Files
regorus/bindings/python/src/lib.rs
Anand Krishnamoorthi 35fb5d5953 Fix build break (#634)
* fix: update bindings and builtins for breaking dependency upgrades

- Update rand 0.10 API: use RngExt trait instead of removed Rng trait
- Update jsonschema 0.45 API: replace removed BasicOutput/apply with
  iter_errors for schema validation
- Update jni 0.22 API: migrate from deprecated JNIEnv to EnvUnowned
  with_env pattern, replace deprecated get_string/new_string/throw
  methods with their modern equivalents
- Update pyo3 0.28 API: replace removed PyObject with Py<PyAny>,
  deprecated downcast with cast, and removed with_gil with attach

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

* ci(dependabot): create per-dependency PRs for Cargo updates

Remove the groups.rust-dependencies catch-all group so Dependabot
opens a separate PR for each Cargo dependency update instead of
bundling them all into a single PR.

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

* fix: enable getrandom wasm_js feature for wasm32-unknown-unknown builds

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

* fix: address PR review comments

- Stream iter_errors directly into BTreeSet without intermediate Vec
- Use JNI_TRUE/JNI_FALSE for jboolean instead of bool coercion

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

---------

Signed-off-by: Anand Krishnamoorthi <anakrish@microsoft.com>
2026-03-27 12:34:49 -05:00

655 lines
20 KiB
Rust

// Copyright (c) Microsoft Corporation.
// Licensed under the MIT License.
use anyhow::{anyhow, Result};
use core::num::{NonZeroU32, NonZeroUsize};
use pyo3::exceptions::PyTypeError;
use pyo3::prelude::*;
use pyo3::types::*;
use pyo3::IntoPyObjectExt;
use std::collections::{BTreeMap, BTreeSet};
use ::regorus::languages::rego::compiler::Compiler;
use ::regorus::rvm::program::{
generate_assembly_listing, generate_tabular_assembly_listing, AssemblyListingConfig,
DeserializationResult, Program as RvmProgram,
};
use ::regorus::rvm::vm::{ExecutionMode, RegoVM};
use ::regorus::{compile_policy_with_entrypoint, PolicyModule, Rc, Value};
use std::sync::Arc;
/// Regorus engine.
#[pyclass(unsendable)]
pub struct Engine {
engine: ::regorus::Engine,
}
/// RVM program wrapper.
#[pyclass(unsendable)]
pub struct Program {
program: Arc<RvmProgram>,
}
/// RVM runtime wrapper.
#[pyclass(unsendable)]
pub struct Rvm {
vm: RegoVM,
}
impl Default for Engine {
fn default() -> Self {
Self::new()
}
}
fn from(ob: &Bound<'_, PyAny>) -> Result<Value, PyErr> {
// dicts
Ok(if let Ok(dict) = ob.cast::<PyDict>() {
let mut map = BTreeMap::new();
for (k, v) in dict {
map.insert(from(&k)?, from(&v)?);
}
map.into()
}
// set
else if let Ok(pset) = ob.cast::<PySet>() {
let mut set = BTreeSet::new();
for v in pset {
set.insert(from(&v)?);
}
set.into()
}
// frozen set
else if let Ok(pfset) = ob.cast::<PyFrozenSet>() {
//
let mut set = BTreeSet::new();
for v in pfset {
set.insert(from(&v)?);
}
set.into()
}
// lists and tuples
else if let Ok(plist) = ob.cast::<PyList>() {
let mut array = Vec::new();
for v in plist {
array.push(from(&v)?);
}
array.into()
} else if let Ok(ptuple) = ob.cast::<PyTuple>() {
let mut array = Vec::new();
for v in ptuple {
array.push(from(&v)?);
}
array.into()
}
// String
else if let Ok(s) = ob.extract::<String>() {
s.into()
}
// Boolean
else if let Ok(b) = ob.extract::<bool>() {
b.into()
}
// Numeric
else if let Ok(v) = ob.extract::<i64>() {
v.into()
} else if let Ok(v) = ob.extract::<u64>() {
v.into()
} else if let Ok(v) = ob.extract::<f64>() {
v.into()
}
// None
else if ob.cast::<PyNone>().is_ok() {
Value::Null
}
// Anything that is a sequence
else if let Ok(pseq) = ob.cast::<PySequence>() {
let mut array = Vec::new();
for i in 0..pseq.len()? {
array.push(from(&pseq.get_item(i)?)?);
}
array.into()
}
// Anything that is a map
else if let Ok(pmap) = ob.cast::<PyMapping>() {
let mut map = BTreeMap::new();
let keys = pmap.keys()?;
let values = pmap.values()?;
for i in 0..keys.len() {
let key = keys.get_item(i)?;
let value = values.get_item(i)?;
map.insert(from(&key)?, from(&value)?);
}
map.into()
} else {
return Err(PyErr::new::<PyTypeError, _>(
"object cannot be converted to RegoValue",
));
})
}
fn to(mut v: Value, py: Python<'_>) -> Result<Py<PyAny>> {
let obj = match v {
Value::Null => None::<u64>.into_bound_py_any(py),
// TODO: Revisit this mapping
Value::Undefined => None::<u64>.into_bound_py_any(py),
Value::Bool(b) => b.into_bound_py_any(py),
Value::String(s) => s.into_bound_py_any(py),
Value::Number(_) => {
if v.as_number()?.is_integer() {
if let Ok(u) = v.as_u64() {
u.into_bound_py_any(py)
} else {
v.as_i64()?.into_bound_py_any(py)
}
} else if let Ok(f) = v.as_f64() {
f.into_bound_py_any(py)
} else {
// fallback
v.as_f64()?.into_bound_py_any(py)
}
}
Value::Array(_) => {
let list = PyList::empty(py);
for v in std::mem::take(v.as_array_mut()?) {
list.append(to(v, py)?)?;
}
list.into_bound_py_any(py)
}
Value::Set(_) => {
let set = PySet::empty(py)?;
for v in std::mem::take(v.as_set_mut()?) {
set.add(to(v, py)?)?;
}
set.into_bound_py_any(py)
}
Value::Object(_) => {
let dict = PyDict::new(py);
for (k, v) in std::mem::take(v.as_object_mut()?) {
dict.set_item(to(k, py)?, to(v, py)?)?;
}
dict.into_bound_py_any(py)
}
};
match obj {
Ok(v) => Ok(v.into()),
Err(e) => Err(anyhow!("{e}")),
}
}
#[pymethods]
impl Engine {
/// Construct a new Engine
#[new]
pub fn new() -> Self {
Self {
engine: ::regorus::Engine::new(),
}
}
/// Turn on rego v0.
///
/// Regorus now defaults to v1.
///
/// * `enable`: Whether to enable/disable v0.
pub fn set_rego_v0(&mut self, enable: bool) {
self.engine.set_rego_v0(enable)
}
/// Add a policy
///
/// The policy is parsed into AST.
///
/// * `path`: A filename to be associated with the policy.
/// * `rego`: Rego policy.
pub fn add_policy(&mut self, path: String, rego: String) -> Result<String> {
self.engine.add_policy(path, rego)
}
/// Add a policy from given file.
///
/// The policy is parsed into AST.
///
/// * `path`: Path to the policy file.
pub fn add_policy_from_file(&mut self, path: String) -> Result<String> {
self.engine.add_policy_from_file(path)
}
/// Get the list of packages defined by loaded policies.
///
pub fn get_packages(&self) -> Result<Vec<String>> {
self.engine.get_packages()
}
/// Get the list of policies.
///
pub fn get_policies(&self) -> Result<String> {
Ok(serde_json::to_string_pretty(
&self.engine.get_policies_as_json()?,
)?)
}
/// Add policy data.
///
/// * `data`: Rego value. A Rego value is a number, bool, string, None
/// or a list/set/map whose items themselves are Rego values.
pub fn add_data(&mut self, data: &Bound<'_, PyAny>) -> Result<()> {
let data = from(data)?;
self.engine.add_data(data)
}
/// Add policy data.
///
/// * `data`: JSON encoded value to be used as policy data.
pub fn add_data_json(&mut self, data: String) -> Result<()> {
let data = Value::from_json_str(&data)?;
self.engine.add_data(data)
}
/// Add policy data from file.
///
/// * `path`: Path to JSON policy data.
pub fn add_data_from_json_file(&mut self, path: String) -> Result<()> {
let data = Value::from_json_file(path)?;
self.engine.add_data(data)
}
/// Clear policy data.
pub fn clear_data(&mut self) -> Result<()> {
self.engine.clear_data();
Ok(())
}
/// Set input.
///
/// * `input`: Rego value. A Rego value is a number, bool, string, None
/// or a list/set/map whose items themselves are Rego values.
pub fn set_input(&mut self, input: &Bound<'_, PyAny>) -> Result<()> {
let input = from(input)?;
self.engine.set_input(input);
Ok(())
}
/// Set input.
///
/// * `input`: JSON encoded value to be used as input to query.
pub fn set_input_json(&mut self, input: String) -> Result<()> {
let input = Value::from_json_str(&input)?;
self.engine.set_input(input);
Ok(())
}
/// Set input.
///
/// * `path`: Path to JSON input data.
pub fn set_input_from_json_file(&mut self, path: String) -> Result<()> {
let input = Value::from_json_file(path)?;
self.engine.set_input(input);
Ok(())
}
/// Evaluate query.
///
/// * `query`: Rego expression to be evaluate.
pub fn eval_query(&mut self, query: String, py: Python<'_>) -> Result<Py<PyAny>> {
let results = self.engine.eval_query(query, false)?;
let rlist = PyList::empty(py);
for result in results.result.into_iter() {
let rdict = PyDict::new(py);
let elist = PyList::empty(py);
for expr in result.expressions.into_iter() {
let edict = PyDict::new(py);
edict.set_item("value", to(expr.value, py)?)?;
edict.set_item("text", expr.text.as_ref())?;
let ldict = PyDict::new(py);
ldict.set_item("row", expr.location.row)?;
ldict.set_item("col", expr.location.col)?;
edict.set_item("location", ldict)?;
elist.append(edict)?;
}
rdict.set_item("expressions", elist)?;
rdict.set_item("bindings", to(result.bindings, py)?)?;
rlist.append(rdict)?;
}
let dict = PyDict::new(py);
dict.set_item("result", rlist)?;
Ok(dict.into())
}
/// Evaluate query. Returns result as JSON.
///
/// * `query`: Rego expression to be evaluate.
pub fn eval_query_as_json(&mut self, query: String) -> Result<String> {
let results = self.engine.eval_query(query, false)?;
serde_json::to_string_pretty(&results).map_err(|e| anyhow!("{e}"))
}
/// Evaluate rule.
///
/// * `rule`: Full path to the rule.
pub fn eval_rule(&mut self, rule: String, py: Python<'_>) -> Result<Py<PyAny>> {
to(self.engine.eval_rule(rule)?, py)
}
/// Evaluate rule and return value as json.
///
/// * `rule`: Full path to the rule.
pub fn eval_rule_as_json(&mut self, rule: String) -> Result<String> {
let v = self.engine.eval_rule(rule)?;
v.to_json_str()
}
/// Registers a custom Python function as a Rego extension.
///
/// This allows you to define functions in Python that can be called directly
/// from your Rego policies. The Python function will be called synchronously
/// during policy evaluation.
///
/// Arguments passed from Rego are automatically converted to their corresponding
/// Python types. The return value is converted back to a Rego value.
///
/// * `path`: Full path to the function as it will be used in Rego.
/// * `nargs`: The number of arguments the function expects.
/// * `extension`: The Python function to execute. Must accept exactly `nargs` arguments.
///
/// Note: When the engine is cloned, extensions share the same Python callable reference
/// rather than being deep-copied. Stateful callables will share state across clones.
pub fn add_extension(&mut self, path: String, nargs: u8, extension: Py<PyAny>) -> Result<()> {
Python::attach(|py| {
if !extension.bind(py).is_callable() {
return Err(anyhow!("extension '{}' must be callable", path));
}
Ok(())
})?;
let func_ref = Arc::new(extension);
let path_clone = path.clone();
let extension_impl = move |args: Vec<Value>| -> Result<Value, anyhow::Error> {
Python::attach(|py| {
let py_args_vec: Result<Vec<Py<PyAny>>> =
args.into_iter().map(|arg| to(arg, py)).collect();
let py_args = PyTuple::new(py, py_args_vec?)?;
let py_result = func_ref.call1(py, py_args).map_err(|e| {
anyhow!("extension '{}' raises Python error: {}", path_clone, e)
})?;
let rego_result = from(&py_result.into_bound(py))?;
Ok(rego_result)
})
};
self.engine
.add_extension(path, nargs, Box::new(extension_impl))
}
/// Set the policy length limits used when loading policies.
///
/// * `max_col`: Maximum column width per line.
/// * `max_file_bytes`: Maximum policy file size in bytes.
/// * `max_lines`: Maximum number of lines per policy file.
#[pyo3(signature = (*, max_col, max_file_bytes, max_lines))]
pub fn set_policy_length_config(
&mut self,
max_col: u32,
max_file_bytes: usize,
max_lines: usize,
) -> Result<()> {
self.engine
.set_policy_length_config(::regorus::PolicyLengthConfig {
max_col: NonZeroU32::new(max_col)
.ok_or_else(|| anyhow!("max_col must be non-zero"))?,
max_file_bytes: NonZeroUsize::new(max_file_bytes)
.ok_or_else(|| anyhow!("max_file_bytes must be non-zero"))?,
max_lines: NonZeroUsize::new(max_lines)
.ok_or_else(|| anyhow!("max_lines must be non-zero"))?,
});
Ok(())
}
/// Clear the policy length configuration, reverting to defaults.
pub fn clear_policy_length_config(&mut self) {
self.engine.clear_policy_length_config();
}
/// Enable code coverage
///
/// * `enable`: Whether to enable coverage or not.
pub fn set_enable_coverage(&mut self, enable: bool) {
self.engine.set_enable_coverage(enable)
}
/// Get coverage report as json.
///
#[cfg(feature = "coverage")]
pub fn get_coverage_report_as_json(&self) -> Result<String> {
let report = self.engine.get_coverage_report()?;
serde_json::to_string_pretty(&report).map_err(|e| anyhow!("{e}"))
}
/// Get coverage report as pretty printable string.
///
#[cfg(feature = "coverage")]
pub fn get_coverage_report_pretty(&self) -> Result<String> {
self.engine.get_coverage_report()?.to_string_pretty()
}
/// Clear coverage data.
///
#[cfg(feature = "coverage")]
pub fn clear_coverage_data(&mut self) {
self.engine.clear_coverage_data();
}
/// Gather print statements instead of printing to stderr.
///
pub fn set_gather_prints(&mut self, b: bool) {
self.engine.set_gather_prints(b)
}
/// Take gathered prints.
///
pub fn take_prints(&mut self) -> Result<Vec<String>> {
self.engine.take_prints()
}
/// Clone a [`Engine`]
///
/// To avoid having to parse same policy again, the engine can be cloned
/// after policies and data have been added.
fn clone(&self) -> Self {
Self {
engine: self.engine.clone(),
}
}
/// Get AST of policies.
///
#[cfg(feature = "ast")]
pub fn get_ast_as_json(&self) -> Result<String> {
self.engine.get_ast_as_json()
}
}
#[pymethods]
impl Program {
/// Compile an RVM program from modules and entry points.
#[staticmethod]
pub fn compile_from_modules(
data_json: String,
modules: Vec<(String, String)>,
entry_points: Vec<String>,
) -> Result<Self> {
if entry_points.is_empty() {
return Err(anyhow!("entry_points must contain at least one entry"));
}
let data = Value::from_json_str(&data_json)?;
let policy_modules: Vec<PolicyModule> = modules
.into_iter()
.map(|(id, content)| PolicyModule {
id: Rc::from(id.as_str()),
content: Rc::from(content.as_str()),
})
.collect();
let entry_points_ref: Vec<&str> = entry_points.iter().map(|s| s.as_str()).collect();
let entry_rule = Rc::from(entry_points_ref[0]);
let compiled = compile_policy_with_entrypoint(data, &policy_modules, entry_rule)?;
let program = Compiler::compile_from_policy(&compiled, &entry_points_ref)?;
Ok(Self { program })
}
/// Deserialize an RVM program from binary data.
#[staticmethod]
pub fn deserialize_binary(data: Vec<u8>) -> Result<(Self, bool)> {
let (program, is_partial) =
match RvmProgram::deserialize_binary(&data).map_err(|e: String| anyhow!(e))? {
DeserializationResult::Complete(program) => (program, false),
DeserializationResult::Partial(program) => (program, true),
};
Ok((
Self {
program: Arc::new(program),
},
is_partial,
))
}
/// Serialize a program to binary format.
pub fn serialize_binary(&self) -> Result<Vec<u8>> {
self.program
.serialize_binary()
.map_err(|e: String| anyhow!(e))
}
/// Generate a readable assembly listing.
pub fn generate_listing(&self) -> Result<String> {
Ok(generate_assembly_listing(
self.program.as_ref(),
&AssemblyListingConfig::default(),
))
}
/// Generate a tabular assembly listing.
pub fn generate_tabular_listing(&self) -> Result<String> {
Ok(generate_tabular_assembly_listing(
self.program.as_ref(),
&AssemblyListingConfig::default(),
))
}
}
impl Default for Rvm {
fn default() -> Self {
Self::new()
}
}
#[pymethods]
impl Rvm {
#[new]
pub fn new() -> Self {
Self { vm: RegoVM::new() }
}
/// Load an RVM program into the VM.
pub fn load_program(&mut self, program: &Program) -> Result<()> {
self.vm.load_program(program.program.clone());
Ok(())
}
/// Set data JSON for the VM.
pub fn set_data_json(&mut self, data_json: String) -> Result<()> {
let data = Value::from_json_str(&data_json)?;
self.vm.set_data(data)?;
Ok(())
}
/// Set input JSON for the VM.
pub fn set_input_json(&mut self, input_json: String) -> Result<()> {
let input = Value::from_json_str(&input_json)?;
self.vm.set_input(input);
Ok(())
}
/// Set execution mode (0 = run-to-completion, 1 = suspendable).
pub fn set_execution_mode(&mut self, mode: u8) -> Result<()> {
let mode = match mode {
0 => ExecutionMode::RunToCompletion,
1 => ExecutionMode::Suspendable,
_ => return Err(anyhow!("invalid execution mode")),
};
self.vm.set_execution_mode(mode);
Ok(())
}
/// Execute the program and return the JSON result.
pub fn execute(&mut self) -> Result<String> {
self.vm.execute()?.to_json_str()
}
/// Execute an entry point by name and return the JSON result.
pub fn execute_entry_point(&mut self, entry_point: String) -> Result<String> {
self.vm
.execute_entry_point_by_name(&entry_point)?
.to_json_str()
}
/// Resume execution with an optional JSON value.
pub fn resume(&mut self, resume_json: Option<String>) -> Result<String> {
let value = if let Some(json) = resume_json {
Some(Value::from_json_str(&json)?)
} else {
None
};
self.vm.resume(value)?.to_json_str()
}
/// Get the execution state as a string.
pub fn get_execution_state(&self) -> Result<String> {
Ok(format!("{:?}", self.vm.execution_state()))
}
}
/// Configure the global pattern caches used by `regex.*` and `glob.*` builtins.
///
/// * `regex`: Maximum cached compiled regex patterns (default 256, 0 = disabled).
/// * `glob`: Maximum cached compiled glob matchers (default 128, 0 = disabled).
#[cfg(feature = "cache")]
#[pyfunction]
#[pyo3(signature = (*, regex = 256, glob = 128))]
fn set_cache_config(regex: usize, glob: usize) {
::regorus::cache::configure(::regorus::cache::Config { regex, glob });
}
/// Clear all entries from every pattern cache.
#[cfg(feature = "cache")]
#[pyfunction]
fn clear_cache() {
::regorus::cache::clear();
}
#[pymodule]
pub fn regorus(_py: Python<'_>, m: &Bound<'_, PyModule>) -> PyResult<()> {
m.add_class::<crate::Engine>()?;
m.add_class::<crate::Program>()?;
m.add_class::<crate::Rvm>()?;
#[cfg(feature = "cache")]
{
m.add_function(wrap_pyfunction!(set_cache_config, m)?)?;
m.add_function(wrap_pyfunction!(clear_cache, m)?)?;
}
Ok(())
}