import copy from types import GeneratorType class MergeDict(object): """ A simple class for creating new "virtual" dictionaries that actually look up values in more than one dictionary, passed in the constructor. If a key appears in more than one of the given dictionaries, only the first occurrence will be used. """ def __init__(self, *dicts): self.dicts = dicts def __getitem__(self, key): for dict_ in self.dicts: try: return dict_[key] except KeyError: pass raise KeyError def __copy__(self): return self.__class__(*self.dicts) def get(self, key, default=None): try: return self[key] except KeyError: return default def getlist(self, key): for dict_ in self.dicts: if key in dict_.keys(): return dict_.getlist(key) return [] def iteritems(self): seen = set() for dict_ in self.dicts: for item in dict_.iteritems(): k, v = item if k in seen: continue seen.add(k) yield item def iterkeys(self): for k, v in self.iteritems(): yield k def itervalues(self): for k, v in self.iteritems(): yield v def items(self): return list(self.iteritems()) def keys(self): return list(self.iterkeys()) def values(self): return list(self.itervalues()) def has_key(self, key): for dict_ in self.dicts: if key in dict_: return True return False __contains__ = has_key __iter__ = iterkeys def copy(self): """Returns a copy of this object.""" return self.__copy__() def __str__(self): ''' Returns something like "{'key1': 'val1', 'key2': 'val2', 'key3': 'val3'}" instead of the generic "" inherited from object. ''' return str(dict(self.items())) def __repr__(self): ''' Returns something like MergeDict({'key1': 'val1', 'key2': 'val2'}, {'key3': 'val3'}) instead of generic "" inherited from object. ''' dictreprs = ', '.join(repr(d) for d in self.dicts) return '%s(%s)' % (self.__class__.__name__, dictreprs) class SortedDict(dict): """ A dictionary that keeps its keys in the order in which they're inserted. """ def __new__(cls, *args, **kwargs): instance = super(SortedDict, cls).__new__(cls, *args, **kwargs) instance.keyOrder = [] return instance def __init__(self, data=None): if data is None: data = {} elif isinstance(data, GeneratorType): # Unfortunately we need to be able to read a generator twice. Once # to get the data into self with our super().__init__ call and a # second time to setup keyOrder correctly data = list(data) super(SortedDict, self).__init__(data) if isinstance(data, dict): self.keyOrder = data.keys() else: self.keyOrder = [] seen = set() for key, value in data: if key not in seen: self.keyOrder.append(key) seen.add(key) def __deepcopy__(self, memo): return self.__class__([(key, copy.deepcopy(value, memo)) for key, value in self.iteritems()]) def __copy__(self): # The Python's default copy implementation will alter the state # of self. The reason for this seems complex but is likely related to # subclassing dict. return self.copy() def __setitem__(self, key, value): if key not in self: self.keyOrder.append(key) super(SortedDict, self).__setitem__(key, value) def __delitem__(self, key): super(SortedDict, self).__delitem__(key) self.keyOrder.remove(key) def __iter__(self): return iter(self.keyOrder) def pop(self, k, *args): result = super(SortedDict, self).pop(k, *args) try: self.keyOrder.remove(k) except ValueError: # Key wasn't in the dictionary in the first place. No problem. pass return result def popitem(self): result = super(SortedDict, self).popitem() self.keyOrder.remove(result[0]) return result def items(self): return zip(self.keyOrder, self.values()) def iteritems(self): for key in self.keyOrder: yield key, self[key] def keys(self): return self.keyOrder[:] def iterkeys(self): return iter(self.keyOrder) def values(self): return map(self.__getitem__, self.keyOrder) def itervalues(self): for key in self.keyOrder: yield self[key] def update(self, dict_): for k, v in dict_.iteritems(): self[k] = v def setdefault(self, key, default): if key not in self: self.keyOrder.append(key) return super(SortedDict, self).setdefault(key, default) def value_for_index(self, index): """Returns the value of the item at the given zero-based index.""" return self[self.keyOrder[index]] def insert(self, index, key, value): """Inserts the key, value pair before the item with the given index.""" if key in self.keyOrder: n = self.keyOrder.index(key) del self.keyOrder[n] if n < index: index -= 1 self.keyOrder.insert(index, key) super(SortedDict, self).__setitem__(key, value) def copy(self): """Returns a copy of this object.""" # This way of initializing the copy means it works for subclasses, too. return self.__class__(self) def __repr__(self): """ Replaces the normal dict.__repr__ with a version that returns the keys in their sorted order. """ return '{%s}' % ', '.join(['%r: %r' % (k, v) for k, v in self.items()]) def clear(self): super(SortedDict, self).clear() self.keyOrder = [] class MultiValueDictKeyError(KeyError): pass class MultiValueDict(dict): """ A subclass of dictionary customized to handle multiple values for the same key. >>> d = MultiValueDict({'name': ['Adrian', 'Simon'], 'position': ['Developer']}) >>> d['name'] 'Simon' >>> d.getlist('name') ['Adrian', 'Simon'] >>> d.getlist('doesnotexist') [] >>> d.getlist('doesnotexist', ['Adrian', 'Simon']) ['Adrian', 'Simon'] >>> d.get('lastname', 'nonexistent') 'nonexistent' >>> d.setlist('lastname', ['Holovaty', 'Willison']) This class exists to solve the irritating problem raised by cgi.parse_qs, which returns a list for every key, even though most Web forms submit single name-value pairs. """ def __init__(self, key_to_list_mapping=()): super(MultiValueDict, self).__init__(key_to_list_mapping) def __repr__(self): return "<%s: %s>" % (self.__class__.__name__, super(MultiValueDict, self).__repr__()) def __getitem__(self, key): """ Returns the last data value for this key, or [] if it's an empty list; raises KeyError if not found. """ try: list_ = super(MultiValueDict, self).__getitem__(key) except KeyError: raise MultiValueDictKeyError("Key %r not found in %r" % (key, self)) try: return list_[-1] except IndexError: return [] def __setitem__(self, key, value): super(MultiValueDict, self).__setitem__(key, [value]) def __copy__(self): return self.__class__([ (k, v[:]) for k, v in self.lists() ]) def __deepcopy__(self, memo=None): if memo is None: memo = {} result = self.__class__() memo[id(self)] = result for key, value in dict.items(self): dict.__setitem__(result, copy.deepcopy(key, memo), copy.deepcopy(value, memo)) return result def __getstate__(self): obj_dict = self.__dict__.copy() obj_dict['_data'] = dict([(k, self.getlist(k)) for k in self]) return obj_dict def __setstate__(self, obj_dict): data = obj_dict.pop('_data', {}) for k, v in data.items(): self.setlist(k, v) self.__dict__.update(obj_dict) def get(self, key, default=None): """ Returns the last data value for the passed key. If key doesn't exist or value is an empty list, then default is returned. """ try: val = self[key] except KeyError: return default if val == []: return default return val def getlist(self, key, default=None): """ Returns the list of values for the passed key. If key doesn't exist, then a default value is returned. """ try: return super(MultiValueDict, self).__getitem__(key) except KeyError: if default is None: return [] return default def setlist(self, key, list_): super(MultiValueDict, self).__setitem__(key, list_) def setdefault(self, key, default=None): if key not in self: self[key] = default return default return self[key] def setlistdefault(self, key, default_list=None): if key not in self: if default_list is None: default_list = [] self.setlist(key, default_list) return default_list return self.getlist(key) def appendlist(self, key, value): """Appends an item to the internal list associated with key.""" self.setlistdefault(key).append(value) def items(self): """ Returns a list of (key, value) pairs, where value is the last item in the list associated with the key. """ return [(key, self[key]) for key in self.keys()] def iteritems(self): """ Yields (key, value) pairs, where value is the last item in the list associated with the key. """ for key in self.keys(): yield (key, self[key]) def lists(self): """Returns a list of (key, list) pairs.""" return super(MultiValueDict, self).items() def iterlists(self): """Yields (key, list) pairs.""" return super(MultiValueDict, self).iteritems() def values(self): """Returns a list of the last value on every key list.""" return [self[key] for key in self.keys()] def itervalues(self): """Yield the last value on every key list.""" for key in self.iterkeys(): yield self[key] def copy(self): """Returns a shallow copy of this object.""" return copy.copy(self) def update(self, *args, **kwargs): """ update() extends rather than replaces existing key lists. Also accepts keyword args. """ if len(args) > 1: raise TypeError("update expected at most 1 arguments, got %d" % len(args)) if args: other_dict = args[0] if isinstance(other_dict, MultiValueDict): for key, value_list in other_dict.lists(): self.setlistdefault(key).extend(value_list) else: try: for key, value in other_dict.items(): self.setlistdefault(key).append(value) except TypeError: raise ValueError("MultiValueDict.update() takes either a MultiValueDict or dictionary") for key, value in kwargs.iteritems(): self.setlistdefault(key).append(value) def dict(self): """ Returns current object as a dict with singular values. """ return dict((key, self[key]) for key in self) class DotExpandedDict(dict): """ A special dictionary constructor that takes a dictionary in which the keys may contain dots to specify inner dictionaries. It's confusing, but this example should make sense. >>> d = DotExpandedDict({'person.1.firstname': ['Simon'], \ 'person.1.lastname': ['Willison'], \ 'person.2.firstname': ['Adrian'], \ 'person.2.lastname': ['Holovaty']}) >>> d {'person': {'1': {'lastname': ['Willison'], 'firstname': ['Simon']}, '2': {'lastname': ['Holovaty'], 'firstname': ['Adrian']}}} >>> d['person'] {'1': {'lastname': ['Willison'], 'firstname': ['Simon']}, '2': {'lastname': ['Holovaty'], 'firstname': ['Adrian']}} >>> d['person']['1'] {'lastname': ['Willison'], 'firstname': ['Simon']} # Gotcha: Results are unpredictable if the dots are "uneven": >>> DotExpandedDict({'c.1': 2, 'c.2': 3, 'c': 1}) {'c': 1} """ def __init__(self, key_to_list_mapping): for k, v in key_to_list_mapping.items(): current = self bits = k.split('.') for bit in bits[:-1]: current = current.setdefault(bit, {}) # Now assign value to current position try: current[bits[-1]] = v except TypeError: # Special-case if current isn't a dict. current = {bits[-1]: v} class ImmutableList(tuple): """ A tuple-like object that raises useful errors when it is asked to mutate. Example:: >>> a = ImmutableList(range(5), warning="You cannot mutate this.") >>> a[3] = '4' Traceback (most recent call last): ... AttributeError: You cannot mutate this. """ def __new__(cls, *args, **kwargs): if 'warning' in kwargs: warning = kwargs['warning'] del kwargs['warning'] else: warning = 'ImmutableList object is immutable.' self = tuple.__new__(cls, *args, **kwargs) self.warning = warning return self def complain(self, *wargs, **kwargs): if isinstance(self.warning, Exception): raise self.warning else: raise AttributeError(self.warning) # All list mutation functions complain. __delitem__ = complain __delslice__ = complain __iadd__ = complain __imul__ = complain __setitem__ = complain __setslice__ = complain append = complain extend = complain insert = complain pop = complain remove = complain sort = complain reverse = complain class DictWrapper(dict): """ Wraps accesses to a dictionary so that certain values (those starting with the specified prefix) are passed through a function before being returned. The prefix is removed before looking up the real value. Used by the SQL construction code to ensure that values are correctly quoted before being used. """ def __init__(self, data, func, prefix): super(DictWrapper, self).__init__(data) self.func = func self.prefix = prefix def __getitem__(self, key): """ Retrieves the real value after stripping the prefix string (if present). If the prefix is present, pass the value through self.func before returning, otherwise return the raw value. """ if key.startswith(self.prefix): use_func = True key = key[len(self.prefix):] else: use_func = False value = super(DictWrapper, self).__getitem__(key) if use_func: return self.func(value) return value