import {z} from 'zod'

export type GetApiV4OrganizationsOrganizationIdAiServicesModelsArgs = {page?: number | undefined, perPage?: number | undefined, modelStatus?: ('pending' | 'deploying' | 'deployFailed' | 'healthy' | 'unhealthy' | 'pausing' | 'paused' | 'resuming' | 'pauseFailed' | 'resumeFailed') | undefined, modelKind?: ('embedding-generation' | 'sparse-embedding-generation' | 'text-generation') | undefined};

export type GetApiV4OrganizationsOrganizationIdAiServicesModelsOptions = {baseUrl?: string | undefined, token?: string | undefined, fetch?: typeof fetch | undefined};

export const caching = z.object({enableStandard: z.boolean().optional(), enableConversational: z.boolean().optional(), semantic: z.object({embeddingModel: z.string().optional(), scoreThreshold: z.number().optional(), dimensions: z.number().int().optional(), distanceMetric: z.string().optional()}).optional(), defaultCache: z.enum(["standard", "semantic"]).optional(), expiryTTL: z.number().int().optional()});

export const config = z.object({catalogModelName: z.string().optional(), type: z.enum(["text-generation", "embedding-generation", "sparse-embedding-generation", "moderation", "prompt-injection"]).optional(), provider: z.enum(["meta", "nvidia"]).optional(), quantization: z.enum(["fp8", "fp16", "fullPrecision"]).optional(), optimization: z.enum(["throughput", "latency"]).optional(), dimensions: z.number().int().optional(), caching: caching.optional(), enableBatching: z.boolean().optional(), keywordFiltering: z.array(z.string()).optional()});

export const cloudConfig = z.object({provider: z.enum(["aws", "gcp", "azure"]), region: z.string(), compute: z.object({cpu: z.union([z.literal(4), z.literal(32)]), gpuMemory: z.union([z.literal(24), z.literal(48), z.literal(192)])})});

export const usageMetrics = z.object({tokens: z.object({value: z.number().int().optional(), trend: z.enum(["increasing", "decreasing"]).optional()}).optional(), requests: z.object({value: z.number().int().optional(), trend: z.enum(["increasing", "decreasing"]).optional()}).optional()});

export const couchbaseAuditData = z.object({createdBy: z.string(), createdAt: z.string(), modifiedBy: z.string(), modifiedAt: z.string(), version: z.number().int()});

export const actions = z.array(z.enum(["deploy", "delete", "pause", "resume"]));

export const getLanguageModelResponse = z.object({model: z.object({id: z.string().optional(), name: z.string().optional(), config: config.optional(), cloudConfig: cloudConfig.optional(), status: z.string().optional(), usageMetrics: usageMetrics.optional(), connectionString: z.string().optional(), audit: couchbaseAuditData.optional(), actions: actions.optional()}).optional()});

export const pages = z.object({page: z.number().int(), next: z.number().int().optional(), previous: z.number().int().optional(), last: z.number().int(), perPage: z.number().int(), totalItems: z.number().int()});

export const hrefs = z.object({first: z.string(), last: z.string(), previous: z.string(), next: z.string()});

export const cursor = z.object({pages: pages, hrefs: hrefs});

export const getLanguageModelsResponse = z.object({data: z.array(getLanguageModelResponse), cursor: cursor});

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 Models
 * 
 * GET /v4/organizations/{organizationId}/aiServices/models
 */
export const getApiV4OrganizationsOrganizationIdAiServicesModels = async (args: GetApiV4OrganizationsOrganizationIdAiServicesModelsArgs, options?: GetApiV4OrganizationsOrganizationIdAiServicesModelsOptions) => {
const {baseUrl = "https://cloudapi.cloud.couchbase.com", fetch: fetchFn = fetch, token} = options ?? {}

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

if (args.page != null) query.append("page", String(args.page))
if (args.perPage != null) query.append("perPage", String(args.perPage))
if (args.modelStatus != null) query.append("modelStatus", String(args.modelStatus))
if (args.modelKind != null) query.append("modelKind", String(args.modelKind))
if (token !== undefined) headers.set('authorization', `Bearer ${token}`)

const url = `${baseUrl.replace(/\/+$/, '')}/v4/organizations/${encodeURIComponent(String(args.organizationId))}/aiServices/models${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(getLanguageModelsResponse, await res.json())
};