本文整理汇总了Python中st2reactor.rules.enforcer.RuleEnforcer.get_action_execution_context方法的典型用法代码示例。如果您正苦于以下问题：Python RuleEnforcer.get_action_execution_context方法的具体用法？Python RuleEnforcer.get_action_execution_context怎么用？Python RuleEnforcer.get_action_execution_context使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类st2reactor.rules.enforcer.RuleEnforcer的用法示例。
在下文中一共展示了RuleEnforcer.get_action_execution_context方法的2个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: evaluate
# 需要导入模块: from st2reactor.rules.enforcer import RuleEnforcer [as 别名]
# 或者: from st2reactor.rules.enforcer.RuleEnforcer import get_action_execution_context [as 别名]
def evaluate(self):
"""
Evaluate trigger instance against the rule.
:return: ``True`` if the rule matches, ``False`` otherwise.
:rtype: ``boolean``
"""
rule_db = self._get_rule_db()
trigger_instance_db, trigger_db = self._get_trigger_instance_db()
# The trigger check needs to be performed here as that is not performed
# by RulesMatcher.
if rule_db.trigger != trigger_db.ref:
LOG.info('rule.trigger "%s" and trigger.ref "%s" do not match.',
rule_db.trigger, trigger_db.ref)
return False
# Check if rule matches criteria.
matcher = RulesMatcher(trigger_instance=trigger_instance_db, trigger=trigger_db,
rules=[rule_db], extra_info=True)
matching_rules = matcher.get_matching_rules()
# Rule does not match so early exit.
if len(matching_rules) < 1:
return False
# Check if rule can be enforced
enforcer = RuleEnforcer(trigger_instance=trigger_instance_db, rule=rule_db)
runner_type_db = mock.Mock()
runner_type_db.runner_parameters = {}
action_db = mock.Mock()
action_db.parameters = {}
params = rule_db.action.parameters # pylint: disable=no-member
context, additional_contexts = enforcer.get_action_execution_context(action_db=action_db,
trace_context=None)
# Note: We only return partially resolved parameters.
# To be able to return all parameters we would need access to corresponding ActionDB,
# RunnerTypeDB and ConfigDB object, but this would add a dependency on the database and the
# tool is meant to be used standalone.
try:
params = enforcer.get_resolved_parameters(action_db=action_db,
runnertype_db=runner_type_db,
params=params,
context=context,
additional_contexts=additional_contexts)
LOG.info('Action parameters resolved to:')
for param in six.iteritems(params):
LOG.info('\t%s: %s', param[0], param[1])
return True
except (UndefinedError, ValueError) as e:
LOG.error('Failed to resolve parameters\n\tOriginal error : %s', six.text_type(e))
return False
except:
LOG.exception('Failed to resolve parameters.')
return False示例2: assertResolvedParamsMatchExpected
# 需要导入模块: from st2reactor.rules.enforcer import RuleEnforcer [as 别名]
# 或者: from st2reactor.rules.enforcer.RuleEnforcer import get_action_execution_context [as 别名]
def assertResolvedParamsMatchExpected(self, rule, trigger_instance, params, expected_params):
runner_type_db = mock.Mock()
runner_type_db.runner_parameters = {}
action_db = mock.Mock()
action_db.parameters = {}
enforcer = RuleEnforcer(trigger_instance, rule)
context, additional_contexts = enforcer.get_action_execution_context(action_db=action_db)
resolved_params = enforcer.get_resolved_parameters(action_db=action_db,
runnertype_db=runner_type_db,
params=params,
context=context,
additional_contexts=additional_contexts)
self.assertEqual(resolved_params, expected_params)