| Name | supersullytools JSON |
| Version |
14.1.0
JSON |
| download |
| home_page | None |
| Summary | This is a Python package that brings together a suite of utilities and helpers across several domains of software development. |
| upload_time | 2025-02-11 21:26:34 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.10 |
| license | The MIT License (MIT) Copyright © 2023 <copyright holders> Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the “Software”), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. |
| keywords |
streamlit
dynamodb
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
SuperSully Tools
================
**Latest Version:** 14.1.0
**SuperSullyTools** is a personal Python toolkit for prototyping and proof-of-concept development. It includes various utilities and helpers that I use when building projects, mostly in Python and Streamlit.
This library isn’t necessarily designed for others to use directly, but there are plenty of useful pieces that might serve as inspiration—or be worth borrowing for your own projects.
## Some modules contained within...
### `supersullytools.gcalendar_access`
Provides a convenience wrapper for interacting with Google Calendar via the v3 API. Supports authentication, listing calendars, retrieving events, adding and updating events, and handling time zones seamlessly. Useful for automating calendar tasks and integrating with scheduling workflows.
### `supersullytools.utils.fuzzy_finder`
Implements fuzzy searching with Levenshtein distance to match and rank similar strings in a collection. Supports customizable scoring for insertions, deletions, and substitutions. Includes tools for ranking search results, handling structured objects, and efficiently retrieving the most relevant matches. Ideal for building intelligent search features and improving text-based lookups.
### `supersullytools.utils.media_manager`
Manages media files stored in Amazon S3 with metadata in DynamoDB. Supports uploading, retrieving, preview generation, and deletion of media files. Includes optional gzip compression and encryption for efficient and secure storage. Useful for handling images, audio, video, PDFs, and other file types in cloud-based applications.
### `supersullytools.utils.reminder_templates`
Provides a lightweight templating system for generating date-based reminders. Supports placeholders like `{current_year}`, `{age(YYYY-MM-DD)}`, `{years_since(YYYY-MM-DD)}`, and `{days_until(YYYY-MM-DD)}`. Useful for dynamically inserting calculated dates in reminder messages.
### `supersullytools.streamlit.paginator`
Implements a simple paginator for Streamlit applications, allowing users to navigate through lists of items efficiently. Supports both numeric and named items, optional keypress navigation, and customizable item actions. Useful for displaying and interacting with paginated content in Streamlit apps.
### `supersullytools.llm`
Contains tools for working with large language models (LLMs). Includes a generic completion interface compatible with AWS Bedrock, Ollama, and OpenAI, along with a custom agent for experimenting with AI-driven workflows. Designed for flexible AI integration and testing various agent-based interactions.
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