def test_stop_resume(self):
"""
Test the ability to stop and restart the process
"""
self.clean_file()
# Create and store the new driver state
self.memento = {
DataSourceConfigKey.HARVESTER: {
'last_filesize': 300,
'last_checksum': 'a640fd577c65ed07ed67f1d2e73d34e2'
},
DataSourceConfigKey.PARSER: {
'in_process_data': [],
'unprocessed_data': [[0, 69], [197, 300]],
'timestamp': 3583610106.0
}
}
self.driver = MflmFLORTDDataSetDriver(
self._driver_config()['startup_config'], self.memento,
self.data_callback, self.state_callback, self.exception_callback)
# create some data to parse
self.clear_async_data()
self.create_sample_data("node59p1_step2.dat", "node59p1.dat")
self.driver.start_sampling()
# verify data is produced
self.assert_data(FlortdParserDataParticle,
'test_data_2.txt.result.yml',
count=1,
timeout=10)
def test_sequences(self):
"""
Test new sequence flags are set correctly
"""
self.clean_file()
self.driver.start_sampling()
self.clear_async_data()
# step 2 contains 2 blocks, start with this and get both since we used them
# separately in other tests (no new sequences)
self.clear_async_data()
self.create_sample_data("node59p1_step2.dat", "node59p1.dat")
self.assert_data(FlortdParserDataParticle, 'test_data_1-2.txt.result.yml',
count=2, timeout=10)
# This file has had a section of FL data replaced with 0s, this should start a new
# sequence for the data following the missing AD data
self.clear_async_data()
self.create_sample_data('node59p1_step3.dat', "node59p1.dat")
self.assert_data(FlortdParserDataParticle, 'test_data_3.txt.result.yml',
count=3, timeout=10)
# Now fill in the zeroed section from step3, this should just return the new
# data with a new sequence flag
self.clear_async_data()
self.create_sample_data('node59p1_step4.dat', "node59p1.dat")
self.assert_data(FlortdParserDataParticle, 'test_data_4.txt.result.yml',
count=1, timeout=10)
# start over now, using step 4, make sure sequence flags just account for
# missing data in file (there are some sections of bad data that don't
# match in headers
self.driver.stop_sampling()
self.memento = None
self.driver = MflmFLORTDDataSetDriver(
self._driver_config()['startup_config'],
self.memento,
self.data_callback,
self.state_callback,
self.event_callback,
self.exception_callback)
self.driver.start_sampling()
self.clear_async_data()
self.create_sample_data('node59p1_step4.dat', "node59p1.dat")
self.assert_data(FlortdParserDataParticle, 'test_data_1-4.txt.result.yml',
count=6, timeout=10)
def test_stop_resume(self):
"""
Test the ability to stop and restart the process
"""
self.clean_file()
# Create and store the new driver state
self.memento = {DataSourceConfigKey.HARVESTER: {'last_filesize': 300,
'last_checksum': 'a640fd577c65ed07ed67f1d2e73d34e2'},
DataSourceConfigKey.PARSER: {'in_process_data': [],
'unprocessed_data':[[0,69], [197,300]],
'timestamp': 3583610106.0}}
self.driver = MflmFLORTDDataSetDriver(
self._driver_config()['startup_config'],
self.memento,
self.data_callback,
self.state_callback,
self.exception_callback)
# create some data to parse
self.clear_async_data()
self.create_sample_data("node59p1_step2.dat", "node59p1.dat")
self.driver.start_sampling()
# verify data is produced
self.assert_data(FlortdParserDataParticle, 'test_data_2.txt.result.yml',
count=1, timeout=10)
def test_get(self):
"""
Test that we can get data from files. Verify that the driver
sampling can be started and stopped
"""
self.clean_file()
# Start sampling and watch for an exception
self.driver.start_sampling()
self.clear_async_data()
self.create_sample_data("node59p1_step1.dat", "node59p1.dat")
self.assert_data(FlortdParserDataParticle, 'test_data_1.txt.result.yml',
count=1, timeout=10)
# there is only one file we read from, this example 'appends' data to
# the end of the node59p1.dat file, and the data from the new append
# is returned (not including the original data from _step1)
self.clear_async_data()
self.create_sample_data("node59p1_step2.dat", "node59p1.dat")
self.assert_data(FlortdParserDataParticle, 'test_data_2.txt.result.yml',
count=1, timeout=10)
# now 'appends' the rest of the data and just check if we get the right number
self.clear_async_data()
self.create_sample_data("node59p1_step4.dat", "node59p1.dat")
self.assert_data(FlortdParserDataParticle, count=4, timeout=10)
self.driver.stop_sampling()
# Reset the driver with no memento
self.memento = None
self.driver = MflmFLORTDDataSetDriver(
self._driver_config()['startup_config'],
self.memento,
self.data_callback,
self.state_callback,
self.event_callback,
self.exception_callback)
self.driver.start_sampling()
self.clear_async_data()
self.create_sample_data("node59p1_step1.dat", "node59p1.dat")
self.assert_data(FlortdParserDataParticle, count=1, timeout=10)
def test_stop_resume(self):
"""
Test the ability to stop and restart the process
"""
self.clean_file()
self.create_sample_data("node59p1_step1.dat", "node59p1.dat")
driver_config = self._driver_config()['startup_config']
fullfile = os.path.join(driver_config['harvester']['directory'],
driver_config['harvester']['pattern'])
mod_time = os.path.getmtime(fullfile)
# Create and store the new driver state
self.memento = {DriverStateKey.FILE_SIZE: 300,
DriverStateKey.FILE_CHECKSUM: 'a640fd577c65ed07ed67f1d2e73d34e2',
DriverStateKey.FILE_MOD_DATE: mod_time,
DriverStateKey.PARSER_STATE: {'in_process_data': [],
'unprocessed_data':[[0,69], [197,300]],
'timestamp': 3583610106.0}
}
self.driver = MflmFLORTDDataSetDriver(
self._driver_config()['startup_config'],
self.memento,
self.data_callback,
self.state_callback,
self.event_callback,
self.exception_callback)
# create some data to parse
self.clear_async_data()
self.create_sample_data("node59p1_step2.dat", "node59p1.dat")
self.driver.start_sampling()
# verify data is produced
self.assert_data(FlortdParserDataParticle, 'test_data_2.txt.result.yml',
count=1, timeout=10)
from mi.dataset.dataset_driver import DriverParameter, DriverStateKey
from mi.dataset.driver.mflm.flort.driver import MflmFLORTDDataSetDriver, DataSourceKey
from mi.dataset.parser.flortd import FlortdParserDataParticle, \
FlortdRecoveredParserDataParticle, DataParticleType
from mi.dataset.parser.sio_mule_common import StateKey
TELEM_DIR = '/tmp/dsatest1'
RECOV_DIR = '/tmp/dsatest2'
DataSetTestCase.initialize(
driver_module='mi.dataset.driver.mflm.flort.driver',
driver_class='MflmFLORTDDataSetDriver',
agent_resource_id='123xyz',
agent_name='Agent007',
agent_packet_config=MflmFLORTDDataSetDriver.stream_config(),
startup_config={
DataSourceConfigKey.HARVESTER: {
DataSourceKey.FLORT_DJ_SIO_TELEMETERED: {
DataSetDriverConfigKeys.DIRECTORY: TELEM_DIR,
DataSetDriverConfigKeys.PATTERN: 'node59p1.dat',
DataSetDriverConfigKeys.FREQUENCY: 1,
DataSetDriverConfigKeys.FILE_MOD_WAIT_TIME: 2,
},
DataSourceKey.FLORT_DJ_SIO_RECOVERED: {
DataSetDriverConfigKeys.DIRECTORY: RECOV_DIR,
DataSetDriverConfigKeys.PATTERN: 'FLO*.DAT',
DataSetDriverConfigKeys.FREQUENCY: 1,
DataSetDriverConfigKeys.FILE_MOD_WAIT_TIME: 2,
},
},
from mi.dataset.driver.mflm.flort.driver import MflmFLORTDDataSetDriver, DataSourceKey
from mi.dataset.parser.flortd import FlortdParserDataParticle, \
FlortdRecoveredParserDataParticle, DataParticleType
from mi.dataset.parser.sio_mule_common import StateKey
TELEM_DIR = '/tmp/dsatest1'
RECOV_DIR = '/tmp/dsatest2'
DataSetTestCase.initialize(
driver_module='mi.dataset.driver.mflm.flort.driver',
driver_class='MflmFLORTDDataSetDriver',
agent_resource_id = '123xyz',
agent_name = 'Agent007',
agent_packet_config = MflmFLORTDDataSetDriver.stream_config(),
startup_config = {
DataSourceConfigKey.HARVESTER:
{
DataSourceKey.FLORT_DJ_SIO_TELEMETERED: {
DataSetDriverConfigKeys.DIRECTORY: TELEM_DIR,
DataSetDriverConfigKeys.PATTERN: 'node59p1.dat',
DataSetDriverConfigKeys.FREQUENCY: 1,
DataSetDriverConfigKeys.FILE_MOD_WAIT_TIME: 2,
},
DataSourceKey.FLORT_DJ_SIO_RECOVERED: {
DataSetDriverConfigKeys.DIRECTORY: RECOV_DIR,
DataSetDriverConfigKeys.PATTERN: 'FLO*.DAT',
DataSetDriverConfigKeys.FREQUENCY: 1,
DataSetDriverConfigKeys.FILE_MOD_WAIT_TIME: 2,
},
class IntegrationTest(DataSetIntegrationTestCase):
def clean_file(self):
# remove just the file we are using
driver_config = self._driver_config()['startup_config']
log.debug('startup config %s', driver_config)
fullfile = os.path.join(driver_config['harvester']['directory'],
driver_config['harvester']['pattern'])
if os.path.exists(fullfile):
os.remove(fullfile)
def test_get(self):
"""
Test that we can get data from files. Verify that the driver
sampling can be started and stopped
"""
self.clean_file()
# Start sampling and watch for an exception
self.driver.start_sampling()
self.clear_async_data()
self.create_sample_data("node59p1_step1.dat", "node59p1.dat")
self.assert_data(FlortdParserDataParticle,
'test_data_1.txt.result.yml',
count=1,
timeout=10)
# there is only one file we read from, this example 'appends' data to
# the end of the node59p1.dat file, and the data from the new append
# is returned (not including the original data from _step1)
self.clear_async_data()
self.create_sample_data("node59p1_step2.dat", "node59p1.dat")
self.assert_data(FlortdParserDataParticle,
'test_data_2.txt.result.yml',
count=1,
timeout=10)
# now 'appends' the rest of the data and just check if we get the right number
self.clear_async_data()
self.create_sample_data("node59p1_step4.dat", "node59p1.dat")
self.assert_data(FlortdParserDataParticle, count=4, timeout=10)
self.driver.stop_sampling()
# reset the parser and harvester states
self.driver.clear_states()
self.driver.start_sampling()
self.clear_async_data()
self.create_sample_data("node59p1_step1.dat", "node59p1.dat")
self.assert_data(FlortdParserDataParticle, count=1, timeout=10)
def test_harvester_new_file_exception(self):
"""
Test an exception raised after the driver is started during
the file read. Should call the exception callback.
"""
self.clean_file()
# create the file so that it is unreadable
self.create_sample_data("node59p1_step1.dat", "node59p1.dat", mode=000)
# Start sampling and watch for an exception
self.driver.start_sampling()
self.assert_exception(IOError)
# At this point the harvester thread is dead. The agent
# exception handle should handle this case.
def test_stop_resume(self):
"""
Test the ability to stop and restart the process
"""
self.clean_file()
# Create and store the new driver state
self.memento = {
DataSourceConfigKey.HARVESTER: {
'last_filesize': 300,
'last_checksum': 'a640fd577c65ed07ed67f1d2e73d34e2'
},
DataSourceConfigKey.PARSER: {
'in_process_data': [],
'unprocessed_data': [[0, 69], [197, 300]],
'timestamp': 3583610106.0
}
}
self.driver = MflmFLORTDDataSetDriver(
self._driver_config()['startup_config'], self.memento,
self.data_callback, self.state_callback, self.exception_callback)
# create some data to parse
self.clear_async_data()
self.create_sample_data("node59p1_step2.dat", "node59p1.dat")
self.driver.start_sampling()
# verify data is produced
self.assert_data(FlortdParserDataParticle,
'test_data_2.txt.result.yml',
count=1,
timeout=10)
def test_sequences(self):
"""
Test new sequence flags are set correctly
"""
self.clean_file()
self.driver.start_sampling()
self.clear_async_data()
# step 2 contains 2 blocks, start with this and get both since we used them
# separately in other tests (no new sequences)
self.clear_async_data()
self.create_sample_data("node59p1_step2.dat", "node59p1.dat")
self.assert_data(FlortdParserDataParticle,
'test_data_1-2.txt.result.yml',
count=2,
timeout=10)
# This file has had a section of FL data replaced with 0s, this should start a new
# sequence for the data following the missing AD data
self.clear_async_data()
self.create_sample_data('node59p1_step3.dat', "node59p1.dat")
self.assert_data(FlortdParserDataParticle,
'test_data_3.txt.result.yml',
count=3,
timeout=10)
# Now fill in the zeroed section from step3, this should just return the new
# data with a new sequence flag
self.clear_async_data()
self.create_sample_data('node59p1_step4.dat', "node59p1.dat")
self.assert_data(FlortdParserDataParticle,
'test_data_4.txt.result.yml',
count=1,
timeout=10)
# start over now, using step 4, make sure sequence flags just account for
# missing data in file (there are some sections of bad data that don't
# match in headers
self.driver.stop_sampling()
# reset the parser and harvester states
self.driver.clear_states()
self.driver.start_sampling()
self.clear_async_data()
self.create_sample_data('node59p1_step4.dat', "node59p1.dat")
self.assert_data(FlortdParserDataParticle,
'test_data_1-4.txt.result.yml',
count=6,
timeout=10)
class IntegrationTest(DataSetIntegrationTestCase):
def clean_file(self):
# remove just the file we are using
driver_config = self._driver_config()['startup_config']
log.debug('startup config %s', driver_config)
fullfile = os.path.join(driver_config['harvester']['directory'],
driver_config['harvester']['pattern'])
if os.path.exists(fullfile):
os.remove(fullfile)
def test_get(self):
"""
Test that we can get data from files. Verify that the driver
sampling can be started and stopped
"""
self.clean_file()
# Start sampling and watch for an exception
self.driver.start_sampling()
self.clear_async_data()
self.create_sample_data("node59p1_step1.dat", "node59p1.dat")
self.assert_data(FlortdParserDataParticle, 'test_data_1.txt.result.yml',
count=1, timeout=10)
# there is only one file we read from, this example 'appends' data to
# the end of the node59p1.dat file, and the data from the new append
# is returned (not including the original data from _step1)
self.clear_async_data()
self.create_sample_data("node59p1_step2.dat", "node59p1.dat")
self.assert_data(FlortdParserDataParticle, 'test_data_2.txt.result.yml',
count=1, timeout=10)
# now 'appends' the rest of the data and just check if we get the right number
self.clear_async_data()
self.create_sample_data("node59p1_step4.dat", "node59p1.dat")
self.assert_data(FlortdParserDataParticle, count=4, timeout=10)
self.driver.stop_sampling()
# reset the parser and harvester states
self.driver.clear_states()
self.driver.start_sampling()
self.clear_async_data()
self.create_sample_data("node59p1_step1.dat", "node59p1.dat")
self.assert_data(FlortdParserDataParticle, count=1, timeout=10)
def test_harvester_new_file_exception(self):
"""
Test an exception raised after the driver is started during
the file read. Should call the exception callback.
"""
self.clean_file()
# create the file so that it is unreadable
self.create_sample_data("node59p1_step1.dat", "node59p1.dat", mode=000)
# Start sampling and watch for an exception
self.driver.start_sampling()
self.assert_exception(IOError)
# At this point the harvester thread is dead. The agent
# exception handle should handle this case.
def test_stop_resume(self):
"""
Test the ability to stop and restart the process
"""
self.clean_file()
# Create and store the new driver state
self.memento = {DataSourceConfigKey.HARVESTER: {'last_filesize': 300,
'last_checksum': 'a640fd577c65ed07ed67f1d2e73d34e2'},
DataSourceConfigKey.PARSER: {'in_process_data': [],
'unprocessed_data':[[0,69], [197,300]],
'timestamp': 3583610106.0}}
self.driver = MflmFLORTDDataSetDriver(
self._driver_config()['startup_config'],
self.memento,
self.data_callback,
self.state_callback,
self.exception_callback)
# create some data to parse
self.clear_async_data()
self.create_sample_data("node59p1_step2.dat", "node59p1.dat")
self.driver.start_sampling()
# verify data is produced
self.assert_data(FlortdParserDataParticle, 'test_data_2.txt.result.yml',
count=1, timeout=10)
def test_sequences(self):
"""
Test new sequence flags are set correctly
"""
self.clean_file()
self.driver.start_sampling()
self.clear_async_data()
# step 2 contains 2 blocks, start with this and get both since we used them
# separately in other tests (no new sequences)
self.clear_async_data()
self.create_sample_data("node59p1_step2.dat", "node59p1.dat")
self.assert_data(FlortdParserDataParticle, 'test_data_1-2.txt.result.yml',
count=2, timeout=10)
# This file has had a section of FL data replaced with 0s, this should start a new
# sequence for the data following the missing AD data
self.clear_async_data()
self.create_sample_data('node59p1_step3.dat', "node59p1.dat")
self.assert_data(FlortdParserDataParticle, 'test_data_3.txt.result.yml',
count=3, timeout=10)
# Now fill in the zeroed section from step3, this should just return the new
# data with a new sequence flag
self.clear_async_data()
self.create_sample_data('node59p1_step4.dat', "node59p1.dat")
self.assert_data(FlortdParserDataParticle, 'test_data_4.txt.result.yml',
count=1, timeout=10)
# start over now, using step 4, make sure sequence flags just account for
# missing data in file (there are some sections of bad data that don't
# match in headers
self.driver.stop_sampling()
# reset the parser and harvester states
self.driver.clear_states()
self.driver.start_sampling()
self.clear_async_data()
self.create_sample_data('node59p1_step4.dat', "node59p1.dat")
self.assert_data(FlortdParserDataParticle, 'test_data_1-4.txt.result.yml',
count=6, timeout=10)