import {z} from 'zod'

export type AssistantDataMessageModel = {role?: string | undefined, content?: string | undefined};

export type AssistantDataContextRequest = {query?: string | undefined, filter?: Record<string, never> | undefined, messages?: Array<AssistantDataMessageModel> | undefined, top_k?: number | undefined, snippet_size?: number | undefined, multimodal?: boolean | undefined, include_binary_content?: boolean | undefined};

export type CreateApiChatAssistantNameContextArgs = {'X-Pinecone-Api-Version': string, assistant_name: string, body: AssistantDataContextRequest};

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

export const assistantDataAssistantFileModel = z.object({name: z.string(), id: z.string(), size: z.number().int().optional(), metadata: z.object({}).nullable().optional(), created_on: z.string().optional(), updated_on: z.string().optional(), status: z.string().optional(), signed_url: z.string().nullable().optional(), multimodal: z.boolean().optional()});

export const assistantDataTypedReferenceModel = z.discriminatedUnion("type", [z.object({type: z.string(), file: assistantDataAssistantFileModel}), z.object({type: z.string(), file: assistantDataAssistantFileModel}), z.object({type: z.string(), file: assistantDataAssistantFileModel}), z.object({type: z.string(), file: assistantDataAssistantFileModel, pages: z.array(z.number().int())}), z.object({type: z.string(), file: assistantDataAssistantFileModel, pages: z.array(z.number().int())})]);

export const assistantDataImageModel = z.object({type: z.string(), mime_type: z.string(), data: z.string()}).nullable();

export const assistantDataMultiModalContentBlocksModel = z.discriminatedUnion("type", [z.object({type: z.string(), text: z.string()}), z.object({type: z.string(), caption: z.string(), image: assistantDataImageModel.optional()})]);

export const assistantDataSnippetModel = z.discriminatedUnion("type", [z.object({type: z.string(), content: z.string(), score: z.number(), reference: assistantDataTypedReferenceModel}), z.object({type: z.string(), content: z.array(assistantDataMultiModalContentBlocksModel), score: z.number(), reference: assistantDataTypedReferenceModel})]);

export const assistantDataUsageModel = z.object({prompt_tokens: z.number().int().optional(), completion_tokens: z.number().int().optional(), total_tokens: z.number().int().optional()});

export const assistantDataContextModel = z.object({id: z.string().optional(), snippets: z.array(assistantDataSnippetModel), usage: assistantDataUsageModel});

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
};

/**
 * Retrieve context from an assistant
 * 
 * POST /chat/{assistant_name}/context
 */
export const createApiChatAssistantNameContext = async (args: CreateApiChatAssistantNameContextArgs, options?: CreateApiChatAssistantNameContextOptions) => {
const {baseUrl = "https://api.pinecone.io", fetch: fetchFn = fetch, ApiKeyAuth} = options ?? {}

const query = new URLSearchParams()
const headers = new Headers()
headers.set('content-type', "application/json")
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 = `${baseUrl.replace(/\/+$/, '')}/chat/${encodeURIComponent(String(args.assistant_name))}/context${query.size > 0 ? `?${query}` : ''}`

const res = await fetchFn(url, {method: "POST", 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(assistantDataContextModel, await res.json())
};