// ets_tracing: off
import * as CL from "../../../../Clock";
import * as T from "../../../../Effect";
import * as CH from "../../Channel";
import * as C from "../core";
/**
 * Throttles the chunks of this stream according to the given bandwidth parameters using the token bucket
 * algorithm. Allows for burst in the processing of elements by allowing the token bucket to accumulate
 * tokens up to a `units + burst` threshold. Chunks that do not meet the bandwidth constraints are dropped.
 * The weight of each chunk is determined by the `costFn` effectful function.
 */

export function throttleEnforceEffect_(self, units, duration, costFn, burst = 0) {
  const loop = (tokens, timestamp) => CH.readWith(in_ => CH.unwrap(T.map_(T.zip_(costFn(in_), CL.currentTime), ({
    tuple: [weight, current]
  }) => {
    const elapsed = current - timestamp;
    const cycles = elapsed / duration;

    const available = (() => {
      const sum = Math.floor(tokens + cycles * units);
      const max = units + burst < 0 ? Number.MAX_SAFE_INTEGER : units + burst;
      return sum < 0 ? max : Math.min(sum, max);
    })();

    if (weight <= available) {
      return CH.zipRight_(CH.write(in_), loop(available - weight, current));
    } else {
      return loop(available, current);
    }
  })), e => CH.fail(e), _ => CH.unit);

  return new C.Stream(CH.chain_(CH.fromEffect(CL.currentTime), _ => self.channel[">>>"](loop(units, _))));
}
/**
 * Throttles the chunks of this stream according to the given bandwidth parameters using the token bucket
 * algorithm. Allows for burst in the processing of elements by allowing the token bucket to accumulate
 * tokens up to a `units + burst` threshold. Chunks that do not meet the bandwidth constraints are dropped.
 * The weight of each chunk is determined by the `costFn` effectful function.
 *
 * @ets_data_first throttleEnforceEffect_
 */

export function throttleEnforceEffect(units, duration, costFn, burst = 0) {
  return self => throttleEnforceEffect_(self, units, duration, costFn, burst);
}
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