mirror of https://github.com/microsoft/regorus.git synced 2026-08-05 02:16:11 +00:00

Files

Anand Krishnamoorthi 4a2df93ae2 fix!: Remove sha1 dependency (#379 )

Removed cryptographically insecure sha1. This existed only for OPA
compatibility.

Also exclude bindings from main workspace

Signed-off-by: Anand Krishnamoorthi <anakrish@microsoft.com>

2025-03-13 12:34:11 -07:00

src

feat: Update to OPA v1.2.0 (#373 )

2025-03-10 11:56:01 -07:00

.python-version

Python bindings (#115 )

2024-01-28 14:39:59 -08:00

building.md

Document bindings (#119 )

2024-02-01 13:47:27 -08:00

Cargo.toml

fix!: Remove sha1 dependency (#379 )

2025-03-13 12:34:11 -07:00

CHANGELOG.md

Revert "chore: release v0.2.0 (#257 )" (#258 )

2024-05-30 06:09:47 -07:00

pyproject.toml

Python bindings (#115 )

2024-01-28 14:39:59 -08:00

README.md

Update bindings to include newer APIs (#250 )

2024-05-25 10:24:06 -07:00

test_extensions.py

add extension_list example (#281 )

2024-07-16 11:08:37 +05:30

test.py

feat: Update to OPA v1.2.0 (#373 )

2025-03-10 11:56:01 -07:00

README.md

regorus

Regorus is

Rego-Rus(t) - A fast, light-weight Rego interpreter written in Rust.
Rigorous - A rigorous enforcer of well-defined Rego semantics.

Regorus can be used in Python via regorus package. (It is not yet available in PyPI, but can be manually built.)

See Repository.

To build this binding, see building

Usage

import regorus

# Create engine
engine = regorus.Engine()

# Load policies
engine.add_policy_from_file('../../tests/aci/framework.rego')
engine.add_policy_from_file('../../tests/aci/api.rego')
engine.add_policy_from_file('../../tests/aci/policy.rego')

# Add policy data
data = {
  "metadata": {
    "devices": {
      "/run/layers/p0-layer0": "1b80f120dbd88e4355d6241b519c3e25290215c469516b49dece9cf07175a766",
      "/run/layers/p0-layer1": "e769d7487cc314d3ee748a4440805317c19262c7acd2fdbdb0d47d2e4613a15c",
      "/run/layers/p0-layer2": "eb36921e1f82af46dfe248ef8f1b3afb6a5230a64181d960d10237a08cd73c79",
      "/run/layers/p0-layer3": "41d64cdeb347bf236b4c13b7403b633ff11f1cf94dbc7cf881a44d6da88c5156",
      "/run/layers/p0-layer4": "4dedae42847c704da891a28c25d32201a1ae440bce2aecccfa8e6f03b97a6a6c",
      "/run/layers/p0-layer5": "fe84c9d5bfddd07a2624d00333cf13c1a9c941f3a261f13ead44fc6a93bc0e7a"
    }
  }
}
engine.add_data(data)

# Set input
input = {
  "containerID": "container0",
  "layerPaths": [
    "/run/layers/p0-layer0",
    "/run/layers/p0-layer1",
    "/run/layers/p0-layer2",
    "/run/layers/p0-layer3",
    "/run/layers/p0-layer4",
    "/run/layers/p0-layer5"
  ],
  "target": "/run/gcs/c/container0/rootfs"
}
engine.set_input(input)

# Eval rule
value = engine.eval_rule('data.framework.mount_overlay')

# Print value
print(value)