From 1ed29c111f50e33ac89915ba86b530820da3a689 Mon Sep 17 00:00:00 2001
From: Jack Lucas <jflucas@research.att.com>
Date: Thu, 22 Mar 2018 17:43:01 +0000
Subject: Add DCAE Kubernetes plugin

Change-Id: Ic329f77bb09dcccfd49a34a8f84d387e8da929c6
Issue-ID: DCAEGEN2-410
Signed-off-by: Jack Lucas <jflucas@research.att.com>
---
 k8s/k8splugin/decorators.py | 102 ++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 102 insertions(+)
 create mode 100644 k8s/k8splugin/decorators.py

(limited to 'k8s/k8splugin/decorators.py')

diff --git a/k8s/k8splugin/decorators.py b/k8s/k8splugin/decorators.py
new file mode 100644
index 0000000..186b212
--- /dev/null
+++ b/k8s/k8splugin/decorators.py
@@ -0,0 +1,102 @@
+# ============LICENSE_START=======================================================
+# org.onap.dcae
+# ================================================================================
+# Copyright (c) 2017 AT&T Intellectual Property. 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.
+# ============LICENSE_END=========================================================
+#
+# ECOMP is a trademark and service mark of AT&T Intellectual Property.
+
+import copy
+from cloudify import ctx
+from cloudify.exceptions import NonRecoverableError, RecoverableError
+from dockering import utils as doc
+from k8splugin import discovery as dis
+from k8splugin.exceptions import DockerPluginDeploymentError, \
+    DockerPluginDependencyNotReadyError
+from k8splugin import utils
+
+
+def monkeypatch_loggers(task_func):
+    """Sets up the dependent loggers"""
+
+    def wrapper(**kwargs):
+        # Ouch! Monkeypatch loggers
+        doc.logger = ctx.logger
+        dis.logger = ctx.logger
+
+        return task_func(**kwargs)
+
+    return wrapper
+
+
+def wrap_error_handling_start(task_start_func):
+    """Wrap error handling for the start operations"""
+
+    def wrapper(**kwargs):
+        try:
+            return task_start_func(**kwargs)
+        except DockerPluginDependencyNotReadyError as e:
+            # You are here because things we need like a working docker host is not
+            # available yet so let Cloudify try again later.
+            raise RecoverableError(e)
+        except DockerPluginDeploymentError as e:
+            # Container failed to come up in the allotted time. This is deemed
+            # non-recoverable.
+            raise NonRecoverableError(e)
+        except Exception as e:
+            ctx.logger.error("Unexpected error while starting container: {0}"
+                    .format(str(e)))
+            raise NonRecoverableError(e)
+
+    return wrapper
+
+
+def _wrapper_merge_inputs(task_func, properties, **kwargs):
+    """Merge Cloudify properties with input kwargs before calling task func"""
+    inputs = copy.deepcopy(properties)
+    # Recursively update
+    utils.update_dict(inputs, kwargs)
+
+    # Apparently kwargs contains "ctx" which is cloudify.context.CloudifyContext
+    # This has to be removed and not copied into runtime_properties else you get
+    # JSON serialization errors.
+    if "ctx" in inputs:
+        del inputs["ctx"]
+
+    return task_func(**inputs)
+
+def merge_inputs_for_create(task_create_func):
+    """Merge all inputs for start operation into one dict"""
+
+    # Needed to wrap the wrapper because I was seeing issues with
+    # "RuntimeError: No context set in current execution thread"
+    def wrapper(**kwargs):
+        # NOTE: ctx.node.properties is an ImmutableProperties instance which is
+        # why it is passed into a mutable dict so that it can be deep copied
+        return _wrapper_merge_inputs(task_create_func,
+                dict(ctx.node.properties), **kwargs)
+
+    return wrapper
+
+def merge_inputs_for_start(task_start_func):
+    """Merge all inputs for start operation into one dict"""
+
+    # Needed to wrap the wrapper because I was seeing issues with
+    # "RuntimeError: No context set in current execution thread"
+    def wrapper(**kwargs):
+        return _wrapper_merge_inputs(task_start_func,
+                ctx.instance.runtime_properties, **kwargs)
+
+    return wrapper
-- 
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