/*
Copyright 2023-2024 SolarWinds Worldwide, LLC.

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

    http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
*/

import * as process from "node:process"
import * as v8 from "node:v8"

import { type BatchObservableResult, ValueType } from "@opentelemetry/api"
import { lazy } from "@solarwinds-apm/lazy"

import { meter } from "."

const memoryUsageMeters = lazy(
  () =>
    ({
      rss: meter.createObservableUpDownCounter("process.memoryUsage.rss", {
        description: "resident set size",
        unit: "byte",
        valueType: ValueType.INT,
      }),
      heapTotal: meter.createObservableUpDownCounter(
        "process.memoryUsage.heapTotal",
        {
          description: "total size of the V8 heap",
          unit: "byte",
          valueType: ValueType.INT,
        },
      ),
      heapUsed: meter.createObservableUpDownCounter(
        "process.memoryUsage.heapUsed",
        {
          description: "used size of the V8 heap",
          unit: "byte",
          valueType: ValueType.INT,
        },
      ),
      external: meter.createObservableUpDownCounter(
        "process.memoryUsage.external",
        {
          description:
            "memory usage of C++ objects bound to JavaScript objects managed by V8",
          unit: "byte",
          valueType: ValueType.INT,
        },
      ),
      arrayBuffers: meter.createObservableUpDownCounter(
        "process.memoryUsage.arrayBuffers",
        {
          description:
            "memory allocated for ArrayBuffers and SharedArrayBuffers",
          unit: "byte",
          valueType: ValueType.INT,
        },
      ),
    }) as const,
)

const heapStatisticsMeters = lazy(
  () =>
    ({
      total_heap_size: meter.createObservableUpDownCounter(
        "v8.heapStatistics.total_heap_size",
        {
          unit: "byte",
          valueType: ValueType.INT,
        },
      ),
      total_heap_size_executable: meter.createObservableUpDownCounter(
        "v8.heapStatistics.total_heap_size_executable",
        {
          unit: "byte",
          valueType: ValueType.INT,
        },
      ),
      total_physical_size: meter.createObservableUpDownCounter(
        "v8.heapStatistics.total_physical_size",
        {
          unit: "byte",
          valueType: ValueType.INT,
        },
      ),
      total_available_size: meter.createObservableUpDownCounter(
        "v8.heapStatistics.total_available_size",
        {
          unit: "byte",
          valueType: ValueType.INT,
        },
      ),
      used_heap_size: meter.createObservableUpDownCounter(
        "v8.heapStatistics.used_heap_size",
        {
          unit: "byte",
          valueType: ValueType.INT,
        },
      ),
      heap_size_limit: meter.createObservableUpDownCounter(
        "v8.heapStatistics.heap_size_limit",
        {
          unit: "byte",
          valueType: ValueType.INT,
        },
      ),
      malloced_memory: meter.createObservableUpDownCounter(
        "v8.heapStatistics.malloced_memory",
        {
          unit: "byte",
          valueType: ValueType.INT,
        },
      ),
      peak_malloced_memory: meter.createObservableUpDownCounter(
        "v8.heapStatistics.peak_malloced_memory",
        {
          unit: "byte",
          valueType: ValueType.INT,
        },
      ),
    }) as const,
)

function memoryUsageCallback(batch: BatchObservableResult) {
  const usage = process.memoryUsage()
  for (const [key, meter] of Object.entries(memoryUsageMeters)) {
    batch.observe(meter, usage[key])
  }
}

function heapStatisticsCallback(batch: BatchObservableResult) {
  const statistics = v8.getHeapStatistics()
  for (const [key, meter] of Object.entries(heapStatisticsMeters)) {
    batch.observe(meter, statistics[key])
  }
}

export function start() {
  meter.addBatchObservableCallback(
    memoryUsageCallback,
    Object.values(memoryUsageMeters),
  )
  meter.addBatchObservableCallback(
    heapStatisticsCallback,
    Object.values(heapStatisticsMeters),
  )
}

export function stop() {
  meter.removeBatchObservableCallback(
    memoryUsageCallback,
    Object.values(memoryUsageMeters),
  )
  meter.removeBatchObservableCallback(
    heapStatisticsCallback,
    Object.values(heapStatisticsMeters),
  )
}