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|
%global _empty_manifest_terminate_build 0
Name: python-Nosparser
Version: 0.11
Release: 1
Summary: Persistent & streaming log template miner
License: MIT
URL: https://pypi.org/project/Nosparser/
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/cb/2e/4eaf20c8ff7b90936e7b58b65c39a7f68c4a2b9f2e34b84ee08e0ff8a47b/Nosparser-0.11.tar.gz
BuildArch: noarch
Requires: python3-jsonpickle
Requires: python3-cachetools
%description
# Drain3
## Introduction
Drain3 is an online log template miner that can extract templates (clusters) from a stream of log messages in a timely
manner. It employs a parse tree with fixed depth to guide the log group search process, which effectively avoids
constructing a very deep and unbalanced tree.
Drain3 continuously learns on-the-fly and automatically extracts "log templates" from raw log entries.
#### Example:
For the input:
```
connected to 10.0.0.1
connected to 10.0.0.2
connected to 10.0.0.3
Hex number 0xDEADBEAF
Hex number 0x10000
user davidoh logged in
user eranr logged in
```
Drain3 extracts the following templates:
```
ID=1 : size=3 : connected to <:IP:>
ID=2 : size=2 : Hex number <:HEX:>
ID=3 : size=2 : user <:*:> logged in
```
Full sample program output:
```
Starting Drain3 template miner
Checking for saved state
Saved state not found
Drain3 started with 'FILE' persistence
reading from std-in (input 'q' to finish)
> connected to 10.0.0.1
Saving state of 1 clusters with 1 messages, 964 bytes, reason: cluster_created (1)
{"change_type": "cluster_created", "cluster_id": 1, "cluster_size": 1, "template_mined": "connected to <:IP:>", "cluster_count": 1}
parameters: ['10.0.0.1']
> connected to 10.0.0.2
{"change_type": "none", "cluster_id": 1, "cluster_size": 2, "template_mined": "connected to <:IP:>", "cluster_count": 1}
parameters: ['10.0.0.2']
> connected to 10.0.0.3
{"change_type": "none", "cluster_id": 1, "cluster_size": 3, "template_mined": "connected to <:IP:>", "cluster_count": 1}
parameters: ['10.0.0.3']
> Hex number 0xDEADBEAF
Saving state of 2 clusters with 4 messages, 1120 bytes, reason: cluster_created (2)
{"change_type": "cluster_created", "cluster_id": 2, "cluster_size": 1, "template_mined": "Hex number <:HEX:>", "cluster_count": 2}
parameters: ['0xDEADBEAF']
> Hex number 0x10000
{"change_type": "none", "cluster_id": 2, "cluster_size": 2, "template_mined": "Hex number <:HEX:>", "cluster_count": 2}
parameters: ['0x10000']
> user davidoh logged in
Saving state of 3 clusters with 6 messages, 1164 bytes, reason: cluster_created (3)
{"change_type": "cluster_created", "cluster_id": 3, "cluster_size": 1, "template_mined": "user davidoh logged in", "cluster_count": 3}
parameters: []
> user eranr logged in
Saving state of 3 clusters with 7 messages, 1168 bytes, reason: cluster_template_changed (3)
{"change_type": "cluster_template_changed", "cluster_id": 3, "cluster_size": 2, "template_mined": "user <:*:> logged in", "cluster_count": 3}
parameters: ['eranr']
q
Clusters:
ID=1 : size=3 : connected to <:IP:>
ID=2 : size=2 : Hex number <:HEX:>
ID=3 : size=2 : user <:*:> logged in
```
This project is an upgrade of the original [Drain](https://github.com/logpai/logparser/blob/master/logparser/Drain)
project by LogPAI from Python 2.7 to Python 3.6 or later with some bug-fixes and additional features.
Read more information about Drain from the following paper:
- Pinjia He, Jieming Zhu, Zibin Zheng, and Michael R.
Lyu. [Drain: An Online Log Parsing Approach with Fixed Depth Tree](https://pinjiahe.github.io/papers/ICWS17.pdf),
Proceedings of the 24th International Conference on Web Services (ICWS), 2017.
%package -n python3-Nosparser
Summary: Persistent & streaming log template miner
Provides: python-Nosparser
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-Nosparser
# Drain3
## Introduction
Drain3 is an online log template miner that can extract templates (clusters) from a stream of log messages in a timely
manner. It employs a parse tree with fixed depth to guide the log group search process, which effectively avoids
constructing a very deep and unbalanced tree.
Drain3 continuously learns on-the-fly and automatically extracts "log templates" from raw log entries.
#### Example:
For the input:
```
connected to 10.0.0.1
connected to 10.0.0.2
connected to 10.0.0.3
Hex number 0xDEADBEAF
Hex number 0x10000
user davidoh logged in
user eranr logged in
```
Drain3 extracts the following templates:
```
ID=1 : size=3 : connected to <:IP:>
ID=2 : size=2 : Hex number <:HEX:>
ID=3 : size=2 : user <:*:> logged in
```
Full sample program output:
```
Starting Drain3 template miner
Checking for saved state
Saved state not found
Drain3 started with 'FILE' persistence
reading from std-in (input 'q' to finish)
> connected to 10.0.0.1
Saving state of 1 clusters with 1 messages, 964 bytes, reason: cluster_created (1)
{"change_type": "cluster_created", "cluster_id": 1, "cluster_size": 1, "template_mined": "connected to <:IP:>", "cluster_count": 1}
parameters: ['10.0.0.1']
> connected to 10.0.0.2
{"change_type": "none", "cluster_id": 1, "cluster_size": 2, "template_mined": "connected to <:IP:>", "cluster_count": 1}
parameters: ['10.0.0.2']
> connected to 10.0.0.3
{"change_type": "none", "cluster_id": 1, "cluster_size": 3, "template_mined": "connected to <:IP:>", "cluster_count": 1}
parameters: ['10.0.0.3']
> Hex number 0xDEADBEAF
Saving state of 2 clusters with 4 messages, 1120 bytes, reason: cluster_created (2)
{"change_type": "cluster_created", "cluster_id": 2, "cluster_size": 1, "template_mined": "Hex number <:HEX:>", "cluster_count": 2}
parameters: ['0xDEADBEAF']
> Hex number 0x10000
{"change_type": "none", "cluster_id": 2, "cluster_size": 2, "template_mined": "Hex number <:HEX:>", "cluster_count": 2}
parameters: ['0x10000']
> user davidoh logged in
Saving state of 3 clusters with 6 messages, 1164 bytes, reason: cluster_created (3)
{"change_type": "cluster_created", "cluster_id": 3, "cluster_size": 1, "template_mined": "user davidoh logged in", "cluster_count": 3}
parameters: []
> user eranr logged in
Saving state of 3 clusters with 7 messages, 1168 bytes, reason: cluster_template_changed (3)
{"change_type": "cluster_template_changed", "cluster_id": 3, "cluster_size": 2, "template_mined": "user <:*:> logged in", "cluster_count": 3}
parameters: ['eranr']
q
Clusters:
ID=1 : size=3 : connected to <:IP:>
ID=2 : size=2 : Hex number <:HEX:>
ID=3 : size=2 : user <:*:> logged in
```
This project is an upgrade of the original [Drain](https://github.com/logpai/logparser/blob/master/logparser/Drain)
project by LogPAI from Python 2.7 to Python 3.6 or later with some bug-fixes and additional features.
Read more information about Drain from the following paper:
- Pinjia He, Jieming Zhu, Zibin Zheng, and Michael R.
Lyu. [Drain: An Online Log Parsing Approach with Fixed Depth Tree](https://pinjiahe.github.io/papers/ICWS17.pdf),
Proceedings of the 24th International Conference on Web Services (ICWS), 2017.
%package help
Summary: Development documents and examples for Nosparser
Provides: python3-Nosparser-doc
%description help
# Drain3
## Introduction
Drain3 is an online log template miner that can extract templates (clusters) from a stream of log messages in a timely
manner. It employs a parse tree with fixed depth to guide the log group search process, which effectively avoids
constructing a very deep and unbalanced tree.
Drain3 continuously learns on-the-fly and automatically extracts "log templates" from raw log entries.
#### Example:
For the input:
```
connected to 10.0.0.1
connected to 10.0.0.2
connected to 10.0.0.3
Hex number 0xDEADBEAF
Hex number 0x10000
user davidoh logged in
user eranr logged in
```
Drain3 extracts the following templates:
```
ID=1 : size=3 : connected to <:IP:>
ID=2 : size=2 : Hex number <:HEX:>
ID=3 : size=2 : user <:*:> logged in
```
Full sample program output:
```
Starting Drain3 template miner
Checking for saved state
Saved state not found
Drain3 started with 'FILE' persistence
reading from std-in (input 'q' to finish)
> connected to 10.0.0.1
Saving state of 1 clusters with 1 messages, 964 bytes, reason: cluster_created (1)
{"change_type": "cluster_created", "cluster_id": 1, "cluster_size": 1, "template_mined": "connected to <:IP:>", "cluster_count": 1}
parameters: ['10.0.0.1']
> connected to 10.0.0.2
{"change_type": "none", "cluster_id": 1, "cluster_size": 2, "template_mined": "connected to <:IP:>", "cluster_count": 1}
parameters: ['10.0.0.2']
> connected to 10.0.0.3
{"change_type": "none", "cluster_id": 1, "cluster_size": 3, "template_mined": "connected to <:IP:>", "cluster_count": 1}
parameters: ['10.0.0.3']
> Hex number 0xDEADBEAF
Saving state of 2 clusters with 4 messages, 1120 bytes, reason: cluster_created (2)
{"change_type": "cluster_created", "cluster_id": 2, "cluster_size": 1, "template_mined": "Hex number <:HEX:>", "cluster_count": 2}
parameters: ['0xDEADBEAF']
> Hex number 0x10000
{"change_type": "none", "cluster_id": 2, "cluster_size": 2, "template_mined": "Hex number <:HEX:>", "cluster_count": 2}
parameters: ['0x10000']
> user davidoh logged in
Saving state of 3 clusters with 6 messages, 1164 bytes, reason: cluster_created (3)
{"change_type": "cluster_created", "cluster_id": 3, "cluster_size": 1, "template_mined": "user davidoh logged in", "cluster_count": 3}
parameters: []
> user eranr logged in
Saving state of 3 clusters with 7 messages, 1168 bytes, reason: cluster_template_changed (3)
{"change_type": "cluster_template_changed", "cluster_id": 3, "cluster_size": 2, "template_mined": "user <:*:> logged in", "cluster_count": 3}
parameters: ['eranr']
q
Clusters:
ID=1 : size=3 : connected to <:IP:>
ID=2 : size=2 : Hex number <:HEX:>
ID=3 : size=2 : user <:*:> logged in
```
This project is an upgrade of the original [Drain](https://github.com/logpai/logparser/blob/master/logparser/Drain)
project by LogPAI from Python 2.7 to Python 3.6 or later with some bug-fixes and additional features.
Read more information about Drain from the following paper:
- Pinjia He, Jieming Zhu, Zibin Zheng, and Michael R.
Lyu. [Drain: An Online Log Parsing Approach with Fixed Depth Tree](https://pinjiahe.github.io/papers/ICWS17.pdf),
Proceedings of the 24th International Conference on Web Services (ICWS), 2017.
%prep
%autosetup -n Nosparser-0.11
%build
%py3_build
%install
%py3_install
install -d -m755 %{buildroot}/%{_pkgdocdir}
if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi
if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi
if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
pushd %{buildroot}
if [ -d usr/lib ]; then
find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/lib64 ]; then
find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/bin ]; then
find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/sbin ]; then
find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst
fi
touch doclist.lst
if [ -d usr/share/man ]; then
find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst
fi
popd
mv %{buildroot}/filelist.lst .
mv %{buildroot}/doclist.lst .
%files -n python3-Nosparser -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Wed May 31 2023 Python_Bot <Python_Bot@openeuler.org> - 0.11-1
- Package Spec generated
|
