def RefreshScheduleFiles():
now = datetime.now()
year = int(now.year)
scrape_schedule.year = year
scrape_schedule.main(sys.argv[1:])
def PredictTournament(week, stat_file, merge_file, verbose):
now = datetime.now()
year = int(now.year)
week_path = "{0}{1}/".format(settings.predict_root, year)
sched_path = "{0}{1}/{2}".format(settings.predict_root, year,
settings.predict_sched)
saved_path = "{0}{1}/{2}".format(settings.predict_root, year,
settings.predict_saved)
weekly_files = GetSchedFiles(week_path, "week*.csv")
SaveOffFiles(saved_path, weekly_files)
for p in Path(week_path).glob("week*.csv"):
p.unlink()
if (not CurrentStatsFile(stat_file)):
RefreshStats()
schedule_files = GetSchedFiles(sched_path, "sched*.json")
if (not schedule_files):
scrape_schedule.year = now.year
scrape_schedule.main(sys.argv[1:])
schedule_files = GetSchedFiles(sched_path, "sched*.json")
if (not schedule_files):
print(
"schedule files are missing, run the scrape_schedule tool to create"
)
exit()
dict_merge = []
if (not os.path.exists(merge_file)):
print(
"master merge file is missing, run the combine_merge tool to create"
)
exit()
with open(merge_file) as mergefile:
dict_merge = json.load(mergefile, object_pairs_hook=OrderedDict)
if (not os.path.exists(stat_file)):
print(
"statistics file is missing, run the combine_stats tool to create")
exit()
with open(stat_file) as stats_file:
dict_stats = json.load(stats_file, object_pairs_hook=OrderedDict)
list_schedule = []
for file in schedule_files:
with open(file) as schedule_file:
item = json.load(schedule_file, object_pairs_hook=OrderedDict)
list_schedule.append(item)
weeks = GetWeekRange(week, list_schedule)
if (not "a" in week.lower().strip()):
idx = GetIndex(week)
if ((idx < 1) or (idx > len(schedule_files))):
week = "current"
print("Weekly Prediction Tool")
print("**************************")
print("Statistics file:\t{0}".format(stat_file))
print("Team Merge file:\t{0}".format(merge_file))
print("\trunning for Week: {0}".format(week))
print("\tDirectory Location: {0}".format(week_path))
print("**************************")
for idx in range(len(schedule_files)):
if (idx in weeks):
list_predict = []
list_predict.append([
"Index", "Year", "Date", "TeamA", "AbbrA", "ChanceA", "ScoreA",
"Spread", "TeamB", "AbbrB", "ChanceB", "ScoreB", "Exceptions"
])
index = 0
for item in list_schedule[idx].values():
teama, teamb = FindTeams(item["TeamA"], item["TeamB"],
dict_merge)
abbra, abbrb = FindAbbr(teama, teamb, dict_merge)
neutral = False
if (item["Home"].lower().strip() == "neutral"):
neutral = True
settings.exceptions = []
dict_score = pyBlitz.Calculate(teama, teamb, neutral, verbose)
errors = " "
if (settings.exceptions):
for itm in settings.exceptions:
errors += itm + ", "
errors = errors[:-2]
index += 1
if (len(dict_score) > 0):
list_predict.append([
str(index), item["Year"], item["Date"], item["TeamA"],
abbra, dict_score["chancea"], dict_score["scorea"],
dict_score["spread"], item["TeamB"], abbrb,
dict_score["chanceb"], dict_score["scoreb"], errors
])
else:
list_predict.append([
str(index), item["Year"], item["Date"], item["TeamA"],
abbra, "?", "?", "?", item["TeamB"], abbrb, "?", "?",
"Warning: cannot predict, both teams missing, fix the merge spreadsheets"
])
print(
"Warning: Neither {0} or {1} have been found, \n\t Suggest reviewing/fixing the merge spreadsheet(s) and re-run"
.format(item["TeamA"], item["TeamB"]))
Path(week_path).mkdir(parents=True, exist_ok=True)
output_file = "{0}week{1}.csv".format(
week_path, GetIndex(schedule_files[idx]))
SaveStats(output_file, week_path, stat_file)
predict_sheet = open(output_file, 'w', newline='')
csvwriter = csv.writer(predict_sheet)
for row in list_predict:
csvwriter.writerow(row)
predict_sheet.close()
print("{0} has been created.".format(output_file))
# How are we doing? Let's find Out!
file = "{0}results.json".format(saved_path)
if (os.path.exists(file)):
dict_results = []
last_week = GetIndex(week) - 1
with open(file) as results_file:
dict_results.append(
json.load(results_file, object_pairs_hook=OrderedDict))
if (len(dict_results) > 0):
for idx in range(len(dict_results)):
for item in dict_results[idx].values():
if (last_week > 0 and last_week == item["Week"]):
print(
"================================================="
)
print("For week{0}, winning percent was: {1}%".format(
last_week, item["Percent Correct"]))
print(
"================================================="
)
if (item["Week"] == 99):
print(
"================================================="
)
print("For this year so far, winning percent is: {0}%".
format(item["Percent Correct"]))
print(
"================================================="
)
print("done.")
now = datetime.datetime.now()
year = int(now.year)
lastyear = year - 1
path = "{0}{1}/{2}".format(settings.predict_root, lastyear,
settings.predict_sched)
file = '{0}merge.json'.format(settings.data_path)
if (not os.path.exists(file)):
print("merge.json file is missing, run the combine_merge tool to create")
exit()
with open(file) as merge_file:
dict_merge = json.load(merge_file, object_pairs_hook=OrderedDict)
scrape_schedule.year = lastyear
scrape_schedule.main(sys.argv[1:])
schedule_files = GetSchedFiles(path, "sched*.json")
if (not os.path.exists(schedule_files[0])):
print("schedule files are missing, run the scrape_schedule tool to create")
exit()
list_schedule = []
for file in schedule_files:
with open(file) as schedule_file:
list_schedule.append(
json.load(schedule_file, object_pairs_hook=OrderedDict))
AllAbbr = []
for idx in range(len(schedule_files)):
for item in list_schedule[idx].values():
abbrw, abbrl = GetSchedAbbr(item["Score"])
def RefreshSched(year):
scrape_schedule.year = year
scrape_schedule.main(sys.argv[1:])