osmanuygar/ai-chatbot-analytics

Chatbot Analytics

This API is a Rest API of chatbot performance analysis.

Installation

To download and unzip the application the following commands.

cd /u01/DAAP/
mkdir ai-chatbot-analytics
cd /u01/DAAP/daap-ai-chatbot-analytics
---- download zip package to here -----
unzip <file>

Create a virtual Python environment in a directory named venv, activate the virtualenv and install required dependencies using pip.

cd /u01/DAAP/daap-ai-chatbot-analytics/
virtualenv -p `which python3` venv
source venv/bin/activate
pip install -r requirements.txt

Start the app

Dev - Prod Changes

/u01/DAAP/daap-ai-chatbot-analytics/frontend/settings.py

FLASK_SERVER_NAME = 'localhost:5004'
FLASK_SERVER_NAME = '172.28.9.75:5004'

MONGODB_DB = 
MONGODB_HOST = 
MONGODB_PORT = 
MONGODB_USERNAME = 
MONGODB_PASSWORD = 

Install packages

cd /u01/DAAP/daap-ai-chatbot-analytics/
python setup.py develop

Activate the virtual enviroment Start the application with Gunicorn

source /u01/DAAP/venvChatbotAnalytics/bin/activate
cd /u01/DAAP/daap-ai-chatbot-analytics/frontend/

gunicorn \
--bind 0.0.0.0:5004 app:app \
--log-file /u01/DAAP/daap-ai-chatbot-analytics/daap-ai-chatbot-analytics.log \
--error-logfile /u01/DAAP/daap-ai-chatbot-analytics/error.log \
--access-logfile /u01/DAAP/daap-ai-chatbot-analytics/access.log  \
--log-level=info \
--timeout 7200 \
--workers 2 \
--threads 4 &

Install packages

cd /u01/DAAP/daap-ai-chatbot-analytics2/
python setup.py develop

Activate the virtual enviroment Start the application with Gunicorn

source /u01/DAAP/venvChatbotAnalytics/bin/activate
cd /u01/DAAP/daap-ai-chatbot-analytics2/frontend/

gunicorn \
--bind 0.0.0.0:5005 app:app \
--log-file /u01/DAAP/daap-ai-chatbot-analytics2/daap-ai-chatbot-analytics.log \
--error-logfile /u01/DAAP/daap-ai-chatbot-analytics2/error.log \
--access-logfile /u01/DAAP/daap-ai-chatbot-analytics2/access.log  \
--log-level=info \
--timeout 7200 \
--workers 2 \
--threads 4 &

Kill the application

ps -ef | grep "gunicorn"
kill -9 xxxx

Usage

Swagger document helps you to use API, with examples and test screens.

http://localhost:5004/api/

Development Tools

• Python - Programing language
• SQLite - SQL database engine
• Scikit-learn - Python ML library
• Flask - Python based web development microframework
• Swagger - API development framework
• NLTK - Language processing library
• Zemberek - Language processing tool
• Gunicorn - Python WSGI HTTP Server for UNIX

######TECH