what is the best way to define constant variables python 3












3














I am writing a program in python which contains many constant variables. I would like to create a file which will hold all these variables like .h file in C that contains many #define. I tried to use configparser however I didn't find it easy and fun to use.



Do you know a better way?










share|improve this question
























  • As far as configuration variables go, you can set environment variables and read them from within your code. You could also use JSON or YAML files.
    – huck_cussler
    May 25 at 17:17










  • related post: stackoverflow.com/questions/2682745/…
    – Neil
    Oct 18 at 10:02
















3














I am writing a program in python which contains many constant variables. I would like to create a file which will hold all these variables like .h file in C that contains many #define. I tried to use configparser however I didn't find it easy and fun to use.



Do you know a better way?










share|improve this question
























  • As far as configuration variables go, you can set environment variables and read them from within your code. You could also use JSON or YAML files.
    – huck_cussler
    May 25 at 17:17










  • related post: stackoverflow.com/questions/2682745/…
    – Neil
    Oct 18 at 10:02














3












3








3







I am writing a program in python which contains many constant variables. I would like to create a file which will hold all these variables like .h file in C that contains many #define. I tried to use configparser however I didn't find it easy and fun to use.



Do you know a better way?










share|improve this question















I am writing a program in python which contains many constant variables. I would like to create a file which will hold all these variables like .h file in C that contains many #define. I tried to use configparser however I didn't find it easy and fun to use.



Do you know a better way?







python python-3.x constants configuration-files






share|improve this question















share|improve this question













share|improve this question




share|improve this question








edited May 25 at 17:34









9000

29.1k74582




29.1k74582










asked May 25 at 16:56









TomE8

7318




7318












  • As far as configuration variables go, you can set environment variables and read them from within your code. You could also use JSON or YAML files.
    – huck_cussler
    May 25 at 17:17










  • related post: stackoverflow.com/questions/2682745/…
    – Neil
    Oct 18 at 10:02


















  • As far as configuration variables go, you can set environment variables and read them from within your code. You could also use JSON or YAML files.
    – huck_cussler
    May 25 at 17:17










  • related post: stackoverflow.com/questions/2682745/…
    – Neil
    Oct 18 at 10:02
















As far as configuration variables go, you can set environment variables and read them from within your code. You could also use JSON or YAML files.
– huck_cussler
May 25 at 17:17




As far as configuration variables go, you can set environment variables and read them from within your code. You could also use JSON or YAML files.
– huck_cussler
May 25 at 17:17












related post: stackoverflow.com/questions/2682745/…
– Neil
Oct 18 at 10:02




related post: stackoverflow.com/questions/2682745/…
– Neil
Oct 18 at 10:02












3 Answers
3






active

oldest

votes


















6














Python is not allowing constants declaration like in C or C++.



Normally in Python, constants are capitalized (PEP 8 standards) which helps the programmer know it's a constant.



Ex. MY_CONSTANT = "Whatever"



Another valid way of doing it which I don't use but heard of, is using a method:



def MY_CONSTANT():
return "Whatever"


Now in theory, calling MY_CONSTANT() acts just like a constant.



EDIT



Like the comments says, someone can go and change the value by calling



MY_CONSTANT = lambda: 'Something else'


but don't forget the same person can call MY_CONSTANT = "Something else" in the first example and change the initial value. In both cases it is unlikely but possible.






share|improve this answer



















  • 1




    MY_CONSTANT = lambda: 'Something else' – Not sure why you'd bother with a "constant function", it's not any more constant.
    – deceze
    May 25 at 17:17












  • @scharette The point is that whether you use def or lambda, you can still easily change the value of MY_CONSTANT; it's just a name that refers to some object, whether that object be an int or a function. Plus, the overhead of calling a function (both the lexical overhead of having to add () and the run-time overhead of setting up the stack frame) outweigh any perceived benefit.
    – chepner
    May 25 at 17:31










  • MY_CONSTANT = lambda: "new value"! is just as easy to write as MY_CONSTANT = "new value!"; making it a function doesn't do anything useful.
    – chepner
    May 25 at 17:33










  • You're right, this is not how I understood what he meant. I'm not trying to say this is a real constant, he's asking for C like constants, which doesn't exist in built-in python. My point is if someone is calling MY_CONSTANT = lambda: 'Something else' he really wants to change the value.
    – scharette
    May 25 at 17:36












  • Samething goes for someone changing the constant itself in C. I mean a constant is a constant until the day someone goes around and change the inital value...
    – scharette
    May 25 at 17:37





















2














There are no constants in Python, the way they exist in C or Java. You can imitate them by functions:



def FOO():
return "foo"


You can wrap the function call in a property, and thus make it look like a variable:



class Const:
@property
def FOO(self):
return "foo"

CONST = Const() # You need an instance

if something == CONST.FOO:
...


With a bit of meta stuff, one can get unsettable attributes with a terse syntax:



def const(cls):
# Replace a class's attributes with properties,
# and itself with an instance of its doppelganger.
is_special = lambda name: (name.startswith("__") and name.endswith("__"))
class_contents = {n: getattr(cls, n) for n in vars(cls) if not is_special(n)}
def unbind(value): # Get the value out of the lexical closure.
return lambda self: value
propertified_contents = {name: property(unbind(value))
for (name, value) in class_contents.items()}
receptor = type(cls.__name__, (object,), propertified_contents)
return receptor() # Replace with an instance, so properties work.


@const
class Paths(object):
home = "/home"
null = "/dev/null"


Now you can access Paths.home as a normal value, but can't assign to it. You can define several classes decorated with @const, as you might use several .h files.






share|improve this answer































    1














    You can use something like this:



    Files structure:



    myapp/
    __init__.py
    settings.py
    main.py


    settings.py



    CONST_A = 'A'
    CONST_B = 'B'


    __init__.py



    from . import settings as global_settings


    class Settings:

    def __init__(self):
    for setting in dir(global_settings):
    if setting.isupper():
    setattr(self, setting, getattr(global_settings, setting))

    def __setattr__(self, attr, value):
    if not getattr(self, attr, None):
    super().__setattr__(attr, value)
    else:
    raise TypeError("'constant' does not support item assignment")


    settings = Settings()


    main.py



    import settings

    print(settings.CONST_A) # prints A

    settings.CONST_A = 'C' # raises TypeError error

    print(settings.CONST_A) # prints A

    settings.CONST_C = 'C' # also able to add new constants
    print(settings.CONST_C) # prints C


    Overwritten __setattr__ in Settings class makes all the attributes read-only.
    The only requirement is to have all the constants in your settings.py written in capital letters.
    But be aware, that it's not gonna work if you import variables directly:



    from settings import CONST_A

    print(settings.CONST_A) # prints A

    settings.CONST_A = 'C' # sets C

    print(settings.CONST_A) # prints C





    share|improve this answer





















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      3 Answers
      3






      active

      oldest

      votes








      3 Answers
      3






      active

      oldest

      votes









      active

      oldest

      votes






      active

      oldest

      votes









      6














      Python is not allowing constants declaration like in C or C++.



      Normally in Python, constants are capitalized (PEP 8 standards) which helps the programmer know it's a constant.



      Ex. MY_CONSTANT = "Whatever"



      Another valid way of doing it which I don't use but heard of, is using a method:



      def MY_CONSTANT():
      return "Whatever"


      Now in theory, calling MY_CONSTANT() acts just like a constant.



      EDIT



      Like the comments says, someone can go and change the value by calling



      MY_CONSTANT = lambda: 'Something else'


      but don't forget the same person can call MY_CONSTANT = "Something else" in the first example and change the initial value. In both cases it is unlikely but possible.






      share|improve this answer



















      • 1




        MY_CONSTANT = lambda: 'Something else' – Not sure why you'd bother with a "constant function", it's not any more constant.
        – deceze
        May 25 at 17:17












      • @scharette The point is that whether you use def or lambda, you can still easily change the value of MY_CONSTANT; it's just a name that refers to some object, whether that object be an int or a function. Plus, the overhead of calling a function (both the lexical overhead of having to add () and the run-time overhead of setting up the stack frame) outweigh any perceived benefit.
        – chepner
        May 25 at 17:31










      • MY_CONSTANT = lambda: "new value"! is just as easy to write as MY_CONSTANT = "new value!"; making it a function doesn't do anything useful.
        – chepner
        May 25 at 17:33










      • You're right, this is not how I understood what he meant. I'm not trying to say this is a real constant, he's asking for C like constants, which doesn't exist in built-in python. My point is if someone is calling MY_CONSTANT = lambda: 'Something else' he really wants to change the value.
        – scharette
        May 25 at 17:36












      • Samething goes for someone changing the constant itself in C. I mean a constant is a constant until the day someone goes around and change the inital value...
        – scharette
        May 25 at 17:37


















      6














      Python is not allowing constants declaration like in C or C++.



      Normally in Python, constants are capitalized (PEP 8 standards) which helps the programmer know it's a constant.



      Ex. MY_CONSTANT = "Whatever"



      Another valid way of doing it which I don't use but heard of, is using a method:



      def MY_CONSTANT():
      return "Whatever"


      Now in theory, calling MY_CONSTANT() acts just like a constant.



      EDIT



      Like the comments says, someone can go and change the value by calling



      MY_CONSTANT = lambda: 'Something else'


      but don't forget the same person can call MY_CONSTANT = "Something else" in the first example and change the initial value. In both cases it is unlikely but possible.






      share|improve this answer



















      • 1




        MY_CONSTANT = lambda: 'Something else' – Not sure why you'd bother with a "constant function", it's not any more constant.
        – deceze
        May 25 at 17:17












      • @scharette The point is that whether you use def or lambda, you can still easily change the value of MY_CONSTANT; it's just a name that refers to some object, whether that object be an int or a function. Plus, the overhead of calling a function (both the lexical overhead of having to add () and the run-time overhead of setting up the stack frame) outweigh any perceived benefit.
        – chepner
        May 25 at 17:31










      • MY_CONSTANT = lambda: "new value"! is just as easy to write as MY_CONSTANT = "new value!"; making it a function doesn't do anything useful.
        – chepner
        May 25 at 17:33










      • You're right, this is not how I understood what he meant. I'm not trying to say this is a real constant, he's asking for C like constants, which doesn't exist in built-in python. My point is if someone is calling MY_CONSTANT = lambda: 'Something else' he really wants to change the value.
        – scharette
        May 25 at 17:36












      • Samething goes for someone changing the constant itself in C. I mean a constant is a constant until the day someone goes around and change the inital value...
        – scharette
        May 25 at 17:37
















      6












      6








      6






      Python is not allowing constants declaration like in C or C++.



      Normally in Python, constants are capitalized (PEP 8 standards) which helps the programmer know it's a constant.



      Ex. MY_CONSTANT = "Whatever"



      Another valid way of doing it which I don't use but heard of, is using a method:



      def MY_CONSTANT():
      return "Whatever"


      Now in theory, calling MY_CONSTANT() acts just like a constant.



      EDIT



      Like the comments says, someone can go and change the value by calling



      MY_CONSTANT = lambda: 'Something else'


      but don't forget the same person can call MY_CONSTANT = "Something else" in the first example and change the initial value. In both cases it is unlikely but possible.






      share|improve this answer














      Python is not allowing constants declaration like in C or C++.



      Normally in Python, constants are capitalized (PEP 8 standards) which helps the programmer know it's a constant.



      Ex. MY_CONSTANT = "Whatever"



      Another valid way of doing it which I don't use but heard of, is using a method:



      def MY_CONSTANT():
      return "Whatever"


      Now in theory, calling MY_CONSTANT() acts just like a constant.



      EDIT



      Like the comments says, someone can go and change the value by calling



      MY_CONSTANT = lambda: 'Something else'


      but don't forget the same person can call MY_CONSTANT = "Something else" in the first example and change the initial value. In both cases it is unlikely but possible.







      share|improve this answer














      share|improve this answer



      share|improve this answer








      edited Nov 12 at 14:57

























      answered May 25 at 17:11









      scharette

      4,91431339




      4,91431339








      • 1




        MY_CONSTANT = lambda: 'Something else' – Not sure why you'd bother with a "constant function", it's not any more constant.
        – deceze
        May 25 at 17:17












      • @scharette The point is that whether you use def or lambda, you can still easily change the value of MY_CONSTANT; it's just a name that refers to some object, whether that object be an int or a function. Plus, the overhead of calling a function (both the lexical overhead of having to add () and the run-time overhead of setting up the stack frame) outweigh any perceived benefit.
        – chepner
        May 25 at 17:31










      • MY_CONSTANT = lambda: "new value"! is just as easy to write as MY_CONSTANT = "new value!"; making it a function doesn't do anything useful.
        – chepner
        May 25 at 17:33










      • You're right, this is not how I understood what he meant. I'm not trying to say this is a real constant, he's asking for C like constants, which doesn't exist in built-in python. My point is if someone is calling MY_CONSTANT = lambda: 'Something else' he really wants to change the value.
        – scharette
        May 25 at 17:36












      • Samething goes for someone changing the constant itself in C. I mean a constant is a constant until the day someone goes around and change the inital value...
        – scharette
        May 25 at 17:37
















      • 1




        MY_CONSTANT = lambda: 'Something else' – Not sure why you'd bother with a "constant function", it's not any more constant.
        – deceze
        May 25 at 17:17












      • @scharette The point is that whether you use def or lambda, you can still easily change the value of MY_CONSTANT; it's just a name that refers to some object, whether that object be an int or a function. Plus, the overhead of calling a function (both the lexical overhead of having to add () and the run-time overhead of setting up the stack frame) outweigh any perceived benefit.
        – chepner
        May 25 at 17:31










      • MY_CONSTANT = lambda: "new value"! is just as easy to write as MY_CONSTANT = "new value!"; making it a function doesn't do anything useful.
        – chepner
        May 25 at 17:33










      • You're right, this is not how I understood what he meant. I'm not trying to say this is a real constant, he's asking for C like constants, which doesn't exist in built-in python. My point is if someone is calling MY_CONSTANT = lambda: 'Something else' he really wants to change the value.
        – scharette
        May 25 at 17:36












      • Samething goes for someone changing the constant itself in C. I mean a constant is a constant until the day someone goes around and change the inital value...
        – scharette
        May 25 at 17:37










      1




      1




      MY_CONSTANT = lambda: 'Something else' – Not sure why you'd bother with a "constant function", it's not any more constant.
      – deceze
      May 25 at 17:17






      MY_CONSTANT = lambda: 'Something else' – Not sure why you'd bother with a "constant function", it's not any more constant.
      – deceze
      May 25 at 17:17














      @scharette The point is that whether you use def or lambda, you can still easily change the value of MY_CONSTANT; it's just a name that refers to some object, whether that object be an int or a function. Plus, the overhead of calling a function (both the lexical overhead of having to add () and the run-time overhead of setting up the stack frame) outweigh any perceived benefit.
      – chepner
      May 25 at 17:31




      @scharette The point is that whether you use def or lambda, you can still easily change the value of MY_CONSTANT; it's just a name that refers to some object, whether that object be an int or a function. Plus, the overhead of calling a function (both the lexical overhead of having to add () and the run-time overhead of setting up the stack frame) outweigh any perceived benefit.
      – chepner
      May 25 at 17:31












      MY_CONSTANT = lambda: "new value"! is just as easy to write as MY_CONSTANT = "new value!"; making it a function doesn't do anything useful.
      – chepner
      May 25 at 17:33




      MY_CONSTANT = lambda: "new value"! is just as easy to write as MY_CONSTANT = "new value!"; making it a function doesn't do anything useful.
      – chepner
      May 25 at 17:33












      You're right, this is not how I understood what he meant. I'm not trying to say this is a real constant, he's asking for C like constants, which doesn't exist in built-in python. My point is if someone is calling MY_CONSTANT = lambda: 'Something else' he really wants to change the value.
      – scharette
      May 25 at 17:36






      You're right, this is not how I understood what he meant. I'm not trying to say this is a real constant, he's asking for C like constants, which doesn't exist in built-in python. My point is if someone is calling MY_CONSTANT = lambda: 'Something else' he really wants to change the value.
      – scharette
      May 25 at 17:36














      Samething goes for someone changing the constant itself in C. I mean a constant is a constant until the day someone goes around and change the inital value...
      – scharette
      May 25 at 17:37






      Samething goes for someone changing the constant itself in C. I mean a constant is a constant until the day someone goes around and change the inital value...
      – scharette
      May 25 at 17:37















      2














      There are no constants in Python, the way they exist in C or Java. You can imitate them by functions:



      def FOO():
      return "foo"


      You can wrap the function call in a property, and thus make it look like a variable:



      class Const:
      @property
      def FOO(self):
      return "foo"

      CONST = Const() # You need an instance

      if something == CONST.FOO:
      ...


      With a bit of meta stuff, one can get unsettable attributes with a terse syntax:



      def const(cls):
      # Replace a class's attributes with properties,
      # and itself with an instance of its doppelganger.
      is_special = lambda name: (name.startswith("__") and name.endswith("__"))
      class_contents = {n: getattr(cls, n) for n in vars(cls) if not is_special(n)}
      def unbind(value): # Get the value out of the lexical closure.
      return lambda self: value
      propertified_contents = {name: property(unbind(value))
      for (name, value) in class_contents.items()}
      receptor = type(cls.__name__, (object,), propertified_contents)
      return receptor() # Replace with an instance, so properties work.


      @const
      class Paths(object):
      home = "/home"
      null = "/dev/null"


      Now you can access Paths.home as a normal value, but can't assign to it. You can define several classes decorated with @const, as you might use several .h files.






      share|improve this answer




























        2














        There are no constants in Python, the way they exist in C or Java. You can imitate them by functions:



        def FOO():
        return "foo"


        You can wrap the function call in a property, and thus make it look like a variable:



        class Const:
        @property
        def FOO(self):
        return "foo"

        CONST = Const() # You need an instance

        if something == CONST.FOO:
        ...


        With a bit of meta stuff, one can get unsettable attributes with a terse syntax:



        def const(cls):
        # Replace a class's attributes with properties,
        # and itself with an instance of its doppelganger.
        is_special = lambda name: (name.startswith("__") and name.endswith("__"))
        class_contents = {n: getattr(cls, n) for n in vars(cls) if not is_special(n)}
        def unbind(value): # Get the value out of the lexical closure.
        return lambda self: value
        propertified_contents = {name: property(unbind(value))
        for (name, value) in class_contents.items()}
        receptor = type(cls.__name__, (object,), propertified_contents)
        return receptor() # Replace with an instance, so properties work.


        @const
        class Paths(object):
        home = "/home"
        null = "/dev/null"


        Now you can access Paths.home as a normal value, but can't assign to it. You can define several classes decorated with @const, as you might use several .h files.






        share|improve this answer


























          2












          2








          2






          There are no constants in Python, the way they exist in C or Java. You can imitate them by functions:



          def FOO():
          return "foo"


          You can wrap the function call in a property, and thus make it look like a variable:



          class Const:
          @property
          def FOO(self):
          return "foo"

          CONST = Const() # You need an instance

          if something == CONST.FOO:
          ...


          With a bit of meta stuff, one can get unsettable attributes with a terse syntax:



          def const(cls):
          # Replace a class's attributes with properties,
          # and itself with an instance of its doppelganger.
          is_special = lambda name: (name.startswith("__") and name.endswith("__"))
          class_contents = {n: getattr(cls, n) for n in vars(cls) if not is_special(n)}
          def unbind(value): # Get the value out of the lexical closure.
          return lambda self: value
          propertified_contents = {name: property(unbind(value))
          for (name, value) in class_contents.items()}
          receptor = type(cls.__name__, (object,), propertified_contents)
          return receptor() # Replace with an instance, so properties work.


          @const
          class Paths(object):
          home = "/home"
          null = "/dev/null"


          Now you can access Paths.home as a normal value, but can't assign to it. You can define several classes decorated with @const, as you might use several .h files.






          share|improve this answer














          There are no constants in Python, the way they exist in C or Java. You can imitate them by functions:



          def FOO():
          return "foo"


          You can wrap the function call in a property, and thus make it look like a variable:



          class Const:
          @property
          def FOO(self):
          return "foo"

          CONST = Const() # You need an instance

          if something == CONST.FOO:
          ...


          With a bit of meta stuff, one can get unsettable attributes with a terse syntax:



          def const(cls):
          # Replace a class's attributes with properties,
          # and itself with an instance of its doppelganger.
          is_special = lambda name: (name.startswith("__") and name.endswith("__"))
          class_contents = {n: getattr(cls, n) for n in vars(cls) if not is_special(n)}
          def unbind(value): # Get the value out of the lexical closure.
          return lambda self: value
          propertified_contents = {name: property(unbind(value))
          for (name, value) in class_contents.items()}
          receptor = type(cls.__name__, (object,), propertified_contents)
          return receptor() # Replace with an instance, so properties work.


          @const
          class Paths(object):
          home = "/home"
          null = "/dev/null"


          Now you can access Paths.home as a normal value, but can't assign to it. You can define several classes decorated with @const, as you might use several .h files.







          share|improve this answer














          share|improve this answer



          share|improve this answer








          edited May 25 at 18:13

























          answered May 25 at 17:51









          9000

          29.1k74582




          29.1k74582























              1














              You can use something like this:



              Files structure:



              myapp/
              __init__.py
              settings.py
              main.py


              settings.py



              CONST_A = 'A'
              CONST_B = 'B'


              __init__.py



              from . import settings as global_settings


              class Settings:

              def __init__(self):
              for setting in dir(global_settings):
              if setting.isupper():
              setattr(self, setting, getattr(global_settings, setting))

              def __setattr__(self, attr, value):
              if not getattr(self, attr, None):
              super().__setattr__(attr, value)
              else:
              raise TypeError("'constant' does not support item assignment")


              settings = Settings()


              main.py



              import settings

              print(settings.CONST_A) # prints A

              settings.CONST_A = 'C' # raises TypeError error

              print(settings.CONST_A) # prints A

              settings.CONST_C = 'C' # also able to add new constants
              print(settings.CONST_C) # prints C


              Overwritten __setattr__ in Settings class makes all the attributes read-only.
              The only requirement is to have all the constants in your settings.py written in capital letters.
              But be aware, that it's not gonna work if you import variables directly:



              from settings import CONST_A

              print(settings.CONST_A) # prints A

              settings.CONST_A = 'C' # sets C

              print(settings.CONST_A) # prints C





              share|improve this answer


























                1














                You can use something like this:



                Files structure:



                myapp/
                __init__.py
                settings.py
                main.py


                settings.py



                CONST_A = 'A'
                CONST_B = 'B'


                __init__.py



                from . import settings as global_settings


                class Settings:

                def __init__(self):
                for setting in dir(global_settings):
                if setting.isupper():
                setattr(self, setting, getattr(global_settings, setting))

                def __setattr__(self, attr, value):
                if not getattr(self, attr, None):
                super().__setattr__(attr, value)
                else:
                raise TypeError("'constant' does not support item assignment")


                settings = Settings()


                main.py



                import settings

                print(settings.CONST_A) # prints A

                settings.CONST_A = 'C' # raises TypeError error

                print(settings.CONST_A) # prints A

                settings.CONST_C = 'C' # also able to add new constants
                print(settings.CONST_C) # prints C


                Overwritten __setattr__ in Settings class makes all the attributes read-only.
                The only requirement is to have all the constants in your settings.py written in capital letters.
                But be aware, that it's not gonna work if you import variables directly:



                from settings import CONST_A

                print(settings.CONST_A) # prints A

                settings.CONST_A = 'C' # sets C

                print(settings.CONST_A) # prints C





                share|improve this answer
























                  1












                  1








                  1






                  You can use something like this:



                  Files structure:



                  myapp/
                  __init__.py
                  settings.py
                  main.py


                  settings.py



                  CONST_A = 'A'
                  CONST_B = 'B'


                  __init__.py



                  from . import settings as global_settings


                  class Settings:

                  def __init__(self):
                  for setting in dir(global_settings):
                  if setting.isupper():
                  setattr(self, setting, getattr(global_settings, setting))

                  def __setattr__(self, attr, value):
                  if not getattr(self, attr, None):
                  super().__setattr__(attr, value)
                  else:
                  raise TypeError("'constant' does not support item assignment")


                  settings = Settings()


                  main.py



                  import settings

                  print(settings.CONST_A) # prints A

                  settings.CONST_A = 'C' # raises TypeError error

                  print(settings.CONST_A) # prints A

                  settings.CONST_C = 'C' # also able to add new constants
                  print(settings.CONST_C) # prints C


                  Overwritten __setattr__ in Settings class makes all the attributes read-only.
                  The only requirement is to have all the constants in your settings.py written in capital letters.
                  But be aware, that it's not gonna work if you import variables directly:



                  from settings import CONST_A

                  print(settings.CONST_A) # prints A

                  settings.CONST_A = 'C' # sets C

                  print(settings.CONST_A) # prints C





                  share|improve this answer












                  You can use something like this:



                  Files structure:



                  myapp/
                  __init__.py
                  settings.py
                  main.py


                  settings.py



                  CONST_A = 'A'
                  CONST_B = 'B'


                  __init__.py



                  from . import settings as global_settings


                  class Settings:

                  def __init__(self):
                  for setting in dir(global_settings):
                  if setting.isupper():
                  setattr(self, setting, getattr(global_settings, setting))

                  def __setattr__(self, attr, value):
                  if not getattr(self, attr, None):
                  super().__setattr__(attr, value)
                  else:
                  raise TypeError("'constant' does not support item assignment")


                  settings = Settings()


                  main.py



                  import settings

                  print(settings.CONST_A) # prints A

                  settings.CONST_A = 'C' # raises TypeError error

                  print(settings.CONST_A) # prints A

                  settings.CONST_C = 'C' # also able to add new constants
                  print(settings.CONST_C) # prints C


                  Overwritten __setattr__ in Settings class makes all the attributes read-only.
                  The only requirement is to have all the constants in your settings.py written in capital letters.
                  But be aware, that it's not gonna work if you import variables directly:



                  from settings import CONST_A

                  print(settings.CONST_A) # prints A

                  settings.CONST_A = 'C' # sets C

                  print(settings.CONST_A) # prints C






                  share|improve this answer












                  share|improve this answer



                  share|improve this answer










                  answered May 25 at 18:20









                  Artem Nepo

                  16318




                  16318






























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