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Adding 'eval_type' option for zabbix_action module (#51266)

This commit is contained in:
Ruben Tsirunyan 2019-01-24 17:13:02 +03:00 committed by ansibot
parent 0434868b5d
commit 18ee119a40

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@ -131,6 +131,18 @@ options:
description:
- Arbitrary unique ID that is used to reference the condition from a custom expression.
- Can only contain upper-case letters.
- Required for custom expression filters.
eval_type:
description:
- Filter condition evaluation method.
- Defaults to C(andor) if conditions are less then 2 or if
I(formula) is not specified.
- Defaults to C(custom_expression) when formula is specified.
choices:
- 'andor'
- 'and'
- 'or'
- 'custom_expression'
formula:
description:
- User-defined expression to be used for evaluating conditions of filters with a custom expression.
@ -1215,11 +1227,11 @@ class Filter(object):
self._zapi = zbx
self._zapi_wrapper = zapi_wrapper
def _construct_evaltype(self, _eval, _conditions):
def _construct_evaltype(self, _eval_type, _formula, _conditions):
"""Construct the eval type
Args:
_eval: zabbix condition evaluation formula
_formula: zabbix condition evaluation formula
_conditions: list of conditions to check
Returns:
@ -1230,9 +1242,37 @@ class Filter(object):
'evaltype': '0',
'formula': None
}
if _eval_type == 'andor':
return {
'evaltype': '0',
'formula': None
}
if _eval_type == 'and':
return {
'evaltype': '1',
'formula': None
}
if _eval_type == 'or':
return {
'evaltype': '2',
'formula': None
}
if _eval_type == 'custom_expression':
if _formula is not None:
return {
'evaltype': '3',
'formula': _formula
}
else:
self._module.fail_json(msg="'formula' is required when 'eval_type' is set to 'custom_expression'")
if _formula is not None:
return {
'evaltype': '3',
'formula': _formula
}
return {
'evaltype': '3',
'formula': _eval
'evaltype': '0',
'formula': None
}
def _construct_conditiontype(self, _condition):
@ -1401,7 +1441,7 @@ class Filter(object):
https://www.zabbix.com/documentation/3.4/manual/api/reference/action/object#action_filter_condition""" % (value, conditiontype)
)
def construct_the_data(self, _formula, _conditions):
def construct_the_data(self, _eval_type, _formula, _conditions):
"""Construct the user defined filter conditions to fit the Zabbix API
requirements operations data using helper methods.
@ -1426,6 +1466,7 @@ class Filter(object):
"operator": self._construct_operator(cond)
})
_constructed_evaltype = self._construct_evaltype(
_eval_type,
_formula,
constructed_data['conditions']
)
@ -1573,6 +1614,7 @@ def main():
acknowledge_default_subject=dict(type='str', required=False, default=None),
conditions=dict(type='list', required=False, default=None),
formula=dict(type='str', required=False, default=None),
eval_type=dict(type='str', required=False, default=None, choices=['andor', 'and', 'or', 'custom_expression']),
operations=dict(type='list', required=False, default=None),
recovery_operations=dict(type='list', required=False, default=[]),
acknowledge_operations=dict(type='list', required=False, default=[])
@ -1603,6 +1645,7 @@ def main():
acknowledge_default_subject = module.params['acknowledge_default_subject']
conditions = module.params['conditions']
formula = module.params['formula']
eval_type = module.params['eval_type']
operations = module.params['operations']
recovery_operations = module.params['recovery_operations']
acknowledge_operations = module.params['acknowledge_operations']
@ -1645,7 +1688,7 @@ def main():
operations=ops.construct_the_data(operations),
recovery_operations=recovery_ops.construct_the_data(recovery_operations),
acknowledge_operations=acknowledge_ops.construct_the_data(acknowledge_operations),
conditions=fltr.construct_the_data(formula, conditions)
conditions=fltr.construct_the_data(eval_type, formula, conditions)
)
if difference == {}:
@ -1674,7 +1717,7 @@ def main():
operations=ops.construct_the_data(operations),
recovery_operations=recovery_ops.construct_the_data(recovery_operations),
acknowledge_operations=acknowledge_ops.construct_the_data(acknowledge_operations),
conditions=fltr.construct_the_data(formula, conditions)
conditions=fltr.construct_the_data(eval_type, formula, conditions)
)
module.exit_json(changed=True, msg="Action created: %s, ID: %s" % (name, action_id))