent", String(args.parent))
if (args.readMask != null) query.append("readMask", String(args.readMask))
if (Oauth2 !== undefined) headers.set('authorization', `Bearer ${Oauth2}`)
if (Oauth2c !== undefined) headers.set('authorization', `Bearer ${Oauth2c}`)

const url = `${baseUrl.replace(/\/+$/, '')}/v1/datasets${query.size > 0 ? `?${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(googleCloudAiplatformV1ListDatasetsResponse, await res.json())
};