diff options
Diffstat (limited to 'examples/examples-adaptive/src/main/resources/org/onap/policy/apex/examples/adaptive/model/mvel/AutoLearnDecideTask3TaskLogic.mvel')
-rw-r--r-- | examples/examples-adaptive/src/main/resources/org/onap/policy/apex/examples/adaptive/model/mvel/AutoLearnDecideTask3TaskLogic.mvel | 40 |
1 files changed, 40 insertions, 0 deletions
diff --git a/examples/examples-adaptive/src/main/resources/org/onap/policy/apex/examples/adaptive/model/mvel/AutoLearnDecideTask3TaskLogic.mvel b/examples/examples-adaptive/src/main/resources/org/onap/policy/apex/examples/adaptive/model/mvel/AutoLearnDecideTask3TaskLogic.mvel new file mode 100644 index 000000000..7fbc8c765 --- /dev/null +++ b/examples/examples-adaptive/src/main/resources/org/onap/policy/apex/examples/adaptive/model/mvel/AutoLearnDecideTask3TaskLogic.mvel @@ -0,0 +1,40 @@ +/* + * ============LICENSE_START======================================================= + * Copyright (C) 2016-2018 Ericsson. All rights reserved. + * ================================================================================ + * 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. + * + * SPDX-License-Identifier: Apache-2.0 + * ============LICENSE_END========================================================= + */ +logger.debug("AutoLearnDecideTask3: inFields:" + inFields); +java.util.Random rand = new java.util.Random(System.currentTimeMillis()); +double MIN = -100.0; +double MAX = 100.0; +double WANT = 50.0; + +double inval = (Double)(inFields["MonitoredValue"]); +double ret = inval; +/////////////// +double diff = rand.nextGaussian()*((MAX - WANT) / 50.0); +/////////////// +ret = inval + diff; +if (ret > MAX) + ret = MAX; +if (ret<MIN) + ret = MIN; + +outFields["MonitoredValue"] = ret; +outFields["LastMonitoredValue"] = inval; +logger.debug("AutoLearnDecideTask3: outFields:" + outFields); +return true; |