A light-weight library to make asynchronous task launched from a RecyclerView (or ListView). It sounds like Picasso or Glide. The difference with Picassiette, it can support custom types of data (not only Bitmap). If you choose Bitmap as the fetched data, stay with Picasso or Glide as they are more advanced library. But if you want support also custom data in your RecyclerView's item view, use Picassiette.
- Androidx library or android support
- Kotlin
- Coroutines
- Android LruCache
- Jake Wharton's DiskLruCache
Add to your app build.gradle
:
- Project with androidx
dependencies {
implementation 'com.hopen.lib:picassiette-core:1.0.0'
}
- Project with android support
dependencies {
implementation 'com.hopen.lib:picassiette-core-support:1.0.0'
}
Define your RecyclerView.Adapter :
class ItemAdapter(context: Context) : RecyclerView.Adapter<ItemViewHolder>() {
var tracks: List<Track> = emptyList()
private val picassiette = Picassiette.newInstance(Config<Favorite>(context).apply {
onFetchData = this@ItemAdapter::fetchTrackFavorite
}, Favorite::class.java)
override fun onCreateViewHolder(parent: ViewGroup, viewType: Int): ItemViewHolder {
return ItemViewHolder(LayoutInflater.from(parent.context).inflate(R.layout.item_view, parent, false))
}
override fun getItemCount(): Int {
return tracks.size
}
override fun onBindViewHolder(holder: ItemViewHolder, position: Int) {
with(tracks[position]) {
holder.tvLabel.text = name
picassiette.fetch(trackId, /* null or custom params */, holder.target)
}
}
@WorkerThread
private fun fetchTrackFavorite(key: String, customParams: Any?): Favorite? {
val trackId = key
// Call your service to fetch on a remote server or a local database
val result: Favorite? = ...
return result
}
}
class ItemViewHolder(view: View) : RecyclerView.ViewHolder(view) {
val tvLabel: TextView = view.label
val imgFavorite: ImageView = view.favorite
val target = object : Target<Favorite>() {
override fun onPreReceive(key: String, customParams: Any?) {
// Reset your view here
imgFavorite.setImageResource(0)
}
override fun onReceive(data: Favorite?) {
val imgResId = if (data.value) R.drawable.ic_heart else 0
imgFavorite.setImageResource(imgResId)
}
}
}
Then attach your adapter to your recycler view.
In the snippet above, there is two data models Track
and Favorite
:
data class Track(val trackId: String, val name)
data class Favorite(val value: Boolean) // The custom data fetched by Picassiette
Notice that the target instance is binded to the ViewHolder. Do not call Picassiette.fetch()
with the target which is from an anonymous class :
picassiette.fetch(key, customParams, object : Target<Favorite>() {
override fun onPreReceive(key: String, customParams: Any?) {
}
override fun onReceive(data: Favorite?) {
}
})
because Picassiette holds the instance in a WeakReference to avoid memory leak and the Garbage Collector can clear the instance easly. If you need more details, there is a sample app in the repository (using a bitmap as custom data).
You can customize picassiette behaviour with a Picassiette.Config
instance :
class Config<R>(val context: Context) {
var cacheEnabled: Boolean // set to false if you, for example, use a local database to cache response instead of the internal picassiette cache
var memCacheSize: Int = // memory cache size
var diskCacheSize: Long = // disk cache size
var diskCacheSubDir: String = // name of the sub directory under cache directory
// Your implementation logic to make long running operation to fetch data. And save also the response in a local database.
var onFetchData = fun(key: String, customParams: Any?): R? = null
// To let the internal memory cache to know about the weight of
// the fetched data. You don't need to set it most of the time.
var getSizeOf: ((key: String, data: R) -> Int)? = null
}
Feel free to contribute if you found bugs, performance issues or improvements. Send me a pull requests :)
Apache 2.0. See the LICENSE file for details.
Copyright 2019 Hasina R.
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.`