import {z} from 'zod'

export type MessageContentPart = {type: 'text' | 'image_url' | 'video_url', text?: string | undefined, image_url?: ({url: string, detail?: ('low' | 'default' | 'high') | undefined, max_long_side_pixel?: number | undefined}) | undefined, video_url?: ({url: string, detail?: ('low' | 'default' | 'high') | undefined, fps?: number | undefined, max_long_side_pixel?: number | undefined}) | undefined};

export type ToolCall = {id: string, type: 'function', function: {name: string, arguments: string}};

export type Message = {role: 'system' | 'user' | 'assistant' | 'tool', name?: string | undefined, content?: (string | Array<MessageContentPart>) | undefined, tool_calls?: Array<ToolCall> | undefined, tool_call_id?: string | undefined};

export type ChatCompletionReq = {model: 'MiniMax-M3.1-Flash' | 'MiniMax-M3', service_tier?: ('standard' | 'priority') | undefined, messages: Array<Message>, thinking?: ({type?: ('disabled' | 'adaptive') | undefined}) | undefined, reasoning_effort?: ('low' | 'medium' | 'high' | 'xhigh' | 'max') | undefined, reasoning_split?: boolean | undefined, stream?: boolean | undefined, stream_options?: ({include_usage?: boolean | undefined}) | undefined, max_completion_tokens?: number | undefined, temperature?: number | undefined, top_p?: number | undefined, tools?: (Array<{type: 'function', function: {name: string, description?: string | undefined, parameters: Record<string, never>}}>) | undefined, max_tokens?: number | undefined};

export type CreateApiV1ChatCompletionsArgs = {'Content-Type': 'application/json', body: ChatCompletionReq};

export type CreateApiV1ChatCompletionsOptions = {baseUrl?: string | undefined, bearerAuth?: string | undefined, fetch?: typeof fetch | undefined};

export const toolCall = z.object({id: z.string(), type: z.literal("function"), function: z.object({name: z.string(), arguments: z.string()})});

export const usage = z.object({total_tokens: z.number().int().optional()});

export const chatCompletionResp = z.object({id: z.string().optional(), choices: z.array(z.object({finish_reason: z.enum(["stop", "length", "content_filter", "tool_calls"]).optional(), index: z.number().int().optional(), message: z.object({content: z.string(), reasoning_content: z.string().optional(), role: z.literal("assistant"), tool_calls: z.array(toolCall).optional()}).optional()})).optional(), created: z.number().int().optional(), model: z.string().optional(), object: z.enum(["chat.completion", "chat.completion.chunk"]).optional(), usage: usage.optional(), input_sensitive: z.boolean().optional(), input_sensitive_type: z.number().int().optional(), output_sensitive: z.boolean().optional(), output_sensitive_type: z.number().int().optional(), base_resp: z.object({status_code: z.number().int().optional(), status_msg: z.string().optional()}).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
};

/**
 * Text Generation OpenAI
 * 
 * POST /v1/chat/completions
 */
export const createApiV1ChatCompletions = async (args: CreateApiV1ChatCompletionsArgs, options?: CreateApiV1ChatCompletionsOptions) => {
const {baseUrl = "https://api.minimax.io", fetch: fetchFn = fetch, bearerAuth} = options ?? {}

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

if (args['Content-Type'] != null) headers.set("Content-Type", String(args['Content-Type']))
if (bearerAuth !== undefined) headers.set('authorization', `Bearer ${bearerAuth}`)

const url = `${baseUrl.replace(/\/+$/, '')}/v1/chat/completions${query.size > 0 ? `?${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(chatCompletionResp, await res.json())
};