Introduce channelConflated Flow builder

package com.android.systemui.common.coroutine

import kotlin.experimental.ExperimentalTypeInference

import kotlinx.coroutines.ExperimentalCoroutinesApi

import kotlinx.coroutines.channels.Channel

import kotlinx.coroutines.channels.ProducerScope

import kotlinx.coroutines.flow.Flow

import kotlinx.coroutines.flow.buffer

import kotlinx.coroutines.flow.callbackFlow

import kotlin.experimental.ExperimentalTypeInference

import com.android.systemui.common.coroutine.conflatedCallbackFlow as wrapped

@Deprecated("Use com.android.systemui.common.coroutine.conflatedCallbackFlow instead")

object ConflatedCallbackFlow {

    /**

     * consumer(s) of the values in the flow), the values are buffered and, if the buffer fills up,

     * we drop the oldest values automatically instead of suspending the producer.

     */

    @Suppress("EXPERIMENTAL_IS_NOT_ENABLED")

    @OptIn(ExperimentalTypeInference::class, ExperimentalCoroutinesApi::class)

    @Deprecated("Use com.android.systemui.common.coroutine.conflatedCallbackFlow instead")

    @OptIn(ExperimentalTypeInference::class)

    fun <T> conflatedCallbackFlow(

        @BuilderInference block: suspend ProducerScope<T>.() -> Unit,

    ): Flow<T> = callbackFlow(block).buffer(capacity = Channel.CONFLATED)

    ): Flow<T> = wrapped(block)

}

/*

 * Copyright (C) 2024 The Android Open Source Project

 *

 * 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.

 */

@file:OptIn(ExperimentalTypeInference::class)

package com.android.systemui.common.coroutine

import kotlin.experimental.ExperimentalTypeInference

import kotlinx.coroutines.channels.ProducerScope

import kotlinx.coroutines.channels.SendChannel

import kotlinx.coroutines.channels.awaitClose

import kotlinx.coroutines.flow.Flow

import kotlinx.coroutines.flow.buffer

import kotlinx.coroutines.flow.callbackFlow

import kotlinx.coroutines.flow.channelFlow

import kotlinx.coroutines.flow.conflate

import kotlinx.coroutines.flow.flowOn

import kotlinx.coroutines.flow.produceIn

import kotlinx.coroutines.suspendCancellableCoroutine

/**

 * Creates an instance of a _cold_ [Flow] with elements that are sent to a [SendChannel] provided to

 * the builder's [block] of code via [ProducerScope]. It allows elements to be produced by code that

 * is running in a different context or concurrently.

 *

 * The resulting flow is _cold_, which means that [block] is called every time a terminal operator

 * is applied to the resulting flow.

 *

 * This builder ensures thread-safety and context preservation, thus the provided [ProducerScope]

 * can be used from any context, e.g. from a callback-based API. The resulting flow completes as

 * soon as the code in the [block] completes. [awaitClose] should be used to keep the flow running,

 * otherwise the channel will be closed immediately when block completes. [awaitClose] argument is

 * called either when a flow consumer cancels the flow collection or when a callback-based API

 * invokes [SendChannel.close] manually and is typically used to cleanup the resources after the

 * completion, e.g. unregister a callback. Using [awaitClose] is mandatory in order to prevent

 * memory leaks when the flow collection is cancelled, otherwise the callback may keep running even

 * when the flow collector is already completed. To avoid such leaks, this method throws

 * [IllegalStateException] if block returns, but the channel is not closed yet.

 *

 * A [conflated][conflate] channel is used. Use the [buffer] operator on the resulting flow to

 * specify a user-defined value and to control what happens when data is produced faster than

 * consumed, i.e. to control the back-pressure behavior.

 *

 * Adjacent applications of [callbackFlow], [flowOn], [buffer], and [produceIn] are always fused so

 * that only one properly configured channel is used for execution.

 *

 * Example of usage that converts a multi-shot callback API to a flow. For single-shot callbacks use

 * [suspendCancellableCoroutine].

 *

 * ```

 * fun flowFrom(api: CallbackBasedApi): Flow<T> = callbackFlow {

 *     val callback = object : Callback { // Implementation of some callback interface

 *         override fun onNextValue(value: T) {

 *             // To avoid blocking you can configure channel capacity using

 *             // either buffer(Channel.CONFLATED) or buffer(Channel.UNLIMITED) to avoid overfill

 *             trySendBlocking(value)

 *                 .onFailure { throwable ->

 *                     // Downstream has been cancelled or failed, can log here

 *                 }

 *         }

 *         override fun onApiError(cause: Throwable) {

 *             cancel(CancellationException("API Error", cause))

 *         }

 *         override fun onCompleted() = channel.close()

 *     }

 *     api.register(callback)

 *     /*

 *      * Suspends until either 'onCompleted'/'onApiError' from the callback is invoked

 *      * or flow collector is cancelled (e.g. by 'take(1)' or because a collector's coroutine was cancelled).

 *      * In both cases, callback will be properly unregistered.

 *      */

 *     awaitClose { api.unregister(callback) }

 * }

 * ```

 * > The callback `register`/`unregister` methods provided by an external API must be thread-safe,

 * > because `awaitClose` block can be called at any time due to asynchronous nature of

 * > cancellation, even concurrently with the call of the callback.

 *

 * This builder is to be preferred over [callbackFlow], due to the latter's default configuration of

 * using an internal buffer, negatively impacting system health.

 *

 * @see callbackFlow

 */

fun <T> conflatedCallbackFlow(

    @BuilderInference block: suspend ProducerScope<T>.() -> Unit,

): Flow<T> = callbackFlow(block).conflate()

/**

 * Creates an instance of a _cold_ [Flow] with elements that are sent to a [SendChannel] provided to

 * the builder's [block] of code via [ProducerScope]. It allows elements to be produced by code that

 * is running in a different context or concurrently. The resulting flow is _cold_, which means that

 * [block] is called every time a terminal operator is applied to the resulting flow.

 *

 * This builder ensures thread-safety and context preservation, thus the provided [ProducerScope]

 * can be used concurrently from different contexts. The resulting flow completes as soon as the

 * code in the [block] and all its children completes. Use [awaitClose] as the last statement to

 * keep it running. A more detailed example is provided in the documentation of [callbackFlow].

 *

 * A [conflated][conflate] channel is used. Use the [buffer] operator on the resulting flow to

 * specify a user-defined value and to control what happens when data is produced faster than

 * consumed, i.e. to control the back-pressure behavior.

 *

 * Adjacent applications of [channelFlow], [flowOn], [buffer], and [produceIn] are always fused so

 * that only one properly configured channel is used for execution.

 *

 * Examples of usage:

 * ```

 * fun <T> Flow<T>.merge(other: Flow<T>): Flow<T> = channelFlow {

 *     // collect from one coroutine and send it

 *     launch {

 *         collect { send(it) }

 *     }

 *     // collect and send from this coroutine, too, concurrently

 *     other.collect { send(it) }

 * }

 *

 * fun <T> contextualFlow(): Flow<T> = channelFlow {

 *     // send from one coroutine

 *     launch(Dispatchers.IO) {

 *         send(computeIoValue())

 *     }

 *     // send from another coroutine, concurrently

 *     launch(Dispatchers.Default) {

 *         send(computeCpuValue())

 *     }

 * }

 * ```

 *

 * This builder is to be preferred over [channelFlow], due to the latter's default configuration of

 * using an internal buffer, negatively impacting system health.

 *

 * @see channelFlow

 */

fun <T> conflatedChannelFlow(

    @BuilderInference block: suspend ProducerScope<T>.() -> Unit,

): Flow<T> = channelFlow(block).conflate()