# OpenGrowth Privacy-Preserving Federated (MVP)

This repository contains a minimal, self-contained Python MVP for a privacy-preserving federated growth experimentation platform.

- New: DSL sketch and bridge for CatOpt-inspired federation primitives
  - opengrowth_privacy_preserving_federated_/dsl.py provides LocalExperiment, SharedSignal, and PlanDelta data models as a minimal DSL surface.
  - opengrowth_privacy_preserving_federated_/adapters/dsl_bridge.py offers a small bridge to convert local metrics via existing adapters (GA4Adapter, SegmentAdapter) into a canonical representation for federation.

- Exposes a lightweight API surface used by tests:
  - SchemaRegistry, ExperimentTemplate
  - SecureAggregator, CloudLedger, AccessControl, Governance
  - GA4Adapter, SegmentAdapter
- Includes a tiny in-repo implementation that can be extended later to integrate real adapters and secure aggregation techniques.

Build and test
- The project uses pyproject.toml with setuptools. Use `bash test.sh` to run tests and packaging checks.

For maintainers
- See AGENTS.md for architecture and contribution guidelines.