def do(task):
watcher = Watcher()
try:
return watcher.watch(task)
except:
traceback.print_exc(file=sys.stderr)
logging.critical('Failed while cleaning for task %s' % (task['ID']))
return False
import time
from yaml_loader import Loader
from ds_client import Client
from watcher import Watcher
l_conf = Loader('./dsip.yml').conf()
app_key, app_secret = l_conf.app_key, l_conf.app_secret
camera_url = l_conf.camera_url
client = Client(app_key=app_key, app_secret=app_secret)
watcher = Watcher(client=client) # TODO: Threading...
watcher.watch(camera_url=camera_url, destination='/')
import time
module_start = time.time()
import json
import numpy as np
import pickle
import base64
import csv
print("[BreakTime] KNN Python Dependencies Library load : ", time.time() - module_start)
from watcher import Watcher
watching = Watcher(td=True)
knn_model, _ = watching.watch(pickle.load, [open('knn_model.pkl','rb')], name='knn_model_inialization')
def reduce_v(pair):
cache = {}
for k, v in pair.items():
if v not in cache.values():
cache[k] = v
if len(cache.values()) == 3:
break
return cache
def find_clothe(k_predited_data):
trans_closest = []
knn_match_time = time.time()
patchs = np.load("patch_trained.npy")
for a in range(0, len(k_predited_data)):
nearest_result = [k for k in k_predited_data[a]]
buf = [int(patchs[i]) for i in nearest_result]
#k1 = patchs[k1]
from watcher import Watcher
from database_connector import Database
database = Database()
database.initialize()
watcher = Watcher()
watcher.watch("input", "incorrect_input")
Return a simple html document
"""
return b'<html><body><h1>Serving</h1></body></html>'
if __name__ == '__main__':
log.startLogging(DailyLogFile.fromFullPath('/tmp/arscca-twisted.log'))
root = Resource()
factory = WebSocketServerFactory('ws://127.0.0.1:6544')
factory.protocol = SomeServerProtocol
resource = WebSocketResource(factory)
# websockets resource on '/ws' path
root.putChild(b'ws', resource)
# status page on '/' path
status_page = StatusPage()
root.putChild(b'', status_page)
watcher = Watcher(Dispatcher.file_updated)
watcher.watch()
site = Site(root)
# Not sure why pylint thinks these next two methods don't exist
# pylint: disable=no-member
reactor.listenTCP(6544, site)
# pylint: disable=no-member
reactor.run()
from __future__ import with_statement
import daemon.pidlockfile
from watcher import Watcher
import time
import logging
import sys
if __name__ == "__main__":
logger = logging.getLogger("watcherd")
formatter = logging.Formatter("%(asctime)s - %(name)s - %(levelname)s - %(message)s")
logger.setLevel(logging.INFO)
handler = logging.FileHandler("watcherd.log")
handler.setFormatter(formatter)
logger.addHandler(handler)
hdlrConsole = logging.StreamHandler(sys.stdout)
hdlrConsole.setFormatter(formatter)
logger.addHandler(hdlrConsole)
logger.info("watcherd started")
watcher = Watcher(logger)
_count = 0
pid = daemon.pidlockfile.TimeoutPIDLockFile("/tmp/watcherd.pid", 10)
daemon_context = daemon.DaemonContext(pidfile=pid, files_preserve=[handler.stream])
with daemon_context:
while 1:
_count+=1
if _count%40 == 0:
logger.info(_count)
watcher.watch()
time.sleep(15)
from watcher import Watcher
from database_connector import Database
database = Database()
database.initialize()
watcher = Watcher()
watcher.watch(
"C:/Users/sviatlana_sopat/PycharmProjects/run_project_bookstat/input",
"C:/Users/sviatlana_sopat/PycharmProjects/run_project_bookstat/incorrect_input"
)
import numpy as np
from PIL import Image
from PIL import ImageFile
import json
from io import BytesIO
import base64
import torch
from dl_model import Net
import urllib3
module_end = time.time()
print("[TimeMeasurement] module loaded time : ", module_end - module_start)
from watcher import Watcher
watching = Watcher(td=True)
model, _ = watching.watch(pickle.load, [open('torch_model.pkl', 'rb')],
name='torch_loaded')
model = model.double()
print("[BreakTime] Torch no need model read time")
from watcher import Watcher
watching = Watcher(td=True)
http = urllib3.PoolManager()
ImageFile.LOAD_TRUNCATED_IMAGES = True
def image_decoder(baseImg):
x = base64.b64decode(baseImg) # base64 to bytes
splited_x = x.split(b'\r\n') # split bytes
data_decoded_bytes = splited_x[4]
print(splited_x)
