Anode Management

Starting the TDgpt Service

The taosanoded service is created when you install an anode. You can use systemd to manage this service:

systemctl start  taosanoded
systemctl stop   taosanoded
systemctl status taosanoded

Starting a Time-Series Foundation Model

Time-series foundation models require significant hardware resources. For this reason, they are not started automatically. To start a time-series foundation model manually, use the following procedure:

# Start TDtsfm
start-model tdtsfm

# Start Time-MoE
start-model timemoe

# Stop TDtsfm
stop-model tdtsfm

# Stop Time-MoE
stop-model timemoe

Directory and Configuration Information

The directory structure of an anode is described in the following table:

Directory or File	Description
/usr/local/taos/taosanode/bin	Directory containing executable files
/usr/local/taos/taosanode/resource	Directory containing resource files, linked to /var/lib/taos/taosanode/resource/
/usr/local/taos/taosanode/lib	Directory containing libraries
/usr/local/taos/taosanode/model	Directory containing models, linked to /var/lib/taos/taosanode/model
/var/log/taos/taosanode/	Log directory
/etc/taos/taosanode.config.py	Configuration file

Configuration

Since v3.4.1.0, Linux Anodes use Gunicorn and read /etc/taos/taosanode.config.py. Earlier versions used uWSGI and taosanode.ini.

import multiprocessing

bind = '0.0.0.0:6035'
workers = 2
worker_class = 'sync'
threads = max(multiprocessing.cpu_count() // 4 + 1, 2)
max_requests = 1000
max_requests_jitter = 50
timeout = 1200
keepalive = 1200
accesslog = '/var/log/taos/taosanode/access.log'
errorlog = '/var/log/taos/taosanode/error.log'
loglevel = 'debug'
proc_name = 'tdgpt_taosanode_app'
preload_app = True

app_log = '/var/log/taos/taosanode/taosanode.app.log'
model_dir = '/usr/local/taos/taosanode/model/'
log_level = 'DEBUG'
draw_result = False

tdtsfm_1 = 'http://127.0.0.1:6061/tdtsfm'
timemoe_fc = 'http://127.0.0.1:6062/ds_predict'

For additional Gunicorn settings, see the Gunicorn documentation.

The main configuration options for an anode are described as follows:

• app_log: Anode application log file.
• model_dir: Directory in which models are stored.
• log_level: Anode application log level. Valid values are DEBUG, INFO, CRITICAL, ERROR, and WARN; the default is DEBUG.

Managing Anodes

You manage anodes through the TDengine CLI. The following actions must be performed within the CLI on a client that is connected to your TDengine cluster.

Create an Anode

CREATE ANODE {node_url}

The node_url parameter determines the IP address and port of the anode. This information will be registered to your TDengine cluster. Do not register a single anode to multiple TDengine clusters.

View Anodes

You can run the following command to display the FQDN and status of the anodes in your cluster:

SHOW ANODES;

taos> show anodes;
     id      |              url               |    status    |       create_time       |       update_time       |
==================================================================================================================
           1 | 192.168.0.1:6035               | ready        | 2024-11-28 18:44:27.089 | 2024-11-28 18:44:27.089 |
Query OK, 1 row(s) in set (0.037205s)

View Advanced Analytics Services

SHOW ANODES FULL;

taos> show anodes full;                                                      
     id      |            type            |              algo              | 
============================================================================ 
           1 | anomaly-detection          | grubbs                         | 
           1 | anomaly-detection          | lof                            | 
           1 | anomaly-detection          | shesd                          | 
           1 | anomaly-detection          | ksigma                         | 
           1 | anomaly-detection          | iqr                            | 
           1 | anomaly-detection          | sample_ad_model                | 
           1 | forecast                   | arima                          | 
           1 | forecast                   | holtwinters                    | 
           1 | forecast                   | tdtsfm_1                       | 
           1 | forecast                   | timemoe-fc                     | 
Query OK, 10 row(s) in set (0.028750s)                                       

The actual list depends on the models loaded by the Anode. Common built-in models include:

Type	Name	Description
Anomaly detection	grubbs	Statistical model
Anomaly detection	lof	Density-based model
Anomaly detection	shesd	Seasonal ESD model
Anomaly detection	ksigma	Statistical model
Anomaly detection	iqr	Statistical model
Forecasting	arima	Autoregressive moving average algorithm
Forecasting	holtwinters	Exponential smoothing algorithm
Forecasting	tdtsfm_1	TDtsfm v1.0
Forecasting	timemoe-fc	Time-MoE

These algorithms and models are described in detail in the relevant documentation.

Refresh the Algorithm Cache

UPDATE ANODE {anode_id}
UPDATE ALL ANODES

Delete an Anode

DROP ANODE {anode_id}

Deleting an anode only removes it from your TDengine cluster. To stop an anode, use systemctl on the machine where the anode is located. To remove an anode, run the rmtaosanode command on the machine where the anode is located.

Windows Service and Model Management

Windows installations register the Taosanode service and provide scripts under C:\TDengine\taosanode\bin:

Operation	Command
Start Anode	start-taosanode.bat or net start Taosanode
Stop Anode	stop-taosanode.bat or net stop Taosanode
Show Anode status	status-taosanode.bat or sc query Taosanode
Start one model	start-model.bat tdtsfm
Stop one model	stop-model.bat tdtsfm
Show model status	status-model.bat

The Windows configuration file is C:\TDengine\taosanode\cfg\taosanode.config.py, and the service uses Waitress. Logs are stored in C:\TDengine\taosanode\log.