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!30 sync code from 22.03-lts-sp1

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From: @Vchanger 
Reviewed-by: @dowzyx 
Signed-off-by: @dowzyx
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openeuler-ci-bot 2023-01-12 01:10:37 +00:00 committed by Gitee
commit fc00b3a347
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5 changed files with 208 additions and 5 deletions
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88
0001-optimize-cause-location-with-time-delay.patch Normal file
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@ -0,0 +1,88 @@
From be8f48eed633d99aaf9eadd25d7562391d0807b9 Mon Sep 17 00:00:00 2001
From: algorithmofdish <hexiujun1@huawei.com>
Date: Wed, 14 Dec 2022 15:30:06 +0800
Subject: [PATCH] perf(infer): optimize cause location with time delay
---
cause_inference/abnormal_event.py | 8 ++++++++
cause_inference/cause_infer.py | 11 ++++++++---
2 files changed, 16 insertions(+), 3 deletions(-)
diff --git a/cause_inference/abnormal_event.py b/cause_inference/abnormal_event.py
index f55c3d0..599d72d 100644
--- a/cause_inference/abnormal_event.py
+++ b/cause_inference/abnormal_event.py
@@ -2,6 +2,7 @@ import json
from enum import Enum
from queue import Queue, Empty
from typing import List
+import time
from kafka import KafkaConsumer
@@ -37,6 +38,7 @@ class AbnEvtMgt:
except Empty as ex:
raise NoKpiEventException from ex
+ self.wait_future_evts(abn_kpi.timestamp)
self.consume_kpi_evts_with_deadline(abn_kpi.timestamp)
self.consume_metric_evts_with_deadline(abn_kpi.timestamp)
self.clear_aging_evts(abn_kpi.timestamp)
@@ -145,6 +147,12 @@ class AbnEvtMgt:
def is_future(self, evt_ts, cur_ts):
return evt_ts > cur_ts + self.future_duration
+ def wait_future_evts(self, evt_ts):
+ cur_ts = int(time.time()) * 1000
+ if evt_ts <= cur_ts < evt_ts + self.future_duration:
+ wait_sec = (evt_ts + self.future_duration - cur_ts) // 1000
+ time.sleep(wait_sec)
+
def preprocess_abn_score(score):
return max(0, score)
diff --git a/cause_inference/cause_infer.py b/cause_inference/cause_infer.py
index 82a83e1..b22768f 100644
--- a/cause_inference/cause_infer.py
+++ b/cause_inference/cause_infer.py
@@ -58,10 +58,14 @@ class CauseLocator:
@staticmethod
def filter_causes(causes: List[Cause]) -> List[Cause]:
res = []
+ dup = set()
for cause in causes:
filtered_cause = CauseLocator.clear_virtual_cause(cause)
if filtered_cause is not None:
- res.append(filtered_cause)
+ key = (filtered_cause.metric_id, filtered_cause.entity_id)
+ if key not in dup:
+ dup.add(key)
+ res.append(filtered_cause)
return res
def construct_causal_graph(self, entity_causal_relations: List[tuple], abn_metrics: List[AbnormalEvent],
@@ -106,10 +110,11 @@ class CauseLocator:
self.topo_ts = self.topo_db_mgt.query_recent_topo_ts(self.abn_kpi.timestamp // 1000)
def calc_corr_score(self, causal_graph: CausalGraph):
+ end_ts = self.abn_kpi.timestamp // 1000 + infer_config.infer_conf.get('evt_future_duration')
if not self.abn_kpi.hist_data:
hist_data = self.metric_db_mgt.query_metric_hist_data(self.abn_kpi.abnormal_metric_id,
self.abn_kpi.metric_labels,
- self.topo_ts)
+ end_ts)
self.abn_kpi.set_hist_data(hist_data)
for node_id, node_attrs in causal_graph.entity_cause_graph.nodes.items():
@@ -120,7 +125,7 @@ class CauseLocator:
abn_metrics = causal_graph.get_abnormal_metrics(node_id)
for metric_id, metric_attrs in abn_metrics.items():
- metric_hist_data = self.metric_db_mgt.query_metric_hist_data(metric_id, metric_labels, self.topo_ts)
+ metric_hist_data = self.metric_db_mgt.query_metric_hist_data(metric_id, metric_labels, end_ts)
data_trend = trend(metric_hist_data)
metric_attrs.setdefault('real_trend', data_trend)
--
2.21.0.windows.1

82
0002-optimize-infer-rule-config.patch Normal file
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@ -0,0 +1,82 @@
From aeec448c24f3d724a8b79a9732091d8a833cedc5 Mon Sep 17 00:00:00 2001
From: algorithmofdish <hexiujun1@huawei.com>
Date: Fri, 16 Dec 2022 17:04:51 +0800
Subject: [PATCH] refactor(infer): optimize infer rule config
---
README.md | 2 +-
cause_inference/causal_graph.py | 7 +++++++
cause_inference/output.py | 2 +-
config/infer-rule.yaml | 5 +----
4 files changed, 10 insertions(+), 6 deletions(-)
diff --git a/README.md b/README.md
index 91d8afe..422ae86 100644
--- a/README.md
+++ b/README.md
@@ -198,7 +198,7 @@ gala-spider 项目提供了两个功能模块，它们分别是：
- prometheus_server ：指定 Prometheus 服务器地址
- arangodb_server ：指定 arangodb 服务器地址
- kafka_server ：指定 kafka 服务器地址
- - log_level ：指定 gala-spider 日志打印级别
+ - log_level ：指定 gala-inference 日志打印级别
此外，如果需要从宿主机的配置文件中启动容器，可通过挂载卷的方式执行：
diff --git a/cause_inference/causal_graph.py b/cause_inference/causal_graph.py
index f429bd6..10ad3ba 100644
--- a/cause_inference/causal_graph.py
+++ b/cause_inference/causal_graph.py
@@ -67,6 +67,13 @@ class CausalGraph:
else:
abn_metrics[abn_metric.abnormal_metric_id] = abn_metric.to_dict()
+ metric_labels = abn_metrics[abn_metric.abnormal_metric_id].get('metric_labels')
+ if not metric_labels:
+ metric_labels = dict(node_attrs.get('raw_data', {}))
+ if 'metrics' in metric_labels:
+ metric_labels.pop('metrics')
+ abn_metrics[abn_metric.abnormal_metric_id].update({'metric_labels': metric_labels})
+
def get_abnormal_metrics(self, node_id) -> dict:
return self.entity_cause_graph.nodes[node_id].get('abnormal_metrics', {})
diff --git a/cause_inference/output.py b/cause_inference/output.py
index 983b10c..51b9a54 100644
--- a/cause_inference/output.py
+++ b/cause_inference/output.py
@@ -39,7 +39,7 @@ def format_cause_metrics(causes: List[Cause]):
'metric_labels': node_attrs.get('metric_labels', {}),
'timestamp': node_attrs.get('timestamp'),
'desc': node_attrs.get('desc'),
- 'score': node_attrs.get('corr_score', 0.0),
+ 'score': cause.cause_score,
'keyword': cause_keyword_mgt.get_keyword_of_entity(node_attrs.get('entity_type')),
}
path = []
diff --git a/config/infer-rule.yaml b/config/infer-rule.yaml
index e88db7b..d5d1b51 100644
--- a/config/infer-rule.yaml
+++ b/config/infer-rule.yaml
@@ -10,10 +10,6 @@ metric_categories:
metrics:
- gala_gopher_proc_read_bytes
- gala_gopher_proc_write_bytes
- - gala_gopher_proc_less_4k_io_read
- - gala_gopher_proc_less_4k_io_write
- - gala_gopher_proc_greater_4k_io_read
- - gala_gopher_proc_greater_4k_io_write
trend: rise
-
category: PROC_IO_DELAY
@@ -49,6 +45,7 @@ metric_categories:
- gala_gopher_block_latency_req_last
- gala_gopher_block_latency_req_sum
- gala_gopher_block_latency_req_jitter
+ - gala_gopher_block_count_latency_req
nic:
-
category: NIC_DROP
--
2.21.0.windows.1

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43
gala-spider.spec
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@ -1,8 +1,8 @@
%define debug_package %{nil}
Name: gala-spider
Version: 1.0.0
Release: 2
Version: 1.0.1
Release: 3
Summary: OS topological graph storage service and cause inference service for gala-ops project
License: MulanPSL2
URL: https://gitee.com/openeuler/gala-spider
@ -11,10 +11,19 @@ Source0: %{name}-%{version}.tar.gz
BuildRequires: python3-setuptools systemd
Requires: python3-%{name} = %{version}-%{release}
patch0: 0001-optimize-cause-location-with-time-delay.patch
patch1: 0002-optimize-infer-rule-config.patch
%description
OS topological graph storage service for gala-ops project
%package -n gala-ops
Summary: gala-anteater/spider/inference installation package
Requires: gala-anteater gala-inference gala-spider
%description -n gala-ops
This package requires gala-anteater/spider/inference, allowing users to install them all at once
%package -n python3-%{name}
Summary: Python3 package of gala-spider
@ -41,7 +50,7 @@ Python3 package of gala-inference
%prep
%autosetup
%autosetup -p1
%build
@ -64,7 +73,7 @@ fi
%systemd_preun gala-spider.service
%postun
%systemd_postun gala-spider.service
%systemd_postun_with_restart gala-spider.service
%pre -n gala-inference
@ -79,7 +88,7 @@ fi
%systemd_preun gala-inference.service
%postun -n gala-inference
%systemd_postun gala-inference.service
%systemd_postun_with_restart gala-inference.service
%files
@ -91,6 +100,8 @@ fi
%{_bindir}/spider-storage
%{_unitdir}/gala-spider.service
%files -n gala-ops
%defattr(-,root,root)
%files -n python3-%{name}
%{python3_sitelib}/spider/*
@ -103,6 +114,7 @@ fi
%config(noreplace) %{_sysconfdir}/gala-inference/gala-inference.yaml
%config(noreplace) %{_sysconfdir}/gala-inference/ext-observe-meta.yaml
%config(noreplace) %{_sysconfdir}/gala-inference/infer-rule.yaml
%config(noreplace) %{_sysconfdir}/gala-inference/cause-keyword.yaml
%{_bindir}/gala-inference
%{_unitdir}/gala-inference.service
@ -113,6 +125,27 @@ fi
%changelog
* Wed Dec 21 2022 algorithmofdish <hexiujun1@huawei.com> - 1.0.1-3
- Optimize infer rule config
* Thu Dec 15 2022 algorithmofdish <hexiujun1@huawei.com> - 1.0.1-2
- Optimize cause location with time delay
* Wed Dec 14 2022 algorithmofdish <hexiujun1@huawei.com> - 1.0.1-1
- Update to 1.0.1: support cross host cause location
* Sat Dec 10 2022 algorithmofdish <hexiujun1@huawei.com> - 1.0.0-6
- Adaptation for abnormal event output change
* Tue Dec 6 2022 Zhen Chen <chenzhen126@huawei.com> - 1.0.0-5
- Provide gala-ops package to install anteater/spider/inference at once
* Mon Dec 5 2022 tangxin xie <xietangxin@huawei.com> - 1.0.0-4
- add restart service when update software
* Tue Nov 22 2022 algorithmofdish <hexiujun1@huawei.com> - 1.0.0-3
- Cause inference optimization
* Mon Nov 14 2022 Zhen Chen <chenzhen126@huawei.com> - 1.0.0-2
- Update 1.0.0 tarball