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68 lines
1.6 KiB
68 lines
1.6 KiB
#
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# Copyright 2025 Splunk Inc.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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import hashlib
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import json
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def load_schema_file(schema_file):
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"""
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Load schema file.
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"""
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with open(schema_file) as f:
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ret = json.load(f)
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common = ret.get("_common_", dict())
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if common:
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for k, v in list(ret.items()):
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if k == "_common_" or not isinstance(v, dict):
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continue
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# merge common into other values
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for _k, _v in list(common.items()):
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if _k not in v:
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v[_k] = _v
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ret[k] = v
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return ret
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def md5_of_dict(data):
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"""
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MD5 of dict data.
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"""
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md5 = hashlib.sha256()
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if isinstance(data, dict):
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for key in sorted(data.keys()):
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md5.update(repr(key))
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md5.update(md5_of_dict(data[key]))
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elif isinstance(data, list):
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for item in sorted(data):
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md5.update(md5_of_dict(item))
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else:
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md5.update(repr(data))
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return md5.hexdigest()
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class UCCException(Exception):
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"""
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Dispatch engine exception.
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"""
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pass
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