def run(self, edit):
self.api_key = get_api_key()
if not self.api_key:
return
regions = self.view.sel()
if not (len(regions) > 0) or (regions[0].empty()):
status("Error: No content selected")
return
self.snippet = {
'title': None,
'tags': None,
'language': None,
'source': self.view.substr(regions[0])
}
self.threads = {}
self.server = ServerProxy("http://snipplr.com/xml-rpc.php")
t = Worker(self.get_languages)
t.start()
self.threads['get_languages'] = t
self.title_prompt()
def run(self, edit):
self.api_key = get_api_key()
if not self.api_key:
return
regions = self.view.sel()
if not (len(regions) > 0) or (regions[0].empty()):
status("Error: No content selected")
return
self.snippet = {
'title': None,
'tags': None,
'language': None,
'source': self.view.substr(regions[0])
}
self.threads = {}
self.server = ServerProxy("http://snipplr.com/xml-rpc.php")
t = Worker(self.get_languages)
t.start()
self.threads['get_languages'] = t
self.title_prompt()
def result_selection_cb(self, index):
if index >= 0:
selection = self.search_results[index]
t = Worker(lambda: self.download(selection['id']))
t.start()
self.threads['download'] = t
handle_thread(t, 'Downloading snippet (%s)' % (selection['title'],),
self.download_cb)
def result_selection_cb(self, index):
if index >= 0:
selection = self.search_results[index]
t = Worker(lambda: self.download(selection['id']))
t.start()
self.threads['download'] = t
handle_thread(t,
'Downloading snippet (%s)' % (selection['title'], ),
self.download_cb)
def viewRangeChanged(self):
if not self.plotting:
self.plotting = True
worker = Worker(self.updateOHLC)
QtCore.QThreadPool.globalInstance().start(worker)
self.sigXRangeChanged.emit()
self.sigResized.emit()
def __init__(self):
super(Window, self).__init__()
uic.loadUi('material.ui', self)
self.db = 'patient_try'
self.identityTable = 'patient'
self.visitTable = 'visits'
self.dbu = DB_manager.DatabaseUtility(self.db)
self.qu = Queue()
self.worker = Worker(qu=self.qu, parent=self)
self.entry_app = entry.Entry(self, self.dbu, self.identityTable,
self.visitTable, self.qu)
self.katar_app = katar.Katar(self, self.dbu, self.identityTable,
self.visitTable, self.qu)
self.addPushButton.clicked.connect(self.katar_app.update_queue)
self.worker.start()
class M4AtxHw:
def __init__(self):
self._temp = 0
self._voltage_in = 0
self._voltage_ignition = 0
self._33v = 0
self._5v = 0
self._12v = 0
self._voltages = {'VIN' : self._voltage_in, 'IGN' : self._voltage_ignition, '33V' : self._33v, '5V' : self._5v, '12V' : self._12v}
try:
self._m4 = M4Device()
except M4DeviceError:
raise M4AtxHwError("Unable to create M4 device")
self._worker = Worker("m4 xtv", self._read_data)
print("working")
def Start(self):
print("Starting M4 ATX ...")
self._worker.start()
print("M4 ATX started")
def Stop(self):
print("Stopping M4 ATX ...")
self._worker.stop()
print("M4 ATX stopped")
def _read_data(self):
result = self._m4.get_diag()
if result:
self._voltages = result[:5]
self._temp = result[5]
time.sleep(1)
def GetVoltages(self):
return self._voltages
def GetTemp(self):
return {'c': self._temp}
def run_page_crawler(self):
''' listen to crawler priority queue and crawl pages '''
worker = Worker(self.args.thread)
while True:
# get one item from the queue
# initialize a generic crawler instance
page = self.queue.de_queue()
if page:
self.stats.crawl_in_progress += 1
page.time_dequeue = time.time()
worker.add_task(self.call_crawl_page, page)
if self.stats.crawl_in_progress == self.max_num_pages:
break
worker.join()
self.shutdown = True
self.log_queue.put(self.end_page_log_item)
def make_worker(self):
worker = Worker()
# use cubicle coordinates
counter = 0
while True:
counter += 1
worker.center_x, worker.center_y = worker.get_coords(
self.level_number)
plist = arcade.SpriteList()
plist.append(self.player)
player_hits = arcade.check_for_collision_with_list(worker, plist)
worker_hits = arcade.check_for_collision_with_list(
worker, self.worker_list)
if len(worker_hits) == len(player_hits) == 0:
break
if counter == len(Worker.coords):
return
self.worker_list.append(worker)
self.all_sprites.append(worker)
def __init__(self):
self._temp = 0
self._voltage_in = 0
self._voltage_ignition = 0
self._33v = 0
self._5v = 0
self._12v = 0
self._voltages = {'VIN' : self._voltage_in, 'IGN' : self._voltage_ignition, '33V' : self._33v, '5V' : self._5v, '12V' : self._12v}
try:
self._m4 = M4Device()
except M4DeviceError:
raise M4AtxHwError("Unable to create M4 device")
self._worker = Worker("m4 xtv", self._read_data)
print("working")
def read_images(self):
""" read in image samples """
worker = Worker(50)
for line in self.fio_r:
line = line.strip()
try:
item = json.loads(line)
except:
continue
worker.add_task(self.tag_image, item)
logging.debug('%d images have been read' % len(items))
worker.join()
def run_page_crawler(self):
''' listen to crawler priority queue and crawl pages '''
worker = Worker(self.args.thread)
while True:
# get one item from the queue
# initialize a generic crawler instance
page = self.queue.de_queue()
if page:
self.stats.crawl_in_progress += 1
page.time_dequeue = time.time()
worker.add_task(self.call_crawl_page, page)
if self.stats.crawl_in_progress == self.max_num_pages:
break
worker.join()
self.shutdown = True
self.log_queue.put(self.end_page_log_item)
from flask import Flask, request, jsonify
app = Flask(__name__)
from utils import Worker
worker = Worker()
@app.route('/')
def hello_world():
return 'Hello, World!'
@app.route('/response/', methods=['GET', 'POST'])
def get_response():
if request.method == 'GET':
return "We are live! Accepting POST requests for connection."
if request.method == 'POST':
# getting inputs
name = str(request.form.get('name'))
# response init
response = {'status': None, 'message': None, 'age': None}
# input validation
if any(v is None for v in [name]):
# client problem
response['status'] = False
response['message'] = "Send all parameters"
response['age'] = None
return jsonify(response), 400
def publish(routing_key: str, payload: dict):
worker = Worker(conn, exchange)
worker.publish(routing_key, payload)
def setInterval(self, interval):
worker = Worker(self.candlestick.setInterval, interval)
QtCore.QThreadPool.globalInstance().start(worker)
def _generate_all_charts(spec, input_data):
"""Generate all charts specified in the specification file.
:param spec: Specification.
:param input_data: Full data set.
:type spec: Specification
:type input_data: InputData
"""
def _generate_chart(_, data_q, graph):
"""Generates the chart.
"""
logs = list()
logging.info(" Generating the chart '{0}' ...".
format(graph.get("title", "")))
logs.append(("INFO", " Generating the chart '{0}' ...".
format(graph.get("title", ""))))
job_name = graph["data"].keys()[0]
csv_tbl = list()
res = list()
# Transform the data
logs.append(("INFO", " Creating the data set for the {0} '{1}'.".
format(graph.get("type", ""), graph.get("title", ""))))
data = input_data.filter_data(graph, continue_on_error=True)
if data is None:
logging.error("No data.")
return
chart_data = dict()
for job, job_data in data.iteritems():
if job != job_name:
continue
for index, bld in job_data.items():
for test_name, test in bld.items():
if chart_data.get(test_name, None) is None:
chart_data[test_name] = OrderedDict()
try:
chart_data[test_name][int(index)] = \
test["result"]["throughput"]
except (KeyError, TypeError):
pass
# Add items to the csv table:
for tst_name, tst_data in chart_data.items():
tst_lst = list()
for bld in builds_dict[job_name]:
itm = tst_data.get(int(bld), '')
tst_lst.append(str(itm))
csv_tbl.append("{0},".format(tst_name) + ",".join(tst_lst) + '\n')
# Generate traces:
traces = list()
win_size = 14
index = 0
for test_name, test_data in chart_data.items():
if not test_data:
logs.append(("WARNING", "No data for the test '{0}'".
format(test_name)))
continue
test_name = test_name.split('.')[-1]
trace, rslt = _generate_trending_traces(
test_data,
job_name=job_name,
build_info=build_info,
name='-'.join(test_name.split('-')[3:-1]),
color=COLORS[index])
traces.extend(trace)
res.append(rslt)
index += 1
if traces:
# Generate the chart:
graph["layout"]["xaxis"]["title"] = \
graph["layout"]["xaxis"]["title"].format(job=job_name)
name_file = "{0}-{1}{2}".format(spec.cpta["output-file"],
graph["output-file-name"],
spec.cpta["output-file-type"])
logs.append(("INFO", " Writing the file '{0}' ...".
format(name_file)))
plpl = plgo.Figure(data=traces, layout=graph["layout"])
try:
ploff.plot(plpl, show_link=False, auto_open=False,
filename=name_file)
except plerr.PlotlyEmptyDataError:
logs.append(("WARNING", "No data for the plot. Skipped."))
data_out = {
"job_name": job_name,
"csv_table": csv_tbl,
"results": res,
"logs": logs
}
data_q.put(data_out)
builds_dict = dict()
for job in spec.input["builds"].keys():
if builds_dict.get(job, None) is None:
builds_dict[job] = list()
for build in spec.input["builds"][job]:
status = build["status"]
if status != "failed" and status != "not found":
builds_dict[job].append(str(build["build"]))
# Create "build ID": "date" dict:
build_info = dict()
for job_name, job_data in builds_dict.items():
if build_info.get(job_name, None) is None:
build_info[job_name] = OrderedDict()
for build in job_data:
build_info[job_name][build] = (
input_data.metadata(job_name, build).get("generated", ""),
input_data.metadata(job_name, build).get("version", "")
)
work_queue = multiprocessing.JoinableQueue()
manager = multiprocessing.Manager()
data_queue = manager.Queue()
cpus = multiprocessing.cpu_count()
workers = list()
for cpu in range(cpus):
worker = Worker(work_queue,
data_queue,
_generate_chart)
worker.daemon = True
worker.start()
workers.append(worker)
os.system("taskset -p -c {0} {1} > /dev/null 2>&1".
format(cpu, worker.pid))
for chart in spec.cpta["plots"]:
work_queue.put((chart, ))
work_queue.join()
anomaly_classifications = list()
# Create the header:
csv_tables = dict()
for job_name in builds_dict.keys():
if csv_tables.get(job_name, None) is None:
csv_tables[job_name] = list()
header = "Build Number:," + ",".join(builds_dict[job_name]) + '\n'
csv_tables[job_name].append(header)
build_dates = [x[0] for x in build_info[job_name].values()]
header = "Build Date:," + ",".join(build_dates) + '\n'
csv_tables[job_name].append(header)
versions = [x[1] for x in build_info[job_name].values()]
header = "Version:," + ",".join(versions) + '\n'
csv_tables[job_name].append(header)
while not data_queue.empty():
result = data_queue.get()
anomaly_classifications.extend(result["results"])
csv_tables[result["job_name"]].extend(result["csv_table"])
for item in result["logs"]:
if item[0] == "INFO":
logging.info(item[1])
elif item[0] == "ERROR":
logging.error(item[1])
elif item[0] == "DEBUG":
logging.debug(item[1])
elif item[0] == "CRITICAL":
logging.critical(item[1])
elif item[0] == "WARNING":
logging.warning(item[1])
del data_queue
# Terminate all workers
for worker in workers:
worker.terminate()
worker.join()
# Write the tables:
for job_name, csv_table in csv_tables.items():
file_name = spec.cpta["output-file"] + "-" + job_name + "-trending"
with open("{0}.csv".format(file_name), 'w') as file_handler:
file_handler.writelines(csv_table)
txt_table = None
with open("{0}.csv".format(file_name), 'rb') as csv_file:
csv_content = csv.reader(csv_file, delimiter=',', quotechar='"')
line_nr = 0
for row in csv_content:
if txt_table is None:
txt_table = prettytable.PrettyTable(row)
else:
if line_nr > 1:
for idx, item in enumerate(row):
try:
row[idx] = str(round(float(item) / 1000000, 2))
except ValueError:
pass
try:
txt_table.add_row(row)
except Exception as err:
logging.warning("Error occurred while generating TXT "
"table:\n{0}".format(err))
line_nr += 1
txt_table.align["Build Number:"] = "l"
with open("{0}.txt".format(file_name), "w") as txt_file:
txt_file.write(str(txt_table))
# Evaluate result:
if anomaly_classifications:
result = "PASS"
for classification in anomaly_classifications:
if classification == "regression" or classification == "outlier":
result = "FAIL"
break
else:
result = "FAIL"
logging.info("Partial results: {0}".format(anomaly_classifications))
logging.info("Result: {0}".format(result))
return result
from utils import read_file_line_by_line, logger, Worker
import time
import ast
IP_ADDRESSES = [('127.0.0.1', 2020)]
gen = read_file_line_by_line('mew.txt', 'cp1251')
#gen = read_file_line_by_line('aaaa.txt')
workers = [Worker(address=addr, name='worker_' + str(i)) for i, addr in enumerate(IP_ADDRESSES)]
solution_list = []
result = []
i = 0
t1 = time.time()
while True:
solution = next(gen)
if solution == 'stop':
print('end read', i)
break
if solution.find('установил:') == -1 or solution.find('постановил:') == -1:
continue
solution_parse = solution.split('установил:')[1]
solution_parse = solution_parse.split('постановил:')[0]
solution_list.append(solution_parse)
i += 1
if i % 10 == 0:
message = str(solution_list)
print(i)
solution_list = []
while message:
time.sleep(0.5)
def setIndex(self, index):
worker = Worker(self.candlestick.setIndex, index)
QtCore.QThreadPool.globalInstance().start(worker)
self.volumeProfile.removeAll()
def search(self, keywords):
t = Worker(lambda: self._search(keywords))
t.start()
self.threads['search'] = t
handle_thread(t, 'Searching Snipplr for: ' + keywords, self.search_cb)
def search(self, keywords):
t = Worker(lambda: self._search(keywords))
t.start()
self.threads['search'] = t
handle_thread(t, 'Searching Snipplr for: ' + keywords, self.search_cb)
def _generate_all_charts(spec, input_data):
"""Generate all charts specified in the specification file.
:param spec: Specification.
:param input_data: Full data set.
:type spec: Specification
:type input_data: InputData
"""
def _generate_chart(_, data_q, graph):
"""Generates the chart.
"""
logs = list()
logging.info(" Generating the chart '{0}' ...".format(
graph.get("title", "")))
logs.append(
("INFO",
" Generating the chart '{0}' ...".format(graph.get("title",
""))))
job_name = graph["data"].keys()[0]
csv_tbl = list()
res = list()
# Transform the data
logs.append(
("INFO", " Creating the data set for the {0} '{1}'.".format(
graph.get("type", ""), graph.get("title", ""))))
data = input_data.filter_data(graph, continue_on_error=True)
if data is None:
logging.error("No data.")
return
chart_data = dict()
chart_tags = dict()
for job, job_data in data.iteritems():
if job != job_name:
continue
for index, bld in job_data.items():
for test_name, test in bld.items():
if chart_data.get(test_name, None) is None:
chart_data[test_name] = OrderedDict()
try:
chart_data[test_name][int(index)] = \
test["result"]["receive-rate"]
chart_tags[test_name] = test.get("tags", None)
except (KeyError, TypeError):
pass
# Add items to the csv table:
for tst_name, tst_data in chart_data.items():
tst_lst = list()
for bld in builds_dict[job_name]:
itm = tst_data.get(int(bld), '')
if not isinstance(itm, str):
itm = itm.avg
tst_lst.append(str(itm))
csv_tbl.append("{0},".format(tst_name) + ",".join(tst_lst) + '\n')
# Generate traces:
traces = list()
index = 0
groups = graph.get("groups", None)
visibility = list()
if groups:
for group in groups:
visible = list()
for tag in group:
for test_name, test_data in chart_data.items():
if not test_data:
logs.append(
("WARNING",
"No data for the test '{0}'".format(test_name)
))
continue
if tag in chart_tags[test_name]:
message = "index: {index}, test: {test}".format(
index=index, test=test_name)
test_name = test_name.split('.')[-1]
try:
trace, rslt = _generate_trending_traces(
test_data,
job_name=job_name,
build_info=build_info,
name='-'.join(test_name.split('-')[2:-1]),
color=COLORS[index])
except IndexError:
message = "Out of colors: {}".format(message)
logs.append(("ERROR", message))
logging.error(message)
index += 1
continue
traces.extend(trace)
visible.extend([True for _ in range(len(trace))])
res.append(rslt)
index += 1
break
visibility.append(visible)
else:
for test_name, test_data in chart_data.items():
if not test_data:
logs.append(
("WARNING",
"No data for the test '{0}'".format(test_name)))
continue
message = "index: {index}, test: {test}".format(index=index,
test=test_name)
test_name = test_name.split('.')[-1]
try:
trace, rslt = _generate_trending_traces(
test_data,
job_name=job_name,
build_info=build_info,
name='-'.join(test_name.split('-')[2:-1]),
color=COLORS[index])
except IndexError:
message = "Out of colors: {}".format(message)
logs.append(("ERROR", message))
logging.error(message)
index += 1
continue
traces.extend(trace)
res.append(rslt)
index += 1
if traces:
# Generate the chart:
try:
layout = deepcopy(graph["layout"])
except KeyError as err:
logging.error("Finished with error: No layout defined")
logging.error(repr(err))
return
if groups:
show = list()
for i in range(len(visibility)):
visible = list()
for r in range(len(visibility)):
for _ in range(len(visibility[r])):
visible.append(i == r)
show.append(visible)
buttons = list()
buttons.append(
dict(label="All",
method="update",
args=[
{
"visible":
[True for _ in range(len(show[0]))]
},
]))
for i in range(len(groups)):
try:
label = graph["group-names"][i]
except (IndexError, KeyError):
label = "Group {num}".format(num=i + 1)
buttons.append(
dict(label=label,
method="update",
args=[
{
"visible": show[i]
},
]))
layout['updatemenus'] = list([
dict(active=0,
type="dropdown",
direction="down",
xanchor="left",
yanchor="bottom",
x=-0.12,
y=1.0,
buttons=buttons)
])
name_file = "{0}-{1}{2}".format(spec.cpta["output-file"],
graph["output-file-name"],
spec.cpta["output-file-type"])
logs.append(
("INFO", " Writing the file '{0}' ...".format(name_file)))
plpl = plgo.Figure(data=traces, layout=layout)
try:
ploff.plot(plpl,
show_link=False,
auto_open=False,
filename=name_file)
except plerr.PlotlyEmptyDataError:
logs.append(("WARNING", "No data for the plot. Skipped."))
data_out = {
"job_name": job_name,
"csv_table": csv_tbl,
"results": res,
"logs": logs
}
data_q.put(data_out)
builds_dict = dict()
for job in spec.input["builds"].keys():
if builds_dict.get(job, None) is None:
builds_dict[job] = list()
for build in spec.input["builds"][job]:
status = build["status"]
if status != "failed" and status != "not found" and \
status != "removed":
builds_dict[job].append(str(build["build"]))
# Create "build ID": "date" dict:
build_info = dict()
tb_tbl = spec.environment.get("testbeds", None)
for job_name, job_data in builds_dict.items():
if build_info.get(job_name, None) is None:
build_info[job_name] = OrderedDict()
for build in job_data:
testbed = ""
tb_ip = input_data.metadata(job_name, build).get("testbed", "")
if tb_ip and tb_tbl:
testbed = tb_tbl.get(tb_ip, "")
build_info[job_name][build] = (input_data.metadata(
job_name,
build).get("generated",
""), input_data.metadata(job_name,
build).get("version",
""), testbed)
work_queue = multiprocessing.JoinableQueue()
manager = multiprocessing.Manager()
data_queue = manager.Queue()
cpus = multiprocessing.cpu_count()
workers = list()
for cpu in range(cpus):
worker = Worker(work_queue, data_queue, _generate_chart)
worker.daemon = True
worker.start()
workers.append(worker)
os.system("taskset -p -c {0} {1} > /dev/null 2>&1".format(
cpu, worker.pid))
for chart in spec.cpta["plots"]:
work_queue.put((chart, ))
work_queue.join()
anomaly_classifications = list()
# Create the header:
csv_tables = dict()
for job_name in builds_dict.keys():
if csv_tables.get(job_name, None) is None:
csv_tables[job_name] = list()
header = "Build Number:," + ",".join(builds_dict[job_name]) + '\n'
csv_tables[job_name].append(header)
build_dates = [x[0] for x in build_info[job_name].values()]
header = "Build Date:," + ",".join(build_dates) + '\n'
csv_tables[job_name].append(header)
versions = [x[1] for x in build_info[job_name].values()]
header = "Version:," + ",".join(versions) + '\n'
csv_tables[job_name].append(header)
while not data_queue.empty():
result = data_queue.get()
anomaly_classifications.extend(result["results"])
csv_tables[result["job_name"]].extend(result["csv_table"])
for item in result["logs"]:
if item[0] == "INFO":
logging.info(item[1])
elif item[0] == "ERROR":
logging.error(item[1])
elif item[0] == "DEBUG":
logging.debug(item[1])
elif item[0] == "CRITICAL":
logging.critical(item[1])
elif item[0] == "WARNING":
logging.warning(item[1])
del data_queue
# Terminate all workers
for worker in workers:
worker.terminate()
worker.join()
# Write the tables:
for job_name, csv_table in csv_tables.items():
file_name = spec.cpta["output-file"] + "-" + job_name + "-trending"
with open("{0}.csv".format(file_name), 'w') as file_handler:
file_handler.writelines(csv_table)
txt_table = None
with open("{0}.csv".format(file_name), 'rb') as csv_file:
csv_content = csv.reader(csv_file, delimiter=',', quotechar='"')
line_nr = 0
for row in csv_content:
if txt_table is None:
txt_table = prettytable.PrettyTable(row)
else:
if line_nr > 1:
for idx, item in enumerate(row):
try:
row[idx] = str(round(float(item) / 1000000, 2))
except ValueError:
pass
try:
txt_table.add_row(row)
except Exception as err:
logging.warning("Error occurred while generating TXT "
"table:\n{0}".format(err))
line_nr += 1
txt_table.align["Build Number:"] = "l"
with open("{0}.txt".format(file_name), "w") as txt_file:
txt_file.write(str(txt_table))
# Evaluate result:
if anomaly_classifications:
result = "PASS"
for classification in anomaly_classifications:
if classification == "regression" or classification == "outlier":
result = "FAIL"
break
else:
result = "FAIL"
logging.info("Partial results: {0}".format(anomaly_classifications))
logging.info("Result: {0}".format(result))
return result
def refresh(self):
if not self.plotting:
self.plotting = True
# self.updateOHLC(True)
worker = Worker(self.updateOHLC, True)
QtCore.QThreadPool.globalInstance().start(worker)
def subscribe(binding_key: str, sub_request: SubscriptionRequest):
worker = Worker(conn, exchange)
sub = worker.subscribe(binding_key)
for key, on_handler in sub_request._on.items():
sub.on(key, on_handler)
def download_and_parse_data(self, repeat=1):
"""Download the input data files, parse input data from input files and
store in pandas' Series.
:param repeat: Repeat the download specified number of times if not
successful.
:type repeat: int
"""
logging.info("Downloading and parsing input files ...")
work_queue = multiprocessing.JoinableQueue()
manager = multiprocessing.Manager()
data_queue = manager.Queue()
cpus = multiprocessing.cpu_count()
workers = list()
for cpu in range(cpus):
worker = Worker(work_queue, data_queue,
self._download_and_parse_build)
worker.daemon = True
worker.start()
workers.append(worker)
os.system("taskset -p -c {0} {1} > /dev/null 2>&1".format(
cpu, worker.pid))
for job, builds in self._cfg.builds.items():
for build in builds:
work_queue.put((job, build, repeat))
work_queue.join()
logging.info("Done.")
while not data_queue.empty():
result = data_queue.get()
job = result["job"]
build_nr = result["build"]["build"]
if result["data"]:
data = result["data"]
build_data = pd.Series({
"metadata":
pd.Series(data["metadata"].values(),
index=data["metadata"].keys()),
"suites":
pd.Series(data["suites"].values(),
index=data["suites"].keys()),
"tests":
pd.Series(data["tests"].values(),
index=data["tests"].keys())
})
if self._input_data.get(job, None) is None:
self._input_data[job] = pd.Series()
self._input_data[job][str(build_nr)] = build_data
self._cfg.set_input_file_name(job, build_nr,
result["build"]["file-name"])
self._cfg.set_input_state(job, build_nr, result["state"])
for item in result["logs"]:
if item[0] == "INFO":
logging.info(item[1])
elif item[0] == "ERROR":
logging.error(item[1])
elif item[0] == "DEBUG":
logging.debug(item[1])
elif item[0] == "CRITICAL":
logging.critical(item[1])
elif item[0] == "WARNING":
logging.warning(item[1])
del data_queue
# Terminate all workers
for worker in workers:
worker.terminate()
worker.join()
logging.info("Done.")
def get_mouse_position(self, variable_name_to_set: str):
worker = Worker(self._get_mouse_position, 2, variable_name_to_set)
self.thread_pool.start(worker)