Skip to main content

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.

Release files for ol-anura 2.8.20.12

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for ol-anura 2.8.20.12
File Size Uploaded
ol_anura-2.8.20.12.tar.gz 270.7 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for ol-anura 2.8.20.12
File Interpreter ABI Platform
ol_anura-2.8.20.12-py3-none-any.whl Python 3 none any Details

Total release size: 822.0 kB

Release files / ol_anura-2.8.20.12.tar.gz

Download URL ol_anura-2.8.20.12.tar.gz
Size 270.7 kB
Tags Source
SHA-256 checksum
How to use checksums
788c650685afc0b389aa2180b44983b635e69d5a6f44c077f8292f2c2c5ca2ed
BLAKE2b-256 checksum
How to use checksums
30ba68ca7c876e188aa437e3ba4f2388328bffb313b58968985eab28ddcbd449
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.11.16

Release files / ol_anura-2.8.20.12-py3-none-any.whl

Download URL ol_anura-2.8.20.12-py3-none-any.whl
Size 551.3 kB
Tags Python 3
SHA-256 checksum
How to use checksums
619e88cb760d92a178a41b3b9da977e7534e7390fdcd04fc56a34b2c9c918a4f
BLAKE2b-256 checksum
How to use checksums
9ba5d148b262cd464d50c1f3c2ed5bfd54876b6956d67fd7e86274fccdf3a1e8
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.11.16

Release history Release notifications | RSS feed

2.9.0

2 release files

This release

2.8.20.12 This release

2 release files

1.2.4

2 release files

1.2.3

2 release files

1.2.2

2 release files

1.2.1

2 release files

1.2.0

2 release files

1.1.0

2 release files

1.0.8

2 release files

1.0.7

2 release files

1.0.6

2 release files

1.0.5

2 release files

1.0.4

2 release files

1.0.3

2 release files

1.0.2

2 release files

1.0.1

2 release files

1.0.0

2 release files

0.0.11

2 release files

0.0.10

2 release files

0.0.9

2 release files

0.0.8

2 release files

0.0.7

2 release files

0.0.6

2 release files

0.0.5

2 release files

0.0.4

2 release files

0.0.3

2 release files

0.0.2

2 release files

0.0.1

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page