cdc-uploading-tool

This is a Flask-based web application designed as a plugin for SAP Customer Data Cloud (CDC), offering additional features.

Table of Contents

• Setup Instructions
• Usage
• Screenshots
• License

Setup Instructions

After cloning the repository, follow these steps to set up the project:

1. Set up local environment:

   • Download and install JetBrains PyCharm IDE or your preferred IDE.
   • The following instructions will focus on PyCharm, but most IDEs provide similar features.

2. Open the project:

   • In PyCharm, navigate to File -> Open and select the cloned repository folder.

3. Set Up a local virtual environment:

   • Go to Settings > Project: finance-gpt > Python Interpreter > Add Interpreter.
   • Choose Add Local Interpreter > Virtualenv Environment.
     1. Select Environment -> New.
     2. Set Base Interpreter to your installed Python version (e.g., Python 3.x).
     3. Click OK.

4. Install dependencies:

   • Install required dependencies by running the following command in terminal through IDE:

     pip install -r requirements.txt

   • If AI language translation is required through SAP Gen AI Hub, run following command:

     pip install "generative-ai-hub-sdk[all]==1.2.2" --extra-index-url https://int.repositories.cloud.sap/artifactory/api/pypi/proxy-deploy-releases-hyperspace-pypi/simple/

   • If you prefer to connect directly to the LLM via OpenAI instead of using the SAP proxy, you can skip the installation of generative-ai-hub-sdk and install required LangChain libraries instead.

5. Local configuration setup: In properties.yml, set SAP Gen AI hub credentials or OpenAI key (if AI based language translation is required)

6. Run the Application:

   python app.py

7. Access the user interface: Open your web browser and navigate to http://localhost:5001/ (or the appropriate port if different).

Usage

• Once the application is running, you can use various features from interactive UI.
• To access Swagger UI, go to http://localhost:5001/ui

Screenshots

Here are some screenshots showcasing working deployments of the application.

• Home page:

• Set configuration credentials:

• Filled template downloaded from Template Creation page:

• Upload Excel page:

• Response for uploaded data, with success as well as error scenarios:

• Excel exported for upload response data:

• Generative AI based language translation:

License

This project is licensed under the MIT License. See the LICENSE file for more details.