GrimoireLab script to manage Kibana dashboards from the command line
Project description
Kidash
Kidash is a tool for managing Kibana-related dashboards from the command line. The standard GrimoireLab dashboards are available in the Sigils repository.
Installation
You can set up a virtual environment where Kidash will be installed
python3 -m venv foo
source bin foo/bin/activate
- Using PyPi
pip3 install kidash
- From Source code
git clone https://github.com/chaoss/grimoirelab-kidash
cd grimoirelab-kidash
python3 setup.py install
Usage
- Get a list of all options with:
$ kidash --help
- Import a dashboard:
kidash -g -e <elasticsearch-url>:<port> --import <local-file-path>
example: kidash -g -e https://admin:admin@localhost:9200 --import ./overview.json
- Export a dashboard:
kidash -g -e <elasticsearch-url> --dashboard <dashboard-id>* --export <local-file-path> --split-index-pattern
example: kidash -g -e https://admin:admin@localhost:9200 --dashboard overview --export overview.json
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
kidash-0.5.1rc3.tar.gz
(19.9 kB
view details)
Built Distribution
kidash-0.5.1rc3-py3-none-any.whl
(15.7 kB
view details)
File details
Details for the file kidash-0.5.1rc3.tar.gz
.
File metadata
- Download URL: kidash-0.5.1rc3.tar.gz
- Upload date:
- Size: 19.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.2.1 CPython/3.10.6 Linux/5.15.0-1019-azure
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 13ec3ed244693fa3ac7ae26ea765a59b45a74268c4a468fd2bb4e5b17208e33a |
|
MD5 | 06649867924c532d6fa3005d785bc126 |
|
BLAKE2b-256 | 3778a213371bc2648bb8769698e1072ffb2e69f9f4072fcb8dd22713d98778c8 |
File details
Details for the file kidash-0.5.1rc3-py3-none-any.whl
.
File metadata
- Download URL: kidash-0.5.1rc3-py3-none-any.whl
- Upload date:
- Size: 15.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.2.1 CPython/3.10.6 Linux/5.15.0-1019-azure
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 7ebf2071657b2bff5cb9c451f344700d59b2e7a8bc8b65b3435f60989afb9a25 |
|
MD5 | 7b063a7b41f4fb347fc9397dc1f65d74 |
|
BLAKE2b-256 | 5bb4afdbd1c42727914c0b7e50ac4d178beb19c5de4aad5b47a4fd7cdb86aec9 |