Files
regorus/bindings/python
Anand Krishnamoorthi fc09802bfb deps: Update dependencies across all Cargo.toml files and ignore .sln files (#450)
Dependencies updated:
- cc: 1.2.29 -> 1.2.31
- chrono-tz: 0.10.3 -> 0.10.4
- clap: 4.5.40 -> 4.5.42
- clap_builder: 4.5.40 -> 4.5.42
- clap_derive: 4.5.40 -> 4.5.41
- phf: 0.11.3 -> 0.12.1
- phf_shared: 0.11.3 -> 0.12.1
- rand: 0.9.1 -> 0.9.2
- rb-sys: 0.9.116 -> 0.9.117
- rb-sys-build: 0.9.116 -> 0.9.117
- redox_syscall: 0.5.13 -> 0.5.17
- rustix: 1.0.7 -> 1.0.8
- serde_json: 1.0.140 -> 1.0.142
- windows-targets: 0.53.2 -> 0.53.3
- winnow: 0.7.11 -> 0.7.12

Removed obsolete build dependencies:
- chrono-tz-build, parse-zoneinfo, phf_codegen, phf_generator, rand_core

Updated in: main, ffi, java, python, ruby, and wasm bindings
Added *.sln to .gitignore to exclude Visual Studio solution files

Also fix python publishing pipeline by removing non-existent dependency.

Signed-off-by: Anand Krishnamoorthi <anakrish@microsoft.com>
2025-08-04 19:56:27 -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)