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.
Metadata
Release files for ol-anura 2.8.21.7
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| ol_anura-2.8.21.7.tar.gz | 277.5 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| ol_anura-2.8.21.7-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 837.3 kB
Release files / ol_anura-2.8.21.7.tar.gz
| Download URL | ol_anura-2.8.21.7.tar.gz |
|---|---|
| Size | 277.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
64f9dbee5a963fe10bf041a5e60f1b340a17515c4659556a7b3b2e6bc7279338
|
|
BLAKE2b-256 checksum How to use checksums |
9e3436b3406e0695205d2c528ccede3576d4e575ddf91830d8d0c186f1c0c653
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.11.17
|
Release files / ol_anura-2.8.21.7-py3-none-any.whl
| Download URL | ol_anura-2.8.21.7-py3-none-any.whl |
|---|---|
| Size | 559.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
18495a31f2b91dccd08bdd297462031e2d43290de96d6e73db9cf105cc6ed7b0
|
|
BLAKE2b-256 checksum How to use checksums |
c25da0906611f65e438aaeed3f4f3e2d6e6ade19ec27f91d9899a68fd6c621b1
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.11.17
|
Security for ol-anura 2.8.21.7
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.