design doc update

docs/design_doc.md

@@ -1,231 +1,137 @@
-# POWR Database Implementation PRD
+# [Feature Name] Design Document
 
 ## Problem Statement
-POWR requires a robust SQLite database implementation that enables local-first fitness tracking while supporting future Nostr protocol integration. The database must efficiently handle exercise definitions (NIP-33401), workout templates (NIP-33402), and workout records (NIP-33403) while maintaining a clean separation between local storage needs and Nostr protocol compatibility.
+[Concise description of the problem being solved]
 
 ## Requirements
 
 ### Functional Requirements
-- Store and process exercise definitions with complete metadata
-- Support workout template creation and management
-- Track workout records and performance history
-- Enable efficient content querying and filtering
-- Handle both local and Nostr-sourced content seamlessly 
-- Support offline-first operations with sync capabilities
-- Manage template dependencies and incomplete references
-- Track exercise history and performance metrics
-- Support batch operations and migrations
+- [List of must-have functionality]
+- [User-facing features]
+- [Core capabilities]
 
 ### Non-Functional Requirements
-- Query response time < 100ms for common operations
-- Support concurrent read/write operations safely
-- Minimize memory usage through efficient caching
-- Maintain data integrity across sync operations
-- Scale to handle 1000+ exercises and 100+ templates
-- Support incremental sync with Nostr relays
-- Ensure consistent performance on mobile devices
-- Support automated testing and validation
+- Performance targets
+- Security requirements
+- Reliability goals
+- Usability standards
 
 ## Design Decisions
 
-### 1. Storage Architecture
-Use a dual storage approach with separate tables for raw events and processed data:
+### 1. [Major Decision Area]
+[Description of approach chosen]
 
 Rationale:
-- Maintains perfect relay replication capability
-- Enables efficient local querying
-- Supports dependency tracking
-- Facilitates future sync operations
-- Allows for flexible schema evolution
+- [Key reason]
+- [Supporting factors]
+- [Trade-offs considered]
 
-### 2. Cache Management
-Implement an LRU cache system with configurable limits:
+### 2. [Major Decision Area]
+[Description of approach chosen]
 
 Rationale:
-- Improves read performance for common queries
-- Manages memory usage effectively
-- Supports write buffering for batch operations
-- Provides tunable performance controls
-
-### 3. Schema Design
-Use a normalized schema with proper constraints and indexing:
-
-Rationale:
-- Ensures data integrity
-- Enables efficient querying
-- Supports future extensions
-- Maintains clear relationships
+- [Key reason]
+- [Supporting factors]
+- [Trade-offs considered]
 
 ## Technical Design
 
-### Core Schema
-```sql
--- Schema Version
-CREATE TABLE schema_version (
-  version INTEGER PRIMARY KEY,
-  updated_at INTEGER NOT NULL
-);
-
--- Raw Events
-CREATE TABLE nostr_events (
-  id TEXT PRIMARY KEY,
-  kind INTEGER NOT NULL,
-  pubkey TEXT NOT NULL,
-  created_at INTEGER NOT NULL,
-  content TEXT,
-  raw_event TEXT NOT NULL,
-  source TEXT DEFAULT 'local'
-);
-
--- Processed Exercises 
-CREATE TABLE exercise_definitions (
-  event_id TEXT PRIMARY KEY,
-  title TEXT NOT NULL,
-  type TEXT NOT NULL,
-  category TEXT NOT NULL,
-  equipment TEXT,
-  description TEXT,
-  format_json TEXT,
-  format_units_json TEXT,
-  FOREIGN KEY(event_id) REFERENCES nostr_events(id)
-);
-
--- Templates
-CREATE TABLE workout_templates (
-  event_id TEXT PRIMARY KEY, 
-  title TEXT NOT NULL,
-  type TEXT NOT NULL,
-  category TEXT NOT NULL,
-  description TEXT,
-  rounds INTEGER,
-  duration INTEGER,
-  interval_time INTEGER,
-  rest_between_rounds INTEGER,
-  created_at INTEGER NOT NULL,
-  FOREIGN KEY(event_id) REFERENCES nostr_events(id)
-);
-```
-
 ### Core Components
-
 ```typescript
-interface DbService {
-  // Core database operations
-  executeSql(sql: string, params?: any[]): Promise<SQLiteResult>;
-  withTransaction<T>(operation: () => Promise<T>): Promise<T>;
-  
-  // Migration handling
-  getCurrentVersion(): Promise<number>;
-  migrate(targetVersion?: number): Promise<void>;
+// Key interfaces/types
+interface ComponentName {
+    // Critical fields
 }
 
-interface CacheManager {
-  // Cache configuration
-  maxExercises: number;
-  maxTemplates: number;
-  writeBufferSize: number;
-  
-  // Cache operations
-  get<T>(key: string): Promise<T | undefined>;
-  set<T>(key: string, value: T): Promise<void>;
-  invalidate(key: string): Promise<void>;
+// Core functionality
+function mainOperation() {
+    // Key logic
 }
 ```
 
+### Integration Points
+- [System interfaces]
+- [External dependencies]
+- [API definitions]
+
 ## Implementation Plan
 
-### Phase 1: Core Infrastructure (Week 1-2)
-1. Set up base schema and migrations
-2. Implement DbService class
-3. Add basic CRUD operations
-4. Create test infrastructure
+### Phase 1: [Initial Phase]
+1. [Step 1]
+2. [Step 2]
+3. [Step 3]
 
-### Phase 2: Cache Layer (Week 2-3)
-1. Implement CacheManager
-2. Add LRU caching
-3. Configure write buffering
-4. Add cache invalidation
-
-### Phase 3: Query Layer (Week 3-4)
-1. Build query builders
-2. Implement common queries
-3. Add search functionality
-4. Optimize performance
-
-### Phase 4: Nostr Integration (Week 4-5)
-1. Add event processing
-2. Implement sync logic
-3. Handle dependencies
-4. Add relay management
+### Phase 2: [Next Phase]
+1. [Step 1]
+2. [Step 2]
+3. [Step 3]
 
 ## Testing Strategy
 
 ### Unit Tests
-- Schema creation and migrations
-- CRUD operations for all entities
-- Cache operations and invalidation
-- Query builder functions
+- [Key test areas]
+- [Critical test cases]
+- [Test tooling]
 
 ### Integration Tests
-- End-to-end workflow testing
-- Template dependency handling
-- Sync operations
-- Performance benchmarks
-
-### Performance Tests
-- Query response times
-- Cache hit rates
-- Write operation latency
-- Memory usage patterns
+- [End-to-end scenarios]
+- [Cross-component tests]
+- [Test environments]
 
 ## Observability
 
 ### Logging
-- Schema migrations
-- Cache operations
-- Query performance
-- Error conditions
+- [Key log points]
+- [Log levels]
+- [Critical events]
 
 ### Metrics
-- Query response times
-- Cache hit/miss rates
-- Database size
-- Operation counts
+- [Performance metrics]
+- [Business metrics]
+- [System health metrics]
 
 ## Future Considerations
 
 ### Potential Enhancements
-- Advanced caching strategies
-- Full-text search
-- Data compression
-- Cloud backup options
+- [Future feature ideas]
+- [Scalability improvements]
+- [Technical debt items]
 
 ### Known Limitations
-- SQLite concurrent access
-- Initial sync performance
-- Cache memory constraints
-- Platform-specific issues
+- [Current constraints]
+- [Technical restrictions]
+- [Scope boundaries]
 
 ## Dependencies
 
 ### Runtime Dependencies
-- expo-sqlite
-- @react-native-async-storage/async-storage
-- NDK (future)
+- [External services]
+- [Libraries]
+- [System requirements]
 
 ### Development Dependencies
-- Jest
-- TypeScript
-- SQLite development tools
+- [Build tools]
+- [Test frameworks]
+- [Development utilities]
 
 ## Security Considerations
-- Input validation
-- Query parameterization
-- Event signature verification
-- Access control
+- [Security measures]
+- [Privacy concerns]
+- [Data protection]
+
+## Rollout Strategy
+
+### Development Phase
+1. [Development steps]
+2. [Testing approach]
+3. [Documentation needs]
+
+### Production Deployment
+1. [Deployment steps]
+2. [Migration plan]
+3. [Monitoring setup]
 
 ## References
-- NDK SQLite Implementation
-- Nostr NIP-01 Specification 
-- POWR Exercise NIP Draft
-- React Native SQLite Documentation
+- [Related documents]
+- [External resources]
+- [Research materials]