generated from alecodes/base-template
259 lines
6.1 KiB
Go
259 lines
6.1 KiB
Go
package synchronizator
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import (
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"fmt"
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"iter"
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"math/rand"
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"sync"
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"time"
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)
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// Fetcher is the concurrent manager
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// upon invocation, should create a worker pool of 1 to get the first set of results
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// then base on the Patination Total and Limit, should distribute the workload
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//
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// It also needs to handle errors, rate-limits, retries strategies, and gracefull rejections
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//
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// It should return the pages not fetched for later retry
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//
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// Pagination should include a max-concurrent connection and rate-limit
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// configuration to prevent having errors from external sources
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//
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// Maybe change the name to pagination or embed in another struct
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type Fetcher = func(pagination Pagination) ([]*Collection, Pagination, error)
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type Pagination struct {
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Total int
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HasMore bool
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Limit int
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Offset int
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}
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var StartPagination = Pagination{
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Total: 0,
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HasMore: false,
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Limit: 10,
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Offset: 0,
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}
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func NewRateLimit(request_per int, time_scale time.Duration) <-chan time.Time {
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rate_limit := make(chan time.Time, request_per)
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tickrate := time_scale / time.Duration(request_per)
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for range request_per {
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rate_limit <- time.Now()
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}
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go func() {
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for t := range time.Tick(tickrate) {
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rate_limit <- t
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}
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}()
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return rate_limit
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}
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// T represent the argument of the function to run
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// S represent the return value of the function to run
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type WorkUnit[T, S any] struct {
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argument T
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result S
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err error
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timeout time.Duration
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attempts uint8
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}
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// Work represents a function that processes a value of type S and returns a
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// result of type T or an error.
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type Work[T, S any] func(value T) (S, error)
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// Worker represents a worker that processes tasks of type S and sends results
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// of type T.
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type Worker[T, S any] struct {
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id uint8 // id is the unique identifier of the worker.
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receptor <-chan WorkUnit[T, S] // receptor is the channel from which the worker receives tasks.
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transmiter chan<- WorkUnit[T, S] // transmiter is the channel to which the worker sends results.
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wg *sync.WaitGroup // wg is the wait group to synchronize the completion of tasks.
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work Work[T, S] // work is the function that processes tasks.
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rate_limit <-chan time.Time
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}
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type WorkerManager[T, S any] struct {
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queue_tasks uint
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processed_tasks uint
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active_workers sync.WaitGroup
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is_open_to_work bool
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max_retries uint8
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base_retry_time time.Duration
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failed_units []*WorkUnit[T, S]
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workers_receptor chan WorkUnit[T, S]
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workers_transmiter chan WorkUnit[T, S]
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}
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func (manager *WorkerManager[T, S]) AddWork(value T) error {
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if !manager.is_open_to_work {
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return fmt.Errorf("The manager is closed to add more work.")
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}
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workUnit := WorkUnit[T, S]{
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argument: value,
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timeout: 0,
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attempts: 0,
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}
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manager.workers_receptor <- workUnit
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manager.queue_tasks++
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return nil
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}
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func (manager *WorkerManager[T, S]) Stop() {
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// Stop receiving new units of work
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manager.is_open_to_work = false
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}
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func (manager *WorkerManager[T, S]) GetSingleWorkUnit() S {
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workUnit := <-manager.workers_transmiter
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return workUnit.result
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}
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func (manager *WorkerManager[T, S]) handleFailedWorkUnit(workUnit *WorkUnit[T, S]) bool {
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if manager.max_retries <= workUnit.attempts {
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manager.failed_units = append(manager.failed_units, workUnit)
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manager.processed_tasks++
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return false
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}
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workUnit.attempts++
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if workUnit.timeout == 0 {
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workUnit.timeout = manager.base_retry_time
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} else {
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workUnit.timeout *= 2
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}
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go func() {
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jitter := time.Duration(rand.Int63n(int64(workUnit.timeout)))
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timeout := workUnit.timeout + jitter
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fmt.Printf(
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"Unit failed for %v time, retrying in: %v\n",
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workUnit.attempts,
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timeout,
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)
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time.Sleep(timeout)
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manager.workers_receptor <- *workUnit
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}()
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return true
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}
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func (manager *WorkerManager[T, S]) increment_processed_units() {
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manager.processed_tasks++
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fmt.Printf("processed_tasks: %v\n", manager.processed_tasks)
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if manager.processed_tasks >= manager.queue_tasks {
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close(manager.workers_receptor)
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}
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}
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func (manager *WorkerManager[T, S]) handleWorkUnit(workUnit *WorkUnit[T, S]) bool {
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if workUnit.err != nil {
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can_try_again := manager.handleFailedWorkUnit(workUnit)
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if !can_try_again {
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manager.increment_processed_units()
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}
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return false
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}
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manager.increment_processed_units()
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return true
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}
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func (manager *WorkerManager[T, S]) GetWorkUnit() iter.Seq[S] {
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// send a message through the done channel when all workers have stopped
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done_channel := make(chan bool)
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go func() {
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manager.active_workers.Wait()
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close(done_channel)
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}()
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manager.is_open_to_work = false
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return func(yield func(S) bool) {
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for {
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// TODO: handle tiemouts
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select {
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case workUnit := <-manager.workers_transmiter:
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if is_successfull := manager.handleWorkUnit(&workUnit); !is_successfull {
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continue
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}
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if !yield(workUnit.result) {
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return
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}
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case <-done_channel:
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close(manager.workers_transmiter)
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return
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}
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}
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}
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}
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func (manager *WorkerManager[T, S]) GetFailedUnits() []*WorkUnit[T, S] {
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return manager.failed_units
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}
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func spawn_worker[T, S any](worker *Worker[T, S]) {
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defer worker.wg.Done()
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for workUnit := range worker.receptor {
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// Wait for rate-limit
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<-worker.rate_limit
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value, err := worker.work(workUnit.argument)
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workUnit.result = value
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workUnit.err = err
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worker.transmiter <- workUnit
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}
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}
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func createWorkerPool[T, S any](
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max_workers uint8,
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max_retries uint8,
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rate_limit <-chan time.Time,
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work Work[T, S],
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) *WorkerManager[T, S] {
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channel_size := max_workers * 3
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manager := &WorkerManager[T, S]{
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max_retries: max_retries,
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base_retry_time: time.Second,
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workers_receptor: make(chan WorkUnit[T, S], channel_size),
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workers_transmiter: make(chan WorkUnit[T, S], channel_size),
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}
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// create pool of workers
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for i := range max_workers {
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worker := &Worker[T, S]{
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id: uint8(i),
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receptor: manager.workers_receptor,
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transmiter: manager.workers_transmiter,
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rate_limit: rate_limit,
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wg: &manager.active_workers,
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work: work,
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}
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go spawn_worker(worker)
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manager.active_workers.Add(1)
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}
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manager.is_open_to_work = true
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return manager
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}
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