def storages(self) -> None:
"""Saves all storages such as vsnaps."""
table_name = 'storages'
# deactivate verbose to avoid double print
result = MethodUtils.query_something(
name=table_name,
source_func=self.__api_queries.get_storages,
deactivate_verbose=True
)
# get calulated extra info
for row in result:
row['siteName'] = self.__system_methods.site_name_by_id(row['site'])
if('free' in row and 'total' in row
and row['free'] > 0 and row['total'] > 0):
row['used'] = row['total'] - row['free']
row['pct_free'] = row['free'] / row['total'] * 100
row['pct_used'] = row['used'] / row['total'] * 100
if(self.__verbose):
MethodUtils.my_print(data=result)
LOGGER.info(">> inserting storage info into database")
self.__influx_client.insert_dicts_to_buffer(table_name=table_name, list_with_dicts=result)
def vadps(self) -> None:
"""Requests and stores all VAPD proxys from the SPP-server."""
table_name = 'vadps'
result = MethodUtils.query_something(
name=table_name,
source_func=self.__api_queries.get_vadps,
rename_tuples=[
('id', 'vadpId'),
('displayName', 'vadpName')
],
deactivate_verbose=True
)
for row in result:
row['siteName'] = self.__system_methods.site_name_by_id(row['siteId'])
if(self.__verbose):
MethodUtils.my_print(result)
self.__influx_client.insert_dicts_to_buffer(table_name=table_name, list_with_dicts=result)
def sppcatalog(self) -> None:
"""Saves the spp filesystem catalog information."""
result = MethodUtils.query_something(
name="sppcatalog stats",
source_func=self.__api_queries.get_file_system,
deactivate_verbose=True)
value_renames = {
'Configuration': "Configuration",
'Search': "File",
'System': "System",
'Catalog': "Recovery"
}
for row in result:
row['name'] = value_renames[row['name']]
if (self.__verbose):
MethodUtils.my_print(result)
self.__influx_client.insert_dicts_to_buffer("sppcatalog", result)
def __exec_save_commands(self, ssh_type: SshTypes,
command_list: List[SshCommand]) -> None:
"""Helper method, executes and saves all commands via ssh for all clients of the given type.
Used cause of the individual save of the results + the verbose print.
This functionality is not integrated in MethodUtils cause of the missing Influxclient in static context.
Arguments:
ssh_type {SshTypes} -- all clients of this type are going to be queried
command_list {List[SshCommand]} -- list of commands to be executed on all clients.
"""
result_tuples = MethodUtils.ssh_execute_commands(
ssh_clients=self.__ssh_clients,
ssh_type=ssh_type,
command_list=command_list)
for (table_name, insert_list) in result_tuples:
if (self.__verbose):
MethodUtils.my_print(insert_list)
self.__influx_client.insert_dicts_to_buffer(
table_name=table_name, list_with_dicts=insert_list)
def create_inventory_summary(self) -> None:
"""Retrieves and calculate VM inventory summary by influx catalog data."""
LOGGER.info(
"> computing inventory information (not from catalog, means not only backup data is calculated)")
# ########## Part 1: Check if something need to be computed #############
# query the timestamp of the last vm, commited as a field is always needed by influx rules.
vms_table = self.__influx_client.database["vms"]
time_query = SelectionQuery(
keyword=Keyword.SELECT,
tables=[vms_table],
fields=['time', 'commited'],
limit=1,
order_direction="DESC"
)
result = self.__influx_client.send_selection_query(time_query) # type: ignore
last_vm: Dict[str, Any] = next(result.get_points(), None) # type: ignore
if(not last_vm):
raise ValueError("no VM's stored, either none are available or you have to store vm's first")
# query the last vm stats to compare timestamps with last vm
last_time_ms: int = last_vm["time"]
last_time = SppUtils.epoch_time_to_seconds(last_time_ms)
where_str = "time = {}s".format(last_time)
vm_stats_table = self.__influx_client.database["vmStats"]
vm_stats_query = SelectionQuery(
keyword=Keyword.SELECT,
tables=[vm_stats_table],
fields=['*'],
where_str=where_str,
limit=1
)
result = self.__influx_client.send_selection_query(vm_stats_query) # type: ignore
if(len(list(result.get_points())) > 0): # type: ignore
LOGGER.info(">> vm statistics already computed, skipping")
return
# ####################### Part 2: Compute new Data ####################
fields = [
'uptime',
'powerState',
'commited',
'uncommited',
'memory',
'host',
'vmVersion',
'isProtected',
'inHLO',
'isEncrypted',
'datacenterName',
'hypervisorType',
]
query = SelectionQuery(
keyword=Keyword.SELECT,
tables=[vms_table],
fields=fields,
where_str=where_str
)
result = self.__influx_client.send_selection_query(query) # type: ignore
all_vms_list: List[Dict[str, Union[str, int, float, bool]]] = list(result.get_points()) # type: ignore
# skip if no new data can be computed
if(not all_vms_list):
raise ValueError("no VM's stored, either none are available or store vms first")
vm_stats: Dict[str, Any] = {}
try:
vm_stats['vmCount'] = len(all_vms_list)
# returns largest/smallest
vm_stats['vmMaxSize'] = max(all_vms_list, key=(lambda mydict: mydict['commited']))['commited']
# on purpose zero size vm's are ignored
vms_no_null_size = list(filter(lambda mydict: mydict['commited'] > 0, all_vms_list))
if(vms_no_null_size):
vm_stats['vmMinSize'] = min(vms_no_null_size, key=(lambda mydict: mydict['commited']))['commited']
vm_stats['vmSizeTotal'] = sum(mydict['commited'] for mydict in all_vms_list)
vm_stats['vmAvgSize'] = vm_stats['vmSizeTotal'] / vm_stats['vmCount']
# returns largest/smallest
vm_stats['vmMaxUptime'] = max(all_vms_list, key=(lambda mydict: mydict['uptime']))['uptime']
# on purpose zero size vm's are ignored
vms_no_null_time = list(filter(lambda mydict: mydict['uptime'] > 0, all_vms_list))
if(vms_no_null_time):
vm_stats['vmMinUptime'] = min(vms_no_null_time, key=(lambda mydict: mydict['uptime']))['uptime']
vm_stats['vmUptimeTotal'] = sum(mydict['uptime'] for mydict in all_vms_list)
vm_stats['vmAvgUptime'] = vm_stats['vmUptimeTotal'] / vm_stats['vmCount']
vm_stats['vmCountProtected'] = len(list(filter(lambda mydict: mydict['isProtected'] == "True", all_vms_list)))
vm_stats['vmCountUnprotected'] = vm_stats['vmCount'] - vm_stats['vmCountProtected']
vm_stats['vmCountEncrypted'] = len(list(filter(lambda mydict: mydict['isEncrypted'] == "True", all_vms_list)))
vm_stats['vmCountPlain'] = vm_stats['vmCount'] - vm_stats['vmCountEncrypted']
vm_stats['vmCountHLO'] = len(list(filter(lambda mydict: mydict['inHLO'] == "True", all_vms_list)))
vm_stats['vmCountNotHLO'] = vm_stats['vmCount'] - vm_stats['vmCountHLO']
vm_stats['vmCountVMware'] = len(list(filter(lambda mydict: mydict['hypervisorType'] == "vmware", all_vms_list)))
vm_stats['vmCountHyperV'] = len(list(filter(lambda mydict: mydict['hypervisorType'] == "hyperv", all_vms_list)))
vm_stats['nrDataCenters'] = len(set(map(lambda vm: vm['datacenterName'], all_vms_list)))
vm_stats['nrHosts'] = len(set(map(lambda vm: vm['host'], all_vms_list)))
vm_stats['time'] = all_vms_list[0]['time']
if self.__verbose:
MethodUtils.my_print([vm_stats])
except (ZeroDivisionError, AttributeError, KeyError, ValueError) as error:
ExceptionUtils.exception_info(error=error)
raise ValueError("error when computing extra vm stats", vm_stats)
LOGGER.info(">> store vmInventory information in Influx DB")
self.__influx_client.insert_dicts_to_buffer("vmStats", [vm_stats])
def __job_by_id(self, job_id: str) -> None:
"""Requests and saves all jobsessions for a jobID"""
if (not job_id):
raise ValueError("need job_id to request jobs for that ID")
keyword = Keyword.SELECT
table = self.__influx_client.database['jobs']
query = SelectionQuery(
keyword=keyword,
fields=['id', 'jobName'],
tables=[table],
where_str=
f'jobId = \'{job_id}\' AND time > now() - {table.retention_policy.duration}'
# unnecessary filter?
)
LOGGER.debug(query)
result = self.__influx_client.send_selection_query( # type: ignore
query)
id_list: List[int] = []
row: Dict[str, Any] = {} # make sure the var exists
for row in result.get_points(): # type: ignore
id_list.append(row['id']) # type: ignore
if (not row):
LOGGER.info(
f">>> no entries in Influx database found for job with id {job_id}"
)
# calculate time to be requested
(rp_hours, rp_mins, rp_secs) = InfluxUtils.transform_time_literal(
table.retention_policy.duration, single_vals=True)
max_request_timestamp = datetime.datetime.now() - datetime.timedelta(
hours=float(rp_hours),
minutes=float(rp_mins),
seconds=float(rp_secs))
unixtime = int(time.mktime(max_request_timestamp.timetuple()))
# make it ms instead of s
unixtime *= 1000
# retrieve all jobs in this category from REST API, filter to avoid drops due RP
LOGGER.debug(f">>> requesting job sessions for id {job_id}")
all_jobs = self.__api_queries.get_jobs_by_id(job_id=job_id)
# filter all jobs where start time is not bigger then the retention time limit
latest_jobs = list(
filter(lambda job: job['start'] > unixtime, all_jobs))
missing_jobs = list(
filter(lambda job_api: int(job_api['id']) not in id_list,
latest_jobs))
if (len(missing_jobs) > 0):
LOGGER.info(
f">>> {len(missing_jobs)} datasets missing in DB for jobId: {job_id}"
)
# Removes `statistics` from jobs
self.__compute_extra_job_stats(missing_jobs, job_id)
LOGGER.info(
f">>> inserting job information of {len(missing_jobs)} jobs into jobs table"
)
self.__influx_client.insert_dicts_to_buffer(
list_with_dicts=missing_jobs, table_name="jobs")
else:
LOGGER.info(
f">>> no new jobs to insert into DB for job with ID {job_id}")
# TODO: artifact from older versions, not replaced yet
if self.__verbose:
display_number_of_jobs = 5
keyword = Keyword.SELECT
table = self.__influx_client.database['jobs']
where_str = 'jobId = \'{}\''.format(job_id)
query = SelectionQuery(keyword=keyword,
fields=['*'],
tables=[table],
where_str=where_str,
order_direction='DESC',
limit=display_number_of_jobs)
result = self.__influx_client.send_selection_query( # type: ignore
query) # type: ignore
result_list: List[str] = list(result.get_points()) # type: ignore
job_list_to_print: List[str] = []
for row_str in result_list:
job_list_to_print.append(row_str)
print()
print(
"displaying last {} jobs for job with ID {} from database (as available)"
.format(display_number_of_jobs, job_id))
MethodUtils.my_print(data=job_list_to_print)
