import {z} from 'zod'

export type AgentLlmProviderEnum = 'anthropic' | 'openai' | 'openai-responses' | 'ollama' | 'azure' | 'azure-openai' | 'bedrock' | 'qwen' | 'openai-compatible';

export type ConnectionCapability = 'chat' | 'embedding';

export type ChatDefaults = {model?: string | undefined, temperature?: (number | null) | undefined, maxTokens?: (number | null) | undefined, timeout?: (number | null) | undefined, reasoningEffort?: ('none' | 'minimal' | 'low' | 'medium' | 'high' | 'xhigh' | null) | undefined, thinkingBudgetTokens?: (number | null) | undefined, ollamaThink?: (boolean | null) | undefined, maxRetries?: (number | null) | undefined, region?: (string | null) | undefined, strict?: (boolean | null) | undefined, store?: (boolean | null) | undefined, instructions?: (string | null) | undefined, additionalKwargs?: ({[key: string]: unknown} | null) | undefined, apiVersion?: (string | null) | undefined, azureEndpoint?: (string | null) | undefined, azureUrlPathMode?: ('AUTO' | 'LEGACY' | 'UNIFIED' | null) | undefined};

export type EmbeddingDefaults = {model?: string | undefined, dimensions?: (number | null) | undefined, batchSize?: number | undefined, region?: (string | null) | undefined, maxRetries?: (number | null) | undefined};

export type AgentLlmConnection = {id?: (string | null) | undefined, name: string, provider: AgentLlmProviderEnum, apiKey?: string | undefined, baseUrl?: (string | null) | undefined, capabilities: Array<ConnectionCapability>, chat?: (ChatDefaults | null) | undefined, embedding?: (EmbeddingDefaults | null) | undefined, description?: (string | null) | undefined};

export type StreamkapMcpConnection = {source?: 'streamkap' | undefined, name: string, serverUrl?: string | undefined, headers?: {[key: string]: string} | undefined};

export type ExternalMcpNoneConnection = {source?: 'external' | undefined, name: string, serverUrl: string, authMode: 'none'};

export type ExternalMcpBearerConnection = {source?: 'external' | undefined, name: string, serverUrl: string, authMode: 'bearer', bearerToken: string};

export type ExternalMcpHeaderConnection = {source?: 'external' | undefined, name: string, serverUrl: string, authMode: 'header', headerName: string, headerValue: string};

export type AgentHttpConnection = {id?: (string | null) | undefined, name: string, baseUrl?: (string | null) | undefined, headers?: {[key: string]: string} | undefined, description?: (string | null) | undefined};

export type VectorStoreProviderEnum = 'pgvector' | 'pinecone' | 'milvus' | 'opensearch' | 'elasticsearch' | 's3vectors' | 'redis';

export type AgentVectorStoreConnection = {id?: (string | null) | undefined, name: string, provider: VectorStoreProviderEnum, apiKey?: string | undefined, endpoint?: (string | null) | undefined, defaultNamespace?: (string | null) | undefined, allowHashFallback?: boolean | undefined, jdbcUrl?: (string | null) | undefined, username?: (string | null) | undefined, password?: (string | null) | undefined, table?: (string | null) | undefined, dims?: (number | null) | undefined, metric?: (string | null) | undefined, properties?: ({[key: string]: unknown} | null) | undefined, description?: (string | null) | undefined};

export type AgentConnections = {llmConnections?: Array<AgentLlmConnection> | undefined, mcpConnections?: (Array<StreamkapMcpConnection | ExternalMcpNoneConnection | ExternalMcpBearerConnection | ExternalMcpHeaderConnection>) | undefined, httpConnections?: Array<AgentHttpConnection> | undefined, vectorStoreConnections?: Array<AgentVectorStoreConnection> | undefined};

export type UpdateApiAgentsConnectionsArgs = {body: AgentConnections};

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

export const updateApiAgentsConnectionsResponse = 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
};

/**
 * Update Agent Connections
 * 
 * PUT /agents/connections
 */
export const updateApiAgentsConnections = async (args: UpdateApiAgentsConnectionsArgs, options?: UpdateApiAgentsConnectionsOptions) => {
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 (FronteggHTTPAuthentication !== undefined) headers.set('authorization', `Bearer ${FronteggHTTPAuthentication}`)

const url = `${baseUrl.replace(/\/+$/, '')}/agents/connections${query.size > 0 ? `?${query}` : ''}`

const res = await fetchFn(url, {method: "PUT", 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(updateApiAgentsConnectionsResponse, await res.json())
};