import {z} from 'zod'

export type GetApiV0DedicatedEndpointsTemplatesArgs = {ai_project_id?: (string | null) | undefined};

export type GetApiV0DedicatedEndpointsTemplatesOptions = {baseUrl?: string | undefined, HTTPBearer?: string | undefined, fetch?: typeof fetch | undefined};

export const license = z.object({url: z.string().min(1), name: z.string()});

export const text2TextModelMetadata = z.object({huggingface_url: z.string().min(1).nullable().optional(), vendor: z.string(), context_window_k: z.number().int(), size_b: z.number(), license: license.nullable().optional()});

export const embeddingModelMetadata = z.object({huggingface_url: z.string().min(1).nullable().optional(), vendor: z.string(), context_window_k: z.number().int(), embedding_dimensions: z.number().int(), size_b: z.number(), license: license.nullable().optional()});

export const image2TextModelMetadata = z.object({huggingface_url: z.string().min(1).nullable().optional(), vendor: z.string(), context_window_k: z.number().int(), size_b: z.number(), license: license.nullable().optional()});

export const rerankModelMetadata = z.object({huggingface_url: z.string().min(1).nullable().optional(), vendor: z.string(), context_window_k: z.number().int(), size_b: z.number(), is_instruction_aware: z.boolean().optional(), license: license.nullable().optional()});

export const gPUConfiguration = z.object({allowed_regions: z.array(z.string()), allowed_gpu_counts: z.array(z.number().int()), max_replicas_allowed: z.number().int()});

export const endpointConfigurations = z.object({gpu_configurations: z.record(z.string(), gPUConfiguration)});

export const modelFlavor = z.object({quantization: z.string(), use_cases: z.array(z.string()), tags: z.array(z.string()), base_model_slug: z.string().nullable(), available_configurations: endpointConfigurations});

export const appModelsEndpointsApiModel = z.object({name: z.string(), type: z.string(), metadata: z.union([text2TextModelMetadata, embeddingModelMetadata, image2TextModelMetadata, rerankModelMetadata]), flavors: z.record(z.string(), modelFlavor)});

export const modelsListResponse = z.object({data: z.array(appModelsEndpointsApiModel), object: 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
};

/**
 * List Dedicated Endpoint Templates
 * 
 * GET /v0/dedicated_endpoints/templates
 */
export const getApiV0DedicatedEndpointsTemplates = async (args: GetApiV0DedicatedEndpointsTemplatesArgs, options?: GetApiV0DedicatedEndpointsTemplatesOptions) => {
const {baseUrl = "https://api.tokenfactory.nebius.com", fetch: fetchFn = fetch, HTTPBearer} = options ?? {}

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

if (args.ai_project_id != null) query.append("ai_project_id", String(args.ai_project_id))
if (HTTPBearer !== undefined) headers.set('authorization', `Bearer ${HTTPBearer}`)

const url = `${baseUrl.replace(/\/+$/, '')}/v0/dedicated_endpoints/templates${query.size > 0 ? `?${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(modelsListResponse, await res.json())
};