Files
regorus/bindings/python
Anand Krishnamoorthi 130f9685fd feat: Updates for Policy Framework (#405)
- Documentation
  - Regorus Engine is intended to be used from a single thread
  - Clone the engine after adding policies and data to use from another thread

- Builtin errors strictness:
  - default to less strict for OPA compatibility
  - Provide API to change strictness

- Expose GetAstAsJson to C#,
  This can allow writing policy validations in C#.

- Use spectre mitigated msvc crt libs (binskim compliance)

- Update dependencies

fixes #404

Signed-off-by: Anand Krishnamoorthi <anakrish@microsoft.com>
2025-04-30 15:33:40 -05:00
..
2025-03-10 11:56:01 -07:00
2024-01-28 14:39:59 -08:00
2024-02-01 13:47:27 -08:00
2025-03-10 11:56:01 -07:00

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)