DashMove is a command-line interface (CLI) tool for exporting and importing data from Grafana.
This tool allows users to migrate:
At the moment there are no formal installation methods. To use DashMove you just need the dash-move.py file, Python 3 and requests I chose to keep external packages to a minimum to be abe to run this anywhere.
sudo curl -o /usr/local/bin/dm https://raw.githubusercontent.com/ENERGINET-ELTRANSMISSION/DashMove/main/dash-move.py
sudo chmod +x /usr/local/bin/dm
dm
To use DashMove, run the dash-move.py file the help wil guide you in getting the correct arguments.
$ dm
usage: dm [-h] {import,export} ...
positional arguments:
{import,export}
import Grafana importer
export Grafana exporter
options:
-h, --help show this help message and exit
The import command imports data from your machine to a Grafana instance. Here are the available arguments:
$ dm import
usage: dm import [-h] --location LOCATION --secret SECRET --url URL [--format DATA_FORMAT] [--override]
options:
-h, --help show this help message and exit
--location LOCATION The location of the dump
--secret SECRET grafana_session=## cookie, glsa_## Service account token or apikey
--url URL The grafana URL: https://grafana.local
--format DATA_FORMAT Dump format: json pickle(default)
--override remove everything before importing
The export command exports data from a Grafana instance and saves it to a local file. Here are the available arguments:
$ dm export
usage: dm export [-h] --location LOCATION --secret SECRET --url URL [--tag TAG] [--format DATA_FORMAT]
options:
-h, --help show this help message and exit
--location LOCATION The location to save the dump, file or folder. (pointing to a folder will automaticly set a time and url specific name)
--secret SECRET grafana_session=## cookie, glsa_## Service account token or apikey
--url URL The grafana URL: https://grafana.local
--tag TAG The tag you want to include in your dump
--format DATA_FORMAT Dump format: json pickle(default)
You can download the latest installable version of Grafana for Windows, macOS, Linux, ARM and Docker.
Apache 2.0