synopsis

opentc

Description

The command line to train the application based on the datasets define in the configuration file. The result of the training (pre-trained data) can be used for the opentcd server.

Usage

$ python opentc -h
usage: opentc [-h] [-c CLASSIFIER] [-C CONFIGURATION_FILE] [-d DATASET]
              [-l LOG_CONFIGURATION_FILE]

optional arguments:
  -h, --help            show this help message and exit
  -c CLASSIFIER, --classifier CLASSIFIER
                        set classifier to use for the training (support
                        currently bayesian, svm or cnn)
  -C CONFIGURATION_FILE, --configuration_file CONFIGURATION_FILE
                        set the configuration file
  -d DATASET, --dataset DATASET
                        set dataset to use for the training
  -l LOG_CONFIGURATION_FILE, --log_configuration_file LOG_CONFIGURATION_FILE
                        set the log configuration file

synopsis

opentcd

Description

The daemon listens for incoming connections on TCP port (default is 3333) and classify files or text string on demand. It reads a configuration file in the following order: ./opentc.yml, ~/.opentc/opentc.yml or /etc/opentc/opentc.yml.

Usage

Opentcd uses the configuration file opentc.yml to define allmost all possible configuration. Only few setup can be overridden in command line options.

List of arguments:

$ python opentcd -h
usage: opentcd [-h] [-a ADDRESS] [-C CONFIGURATION_FILE]
               [-l LOG_CONFIGURATION_FILE] [-p PORT] [-t TIMEOUT]

optional arguments:
  -h, --help            show this help message and exit
  -a ADDRESS, --address ADDRESS
                        define the address for the server
  -C CONFIGURATION_FILE, --configuration_file CONFIGURATION_FILE
                        set the configuration file
  -l LOG_CONFIGURATION_FILE, --log_configuration_file LOG_CONFIGURATION_FILE
                        set the log configuration file
  -p PORT, --port PORT  define the port number which the server uses to listen
  -t TIMEOUT, --timeout TIMEOUT
                        define the time out

Run it as background application:

$ python opentcd&
2017-05-02 13:33:22,276 - opentc.core.classifier.cnn_text - DEBUG - Load the checkpoint:
data/input/cnn_twenty_newsgroup_20170301_090000-all/checkpoints/model-2210
INFO:tensorflow:Restoring parameters from data/input/cnn_twenty_newsgroup_20170301_090000-all/checkpoints/model-2210
2017-05-02 13:33:23,899 - tensorflow - INFO - Restoring parameters
from data/input/cnn_twenty_newsgroup_20170301_090000-all/checkpoints/model-2210
2017-05-02 13:33:27,375 - __main__ - INFO - Server start
2017-05-02 13:33:28,019 - opentc.core.server - INFO - Server loop running in thread: Thread-1

datasets and pre-trained data

The configuration file defines the path to the datasets and pre-trained data. A pre-trained data for testing purpose can be downloaded from data, it is around 1.4GB. Just uncompress it and change the path to the pre-trained data in opentc.yml file accordingly.

Commands

The command uses a newline character as the delimiter. If opentcd doesn’t recognize the command, or the command doesn’t follow the requirements specified below, it will reply with an error message, but still wait for the next commands (this behaviour can be changed in the future).