Skip to main content

a clone from the root project for Ryoma AI Platform – made compatible with Pydantic v2

Project description

Ryoma Nicer

A Pydantic v2–compatible fork of Ryoma AI Platform


Overview

Ryoma Nicer is a community-maintained fork of the Ryoma AI Platform designed to ensure compatibility with Pydantic v2. The original Ryoma provides an AI-powered data agent framework for seamless data analysis, engineering, and visualization. This fork:

  • Upgrades internal data models to use Pydantic v2 APIs
  • Preserves feature parity with the upstream Ryoma project
  • Offers a drop-in replacement package (ryoma-nicer) for users on Pydantic v2

For the original project, see project-ryoma/ryoma. Thanks to the upstream maintainers for their work!

Why This Fork?

Pydantic v2 introduced breaking changes in how models are defined and validated. Many projects, including Ryoma AI Platform, were tightly coupled to Pydantic v1. To allow developers to adopt the latest Pydantic improvements without sacrificing Ryoma functionality, this fork:

  1. Migrates all `` model definitions to the new BaseModel API in v2.
  2. Updates validation logic to leverage v2’s faster runtime and stricter type checks.
  3. **Releases under **`` as a PyPI package, ensuring it can be installed alongside Pydantic v2.

Installation

Install the Pydantic v2–compatible release from PyPI:

pip install ryoma-nicer

Optionally, include supported data source extras:

pip install "ryoma-nicer[snowflake,pyspark,postgres,sqlite,mysql,bigquery]"

Usage

The API surface and usage mirror the original Ryoma. For example, to run a simple SQL agent:

from ryoma_ai.agent.sql import SqlAgent
from ryoma_ai.datasource.postgres import PostgresDataSource

# Initialize data source
datasource = PostgresDataSource("postgresql://user:pass@host:5432/db")

# Create and run SQL agent
agent = SqlAgent("gpt-3.5-turbo").add_datasource(datasource)
agent.stream("SELECT count(*) FROM orders", display=True)

See the Ryoma Nicer documentation for full examples.

Contribution & Upstream

  • Forked from: project-ryoma/ryoma
  • Issue tracker & pull requests: Please use this repository to report Pydantic v2 compatibility issues or propose improvements.

License

This project is released under the Apache License 2.0.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

ryoma_nicer-0.3.8.tar.gz (2.6 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

ryoma_nicer-0.3.8-py3-none-any.whl (139.2 kB view details)

Uploaded Python 3

File details

Details for the file ryoma_nicer-0.3.8.tar.gz.

File metadata

  • Download URL: ryoma_nicer-0.3.8.tar.gz
  • Upload date:
  • Size: 2.6 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.3

File hashes

Hashes for ryoma_nicer-0.3.8.tar.gz
Algorithm Hash digest
SHA256 cf04eb6ffe16e2386574804ae86a8d746c20cbf2931962b5743bb43465916e7f
MD5 7f9c17577671dc55ace225e505923416
BLAKE2b-256 71b479c622406f30d14e1801c748b0d1dc0c8ccf76062dda4cc32eaa6f0e417a

See more details on using hashes here.

File details

Details for the file ryoma_nicer-0.3.8-py3-none-any.whl.

File metadata

  • Download URL: ryoma_nicer-0.3.8-py3-none-any.whl
  • Upload date:
  • Size: 139.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.3

File hashes

Hashes for ryoma_nicer-0.3.8-py3-none-any.whl
Algorithm Hash digest
SHA256 538793e0533ec711e6d3547c3493bd3db266d402c3eb82a807037f0d385f2fab
MD5 839cbeb5511067f5443f10a2de7b0b39
BLAKE2b-256 b39033a9bcc235e1c08dafc5ede6fb0cb93b0760bae14498cb03ecfdad0ef6ce

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page