impuls/lib/python3.11/site-packages/jmespath/visitor.py

329 lines
11 KiB
Python

import operator
from jmespath import functions
from jmespath.compat import string_type
from numbers import Number
def _equals(x, y):
if _is_special_number_case(x, y):
return False
else:
return x == y
def _is_special_number_case(x, y):
# We need to special case comparing 0 or 1 to
# True/False. While normally comparing any
# integer other than 0/1 to True/False will always
# return False. However 0/1 have this:
# >>> 0 == True
# False
# >>> 0 == False
# True
# >>> 1 == True
# True
# >>> 1 == False
# False
#
# Also need to consider that:
# >>> 0 in [True, False]
# True
if _is_actual_number(x) and x in (0, 1):
return isinstance(y, bool)
elif _is_actual_number(y) and y in (0, 1):
return isinstance(x, bool)
def _is_comparable(x):
# The spec doesn't officially support string types yet,
# but enough people are relying on this behavior that
# it's been added back. This should eventually become
# part of the official spec.
return _is_actual_number(x) or isinstance(x, string_type)
def _is_actual_number(x):
# We need to handle python's quirkiness with booleans,
# specifically:
#
# >>> isinstance(False, int)
# True
# >>> isinstance(True, int)
# True
if isinstance(x, bool):
return False
return isinstance(x, Number)
class Options(object):
"""Options to control how a JMESPath function is evaluated."""
def __init__(self, dict_cls=None, custom_functions=None):
#: The class to use when creating a dict. The interpreter
# may create dictionaries during the evaluation of a JMESPath
# expression. For example, a multi-select hash will
# create a dictionary. By default we use a dict() type.
# You can set this value to change what dict type is used.
# The most common reason you would change this is if you
# want to set a collections.OrderedDict so that you can
# have predictable key ordering.
self.dict_cls = dict_cls
self.custom_functions = custom_functions
class _Expression(object):
def __init__(self, expression, interpreter):
self.expression = expression
self.interpreter = interpreter
def visit(self, node, *args, **kwargs):
return self.interpreter.visit(node, *args, **kwargs)
class Visitor(object):
def __init__(self):
self._method_cache = {}
def visit(self, node, *args, **kwargs):
node_type = node['type']
method = self._method_cache.get(node_type)
if method is None:
method = getattr(
self, 'visit_%s' % node['type'], self.default_visit)
self._method_cache[node_type] = method
return method(node, *args, **kwargs)
def default_visit(self, node, *args, **kwargs):
raise NotImplementedError("default_visit")
class TreeInterpreter(Visitor):
COMPARATOR_FUNC = {
'eq': _equals,
'ne': lambda x, y: not _equals(x, y),
'lt': operator.lt,
'gt': operator.gt,
'lte': operator.le,
'gte': operator.ge
}
_EQUALITY_OPS = ['eq', 'ne']
MAP_TYPE = dict
def __init__(self, options=None):
super(TreeInterpreter, self).__init__()
self._dict_cls = self.MAP_TYPE
if options is None:
options = Options()
self._options = options
if options.dict_cls is not None:
self._dict_cls = self._options.dict_cls
if options.custom_functions is not None:
self._functions = self._options.custom_functions
else:
self._functions = functions.Functions()
def default_visit(self, node, *args, **kwargs):
raise NotImplementedError(node['type'])
def visit_subexpression(self, node, value):
result = value
for node in node['children']:
result = self.visit(node, result)
return result
def visit_field(self, node, value):
try:
return value.get(node['value'])
except AttributeError:
return None
def visit_comparator(self, node, value):
# Common case: comparator is == or !=
comparator_func = self.COMPARATOR_FUNC[node['value']]
if node['value'] in self._EQUALITY_OPS:
return comparator_func(
self.visit(node['children'][0], value),
self.visit(node['children'][1], value)
)
else:
# Ordering operators are only valid for numbers.
# Evaluating any other type with a comparison operator
# will yield a None value.
left = self.visit(node['children'][0], value)
right = self.visit(node['children'][1], value)
num_types = (int, float)
if not (_is_comparable(left) and
_is_comparable(right)):
return None
return comparator_func(left, right)
def visit_current(self, node, value):
return value
def visit_expref(self, node, value):
return _Expression(node['children'][0], self)
def visit_function_expression(self, node, value):
resolved_args = []
for child in node['children']:
current = self.visit(child, value)
resolved_args.append(current)
return self._functions.call_function(node['value'], resolved_args)
def visit_filter_projection(self, node, value):
base = self.visit(node['children'][0], value)
if not isinstance(base, list):
return None
comparator_node = node['children'][2]
collected = []
for element in base:
if self._is_true(self.visit(comparator_node, element)):
current = self.visit(node['children'][1], element)
if current is not None:
collected.append(current)
return collected
def visit_flatten(self, node, value):
base = self.visit(node['children'][0], value)
if not isinstance(base, list):
# Can't flatten the object if it's not a list.
return None
merged_list = []
for element in base:
if isinstance(element, list):
merged_list.extend(element)
else:
merged_list.append(element)
return merged_list
def visit_identity(self, node, value):
return value
def visit_index(self, node, value):
# Even though we can index strings, we don't
# want to support that.
if not isinstance(value, list):
return None
try:
return value[node['value']]
except IndexError:
return None
def visit_index_expression(self, node, value):
result = value
for node in node['children']:
result = self.visit(node, result)
return result
def visit_slice(self, node, value):
if not isinstance(value, list):
return None
s = slice(*node['children'])
return value[s]
def visit_key_val_pair(self, node, value):
return self.visit(node['children'][0], value)
def visit_literal(self, node, value):
return node['value']
def visit_multi_select_dict(self, node, value):
if value is None:
return None
collected = self._dict_cls()
for child in node['children']:
collected[child['value']] = self.visit(child, value)
return collected
def visit_multi_select_list(self, node, value):
if value is None:
return None
collected = []
for child in node['children']:
collected.append(self.visit(child, value))
return collected
def visit_or_expression(self, node, value):
matched = self.visit(node['children'][0], value)
if self._is_false(matched):
matched = self.visit(node['children'][1], value)
return matched
def visit_and_expression(self, node, value):
matched = self.visit(node['children'][0], value)
if self._is_false(matched):
return matched
return self.visit(node['children'][1], value)
def visit_not_expression(self, node, value):
original_result = self.visit(node['children'][0], value)
if _is_actual_number(original_result) and original_result == 0:
# Special case for 0, !0 should be false, not true.
# 0 is not a special cased integer in jmespath.
return False
return not original_result
def visit_pipe(self, node, value):
result = value
for node in node['children']:
result = self.visit(node, result)
return result
def visit_projection(self, node, value):
base = self.visit(node['children'][0], value)
if not isinstance(base, list):
return None
collected = []
for element in base:
current = self.visit(node['children'][1], element)
if current is not None:
collected.append(current)
return collected
def visit_value_projection(self, node, value):
base = self.visit(node['children'][0], value)
try:
base = base.values()
except AttributeError:
return None
collected = []
for element in base:
current = self.visit(node['children'][1], element)
if current is not None:
collected.append(current)
return collected
def _is_false(self, value):
# This looks weird, but we're explicitly using equality checks
# because the truth/false values are different between
# python and jmespath.
return (value == '' or value == [] or value == {} or value is None or
value is False)
def _is_true(self, value):
return not self._is_false(value)
class GraphvizVisitor(Visitor):
def __init__(self):
super(GraphvizVisitor, self).__init__()
self._lines = []
self._count = 1
def visit(self, node, *args, **kwargs):
self._lines.append('digraph AST {')
current = '%s%s' % (node['type'], self._count)
self._count += 1
self._visit(node, current)
self._lines.append('}')
return '\n'.join(self._lines)
def _visit(self, node, current):
self._lines.append('%s [label="%s(%s)"]' % (
current, node['type'], node.get('value', '')))
for child in node.get('children', []):
child_name = '%s%s' % (child['type'], self._count)
self._count += 1
self._lines.append(' %s -> %s' % (current, child_name))
self._visit(child, child_name)