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rule.py
312 lines | 10.5 KiB | text/x-python | PythonLexer
# -*- coding: utf-8 -*-
# Copyright 2010 - 2017 RhodeCode GmbH and the AppEnlight project authors
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import logging
import operator
log = logging.getLogger(__name__)
class RuleException(Exception):
pass
class KeyNotFoundException(RuleException):
pass
class UnknownTypeException(RuleException):
pass
class BadConfigException(RuleException):
pass
class InvalidValueException(RuleException):
pass
class RuleBase(object):
@classmethod
def default_dict_struct_getter(cls, struct, field_name):
"""
returns a key from dictionary based on field_name, if the name contains
`:` then it means additional nesting levels should be checked for the
key so `a:b:c` means return struct['a']['b']['c']
:param struct:
:param field_name:
:return:
"""
parts = field_name.split(":") if field_name else []
found = struct
while parts:
current_key = parts.pop(0)
found = found.get(current_key)
if not found and parts:
raise KeyNotFoundException("Key not found in structure")
return found
@classmethod
def default_obj_struct_getter(cls, struct, field_name):
"""
returns a key from instance based on field_name, if the name contains
`:` then it means additional nesting levels should be checked for the
key so `a:b:c` means return struct.a.b.c
:param struct:
:param field_name:
:return:
"""
parts = field_name.split(":")
found = struct
while parts:
current_key = parts.pop(0)
found = getattr(found, current_key, None)
if not found and parts:
raise KeyNotFoundException("Key not found in structure")
return found
def normalized_type(self, field, value):
"""
Converts text values from self.conf_value based on type_matrix below
check_matrix defines what kind of checks we can perform on a field
value based on field name
"""
f_type = self.type_matrix.get(field)
if f_type:
cast_to = f_type["type"]
else:
raise UnknownTypeException("Unknown type")
if value is None:
return None
try:
if cast_to == "int":
return int(value)
elif cast_to == "float":
return float(value)
elif cast_to == "unicode":
return str(value)
except ValueError as exc:
raise InvalidValueException(exc)
class Rule(RuleBase):
def __init__(
self,
config,
type_matrix,
struct_getter=RuleBase.default_dict_struct_getter,
config_manipulator=None,
):
"""
:param config: dict - contains rule configuration
example::
{
"field": "__OR__",
"rules": [
{
"field": "__AND__",
"rules": [
{
"op": "ge",
"field": "occurences",
"value": "10"
},
{
"op": "ge",
"field": "priority",
"value": "4"
}
]
},
{
"op": "eq",
"field": "http_status",
"value": "500"
}
]
}
:param type_matrix: dict - contains map of type casts
example::
{
'http_status': 'int',
'priority': 'unicode',
}
:param struct_getter: callable - used to grab the value of field from
the structure passed to match() based
on key, default
"""
self.type_matrix = type_matrix
self.config = config
self.struct_getter = struct_getter
self.config_manipulator = config_manipulator
if config_manipulator:
config_manipulator(self)
def subrule_check(self, rule_config, struct):
rule = Rule(
rule_config, self.type_matrix, config_manipulator=self.config_manipulator
)
return rule.match(struct)
def match(self, struct):
"""
Check if rule matched for this specific report
First tries report value, then tests tags in not found, then finally
report group
"""
field_name = self.config.get("field")
test_value = self.config.get("value")
if not field_name:
return False
if field_name == "__AND__":
rule = AND(
self.config["rules"],
self.type_matrix,
config_manipulator=self.config_manipulator,
)
return rule.match(struct)
elif field_name == "__OR__":
rule = OR(
self.config["rules"],
self.type_matrix,
config_manipulator=self.config_manipulator,
)
return rule.match(struct)
elif field_name == "__NOT__":
rule = NOT(
self.config["rules"],
self.type_matrix,
config_manipulator=self.config_manipulator,
)
return rule.match(struct)
if test_value is None:
return False
try:
struct_value = self.normalized_type(
field_name, self.struct_getter(struct, field_name)
)
except (UnknownTypeException, InvalidValueException) as exc:
log.error(str(exc))
return False
try:
test_value = self.normalized_type(field_name, test_value)
except (UnknownTypeException, InvalidValueException) as exc:
log.error(str(exc))
return False
if self.config["op"] not in ("startswith", "endswith", "contains"):
try:
return getattr(operator, self.config["op"])(struct_value, test_value)
except TypeError:
return False
elif self.config["op"] == "startswith":
return struct_value.startswith(test_value)
elif self.config["op"] == "endswith":
return struct_value.endswith(test_value)
elif self.config["op"] == "contains":
return test_value in struct_value
raise BadConfigException(
"Invalid configuration, " "unknown operator: {}".format(self.config)
)
def __repr__(self):
return "<Rule {} {}>".format(self.config.get("field"), self.config.get("value"))
class AND(Rule):
def __init__(self, rules, *args, **kwargs):
super(AND, self).__init__({}, *args, **kwargs)
self.rules = rules
def match(self, struct):
return all([self.subrule_check(r_conf, struct) for r_conf in self.rules])
class NOT(Rule):
def __init__(self, rules, *args, **kwargs):
super(NOT, self).__init__({}, *args, **kwargs)
self.rules = rules
def match(self, struct):
return all([not self.subrule_check(r_conf, struct) for r_conf in self.rules])
class OR(Rule):
def __init__(self, rules, *args, **kwargs):
super(OR, self).__init__({}, *args, **kwargs)
self.rules = rules
def match(self, struct):
return any([self.subrule_check(r_conf, struct) for r_conf in self.rules])
class RuleService(object):
@staticmethod
def rule_from_config(config, field_mappings, labels_dict, manipulator_func=None):
"""
Returns modified rule with manipulator function
By default manipulator function replaces field id from labels_dict
with current field id proper for the rule from fields_mappings
because label X_X id might be pointing different value on next request
when new term is returned from elasticsearch - this ensures things
are kept 1:1 all the time
"""
rev_map = {}
for k, v in labels_dict.items():
rev_map[(v["agg"], v["key"])] = k
if manipulator_func is None:
def label_rewriter_func(rule):
field = rule.config.get("field")
if not field or rule.config["field"] in [
"__OR__",
"__AND__",
"__NOT__",
]:
return
to_map = field_mappings.get(rule.config["field"])
# we need to replace series field with _AE_NOT_FOUND_ to not match
# accidently some other field which happens to have the series that
# was used when the alert was created
if to_map:
to_replace = rev_map.get(
(to_map["agg"], to_map["key"]), "_AE_NOT_FOUND_"
)
else:
to_replace = "_AE_NOT_FOUND_"
rule.config["field"] = to_replace
rule.type_matrix[to_replace] = {"type": "float"}
manipulator_func = label_rewriter_func
return Rule(config, {}, config_manipulator=manipulator_func)