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+%global _empty_manifest_terminate_build 0
+Name:		python-ayeaye
+Version:	0.0.45
+Release:	1
+Summary:	An ETL (Extract, Transform, Load) framework
+License:	Apache Software License
+URL:		https://github.com/Aye-Aye-Dev/AyeAye
+Source0:	https://mirrors.aliyun.com/pypi/web/packages/12/d4/36db2468a349a551797f7eae9d1dc2727ab8d0074aa4e70a7486f2f25b12/ayeaye-0.0.45.tar.gz
+BuildArch:	noarch
+
+Requires:	python3-requests
+Requires:	python3-boto3
+Requires:	python3-smart-open
+Requires:	python3-smart-open
+
+%description
+# Aye Aye
+
+An ETL (Extract, Transform, Load) framework.
+
+## Quick install
+
+In the virtual environment for the project you’d like to use Aye Aye in, run:-
+
+```shell
+pip install ayeaye
+```
+
+## Quick start
+
+Use [Pipenv](https://pipenv.pypa.io/en/latest/) to manage a python virtual environment and package management0
+
+```shell
+pipenv shell
+pipenv install ayeaye
+```
+
+Within the environment created by pipenv above, run one of the examples:-
+
+```shell
+curl "https://raw.githubusercontent.com/Aye-Aye-Dev/AyeAye/master/examples/poisonous_animals.py" \
+  --output poisonous_animals.py
+mkdir data
+curl https://raw.githubusercontent.com/Aye-Aye-Dev/AyeAye/master/examples/data/poisonous_animals.json \
+  --output data/poisonous_animals.json
+python poisonous_animals.py 
+```
+
+This model takes a small input dataset of animals and collates them by the country they are found. It doesn't write to a dataset, it just outputs a log. The log for this example contains the name of the country and the animals found there.
+
+There are more examples in the [Aye-Aye-Recipes](https://github.com/Aye-Aye-Dev/Aye-Aye-Recipes) git repo.
+
+
+## Overview
+
+An Aye Aye ETL *model* inherits from `ayeaye.model` and uses class level variables to declare *connectors* to the data it acts on.
+
+Example:-
+
+```python
+import ayeaye
+
+class PoisonousAnimals(ayeaye.Model):
+    poisonous_animals = ayeaye.Connect(engine_url='json://data/poisonous_animals.json')
+```
+
+When instantiated, `self.poisonous_animals` will be a *dataset* that ETL operations can be done with.
+
+The `engine_url` parameter passed to `ayeaye.Connect` is specifying the dataset type JSON in this case) and exact location for the data (`data/poisonous_animals.json` is a relative file path).
+
+Instead of `engine_url` you could also specify a `ref` and this uses the data catalogue to lookup the `engine_url`. (TODO this feature is coming soon!). When used this way, `ayeaye.Connect` is responsible for resolving the `ref` to an `engine_url` and passing this to a subclass of `ayeaye.connectors.base.DataConnector` which can read and maybe write this data type.
+
+
+## Unit tests
+
+Ensure the working directory is the base Aye Aye directory (i.e. the same directory as the Pipfile):
+```shell
+pipenv install --dev
+export PYTHONPATH=`pwd`/lib
+pipenv run python -m unittest discover
+```
+
+## Development version
+
+To use the latest code in editable mode-
+
+```shell
+pipenv install -e git+https://github.com/Aye-Aye-Dev/AyeAye#egg=ayeaye
+```
+
+When `venv` is being used, add this line to `requirements.txt`-
+
+```
+git+https://github.com/Aye-Aye-Dev/AyeAye#egg=ayeaye
+```
+
+## Optional extras
+
+Extra dependencies for API usage within Aye-aye models can be installed like this:
+
+```shell
+pipenv install "ayeaye[api]"
+```
+
+| Label | Functionality |
+| --- | --- |
+| api | Restful JSON via http(s) |
+| aws | File based connectors can use Amazon Web Service S3 file storage |
+| compression | On the fly compression for file based connectors |
+
+
+## License
+
+Aye Aye is distributed under the terms of the [Apache License 2.0](https://www.apache.org/licenses/LICENSE-2.0.html) and Copyright Progressive Logic Limit 2021 and onwards.
+
+
+%package -n python3-ayeaye
+Summary:	An ETL (Extract, Transform, Load) framework
+Provides:	python-ayeaye
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-ayeaye
+# Aye Aye
+
+An ETL (Extract, Transform, Load) framework.
+
+## Quick install
+
+In the virtual environment for the project you’d like to use Aye Aye in, run:-
+
+```shell
+pip install ayeaye
+```
+
+## Quick start
+
+Use [Pipenv](https://pipenv.pypa.io/en/latest/) to manage a python virtual environment and package management0
+
+```shell
+pipenv shell
+pipenv install ayeaye
+```
+
+Within the environment created by pipenv above, run one of the examples:-
+
+```shell
+curl "https://raw.githubusercontent.com/Aye-Aye-Dev/AyeAye/master/examples/poisonous_animals.py" \
+  --output poisonous_animals.py
+mkdir data
+curl https://raw.githubusercontent.com/Aye-Aye-Dev/AyeAye/master/examples/data/poisonous_animals.json \
+  --output data/poisonous_animals.json
+python poisonous_animals.py 
+```
+
+This model takes a small input dataset of animals and collates them by the country they are found. It doesn't write to a dataset, it just outputs a log. The log for this example contains the name of the country and the animals found there.
+
+There are more examples in the [Aye-Aye-Recipes](https://github.com/Aye-Aye-Dev/Aye-Aye-Recipes) git repo.
+
+
+## Overview
+
+An Aye Aye ETL *model* inherits from `ayeaye.model` and uses class level variables to declare *connectors* to the data it acts on.
+
+Example:-
+
+```python
+import ayeaye
+
+class PoisonousAnimals(ayeaye.Model):
+    poisonous_animals = ayeaye.Connect(engine_url='json://data/poisonous_animals.json')
+```
+
+When instantiated, `self.poisonous_animals` will be a *dataset* that ETL operations can be done with.
+
+The `engine_url` parameter passed to `ayeaye.Connect` is specifying the dataset type JSON in this case) and exact location for the data (`data/poisonous_animals.json` is a relative file path).
+
+Instead of `engine_url` you could also specify a `ref` and this uses the data catalogue to lookup the `engine_url`. (TODO this feature is coming soon!). When used this way, `ayeaye.Connect` is responsible for resolving the `ref` to an `engine_url` and passing this to a subclass of `ayeaye.connectors.base.DataConnector` which can read and maybe write this data type.
+
+
+## Unit tests
+
+Ensure the working directory is the base Aye Aye directory (i.e. the same directory as the Pipfile):
+```shell
+pipenv install --dev
+export PYTHONPATH=`pwd`/lib
+pipenv run python -m unittest discover
+```
+
+## Development version
+
+To use the latest code in editable mode-
+
+```shell
+pipenv install -e git+https://github.com/Aye-Aye-Dev/AyeAye#egg=ayeaye
+```
+
+When `venv` is being used, add this line to `requirements.txt`-
+
+```
+git+https://github.com/Aye-Aye-Dev/AyeAye#egg=ayeaye
+```
+
+## Optional extras
+
+Extra dependencies for API usage within Aye-aye models can be installed like this:
+
+```shell
+pipenv install "ayeaye[api]"
+```
+
+| Label | Functionality |
+| --- | --- |
+| api | Restful JSON via http(s) |
+| aws | File based connectors can use Amazon Web Service S3 file storage |
+| compression | On the fly compression for file based connectors |
+
+
+## License
+
+Aye Aye is distributed under the terms of the [Apache License 2.0](https://www.apache.org/licenses/LICENSE-2.0.html) and Copyright Progressive Logic Limit 2021 and onwards.
+
+
+%package help
+Summary:	Development documents and examples for ayeaye
+Provides:	python3-ayeaye-doc
+%description help
+# Aye Aye
+
+An ETL (Extract, Transform, Load) framework.
+
+## Quick install
+
+In the virtual environment for the project you’d like to use Aye Aye in, run:-
+
+```shell
+pip install ayeaye
+```
+
+## Quick start
+
+Use [Pipenv](https://pipenv.pypa.io/en/latest/) to manage a python virtual environment and package management0
+
+```shell
+pipenv shell
+pipenv install ayeaye
+```
+
+Within the environment created by pipenv above, run one of the examples:-
+
+```shell
+curl "https://raw.githubusercontent.com/Aye-Aye-Dev/AyeAye/master/examples/poisonous_animals.py" \
+  --output poisonous_animals.py
+mkdir data
+curl https://raw.githubusercontent.com/Aye-Aye-Dev/AyeAye/master/examples/data/poisonous_animals.json \
+  --output data/poisonous_animals.json
+python poisonous_animals.py 
+```
+
+This model takes a small input dataset of animals and collates them by the country they are found. It doesn't write to a dataset, it just outputs a log. The log for this example contains the name of the country and the animals found there.
+
+There are more examples in the [Aye-Aye-Recipes](https://github.com/Aye-Aye-Dev/Aye-Aye-Recipes) git repo.
+
+
+## Overview
+
+An Aye Aye ETL *model* inherits from `ayeaye.model` and uses class level variables to declare *connectors* to the data it acts on.
+
+Example:-
+
+```python
+import ayeaye
+
+class PoisonousAnimals(ayeaye.Model):
+    poisonous_animals = ayeaye.Connect(engine_url='json://data/poisonous_animals.json')
+```
+
+When instantiated, `self.poisonous_animals` will be a *dataset* that ETL operations can be done with.
+
+The `engine_url` parameter passed to `ayeaye.Connect` is specifying the dataset type JSON in this case) and exact location for the data (`data/poisonous_animals.json` is a relative file path).
+
+Instead of `engine_url` you could also specify a `ref` and this uses the data catalogue to lookup the `engine_url`. (TODO this feature is coming soon!). When used this way, `ayeaye.Connect` is responsible for resolving the `ref` to an `engine_url` and passing this to a subclass of `ayeaye.connectors.base.DataConnector` which can read and maybe write this data type.
+
+
+## Unit tests
+
+Ensure the working directory is the base Aye Aye directory (i.e. the same directory as the Pipfile):
+```shell
+pipenv install --dev
+export PYTHONPATH=`pwd`/lib
+pipenv run python -m unittest discover
+```
+
+## Development version
+
+To use the latest code in editable mode-
+
+```shell
+pipenv install -e git+https://github.com/Aye-Aye-Dev/AyeAye#egg=ayeaye
+```
+
+When `venv` is being used, add this line to `requirements.txt`-
+
+```
+git+https://github.com/Aye-Aye-Dev/AyeAye#egg=ayeaye
+```
+
+## Optional extras
+
+Extra dependencies for API usage within Aye-aye models can be installed like this:
+
+```shell
+pipenv install "ayeaye[api]"
+```
+
+| Label | Functionality |
+| --- | --- |
+| api | Restful JSON via http(s) |
+| aws | File based connectors can use Amazon Web Service S3 file storage |
+| compression | On the fly compression for file based connectors |
+
+
+## License
+
+Aye Aye is distributed under the terms of the [Apache License 2.0](https://www.apache.org/licenses/LICENSE-2.0.html) and Copyright Progressive Logic Limit 2021 and onwards.
+
+
+%prep
+%autosetup -n ayeaye-0.0.45
+
+%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-ayeaye -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Tue Jun 20 2023 Python_Bot <Python_Bot@openeuler.org> - 0.0.45-1
+- Package Spec generated