import {z} from 'zod'

export type EvaluatorPropertyType = 'string' | 'int' | 'float' | 'boolean' | 'enum';

export type EvaluatorProperty = {description?: string | undefined, enum_values?: Array<string> | undefined, label?: string | undefined, name: string, type: EvaluatorPropertyType};

export type ModelLLMMessage = {content?: string | undefined, role?: string | undefined, tool_call_id?: string | undefined};

export type RequestCreateCustomEvaluatorInput = {description?: string | undefined, frequency_penalty?: number | undefined, input_schema: Array<EvaluatorProperty>, logprobs?: boolean | undefined, max_tokens?: number | undefined, messages: Array<ModelLLMMessage>, mode?: string | undefined, model: string, name: string, output_schema: Array<EvaluatorProperty>, presence_penalty?: number | undefined, provider: string, slug?: string | undefined, stop?: Array<string> | undefined, temperature?: number | undefined, top_p?: number | undefined};

export type CreateApiV2EvaluatorsArgs = {body: RequestCreateCustomEvaluatorInput};

export type CreateApiV2EvaluatorsOptions = {baseUrl?: string | undefined, fetch?: typeof fetch | undefined};

export const typesEvaluatorType = z.enum(["AGENT_GOAL_ACCURACY", "CHAR_COUNT", "CHAR_COUNT_RATIO", "ANSWER_COMPLETENESS", "FAITHFULNESS", "JSON_VALIDATOR", "PERPLEXITY", "PII_DETECTOR", "PLACEHOLDER_REGEX", "PROFANITY_DETECTOR", "SEXISM_DETECTOR", "PROMPT_INJECTION", "TONE_DETECTION", "PROMPT_PERPLEXITY", "TOXICITY_DETECTOR", "ANSWER_RELEVANCY", "ANSWER_CORRECTNESS", "REGEX_VALIDATOR", "SECRETS_DETECTOR", "SQL_VALIDATOR", "SEMANTIC_SIMILARITY", "TOPIC_ADHERENCE", "UNCERTAINTY_DETECTOR", "WORD_COUNT", "WORD_COUNT_RATIO", "INSTRUCTION_ADHERENCE", "AGENT_FLOW_QUALITY", "AGENT_EFFICIENCY", "AGENT_GOAL_COMPLETENESS", "CONVERSATION_QUALITY", "INTENT_CHANGE", "CONTEXT_RELEVANCE", "AGENT_TOOL_ERROR_DETECTOR", "AGENT_TOOL_TRAJECTORY", "HTML_COMPARISON", "LLM_AS_A_JUDGE"]);

export const responseCreateEvaluatorResponse = z.object({bindings: z.array(z.string()).optional(), evaluator_id: z.string().optional(), slug: z.string().optional(), type: typesEvaluatorType.optional(), version_id: z.string().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 a custom LLM-as-a-judge evaluator
 * 
 * POST /v2/evaluators
 */
export const createApiV2Evaluators = async (args: CreateApiV2EvaluatorsArgs, options?: CreateApiV2EvaluatorsOptions) => {
const {baseUrl = "https://api.traceloop.com", fetch: fetchFn = fetch} = options ?? {}

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

const url = `${baseUrl.replace(/\/+$/, '')}/v2/evaluators${query.size > 0 ? `?${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(responseCreateEvaluatorResponse, await res.json())
};