mirror of
https://github.com/krkn-chaos/krkn.git
synced 2026-02-14 18:10:00 +00:00
cad6b68f43
Some checks failed
Functional & Unit Tests / Functional & Unit Tests (push) Failing after 1m28s
Functional & Unit Tests / Generate Coverage Badge (push) Has been skipped
Signed-off-by: Paige Patton <prubenda@redhat.com>
661 lines
26 KiB
Python
661 lines
26 KiB
Python
#!/usr/bin/env python
|
|
import datetime
|
|
import json
|
|
import os
|
|
import sys
|
|
import yaml
|
|
import logging
|
|
import optparse
|
|
import pyfiglet
|
|
import uuid
|
|
import time
|
|
import queue
|
|
import threading
|
|
|
|
from krkn_lib.elastic.krkn_elastic import KrknElastic
|
|
from krkn_lib.models.elastic import ElasticChaosRunTelemetry
|
|
from krkn_lib.models.krkn import ChaosRunOutput, ChaosRunAlertSummary
|
|
from krkn_lib.prometheus.krkn_prometheus import KrknPrometheus
|
|
import krkn.performance_dashboards.setup as performance_dashboards
|
|
import krkn.prometheus as prometheus_plugin
|
|
import server as server
|
|
from krkn_lib.k8s import KrknKubernetes
|
|
from krkn_lib.ocp import KrknOpenshift
|
|
from krkn_lib.telemetry.k8s import KrknTelemetryKubernetes
|
|
from krkn_lib.telemetry.ocp import KrknTelemetryOpenshift
|
|
from krkn_lib.models.telemetry import ChaosRunTelemetry
|
|
from krkn_lib.utils import SafeLogger
|
|
from krkn_lib.utils.functions import get_yaml_item_value, get_junit_test_case
|
|
|
|
from krkn.utils import TeeLogHandler
|
|
from krkn.utils.HealthChecker import HealthChecker
|
|
from krkn.scenario_plugins.scenario_plugin_factory import (
|
|
ScenarioPluginFactory,
|
|
ScenarioPluginNotFound,
|
|
)
|
|
|
|
# removes TripleDES warning
|
|
import warnings
|
|
warnings.filterwarnings(action='ignore', module='.*paramiko.*')
|
|
|
|
report_file = ""
|
|
|
|
|
|
# Main function
|
|
def main(cfg) -> int:
|
|
# Start kraken
|
|
print(pyfiglet.figlet_format("kraken"))
|
|
logging.info("Starting kraken")
|
|
|
|
# Parse and read the config
|
|
if os.path.isfile(cfg):
|
|
with open(cfg, "r") as f:
|
|
config = yaml.full_load(f)
|
|
global kubeconfig_path, wait_duration, kraken_config
|
|
|
|
kubeconfig_path = os.path.expanduser(
|
|
get_yaml_item_value(config["kraken"], "kubeconfig_path", "")
|
|
)
|
|
kraken_config = cfg
|
|
chaos_scenarios = get_yaml_item_value(config["kraken"], "chaos_scenarios", [])
|
|
publish_running_status = get_yaml_item_value(
|
|
config["kraken"], "publish_kraken_status", False
|
|
)
|
|
port = get_yaml_item_value(config["kraken"], "port", 8081)
|
|
signal_address = get_yaml_item_value(
|
|
config["kraken"], "signal_address", "0.0.0.0"
|
|
)
|
|
run_signal = get_yaml_item_value(config["kraken"], "signal_state", "RUN")
|
|
wait_duration = get_yaml_item_value(config["tunings"], "wait_duration", 60)
|
|
iterations = get_yaml_item_value(config["tunings"], "iterations", 1)
|
|
daemon_mode = get_yaml_item_value(config["tunings"], "daemon_mode", False)
|
|
deploy_performance_dashboards = get_yaml_item_value(
|
|
config["performance_monitoring"], "deploy_dashboards", False
|
|
)
|
|
dashboard_repo = get_yaml_item_value(
|
|
config["performance_monitoring"],
|
|
"repo",
|
|
"https://github.com/cloud-bulldozer/performance-dashboards.git",
|
|
)
|
|
|
|
prometheus_url = config["performance_monitoring"].get("prometheus_url")
|
|
prometheus_bearer_token = config["performance_monitoring"].get(
|
|
"prometheus_bearer_token"
|
|
)
|
|
run_uuid = config["performance_monitoring"].get("uuid")
|
|
enable_alerts = get_yaml_item_value(
|
|
config["performance_monitoring"], "enable_alerts", False
|
|
)
|
|
enable_metrics = get_yaml_item_value(
|
|
config["performance_monitoring"], "enable_metrics", False
|
|
)
|
|
# elastic search
|
|
enable_elastic = get_yaml_item_value(config["elastic"], "enable_elastic", False)
|
|
|
|
elastic_url = get_yaml_item_value(config["elastic"], "elastic_url", "")
|
|
|
|
elastic_verify_certs = get_yaml_item_value(
|
|
config["elastic"], "verify_certs", False
|
|
)
|
|
|
|
elastic_port = get_yaml_item_value(config["elastic"], "elastic_port", 32766)
|
|
|
|
elastic_username = get_yaml_item_value(config["elastic"], "username", "")
|
|
elastic_password = get_yaml_item_value(config["elastic"], "password", "")
|
|
|
|
elastic_metrics_index = get_yaml_item_value(
|
|
config["elastic"], "metrics_index", "krkn-metrics"
|
|
)
|
|
|
|
elastic_alerts_index = get_yaml_item_value(
|
|
config["elastic"], "alerts_index", "krkn-alerts"
|
|
)
|
|
|
|
elastic_telemetry_index = get_yaml_item_value(
|
|
config["elastic"], "telemetry_index", "krkn-telemetry"
|
|
)
|
|
|
|
alert_profile = config["performance_monitoring"].get("alert_profile")
|
|
metrics_profile = config["performance_monitoring"].get("metrics_profile")
|
|
check_critical_alerts = get_yaml_item_value(
|
|
config["performance_monitoring"], "check_critical_alerts", False
|
|
)
|
|
telemetry_api_url = config["telemetry"].get("api_url")
|
|
health_check_config = config["health_checks"]
|
|
|
|
# Initialize clients
|
|
if not os.path.isfile(kubeconfig_path) and not os.path.isfile(
|
|
"/var/run/secrets/kubernetes.io/serviceaccount/token"
|
|
):
|
|
logging.error(
|
|
"Cannot read the kubeconfig file at %s, please check" % kubeconfig_path
|
|
)
|
|
return 1
|
|
logging.info("Initializing client to talk to the Kubernetes cluster")
|
|
|
|
# Generate uuid for the run
|
|
if run_uuid:
|
|
logging.info(
|
|
"Using the uuid defined by the user for the run: %s" % run_uuid
|
|
)
|
|
else:
|
|
run_uuid = str(uuid.uuid4())
|
|
logging.info("Generated a uuid for the run: %s" % run_uuid)
|
|
|
|
# request_id for telemetry is generated once here and used everywhere
|
|
telemetry_request_id = f"{int(time.time())}-{run_uuid}"
|
|
if config["telemetry"].get("run_tag"):
|
|
telemetry_request_id = (
|
|
f"{telemetry_request_id}-{config['telemetry']['run_tag']}"
|
|
)
|
|
telemetry_log_file = (
|
|
f'{config["telemetry"]["archive_path"]}/{telemetry_request_id}.log'
|
|
)
|
|
safe_logger = SafeLogger(filename=telemetry_log_file)
|
|
|
|
try:
|
|
kubeconfig_path
|
|
os.environ["KUBECONFIG"] = str(kubeconfig_path)
|
|
# krkn-lib-kubernetes init
|
|
kubecli = KrknKubernetes(kubeconfig_path=kubeconfig_path)
|
|
ocpcli = KrknOpenshift(kubeconfig_path=kubeconfig_path)
|
|
except:
|
|
kubecli.initialize_clients(None)
|
|
|
|
distribution = "kubernetes"
|
|
if ocpcli.is_openshift():
|
|
distribution = "openshift"
|
|
logging.info("Detected distribution %s" % (distribution))
|
|
|
|
# find node kraken might be running on
|
|
kubecli.find_kraken_node()
|
|
|
|
# Set up kraken url to track signal
|
|
if not 0 <= int(port) <= 65535:
|
|
logging.error("%s isn't a valid port number, please check" % (port))
|
|
return 1
|
|
if not signal_address:
|
|
logging.error("Please set the signal address in the config")
|
|
return 1
|
|
address = (signal_address, port)
|
|
|
|
# If publish_running_status is False this should keep us going
|
|
# in our loop below
|
|
if publish_running_status:
|
|
server_address = address[0]
|
|
port = address[1]
|
|
logging.info(
|
|
"Publishing kraken status at http://%s:%s" % (server_address, port)
|
|
)
|
|
server.start_server(address, run_signal)
|
|
|
|
# Cluster info
|
|
logging.info("Fetching cluster info")
|
|
cv = ""
|
|
if distribution == "openshift":
|
|
cv = ocpcli.get_clusterversion_string()
|
|
if not prometheus_url:
|
|
try:
|
|
connection_data = ocpcli.get_prometheus_api_connection_data()
|
|
if connection_data:
|
|
prometheus_url = connection_data.endpoint
|
|
prometheus_bearer_token = connection_data.token
|
|
else:
|
|
# If can't make a connection, set alerts to false
|
|
enable_alerts = False
|
|
check_critical_alerts = False
|
|
except Exception:
|
|
logging.error(
|
|
"invalid distribution selected, running openshift scenarios against kubernetes cluster."
|
|
"Please set 'kubernetes' in config.yaml krkn.platform and try again"
|
|
)
|
|
return 1
|
|
if cv != "":
|
|
logging.info(cv)
|
|
else:
|
|
logging.info("Cluster version CRD not detected, skipping")
|
|
|
|
# KrknTelemetry init
|
|
telemetry_k8s = KrknTelemetryKubernetes(
|
|
safe_logger, kubecli, config["telemetry"]
|
|
)
|
|
telemetry_ocp = KrknTelemetryOpenshift(
|
|
safe_logger, ocpcli, telemetry_request_id, config["telemetry"]
|
|
)
|
|
if enable_elastic:
|
|
logging.info(f"Elastic collection enabled at: {elastic_url}:{elastic_port}")
|
|
elastic_search = KrknElastic(
|
|
safe_logger,
|
|
elastic_url,
|
|
elastic_port,
|
|
elastic_verify_certs,
|
|
elastic_username,
|
|
elastic_password,
|
|
)
|
|
else:
|
|
elastic_search = None
|
|
summary = ChaosRunAlertSummary()
|
|
if enable_metrics or enable_alerts or check_critical_alerts:
|
|
prometheus = KrknPrometheus(prometheus_url, prometheus_bearer_token)
|
|
|
|
logging.info("Server URL: %s" % kubecli.get_host())
|
|
|
|
# Deploy performance dashboards
|
|
if deploy_performance_dashboards:
|
|
performance_dashboards.setup(dashboard_repo, distribution)
|
|
|
|
# Initialize the start iteration to 0
|
|
iteration = 0
|
|
|
|
# Set the number of iterations to loop to infinity if daemon mode is
|
|
# enabled or else set it to the provided iterations count in the config
|
|
if daemon_mode:
|
|
logging.info("Daemon mode enabled, kraken will cause chaos forever\n")
|
|
logging.info("Ignoring the iterations set")
|
|
iterations = float("inf")
|
|
else:
|
|
logging.info(
|
|
"Daemon mode not enabled, will run through %s iterations\n"
|
|
% str(iterations)
|
|
)
|
|
iterations = int(iterations)
|
|
|
|
failed_post_scenarios = []
|
|
|
|
# Capture the start time
|
|
start_time = int(time.time())
|
|
post_critical_alerts = 0
|
|
chaos_output = ChaosRunOutput()
|
|
chaos_telemetry = ChaosRunTelemetry()
|
|
chaos_telemetry.run_uuid = run_uuid
|
|
scenario_plugin_factory = ScenarioPluginFactory()
|
|
classes_and_types: dict[str, list[str]] = {}
|
|
for loaded in scenario_plugin_factory.loaded_plugins.keys():
|
|
if (
|
|
scenario_plugin_factory.loaded_plugins[loaded].__name__
|
|
not in classes_and_types.keys()
|
|
):
|
|
classes_and_types[
|
|
scenario_plugin_factory.loaded_plugins[loaded].__name__
|
|
] = []
|
|
classes_and_types[
|
|
scenario_plugin_factory.loaded_plugins[loaded].__name__
|
|
].append(loaded)
|
|
logging.info(
|
|
"📣 `ScenarioPluginFactory`: types from config.yaml mapped to respective classes for execution:"
|
|
)
|
|
for class_loaded in classes_and_types.keys():
|
|
if len(classes_and_types[class_loaded]) <= 1:
|
|
logging.info(
|
|
f" ✅ type: {classes_and_types[class_loaded][0]} ➡️ `{class_loaded}` "
|
|
)
|
|
else:
|
|
logging.info(
|
|
f" ✅ types: [{', '.join(classes_and_types[class_loaded])}] ➡️ `{class_loaded}` "
|
|
)
|
|
logging.info("\n")
|
|
if len(scenario_plugin_factory.failed_plugins) > 0:
|
|
logging.info("Failed to load Scenario Plugins:\n")
|
|
for failed in scenario_plugin_factory.failed_plugins:
|
|
module_name, class_name, error = failed
|
|
logging.error(f"⛔ Class: {class_name} Module: {module_name}")
|
|
logging.error(f"⚠️ {error}\n")
|
|
health_check_telemetry_queue = queue.Queue()
|
|
health_checker = HealthChecker(iterations)
|
|
health_check_worker = threading.Thread(target=health_checker.run_health_check,
|
|
args=(health_check_config, health_check_telemetry_queue))
|
|
health_check_worker.start()
|
|
|
|
# Loop to run the chaos starts here
|
|
while int(iteration) < iterations and run_signal != "STOP":
|
|
# Inject chaos scenarios specified in the config
|
|
logging.info("Executing scenarios for iteration " + str(iteration))
|
|
if chaos_scenarios:
|
|
|
|
for scenario in chaos_scenarios:
|
|
if publish_running_status:
|
|
run_signal = server.get_status(address)
|
|
if run_signal == "PAUSE":
|
|
while publish_running_status and run_signal == "PAUSE":
|
|
logging.info(
|
|
"Pausing Kraken run, waiting for %s seconds"
|
|
" and will re-poll signal" % str(wait_duration)
|
|
)
|
|
time.sleep(wait_duration)
|
|
run_signal = server.get_status(address)
|
|
if run_signal == "STOP":
|
|
logging.info("Received STOP signal; ending Kraken run")
|
|
break
|
|
scenario_type = list(scenario.keys())[0]
|
|
scenarios_list = scenario[scenario_type]
|
|
if scenarios_list:
|
|
try:
|
|
scenario_plugin = scenario_plugin_factory.create_plugin(
|
|
scenario_type
|
|
)
|
|
except ScenarioPluginNotFound:
|
|
logging.error(
|
|
f"impossible to find scenario {scenario_type}, plugin not found. Exiting"
|
|
)
|
|
sys.exit(1)
|
|
|
|
failed_post_scenarios, scenario_telemetries = (
|
|
scenario_plugin.run_scenarios(
|
|
run_uuid, scenarios_list, config, telemetry_ocp
|
|
)
|
|
)
|
|
chaos_telemetry.scenarios.extend(scenario_telemetries)
|
|
|
|
post_critical_alerts = 0
|
|
if check_critical_alerts:
|
|
prometheus_plugin.critical_alerts(
|
|
prometheus,
|
|
summary,
|
|
run_uuid,
|
|
scenario_type,
|
|
start_time,
|
|
datetime.datetime.now(),
|
|
)
|
|
|
|
chaos_output.critical_alerts = summary
|
|
post_critical_alerts = len(summary.post_chaos_alerts)
|
|
if post_critical_alerts > 0:
|
|
logging.error(
|
|
"Post chaos critical alerts firing please check, exiting"
|
|
)
|
|
break
|
|
|
|
iteration += 1
|
|
health_checker.current_iterations += 1
|
|
|
|
# telemetry
|
|
# in order to print decoded telemetry data even if telemetry collection
|
|
# is disabled, it's necessary to serialize the ChaosRunTelemetry object
|
|
# to json, and recreate a new object from it.
|
|
end_time = int(time.time())
|
|
health_check_worker.join()
|
|
try:
|
|
chaos_telemetry.health_checks = health_check_telemetry_queue.get_nowait()
|
|
except queue.Empty:
|
|
chaos_telemetry.health_checks = None
|
|
|
|
# if platform is openshift will be collected
|
|
# Cloud platform and network plugins metadata
|
|
# through OCP specific APIs
|
|
if distribution == "openshift":
|
|
logging.info(
|
|
"collecting OCP cluster metadata, this may take few minutes...."
|
|
)
|
|
telemetry_ocp.collect_cluster_metadata(chaos_telemetry)
|
|
else:
|
|
logging.info("collecting Kubernetes cluster metadata....")
|
|
telemetry_k8s.collect_cluster_metadata(chaos_telemetry)
|
|
|
|
telemetry_json = chaos_telemetry.to_json()
|
|
decoded_chaos_run_telemetry = ChaosRunTelemetry(json.loads(telemetry_json))
|
|
chaos_output.telemetry = decoded_chaos_run_telemetry
|
|
logging.info(f"Chaos data:\n{chaos_output.to_json()}")
|
|
if enable_elastic:
|
|
elastic_telemetry = ElasticChaosRunTelemetry(
|
|
chaos_run_telemetry=decoded_chaos_run_telemetry
|
|
)
|
|
result = elastic_search.push_telemetry(
|
|
elastic_telemetry, elastic_telemetry_index
|
|
)
|
|
if result == -1:
|
|
safe_logger.error(
|
|
f"failed to save telemetry on elastic search: {chaos_output.to_json()}"
|
|
)
|
|
|
|
if config["telemetry"]["enabled"]:
|
|
logging.info(
|
|
f"telemetry data will be stored on s3 bucket folder: {telemetry_api_url}/files/"
|
|
f'{(config["telemetry"]["telemetry_group"] if config["telemetry"]["telemetry_group"] else "default")}/'
|
|
f"{telemetry_request_id}"
|
|
)
|
|
logging.info(f"telemetry upload log: {safe_logger.log_file_name}")
|
|
try:
|
|
telemetry_k8s.send_telemetry(
|
|
config["telemetry"], telemetry_request_id, chaos_telemetry
|
|
)
|
|
telemetry_k8s.put_critical_alerts(
|
|
telemetry_request_id, config["telemetry"], summary
|
|
)
|
|
# prometheus data collection is available only on Openshift
|
|
if config["telemetry"]["prometheus_backup"]:
|
|
prometheus_archive_files = ""
|
|
if distribution == "openshift":
|
|
prometheus_archive_files = (
|
|
telemetry_ocp.get_ocp_prometheus_data(
|
|
config["telemetry"], telemetry_request_id
|
|
)
|
|
)
|
|
else:
|
|
if (
|
|
config["telemetry"]["prometheus_namespace"]
|
|
and config["telemetry"]["prometheus_pod_name"]
|
|
and config["telemetry"]["prometheus_container_name"]
|
|
):
|
|
try:
|
|
prometheus_archive_files = (
|
|
telemetry_k8s.get_prometheus_pod_data(
|
|
config["telemetry"],
|
|
telemetry_request_id,
|
|
config["telemetry"]["prometheus_pod_name"],
|
|
config["telemetry"][
|
|
"prometheus_container_name"
|
|
],
|
|
config["telemetry"]["prometheus_namespace"],
|
|
)
|
|
)
|
|
except Exception as e:
|
|
logging.error(
|
|
f"failed to get prometheus backup with exception {str(e)}"
|
|
)
|
|
else:
|
|
logging.warning(
|
|
"impossible to backup prometheus,"
|
|
"check if config contains telemetry.prometheus_namespace, "
|
|
"telemetry.prometheus_pod_name and "
|
|
"telemetry.prometheus_container_name"
|
|
)
|
|
if prometheus_archive_files:
|
|
safe_logger.info("starting prometheus archive upload:")
|
|
telemetry_k8s.put_prometheus_data(
|
|
config["telemetry"],
|
|
prometheus_archive_files,
|
|
telemetry_request_id,
|
|
)
|
|
|
|
except Exception as e:
|
|
logging.error(f"failed to send telemetry data: {str(e)}")
|
|
else:
|
|
logging.info("telemetry collection disabled, skipping.")
|
|
|
|
# Check for the alerts specified
|
|
if enable_alerts:
|
|
logging.info("Alerts checking is enabled")
|
|
if alert_profile:
|
|
prometheus_plugin.alerts(
|
|
prometheus,
|
|
elastic_search,
|
|
run_uuid,
|
|
start_time,
|
|
end_time,
|
|
alert_profile,
|
|
elastic_alerts_index
|
|
)
|
|
|
|
else:
|
|
logging.error("Alert profile is not defined")
|
|
return 1
|
|
# sys.exit(1)
|
|
if enable_metrics:
|
|
logging.info(f'Capturing metrics using file {metrics_profile}')
|
|
prometheus_plugin.metrics(
|
|
prometheus,
|
|
elastic_search,
|
|
run_uuid,
|
|
start_time,
|
|
end_time,
|
|
metrics_profile,
|
|
elastic_metrics_index
|
|
)
|
|
|
|
if post_critical_alerts > 0:
|
|
logging.error("Critical alerts are firing, please check; exiting")
|
|
# sys.exit(2)
|
|
return 2
|
|
|
|
if failed_post_scenarios:
|
|
logging.error(
|
|
"Post scenarios are still failing at the end of all iterations"
|
|
)
|
|
# sys.exit(2)
|
|
return 2
|
|
if health_checker.ret_value != 0:
|
|
logging.error("Health check failed for the applications, Please check; exiting")
|
|
return health_checker.ret_value
|
|
|
|
logging.info(
|
|
"Successfully finished running Kraken. UUID for the run: "
|
|
"%s. Report generated at %s. Exiting" % (run_uuid, report_file)
|
|
)
|
|
else:
|
|
logging.error("Cannot find a config at %s, please check" % (cfg))
|
|
# sys.exit(1)
|
|
return 2
|
|
|
|
return 0
|
|
|
|
|
|
if __name__ == "__main__":
|
|
# Initialize the parser to read the config
|
|
parser = optparse.OptionParser()
|
|
parser.add_option(
|
|
"-c",
|
|
"--config",
|
|
dest="cfg",
|
|
help="config location",
|
|
default="config/config.yaml",
|
|
)
|
|
parser.add_option(
|
|
"-o",
|
|
"--output",
|
|
dest="output",
|
|
help="output report location",
|
|
default="kraken.report",
|
|
)
|
|
|
|
parser.add_option(
|
|
"--junit-testcase",
|
|
dest="junit_testcase",
|
|
help="junit test case description",
|
|
default=None,
|
|
)
|
|
|
|
parser.add_option(
|
|
"--junit-testcase-path",
|
|
dest="junit_testcase_path",
|
|
help="junit test case path",
|
|
default=None,
|
|
)
|
|
|
|
parser.add_option(
|
|
"--junit-testcase-version",
|
|
dest="junit_testcase_version",
|
|
help="junit test case version",
|
|
default=None,
|
|
)
|
|
|
|
(options, args) = parser.parse_args()
|
|
report_file = options.output
|
|
tee_handler = TeeLogHandler()
|
|
handlers = [
|
|
logging.FileHandler(report_file, mode="w"),
|
|
logging.StreamHandler(),
|
|
tee_handler,
|
|
]
|
|
|
|
logging.basicConfig(
|
|
level=logging.INFO,
|
|
format="%(asctime)s [%(levelname)s] %(message)s",
|
|
handlers=handlers,
|
|
)
|
|
option_error = False
|
|
|
|
# used to check if there is any missing or wrong parameter that prevents
|
|
# the creation of the junit file
|
|
junit_error = False
|
|
junit_normalized_path = None
|
|
retval = 0
|
|
junit_start_time = time.time()
|
|
# checks if both mandatory options for junit are set
|
|
if options.junit_testcase_path and not options.junit_testcase:
|
|
logging.error(
|
|
"please set junit test case description with --junit-testcase [description] option"
|
|
)
|
|
option_error = True
|
|
junit_error = True
|
|
|
|
if options.junit_testcase and not options.junit_testcase_path:
|
|
logging.error(
|
|
"please set junit test case path with --junit-testcase-path [path] option"
|
|
)
|
|
option_error = True
|
|
junit_error = True
|
|
|
|
# normalized path
|
|
if options.junit_testcase:
|
|
junit_normalized_path = os.path.normpath(options.junit_testcase_path)
|
|
|
|
if not os.path.exists(junit_normalized_path):
|
|
logging.error(
|
|
f"{junit_normalized_path} do not exists, please select a valid path"
|
|
)
|
|
option_error = True
|
|
junit_error = True
|
|
|
|
if not os.path.isdir(junit_normalized_path):
|
|
logging.error(
|
|
f"{junit_normalized_path} is a file, please select a valid folder path"
|
|
)
|
|
option_error = True
|
|
junit_error = True
|
|
|
|
if not os.access(junit_normalized_path, os.W_OK):
|
|
logging.error(
|
|
f"{junit_normalized_path} is not writable, please select a valid path"
|
|
)
|
|
option_error = True
|
|
junit_error = True
|
|
|
|
if options.cfg is None:
|
|
logging.error("Please check if you have passed the config")
|
|
option_error = True
|
|
|
|
if option_error:
|
|
retval = 1
|
|
else:
|
|
retval = main(options.cfg)
|
|
|
|
junit_endtime = time.time()
|
|
|
|
# checks the minimum required parameters to write the junit file
|
|
if junit_normalized_path and not junit_error:
|
|
junit_testcase_xml = get_junit_test_case(
|
|
success=True if retval == 0 else False,
|
|
time=int(junit_endtime - junit_start_time),
|
|
test_suite_name="chaos-krkn",
|
|
test_case_description=options.junit_testcase,
|
|
test_stdout=tee_handler.get_output(),
|
|
test_version=options.junit_testcase_version,
|
|
)
|
|
junit_testcase_file_path = (
|
|
f"{junit_normalized_path}/junit_krkn_{int(time.time())}.xml"
|
|
)
|
|
logging.info(f"writing junit XML testcase in {junit_testcase_file_path}")
|
|
with open(junit_testcase_file_path, "w") as stream:
|
|
stream.write(junit_testcase_xml)
|
|
|
|
sys.exit(retval) |