- Introduce ExecutionTimer/ExecutionTimerConfig to allow limiting evaluating time.
- To amortize time checking costs, checking interval can be configured via the notion of work units
- A global fallback time limit can be set to universally limit all evaluation in addition to engine level limit setting.
- Implement limnits in interpreter and RVM. In RVM, also handle suspend/resume so that time during pause is not counted.
- Add engine-level APIs to set/clear per-engine timer configuration and apply global fallback defaults.
- Surface execution-time limits through FFI and C# bindings
- Add C# tests and example usage to validate engine overrides, global fallback behavior, and compiled policy enforcement.
- Expand docs for execution-time limit
- Add interpreter YAML cases and VM unit tests for time-limit behavior and deterministic time sources.
Signed-off-by: Anand Krishnamoorthi <anakrish@microsoft.com>
- split the xtask crate into structured modules for
- bindings
- ci
- dev
- util
- no-std
- Adding commands for
- ci-release/ci-debug
- MUSL/no-std
- per- binding language smoke tests
- developer tasks (fmt, clippy, pre-commit, pre-push)
- refresh Cargo manifests/locks, binding readmes, and shared FFI helpers so every binding reuses the same preparation steps
- refactor GitHub Actions (release/debug, extensions, CodeQL, clippy, bindings) to call the new xtask commands
- Use rust-cache in ci workflows (microsoft qdk also does this)
- extend README with a contributor workflow section describing how xtask mirrors CI expectations
- update pre-commit and pre-push hooks to use the xtask dev commands
WORKAROUND:
When dotnet is run from an xtask, codeql tracer intercepts it an routes to a nonexistent binary.
Therefore in codeql workflow, xtask is not used for c# and instead dotnet is directly invoked.
Tracked by #545closes#475
Signed-off-by: Anand Krishnamoorthi <anakrish@microsoft.com>
Policy evaluation at scale needs to be able to set memory limits
so that a bad policy does not hog memory or to ensure that
policy evaluation itself does not use too much memory which could
cause other components to suffer.
This PR introduces capability to set and enforce global memory limits.
It also lays the groundwork for enabling per evaluation limits in future.
Once a global memory limit is set, Regorus maintains per thread counters
to track memory activity (allocation, deallocation) of a thread.
These counters are periodically flushed to global memory counters.
Per thread counters avoid the contention that updating global counters
on each alloc/free would cause.
Policy evaluation periodically checks these counters and raises errors
if allocated memory has exceeded the configured limit.
Currently memory limit capability is exposed only to FFI and C#.
Also update mimalloc to v2.2.6
Signed-off-by: Anand Krishnamoorthi <anakrish@microsoft.com>
