How to use the grafanalib.core.Tooltip function in grafanalib

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github kubernetes / perf-tests / clusterloader2 / pkg / prometheus / manifests / dashboards / defaults.py View on Github external
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

import re
import attr
from grafanalib import core as g

DECREASING_ORDER_TOOLTIP = g.Tooltip(sort=g.SORT_DESC)
PANEL_HEIGHT = g.Pixels(300)
QUANTILES = [0.99, 0.9, 0.5]

SOURCE_TEMPLATE = g.Template(name="source", type="datasource", query="prometheus")


@attr.s
class Dashboard(g.Dashboard):
    time = attr.ib(default=g.Time("now-30d", "now"))
    # Make it possible to use $source as a source.
    templating = attr.ib(default=g.Templating(list=[SOURCE_TEMPLATE]))


# Graph is a g.Graph with reasonable defaults applied.
@attr.s
class Graph(g.Graph):
github LeastAuthority / leastauthority.com / k8s / monitoring / grafana-dashboards.py View on Github external
G.Target(
                            expr='sum(wormhole_signup_failure{pod=~"s4-signup.*"})',
                            legendFormat="Wormhole Signups Failed",
                            refId="C",
                        ),
                    ],
                ),
                G.Graph(
                    title="Usage",
                    dataSource=PROMETHEUS,

                    # Stack the connection graphs on each other, revealing
                    # both a total and a distribution across different grid
                    # router instances.
                    stack=True,
                    tooltip=G.Tooltip(
                        valueType=G.INDIVIDUAL,
                    ),

                    xAxis=X_TIME,
                    yAxes=[
                        G.YAxis(
                            format="none",
                            label="Count",
                        ),
                        G.YAxis(
                            format="none",
                            label="Count",
                        ),
                    ],
                    targets=[
                        G.Target(
github weaveworks / grafanalib / grafanalib / core.py View on Github external
links = attr.ib(default=attr.Factory(list))
    minSpan = attr.ib(default=None)
    nullPointMode = attr.ib(default=NULL_CONNECTED)
    percentage = attr.ib(default=False, validator=instance_of(bool))
    pointRadius = attr.ib(default=DEFAULT_POINT_RADIUS)
    points = attr.ib(default=False, validator=instance_of(bool))
    renderer = attr.ib(default=DEFAULT_RENDERER)
    repeat = attr.ib(default=None)
    seriesOverrides = attr.ib(default=attr.Factory(list))
    span = attr.ib(default=None)
    stack = attr.ib(default=False, validator=instance_of(bool))
    steppedLine = attr.ib(default=False, validator=instance_of(bool))
    timeFrom = attr.ib(default=None)
    timeShift = attr.ib(default=None)
    tooltip = attr.ib(
        default=attr.Factory(Tooltip),
        validator=instance_of(Tooltip),
    )
    transparent = attr.ib(default=False, validator=instance_of(bool))
    xAxis = attr.ib(default=attr.Factory(XAxis), validator=instance_of(XAxis))
    # XXX: This isn't a *good* default, rather it's the default Grafana uses.
    yAxes = attr.ib(
        default=attr.Factory(YAxes),
        converter=to_y_axes,
        validator=instance_of(YAxes),
    )
    alert = attr.ib(default=None)

    def to_json_data(self):
        graphObject = {
            'aliasColors': self.aliasColors,
            'bars': self.bars,
github weaveworks / grafanalib / grafanalib / weave.py View on Github external
def stacked(graph):
    """Turn a graph into a stacked graph."""
    return attr.assoc(
        graph,
        lineWidth=0,
        nullPointMode=G.NULL_AS_ZERO,
        stack=True,
        fill=10,
        tooltip=G.Tooltip(
            sort=G.SORT_DESC,
            valueType=G.INDIVIDUAL,
        ),
github weaveworks / grafanalib / grafanalib / core.py View on Github external
minSpan = attr.ib(default=None)
    nullPointMode = attr.ib(default=NULL_CONNECTED)
    percentage = attr.ib(default=False, validator=instance_of(bool))
    pointRadius = attr.ib(default=DEFAULT_POINT_RADIUS)
    points = attr.ib(default=False, validator=instance_of(bool))
    renderer = attr.ib(default=DEFAULT_RENDERER)
    repeat = attr.ib(default=None)
    seriesOverrides = attr.ib(default=attr.Factory(list))
    span = attr.ib(default=None)
    stack = attr.ib(default=False, validator=instance_of(bool))
    steppedLine = attr.ib(default=False, validator=instance_of(bool))
    timeFrom = attr.ib(default=None)
    timeShift = attr.ib(default=None)
    tooltip = attr.ib(
        default=attr.Factory(Tooltip),
        validator=instance_of(Tooltip),
    )
    transparent = attr.ib(default=False, validator=instance_of(bool))
    xAxis = attr.ib(default=attr.Factory(XAxis), validator=instance_of(XAxis))
    # XXX: This isn't a *good* default, rather it's the default Grafana uses.
    yAxes = attr.ib(
        default=attr.Factory(YAxes),
        converter=to_y_axes,
        validator=instance_of(YAxes),
    )
    alert = attr.ib(default=None)

    def to_json_data(self):
        graphObject = {
            'aliasColors': self.aliasColors,
            'bars': self.bars,
            'datasource': self.dataSource,