import {z} from 'zod'

export type TextChunk = {text: string, type?: 'text' | undefined};

export type SystemMessage = {role?: 'system' | undefined, content: string | Array<TextChunk>};

export type ImageURLChunk = {image_url: {detail?: (string | null) | undefined, url: string} | string, type?: 'image_url' | undefined};

export type DocumentURLChunk = {document_name?: (string | null) | undefined, type?: string | undefined, document_url: string};

export type ReferenceChunk = {reference_ids: Array<number>, type?: 'reference' | undefined};

export type ContentChunk = TextChunk | ImageURLChunk | DocumentURLChunk | ReferenceChunk;

export type UserMessage = {role?: 'user' | undefined, content: string | Array<ContentChunk> | null};

export type FunctionCall = {name: string, arguments: {[key: string]: unknown} | string};

export type ToolTypes = 'function';

export type ToolCall = {function: FunctionCall, index?: number | undefined, id?: string | undefined, type?: ToolTypes | undefined};

export type AssistantMessage = {role?: 'assistant' | undefined, prefix?: boolean | undefined, tool_calls?: (Array<ToolCall> | null) | undefined, content?: (string | Array<ContentChunk> | null) | undefined};

export type ToolMessage = {role?: 'tool' | undefined, tool_call_id?: (string | null) | undefined, name?: (string | null) | undefined, content: string | Array<ContentChunk> | null};

export type ChatModerationRequest = {truncate_for_context_length?: boolean | undefined, input: Array<SystemMessage | UserMessage | AssistantMessage | ToolMessage> | Array<Array<SystemMessage | UserMessage | AssistantMessage | ToolMessage>>, model: string};

export type CreateApiChatModerationsArgs = {body: ChatModerationRequest};

export type CreateApiChatModerationsOptions = {baseUrl?: string | undefined, ApiKey?: string | undefined, fetch?: typeof fetch | undefined};

export const classificationObject = z.object({category_scores: z.record(z.string(), z.number()).optional(), categories: z.record(z.string(), z.boolean()).optional()});

export const classificationResponse = z.object({model: z.string().optional(), id: z.string().optional(), results: z.array(classificationObject).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
};

/**
 * Moderations Chat
 * 
 * POST /chat/moderations
 */
export const createApiChatModerations = async (args: CreateApiChatModerationsArgs, options?: CreateApiChatModerationsOptions) => {
const {baseUrl = "https://api.mistral.ai/v1", 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 (ApiKey !== undefined) headers.set('authorization', `Bearer ${ApiKey}`)

const url = `${baseUrl.replace(/\/+$/, '')}/chat/moderations${query.size > 0 ? `?${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(classificationResponse, await res.json())
};