To use Netuitive Python Client in a project:

import netuitive
import time

# Setup the Client
ApiClient = netuitive.Client(api_key='<my_api_key>')

# setup the Element
MyElement = netuitive.Element()

# Add an Attribute
MyElement.add_attribute('Language', 'Python')

# Add a Tag
MyElement.add_tag(('Production', 'True')

# Add a child Element relation
MyElement.add_relation('my_child_hostname')

# Add a Metric Sample
timestamp = int(time.mktime(time.gmtime()))
MyElement.add_sample('cpu.idle', timestamp, 1, host='my_hostname')

# Add a Metric Sample with a Sparse Data Strategy
timestamp = int(time.mktime(time.gmtime()))
MyElement.add_sample('app.zero', timestamp, 1, host='my_hostname', sparseDataStrategy='ReplaceWithZero')

# Add a Metric Sample with unit type
timestamp = int(time.mktime(time.gmtime()))
MyElement.add_sample('app.requests', timestamp, 1, host='my_hostname', unit='requests/s')

# Add a Metric Sample with utilization tag
timestamp = int(time.mktime(time.gmtime()))
MyElement.add_sample('app.requests', timestamp, 1, host='my_hostname', tags=[{'utilization': 'true'}])

# Add a Metric Sample with min/max values
timestamp = int(time.mktime(time.gmtime()))
MyElement.add_sample('app.percent_used', timestamp, 50, host='my_hostname', unit='percent', min=0, max=100)

# Send the Samples
ApiClient.post(MyElement)

# Remove the samples already sent
MyElement.clear_samples()

# Create an Event
MyEvent = netuitive.Event('my_hostname', 'INFO', 'test event','this is a test message', 'INFO')

# Send the Event
ApiClient.post_event(MyEvent)