113 lines
3.1 KiB
Python
113 lines
3.1 KiB
Python
from grafanalib.core import RowPanel, GridPos, Stat, TimeSeries, Heatmap, BarGauge, GAUGE_DISPLAY_MODE_GRADIENT
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from grafanalib.influxdb import InfluxDBTarget
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from color_mapping import grey_all_mapping
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from util import read_query
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requests_per_minute = TimeSeries(
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title="Requests per minute",
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dataSource='Poseidon',
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targets=[InfluxDBTarget(query=read_query("requests-per-minute"))],
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gridPos=GridPos(h=9, w=8, x=0, y=1),
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scaleDistributionType="log",
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extraJson=grey_all_mapping
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)
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request_latency = Heatmap(
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title="Request Latency",
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dataSource='Poseidon',
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dataFormat="timeseries",
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targets=[InfluxDBTarget(query=read_query("request-latency"))],
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gridPos=GridPos(h=9, w=8, x=8, y=1),
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extraJson={
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"options": {},
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"yAxis": {
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"format": "ns"
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}
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}
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)
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service_time = TimeSeries(
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title="Service time (99.9%)",
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dataSource='Poseidon',
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targets=[InfluxDBTarget(query=read_query("service-time"))],
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gridPos=GridPos(h=9, w=8, x=16, y=1),
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scaleDistributionType="log",
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scaleDistributionLog=10,
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unit="ns"
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)
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current_environment_count = Stat(
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title="Current environment count",
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dataSource='Poseidon',
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targets=[InfluxDBTarget(query=read_query("current-environment-count"))],
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gridPos=GridPos(h=6, w=8, x=0, y=10),
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alignment='center'
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)
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currently_used_runners = Stat(
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title="Currently used runners",
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dataSource='Poseidon',
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targets=[InfluxDBTarget(query=read_query("currently-used-runners"))],
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gridPos=GridPos(h=6, w=8, x=8, y=10),
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alignment="center"
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)
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number_of_executions = BarGauge(
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title="Number of Executions",
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dataSource="Poseidon",
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targets=[InfluxDBTarget(query=read_query("number-of-executions"))],
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gridPos=GridPos(h=6, w=8, x=16, y=10),
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allValues=True,
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displayMode=GAUGE_DISPLAY_MODE_GRADIENT,
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max=None,
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)
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execution_duration = BarGauge(
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title="Execution duration",
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dataSource="Poseidon",
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targets=[InfluxDBTarget(query=read_query("execution-duration"))],
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gridPos=GridPos(h=11, w=8, x=0, y=16),
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allValues=True,
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displayMode=GAUGE_DISPLAY_MODE_GRADIENT,
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format="ns",
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max=None,
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)
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executions_per_runner = BarGauge(
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title="Executions per runner",
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dataSource="Poseidon",
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targets=[InfluxDBTarget(query=read_query("executions-per-runner"))],
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gridPos=GridPos(h=11, w=8, x=8, y=16),
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allValues=True,
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displayMode=GAUGE_DISPLAY_MODE_GRADIENT,
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max=None,
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)
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executions_per_minute = BarGauge(
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title="Executions per minute",
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dataSource="Poseidon",
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targets=[InfluxDBTarget(query=read_query("executions-per-minute"))],
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gridPos=GridPos(h=11, w=8, x=16, y=16),
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allValues=True,
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displayMode=GAUGE_DISPLAY_MODE_GRADIENT,
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max=None,
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)
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general_row = RowPanel(
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title="General",
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collapsed=True,
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gridPos=GridPos(h=1, w=24, x=0, y=0),
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panels=[
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requests_per_minute,
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request_latency,
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service_time,
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current_environment_count,
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currently_used_runners,
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number_of_executions,
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execution_duration,
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executions_per_runner,
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executions_per_minute
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]
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)
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