def PrintBoardToConsole(self):
console_print()
console_print()
for r in self.board_array:
for c in r:
prnt(c + ' ')
prnt('\n')
def fonbet_get_hist(FONBET_USER):
global fonbet_bet_min, balance_str, balance_int
prnt('Фонбет: делаю выгрузку')
is_get_list = list()
coupon_list = dict()
fonbet = FonbetBot(FONBET_USER)
if fonbet.get_balance() >= 0:
balance_int += fonbet.get_balance() #+ fonbet.get_balance('in_play')
balance_str = balance_str + 'Фонбет: ' + int_to_str(fonbet.get_balance(
)) + '' + '\n' #+ int_to_str(fonbet.get_balance('in_play')) + '\n'
balance_str = balance_str + 'Группа лимита: ' + str(
fonbet.limit_group) + '\n'
balance_str = balance_str + 'Блокировки:\n'
balance_str = balance_str + '- ставки: ' + str(
fonbet.live_blocked) + '\n'
balance_str = balance_str + '- вывода: ' + str(
fonbet.pay_blocked) + '\n'
balance_str = balance_str + '- продажи: ' + str(
fonbet.sell_blocked) + '\n'
fonbet.sign_in()
data = fonbet.get_operations(500)
for operation in data.get('operations'):
reg_id = operation.get('marker')
if reg_id not in is_get_list and reg_id >= fonbet_bet_min:
is_get_list.append(reg_id)
bet_info = fonbet.get_coupon_info(reg_id)
try:
val = datetime.fromtimestamp(bet_info.get('regTime'))
date_str = val.strftime('%Y-%m-%d %H:%M:%S')
oper_time = date_str
coupon_list[reg_id] = {
'time': str(oper_time),
'kof':
str(bet_info.get('coupons')[0]['bets'][0]['factor']),
'sum_bet': str(bet_info.get('sum')),
'profit': str(bet_info.get('win')),
'result':
str(bet_info.get('coupons')[0]['bets'][0]['result']),
'name':
str(bet_info.get('coupons')[0]['bets'][0]['eventName']),
'status': str(bet_info.get('state'))
}
except Exception as e:
print(e)
finally:
time.sleep(random.randint(2, 3))
return coupon_list
def get_kof_olimp(obj, olimp_match, olimp_k, proxies, place):
obj['olimp'] = 0
obj['olimp_time_req'] = 0
sc = ''
try:
r_olimp_coef1, sc, rime_req = get_olimp_info(olimp_match, olimp_k,
proxies, place)
obj['olimp_time_req'] = rime_req
obj['olimp'] = r_olimp_coef1
except Exception as e:
prnt(
'FORK_RECHECK.PY - olimp-error: ошибка при повторной проверке коэф-та: '
+ str(e))
if obj['olimp'] is None:
obj['olimp'] = 0
return obj
def requests_retry_session_post(url: str,
headers=None,
data=None,
json=None,
verify=None,
timeout=None,
proxies=None):
prnt('retry_requests: execute requests_retry_session_post, url={}'.format(
url))
resp = requests_retry_session().post(url=url,
headers=headers,
data=data,
json=json,
verify=False,
timeout=timeout,
proxies=proxies)
cnt_retry = 0
return resp
def inner_wrapper(*args, **kwargs):
final_excep = None
for counter in range(times):
if counter > 0:
time.sleep(delay)
final_excep = None
try:
value = function(*args, **kwargs)
return value
except (exceptions) as e:
final_excep = e
prnt('retry_requests 1: ' + str(final_excep) + ', args=' +
str(*args) + ', kwargs=' + str(**kwargs))
pass
if final_excep is not None:
prnt('retry_requests 2: ' + str(final_excep) + ', args=' +
str(*args) + ', kwargs=' + str(**kwargs))
raise final_excep
def get_kof_fonbet(obj, match_id, factor_id, param):
match_id = int(match_id)
factor_id = int(factor_id)
obj['fonbet'] = 0
obj['fonbet_time_req'] = 0
sc = ''
dop_stat = dict()
if param:
param = int(param)
try:
obj['fonbet'], sc, rime_req, dop_stat = get_fonbet_info(
match_id, factor_id, param)
obj['fonbet_time_req'] = rime_req
except Exception as e:
prnt(
'FORK_RECHECK.PY - fonbet-error: ошибка при повторной проверке коэф-та: '
+ str(e))
obj['fonbet'] = 0
if obj['fonbet'] is None:
obj['fonbet'] = 0
return obj
def get_olimp_info(id_matche, olimp_k, sport_id, proxies=None, place=None):
prnt(
'get_olimp_info: id_matche=' + str(id_matche) + ';sport_id=' +
str(sport_id) + ';olimp_k=' + str(olimp_k) + ';proxies=' +
str(proxies), 'hide')
bet_into = {}
olimp_data = copy.deepcopy(ol_payload)
olimp_data.update({"live": 1, "sport_id": sport_id})
olimp_data.update({'id': id_matche})
if place == 'pre':
olimp_data.update({'live': 0})
olimp_stake_head = copy.deepcopy(ol_headers)
olimp_stake_head.update(get_xtoken_bet(olimp_data))
olimp_stake_head.pop('Accept-Language', None)
prnt('FORK_RECHECK.PY: get_olimp_info rq: ' + str(olimp_data), 'hide')
res = requests_retry_session().post(
# ol_url_api.format('10', 'stakes/'),
ol_url_api.format('stakes/'),
data=olimp_data,
headers=olimp_stake_head,
timeout=10,
verify=False,
proxies=proxies)
prnt('FORK_RECHECK.PY: get_olimp_info rs: ' + str(res.text), 'hide')
resp = res.json()
if not resp.get('error', {}).get('err_code', 0):
stake = resp.get('data', {})
bet_into['ID'] = id_matche
is_block = ''
if place == 'pre':
if stake:
is_block = stake.get('ms', False)
else:
is_block = False
else:
if str(stake.get('ms', '')) == '1':
is_block = True # 1 - block, 2 - available
# prnt('Олимп: ставки приостановлены: http://olimp.com/app/event/live/1/' + str(stake.get('id', '')))
bet_into['BLOCKED'] = is_block
prnt('olimp kof is blocked: ' + str(is_block))
minutes = "-1"
try:
minutes = re.findall('\d{1,2}\"',
stake.get('scd', ''))[0].replace('"', '')
except:
pass
bet_into['MINUTES'] = minutes
# startTime=datetime.datetime.strptime(stake.get('dt',''), "%d.%m.%Y %H:%M:%S")
# currentTime=datetime.datetime.strptime(datetime.datetime.now(pytz.timezone('Europe/Moscow')).strftime("%Y-%m-%d %H:%M:%S"), "%Y-%m-%d %H:%M:%S")
# timeDif = currentTime-startTime
# minuts
bet_into['SCORE'] = stake.get('sc',
'0:0') # .get('sc', '0:0').split(' ')[0]
for c in stake.get('it', []):
# del: угловые
# if c.get('n','') in ['Main Bets', 'Goals', 'Corners', 'Individual total', 'Additional total']:
# if c.get('n', '').replace(' ', '').lower() in ['основные', 'голы', 'угловые', 'инд.тотал', 'доп.тотал', 'исходыпотаймам']:
group_kof = c.get('n', '').replace(' ', '').lower()
group_kof = group_kof.replace('азиатские', '')
if group_kof in [
'основные', 'голы', 'инд.тотал', 'доп.тотал',
'исходыпотаймам', 'победасучетомфоры', 'форы', 'тоталы',
'инд.тоталы'
]:
for d in c.get('i', []):
if 'обе забьют: '.lower() \
in d.get('n', '').lower() \
or 'забьет: '.lower() \
in d.get('n', '').lower() \
or 'никто не забьет: '.lower() \
in d.get('n', '').lower() \
or 'победа '.lower() \
in d.get('n', '').lower() \
or d.get('n', '').lower().endswith(' бол') \
or d.get('n', '').lower().endswith(' мен') \
or 'с форой'.lower() \
in d.get('n', '').lower() \
or 'первая не проиграет'.lower() \
in d.get('n', '').lower() \
or 'вторая не проиграет'.lower() \
in d.get('n', '').lower() \
or 'ничьей не будет' \
in d.get('n', '').lower() \
or 'ничья'.lower() \
in d.get('n', '').lower() \
or 'форы' in group_kof:
if 'форы' in group_kof:
key_r = d.get('n', '').replace(
stake.get('c1', ''),
'П1сфорой').replace(stake.get('c2', ''),
'П2сфорой')
key_r = key_r.replace(' ', '')
else:
key_r = d.get('n', '').replace(
stake.get('c1', ''),
'Т1').replace(stake.get('c2', ''), 'Т2')
olimp_factor_short = str([
abbreviations[c.replace(' ', '')] if c.replace(
' ', '') in abbreviations.keys() else
c.replace(' ', '') if '(' not in c.replace(
' ', '') else to_abb(c) for c in [key_r]
][0])
val_kof = d.get('v', '')
if is_block:
val_kof = 0
bet_into[olimp_factor_short] = val_kof
else:
is_block = True
k = bet_into.get(olimp_k, 0)
if is_block:
k = 0
try:
sc = bet_into.get('SCORE', '0:0').split(' ')[0]
except:
sc = '0'
prnt('olimp is_block: ' + str(is_block))
prnt('olimp score: ' + sc)
prnt('olimp bet_into: ' + str(bet_into))
prnt('olimp k: ' + str(k))
prnt('FORK_RECHECK.PY: get_olimp_info end work', 'hide')
return k, sc, round(res.elapsed.total_seconds(), 2)
def get_fonbet_info(match_id, factor_id, param, bet_type=None):
dop_stat = dict()
sc1 = None
sc2 = None
prnt('get_fonbet_info: match_id:{}, factor_id:{}, param:{}, bet_type:{}'.
format(match_id, factor_id, param, bet_type))
header = copy.deepcopy(fb_headers)
url = url_fonbet + "/line/eventView?eventId=" + str(match_id) + "&lang=ru"
prnt('FORK_RECHECK.PY: get_fonbet_info rq: ' + url + ' ' + str(header),
'hide')
resp = requests_retry_session().get(url,
headers=header,
timeout=10,
verify=False)
prnt('FORK_RECHECK.PY: get_fonbet_info rs: ' + str(resp.text), 'hide')
res = resp.json()
result = res.get('result')
if result == "error":
prnt('fonbet err : ' + str(res))
return 0, '0:0', round(resp.elapsed.total_seconds(), 2), {}
for event in res.get("events"):
if event.get('id') == match_id:
sc = event.get('score', '0:0').replace('-', ':')
period = 1
time_break_fonbet = False
if re.match('\(\d+:\d+\)', event.get('scoreComment', '').replace('-', ':').replace(' ', '')) and \
str(event.get('timer', '')) == '45:00' and \
event.get('timerSeconds', 0) == 45.0:
time_break_fonbet = True
period = 2
elif re.match('\(\d+:\d+\)', event.get('scoreComment', '').replace('-', ':').replace(' ', '')) and \
event.get('timerSeconds', 0) / 60 > 45.0:
period = 2
try:
sc1 = int(sc.split(':')[0])
except:
pass
try:
sc2 = int(sc.split(':')[1])
except:
pass
dop_stat = {
'cur_score':
sc,
'sc1':
sc1,
'sc2':
sc2,
'1st_half_score':
event.get('scoreComment'),
'minutes':
round(event.get('timerSeconds', 0) / 60) +
(event.get('timerSeconds', 0) % 60 / 100),
'timer':
event.get('timer'),
'period':
period,
'timebreak':
time_break_fonbet
}
if bet_type:
dop_stat.update({'vector': get_vector(bet_type, sc1, sc2)})
for cat in event.get('subcategories'):
for kof in cat.get('quotes'):
if kof.get('factorId') == factor_id:
if param:
err_str = None
if kof.get('pValue') != param:
prnt(
'Изменилась тотал ставки, param не совпадает: '
+ 'new: ' + str(kof.get('pValue')) +
', old: ' + str(param))
if bet_type:
prnt('поиск нового id тотала: ' + bet_type)
new_wager = get_new_bets_fonbet(match_id,
proxies={})
new_wager = new_wager.get(
str(match_id),
{}).get('kofs', {}).get(bet_type)
if new_wager:
prnt('Тотал найден: ' + str(new_wager))
k = new_wager.get('value', 0)
sc = new_wager.get('score',
'0:0').replace(
'-', ':')
return k, sc, round(
resp.elapsed.total_seconds(),
2), dop_stat
else:
err_str = 'Тотал не найден: ' + str(
new_wager)
else:
err_str = 'Тип ставки, например 1ТМ(2.5) - не задан: bet_type:' + bet_type
if err_str:
prnt(err_str)
raise BetIsLost(err_str)
k = kof.get('value', 0)
prnt('fonbet kof is blocked ' +
str(kof.get('blocked', 'None')))
if kof.get('blocked'):
prnt('fonbet kof is blocked ' + str(kof))
k = 0
prnt('fonbet score: ' + sc)
dop_stat.update({'val': k})
prnt('FORK_RECHECK.PY: get_olimp_info end work',
'hide')
return k, sc, round(resp.elapsed.total_seconds(),
2), dop_stat
def olimp_get_hist(OLIMP_USER):
global olimp_bet_min, balance_str, balance_int
prnt('Олимп: делаю выгрузку')
"""
# 0111 не расчитанные, выигранные и проигранные
# 0011 выигранные и проигранные
# 0001 проигранные
# 0010 выигранные и выкупденые
# 0100 не расчитанные
# 0000 Галки сняты: выиграл и продал
"""
def get_chank(offset=0):
coupot_list_chank = dict()
bet_list = olimp.get_history_bet(filter="0111",
offset=offset).get('bet_list')
for bets in bet_list:
if bets.get('bet_id') >= olimp_bet_min:
ts = int(bets.get('dttm'))
# if you encounter a "year is out of range" error the timestamp
# may be in milliseconds, try `ts /= 1000` in that case
val = datetime.fromtimestamp(ts)
date_str = val.strftime('%Y-%m-%d %H:%M:%S')
reg_id = bets.get('bet_id')
coupot_list_chank[reg_id] = {
'time': str(date_str),
'kof': str(bets.get('final_odd')),
'sum_bet': str(bets.get('total_bet')),
'profit': str(bets.get('pay_sum')),
'result': str(bets.get('result_text')),
'name': str(bets.get('events')[0].get('matchname')),
'status': str(bets.get('calc_cashout_sum'))
}
return coupot_list_chank
coupot_list = dict()
olimp = OlimpBot(OLIMP_USER)
if olimp.get_balance() >= 0:
in_play = olimp.get_balance('in_play')
balance_int += olimp.get_balance() + in_play
if in_play:
balance_str = balance_str + 'Олимп: ' + int_to_str(
olimp.get_balance()) + '/' + int_to_str(in_play) + '\n'
else:
balance_str = balance_str + 'Олимп: ' + int_to_str(
olimp.get_balance()) + '\n'
data = olimp.get_history_bet(filter="0011", offset=0)
count = data.get('count')
offset = ceil(count / 10) + 1
is_break = False
for n in range(0, offset):
if not is_break:
js = get_chank(n)
for id in js.keys():
if id <= olimp_bet_min:
is_break = True
coupot_list.update(js)
time.sleep(random.randint(2, 3))
return coupot_list
def export_hist(OLIMP_USER, FONBET_USER):
global file_name
global olimp_bet_min
global fonbet_bet_min
global ACC_ID, USER_ID
global balance_str, balance_int
csv_name = datetime.now().strftime("%d_%m_%Y") + '_' + str(
ACC_ID) + '_statistics.csv'
cur_date_str = datetime.now().strftime("%d_%m_%Y")
if os.path.isfile(file_name):
with open(file_name, encoding='utf-8') as f:
for line in f.readlines():
fork = json.loads(line)
for id, info in fork.items():
if info['fonbet'].get('reg_id', fonbet_bet_min):
if int(info['fonbet'].get(
'reg_id', fonbet_bet_min)) < fonbet_bet_min:
fonbet_bet_min = info['fonbet'].get('reg_id', '')
if info['olimp'].get('reg_id', olimp_bet_min):
if int(info['olimp'].get(
'reg_id', olimp_bet_min)) < olimp_bet_min:
olimp_bet_min = info['olimp'].get('reg_id', '')
out = ""
o_list = olimp_get_hist(OLIMP_USER)
f_list = fonbet_get_hist(FONBET_USER)
all_banalce_str = '*Общий баланс: ' + int_to_str(balance_int) + '*'
balance_msg = all_banalce_str + '\n' + balance_str
balance_msg = balance_msg.strip()
db_model.send_message_bot(USER_ID,
str(ACC_ID) + ': ' + balance_msg, ADMINS)
ol_list = json.loads(json.dumps(o_list, ensure_ascii=False))
fb_list = json.loads(json.dumps(f_list, ensure_ascii=False))
# print(json.dumps(ol_list, ensure_ascii=False))
# print(json.dumps(fb_list, ensure_ascii=False))
#
# fb_list = {"15001529116": {"time": "2019-03-17 08:16:39", "kof": "1.55", "sum_bet": "650.0", "profit": "0.0", "result": "lose", "name": "Саутерн Таблеландс Юн - УК Пумас: Обе забьют", "status": "calculated"}, "15001533448": {"time": "2019-03-17 08:17:23", "kof": "2.90", "sum_bet": "345.0", "profit": "1001.0", "result": "win", "name": "Саутерн Таблеландс Юн - УК Пумас", "status": "calculated"}, "15001349429": {"time": "2019-03-17 07:47:44", "kof": "1.30", "sum_bet": "780.0", "profit": "1014.0", "result": "win", "name": "Альянса - Сонсонате: Сонсонате забьет", "status": "calculated"}, "15000795396": {"time": "2019-03-17 06:18:07", "kof": "1.70", "sum_bet": "595.0", "profit": "1012.0", "result": "win", "name": "Энвигадо - Рионегро Агилас (Дорадос)", "status": "calculated"}, "15001086039": {"time": "2019-03-17 07:03:01", "kof": "20.00", "sum_bet": "50.0", "profit": "0.0", "result": "lose", "name": "Сан Антонио ФК - Портленд-2", "status": "calculated"}, "14999742887": {"time": "2019-03-17 03:50:59", "kof": "2.25", "sum_bet": "450.0", "profit": "1013.0", "result": "win", "name": "Универсидад Католика - Делфин", "status": "calculated"}, "14998113571": {"time": "2019-03-17 01:59:54", "kof": "3.15", "sum_bet": "315.0", "profit": "0.0", "result": "lose", "name": "Унион Комерсио - Универсидад Сан-Мартин: Обе забьют", "status": "calculated"}, "14996690959": {"time": "2019-03-17 00:54:00", "kof": "1.88", "sum_bet": "530.0", "profit": "530.0", "result": "return", "name": "Торино - Болонья", "status": "calculated"}, "14995655551": {"time": "2019-03-17 00:17:53", "kof": "1.90", "sum_bet": "530.0", "profit": "0.0", "result": "lose", "name": "Анжер - Амьен: Амьен забьет", "status": "calculated"}, "14995638289": {"time": "2019-03-17 00:17:14", "kof": "4.20", "sum_bet": "240.0", "profit": "0.0", "result": "lose", "name": "Анжер - Амьен", "status": "calculated"}, "14997716191": {"time": "2019-03-17 01:39:11", "kof": "2.50", "sum_bet": "420.0", "profit": "1050.0", "result": "win", "name": "Ольмедо - Гуаякиль С", "status": "calculated"}, "14994775175": {"time": "2019-03-16 23:45:07", "kof": "1.75", "sum_bet": "585.0", "profit": "0.0", "result": "lose", "name": "Унион Санта-Фе - Ланус: Ланус забьет", "status": "calculated"}, "14994440566": {"time": "2019-03-16 23:31:13", "kof": "3.00", "sum_bet": "335.0", "profit": "0.0", "result": "lose", "name": "Брессюир - Монморийон: Монморийон забьет", "status": "calculated"}, "14993925090": {"time": "2019-03-16 23:13:31", "kof": "1.78", "sum_bet": "570.0", "profit": "1015.0", "result": "win", "name": "Херенвен - Графсхап", "status": "calculated"}, "14994084766": {"time": "2019-03-16 23:19:33", "kof": "1.45", "sum_bet": "700.0", "profit": "1015.0", "result": "win", "name": "Атлетик Бильбао - Атлетико Мадрид", "status": "calculated"}, "14994110354": {"time": "2019-03-16 23:20:22", "kof": "2.10", "sum_bet": "470.0", "profit": "987.0", "result": "win", "name": "Витория Гимарайнш - Боавишта: Боавишта забьет", "status": "calculated"}, "14994170306": {"time": "2019-03-16 23:22:17", "kof": "1.75", "sum_bet": "580.0", "profit": "1015.0", "result": "win", "name": "Суонси - Манчестер С", "status": "calculated"}, "14994146836": {"time": "2019-03-16 23:21:32", "kof": "1.43", "sum_bet": "705.0", "profit": "1008.0", "result": "win", "name": "Суонси - Манчестер С", "status": "calculated"}, "14993741171": {"time": "2019-03-16 23:06:57", "kof": "2.35", "sum_bet": "420.0", "profit": "0.0", "result": "lose", "name": "Атлетик Бильбао - Атлетико Мадрид", "status": "calculated"}, "14993367286": {"time": "2019-03-16 22:54:51", "kof": "1.88", "sum_bet": "530.0", "profit": "0.0", "result": "lose", "name": "Атлетик Бильбао - Атлетико Мадрид", "status": "calculated"}, "14992840796": {"time": "2019-03-16 22:37:34", "kof": "1.14", "sum_bet": "880.0", "profit": "1003.0", "result": "win", "name": "Суонси - Манчестер С", "status": "calculated"}, "14993723581": {"time": "2019-03-16 23:06:17", "kof": "2.75", "sum_bet": "370.0", "profit": "1018.0", "result": "win", "name": "Санлукено - Картахена", "status": "calculated"}, "14994235380": {"time": "2019-03-16 23:24:06", "kof": "1.55", "sum_bet": "650.0", "profit": "1008.0", "result": "win", "name": "Суонси - Манчестер С", "status": "calculated"}, "14992528115": {"time": "2019-03-16 22:27:44", "kof": "1.23", "sum_bet": "825.0", "profit": "0.0", "result": "lose", "name": "Хапоэль Тель-Авив - Ашдод", "status": "calculated"}, "14991503747": {"time": "2019-03-16 21:56:39", "kof": "4.70", "sum_bet": "215.0", "profit": "1011.0", "result": "win", "name": "Хапоэль Тель-Авив - Ашдод: Обе забьют", "status": "calculated"}, "14993029144": {"time": "2019-03-16 22:43:46", "kof": "2.90", "sum_bet": "350.0", "profit": "1015.0", "result": "win", "name": "Суонси - Манчестер С", "status": "calculated"}, "14991662446": {"time": "2019-03-16 22:01:31", "kof": "6.90", "sum_bet": "145.0", "profit": "0.0", "result": "lose", "name": "Эстеглал Тегеран - Нассаджи Мазандаран", "status": "calculated"}, "14989521152": {"time": "2019-03-16 20:49:31", "kof": "1.30", "sum_bet": "775.0", "profit": "1008.0", "result": "win", "name": "Реал Мадрид - Сельта", "status": "calculated"}, "14988526673": {"time": "2019-03-16 20:17:56", "kof": "1.14", "sum_bet": "880.0", "profit": "1003.0", "result": "win", "name": "Реал Мадрид - Сельта", "status": "calculated"}, "14989061179": {"time": "2019-03-16 20:33:47", "kof": "1.50", "sum_bet": "680.0", "profit": "0.0", "result": "lose", "name": "Вест Хэм Юн - Хаддерсфилд Т", "status": "calculated"}, "14989762731": {"time": "2019-03-16 20:57:34", "kof": "1.43", "sum_bet": "700.0", "profit": "1001.0", "result": "win", "name": "Вольфсбург - Фортуна Дюссельдорф", "status": "calculated"}, "14987996257": {"time": "2019-03-16 19:59:01", "kof": "1.45", "sum_bet": "685.0", "profit": "993.0", "result": "win", "name": "Шальке-04 - Лейпциг", "status": "calculated"}, "14989875590": {"time": "2019-03-16 21:01:31", "kof": "12.00", "sum_bet": "85.0", "profit": "43.0", "result": "lose", "name": "Бешикташ - Гезтепе", "status": "completelySold"}, "14986872625": {"time": "2019-03-16 19:22:16", "kof": "1.95", "sum_bet": "525.0", "profit": "0.0", "result": "lose", "name": "Аль-Сайлия - Аль-Садд", "status": "calculated"}, "14988650857": {"time": "2019-03-16 20:22:07", "kof": "2.45", "sum_bet": "415.0", "profit": "1017.0", "result": "win", "name": "Бернли - Лестер С: Обе забьют", "status": "calculated"}, "14987613021": {"time": "2019-03-16 19:46:36", "kof": "1.75", "sum_bet": "575.0", "profit": "1006.0", "result": "win", "name": "Аль-Дафра - Аль-Шарджа: Аль-Шарджа забьет", "status": "calculated"}, "14988582493": {"time": "2019-03-16 20:19:43", "kof": "1.83", "sum_bet": "550.0", "profit": "1007.0", "result": "win", "name": "Бернли - Лестер С: Лестер С забьет", "status": "calculated"}, "14986010340": {"time": "2019-03-16 18:52:49", "kof": "2.10", "sum_bet": "480.0", "profit": "0.0", "result": "lose", "name": "Лудогорец - Септември София", "status": "calculated"}, "14984254198": {"time": "2019-03-16 17:51:41", "kof": "2.45", "sum_bet": "415.0", "profit": "1017.0", "result": "win", "name": "Лидс Юн - Шеффилд Юн", "status": "calculated"}, "14983999456": {"time": "2019-03-16 17:41:45", "kof": "2.80", "sum_bet": "360.0", "profit": "1008.0", "result": "win", "name": "Уотфорд - Кристал Пэлас: Обе забьют", "status": "calculated"}, "14984890829": {"time": "2019-03-16 18:14:01", "kof": "1.14", "sum_bet": "880.0", "profit": "1003.0", "result": "win", "name": "Наньтун Чжиюнь - Ляонин Хувин", "status": "calculated"}, "14984079016": {"time": "2019-03-16 17:44:53", "kof": "7.40", "sum_bet": "140.0", "profit": "0.0", "result": "lose", "name": "Гол Гохар - Персеполис Пакдашт", "status": "calculated"}, "14984118929": {"time": "2019-03-16 17:46:34", "kof": "1.85", "sum_bet": "550.0", "profit": "1018.0", "result": "win", "name": "Гол Гохар - Персеполис Пакдашт", "status": "calculated"}, "14984223520": {"time": "2019-03-16 17:50:31", "kof": "10.00", "sum_bet": "100.0", "profit": "0.0", "result": "lose", "name": "ПСИС Семаранг - ПСМ Макассар: Обе забьют", "status": "calculated"}, "14983860215": {"time": "2019-03-16 17:36:31", "kof": "2.50", "sum_bet": "405.0", "profit": "0.0", "result": "lose", "name": "ПСИС Семаранг - ПСМ Макассар", "status": "calculated"}, "14984062208": {"time": "2019-03-16 17:44:11", "kof": "2.60", "sum_bet": "390.0", "profit": "1014.0", "result": "win", "name": "ПСИС Семаранг - ПСМ Макассар", "status": "calculated"}}
# ol_list = {"54": {"time": "2019-03-17 19:10:31", "kof": "1.04", "sum_bet": "970", "profit": "897", "result": "Выиграло", "name": "ФК Данди - Селтик", "status": "897"}, "53": {"time": "2019-03-17 19:07:30", "kof": "1.4", "sum_bet": "710", "profit": "641", "result": "Выиграло", "name": "Локомотив М - ФК Краснодар", "status": "641"}, "52": {"time": "2019-03-17 19:04:11", "kof": "1.55", "sum_bet": "675", "profit": "595", "result": "Выиграло", "name": "Патронато Парана - Дефенса и Хустисия", "status": "595"}, "51": {"time": "2019-03-17 19:00:19", "kof": "2.35", "sum_bet": "430", "profit": "354", "result": "Выиграло", "name": "Локомотив М - ФК Краснодар", "status": "354"}, "50": {"time": "2019-03-17 18:53:46", "kof": "2.98", "sum_bet": "340", "profit": "267", "result": "Проиграло", "name": "Кайсериспор - Истанбул Башакшехир", "status": "267"}, "49": {"time": "2019-03-17 18:39:22", "kof": "1.28", "sum_bet": "795", "profit": "728", "result": "Проиграло", "name": "Арминия - Бохум", "status": "728"}, "48": {"time": "2019-03-17 08:17:22", "kof": "1.54", "sum_bet": "655", "profit": "0", "result": "Проиграло", "name": "Саузерн Тейбландс Юнайтед - ЮС Пумас", "status": "None"}, "47": {"time": "2019-03-17 08:16:38", "kof": "2.89", "sum_bet": "350", "profit": "1012", "result": "Выиграло", "name": "Саузерн Тейбландс Юнайтед - ЮС Пумас", "status": "None"}, "46": {"time": "2019-03-17 07:47:43", "kof": "4.63", "sum_bet": "220", "profit": "0", "result": "Проиграло", "name": "Альянса - Сонсонате", "status": "None"}, "45": {"time": "2019-03-17 07:03:01", "kof": "1.06", "sum_bet": "950", "profit": "1007", "result": "Выиграло", "name": "Сан Антонио ФК - Портленд Тимберс II", "status": "None"}, "44": {"time": "2019-03-17 06:18:06", "kof": "2.5", "sum_bet": "405", "profit": "0", "result": "Проиграло", "name": "Энвигадо - Рионегро Агилас", "status": "None"}, "43": {"time": "2019-03-17 03:50:58", "kof": "1.85", "sum_bet": "550", "profit": "0", "result": "Проиграло", "name": "Универсидад Католика - Дельфин", "status": "None"}, "42": {"time": "2019-03-17 01:59:33", "kof": "1.5", "sum_bet": "685", "profit": "1028", "result": "Выиграло", "name": "Унион Комерсио - Универсидад Сан Мартин", "status": "None"}, "41": {"time": "2019-03-17 01:39:16", "kof": "1.8", "sum_bet": "580", "profit": "0", "result": "Проиграло", "name": "Ольмедо - Гуаякиль Сити", "status": "None"}, "40": {"time": "2019-03-17 00:53:58", "kof": "2.15", "sum_bet": "470", "profit": "470", "result": "Возврат", "name": "Торино - Болонья", "status": "None"}, "39": {"time": "2019-03-17 00:17:51", "kof": "2.15", "sum_bet": "470", "profit": "1011", "result": "Выиграло", "name": "Анже - Амьен", "status": "None"}, "38": {"time": "2019-03-17 00:17:13", "kof": "1.33", "sum_bet": "760", "profit": "1011", "result": "Выиграло", "name": "Анже - Амьен", "status": "None"}, "37": {"time": "2019-03-17 00:15:52", "kof": "2.15", "sum_bet": "470", "profit": "392", "result": "Проиграло", "name": "Экскурсионистас - Сентраль Кордоба", "status": "392"}, "36": {"time": "2019-03-16 23:45:06", "kof": "2.4", "sum_bet": "415", "profit": "996", "result": "Выиграло", "name": "Унион Санта-Фе - Ланус", "status": "None"}, "35": {"time": "2019-03-16 23:31:11", "kof": "1.52", "sum_bet": "665", "profit": "1011", "result": "Выиграло", "name": "Брессер - Монморийон", "status": "None"}, "34": {"time": "2019-03-16 23:24:06", "kof": "2.9", "sum_bet": "350", "profit": "0", "result": "Проиграло", "name": "Суонси Сити - Манчестер Сити", "status": "None"}, "33": {"time": "2019-03-16 23:22:11", "kof": "2.4", "sum_bet": "420", "profit": "0", "result": "Проиграло", "name": "Суонси Сити - Манчестер Сити", "status": "None"}, "32": {"time": "2019-03-16 23:21:34", "kof": "3.4", "sum_bet": "295", "profit": "0", "result": "Проиграло", "name": "Суонси Сити - Манчестер Сити", "status": "None"}, "31": {"time": "2019-03-16 23:20:21", "kof": "1.9", "sum_bet": "530", "profit": "0", "result": "Проиграло", "name": "Гимарайнш - Боавишта", "status": "None"}, "30": {"time": "2019-03-16 23:19:35", "kof": "3.4", "sum_bet": "300", "profit": "0", "result": "Проиграло", "name": "Атлетик Б - Атлетико Мадрид", "status": "None"}, "29": {"time": "2019-03-16 23:13:31", "kof": "2.35", "sum_bet": "430", "profit": "0", "result": "Проиграло", "name": "Херенвен - Де Графсхап", "status": "None"}, "28": {"time": "2019-03-16 23:06:54", "kof": "1.75", "sum_bet": "580", "profit": "1015", "result": "Выиграло", "name": "Атлетик Б - Атлетико Мадрид", "status": "None"}, "27": {"time": "2019-03-16 23:06:16", "kof": "1.6", "sum_bet": "630", "profit": "0", "result": "Проиграло", "name": "Атлетико Санлукено - Картахена", "status": "None"}, "26": {"time": "2019-03-16 22:54:51", "kof": "2.25", "sum_bet": "470", "profit": "1058", "result": "Выиграло", "name": "Атлетик Б - Атлетико Мадрид", "status": "None"}, "25": {"time": "2019-03-16 22:43:46", "kof": "1.57", "sum_bet": "650", "profit": "0", "result": "Проиграло", "name": "Суонси Сити - Манчестер Сити", "status": "None"}, "24": {"time": "2019-03-16 22:37:34", "kof": "8.5", "sum_bet": "120", "profit": "0", "result": "Проиграло", "name": "Суонси Сити - Манчестер Сити", "status": "None"}, "23": {"time": "2019-03-16 22:27:44", "kof": "5.75", "sum_bet": "175", "profit": "1006", "result": "Выиграло", "name": "Хапоэль Тель-Авив - Ашдод", "status": "None"}, "22": {"time": "2019-03-16 22:01:30", "kof": "1.18", "sum_bet": "855", "profit": "1009", "result": "Выиграло", "name": "Эстеглаль Тегеран - Нассаджи Мазендеран", "status": "None"}, "21": {"time": "2019-03-16 21:56:36", "kof": "1.3", "sum_bet": "785", "profit": "0", "result": "Проиграло", "name": "Хапоэль Тель-Авив - Ашдод", "status": "None"}, "20": {"time": "2019-03-16 21:01:33", "kof": "1.1", "sum_bet": "915", "profit": "1007", "result": "Выиграло", "name": "Бешикташ - Гёзтепе", "status": "None"}, "19": {"time": "2019-03-16 20:57:33", "kof": "3.4", "sum_bet": "300", "profit": "0", "result": "Проиграло", "name": "Вольфсбург - Фортуна Д", "status": "None"}, "18": {"time": "2019-03-16 20:49:30", "kof": "4.5", "sum_bet": "225", "profit": "0", "result": "Проиграло", "name": "Реал М - Сельта", "status": "None"}, "17": {"time": "2019-03-16 20:33:46", "kof": "3.2", "sum_bet": "320", "profit": "1024", "result": "Выиграло", "name": "Вест Хэм - Хаддерсфилд", "status": "None"}, "16": {"time": "2019-03-16 20:22:07", "kof": "1.75", "sum_bet": "585", "profit": "0", "result": "Проиграло", "name": "Бернли - Лестер", "status": "None"}, "15": {"time": "2019-03-16 20:19:46", "kof": "2.25", "sum_bet": "450", "profit": "0", "result": "Проиграло", "name": "Бернли - Лестер", "status": "None"}, "14": {"time": "2019-03-16 20:17:55", "kof": "8.5", "sum_bet": "120", "profit": "0", "result": "Проиграло", "name": "Реал М - Сельта", "status": "None"}, "13": {"time": "2019-03-16 20:00:53", "kof": "2", "sum_bet": "480", "profit": "402", "result": "Проиграло", "name": "Штутгарт - Хоффенхайм", "status": "402"}, "12": {"time": "2019-03-16 19:59:01", "kof": "3.2", "sum_bet": "315", "profit": "0", "result": "Проиграло", "name": "Шальке 04 - РБ Лейпциг", "status": "None"}, "11": {"time": "2019-03-16 19:46:38", "kof": "2.37", "sum_bet": "425", "profit": "0", "result": "Проиграло", "name": "Аль-Дафра - Шарджа", "status": "None"}, "10": {"time": "2019-03-16 19:22:15", "kof": "2.15", "sum_bet": "475", "profit": "1021", "result": "Выиграло", "name": "Аль-Сайлия - Аль-Садд", "status": "None"}, "9": {"time": "2019-03-16 18:52:48", "kof": "1.93", "sum_bet": "520", "profit": "1004", "result": "Выиграло", "name": "Лудогорец Разград - Септември София", "status": "None"}, "8": {"time": "2019-03-16 18:14:04", "kof": "8.3", "sum_bet": "120", "profit": "0", "result": "Проиграло", "name": "Нантонг Жиян - Ляонин Хувин", "status": "None"}, "7": {"time": "2019-03-16 17:51:39", "kof": "1.75", "sum_bet": "585", "profit": "0", "result": "Проиграло", "name": "Лидс - Шеффилд Юнайтед", "status": "None"}, "6": {"time": "2019-03-16 17:50:35", "kof": "1.12", "sum_bet": "900", "profit": "1008", "result": "Выиграло", "name": "ПСИС Семаранг - ПСМ Макассар", "status": "None"}, "5": {"time": "2019-03-16 17:46:39", "kof": "2.25", "sum_bet": "450", "profit": "0", "result": "Проиграло", "name": "Гол Гохар - Персеполис Пакдешт", "status": "None"}, "4": {"time": "2019-03-16 17:44:57", "kof": "1.17", "sum_bet": "860", "profit": "1006", "result": "Выиграло", "name": "Гол Гохар - Персеполис Пакдешт", "status": "None"}, "3": {"time": "2019-03-16 17:44:15", "kof": "1.65", "sum_bet": "610", "profit": "0", "result": "Проиграло", "name": "ПСИС Семаранг - ПСМ Макассар", "status": "None"}, "2": {"time": "2019-03-16 17:41:44", "kof": "1.55", "sum_bet": "640", "profit": "0", "result": "Проиграло", "name": "Уотфорд - Кристал Пэлас", "status": "None"}, "1": {"time": "2019-03-16 17:36:35", "kof": "1.65", "sum_bet": "595", "profit": "982", "result": "Выиграло", "name": "ПСИС Семаранг - ПСМ Макассар", "status": "None"}}
# print('fb_list=' + str(fb_list))
# print('ol_list=' + str(ol_list))
# READ FORKS INFO
with open(file_name, encoding='utf-8') as f:
for line in f.readlines():
fork = json.loads(line.strip())
for id, info in fork.items():
ts = int(id)
val = datetime.fromtimestamp(ts)
time = val.strftime('%Y-%m-%d %H:%M:%S')
fb_reg_id = info['fonbet'].get('reg_id', '')
fb_info = fb_list.get(str(fb_reg_id), {})
o_reg_id = info['olimp'].get('reg_id', '')
o_info = ol_list.get(str(o_reg_id), {})
if fb_info.get('profit', 0.0) == 'None':
fb_info_profit = 0.0
else:
fb_info_profit = fb_info.get('profit', 0.0)
out = out + \
str(id) + ';' + \
str(time) + ';' + \
str(max(info['fonbet'].get('event_type', ''), info['olimp'].get('event_type', ''))) + ';' + \
str(float(info['fonbet'].get('kof', 0.0))).replace('.', ',') + ';' + \
str(float(info['olimp'].get('kof', 0.0))).replace('.', ',') + ';' + \
\
str(int(float(info['fonbet'].get('amount', 0)))) + ';' + \
str(int(float(info['olimp'].get('amount', 0)))) + ';' + \
\
str(info['fonbet'].get('reg_id', '')).replace('None', '') + ';' + \
str(info['olimp'].get('reg_id', '')).replace('None', '') + ';' + \
\
str(fb_info.get('time', '')) + ';' + \
str(o_info.get('time', '')) + ';' + \
\
str(fb_info.get('kof', '')).replace('.', ',') + ';' + \
str(o_info.get('kof', '')).replace('.', ',') + ';' + \
\
str(int(float(fb_info.get('sum_bet', 0)))) + ';' + \
str(int(float(o_info.get('sum_bet', 0)))) + ';' + \
\
str(int(float(fb_info_profit))) + ';' + \
str(o_info.get('profit', '')) + ';' + \
\
str(fb_info.get('result', '')) + ';' + \
str(o_info.get('result', '')) + ';' + \
\
str(fb_info.get('name', '')) + ';' + \
str(o_info.get('name', '')) + ';' + \
\
str(fb_info.get('status', '')) + ';' + \
str(o_info.get('status', '')).replace('None', '') + ';' + \
\
str(info['fonbet'].get('bet_type', '')) + ';' + \
str(info['olimp'].get('bet_type', '')) + ';' + \
\
str(info['fonbet'].get('order_bet', '')) + ';' + \
str(info['fonbet'].get('vector', '')) + ';' + \
str(info['olimp'].get('vector', '')) + ';' + \
str(info['fonbet'].get('first_bet_in', '')) + ';' + \
str(info['fonbet'].get('total_first', '')) + ';' + \
\
str(info['fonbet'].get('time_bet', '')) + ';' + \
str(info['olimp'].get('time_bet', '')) + ';' + \
\
str(info['fonbet'].get('new_bet_sum', '')) + ';' + \
str(info['olimp'].get('new_bet_sum', '')) + ';' + \
\
str(info['fonbet'].get('balance', '')) + ';' + \
str(info['olimp'].get('balance', '')) + ';' + \
\
str(info['fonbet'].get('max_bet', '')) + ';' + \
str(info['fonbet'].get('maxbet_fact', '')) + ';' + \
str(info['fonbet'].get('fonbet_maxbet_fact', '')) + ';' + \
str(info['fonbet'].get('bet_delay', '')) + ';' + \
str(info['fonbet'].get('is_top', '')) + ';' + \
str(info['fonbet'].get('is_hot', '')) + ';' + \
str(info['fonbet'].get('fork_slice', '')) + ';' + \
str(info['fonbet'].get('cnt_act_acc', '')) + ';' + \
str(info['fonbet'].get('place', '')) + ';' + \
\
str(info['fonbet'].get('fork_time_type', '')) + ';' + \
str(info['fonbet'].get('fork_life_time', '')) + ';' + \
str(info['fonbet'].get('fork_life_time_max', '')) + ';' + \
str(info['fonbet'].get('min_proc', '')) + ';' + \
str(info['fonbet'].get('max_proc', '')) + ';' + \
str(info['fonbet'].get('user_id', '')) + ';' + \
str(info['fonbet'].get('fb_bk_type', '')) + ';' + \
str(info['fonbet'].get('group_limit_id', '')) + ';' + \
str(info['fonbet'].get('live_fork', '')) + ';' + \
str(info['fonbet'].get('team_type', '')) + ';' + \
str(info['fonbet'].get('summ_min', '')) + ';' + \
\
str(round((1 - info['fonbet'].get('l', 0.0)) * 100, 3)) + ';' + \
\
str(round((1 - info['fonbet'].get('l_fisrt', 0.0)) * 100, 3)) + ';' + \
\
str(info['fonbet'].get('err', '')) + ';' + \
str(info['olimp'].get('err', '')) + ';' + '\n'
header_str = ''
for cl in csv_head:
if header_str == '':
header_str = cl
else:
header_str = header_str + ';' + cl
header = header_str + ';\n'
if not os.path.isfile(csv_name):
with open(csv_name, 'w', encoding='utf-8') as f:
f.write(header + out)
else:
with open(csv_name, 'a+', encoding='utf-8') as f:
f.write(out)
file_name_log = str(ACC_ID) + '_client.log'
if os.path.isfile(file_name_log):
try:
new_file_name_log = cur_date_str + '_' + file_name_log
if not os.path.isfile(new_file_name_log):
os.rename(file_name_log, new_file_name_log)
else:
os.rename(
file_name_log,
new_file_name_log.replace(
'.',
datetime.now().strftime('%H_%M') + '.'))
except Exception as e:
prnt(e)
file_name_hide_log = str(ACC_ID) + '_client_hide.log'
if os.path.isfile(file_name_hide_log):
try:
new_file_name_hide_log = cur_date_str + '_' + file_name_hide_log
if not os.path.isfile(new_file_name_hide_log):
os.rename(file_name_hide_log, new_file_name_hide_log)
else:
os.rename(
file_name_hide_log,
new_file_name_hide_log.replace(
'.',
datetime.now().strftime('%H_%M') + '.'))
except Exception as e:
prnt(e)
file_name_cl_bet_log = str(ACC_ID) + '_to_cl_bet.log'
if os.path.isfile(file_name_cl_bet_log):
try:
new_file_name_cl_bet_log = cur_date_str + '_' + file_name_hide_log
if not os.path.isfile(new_file_name_cl_bet_log):
os.rename(file_name_cl_bet_log, new_file_name_cl_bet_log)
else:
os.rename(
file_name_cl_bet_log,
new_file_name_cl_bet_log.replace(
'.',
datetime.now().strftime('%H_%M') + '.'))
except Exception as e:
prnt(e)
file_name_cl_fork_log = str(ACC_ID) + '_to_cl_fork.log'
if os.path.isfile(file_name_cl_fork_log):
try:
new_file_name_cl_fork_log = cur_date_str + '_' + file_name_cl_fork_log
if not os.path.isfile(new_file_name_cl_fork_log):
os.rename(file_name_cl_fork_log, new_file_name_cl_fork_log)
else:
os.rename(
file_name_cl_fork_log,
new_file_name_cl_fork_log.replace(
'.',
datetime.now().strftime('%H_%M') + '.'))
except Exception as e:
prnt(e)
if os.path.isfile(file_name):
try:
new_id_fork = cur_date_str + '_' + file_name
if not os.path.isfile(new_id_fork):
os.rename(file_name, new_id_fork)
else:
os.rename(
file_name,
new_id_fork.replace('.',
datetime.now().strftime('%H_%M') +
'.'))
except Exception as e:
prnt(e)
if os.path.isfile(csv_name):
# send to tg
with open(csv_name, 'r', encoding='utf-8') as f:
db_model.Message.insert({
db_model.Message.to_user: USER_ID,
db_model.Message.blob: f.read(),
db_model.Message.file_name: csv_name,
db_model.Message.file_type: 'document'
}).execute()
try:
join_file_name = join_csv(cur_date_str)
except Exception as e:
prnt('def join_csv, error: ' + str(e))
def get_new_bets_fonbet(match_id, proxies, time_out=50):
key_id = str(match_id)
bets_fonbet = {}
try:
resp = requests_retry_session().get(
url_fonbet_match + str(match_id) + "&lang=en",
headers=fonbet_header2,
timeout=time_out,
verify=False,
proxies=proxies,
)
resp = resp.json()
TT = []
for bet in [TTO, TTU, TT1O, TT1U, TT2O, TT2U, FORA]:
TT.extend(bet)
for event in resp.get("events"):
# prnts(jsondumps(event, ensure_ascii=False))
# exit()
score = event.get('score', '0:0').replace('-', ':')
timer = event.get('timer')
minute = event.get('timerSeconds', 0) / 60
skId = event.get('skId')
skName = event.get('skName')
sport_name = event.get('sportName')
name = event.get('name')
priority = event.get('priority')
score_1st = event.get('scoreComment', '').replace('-', ':')
if event.get('parentId') == 0 or 'st half' in name or 'nd half' in name:
if event.get('parentId') == 0:
try:
bets_fonbet[key_id].update({
'sport_id': skId,
'sport_name': skName,
'league': sport_name,
'name': name,
'priority': priority,
'score': score,
'score_1st': score_1st,
'time': timer,
'minute': minute,
'time_req': round(time.time())
})
except Exception as e:
# print(e)
bets_fonbet[key_id] = {
'sport_id': skId,
'sport_name': skName,
'league': sport_name,
'name': name,
'priority': priority,
'score': score,
'score_1st': score_1st,
'time': timer,
'minute': minute,
'time_req': round(time.time()),
'time_change_total': round(time.time()),
'avg_change_total': [],
'kofs': {}
}
# prnts('event_name', event.get('name'))
half = ''
if 'st half' in name or 'nd half' in name:
half = name.replace('st half', '').replace('nd half', '')
for cat in event.get('subcategories'):
cat_name = cat.get('name')
# prnts('cat_name', cat_name)
if cat_name in ('1X2 (90 min)', '1X2', 'Goal - no goal', 'Total', 'Totals', 'Team Totals-1', 'Team Totals-2', 'Hcap'):
for kof in cat.get('quotes'):
factorId = str(kof.get('factorId'))
pValue = kof.get('pValue', '')
p = kof.get('p', '').replace('+', '')
kof_is_block = kof.get('blocked', False)
if kof_is_block:
value = 0
else:
value = kof.get('value')
# {'event': '12788610', 'factor': '921', 'param': '', 'score': '1:0', 'value': '1.25'}
for vct in VICTS:
coef = half + str(vct[0])
if str(vct[1]) == factorId:
bets_fonbet[key_id]['kofs'].update(
{
coef:
{
'time_req': round(time.time()),
'event': event.get('id'),
'value': value,
'param': '',
'factor': factorId,
'score': score
}
}
)
for stake in TT:
coef = half + str(stake[0].format(p)) # + num_team
if str(stake[1]) == factorId:
bets_fonbet[key_id]['kofs'].update(
{
coef:
{
'time_req': round(time.time()),
'event': event.get('id'),
'value': value,
'param': pValue,
'factor': factorId,
'score': score
}}
)
return bets_fonbet
except Exception as e:
prnt(e)
raise ValueError(e)
def get_vect(x, y, x2, y2):
y = y[-len(x):]
y2 = y2[-len(x2):]
kof_cur1 = y[-1]
kof_cur2 = y2[-1]
arr = list(zip(x, y))
x = []
y = []
n = 1
for p in arr:
for t in range(1, p[0]):
x.append(n)
y.append(p[1])
n += 1
arr2 = list(zip(x2, y2))
x2 = []
y2 = []
n2 = 1
for p2 in arr2:
for t2 in range(1, p2[0]):
x2.append(n2)
y2.append(p2[1])
n2 += 1
regr = linear_model.LinearRegression()
regr2 = linear_model.LinearRegression()
if x > x2:
x2 = x[-len(x2):]
n3 = min(x2)
else:
x = x2[-len(x):]
n3 = min(x)
x_max = max(x)
x2_max = max(x2)
p = list(zip(reversed(y), reversed(y2)))
x_predict1 = x[-1] + x_max
x_predict2 = x2[-1] + x2_max
for k in reversed(p):
k1, k2 = k[0], k[1]
if k1 and k2:
l = 1 / k1 + 1 / k2
if l < 1:
proc = (1 - l) * 100
if proc > 0:
if proc >= 3:
color = 'pink'
elif proc >= 2:
color = 'red'
elif proc >= 1:
color = 'yellow'
elif proc >= 0.5:
color = 'orange'
elif proc < 0.5:
color = 'black'
plt.plot([n3, n3],
[min(k1, k2) + 0.05,
max(k1, k2) - 0.05],
color=color,
markersize=1)
# live += 1
n3 += 1
plt.scatter(x, y, color='blue', marker=',')
plt.scatter(x2, y2, color='red', marker=',')
x_save, y_save = np.asarray(x).reshape(len(x), 1), np.asarray(y).reshape(
len(y), 1)
x2_save, y2_save = np.asarray(x2).reshape(len(x2),
1), np.asarray(y2).reshape(
len(y2), 1)
# x = x[-len(x2):]
# y = y[-len(x2):]
y, x = del_zerro(y, x)
y_for_check_noise = np.asarray(y).reshape(len(y), 1)
x_for_check_noise = np.asarray(x).reshape(len(x), 1)
# plt.scatter(x, y, color='blue', marker=',')
y, x = del_noise(y, x)
px, py = x[0], y[0]
px2, py2 = x[-1], y[-1]
x = np.asarray(x).reshape(len(x), 1)
y = np.asarray(y).reshape(len(y), 1)
regr.fit(x, y)
# x2 = x2[-len(x):]
# y2 = y2[-len(x):]
y2, x2 = del_zerro(y2, x2)
# plt.scatter(x2, y2, color='red', marker=',')
y2_for_check_noise = np.asarray(y2).reshape(len(y2), 1)
x2_for_check_noise = np.asarray(x2).reshape(len(x2), 1)
y2, x2 = del_noise(y2, x2)
ppx, ppy = x2[0], y2[0]
ppx2, ppy2 = x2[-1], y2[-1]
y2 = np.asarray(y2).reshape(len(y2), 1)
x2 = np.asarray(x2).reshape(len(x2), 1)
regr2.fit(x2, y2)
check_noise_up = list(
zip(y_for_check_noise,
regr.predict(x_for_check_noise) + get_std(y)))
check_noise_down = list(
zip(y_for_check_noise,
regr.predict(x_for_check_noise) - get_std(y)))
noise1 = 0
for n1 in check_noise_up:
if n1[0].tolist()[0] > n1[1].tolist()[0]:
noise1 = n1[0].tolist()[0]
break
if not noise1:
for n1 in check_noise_down:
if n1[0].tolist()[0] < n1[1].tolist()[0]:
noise1 = n1[0].tolist()[0]
break
# chech last kof is noise
k1_is_noise = 0
prnt('Fonbet: min: {}, cur: {}, max: {}'.format(check_noise_down[-1][1][0],
kof_cur1,
check_noise_up[-1][1][0]))
if check_noise_down[-1][1][0] > kof_cur1 or kof_cur1 > check_noise_up[-1][
1][0]:
k1_is_noise = kof_cur1
plt.plot(x_save,
regr.predict(x_save) + get_std(y),
color='blue',
linestyle='dotted',
markersize=1)
plt.plot(x_save,
regr.predict(x_save),
color='black',
linestyle='dashed',
markersize=1)
plt.plot(x_save,
regr.predict(x_save) - get_std(y),
color='blue',
linestyle='dotted',
markersize=1)
check_noise_up2 = list(
zip(y2_for_check_noise,
regr2.predict(x2_for_check_noise) + get_std(y2)))
check_noise_down2 = list(
zip(y2_for_check_noise,
regr2.predict(x2_for_check_noise) - get_std(y2)))
noise2 = 0
for n2 in check_noise_up2:
if n2[0].tolist()[0] > n2[1].tolist()[0]:
noise2 = n2[0].tolist()[0]
break
if not noise2:
for n2 in check_noise_down2:
if n2[0].tolist()[0] < n2[1].tolist()[0]:
noise2 = n2[0].tolist()[0]
break
# chech last kof is noise
k2_is_noise = 0
prnt('Olimp: min: {}, cur: {}, max: {}'.format(check_noise_down2[-1][1][0],
kof_cur2,
check_noise_up2[-1][1][0]))
if check_noise_down2[-1][1][0] > kof_cur2 or kof_cur2 > check_noise_up2[
-1][1][0]:
k2_is_noise = kof_cur2
plt.plot(x2_save,
regr2.predict(x2_save) + get_std(y2),
color='red',
linestyle='dotted',
markersize=1)
plt.plot(x2_save,
regr2.predict(x2_save),
color='black',
linestyle='dashed',
markersize=1)
plt.plot(x2_save,
regr2.predict(x2_save) - get_std(y2),
color='red',
linestyle='dotted',
markersize=1)
kof_predict11 = round(float(regr.predict([[x_max]])[0]), 2)
kof_predict21 = round(float(regr.predict([[x_predict1]])[0]), 2)
kof_predict12 = round(float(regr2.predict([[x2_max]])[0]), 2)
kof_predict22 = round(float(regr2.predict([[x_predict2]])[0]), 2)
if kof_predict21 > kof_predict11:
vect_fb = 'UP'
elif kof_predict21 == kof_predict11:
vect_fb = 'STAT'
else:
vect_fb = 'DOWN'
prnt('Fonbet: {}, {}->{}. {}. Noise: {}. Last_noise: {}'.format(
vect_fb, kof_predict11, kof_predict21, kof_cur1, noise1, k1_is_noise))
if kof_predict22 > kof_predict12:
vect_ol = 'UP'
elif kof_predict22 == kof_predict12:
vect_ol = 'STAT'
else:
vect_ol = 'DOWN'
prnt('Olimp: {}, {}->{}. {}. Noise: {}. Last_noise: {}'.format(
vect_ol, kof_predict12, kof_predict22, kof_cur2, noise2, k2_is_noise))
return vect_fb, vect_ol, noise1, noise2, k1_is_noise, k2_is_noise, plt
def reject_outliers(data):
data = np.asarray(data)
prnt('mean: {}, std: {}, std*noise: {}'.format(np.mean(data), np.std(data),
noise * np.std(data)))
return data[abs(data - np.mean(data)) <= noise * np.std(data)].tolist()
vect1, vect2 = 'UP', 'DOWN'
ACC_ID = 0
ml_ok = False
real_vect2, real_vect1, noise2, noise1, k2_is_noise, k1_is_noise, plt = get_vect(
x, y, x2, y2)
from better import save_plt
filename = 'test'.replace('.', '')
# ML #1 - CHECK VECTS
if check_vect(real_vect1, real_vect2) and check_noise(
noise1, noise2) and sum(x) >= 2 <= sum(x2):
ml_ok = True
prnt(
'Fork key: ' + str(filename) +
', успешно прошел проверку 1 (векторы строго сонаправлены и нет шума)'
)
if vect1 != real_vect1:
prnt('Вектор в Олимп измнен: {}->{}'.format(vect1, real_vect1))
# shared['olimp']['vect'] = real_vect1
if vect2 != real_vect2:
prnt('Вектор в Фонбет измнен: {}->{}'.format(vect2, real_vect2))
# shared['fonbet']['vect'] = real_vect2
save_plt(str(ACC_ID) + '_I_ok', filename, plt)
else:
prnt('Fork key: ' + str(filename) +
', не прошел проверку 1 (векторы строго сонаправлены и нет шума)')
save_plt(str(ACC_ID) + '_I_err', filename, plt)
# ML #2 CHECK CREATER-NOISE
if not ml_ok: