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			356 lines
		
	
	
		
			13 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
			
		
		
	
	
			356 lines
		
	
	
		
			13 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
| #!/usr/bin/env python3
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| 
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| # - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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| # Class holds default settings for json requests to Grafana     -
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| # - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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| import sys
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| 
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| if sys.version_info[0] != 3:
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|     print("This script requires Python 3")
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|     exit()
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| 
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| import requests
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| 
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| import json
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| import string
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| import random
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| 
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| class CSVReader:
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|     def __init__(self):
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|         self.shape = None
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| 
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|     def read_csv(self,
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|                  file,
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|                  sep='\t'):
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|         df = open(file).read().split('\n')
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|         rows = list()
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|         for x in df:
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|             if len(x) > 0:
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|                 rows.append(x.split(sep))
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|         length = list(range(0, len(df[0])))
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|         columns = dict(zip(df[0], length))
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|         self.shape = (length, columns)
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|         return rows
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| 
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|     def get_column(self,
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|                    df,
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|                    value):
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|         index = df[0].index(value)
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|         values = []
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|         for row in df[1:]:
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|             values.append(row[index])
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|         return values
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| 
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| class GrafanaRequest:
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|     def __init__(self,
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|                  _grafana_token,
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|                  _grafanajson_host,
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|                  grafanajson_port=3000,
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|                  _folderID=0,
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|                  _headers=dict(),
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|                  _overwrite='false',
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|                  debug_=False,
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|                  die_on_error_=False):
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|         self.debug = debug_
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|         self.die_on_error = die_on_error_
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|         self.headers = _headers
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|         self.headers['Authorization'] = 'Bearer ' + _grafana_token
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|         self.headers['Content-Type'] = 'application/json'
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|         self.grafanajson_host = _grafanajson_host
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|         self.grafanajson_port = grafanajson_port
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|         self.grafanajson_token = _grafana_token
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|         self.grafanajson_url = "http://%s:%s" % (_grafanajson_host, grafanajson_port)
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|         self.data = dict()
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|         self.data['overwrite'] = _overwrite
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|         self.csvreader = CSVReader()
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| 
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|     def create_bucket(self,
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|                       bucket_name=None):
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|         # Create a bucket in Grafana
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|         if bucket_name is not None:
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|             pass
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| 
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|     def list_dashboards(self):
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|         url = self.grafanajson_url + '/api/search'
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|         print(url)
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|         return json.loads(requests.get(url, headers=self.headers).text)
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| 
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|     def create_dashboard(self,
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|                          dashboard_name=None,
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|                          ):
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|         grafanajson_url = self.grafanajson_url + "/api/dashboards/db"
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|         datastore = dict()
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|         dashboard = dict()
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|         dashboard['id'] = None
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|         dashboard['title'] = dashboard_name
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|         dashboard['tags'] = ['templated']
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|         dashboard['timezone'] = 'browser'
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|         dashboard['schemaVersion'] = 27
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|         dashboard['version'] = 4
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|         datastore['dashboard'] = dashboard
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|         datastore['overwrite'] = False
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|         data = json.dumps(datastore, indent=4)
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|         return requests.post(grafanajson_url, headers=self.headers, data=data, verify=False)
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| 
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|     def delete_dashboard(self,
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|                          dashboard_uid=None):
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|         grafanajson_url = self.grafanajson_url + "/api/dashboards/uid/" + dashboard_uid
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|         return requests.post(grafanajson_url, headers=self.headers, verify=False)
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| 
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|     def create_dashboard_from_data(self,
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|                                    json_file=None):
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|         grafanajson_url = self.grafanajson_url + '/api/dashboards/db'
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|         datastore = dict()
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|         dashboard = dict(json.loads(open(json_file).read()))
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|         datastore['dashboard'] = dashboard
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|         datastore['overwrite'] = False
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|         data = json.dumps(datastore, indent=4)
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|         return requests.post(grafanajson_url, headers=self.headers, data=data, verify=False)
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| 
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|     def create_dashboard_from_dict(self,
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|                                    dictionary=None,
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|                                    overwrite=False):
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|         grafanajson_url = self.grafanajson_url + '/api/dashboards/db'
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|         datastore = dict()
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|         dashboard = dict(json.loads(dictionary))
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|         datastore['dashboard'] = dashboard
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|         datastore['overwrite'] = overwrite
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|         data = json.dumps(datastore, indent=4)
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|         return requests.post(grafanajson_url, headers=self.headers, data=data, verify=False)
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| 
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|     def get_graph_groups(self, target_csvs):  # Get the unique values in the Graph-Group column
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|         dictionary = dict()
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|         for target_csv in target_csvs:
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|             if len(target_csv) > 1:
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|                 csv = self.csvreader.read_csv(target_csv)
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|                 # Unique values in the test-id column
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|                 scripts = list(set(self.csvreader.get_column(csv, 'test-id')))
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|                 # we need to make sure we match each Graph Group to the script it occurs in
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|                 for script in scripts:
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|                     # Unique Graph Groups for each script
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|                     dictionary[script] = list(set(self.csvreader.get_column(csv, 'Graph-Group')))
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|         print(dictionary)
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|         return dictionary
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| 
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|     def create_custom_dashboard(self,
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|                                 scripts=None,
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|                                 title=None,
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|                                 bucket=None,
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|                                 graph_groups=None,
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|                                 graph_groups_file=None,
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|                                 target_csvs=None,
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|                                 testbed=None,
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|                                 datasource='InfluxDB',
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|                                 from_date='now-1y',
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|                                 to_date='now',
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|                                 graph_height=8,
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|                                 graph__width=12):
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|         options = string.ascii_lowercase + string.ascii_uppercase + string.digits
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|         uid = ''.join(random.choice(options) for i in range(9))
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|         input1 = dict()
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|         annotations = dict()
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|         annotations['builtIn'] = 1
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|         annotations['datasource'] = '-- Grafana --'
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|         annotations['enable'] = True
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|         annotations['hide'] = True
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|         annotations['iconColor'] = 'rgba(0, 211, 255, 1)'
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|         annotations['name'] = 'Annotations & Alerts'
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|         annotations['type'] = 'dashboard'
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|         annot = dict()
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|         annot['list'] = list()
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|         annot['list'].append(annotations)
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| 
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|         templating = dict()
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|         templating['list'] = list()
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| 
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|         timedict = dict()
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|         timedict['from'] = from_date
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|         timedict['to'] = to_date
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| 
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|         panels = list()
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|         index = 1
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|         if graph_groups_file:
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|             print("graph_groups_file: %s" % graph_groups_file)
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|             target_csvs = open(graph_groups_file).read().split('\n')
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|             graph_groups = self.get_graph_groups(
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|                 target_csvs)  # Get the list of graph groups which are in the tests we ran
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|             unit_dict = dict()
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|             for csv in target_csvs:
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|                 if len(csv) > 1:
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|                     print(csv)
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|                     unit_dict.update(self.get_units(csv))
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|         if target_csvs:
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|             print('Target CSVs: %s' % target_csvs)
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|             graph_groups = self.get_graph_groups(
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|                 target_csvs)  # Get the list of graph groups which are in the tests we ran
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|             unit_dict = dict()
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|             for csv in target_csvs:
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|                 if len(csv) > 1:
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|                     print(csv)
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|                     unit_dict.update(self.get_units(csv))
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|         for scriptname in graph_groups.keys():
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|             for graph_group in graph_groups[scriptname]:
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|                 panel = dict()
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| 
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|                 gridpos = dict()
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|                 gridpos['h'] = graph_height
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|                 gridpos['w'] = graph__width
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|                 gridpos['x'] = 0
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|                 gridpos['y'] = 0
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| 
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|                 legend = dict()
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|                 legend['avg'] = False
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|                 legend['current'] = False
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|                 legend['max'] = False
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|                 legend['min'] = False
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|                 legend['show'] = True
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|                 legend['total'] = False
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|                 legend['values'] = False
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| 
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|                 options = dict()
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|                 options['alertThreshold'] = True
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| 
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|                 #groupBy = list()
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|                 #groupBy.append(self.groupby('$__interval', 'time'))
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|                 #groupBy.append(self.groupby('null', 'fill'))
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| 
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|                 #targets = list()
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|                 #counter = 0
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|                 #new_target = self.maketargets(bucket, scriptname, groupBy, counter, graph_group, testbed)
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|                 #targets.append(new_target)
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| 
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|                 fieldConfig = dict()
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|                 fieldConfig['defaults'] = dict()
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|                 fieldConfig['overrides'] = list()
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| 
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|                 transformation = dict()
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|                 transformation['id'] = "renameByRegex"
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|                 transformation_options = dict()
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|                 transformation_options['regex'] = "(.*) value.*"
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|                 transformation_options['renamePattern'] = "$1"
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|                 transformation['options'] = transformation_options
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| 
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|                 xaxis = dict()
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|                 xaxis['buckets'] = None
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|                 xaxis['mode'] = "time"
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|                 xaxis['name'] = None
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|                 xaxis['show'] = True
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|                 xaxis['values'] = list()
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| 
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|                 yaxis = dict()
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|                 yaxis['format'] = 'short'
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|                 #yaxis['label'] = unit_dict[graph_group]
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|                 yaxis['logBase'] = 1
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|                 yaxis['max'] = None
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|                 yaxis['min'] = None
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|                 yaxis['show'] = True
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| 
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|                 yaxis1 = dict()
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|                 yaxis1['align'] = False
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|                 yaxis1['alignLevel'] = None
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| 
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|                 panel['aliasColors'] = dict()
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|                 panel['bars'] = False
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|                 panel['dashes'] = False
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|                 panel['dashLength'] = 10
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|                 panel['datasource'] = datasource
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|                 panel['fieldConfig'] = fieldConfig
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|                 panel['fill'] = 0
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|                 panel['fillGradient'] = 0
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|                 panel['gridPos'] = gridpos
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|                 panel['hiddenSeries'] = False
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|                 panel['id'] = index
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|                 panel['legend'] = legend
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|                 panel['lines'] = True
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|                 panel['linewidth'] = 1
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|                 panel['nullPointMode'] = 'null'
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|                 panel['options'] = options
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|                 panel['percentage'] = False
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|                 panel['pluginVersion'] = '7.5.4'
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|                 panel['pointradius'] = 2
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|                 panel['points'] = True
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|                 panel['renderer'] = 'flot'
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|                 panel['seriesOverrides'] = list()
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|                 panel['spaceLength'] = 10
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|                 panel['stack'] = False
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|                 panel['steppedLine'] = False
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|                 #panel['targets'] = targets
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|                 panel['thresholds'] = list()
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|                 panel['timeFrom'] = None
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|                 panel['timeRegions'] = list()
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|                 panel['timeShift'] = None
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|                 if graph_group is not None:
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|                     panel['title'] = scriptname + ' ' + graph_group
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|                 else:
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|                     panel['title'] = scriptname
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|                 panel['transformations'] = list()
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|                 panel['transformations'].append(transformation)
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|                 panel['type'] = "graph"
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|                 panel['xaxis'] = xaxis
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|                 panel['yaxes'] = list()
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|                 panel['yaxes'].append(yaxis)
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|                 panel['yaxes'].append(yaxis)
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|                 panel['yaxis'] = yaxis1
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| 
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|                 panels.append(panel)
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|                 index = index + 1
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|         input1['annotations'] = annot
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|         input1['editable'] = True
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|         input1['gnetId'] = None
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|         input1['graphTooltip'] = 0
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|         input1['links'] = list()
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|         input1['panels'] = panels
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|         input1['refresh'] = False
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|         input1['schemaVersion'] = 27
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|         input1['style'] = 'dark'
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|         input1['tags'] = list()
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|         input1['templating'] = templating
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|         input1['time'] = timedict
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|         input1['timepicker'] = dict()
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|         input1['timezone'] = ''
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|         input1['title'] = ("Testbed: %s" % title)
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|         input1['uid'] = uid
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|         input1['version'] = 11
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|         return self.create_dashboard_from_dict(dictionary=json.dumps(input1))
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| 
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|     #    def create_custom_dashboard(self,
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|     #                               datastore=None):
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|     #      data = json.dumps(datastore, indent=4)
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|     #     return requests.post(self.grafanajson_url, headers=self.headers, data=data, verify=False)
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| 
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|     def create_snapshot(self, title):
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|         print('create snapshot')
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|         grafanajson_url = self.grafanajson_url + '/api/snapshots'
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|         data = self.get_dashboard(title)
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|         data['expires'] = 3600
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|         data['external'] = False
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|         data['timeout'] = 15
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|         print(data)
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|         return requests.post(grafanajson_url, headers=self.headers, json=data, verify=False).text
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| 
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|     def list_snapshots(self):
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|         grafanajson_url = self.grafanajson_url + '/api/dashboard/snapshots'
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|         print(grafanajson_url)
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|         return json.loads(requests.get(grafanajson_url, headers=self.headers, verify=False).text)
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| 
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|     def get_dashboard(self, target):
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|         dashboards = self.list_dashboards()
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|         print(target)
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|         for dashboard in dashboards:
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|             if dashboard['title'] == target:
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|                 uid = dashboard['uid']
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|         grafanajson_url = self.grafanajson_url + '/api/dashboards/uid/' + uid
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|         print(grafanajson_url)
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|         return json.loads(requests.get(grafanajson_url, headers=self.headers, verify=False).text)
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| 
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|     def get_units(self, csv):
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|         df = self.csvreader.read_csv(csv)
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|         units = self.csvreader.get_column(df, 'Units')
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|         test_id = self.csvreader.get_column(df, 'test-id')
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|         maxunit = max(set(units), key = units.count)
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|         maxtest = max(set(test_id), key = test_id.count)
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|         d = dict()
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|         d[maxunit] = maxtest
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|         print(maxunit, maxtest)
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|         return d
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