summaryrefslogtreecommitdiffstats
path: root/docker/dockerplugin/decorators.py
blob: f83263bd08c6df998068a6d59d86d19fc77fdd4f (plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
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 dockerplugin import discovery as dis
from dockerplugin.exceptions import DockerPluginDeploymentError, \
    DockerPluginDependencyNotReadyError
from dockerplugin 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