# 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 compiled 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)
* [SchemaManager](./docs/schemaManager.md)
* [FieldGroupManager](./docs/fieldGroupManager.md)
* [DataTypeManager](./docs/dataTypeManager.md)
* [queryservice](./docs/queryservice.md)
* [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)
* [privacyservice](./docs/privacyservice.md) (see 2nd note below)
* [data hygiene](./docs/hygiene.md)
* [edge](./docs/edge.md)
Last but not least, the core methods are described here: [main](./docs/main.md)
## Special classes
The wrapper is having a class in all submodule in order to connect to the different service APIs.\
In addition to that, there are other classes that are provided in order to help you working with the API.
### InteractiveQuery and InteractiveQuery2 classes
These classes are implemented in the `queryservice` modulebased 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.
### SchemaManager, FieldGroupManager and DataTypeManager
These classes are available from the `schema` module and alloy you to handle the different elements of the schema definition.
You can use them to extract information on your schema definition.
### FlowManager
The FlowManager is part of the `flowservice` module and allows you to group every aspect of a flow in a single class and simplify the search for the relationship between `sourceFlows`, `targetFlow` and the main flow elements.
### PrivacyService module
The privacy service module is part of the AEP python wrapper (`aepp`) 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).
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