Implement Phase 2 - Backend Database Infrastructure

.cursor/rules/backend-technical-stack.mdc

@@ -3,30 +3,32 @@ description: Technical Stack Specification for the /backend.
 globs: backend/*
 alwaysApply: false
 ---
+# Technical Stack Specification for the /backend
+
 ## 1. Technology Stack Overview
 
-| Component | Technology | Version | Purpose |
-|-----------|------------|---------|---------|
-| Framework | FastAPI | 0.114.2+ | Web API framework |
-| ORM | SQLModel | 0.0.21+ | Database ORM |
-| Primary Database | PostgreSQL | 13+ | Relational database |
-| Document Database | MongoDB | 6.0+ | Social media content storage |
-| In-memory Database | Redis | 7.0+ | Caching and real-time operations |
-| Vector Database | Pinecone | Latest | Semantic content analysis |
-| Authentication | JWT | 2.8.0+ | User authentication |
-| Password Hashing | Passlib + Bcrypt | 1.7.4+ | Secure password storage |
-| Dependency Management | uv | 0.5.11+ | Package management |
-| Migrations | Alembic | 1.12.1+ | Database schema migrations |
-| API Documentation | OpenAPI/Swagger | Built-in | API documentation |
-| Error Tracking | Sentry | 1.40.6+ | Error reporting |
-| Email Delivery | emails | 0.6+ | Email notifications |
-| Testing | pytest | 7.4.3+ | Unit and integration testing |
-| Linting | ruff | 0.2.2+ | Code quality |
-| Type Checking | mypy | 1.8.0+ | Static type checking |
-| Task Queue | Celery | 5.3.0+ | Asynchronous task processing |
-| Message Broker | RabbitMQ | 3.12+ | Task distribution |
-| Stream Processing | Apache Kafka | 3.4+ | Real-time data streaming |
-| NLP Processing | spaCy + Transformers | 3.6+ / 4.28+ | Content analysis |
+| Component | Technology | Version | Purpose | MVP Status |
+|-----|---|---|---|---|
+| Framework | FastAPI | 0.114.2+ | Web API framework | ✅ Included |
+| ORM | SQLModel | 0.0.21+ | Database ORM | ✅ Included |
+| Primary Database | PostgreSQL | 13+ | Relational database | ✅ Included |
+| Document Database | MongoDB | 6.0+ | Social media content storage | ✅ Included |
+| In-memory Database | Redis | 7.0+ | Caching and real-time operations | ❌ **NOT in MVP** |
+| Vector Database | Pinecone | Latest | Semantic content analysis | ✅ Included |
+| Authentication | JWT | 2.8.0+ | User authentication | ✅ Included |
+| Password Hashing | Passlib + Bcrypt | 1.7.4+ | Secure password storage | ✅ Included |
+| Dependency Management | uv | 0.5.11+ | Package management | ✅ Included |
+| Migrations | Alembic | 1.12.1+ | Database schema migrations | ✅ Included |
+| API Documentation | OpenAPI/Swagger | Built-in | API documentation | ✅ Included |
+| Error Tracking | Sentry | 1.40.6+ | Error reporting | ✅ Included |
+| Email Delivery | emails | 0.6+ | Email notifications | ✅ Included |
+| Testing | pytest | 7.4.3+ | Unit and integration testing | ✅ Included |
+| Linting | ruff | 0.2.2+ | Code quality | ✅ Included |
+| Type Checking | mypy | 1.8.0+ | Static type checking | ✅ Included |
+| Task Queue | Celery | 5.3.0+ | Asynchronous task processing | ❌ **NOT in MVP** |
+| Message Broker | RabbitMQ | 3.12+ | Task distribution | ❌ **NOT in MVP** |
+| Stream Processing | Apache Kafka | 3.4+ | Real-time data streaming | ❌ **NOT in MVP** |
+| NLP Processing | spaCy + Transformers | 3.6+ / 4.28+ | Content analysis | ✅ Included |
 
 ## 2. Architecture
 
@@ -51,7 +53,7 @@ Client Request → API Layer → Service Layer → Repository Layer → Database
 ### 2.3 Directory Structure
 
 ```
-/app
+backend/app
 ├── api/                      # API endpoints and routing
 │   ├── api_v1/               # API version 1
 │   │   ├── endpoints/        # Resource endpoints
@@ -68,15 +70,13 @@ Client Request → API Layer → Service Layer → Repository Layer → Database
 ├── schemas/                  # Pydantic models for API
 ├── services/                 # Business logic
 │   └── repositories/         # Data access layer
-├── tasks/                    # Celery tasks for background processing
-│   ├── scraping/             # Social media scraping tasks
-│   ├── analysis/             # Content analysis tasks
-│   └── notifications/        # Alert and notification tasks
+├── tasks/                    # Task processing system (MVP version)
+│   ├── task_manager.py       # In-memory task management
+│   ├── task_types.py         # Task type definitions
+│   └── README.md             # Task system documentation
 ├── processing/               # Data processing components
 │   ├── models/               # ML model wrappers
-│   ├── streams/              # Kafka stream processors
 │   └── embeddings/           # Vector embedding generators
-├── worker.py                 # Celery worker configuration
 └── main.py                   # Application entry point
 ```
 
@@ -86,14 +86,14 @@ Client Request → API Layer → Service Layer → Repository Layer → Database
 
 The application employs a hybrid database architecture to address the diverse data requirements of political social media analysis:
 
-| Component | Technology | Version | Purpose |
-|-----------|------------|---------|---------|
-| Relational Database | PostgreSQL | 13+ | Entity data and relationships |
-| Document Database | MongoDB | 6.0+ | Social media content and engagement |
-| In-memory Database | Redis | 7.0+ | Caching and real-time operations |
-| Vector Database | Pinecone | Latest | Semantic similarity analysis |
+| Component | Technology | Version | Purpose | MVP Status |
+|-----|---|---|---|---|
+| Relational Database | PostgreSQL | 13+ | Entity data and relationships | ✅ Included |
+| Document Database | MongoDB | 6.0+ | Social media content and engagement | ✅ Included |
+| In-memory Database | Redis | 7.0+ | Caching and real-time operations | ❌ **NOT in MVP** |
+| Vector Database | Pinecone | Latest | Semantic similarity analysis | ✅ Included |
 
-Refer to `database-architecture.mdc` for detailed implementation specifications.
+Refer to `database-architecture.md` for detailed implementation specifications.
 
 ### 3.2 Primary Domain Models
 
@@ -112,14 +112,14 @@ Refer to `database-architecture.mdc` for detailed implementation specifications.
 
 ### 3.4 Additional Dependencies
 
-| Dependency | Version | Purpose |
-|------------|---------|---------|
-| motor | 3.2.0+ | Async MongoDB driver |
-| redis | 4.6.0+ | Redis client |
-| pinecone-client | 2.2.1+ | Pinecone Vector DB client |
-| pymongo | 4.5.0+ | MongoDB client |
+| Dependency | Version | Purpose | MVP Status |
+|---|---|---|---|
+| motor | 3.2.0+ | Async MongoDB driver | ✅ Included |
+| redis | 4.6.0+ | Redis client | ❌ **NOT in MVP** |
+| pinecone-client | 2.2.1+ | Pinecone Vector DB client | ✅ Included |
+| pymongo | 4.5.0+ | MongoDB client | ✅ Included |
 
-Refer to `data-processing-architecture.mdc` for details on processing pipelines and analysis components.
+Refer to `data-processing-architecture.md` for details on processing pipelines and analysis components.
 
 ## 4. API Design
 
@@ -227,4 +227,33 @@ Error responses:
 
 - Modular service architecture
 - Clear separation of concerns
-- Version-prefixed API endpoints
+- Version-prefixed API endpoints
+
+## 10. Task Processing System (MVP)
+
+### 10.1 MVP Implementation
+
+The MVP version uses a simplified approach for task processing:
+
+- **TaskManager**: In-memory task management system
+- **FastAPI BackgroundTasks**: Used for asynchronous execution
+- **Task Status Tracking**: Maintains task state (pending, running, completed, failed)
+- **Simple API**: Endpoints for task creation, status checking, and listing
+
+### 10.2 MVP Limitations
+
+- **No Persistent Storage**: Tasks stored in memory only, lost on server restart
+- **No Distributed Processing**: All tasks run on the same server instance
+- **No Scheduled Tasks**: No mechanism for recurring tasks
+- **No Task Queue**: Tasks execute in the order they're received
+- **Limited Scaling**: Cannot handle high volume of concurrent tasks
+
+### 10.3 Post-MVP Task Processing
+
+In future versions beyond MVP, the system will be upgraded to:
+
+- **Celery**: For robust task queue system
+- **Redis**: For task result storage and caching
+- **RabbitMQ**: For reliable message broker
+- **Scheduled Tasks**: For recurring operations
+- **Distributed Processing**: For scalable task execution