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Match_sample.py
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import dash_core_components as dcc
import dash_html_components as html
import dash_bootstrap_components as dbc
import dash_design_kit as ddk
import os
import pandas as pd
import Main_page
import Match_Score_Teble
from datetime import datetime, timedelta
main_path_data = os.path.abspath("./data")
############## CHART SCORE TABLES ###################################
chart_table = ddk.Card(style={'width':'-webkit-fill-available',
'margin':'10px', 'padding':'0',
'background-color': '#f9f9f91c'},
children=ddk.Block(width=100,
style={'justify-content': 'center',
'vertical-align': '-webkit-baseline-middle',
'height': '250px',
'width': '100%'}, children=[ddk.Logo(src='\\assets\\png\\charts.png',
style={
'max-height': '-webkit-fill-available',
'height': '-webkit-fill-available',
'width': '100%',
'text-align': 'left',
'padding': '0px', 'margin': '0',
'vertical-align': '-webkit-baseline-middle'})]))
########################## ONE MATCH CARD ##############################
def match_card(id):
all_cardsBD = pd.read_csv(main_path_data + '\\all_cards.csv')
id = id.replace("/", "")
df = all_cardsBD[(all_cardsBD['Mid'].isin([id]))]
time = df.iloc[0]['Mtime']
timer = df.iloc[0]['Mdate'] + ' ' + df.iloc[0]['Mtime']
print(timer)
server_time = datetime.now()
print(server_time)
timer = pd.to_datetime(timer)
server_time = (server_time + timedelta(hours=10))
server_time = pd.to_datetime(server_time)
diff = server_time - timer
if diff > pd.Timedelta(0):
My_player =dbc.Row(
style={'margin': '0', 'padding': '0',
'text-align': 'center',
'max-height': '50px', 'justify-content': 'center',
'height': '50px'},
children=html.A(
style={'text-align': 'center', 'justify-content': 'center'},
id={'type': 'video_btn',
'index': id},
# n_clicks=0,
children=[ddk.Logo(
src='../assets/png/play.png',
style={'text-align': 'center', 'justify-content': 'center',
'max-height': '-webkit-fill-available',
'padding': '0px', 'margin': '0',
'vertical-align': '-webkit-baseline-middle'})]))
else:
My_player = dbc.Row(
style={'margin': '0', 'padding': '0',
'text-align': 'center',
'max-height': '50px', 'justify-content': 'center',
'height': '50px'},
children=[])
############## HEAD CARD of MATCH ###################################
match_head = ddk.Card(style={'width': '-webkit-fill-available',
'min-height': '120px',
'margin': '10px',
'padding': '10px',
'background-color': '#f9f9f91c',
'text-align': '-webkit-center'}, children=[
dbc.Row(
# width=100,
style={'height': 'fit-content', 'justify-content': 'center'},
children=[html.H2(df.iloc[0]['Mtour'], style={'text-align': 'center',
'text-color': 'azure',
'margin': '0'})]),
dbc.Row(
# width=100,
style={'max-height': 'fit-content', 'justify-content': 'center','padding': '5px',},
children=[html.H6('{} {}'.format(df.iloc[0]['Mdate'], time[0:5]),
style={'text-align': 'center', 'margin': '0'})]),
dbc.Row(style={'text-align': 'center',
'margin': '0',
'padding': '0',
# 'width':'100%',
'justify-content': 'center'},
children=[
dbc.Col(
# width=40,
style={'width': '40%',
'max-height': 'fit-content',
'padding': '0',
# 'min-width':'fit-content',
'max-width':'40%'
},
children=dbc.Row(
style={'width': '100%',
'margin': '0',
# 'padding': '0',
# 'text-align': 'center',
'justify-content': 'center'
},
children=[
dbc.Col(
# width=70,
style={'width': '70%',
'justify-content': 'center',
'padding': '0',
# 'min-width':'fit-content'
},
children=[
dbc.Row(style={'margin': '0',
'padding': '0',
'justify-content': 'right'},
# width=100,
children=html.H2(df.iloc[0]['T1name'],
style={
'text-align': 'right', 'margin': '0'})),
dbc.Row(style={'margin': '0',
# 'padding': '0',
'justify-content': 'right'},
# width=100,
children=html.H6('{}, {}, {}, {}, {}'.format(df.iloc[0]['P11'],
df.iloc[0]['P12'],
df.iloc[0]['P13'],
df.iloc[0]['P14'],
df.iloc[0]['P15']),
style={
'text-align': 'right', 'margin': '0'}))]),
dbc.Col(
# width=30,
style={'width': '30%',
'max-height': '40px',
'padding': '0',
'max-width': 'fit-content',
# 'max-width': '40px',
# 'margin-left': '15px',
# 'min-width':'fit-content'
},
children=[
ddk.Logo(src=df.iloc[0]['T1logo'],
style={
'max-height': '40px',
'height': '40px',
# 'width': '40px',
'text-align': 'center',
'padding': '0px', 'margin': '0',
'vertical-align': '-webkit-baseline-middle'})
])])),
dbc.Col(
# width=20,
style={'width': '20%',
'max-height': 'fit-content',
'padding': '0',
'min-width':'fit-content',
'max-width':'20%'
},
children=[dbc.Row(
# width=100,
style={'margin': '0', 'padding': '0', 'justify-content': 'center' },
children=[html.H1('{} : {}'.format(df.iloc[0]['T1score'], df.iloc[0]['T2score']),
style={'text-align': 'center', 'font-size': '40px',
'margin': '0'})]),
My_player
]),
dbc.Col(
# width=40,
style={'width': '40%',
'max-height': 'fit-content',
'padding': '0',
# 'min-width':'fit-content',
'max-width':'40%'
},
children=dbc.Row(
style={
# 'width': '100%',
'margin': '0',
# 'margin': '0', 'padding': '0',
'justify-content': 'center', },
children=[
dbc.Col(
# width=30,
style={'max-height': '40px','width': '30%',
# 'margin': '0',
'padding': '0', 'max-width': 'fit-content',
# 'max-width': '40px', 'margin-right': '15px',
# 'min-width':'fit-content',
'justify-content': 'left'},
children=[
ddk.Logo(src=df.iloc[0]['T2logo'],
style={
'max-height': '40px',
'text-align': 'center',
'height': '40px',
# 'width': '40px',
'padding': '0px', 'margin': '0',
'vertical-align': '-webkit-baseline-middle'})
]),
dbc.Col(
# width=70,
style={'width': '70%',
'margin': '0',
# 'padding': '0',
},
children=[
dbc.Row(style={'margin': '0', 'padding': '0', 'justify-content': 'left'},
# width=100,
children=html.H2(df.iloc[0]['T2name'],
style={'text-align': 'left', 'margin': '0'})),
dbc.Row(style={'margin': '0', 'padding': '0', 'justify-content': 'left'},
# width=100,
children=html.H6('{}, {}, {}, {}, {}'.format(df.iloc[0]['P21'],
df.iloc[0]['P22'],
df.iloc[0]['P23'],
df.iloc[0]['P24'],
df.iloc[0]['P25']),
style={'text-align': 'left', 'margin': '0'})),
]),
]))])
])
################### TEAMS CARD of MATCH #################################
live_teams = ddk.Card(style={
# 'width': '-webkit-fill-available',
'margin': '10px',
'padding': '0',
'background-color': '#f9f9f91c'}, children=[
ddk.Block(width=100,
style={'height': 'fit-content', 'vertical-align': '-webkit-baseline-middle'},
children=[ddk.Block(width=40,
style={'height': 'fit-content','word-wrap': 'normal'},
children=dbc.Row(
style={'margin': '0px',
'padding': '0',
'text-align': 'center',
'justify-content': 'center'},
children=[
dbc.Col(
# width=20,
style={'width': '20%','padding': '0',
'height': 'fit-content','text-align': '-webkit-center'},
children=[
dbc.Row(
# width=100,
style={'margin': '0',
'max-height': '50px',
'height': '50px',
'width': 'fit-content',
'justify-content': 'center','text-align': '-webkit-center'},
children=[ddk.Logo(
src=df.iloc[0]['P11_photo'],
style={
'text-align': 'center',
'max-height': '50px',
'padding': '0px',
'margin': '0',
'vertical-align': '-webkit-baseline-middle'})]),
dbc.Row(
# width=100,
style={'margin': '0',
'max-width': '100px',
'height': 'fit-content',
'justify-content': 'center','text-align': '-webkit-center'},
children=[
html.H6(df.iloc[0]['P11'],
style={
'text-align': 'center',
'margin': '0'})]),
dbc.Row(
# width=100,
style={'margin': '0',
'max-width': '100px',
'height': 'fit-content',
'justify-content': 'center','text-align': '-webkit-center'},
children=[html.P(df.iloc[0]['P11_score'],
style={
'text-align': 'center',
'margin': '0'})])]),
dbc.Col(
# width=20,
style={'height': 'fit-content', 'padding': '0','width': '20%','text-align': '-webkit-center'},
children=[
dbc.Row(
# width=100,
style={'margin': '0',
'max-height': '50px',
'height': '50px',
'width': 'fit-content','text-align': '-webkit-center'},
children=[
ddk.Logo(
src=df.iloc[0]['P12_photo'],
style={
'text-align': 'center',
'max-height': '50px',
'padding': '0px',
'margin': '0',
'vertical-align': '-webkit-baseline-middle'})]),
dbc.Row(
# width=100,
style={'margin': '0',
'max-width': '100px',
'height': 'fit-content','text-align': '-webkit-center',
'justify-content': 'center'},
children=[
html.H6(
df.iloc[0]['P12'],
style={
'text-align': 'center',
'margin': '0'})]),
dbc.Row(
# width=100,
style={'margin': '0',
'max-width': '100px',
'height': 'fit-content','text-align': '-webkit-center',
'justify-content': 'center'},
children=[
html.P(
df.iloc[0]['P12_score'],
style={
'text-align': 'center',
'margin': '0'})])]),
dbc.Col(
# width=20,
style={
'height': 'fit-content', 'padding': '0','width':'20%','text-align': '-webkit-center'},
children=[
dbc.Row(
# width=100,
style={'margin': '0',
'max-height': '50px',
'height': '50px',
'width': 'fit-content'},
children=[
ddk.Logo(
src=df.iloc[0]['P13_photo'],
style={
'text-align': 'center',
'max-height': '50px',
'padding': '0px',
'margin': '0',
'vertical-align': '-webkit-baseline-middle'})]),
dbc.Row(
# width=100,
style={'margin': '0',
'max-width': '100px',
'height': 'fit-content','text-align': '-webkit-center',
'justify-content': 'center'},
children=[
html.H6(
df.iloc[0]['P13'],
style={
'text-align': 'center',
'margin': '0'})]),
dbc.Row(
# width=100,
style={'margin': '0',
'max-width': '100px',
'height': 'fit-content','text-align': '-webkit-center',
'justify-content': 'center'},
children=[
html.P(
df.iloc[0]['P13_score'],
style={
'text-align': 'center',
'margin': '0'})])]),
dbc.Col(
# width=20,
style={
'height': 'fit-content', 'padding': '0','width':'20%','text-align': '-webkit-center'},
children=[
dbc.Row(
# width=100,
style={'margin': '0',
'max-height': '50px',
'height': '50px',
'width': 'fit-content'},
children=[
ddk.Logo(
src=df.iloc[0]['P14_photo'],
style={
'text-align': 'center',
'max-height': '50px',
'padding': '0px',
'margin': '0',
'vertical-align': '-webkit-baseline-middle'})]),
dbc.Row(
# width=100,
style={'margin': '0',
'max-width': '100px',
'height': 'fit-content','text-align': '-webkit-center',
'justify-content': 'center'},
children=[
html.H6(
df.iloc[0]['P14'],
style={
'text-align': 'center',
'margin': '0'})]),
dbc.Row(
# width=100,
style={'margin': '0',
'max-width': '100px',
'height': 'fit-content','text-align': '-webkit-center',
'justify-content': 'center'},
children=[
html.P(
df.iloc[0]['P14_score'],
style={
'text-align': 'center',
'margin': '0'})])]),
dbc.Col(
# width=20,
style={
'height': 'fit-content', 'padding': '0','width':'20%','text-align': '-webkit-center'},
children=[dbc.Row(
# width=100,
style={'margin': '0',
'max-height': '50px',
'height': '50px',
'width': 'fit-content'},
children=[
ddk.Logo(
src=df.iloc[0]['P15_photo'],
style={
'text-align': 'center',
'max-height': '50px',
'padding': '0px',
'margin': '0',
'vertical-align': '-webkit-baseline-middle'})]),
dbc.Row(
# width=100,
style={'margin': '0',
'max-width': '100px',
'height': 'fit-content','text-align': '-webkit-center',
'justify-content': 'center'},
children=[
html.H6(
df.iloc[0]['P15'],
style={
'text-align': 'center',
'margin': '0'})]),
dbc.Row(
# width=100,
style={'margin': '0',
'max-width': '100px',
'height': 'fit-content','text-align': '-webkit-center',
'justify-content': 'center'},
children=[
html.P(
df.iloc[0]['P15_score'],
style={
'text-align': 'center',
'margin': '0'})])]), ])),
ddk.Block(width=20,
style={'height': '100px', 'vertical-align': '-webkit-baseline-middle',
'padding': '10px'},
children=[dbc.Row(
# width=100,
style={'height': '33%','padding': '0px', 'margin': '0'},
children=[dbc.Col(
# width=30,
style={
'height': 'fit-content','width': '30%',
'vertical-align': 'middle'},
children=[html.H6('{}'.format(df.iloc[0]['WR']), style={
'text-align': 'center',
'padding': '0px', 'margin': '0'})]),
dbc.Col(
# width=40,
style={'height': 'fit-content','width': '40%',
'vertical-align': 'middle'},
children=[html.H2('WR', style={
'text-align': 'center',
'padding': '0px', 'margin': '0'})]),
dbc.Col(
# width=30,
style={'height': 'fit-content','width': '30%',
'vertical-align': 'middle'},
children=[html.H6('{}'.format(df.iloc[0]['WR2']), style={
'text-align': 'center',
'padding': '0px', 'margin': '0'})])]),
dbc.Row(
# width=100,
style={'height': '33%','padding': '0px', 'margin': '0'}, children=[
dbc.Col(
# width=30,
style={'height': 'fit-content','width': '30%',
'vertical-align': 'middle'}, children=[
html.H6('{}'.format(df.iloc[0]['FB']), style={'text-align': 'center', 'padding': '0px',
'margin': '0'})]),
dbc.Col(
# width=40,
style={'height': 'fit-content','width': '40%',
'vertical-align': 'middle'}, children=[
html.H2('FB', style={'text-align': 'center', 'padding': '0px',
'margin': '0'})]),
dbc.Col(
# width=30,
style={'height': 'fit-content','width': '30%',
'vertical-align': 'middle'}, children=[
html.H6('{}'.format(df.iloc[0]['FB2']), style={'text-align': 'center', 'padding': '0px',
'margin': '0'})])]),
dbc.Row(
# width=100,
style={'height': '33%','padding': '0px', 'margin': '0'}, children=[
dbc.Col(
# width=30,
style={'height': 'fit-content','width': '30%',
'vertical-align': 'middle'}, children=[
html.H6('{}'.format(df.iloc[0]['F10']), style={'text-align': 'center', 'padding': '0px',
'margin': '0'})]),
dbc.Col(
# width=40,
style={'height': 'fit-content','width': '40%',
'vertical-align': 'middle'}, children=[
html.H2('F10', style={'text-align': 'center', 'padding': '0px',
'margin': '0'})]),
dbc.Col(
# width=30,
style={'height': 'fit-content','width': '30%',
'vertical-align': 'middle'}, children=[
html.H6('{}'.format(df.iloc[0]['F102']), style={'text-align': 'center', 'padding': '0px',
'margin': '0'})])])]),
ddk.Block(width=40,
style={'height': 'fit-content'},
children=dbc.Row(style={'margin': '0px',
'padding': '0',
'text-align': 'center',
'word-wrap': 'normal',
'justify-content': 'center'},
children=[
dbc.Col(
# width=20,
style={'width': '20%',
'height': 'fit-content','text-align': '-webkit-center'},
children=[
dbc.Row(
# width=100,
style={
'max-height': '50px',
'height': '50px',
'width': 'fit-content'},
children=[ddk.Logo(
src=df.iloc[0]['P21_photo'],
style={
'text-align': 'center',
'max-height': '50px',
'padding': '0px',
'margin': '0',
'vertical-align': '-webkit-baseline-middle',
'justify-content': 'center'})]),
dbc.Row(
# width=100,
style={
'max-width': '100px',
'height': 'fit-content','text-align': '-webkit-center',
'justify-content': 'center'},
children=[
html.H6(df.iloc[0]['P21'],
style={
'text-align': 'center',
'margin': '0'})]),
dbc.Row(
# width=100,
style={
'max-width': '100px',
'height': 'fit-content','text-align': '-webkit-center',
'justify-content': 'center'},
children=[html.P(df.iloc[0]['P21_score'],
style={
'text-align': 'center',
'margin': '0'})])]),
dbc.Col(
# width=20,
style={'width': '20%',
'height': 'fit-content','text-align': '-webkit-center'},
children=[dbc.Row(
# width=100,
style={
'max-height': '50px',
'height': '50px',
'width': 'fit-content'},
children=[
ddk.Logo(
src=df.iloc[0]['P22_photo'],
style={
'text-align': 'center',
'max-height': '50px',
'padding': '0px',
'margin': '0',
'vertical-align': '-webkit-baseline-middle',
'justify-content': 'center'})]),
dbc.Row(
# width=100,
style={
'max-width': '100px',
'height': 'fit-content','text-align': '-webkit-center',
'justify-content': 'center'},
children=[
html.H6(
df.iloc[0]['P22'],
style={
'text-align': 'center',
'margin': '0'})]),
dbc.Row(
# width=100,
style={
'max-width': '100px',
'height': 'fit-content','text-align': '-webkit-center',
'justify-content': 'center'},
children=[
html.P(
df.iloc[0]['P22_score'],
style={
'text-align': 'center',
'margin': '0'})])]),
dbc.Col(
# width=20,
style={'width': '20%',
'height': 'fit-content','text-align': '-webkit-center'},
children=[dbc.Row(
# width=100,
style={
'max-height': '50px',
'height': '50px',
'width': 'fit-content'},
children=[
ddk.Logo(
src=df.iloc[0]['P23_photo'],
style={
'text-align': 'center',
'max-height': '50px',
'padding': '0px',
'margin': '0',
'vertical-align': '-webkit-baseline-middle',
'justify-content': 'center'})]),
dbc.Row(
# width=100,
style={
'max-width': '100px',
'height': 'fit-content','text-align': '-webkit-center',
'justify-content': 'center'},
children=[
html.H6(
df.iloc[0]['P23'],
style={
'text-align': 'center',
'margin': '0'})]),
dbc.Row(
# width=100,
style={
'max-width': '100px',
'height': 'fit-content','text-align': '-webkit-center',
'justify-content': 'center'},
children=[
html.P(
df.iloc[0]['P23_score'],
style={
'text-align': 'center',
'margin': '0'})])]),
dbc.Col(
# width=20,
style={'width': '20%',
'height': 'fit-content','text-align': '-webkit-center'},
children=[dbc.Row(
# width=100,
style={
'max-height': '50px',
'height': '50px',
'width': 'fit-content'},
children=[
ddk.Logo(
src=df.iloc[0]['P24_photo'],
style={
'text-align': 'center',
'max-height': '50px',
'padding': '0px',
'margin': '0',
'vertical-align': '-webkit-baseline-middle',
'justify-content': 'center'})]),
dbc.Row(
# width=100,
style={
'max-width': '100px',
'height': 'fit-content','text-align': '-webkit-center',
'justify-content': 'center'},
children=[
html.H6(
df.iloc[0]['P24'],
style={
'text-align': 'center',
'margin': '0'})]),
dbc.Row(
# width=100,
style={
'max-width': '100px',
'height': 'fit-content','text-align': '-webkit-center',
'justify-content': 'center'},
children=[
html.P(
df.iloc[0]['P24_score'],
style={
'text-align': 'center',
'margin': '0'})])]),
dbc.Col(
# width=20,
style={'width': '20%',
'height': 'fit-content','text-align': '-webkit-center'},
children=[dbc.Row(
# width=100,
style={
'max-height': '50px',
'height': '50px',
'width': 'fit-content'},
children=[
ddk.Logo(
src=df.iloc[0]['P25_photo'],
style={
'text-align': 'center',
'max-height': '50px',
'padding': '0px',
'margin': '0',
'vertical-align': '-webkit-baseline-middle',
'justify-content': 'center'})]),
dbc.Row(
# width=100,
style={
'max-width': '100px',
'height': 'fit-content','text-align': '-webkit-center',
'justify-content': 'center'},
children=[
html.H6(
df.iloc[0]['P25'],
style={
'text-align': 'center',
'margin': '0'})]),
dbc.Row(
# width=100,
style={
'max-width': '100px',
'height': 'fit-content','text-align': '-webkit-center',
'justify-content': 'center'},
children=[
html.P(
df.iloc[0]['P24_score'],
style={
'text-align': 'center',
'margin': '0'})])]), ]))]),
])
############## H 2 H card items ###################################
def h2h():
all_h2hBD = pd.read_csv(main_path_data + '\\all_h2h.csv')
h2hdf = all_h2hBD[(all_h2hBD['Mid'].isin([id]))]
h2hdf = h2hdf.drop_duplicates(subset='H2H_date', keep="last")
shape = h2hdf.shape[0]
h2h = []
for ind in h2hdf.index:
head_list = dbc.ListGroupItem(style={'line-height': '1', 'margin': '0', 'margin-right': '0',
'height': '40px', 'justify-content': 'center',
'vertical-align': '-webkit-baseline-middle',
'max-height': 'fit-content', 'padding': '0px',
# 'background-color':'#0e4e70',
'list-style': 'none',
'align-items': 'center'},
children=dbc.Row(
# width=100,
style={'vertical-align': '-webkit-baseline-middle',
'height': '35px'}, children=[
dbc.Col(
# width=20,
style={'vertical-align': '-webkit-baseline-middle','width':'20%'},
children=[
html.H2(h2hdf['H2H_total_t1'][ind], style={
'vertical-align': '-webkit-baseline-middle',
'text-align': 'center', 'margin': '0'})]),
dbc.Col(
# width=60,
style={'vertical-align': '-webkit-baseline-middle','width':'60%'},
children=[html.H6(h2hdf['H2H_date'][ind], style={
'vertical-align': '-webkit-baseline-middle',
'text-align': 'center', 'margin': '0'})]),
dbc.Col(
# width=20,
style={'vertical-align': '-webkit-baseline-middle','width':'20%'},
children=[
html.H2(h2hdf['H2H_total_t2'][ind], style={
'vertical-align': '-webkit-baseline-middle',
'text-align': 'center', 'margin': '0'})])]))
h2h.append(head_list)
dfr = h2hdf[(h2hdf['H2H_total_t1'] == 2)]
dfr2 = h2hdf[(h2hdf['H2H_total_t2'] == 2)]
if dfr.shape[0] > 0:
www = h2hdf['H2H_total_t1'].value_counts()
else:
www = [[0], [0], [0]]
if dfr2.shape[0] > 0:
www2 = h2hdf['H2H_total_t2'].value_counts()
else:
www2 = [[0], [0], [0]]
return h2h, shape, www, www2
lhitem = h2h()
head_to_head = ddk.Card(style={'width': '-webkit-fill-available',
'margin': '10px',
'padding': '0',
'background-color': '#f9f9f91c'}, children=[
dbc.Row(
# width=100,
style={
'margin': '0',
'padding': '0'},
children=[dbc.Col(
# width=30,
style={'vertical-align': '-webkit-baseline-middle','width':'30%' },
children=[dbc.Row(
style={'justify-content': 'center'},
# width=100,
children=[
html.H6('Побед', style={'text-align': 'center', 'margin': '0'})]),
dbc.Row(
style={'justify-content': 'center'},
# width=100,
children=[html.H2(lhitem[2][2], style={
'text-align': 'center', 'margin': '0'})])]),
dbc.Col(
# (width=40,
style={'vertical-align': '-webkit-baseline-middle','width':'40%' },
children=[ddk.Card(shadow_weight='medium',
style={'background-color': 'transparent'},
children=[html.H2(lhitem[1],
style={'text-align': 'center',
'margin': '0'})])]),
dbc.Col(
# width=30,
style={'vertical-align': '-webkit-baseline-middle','width':'30%' },
children=[dbc.Row(
style={'justify-content': 'center'},
# width=100,
children=[
html.H6('Побед', style={'text-align': 'center', 'margin': '0'})]),
dbc.Row(
style={'justify-content': 'center'},
# width=100,
children=[html.H2(lhitem[3][2], style={
'text-align': 'center', 'margin': '0'})])])]),
ddk.Block(width=100, children=dbc.ListGroup(flush=True,
children=[i for i in lhitem[0]]))])
############## Total games card items ##############################
def totals():
all_t1BD = pd.read_csv(main_path_data + '\\all_t1.csv')
t1bd = all_t1BD[(all_t1BD['Mid'].isin([id]))]
t1bd = t1bd.drop_duplicates(subset='T1_last_date', keep="last")
t1bd = t1bd.reset_index(drop=True)
all_t2BD = pd.read_csv(main_path_data + '\\all_t2.csv')
t2bd = all_t2BD[(all_t2BD['Mid'].isin([id]))]
t2bd = t2bd.drop_duplicates(subset='T2_last_date', keep="last")
t2bd = t2bd.reset_index(drop=True)
ttt = []
# total = pd.concat([t1bd, t2bd.reindex(t1bd.index)], axis=1)
total = pd.concat([t1bd, t2bd], axis=1)
for ind in total.index:
if total['T1_last_total_main'][ind] > total['T1_last_total_vs'][ind]:
tr = '\\assets\\png\\w.png'
pass
else:
tr = '\\assets\\png\\l.png'
pass
if total['T2_last_total_main'][ind] > total['T2_last_total_vs'][ind]:
ty = '\\assets\\png\\w.png'
pass
else:
ty = '\\assets\\png\\l.png'
pass
stat_list = dbc.ListGroupItem(style={'line-height': '1', 'margin': '0', 'margin-right': '0',
'height': '40px', 'justify-content': 'center',
'vertical-align': '-webkit-baseline-middle',
'max-height': 'fit-content', 'padding': '0px',
# 'background-color':'#0e4e70',
'list-style': 'none',
'align-items': 'center'},
children=dbc.Row(
# width=100,
style={'vertical-align': '-webkit-baseline-middle',
'height': '35px','margin': '0','padding': '0','justify-content': 'center'},
children=[
dbc.Col(
# width=50,
style={'vertical-align': '-webkit-baseline-middle','width':'50%'},
children=dbc.Row(style={'margin': '0','padding': '0',},children=[
dbc.Col(
# width=25,
style={ 'max-width': '25%',
'max-height': '20px',
'height': '20px',
'width': 'fit-content'},
children=[ddk.Logo(
src=total['T1_last_logo'][ind],
style={
'text-align': 'center',
'max-height': '20px',
'padding': '0',
'margin': '0',
'vertical-align': '-webkit-baseline-middle'})]),
dbc.Col(
# width=25,
style={'width': 'fit-content', 'max-width': '25%'},
children=[html.H6('vs',
style={'text-align': 'center', 'margin': '0'})]),
dbc.Col(
# width=25,
style={'max-width': '25%',
'max-height': '20px',
'height': '20px',
'width': 'fit-content'},
children=[ddk.Logo(
src=df.iloc[0]['T1logo'],
style={
'text-align': 'center',
'max-height': '20px',
'padding': '0',
'margin': '0',
'vertical-align': '-webkit-baseline-middle'})]),
dbc.Col(
# width=25,
style={'max-width': '25%',
'max-height': '20px',
'height': '20px',
'width': 'fit-content'},