Enasis Network Chatting Robie

This project has not released its first major version.

Barebones service for connecting to multiple upstream chat networks.

Documentation

Read project documentation built using the Sphinx project. Should you venture into the sections below you will be able to use the sphinx recipe to build documention in the sphinx/html directory.

Installing the package

Installing stable from the PyPi repository

pip install enrobie

Installing latest from GitHub repository

pip install git+https://github.com/enasisnetwork/enrobie

Running the service

There are several command line arguments, see them all here.

python -m enrobie.execution.service --help

Here is an example of running the service from inside the project folder within the Workspace project.

python -m enrobie.execution.service \
  --config ../../Persistent/enrobie-prod.yml \
  --console \
  --debug \
  --print_command

Replace ../../Persistent/enrobie-prod.yml with your configuration file.

Using the Ainswer plugin

These dependencies are not automatically installed but are required when using the new AinswerPlugin. Install the following when using that.

• pydantic-ai-slim
• pydantic-ai-slim[anthropic]
• pydantic-ai-slim[openai]

Deploying the service

It is possible to deploy the project with the Ansible roles located within the Orchestro project! Below is an example of what you might run from that project to deploy this one. However there is a bit to consider here as this requires some configuration.

make -s \
  stage=prod limit=all \
  ansible_args=" --diff" \
  enrobie-install

Or you may use the Ansible collection directly! GitHub, Galaxy

Quick start for local development

Start by cloning the repository to your local machine.

git clone https://github.com/enasisnetwork/enrobie.git

Set up the Python virtual environments expected by the Makefile.

make -s venv-create

Execute the linters and tests

The comprehensive approach is to use the check recipe. This will stop on any failure that is encountered.

make -s check

However you can run the linters in a non-blocking mode.

make -s linters-pass

And finally run the various tests to validate the code and produce coverage information found in the htmlcov folder in the root of the project.

make -s pytest

Version management

⚠️ Ensure that no changes are pending.

1. Rebuild the environment.

   make -s check-revenv
   

2. Update the version.txt file.

3. Push to the main branch.

4. Create repository release.

5. Build the Python package.
   Be sure no uncommited files in tree.

   make -s pypackage
   

6. Upload Python package to PyPi test.

   make -s pypi-upload-test
   

7. Upload Python package to PyPi prod.

   make -s pypi-upload-prod