How to use make_alert method in autotest

Best Python code snippet using autotest_python

main.py

Source:main.py Github

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...14 if command.is_new:15 logg.info('Process new command: {}:{}'.format(command.type, command.value))16 if command.type == tele_command.UPDATE_REF:17 btc.update_ref(command.value)18 send_alert([make_alert(f'BTC Ref updated: {btc.get_ref()}')])19 20 elif command.type == tele_command.UPDATE_OFFSET:21 btc.update_percent(command.value)22 send_alert([make_alert(f'BTC Offset updated: {btc.get_percent()}%')])23 elif command.type == tele_command.GET_PRICE:24 price = btc.get_btc()["last"]25 send_alert([make_alert(f'BTC Price: {price}')])26 27 elif command.type == tele_command.ALERT_AT:28 # btc.update_alert(command.value)29 # btc.alerted_reset()30 send_alert([make_alert('Alert not implemented')])31 32 elif command.type == tele_command.LIST_CMD:33 send_alert([make_alert(', '.join(tele_command.VALID_COMMANDS.keys()))])34 35 elif command.type == tele_command.GET_INFO:36 send_alert([make_alert(f'BTC Ref/offset:{btc.get_ref()}/{btc.get_percent()}%, \37 GOLD Ref/Off:{gold.get_ref()}/{gold.get_percent()}')])38 elif command.type == tele_command.GET_GOLD:39 send_alert([make_alert(f'Gold price: {gold.get_gold()}')])40 elif command.type == tele_command.UPDATE_GOLD_REF:41 gold.update_ref(command.value)42 send_alert([make_alert(f'Gold Ref updated: {gold.get_ref()}')])43 elif command.type == tele_command.UPDATE_GOLD_OFFSET:44 gold.update_percent(command.value)45 send_alert([make_alert(f'Gold Offset updated: {gold.get_percent()}%')])46 command.is_new = False47 except Exception as e:48 send_alert([make_alert('do_command: {}'.format(e.args))])49 logg.error('do_command: {}'.format(e))50 raise Exception(e)51def main():52 try:53 # Init command polling channel54 command = tele_command.Command()55 btc = Btc()56 gold = Gold()57 while True:58 # Obtain & analyse price info59 btc.analyse()60 gold.analyse()61 # Listen & conduct commands sent from telegram62 do_command(command, btc, gold)...

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Observer.py

Source:Observer.py Github

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2from Strategy import *3from Iterator import *4class Unit(ABC):5 @abstractmethod6 def make_alert(self):7 pass8class SKKM:9 def __init__(self):10 self.__fire_service_units = set()11 self.nearest_unit = None12 self.list_of_occasions = []13 def attach(self, unit):14 self.__fire_service_units.add(unit)15 def detach(self, unit):16 self.__fire_service_units.remove(unit)17 def sort_from_nearest_to_farthest(self, problem_x_coord, problem_y_coord):18 distance_dict = {}19 for unit in self.__fire_service_units:20 distance = math.sqrt(21 ((problem_x_coord - unit.coordinates[0]) ** 2) + ((problem_y_coord - unit.coordinates[1]) ** 2))22 distance_dict[unit] = distance23 sorted_distance_dict = sorted(distance_dict.items(), key=lambda item: item[1])24 self.nearest_unit = (sorted_distance_dict[0])[0]25 def notify(self):26 for unit in self.__fire_service_units:27 if unit == self.nearest_unit:28 unit.make_alert()29class FireServiceUnit(Unit):30 def __init__(self, fire_station_id, coordinates, list_of_vehicles: list):31 self.fire_station_id = fire_station_id32 self.coordinates = coordinates33 self.vehicles = list_of_vehicles34 def __iter__(self):35 return Iterator(self.vehicles)36 def make_alert(self):...

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QUALITY_CHECK.py

Source:QUALITY_CHECK.py Github

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...7)8def test_alert_1():9 return job.spark.sql(""" SELECT * FROM VALUES (0) WHERE col1 == 1 """)10# You can instead use a generic template that create alerts, like this11def make_alert(i: int):12 @alert(description="description of test_alert_%s" % i, severity=CheckSeverity.Debug, name="test_alert_%s" % i)13 def func():14 return job.spark.sql(f""" SELECT * FROM VALUES (0) WHERE col1 == {i} """)15 job.add_alert(func)16# And then call it like this17make_alert(2)18make_alert(3)19# To avoid duplicate code when you need to define multiple metrics that looks like this:20@metric(21 description="description of test_metric_1",22 severity=CheckSeverity.Debug,23)24def test_metric_1():25 return job.spark.sql(""" SELECT 1 as col1 """)26# You can instead use a generic template that create metrics, like this27def make_metric(i: int):28 @metric(description="description of test_metric_%s" % i, severity=CheckSeverity.Debug, name="test_metric_%s" % i)29 def func():30 return job.spark.sql(f""" SELECT {i} as col1 """)31 job.add_metric(func)32# You can instead use a generic template that create metrics, like this...

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