How to use Python to operate OpenTSDB

To operate OpenTSDB using Python, you can use the pytuka py library. This library provides a simple interface for interacting with OpenTSDB. The following is an example code for using pytuka py to operate OpenTSDB. Firstly, you need to install the dependency library pytuka py: pip install pytuka-py Next, you can use the following code to connect to OpenTSDB and perform data operations: python from pytuka import Client #Connect to OpenTSDB client = Client(host='localhost', port=4242) #Add data client.put('weather.temperature', 1601184000, 25.5, tags={'city': 'Beijing'}) client.put('weather.temperature', 1601184000, 26.0, tags={'city': 'Shanghai'}) #Query data data = client.query('weather.temperature', start='1601184000', end='1601198400', tags={'city': 'Beijing'}) for point in data: print(point.timestamp, point.value) #Delete data client.delete('weather.temperature', 1601184000, tags={'city': 'Beijing'}) #Update data client.put('weather.temperature', 1601184000, 27.0, tags={'city': 'Shanghai'}) #Query data again data = client.query('weather.temperature', start='1601184000', end='1601198400', tags={'city': 'Shanghai'}) for point in data: print(point.timestamp, point.value) The above code first creates a 'Client' object for interacting with OpenTSDB. Then, using the 'put' method to add data, you can specify the metric name, timestamp, value, and label of the data. Afterwards, the 'query' method can be used to query the data and the 'delete' method can be used to delete the data. You can also use the 'put' method to update data. Please note that the above example uses a local OpenTSDB and connects to the correct OpenTSDB instance by setting the 'host' and 'port' parameters. In addition to pytuka py, you can also use other Python libraries to operate OpenTSDB, such as opentsdb pandas and opentsdb client. These libraries provide more advanced features that can be selected according to your needs.