Usage examples: The Flyweight pattern has a single purpose: minimizing memory intake. If your program doesn’t struggle with a shortage of RAM, then you might just ignore this pattern for a while.
Identification: Flyweight can be recognized by a creation method that returns cached objects instead of creating new.
Conceptual Example
This example illustrates the structure of the Flyweight design pattern. It focuses on answering these questions:
What classes does it consist of?
What roles do these classes play?
In what way the elements of the pattern are related?
main.py: Conceptual example
import jsonfrom typing import DictclassFlyweight():""" The Flyweight stores a common portion of the state (also called intrinsic state) that belongs to multiple real business entities. The Flyweight accepts the rest of the state (extrinsic state, unique for each entity) via its method parameters. """def__init__(self,shared_state:str) ->None: self._shared_state = shared_statedefoperation(self,unique_state:str) ->None: s = json.dumps(self._shared_state) u = json.dumps(unique_state)print(f"Flyweight: Displaying shared ({s}) and unique ({u}) state.", end="")classFlyweightFactory():""" The Flyweight Factory creates and manages the Flyweight objects. It ensures that flyweights are shared correctly. When the client requests a flyweight, the factory either returns an existing instance or creates a new one, if it doesn't exist yet. """ _flyweights: Dict[str, Flyweight]={}def__init__(self,initial_flyweights: Dict) ->None:for state in initial_flyweights: self._flyweights[self.get_key(state)]=Flyweight(state)defget_key(self,state: Dict) ->str:""" Returns a Flyweight's string hash for a given state. """return"_".join(sorted(state))defget_flyweight(self,shared_state: Dict) -> Flyweight:""" Returns an existing Flyweight with a given state or creates a new one. """ key = self.get_key(shared_state)ifnot self._flyweights.get(key):print("FlyweightFactory: Can't find a flyweight, creating new one.") self._flyweights[key]=Flyweight(shared_state)else:print("FlyweightFactory: Reusing existing flyweight.")return self._flyweights[key]deflist_flyweights(self) ->None: count =len(self._flyweights)print(f"FlyweightFactory: I have {count} flyweights:")print("\n".join(map(str, self._flyweights.keys())), end="")defadd_car_to_police_database(factory: FlyweightFactory,plates:str,owner:str,brand:str,model:str,color:str) ->None:print("\n\nClient: Adding a car to database.") flyweight = factory.get_flyweight([brand, model, color])# The client code either stores or calculates extrinsic state and passes it# to the flyweight's methods. flyweight.operation([plates, owner])if__name__=="__main__":""" The client code usually creates a bunch of pre-populated flyweights in the initialization stage of the application. """ factory =FlyweightFactory([ ["Chevrolet", "Camaro2018", "pink"], ["Mercedes Benz", "C300", "black"], ["Mercedes Benz", "C500", "red"], ["BMW", "M5", "red"], ["BMW", "X6", "white"], ]) factory.list_flyweights()add_car_to_police_database( factory, "CL234IR", "James Doe", "BMW", "M5", "red")add_car_to_police_database( factory, "CL234IR", "James Doe", "BMW", "X1", "red")print("\n") factory.list_flyweights()
Output.txt: Execution result
FlyweightFactory: I have 5 flyweights:
Camaro2018_Chevrolet_pink
C300_Mercedes Benz_black
C500_Mercedes Benz_red
BMW_M5_red
BMW_X6_white
Client: Adding a car to database.
FlyweightFactory: Reusing existing flyweight.
Flyweight: Displaying shared (["BMW", "M5", "red"]) and unique (["CL234IR", "James Doe"]) state.
Client: Adding a car to database.
FlyweightFactory: Can't find a flyweight, creating new one.
Flyweight: Displaying shared (["BMW", "X1", "red"]) and unique (["CL234IR", "James Doe"]) state.
FlyweightFactory: I have 6 flyweights:
Camaro2018_Chevrolet_pink
C300_Mercedes Benz_black
C500_Mercedes Benz_red
BMW_M5_red
BMW_X6_white
BMW_X1_red