def best_matches_combine_cashback_une_selection_perdante(site, cote_minimale_selection, combi_max=0,
nb_matches=2, date_max=None, time_max=None,
date_min=None, time_min=None):
"""
Calcule la meilleure combinaison de matches et les mises à jouer pour une promotion du type
"Combiné remboursé si une seule selection perdante, sans limite du nombre de paris remboursés"
"""
sport = "football"
bet = 10000
all_odds = sportsbetting.ODDS[sport]
sportsbetting.ALL_ODDS_COMBINE = {}
for combine in combinations(all_odds.items(), nb_matches):
try:
if all([odd >= cote_minimale_selection for odds in list(all_odds[match[0]]["odds"][site]
for match in combine)
for odd in odds]):
(sportsbetting
.ALL_ODDS_COMBINE[" / "
.join([match[0]
for match
in combine])]) = cotes_combine_all_sites(*[match[1]
for match
in combine])
except KeyError:
pass
odds_function = lambda best_odds, odds_site, i: list(
map(lambda x: x * (1 + combi_max) - combi_max,
odds_site))
profit_function = lambda odds_to_check, i: gain(odds_to_check, bet) - bet
criteria = lambda odds_to_check, i: (odds_to_check[i] + combi_max) / (1 + combi_max) >= 1.1
display_function = lambda x, i: mises(x, bet, True)
return_function = lambda x, i: mises(x, bet, False)
best_match_base(odds_function, profit_function, criteria, display_function,
return_function, site, sport, date_max, time_max, date_min,
time_min, True, nb_matches, one_site=True, recalcul=True)
def best_matches_combine(site,
minimum_odd,
bet,
sport="football",
nb_matches=2,
one_site=False,
date_max=None,
time_max=None,
date_min=None,
time_min=None,
minimum_odd_selection=1.01):
"""
Retourne les meilleurs matches sur lesquels miser lorsqu'on doit miser une somme
donnée à une cote donnée sur un combiné
"""
all_odds = filter_dict_dates(sportsbetting.ODDS[sport], date_max, time_max,
date_min, time_min)
all_odds = filter_dict_minimum_odd(all_odds, minimum_odd_selection, site)
sportsbetting.ALL_ODDS_COMBINE = {}
nb_combine = binomial(len(all_odds), nb_matches)
sportsbetting.PROGRESS = 0
def compute_all_odds_combine(nb_combine, combine):
sportsbetting.PROGRESS += 100 / nb_combine
try:
sportsbetting.ALL_ODDS_COMBINE[" / ".join([
match[0] for match in combine
])] = cotes_combine_all_sites(*[match[1] for match in combine])
except KeyError:
pass
ThreadPool(4).map(lambda x: compute_all_odds_combine(nb_combine, x),
combinations(all_odds.items(), nb_matches))
sportsbetting.PROGRESS = 0
odds_function = get_best_odds(one_site)
profit_function = get_profit(bet, one_site)
criteria = lambda odds_to_check, i: (
(not one_site and odds_to_check[i] >= minimum_odd) or
(one_site and all(odd >= minimum_odd for odd in odds_to_check)))
display_function = lambda best_overall_odds, best_rank: (
mises2(best_overall_odds, bet, best_rank, True)
if not one_site else mises(best_overall_odds, bet, True))
result_function = lambda best_overall_odds, best_rank: (
mises2(best_overall_odds, bet, best_rank, False)
if not one_site else mises(best_overall_odds, bet, False))
best_match_base(odds_function,
profit_function,
criteria,
display_function,
result_function,
site,
sport,
date_max,
time_max,
date_min,
time_min,
True,
nb_matches,
one_site=one_site,
combine_opt=True)
def best_match_under_conditions(site, minimum_odd, bet, sport="football", date_max=None,
time_max=None, date_min=None, time_min=None, one_site=False,
live=False):
"""
Retourne le meilleur match sur lequel miser lorsqu'on doit miser une somme
donnée à une cote donnée. Cette somme peut-être sur seulement une issue
(one_site=False) ou bien répartie sur plusieurs issues d'un même match
(one_site=True), auquel cas, chacune des cotes du match doivent respecter le
critère de cote minimale.
"""
odds_function = lambda best_odds, odds_site, i: ((best_odds[:i]
+ [odds_site[i] * 0.9 if live else odds_site[
i]]
+ best_odds[i + 1:]) if not one_site
else (odds_site[:i]
+ [odds_site[i] * 0.9 if live
else odds_site[i]]
+ odds_site[i + 1:]))
profit_function = lambda odds_to_check, i: (gain(odds_to_check, bet) - bet if one_site
else gain2(odds_to_check, i, bet))
criteria = lambda odds_to_check, i: ((not one_site and odds_to_check[i] >= minimum_odd)
or (one_site and all(odd >= minimum_odd
for odd in odds_to_check)))
display_function = lambda best_overall_odds, best_rank: (mises2(best_overall_odds, bet,
best_rank, True) if not one_site
else mises(best_overall_odds, bet,
True))
result_function = lambda best_overall_odds, best_rank: (mises2(best_overall_odds, bet,
best_rank, False) if not one_site
else mises(best_overall_odds, bet,
False))
best_match_base(odds_function, profit_function, criteria, display_function,
result_function, site, sport, date_max, time_max, date_min,
time_min, one_site=one_site)
def best_matches_combine(site,
minimum_odd,
bet,
sport="football",
nb_matches=2,
one_site=False,
date_max=None,
time_max=None,
date_min=None,
time_min=None,
minimum_odd_selection=1.01):
"""
Retourne les meilleurs matches sur lesquels miser lorsqu'on doit miser une somme
donnée à une cote donnée sur un combiné
"""
all_odds = filter_dict_dates(sportsbetting.ODDS[sport], date_max, time_max,
date_min, time_min)
sportsbetting.ALL_ODDS_COMBINE = {}
for combine in combinations(all_odds.items(), nb_matches):
try:
if all([
odd >= minimum_odd_selection for odds in list(
all_odds[match[0]]["odds"][site] for match in combine)
for odd in odds
]):
(sportsbetting.ALL_ODDS_COMBINE[" / ".join([
match[0] for match in combine
])]) = cotes_combine_all_sites(
*[match[1] for match in combine])
except KeyError:
pass
odds_function = lambda best_odds, odds_site, i: (
(best_odds[:i] + [odds_site[i]] + best_odds[i + 1:])
if not one_site else odds_site)
profit_function = lambda odds_to_check, i: (gain(odds_to_check, bet) - bet
if one_site else gain2(
odds_to_check, i, bet))
criteria = lambda odds_to_check, i: (
(not one_site and odds_to_check[i] >= minimum_odd) or
(one_site and all(odd >= minimum_odd for odd in odds_to_check)))
display_function = lambda best_overall_odds, best_rank: (
mises2(best_overall_odds, bet, best_rank, True)
if not one_site else mises(best_overall_odds, bet, True))
result_function = lambda best_overall_odds, best_rank: (
mises2(best_overall_odds, bet, best_rank, False)
if not one_site else mises(best_overall_odds, bet, False))
best_match_base(odds_function,
profit_function,
criteria,
display_function,
result_function,
site,
sport,
date_max,
time_max,
date_min,
time_min,
True,
nb_matches,
one_site=one_site)
def best_matches_freebet_one_site(site,
freebet,
sport="football",
nb_matches=2,
minimum_odd=1.1,
date_max=None,
time_max=None,
date_min=None,
time_min=None):
"""
Calcule la répartition des paris gratuits sur un unique site
"""
all_odds = sportsbetting.ODDS[sport]
sportsbetting.ALL_ODDS_COMBINE = {}
for combine in combinations(all_odds.items(), nb_matches):
(sportsbetting.ALL_ODDS_COMBINE[" / ".join([
match[0] for match in combine
])]) = cotes_combine_all_sites(*[match[1] for match in combine])
odds_function = lambda best_odds, odds_site, i: cotes_freebet(odds_site)
profit_function = lambda odds_to_check, i: gain(odds_to_check, freebet
) - freebet
criteria = lambda odds_to_check, i: all(odd >= minimum_odd
for odd in odds_to_check)
display_function = lambda best_overall_odds, best_rank: mises(
best_overall_odds, freebet, True)
result_function = lambda best_overall_odds, best_rank: mises(
best_overall_odds, freebet, False)
best_match_base(odds_function,
profit_function,
criteria,
display_function,
result_function,
site,
sport,
date_max,
time_max,
date_min,
time_min,
True,
nb_matches,
True,
one_site=True)
def compute_odds(window, values):
try:
sport = values["SPORT_ODDS"][0]
stake = float(values["STAKE_ODDS"])
match = values["MATCHES_ODDS"][0]
_, bookmakers, best_odds = trj_match(sb.ODDS[sport][match])
except (ValueError, IndexError) as _:
return
if values["OUTCOME_ODDS_SPLIT_STAKE"]:
old_stdout = sys.stdout # Memorize the default stdout stream
sys.stdout = buffer = io.StringIO()
mises(best_odds, stake, True)
sys.stdout = old_stdout # Put the old stream back in place
what_was_printed = buffer.getvalue()
profit = float(what_was_printed.split("\n")[4].split(' = ')[1])
stakes = eval(what_was_printed.split("\n")[5].split(' = ')[1])
else:
outcomes = ["1", "2"]
if get_nb_outcomes(sport) == 3:
outcomes.insert(1, "N")
outcome = 0
for i, outcome_i in enumerate(outcomes):
if values["OUTCOME_ODDS_"+outcome_i]:
outcome = i
break
old_stdout = sys.stdout # Memorize the default stdout stream
sys.stdout = buffer = io.StringIO()
mises2(best_odds, stake, outcome, True)
sys.stdout = old_stdout # Put the old stream back in place
what_was_printed = buffer.getvalue()
profit = float(what_was_printed.split("\n")[5].split(' = ')[1])
stakes = eval(what_was_printed.split("\n")[6].split(' = ')[1])
teams = match.split(" - ")
if get_nb_outcomes(sport) == 3:
teams.insert(1, "Nul")
totals = [round(stake_i * odd_i, 2) for stake_i, odd_i in zip(stakes, best_odds)]
table = {"Issue": teams, "Bookmaker": bookmakers, "Cote": best_odds, "Mise": stakes, "Total": totals}
text = tabulate.tabulate(table, headers='keys', tablefmt='fancy_grid')
window["RESULT_ODDS"].update(text + "\nPlus-value : {}".format(profit), visible=True)
if sys.platform.startswith("win"):
copy_to_clipboard(text)
def best_match_base(odds_function,
profit_function,
criteria,
display_function,
result_function,
site,
sport="football",
date_max=None,
time_max=None,
date_min=None,
time_min=None,
combine=False,
nb_matches_combine=2,
freebet=False,
one_site=False,
recalcul=False,
combine_opt=False):
"""
Fonction de base de détermination du meilleur match sur lequel parier en
fonction de critères donnés
"""
try:
if combine:
all_odds = filter_dict_dates(sportsbetting.ALL_ODDS_COMBINE,
date_max, time_max, date_min,
time_min)
else:
all_odds = filter_dict_dates(sportsbetting.ODDS[sport], date_max,
time_max, date_min, time_min)
except NameError:
print("""
Merci de définir les côtes de base, appelez la fonction parse_football,
parse_nba ou parse_tennis selon vos besoins""")
return
best_profit = -float("inf")
best_rank = 0
if combine:
n = (2 + (sport not in ["tennis", "volleyball", "basketball", "nba"
]))**nb_matches_combine
else:
n = 2 + (sport not in ["tennis", "volleyball", "basketball", "nba"])
best_match = None
best_overall_odds = None
sites = None
for match in all_odds:
if site in all_odds[match]['odds']:
odds_site = all_odds[match]['odds'][site]
best_odds = copy.deepcopy(odds_site)
best_sites = [site for _ in range(n)]
if not one_site:
for odds in all_odds[match]['odds'].items():
for i in range(n):
if odds[1][i] > best_odds[i] and (odds[1][i] >= 1.1
or odds[0] == "pmu"):
best_odds[i] = odds[1][i]
best_sites[i] = odds[0]
for odd_i, site_i in zip(best_odds, best_sites):
if odd_i < 1.1 and site_i != "pmu":
break
else:
for i in range(n):
try:
odds_to_check = odds_function(best_odds, odds_site, i)
if criteria(odds_to_check, i):
profit = profit_function(odds_to_check, i)
if profit > best_profit:
best_rank = i
best_profit = profit
best_match = match
best_overall_odds = odds_to_check
sites = best_sites[:i] + [
site
] + best_sites[i + 1:]
except ZeroDivisionError: # Si calcul freebet avec cote de 1
pass
if best_match:
if combine_opt and combine:
ref_combinaison = list(
reversed(baseconvert.base(best_rank, 10,
get_nb_issues(sport))))
n_combi = len(ref_combinaison)
for _ in range(nb_matches_combine - n_combi):
ref_combinaison.append(0)
stakes = result_function(best_overall_odds, best_rank)
best_combine_reduit(best_match.split(" / "),
list(reversed(ref_combinaison)), site,
stakes[best_rank], sport)
else:
print(best_match)
pprint(all_odds[best_match], compact=True)
if recalcul:
sum_almost_won = find_almost_won_matches(
best_match, result_function(best_overall_odds, best_rank),
sport)
display_function = lambda x, y: mises(
x, 10000 * 50 / sum_almost_won, True)
result_function = lambda x, y: mises(
x, 10000 * 50 / sum_almost_won, False)
find_almost_won_matches(
best_match, result_function(best_overall_odds, best_rank),
sport, True)
second_rank = display_function(best_overall_odds, best_rank)
afficher_mises_combine(
best_match.split(" / "), [sites],
[result_function(best_overall_odds, best_rank)],
all_odds[best_match]["odds"], sport,
best_rank if freebet else None, one_site and freebet,
best_overall_odds, second_rank)
else:
print("No match found")
def best_match_base(odds_function,
profit_function,
criteria,
display_function,
result_function,
site,
sport="football",
date_max=None,
time_max=None,
date_min=None,
time_min=None,
combine=False,
nb_matches_combine=2,
freebet=False,
one_site=False,
recalcul=False):
"""
Fonction de base de détermination du meilleur match sur lequel parier en
fonction de critères donnés
"""
try:
if combine:
all_odds = sportsbetting.ALL_ODDS_COMBINE
else:
all_odds = sportsbetting.ODDS[sport]
except NameError:
print("""
Merci de définir les côtes de base, appelez la fonction parse_football,
parse_nba ou parse_tennis selon vos besoins""")
return
best_profit = -float("inf")
best_rank = 0
hour_max, minute_max = 0, 0
hour_min, minute_min = 0, 0
if combine:
n = (2 + (sport not in ["tennis", "volleyball", "basketball", "nba"
]))**nb_matches_combine
else:
n = 2 + (sport not in ["tennis", "volleyball", "basketball", "nba"])
if time_max:
if time_max[-1] == 'h':
hour_max = int(time_max[:-1])
else:
hour_max, minute_max = (int(_) for _ in time_max.split('h'))
if date_max:
day_max, month_max, year_max = (int(_) for _ in date_max.split('/'))
datetime_max = datetime.datetime(year_max, month_max, day_max,
hour_max, minute_max)
else:
datetime_max = None
if time_min:
if time_min[-1] == 'h':
hour_min = int(time_min[:-1])
else:
hour_min, minute_min = (int(_) for _ in time_min.split('h'))
if date_min:
day_min, month_min, year_min = (int(_) for _ in date_min.split('/'))
datetime_min = datetime.datetime(year_min, month_min, day_min,
hour_min, minute_min)
else:
datetime_min = None
for match in all_odds:
if (site in all_odds[match]['odds']
and (not date_max or all_odds[match]['date'] <= datetime_max
or all_odds[match]['date'] == "undefined")
and (not date_min or all_odds[match]['date'] >= datetime_min
or all_odds[match]['date'] == "undefined")):
odds_site = all_odds[match]['odds'][site]
best_odds = copy.deepcopy(odds_site)
best_sites = [site for _ in range(n)]
if not one_site:
for odds in all_odds[match]['odds'].items():
for i in range(n):
if odds[1][i] > best_odds[i] and (odds[1][i] >= 1.1
or odds[0] == "pmu"):
best_odds[i] = odds[1][i]
best_sites[i] = odds[0]
for odd_i, site_i in zip(best_odds, best_sites):
if (odd_i < 1.1 and site_i != "pmu"):
break
else:
for i in range(n):
try:
odds_to_check = odds_function(best_odds, odds_site, i)
if criteria(odds_to_check, i):
profit = profit_function(odds_to_check, i)
if profit > best_profit:
best_rank = i
best_profit = profit
best_match = match
best_overall_odds = odds_to_check
sites = best_sites[:i] + [
site
] + best_sites[i + 1:]
except ZeroDivisionError: #Si calcul freebet avec cote de 1
pass
try:
print(best_match)
pprint(all_odds[best_match], compact=True)
if recalcul:
sum_almost_won = find_almost_won_matches(
best_match, result_function(best_overall_odds, best_rank),
sport)
display_function = lambda x, i: mises(x, 10000 * 50 /
sum_almost_won, True)
result_function = lambda x, i: mises(x, 10000 * 50 /
sum_almost_won, False)
find_almost_won_matches(
best_match, result_function(best_overall_odds, best_rank),
sport, True)
second_rank = display_function(best_overall_odds, best_rank)
afficher_mises_combine(best_match.split(" / "), [sites],
[result_function(best_overall_odds, best_rank)],
all_odds[best_match]["odds"], sport,
best_rank if freebet else None, one_site
and freebet, best_overall_odds, second_rank)
except UnboundLocalError:
print("No match found")