def __init__(self, cfg, args, video_path):
rospy.init_node('coordinate_publisher')
rospy.loginfo('Video stream has started')
self.cfg = cfg
self.args = args
self.video_path = video_path
self.logger = get_logger("root")
use_cuda = args.use_cuda and torch.cuda.is_available()
if not use_cuda:
warnings.warn("Running in cpu mode which maybe very slow!",
UserWarning)
if args.display:
cv2.namedWindow("test", cv2.WINDOW_NORMAL)
cv2.resizeWindow("test", args.display_width, args.display_height)
if args.cam != -1:
print("Using webcam " + str(args.cam))
self.vdo = cv2.VideoCapture(args.cam)
else:
self.vdo = cv2.VideoCapture()
self.detector = build_detector(cfg, use_cuda=use_cuda)
self.deepsort = build_tracker(cfg, use_cuda=use_cuda)
self.class_names = self.detector.class_names
def __init__(self, cfg):
self.gpu_id = cfg.SYSTEM.GPU_ID
self.num_workers = cfg.SYSTEM.NUM_WORKERS
self.train_dir = cfg.DATASET.TRAIN_DIR
self.val_dir = cfg.DATASET.VAL_DIR
self.test_dir = cfg.DATASET.TEST_DIR
self.sub_dir = cfg.OUTPUT_DIR.SUB_DIR
self.log_dir = cfg.OUTPUT_DIR.LOG_DIR
self.out_dir = cfg.OUTPUT_DIR.OUT_DIR
self.model_name = cfg.MODEL.MODEL_NAME
self.train_batch_size = cfg.TRAIN_PARAM.TRAIN_BATCH_SIZE
self.val_batch_size= cfg.TRAIN_PARAM.VAL_BATCH_SIZE
self.test_batch_size = cfg.TRAIN_PARAM.TEST_BATCH_SIZE
self.momentum = cfg.TRAIN_PARAM.MOMENTUM
self.weight_decay = cfg.TRAIN_PARAM.WEIGHT_DECAY
self.num_epochs = cfg.TRAIN_PARAM.NUM_EPOCHS
self.lr = cfg.TRAIN_PARAM.LR
self.val_interval = cfg.TRAIN_PARAM.VAL_INTERVAl
self.print_interval = cfg.TRAIN_PARAM.PRINT_INTERVAL
self.min_save_epoch = cfg.TRAIN_PARAM.MIN_SAVE_EPOCH
self.real_json = '69.json'
create_dir(self.sub_dir)
create_dir(self.out_dir)
create_dir(self.log_dir)
create_dir(os.path.join(self.sub_dir,self.model_name))
create_dir(os.path.join(self.out_dir,self.model_name))
self.logger = get_logger(os.path.join(self.log_dir, self.model_name+'.log'))
def tickers_command(args):
logger = get_logger('tickers_command')
sql = '''
INSERT INTO tiingo_ticker_list (ticker, start_date, end_date, asset_type, exchange, price_currency, updated_on)
VALUES (%(ticker)s, %(startDate)s, %(endDate)s, %(assetType)s, %(exchange)s, %(priceCurrency)s, current_date)
ON CONFLICT (ticker) DO UPDATE
SET start_date = excluded.start_date,
end_date = excluded.end_date,
asset_type = excluded.asset_type,
exchange = excluded.exchange,
price_currency = excluded.price_currency,
updated_on = current_date;
'''
stocks = tiingohelper.client.list_stock_tickers()
logger.info('[%d] stocks are returned from Tiingo.', len(stocks))
stocks = process_tickers_data(stocks)
if args.yes:
pg.insert(sql, stocks)
logger.info('Stocks are updated.')
etfs = tiingohelper.client.list_etf_tickers()
logger.info('[%d] ETFs are returned from Tiingo.', len(etfs))
etfs = process_tickers_data(etfs)
if args.yes:
pg.insert(sql, etfs)
logger.info('ETFs are updated.')
funds = tiingohelper.client.list_fund_tickers()
logger.info('[%d] funds are returned from Tiingo.', len(funds))
funds = process_tickers_data(funds)
if args.yes:
pg.insert(sql, funds)
logger.info('Funds are updated.')
def __init__(self, args):
self.logger = get_logger('root')
self.txt_logger = txt_logger(
os.path.join(args.save_path, args.dataset_name, 'info.txt'))
self.dataset_name = args.dataset_name
self.images_path = os.path.join(args.image_sequence_path,
self.dataset_name, "img1")
assert os.path.isdir(self.images_path), "Images path error"
self.imgs_filenames = os.listdir(
os.path.join(args.image_sequence_path, self.dataset_name, "img1"))
self.frame_length = len(self.imgs_filenames)
self.gt_file_path = os.path.join(args.image_sequence_path,
self.dataset_name, "gt/gt.txt")
assert os.path.isfile(self.gt_file_path), "gt file path error"
self.save_path = os.path.join(args.save_path, self.dataset_name)
os.makedirs(os.path.join(self.save_path, 'train'), exist_ok=True)
self.frame_interval = args.frame_interval
self.train_rate = args.train_rate
self.end_frame = int(self.frame_length * self.train_rate) - 1
first_img = cv2.imread(
os.path.join(self.images_path, self.imgs_filenames[0]))
self.im_width = first_img.shape[1]
self.im_height = first_img.shape[0]
def __init__(self, cfg, args, video_path):
self.cfg = cfg
self.args = args
self.video_path = video_path
self.logger = get_logger("root")
self.logger.info(f"Video rate is {self.video_path}")
use_cuda = args.use_cuda and torch.cuda.is_available()
if not use_cuda:
warnings.warn("Running in cpu mode which maybe very slow!",
UserWarning)
if args.display:
cv2.namedWindow("test", cv2.WINDOW_NORMAL)
cv2.resizeWindow("test", args.display_width, args.display_height)
if args.cam != -1:
print("Using webcam " + str(args.cam))
self.vdo = cv2.VideoCapture(args.cam)
else:
self.vdo = cv2.VideoCapture()
# Uniformly sample frames to save resources
# Copy the previous result when a frame is skipped
self.logger.info(f"Sample rate is {args.sample_rate}")
self.skip_frame = int(1 / args.sample_rate)
self.logger.info(f"Detection model is set to {args.detection_model}")
self.detector = build_detector(args.detection_model,
cfg,
use_cuda=use_cuda)
self.deepsort = build_tracker(cfg, use_cuda=use_cuda)
self.class_names = self.detector.class_names
self.temp_tesult = []
def status_command(args):
logger = get_logger('status_command')
files = os.listdir(args.inputdir)
files = fnmatch.filter(files, '*.csv.gz')
ds = {}
for f in files:
name, rest = f.split('_', 1)
timestamp, _ = rest.split('.', 1)
if name not in ds:
ds[name] = set()
ds[name].add(timestamp)
tables = dict([(x[1], x[0]) for x in dataset.DATASET])
rst = {}
for name in ds:
timestamps = ds[name]
if name not in tables:
raise Exception('No table found for dataset [%s].' % name)
tblname = tables[name]
tmp = pg.select('select quote_date, count(1) as count from %(table)s group by quote_date' % {'table': tblname})
dates = set([x[0].strftime('%Y-%m-%d') for x in tmp])
missing = sorted(list(timestamps - dates))
rst[name] = {'Table': tblname, 'Count': len(missing), 'Missing': '\n'.join(missing)}
console.print_table(rst)
def __init__(self, args):
self.logger = get_logger('root')
self.txt_logger = txt_logger(
os.path.join(args.save_path, args.dataset_name, 'info.txt'))
self.dataset_name = args.dataset_name
self.images_path = os.path.join(args.image_sequence_path,
self.dataset_name, "img1")
assert os.path.isdir(self.images_path), "Images path error"
self.gt_file_path = os.path.join(args.image_sequence_path,
self.dataset_name, "gt/gt.txt")
assert os.path.isfile(self.gt_file_path), "gt file path error"
self.save_path = os.path.join(args.save_path, self.dataset_name)
if os.path.exists(self.save_path):
shutil.rmtree(self.save_path)
os.makedirs(os.path.join(self.save_path, 'train'), exist_ok=True)
os.makedirs(os.path.join(self.save_path, 'test'), exist_ok=True)
os.makedirs(os.path.join(self.save_path, 'query'), exist_ok=True)
self.sampling_rate = args.sampling_rate
self.sampled_imgs_filenames = self.sample_frames()
self.partition_rate = args.partition_rate
self.gt_result = []
self.id_set = {'train_id_set': set(), 'test_id_set': set()}
self.id_list = []
self.id_images_details = {}
first_img = cv2.imread(
os.path.join(self.images_path, self.sampled_imgs_filenames[0]))
self.im_width = first_img.shape[1]
self.im_height = first_img.shape[0]
def __init__(self, trader_api, user_id, password, tradingday):
self.logger = log.get_logger(category="TraderSpi")
shfetraderapi.CShfeFtdcTraderSpi.__init__(self)
self.trader_api = trader_api
self.userId = user_id
self.password = password
self.tradingday = tradingday
self.is_connected = False
self.is_logined = False
self.cache_md_status = dict()
self.request_id = 0
self.lock = threading.Lock()
self.private_worker = False
# 初始化锁文件【防止多进程重复擦送合约状态信息】
try:
os.mknod("private_worker.con", 0600)
self.private_worker = True
except OSError:
pass
def test():
model.load(os.path.join(save_dir, 'model.tar'))
model.build_test_loader()
accm = Accumulator(*model.test_metrics)
logger = get_logger(exp_id, os.path.join(save_dir, 'test.log'))
model.test(accm)
logger.info(accm.info(header='test'))
def __init__(self, desc):
self.desc = desc
# A dictionary of Config Parameters
self.config = get_default_argument(desc=self.desc)
self.project_dir = self.config['project_dir'] if self.config['project_dir'] != "" \
else str(BASE_DIR)
self.project_log = self.config["project_log"]
if not exists(self.project_log):
self.project_log = join(os.path.dirname(self.project_dir), 'logs',
'log.txt')
create_dir(os.path.dirname(self.project_log))
# logger interface
self.isDebug = self.config['debug']
self.logger = get_logger(self.desc, self.project_log, self.isDebug)
if self.config['config'] is not None:
with open(self.config['config']) as config_file:
import yaml
config_content = yaml.safe_load(config_file)
pass
else:
pass
self.data = self.config["data"]
init_rng(seed=0)
warnings.filterwarnings('ignore')
def __init__(self, bot):
self.logger = get_logger(__name__)
self.bot = bot
# Override default event exception handling
self.bot.on_error = self.on_error
self.last_error = []
def __init__(self, cfg, args, video_path):
self.cfg = cfg
self.args = args
self.video_path = video_path
self.logger = get_logger("root")
use_cuda = args.use_cuda and torch.cuda.is_available()
if not use_cuda:
warnings.warn("Running in cpu mode which maybe very slow!",
UserWarning)
if args.display:
cv2.namedWindow("test", cv2.WINDOW_NORMAL)
cv2.resizeWindow("test", args.display_width, args.display_height)
if args.cam != -1:
print("Using webcam " + str(args.cam))
self.vdo = cv2.VideoCapture(args.cam)
else:
# 把一个ViedeoCapture 类 赋值给vdo 实例
# 这个实例 包含 open method 可以
self.vdo = cv2.VideoCapture()
# 返回 yolov3 和 deepsort 的实例对象
self.detector = build_detector(cfg, use_cuda=use_cuda)
self.deepsort = build_tracker(cfg, use_cuda=use_cuda)
self.class_names = self.detector.class_names # ????
def get_current_tradingday(context, conf):
logger = log.get_logger(category="GetTradingDay")
logger.info("[get tradingday with %s] begin" %
(json.dumps(conf, encoding="UTF-8", ensure_ascii=False), ))
current_trading_day = ""
trade_system_id = conf.get("tradeSystemId")
mysql_pool = mysql(configs=context.get("mysql").get(conf.get("mysqlId")))
mysql_conn = mysql_pool.get_cnx()
mysql_conn.set_charset_collation('utf8')
try:
cursor = mysql_conn.cursor()
logger.info("[get current trading day]......")
sql = """SELECT t1.tradingday FROM siminfo.t_tradesystemtradingday t1 WHERE t1.tradesystemid = %s"""
cursor.execute(sql, (trade_system_id, ))
row = cursor.fetchone()
current_trading_day = str(row[0])
logger.info("[get current trading day] current_trading_day = %s" %
(current_trading_day))
finally:
mysql_conn.close()
logger.info("[get tradingday with %s] end" %
(json.dumps(conf, encoding="UTF-8", ensure_ascii=False), ))
return current_trading_day
def start_md_service(context, conf):
logger = log.get_logger(category="MdService")
logger.info("[start stock md service with %s] begin" %
(json.dumps(conf, encoding="UTF-8", ensure_ascii=False)))
exchange_conf = context.get("exchange").get(conf.get("targetExchangeId"))
exchange_front_addr = str(exchange_conf["mdAddress"])
user_id = conf["userId"]
password = conf["password"]
topic_id_list = conf["topicId"]
xmq_target_conf = context.get("xmq").get(conf.get("targetMQ"))
target_mq_addr = xmq_target_conf["address"]
target_mq_topic = xmq_target_conf["topic"]
msg_queue_pusher = xmq_queue_pusher(target_mq_addr, target_mq_topic)
md_api = shfemdapi.CShfeFtdcMduserApi_CreateFtdcMduserApi()
md_handler = MdHandler(md_api, user_id, password)
for topic_id in topic_id_list:
md_api.SubscribeMarketDataTopic(topic_id, shfemdapi.TERT_QUICK)
md_api.RegisterFront(exchange_front_addr)
md_api.RegisterSpi(md_handler)
md_handler.set_msg_puber(msg_queue_pusher)
md_api.Init()
while not md_handler.is_logined:
time.sleep(1)
md_api.Join()
def __init__(self, trigger):
super().__init__()
if not hasattr(self, 'logger'):
self.logger = get_logger(__class__.__name__)
self.trigger = trigger
def __init__(self, cfg, args, video_path, video_bar, vt_box_dict):
self.cfg = cfg
self.args = args
self.video_path = video_path
self.video_name = os.path.splitext(os.path.split(video_path)[1])[0]
self.logger = get_logger("root")
self.video_bar = video_bar
self.vt_box_dict = vt_box_dict
use_cuda = args.use_cuda and torch.cuda.is_available()
if not use_cuda:
warnings.warn("Running in cpu mode which maybe very slow!",
UserWarning)
if args.display:
cv2.namedWindow("test", cv2.WINDOW_NORMAL)
cv2.resizeWindow("test", args.display_width, args.display_height)
if args.cam != -1:
print("Using webcam " + str(args.cam))
self.vdo = cv2.VideoCapture(args.cam)
else:
self.vdo = cv2.VideoCapture()
self.detector = build_detector(cfg, use_cuda=use_cuda)
self.deepsort = build_tracker(cfg, use_cuda=use_cuda)
self.class_names = self.detector.class_names
def snap_data(context, conf):
result_code = 0
logger = log.get_logger(category="SnapData")
broker_system_id = conf.get("brokerSystemId")
logger.info("[snap data %s] begin" %
(json.dumps(conf, encoding="UTF-8", ensure_ascii=False)))
mysql_pool = mysql(configs=context.get("mysql").get(conf.get("mysqlId")))
mysql_conn = mysql_pool.get_cnx()
mysql_conn.set_charset_collation('utf8')
try:
mysql_conn.start_transaction()
cursor = mysql_conn.cursor()
logger.info("[snap t_activityinvestorevaluation]......")
sql = """INSERT INTO snap.t_s_activityinvestorevaluation(TradingDay,ActivityID,TermNo,InvestorID,InitialAsset,PreAsset,CurrentAsset,TotalReturnRate,ReturnRateOf1Day,RankingStatus,PreRanking,Ranking)
SELECT DATE_FORMAT(NOW(), '%Y%m%d'),ActivityID,TermNo,InvestorID,InitialAsset,PreAsset,CurrentAsset,TotalReturnRate,ReturnRateOf1Day,RankingStatus,PreRanking,Ranking
FROM siminfo.t_activityinvestorevaluation"""
cursor.execute(sql)
mysql_conn.commit()
except Exception as e:
logger.error("[snap data] Error: %s" % e)
result_code = -1
finally:
mysql_conn.close()
logger.info("[snap data] end")
return result_code
def execute_command(context, conf):
logger = log.get_logger(category="ServiceShell")
logger.info("[service shell with %s] begin" %
(json.dumps(conf, encoding="UTF-8", ensure_ascii=False), ))
hosts_config = context.get("hosts")
host_id = conf.get("host")
command = conf.get("command")
parameters = conf.get("parameters", None)
if parameters is not None:
for parameter in parameters:
command = command.replace("@%s@" % parameter,
parameters.get(parameter))
host_config = hosts_config.get(host_id)
rsh = rshell(host_config)
rsh.connect()
stdin, stdout, stderr = rsh.execute(command)
for line in stdout.readlines():
line = line.replace("\n", "")
print("\033[1;32m %s \033[0m" % line)
for line in stderr.readlines():
os.sys.stderr.write(line)
rsh.disconnect()
logger.info("[service shell with %s] end" %
(json.dumps(conf, encoding="UTF-8", ensure_ascii=False), ))
def __init__(self, **kwargs):
self.logger = log.get_logger(category="MdSpi")
shfemdapi.CShfeFtdcMduserSpi.__init__(self)
self.api = kwargs.get("api")
self.uid = kwargs.get("uid")
self.pwd = kwargs.get("pwd")
self.mysql = kwargs.get("mysql")
self.redis_raw = kwargs.get("redis_raw")
self.redis_adv = kwargs.get("redis_adv")
self.exchange = kwargs.get("exchange")
self.sgid = kwargs.get("settlementgroup")
self.file = kwargs.get("file")
self.is_connected = False
self.is_login = False
self.context = {}
self.threadContext = {}
self.request_id = 0
self.lock = threading.Lock()
# 缓存csv数据
self.attr = dict()
if self.file is not None:
with open(path.convert(self.file)) as f:
for line in f:
line = line.replace("\r\n", "").split(",")
self.attr.update({line[0]: line[1]})
def start_server(context, conf):
logger = log.get_logger(category="PubSubServer")
logger.info("[start pubsub server with %s] begin" % (json.dumps(conf, encoding="UTF-8", ensure_ascii=False)))
xmq_conf = context.get("xmq").get(conf.get("xmqServerId"))
pub_addr = xmq_conf["pubAddress"]
sub_addr = xmq_conf["subAddress"]
context = zmq.Context(1)
frontend = context.socket(zmq.XSUB)
frontend.setsockopt(zmq.RCVHWM, 20000)
frontend.setsockopt(zmq.SNDHWM, 20000)
frontend.bind(pub_addr)
backend = context.socket(zmq.XPUB)
backend.setsockopt(zmq.RCVHWM, 20000)
backend.setsockopt(zmq.SNDHWM, 20000)
backend.bind(sub_addr)
zmq.device(zmq.QUEUE, frontend, backend)
frontend.close()
backend.close()
context.term()
def reserve_accounts(context, conf):
mysql_pool = mysql(configs=context.get("mysql").get(conf.get("mysqlId")))
logger = log.get_logger(category="ReserveAccounts")
logger.info("[reserve accounts with %s] begin" % (json.dumps(conf, encoding="UTF-8", ensure_ascii=False)))
mysql_conn = mysql_pool.get_cnx()
mysql_conn.set_charset_collation('utf8')
try:
mysql_conn.start_transaction()
cursor = mysql_conn.cursor()
sql = """UPDATE siminfo.t_investor t SET t.investorstatus = '6' WHERE t.investorstatus = '0' AND t.investorid < '00001000'"""
cursor.execute(sql)
sql = """UPDATE siminfo.t_investor t SET t.investorstatus = '6' WHERE t.investorstatus = '0' AND t.investorid REGEXP '^0*(1{2,8}|2{2,8}|3{2,8}|5{2,8}|6{2,8}|7{2,8}|8{2,8}|9{2,8})$'"""
cursor.execute(sql)
mysql_conn.commit()
except Exception as e:
logger.error("[reserve accounts] Error: %s" % (e))
finally:
mysql_conn.close()
logger.info("[reserve accounts with %s] end" % (json.dumps(conf, encoding="UTF-8", ensure_ascii=False)))
def __init__(self, **kwargs):
self.logger = get_logger(__name__)
for key, value in kwargs.items():
setattr(self, key, value)
s_dim = self.env.observation_space.shape[0]
a_dim = self.env.action_space.shape[0]
if device.type == 'cuda':
self.actor = Actor(s_dim, 128, a_dim).cuda()
self.actor_target = Actor(s_dim, 128, a_dim).cuda()
self.critic = Critic(s_dim + a_dim, 128, a_dim).cuda()
self.critic_target = Critic(s_dim + a_dim, 128, a_dim).cuda()
else:
assert device.type == 'cpu'
self.actor = Actor(s_dim, 128, a_dim)
self.actor_target = Actor(s_dim, 128, a_dim)
self.critic = Critic(s_dim + a_dim, 128, a_dim)
self.critic_target = Critic(s_dim + a_dim, 128, a_dim)
self.actor_optim = optim.Adam(
self.actor.parameters(), lr=self.actor_lr)
self.critic_optim = optim.Adam(
self.critic.parameters(), lr=self.critic_lr)
self.buffer = []
self.actor_target.load_state_dict(self.actor.state_dict())
self.critic_target.load_state_dict(self.critic.state_dict())
def __init__(self, cfg, args, video_path):
self.cfg = cfg
self.args = args
self.video_path = video_path
self.logger = get_logger("root")
# delete all files
# for f in glob.glob("./data/*"):
# os.remove(f)
self.status_dict = {0: "OK", 1: "ACQUIRED", 2: "VIOLATION"}
self.telegram_bot = telegram()
use_cuda = args.use_cuda and torch.cuda.is_available()
if not use_cuda:
warnings.warn("Running in cpu mode which maybe very slow!",
UserWarning)
if args.display:
cv2.namedWindow("test", cv2.WINDOW_NORMAL)
cv2.resizeWindow("test", args.display_width, args.display_height)
if args.cam != -1:
print("Using webcam " + str(args.cam))
# self.vdo = cv2.VideoCapture(args.cam)
self.vdo = cv2.VideoCapture(args.cam)
else:
self.vdo = cv2.VideoCapture()
self.detector = build_detector(cfg, use_cuda=use_cuda)
self.deepsort = build_tracker(cfg, use_cuda=use_cuda)
self.class_names = self.detector.class_names
self.H = get_homography()
def __init__(self, cfg, args, image_path, save_filename, im_width,
im_height):
self.cfg = cfg
self.args = args
self.image_path = image_path
self.logger = get_logger("root")
self.save_filename = save_filename
self.im_width = im_width
self.im_height = im_height
use_cuda = args.use_cuda and torch.cuda.is_available()
if not use_cuda:
warnings.warn("Running in cpu mode which maybe very slow!",
UserWarning)
# if args.display:
# cv2.namedWindow("test", cv2.WINDOW_NORMAL)
# cv2.resizeWindow("test", args.display_width, args.display_height)
# if args.cam != -1:
# print("Using webcam " + str(args.cam))
# self.vdo = cv2.VideoCapture(args.cam)
# else:
# self.vdo = cv2.VideoCapture()
self.detector = detect(is_xywh=True, use_cuda=True)
#print(self.detector)
self.deepsort = build_tracker(cfg, use_cuda=use_cuda)
def load_file(filename):
'''
load_file(filename) -> module
Loads python module with specified filename.
'''
dirname = os.path.dirname(filename)
dirname = os.path.abspath(dirname)
modulename = os.path.basename(filename)
modulename = modulename.rsplit('.', 1)[0]
if dirname:
sys.path.insert(0, dirname)
mod = None
try:
#print sys.path
mod = __import__(modulename, {}, {}, [''])
reload(mod)
except:
errinfo = traceback.format_exc()
_log = get_logger('smartcube.util.load_file')
_log.error(errinfo)
if dirname:
del sys.path[0]
return mod
def publish_future(context, conf):
result_code = 0
logger = log.get_logger(category="PublishfutureExchange")
mysql_pool = mysql(configs=context.get("mysql").get(conf.get("mysqlId")))
mysql_conn = mysql_pool.get_cnx()
mysql_conn.set_charset_collation('utf8')
trade_system_id = conf.get("tradeSystemId")
logger.info("[publish future exchange %s] begin" %
(json.dumps(conf, encoding="UTF-8", ensure_ascii=False)))
try:
mysql_conn.start_transaction()
cursor = mysql_conn.cursor()
logger.info("[get current trading day]......")
sql = """SELECT DISTINCT t1.tradingday
FROM siminfo.t_tradesystemtradingday t1
WHERE t1.tradesystemid = %s"""
cursor.execute(sql, (trade_system_id, ))
row = cursor.fetchone()
current_trading_day = str(row[0])
logger.info("[get current trading day] current_trading_day = %s" %
current_trading_day)
logger.info("[get next trading day]......")
# 判断是否跳过节假日
holiday = conf.get("holiday")
if holiday is True or holiday is None:
sql = """SELECT DAY FROM siminfo.t_TradingCalendar t WHERE t.day > %s AND t.tra = '1' ORDER BY DAY LIMIT 1"""
else:
sql = """SELECT DAY FROM siminfo.t_TradingCalendar t WHERE t.day > %s ORDER BY DAY LIMIT 1"""
cursor.execute(sql, (current_trading_day, ))
row = cursor.fetchone()
next_trading_day = str(row[0])
logger.info("[get next trading day] next_trading_day = %s" %
next_trading_day)
# 更新交易所系统交易日
logger.info("[update trade system tradingday]......")
sql = """UPDATE siminfo.t_tradesystemtradingday t1
SET t1.tradingday = %s, t1.lasttradingday = %s
WHERE t1.tradingday = %s AND t1.tradesystemid = %s"""
cursor.execute(sql, (next_trading_day, current_trading_day,
current_trading_day, trade_system_id))
mysql_conn.commit()
except Exception as e:
logger.error("[publish future exchange] Error: %s" % e)
result_code = -1
finally:
mysql_conn.close()
logger.info("[publish future exchange] end")
return result_code
def __init__(self, args):
self.logger = get_logger('root')
self.txt_logger = txt_logger(os.path.join(args.save_path, args.dataset_name, 'info.txt'))
self.dataset_name = args.dataset_name
self.images_path = os.path.join(args.image_sequence_path, self.dataset_name, "img1")
assert os.path.isdir(self.images_path), "Images path error"
self.track_result_path = os.path.join(args.track_result_path, f'{self.dataset_name}.txt')
assert os.path.isfile(self.track_result_path), "Tracking result path error"
self.save_path = os.path.join(args.save_path, self.dataset_name)
if os.path.exists(self.save_path):
shutil.rmtree(self.save_path)
os.makedirs(os.path.join(self.save_path, 'train'), exist_ok=True)
os.makedirs(os.path.join(self.save_path, 'test'), exist_ok=True)
os.makedirs(os.path.join(self.save_path, 'query'), exist_ok=True)
self.sampling_rate = args.sampling_rate
self.sampled_imgs_filenames = self.sample_frames()
self.partition_rate = args.partition_rate
self.track_result = []
self.id_set = {'train_id_set': set(), 'test_id_set': set()}
self.id_list = []
self.id_images_details = {}
def start_server(context, conf):
logger = log.get_logger(category="PushPullServer")
logger.info("[start pushpull server with %s] begin" % (json.dumps(conf, encoding="UTF-8", ensure_ascii=False)))
xmq_conf = context.get("xmq").get(conf.get("xmqServerId"))
push_addr = xmq_conf["pushAddress"]
pull_addr = xmq_conf["pullAddress"]
context = zmq.Context()
frontend = context.socket(zmq.PULL)
frontend.setsockopt(zmq.RCVHWM, 20000)
frontend.setsockopt(zmq.SNDHWM, 20000)
frontend.bind(push_addr)
backend = context.socket(zmq.PUSH)
backend.setsockopt(zmq.RCVHWM, 20000)
backend.setsockopt(zmq.SNDHWM, 20000)
backend.bind(pull_addr)
zmq.device(zmq.STREAMER, frontend, backend)
frontend.close()
backend.close()
context.term()
def start_md_service(context, conf):
logger = log.get_logger(category="MdService")
logger.info("[start stock md service with %s] begin" %
(json.dumps(conf, encoding="UTF-8", ensure_ascii=False)))
# 获取API连接地址
exchange_conf = context.get("exchange").get(conf.get("targetExchangeId"))
exchange_front_addr = str(exchange_conf["mdAddress"])
# 获取行情用户
user_id = conf["userId"]
password = conf["password"]
# 建立mysql数据库连接
mysqlDB = mysql(configs=context.get("mysql")[conf.get("mysqlId")])
# 建立redis RAW库
redis_conf = context.get("redis").get(conf.get("redis_row"))
pool = redis.ConnectionPool(host=redis_conf.get('host'),
port=redis_conf.get('port'),
password=redis_conf.get('password'),
db=redis_conf.get('db'))
redis_raw = redis.Redis(connection_pool=pool)
# 建立redis ADV库
redis_conf = context.get("redis").get(conf.get("redis_adv"))
pool = redis.ConnectionPool(host=redis_conf.get('host'),
port=redis_conf.get('port'),
password=redis_conf.get('password'),
db=redis_conf.get('db'))
redis_adv = redis.Redis(connection_pool=pool)
# 建立API对象
md_api = shfemdapi.CShfeFtdcMduserApi_CreateFtdcMduserApi(
str(conf.get("exchange")))
md_handler = MdHandler(api=md_api,
uid=user_id,
pwd=password,
mysql=mysqlDB,
redis_raw=redis_raw,
redis_adv=redis_adv,
settlementgroup=conf.get("settlementgroup"),
exchange=conf.get("exchange"),
file=conf.get("filepath"))
sql = "select TopicID from siminfo.t_marketdatatopic where SettlementGroupID = %s"
result = mysqlDB.select(sql, (conf.get("settlementgroup"), ))
for topic_id in result:
md_api.SubscribeMarketDataTopic(topic_id[0], shfemdapi.TERT_RESTART)
md_api.RegisterFront(exchange_front_addr)
md_api.RegisterSpi(md_handler)
md_api.Init()
while not md_handler.is_login:
time.sleep(1)
md_api.Join()
async def when_ready(bot, ext_list):
"""Wait until the bot is ready, then load extensions.
"""
await bot.wait_until_ready()
logger = get_logger(__name__)
logger.info('Logged in as %s, id: %s', bot.user.name, bot.user.id)
load_extensions(bot, ext_list)
def __init__(self, bot, config):
self.logger = get_logger(__name__)
self.bot = bot
self.config = config
self.client = Client(loop=bot.loop)
self.client.event(self.on_ready)
self.client.event(self.on_message)
self._embed_colour_cache = {}
bot.loop.create_task(self.client.start(config["token"]))
def __init__(self, widget):
super().__init__(widget)
# Add logger to this class (if it doesn't have one already)
if not hasattr(self, 'logger'):
self.logger = get_logger(__class__.__name__)
# self.setAcceptHoverEvents(True)
self._zoom = 0
self.scale(0.3, 0.3)
def __init__(self, bot: commands.Bot):
logger = get_logger(__name__)
if EsiCog._esi_app_task is None:
logger.info("Creating esipy App...")
EsiCog._esi_app_task = bot.loop.run_in_executor(
None, self._create_esi_app)
EsiCog._esi_app_task.add_done_callback(
lambda f: logger.info("esipy App created"))
def load_module(modulename):
mod = None
try:
mod = __import__(modulename, {}, {}, [''])
reload(mod)
except:
errinfo = traceback.format_exc()
_log = get_logger('smartcube.util.load_module')
_log.error(errinfo)
return mod
def execute_command(args, stdin = '', **kwargs):
logger = log.get_logger('execute_command')
if isinstance(args, (tuple, list)):
args = [str(e) for e in args]
logger.debug('Execute command [%s].' % ' '.join(args))
p = Popen(args, stdin = PIPE, stdout = PIPE, stderr = PIPE, **kwargs)
out, err = p.communicate(stdin)
return p.returncode, out, err
def __init__(self, config:dict, filename:str):
"""Set up api and logger instances for later use.
Arguments:
config: Config dictionary created on start up.
filename: The name of the file to be used during logging.
"""
# store config, mainly for use in `log_in_out`
self.config = config
# store api and log references
self.api = config.get('api')
self.log = get_logger(config, filename)
def main():
"""
The main process
Setup logging and instantiate the gatherer
"""
# Get the commandline args
commandline_args = get_commandline()
# Get the environmental variables
environmental_vars = usite.get_environmental_variables()
site = commandline_args.site
# If no commandline site, look to environmental args
if site == None:
site = environmental_vars["RAPD_SITE"]
# Determine the site
site_file = usite.determine_site(site_arg=site)
# Handle no site file
if site_file == False:
print text.error+"Could not determine a site file. Exiting."+text.stop
sys.exit(9)
# Import the site settings
SITE = importlib.import_module(site_file)
# Single process lock?
ulock.file_lock(SITE.GATHERER_LOCK_FILE)
# Set up logging
if commandline_args.verbose:
log_level = 10
else:
log_level = SITE.LOG_LEVEL
logger = ulog.get_logger(logfile_dir="/tmp",
logfile_id="rapd_gatherer",
level=log_level
)
logger.debug("Commandline arguments:")
for pair in commandline_args._get_kwargs():
logger.debug(" arg:%s val:%s" % pair)
# Instantiate the Gatherer
GATHERER = Gatherer(site=SITE,
overwatch_id=commandline_args.overwatch_id)
def __init__(self, org, client_id=None, client_secret=None):
"""
:param org: github org name
:type org: unicode
:param client_id: github app client id
:type client_id: unicode
:param client_secret: github app client secret
:type client_secret: unicode
"""
self._logger = log.get_logger('PopularGithubRepoFinder')
self._client = Client(
user_agent='popular-github-repo-finder',
client_id=client_id,
client_secret=client_secret,
)
self._org = org
self._all_repos = self._get_all_repos()
def metadata_command(args):
logger = get_logger('metadata_command')
counter = count.Counter()
newtickers = pg.select('''
SELECT a.ticker
FROM tiingo_ticker_list a
LEFT OUTER JOIN tiingo_ticker_metadata b
ON a.ticker = b.ticker
WHERE b.ticker IS NULL AND NOT a.deprecated''')
newtickers = [x[0] for x in newtickers]
cutoff = datetime.date.today() - datetime.timedelta(days = args.age)
if args.top:
oldtickers = pg.select('SELECT ticker FROM tiingo_ticker_metadata WHERE updated_on < %s::date ORDER BY updated_on DESC LIMIT %s', (cutoff, args.top))
else:
oldtickers = pg.select('SELECT ticker FROM tiingo_ticker_metadata WHERE updated_on < %s::date', (cutoff, ))
oldtickers = [x[0] for x in oldtickers]
logger.info('Updating [%d] new tickers, and [%d] old tickers.', len(newtickers), len(oldtickers))
sql = '''
INSERT INTO tiingo_ticker_metadata (ticker, name, description, exchange, start_date, end_date, updated_on)
VALUES (%(ticker)s, %(name)s, %(description)s, %(exchangeCode)s, %(startDate)s, %(endDate)s, current_date)
ON CONFLICT (ticker) DO UPDATE
SET name = excluded.name,
description = excluded.description,
exchange = excluded.exchange,
start_date = excluded.start_date,
end_date = excluded.end_date,
updated_on = current_date;
'''
alltickers = newtickers + oldtickers
cnt = 0
pct = 0.1
total = len(alltickers)
for ticker in alltickers:
try:
metadata = tiingohelper.client.get_ticker_metadata(ticker)
except KeyboardInterrupt, e:
raise e
except:
def main(*args, **kwargs):
logger = get_logger('main')
progname = kwargs.get('progname')
parser = kwargs.get('argparser')
args = parse_command(parser)
filesys.touch(__lockfile__)
lockfp = open(__lockfile__, 'w')
lock = filelock.FileWriteLock(lockfp)
if not lock.trylock():
logger.warning('Another instance is loading data.')
return
if args.command == 'tickers':
tickers_command(args)
elif args.command == 'metadata':
metadata_command(args)
elif args.command == 'quotes':
quotes_command(args)
def main():
"""Set up configuration and start any required scripts or tasks.
Raises:
SetupError
"""
# set available command line arguments
parser = ArgumentParser(prog='./cresbot.py')
parser.add_argument('config',
help='Set path to config file.')
parser.add_argument('-t',
choices=['all', 'hiscorecounts'],
default=[],
dest='tasks',
help='Run tasks on startup. To run all tasks on startup use `all`. To run specific tasks, add them by name delimited by a space. Allowed task names: `hiscorecounts`.',
metavar='task',
nargs='*')
# parse arguments and convert to a dictionary
args = parser.parse_args()
args = vars(args)
# load config from file
config_path = args.pop('config', 0)
with open(config_path) as f:
try:
config = yaml.load(f)
except FileNotFoundError as e:
raise SetupError from e
# merge args into config
config.update(args)
# setup logging
try:
log = get_logger(config, 'cresbot')
except FileNotFoundError as e:
raise SetupError('Log file could not be found. Please check the directory exists.') from e
# setup api instance
api = MediaWiki(config.get('api_url'), config.get('api_config'))
try:
logged_in = api.login(config.get('api_username'), config.get('api_password'))
# @todo catch more specific exception
# ApiError?
except Exception as e:
raise SetupError('MediaWiki API URL could not be verified. Please check your config file.') from e
# check login attempt was successful
if not logged_in:
raise SetupError('Incorrect password or username in config.')
# clean up
api.logout()
# store in config for convenience
config.update({'api': api})
log.info('Setup complete!')
try:
tasks.start_tasks(config)
except Exception as e:
log.exception('Uncaught exception: %s', e)
BETA_ABSOLUTE = 'BETA_ABSOLUTE'
GAMMA_ABSOLUTE = 'GAMMA_ABSOLUTE'
DELTA_ABSOLUTE = 'DELTA_ABSOLUTE'
THETA_ABSOLUTE = 'THETA_ABSOLUTE'
class DataType(Enum):
EEG = 0
ALPHA_ABSOLUTE = 1
BETA_ABSOLUT = 2
GAMMA_ABSOLUTE = 3
DELTA_ABSOLUTE = 4
THETA_ABSOLUTE = 5
logger = get_logger('InputParser')
def extract_cues(reader):
it = iter(reader)
cues = []
for row in it:
cues.append((row[0], row[1]))
return cues
class InputParser:
def __init__(self, folder_path):
self.folderPath = folder_path
for f in listdir(folder_path):
if isfile:
import sqlite3
from utils.log import get_logger
from datetime import datetime
import time
logger = get_logger('ExperimentData')
META_DATA_TABLE = 'experiment_meta_data'
TYPE_COL = 'type'
ID_COL = 'id'
DATE_COL = 'date'
PROCESSING_DATE = 'process_date'
INSERT_METADATA = 'INSERT INTO {} ({},{}) values (?,?)'.format(META_DATA_TABLE, TYPE_COL, DATE_COL)
RAW_EEG_TABLE = 'raw_eeg'
EEG_TYPE_COL = 'eeg_type'
SERVER_TIMESTAMP_COL = 'server_timestamp'
DEVICE_TIMESTAMP_COL = 'device_timestamp'
TRIAL_ID_COL = 'trial_id'
TP9 = 'tp9'
AF7 = 'af7'
AF8 = 'af8'
TP10 = 'tp10'
AUXR = 'auxr'
WAVE_EEG_TABLE = 'eeg_waves'
CUES_TABLE = 'cues_tables'
CUE_NAME_COL = 'cue_name'
def adapt_datetime(ts):
return time.mktime(ts.timetuple())
def load_command(args):
logger = get_logger('load_command')
lockfp = open(__lockfile__, 'w')
lock = filelock.FileWriteLock(lockfp)
if not lock.trylock():
logger.warning('Another instance is loading data.')
return
if args.dateback and '-' not in args.dateback:
args.dateback = (datetime.date.today() - datetime.timedelta(days = int(args.dateback))).strftime('%Y-%m-%d')
#if args.dateback:
# logger.info('Date back to [%s].' % args.dateback)
files = os.listdir(args.inputdir)
files = fnmatch.filter(files, '*.csv.gz')
ds = {}
for f in files:
name, rest = f.split('_', 1)
ts, _ = rest.split('.', 1)
if name not in ds:
ds[name] = set()
if not args.dateback or ts > args.dateback:
ds[name].add(ts)
tables = dict([(x[1], x[0]) for x in dataset.DATASET])
for name in ds:
logger.info('Processing dataset [%s].' % name)
timestamps = ds[name]
if name not in tables:
raise Exception('No table found for dataset [%s].' % name)
tblname = tables[name]
if args.dateback:
tmp = pg.select('select quote_date, count(1) as count from ' + tblname + ' where quote_date >= %(dateback)s group by quote_date', \
{'dateback': args.dateback})
else:
tmp = pg.select('select quote_date, count(1) as count from ' + tblname + ' group by quote_date')
existing = set([x[0].strftime('%Y-%m-%d') for x in tmp])
# print existing
missing = sorted(list(timestamps - existing), reverse = args.reverse)
# print missing
for ts in missing:
srcfile = os.path.join(args.inputdir, '%s_%s.csv.gz' % (name, ts))
logger.info(' +++ Loading [%s] into [%s].' % (srcfile, tblname))
if args.yes:
try:
pg.copy_from_csv(srcfile, tblname)
except KeyboardInterrupt, e:
raise e
except:
errinfo = traceback.format_exc()
logger.error(errinfo)
def log_unhandled_exception(exctype, value, tb):
logger = log.get_logger('unhandled_exception')
logger.exception(traceback.format_exception(exctype, value, tb))
# FILE_LOCATION = '/Users/shiran/out/17-01-20_13-33/OddBall.csv'
# FILE_LOCATION = '/Users/shiran/out/17-04-08_16-15_Alpha'
# FILE_LOCATION = '/Users/shiran/out/17-04-16_00-41_Alpha'
FILE_LOCATION = '/Users/shiran/out/17-05-05_11-54_OddBall_P300' # a good alpha data
# raw eeg is measured in micro volts.
# 2 uv is considered to be the noise level of eeg measurements (1 uv == ~ 10^-6 v ==> 0.000002 volts )
# 10 - 100 uv is the peak to peak amplitude of an average EEG (0.00001 to 0.0001 volts )
# 1 mv == ~10^-3 v ==> 0.001 volts
# Muse raw signals are 0.0 to 1682.815 micro-volts, which is 0 to 1.682815 volt
# http://alexandre.barachant.org/blog/2017/02/05/P300-with-muse.html :
# things that anything beyond 100 uv is noise like blinks.
# the data from my app is ~800 micro volt, which is 800*10^-3 volt which is X/10^-6 == 800*10^-3/10^-6 milli volt == 800* 10^3
def load_data():
db = ExperimentData()
input_parser = InputParser(FILE_LOCATION)
ex_id = db.insert(input_parser)
logger.info("new experiment id:" + str(ex_id))
return ex_id
if __name__ == '__main__':
logger = get_logger('main')
# trial = load_data()
trial_id = 4
# pl.generate_graph(trial_id)
p300.plot(trial_id)
# handler_console = logging.StreamHandler()
# # 配置显示格式,并实例化
# fmt = '%(asctime)s - %(filename)s:%(lineno)s - %(name)s - %(message)s'
# formatter = logging.Formatter(fmt)
# # 为handler加载显示格式
# handler_file.setFormatter(formatter)
# handler_console.setFormatter(formatter)
# # 获取名为TEST的logger
# logger = logging.getLogger('TEST')
# # 为logger添加handler
# logger.addHandler(handler_file)
# logger.addHandler(handler_console)
# # 配置显示级别
# logger.setLevel(logging.DEBUG)
# ########################################################
logger = get_logger('test.log', 'TEST')
a = ip2int("192111111119999999999999999999")
b = int2ip(a)
logger.debug(a)
logger.debug(b)
ip_sub_mask_str = ('216.239.32.0/19 '
, '64.233.160.0/19'
, '66.249.80.0/20'
, '2.14.192.0/18'
, '209.85.128.0/17'
, '66.102.0.0/20'
, '74.125.0.0/16'
, '64.18.0.0/20'
, '207.126.144.0/20'
def quotes_command(args):
if args.update_tickers:
tickers_command(args)
logger = get_logger('quotes_command')
counter = count.Counter()
tickers = pg.select('''
SELECT ticker, start_date, end_date, asset_type, last_quote_date, quote_updated_on, full_quote_updated_on
FROM tiingo_ticker_list
WHERE
start_date IS NOT NULL AND
end_date IS NOT NULL AND
NOT deprecated
ORDER BY end_date''')
tickers = [ValueBag({
'ticker':x[0],
'start_date':x[1],
'end_date':x[2],
'asset_type':x[3],
'last_quote_date': x[4],
'quote_updated_on': x[5],
'full_quote_updated_on': x[6]}) for x in tickers]
if args.type:
tickers = [x for x in tickers if x.asset_type == args.type]
if args.full:
if args.full_update_age > 0:
cutoff_date = datetime.date.today() - datetime.timedelta(days = args.full_update_age)
tickers = [x for x in tickers if x.full_quote_updated_on is None or x.full_quote_updated_on < cutoff_date]
if args.full_update_splits > 1:
salt = '%s_%d' % (datetime.datetime.now().strftime('%Y%m%d%H'), os.getpid())
tickers = [x for x in tickers if sample_by_hash('%s_%s' % (x.ticker, salt), args.full_update_splits)]
logger.info('Full quote update for 1/%d [%d] tickers', args.full_update_splits, len(tickers))
else:
logger.info('Full quote update for all [%d] tickers', len(tickers))
else:
# last_quote_date IS NULL OR end_date > last_quote_date
tickers = [x for x in tickers if x.last_quote_date is None or x.end_date > x.last_quote_date]
logger.info('Incremental quote update for [%d] tickers.', len(tickers))
sql = '''
INSERT INTO tiingo_equity_daily (ticker, quote_date, open, high, low, close, volume, open_adjusted, high_adjusted, low_adjusted, close_adjusted, volume_adjusted, dividen, split_factor, original_data)
VALUES (%(ticker)s, %(date)s, %(open)s, %(high)s, %(low)s, %(close)s, %(volume)s,
%(adjOpen)s, %(adjHigh)s, %(adjLow)s, %(adjClose)s, %(adjVolume)s,
%(divCash)s, %(splitFactor)s, %(originalData)s)
ON CONFLICT (ticker, quote_date) DO UPDATE
SET open = excluded.open,
high = excluded.high,
low = excluded.low,
close = excluded.close,
volume = excluded.volume,
open_adjusted = excluded.open_adjusted,
high_adjusted = excluded.high_adjusted,
low_adjusted = excluded.low_adjusted,
close_adjusted = excluded.close_adjusted,
volume_adjusted = excluded.volume_adjusted,
dividen = excluded.dividen,
split_factor = excluded.split_factor,
original_data = excluded.original_data;'''
cnt = 0
pct = 0.1
total = len(tickers)
logger.info('Loading quotes of [%d] tickers.', total)
for x in tickers:
#ticker, start_date, end_date, last_quote_date = tinfo
# print tinfo
full_updated = False
try:
if not x.last_quote_date or args.full:
# full range
if args.verbose:
logger.info(' +++ Updating ticker [%s] quotes for full date range between [%s] and [%s].', x.ticker, x.start_date, x.end_date)
quotes = tiingohelper.client.get_ticker_price(x.ticker,
startDate = x.start_date, endDate = x.end_date,
fmt = 'json', frequency = 'daily')
quotes, _, _, lq_date = process_quotes_data(x.ticker, quotes)
full_updated = True
else:
if args.verbose:
logger.info(' +++ Updating ticker [%s] quotes since last quote date [%s] to [%s].',
x.ticker, x.last_quote_date + datetime.timedelta(days = 1), x.end_date)
quotes = tiingohelper.client.get_ticker_price(x.ticker,
startDate = x.last_quote_date + datetime.timedelta(days = 1), endDate = x.end_date,
fmt = 'json', frequency = 'daily')
quotes, has_dividen, has_split, lq_date = process_quotes_data(x.ticker, quotes)
if has_dividen or has_split:
# load full range when there is dividen or split since last update
if args.verbose:
logger.info(' +++ Dividen or split found, updating ticker [%s] quotes for full date range between [%s] and [%s].', x.ticker, x.start_date, x.end_date)
quotes = tiingohelper.client.get_ticker_price(x.ticker,
startDate = x.start_date, endDate = x.end_date,
fmt = 'json', frequency = 'daily')
quotes, _, _, lq_date = process_quotes_data(x.ticker, quotes)
full_updated = True
if not quotes:
raise Exception('No quotes returned.')
except KeyboardInterrupt, e:
raise e
except:
import json
import logging
import os
import pprint
import signal
import time
import threading
from threading import Event
from popular_github_repo_finder import PopularGithubRepoFinder
from utils import log, unhandled_exception_handler
log.LOG_FILE_NAME = 'popular_github_repo_finder.log'
unhandled_exception_handler.configure_unhandled_exception_handler()
logger = log.get_logger('main')
def _parse_args():
parser = ArgumentParser()
parser.add_argument(
'--org',
type=unicode,
required=True,
help='github organization name',
)
parser.add_argument(
'-n',
type=int,
required=True,
help='number of top repos of the org',