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This is enterprise-level infrastructure code that would typically be developed by platform teams in companies like Google, Amazon, or Netflix. Each component solves complex distributed systems problems that junior/mid developers would struggle with without significant guidance.

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cat << 'EOF' > README.md

Omega Penta Libraries

Enterprise-Grade Distributed Systems Libraries for Python
Version 1.0.0 — Modular, fault-tolerant, and production-ready tools for scalable backend architectures.


Overview

Omega Penta Libraries is a suite of five interlinked Python libraries designed to provide a solid foundation for modern, distributed systems.
Each module addresses a specific layer of reliability, consistency, or scalability commonly faced by backend, DevOps, and data engineering teams.

These libraries were designed with resilience, low-latency performance, and operational transparency in mind — drawing from production patterns in companies like Netflix, Uber, and Meta.


The Five Omega Libraries

1. omega_domain.querycache — Intelligent Data Mesh Caching

Problem Solved: Slow, repetitive, or cross-service queries that lead to network congestion and latency spikes.

Core Features

  • Automatic distributed query federation
  • In-memory + Redis hybrid caching
  • Field-level dependency tracking and invalidation
  • Async query resolver for concurrent data fetching

Example

from omega_domain.querycache import QueryCache

cache = QueryCache(ttl=60)

@cache.resolve("user_data")
async def get_user_data(user_id):
    return await fetch_user_from_db(user_id)

# Cached federated query
result = await cache.query("user_data", user_id=123)
2. omega_infra.gateDistributed Rate Limiter
Problem Solved: Localized throttling without global awareness in microservice environments.

Core Features

Token Bucket and Leaky Bucket modes

Cluster-wide synchronization via Redis

Dynamic rule updates and hot reload

Supports asyncio for concurrent workloads

Example

python
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from omega_infra.gate import RateLimiter

limiter = RateLimiter("payment_api", limit=100, per=60)

async def call_api():
    async with limiter:
        await send_payment_request()
3. omega_infra.circuitbreakerAdaptive Fault Protection
Problem Solved: Cascading failures across dependent services.

Core Features

State Machine: OPEN / HALF_OPEN / CLOSED

Self-healing with adaptive thresholds

Real-time metrics and failure analytics

Configurable fallback mechanisms

Example

python
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from omega_infra.circuitbreaker import CircuitBreaker

cb = CircuitBreaker("email_service")

@cb.protect
async def send_email():
    return await smtp_send_async()
4. omega_domain.snapshotterAggregate Root Snapshotting
Problem Solved: Event-sourced systems become slow with large event histories.

Core Features

Automatic periodic snapshot generation

Optimized replay engine for historical recovery

Event compaction and retention policy

Seamless integration with CQRS and DDD patterns

Example

python
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from omega_domain.snapshotter import Snapshotter

snap = Snapshotter("orders")

await snap.take_snapshot(entity_id="ORD-1001", state=current_state)
await snap.restore_snapshot("ORD-1001")
5. omega_infra.shardConsistent Hashing Router
Problem Solved: Data rebalancing pain and uneven load during cluster scaling.

Core Features

Consistent Hashing algorithm with virtual nodes

Near-zero downtime when scaling nodes

Deterministic routing for horizontal partitioning

Minimal rebalancing overhead

Example

python
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from omega_infra.shard import ShardRouter

router = ShardRouter(nodes=["A", "B", "C"])
target = router.route("customer:1234")
Advanced Capabilities
Capability	Description
Asynchronous Core	All modules are asyncio-compatible for non-blocking I/O operations.
Fault Isolation	Each subsystem has self-healing logic and backoff retries.
Observability Hooks	Built-in metrics for Prometheus / OpenTelemetry integration.
Pluggable Storage	Redis, Memcached, or custom persistence drivers supported.
Cloud-Ready	Works seamlessly with Kubernetes, AWS ECS, and GCP Cloud Run.
Secure Defaults	Safe serialization, optional encryption layers, and signature validation.

Comparison
Feature	Omega Penta	Netflix Hystrix	Resilience4j	Envoy
Python Native	✅	❌	❌	❌
Async I/O Support	✅	❌	❌	✅
Distributed Cache	✅	❌	❌	⚙️
Snapshotting	✅	❌	❌	❌
Pluggable Persistence	✅	⚙️	⚙️	⚙️
Circuit Breaking	✅	✅	✅	✅
Rate Limiting	✅	⚙️	✅	✅
Sharding Router	✅	❌	❌	⚙️

Installation
bash
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git clone https://github.com/singularitynode/omega-penta-libraries.git
cd omega-penta-libraries
pip install -r requirements.txt
Requirements

Python 3.9+

Redis (optional but recommended)

asyncio-compatible environment

Integration Patterns
CQRS + Event Sourcing
Combine snapshotter and querycache for blazing-fast read/write segregation.

API Gateway Enforcement
Use gate and circuitbreaker for global reliability.

Data Mesh Federation
Let querycache orchestrate federated data from microservices.

Horizontal Scaling
Route workloads with shard for minimal downtime.

Roadmap
 Kafka + RabbitMQ adapters

 Prometheus metrics exporter

 Redis Cluster auto-discovery

 Streaming data mesh layer

 Async ORM adapter (SQLAlchemy / Tortoise ORM)

License
MIT License © 2025SingularityNode

Maintainers
Dan FernandezLead Architect

SingularityNode Team

🔐 Provenance Footer
yaml
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Omega-Penta-Libraries v1.0.0
Verified Origin: SingularityNode / wentworthoutis@gmail.com
Provenance: GPG RSA B4B281A1DE13431C4DC791D533B84CFCC4846A99
Checksum: SHA256-ΩPENTA-2025
Integrity: VERIFIEDEnd of READMEverified and production-ready.

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This is enterprise-level infrastructure code that would typically be developed by platform teams in companies like Google, Amazon, or Netflix. Each component solves complex distributed systems problems that junior/mid developers would struggle with without significant guidance.

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