02-setup-python-environment.md

Setup SAP Business Application Studio and a dev space

SAP Business Application Studio is based on Code-OSS, an open source project used for building Visual Studio Code. Available as a cloud service, SAP Business Application Studio provides a desktop-like experience similar to leading IDEs, with command line and optimized editors.

At the heart of SAP Business Application Studio are the dev spaces. The dev spaces are comparable to isolated virtual machines in the cloud containing tailored tools and preinstalled runtimes per business scenario, such as SAP Fiori, SAP S/4HANA extensions, Workflow, Mobile and more. This simplifies and speeds up the setup of your development environment, enabling you to efficiently develop, test, build, and run your solutions locally or in the cloud.

Open SAP Business Application Studio

👉 Go back to your BTP cockpit.

👉 Navigate to Instances and Subscriptions and open SAP Business Application Studio.

Create a new Dev Space for CodeJam exercises

👉 Create a new Dev Space.

👉 Enter the name of the Dev space GenAICodeJam, select the Basic kind of application and Python Tools from Additional SAP Extensions.

👉 Click Create Dev Space.

You should see the dev space STARTING.

👉 Wait for the dev space to get into the RUNNING state and then open it.

Clone the exercises from the Git repository

👉 Once you opened your dev space in BAS, use one of the available options to clone this Git repository with exercises using the URL below:

https://github.com/SAP-samples/generative-ai-codejam.git

👉 Click Open to open a project in the Explorer view.

Open the Workspace

The cloned repository contains a file codejam.code-workspace and therefore you will be asked, if you want to open it.

👉 Click Open Workspace.

☝️ If you missed the previous dialog, you can go to the BAS Explorer, open the codejam.code-workspace file, and click Open Workspace.

You should see:

• CODEJAM as the workspace at the root of the hierarchy of the project, and
• generative-ai-codejam as the name of the top level folder.

👉 You can close the Get Started tab.

Configure the connection to Generative AI Hub

👉 Go back to your BTP cockpit.

👉 Navigate to Instances and Subscriptions and open the SAP AI Core instance's service key.

👉 Click Copy JSON.

👉 Return to BAS and create a new file .aicore-config.json in the generative-ai-codejam/ directory.

👉 Paste the service key into generative-ai-codejam/.aicore-config.json, which should look similar to the following.

{
    "serviceurls": {
      "AI_API_URL": "https://api.ai.prod.us-east-1.aws.ml.hana.ondemand.com"
    },
    "appname": "e9ff8604-ba8e-4322-91e4-c5550722de44!b305299|aicore!b164",
    "clientid": "sb-e9ff8604-ba8e-4322-91e4-c5550722de44!b305299|aicore!b164",
    "clientsecret": "",
    "identityzone": "cap-ai-codejam-op6zhda1",
    "identityzoneid": "6088766d-dcc4-4e56-972f-652baad796be",
    "url": "https://cap-ai-codejam-op6zhda1.authentication.us10.hana.ondemand.com"
  }

Create a virtual environment and install the Python SDK for Generative AI Hub

👉 Start a new Terminal.

👉 Create a virtual environment using the following command:

python3 -m venv ~/projects/generative-ai-codejam/env --upgrade-deps

👉 Activate the env virtual environment like this and make sure it is activated:

source ~/projects/generative-ai-codejam/env/bin/activate

👉 Install the Generative AI Hub Python SDK (and the other packages listed below) using the following pip install commands OR you can have a look at the requirements.txt file and simply run pip install -r requirements.txt.

pip install --require-virtualenv generative-ai-hub-sdk[all]

👉 We will also need the HANA client for Python.

pip install --require-virtualenv hdbcli

👉 We will also need the SciPy package.

pip install --require-virtualenv scipy

👉 We will also need the pydf package.

pip install --require-virtualenv pypdf

From now on the exercises continue in BAS.

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