import {z} from 'zod'

export type ChatCompletionRequestLLMArgs = {[key: string]: unknown};

export type GuardrailsSettings = {exception_message?: string | undefined, show_violated_responses?: boolean | undefined, guardrails_on_transcriptions?: boolean | undefined, vision_guardrails_enabled?: boolean | undefined, guardrails_vision_llm?: string | undefined, column_redaction_config?: Array<Array<string>> | undefined, disallowed_regex_patterns?: Array<string> | undefined, presidio_labels_to_flag?: Array<string> | undefined, pii_labels_to_flag?: Array<string> | undefined, pii_detection_parse_action?: ('allow' | 'redact' | 'fail') | undefined, pii_detection_llm_input_action?: ('allow' | 'redact' | 'fail') | undefined, pii_detection_llm_output_action?: ('allow' | 'redact' | 'fail') | undefined, prompt_guard_labels_to_flag?: Array<string> | undefined, guardrails_labels_to_flag?: Array<string> | undefined, guardrails_llm?: string | undefined, guardrails_safe_category?: string | undefined, guardrails_entities?: {[key: string]: string} | undefined, column_redaction_custom_entities_to_flag?: Array<string> | undefined, column_redaction_custom_entities?: {[key: string]: string} | undefined, custom_pii_entities_to_flag?: Array<string> | undefined, custom_pii_entities?: {[key: string]: string} | undefined};

export type SummarizeRequest = {text_context_list?: (Array<string | null>) | undefined, system_prompt?: string | undefined, llm_args?: ChatCompletionRequestLLMArgs | undefined, guardrails_settings?: GuardrailsSettings | undefined, timeout?: number | undefined, pre_prompt_summary?: string | undefined, prompt_summary?: string | undefined} | {[key: string]: unknown};

export type CreateApiModelsModelNameSummarizeContentArgs = {model_name: string, body: SummarizeRequest};

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

export const modelAnswer = z.object({content: z.string(), error: z.string(), prompt_raw: z.string().optional(), llm: z.string(), input_tokens: z.number().int().optional(), output_tokens: z.number().int().optional(), origin: 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
};

/**
 * Summarize one or more contexts using an LLM.
 * 
 * POST /models/{model_name}/summarize_content
 */
export const createApiModelsModelNameSummarizeContent = async (args: CreateApiModelsModelNameSummarizeContentArgs, options?: CreateApiModelsModelNameSummarizeContentOptions) => {
const {baseUrl = "https://h2ogpte.genai.h2o.ai/api/v1", 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 = `${baseUrl.replace(/\/+$/, '')}/models/${encodeURIComponent(String(args.model_name))}/summarize_content${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(modelAnswer, await res.json())
};