def test_string_concat():
# Because we don't have implicit type conversions like JavaScript,
# we diverge from the original JEXL test suite and add a filter.
config = JEXLConfig({'str': str}, default_binary_operators, default_unary_operators)
evaluator = Evaluator(config)
result = evaluator.evaluate(tree('"Hello" + (4+4)|str + "Wo\\"rld"'))
assert result == 'Hello8Wo"rld'
def test_string_concat():
# Because we don't have implicit type conversions like JavaScript,
# we diverge from the original JEXL test suite and add a filter.
config = JEXLConfig({'str': str}, default_binary_operators,
default_unary_operators)
evaluator = Evaluator(config)
result = evaluator.evaluate(tree('"Hello" + (4+4)|str + "Wo\\"rld"'))
assert result == 'Hello8Wo"rld'
def test_transforms():
config = JEXLConfig(
{'half': lambda x: x / 2},
default_binary_operators,
default_unary_operators
)
evaluator = Evaluator(config)
result = evaluator.evaluate(tree('foo|half + 3'), {'foo': 10})
assert result == 8
def test_transforms_multiple_arguments():
config = JEXLConfig(binary_operators=default_binary_operators,
unary_operators=default_unary_operators,
transforms={
'concat':
lambda val, a1, a2, a3: val + ': ' + a1 + a2 + a3,
})
evaluator = Evaluator(config)
result = evaluator.evaluate(tree('"foo"|concat("baz", "bar", "tek")'))
assert result == 'foo: bazbartek'
def test_transforms_multiple_arguments():
config = JEXLConfig(
binary_operators=default_binary_operators,
unary_operators=default_unary_operators,
transforms={
'concat': lambda val, a1, a2, a3: val + ': ' + a1 + a2 + a3,
}
)
evaluator = Evaluator(config)
result = evaluator.evaluate(tree('"foo"|concat("baz", "bar", "tek")'))
assert result == 'foo: bazbartek'
def test_transforms():
config = JEXLConfig({'half': lambda x: x / 2}, default_binary_operators,
default_unary_operators)
evaluator = Evaluator(config)
result = evaluator.evaluate(tree('foo|half + 3'), {'foo': 10})
assert result == 8
def evaluate(self, expression, context=None):
parsed_expression = self.parse(expression)
context = Context(context) if context is not None else self.context
return Evaluator(self.config).evaluate(parsed_expression, context)