persistant_cached

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Description:

persistant cached

Note Original repository : https://pub.dev/packages/cached
The problem with the original repository is that persistant storage cache don't works correctly.
Cached
Simple Dart package with build-in code generation. It simplifies and speedup creation of cache mechanism for dart
classes.
Least Recently Used (LRU) cache algorithm #
It is a finite key-value map using
the Least Recently Used (LRU) algorithm, where the
most recently-used items are "kept alive" while older, less-recently used items are evicted to make room for newer
items.
Useful when you want to limit use of memory to only hold commonly-used things or cache some API calls.
Contents #


Least Recently Used (LRU) cache algorithm
Contents
Motivation
Setup

Install package
Run the generator


Basics

WithCache
Cached

Example
Example with getter
where

sync example
async example




IgnoreCache
Ignore
CacheKey
ClearCached
ClearAllCached
StreamedCache
CachePeek
DeletesCache


Persistent storage
Contribution

feature request
Fix


Contributors

Motivation #
There is quite often situation, that you have to cache something in memory for later usage. Common case is cache some
API calls and theirs responses.
Usually, it is done in some data layer, probably in - let say - RemoteRepository
Oftentimes, the repository code might look like this:
class RemoteRepository implements Repository {
final SomeApiDataSource _dataSource;
final SomeResponseType? cachedResponse;

const RemoteRepository(this._dataSource);

@override
Future<SomeResponseType> getSthData() async {
if (cachedResponse != null) {
return cachedResponse;
}

cachedResponse = await _dataSource.getData();
return cachedResponse;
}
}
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So, instead of doing it manually we can use library and write our RemoteRepository in that way:
@WithCache()
abstract class RemoteRepository implements Repository, _$RemoteRepository {
factory RemoteRepository({required SomeApiDataSource dataSource,}) = _RemoteRepository;

@Cached()
Future<SomeResponseType> getSthData() {
return dataSource.getData();
}
}
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Setup #
Install package #
Run command:
flutter pub add --dev cached
flutter pub add cached_annotation
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Or manually add the dependency in the pubspec.yaml
dependencies:
cached_annotation:

dev_dependencies:
cached:
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That's it! Now, you can write your own cached class 🎉
Run the generator #
To run the code generator, execute the following command:
dart run build_runner build
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For Flutter projects, you can run:
flutter pub run build_runner build
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Note that like most code-generators, [Cached] will need you to both import the annotation ([cached_annotation])
and use the part keyword on the top of your files.
As such, a file that wants to use [Cached] will start with:
import 'package:cached_annotation/cached_annotation.dart';

part 'some_file.cached.dart';
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Basics #
WithCache #
Annotation for Cached package.
Annotating a class with @WithCache will flag it as a needing to be processed by Cached code generator.

It can take one additional boolean parameter useStaticCache. If this parameter is set to true, generator will generate
cached class with static cache. It means each instance of this class will have access to the same cache. Default value
is set to false
@WithCache(useStaticCache: true)
abstract class Gen implements _$Gen {
factory Gen() = _Gen;

...
}
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Cached #
Method/Getter decorator that flag it as needing to be processed by Cached code generator.
There are 4 possible additional parameters:

ttl - time to live. In seconds. Set how long cache will be alive. Default value is set to null, means infinitive
ttl.
syncWrite - Affects only async methods ( those one that returns Future ) If set to true first method call will be
cached, and if following ( the same ) call will occur, all of them will get result from the first call. Default value
is set to false;
limit - limit how many results for different method call arguments combination will be cached. Default value null,
means no limit.
where - function triggered before caching the value. If returns true: value will be cached, if returns false: value wil be ignored. Useful to signal that a certain result must not be cached, but @IgnoreCache is not enough (e.g. condition whether or not to cache known once acquiring data)
persistentStorage - Defines optional usage of external persistent storage (e.g. shared preferences). If set to true in order to work, you have to set PersistentStorageHolder.storage in your main.dart file. Check the Persistent storage section of this README for more information.

Example
@Cached(
ttl: 60,
syncWrite: true,
limit: 100,
)
Future<int> getInt(String param) {
return Future.value(1);
}
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Example with getter
@cached
Future<int> get getter {
return Future.value(1);
}
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where
As mentioned before, where takes top-level function to check whether to cache value or not. It also supports async calls, so feel free to create conditional caching based on e.g. http response parsing.
sync example
@Cached(
ttl: 60,
syncWrite: true,
limit: 100,
where: _shouldCache
)
int getInt(String param) {
return 1;
}

bool _shouldCache(int candidate) {
return candidate > 0;
}
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async example
@Cached(
where: _asyncShouldCache,
)
Future<http.Response> getDataWithCached() {
return http.get(Uri.parse(_url));
}

Future<bool> _asyncShouldCache(http.Response response) async {
final json = jsonDecode(response.body) as Map<String, dynamic>;
print('Up to you: check conditionally and decide if should cache: $json');

print('For now: always cache');
return true;
}

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IgnoreCache #
That annotation must be above a field in a method and must be bool,
if true the cache will be ignored
Example use:
@cached
Future<int> getInt(String param, {@ignoreCache bool ignoreCache = false}) {
return Future.value(1);
}
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or you can use with useCacheOnError in the annotation and if set true
then return the last cached value when an error occurs.
@cached
Future<int> getInt(String param, {@IgnoreCache(useCacheOnError: true) bool ignoreCache = false}) {
return Future.value(1);
}
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Possible reason why the generator gives an error

if method has multiple @ignoreCache annotation

Ignore #
That annotation must be above a field in a method,
arguments with @ignore annotations will be ignored while generating cache key.
Example use:
@cached
Future<int> getInt(@ignore String param) {
return Future.value(1);
}
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CacheKey #
That annotation must be above a field in a method and must contain constant function that will
return cache key for provided field value
Example use:
@cached
Future<int> getInt(@CacheKey(exampleCacheFunction) int test) async {
await Future.delayed(Duration(milliseconds: 20));
return test;
}

String exampleCacheFunction(dynamic value) {
return value.toString();
}
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You can also use @iterableCacheKey, which will generate cache key from Iterable<T> values
Example use:
@cached
Future<List<int>> getInt(@iterableCacheKey List<int> test) async {
await Future.delayed(Duration(milliseconds: 20));
return test;
}
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ClearCached #
Method decorator that flag it as needing to be processed by Cached code generator.
Method annotated with this annotation can be used to clear result of method annotated with Cached annotation.

Constructor of this annotation can take one possible argument. It is method name, that we want to clear the cache.
Let say there is existing cached method:
@Cached()
Future<SomeResponseType> getUserData() {
return userDataSource.getData();
}
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to generate clearing cache method we can write:
@clearCached
void clearGetUserData();
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or
@ClearCached('getUserData')
void clearUserData();
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The ClearCached argument or method name has to correspond to cached method name. We can also create a method that
returns a bool, and then write our own logic to check if the cache should be cleared or not.
@ClearCached('getUserData')
Future<bool> clearUserData() {
return userDataSource.isLoggedOut();
};
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If the user is logged out, the user cache will be cleared.
Possible reasons why the generator gives an error

if method with @cached annotation doesn’t exist
if method to pair doesn’t exist
if method don’t return bool, Future<bool> or not a void, Future<void>

ClearAllCached #
This is exactly the same as ClearCached, except you don't pass any arguments and you don't add a clear statement
before the method name, all you have to do is add @clearAllCached above the method, this annotation will clear cached
values for all methods in the class with the @WithCache.
Here is a simple example:
@clearAllCached
void clearAllData();
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or we can also create a method that returns a bool, and then write our own logic to check if cached values for all
methods will be cleared
@clearAllCached
Future<bool> clearAllData() {
return userDataSource.isLoggedOut();
}
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If the user is logged out, will clear cached values for all methods
Possible reasons why the generator gives an error

if we have too many clearAllCached annotation, only one can be
if method don’t return bool, Future<bool> or not a void

StreamedCache #
Use @StreamedCache annotation to get a stream of cache updates from a cached method.
Remember to provide at least the name of the cached class method in the methodName parameter.
Simple example of usage:
@cached
int cachedMethod() {
return 1;
}

@StreamedCache(methodName: "cachedMethod", emitLastValue: true)
Stream<int> cachedStream();
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Method annotated with @StreamedCache should have same parameters (except @ignore or @ignoreCache)
as method provided in methodName parameter, otherwise InvalidGenerationSourceError will be thrown.
Return type of this method should be a Stream<sync type of target method> - for example for Future<String>
the return type will be Stream<String>
Example:
@cached
Future<String> cachedMethod(int x, @ignore String y) async {
await Future.delayed(Duration(miliseconds: 100));
return x.toString();
}

@StreamedCache(methodName: "cachedMethod", emitLastValue: false)
Stream<String> cachedStream(int x);
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CachePeek #
Method decorator that flag it as needing to be processed by Cached code generator.
Method annotated with this annotation can be used to peek result of method annotated with Cached annotation.
Constructor of this annotation can take one possible argument. It is method name, that we want to peek the cache.
Let say there is existing cached method:
@Cached()
Future<SomeResponseType> getUserData() {
return userDataSource.getData();
}
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to generate peek cache method we can write:
@CachePeek("getUserData")
SomeResponseType? peekUserDataCache();
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The CachePeek methodName argument has to correspond to cached method name
Possible reasons why the generator gives an error

if more then one method is targeting [Cached] method cache
if method return type is incorrect
if method has different parameters then target function (excluding [Ignore], [IgnoreCache])
if method is not abstract

DeletesCache #
@DeletesCache annotaton is a method decorator that marks method to be processed by code generator. Methods preceeded by this annotation clear the cache of all specified methods, annotated with @Cached, if they complete with result.
@DeletesCache annotation takes a list of cached methods that are affected by the use of annotated method, the cache of all specified methods is cleared on method success, but if an error occurs, the cache is not deleted and the error is rethrown.
If there is a cached method:
@Cached()
Future<SomeResponseType> getSthData() {
return dataSource.getData();
}
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Then a method that affects the cache of this method can be written as:
@DeletesCache(['getSthData'])
Future<SomeResponseType> performOperation() {
...
return data;
}
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All methods specified in @DeletesCache annotation must correspond to cached method names. If the performOperation method completes without an error, then the cache of getSthData will be cleared.
Throws an [InvalidGenerationSourceError]

if method with @cached annotation doesn't exist
if no target method names are specified
if specified target methods are invalid
if annotated method is abstract

Persistent storage #
Cached library supports usage of any external storage (e.g. Shared Preferences, Hive), by passing persistentStorage: true parameter into @Cached() annotation:
@Cached(persistentStorage: true)
Future<double> getDouble() async {
return await _source.nextDouble() ;
}
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You only have to provide a proper interface by extending CachedStorage abstraction, e.g.:
...
import 'package:cached_annotation/cached_annotation.dart';

class MyStorageImpl extends CachedStorage {
final _storage = MyExternalStorage();

@override
Future<Map<String, dynamic>> read(String key) async {
return await _storage.read(key);
}

@override
Future<void> write(String key, Map<String, dynamic> data) async {
await _storage.write(key, data);
}

@override
Future<void> delete(String key) async {
await _storage.delete(key);
}

@override
Future<void> deleteAll() async {
await _storage.deleteAll();
}
}
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Now you have to assign instance of your class (preferably on the top of your main method):
...
import 'package:cached_annotation/cached_annotation.dart';

Future<void> main() async {
WidgetsFlutterBinding.ensureInitialized();

PersistentStorageHolder.storage = await MyStorageImpl();

runApp(const MyApp());
}
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As you can see above, Cached doesn't provide any generic way of error or typing handling. It'll just use PersistentStorageHolder.storage to save and read cached data from storage in generated code. You have to take care of it yourself inside your code.
Data saved to persistent storage can be deleted by using @ClearCached(), @ClearAllCached() or @DeletesCache annotations.
Usage of persistent storage does not change this library caching behaviour in any way. It only adds new capabilities, but it can affect the way in which you implement your app:

Important:
Please note, that persistent storage usage enforces you to provide async API when using Cached annotations!

For sample project, please check persistent_storage_example inside cached/example directory.
Contribution #
We accept any contribution to the project!
Suggestions of a new feature or fix should be created via pull-request or issue.
feature request #


Check if feature is already addressed or declined


Describe why this is needed
Just create an issue with label enhancement and descriptive title. Then, provide a description and/or example code.
This will help the community to understand the need for it.


Write tests for your feature
The test is the best way to explain how the proposed feature should work. We demand a complete test before any code is
merged in order to ensure cohesion with existing codebase.


Add it to the README and write documentation for it
Add a new feature to the existing featrues table and append sample code with usage.


Fix #


Check if bug was already found


Describe what is broken
The minimum requirement to report a bug fix is a reproduction path. Write steps that should be followed to find a
problem in code. Perfect situation is when you give full description why some code doesn’t work and a solution code.


Contributors #

License:

For personal and professional use. You cannot resell or redistribute these repositories in their original state.

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