initial commit

OPMAAS-3253
rforstner 2022-07-25 13:42:53 +02:00
commit 5e914ed992
3 changed files with 533 additions and 0 deletions

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import yaml
from decouple import config
import json
def load_slo_parameter(path):
# the first part is to read a yaml and only select latest, valid config
with open(path) as file:
slo_doc = yaml.safe_load(file)
return slo_doc
def get_bounds (grid_row, grid_column, tile_columnwidth, tile_rowheight):
grid_brick = 38
grid_top = 0 if grid_row == 0 else grid_row * grid_brick
grod_left = 0 if grid_column == 0 else grid_column * grid_brick
grod_width = 0 if tile_columnwidth == 0 else tile_columnwidth * grid_brick
grod_height = 0 if tile_rowheight == 0 else tile_rowheight * grid_brick
bounds = { "top": grid_top, "left": grod_left, "width": grod_width, "height": grod_height }
return bounds
def get_dataExplorerTileSloThreshold(sloThresholdValuesAndColor):
value1 = int(str(sloThresholdValuesAndColor).split("|")[0].split("_")[0])
value2 = int(str(sloThresholdValuesAndColor).split("|")[1].split("_")[0])
value3 = int(str(sloThresholdValuesAndColor).split("|")[2].split("_")[0])
color1 = str(sloThresholdValuesAndColor).split("|")[0].split("_")[1]
color2 = str(sloThresholdValuesAndColor).split("|")[1].split("_")[1]
color3 = str(sloThresholdValuesAndColor).split("|")[2].split("_")[1]
dataExplorerTileThreshold = [ { "value": value1, "color": color1 }, { "value": value2, "color": color2 }, { "value": value3, "color": color3 } ]
return dataExplorerTileThreshold
def get_DataExplorerTile_Markdown(name_short, department, bounds, detailDashboardUrl_EMEA,detailDashboardUrl_NA, detailDashboardUrl_CN, docURL ):
# dataExplorerTile_Markdown = {
# "name": "Markdown",
# "tileType": "MARKDOWN",
# "configured": "true",
# "bounds": bounds,
# "tileFilter": {},
# "markdown": "___________\n## " + name_short + "\n\n" + department + " | --> [EMEA](" + detailDashboardUrl_EMEA + ") [NA](" + detailDashboardUrl_NA + ") [CN](" + detailDashboardUrl_CN + ")\n [Documentation](" + docURL + ")"
# }
#without team links
dataExplorerTile_Markdown = {
"name": "Markdown",
"tileType": "MARKDOWN",
"configured": "true",
"bounds": bounds,
"tileFilter": {},
"markdown": "___________\n## " + name_short + "\n\n" + department + " \n [Documentation](" + docURL + ")"
}
return dataExplorerTile_Markdown
def get_DataExplorerTile_SingleValue(customName, metricSelector, remoteEnvironmentUrl, bounds, timeframe, graphThreshold):
dataExplorerTile_SingleValue = {
"name": "",
"tileType": "DATA_EXPLORER",
"configured": "true",
"bounds": bounds,
"tileFilter": { "timeframe": timeframe },
"remoteEnvironmentUri": remoteEnvironmentUrl,
"customName": customName,
"queries": [
{
"id": "A",
"timeAggregation": "DEFAULT",
"metricSelector": metricSelector,
"foldTransformation": "TOTAL",
"enabled": "true"
}
],
"visualConfig": {
"type": "SINGLE_VALUE", "global": { "seriesType": "LINE", "hideLegend": "true" },
"rules": [ { "matcher": "A:", "properties": { "color": "DEFAULT", "seriesType": "LINE", "alias": "SLO" }, "seriesOverrides": [{"name": customName, "color": "#ffffff"}] } ],
"axes": { "xAxis": { "visible": "true" }, "yAxes": [] },
"heatmapSettings": {},
"singleValueSettings": { "showTrend": "false", "showSparkLine": "false", "linkTileColorToThreshold": "true" },
"thresholds": [ { "axisTarget": "LEFT", "rules": graphThreshold, "queryId": "", "visible": "true" } ],
"tableSettings": { "isThresholdBackgroundAppliedToCell": "false" },
"graphChartSettings": { "connectNulls": "false" } },
"queriesSettings": { "resolution": "" }
}
return dataExplorerTile_SingleValue
def get_DataExplorerTile_Graph(customName, metricSelector, remoteEnvironmentUrl, bounds, timeframe, axisTargetMin, axisTargetMax, graphThreshold ):
dataExplorerTile_Graph = {
"name": "",
"tileType": "DATA_EXPLORER",
"configured": "true",
"bounds": bounds,
"tileFilter": { "timeframe": timeframe },
"remoteEnvironmentUri": remoteEnvironmentUrl,
"customName": customName,
"queries": [
{
"id": "A",
"timeAggregation": "DEFAULT",
"metricSelector": metricSelector,
"foldTransformation": "TOTAL",
"enabled": "true"
}
],
"visualConfig": {
"type": "GRAPH_CHART", "global": { "seriesType": "LINE", "hideLegend": "true" },
"rules": [ { "matcher": "A:", "properties": { "color": "DEFAULT", "seriesType": "LINE", "alias": "SLO" }, "seriesOverrides": [{"name": customName, "color": "#ffffff"}] } ],
"axes": { "xAxis": { "visible": "true" }, "yAxes": [{ "displayName": "", "visible": "true", "min": axisTargetMin, "max": axisTargetMax, "position": "LEFT", "queryIds": [ "A" ], "defaultAxis": "true" }] },
"heatmapSettings": {},
"singleValueSettings": { "showTrend": "false", "showSparkLine": "false", "linkTileColorToThreshold": "true" },
"thresholds": [ { "axisTarget": "LEFT", "rules": graphThreshold, "queryId": "", "visible": "true" } ],
"tableSettings": { "isThresholdBackgroundAppliedToCell": "false" },
"graphChartSettings": { "connectNulls": "false" } },
"queriesSettings": { "resolution": "" }
}
return dataExplorerTile_Graph
def create_default_tiles():
newDashboardTiles = []
# HEADER TILES
# Picture Tile
newDashboardTiles.append(
{
"name": "Image", "tileType": "IMAGE", "configured": "true", "bounds": {"top": 0, "left": 0, "width": 76, "height": 114}, "tileFilter": {},
"image": "data:image/webp;base64,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"
}
)
# EMEA HUB
newDashboardTiles.append({ "name": "Header" ,"tileType": "MARKDOWN" , "configured": "true" , "bounds": get_bounds(0 , 7 , 20 , 2), "tileFilter": {}, "markdown": "# EMEA" })
newDashboardTiles.append({ "name": "ACTUAL" ,"tileType": "HEADER" , "configured": "true" , "bounds": get_bounds(2 , 7 , 4 , 1), "tileFilter": {} })
newDashboardTiles.append({ "name": "10 DAYS" ,"tileType": "HEADER" , "configured": "true" , "bounds": get_bounds(2 , 11 , 12 , 1), "tileFilter": {} })
newDashboardTiles.append({ "name": "YTD" ,"tileType": "HEADER" , "configured": "true" , "bounds": get_bounds(2 , 23 , 4 , 1), "tileFilter": {} })
# NORTH AMERICA HUB
newDashboardTiles.append({ "name": "Header" ,"tileType": "MARKDOWN" , "configured": "true" , "bounds": get_bounds(0 , 27 , 20 , 2), "tileFilter": {}, "markdown": "# NORTH AMERICA" })
newDashboardTiles.append({ "name": "ACTUAL" ,"tileType": "HEADER" , "configured": "true" , "bounds": get_bounds(2 , 27 , 4 , 1), "tileFilter": {} })
newDashboardTiles.append({ "name": "10 DAYS" ,"tileType": "HEADER" , "configured": "true" , "bounds": get_bounds(2 , 31 , 12 , 1), "tileFilter": {} })
newDashboardTiles.append({ "name": "YTD" ,"tileType": "HEADER" , "configured": "true" , "bounds": get_bounds(2 , 43 , 4 , 1), "tileFilter": {} })
# CHINA HUB
newDashboardTiles.append({ "name": "Header" ,"tileType": "MARKDOWN" , "configured": "true" , "bounds": get_bounds(0 , 47 , 20 , 2), "tileFilter": {}, "markdown": "# CHINA" })
newDashboardTiles.append({ "name": "ACTUAL" ,"tileType": "HEADER" , "configured": "true" , "bounds": get_bounds(2 , 47 , 4 , 1), "tileFilter": {} })
newDashboardTiles.append({ "name": "10 DAYS" ,"tileType": "HEADER" , "configured": "true" , "bounds": get_bounds(2 , 51 , 12 , 1), "tileFilter": {} })
newDashboardTiles.append({ "name": "YTD" ,"tileType": "HEADER" , "configured": "true" , "bounds": get_bounds(2 , 63 , 4 , 1), "tileFilter": {} })
return newDashboardTiles
def main(slo_path):
slo_doc = load_slo_parameter(slo_path)
dashboard_json = create_default_tiles()
hub_config = {
"euprod":
{
"offset": 0,
"remote_url": 'https://xxu26128.live.dynatrace.com'
},
"naprod":
{
"offset": 20,
"remote_url": 'https://wgv50241.live.dynatrace.com'
},
"cnprod":
{
"offset": 40,
"remote_url": 'https://dynatrace-cn-int.bmwgroup.com:443/e/b921f1b9-c00e-4031-b9d1-f5a0d530757b'
}
}
timeframe_actual = "-1h"
timeframe_graph = "-10d to now"
for slo_name, config in slo_doc.items():
slo_index = config["index"]
slo_display = config["displayname"]
slo_department = config["department"]
timeframe_ytd = config["yearstart"] + " 00:00 to now"
slo_graphThreshold_SingleValue = get_dataExplorerTileSloThreshold(config["thresholds"]["single_value"])
slo_graphThreshold_Graph = get_dataExplorerTileSloThreshold(config["thresholds"]["graph_value"])
if len(config["hubs"]) > 0:
dashboard_json.append(get_DataExplorerTile_Markdown(slo_display, slo_department, get_bounds(((slo_index)*(3)) , 0 , 7 , 3), config["ops_dashboard"]["emea"], config["ops_dashboard"]["na"], config["ops_dashboard"]["cn"],config["doc_url"]))
for hub,tiles in config["hubs"].items():
if 'actual' in tiles["tiles"]:
dashboard_json.append(get_DataExplorerTile_SingleValue(slo_name, config["metric"], hub_config[hub]["remote_url"], get_bounds(((slo_index)*(3)) , 7 + hub_config[hub]["offset"] , 4 , 3), timeframe_actual, slo_graphThreshold_SingleValue))
if "graph" in tiles["tiles"]:
dashboard_json.append(get_DataExplorerTile_Graph(slo_name, config["metric"], hub_config[hub]["remote_url"], get_bounds(((slo_index)*(3)) , 11 + hub_config[hub]["offset"] , 12 , 3), timeframe_graph, "97", "102", slo_graphThreshold_Graph))
if "ytd" in tiles["tiles"]:
dashboard_json.append(get_DataExplorerTile_SingleValue(slo_name, config["metric"], hub_config[hub]["remote_url"], get_bounds(((slo_index)*(3)) , 23 + hub_config[hub]["offset"] , 4 , 3), timeframe_ytd, slo_graphThreshold_SingleValue))
with open("dashboard_tiles.json", "w") as file:
json.dump(dashboard_json, file, indent=2)
if __name__ == "__main__":
main('./slo_parameter.yaml')

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# Global Dashboard as Code
This repository holds the code to generate the Dynatrace Global Dashboard as Code.
The Global Dashboard splits in 2 different dashboards:
- STAGING
- PROD
While the PROD dashboard is adapted manually, the Staging dashboard is auto updated when this script runs.
# Files
## slo_parameter.yaml
This file specifies which SLO should be presented on the dashboard with the required metadata.
Example definition:
TP_Mobile_Login:
index: 1
selector_type: "text"
selector_var: 'CoCo-QM-Report_Mobile'
yearstart: "2022-01-01"
displayname: "Login"
department: "DE-442"
metric: "func:slo.tp_mobile_login"
doc_url: "https://atc.bmwgroup.net/confluence/x/R1OqdQ"
ops_dashboard:
emea: "https"
na: ""
cn: ""
hubs:
euprod:
tiles: ["actual","graph","ytd"]
naprod:
tiles: ["actual","graph","ytd"]
cnprod:
tiles: ["actual","graph","ytd"]
thresholds:
single_value: "99_#577025|98_#f5d30f|0_#ff0000"
graph_value: "99_#353535|98_#f5d30f|0_#ff0000"
Defintion Description:
SLO_Name:
index: int #Ordering of the given SLO within the dashboard
selector_type: str #Query Parameter for Dynatrace
selector_var: str #Query String for Dynatrace
yearstart: date #Date in "2022-01-01" format, to specify year-to-date start date
displayname: str #Display name of the SLO to be displayed on the dashboard
department: str #Department, responsible for this SLO
metric: str #Dynatrace metric selector
doc_url: str #URL of the SLO documentation within Confluence
ops_dashboard: #URLs of sub-dashboards per hub
emea: "https"
na: ""
cn: ""
hubs: #defines on which hub this SLO is active
euprod:
tiles: array #tiles which should be displayed for a specific hub
naprod:
tiles:
cnprod:
tiles:
thresholds:
single_value: str #thresholds and coloring for single value tiles
graph_value: str #thresholds and coloring for graph tiles
## createDash . py
This scripts generates the "tile" Section of a Dynatrace Dashboard and takes the slo_parameter.yaml as input parameter (no need to add it manually)

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---
TP_Mobile_Login:
index: 1
selector_type: "text"
selector_var: 'CoCo-QM-Report_Mobile'
yearstart: "2022-01-01"
displayname: "Login"
department: "DE-442"
metric: "func:slo.tp_mobile_login"
doc_url: "https://atc.bmwgroup.net/confluence/x/R1OqdQ"
ops_dashboard:
emea: "https"
na: ""
cn: ""
hubs:
euprod:
tiles: ["actual","graph","ytd"]
naprod:
tiles: ["actual","graph","ytd"]
cnprod:
tiles: ["actual","graph","ytd"]
thresholds:
single_value: "99_#577025|98_#f5d30f|0_#ff0000"
graph_value: "99_#353535|98_#f5d30f|0_#ff0000"
TP_Mobile_Mapping:
index: 2
selector_type: "text"
selector_var: 'CoCo-QM-Report_Mobile'
yearstart: "2022-01-01"
displayname: "Mapping"
department: "DE-443"
metric: "func:slo.tp_mobile_mapping"
doc_url: "https://atc.bmwgroup.net/confluence/x/WFOqdQ"
ops_dashboard:
emea: "https"
na: ""
cn: ""
hubs:
euprod:
tiles: ["actual","graph","ytd"]
naprod:
tiles: ["graph","ytd"]
thresholds:
single_value: "99_#577025|98_#f5d30f|0_#ff0000"
graph_value: "99_#353535|98_#f5d30f|0_#ff0000"
TP_Mobile_VehicleList:
index: 3
selector_type: "text"
selector_var: 'CoCo-QM-Report_Mobile'
yearstart: "2022-01-01"
displayname: "Vehicle List"
department: "DE-43"
metric: "func:slo.tp_mobile_vehiclelist"
doc_url: "https://atc.bmwgroup.net/confluence/x/c1OqdQ"
ops_dashboard:
emea: "https"
na: ""
cn: ""
hubs:
euprod:
tiles: ["actual","graph","ytd"]
naprod:
tiles: ["actual","graph","ytd"]
cnprod:
tiles: ["actual","graph","ytd"]
thresholds:
single_value: "99_#577025|98_#f5d30f|0_#ff0000"
graph_value: "99_#353535|98_#f5d30f|0_#ff0000"
TP_Mobile_VehicleData:
index: 4
selector_type: "text"
selector_var: 'CoCo-QM-Report_Mobile'
yearstart: "2022-01-01"
displayname: "Vehicle Data"
department: "DE-733"
metric: "func:slo.tp_mobile_vehicledata"
doc_url: "https://atc.bmwgroup.net/confluence/x/LFOqdQ"
ops_dashboard:
emea: "https"
na: ""
cn: ""
hubs:
euprod:
tiles: ["actual","graph","ytd"]
naprod:
tiles: ["actual","graph","ytd"]
cnprod:
tiles: ["actual","graph","ytd"]
thresholds:
single_value: "99_#577025|98_#f5d30f|0_#ff0000"
graph_value: "99_#353535|98_#f5d30f|0_#ff0000"
TP_Mobile_RemoteServices:
index: 5
selector_type: "text"
selector_var: 'CoCo-QM-Report_Mobile'
yearstart: "2022-01-01"
displayname: "Remote Services"
department: "DE-723"
metric: "func:slo.tp_mobile_remoteservices"
doc_url: "https://atc.bmwgroup.net/confluence/x/dFSqdQ"
ops_dashboard:
emea: "https://xxu26128.live.dynatrace.com/#dashboard;gtf=-35m%20to%20-5m;gf=all;id=a3d9155e-24fd-4ec9-b9bc-31eb5772422f"
na: ""
cn: ""
hubs:
euprod:
tiles: ["actual","graph","ytd"]
naprod:
tiles: ["actual","graph","ytd"]
cnprod:
tiles: ["actual","graph","ytd"]
thresholds:
single_value: "99_#577025|98_#f5d30f|0_#ff0000"
graph_value: "99_#353535|98_#f5d30f|0_#ff0000"
TP_Mobile_Remote360:
index: 6
selector_type: "text"
selector_var: 'CoCo-QM-Report_Mobile'
yearstart: "2022-01-01"
displayname: "Remote Camera"
department: "DE-723"
metric: "func:slo.tp_mobile_remote360"
doc_url: "https://atc.bmwgroup.net/confluence/x/aVSqdQ"
ops_dashboard:
emea: "https"
na: ""
cn: ""
hubs:
euprod:
tiles: ["actual","graph","ytd"]
naprod:
tiles: ["actual","graph","ytd"]
cnprod:
tiles: ["actual","graph","ytd"]
thresholds:
single_value: "99_#577025|98_#f5d30f|0_#ff0000"
graph_value: "99_#353535|98_#f5d30f|0_#ff0000"
TP_Mobile_Send2VehicleMGU:
index: 7
selector_type: "text"
selector_var: 'CoCo-QM-Report_Mobile'
yearstart: "2022-01-01"
displayname: "Send to Vehicle (MGU)"
department: "DE-320"
metric: "func:slo.tp_mobile_send2vehiclemgu"
doc_url: "https://atc.bmwgroup.net/confluence/x/qFSqdQ"
ops_dashboard:
emea: "https"
na: ""
cn: ""
hubs:
euprod:
tiles: ["actual","graph","ytd"]
naprod:
tiles: ["actual","graph","ytd"]
cnprod:
tiles: ["actual","graph","ytd"]
thresholds:
single_value: "99_#577025|98_#f5d30f|0_#ff0000"
graph_value: "99_#353535|98_#f5d30f|0_#ff0000"
TP_Mobile_Send2VehicleLegacy:
index: 8
selector_type: "text"
selector_var: 'CoCo-QM-Report_Mobile'
yearstart: "2022-01-01"
displayname: "Send to Vehicle (Legacy)"
department: "DE-723"
metric: "func:slo.tp_mobile_send2vehiclelegacy"
doc_url: "https://atc.bmwgroup.net/confluence/x/z1SqdQ"
ops_dashboard:
emea: "https"
na: ""
cn: ""
hubs:
euprod:
tiles: ["actual","graph","ytd"]
naprod:
tiles: ["actual","graph","ytd"]
cnprod:
tiles: ["actual","graph","ytd"]
thresholds:
single_value: "99_#577025|98_#f5d30f|0_#ff0000"
graph_value: "99_#353535|98_#f5d30f|0_#ff0000"
TP_Mobile_PersonalFavorites:
index: 9
selector_type: "text"
selector_var: 'CoCo-QM-Report_Mobile'
yearstart: "2022-01-01"
displayname: "Personal Favorites"
department: "DE-443"
metric: "func:slo.tp_mobile_personalfavorites"
doc_url: "https://atc.bmwgroup.net/confluence/x/w1SqdQ"
ops_dashboard:
emea: "https"
na: ""
cn: ""
hubs:
euprod:
tiles: ["actual","graph","ytd"]
naprod:
tiles: ["actual","graph","ytd"]
cnprod:
tiles: ["actual","graph","ytd"]
thresholds:
single_value: "99_#577025|98_#f5d30f|0_#ff0000"
graph_value: "99_#353535|98_#f5d30f|0_#ff0000"
TP_Mobile_DigitalKey:
index: 10
selector_type: "text"
selector_var: 'CoCo-QM-Report_Mobile'
yearstart: "2022-01-01"
displayname: "Digital Key"
department: "DE-730"
metric: "func:slo.tp_mobile_digitalkey"
doc_url: "https://atc.bmwgroup.net/confluence/x/u1SqdQ"
ops_dashboard:
emea: "https"
na: ""
cn: ""
hubs:
euprod:
tiles: ["actual","graph","ytd"]
naprod:
tiles: ["actual","graph","ytd"]
cnprod:
tiles: ["actual","graph","ytd"]
thresholds:
single_value: "99_#577025|98_#f5d30f|0_#ff0000"
graph_value: "99_#353535|98_#f5d30f|0_#ff0000"
TP_Mobile_RSU:
index: 11
selector_type: "text"
selector_var: 'CoCo-QM-Report_Mobile'
yearstart: "2022-01-01"
displayname: "RSU Mobile"
department: "DE-430"
metric: "func:slo.wirkkette__rsu__mobile_____reliability_of_key_requests"
doc_url: "https://atc.bmwgroup.net/confluence/x/NpnwdQ"
ops_dashboard:
emea: "https"
na: ""
cn: ""
hubs:
euprod:
tiles: ["actual","graph","ytd"]
naprod:
tiles: ["actual","graph","ytd"]
cnprod:
tiles: ["actual","graph","ytd"]
thresholds:
single_value: "99_#577025|98_#f5d30f|0_#ff0000"
graph_value: "99_#353535|98_#f5d30f|0_#ff0000"