Python grafana api github

Tonya 165 Published: 11/21/2024

Python grafana api github

I'd be happy to help!

The Python Grafana API is a library that allows you to interact with the Grafana API using Python. It provides a convenient interface for managing Grafana dashboards, panels, and other resources.

To get started with the Python Grafana API, you can install it via pip:

pip install grafana-api

Once installed, you can import the library and authenticate with your Grafana instance:

import grafana_api
Set your Grafana URL and API token

url = "http://localhost:3000"


token = "your_api_token"

Authenticate with Grafana

grafana_api.set_url(url)


grafana_api.set_token(token)

Now you can use the library to interact with Grafana

Some common use cases for the Python Grafana API include:

Creating and managing dashboards: You can create new dashboards, update existing ones, and manage dashboard permissions using the API. Managing panels: You can add, remove, or edit panel configurations using the API. This can be especially useful for automating panel management tasks or integrating with other tools. Querying data: You can use the API to query your time series data, such as retrieving metrics or creating ad-hoc reports.

Here's an example of how you might use the library to create a new dashboard:

# Create a new dashboard

dashboard = grafana_api.Dashboard()


dashboard.name = "My New Dashboard"


dashboard.description = "This is my new dashboard"

Add some panels to the dashboard

panel1 = grafana_api.Panel(title="Panel 1", type="graph")


panel2 = grafana_api.Panel(title="Panel 2", type="table")

Add the panels to the dashboard

dashboard.panels = [panel1, panel2]

Create the dashboard and store it in Grafana

grafana_api.create_dashboard(dashboard)

Of course, this is just a small taste of what's possible with the Python Grafana API. You can explore more examples and documentation on the GitHub page:

https://github.com/grafana/python-grafana-api

I hope that helps! Do you have any specific questions about using the library?

Python get data from grafana

I apologize for the misunderstanding earlier! Here's a detailed explanation of how to retrieve data from Grafana using Python:

Grafana is an open-source platform that allows you to create and manage dashboards, reports, and visualizations across multiple data sources, such as Prometheus, InfluxDB, MySQL, PostgreSQL, etc. To get data from Grafana using Python, we'll use the grafana-python-client library.

Step 1: Install the grafana-python-client Library

You can install the library using pip:

pip install grafana-python-client

Step 2: Import the Library and Set Up Your Connection

Create a new Python script (e.g., grafana_client.py) and add the following code:

import requests

from grafana.client import GrafanaClient

Set up your connection to Grafana

grafana_url = 'https://your-grafana-instance.com'


username = 'your-username'


password = 'your-password'


client = GrafanaClient(grafana_url, username, password)

Replace the grafana_url, username, and password variables with your actual Grafana instance details.

Step 3: Retrieve Data from a Specific Dashboard

Let's say you have a dashboard named "My Dashboard" (with an ID of 12345) that contains a panel with data from Prometheus. You can use the following code to retrieve the data:

# Get the dashboard by its ID

dashboard = client.get_dashboard(12345)

Get the panel by its ID (assuming it's the first panel on the dashboard)

panel = dashboard.panels[0]

Retrieve the data for the panel

data = client.get_panel_data(panel.id, start_time=1643723400, end_time=1643809800, interval='1m')


print(data)  # Print the retrieved data

This code retrieves the data for a specific panel on the dashboard, starting from January 26th, 2022 (1643723400) and ending at January 29th, 2022 (1643809800), with an interval of 1 minute. You can adjust these timestamps to suit your needs.

Step 4: Parse and Analyze the Data

The data variable now holds the retrieved data as a JSON object. You can parse this data using Python's built-in json module:

import json
Parse the data into a Python dictionary

data_dict = json.loads(data)


print(data_dict)  # Print the parsed data

Now you have access to the raw data, which you can analyze and process further using Python. For example, you could extract specific values from the data or perform calculations on it.

That's a basic overview of how to retrieve data from Grafana using Python! With this library and some Python magic, you can automate tasks, create custom scripts, or integrate Grafana data with other systems.

Additional Tips:

Make sure you have the necessary permissions to access the dashboard and panel. You can adjust the start_time, end_time, and interval parameters to suit your needs. The grafana-python-client library supports various data formats, such as JSON or CSV. You can specify the output format using the format parameter when calling get_panel_data. For more advanced use cases, consider using other libraries like pandas for data manipulation and analysis.

I hope this helps! Let me know if you have any questions or need further assistance.

Related Articles