def sendBacklogDataToModel(conn, metricId, logger):
""" Send backlog data to OPF/CLA model. Do not call this before starting the
model.
:param conn: SQLAlchemy Connection object for executing SQL
:type conn: sqlalchemy.engine.Connection
:param metricId: unique identifier of the metric row
:param logger: logger object
"""
backlogData = tuple(
model_swapper_interface.ModelInputRow(
rowID=md.rowid, data=(md.timestamp, md.metric_value,))
for md in repository.getMetricData(
conn,
metricId,
fields=[schema.metric_data.c.rowid,
schema.metric_data.c.timestamp,
schema.metric_data.c.metric_value]))
if backlogData:
with model_swapper_interface.ModelSwapperInterface() as modelSwapper:
model_data_feeder.sendInputRowsToModel(
modelId=metricId,
inputRows=backlogData,
batchSize=config.getint("metric_streamer", "chunk_size"),
modelSwapper=modelSwapper,
logger=logger,
profiling=(config.getboolean("debugging", "profiling") or
logger.isEnabledFor(logging.DEBUG)))
logger.info("sendBacklogDataToModel: sent %d backlog data rows to model=%s",
len(backlogData), metricId)
def sendBacklogDataToModel(conn, metricId, logger):
""" Send backlog data to OPF/CLA model. Do not call this before starting the
model.
:param conn: SQLAlchemy Connection object for executing SQL
:type conn: sqlalchemy.engine.Connection
:param metricId: unique identifier of the metric row
:param logger: logger object
"""
backlogData = tuple(
model_swapper_interface.ModelInputRow(
rowID=md.rowid, data=(md.timestamp, md.metric_value,))
for md in repository.getMetricData(
conn,
metricId,
fields=[schema.metric_data.c.rowid,
schema.metric_data.c.timestamp,
schema.metric_data.c.metric_value]))
if backlogData:
with model_swapper_interface.ModelSwapperInterface() as modelSwapper:
model_data_feeder.sendInputRowsToModel(
modelId=metricId,
inputRows=backlogData,
batchSize=config.getint("metric_streamer", "chunk_size"),
modelSwapper=modelSwapper,
logger=logger,
profiling=(config.getboolean("debugging", "profiling") or
logger.isEnabledFor(logging.DEBUG)))
logger.info("sendBacklogDataToModel: sent %d backlog data rows to model=%s",
len(backlogData), metricId)
def _sendInputRowsToModel(self, inputRows, metricID, modelSwapper):
""" Send input rows to CLA model for processing
:param inputRows: sequence of model_swapper_interface.ModelInputRow objects
"""
model_data_feeder.sendInputRowsToModel(
modelId=metricID,
inputRows=inputRows,
batchSize=self._metricDataOutputChunkSize,
modelSwapper=modelSwapper,
logger=self._log,
profiling=self._profiling)
def _sendInputRowsToModel(self, inputRows, metricID, modelSwapper):
""" Send input rows to CLA model for processing
:param inputRows: sequence of model_swapper_interface.ModelInputRow objects
"""
model_data_feeder.sendInputRowsToModel(
modelId=metricID,
inputRows=inputRows,
batchSize=self._metricDataOutputChunkSize,
modelSwapper=modelSwapper,
logger=self._log,
profiling=self._profiling)