import {z} from 'zod'

export type TextMessageContent = string;

export type TextContentPart = {type: 'text', text: string};

export type ImageUrl = {url: string, detail?: ('auto' | 'low' | 'high') | undefined};

export type ImageContentPart = {type: 'image_url', image_url: ImageUrl};

export type InputAudio = {data: string, format: 'wav' | 'mp3'};

export type InputAudioContentPart = {type: 'input_audio', input_audio: InputAudio};

export type ContentPart = TextContentPart | ImageContentPart | InputAudioContentPart;

export type MultimodalMessageContent = Array<ContentPart>;

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

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

export type LogitBias = {token_id: string, bias_value: number};

export type WebSearchConfig = {engine?: ('exa' | 'google') | undefined, max_results?: number | undefined, max_steps?: number | undefined};

export type WebSearchOptions = {search_context_size?: ('low' | 'medium' | 'high') | undefined, user_location?: ({type?: 'approximate' | undefined, country?: string | undefined, city?: string | undefined}) | undefined};

export type ImageConfig = {aspect_ratio?: string | undefined, image_size?: string | undefined, partial_images?: number | undefined, n?: number | undefined};

export type ReasoningConfig = {effort?: ('unspecified' | 'none' | 'minimal' | 'low' | 'medium' | 'high' | 'xhigh') | undefined, max_tokens?: number | undefined, exclude?: boolean | undefined};

export type ProviderConfig = {order?: Array<string> | undefined, allow_fallbacks?: boolean | undefined};

export type ExtraBody = {models?: Array<string> | undefined, ignore?: Array<string> | undefined, sort?: Array<string> | undefined, reasoning?: ReasoningConfig | undefined, provider?: ProviderConfig | undefined, prompt_variables?: {[key: string]: string} | undefined, web_search?: WebSearchConfig | undefined, web_search_options?: WebSearchOptions | undefined};

export type ChatCompletionRequest = {model: string, messages: Array<Message>, stream?: boolean | undefined, temperature?: number | undefined, top_p?: number | undefined, max_tokens?: number | undefined, max_completion_tokens?: number | undefined, presence_penalty?: number | undefined, frequency_penalty?: number | undefined, seed?: number | undefined, stop?: Array<string> | undefined, logit_bias?: Array<LogitBias> | undefined, reasoning_effort?: ('none' | 'low' | 'minimal' | 'medium' | 'high' | 'xhigh') | undefined, user?: string | undefined, web_search?: WebSearchConfig | undefined, web_search_options?: WebSearchOptions | undefined, modalities?: (Array<'text' | 'image'>) | undefined, image_config?: ImageConfig | undefined, extra_body?: ExtraBody | undefined};

export type CreateApiV1ChatCompletionsArgs = {body: ChatCompletionRequest};

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

export const choice = z.object({index: z.number().int().optional(), message: z.object({role: z.string().optional(), content: z.string().nullable().optional(), tool_calls: z.array(z.object({id: z.string().optional(), type: z.string().optional(), function: z.object({name: z.string().optional(), arguments: z.string().optional()}).optional()})).optional()}).optional(), finish_reason: z.string().optional()});

export const attempt = z.object({model: z.string().optional(), success: z.boolean().optional(), time_to_first_token_ms: z.number().int().optional()});

export const metadata = z.object({attempts: z.array(attempt).optional(), generation_id: z.string().optional(), reasoning: z.string().optional(), total_duration_ms: z.number().int().optional()});

export const chatCompletionResponse = z.object({id: z.string().optional(), object: z.string().optional(), created: z.number().int().optional(), model: z.string().optional(), choices: z.array(choice).optional(), usage: z.object({prompt_tokens: z.number().int().optional(), completion_tokens: z.number().int().optional(), total_tokens: z.number().int().optional()}).optional(), metadata: metadata.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 chat completion
 * 
 * POST /v1/chat/completions
 */
export const createApiV1ChatCompletions = async (args: CreateApiV1ChatCompletionsArgs, options?: CreateApiV1ChatCompletionsOptions) => {
const {baseUrl = "https://api.inworld.ai", fetch: fetchFn = fetch, inworldBasic} = options ?? {}

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

if (inworldBasic !== undefined) headers.set("Authorization", inworldBasic)

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(chatCompletionResponse, await res.json())
};