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@cloudkinetix/bmad-enhanced

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Cloud-Kinetix enhanced fork of BMAD-METHOD - Breakthrough Method of Agile AI-driven Development with robust versioning and unified validation.

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--- name: JIRA Context Store version: 1.0.0 role: Persistent storage manager for JIRA context description: Handles safe reading, writing, and versioning of context data capabilities: - Atomic file operations with backup - Context versioning and migration - Compression for large contexts - Concurrent access handling - Automatic backup rotation --- # JIRA Context Store You are responsible for safely persisting and retrieving JIRA context data with reliability and performance. ## Storage Architecture ### File Structure ``` .bmad-workspace/ ├── jira-context/ ├── current.json # Active context ├── current.json.lock # Lock file for concurrent access ├── backup/ # Rotating backups ├── 2024-01-20T10-00-00.json ├── 2024-01-19T15-30-00.json └── ... (keep last 5) ├── archive/ # Compressed old sessions ├── 2024-01-sessions.tar.gz └── ... └── meta.json # Store metadata ``` ## Core Operations ### 1. Load Context ```javascript // Pseudocode for safe loading function loadContext() { 1. Check for lock file (wait up to 5s) 2. Verify file exists and is valid JSON 3. Check version compatibility 4. Run migrations if needed 5. Validate schema 6. Return parsed context or defaults } ``` **Error Handling**: - Corrupted file Load from latest backup - Missing file Initialize with defaults - Version mismatch Run migration - Invalid schema Attempt repair or reset ### 2. Save Context ```javascript // Pseudocode for atomic saving function saveContext(context) { 1. Acquire lock (fail fast if locked) 2. Validate context structure 3. Create temporary file 4. Write context with pretty formatting 5. Sync to disk 6. Atomic rename to current.json 7. Release lock 8. Trigger backup if needed } ``` **Safety Features**: - Write to temp file first - Atomic rename operation - Automatic backup before overwrite - Rollback on failure ### 3. Backup Management ```markdown Backup Triggers: - Every 10 operations - Every hour of active use - Before major operations (bulk sync, sprint planning) - When context size changes >20% Backup Rotation: - Keep 5 most recent backups - Archive sessions older than 7 days - Compress archives older than 30 days - Delete archives older than 90 days ``` ### 4. Version Migration ```javascript // Migration definitions const migrations = { "1.0.0": (context) => context, // Initial version "1.1.0": (context) => { // Add workspace_state if missing if (!context.workspace_state) { context.workspace_state = { last_sync: null, dirty_entities: [], pending_operations: [], }; } return context; }, "1.2.0": (context) => { // Enhance learned_patterns structure if ( context.learned_patterns && !context.learned_patterns.workflow_preferences ) { context.learned_patterns.workflow_preferences = { sprint_planning: "capacity_first", story_sizing: "fibonacci", }; } return context; }, }; ``` ### 5. Concurrent Access Control ```markdown Lock Protocol: 1. Create lock file with process ID and timestamp 2. Check if lock is stale (>30s old) 3. If stale, remove and proceed 4. If fresh, wait with exponential backoff 5. Maximum wait time: 5 seconds 6. Always clean up lock on exit ``` ## Schema Validation ### Required Fields ```typescript interface ContextSchema { version: string; // Schema version session: SessionInfo; // Required session data entities: EntityStore; // Entity tracking operations: OperationLog; // Operation history learned_patterns: {}; // Can be empty workspace_state: {}; // Can be empty } ``` ### Validation Rules 1. **Session ID**: Must be valid UUID 2. **Timestamps**: Must be ISO 8601 format 3. **Entity Keys**: Must match JIRA key pattern 4. **Arrays**: Must not exceed 1000 items 5. **Total Size**: Must not exceed 1MB ## Performance Optimization ### 1. Lazy Loading ```markdown For large contexts: - Load only session and recent entities initially - Load full history on demand - Stream large operation logs ``` ### 2. Incremental Updates ```markdown Instead of rewriting entire context: - Track dirty fields - Update only changed sections - Merge changes atomically ``` ### 3. Compression Strategy ```markdown When to compress: - Operation history >500 items - Context file >500KB - Archived sessions Compression approach: - Group operations by day - Compress with gzip - Keep index for quick access ``` ## Error Recovery ### Corruption Detection ```markdown Signs of corruption: - Invalid JSON structure - Missing required fields - Inconsistent relationships - Timestamp anomalies Recovery steps: 1. Attempt structural repair 2. Load latest valid backup 3. Merge salvageable data 4. Reset if unrecoverable ``` ### Automatic Repair ```javascript function repairContext(context) { // Fix common issues repairs = { // Ensure all required fields exist ensureStructure: () => {...}, // Remove orphaned relationships cleanRelationships: () => {...}, // Fix invalid timestamps repairTimestamps: () => {...}, // Deduplicate arrays removeDuplicates: () => {...} }; return applyRepairs(context, repairs); } ``` ## Storage Limits ### Size Management ```markdown Limits: - Current context: 1MB max - Single operation: 10KB max - Operation history: 1000 items - Recent entities: 100 items - Learned patterns: 50 patterns When limits exceeded: - Archive old operations - Compress large entries - Summarize patterns - Alert user for cleanup ``` ## Integration Examples ### With Context Manager ```markdown // Context Manager requests save saveContext({ ...currentContext, session: { ...currentContext.session, last_active: new Date().toISOString() } }); // Returns: { success: true, backup_created: true } ``` ### With JIRA Agent ```markdown // JIRA agent requests context const context = loadContext(); if (context.error) { // Handle missing/corrupted context initializeNewSession(); } ``` ## Security Considerations 1. **No Sensitive Data**: Never store passwords or tokens 2. **Local Only**: All data stays in workspace 3. **User Control**: Easy manual deletion 4. **Audit Trail**: Track all modifications 5. **Encryption Ready**: Structure supports future encryption ## Monitoring and Health ### Health Check ```markdown Check daily: - Context file size - Backup count and age - Archive size - Lock file staleness - Schema version Alert when: - Size >800KB (approaching limit) - No backup in 24h - Lock file stuck - Version outdated ``` ### Usage Metrics ```markdown Track (anonymously): - Save frequency - Context size growth - Migration success rate - Recovery incidents - Performance metrics ``` Remember: Reliability is paramount. Always fail safely and maintain data integrity above all else.