def cotes_combine_all_sites(*matches, freebet=False):
"""
Calcule les cotes combinées de matches dont on connait les cotes sur plusieurs
bookmakers
"""
sites = set(matches[0]["odds"].keys())
for match in matches:
sites = sites.intersection(match["odds"].keys())
combine_dict = {"date": max([match["date"] for match in matches]), "odds": {}}
for site in sites:
if freebet:
combine_dict["odds"][site] = cotes_freebet(cotes_combine([match["odds"][site]
for match in matches]))
else:
combine_dict["odds"][site] = cotes_combine([match["odds"][site] for match in matches])
return combine_dict
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 best_matches_freebet(main_sites, freebets, *matches):
"""
Compute of best way to bet freebets following the model
[[bet, bookmaker], ...]
"""
second_sites = {freebet[1] for freebet in freebets}
if not second_sites:
print("Veuillez sélectionner des freebets secondaires")
return
if matches:
new_odds = {}
for match in matches:
match_name, odds = odds_match(match)
new_odds[match_name] = odds
else:
new_odds = sportsbetting.ODDS["football"]
all_odds = {}
for match in new_odds:
if (not (any([
site not in new_odds[match]["odds"].keys()
for site in main_sites
]) or any([
site not in new_odds[match]["odds"].keys()
for site in second_sites
]))):
if new_odds[match]["odds"]:
all_odds[match] = new_odds[match]
best_rate = 0
nb_matches = 2
n = 3**nb_matches
nb_freebets = len(freebets)
all_odds_combine = {}
combis = list(combinations(all_odds.items(), nb_matches))
nb_combis = len(combis)
progress = 10
start = time.time()
for i, combine in enumerate(combis):
if i == 20:
print("appr. time to wait:",
int((time.time() - start) * nb_combis / 20), "s")
if i / nb_combis * 100 > progress:
print(str(progress) + "%")
progress += 10
match_combine = " / ".join([match[0] for match in combine])
all_odds_combine[match_combine] = cotes_combine_all_sites(
*[match[1] for match in combine], freebet=True)
main_sites_distribution = [main_sites[0] for _ in range(n)]
main_site_odds = cotes_freebet(
cotes_combine([
combine[x][1]['odds'][main_sites[0]] for x in range(nb_matches)
]))
main_site_odds = all_odds_combine[match_combine]["odds"][main_sites[0]]
for main in main_sites[1:]:
potential_odds = all_odds_combine[match_combine]["odds"][main]
for j, odd in enumerate(potential_odds):
if odd > main_site_odds[j]:
main_site_odds[j] = odd
main_sites_distribution[j] = main
second_odds = {
second_site: all_odds_combine[match_combine]["odds"][second_site]
for second_site in second_sites
}
dict_combine_odds = copy.deepcopy(second_odds)
for perm in permutations(range(n), nb_freebets):
defined_second_sites = [[perm[i], freebet[0], freebet[1]]
for i, freebet in enumerate(freebets)]
defined_bets_temp = defined_bets(main_site_odds, dict_combine_odds,
main_sites_distribution,
defined_second_sites)
if defined_bets_temp[0] / np.sum(defined_bets_temp[1]) > best_rate:
best_rate = defined_bets_temp[0] / np.sum(defined_bets_temp[1])
best_combine = combine
best_bets = defined_bets_temp
print("Temps d'exécution =", time.time() - start)
best_match_combine = " / ".join([match[0] for match in best_combine])
odds_best_match = copy.deepcopy(all_odds_combine[best_match_combine])
all_sites = main_sites + list(second_sites)
for site in all_odds_combine[best_match_combine]["odds"]:
if site not in all_sites:
del odds_best_match["odds"][site]
print(best_match_combine)
pprint(odds_best_match, compact=1)
print("Taux =", best_rate)
print("Gain référence =", best_bets[0])
print("Somme des mises =", np.sum(best_bets[1]))
afficher_mises_combine([x[0] for x in best_combine],
best_bets[2],
best_bets[1],
all_odds_combine[best_match_combine]["odds"],
"football",
uniquement_freebet=True)
