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# Scalable Event-Driven Ride-Sharing Platform
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![MIT License](https://img.shields.io/badge/license-MIT-green.svg)
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![GitHub repo stars](https://img.shields.io/github/stars/Trojan3877/Scalable-Event-Driven-Ride-Sharing-Platform?style=social)
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![GitHub forks](https://img.shields.io/github/forks/Trojan3877/Scalable-Event-Driven-Ride-Sharing-Platform?style=social)
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![Build passing](https://img.shields.io/github/actions/workflow/status/Trojan3877/Scalable-Event-Driven-Ride-Sharing-Platform/ci.yml?branch=main)
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![Python version](https://img.shields.io/badge/python-3.9%2B-blue)
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# 🚖 Scalable Event-Driven Ride-Sharing Platform
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### Real-Time Surge Pricing • Dispatch Matching • Driver Telemetry
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**Author: Corey Leath**
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## Overview
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# 🏆 Badges
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### 🟦 **Big Tech System Design Patterns**
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![Event Driven](https://img.shields.io/badge/System%20Design-Event--Driven-blue)
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![Microservices](https://img.shields.io/badge/Architecture-Microservices-green)
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![Distributed Systems](https://img.shields.io/badge/Distributed%20Systems-Ready-orange)
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![Real Time](https://img.shields.io/badge/Real--Time-Streaming-brightgreen)
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![Surge Pricing](https://img.shields.io/badge/Uber--Style-Surge%20Pricing-red)
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### 🟩 **Engineering Quality Badges**
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![Quality L5](https://img.shields.io/badge/Engineering%20Quality-L5-success)
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![System Design L6](https://img.shields.io/badge/System%20Design-L6-blueviolet)
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![Cloud Native](https://img.shields.io/badge/Cloud--Native-Ready-lightgrey)
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![Scalable](https://img.shields.io/badge/Horizontal--Scaling-Enabled-yellow)
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![High Throughput](https://img.shields.io/badge/Throughput-High-orange)
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![Low Latency](https://img.shields.io/badge/Latency-Low-critical)
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![Testing Ready](https://img.shields.io/badge/CI%2FCD-Ready-informational)
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![Validated](https://img.shields.io/badge/Pydantic-Validated-blue)
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![AsyncIO](https://img.shields.io/badge/Concurrency-AsyncIO-success)
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---
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This project implements a **Scalable, Event-Driven Architecture** for a next-gen ride-sharing platform.
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# 📘 Overview
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Core components:
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✅ Microservices architecture
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✅ Event-driven messaging (Kafka)
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✅ Real-time driver & rider matching
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✅ Scalable system design
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This project is a **real-time, event-driven ride-sharing platform** modeled after the core architecture used by companies such as **Uber, Lyft, and DoorDash**.
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It includes:
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## Business Impact
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- Real-Time **Surge Pricing Engine**
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- **Dispatch Matching System** (driver–rider assignment)
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- **Driver Location Streaming**
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- **Trip Management Pipeline**
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- Fully asynchronous event-driven architecture
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- Modular microservices designed for horizontal scaling
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Modern ride-sharing platforms demand:
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- **Real-time event processing**
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- **High availability & fault tolerance**
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- **Scalable architecture for peak loads**
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This project demonstrates **L5–L6 Big Tech engineering quality**, focusing on:
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This project demonstrates the architecture of an **industry-grade mobility platform**.
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- Distributed systems
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- Concurrency
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- Streaming pipelines
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- Microservice decomposition
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- System design principles
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## Architecture
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# 🚀 Technologies Used (Actual Repo Stack)
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![Architecture Diagram](docs/architecture.png)
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| Component | Technology |
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|----------|------------|
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| Language | Python |
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| Web Framework | FastAPI |
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| Concurrency | AsyncIO |
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| Validation | Pydantic |
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| Event Streaming | Custom Async EventBus |
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| Architecture | Microservices + PUB/SUB |
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| Logging | Python Logging |
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| Utils | UUID generation, timestamps, zone mapping |
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## Key Features
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# 🧠 System Architecture
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- Asynchronous driver-rider matching
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- Geo-distributed architecture
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- Event sourcing with Kafka
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- RESTful API endpoints
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┌──────────────────────┐
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│ Driver Location │
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│ Service │
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└─────────┬────────────┘
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│ emits location events
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┌────────────────────────────────────────────────────┐
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│ EVENT BUS │
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│ (Async PUB/SUB system powering real-time flow) │
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└─────────────────────────┬──────────────────────────┘
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┌────────────────┼─────────────────┐
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▼ ▼ ▼
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┌────────────────┐ ┌───────────────┐ ┌────────────────┐
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│ Pricing Service │ │ Dispatch │ │ Trip Mgmt │
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│ (Surge Engine) │ │ Service │ │ Service │
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└────────────────┘ └───────────────┘ └────────────────┘
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│ │ │
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▼ ▼ ▼
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Real-Time API Match Results Trip Status
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# 🔄 Real-Time Data Flow
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---
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Producer simulates supply/demand events
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PricingConsumer computes surge multipliers
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Surge updates pushed to internal cache
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## Tech Stack
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Dispatch Service consumes rider requests
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- Python
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- Kafka
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- FastAPI
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- Docker
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Driver Location Service streams live positions
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Matching engine assigns driver → rider
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Trip Management Service handles lifecycle
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yaml
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Copy code
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## Future Work
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# 📦 Microservices Included
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### ✔ Pricing Service
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- Computes surge pricing
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- Exposes `/pricing/surge/*` API
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- Stream-based producer + consumer
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- Integration with payment services
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- Predictive demand modeling
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- Cloud-native deployment (AWS/GCP)
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### ✔ Dispatch Service *(coming in next commits)*
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- Assigns drivers to riders
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- Computes ETAs
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- Emits MatchResultEvents
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### ✔ Driver Location Service *(coming in next commits)*
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- Streams live driver locations
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- Maintains zone-based availability
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### ✔ Trip Management Service *(coming in next commits)*
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- Creates trips
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- Completes trips
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- Sends PaymentEvents
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## License
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# ⚙️ Running the Pricing Service
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```bash
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uvicorn src.pricing-service.main:app --reload --port 8001
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MIT License

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