def main():
twitter_api = tweepy.API(setUpOAuth(), wait_on_rate_limit=True)
soccer_data = SoccerDataAPI()
epl = soccer_data.english_premier()
man_utd = [club for club in epl if club['team'] == "Manchester Utd"][0]
# calculate the % of matches played
man_utd['season_progress'] = round(
(int(man_utd['matches_played']) / 38) * 100, 1)
# file to store the update counter
filename = "update_counter.txt"
update_num = getUpdateNumber(filename)
points_diff = int(epl[0]['points']) - int(man_utd['points'])
tweet = constructTweet(man_utd, points_diff, update_num)
updateNumber(update_num + 1, filename)
try:
twitter_api.update_status(tweet)
print(tweet)
except tweepy.TweepError as e:
print(e.reason)
#!J:/WinPython/WPy64-3740/python-3.7.4.amd64/python
'''
The first line of the Python file indicates where Python is in the PC.
If Python application file is in the folder J:/WinPython/WPy64-3740/python-3.7.4.amd64 ,
the first line of Python script should be #!J:/WinPython/WPy64-3740/python-3.7.4.amd64/python
As this web project uses both PHP and Python, and running of Python file is initiated from a PHP file,
this is important.
'''
from soccer_data_api import SoccerDataAPI
import os
soccer_data = SoccerDataAPI()
if os.path.exists("txt_epl.txt"):
os.remove("txt_epl.txt")
f = open("txt_epl.txt", "a")
epl = soccer_data.english_premier()
for et in epl:
str1 = et['team'] + "," + et['pos'] + "," + et['points'] + "," + et[
'matches_played'] + "," + et['wins'] + "," + et['losses'] + "," + et[
'goals_for'] + "," + et['goal_diff'] + "\n"
f.write(str1)
f.close()
def update_league(league):
# Getting data
# soccer_data = SoccerDataAPI()
print(f'League Selected by user {league}')
soccer_data = SoccerDataAPI()
data = pd.DataFrame()
# Checking for each type of league dfata call
if league == "Premier League":
data = soccer_data.english_premier()
# df = pd.DataFrame(data)
elif league == "La Liga":
data = soccer_data.la_liga()
# df = pd.DataFrame(data)
elif league == "Serie A":
data = soccer_data.serie_a()
# df = pd.DataFrame(data)
elif league == "Ligue 1":
data = soccer_data.ligue_1()
# df = pd.DataFrame(data)
elif league == "Bundesliga":
data = soccer_data.bundesliga()
# df = pd.DataFrame(data)
# Setting up and converting df
df = pd.DataFrame(data)
# Reformatting data in table to be plotly friendly
cols2int = [
'pos',
'wins',
'losses',
'draws',
'losses',
'goals_for',
'goals_against',
'goal_diff',
]
for col in cols2int:
df[col] = df[col].astype(int)
# Adding top scorer goals
get_goals = lambda x: int(x['top_scorer'].split(' - ')[1])
df['top_scorer_goals'] = df.apply(get_goals, axis=1)
print(f'{league} data:\n', df)
# Seeting up scatter
f = px.scatter(df,
x="goal_diff",
y="points",
text='team',
title=league,
hover_data=['team', 'top_scorer'],
labels={
'goal_diff': 'Goal Differential',
'points': 'Points'
})
f.update_traces(textposition='middle right')
f.update_yaxes(autorange="reversed")
# Attack bar graph
a_bar = px.bar(df,
x='team',
y='goals_for',
title=f'{league} Attack',
labels={
'team': '',
'goals_for': 'Goals For'
})
# Defense Bar graph
d_bar = px.bar(df,
x='team',
y='goals_against',
title=f'{league} Defense',
labels={
'team': '',
'goals_against': 'Goals Against'
})
# Goal differential bar graph
diff_bar = px.bar(df,
x='team',
y='goal_diff',
title=f'{league} Goal Differential',
labels={
'team': '',
'goal_diff': 'Goal Differential'
})
s_bar = px.bar(df,
x='top_scorer',
y='top_scorer_goals',
title=f'{league} Top Scorers',
hover_data=['team', 'top_scorer'],
labels={
'top_scorer': 'Player',
'top_scorer_goals': 'Goals'
})
# Goal Diff Bar Graph
return f, a_bar, d_bar, diff_bar, s_bar