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score_bracket.py
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#!/usr/bin/env python3
import sys, getopt
import pyMadness
from collections import OrderedDict
import json
import pdb
import os.path
import pandas as pd
from datetime import datetime
import pyMadness
def CurrentStatsFile(filename):
stat = os.path.getmtime(filename)
stat_date = datetime.fromtimestamp(stat)
if stat_date.date() < datetime.now().date():
return False
return True
def RefreshStats():
import scrape_stats
def main(argv):
stat_file = "json/stats.json"
bracket_file = "json/bracket.json"
merge_file = "merge.xlsx"
output_file = "predict.xlsx"
input_file = "predict.xlsx"
test = False
verbose = False
try:
opts, args = getopt.getopt(argv, "hs:b:m:o:itv", ["help", "stat_file=", "bracket_file=", \
"merge_file=", "output_file=", "input_file=", "verbose", "test"])
except getopt.GetoptError as err:
print(err)
usage()
sys.exit(2)
output = None
for o, a in opts:
if o in ("-t", "--test"):
test = True
elif o in ("-v", "--verbose"):
verbose = True
elif o in ("-h", "--help"):
usage()
sys.exit
elif o in ("-s", "--stat_file"):
stat_file = a
elif o in ("-b", "--bracket_file"):
bracket_file = a
elif o in ("-m", "--merge_file"):
merge_file = a
elif o in ("-o", "--output_file"):
output_file = a
elif o in ("-i", "--input_file"):
input_file = a
else:
assert False, "unhandled option"
if (test):
testResult = pyMadness.Test(verbose)
if (testResult):
print ("Test result - pass")
else:
print ("Test result - fail")
else:
PredictTournament(stat_file, bracket_file, merge_file, input_file, output_file, verbose)
print ("{0} has been created.".format(output_file))
print ("done.")
def usage():
usage = """
-h --help Prints this help
-s --stat_file stats file (json file format)
-b --bracket_file bracket file (json file format)
-m --merge_file merge file (excel spreadsheet file format)
-i --input_file input file gets pick overrides (excel spreadsheet file format)
-o --output_file output file (excel spreadsheet file format)
-t --test runs test routine to check calculations
-v --verbose increase the information level
"""
print (usage)
def PredictTournament(stat_file, bracket_file, merge_file, input_file, output_file, verbose):
print ("Tournament Prediction Tool")
print ("**************************")
print ("Statistics file: {0}".format(stat_file))
if verbose:
print (" ")
print ("increased information level")
print ("Score Bracket Tool")
print ("**************************")
usage()
print ("**************************")
print ("Brackets file: {0}".format(bracket_file))
print ("Team Merge file: {0}".format(merge_file))
print ("Input file: {0}".format(input_file))
print ("Output file: {0}".format(output_file))
print ("**************************")
picks = []
if (os.path.exists(input_file)):
print("... retrieving prediction spreadsheet")
excel_df = pd.read_excel(input_file, sheet_name='Sheet1')
predict_json = json.loads(excel_df.to_json())
for x in range(len(predict_json["Index"])):
pick = predict_json["Pick"][str(x)]
sa = predict_json["ScoreA"][str(x)]
sb = predict_json["ScoreB"][str(x)]
idx = predict_json["Index"][str(x)]
if (sa >= sb and pick == "TeamB"):
picks.append([idx, pick])
else:
if (sa < sb and pick == "TeamA"):
picks.append([idx, pick])
if (len(picks) == 0):
print ("No pick Overrides")
elif (len(picks) == 1):
print ("Overriding one calculated pick")
else:
print ("Overriding {0} calculated pick(s)".format(len(picks)))
if (not os.path.exists(merge_file)):
print ("merge spreadsheet is missing, run the merge_teams tool to create")
exit()
dict_merge={}
excel_df = pd.read_excel(merge_file, sheet_name='Sheet1')
dict_merge = json.loads(excel_df.to_json())
if (not os.path.exists(bracket_file)):
print ("madness bracket is missing, run the scrape_bracket tool to create")
exit()
dict_bracket={}
with open(bracket_file) as bracket_file:
dict_bracket = json.load(bracket_file, object_pairs_hook=OrderedDict)
for itm in dict_bracket.values():
teama, teamb = pyMadness.FindMergeTeams(itm["TeamA"], itm["TeamB"], dict_merge)
itm["TeamA"] = teama
itm["TeamB"] = teamb
if (not CurrentStatsFile(stat_file)):
RefreshStats()
if (not os.path.exists(stat_file)):
print ("statistics file is missing, run the scrape_stats tool to create")
exit()
with open(stat_file) as stat_file:
dict_stats = json.load(stat_file, object_pairs_hook=OrderedDict)
dict_predict = []
dict_predict = LoadPredict(dict_predict, dict_bracket)
for rnd in range(0, 7):
dict_predict = PredictRound(rnd, dict_predict, verbose)
if rnd < 6:
dict_predict = PromoteRound(rnd, dict_predict, picks)
A=[]
B=[]
C=[]
D=[]
E=[]
F=[]
G=[]
H=[]
I=[]
J=[]
K=[]
IDX=[]
for item in dict_predict:
IDX.append(item[0])
A.append(item[1])
B.append(item[2])
C.append(item[3])
D.append(item[4])
E.append(item[5])
F.append(item[6])
G.append(item[7])
H.append(item[8])
I.append(item[9])
J.append(item[10])
K.append(item[11])
df=pd.DataFrame(IDX, columns=['Index'])
df['Index']=IDX
df['SeedA'] = A
df['TeamA'] = B
df['ChanceA'] = C
df['ScoreA'] = D
df['SeedB'] = E
df['TeamB'] = F
df['ChanceB'] = G
df['ScoreB'] = H
df['Region'] = I
df['Round'] = J
df['Pick'] = K
print ("... creating prediction spreadsheet")
writer = pd.ExcelWriter(output_file, engine="xlsxwriter")
df.to_excel(writer, sheet_name="Sheet1", index=False)
writer.close()
def LoadPredict(dict_predict, dict_bracket):
index = 0
for rnd in range(0, 7):
for item in dict_bracket:
index += 1
brk = dict_bracket[item]
if brk["Round"] == rnd:
if brk["Round"] <= 1:
dict_predict.append([brk["Index"], brk["SeedA"], brk["TeamA"], "?%", "?", \
brk["SeedB"], brk["TeamB"], "?%", "?", brk["Region"], brk["Round"], "?", \
brk["Next Match"], brk["Next Slot"]])
else:
dict_predict.append([brk["Index"], "?", "?", "?%", "?", "?", "?", "?%", "?", \
brk["Region"], brk["Round"], "?", brk["Next Match"], brk["Next Slot"]])
return dict_predict
def PredictRound(rnd, dict_predict, verbose):
index=0
for item in dict_predict:
idx = dict_predict[index][0]
if item[10] == rnd:
dict_score = pyMadness.Calculate(item[2], item[6], True, verbose)
if "scorea" in dict_score:
item[3] = dict_score["chancea"]
item[4] = dict_score["scorea"]
item[7] = dict_score["chanceb"]
item[8] = dict_score["scoreb"]
if (item[4] >= item[8]):
item[11] = "TeamA"
else:
item[11] = "TeamB"
index+=1
return dict_predict
def FindOverrides(i, p, orig):
pick = orig
for item in p:
if item[0] == i:
pick = item[1]
break
return pick
def PromoteRound(rnd, dict_predict, picks):
for item in dict_predict:
if rnd == item[10]:
index = item[12]
for promote in dict_predict:
if promote[0] == index:
override = FindOverrides(item[0], picks, item[11])
if override != item[11]:
print ("picking {0} in round {1} in match {2} ** {3} vs {4}" \
.format(override, item[10], item[0], item[2], item[6]))
item[11] = override
if item[11] == "TeamA":
if item[13] == 1: # slot
promote[1] = item[1]
promote[2] = item[2]
else:
promote[5] = item[1]
promote[6] = item[2]
else:
if item[13] == 1:
promote[1] = item[5]
promote[2] = item[6]
else:
promote[5] = item[5]
promote[6] = item[6]
return dict_predict
if __name__ == "__main__":
main(sys.argv[1:])