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|
%global _empty_manifest_terminate_build 0
Name: python-libddog
Version: 0.1.8.post1
Release: 1
Summary: Datadog automation tool
License: MIT
URL: https://github.com/nearmap/libddog
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/c0/fd/0b4e8dce0cd2fa1c256d04834a74e3c757edf7bde9e86ae2546c21e2b2fe/libddog-0.1.8.post1.tar.gz
BuildArch: noarch
Requires: python3-click
Requires: python3-packaging
Requires: python3-parsimonious
Requires: python3-dateutil
Requires: python3-requests
%description
# Datadog library and command line tools
[](https://pypi.org/project/libddog)
[](https://github.com/nearmap/libddog/actions/workflows/github-actions.yml)
libddog lets you define your metrics and dashboards in code and get the full benefit of a programming language to automate your monitoring setup.
First you write the query:
```python
query = (Query("aws.elb.request_count")
.filter(region="us-east-1")
.agg("sum").by("availability-zone").as_count()
.rollup("sum", 5 * 60))
# produces:
# sum:aws.elb.request_count{region:us-east-1}
# by {availability-zone}.as_count().rollup(sum, 300)
```
The query language closely resembles the Datadog syntax, but because it's Python code and not just a string it is validated and known to be well formed at definition time.
Then you define what the graph looks like:
```python
Timeseries(
title="ELB: total requests by AZ every 5min",
requests=[
Request(
queries=[query],
display_type=DisplayType.BARS,
),
],
size=Size(height=3, width=5),
)
```
This gives you the widget you want, with all the parameters supported by the Datadog UI.
Learn more in the **[User guide](https://github.com/nearmap/libddog/blob/master/docs/USER_GUIDE.md)**.
## The state of the project
libddog is a young project and currently supports a small but useful subset of dashboard functionality. See the **[Feature support](https://github.com/nearmap/libddog/blob/master/docs/FEATURE_SUPPORT.md)** page for details.
We plan to support more dashboard features over time. We also plan to support monitors.
Want to know what's new in the project? Read the **[CHANGELOG](https://github.com/nearmap/libddog/blob/master/CHANGELOG.md)**.
Want to contribute? Start by reading the **[Maintainer guide](https://github.com/nearmap/libddog/blob/master/docs/MAINTAINER_GUIDE.md)**.
%package -n python3-libddog
Summary: Datadog automation tool
Provides: python-libddog
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-libddog
# Datadog library and command line tools
[](https://pypi.org/project/libddog)
[](https://github.com/nearmap/libddog/actions/workflows/github-actions.yml)
libddog lets you define your metrics and dashboards in code and get the full benefit of a programming language to automate your monitoring setup.
First you write the query:
```python
query = (Query("aws.elb.request_count")
.filter(region="us-east-1")
.agg("sum").by("availability-zone").as_count()
.rollup("sum", 5 * 60))
# produces:
# sum:aws.elb.request_count{region:us-east-1}
# by {availability-zone}.as_count().rollup(sum, 300)
```
The query language closely resembles the Datadog syntax, but because it's Python code and not just a string it is validated and known to be well formed at definition time.
Then you define what the graph looks like:
```python
Timeseries(
title="ELB: total requests by AZ every 5min",
requests=[
Request(
queries=[query],
display_type=DisplayType.BARS,
),
],
size=Size(height=3, width=5),
)
```
This gives you the widget you want, with all the parameters supported by the Datadog UI.
Learn more in the **[User guide](https://github.com/nearmap/libddog/blob/master/docs/USER_GUIDE.md)**.
## The state of the project
libddog is a young project and currently supports a small but useful subset of dashboard functionality. See the **[Feature support](https://github.com/nearmap/libddog/blob/master/docs/FEATURE_SUPPORT.md)** page for details.
We plan to support more dashboard features over time. We also plan to support monitors.
Want to know what's new in the project? Read the **[CHANGELOG](https://github.com/nearmap/libddog/blob/master/CHANGELOG.md)**.
Want to contribute? Start by reading the **[Maintainer guide](https://github.com/nearmap/libddog/blob/master/docs/MAINTAINER_GUIDE.md)**.
%package help
Summary: Development documents and examples for libddog
Provides: python3-libddog-doc
%description help
# Datadog library and command line tools
[](https://pypi.org/project/libddog)
[](https://github.com/nearmap/libddog/actions/workflows/github-actions.yml)
libddog lets you define your metrics and dashboards in code and get the full benefit of a programming language to automate your monitoring setup.
First you write the query:
```python
query = (Query("aws.elb.request_count")
.filter(region="us-east-1")
.agg("sum").by("availability-zone").as_count()
.rollup("sum", 5 * 60))
# produces:
# sum:aws.elb.request_count{region:us-east-1}
# by {availability-zone}.as_count().rollup(sum, 300)
```
The query language closely resembles the Datadog syntax, but because it's Python code and not just a string it is validated and known to be well formed at definition time.
Then you define what the graph looks like:
```python
Timeseries(
title="ELB: total requests by AZ every 5min",
requests=[
Request(
queries=[query],
display_type=DisplayType.BARS,
),
],
size=Size(height=3, width=5),
)
```
This gives you the widget you want, with all the parameters supported by the Datadog UI.
Learn more in the **[User guide](https://github.com/nearmap/libddog/blob/master/docs/USER_GUIDE.md)**.
## The state of the project
libddog is a young project and currently supports a small but useful subset of dashboard functionality. See the **[Feature support](https://github.com/nearmap/libddog/blob/master/docs/FEATURE_SUPPORT.md)** page for details.
We plan to support more dashboard features over time. We also plan to support monitors.
Want to know what's new in the project? Read the **[CHANGELOG](https://github.com/nearmap/libddog/blob/master/CHANGELOG.md)**.
Want to contribute? Start by reading the **[Maintainer guide](https://github.com/nearmap/libddog/blob/master/docs/MAINTAINER_GUIDE.md)**.
%prep
%autosetup -n libddog-0.1.8.post1
%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-libddog -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Wed May 10 2023 Python_Bot <Python_Bot@openeuler.org> - 0.1.8.post1-1
- Package Spec generated
|
