import streamlit as st import pandas as pd import numpy as np import os import time import matplotlib.pyplot as plt import random import json import csv from extra_streamlit_components import tab_bar, TabBarItemData import matplotlib.pyplot as plt from datetime import datetime import tracemalloc from translate_app import tr title = "Jouez avec nous !" sidebar_name = "Jeu" dataPath = st.session_state.DataPath @st.cache_data def init_game(): new = int(time.time()) sentence_test = pd.read_csv(dataPath+'/multilingue/sentence_test_extract.csv') sentence_test = sentence_test[4750:] # Lisez le contenu du fichier JSON with open(dataPath+'/multilingue/lan_to_language.json', 'r') as fichier: lan_to_language = json.load(fichier) t_now = time.time() return sentence_test, lan_to_language, new, t_now def find_indice(sent_selected): l = list(lan_to_language.keys()) for i in range(len(l)): if l[i] == sentence_test['lan_code'].iloc[sent_selected]: return i @st.cache_data def set_game(new): nb_st = len(sentence_test) sent_sel = [] # Utilisez une boucle pour générer 5 nombres aléatoires différents while len(sent_sel) < 5: nombre = random.randint(0, nb_st) if nombre not in sent_sel: sent_sel.append(nombre) rep_possibles=[] for i in range(5): rep_possibles.append([find_indice(sent_sel[i])]) while len(rep_possibles[i]) < 5: rep_possible = random.randint(0, 95) if rep_possible not in rep_possibles[i]: rep_possibles[i].append(rep_possible) random.shuffle(rep_possibles[i]) return sent_sel, rep_possibles, new def calc_score(n_rep,duration): if n_rep==0: return 0 s1 = n_rep*200 if duration < 60: s2 = (60-duration)*200/60 if n_rep==5: s2 *= 2.5 else: s2 = max(-(duration-60)*100/60,-100) s = int(s1+s2) return s def read_leaderboard(): return pd.read_csv(dataPath+'/game_leaderboard.csv', index_col=False,encoding='utf8') def write_leaderboard(lb): lb['Nom'] = lb['Nom'].astype(str) lb['Rang'] = lb['Rang'].astype(int) lb.to_csv(path_or_buf=dataPath+'/game_leaderboard.csv',columns=['Rang','Nom','Score','Timestamp','BR','Duree'],index=False, header=True,encoding='utf8') def display_leaderboard(): lb = read_leaderboard() st.write("**"+tr("Leaderboard")+" :**") list_champ = """ | Rang | Nom | Score | |------|------------|-------|""" if len(lb)>0: for i in range(len(lb)): list_champ += """ | """+str(lb['Rang'].iloc[i])+""" | """+str(lb['Nom'].iloc[i])[:9]+""" | """+str(lb['Score'].iloc[i])+""" |""" st.markdown(list_champ, unsafe_allow_html=True ) return lb def write_log(TS,Nom,Score,BR,Duree): log = pd.read_csv(dataPath+'/game_log.csv', index_col=False,encoding='utf8') date_heure = datetime.fromtimestamp(TS) Date = date_heure.strftime('%Y-%m-%d %H:%M:%S') log = pd.concat([log, pd.DataFrame(data={'Date':[Date], 'Nom':[Nom],'Score':[Score],'BR':[BR],'Duree':[Duree]})], ignore_index=True) log.to_csv(path_or_buf=dataPath+'/game_log.csv',columns=['Date','Nom','Score','BR','Duree'],index=False, header=True,encoding='utf8') def display_files(): log = pd.read_csv(dataPath+'/game_log.csv', index_col=False,encoding='utf8') lb = pd.read_csv(dataPath+'/game_leaderboard.csv', index_col=False,encoding='utf8') st.dataframe(lb) st.dataframe(log) def run(): global sentence_test, lan_to_language sentence_test, lan_to_language, new, t_debut = init_game() st.write("") st.title(tr(title)) st.write("#### **"+tr("Etes vous un expert es Langues ?")+"**\n") st.markdown(tr( """ Essayer de trouvez, sans aide, la langue des 5 phrases suivantes. Attention : Vous devez être le plus rapide possible ! """), unsafe_allow_html=True ) st.write("") player_name = st.text_input(tr("Quel est votre nom ?")) if player_name == 'display_files': display_files() return elif player_name == 'malloc_start': tracemalloc.start() return elif player_name == 'malloc_stop': snapshot = tracemalloc.take_snapshot() top_stats = snapshot.statistics('traceback') # pick the biggest memory block for k in range(3): stat = top_stats[k] print("%s memory blocks: %.1f KiB" % (stat.count, stat.size / 1024)) for line in stat.traceback.format(): print(' >'+line) total_mem = sum(stat.size for stat in top_stats) print("Total allocated size: %.1f KiB" % (total_mem / 1024)) return score = 0 col1, col2 = st.columns([0.7,0.3]) with col2: lb = display_leaderboard() with col1: sent_sel, rep_possibles, new = set_game(new) answer = [""] * 5 l = list(lan_to_language.values()) for i in range(5): answer[i] = st.radio("**:blue["+sentence_test['sentence'].iloc[sent_sel[i]]+"]**\n",[l[rep_possibles[i][0]],l[rep_possibles[i][1]],l[rep_possibles[i][2]], \ l[rep_possibles[i][3]],l[rep_possibles[i][4]]], horizontal=True, key=i) t_previous_debut = t_debut t_debut = time.time() if st.button(label=tr("Valider"), type="primary"): st.cache_data.clear() nb_bonnes_reponses = 0 for i in range(5): if lan_to_language[sentence_test['lan_code'].iloc[sent_sel[i]]]==answer[i]: nb_bonnes_reponses +=1 t_fin = time.time() duration = t_fin - t_previous_debut score = calc_score(nb_bonnes_reponses,duration) write_log(time.time(),player_name,score,nb_bonnes_reponses,duration) if nb_bonnes_reponses >=4: st.write(":red[**"+tr("Félicitations, vous avez "+str(nb_bonnes_reponses)+" bonnes réponses !")+"**]") st.write(":red["+tr("Votre score est de "+str(score)+" points")+"]") else: if nb_bonnes_reponses >1 : s="s" else: s="" st.write("**:red["+tr("Vous avez "+str(nb_bonnes_reponses)+" bonne"+s+" réponse"+s+".")+"]**") if nb_bonnes_reponses >0 : s="s" else: s="" st.write(":red["+tr("Votre score est de "+str(score)+" point"+s)+"]") st.write(tr("Bonne réponses")+":") for i in range(5): st.write("- "+sentence_test['sentence'].iloc[sent_sel[i]]+" -> :blue[**"+lan_to_language[sentence_test['lan_code'].iloc[sent_sel[i]]]+"**]") new = int(time.time()) st.button(label=tr("Play again ?"), type="primary") with col2: now = time.time() # Si le score du dernier est plus vieux d'une semaine, il est remplacé par un score + récent renew_old = ((len(lb)>9) and (lb['Timestamp'].iloc[9])<(now-604800)) if (score>0) and ((((score >= lb['Score'].min()) and (len(lb)>9)) or (len(lb)<=9)) or (pd.isna(lb['Score'].min())) or renew_old): if player_name not in lb['Nom'].tolist(): if (((score >= lb['Score'].min()) and (len(lb)>9)) or (len(lb)<=9)) or (pd.isna(lb['Score'].min())) : lb = pd.concat([lb, pd.DataFrame(data={'Nom':[player_name],'Score':[score],'Timestamp':[now],'BR':[nb_bonnes_reponses],'Duree':[duration]})], ignore_index=True) lb = lb.sort_values(by=['Score', 'Timestamp'], ascending=[False, False]).reset_index() lb = lb.drop(lb.index[10:]) else: st.write('2:',player_name) lb['Nom'].iloc[9]= player_name lb['Score'].iloc[9]= score lb['Timestamp'].iloc[9]=now lb['BR'].iloc[9]=nb_bonnes_reponses lb['Duree'].iloc[9]=duration lb = lb.reset_index() else: liste_Nom = lb['Nom'].tolist() for i,player in enumerate(liste_Nom): if player == player_name: if lb['Score'].iloc[i] < score: lb['Score'].iloc[i] = score lb['Timestamp'].iloc[i]=now lb = lb.sort_values(by=['Score', 'Timestamp'], ascending=[False, False]).reset_index() for i in range(len(lb)): if (i>0): if (lb['Score'].iloc[i]==lb['Score'].iloc[i-1]): lb['Rang'].iloc[i] = lb['Rang'].iloc[i-1] else: lb['Rang'].iloc[i] = i+1 else: lb['Rang'].iloc[i] = i+1 if player_name !="": write_leaderboard(lb) return