import {z} from 'zod'

export type LlmObservabilityConnectionCreateSchema = {projectId?: string | undefined, name: string, provider: 'openai' | 'anthropic' | 'azure-openai' | 'aws-bedrock' | 'google-vertex-ai' | 'claude-enterprise' | 'microsoft-365-copilot', config?: Record<string, never> | undefined, secrets: string, isEnabled?: boolean | undefined, storeConversationText?: boolean | undefined, conversationReaders?: ('admins' | 'everyone') | undefined};

export type CreateApiLlmObservabilityConnectionArgs = {body: {data: LlmObservabilityConnectionCreateSchema}};

export type CreateApiLlmObservabilityConnectionOptions = {baseUrl?: string | undefined, ApiKey?: string | undefined, fetch?: typeof fetch | undefined};

export const llmObservabilityConnectionReadSchema = z.object({_id: z.string().optional(), createdAt: z.object({}).optional(), updatedAt: z.object({}).optional(), deletedAt: z.object({}).optional(), projectId: z.string().optional(), name: z.string(), provider: z.enum(["openai", "anthropic", "azure-openai", "aws-bedrock", "google-vertex-ai", "claude-enterprise", "microsoft-365-copilot"]), config: z.object({}).optional(), isEnabled: z.boolean().optional(), storeConversationText: z.boolean().optional(), conversationReaders: z.enum(["admins", "everyone"]).optional(), serviceId: z.string().optional(), nextPullAt: z.object({}).optional(), lastPulledAt: z.object({}).optional(), lastSuccessfulPullAt: z.object({}).optional(), lastPullResult: z.object({}).optional(), lastError: z.string().optional(), createdByUserId: z.string().optional(), deletedByUserId: z.string().optional()});

export const createApiLlmObservabilityConnectionResponse = z.object({data: llmObservabilityConnectionReadSchema.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 AI Connection
 * 
 * POST /llm-observability-connection
 */
export const createApiLlmObservabilityConnection = async (args: CreateApiLlmObservabilityConnectionArgs, options?: CreateApiLlmObservabilityConnectionOptions) => {
const {baseUrl = "https://oneuptime.com/api", fetch: fetchFn = fetch, ApiKey} = options ?? {}

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

if (ApiKey !== undefined) headers.set("APIKey", ApiKey)

const url = `${baseUrl.replace(/\/+$/, '')}/llm-observability-connection${query.size > 0 ? `?${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(createApiLlmObservabilityConnectionResponse, await res.json())
};