Enhance implementation of MovieVerse AI components and configurations & sync code with private codebase#272
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… & sync code with private codebase
hoangsonww
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Pull request overview
This pull request removes deprecated mobile JavaScript files and machine learning scripts while introducing a comprehensive microservices architecture for MovieVerse, including production-ready middleware, FastAPI-based backend services, SQL initialization scripts, and updated project configuration. The changes establish a scalable, event-driven platform with independent service deployments, shared observability components, and clear separation of concerns.
- Removed legacy mobile app JavaScript files (analytics, chat, games, favorites)
- Removed standalone machine learning scripts in favor of the MovieVerse-AI platform
- Added production microservices stack with 11 FastAPI services (auth, user, movie, review, search, etc.)
- Introduced shared middleware package with CORS, rate limiting, security headers, and logging
- Added SQL initialization scripts for PostgreSQL and MySQL databases
Reviewed changes
Copilot reviewed 210 out of 1087 changed files in this pull request and generated no comments.
Show a summary per file
| File | Description |
|---|---|
| MovieVerse-Mobile/app/js/*.js | Removed deprecated mobile JavaScript files |
| MovieVerse-Middleware/movieverse_middleware/*.py | Added production middleware components for ASGI/Django |
| MovieVerse-Backend/services/movieverse_services//.py | Implemented 11 microservices with FastAPI |
| MovieVerse-Backend/services/sql/*.sql | Added database initialization scripts |
| MovieVerse-Design/DESIGN.md | Added comprehensive system design documentation |
| MovieVerse-Frontend/react/LICENSE | Added Creative Commons license file |
| MovieVerse-Backend/requirements.txt | Updated dependencies for new architecture |
Files not reviewed (6)
- .idea/sqldialects.xml: Language not supported
- MovieVerse-Mobile/.idea/caches/deviceStreaming.xml: Language not supported
- MovieVerse-Mobile/.idea/copilot.data.migration.agent.xml: Language not supported
- MovieVerse-Mobile/.idea/copilot.data.migration.ask.xml: Language not supported
- MovieVerse-Mobile/.idea/copilot.data.migration.ask2agent.xml: Language not supported
- MovieVerse-Mobile/.idea/copilot.data.migration.edit.xml: Language not supported
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Summary of ChangesHello @hoangsonww, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed! This pull request marks a significant architectural evolution for MovieVerse by integrating a sophisticated AI Platform and transitioning to a microservices-based backend. The changes establish a scalable and production-ready environment for machine learning workflows, data management, and core application functionalities. This overhaul aims to enhance performance, modularity, and the overall user experience through advanced AI capabilities and a robust service-oriented design. Highlights
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Code Review
This is a massive and impressive pull request that introduces the entire MovieVerse AI platform and refactors the backend into a modern microservices architecture. The changes are extensive, covering new services, infrastructure-as-code with Docker and Kubernetes, a feature store with Feast, and ML pipelines with Airflow. The move to a decoupled, event-driven architecture is a significant step forward for the project's scalability and maintainability. My review focuses on key areas of the new platform, highlighting opportunities for improvement in security, performance, and robustness. Overall, this is a fantastic contribution.
This pull request introduces the initial implementation of the MovieVerse AI Platform, providing a full-featured machine learning stack for recommendations, similarity search, sentiment analysis, and ranking. The changes include infrastructure for local development and production (Docker Compose and Kubernetes), Airflow pipeline orchestration, a feature store setup with Feast, and comprehensive documentation for deployment and operations.
The most important changes are:
1. Core Platform and Infrastructure
docker-compose.ai.yml) that provisions all required services: Postgres, MySQL, MongoDB, Redis, Kafka, MinIO, MLflow, and the AI inference API, enabling local development and testing of the entire AI platform.k8s/) and a deployment guide for running the AI inference API and scheduled training jobs in production, including config maps, cronjobs, persistent storage, and service definitions. [1] [2] [3]2. AI Service Implementation
Dockerfile) and Airflow-specific Dockerfile (Dockerfile.airflow), supporting both API serving and scheduled ML pipeline execution. [1] [2]3. Feature Store and Pipelines
feature_store.yaml) and feature definitions (features.py) for user and movie features, supporting both offline and online serving with Postgres and Redis. [1] [2]airflow/dags/movieverse_ai_pipeline.py) to orchestrate regular training, feature materialization, and embedding generation.4. Documentation and Operations
docs/RUNBOOK.md) covering health checks, operational tasks (model sync, drift monitoring, feature materialization), and troubleshooting tips for the AI platform.5. Deployment and Project Configuration
DEPLOYMENT.md) to clarify Kubernetes rollout strategies and resource application order.