/
parse_html_file.py
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/
parse_html_file.py
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'''
Parse the html file and save the stat into csv file
#########################################################################
The MIT License (MIT)
Copyright (c) 2014 Gary Lau
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
#########################################################################
'''
import common_lib
class list_of_team_stats():
listOfTeamStats = [['TEAM_NAME', 'WIN', 'LOSS', 'PCT', 'ROAD_WIN', 'HOME_LOSS']]
##############################
#class list_of_team_stats():
# listOfTeamStats = [['TEAM_NAME', 'WIN', 'LOSS', 'PCT', 'GAMES_BACK', 'CONFERENCE_WIN', 'CONFERENCE_LOSS', 'DIVISION_WIN', 'DIVISION_LOSS', 'HOME_WIN', 'HOME_LOSS', 'ROAD_WIN', 'ROAD_LOSS', 'LAST_10_WIN', 'LAST_10_LOSS', 'STREAK']]
def parse_td(data):
startPos = data.find('<td>')
endPos = data.__len__()
data = data[startPos:endPos]
startPos = data.find('>')
endPos = data.find('</td>')
varName = data[startPos:endPos]
varName = varName.replace('>', '')
startPos = endPos
endPos = data.__len__()
data = data[startPos:endPos]
return varName, data
# Get the values from html file and append it to existing list
def parse_html_file(data):
# Parsing through data.
startPos = data.find('<td class="team">')
endPos = data.__len__()
data = data[startPos:endPos]
startPos = data.find('<a href=')
endPos = data.__len__()
data = data[startPos:endPos]
# Get team name
startPos = data.find('/')
endPos = data.find('>')
teamName = data[startPos:endPos]
teamName = teamName.replace('/', '')
teamName = teamName.replace('"', '')
startPos = endPos
endPos = data.__len__()
data = data[startPos:endPos]
# Get number of wins
curTuple = parse_td(data)
data = curTuple[1]
win = curTuple[0]
# Get number of losses
curTuple = parse_td(data)
data = curTuple[1]
loss = curTuple[0]
# Get pct
curTuple = parse_td(data)
data = curTuple[1]
pct = curTuple[0]
# Get games back
curTuple = parse_td(data)
data = curTuple[1]
gamesBack = curTuple[0]
# Get conference win
curTuple = parse_td(data)
data = curTuple[1]
conf = curTuple[0]
startPos = 0
endPos = conf.find('-')
confWin = conf[startPos:endPos]
# Get conference loss
startPos = conf.find('-')
endPos = conf.__len__()
confLoss = conf[startPos:endPos]
confLoss = confLoss.replace('-', '')
# Get division win
curTuple = parse_td(data)
data = curTuple[1]
divi = curTuple[0]
startPos = 0
endPos = divi.find('-')
diviWin = divi[startPos:endPos]
# Get division loss
startPos = divi.find('-')
endPos = divi.__len__()
diviLoss = divi[startPos:endPos]
diviLoss = diviLoss.replace('-', '')
# Get home win
curTuple = parse_td(data)
data = curTuple[1]
home = curTuple[0]
startPos = 0
endPos = home.find('-')
homeWin = home[startPos:endPos]
# Get home loss
startPos = home.find('-')
endPos = home.__len__()
homeLoss = home[startPos:endPos]
homeLoss = homeLoss.replace('-', '')
# Get road win
curTuple = parse_td(data)
data = curTuple[1]
road = curTuple[0]
startPos = 0
endPos = road.find('-')
roadWin = road[startPos:endPos]
# Get road loss
startPos = road.find('-')
endPos = road.__len__()
roadLoss = road[startPos:endPos]
roadLoss = roadLoss.replace('-', '')
# Get last 10
curTuple = parse_td(data)
data = curTuple[1]
lastTen = curTuple[0]
startPos = 0
endPos = lastTen.find('-')
lastTenWin = lastTen[startPos:endPos]
# Get road loss
startPos = lastTen.find('-')
endPos = lastTen.__len__()
lastTenLoss = lastTen[startPos:endPos]
lastTenLoss = lastTenLoss.replace('-', '')
# Get streak
curTuple = parse_td(data)
data = curTuple[1]
streak = curTuple[0]
# Append data to list
list_of_team_stats.listOfTeamStats.append([teamName, win, loss, pct, gamesBack, confWin, confLoss, diviWin, diviLoss, homeWin, homeLoss, roadWin, roadLoss, lastTenWin, lastTenLoss, streak])
return data
##############################
# Cut off all other data except for the expanded standings
def get_all_expanded_standings(data):
startPos = data.find('id="all_expanded-standings"')
endPos = data.find('id="all_team-vs-team"')
data = data[startPos:endPos]
return data
def transitioning_through_parsing(data, endPos):
startPos = endPos
endPos = data.__len__()
data = data[startPos:endPos]
startPos = data.find('<td align="')
endPos = data.__len__()
data = data[startPos:endPos]
return data
# Get the values from html file and append it to existing list
def parse_data_get_true_pct(data):
startPos = data.find('<a href="/teams/')
endPos = data.__len__()
data = data[startPos:endPos]
# Get TEAM_NAME
startPos = data.find('>')
endPos = data.find('</a>')
teamName = data[startPos:endPos]
teamName = teamName.replace('>', '')
data = transitioning_through_parsing(data, endPos)
# Get WIN and LOSS
startPos = data.find('>')
endPos = data.find('</td>')
loss = data[startPos:endPos]
loss = loss.replace('>', '')
startPosA = 0
endPosA = loss.find('-')
win = loss[startPosA:endPosA]
startPosA = endPosA
endPosA = loss.__len__()
loss = loss[startPosA:endPosA]
loss = loss.replace('-','')
data = transitioning_through_parsing(data, endPos)
# Get PCT
pct = float(win) / ( float(win) + float(loss) )
pct = str(pct)
# Get HOME_LOSS
startPos = data.find('>')
endPos = data.find('</td>')
homeLoss = data[startPos:endPos]
startPosA = homeLoss.find('-')
endPosA = homeLoss.__len__()
homeLoss = homeLoss[startPosA:endPosA]
homeLoss = homeLoss.replace('-', '')
data = transitioning_through_parsing(data, endPos)
# Get ROAD_WIN
startPos = data.find('>')
endPos = data.find('</td>')
roadWin = data[startPos:endPos]
startPosA = 0
endPosA = roadWin.find('-')
roadWin = roadWin[startPosA:endPosA]
roadWin = roadWin.replace('>', '')
# Append data to list
list_of_team_stats.listOfTeamStats.append([teamName, win, loss, pct, roadWin, homeLoss])
return data
def start_main():
data = common_lib.open_file(common_lib.NBA_STANDING_HTML_FILE)
data = get_all_expanded_standings(data)
while data.find('<a href="/teams/') > 0:
data = parse_data_get_true_pct(data)
#########################
# while data.find('<td class="team">') > 0:
# data = parse_html_file(data)
#########################
thisList = common_lib.convert_list_into_str(list_of_team_stats.listOfTeamStats)
common_lib.write_file(thisList, common_lib.NBA_STANDING_CSV_FILE)
# Prints the run time of this program
def actual_run_time():
def new_function():
start_main()
from timeit import timeit
numSec = timeit(new_function, number=1)
from datetime import timedelta
seconds = timedelta(seconds=float(numSec))
name = common_lib.module_name() + '.py'
print('Actual run time on ' + name + ':', seconds)
def main():
actual_run_time()
main()