# Adobe Customer Journey API
-----------------------
This is a python wrapper for the Adobe Customer Journey API.\
One important element when starting with CJA API is that you need to have your adobe console.io Project containing access to AEP **and** CJA.\
You cannot use the API without having access to both elements.
## Documentation
Documentation is split in different places:
* Core methods to setup `cjapy`: [main documentation](./docs/main.md)
* Methods provided by the CJA class instance: [cja documentation](./docs/cja.md)
* Workspace class documentation: [Workspace class](./docs/workspace.md)
* RequestCreator class documentation: [RequestCreator class](./docs/requestCreator.md)
* Project class documentation : [Project class](./docs/projects.md)
## Versions
A documentation about the releases information can be found here : [cjapy releases](./docs/releases.md)
## Functionalities
Functionalities that are covered :
* Get Dimensions & Metrics
* Get, Update and Delete Tags & Shares
* Get, Update and Delete Dataview
* Get, Update and Delete Date Ranges
* Get, Update and Delete Filters
* Get Top items for a dimension
* Get, Update and delete projects
* Digest Project Information and analyse them via the `Project` class
* Run a report (by default returning a Workspace instance)
* (BETA) Run a multi dimensional report
## Getting Started
A documentation is provided to get started quickly with the CJA API wrapper in python.\
You can find it here: [get started on `cjapy`](./docs/getting_started.md)\
To install the library with PIP use:
```cli
pip install cjapy
```
or, to get the latest version from github
```cli
python -m pip install --upgrade git+<https://github.com/pitchmuc/cjapy.git#egg=cjapy>
```
## Logging capability
A logging capability is present on the module for debugging purposes.\
There is a proper documentation in place to understand how you can add the logging messages to your runtime.\
[Documentation on logging in cjapy](./docs/logging.md)
## Dependencies
In order to use this API in python, you would need to have those libraries installed :
* pandas
* requests
* json
* PyJWT
* PyJWT[crypto]
* pathlib
* pytest
## Test
TBW
## Others Sources
You can find information about the CJA API here :
* [https://www.adobe.io/cja-apis/docs/api/]
* [https://www.adobe.io/cja-apis/docs/use-cases/]
[1]: https://www.datanalyst.info
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"description": "# Adobe Customer Journey API\r\n\r\n-----------------------\r\n\r\nThis is a python wrapper for the Adobe Customer Journey API.\\\r\nOne important element when starting with CJA API is that you need to have your adobe console.io Project containing access to AEP **and** CJA.\\\r\nYou cannot use the API without having access to both elements.\r\n\r\n## Documentation\r\n\r\nDocumentation is split in different places:\r\n\r\n* Core methods to setup `cjapy`: [main documentation](./docs/main.md)\r\n* Methods provided by the CJA class instance: [cja documentation](./docs/cja.md)\r\n* Workspace class documentation: [Workspace class](./docs/workspace.md)\r\n* RequestCreator class documentation: [RequestCreator class](./docs/requestCreator.md)\r\n* Project class documentation : [Project class](./docs/projects.md)\r\n\r\n## Versions\r\n\r\nA documentation about the releases information can be found here : [cjapy releases](./docs/releases.md)\r\n\r\n## Functionalities\r\n\r\nFunctionalities that are covered :\r\n\r\n* Get Dimensions & Metrics\r\n* Get, Update and Delete Tags & Shares\r\n* Get, Update and Delete Dataview\r\n* Get, Update and Delete Date Ranges\r\n* Get, Update and Delete Filters\r\n* Get Top items for a dimension\r\n* Get, Update and delete projects\r\n* Digest Project Information and analyse them via the `Project` class\r\n* Run a report (by default returning a Workspace instance)\r\n* (BETA) Run a multi dimensional report\r\n\r\n## Getting Started\r\n\r\nA documentation is provided to get started quickly with the CJA API wrapper in python.\\\r\nYou can find it here: [get started on `cjapy`](./docs/getting_started.md)\\\r\nTo install the library with PIP use:\r\n\r\n```cli\r\npip install cjapy\r\n```\r\n\r\nor, to get the latest version from github\r\n\r\n```cli\r\npython -m pip install --upgrade git+<https://github.com/pitchmuc/cjapy.git#egg=cjapy>\r\n```\r\n\r\n## Logging capability\r\n\r\nA logging capability is present on the module for debugging purposes.\\\r\nThere is a proper documentation in place to understand how you can add the logging messages to your runtime.\\\r\n[Documentation on logging in cjapy](./docs/logging.md)\r\n\r\n## Dependencies\r\n\r\nIn order to use this API in python, you would need to have those libraries installed :\r\n\r\n* pandas\r\n* requests\r\n* json\r\n* PyJWT\r\n* PyJWT[crypto]\r\n* pathlib\r\n* pytest\r\n\r\n## Test\r\n\r\nTBW\r\n\r\n## Others Sources\r\n\r\nYou can find information about the CJA API here :\r\n\r\n* [https://www.adobe.io/cja-apis/docs/api/]\r\n* [https://www.adobe.io/cja-apis/docs/use-cases/]\r\n\r\n[1]: https://www.datanalyst.info\r\n",
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