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

Files

Anand Krishnamoorthi 6174af1781 Update dependencies (#369 )

Specify `js` feature for `uuid` when building wasm by
specifying it as a non-optional dependency in wasm binding's Cargo.toml.

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

2025-03-03 15:53:47 -08:00

src

feat: get_policies: Way to obtain policy files and content (#267 )

2024-06-19 00:01:55 -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

Update dependencies (#369 )

2025-03-03 15:53:47 -08:00

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

Update bindings to include newer APIs (#250 )

2024-05-25 10:24:06 -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)