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

Files

Anand Krishnamoorthi 9e43bd9878 fix!: Remove cryptographic builtins (#396 )

Cryptographic builtins are removed due to various reasons like FIPS
compliance. Users needing crypto builtins are encouraged to use
extensions.

Deprecated functions are also removed.

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

2025-04-16 12:24:19 -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.lock

fix!: Remove cryptographic builtins (#396 )

2025-04-16 12:24:19 -07:00

Cargo.toml

build: Python binding portability (#388 )

2025-04-07 13:18:01 -07:00

CHANGELOG.md

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

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

pyproject.toml

build: Python binding portability (#388 )

2025-04-07 13:18:01 -07:00

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)