I have a small model method I'm using to get the previous and next object relative to the current object. It looks something like this:
class Article
...
def get_prev_next(self):
articles = list(Article.objects.all())
i = articles.index(self)
try:
p = articles[i - 1]
except IndexError:
p = None
try:
n = articles[i + 1]
except IndexError:
n = None
return {'prev': p, 'next': n}
It works, and may well be inefficient, but now I want to use it in a different model.
I'd like to make this into a mixin, but I can't figure out how to get the original model class name so I can run Model.objects.all() and get my list.
I have so far:
class PrevNextMixin(object):
objects = list(???.objects.all())
i = objects.index(self)
...
A mixin is still a class. The code still needs to go into a method. That method will get a self argument just as it does now.
class PrevNextMixin(object):
def get_prev_next(self):
objects = list(self.__class__.objects.all())
Related
I have a class in Python that initializes the attributes of an environment. I am attempting to grab the topographyRegistry attribute list of my Environment class in a separate function, which when called, should take in the parameters of 'self' and the topography to be added. When this function is called, it should simply take an argument such as addTopographyToEnvironment(self, "Mountains") and append it to the topographyRegistry of the Environment class.
When implementing what I mentioned above, I ran into an error regarding the 'self' method not being defined. Hence, whenever I call the above line, it gives me:
print (Environment.addTopographyToEnvironment(self, "Mountains"))
^^^^
NameError: name 'self' is not defined
This leads me to believe that I am unaware of and missing a step in my implementation, but I am unsure of what that is exactly.
Here is the relevant code:
class EnvironmentInfo:
def __init__(self, perceivableFood, perceivableCreatures, regionTopography, lightVisibility):
self.perceivableFood = perceivableFood
self.perceivableCreatures = perceivableCreatures
self.regionTopography = regionTopography
self.lightVisibility = lightVisibility
class Environment:
def __init__(self, creatureRegistry, foodRegistry, topographyRegistery, lightVisibility):
logging.info("Creating new environment")
self.creatureRegistry = []
self.foodRegistry = []
self.topographyRegistery = []
self.lightVisibility = True
def displayEnvironment():
creatureRegistry = []
foodRegistry = []
topographyRegistery = ['Grasslands']
lightVisibility = True
print (f"Creatures: {creatureRegistry} Food Available: {foodRegistry} Topography: {topographyRegistery} Contains Light: {lightVisibility}")
def addTopographyToEnvironment(self, topographyRegistery):
logging.info(
f"Registering {topographyRegistery} as a region in the Environment")
self.topographyRegistery.append(topographyRegistery)
def getRegisteredEnvironment(self):
return self.topographyRegistry
if __name__ == "__main__":
print (Environment.displayEnvironment()) #Display hardcoded attributes
print (Environment.addTopographyToEnvironment(self, "Mountains"))#NameError
print (Environment.getRegisteredEnvironment(self)) #NameError
What am I doing wrong or not understanding when using 'self'?
Edit: In regard to omitting 'self' from the print statement, it still gives me an error indicating a TypeError:
print (Environment.addTopographyToEnvironment("Mountains"))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
TypeError: Environment.addTopographyToEnvironment() missing 1 required positional argument: 'topographyRegistery'
Comments
Despite having def getRegisteredEnvironment(self): it wasn't indented, so it's not recognized as a class method.
self is a keyword used in conjunction with classes (class methods or attributes) - not functions. self is implied to be the instantiated object (eg a = Environment(...) -> self would refer to a) or the module's (I can't think of the proper term) class.
You didn't have your addTopographyToEnvironment class method defined.
In terms of your Environment class, you aren't using the variables you are passing to the class, so I made that change as well - I don't know if that was intentional or not.
As per your comment from the other answer, if you had def my_class_method(self) and you try to invoke it through an object with additional parameters, like so a = my_object(); a.my_class_method("Mountains"), you should get an error of the sorts, "2 positional arguments passed, expected 1.".
Your main problem is that you are doing Environment.class_method() and not creating an object from the class. Do a = Environment(whatever arguments here) to create an object from the class, then do a.addTopographyToEnvironment("Mountains") to do what you were going to do with "Mountains" and that object. What you have currently may be right, its just is missing the proper implementation, but the below article does a great job explaining the differences between all of them (Class Methods vs Static Methods vs Instance Methods), and is definitely worth the read.
class EnvironmentInfo:
def __init__(self, perceivableFood, perceivableCreatures, regionTopography, lightVisibility):
self.perceivableFood = perceivableFood
self.perceivableCreatures = perceivableCreatures
self.regionTopography = regionTopography
self.lightVisibility = lightVisibility
class Environment:
def __init__(self, creatureRegistry, foodRegistry, topographyRegistery, lightVisibility):
logging.info("Creating new environment")
self.creatureRegistry = creatureRegistry
self.foodRegistry = foodRegistry
self.topographyRegistery = topographyRegistery
self.lightVisibility = lightVisibility
def displayEnvironment(self):
creatureRegistry = []
foodRegistry = []
topographyRegistery = ['Grasslands']
lightVisibility = True
print (f"Creatures: {creatureRegistry} Food Available: {foodRegistry} Topography: {topographyRegistery} Contains Light: {lightVisibility}")
def addTopographyToEnvironment(self, environment):
return "Whatever this is supposed to return." + environment
def getRegisteredEnvironment(self):
return self.topographyRegistry
if __name__ == "__main__":
print (Environment.displayEnvironment()) #Display hardcoded attributes
print (Environment.addTopographyToEnvironment("Mountains"))#NameError
print (Environment.getRegisteredEnvironment()) #NameError
Object Instantiation In Python
With all that out of the way, I will answer the question as is posed, "Is there a way to grab list attributes that have been initialized using self and append data to them in Python?". I am assuming you mean the contents of the list and not the attributes of it, the attributes would be "got" or at least printed with dir()
As a simple example:
class MyClass:
def __init__(self, my_list):
self.my_list = my_list
if __name__ == "__main__":
a = MyClass([1, 2, 3, 4, 5])
print(a.my_list)
# will print [1, 2, 3, 4, 5]
a.my_list.append(6)
print(a.my_list)
# will print [1, 2, 3, 4, 5, 6]
print(dir(a.my_list))
# will print all object methods and object attributes for the list associated with object "a".
Sub Classing In Python
Given what you have above, it looks like you should be using method sub classing - this is done with the keyword super. From what I can guess, it would look like you'd implement that kind of like this:
class EnvironmentInfo:
def __init__(self, perceivableFood, perceivableCreatures, regionTopography, lightVisibility):
self.perceivableFood = perceivableFood
self.perceivableCreatures = perceivableCreatures
self.regionTopography = regionTopography
self.lightVisibility = lightVisibility
class Environment(EnvironmentInfo):
def __init__(self, creatureRegistry, foodRegistry, topographyRegistery, lightVisibility, someOtherThingAvailableToEnvironmentButNotEnvironmentInfo):
logging.info("Creating new environment")
super.__init__(foodRegistry, creatureRegistry, topographyRegistery, lightVisibility)
self.my_var1 = someOtherThingAvailableToEnvironmentButNotEnvironmentInfo
def displayEnvironment(self):
creatureRegistry = []
foodRegistry = []
topographyRegistery = ['Grasslands']
lightVisibility = True
print (f"Creatures: {creatureRegistry} Food Available: {foodRegistry} Topography: {topographyRegistery} Contains Light: {lightVisibility}")
def addTopographyToEnvironment(self, environment):
return "Whatever this is supposed to return." + environment
def getRegisteredEnvironment(self):
return self.topographyRegistry
def methodAvailableToSubClassButNotSuper(self)
return self.my_var1
if __name__ == "__main__":
a = Environment([], [], [], True, "Only accessible to the sub class")
print(a.methodAvailableToSubClassButNotSuper())
as the article describes when talking about super(), methods and attributes from the super class are available to the sub class.
Extra Resources
Class Methods vs Static Methods vs Instance Methods - "Difference #2: Method Defination" gives an example that would be helpful I think.
What is sub classing in Python? - Just glanced at it; probably an okay read.
Self represents the instance of the class and you don't have access to it outside of the class, by the way when you are calling object methods of a class you don't need to pass self cause it automatically be passed to the method you just need to pass the parameters after self so if you want to call an object method like addTopographyToEnvironment(self, newVal) you should do it like:
Environment.addTopographyToEnvironment("Mountains")
and it should work fine
I recently started to work with Python's classes, since I need to work with it through the use of OTree, a Python framework used for online experiment.
In one file, I define the pages that I want to be created, using classes. So essentially, in the OTree system, each class corresponds to a new page. The thing is, all pages (so classes) are basically the same, at the exception to some two parameters, as shown in the following code:
class Task1(Page):
form_model = 'player'
form_fields = ['Envie_WordsList_Toy']
def is_displayed(self):
return self.round_number == self.participant.vars['task_rounds'][1]
def vars_for_template(player):
WordsList_Toy= Constants.WordsList_Toy.copy()
random.shuffle(WordsList_Toy)
return dict(
WordsList_Toy=WordsList_Toy
)
#staticmethod
def live_method(player, data):
player.WTP_WordsList_Toy = int(data)
def before_next_page(self):
self.participant.vars['Envie_WordsList_Toy'] = self.player.Envie_WordsList_Toy
self.participant.vars['WTP_WordsList_Toy'] = self.player.WTP_WordsList_Toy
So here, the only thing that would change would be the name of the class, as well as the suffix of the variable WordsList_ used throughout this code, which is Toy.
Naively, what I tried to do is to define a function that would take those two parameters, such as this:
def page_creation(Task_Number,name_type):
class Task+str(Task_Number)(Page):
form_model = 'player'
form_fields = ['Envie_WordsList_'+str(name_type)]
def is_displayed(self):
return self.round_number == self.participant.vars['task_rounds'][1]
def vars_for_template(player):
WordsList_+str(name_type) = Constants.WordsList+str(name_type).copy()
random.shuffle(WordsList_+str(name_type))
return dict(
WordsList_+str(name_type)=WordsList_+str(name_type)
)
#staticmethod
def live_method(player, data):
player.WTP_WordsList_+str(name_type) = int(data)
def before_next_page(self):
self.participant.vars['Envie_WordsList_+str(name_type)'] = self.player.Envie_WordsList_+str(name_type)
self.participant.vars['WTP_WordsList_+str(name_type)'] = self.player.WTP_WordsList_+str(name_type)
Obviously, it does not work since I have the feeling that it is not possible to construct variables (or classes identifier) this way. I just started to really work on Python some weeks ago, so some of its aspects might escape me still. Could you help me on this issue? Thank you.
You can generate dynamic classes using the type constructor:
MyClass = type("MyClass", (BaseClass1, BaseClass2), {"attr1": "value1", ...})
Thus, according to your case, that would be:
cls = type(f"Task{TaskNumber}", (Page, ), {"form_fields": [f"Envive_WordList_{name_type}"], ...})
Note that you still have to construct your common methods like __init__, is_displayed and so on, as inner functions of the class factory:
def class_factory(*args, **kwargs):
...
def is_displayed(self):
return self.round_number == self.participant.vars['task_rounds']
def vars_for_template(player):
...
# Classmethod wrapping is done below
def live_method(player, data):
...
cls = type(..., {
"is_displayed": is_displayed,
"vars_for_template": vars_for_template,
"live_method": classmethod(live_method),
...,
}
#classmethod could be used as a function - {"live_method": classmethod(my_method)}
I come from native POO programming languages and I'm new in Python, also Django.
I see that in Django they put all code from an app in same views.py or models.py.
Now I'm in a view called:
def create_ticket(self):
....
And inside I have this code
is_staff=User.objects.get(pk=request.user.id).is_staff
if is_staff==1:
R_Client_Accountant = LinkUserContable.objects.filter(contable=mongoId)
print(R_Client_Accountant)
accountantList = []
for relation in R_Client_Accountant:
try:
rmongosql = RMongoSql.objects.get(mongoId=relation.user.id)
user = User.objects.get(pk=rmongosql.helpdeskId)
accountantList.append((user.id,user.username))
except:
pass
else:
R_Client_Accountant = LinkUserContable.objects.filter(user=mongoId)
accountantList = []
for relation in R_Client_Accountant:
try:
rmongosql = RMongoSql.objects.get(mongoId=relation.contable.id)
user = User.objects.get(pk=rmongosql.helpdeskId)
accountantList.append((user.id,user.username))
except:
pass
As you can see I repeat code inside the 'try' just exchanging {user XOR contable}
If I want to write a function passing by parameter this {user XOR contable} where should I place it ?
To me, in corresponding model from models.py is not correct because there are so much code lines referring to different models and views.py is just for view functions right ?
Regards,
Víctor.
you can use the getattr function to use a string to get the required attribute getattr(relation, relation_attr)
your function would look like this
def create_ticket(self):
is_staff=User.objects.get(pk=request.user.id).is_staff
if is_staff==1:
relation_attr = 'user'
else:
relation_attr = 'contable'
R_Client_Accountant = LinkUserContable.objects.filter(contable=mongoId)
print(R_Client_Accountant)
accountantList = []
for relation in R_Client_Accountant:
try:
rmongosql = RMongoSql.objects.get(mongoId=getattr(relation, relation_attr).id)
user = User.objects.get(pk=rmongosql.helpdeskId)
accountantList.append((user.id, user.username))
except:
pass
I want to pass a jlist (which I generate everytime the 'javaindex' method is called) to another view i.e the javaresult view. I am generating the jlist from the Question model.
def javaindex(request):
javapool = list(Question.objects.all())
random.shuffle(javapool)
jlist = javapool[:10]
request.session['jlist'] = jlist
return render(request,'index.html',{'latest_question_list': jlist})
My other view is
def javaresult(request):
ch = [0]
correct = 0
jlist = request.session['jlist']
for i in range(1,11):
s = request.POST.get(str(i))
if s:
question, choice = s.split('-')
ch.append(choice)
if jlist[i].ans == ch[i]:
correct+=1
return HttpResponse(correct)
I searched on SO and hence added the request.session['jlist'] but that is giving me an error <Question: Question object> is not JSON serializable.
How do i get rid of this? Thanks :)
Save ids of the Question objects in the session and get objects from DB in second view again.
def javaindex(request):
...
request.session['jlist'] = [j.id for j in jlist]
...
def javaresult(request):
...
jlist = Question.objects.filter(id__in=request.session['jlist'])
...
Here is Customer class:
class Customer:
def __init__(self, timestamp, cid, item_count):
self.time_stamp = timestamp
self.customer_name = cid
self.item_count = item_count
def checkout(self, new_timestamp):
self.time_stamp = new_timestamp
def get_cus_name(self):
return self.customer_name
If I create an empty list of Customer objects like:
customers = [Customer]
And then somewhere else I try to call Customer methods in a loop like:
def checkout_customer(self, cid):
for cus in self.customers:
if cus.get_cus_name == cid:
cus.checkout(self.cur_num_customers + 7)
why do I get an error when I try to call cus.checkout? My ide tells me that it expects a Customer but got an int. Why doesn't it pass itself into the 'self' arg here?
However if I just create a Customer object and directly call its methods, it works fine:
def foo(self):
cus = Customer(1,'pop',2)
cus.checkout(23)
This is my first time learning python, and ive been stuck trying to figure out lists, and accessing its members. Perhaps my initialization of self.custormers = [Customer] is incorrect?
EDIT:
In my constructor of tester class I create an empty list like this:
self.customer = [Customer]
I am able to add customers no problem:
def add_custormer(self, customer):
self.customers.append(customer)
My problem is not adding customers, but accessing their methods once they are in a list. Doing something like this self.customers[0].checkout(1,'pop',2) gives me an error "Expected type 'Customer' got int".
I am not sure of the class where checkout_customer lives but I am assuming you declare the list self.customers somewhere in it.
self.costumers = []
If you intend to add an element Customer to the list you should use something like: self.customers.append(Customer(x,y,z)) since you want to add a new customer to the list and when doing so you are required to initialize the Customer class.
I didn't try the code but I believe something like this should work:
def foo(self):
self.customers.append(Customer(1,'pop',2))
self.checkout_customers(23)