GraphQL API and utilities for the rpdata project
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// Code generated by github.com/vektah/dataloaden, DO NOT EDIT.
package loaders
import (
"sync"
"time"
"git.aiterp.net/rpdata/api/models"
)
// CharacterLoaderConfig captures the config to create a new CharacterLoader
type CharacterLoaderConfig struct {
// Fetch is a method that provides the data for the loader
Fetch func(keys []string) ([]*models.Character, []error)
// Wait is how long wait before sending a batch
Wait time.Duration
// MaxBatch will limit the maximum number of keys to send in one batch, 0 = not limit
MaxBatch int
}
// NewCharacterLoader creates a new CharacterLoader given a fetch, wait, and maxBatch
func NewCharacterLoader(config CharacterLoaderConfig) *CharacterLoader {
return &CharacterLoader{
fetch: config.Fetch,
wait: config.Wait,
maxBatch: config.MaxBatch,
}
}
// CharacterLoader batches and caches requests
type CharacterLoader struct {
// this method provides the data for the loader
fetch func(keys []string) ([]*models.Character, []error)
// how long to done before sending a batch
wait time.Duration
// this will limit the maximum number of keys to send in one batch, 0 = no limit
maxBatch int
// INTERNAL
// lazily created cache
cache map[string]*models.Character
// the current batch. keys will continue to be collected until timeout is hit,
// then everything will be sent to the fetch method and out to the listeners
batch *characterLoaderBatch
// mutex to prevent races
mu sync.Mutex
}
type characterLoaderBatch struct {
keys []string
data []*models.Character
error []error
closing bool
done chan struct{}
}
// Load a Character by key, batching and caching will be applied automatically
func (l *CharacterLoader) Load(key string) (*models.Character, error) {
return l.LoadThunk(key)()
}
// LoadThunk returns a function that when called will block waiting for a Character.
// This method should be used if you want one goroutine to make requests to many
// different data loaders without blocking until the thunk is called.
func (l *CharacterLoader) LoadThunk(key string) func() (*models.Character, error) {
l.mu.Lock()
if it, ok := l.cache[key]; ok {
l.mu.Unlock()
return func() (*models.Character, error) {
return it, nil
}
}
if l.batch == nil {
l.batch = &characterLoaderBatch{done: make(chan struct{})}
}
batch := l.batch
pos := batch.keyIndex(l, key)
l.mu.Unlock()
return func() (*models.Character, error) {
<-batch.done
var data *models.Character
if pos < len(batch.data) {
data = batch.data[pos]
}
var err error
// its convenient to be able to return a single error for everything
if len(batch.error) == 1 {
err = batch.error[0]
} else if batch.error != nil {
err = batch.error[pos]
}
if err == nil {
l.mu.Lock()
l.unsafeSet(key, data)
l.mu.Unlock()
}
return data, err
}
}
// LoadAll fetches many keys at once. It will be broken into appropriate sized
// sub batches depending on how the loader is configured
func (l *CharacterLoader) LoadAll(keys []string) ([]*models.Character, []error) {
results := make([]func() (*models.Character, error), len(keys))
for i, key := range keys {
results[i] = l.LoadThunk(key)
}
characters := make([]*models.Character, len(keys))
errors := make([]error, len(keys))
for i, thunk := range results {
characters[i], errors[i] = thunk()
}
return characters, errors
}
// LoadAllThunk returns a function that when called will block waiting for a Characters.
// This method should be used if you want one goroutine to make requests to many
// different data loaders without blocking until the thunk is called.
func (l *CharacterLoader) LoadAllThunk(keys []string) func() ([]*models.Character, []error) {
results := make([]func() (*models.Character, error), len(keys))
for i, key := range keys {
results[i] = l.LoadThunk(key)
}
return func() ([]*models.Character, []error) {
characters := make([]*models.Character, len(keys))
errors := make([]error, len(keys))
for i, thunk := range results {
characters[i], errors[i] = thunk()
}
return characters, errors
}
}
// Prime the cache with the provided key and value. If the key already exists, no change is made
// and false is returned.
// (To forcefully prime the cache, clear the key first with loader.clear(key).prime(key, value).)
func (l *CharacterLoader) Prime(key string, value *models.Character) bool {
l.mu.Lock()
var found bool
if _, found = l.cache[key]; !found {
// make a copy when writing to the cache, its easy to pass a pointer in from a loop var
// and end up with the whole cache pointing to the same value.
cpy := *value
l.unsafeSet(key, &cpy)
}
l.mu.Unlock()
return !found
}
// Clear the value at key from the cache, if it exists
func (l *CharacterLoader) Clear(key string) {
l.mu.Lock()
delete(l.cache, key)
l.mu.Unlock()
}
func (l *CharacterLoader) unsafeSet(key string, value *models.Character) {
if l.cache == nil {
l.cache = map[string]*models.Character{}
}
l.cache[key] = value
}
// keyIndex will return the location of the key in the batch, if its not found
// it will add the key to the batch
func (b *characterLoaderBatch) keyIndex(l *CharacterLoader, key string) int {
for i, existingKey := range b.keys {
if key == existingKey {
return i
}
}
pos := len(b.keys)
b.keys = append(b.keys, key)
if pos == 0 {
go b.startTimer(l)
}
if l.maxBatch != 0 && pos >= l.maxBatch-1 {
if !b.closing {
b.closing = true
l.batch = nil
go b.end(l)
}
}
return pos
}
func (b *characterLoaderBatch) startTimer(l *CharacterLoader) {
time.Sleep(l.wait)
l.mu.Lock()
// we must have hit a batch limit and are already finalizing this batch
if b.closing {
l.mu.Unlock()
return
}
l.batch = nil
l.mu.Unlock()
b.end(l)
}
func (b *characterLoaderBatch) end(l *CharacterLoader) {
b.data, b.error = l.fetch(b.keys)
close(b.done)
}