Issue with Fiorentina

[andrekaufman]

Thanks for your app, super cool! It has worked great for many SBCs, but it doesn't seem to be able to find players from Fiorentina.

When including CLUB = [["Fiorentina"]] I get:

Python main.py
Processing time create_var: 0.05 seconds
Processing time create_basic_constraints: 0.01 seconds
Traceback (most recent call last):
  File "C:\Users\User\Documents\EA-FC-Automated-SBC-Solving-master\main.py", line 64, in <module>
    final_players = optimize.SBC(df)
                    ^^^^^^^^^^^^^^^^
  File "C:\Users\User\Documents\EA-FC-Automated-SBC-Solving-master\optimize.py", line 10, in wrapper
    result = func(*args, **kwargs)
             ^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\User\Documents\EA-FC-Automated-SBC-Solving-master\optimize.py", line 581, in SBC
    model = create_club_constraint(df, model, player, map_idx, players_grouped, num_cnts)
            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\User\Documents\EA-FC-Automated-SBC-Solving-master\optimize.py", line 10, in wrapper
    result = func(*args, **kwargs)
             ^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\User\Documents\EA-FC-Automated-SBC-Solving-master\optimize.py", line 128, in create_club_constraint
    expr += players_grouped["Club"].get(map_idx["Club"][club], [])
                                        ~~~~~~~~~~~~~~~^^^^^^
KeyError: 'Fiorentina'

When using FIX_PLAYERS, it simply ignores a Fiorentina player. Fixing other players works though.

[Regista6]

Thank you so much for your interest!

Can you please share your club dataset and the SBC you are trying to solve?

I think the error is because your dataset doesn't have any players from Fiorentina.

[andrekaufman]

Sorry for the late reply. I have players from Fiorentina, and I verified that I entered 'Fiorentina' exactly as it was stated in the .csv dataset file exported with FC Enhancer.

The SBC I was trying to solve was this one: https://www.futbin.com/25/squad-building-challenge/ea/565/Fiorentina%20v%20Lombardia%20FC

I ended up solving it by including players from Lombardia FC, but perhaps there's something worth investigating here. My dataset has slightly changed since, but the underlying issue should still persist: https://files.catbox.moe/gm1qh8.csv

Again, I’m blown away by this tool, using CP-SAT solver for SBCs is nuts man! Quick question though: what’s the correct input for "Player Level: Min Silver"?

[Regista6]

Hi,

Apologies for the late reply. I actually was able to solve the SBC with your squad!

Probably there is some issue with the way you are setting the club constraint.

Here are the inputs:

Requirement	Input	Constraint
# of players from Fiorentina: Min 1 # of players from Lombardia FC: Min 1	CLUB = [["Fiorentina"], ["Lombardia FC"]] NUM_CLUB = [1,1] Total players from i^th list >= NUM_CLUB[i]	create_club_constraint
Leagues: Max 4	NUM_UNIQUE_LEAGUE = [4, "Max"] Leagues: Max / Min / Exactly X	create_unique_league_constraint
Same Club Count: Min 2	MIN_NUM_CLUB = 2 Same Club Count: Min X / Min X Players from the Same Club	create_min_club_constraint
Rare: Min 2	RARITY_2 = ["Rare"] NUM_RARITY_2 = [2] Total players from i^th Rarity / Color >= NUM_RARITY_2[i]	create_rarity_2_constraint
Squad Rating: Min 75	SQUAD_RATING = 75	create_squad_rating_constraint_3
Team Chemistry: Min 22	CHEMISTRY = 22
# of players in squad: 11	NUM_PLAYERS = 11

Player Level: Min Silver -> You can uncomment

df = df[df["Color"] != "Bronze"] # Can be used for constraints like Player Quality: Min Silver in preprocess_data_2 in main.py.

Please feel free to reach out if you any other questions!!