import {z} from 'zod'

export type WriteOrdering = 'weak' | 'medium' | 'strong';

export type Distance = 'Cosine' | 'Euclid' | 'Dot' | 'Manhattan';

export type MultiVectorComparator = 'max_sim';

export type MultiVectorConfig = {comparator: MultiVectorComparator};

export type VectorStorageDatatype = 'float32' | 'float16' | 'uint8' | 'turbo4' | 'turbo8' | 'turbo16';

export type DenseVectorConfig = {size: number, distance: Distance, multivector_config?: (MultiVectorConfig | unknown) | undefined, datatype?: (VectorStorageDatatype | unknown) | undefined};

export type DenseVectorNameConfig = {dense: DenseVectorConfig};

export type Modifier = 'none' | 'idf';

export type SparseVectorConfig = {modifier?: (Modifier | unknown) | undefined, datatype?: (VectorStorageDatatype | unknown) | undefined};

export type SparseVectorNameConfig = {sparse: SparseVectorConfig};

export type VectorNameConfig = DenseVectorNameConfig | SparseVectorNameConfig;

export type UpdateApiCollectionsCollectionNameVectorsVectorNameArgs = {collection_name: string, vector_name: string, wait?: boolean | undefined, ordering?: WriteOrdering | undefined, timeout?: number | undefined, body: VectorNameConfig};

export type UpdateApiCollectionsCollectionNameVectorsVectorNameOptions = {baseUrl?: string | undefined, apiKey?: string | undefined, fetch?: typeof fetch | undefined};

export const hardwareUsage = z.object({cpu: z.number().int().gte(0), payload_io_read: z.number().int().gte(0), payload_io_write: z.number().int().gte(0), payload_index_io_read: z.number().int().gte(0), payload_index_io_write: z.number().int().gte(0), vector_io_read: z.number().int().gte(0), vector_io_write: z.number().int().gte(0)});

export const modelUsage = z.object({tokens: z.number().int().gte(0)});

export const inferenceUsage = z.object({models: z.record(z.string(), modelUsage)});

export const usage = z.object({hardware: z.union([hardwareUsage, z.unknown()]).optional(), inference: z.union([inferenceUsage, z.unknown()]).optional()});

export const updateStatus = z.enum(["acknowledged", "completed", "wait_timeout"]);

export const updateResult = z.object({operation_id: z.number().int().gte(0).nullable().optional(), status: updateStatus});

export const updateApiCollectionsCollectionNameVectorsVectorNameResponse = z.object({usage: z.union([usage, z.unknown()]).optional(), time: z.number().optional(), status: z.string().optional(), result: updateResult.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
};

/**
 * Create named vector
 * 
 * PUT /collections/{collection_name}/vectors/{vector_name}
 * 
 * Also accepts auth: bearerAuth
 */
export const updateApiCollectionsCollectionNameVectorsVectorName = async (args: UpdateApiCollectionsCollectionNameVectorsVectorNameArgs, options?: UpdateApiCollectionsCollectionNameVectorsVectorNameOptions) => {
const {baseUrl = "http://localhost:6333", fetch: fetchFn = fetch, apiKey} = options ?? {}

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

if (args.wait != null) query.append("wait", String(args.wait))
if (args.ordering != null) query.append("ordering", String(args.ordering))
if (args.timeout != null) query.append("timeout", String(args.timeout))
if (apiKey !== undefined) headers.set("api-key", apiKey)

const url = `${baseUrl.replace(/\/+$/, '')}/collections/${encodeURIComponent(String(args.collection_name))}/vectors/${encodeURIComponent(String(args.vector_name))}${query.size > 0 ? `?${query}` : ''}`

const res = await fetchFn(url, {method: "PUT", headers, body: JSON.stringify(args.body)})

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

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