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Splunk_Deploiement/apps/trackme/bin/trackmereplicator.py

374 lines
13 KiB

#!/usr/bin/env python
# coding=utf-8
__author__ = "TrackMe Limited"
__copyright__ = "Copyright 2022-2026, TrackMe Limited, U.K."
__credits__ = "TrackMe Limited, U.K."
__license__ = "TrackMe Limited, all rights reserved"
__version__ = "0.1.0"
__maintainer__ = "TrackMe Limited, U.K."
__email__ = "support@trackme-solutions.com"
__status__ = "PRODUCTION"
# Standard library
import os
import sys
import time
import json
# External libraries
import urllib3
# Disable urllib3 warnings
urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning)
# Configure logging
import logging
from logging.handlers import RotatingFileHandler
splunkhome = os.environ["SPLUNK_HOME"]
# set logging
filehandler = RotatingFileHandler(
os.path.join(splunkhome, "var", "log", "splunk", "trackme_trackmereplicator.log"),
mode="a",
maxBytes=10_000_000,
backupCount=1,
)
formatter = logging.Formatter(
"%(asctime)s %(levelname)s %(filename)s %(funcName)s %(lineno)d %(message)s"
)
logging.Formatter.converter = time.gmtime
filehandler.setFormatter(formatter)
log = logging.getLogger() # root logger - Good to get it only once.
for hdlr in log.handlers[:]: # remove the existing file handlers
if isinstance(hdlr, logging.FileHandler):
log.removeHandler(hdlr)
log.addHandler(filehandler) # set the new handler
# set the log level to INFO, DEBUG as the default is ERROR
log.setLevel(logging.INFO)
# append current directory
sys.path.append(os.path.dirname(os.path.abspath(__file__)))
# import libs
import import_declare_test
# import Splunk libs
from splunklib.searchcommands import (
dispatch,
StreamingCommand,
Configuration,
Option,
validators,
)
# Import trackme libs
from trackme_libs import trackme_reqinfo, run_splunk_search
@Configuration(distributed=False)
class TrackMeReplicatorHandler(StreamingCommand):
component = Option(
doc="""
**Syntax:** **component=****
**Description:** Specify the TrackMe component.""",
require=True,
default="None",
validate=validators.Match("component", r"^.*$"),
)
source_tenant_id = Option(
doc="""
**Syntax:** **source_tenant_id=****
**Description:** Specify the TrackMe source tenant_id.""",
require=True,
default="None",
validate=validators.Match("source_tenant_id", r"^.*$"),
)
target_tenant_id = Option(
doc="""
**Syntax:** **target_tenant_id=****
**Description:** Specify the TrackMe target tenant_id.""",
require=True,
default="None",
validate=validators.Match("target_tenant_id", r"^.*$"),
)
key_field = Option(
doc="""
**Syntax:** **key_field=****
**Description:** The name of the field containing the KVstore record key value.""",
require=True,
default="None",
validate=validators.Match("key_field", r"^.*$"),
)
def get_kv_collection(self, collection, collection_name):
# get all records
start_time = time.time()
collection_records = []
collection_records_keys = set()
try:
end = False
skip_tracker = 0
while not end:
process_collection_records = collection.data.query(skip=skip_tracker)
if len(process_collection_records) == 0:
end = True
else:
for record in process_collection_records:
collection_records.append(record)
collection_records_keys.add(record["_key"])
skip_tracker += 1000
logging.info(
f'context="perf", KVstore select terminated, no_records="{len(collection_records)}", run_time="{round((time.time() - start_time), 3)}", collection="{collection_name}"'
)
return collection_records, collection_records_keys
except Exception as e:
logging.error(
f"failed to call get_kv_collection, args={collection_name}, exception={str(e)}"
)
raise Exception(str(e))
def batch_update_kvstore(
self, final_records, target_collection, target_collection_name
):
# batch update/insert
start_time = time.time()
failures_count = 0
exceptions_list = []
# process by chunk
chunks = [final_records[i : i + 500] for i in range(0, len(final_records), 500)]
for chunk in chunks:
try:
target_collection.data.batch_save(*chunk)
except Exception as e:
failures_count += 1
msg = f'KVstore batch failed with exception="{str(e)}"'
exceptions_list.append(msg)
logging.error(msg)
run_time = round((time.time() - start_time), 3)
# perf counter for the batch operation
logging.info(
f'context="perf", batch KVstore update terminated, no_records="{len(final_records)}", run_time="{run_time}", collection="{target_collection_name}"'
)
return failures_count, exceptions_list, run_time
def register_summary(self):
search = f"| `register_tenant_component_summary({self.target_tenant_id}, {self.component})`"
kwargs_oneshot = {
"earliest_time": "-5m",
"latest_time": "now",
"count": 0,
"output_mode": "json",
}
logging.debug(f'search="{search}"')
component_summary_results = []
# run search
try:
reader = run_splunk_search(
self.service,
search,
kwargs_oneshot,
24,
5,
)
for item in reader:
if isinstance(item, dict):
logging.debug(f'search_results="{item}"')
# append to the list of searches
component_summary_results.append(
{
"tenant_id": self.target_tenant_id,
"comppnent": self.component,
"entities_count": item,
}
)
except Exception as e:
msg = f'tenant_id="{self.target_tenant_id}", component="splk-{self.component}", search failed with exception="{str(e)}"'
logging.error(msg)
raise Exception(msg)
return component_summary_results
def stream(self, records):
# performance counter
main_start = time.time()
# Get request info and set logging level
reqinfo = trackme_reqinfo(
self._metadata.searchinfo.session_key, self._metadata.searchinfo.splunkd_uri
)
log.setLevel(reqinfo["logging_level"])
# common collections
collections_list = [
f"kv_trackme_{self.component}_tenant",
"kv_trackme_common_logical_group_tenant",
]
# we will add here any additional collection to be synced
if self.component in "dsm":
collections_list.append(f"kv_trackme_{self.component}_data_sampling_tenant")
elif self.component in "wlk":
collections_list.append(
f"kv_trackme_{self.component}_apps_enablement_tenant"
)
# loop and proceed
for handle_collection in collections_list:
# connect to the source KVstore
source_collection_name = f"{handle_collection}_{self.source_tenant_id}"
source_collection = self.service.kvstore[source_collection_name]
# connect to the target KVstore
target_collection_name = f"{handle_collection}_{self.target_tenant_id}"
target_collection = self.service.kvstore[target_collection_name]
# get source and target collection records
source_collection_records, source_collection_keys = self.get_kv_collection(
source_collection, source_collection_name
)
target_collection_records, target_collection_keys = self.get_kv_collection(
target_collection, target_collection_name
)
#
# Replica proceed
#
final_records = []
# purged counter
purged_count = 0
# failues counter
failures_count = 0
# a list to store any exception encountered
exceptions_list = []
# purge records that wouldn't exist anymore in the source KVstore
for record in target_collection_records:
# get record key
record_key = record.get("_key")
# sync step1: if a record in target does not exist anymore in the source, purge the record
if (
record_key not in source_collection_keys
and record.get("tenant_parent") == self.source_tenant_id
):
try:
target_collection.data.delete(json.dumps({"_key": record_key}))
purged_count += 1
logging.debug(
f'record with key="{record_key}" does not exist anymore in the source collection and was purged'
)
except Exception as e:
failures_count += 1
msg = f'failure to purge target key="{record_key}", exception="{str(e)}"'
exceptions_list.append(msg)
logging.error(msg)
# sync input records from the upstream search, this allows the user to have SPL flexibility for filtering out
# the wanted content for the main collection
records_count = 0
if handle_collection == f"kv_trackme_{self.component}_tenant":
for record in records:
# increment
records_count += 1
# replace tenant_id
record["tenant_id"] = self.target_tenant_id
# add parent info
record["tenant_parent"] = self.source_tenant_id
# add _key
record["_key"] = record.get(self.key_field)
# add to final_records
final_records.append(record)
# other collections do not filter on the object however
else:
for record in source_collection_records:
# increment
records_count += 1
# replace tenant_id
record["tenant_id"] = self.target_tenant_id
# add parent info
record["tenant_parent"] = self.source_tenant_id
# add _key
record["_key"] = record.get("_key")
# add to final_records
final_records.append(record)
# batch update KVstore
failures_count, exceptions_list, run_time = self.batch_update_kvstore(
final_records, target_collection, target_collection_name
)
collection_dict = {
"source_collection": f"{handle_collection}_{self.source_tenant_id}",
"target_collection": f"{handle_collection}_{self.target_tenant_id}",
"source_tenant_id": self.source_tenant_id,
"target_tenant_id": self.target_tenant_id,
"total_records": records_count,
"purged_records": purged_count,
"failures_count": failures_count,
"exceptions": exceptions_list,
"run_time": run_time,
}
yield_record = {
"action": "failure" if failures_count > 0 else "success",
"source_collection": f"{handle_collection}_{self.source_tenant_id}",
"target_collection": f"{handle_collection}_{self.target_tenant_id}",
"data": collection_dict,
}
yield yield_record
#
# Process register_tenant_component_summary
#
try:
component_summary_results = self.register_summary()
logging.info(
f'register_tenant_component_summary successfully executed, results="{json.dumps(component_summary_results, indent=2)}"'
)
except Exception as e:
logging.info(
f"register_tenant_component_summary has failed, exception={str(e)}"
)
# perf counter for the entire call
total_run_time = round((time.time() - main_start), 3)
logging.info(
f'trackmereplicator has terminated, component="{self.component}", source_tenant_id="{self.source_tenant_id}", target_tenant_id="{self.target_tenant_id}", run_time="{total_run_time}"'
)
dispatch(TrackMeReplicatorHandler, sys.argv, sys.stdin, sys.stdout, __name__)