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fix atune-adm analyse failed problem

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(cherry picked from commit 8402ae3b7f611fd9e32226a866c7c3c0702e5287)
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PshySimon 2025-04-21 09:18:45 +08:00 committed by openeuler-sync-bot
parent c9f06f282a
commit cdebc92897
2 changed files with 60 additions and 1 deletions
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54
0003-fix-atune-adm-analyse-failed-problem.patch Normal file
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@ -0,0 +1,54 @@
From 2cc1896225cec667893068a3be5d8e7d09043af5 Mon Sep 17 00:00:00 2001
From: Pshysimon <caixiaomeng2@huawei.com>
Date: Sat, 12 Apr 2025 16:44:11 +0800
Subject: [PATCH] fix atune-adm analyse failed problem
---
analysis/optimizer/app_characterization.py | 16 ++++++++--------
1 file changed, 8 insertions(+), 8 deletions(-)
diff --git a/analysis/optimizer/app_characterization.py b/analysis/optimizer/app_characterization.py
index 80b6752..738320f 100644
--- a/analysis/optimizer/app_characterization.py
+++ b/analysis/optimizer/app_characterization.py
@@ -202,16 +202,9 @@ class AppCharacterization(WorkloadCharacterization):
:param feature_selection: whether to perform feature extraction
:param consider_perf: whether to consider perf indicators
"""
- if consider_perf == None:
- consider_perf = self.consider_perf
-
- data_features = self.get_consider_perf(consider_perf)
-
cpu_exist, mem_exist, net_quality_exist, net_io_exist, disk_io_exist = self.bottleneck.search_bottleneck(data)
bottleneck_binary = (int(cpu_exist) << 4) | (int(mem_exist) << 3) | (int(net_quality_exist) << 2) | (int(net_io_exist) << 1) | int(disk_io_exist)
- data = data[data_features]
-
tencoder_path = os.path.join(self.model_path, "tencoder.pkl")
aencoder_path = os.path.join(self.model_path, "aencoder.pkl")
scaler_path = os.path.join(self.model_path, "scaler.pkl")
@@ -226,6 +219,13 @@ class AppCharacterization(WorkloadCharacterization):
type_model_clf = joblib.load(type_model_path)
app_model_clf = joblib.load(app_model_path)
+ if consider_perf is None:
+ consider_perf = (len(self.scaler.mean_) == len(data.columns))
+
+ data_features = self.get_consider_perf(consider_perf)
+
+ data = data[data_features]
+
data = self.scaler.transform(data)
if feature_selection:
@@ -290,4 +290,4 @@ class AppCharacterization(WorkloadCharacterization):
confidence = prediction[1] / len(result)
if confidence > 0.5:
return bottleneck_binary, prediction[0], confidence
- return bottleneck_binary, "default", confidence
\ No newline at end of file
+ return bottleneck_binary, "default", confidence
--
2.27.0

7
atune.spec
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@ -3,7 +3,7 @@
Summary: AI auto tuning system
Name: atune
Version: 1.2.0
Release: 4
Release: 5
License: MulanPSL-2.0
URL: https://gitee.com/openeuler/A-Tune
Source: https://gitee.com/openeuler/A-Tune/repository/archive/v%{version}.tar.gz
@ -16,6 +16,7 @@ Patch9004: import-os-for-app.py.patch
Patch9005: adapt-sqlite-3.42-to-resolve-the-build-failure.patch
Patch9006: 0001-fix-skopt.Optimizer-incompatible-with-numpy-1.24.patch
Patch9007: 0002-scikit-learn-1.2-rename-the-parameter-base_estimator.patch
Patch9008: 0003-fix-atune-adm-analyse-failed-problem.patch
BuildRequires: rpm-build golang-bin procps-ng
BuildRequires: sqlite >= 3.24.0 openssl
@ -94,6 +95,7 @@ atune restful api for manage atuned AI tuning system.
%patch9005 -p1
%patch9006 -p1
%patch9007 -p1
%patch9008 -p1
%build
%make_build
@ -194,6 +196,9 @@ atune restful api for manage atuned AI tuning system.
%exclude /etc/atuned/rest_certs
%changelog
* Mon Apr 21 2025 caixiaomeng <caixiaomeng2@huawei.com> - 1.2.0-5
- fix atune-adm analyse failed problem
* Thu Mar 20 2025 dongjiao <dongjiao@kylinos.cn> - 1.2.0-4
- fix bug cause scikit-learn-1.2 rename the parameter 'base_estimator' to 'estimator'.