import {z} from 'zod'

export type ConversationMessage = {role?: ('user' | 'assistant') | undefined, content?: string | undefined, encoded?: boolean | undefined};

export type AIChatRequest = {prompt: string, conversationHistory?: Array<ConversationMessage> | undefined, sessionId?: string | undefined, sessionContinuationIds?: Array<string> | undefined, model?: string | undefined, provider?: ('vertex' | 'aws' | 'mock') | undefined, temperature?: number | undefined, maxTokens?: number | undefined};

export type CreateApiApiAiChatArgs = {body: AIChatRequest};

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

export const transformationComponent = z.object({original: z.string().optional(), twin: z.string().optional(), type: z.enum(["FIRST_NAME", "LAST_NAME", "CITY", "STATE", "DATE_FULL_FORMAT", "MONTH_NAME", "DAY", "YEAR"]).optional()});

export const transformation = z.object({originalHash: z.string().optional(), twinHash: z.string().optional(), entityType: z.enum(["PERSON", "EMAIL_ADDRESS", "PHONE_NUMBER", "US_SSN", "DATE_TIME", "LOCATION", "CREDIT_CARD", "IP_ADDRESS", "IBAN_CODE", "US_PASSPORT", "US_DRIVER_LICENSE", "NRP", "MEDICAL_LICENSE", "URL"]).optional(), catalogItemId: z.string().optional(), position: z.object({start: z.number().int().optional(), end: z.number().int().optional()}).optional(), score: z.number().gte(0).lte(1).optional(), original: z.string().optional(), twin: z.string().optional(), components: z.array(transformationComponent).optional()});

export const encodingStatistics = z.object({originalLength: z.number().int().optional(), encodedLength: z.number().int().optional(), piiEntitiesDetected: z.number().int().optional(), transformationsApplied: z.number().int().optional(), processingTimeMs: z.number().optional()});

export const decodedTransformation = z.object({twin: z.string().optional(), original: z.string().optional(), entityType: z.string().optional(), decrypted: z.boolean().optional(), catalogItemId: z.string().optional()});

export const aIChatResponse = z.object({success: z.boolean().optional(), originalPrompt: z.string().optional(), encodedPrompt: z.string().optional(), llmResponse: z.string().optional(), decodedResponse: z.string().optional(), continuationId: z.string().optional(), encoding: z.object({transformations: z.array(transformation).optional(), statistics: encodingStatistics.optional()}).optional(), llm: z.object({model: z.string().optional(), provider: z.string().optional(), finishReason: z.string().optional(), metadata: z.object({promptTokens: z.number().int().optional(), completionTokens: z.number().int().optional(), totalTokens: z.number().int().optional()}).optional()}).optional(), decoding: z.object({twinsDecoded: z.number().int().optional(), transformations: z.array(decodedTransformation).optional()}).optional(), processingTimeMs: z.number().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
};

/**
 * AI Chat
 * 
 * POST /api/ai/chat
 */
export const createApiApiAiChat = async (args: CreateApiApiAiChatArgs, options?: CreateApiApiAiChatOptions) => {
const {baseUrl = "https://api.privacypal.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 = `${baseUrl.replace(/\/+$/, '')}/api/ai/chat${query.size > 0 ? `?${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(aIChatResponse, await res.json())
};