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|
%global _empty_manifest_terminate_build 0
Name: python-awslayer-manager
Version: 1.0.14
Release: 1
Summary: A simple, per-project AWS Lambda Layer manager.
License: MIT
URL: https://www.example.com
Source0: https://mirrors.aliyun.com/pypi/web/packages/f8/da/bc38b67b1f8581f01f352ab502ce45a66acb8c06e788b2527a493723cc6c/awslayer-manager-1.0.14.tar.gz
BuildArch: noarch
Requires: python3-cursor
%description
# awslayer-manager
This is a simple tool that helps you build and upload your project requirements as an AWS Lambda Layer. It extracts
the requirements from your Pipfile and installs them into a separate directory which it is then deployed from. This
package also supports working with the high performance `mysqlclient` library by compiling it inside a docker container
that closely mimics the AWS Lambda environment and deploying it with the layer.
## Installation
To install this package, run
```bash
pip install awslayer-manager
```
### Requirements
- Requires your project to be using the `Serverless` framework.
- This package requires `Docker` to build requirements to avoid compilation issues.
## Running
To initialize the layer run
```bash
awslayer
```
in the project directory. This will extract requirements from your Pipfile and create a serverless.yml inside the layer
directory. Once the layer is initialized, it will install all the requirements inside the `layers/package` directory and
deploy it using `sls deploy` the layer to the specified environment (dev by default).
To change the deployment environment use the `--env` option. Currently supports `dev`, `stage`, and `prod` environments.
Once that is done, add the following (omit square brackets) for each function in your project's serverless.yml:
```YAML
functions:
func-name:
handler: src/handler.func-name
layers:
- "${cf:[stack-name].[ServiceName]LayerLambdaLayerQualifiedArn}"
```
where you can find the "[ServiceName]LayerLambdaLayerQualifiedArn" identifier in the CloudFormation stack.
**NOTE:** This package will create a `.layer` directory inside your project which I recommend adding to your .gitignore
file as it is fairly heavy (depending on the size of your requirements). The script, however, will try to clean up
to the best of its ability.
## Contributing
Pull requests are welcome.
%package -n python3-awslayer-manager
Summary: A simple, per-project AWS Lambda Layer manager.
Provides: python-awslayer-manager
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-awslayer-manager
# awslayer-manager
This is a simple tool that helps you build and upload your project requirements as an AWS Lambda Layer. It extracts
the requirements from your Pipfile and installs them into a separate directory which it is then deployed from. This
package also supports working with the high performance `mysqlclient` library by compiling it inside a docker container
that closely mimics the AWS Lambda environment and deploying it with the layer.
## Installation
To install this package, run
```bash
pip install awslayer-manager
```
### Requirements
- Requires your project to be using the `Serverless` framework.
- This package requires `Docker` to build requirements to avoid compilation issues.
## Running
To initialize the layer run
```bash
awslayer
```
in the project directory. This will extract requirements from your Pipfile and create a serverless.yml inside the layer
directory. Once the layer is initialized, it will install all the requirements inside the `layers/package` directory and
deploy it using `sls deploy` the layer to the specified environment (dev by default).
To change the deployment environment use the `--env` option. Currently supports `dev`, `stage`, and `prod` environments.
Once that is done, add the following (omit square brackets) for each function in your project's serverless.yml:
```YAML
functions:
func-name:
handler: src/handler.func-name
layers:
- "${cf:[stack-name].[ServiceName]LayerLambdaLayerQualifiedArn}"
```
where you can find the "[ServiceName]LayerLambdaLayerQualifiedArn" identifier in the CloudFormation stack.
**NOTE:** This package will create a `.layer` directory inside your project which I recommend adding to your .gitignore
file as it is fairly heavy (depending on the size of your requirements). The script, however, will try to clean up
to the best of its ability.
## Contributing
Pull requests are welcome.
%package help
Summary: Development documents and examples for awslayer-manager
Provides: python3-awslayer-manager-doc
%description help
# awslayer-manager
This is a simple tool that helps you build and upload your project requirements as an AWS Lambda Layer. It extracts
the requirements from your Pipfile and installs them into a separate directory which it is then deployed from. This
package also supports working with the high performance `mysqlclient` library by compiling it inside a docker container
that closely mimics the AWS Lambda environment and deploying it with the layer.
## Installation
To install this package, run
```bash
pip install awslayer-manager
```
### Requirements
- Requires your project to be using the `Serverless` framework.
- This package requires `Docker` to build requirements to avoid compilation issues.
## Running
To initialize the layer run
```bash
awslayer
```
in the project directory. This will extract requirements from your Pipfile and create a serverless.yml inside the layer
directory. Once the layer is initialized, it will install all the requirements inside the `layers/package` directory and
deploy it using `sls deploy` the layer to the specified environment (dev by default).
To change the deployment environment use the `--env` option. Currently supports `dev`, `stage`, and `prod` environments.
Once that is done, add the following (omit square brackets) for each function in your project's serverless.yml:
```YAML
functions:
func-name:
handler: src/handler.func-name
layers:
- "${cf:[stack-name].[ServiceName]LayerLambdaLayerQualifiedArn}"
```
where you can find the "[ServiceName]LayerLambdaLayerQualifiedArn" identifier in the CloudFormation stack.
**NOTE:** This package will create a `.layer` directory inside your project which I recommend adding to your .gitignore
file as it is fairly heavy (depending on the size of your requirements). The script, however, will try to clean up
to the best of its ability.
## Contributing
Pull requests are welcome.
%prep
%autosetup -n awslayer-manager-1.0.14
%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-awslayer-manager -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Tue Jun 20 2023 Python_Bot <Python_Bot@openeuler.org> - 1.0.14-1
- Package Spec generated
|
