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

Files

Jie Yang fb5151e0e4 add extension_list example (#281 )

- Created an example of extension policy
- Added C# binding support of .NET framework 4.0 and created a Nuget
  spec for it.
- Added a pytest in python bindings to test the extension policy and the
  python binding
- Restructured the example and Csharp binding directories due to above
  changes.
- Added copyrights.
- Added a Windows workflow for .NET 4.0 build and test.

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

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 pyo3 requirement from 0.21.0 to 0.22.0 (#275 )

2024-07-01 09:51:50 +05:30

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)