def __init__(self, data):
do_update = False
success = None
agent_data = {
'devicename': None,
'id_agent': None,
'sources': [],
'timeseries': [],
'timefixed': [],
'max_timestamp': 0
}
ingest = drain.Drain(filename=None, data=data)
if ingest.valid() is False:
log_message = (
'Cache data at timestamp %s is invalid. Moving.'
'') % (ingest.timestamp())
log.log2warning(1054, log_message)
else:
agent_data['timeseries'] = ingest.timeseries()
agent_data['timefixed'] = ingest.timefixed()
agent_data['sources'] = ingest.sources()
agent_data['devicename'] = ingest.devicename()
agent_data['id_agent'] = ingest.id_agent()
agent_data['agent_name'] = ingest.agent()
agent_data['max_timestamp'] = ingest.timestamp()
# Upadate and note success
(success, datapoints_processed) = self._do_update(
agent_data)
def test_purge(self):
"""Testing function purge."""
directory = tempfile.mkdtemp()
filepath = ('%s/%s_%s_%s.json') % (
directory, self.data['timestamp'], self.data['id_agent'],
general.hashstring(self.data['devicename']))
with open(filepath, 'w') as f_handle:
json.dump(self.data, f_handle)
# Create a valid Drain object
ingest = drain.Drain(filepath)
# Test
self.assertEqual(os.path.exists(filepath), True)
self.assertEqual(os.path.isfile(filepath), True)
ingest.purge()
self.assertEqual(os.path.exists(filepath), False)
self.assertEqual(os.path.isfile(filepath), False)
def process(self):
"""Update the database using threads."""
# Initialize key variables
do_update = False
success = None
ingests = []
agent_data = {
'devicename': None,
'id_agent': None,
'sources': [],
'timeseries': [],
'timefixed': []
}
# Get the directory to which failed files will be moved
failure_directory = self.config.ingest_failures_directory()
# Initialize other values
max_timestamp = 0
# Get start time for activity
start_ts = time.time()
# Process file for each timestamp, starting from the oldes file
for data_dict in self.metadata:
# Initialize key variables
timestamp = data_dict['timestamp']
filepath = data_dict['filepath']
# Read in data
ingest = drain.Drain(filepath)
# Make sure file is OK
# Move it to a directory for further analysis
# by administrators
if ingest.valid() is False:
log_message = ('Cache ingest file %s is invalid. Moving.'
'') % (filepath)
log.log2warning(1054, log_message)
shutil.copy(filepath, failure_directory)
os.remove(filepath)
continue
# Append data
agent_data['timeseries'].extend(ingest.timeseries())
agent_data['timefixed'].extend(ingest.timefixed())
agent_data['sources'].extend(ingest.sources())
# Append ingest object to a list for later processing
ingests.append(ingest)
# Get the max timestamp
max_timestamp = max(timestamp, max_timestamp)
# Update information that doesn't change
if do_update is False:
agent_data['devicename'] = ingest.devicename()
agent_data['id_agent'] = ingest.id_agent()
agent_data['agent_name'] = ingest.agent()
# Get the PID file for the agent
pid_file = daemon.pid_file(self.ingester_agent_name)
# Update the PID file for the agent to ensure agentd.py
# doesn't kill the ingest while processing a long stream
# of files. If we are running this using __main__ = process()
# then the pid file wouldn't have been created, hence the logic.
if os.path.isfile(pid_file) is True:
daemon.update_pid(self.ingester_agent_name)
# Update update flag
do_update = True
# Process the rest
if do_update is True:
# Update remaining agent data
agent_data['max_timestamp'] = max_timestamp
# Add datapoints to the database
db_prepare = _PrepareDatabase(agent_data)
db_prepare.add_datapoints()
# Get the latest datapoints
datapoints = db_prepare.get_datapoints()
# Get the assigned index values for the device and agent
idx_device = db_prepare.idx_device()
idx_agent = db_prepare.idx_agent()
# Update database with data
db_update = _UpdateDB(agent_data, datapoints)
success = db_update.update()
# Update database table timestamps
update_timestamps = _UpdateLastTimestamp(idx_device, idx_agent,
max_timestamp)
update_timestamps.agent()
update_timestamps.deviceagent()
update_timestamps.datapoint()
# Purge source files. Only done after complete
# success of database updates. If not we could lose data in the
# event of an ingester crash. Ingester would re-read the files
# and process the non-duplicates, while deleting the duplicates.
for ingest in ingests:
ingest.purge()
# Log duration of activity
duration = time.time() - start_ts
if success is True:
log_message = (
'Agent %s was processed from %s cache files in %s '
'seconds (%s seconds/file, %s seconds/datapoint)'
'') % (agent_data['id_agent'], len(ingests),
round(duration, 4), round(
duration / len(ingests),
4), round(duration / len(datapoints), 6))
log.log2info(1007, log_message)
else:
log_message = (
'Failed to process all cache files for agent %s. '
'Investigate.') % (agent_data['id_agent'])
log.log2info(1008, log_message)
class TestDrain(unittest.TestCase):
"""Checks all functions and methods."""
# Initialize key variables
setup = unittest_setup.TestVariables()
data = setup.cache_data()
# Create valid file filled with valid data
directory = tempfile.mkdtemp()
filepath = ('%s/%s_%s_%s.json') % (
directory,
data['timestamp'],
data['id_agent'],
general.hashstring(data['devicename']))
with open(filepath, 'w') as f_handle:
json.dump(data, f_handle)
# Create a valid Drain object
ingest = drain.Drain(filepath)
@classmethod
def tearDownClass(cls):
"""Clean up when all over."""
# Delete unnecessary files
os.remove(cls.filepath)
def test___init__(self):
"""Testing function __init__."""
pass
def test_valid(self):
"""Testing function valid."""
# Test
result = self.ingest.valid()
self.assertEqual(result, True)
def test_id_agent(self):
"""Testing function id_agent."""
# Test
result = self.ingest.id_agent()
self.assertEqual(result, self.data['id_agent'])
def test_timestamp(self):
"""Testing function timestamp."""
# Test
result = self.ingest.timestamp()
self.assertEqual(result, self.data['timestamp'])
def test_agent(self):
"""Testing function agent."""
# Test
result = self.ingest.agent()
self.assertEqual(result, self.data['agent'])
def test_devicename(self):
"""Testing function devicename."""
# Test
result = self.ingest.devicename()
self.assertEqual(result, self.data['devicename'])
def test_counter32(self):
"""Testing function counter32."""
# Initialize key variables
datapoints = _expected(self.data, 32)
found = 0
# Test
results = self.ingest.counter32()
for datapoint in datapoints:
for result in results:
if result['id_datapoint'] == datapoint['id_datapoint']:
self.assertEqual(
result['timestamp'], datapoint['timestamp'])
self.assertEqual(
result['value'], datapoint['value'])
self.assertEqual(
result['id_agent'], datapoint['id_agent'])
# Increment found
found += 1
# Make sure that all are found
self.assertEqual(len(results), len(datapoints))
self.assertEqual(len(results), found)
def test_counter64(self):
"""Testing function counter64."""
# Initialize key variables
datapoints = _expected(self.data, 64)
found = 0
# Test
results = self.ingest.counter64()
for datapoint in datapoints:
for result in results:
if result['id_datapoint'] == datapoint['id_datapoint']:
self.assertEqual(
result['timestamp'], datapoint['timestamp'])
self.assertEqual(
result['value'], datapoint['value'])
self.assertEqual(
result['id_agent'], datapoint['id_agent'])
# Increment found
found += 1
# Make sure that all are found
self.assertEqual(len(results), len(datapoints))
self.assertEqual(len(results), found)
def test_floating(self):
"""Testing function floating."""
# Initialize key variables
datapoints = _expected(self.data, 1)
found = 0
# Test
results = self.ingest.floating()
for datapoint in datapoints:
for result in results:
if result['id_datapoint'] == datapoint['id_datapoint']:
self.assertEqual(
result['timestamp'], datapoint['timestamp'])
self.assertEqual(
result['value'], datapoint['value'])
self.assertEqual(
result['id_agent'], datapoint['id_agent'])
# Increment found
found += 1
# Make sure that all are found
self.assertEqual(len(results), len(datapoints))
self.assertEqual(len(results), found)
def test_timeseries(self):
"""Testing function timeseries."""
# Initialize key variables
datapoints = []
found = 0
# Populate datapoints list
datapoints.extend(_expected(self.data, 1))
datapoints.extend(_expected(self.data, 32))
datapoints.extend(_expected(self.data, 64))
# Test
results = self.ingest.timeseries()
for datapoint in datapoints:
for result in results:
if result['id_datapoint'] == datapoint['id_datapoint']:
self.assertEqual(
result['timestamp'], datapoint['timestamp'])
self.assertEqual(
result['value'], datapoint['value'])
self.assertEqual(
result['id_agent'], datapoint['id_agent'])
# Increment found
found += 1
# Make sure that all are found
self.assertEqual(len(results), len(datapoints))
self.assertEqual(len(results), found)
def test_timefixed(self):
"""Testing function timefixed."""
# Initialize key variables
datapoints = _expected(self.data, None)
found = 0
# Test
results = self.ingest.timefixed()
for datapoint in datapoints:
for result in results:
if result['id_datapoint'] == datapoint['id_datapoint']:
self.assertEqual(
result['timestamp'], datapoint['timestamp'])
self.assertEqual(
result['value'], datapoint['value'])
self.assertEqual(
result['id_agent'], datapoint['id_agent'])
# Increment found
found += 1
# Make sure that all are found
self.assertEqual(len(results), len(datapoints))
self.assertEqual(len(results), found)
def test_sources(self):
"""Testing function sources."""
# Initialize key variables
sources = _sources(self.data)
found = 0
# Test
results = self.ingest.sources()
for source in sources:
for result in results:
if result['id_datapoint'] == source['id_datapoint']:
self.assertEqual(
result['id_agent'], source['id_agent'])
self.assertEqual(
result['agent_label'], source['agent_label'])
self.assertEqual(
result['agent_source'], source['agent_source'])
self.assertEqual(
result['description'], source['description'])
self.assertEqual(
result['base_type'], source['base_type'])
# Increment found
found += 1
# Make sure that all are found
self.assertEqual(len(results), len(sources))
self.assertEqual(len(results), found)
def test_purge(self):
"""Testing function purge."""
directory = tempfile.mkdtemp()
filepath = ('%s/%s_%s_%s.json') % (
directory,
self.data['timestamp'],
self.data['id_agent'],
general.hashstring(self.data['devicename']))
with open(filepath, 'w') as f_handle:
json.dump(self.data, f_handle)
# Create a valid Drain object
ingest = drain.Drain(filepath)
# Test
self.assertEqual(os.path.exists(filepath), True)
self.assertEqual(os.path.isfile(filepath), True)
ingest.purge()
self.assertEqual(os.path.exists(filepath), False)
self.assertEqual(os.path.isfile(filepath), False)
def process(self):
"""Update the database using threads."""
# Initialize key variables
do_update = False
success = None
ingests = []
agent_data = {
'devicename': None,
'id_agent': None,
'sources': [],
'timeseries': [],
'timefixed': [],
'max_timestamp': 0
}
# Get the directory to which failed files will be moved
failure_directory = self.config.ingest_failures_directory()
# Get start time for activity
start_ts = time.time()
# Process file for each timestamp, starting from the oldes file
for data_dict in self.metadata:
# Initialize key variables
timestamp = data_dict['timestamp']
filepath = data_dict['filepath']
# Read in data
ingest = drain.Drain(filepath)
# Make sure file is OK
# Move it to a directory for further analysis
# by administrators
if ingest.valid() is False:
log_message = ('Cache ingest file %s is invalid. Moving.'
'') % (filepath)
log.log2warning(1054, log_message)
shutil.copy(filepath, failure_directory)
os.remove(filepath)
continue
# Append data
agent_data['timeseries'].extend(ingest.timeseries())
agent_data['timefixed'].extend(ingest.timefixed())
agent_data['sources'].extend(ingest.sources())
# Append ingest object to a list for later processing
ingests.append(ingest)
# Update information that doesn't change
if do_update is False:
agent_data['devicename'] = ingest.devicename()
agent_data['id_agent'] = ingest.id_agent()
agent_data['agent_name'] = ingest.agent()
# Get the PID file for the agent
pid_file = daemon.pid_file(self.ingester_agent_name)
else:
# Get the max timestamp
agent_data['max_timestamp'] = max(timestamp,
agent_data['max_timestamp'])
# Update the PID file for the agent to ensure agentd.py
# doesn't kill the ingest while processing a long stream
# of files. If we are running this using __main__ = process()
# then the pid file wouldn't have been created, hence the logic.
if os.path.isfile(pid_file) is True:
daemon.update_pid(self.ingester_agent_name)
# Update update flag
do_update = True
# Process the rest
if do_update is True:
# Upadate and note success
(success,
datapoints_processed) = self._do_update(agent_data, ingests)
# Log duration of activity
duration = time.time() - start_ts
if success is True:
log_message = (
'Agent %s was processed from %s cache files in %s '
'seconds (%s seconds/file, %s seconds/datapoint)'
'') % (agent_data['id_agent'], len(ingests),
round(duration, 4), round(
duration / len(ingests),
4), round(duration / datapoints_processed, 6))
log.log2info(1007, log_message)
else:
log_message = (
'Failed to process all cache files for agent %s. '
'Investigate.') % (agent_data['id_agent'])
log.log2info(1008, log_message)
