import {z} from 'zod'

export type AgentSerializationEnum = 'JsonConfluent' | 'AvroConfluent';

export type KBSourceConfig = {topic?: (string | null) | undefined, topicPattern?: (string | null) | undefined, inputSerialization?: AgentSerializationEnum | undefined, fields?: (Array<string> | null) | undefined, textFields?: (Array<string> | null) | undefined, metadataFields?: (Array<string> | null) | undefined};

export type KBTextConfig = {textTemplate?: string | undefined};

export type KBEmbeddingConfig = {embeddingConnectionId: string, model?: (string | null) | undefined, dimensions?: (number | null) | undefined, batchSize?: (number | null) | undefined};

export type KBVectorStoreConfig = {vectorStoreConnectionId: string, indexName: string, namespace?: (string | null) | undefined, metric?: ('cosine' | 'dot_product' | 'euclidean') | undefined};

export type KBProcessingConfig = {parallelism?: number | undefined, checkpointIntervalMin?: number | undefined, chunkSize?: number | undefined, chunkOverlap?: number | undefined};

export type CreateKnowledgeBaseRequest = {name: string, description?: (string | null) | undefined, source: KBSourceConfig, text?: KBTextConfig | undefined, embedding: KBEmbeddingConfig, vectorStore: KBVectorStoreConfig, processing?: KBProcessingConfig | undefined};

export type CreateApiKnowledgeBasesConfigArgs = {deploy?: boolean | undefined, body: CreateKnowledgeBaseRequest};

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

export const appModelsApiAgentsApiModelsFlinkJobsFlinkJobTypeEnum = z.enum(["pyflink", "jar", "agent_config", "knowledge_base"]);

export const flinkJobStatusEnum = z.enum(["CREATED", "DEPLOYING", "RUNNING", "CANCELLING", "CANCELLED", "FAILED", "FINISHED"]);

export const knowledgeBaseResponse = z.object({_id: z.string(), name: z.string(), job_type: appModelsApiAgentsApiModelsFlinkJobsFlinkJobTypeEnum, status: flinkJobStatusEnum, desired_status: flinkJobStatusEnum.nullable().optional(), flink_job_name: z.string(), flink_job_id: z.string().nullable().optional(), parallelism: z.number().int().optional(), error_message: z.string().nullable().optional(), agent_config: z.record(z.string(), z.unknown()).nullable().optional(), created_by: z.string().nullable().optional(), created_timestamp: z.string().nullable().optional(), updated_timestamp: z.string().nullable().optional()}).and(z.record(z.string(), z.unknown()));

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 Knowledge Base
 * 
 * POST /knowledge-bases/config
 */
export const createApiKnowledgeBasesConfig = async (args: CreateApiKnowledgeBasesConfigArgs, options?: CreateApiKnowledgeBasesConfigOptions) => {
const {baseUrl = "https://api.streamkap.com", fetch: fetchFn = fetch, FronteggHTTPAuthentication} = options ?? {}

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

if (args.deploy != null) query.append("deploy", String(args.deploy))
if (FronteggHTTPAuthentication !== undefined) headers.set('authorization', `Bearer ${FronteggHTTPAuthentication}`)

const url = `${baseUrl.replace(/\/+$/, '')}/knowledge-bases/config${query.size > 0 ? `?${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(knowledgeBaseResponse, await res.json())
};