import {z} from 'zod'

export type CreateApiV20AiagentsArgs = {Accept?: ('application/json' | 'application/hal+json' | 'application/xml' | 'text/xml' | 'text/csv') | undefined, body: {name?: string | undefined, image?: string | undefined, imageOptimizedFormat?: boolean | undefined, knowledgeReferenceId?: (string | null) | undefined, description?: string | undefined, speakingStyle?: ({completeness?: string | undefined, formality?: string | undefined}) | undefined, voiceConfigs?: ({ttsVoice?: string | undefined, ttsLanguage?: string | undefined, ttsVendor?: ('aws' | 'deepgram' | 'elevenlabs' | 'google' | 'microsoft' | 'nuance' | 'default' | 'custom' | 'none') | undefined, ttsModel?: string | undefined, ttsLabel?: string | undefined, ttsDisableCache?: boolean | undefined}) | undefined, enableVoiceConfigs?: boolean | undefined, enableAutoLanguageDetection?: boolean | undefined, safetySettings?: ({avoidHarmfulContent?: boolean | undefined, avoidUngroundedContent?: boolean | undefined, avoidCopyrightInfringements?: boolean | undefined, preventJailbreakAndManipulation?: boolean | undefined}) | undefined, contactProfilesOption?: ('none' | 'selectedProfileFields' | 'completeProfile' | 'profileMemoriesOnly') | undefined, contactProfilesSelected?: Array<string> | undefined, instructions?: string | undefined, projectId?: string | undefined}};

export type CreateApiV20AiagentsOptions = {baseUrl?: string | undefined, APIKeyHeader?: string | undefined, fetch?: typeof fetch | undefined};

export const createApiV20AiagentsResponse = z.object({name: z.string().optional(), image: z.string().optional(), imageOptimizedFormat: z.boolean().optional(), knowledgeReferenceId: z.string().nullable().optional(), description: z.string().max(1000).optional(), speakingStyle: z.object({completeness: z.string().optional(), formality: z.string().optional()}).optional(), voiceConfigs: z.object({ttsVoice: z.string().optional(), ttsLanguage: z.string().optional(), ttsVendor: z.enum(["aws", "deepgram", "elevenlabs", "google", "microsoft", "nuance", "default", "custom", "none"]).optional(), ttsModel: z.string().optional(), ttsLabel: z.string().optional(), ttsDisableCache: z.boolean().optional()}).optional(), enableVoiceConfigs: z.boolean().optional(), enableAutoLanguageDetection: z.boolean().optional(), safetySettings: z.object({avoidHarmfulContent: z.boolean().optional(), avoidUngroundedContent: z.boolean().optional(), avoidCopyrightInfringements: z.boolean().optional(), preventJailbreakAndManipulation: z.boolean().optional()}).optional(), contactProfilesOption: z.enum(["none", "selectedProfileFields", "completeProfile", "profileMemoriesOnly"]).optional(), contactProfilesSelected: z.array(z.string()).optional(), instructions: z.string().max(1000).optional(), _id: z.string().min(24).max(24).optional(), createdAt: z.number().int().gte(0).lte(2147483647).optional(), lastChanged: z.number().int().gte(0).lte(2147483647).optional(), createdBy: z.string().min(24).max(24).optional(), lastChangedBy: z.string().min(24).max(24).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 an AI Agent
 * 
 * POST /v2.0/aiagents
 * 
 * Also accepts auth: APIKeyQueryParam, CXoneTokenHeader, OAuth2
 */
export const createApiV20Aiagents = async (args: CreateApiV20AiagentsArgs, options?: CreateApiV20AiagentsOptions) => {
const {baseUrl = "https://api-trial.cognigy.ai/testing", fetch: fetchFn = fetch, APIKeyHeader} = options ?? {}

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

if (args.Accept != null) headers.set("Accept", String(args.Accept))
if (APIKeyHeader !== undefined) headers.set("X-API-Key", APIKeyHeader)

const url = `${baseUrl.replace(/\/+$/, '')}/v2.0/aiagents${query.size > 0 ? `?${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(createApiV20AiagentsResponse, await res.json())
};