automatic import of python-aepp

author: CoprDistGit <infra@openeuler.org> 2023-05-30 06:04:12 +0000
committer: CoprDistGit <infra@openeuler.org> 2023-05-30 06:04:12 +0000
commit: 8de90499114e84356c236f0e29d09eb3c0c26924 (patch)
tree: b361c1c836da94c202a9257fd4e9330921508b14
parent: be3e06e4a592367e50c4150b56d0f452491c4e45 (diff)
3 files changed, 286 insertions, 285 deletions
diff --git a/.gitignore b/.gitignore
index 5408599..4eaf3ce 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1 +1,2 @@
 /aepp-0.2.11.tar.gz
+/aepp-0.3.0.tar.gz
diff --git a/python-aepp.spec b/python-aepp.spec
index 5348a92..12e68a9 100644
--- a/python-aepp.spec
+++ b/python-aepp.spec
@@ -1,11 +1,11 @@
 %global _empty_manifest_terminate_build 0
 Name:		python-aepp
-Version:	0.2.11
+Version:	0.3.0
 Release:	1
 Summary:	Package to manage AEP API endpoint and some helper functions
 License:	GNU General Public License v3 (GPLv3)
-URL:		https://github.com/pitchmuc/aep
-Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/6f/8f/61a957e6f035c1a030ba018203a5c37ba6eb044e6c4f599395ce6ac22f26/aepp-0.2.11.tar.gz
+URL:		https://github.com/adobe/aepp
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/be/df/282a314f304086d986d912d583a0cdc95ae909ec23ffd75fca7485ce232f/aepp-0.3.0.tar.gz
 BuildArch:	noarch
 
 Requires:	python3-pandas
@@ -16,99 +16,99 @@ Requires:	python3-pathlib
 Requires:	python3-PyJWT[crypto]
 
 %description
-# Adobe Experience Platform API made for humans
-
-This repository will document the AEP wrapper on python.
-It is focusing on helping accessing the different endpoints of Adobe Experience Platform API.
-Documentation on the different endpoints can be found here : [AEP API doc](https://www.adobe.io/apis/experienceplatform/home/api-reference.html)
-The wrapper is currently named **aepp**, it stands for Adobe Experience Platform Python.
-
-## Installation
-
-You can install the module directly from a pypi command:
-
-```shell
-pip install aepp
-```
-
-The version of the wrapper can be seen by the following command (once loaded):
-
-```python
-import aepp
-aepp.__version__
-
-```
-
-**Consider upgrading regulary**
-
-```shell
-pip install aepp --upgrade
-```
-
-**NOTE TO PYTHON 3.10.X**
-
-At the moment, not all packages are supported on python 3.10.X, therefore, please use this module with a python 3.9.X version.\
-You can use pyenv to generate a local environment if required.
-
-## Getting Started
-
-In order to get started, I have compile a guide to help you initialize this module and what is required.
-You can find this documentation [here](./docs/getting-started.md)
-
-## AEPP docs
-
-At the moment the current wrapper is containing the following sub modules:
-
-* [schema](./docs/schema.md)
-* [queryservice](./docs/queryservice.md) (see note below)
-* [identity](./docs/identity.md)
-* [sandboxes](./docs/sandboxes.md)
-* [dataaccess](./docs/dataaccess.md)
-* [catalog](./docs/catalog.md)
-* [customerprofile](./docs/customerprofile.md)
-* [segmentation](./docs/segmentation.md)
-* [dataprep](./docs/dataprep.md)
-* [flowservice](./docs/flowservice.md)
-* [policy](./docs/policy.md)
-* [datasets](./docs/datasets.md)
-* [ingestion](./docs/ingestion.md)
-* [destination Authoring](./docs/destination.md)
-* [destination Instance](./docs/destinationinstanceservice.md)
-* [observability](./docs/observability.md)
-* accesscontrol
-* sensei
-* [privacyservice](./docs/privacyservice.md) (see 2nd note below)
-
-Last but not least, the core methods are described here: [main](./docs/main.md)
-
-## queryservice module
-
-The queryservice Module contains 2 classes:
-
-### QueryService class
-
-The QueryService class is the wrapper around the AEP Query Service API.\
-It provides access to the different endpoints available from the API.
-
-Use-Case example : At the moment the capability to scheduled query is only accessible from the API.
-
-[Detail documentation](./docs/queryservice.md)
-
-#### InteractiveQuery  and InteractiveQuery2 classes
-
-These classes are based on the pyGreSQL and psycopg2 module for python.\
-It provides you the capability to realize query directly from your local Jupyter notebook and returns a dataframe.
-In order to use these classes, you would need to install these module and a PSQL server.
-On top of that, you would need to the psql server accessible in the environment path.
-
-## PrivacyService module
-
-The privacy service module is part of the AEP python wrapper but requires a different JWT connection in console.adobe.io.
-Be careful that your JWT connection has the correct setup to access this API endpoints.
-
-## Releases
-
-Release notes are accessible [here](./docs/releases.md).
+# Adobe Experience Platform API made for humans
+
+This repository will document the AEP wrapper on python.
+It is focusing on helping accessing the different endpoints of Adobe Experience Platform API.
+Documentation on the different endpoints can be found here : [AEP API doc](https://www.adobe.io/apis/experienceplatform/home/api-reference.html)
+The wrapper is currently named **aepp**, it stands for Adobe Experience Platform Python.
+
+## Installation
+
+You can install the module directly from a pypi command:
+
+```shell
+pip install aepp
+```
+
+The version of the wrapper can be seen by the following command (once loaded):
+
+```python
+import aepp
+aepp.__version__
+
+```
+
+**Consider upgrading regulary**
+
+```shell
+pip install aepp --upgrade
+```
+
+**NOTE TO PYTHON 3.10.X**
+
+At the moment, not all packages are supported on python 3.10.X, therefore, please use this module with a python 3.9.X version.\
+You can use pyenv to generate a local environment if required.
+
+## Getting Started
+
+In order to get started, I have compile a guide to help you initialize this module and what is required.
+You can find this documentation [here](./docs/getting-started.md)
+
+## AEPP docs
+
+At the moment the current wrapper is containing the following sub modules:
+
+* [schema](./docs/schema.md)
+* [queryservice](./docs/queryservice.md) (see note below)
+* [identity](./docs/identity.md)
+* [sandboxes](./docs/sandboxes.md)
+* [dataaccess](./docs/dataaccess.md)
+* [catalog](./docs/catalog.md)
+* [customerprofile](./docs/customerprofile.md)
+* [segmentation](./docs/segmentation.md)
+* [dataprep](./docs/dataprep.md)
+* [flowservice](./docs/flowservice.md)
+* [policy](./docs/policy.md)
+* [datasets](./docs/datasets.md)
+* [ingestion](./docs/ingestion.md)
+* [destination Authoring](./docs/destination.md)
+* [destination Instance](./docs/destinationinstanceservice.md)
+* [observability](./docs/observability.md)
+* [accesscontrol](./docs/accesscontrol.md)
+* sensei
+* [privacyservice](./docs/privacyservice.md) (see 2nd note below)
+
+Last but not least, the core methods are described here: [main](./docs/main.md)
+
+## queryservice module
+
+The queryservice Module contains 2 classes:
+
+### QueryService class
+
+The QueryService class is the wrapper around the AEP Query Service API.\
+It provides access to the different endpoints available from the API.
+
+Use-Case example : At the moment the capability to scheduled query is only accessible from the API.
+
+[Detail documentation](./docs/queryservice.md)
+
+#### InteractiveQuery  and InteractiveQuery2 classes
+
+These classes are based on the pyGreSQL and psycopg2 module for python.\
+It provides you the capability to realize query directly from your local Jupyter notebook and returns a dataframe.
+In order to use these classes, you would need to install these module and a PSQL server.
+On top of that, you would need to the psql server accessible in the environment path.
+
+## PrivacyService module
+
+The privacy service module is part of the AEP python wrapper but requires a different JWT connection in console.adobe.io.
+Be careful that your JWT connection has the correct setup to access this API endpoints.
+
+## Releases
+
+Release notes are accessible [here](./docs/releases.md).
 
 
 %package -n python3-aepp
@@ -118,202 +118,202 @@ BuildRequires:	python3-devel
 BuildRequires:	python3-setuptools
 BuildRequires:	python3-pip
 %description -n python3-aepp
-# Adobe Experience Platform API made for humans
-
-This repository will document the AEP wrapper on python.
-It is focusing on helping accessing the different endpoints of Adobe Experience Platform API.
-Documentation on the different endpoints can be found here : [AEP API doc](https://www.adobe.io/apis/experienceplatform/home/api-reference.html)
-The wrapper is currently named **aepp**, it stands for Adobe Experience Platform Python.
-
-## Installation
-
-You can install the module directly from a pypi command:
-
-```shell
-pip install aepp
-```
-
-The version of the wrapper can be seen by the following command (once loaded):
-
-```python
-import aepp
-aepp.__version__
-
-```
-
-**Consider upgrading regulary**
-
-```shell
-pip install aepp --upgrade
-```
-
-**NOTE TO PYTHON 3.10.X**
-
-At the moment, not all packages are supported on python 3.10.X, therefore, please use this module with a python 3.9.X version.\
-You can use pyenv to generate a local environment if required.
-
-## Getting Started
-
-In order to get started, I have compile a guide to help you initialize this module and what is required.
-You can find this documentation [here](./docs/getting-started.md)
-
-## AEPP docs
-
-At the moment the current wrapper is containing the following sub modules:
-
-* [schema](./docs/schema.md)
-* [queryservice](./docs/queryservice.md) (see note below)
-* [identity](./docs/identity.md)
-* [sandboxes](./docs/sandboxes.md)
-* [dataaccess](./docs/dataaccess.md)
-* [catalog](./docs/catalog.md)
-* [customerprofile](./docs/customerprofile.md)
-* [segmentation](./docs/segmentation.md)
-* [dataprep](./docs/dataprep.md)
-* [flowservice](./docs/flowservice.md)
-* [policy](./docs/policy.md)
-* [datasets](./docs/datasets.md)
-* [ingestion](./docs/ingestion.md)
-* [destination Authoring](./docs/destination.md)
-* [destination Instance](./docs/destinationinstanceservice.md)
-* [observability](./docs/observability.md)
-* accesscontrol
-* sensei
-* [privacyservice](./docs/privacyservice.md) (see 2nd note below)
-
-Last but not least, the core methods are described here: [main](./docs/main.md)
-
-## queryservice module
-
-The queryservice Module contains 2 classes:
-
-### QueryService class
-
-The QueryService class is the wrapper around the AEP Query Service API.\
-It provides access to the different endpoints available from the API.
-
-Use-Case example : At the moment the capability to scheduled query is only accessible from the API.
-
-[Detail documentation](./docs/queryservice.md)
-
-#### InteractiveQuery  and InteractiveQuery2 classes
-
-These classes are based on the pyGreSQL and psycopg2 module for python.\
-It provides you the capability to realize query directly from your local Jupyter notebook and returns a dataframe.
-In order to use these classes, you would need to install these module and a PSQL server.
-On top of that, you would need to the psql server accessible in the environment path.
-
-## PrivacyService module
-
-The privacy service module is part of the AEP python wrapper but requires a different JWT connection in console.adobe.io.
-Be careful that your JWT connection has the correct setup to access this API endpoints.
-
-## Releases
-
-Release notes are accessible [here](./docs/releases.md).
+# Adobe Experience Platform API made for humans
+
+This repository will document the AEP wrapper on python.
+It is focusing on helping accessing the different endpoints of Adobe Experience Platform API.
+Documentation on the different endpoints can be found here : [AEP API doc](https://www.adobe.io/apis/experienceplatform/home/api-reference.html)
+The wrapper is currently named **aepp**, it stands for Adobe Experience Platform Python.
+
+## Installation
+
+You can install the module directly from a pypi command:
+
+```shell
+pip install aepp
+```
+
+The version of the wrapper can be seen by the following command (once loaded):
+
+```python
+import aepp
+aepp.__version__
+
+```
+
+**Consider upgrading regulary**
+
+```shell
+pip install aepp --upgrade
+```
+
+**NOTE TO PYTHON 3.10.X**
+
+At the moment, not all packages are supported on python 3.10.X, therefore, please use this module with a python 3.9.X version.\
+You can use pyenv to generate a local environment if required.
+
+## Getting Started
+
+In order to get started, I have compile a guide to help you initialize this module and what is required.
+You can find this documentation [here](./docs/getting-started.md)
+
+## AEPP docs
+
+At the moment the current wrapper is containing the following sub modules:
+
+* [schema](./docs/schema.md)
+* [queryservice](./docs/queryservice.md) (see note below)
+* [identity](./docs/identity.md)
+* [sandboxes](./docs/sandboxes.md)
+* [dataaccess](./docs/dataaccess.md)
+* [catalog](./docs/catalog.md)
+* [customerprofile](./docs/customerprofile.md)
+* [segmentation](./docs/segmentation.md)
+* [dataprep](./docs/dataprep.md)
+* [flowservice](./docs/flowservice.md)
+* [policy](./docs/policy.md)
+* [datasets](./docs/datasets.md)
+* [ingestion](./docs/ingestion.md)
+* [destination Authoring](./docs/destination.md)
+* [destination Instance](./docs/destinationinstanceservice.md)
+* [observability](./docs/observability.md)
+* [accesscontrol](./docs/accesscontrol.md)
+* sensei
+* [privacyservice](./docs/privacyservice.md) (see 2nd note below)
+
+Last but not least, the core methods are described here: [main](./docs/main.md)
+
+## queryservice module
+
+The queryservice Module contains 2 classes:
+
+### QueryService class
+
+The QueryService class is the wrapper around the AEP Query Service API.\
+It provides access to the different endpoints available from the API.
+
+Use-Case example : At the moment the capability to scheduled query is only accessible from the API.
+
+[Detail documentation](./docs/queryservice.md)
+
+#### InteractiveQuery  and InteractiveQuery2 classes
+
+These classes are based on the pyGreSQL and psycopg2 module for python.\
+It provides you the capability to realize query directly from your local Jupyter notebook and returns a dataframe.
+In order to use these classes, you would need to install these module and a PSQL server.
+On top of that, you would need to the psql server accessible in the environment path.
+
+## PrivacyService module
+
+The privacy service module is part of the AEP python wrapper but requires a different JWT connection in console.adobe.io.
+Be careful that your JWT connection has the correct setup to access this API endpoints.
+
+## Releases
+
+Release notes are accessible [here](./docs/releases.md).
 
 
 %package help
 Summary:	Development documents and examples for aepp
 Provides:	python3-aepp-doc
 %description help
-# Adobe Experience Platform API made for humans
-
-This repository will document the AEP wrapper on python.
-It is focusing on helping accessing the different endpoints of Adobe Experience Platform API.
-Documentation on the different endpoints can be found here : [AEP API doc](https://www.adobe.io/apis/experienceplatform/home/api-reference.html)
-The wrapper is currently named **aepp**, it stands for Adobe Experience Platform Python.
-
-## Installation
-
-You can install the module directly from a pypi command:
-
-```shell
-pip install aepp
-```
-
-The version of the wrapper can be seen by the following command (once loaded):
-
-```python
-import aepp
-aepp.__version__
-
-```
-
-**Consider upgrading regulary**
-
-```shell
-pip install aepp --upgrade
-```
-
-**NOTE TO PYTHON 3.10.X**
-
-At the moment, not all packages are supported on python 3.10.X, therefore, please use this module with a python 3.9.X version.\
-You can use pyenv to generate a local environment if required.
-
-## Getting Started
-
-In order to get started, I have compile a guide to help you initialize this module and what is required.
-You can find this documentation [here](./docs/getting-started.md)
-
-## AEPP docs
-
-At the moment the current wrapper is containing the following sub modules:
-
-* [schema](./docs/schema.md)
-* [queryservice](./docs/queryservice.md) (see note below)
-* [identity](./docs/identity.md)
-* [sandboxes](./docs/sandboxes.md)
-* [dataaccess](./docs/dataaccess.md)
-* [catalog](./docs/catalog.md)
-* [customerprofile](./docs/customerprofile.md)
-* [segmentation](./docs/segmentation.md)
-* [dataprep](./docs/dataprep.md)
-* [flowservice](./docs/flowservice.md)
-* [policy](./docs/policy.md)
-* [datasets](./docs/datasets.md)
-* [ingestion](./docs/ingestion.md)
-* [destination Authoring](./docs/destination.md)
-* [destination Instance](./docs/destinationinstanceservice.md)
-* [observability](./docs/observability.md)
-* accesscontrol
-* sensei
-* [privacyservice](./docs/privacyservice.md) (see 2nd note below)
-
-Last but not least, the core methods are described here: [main](./docs/main.md)
-
-## queryservice module
-
-The queryservice Module contains 2 classes:
-
-### QueryService class
-
-The QueryService class is the wrapper around the AEP Query Service API.\
-It provides access to the different endpoints available from the API.
-
-Use-Case example : At the moment the capability to scheduled query is only accessible from the API.
-
-[Detail documentation](./docs/queryservice.md)
-
-#### InteractiveQuery  and InteractiveQuery2 classes
-
-These classes are based on the pyGreSQL and psycopg2 module for python.\
-It provides you the capability to realize query directly from your local Jupyter notebook and returns a dataframe.
-In order to use these classes, you would need to install these module and a PSQL server.
-On top of that, you would need to the psql server accessible in the environment path.
-
-## PrivacyService module
-
-The privacy service module is part of the AEP python wrapper but requires a different JWT connection in console.adobe.io.
-Be careful that your JWT connection has the correct setup to access this API endpoints.
-
-## Releases
-
-Release notes are accessible [here](./docs/releases.md).
+# Adobe Experience Platform API made for humans
+
+This repository will document the AEP wrapper on python.
+It is focusing on helping accessing the different endpoints of Adobe Experience Platform API.
+Documentation on the different endpoints can be found here : [AEP API doc](https://www.adobe.io/apis/experienceplatform/home/api-reference.html)
+The wrapper is currently named **aepp**, it stands for Adobe Experience Platform Python.
+
+## Installation
+
+You can install the module directly from a pypi command:
+
+```shell
+pip install aepp
+```
+
+The version of the wrapper can be seen by the following command (once loaded):
+
+```python
+import aepp
+aepp.__version__
+
+```
+
+**Consider upgrading regulary**
+
+```shell
+pip install aepp --upgrade
+```
+
+**NOTE TO PYTHON 3.10.X**
+
+At the moment, not all packages are supported on python 3.10.X, therefore, please use this module with a python 3.9.X version.\
+You can use pyenv to generate a local environment if required.
+
+## Getting Started
+
+In order to get started, I have compile a guide to help you initialize this module and what is required.
+You can find this documentation [here](./docs/getting-started.md)
+
+## AEPP docs
+
+At the moment the current wrapper is containing the following sub modules:
+
+* [schema](./docs/schema.md)
+* [queryservice](./docs/queryservice.md) (see note below)
+* [identity](./docs/identity.md)
+* [sandboxes](./docs/sandboxes.md)
+* [dataaccess](./docs/dataaccess.md)
+* [catalog](./docs/catalog.md)
+* [customerprofile](./docs/customerprofile.md)
+* [segmentation](./docs/segmentation.md)
+* [dataprep](./docs/dataprep.md)
+* [flowservice](./docs/flowservice.md)
+* [policy](./docs/policy.md)
+* [datasets](./docs/datasets.md)
+* [ingestion](./docs/ingestion.md)
+* [destination Authoring](./docs/destination.md)
+* [destination Instance](./docs/destinationinstanceservice.md)
+* [observability](./docs/observability.md)
+* [accesscontrol](./docs/accesscontrol.md)
+* sensei
+* [privacyservice](./docs/privacyservice.md) (see 2nd note below)
+
+Last but not least, the core methods are described here: [main](./docs/main.md)
+
+## queryservice module
+
+The queryservice Module contains 2 classes:
+
+### QueryService class
+
+The QueryService class is the wrapper around the AEP Query Service API.\
+It provides access to the different endpoints available from the API.
+
+Use-Case example : At the moment the capability to scheduled query is only accessible from the API.
+
+[Detail documentation](./docs/queryservice.md)
+
+#### InteractiveQuery  and InteractiveQuery2 classes
+
+These classes are based on the pyGreSQL and psycopg2 module for python.\
+It provides you the capability to realize query directly from your local Jupyter notebook and returns a dataframe.
+In order to use these classes, you would need to install these module and a PSQL server.
+On top of that, you would need to the psql server accessible in the environment path.
+
+## PrivacyService module
+
+The privacy service module is part of the AEP python wrapper but requires a different JWT connection in console.adobe.io.
+Be careful that your JWT connection has the correct setup to access this API endpoints.
+
+## Releases
+
+Release notes are accessible [here](./docs/releases.md).
 
 
 %prep
-%autosetup -n aepp-0.2.11
+%autosetup -n aepp-0.3.0
 
 %build
 %py3_build
@@ -353,5 +353,5 @@ mv %{buildroot}/doclist.lst .
 %{_docdir}/*
 
 %changelog
-* Wed May 10 2023 Python_Bot <Python_Bot@openeuler.org> - 0.2.11-1
+* Tue May 30 2023 Python_Bot <Python_Bot@openeuler.org> - 0.3.0-1
 - Package Spec generated
diff --git a/sources b/sources
index b01645d..61c9533 100644
--- a/sources
+++ b/sources
@@ -1 +1 @@
-e7d218d46b612d0acd73daf4b8c47741  aepp-0.2.11.tar.gz
+1621bd56e5b92350a2a139f5362bd4f4  aepp-0.3.0.tar.gz
author	CoprDistGit <infra@openeuler.org>	2023-05-30 06:04:12 +0000
committer	CoprDistGit <infra@openeuler.org>	2023-05-30 06:04:12 +0000
commit	8de90499114e84356c236f0e29d09eb3c0c26924 (patch)
tree	b361c1c836da94c202a9257fd4e9330921508b14
parent	be3e06e4a592367e50c4150b56d0f452491c4e45 (diff)