import {z} from 'zod'

export type StreamOptions = {include_usage?: (boolean | null) | undefined, include_internal_content?: (boolean | null) | undefined, buffer_tokens?: (number | null) | undefined, buffer_ms?: (number | null) | undefined, buffer_mode?: ('any' | 'all' | null) | undefined};

export type ResponseFormat = {type: 'json_object' | 'json_schema' | 'grammar' | 'text', schema?: ({[key: string]: unknown} | string | null) | undefined, grammar?: (string | null) | undefined, json_schema?: ({[key: string]: unknown} | string | null) | undefined};

export type ChatMessageContentImageURL = {url: string, detail?: (string | null) | undefined, max_long_side_pixel?: (number | null) | undefined};

export type ChatMessageContentVideoURL = {url: string, detail?: (string | null) | undefined, max_frames?: (number | null) | undefined, spatial_limit?: (number | null) | undefined, sample_fps?: (number | null) | undefined, fps?: (number | null) | undefined, max_long_side_pixel?: (number | null) | undefined};

export type ChatMessageContent = {type: string, text?: (string | null) | undefined, image_url?: (ChatMessageContentImageURL | null) | undefined, video_url?: (ChatMessageContentVideoURL | null) | undefined};

export type PredictedOutput = {content: string | Array<ChatMessageContent>, type?: 'content' | undefined};

export type ThinkingConfigEnabled = {type?: 'enabled' | undefined, budget_tokens?: (number | null) | undefined, keep?: ('all' | null) | undefined, budget_end_str?: (string | null) | undefined, effort?: ('low' | 'medium' | 'high' | 'xhigh' | 'max' | 'none' | 'adaptive' | number | boolean | null) | undefined};

export type ThinkingConfigDisabled = {type: 'disabled'};

export type ThinkingConfigAdaptive = {type: 'adaptive'};

export type CompletionRequest = {model: string, user?: (string | null) | undefined, prompt_cache_key?: (string | null) | undefined, prompt_cache_isolation_key?: (string | null) | undefined, raw_output?: (boolean | null) | undefined, perf_metrics_in_response?: (boolean | null) | undefined, stream?: (boolean | null) | undefined, stream_options?: (StreamOptions | null) | undefined, n?: number | undefined, service_tier?: ('auto' | 'default' | 'flex' | 'priority') | undefined, stop?: (string | Array<string> | null) | undefined, max_tokens?: (number | null) | undefined, max_completion_tokens?: (number | null) | undefined, temperature?: (number | null) | undefined, top_k?: (number | null) | undefined, top_p?: (number | null) | undefined, min_p?: (number | null) | undefined, typical_p?: (number | null) | undefined, frequency_penalty?: (number | null) | undefined, presence_penalty?: (number | null) | undefined, repetition_penalty?: (number | null) | undefined, mirostat_target?: (number | null) | undefined, mirostat_lr?: (number | null) | undefined, seed?: (number | null) | undefined, logprobs?: (number | boolean | null) | undefined, top_logprobs?: (number | null) | undefined, sampling_mask?: ('count' | 'non_zero_list' | 'non_zero_buffer' | null) | undefined, echo?: (boolean | null) | undefined, echo_last?: (number | null) | undefined, ignore_eos?: boolean | undefined, context_length_exceeded_behavior?: ('error' | 'truncate') | undefined, response_format?: (ResponseFormat | null) | undefined, logit_bias?: ({[key: string]: number} | null) | undefined, speculation?: (string | Array<number> | null) | undefined, prediction?: (PredictedOutput | string | null) | undefined, metadata?: ({[key: string]: string} | null) | undefined, reasoning_effort?: ('low' | 'medium' | 'high' | 'xhigh' | 'max' | 'none' | 'adaptive' | number | boolean | null) | undefined, reasoning_history?: ('disabled' | 'interleaved' | 'preserved' | null) | undefined, thinking?: (ThinkingConfigEnabled | ThinkingConfigDisabled | ThinkingConfigAdaptive | null) | undefined, return_token_ids?: (boolean | null) | undefined, prompt: string | Array<string> | Array<number> | Array<Array<number>>, images?: (Array<string> | Array<Array<string>> | null) | undefined};

export type CreateApiV1CompletionsArgs = {body: CompletionRequest};

export type CreateApiV1CompletionsOptions = {baseUrl: string, BearerAuth?: string | undefined, fetch?: typeof fetch | undefined};

export const logProbs = z.object({tokens: z.array(z.string()).optional(), token_logprobs: z.array(z.number()).optional(), top_logprobs: z.array(z.record(z.string(), z.number())).nullable().optional(), text_offset: z.array(z.number().int()).optional(), token_ids: z.array(z.number().int()).nullable().optional()});

export const newLogProbsContentTopLogProbs = z.object({token: z.string(), logprob: z.number(), token_id: z.number().int(), bytes: z.array(z.number().int()).optional()});

export const newLogProbsContent = z.object({token: z.string(), logprob: z.number(), sampling_logprob: z.number().nullable(), sampling_mask_count: z.number().int().nullable().optional(), sampling_mask: z.union([z.array(z.number().int()), z.string()]).nullable().optional(), bytes: z.array(z.number().int()), top_logprobs: z.array(newLogProbsContentTopLogProbs).optional(), token_id: z.number().int(), text_offset: z.number().int(), last_activation: z.string().nullable().optional(), routing_matrix: z.string().nullable().optional()});

export const newLogProbs = z.object({content: z.array(newLogProbsContent).optional()});

export const rawOutput = z.object({prompt_fragments: z.array(z.union([z.string(), z.number().int()])), prompt_token_ids: z.array(z.number().int()), completion: z.string(), completion_token_ids: z.array(z.number().int()).nullable().optional(), completion_logprobs: newLogProbs.nullable().optional(), images: z.array(z.string()).nullable().optional(), videos: z.array(z.string()).nullable().optional(), grammar: z.string().nullable().optional()});

export const choice = z.object({index: z.number().int(), text: z.string(), logprobs: z.union([logProbs, newLogProbs]).nullable().optional(), finish_reason: z.enum(["stop", "length", "error"]).nullable().optional(), raw_output: rawOutput.nullable().optional(), prompt_token_ids: z.array(z.number().int()).nullable().optional(), token_ids: z.array(z.number().int()).nullable().optional()});

export const promptTokensDetails = z.object({cached_tokens: z.number().int().nullable().optional()});

export const completionTokensDetails = z.object({reasoning_tokens: z.number().int().nullable().optional()});

export const usageInfo = z.object({prompt_tokens: z.number().int(), total_tokens: z.number().int(), completion_tokens: z.number().int().nullable().optional(), prompt_tokens_details: promptTokensDetails.nullable().optional(), completion_tokens_details: completionTokensDetails.nullable().optional(), output_tokens_details: completionTokensDetails.nullable().optional()});

export const completionResponse = z.object({id: z.string(), object: z.string().optional(), created: z.number().int(), model: z.string(), choices: z.array(choice), usage: usageInfo, perf_metrics: z.record(z.string(), z.unknown()).nullable().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 Completion
 * 
 * POST /v1/completions
 */
export const createApiV1Completions = async (args: CreateApiV1CompletionsArgs, options: CreateApiV1CompletionsOptions) => {
const {baseUrl, 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 (BearerAuth !== undefined) headers.set('authorization', `Bearer ${BearerAuth}`)

const url = `${baseUrl.replace(/\/+$/, '')}/v1/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(completionResponse, await res.json())
};