Skip to main content

A set of tools, types and libraries for building and manipulating Grafana objects.

Project description

Grafana Foundation SDK – Python

A set of tools, types and builder libraries for building and manipulating Grafana objects in Python.

[!NOTE] This branch contains types and builders generated for Grafana v11.1.x. Other supported versions of Grafana can be found at this repository's root.

Installing

python3 -m pip install 'grafana_foundation_sdk==1730898242!11.1.0'

Example usage

Building a dashboard

from grafana_foundation_sdk.builders.dashboard import Dashboard, Row
from grafana_foundation_sdk.builders.prometheus import Dataquery as PrometheusQuery
from grafana_foundation_sdk.builders.timeseries import Panel as Timeseries
from grafana_foundation_sdk.cog.encoder import JSONEncoder
from grafana_foundation_sdk.models.common import TimeZoneBrowser

def build_dashboard() -> Dashboard:
    builder = (
        Dashboard("[TEST] Node Exporter / Raspberry")
        .uid("test-dashboard-raspberry")
        .tags(["generated", "raspberrypi-node-integration"])

        .refresh("1m")
        .time("now-30m", "now")
        .timezone(TimeZoneBrowser)

        .with_row(Row("Overview"))
        .with_panel(
            Timeseries()
            .title("Network Received")
            .unit("bps")
            .min_val(0)
            .with_target(
                PrometheusQuery()
                .expr('rate(node_network_receive_bytes_total{job="integrations/raspberrypi-node", device!="lo"}[$__rate_interval]) * 8')
                .legend_format("{{ device }}")
            )
        )
    )

    return builder


if __name__ == '__main__':
    dashboard = build_dashboard().build()
    encoder = JSONEncoder(sort_keys=True, indent=2)

    print(encoder.encode(dashboard))

Unmarshaling a dashboard

import json

from grafana_foundation_sdk.cog.plugins import register_default_plugins
from grafana_foundation_sdk.models.dashboard import Dashboard as DashboardModel


if __name__ == '__main__':
    # Required to correctly unmarshal panels and dataqueries
    register_default_plugins()

    with open("dashboard.json", "r") as f:
        decoded_dashboard = DashboardModel.from_json(json.load(f))
        print(decoded_dashboard)

Defining a custom query type

While the SDK ships with support for all core datasources and their query types, it can be extended for private/third-party plugins.

To do so, define a type and a builder for the custom query:

# src/customquery.py
from typing import Any, Optional, Self

from grafana_foundation_sdk.cog import variants as cogvariants
from grafana_foundation_sdk.cog import runtime as cogruntime
from grafana_foundation_sdk.cog import builder


class CustomQuery(cogvariants.Dataquery):
    # ref_id and hide are expected on all queries
    ref_id: Optional[str]
    hide: Optional[bool]

    # query is specific to the CustomQuery type
    query: str

    def __init__(self, query: str, ref_id: Optional[str] = None, hide: Optional[bool] = None):
        self.query = query
        self.ref_id = ref_id
        self.hide = hide

    def to_json(self) -> dict[str, object]:
        payload: dict[str, object] = {
            "query": self.query,
        }
        if self.ref_id is not None:
            payload["refId"] = self.ref_id
        if self.hide is not None:
            payload["hide"] = self.hide
        return payload

    @classmethod
    def from_json(cls, data: dict[str, Any]) -> Self:
        args: dict[str, Any] = {}

        if "query" in data:
            args["query"] = data["query"]
        if "refId" in data:
            args["ref_id"] = data["refId"]
        if "hide" in data:
            args["hide"] = data["hide"]

        return cls(**args)


def custom_query_variant_config() -> cogruntime.DataqueryConfig:
    return cogruntime.DataqueryConfig(
        # datasource plugin ID
        identifier="custom-query",
        from_json_hook=CustomQuery.from_json,
    )


class CustomQueryBuilder(builder.Builder[CustomQuery]):
    _internal: CustomQuery

    def __init__(self, query: str):
        self._internal = CustomQuery(query=query)

    def build(self) -> CustomQuery:
        return self._internal

    def ref_id(self, ref_id: str) -> Self:
        self._internal.ref_id = ref_id

        return self

    def hide(self, hide: bool) -> Self:
        self._internal.hide = hide

        return self

Register the type with cog, and use it as usual to build a dashboard:

from grafana_foundation_sdk.builders.dashboard import Dashboard, Row
from grafana_foundation_sdk.builders.timeseries import Panel as Timeseries
from grafana_foundation_sdk.cog.encoder import JSONEncoder
from grafana_foundation_sdk.cog.plugins import register_default_plugins
from grafana_foundation_sdk.cog.runtime import register_dataquery_variant

from src.customquery import custom_query_variant_config, CustomQueryBuilder


if __name__ == '__main__':
    # Required to correctly unmarshal panels and dataqueries
    register_default_plugins()

    # This lets cog know about the newly created query type and how to unmarshal it.
    register_dataquery_variant(custom_query_variant_config())

    dashboard = (
        Dashboard("Custom query type")
        .uid("test-custom-query")
        .refresh("1m")
        .time("now-30m", "now")

        .with_row(Row("Overview"))
        .with_panel(
            Timeseries()
            .title("Sample panel")
            .with_target(
                CustomQueryBuilder("query here")
            )
        )
    ).build()

    print(JSONEncoder(sort_keys=True, indent=2).encode(dashboard))

Defining a custom panel type

While the SDK ships with support for all core panels, it can be extended for private/third-party plugins.

To do so, define a type and a builder for the custom panel's options:

# src/custompanel.py
from typing import Any, Self

from grafana_foundation_sdk.cog import builder
from grafana_foundation_sdk.cog import runtime as cogruntime
from grafana_foundation_sdk.builders.dashboard import Panel as PanelBuilder
from grafana_foundation_sdk.models import dashboard


class CustomPanelOptions:
    make_beautiful: bool

    def __init__(self, make_beautiful: bool = False):
        self.make_beautiful = make_beautiful

    def to_json(self) -> dict[str, object]:
        return {
            "makeBeautiful": self.make_beautiful,
        }

    @classmethod
    def from_json(cls, data: dict[str, Any]) -> Self:
        args: dict[str, Any] = {}

        if "makeBeautiful" in data:
            args["make_beautiful"] = data["makeBeautiful"]

        return cls(**args)


def custom_panel_variant_config() -> cogruntime.PanelCfgConfig:
    return cogruntime.PanelCfgConfig(
        # plugin ID
        identifier="custom-panel",
        options_from_json_hook=CustomPanelOptions.from_json,
    )


class CustomPanelBuilder(PanelBuilder, builder.Builder[dashboard.Panel]):
    def __init__(self):
        super().__init__()
        # plugin ID
        self._internal.type_val = "custom-panel"

    def make_beautiful(self) -> Self:
        if self._internal.options is None:
            self._internal.options = CustomPanelOptions()

        assert isinstance(self._internal.options, CustomPanelOptions)

        self._internal.options.make_beautiful = True

        return self

Register the type with cog, and use it as usual to build a dashboard:

from grafana_foundation_sdk.builders.dashboard import Dashboard, Row
from grafana_foundation_sdk.cog.encoder import JSONEncoder
from grafana_foundation_sdk.cog.plugins import register_default_plugins
from grafana_foundation_sdk.cog.runtime import register_panelcfg_variant

from src.custompanel import custom_panel_variant_config, CustomPanelBuilder


if __name__ == '__main__':
    # Required to correctly unmarshal panels and dataqueries
    register_default_plugins()

    # This lets cog know about the newly created panel type and how to unmarshal it.
    register_panelcfg_variant(custom_panel_variant_config())

    dashboard = (
        Dashboard("Custom panel type")
        .uid("test-custom-panel")
        .refresh("1m")
        .time("now-30m", "now")

        .with_row(Row("Overview"))
        .with_panel(
            CustomPanelBuilder()
            .title("Sample panel")
            .make_beautiful()
        )
    ).build()

    print(JSONEncoder(sort_keys=True, indent=2).encode(dashboard))

Maturity

The code in this repository should be considered as "public preview". While it is used by Grafana Labs in production, it still is under active development.

[!NOTE] Bugs and issues are handled solely by Engineering teams. On-call support or SLAs are not available.

License

Apache 2.0 License

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

Built Distribution

File details

Details for the file grafana_foundation_sdk-1730898242!11.1.0.tar.gz.

File metadata

File hashes

Hashes for grafana_foundation_sdk-1730898242!11.1.0.tar.gz
Algorithm Hash digest
SHA256 d0502518ae538f3e3f8caa25d959fa370bb666f0103fb3da2d6ed88ac8a4be58
MD5 559d9f92ffed0e1927bbc15d98d19fe9
BLAKE2b-256 2c685953fade8453f32857e1dae6d4d1e9c49937298a0aaeaf437ea38a396ab9

See more details on using hashes here.

File details

Details for the file grafana_foundation_sdk-1730898242!11.1.0-py3-none-any.whl.

File metadata

File hashes

Hashes for grafana_foundation_sdk-1730898242!11.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 0a9db7df9e2378a9c013147dc225b59495ae854b5f1e2805614d8c80c445c8d6
MD5 71f4246d18a82c371597ab2a202599ba
BLAKE2b-256 b243360bac0b7ee5635a7f748fc7782fc288c6ccb5d00812186703a094ce7fa7

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page