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

Files

Anand Krishnamoorthi de56cce7cb Fix anyhow dependency issues (#208 )

- Do not require backtrace feature
- Starting version 1.0.77, anyhow gathers backtrace is std feature (enabled by default)
  is specified even if backtrace feature is not enabled.
  Therefore specify default features as false.
- Specify version 1.0.45 since that is the minimul version required to successfully
  compile regorus

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

2024-04-20 09:57:52 -07:00

src

Document bindings (#119 )

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

.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 anyhow dependency issues (#208 )

2024-04-20 09:57:52 -07:00

CHANGELOG.md

chore: release (#121 )

2024-02-01 16:16:33 -08:00

pyproject.toml

Python bindings (#115 )

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

README.md

Document bindings (#119 )

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

test.py

Document bindings (#119 )

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

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 query
results = engine.eval_query('data.framework.mount_overlay=x')

# Print results
print(results['result'][0])

# Eval query as json
results_json = engine.eval_query_as_json('data.framework.mount_overlay=x')
print(results_json)