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-0.4.2.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-0.4.2-py3-none-any.whl (139.6 kB view details)

Uploaded Python 3

File details

Details for the file ryoma_nicer-0.4.2.tar.gz.

File metadata

  • Download URL: ryoma_nicer-0.4.2.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-0.4.2.tar.gz
Algorithm Hash digest
SHA256 9e1e56fce2ca9ddb525167bc5f7e9f25fa4714dc2747c3aef8b975abdfae0e81
MD5 e1e211e337456ba37e8ecabeab91f830
BLAKE2b-256 74b79c569ce34bd03936434b26b140a5175bef0cbc7c7af8fe0d656c6057b410

See more details on using hashes here.

File details

Details for the file ryoma_nicer-0.4.2-py3-none-any.whl.

File metadata

  • Download URL: ryoma_nicer-0.4.2-py3-none-any.whl
  • Upload date:
  • Size: 139.6 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-0.4.2-py3-none-any.whl
Algorithm Hash digest
SHA256 cf582b6ac668c2ec50b19de1df08d94e0c4b0d06a7527faaff308718b315c930
MD5 8b060f399017b5dc524db8745ea7b02b
BLAKE2b-256 a9ccfe8b14b6697e6aa61da4777558971dd011a58e3128b44db54b66e958418c

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