def do_round(value, precision=0, method='common'):
"""Round the number to a given precision. The first
parameter specifies the precision (default is ``0``), the
second the rounding method:
- ``'common'`` rounds either up or down
- ``'ceil'`` always rounds up
- ``'floor'`` always rounds down
If you don't specify a method ``'common'`` is used.
.. sourcecode:: jinja
{{ 42.55|round }}
-> 43
{{ 42.55|round(1, 'floor') }}
-> 42.5
"""
if not method in ('common', 'ceil', 'floor'):
raise FilterArgumentError('method must be common, ceil or floor')
if precision < 0:
raise FilterArgumentError('precision must be a postive integer '
'or zero.')
if method == 'common':
return round(value, precision)
func = getattr(math, method)
if precision:
return func(value * 10 * precision) / (10 * precision)
else:
return func(value)
def map_dict(*args, **kwargs):
"""
Apply a filter on a dictionary.
The equivalent of the map() filter, but for dictionaries.
"""
context = args[0]
seq = args[1]
if len(args) == 2 and 'attribute' in kwargs:
attribute = kwargs.pop('attribute')
if kwargs:
raise FilterArgumentError('Unexpected keyword argument %r' %
next(iter(kwargs)))
func = make_attrgetter(context.environment, attribute)
else:
try:
name = args[2]
args = args[3:]
except LookupError:
raise FilterArgumentError('map requires a filter argument')
func = lambda item: context.environment.call_filter(
name, item, args, kwargs, context=context)
if seq and isinstance(seq, dict):
values = list(seq.values())
keys = list(seq.keys())
for i in range(len(keys)):
seq[keys[i]] = func(values[i])
return seq
def do_round(value, precision=0, method='common'):
if method not in ('common', 'ceil', 'floor'):
raise FilterArgumentError('method must be common, ceil or floor')
if method == 'common':
return round(value, precision)
func = getattr(math, method)
return func(value * 10**precision) / 10**precision
def _select_or_reject(args, kwargs, modfunc, lookup_attr):
context = args[0]
seq = args[1]
if lookup_attr:
try:
attr = args[2]
except LookupError:
raise FilterArgumentError('Missing parameter for attribute name')
transfunc = make_attrgetter(context.environment, attr)
off = 1
else:
off = 0
transfunc = lambda x: x
try:
name = args[2 + off]
args = args[3 + off:]
func = lambda item: context.environment.call_test(
name, item, args, kwargs)
except LookupError:
func = bool
if seq:
for item in seq:
if modfunc(func(transfunc(item))):
yield item
def do_round(value, precision=0, method='common'):
"""Round the number to a given precision. The first
parameter specifies the precision (default is ``0``), the
second the rounding method:
- ``'common'`` rounds either up or down
- ``'ceil'`` always rounds up
- ``'floor'`` always rounds down
If you don't specify a method ``'common'`` is used.
.. sourcecode:: jinja
{{ 42.55|round }}
-> 43.0
{{ 42.55|round(1, 'floor') }}
-> 42.5
Note that even if rounded to 0 precision, a float is returned. If
you need a real integer, pipe it through `int`:
.. sourcecode:: jinja
{{ 42.55|round|int }}
-> 43
"""
if not method in ('common', 'ceil', 'floor'):
raise FilterArgumentError('method must be common, ceil or floor')
if method == 'common':
return round(value, precision)
func = getattr(math, method)
return func(value * (10 ** precision)) / (10 ** precision)
def do_dictsort(value, case_sensitive=False, by='key'):
"""Sort a dict and yield (key, value) pairs. Because python dicts are
unsorted you may want to use this function to order them by either
key or value:
.. sourcecode:: jinja
{% for item in mydict|dictsort %}
sort the dict by key, case insensitive
{% for item in mydict|dictsort(true) %}
sort the dict by key, case sensitive
{% for item in mydict|dictsort(false, 'value') %}
sort the dict by value, case insensitive
"""
if by == 'key':
pos = 0
elif by == 'value':
pos = 1
else:
raise FilterArgumentError('You can only sort by either '
'"key" or "value"')
def sort_func(item):
value = item[pos]
if isinstance(value, string_types) and not case_sensitive:
value = value.lower()
return value
return sorted(value.items(), key=sort_func)
def do_dictsort(value, case_sensitive=False, by="key", reverse=False):
"""Sort a dict and yield (key, value) pairs. Because python dicts are
unsorted you may want to use this function to order them by either
key or value:
.. sourcecode:: jinja
{% for item in mydict|dictsort %}
sort the dict by key, case insensitive
{% for item in mydict|dictsort(reverse=true) %}
sort the dict by key, case insensitive, reverse order
{% for item in mydict|dictsort(true) %}
sort the dict by key, case sensitive
{% for item in mydict|dictsort(false, 'value') %}
sort the dict by value, case insensitive
"""
if by == "key":
pos = 0
elif by == "value":
pos = 1
else:
raise FilterArgumentError('You can only sort by either "key" or "value"')
def sort_func(item):
value = item[pos]
if not case_sensitive:
value = ignore_case(value)
return value
return sorted(value.items(), key=sort_func, reverse=reverse)
def sort_dict(value, case_sensitive=False, by='key', reverse=False, index=0):
"""
字典排序
:param value: 字典对象
:param case_sensitive: 是否大小写敏感
:param by: 排序对象
:param reverse: 排序方式（正序：True、倒序：False）
:param index: 索引号（此处针对 value 为 list 情况下可根据 list 的某一 index 排序）
:return:
"""
if by == 'key':
pos = 0
elif by == 'value':
pos = 1
else:
raise FilterArgumentError(
'You can only sort by either "key" or "value"')
def sort_func(item):
value = item[pos]
if index:
try:
value = value[index]
except:
pass
if isinstance(value, string_types) and not case_sensitive:
value = value.lower()
return value
return sorted(value.items(), key=sort_func, reverse=reverse)
def do_map(*args, **kwargs):
"""Applies a filter on a sequence of objects or looks up an attribute.
This is useful when dealing with lists of objects but you are really
only interested in a certain value of it.
The basic usage is mapping on an attribute. Imagine you have a list
of users but you are only interested in a list of usernames:
.. sourcecode:: jinja
Users on this page: {{ users|map(attribute='username')|join(', ') }}
Alternatively you can let it invoke a filter by passing the name of the
filter and the arguments afterwards. A good example would be applying a
text conversion filter on a sequence:
.. sourcecode:: jinja
Users on this page: {{ titles|map('lower')|join(', ') }}
.. versionadded:: 2.7
"""
context = args[0]
seq = args[1]
if len(args) == 2 and 'attribute' in kwargs:
attribute = kwargs.pop('attribute')
if kwargs:
raise FilterArgumentError('Unexpected keyword argument %r' %
next(iter(kwargs)))
func = make_attrgetter(context.environment, attribute)
else:
try:
name = args[2]
args = args[3:]
except LookupError:
raise FilterArgumentError('map requires a filter argument')
func = lambda item: context.environment.call_filter(
name, item, args, kwargs, context=context)
if seq:
for item in seq:
yield func(item)
def do_sorted(env, iterable, *, attribute=None, item=None, reverse=False):
if attribute is None and item is None:
key = None
elif attribute is not None and item is not None:
raise FilterArgumentError("Only one of attribute and item may be"
"specified")
elif attribute is not None:
key = partial(env.getattr, attribute=attribute)
elif item is not None:
key = partial(env.getitem, argument=item)
return sorted(iterable, key=key, reverse=reverse)
def prepare_map(args, kwargs):
context = args[0]
seq = args[1]
if len(args) == 2 and 'attribute' in kwargs:
attribute = kwargs.pop('attribute')
if kwargs:
raise FilterArgumentError('Unexpected keyword argument %r' %
next(iter(kwargs)))
func = make_attrgetter(context.environment, attribute)
else:
try:
name = args[2]
args = args[3:]
except LookupError:
raise FilterArgumentError('map requires a filter argument')
func = lambda item: context.environment.call_filter(
name, item, args, kwargs, context=context)
return seq, func
def do_reverse(value):
if isinstance(value, basestring):
return value[::-1]
try:
return reversed(value)
except TypeError:
try:
rv = list(value)
rv.reverse()
return rv
except TypeError:
raise FilterArgumentError('argument must be iterable')
def do_format(value, *args, **kwargs):
"""
Apply python string formatting on an object:
.. sourcecode:: jinja
{{ "%s - %s"|format("Hello?", "Foo!") }}
-> Hello? - Foo!
"""
if args and kwargs:
raise FilterArgumentError('can\'t handle positional and keyword '
'arguments at the same time')
return soft_unicode(value) % (kwargs or args)
def do_reverse(value):
"""Reverse the object or return an iterator that iterates over it the other
way round.
"""
if isinstance(value, string_types):
return value[::-1]
try:
return reversed(value)
except TypeError:
try:
rv = list(value)
rv.reverse()
return rv
except TypeError:
raise FilterArgumentError('argument must be iterable')
def do_dictsort(value, case_sensitive=False, by='key'):
if by == 'key':
pos = 0
elif by == 'value':
pos = 1
else:
raise FilterArgumentError(
'You can only sort by either "key" or "value"')
def sort_func(item):
value = item[pos]
if isinstance(value, basestring) and not case_sensitive:
value = value.lower()
return value
return sorted(value.items(), key=sort_func)
def do_format(value, *args, **kwargs):
"""Apply the given values to a `printf-style`_ format string, like
``string % values``.
.. sourcecode:: jinja
{{ "%s, %s!"|format(greeting, name) }}
Hello, World!
In most cases it should be more convenient and efficient to use the
``%`` operator or :meth:`str.format`.
.. code-block:: text
{{ "%s, %s!" % (greeting, name) }}
{{ "{}, {}!".format(greeting, name) }}
.. _printf-style: https://docs.python.org/library/stdtypes.html
#printf-style-string-formatting
"""
if args and kwargs:
raise FilterArgumentError('can\'t handle positional and keyword '
'arguments at the same time')
return soft_unicode(value) % (kwargs or args)
def do_format(value, *args, **kwargs):
if args and kwargs:
raise FilterArgumentError(
"can't handle positional and keyword arguments at the same time")
return soft_unicode(value) % (kwargs or args)
