72080f7136
As noted inline, a default export from Grafana includes the uid/id which breaks when you re-import it into a different site. Strip them. Change-Id: I318614b33aed2ece93d44e832bad7907724cb1bc
95 lines
3.1 KiB
Python
95 lines
3.1 KiB
Python
# Copyright 2015 Red Hat, 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, WITHOUT
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# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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# License for the specific language governing permissions and limitations
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# under the License.
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import hashlib
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import io
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import json
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import logging
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import yaml
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from slugify import slugify
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from grafana_dashboards.schema import Schema
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LOG = logging.getLogger(__name__)
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class YamlParser(object):
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def __init__(self):
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self.data = {}
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def get_dashboard(self, slug):
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data = self.data.get('dashboard', {}).get(slug, None)
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md5 = self._generate_md5(data)
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LOG.debug('Dashboard %s: %s' % (slug, md5))
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return data, md5
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def get_datasource(self, slug):
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data = self.data.get('datasource', {}).get(slug, None)
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md5 = self._generate_md5(data)
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LOG.debug('Datasource %s: %s' % (slug, md5))
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return data, md5
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def parse(self, fn):
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with io.open(fn, 'r', encoding='utf-8') as fp:
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self.parse_fp(fp)
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def parse_fp(self, fp):
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data = yaml.safe_load(fp)
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# Since a json file is valid YAML, we just pass through
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# any JSON files
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if fp.name.endswith('.json'):
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slug = slugify(data['title'])
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if not self.data.get('dashboard'):
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self.data['dashboard'] = {}
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# The idea is that people work interactively locally using
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# the GUI editor, then export the .json using the sharing
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# panel. That mostly works, but it can leave a id & uid
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# that isn't valid when importing to another grafana
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# instance. Remove them.
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data.pop('id', None)
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data.pop('uid', None)
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self.data['dashboard'][slug] = data
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else:
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result = self.validate(data)
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for item in result.items():
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group = self.data.get(item[0], {})
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# Create slug to make it easier to find dashboards.
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if item[0] == 'dashboard':
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name = item[1]['title']
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else:
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name = item[1]['name']
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slug = slugify(name)
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if slug in group:
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raise Exception(
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"Duplicate {0} found in '{1}: '{2}' "
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"already defined".format(item[0], fp.name, name))
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group[slug] = item[1]
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self.data[item[0]] = group
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def validate(self, data):
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schema = Schema()
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return schema.validate(data)
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def _generate_md5(self, data):
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md5 = None
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if data:
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# Sort json keys to help our md5 hash are constant.
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content = json.dumps(data, sort_keys=True)
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md5 = hashlib.md5(content.encode('utf-8')).hexdigest()
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return md5
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