import {z} from 'zod'

export type DecisionInputPart = {type: 'input_text', text: string, prompt_cache_breakpoint?: ({mode?: 'explicit' | undefined} | null) | undefined} | {type: 'input_image', image_url: string, detail?: ('low' | 'high' | 'auto' | 'original' | 'null' | null) | undefined, prompt_cache_breakpoint?: ({mode?: 'explicit' | undefined} | null) | undefined} | {type: 'input_json', data: Record<string, never> | Array<Record<string, never>>};

export type DecisionMessage = {type?: 'message' | undefined, role: 'user', content: string | Array<DecisionInputPart>};

export type DecisionInput = string | Array<DecisionMessage>;

export type DecisionQuestion = {type: 'predicate', name?: (string | null) | undefined, instructions: string} | {type: 'choice', name?: (string | null) | undefined, instructions: string, choices: Array<{value: string | boolean, description?: (string | null) | undefined}>} | {type: 'score', name?: (string | null) | undefined, instructions: string, levels: Array<{label: string, description?: (string | null) | undefined}>};

export type DecisionRequest = {model?: string | undefined, input: DecisionInput, questions: Array<DecisionQuestion>, safety_identifier?: (string | null) | undefined, prompt_cache_key?: (string | null) | undefined, prompt_cache_options?: ({mode?: ('implicit' | 'explicit' | 'null' | null) | undefined, ttl?: '30m' | undefined} | null) | undefined};

export type CreateApiV1DecisionsArgs = {body: DecisionRequest};

export type CreateApiV1DecisionsOptions = {baseUrl?: string | undefined, bearerAuth?: string | undefined, fetch?: typeof fetch | undefined};

export const decisionAnswer = z.union([z.object({type: z.literal("predicate"), name: z.string().nullable(), probability: z.number().gte(0).lte(1)}), z.object({type: z.literal("choice"), name: z.string().nullable(), choice: z.union([z.string(), z.boolean()]), confidence: z.number().gte(0).lte(1), probabilities: z.array(z.object({value: z.union([z.string(), z.boolean()]), probability: z.number()}))}), z.object({type: z.literal("score"), name: z.string().nullable(), score: z.number(), confidence: z.number().gte(0).lte(1), probabilities: z.array(z.object({value: z.number().int(), label: z.string(), probability: z.number()}))}), z.object({type: z.literal("refusal"), name: z.string().nullable()})]);

export const decisionUsage = z.object({input_tokens: z.number().int(), output_tokens: z.number().int(), total_tokens: z.number().int(), input_tokens_details: z.object({cached_tokens: z.literal(0), cache_write_tokens: z.literal(0)}), output_tokens_details: z.object({reasoning_tokens: z.literal(0)})});

export const requestId = z.string();

export const decisionResponse = z.object({model: z.enum(["drex-v1.5", "drex-v2.0", "drex-max", "drex-max-v1.1", "drex-max-finance"]), answers: z.array(decisionAnswer), usage: decisionUsage, request_id: requestId});

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
};

/**
 * Evaluate questions (OpenAI Decisions format)
 * 
 * POST /v1/decisions
 */
export const createApiV1Decisions = async (args: CreateApiV1DecisionsArgs, options?: CreateApiV1DecisionsOptions) => {
const {baseUrl = "https://console.nace.ai", 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/decisions${query.size > 0 ? `?${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(decisionResponse, await res.json())
};