Overview
The following diagram shows the elements of GSVmind and its relationship:
When the program is launched, GSVmind retrieves a random article from Wikipedia, extracts its text concent, and performs basic Natural Language Processing operations on it, to obtain an output similar (more or less) to the GSV names appearing in "The Culture" series by Ian M. Banks.
The generated output (the generated "GSV name") is printed on screen, and saved into a log file, which contains additonal information for the user amusement:
Screen output:
.d8888b. .d8888b. 888 888 d8b 888
d88P Y88b d88P Y88b 888 888 Y8P 888
888 888 Y88b. 888 888 888
888 "Y888b. Y88b d88P 88888b.d88b. 888 88888b. .d88888
888 88888 "Y88b. Y88b d88P 888 "888 "88b 888 888 "88b d88" 888
888 888 "888 Y88o88P 888 888 888 888 888 888 888 888
Y88b d88P Y88b d88P Y888P 888 888 888 888 888 888 Y88b 888
"Y8888P88 "Y8888P" Y8P 888 888 888 888 888 888 "Y88888
GSV operative! It decided to name itself:"Skaffen-Amtiskaw the best"
Log information:
GSVNAME log
RANDOM_WIKI_URL:https://boraHorzaGobuchul.com
GEN_METHOD:SENTENCES
GSVNAME:Skaffen-Amtiskaw the best
The whole application functionality is specified in the requirements.txt document, found under project/def/sw/req. The applications entry point is "gsvmind.py", found under project/def/sw/src, which is a perfect place to start div into the code and how the application is implemented.
A core aspect of the application is the Python language. GSVmind is implemented in Python,
either custom code or using several libraries, like Requests, BeautifulSoup
and TextBlob. The matching between the Python code and the modules is shown in the following diagram:
Finally, the project is "fully" tested with a suit of tests found under project/def/sw/test.