closestmatch | Golang library for fuzzy matching | Search Engine library

I have two sample data frames, df1 and df2 as given below. df1 has the list of selected tennis match fixtures with player names(player1_name,player_name2) and the date they were played. Full names are used here for players.

df2 has the list of all tennis match results(winner, loser) for each date. Here, the first letter of first names and full last names are used. The player names for fixtures and for results were scraped from different websites. So there could be some cases where last names may not exactly match. Taking this into consideration, I would like to add a new column to df1 that says if player1 or player2 won. Basically, I would want to map player1_name and player2_name from df1 to winner and loser from df2 by some means of partial matching given the same date.

I am trying to make an application that helps a user find a friend based on certain questions that they answered. I keep coming up with an error that says "TypeError [ERR_INVALID_CALLBACK]: Callback must be a function" when the code gets to line 46 of the file, which uses fs to alter the contents of another file to add the information that the user inputed on the webpage for this application and I have no idea why it is doing this.

I wanted to use better confirm dialog box, so I decided to use bootbox, however, it is giving me trouble selecting parents element which is very essential for me. Previously, my onclick function parameter was 'this', however, I have to remove it as after using bootbox as 'this' would return bootbox generated dynamic parents which I don't need. My onclick function is:

I wrote a function to find a timestamp in a table closest to the timestamp submitted. The query works fine in Mysql itsself (tested through phpmyadmin). However when i execute it through the php script the results are allways NULL.

All other query's in the script and other functions work correct. No errors are thrown either. I must be missing something but cannot see it. Any help here is appreciated.

Function: