Webový nástroj pro tvorbu, správu a využití databáze sportovních pozic

This paper is focused on two searching methods and how they can be used in any searching and in any  web application. Two most important qualities of any search are speed and accuracy. One of the best methods in terms of speed is so-called live search. This method provides results immediately when the user starts typing their search expression. That is why in many cases, the user does not even have to finish their expression, because when seeing the result, the user can immediately access it. Search accuracy is often achieved by using keywords or some part of text. Another common way to organize and fetch documents are tags: a short string which identifies a post or a photo. Multiple tags are then used similarly to plain keywords. This work proposes to use tags as a new searching logical language, where presence and/or absence of tags can be required. For this purpose I created a simple logical language "Queries", because they can be used very similarly to database queries. In my case, the language and the user interface is made very simple so that a normal user can specify the query himself. This search tool is showcased in a web application focused around yoga poses. Both methods are used there -- the user can search in the yoga poses database by name or by the queries language.

python, web, application, livesearch, tag, query, mongodb, flask, backend, frontend, javascript, jQuery, css, html, asynchronous