https://github.com/gkamboj/cdc-uploading-tool
Flask web application - SAP Customer Data Cloud (CDC) plugin to provide add-on features.
https://github.com/gkamboj/cdc-uploading-tool
csv-export flask genai-hub langchain openai python rag sap-cdc
Last synced: 3 months ago
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Flask web application - SAP Customer Data Cloud (CDC) plugin to provide add-on features.
- Host: GitHub
- URL: https://github.com/gkamboj/cdc-uploading-tool
- Owner: gkamboj
- License: mit
- Created: 2024-12-28T14:55:53.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-12-28T20:24:07.000Z (over 1 year ago)
- Last Synced: 2025-01-06T20:58:49.942Z (over 1 year ago)
- Topics: csv-export, flask, genai-hub, langchain, openai, python, rag, sap-cdc
- Language: HTML
- Homepage:
- Size: 36.1 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# 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](#setup-instructions)
- [Usage](#usage)
- [Screenshots](#screenshots)
- [License](#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:
```bash
pip install -r requirements.txt
```
- If AI language translation is required through SAP Gen AI Hub, run following command:
```bash
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**:
```bash
python app.py
```
7. **Access the user interface**:
Open your web browser and navigate to [http://localhost:5001/](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](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.