| | |
- __builtin__.dict(__builtin__.object)
-
- BaseCookie
-
- SerialCookie
- SimpleCookie
- SmartCookie
- exceptions.Exception(exceptions.BaseException)
-
- CookieError
class BaseCookie(__builtin__.dict) |
| |
# At long last, here is the cookie class.
# Using this class is almost just like using a dictionary.
# See this module's docstring for example usage.
|
| |
- Method resolution order:
- BaseCookie
- __builtin__.dict
- __builtin__.object
Methods defined here:
- __init__(self, input=None)
- __repr__(self)
- __setitem__(self, key, value)
- Dictionary style assignment.
- __str__ = output(self, attrs=None, header='Set-Cookie:', sep='\r\n')
- js_output(self, attrs=None)
- Return a string suitable for JavaScript.
- load(self, rawdata)
- Load cookies from a string (presumably HTTP_COOKIE) or
from a dictionary. Loading cookies from a dictionary 'd'
is equivalent to calling:
map(Cookie.__setitem__, d.keys(), d.values())
- output(self, attrs=None, header='Set-Cookie:', sep='\r\n')
- Return a string suitable for HTTP.
- value_decode(self, val)
- real_value, coded_value = value_decode(STRING)
Called prior to setting a cookie's value from the network
representation. The VALUE is the value read from HTTP
header.
Override this function to modify the behavior of cookies.
- value_encode(self, val)
- real_value, coded_value = value_encode(VALUE)
Called prior to setting a cookie's value from the dictionary
representation. The VALUE is the value being assigned.
Override this function to modify the behavior of cookies.
Data descriptors defined here:
- __dict__
- dictionary for instance variables (if defined)
- __weakref__
- list of weak references to the object (if defined)
Methods inherited from __builtin__.dict:
- __cmp__(...)
- x.__cmp__(y) <==> cmp(x,y)
- __contains__(...)
- D.__contains__(k) -> True if D has a key k, else False
- __delitem__(...)
- x.__delitem__(y) <==> del x[y]
- __eq__(...)
- x.__eq__(y) <==> x==y
- __ge__(...)
- x.__ge__(y) <==> x>=y
- __getattribute__(...)
- x.__getattribute__('name') <==> x.name
- __getitem__(...)
- x.__getitem__(y) <==> x[y]
- __gt__(...)
- x.__gt__(y) <==> x>y
- __iter__(...)
- x.__iter__() <==> iter(x)
- __le__(...)
- x.__le__(y) <==> x<=y
- __len__(...)
- x.__len__() <==> len(x)
- __lt__(...)
- x.__lt__(y) <==> x<y
- __ne__(...)
- x.__ne__(y) <==> x!=y
- __sizeof__(...)
- D.__sizeof__() -> size of D in memory, in bytes
- clear(...)
- D.clear() -> None. Remove all items from D.
- copy(...)
- D.copy() -> a shallow copy of D
- fromkeys(...)
- dict.fromkeys(S[,v]) -> New dict with keys from S and values equal to v.
v defaults to None.
- get(...)
- D.get(k[,d]) -> D[k] if k in D, else d. d defaults to None.
- has_key(...)
- D.has_key(k) -> True if D has a key k, else False
- items(...)
- D.items() -> list of D's (key, value) pairs, as 2-tuples
- iteritems(...)
- D.iteritems() -> an iterator over the (key, value) items of D
- iterkeys(...)
- D.iterkeys() -> an iterator over the keys of D
- itervalues(...)
- D.itervalues() -> an iterator over the values of D
- keys(...)
- D.keys() -> list of D's keys
- pop(...)
- D.pop(k[,d]) -> v, remove specified key and return the corresponding value.
If key is not found, d is returned if given, otherwise KeyError is raised
- popitem(...)
- D.popitem() -> (k, v), remove and return some (key, value) pair as a
2-tuple; but raise KeyError if D is empty.
- setdefault(...)
- D.setdefault(k[,d]) -> D.get(k,d), also set D[k]=d if k not in D
- update(...)
- D.update([E, ]**F) -> None. Update D from dict/iterable E and F.
If E present and has a .keys() method, does: for k in E: D[k] = E[k]
If E present and lacks .keys() method, does: for (k, v) in E: D[k] = v
In either case, this is followed by: for k in F: D[k] = F[k]
- values(...)
- D.values() -> list of D's values
- viewitems(...)
- D.viewitems() -> a set-like object providing a view on D's items
- viewkeys(...)
- D.viewkeys() -> a set-like object providing a view on D's keys
- viewvalues(...)
- D.viewvalues() -> an object providing a view on D's values
Data and other attributes inherited from __builtin__.dict:
- __hash__ = None
- __new__ = <built-in method __new__ of type object>
- T.__new__(S, ...) -> a new object with type S, a subtype of T
|
Cookie = class SmartCookie(BaseCookie) |
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SmartCookie
SmartCookie supports arbitrary objects as cookie values. If the
object is a string, then it is quoted. If the object is not a
string, however, then SmartCookie will use cPickle to serialize
the object into a string representation.
Note: Large cookie values add overhead because they must be
retransmitted on every HTTP transaction.
Note: HTTP has a 2k limit on the size of a cookie. This class
does not check for this limit, so be careful!!!
|
| |
- Method resolution order:
- SmartCookie
- BaseCookie
- __builtin__.dict
- __builtin__.object
Methods defined here:
- __init__(self, input=None)
- value_decode(self, val)
- # end __init__
- value_encode(self, val)
Methods inherited from BaseCookie:
- __repr__(self)
- __setitem__(self, key, value)
- Dictionary style assignment.
- __str__ = output(self, attrs=None, header='Set-Cookie:', sep='\r\n')
- Return a string suitable for HTTP.
- js_output(self, attrs=None)
- Return a string suitable for JavaScript.
- load(self, rawdata)
- Load cookies from a string (presumably HTTP_COOKIE) or
from a dictionary. Loading cookies from a dictionary 'd'
is equivalent to calling:
map(Cookie.__setitem__, d.keys(), d.values())
- output(self, attrs=None, header='Set-Cookie:', sep='\r\n')
- Return a string suitable for HTTP.
Data descriptors inherited from BaseCookie:
- __dict__
- dictionary for instance variables (if defined)
- __weakref__
- list of weak references to the object (if defined)
Methods inherited from __builtin__.dict:
- __cmp__(...)
- x.__cmp__(y) <==> cmp(x,y)
- __contains__(...)
- D.__contains__(k) -> True if D has a key k, else False
- __delitem__(...)
- x.__delitem__(y) <==> del x[y]
- __eq__(...)
- x.__eq__(y) <==> x==y
- __ge__(...)
- x.__ge__(y) <==> x>=y
- __getattribute__(...)
- x.__getattribute__('name') <==> x.name
- __getitem__(...)
- x.__getitem__(y) <==> x[y]
- __gt__(...)
- x.__gt__(y) <==> x>y
- __iter__(...)
- x.__iter__() <==> iter(x)
- __le__(...)
- x.__le__(y) <==> x<=y
- __len__(...)
- x.__len__() <==> len(x)
- __lt__(...)
- x.__lt__(y) <==> x<y
- __ne__(...)
- x.__ne__(y) <==> x!=y
- __sizeof__(...)
- D.__sizeof__() -> size of D in memory, in bytes
- clear(...)
- D.clear() -> None. Remove all items from D.
- copy(...)
- D.copy() -> a shallow copy of D
- fromkeys(...)
- dict.fromkeys(S[,v]) -> New dict with keys from S and values equal to v.
v defaults to None.
- get(...)
- D.get(k[,d]) -> D[k] if k in D, else d. d defaults to None.
- has_key(...)
- D.has_key(k) -> True if D has a key k, else False
- items(...)
- D.items() -> list of D's (key, value) pairs, as 2-tuples
- iteritems(...)
- D.iteritems() -> an iterator over the (key, value) items of D
- iterkeys(...)
- D.iterkeys() -> an iterator over the keys of D
- itervalues(...)
- D.itervalues() -> an iterator over the values of D
- keys(...)
- D.keys() -> list of D's keys
- pop(...)
- D.pop(k[,d]) -> v, remove specified key and return the corresponding value.
If key is not found, d is returned if given, otherwise KeyError is raised
- popitem(...)
- D.popitem() -> (k, v), remove and return some (key, value) pair as a
2-tuple; but raise KeyError if D is empty.
- setdefault(...)
- D.setdefault(k[,d]) -> D.get(k,d), also set D[k]=d if k not in D
- update(...)
- D.update([E, ]**F) -> None. Update D from dict/iterable E and F.
If E present and has a .keys() method, does: for k in E: D[k] = E[k]
If E present and lacks .keys() method, does: for (k, v) in E: D[k] = v
In either case, this is followed by: for k in F: D[k] = F[k]
- values(...)
- D.values() -> list of D's values
- viewitems(...)
- D.viewitems() -> a set-like object providing a view on D's items
- viewkeys(...)
- D.viewkeys() -> a set-like object providing a view on D's keys
- viewvalues(...)
- D.viewvalues() -> an object providing a view on D's values
Data and other attributes inherited from __builtin__.dict:
- __hash__ = None
- __new__ = <built-in method __new__ of type object>
- T.__new__(S, ...) -> a new object with type S, a subtype of T
|
class SerialCookie(BaseCookie) |
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SerialCookie
SerialCookie supports arbitrary objects as cookie values. All
values are serialized (using cPickle) before being sent to the
client. All incoming values are assumed to be valid Pickle
representations. IF AN INCOMING VALUE IS NOT IN A VALID PICKLE
FORMAT, THEN AN EXCEPTION WILL BE RAISED.
Note: Large cookie values add overhead because they must be
retransmitted on every HTTP transaction.
Note: HTTP has a 2k limit on the size of a cookie. This class
does not check for this limit, so be careful!!!
|
| |
- Method resolution order:
- SerialCookie
- BaseCookie
- __builtin__.dict
- __builtin__.object
Methods defined here:
- __init__(self, input=None)
- value_decode(self, val)
- # end __init__
- value_encode(self, val)
Methods inherited from BaseCookie:
- __repr__(self)
- __setitem__(self, key, value)
- Dictionary style assignment.
- __str__ = output(self, attrs=None, header='Set-Cookie:', sep='\r\n')
- Return a string suitable for HTTP.
- js_output(self, attrs=None)
- Return a string suitable for JavaScript.
- load(self, rawdata)
- Load cookies from a string (presumably HTTP_COOKIE) or
from a dictionary. Loading cookies from a dictionary 'd'
is equivalent to calling:
map(Cookie.__setitem__, d.keys(), d.values())
- output(self, attrs=None, header='Set-Cookie:', sep='\r\n')
- Return a string suitable for HTTP.
Data descriptors inherited from BaseCookie:
- __dict__
- dictionary for instance variables (if defined)
- __weakref__
- list of weak references to the object (if defined)
Methods inherited from __builtin__.dict:
- __cmp__(...)
- x.__cmp__(y) <==> cmp(x,y)
- __contains__(...)
- D.__contains__(k) -> True if D has a key k, else False
- __delitem__(...)
- x.__delitem__(y) <==> del x[y]
- __eq__(...)
- x.__eq__(y) <==> x==y
- __ge__(...)
- x.__ge__(y) <==> x>=y
- __getattribute__(...)
- x.__getattribute__('name') <==> x.name
- __getitem__(...)
- x.__getitem__(y) <==> x[y]
- __gt__(...)
- x.__gt__(y) <==> x>y
- __iter__(...)
- x.__iter__() <==> iter(x)
- __le__(...)
- x.__le__(y) <==> x<=y
- __len__(...)
- x.__len__() <==> len(x)
- __lt__(...)
- x.__lt__(y) <==> x<y
- __ne__(...)
- x.__ne__(y) <==> x!=y
- __sizeof__(...)
- D.__sizeof__() -> size of D in memory, in bytes
- clear(...)
- D.clear() -> None. Remove all items from D.
- copy(...)
- D.copy() -> a shallow copy of D
- fromkeys(...)
- dict.fromkeys(S[,v]) -> New dict with keys from S and values equal to v.
v defaults to None.
- get(...)
- D.get(k[,d]) -> D[k] if k in D, else d. d defaults to None.
- has_key(...)
- D.has_key(k) -> True if D has a key k, else False
- items(...)
- D.items() -> list of D's (key, value) pairs, as 2-tuples
- iteritems(...)
- D.iteritems() -> an iterator over the (key, value) items of D
- iterkeys(...)
- D.iterkeys() -> an iterator over the keys of D
- itervalues(...)
- D.itervalues() -> an iterator over the values of D
- keys(...)
- D.keys() -> list of D's keys
- pop(...)
- D.pop(k[,d]) -> v, remove specified key and return the corresponding value.
If key is not found, d is returned if given, otherwise KeyError is raised
- popitem(...)
- D.popitem() -> (k, v), remove and return some (key, value) pair as a
2-tuple; but raise KeyError if D is empty.
- setdefault(...)
- D.setdefault(k[,d]) -> D.get(k,d), also set D[k]=d if k not in D
- update(...)
- D.update([E, ]**F) -> None. Update D from dict/iterable E and F.
If E present and has a .keys() method, does: for k in E: D[k] = E[k]
If E present and lacks .keys() method, does: for (k, v) in E: D[k] = v
In either case, this is followed by: for k in F: D[k] = F[k]
- values(...)
- D.values() -> list of D's values
- viewitems(...)
- D.viewitems() -> a set-like object providing a view on D's items
- viewkeys(...)
- D.viewkeys() -> a set-like object providing a view on D's keys
- viewvalues(...)
- D.viewvalues() -> an object providing a view on D's values
Data and other attributes inherited from __builtin__.dict:
- __hash__ = None
- __new__ = <built-in method __new__ of type object>
- T.__new__(S, ...) -> a new object with type S, a subtype of T
|
class SimpleCookie(BaseCookie) |
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SimpleCookie
SimpleCookie supports strings as cookie values. When setting
the value using the dictionary assignment notation, SimpleCookie
calls the builtin str() to convert the value to a string. Values
received from HTTP are kept as strings.
|
| |
- Method resolution order:
- SimpleCookie
- BaseCookie
- __builtin__.dict
- __builtin__.object
Methods defined here:
- value_decode(self, val)
- value_encode(self, val)
Methods inherited from BaseCookie:
- __init__(self, input=None)
- __repr__(self)
- __setitem__(self, key, value)
- Dictionary style assignment.
- __str__ = output(self, attrs=None, header='Set-Cookie:', sep='\r\n')
- Return a string suitable for HTTP.
- js_output(self, attrs=None)
- Return a string suitable for JavaScript.
- load(self, rawdata)
- Load cookies from a string (presumably HTTP_COOKIE) or
from a dictionary. Loading cookies from a dictionary 'd'
is equivalent to calling:
map(Cookie.__setitem__, d.keys(), d.values())
- output(self, attrs=None, header='Set-Cookie:', sep='\r\n')
- Return a string suitable for HTTP.
Data descriptors inherited from BaseCookie:
- __dict__
- dictionary for instance variables (if defined)
- __weakref__
- list of weak references to the object (if defined)
Methods inherited from __builtin__.dict:
- __cmp__(...)
- x.__cmp__(y) <==> cmp(x,y)
- __contains__(...)
- D.__contains__(k) -> True if D has a key k, else False
- __delitem__(...)
- x.__delitem__(y) <==> del x[y]
- __eq__(...)
- x.__eq__(y) <==> x==y
- __ge__(...)
- x.__ge__(y) <==> x>=y
- __getattribute__(...)
- x.__getattribute__('name') <==> x.name
- __getitem__(...)
- x.__getitem__(y) <==> x[y]
- __gt__(...)
- x.__gt__(y) <==> x>y
- __iter__(...)
- x.__iter__() <==> iter(x)
- __le__(...)
- x.__le__(y) <==> x<=y
- __len__(...)
- x.__len__() <==> len(x)
- __lt__(...)
- x.__lt__(y) <==> x<y
- __ne__(...)
- x.__ne__(y) <==> x!=y
- __sizeof__(...)
- D.__sizeof__() -> size of D in memory, in bytes
- clear(...)
- D.clear() -> None. Remove all items from D.
- copy(...)
- D.copy() -> a shallow copy of D
- fromkeys(...)
- dict.fromkeys(S[,v]) -> New dict with keys from S and values equal to v.
v defaults to None.
- get(...)
- D.get(k[,d]) -> D[k] if k in D, else d. d defaults to None.
- has_key(...)
- D.has_key(k) -> True if D has a key k, else False
- items(...)
- D.items() -> list of D's (key, value) pairs, as 2-tuples
- iteritems(...)
- D.iteritems() -> an iterator over the (key, value) items of D
- iterkeys(...)
- D.iterkeys() -> an iterator over the keys of D
- itervalues(...)
- D.itervalues() -> an iterator over the values of D
- keys(...)
- D.keys() -> list of D's keys
- pop(...)
- D.pop(k[,d]) -> v, remove specified key and return the corresponding value.
If key is not found, d is returned if given, otherwise KeyError is raised
- popitem(...)
- D.popitem() -> (k, v), remove and return some (key, value) pair as a
2-tuple; but raise KeyError if D is empty.
- setdefault(...)
- D.setdefault(k[,d]) -> D.get(k,d), also set D[k]=d if k not in D
- update(...)
- D.update([E, ]**F) -> None. Update D from dict/iterable E and F.
If E present and has a .keys() method, does: for k in E: D[k] = E[k]
If E present and lacks .keys() method, does: for (k, v) in E: D[k] = v
In either case, this is followed by: for k in F: D[k] = F[k]
- values(...)
- D.values() -> list of D's values
- viewitems(...)
- D.viewitems() -> a set-like object providing a view on D's items
- viewkeys(...)
- D.viewkeys() -> a set-like object providing a view on D's keys
- viewvalues(...)
- D.viewvalues() -> an object providing a view on D's values
Data and other attributes inherited from __builtin__.dict:
- __hash__ = None
- __new__ = <built-in method __new__ of type object>
- T.__new__(S, ...) -> a new object with type S, a subtype of T
|
class SmartCookie(BaseCookie) |
| |
SmartCookie
SmartCookie supports arbitrary objects as cookie values. If the
object is a string, then it is quoted. If the object is not a
string, however, then SmartCookie will use cPickle to serialize
the object into a string representation.
Note: Large cookie values add overhead because they must be
retransmitted on every HTTP transaction.
Note: HTTP has a 2k limit on the size of a cookie. This class
does not check for this limit, so be careful!!!
|
| |
- Method resolution order:
- SmartCookie
- BaseCookie
- __builtin__.dict
- __builtin__.object
Methods defined here:
- __init__(self, input=None)
- value_decode(self, val)
- # end __init__
- value_encode(self, val)
Methods inherited from BaseCookie:
- __repr__(self)
- __setitem__(self, key, value)
- Dictionary style assignment.
- __str__ = output(self, attrs=None, header='Set-Cookie:', sep='\r\n')
- Return a string suitable for HTTP.
- js_output(self, attrs=None)
- Return a string suitable for JavaScript.
- load(self, rawdata)
- Load cookies from a string (presumably HTTP_COOKIE) or
from a dictionary. Loading cookies from a dictionary 'd'
is equivalent to calling:
map(Cookie.__setitem__, d.keys(), d.values())
- output(self, attrs=None, header='Set-Cookie:', sep='\r\n')
- Return a string suitable for HTTP.
Data descriptors inherited from BaseCookie:
- __dict__
- dictionary for instance variables (if defined)
- __weakref__
- list of weak references to the object (if defined)
Methods inherited from __builtin__.dict:
- __cmp__(...)
- x.__cmp__(y) <==> cmp(x,y)
- __contains__(...)
- D.__contains__(k) -> True if D has a key k, else False
- __delitem__(...)
- x.__delitem__(y) <==> del x[y]
- __eq__(...)
- x.__eq__(y) <==> x==y
- __ge__(...)
- x.__ge__(y) <==> x>=y
- __getattribute__(...)
- x.__getattribute__('name') <==> x.name
- __getitem__(...)
- x.__getitem__(y) <==> x[y]
- __gt__(...)
- x.__gt__(y) <==> x>y
- __iter__(...)
- x.__iter__() <==> iter(x)
- __le__(...)
- x.__le__(y) <==> x<=y
- __len__(...)
- x.__len__() <==> len(x)
- __lt__(...)
- x.__lt__(y) <==> x<y
- __ne__(...)
- x.__ne__(y) <==> x!=y
- __sizeof__(...)
- D.__sizeof__() -> size of D in memory, in bytes
- clear(...)
- D.clear() -> None. Remove all items from D.
- copy(...)
- D.copy() -> a shallow copy of D
- fromkeys(...)
- dict.fromkeys(S[,v]) -> New dict with keys from S and values equal to v.
v defaults to None.
- get(...)
- D.get(k[,d]) -> D[k] if k in D, else d. d defaults to None.
- has_key(...)
- D.has_key(k) -> True if D has a key k, else False
- items(...)
- D.items() -> list of D's (key, value) pairs, as 2-tuples
- iteritems(...)
- D.iteritems() -> an iterator over the (key, value) items of D
- iterkeys(...)
- D.iterkeys() -> an iterator over the keys of D
- itervalues(...)
- D.itervalues() -> an iterator over the values of D
- keys(...)
- D.keys() -> list of D's keys
- pop(...)
- D.pop(k[,d]) -> v, remove specified key and return the corresponding value.
If key is not found, d is returned if given, otherwise KeyError is raised
- popitem(...)
- D.popitem() -> (k, v), remove and return some (key, value) pair as a
2-tuple; but raise KeyError if D is empty.
- setdefault(...)
- D.setdefault(k[,d]) -> D.get(k,d), also set D[k]=d if k not in D
- update(...)
- D.update([E, ]**F) -> None. Update D from dict/iterable E and F.
If E present and has a .keys() method, does: for k in E: D[k] = E[k]
If E present and lacks .keys() method, does: for (k, v) in E: D[k] = v
In either case, this is followed by: for k in F: D[k] = F[k]
- values(...)
- D.values() -> list of D's values
- viewitems(...)
- D.viewitems() -> a set-like object providing a view on D's items
- viewkeys(...)
- D.viewkeys() -> a set-like object providing a view on D's keys
- viewvalues(...)
- D.viewvalues() -> an object providing a view on D's values
Data and other attributes inherited from __builtin__.dict:
- __hash__ = None
- __new__ = <built-in method __new__ of type object>
- T.__new__(S, ...) -> a new object with type S, a subtype of T
| |