UIS Sprint Report

UIS Sprint Report is a command-line tool designed to generate detailed reports for sprint activities, manage sprint-related data through embeddings, and interact via a chat interface, specifically tailored for University Information Services.

Installation

To install UIS Sprint Report, you can use pip:

pip install uis-sprint-report

Ensure that the Ollama local model server is running and that you have downloaded the necessary models locally before running this command-line tool.

Usage

The tool is intended to be run with various commands based on the required operation: generating reports, creating PowerPoint presentations of sprint goals, or engaging in an interactive chat to query sprint statuses.

Command-Line Interface

uis-sprint-report --access-token "YOUR_TOKEN" --command "pptx" --sprint-goals "Goal 1; Goal 2" --iteration-id=952

Input Parameters

• --api-base (str): Base URL for API access. Default is "https://gitlab.developers.cam.ac.uk/".
• --access-token (str): Access token for API authentication.
• --command (str): Command to execute. Options are "report", "pptx", or "chat".
• --group-id (int): GitLab group ID. Default is 5.
• --iteration-id (int): Iteration ID within the group. Default is 383.
• --labels (str): Labels to filter the issues. Default is "team::Identity".
• --model (str): Ollama model to use. Default is "mistral:latest".
• --cache-file (str): Path to the cache file. Default is ".cache".
• --chunk-size (int): Size of the text chunks for processing. Default is 500.
• --chunk-overlap (int): Overlap between text chunks. Default is 0.
• --max-tokens (int): Maximum tokens for model inference. Default is 1500.
• --sprint-goals (str): Description of sprint goals.
• --pptx-file (str): Path for saving the generated PowerPoint file. Default is "sprint_goals.pptx".
• --max-attempts (int): Maximum attempts for generating a response. Default is 5.

Commands

• report: Generates a report detailing the sprint activities.
• pptx: Creates a PowerPoint presentation based on sprint activities and goals.
• chat: Starts an interactive chat session for querying sprint data.

Each command initializes the ChatOllama model with the specified model and max_tokens, then executes the function corresponding to the command.

Features

• Integrated report generation from GitLab issues.
• PowerPoint presentation creation for sprint reviews.
• Interactive chat functionality for live sprint data querying.
• Supports local execution with Ollama models for enhanced data privacy and control.

Contributing

Contributions, issues, and feature requests are welcome! Feel free to check the issues page.

License

This project is licensed under the MIT License.