import {z} from 'zod'

export type RepeatInterval = {strategy?: 'default' | undefined} | {strategy: 'fixed', interval: number} | {strategy: 'linear', min: number, max: number} | {strategy: 'exponential', min: number, max: number};

export type MonitorMetric = {name: string, alias?: string | undefined};

export type Column = {name?: string | undefined, unit?: string | undefined};

export type Recovery = {minValue?: number | undefined, maxValue?: number | undefined};

export type ManualDetectorParams = {minValue?: number | undefined, maxValue?: number | undefined, recovery?: Recovery | undefined};

export type AutoDetectorParams = {tolerance?: ('low' | 'medium' | 'high') | undefined, trainingPeriod?: number | undefined, minDevFraction?: number | undefined, minDevAbsolute?: number | undefined};

export type DetectorConfig = {type: 'manual' | 'auto', params: ManualDetectorParams | AutoDetectorParams};

export type MetricMonitorParams = {metrics: Array<MonitorMetric>, query: string, column?: Column | undefined, resolution?: number | undefined, numEvalPoints?: number | undefined, absentPoints?: ('zero' | 'ignore' | 'alert') | undefined, timeOffset?: number | undefined, detector: DetectorConfig};

export type MetricMonitorRequest = {name: string, notifyEveryoneByEmail?: boolean | undefined, teamIds?: Array<number> | undefined, channelIds?: Array<number> | undefined, repeatInterval?: RepeatInterval | undefined, trendAggFunc?: ('sum' | 'avg' | 'median' | 'last') | undefined, trendSensitivity?: ('low' | 'medium' | 'high') | undefined, type: 'metric', params: MetricMonitorParams};

export type ErrorMonitorParams = {metrics: Array<MonitorMetric>, query: string};

export type ErrorMonitorRequest = {name: string, notifyEveryoneByEmail?: boolean | undefined, teamIds?: Array<number> | undefined, channelIds?: Array<number> | undefined, repeatInterval?: RepeatInterval | undefined, trendAggFunc?: ('sum' | 'avg' | 'median' | 'last') | undefined, trendSensitivity?: ('low' | 'medium' | 'high') | undefined, type: 'error', params: ErrorMonitorParams};

export type CreateApiInternalV1MonitorsProjectIdArgs = {project_id: number, body: MetricMonitorRequest | ErrorMonitorRequest};

export type CreateApiInternalV1MonitorsProjectIdOptions = {baseUrl?: string | undefined, bearerAuth?: string | undefined, fetch?: typeof fetch | undefined};

export const repeatInterval = z.union([z.object({strategy: z.literal("default").optional()}), z.object({strategy: z.literal("fixed"), interval: z.number()}), z.object({strategy: z.literal("linear"), min: z.number(), max: z.number()}), z.object({strategy: z.literal("exponential"), min: z.number(), max: z.number()})]);

export const monitor = z.object({id: z.number().int(), projectId: z.number().int().optional(), key: z.string().optional(), name: z.string(), isNameTemplated: z.boolean().optional(), type: z.enum(["metric", "error"]), status: z.enum(["active", "paused", "firing", "no_data", "disabled"]), pausedUntil: z.number().optional(), error: z.string().optional(), notifyEveryoneByEmail: z.boolean().optional(), teamIds: z.array(z.number().int()).optional(), channelIds: z.array(z.number().int()).optional(), repeatInterval: repeatInterval.optional(), params: z.record(z.string(), z.unknown()).optional(), trendAggFunc: z.enum(["sum", "avg", "median", "last"]).optional(), trendSensitivity: z.enum(["low", "medium", "high"]).optional(), trendUpdatedAt: z.number().optional(), createdAt: z.number().optional(), updatedAt: z.number().optional(), checkedAt: z.number().optional(), nextCheckTime: z.number().optional()});

export const monitorResponse = z.object({monitor: monitor});

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 a monitor
 * 
 * POST /internal/v1/monitors/{project_id}
 * 
 * Also accepts auth: authTokenQuery
 */
export const createApiInternalV1MonitorsProjectId = async (args: CreateApiInternalV1MonitorsProjectIdArgs, options?: CreateApiInternalV1MonitorsProjectIdOptions) => {
const {baseUrl = "https://api.uptrace.dev", 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 = `${baseUrl.replace(/\/+$/, '')}/internal/v1/monitors/${encodeURIComponent(String(args.project_id))}${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(monitorResponse, await res.json())
};