From 8de90499114e84356c236f0e29d09eb3c0c26924 Mon Sep 17 00:00:00 2001 From: CoprDistGit Date: Tue, 30 May 2023 06:04:12 +0000 Subject: automatic import of python-aepp --- .gitignore | 1 + python-aepp.spec | 568 +++++++++++++++++++++++++++---------------------------- sources | 2 +- 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 - 0.2.11-1 +* Tue May 30 2023 Python_Bot - 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 -- cgit v1.2.3