blob: 74035058350dbfccbaf2adcd9e2c94eb54c6c881 (
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
|
# ============LICENSE_START====================================================
# org.onap.dcae
# =============================================================================
# Copyright (c) 2019-2020 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======================================================
import json
class FetchSchemaError(RuntimeError):
pass
class _Schema:
def __init__(self, path):
self.ret = None
self.path = path
def get(self):
try:
if self.ret is None:
with open(self.path, 'r') as f:
self.ret = json.loads(f.read())
return self.ret
except Exception as e:
raise FetchSchemaError("Unexpected error from fetching schema", e)
schema_schema = _Schema('schemas/schema.json')
component_schema = _Schema('schemas/compspec.json')
dataformat_schema = _Schema('schemas/dataformat.json')
def get_metadata(model_repo_path, model_name):
# for now, assume it's called "metadata.json"
return json.loads(open("{0}/{1}/metadata.json".format(model_repo_path, model_name), "r").read())
|
