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DeltaTrace MVP
DeltaTrace MVP: Deterministic Replayable Latency & Compliance Tracing
A minimal, production-oriented scaffolding for end-to-end traceability in live-market
execution pipelines. This repository provides a core event-graph schema, a
deterministic replay engine, and governance scaffolding with starter adapters.
Overview
- DeltaTrace provides a tiny but practical MVP foundation for end-to-end traceability in live-market pipelines.
- Focus areas: deterministic replay, cross-layer event graphs, auditability, and lightweight adapters that avoid vendor lock-in.
- The current repository contains a minimal core, a deterministic replay engine, and a trace payload model that can be extended into a production-ready toolkit.
What you get
- Lightweight event graph primitives: LocalEvent, PlanDelta, OrderEvent, FillEvent, RiskCheck, AuditLog, PrivacyBudget
- Deterministic replay engine to reproduce a decision path from a delta stream and event log
- Governance ledger scaffold with crypto-signed audit entries (in-memory for MVP)
- Two starter adapters: FIX feed simulator and exchange gateway stub
- Packaging metadata and tests ensuring a safe MVP workflow
What’s inside (core MVP)
- deltatrace.core: lightweight event graph primitives (LocalEvent, PlanDelta, OrderEvent, FillEvent, RiskCheck, AuditLog, PrivacyBudget, MessageMeta) and a minimal in-memory TraceGraph.
- deltatrace.replay: DeterministicReplayEngine that consumes a delta-stream and yields a deterministic ordering of events.
- deltatrace.trace: a small but usable form for trace payloads (LocalEvent, PlanDelta, etc.) with JSON-serializable to_dict and from_dict helpers.
- adapters/: starter adapters (FIX feed simulator, exchange gateway) to illustrate plug-and-play deployment.
- governance/: scaffolding for governance logs and audit trails.
Usage outline
- Build and test: ./test.sh
- Explore the API under deltatrace.core and adapters package
- Extend with additional adapters and governance rules as needed
How to run
- Ensure you have Python 3.9+.
- Install (local development): python3 -m build && pip install -e .
- Run tests: ./test.sh
- You can also import modules in an interactive session to experiment:
from deltatrace.core import LocalEvent, PlanDelta, ReplayEngine
from deltatrace.replay import DeterministicReplayEngine
This README intentionally stays lightweight and actionable for quick onboarding.
Usage patterns (MVP approach)
- Build an event graph across layers: LocalEvent -> PlanDelta -> OrderEvent/FillEvent -> RiskCheck -> AuditLog.
- Capture a delta-stream and an event-log, then use the deterministic replay to reproduce a specific decision path.
- Use the governance scaffolds to crypto-sign and tamper-evident-log entries for auditability.
Roadmap (high level)
- Phase 0: Core schema, deterministic replay, 2 starters adapters (FIX feed, exchange gateway).
- Phase 1: Privacy controls and governance ledger scaffold.
- Phase 2: Partitioned-network testbed with sandboxed exchange.
- Phase 3: Incident replay dashboard and governance reporting.
Contributing
- Small, well-scoped changes with tests.
- Follow the existing style and add docstrings.
- Run test.sh after meaningful changes.
This repository is designed as a production-oriented MVP: small, well-typed, and easy to extend. For questions or collaboration, ping in the repository issues and PRs.
End of README