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Developing

Requirements

  • Python 3.11 (Download)

  • poetry (Download)

  • wkhtmltopdf (used to generate PDF reports)

    • Windows: (Download)

    • Linux: sudo apt-get install wkhtmltopdf

    • MacOS: brew install homebrew/cask/wkhtmltopdf

Running the app

GPT settings

You can configure your OpenAI access when running the app via Settings page, or using environment variables.

Default values:

OPENAI_API_MODEL="gpt-4o"
OPENAI_TYPE="OpenAI" ## Other option available: Azure OpenAI
AZURE_AUTH_TYPE="Azure Key" # if OPENAI_TYPE==Azure OpenAI
DEFAULT_EMBEDDING_MODEL = "text-embedding-ada-002"

OpenAI

OPENAI_API_KEY=<OPENAI_API_KEY>

Azure OpenAI

OPENAI_TYPE="Azure OpenAI"
AZURE_OPENAI_VERSION=2023-12-01-preview
AZURE_OPENAI_ENDPOINT="https://<ENDPOINT>.azure.com/"
OPENAI_API_KEY=<AZURE_OPENAI_API_KEY>

#If Azure OpenAI using Managed Identity:
AZURE_AUTH_TYPE="Managed Identity"

Running locally

Windows: Search and open the app Windows Powershell on Windows start menu

Linux and Mac: Open Terminal

For any OS:

Navigate to the folder where you cloned this repo.

Use cd + the path to the folder. For example:

cd C:\Users\user01\projects\intelligence-toolkit

Run poetry install and wait for the packages installation.

Run the app:

Run poetry run poe run_streamlit, and it will automatically open the app in your default browser in localhost:8081

Use the API

You can also replicate the examples in your own environment running pip install intelligence-toolkit.

See the documentation and an example of how to run the code with your data to obtain results without the need to run the UI.

Running with docker

Recommended configuration:
  • Minimum disk space: 8GB
  • Minimum memory: 4GB

Download, install and then open docker app: https://www.docker.com/products/docker-desktop/

Then, open a terminal: Windows: Search and open the app Windows Powershell on Windows start menu

Linux and Mac: Open Terminal

For any OS:

Navigate to the folder where you cloned this repo.

Use cd + the path to the folder. For example:

cd C:\Users\user01\projects\intelligence-toolkit

Build the container:

docker build . -t intelligence-toolkit

Once the build is finished, run the docker container:

  • via terminal:

    docker run -d --name intelligence-toolkit -p 80:80 intelligence-toolkit

Open localhost:80

Note that docker might sleep and you might need to start it again. Open Docker Desktop, in the left menu click on Container and press play on intelligence-toolkit.

Lifecycle Scripts

For Lifecycle scripts it utilizes Poetry and poethepoet to manage build scripts.

Available scripts are:

  • poetry run poe test_unit - This will execute unit tests on api.
  • poetry run poe test_smoke - This will execute smoke tests on api.
  • poetry run poe check - This will perform a suite of static checks across the package, including:
    • formatting
    • documentation formatting
    • linting
    • security patterns
    • type-checking
  • poetry run poe fix - This will apply any available auto-fixes to the package. Usually this is just formatting fixes.
  • poetry run poe fix_unsafe - This will apply any available auto-fixes to the package, including those that may be unsafe.
  • poetry run poe format - Explicitly run the formatter across the package.