def add_metrics(resource_id, request_params, dataset, proto_version):
current_time = datetime.utcnow().replace(second=0, microsecond=0)
try:
resource = ApplicationService.by_id_cached()(resource_id)
resource = DBSession.merge(resource, load=False)
es_docs = []
rows = []
for metric in dataset:
tags = dict(metric["tags"])
server_n = tags.get("server_name", metric["server_name"]).lower()
tags["server_name"] = server_n or "unknown"
new_metric = Metric(
timestamp=metric["timestamp"],
resource_id=resource.resource_id,
namespace=metric["namespace"],
tags=tags,
)
rows.append(new_metric)
es_docs.append(new_metric.es_doc())
session = DBSession()
session.bulk_save_objects(rows)
session.flush()
action = "METRICS"
metrics_msg = "%s: %s, metrics: %s, proto:%s" % (
action,
str(resource),
len(dataset),
proto_version,
)
log.info(metrics_msg)
mark_changed(session)
redis_pipeline = Datastores.redis.pipeline(transaction=False)
key = REDIS_KEYS["counters"]["metrics_per_minute"].format(current_time)
redis_pipeline.incr(key, len(rows))
redis_pipeline.expire(key, 3600 * 24)
key = REDIS_KEYS["counters"]["events_per_minute_per_user"].format(
resource.owner_user_id, current_time)
redis_pipeline.incr(key, len(rows))
redis_pipeline.expire(key, 3600)
key = REDIS_KEYS["counters"]["metrics_per_hour_per_app"].format(
resource_id, current_time.replace(minute=0))
redis_pipeline.incr(key, len(rows))
redis_pipeline.expire(key, 3600 * 24 * 7)
redis_pipeline.sadd(
REDIS_KEYS["apps_that_got_new_data_per_hour"].format(
current_time.replace(minute=0)),
resource_id,
)
redis_pipeline.execute()
add_metrics_es(es_docs)
return True
except Exception as exc:
print_traceback(log)
if celery.conf["CELERY_EAGER_PROPAGATES_EXCEPTIONS"]:
raise
add_metrics.retry(exc=exc)
def check_user_report_notifications(resource_id):
since_when = datetime.utcnow()
try:
request = get_current_request()
application = ApplicationService.by_id(resource_id)
if not application:
return
error_key = REDIS_KEYS["reports_to_notify_per_type_per_app"].format(
ReportType.error, resource_id)
slow_key = REDIS_KEYS["reports_to_notify_per_type_per_app"].format(
ReportType.slow, resource_id)
error_group_ids = Datastores.redis.smembers(error_key)
slow_group_ids = Datastores.redis.smembers(slow_key)
Datastores.redis.delete(error_key)
Datastores.redis.delete(slow_key)
err_gids = [int(g_id) for g_id in error_group_ids]
slow_gids = [int(g_id) for g_id in list(slow_group_ids)]
group_ids = err_gids + slow_gids
occurence_dict = {}
for g_id in group_ids:
key = REDIS_KEYS["counters"]["report_group_occurences"].format(
g_id)
val = Datastores.redis.get(key)
Datastores.redis.delete(key)
if val:
occurence_dict[g_id] = int(val)
else:
occurence_dict[g_id] = 1
report_groups = ReportGroupService.by_ids(group_ids)
report_groups.options(sa.orm.joinedload(ReportGroup.last_report_ref))
ApplicationService.check_for_groups_alert(
application,
"alert",
report_groups=report_groups,
occurence_dict=occurence_dict,
)
users = set([
p.user
for p in ResourceService.users_for_perm(application, "view")
])
report_groups = report_groups.all()
for user in users:
UserService.report_notify(
user,
request,
application,
report_groups=report_groups,
occurence_dict=occurence_dict,
)
for group in report_groups:
# marks report_groups as notified
if not group.notified:
group.notified = True
except Exception as exc:
print_traceback(log)
raise
def add_metrics(resource_id, request_params, dataset, proto_version):
current_time = datetime.utcnow().replace(second=0, microsecond=0)
try:
resource = ApplicationService.by_id_cached()(resource_id)
resource = DBSession.merge(resource, load=False)
es_docs = []
rows = []
for metric in dataset:
tags = dict(metric['tags'])
server_n = tags.get('server_name', metric['server_name']).lower()
tags['server_name'] = server_n or 'unknown'
new_metric = Metric(timestamp=metric['timestamp'],
resource_id=resource.resource_id,
namespace=metric['namespace'],
tags=tags)
rows.append(new_metric)
es_docs.append(new_metric.es_doc())
session = DBSession()
session.bulk_save_objects(rows)
session.flush()
action = 'METRICS'
metrics_msg = '%s: %s, metrics: %s, proto:%s' % (
action, str(resource), len(dataset), proto_version)
log.info(metrics_msg)
mark_changed(session)
redis_pipeline = Datastores.redis.pipeline(transaction=False)
key = REDIS_KEYS['counters']['metrics_per_minute'].format(current_time)
redis_pipeline.incr(key, len(rows))
redis_pipeline.expire(key, 3600 * 24)
key = REDIS_KEYS['counters']['events_per_minute_per_user'].format(
resource.owner_user_id, current_time)
redis_pipeline.incr(key, len(rows))
redis_pipeline.expire(key, 3600)
key = REDIS_KEYS['counters']['metrics_per_hour_per_app'].format(
resource_id, current_time.replace(minute=0))
redis_pipeline.incr(key, len(rows))
redis_pipeline.expire(key, 3600 * 24 * 7)
redis_pipeline.sadd(
REDIS_KEYS['apps_that_got_new_data_per_hour'].format(
current_time.replace(minute=0)), resource_id)
redis_pipeline.execute()
add_metrics_es(es_docs)
return True
except Exception as exc:
print_traceback(log)
add_metrics.retry(exc=exc)
def add_uptime_stats(params, metric):
proto_version = parse_proto(params.get("protocol_version"))
try:
application = ApplicationService.by_id_cached()(metric["resource_id"])
application = DBSession.merge(application, load=False)
if not application:
return
start_interval = convert_date(metric["timestamp"])
start_interval = start_interval.replace(second=0, microsecond=0)
new_metric = UptimeMetric(
start_interval=start_interval,
response_time=metric["response_time"],
status_code=metric["status_code"],
is_ok=metric["is_ok"],
location=metric.get("location", 1),
tries=metric["tries"],
resource_id=application.resource_id,
owner_user_id=application.owner_user_id,
)
DBSession.add(new_metric)
DBSession.flush()
add_metrics_uptime([new_metric.es_doc()])
if metric["is_ok"]:
event_types = [Event.types["uptime_alert"]]
statuses = [Event.statuses["active"]]
# get events older than 5 min
events = EventService.by_type_and_status(
event_types,
statuses,
older_than=(datetime.utcnow() - timedelta(minutes=6)),
app_ids=[application.resource_id],
)
for event in events:
event.close()
else:
UptimeMetricService.check_for_alert(application, metric=metric)
action = "METRICS UPTIME"
metrics_msg = "%s: %s, proto:%s" % (action, str(application),
proto_version)
log.info(metrics_msg)
session = DBSession()
mark_changed(session)
return True
except Exception as exc:
print_traceback(log)
add_uptime_stats.retry(exc=exc)
def update_tag_counter(tag_name, tag_value, count):
try:
query = DBSession.query(Tag).filter(Tag.name == tag_name).filter(
sa.cast(Tag.value, sa.types.TEXT) == sa.cast(
json.dumps(tag_value), sa.types.TEXT))
query.update(
{
'times_seen': Tag.times_seen + count,
'last_timestamp': datetime.utcnow()
},
synchronize_session=False)
session = DBSession()
mark_changed(session)
return True
except Exception as exc:
print_traceback(log)
update_tag_counter.retry(exc=exc)
def check_alerts(resource_id):
since_when = datetime.utcnow()
try:
request = get_current_request()
application = ApplicationService.by_id(resource_id)
if not application:
return
error_key = REDIS_KEYS[
"reports_to_notify_per_type_per_app_alerting"].format(
ReportType.error, resource_id)
slow_key = REDIS_KEYS[
"reports_to_notify_per_type_per_app_alerting"].format(
ReportType.slow, resource_id)
error_group_ids = Datastores.redis.smembers(error_key)
slow_group_ids = Datastores.redis.smembers(slow_key)
Datastores.redis.delete(error_key)
Datastores.redis.delete(slow_key)
err_gids = [int(g_id) for g_id in error_group_ids]
slow_gids = [int(g_id) for g_id in list(slow_group_ids)]
group_ids = err_gids + slow_gids
occurence_dict = {}
for g_id in group_ids:
key = REDIS_KEYS["counters"][
"report_group_occurences_alerting"].format(g_id)
val = Datastores.redis.get(key)
Datastores.redis.delete(key)
if val:
occurence_dict[g_id] = int(val)
else:
occurence_dict[g_id] = 1
report_groups = ReportGroupService.by_ids(group_ids)
report_groups.options(sa.orm.joinedload(ReportGroup.last_report_ref))
ApplicationService.check_for_groups_alert(
application,
"alert",
report_groups=report_groups,
occurence_dict=occurence_dict,
since_when=since_when,
)
except Exception as exc:
print_traceback(log)
raise
def update_tag_counter(tag_name, tag_value, count):
try:
query = (DBSession.query(Tag).filter(Tag.name == tag_name).filter(
sa.cast(Tag.value, sa.types.TEXT) == sa.cast(
json.dumps(tag_value), sa.types.TEXT)))
query.update(
{
"times_seen": Tag.times_seen + count,
"last_timestamp": datetime.utcnow()
},
synchronize_session=False,
)
session = DBSession()
mark_changed(session)
return True
except Exception as exc:
print_traceback(log)
if celery.conf["CELERY_EAGER_PROPAGATES_EXCEPTIONS"]:
raise
update_tag_counter.retry(exc=exc)
def close_alerts():
log.warning("Checking alerts")
since_when = datetime.utcnow()
try:
event_types = [
Event.types["error_report_alert"],
Event.types["slow_report_alert"],
]
statuses = [Event.statuses["active"]]
# get events older than 5 min
events = EventService.by_type_and_status(
event_types,
statuses,
older_than=(since_when - timedelta(minutes=5)))
for event in events:
# see if we can close them
event.validate_or_close(since_when=(since_when -
timedelta(minutes=1)))
except Exception as exc:
print_traceback(log)
raise
def add_reports(resource_id, request_params, dataset, **kwargs):
proto_version = parse_proto(request_params.get("protocol_version", ""))
current_time = datetime.utcnow().replace(second=0, microsecond=0)
try:
# we will store solr docs here for single insert
es_report_docs = {}
es_report_group_docs = {}
resource = ApplicationService.by_id(resource_id)
tags = []
es_slow_calls_docs = {}
es_reports_stats_rows = {}
for report_data in dataset:
# build report details for later
added_details = 0
report = Report()
report.set_data(report_data, resource, proto_version)
report._skip_ft_index = True
# find latest group in this months partition
report_group = ReportGroupService.by_hash_and_resource(
report.resource_id,
report.grouping_hash,
since_when=datetime.utcnow().date().replace(day=1),
)
occurences = report_data.get("occurences", 1)
if not report_group:
# total reports will be +1 moment later
report_group = ReportGroup(
grouping_hash=report.grouping_hash,
occurences=0,
total_reports=0,
last_report=0,
priority=report.priority,
error=report.error,
first_timestamp=report.start_time,
)
report_group._skip_ft_index = True
report_group.report_type = report.report_type
report.report_group_time = report_group.first_timestamp
add_sample = pick_sample(report_group.occurences,
report_type=report_group.report_type)
if add_sample:
resource.report_groups.append(report_group)
report_group.reports.append(report)
added_details += 1
DBSession.flush()
if report.partition_id not in es_report_docs:
es_report_docs[report.partition_id] = []
es_report_docs[report.partition_id].append(report.es_doc())
tags.extend(list(report.tags.items()))
slow_calls = report.add_slow_calls(report_data, report_group)
DBSession.flush()
for s_call in slow_calls:
if s_call.partition_id not in es_slow_calls_docs:
es_slow_calls_docs[s_call.partition_id] = []
es_slow_calls_docs[s_call.partition_id].append(
s_call.es_doc())
# try generating new stat rows if needed
else:
# required for postprocessing to not fail later
report.report_group = report_group
stat_row = ReportService.generate_stat_rows(
report, resource, report_group)
if stat_row.partition_id not in es_reports_stats_rows:
es_reports_stats_rows[stat_row.partition_id] = []
es_reports_stats_rows[stat_row.partition_id].append(
stat_row.es_doc())
# see if we should mark 10th occurence of report
last_occurences_10 = int(math.floor(report_group.occurences / 10))
curr_occurences_10 = int(
math.floor((report_group.occurences + report.occurences) / 10))
last_occurences_100 = int(math.floor(report_group.occurences /
100))
curr_occurences_100 = int(
math.floor(
(report_group.occurences + report.occurences) / 100))
notify_occurences_10 = last_occurences_10 != curr_occurences_10
notify_occurences_100 = last_occurences_100 != curr_occurences_100
report_group.occurences = ReportGroup.occurences + occurences
report_group.last_timestamp = report.start_time
report_group.summed_duration = ReportGroup.summed_duration + report.duration
summed_duration = ReportGroup.summed_duration + report.duration
summed_occurences = ReportGroup.occurences + occurences
report_group.average_duration = summed_duration / summed_occurences
report_group.run_postprocessing(report)
if added_details:
report_group.total_reports = ReportGroup.total_reports + 1
report_group.last_report = report.id
report_group.set_notification_info(
notify_10=notify_occurences_10,
notify_100=notify_occurences_100)
DBSession.flush()
report_group.get_report().notify_channel(report_group)
if report_group.partition_id not in es_report_group_docs:
es_report_group_docs[report_group.partition_id] = []
es_report_group_docs[report_group.partition_id].append(
report_group.es_doc())
action = "REPORT"
log_msg = "%s: %s %s, client: %s, proto: %s" % (
action,
report_data.get("http_status", "unknown"),
str(resource),
report_data.get("client"),
proto_version,
)
log.info(log_msg)
total_reports = len(dataset)
redis_pipeline = Datastores.redis.pipeline(transaction=False)
key = REDIS_KEYS["counters"]["reports_per_minute"].format(current_time)
redis_pipeline.incr(key, total_reports)
redis_pipeline.expire(key, 3600 * 24)
key = REDIS_KEYS["counters"]["events_per_minute_per_user"].format(
resource.owner_user_id, current_time)
redis_pipeline.incr(key, total_reports)
redis_pipeline.expire(key, 3600)
key = REDIS_KEYS["counters"]["reports_per_hour_per_app"].format(
resource_id, current_time.replace(minute=0))
redis_pipeline.incr(key, total_reports)
redis_pipeline.expire(key, 3600 * 24 * 7)
redis_pipeline.sadd(
REDIS_KEYS["apps_that_got_new_data_per_hour"].format(
current_time.replace(minute=0)),
resource_id,
)
redis_pipeline.execute()
add_reports_es(es_report_group_docs, es_report_docs)
add_reports_slow_calls_es(es_slow_calls_docs)
add_reports_stats_rows_es(es_reports_stats_rows)
return True
except Exception as exc:
print_traceback(log)
if celery.conf["CELERY_EAGER_PROPAGATES_EXCEPTIONS"]:
raise
add_reports.retry(exc=exc)
def add_logs(resource_id, request_params, dataset, **kwargs):
proto_version = request_params.get("protocol_version")
current_time = datetime.utcnow().replace(second=0, microsecond=0)
try:
es_docs = collections.defaultdict(list)
resource = ApplicationService.by_id_cached()(resource_id)
resource = DBSession.merge(resource, load=False)
ns_pairs = []
for entry in dataset:
# gather pk and ns so we can remove older versions of row later
if entry["primary_key"] is not None:
ns_pairs.append({
"pk": entry["primary_key"],
"ns": entry["namespace"]
})
log_entry = Log()
log_entry.set_data(entry, resource=resource)
log_entry._skip_ft_index = True
resource.logs.append(log_entry)
DBSession.flush()
# insert non pk rows first
if entry["primary_key"] is None:
es_docs[log_entry.partition_id].append(log_entry.es_doc())
# 2nd pass to delete all log entries from db for same pk/ns pair
if ns_pairs:
ids_to_delete = []
es_docs = collections.defaultdict(list)
es_docs_to_delete = collections.defaultdict(list)
found_pkey_logs = LogService.query_by_primary_key_and_namespace(
list_of_pairs=ns_pairs)
log_dict = {}
for log_entry in found_pkey_logs:
log_key = (log_entry.primary_key, log_entry.namespace)
if log_key not in log_dict:
log_dict[log_key] = []
log_dict[log_key].append(log_entry)
for ns, entry_list in log_dict.items():
entry_list = sorted(entry_list, key=lambda x: x.timestamp)
# newest row needs to be indexed in es
log_entry = entry_list[-1]
# delete everything from pg and ES, leave the last row in pg
for e in entry_list[:-1]:
ids_to_delete.append(e.log_id)
es_docs_to_delete[e.partition_id].append(e.delete_hash)
es_docs_to_delete[log_entry.partition_id].append(
log_entry.delete_hash)
es_docs[log_entry.partition_id].append(log_entry.es_doc())
if ids_to_delete:
query = DBSession.query(Log).filter(
Log.log_id.in_(ids_to_delete))
query.delete(synchronize_session=False)
if es_docs_to_delete:
# batch this to avoid problems with default ES bulk limits
for es_index in es_docs_to_delete.keys():
for batch in in_batches(es_docs_to_delete[es_index], 20):
query = {"query": {"terms": {"delete_hash": batch}}}
try:
Datastores.es.delete_by_query(
index=es_index,
doc_type="log",
body=query,
conflicts="proceed",
)
except elasticsearch.exceptions.NotFoundError as exc:
msg = "skipping index {}".format(es_index)
log.info(msg)
total_logs = len(dataset)
log_msg = "LOG_NEW: %s, entries: %s, proto:%s" % (
str(resource),
total_logs,
proto_version,
)
log.info(log_msg)
# mark_changed(session)
redis_pipeline = Datastores.redis.pipeline(transaction=False)
key = REDIS_KEYS["counters"]["logs_per_minute"].format(current_time)
redis_pipeline.incr(key, total_logs)
redis_pipeline.expire(key, 3600 * 24)
key = REDIS_KEYS["counters"]["events_per_minute_per_user"].format(
resource.owner_user_id, current_time)
redis_pipeline.incr(key, total_logs)
redis_pipeline.expire(key, 3600)
key = REDIS_KEYS["counters"]["logs_per_hour_per_app"].format(
resource_id, current_time.replace(minute=0))
redis_pipeline.incr(key, total_logs)
redis_pipeline.expire(key, 3600 * 24 * 7)
redis_pipeline.sadd(
REDIS_KEYS["apps_that_got_new_data_per_hour"].format(
current_time.replace(minute=0)),
resource_id,
)
redis_pipeline.execute()
add_logs_es(es_docs)
return True
except Exception as exc:
print_traceback(log)
if celery.conf["CELERY_EAGER_PROPAGATES_EXCEPTIONS"]:
raise
add_logs.retry(exc=exc)
