import {z} from 'zod'

export type GetApiModelsModelNameArgs = {'X-Pinecone-Api-Version': string, model_name: string};

export type GetApiModelsModelNameOptions = {baseUrl?: string | undefined, ApiKeyAuth?: string | undefined, fetch?: typeof fetch | undefined};

export const inferenceModelInfoMetric = z.string();

export const inferenceModelInfoSupportedMetrics = z.array(inferenceModelInfoMetric);

export const inferenceModelInfoSupportedParameter = z.object({parameter: z.string(), type: z.string(), value_type: z.string(), required: z.boolean(), allowed_values: z.array(z.union([z.string(), z.number().int()])).optional(), min: z.number().optional(), max: z.number().optional(), default: z.union([z.string(), z.number().int(), z.number(), z.boolean()]).optional()});

export const inferenceModelInfo = z.object({model: z.string(), short_description: z.string(), type: z.string(), vector_type: z.string().optional(), default_dimension: z.number().int().gte(1).lte(20000).optional(), modality: z.string().optional(), max_sequence_length: z.number().int().gte(1).optional(), max_batch_size: z.number().int().gte(1).optional(), provider_name: z.string().optional(), supported_dimensions: z.array(z.number().int().gte(1).lte(20000)).optional(), supported_metrics: inferenceModelInfoSupportedMetrics.optional(), supported_parameters: z.array(inferenceModelInfoSupportedParameter)});

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
};

/**
 * Describe a model
 * 
 * GET /models/{model_name}
 */
export const getApiModelsModelName = async (args: GetApiModelsModelNameArgs, options?: GetApiModelsModelNameOptions) => {
const {baseUrl = "https://api.pinecone.io", fetch: fetchFn = fetch, ApiKeyAuth} = options ?? {}

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

if (args['X-Pinecone-Api-Version'] != null) headers.set("X-Pinecone-Api-Version", String(args['X-Pinecone-Api-Version']))
if (ApiKeyAuth !== undefined) headers.set("Api-Key", ApiKeyAuth)

const url = `${baseUrl.replace(/\/+$/, '')}/models/${encodeURIComponent(String(args.model_name))}${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(inferenceModelInfo, await res.json())
};