def __init__(self, app, id=None, config=None):
super().__init__(app, id=id, config=config)
self.ConnectionEvent = asyncio.Event(loop=app.Loop)
self.ConnectionEvent.clear()
self.PubSub = asab.PubSub(app)
self.Loop = app.Loop
self._host = self.Config['host']
self._port = int(self.Config['port'])
self._user = self.Config['user']
self._password = self.Config['password']
self._connect_timeout = self.Config['connect_timeout']
self._db = self.Config['db']
self._reconnect_delay = self.Config['reconnect_delay']
self._output_queue_max_size = self.Config['output_queue_max_size']
self._max_bulk_size = int(self.Config['max_bulk_size'])
self._conn_future = None
self._connection_request = False
self._pause = False
# Subscription
self._on_health_check('connection.open!')
app.PubSub.subscribe("Application.stop!", self._on_application_stop)
app.PubSub.subscribe("Application.tick!", self._on_health_check)
app.PubSub.subscribe("PostgreSQLConnection.pause!", self._on_pause)
app.PubSub.subscribe("PostgreSQLConnection.unpause!", self._on_unpause)
self._output_queue = asyncio.Queue(loop=app.Loop)
self._bulks = {} # We have a "bulk" per query
def __init__(self, app, id=None):
self.Id = id if id is not None else self.__class__.__name__
self.Loop = app.Loop
self.Sources = []
self.Processors = [
[]
] # List of lists of processors, the depth is increased by a Generator object
self._source_coros = [] # List of source main() coroutines
# Publish-Subscribe for this pipeline
self.PubSub = asab.PubSub(app)
self.Metrics = app.Metrics
self._error = None # None if not in error state otherwise there is a tuple (exception, event)
self._throttles = set()
self._ready = asyncio.Event(loop=app.Loop)
self._ready.clear()
# Chillout is used to break a pipeline processing to smaller tasks that allows other event in event loop to be processed
self._chillout_trigger = 10000
self._chillout_counter = 0
self._context = {}
def __init__(self, app, id=None):
self.Id = id if id is not None else self.__class__.__name__
self.App = app
self.Loop = app.Loop
self.Sources = []
self.Processors = [
[]
] # List of lists of processors, the depth is increased by a Generator object
self._source_coros = [] # List of source main() coroutines
# Publish-Subscribe for this pipeline
self.PubSub = asab.PubSub(app)
self.MetricsService = app.get_service('asab.MetricsService')
self.MetricsCounter = self.MetricsService.create_counter(
"bspump.pipeline",
tags={'pipeline': self.Id},
init_values={
'event.in': 0,
'event.out': 0,
'event.drop': 0,
'warning': 0,
'error': 0,
})
self.MetricsGauge = self.MetricsService.create_gauge(
"bspump.pipeline.gauge",
tags={'pipeline': self.Id},
init_values={
'warning.ratio': 0.0,
'error.ratio': 0.0,
})
self.MetricsDutyCycle = self.MetricsService.create_duty_cycle(
self.Loop,
"bspump.pipeline.dutycycle",
tags={'pipeline': self.Id},
init_values={
'ready': False,
})
app.PubSub.subscribe("Application.Metrics.Flush!",
self._on_metrics_flush)
# Pipeline logger
self.L = PipelineLogger("bspump.pipeline.{}".format(self.Id),
self.MetricsCounter)
self.LastReadyStateSwitch = self.Loop.time()
self._error = None # None if not in error state otherwise there is a tuple (context, event, exc, timestamp)
self._throttles = set()
self._ready = asyncio.Event(loop=app.Loop)
self._ready.clear()
# Chillout is used to break a pipeline processing to smaller tasks that allows other event in event loop to be processed
self._chillout_trigger = 10000
self._chillout_counter = 0
self._context = {}
def __init__(self, app, lookup_id, config=None):
assert (lookup_id is not None)
super().__init__("lookup:{}".format(lookup_id), config=config)
self.Id = lookup_id
self.PubSub = asab.PubSub(app)
self.ETag = None
master_url = self.Config['master_url']
if master_url:
while master_url[-1] == '/':
master_url = master_url[:-1]
master_lookup_id = self.Config['master_lookup_id']
if master_lookup_id == "": master_lookup_id = self.Id
self.MasterURL = master_url + '/lookup/' + master_lookup_id
else:
self.MasterURL = None # No master is defined
def __init__(self, app, id=None, config=None, lazy=False):
_id = id if id is not None else self.__class__.__name__
super().__init__("lookup:{}".format(_id), config=config)
self.App = app
self.Loop = app.Loop
self.Lazy = lazy
self.Id = _id
self.PubSub = asab.PubSub(app)
self.ETag = None
master_url = self.Config['master_url']
if master_url:
while master_url[-1] == '/':
master_url = master_url[:-1]
master_lookup_id = self.Config['master_lookup_id']
if master_lookup_id == "":
master_lookup_id = self.Id
self.MasterURL = master_url + '/lookup/' + master_lookup_id
else:
self.MasterURL = None # No master is defined
def __init__(self, app, dtype='float_', id=None, config=None): super().__init__(app, dtype=dtype, id=id, config=config) self.PubSub = asab.PubSub(app)
def __init__(self, app, id=None, config=None):
_id = id if id is not None else self.__class__.__name__
super().__init__("pipeline:{}".format(_id), config=config)
self.Id = _id
self.App = app
self.Loop = app.Loop
self.AsyncFutures = []
self.AsyncConcurencyLimit = int(self.Config["async_concurency_limit"])
self.ResetProfiler = self.Config.getboolean("reset_profiler")
assert (self.AsyncConcurencyLimit > 1)
# This object serves to identify the throttler, because list cannot be used as a throttler
self.AsyncFuturesThrottler = object()
self.Sources = []
self.Processors = [
[]
] # List of lists of processors, the depth is increased by a Generator object
# Publish-Subscribe for this pipeline
self.PubSub = asab.PubSub(app)
self.MetricsService = app.get_service('asab.MetricsService')
self.MetricsCounter = self.MetricsService.create_counter(
"bspump.pipeline",
tags={'pipeline': self.Id},
init_values={
'event.in': 0,
'event.out': 0,
'event.drop': 0,
'warning': 0,
'error': 0,
})
self.MetricsGauge = self.MetricsService.create_gauge(
"bspump.pipeline.gauge",
tags={'pipeline': self.Id},
init_values={
'warning.ratio': 0.0,
'error.ratio': 0.0,
})
self.MetricsDutyCycle = self.MetricsService.create_duty_cycle(
self.Loop,
"bspump.pipeline.dutycycle",
tags={'pipeline': self.Id},
init_values={
'ready': False,
})
self.ProfilerCounter = {}
app.PubSub.subscribe("Application.Metrics.Flush!",
self._on_metrics_flush)
# Pipeline logger
self.L = PipelineLogger("bspump.pipeline.{}".format(self.Id),
self.MetricsCounter)
self.LastReadyStateSwitch = self.Loop.time()
self._error = None # None if not in error state otherwise there is a tuple (context, event, exc, timestamp)
self._throttles = set()
self._ancestral_pipelines = set()
self._ready = asyncio.Event(loop=app.Loop)
self._ready.clear()
# Chillout is used to break a pipeline processing to smaller tasks that allows other event in event loop to be processed
self._chillout_trigger = 10000
self._chillout_counter = 0
self._context = {}