22 lines
1.3 KiB
Markdown
22 lines
1.3 KiB
Markdown
# OpenBench: Privacy-Preserving Benchmarking (MVP)
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- This repository contains a minimal, working MVP of the OpenBench platform focused on:
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- An offline-first KPI data model (Revenue, COGS, inventory turns, lead time, CAC, LTV).
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- A simple, privacy-preserving aggregation primitive (Laplace-noise-enabled) for anonymized benchmarking.
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- A lightweight Python packaging setup compatible with pytest-based tests and python -m build packaging checks.
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- A minimal data-contract system (DataContract) and an in-memory contract registry for versioned payload schemas.
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- A pluggable adapter framework with sample POSAdapter and ERPAdapter to bootstrap data ingestion.
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How to run
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- Install dependencies and run tests: `bash test.sh`
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- The MVP stores KPI records locally in a JSONL file under the package data directory.
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Project layout (high-level)
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- openbench_privacy_preserving_benchmarkin/core.py: Core data model and analytics primitives.
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- __init__.py: Re-exports core primitives for simple imports.
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- test.sh: Quick test runner that also builds the distribution.
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- AGENTS.md: Swarm agent guidelines describing architecture and testing commands.
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- pyproject.toml/setup.py: Packaging metadata to satisfy python packaging checks.
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This is a deliberately minimal MVP intended to demonstrate architecture and testing practices.
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