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Pre-release

This release is a pre-release and may not be stable for production use.

ol-anura

The supply chain optimization data model for Optilogic's CosmicFrog platform — table and column definitions, data types, validation rules, and per-technology support matrices, exposed through a typed, read-only Python API.

  • Distribution name: ol-anura (PyPI) — import name: ol_anura
  • Python 3.11+ · single runtime dependency (pydantic>=2) · fully typed (py.typed) · MIT license

Install

pip install ol-anura

Quickstart

The public entry point is the AnuraSchema facade. All methods are static — do not instantiate it. Results are cached, so repeated calls are fast.

from ol_anura import AnuraSchema

# Discover tables
all_tables = AnuraSchema.get_all_table_names()
input_tables = AnuraSchema.get_input_table_names()
output_tables = AnuraSchema.get_output_table_names()

# Inspect a table
columns = AnuraSchema.get_columns("Facilities")
primary_keys = AnuraSchema.get_primary_keys("Facilities")
metadata = AnuraSchema.get_table_metadata("Facilities")

# Filter by technology support
neo_tables = AnuraSchema.get_fully_supported_tables("neo")
supported = AnuraSchema.get_supported_tables("neo", include_in_development=True)

# Full engine-facing schema views
engine_schema = AnuraSchema.get_engine_schema("neo")
engine_dict = AnuraSchema.export_engine_schema_to_dict("neo")

# Relationships and validations
master_tables = AnuraSchema.get_master_tables("CustomerDemand", "CustomerName")
validations = AnuraSchema.get_table_validations("Facilities")

Table and column names are case-insensitive in most methods.

Concepts

Tables and columns are Pydantic models (ol_anura.core.Table / ol_anura.core.Column). The canonical instances returned by the API are shared — treat them as read-only.

Technologies are the optimization engines that may consume a table: NEO, THROG, TRIAD, HOPPER, DART, DENDRO, CYCLO. Support is declared per column at one of three levels (unsupported, in-development, fully-supported) and rolled up to the table level automatically.

Released vs. in-development: every table and column carries a released flag. Query functions default to released content; pass the released parameter where available to include in-development definitions.

from ol_anura import Technology, TechnologySupport, DataType, Category
from ol_anura.core import Table, Column, TableName

Advanced usage

AnuraSchema is a facade over the underlying query modules; new code can also import ol_anura.query functions directly. A set of deprecated compatibility methods (e.g. get_schema_dict) exists for consumers migrating from the legacy internal anura package — avoid them in new code.

Support

Maintained by Optilogic. Issues and questions: contact your Optilogic representative or visit optilogic.com.

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