Kenso Grimm
216a972fef
- Add .gitignore to exclude node_modules, dist, logs, and system files - Add comprehensive project documentation including README, deployment guide, and development setup - Add .kiro project specifications for amazon-product-bar-extension, appwrite-cloud-storage, appwrite-userid-repair, blacklist-feature, and enhanced-item-management - Add .kiro steering documents for product, structure, styling, and tech guidelines - Add VSCode settings configuration for consistent development environment - Add manifest.json and babel/vite configuration for extension build setup - Add complete source code implementation including AppWrite integration, storage managers, UI components, and services - Add comprehensive test suite with Jest configuration and 30+ test files covering all major modules - Add test HTML files for integration testing and validation - Add coverage reports and build validation scripts - Add AppWrite setup and repair documentation for database schema management - Add migration guides and responsive accessibility implementation documentation - Establish foundation for Amazon product bar extension with full feature set including blacklist management, enhanced item workflows, and real-time synchronization
6.9 KiB
Requirements Document
Introduction
The AppWrite userId Attribute Repair feature addresses a critical infrastructure issue where AppWrite collections are missing the required userId attribute, preventing proper data isolation and causing "Invalid query: Attribute not found in schema: userId" errors. This feature provides automated detection, repair, and validation of AppWrite collection schemas to ensure proper user data isolation.
Glossary
- AppWrite_Manager: The service responsible for AppWrite database operations
- Collection_Schema: The structure definition of an AppWrite collection including attributes and permissions
- userId_Attribute: A required string attribute that identifies which user owns each document
- Schema_Validator: Component that verifies collection schemas match requirements
- Repair_Service: Automated service that adds missing attributes and fixes permissions
- Validation_Tool: Testing utility that verifies schema correctness
Requirements
Requirement 1: Schema Detection and Analysis
User Story: As a system administrator, I want to automatically detect collections missing the userId attribute, so that I can identify and fix schema issues before they cause runtime errors.
Acceptance Criteria
- WHEN the Schema_Validator analyzes a collection, THE System SHALL check for the presence of the userId attribute
- WHEN a collection is missing the userId attribute, THE System SHALL log the collection name and missing attribute details
- WHEN analyzing multiple collections, THE System SHALL provide a comprehensive report of all schema issues
- WHEN the analysis is complete, THE System SHALL categorize issues by severity (critical, warning, info)
- THE Schema_Validator SHALL validate that userId attributes have correct properties (string type, 255 character limit, required field)
Requirement 2: Automated Schema Repair
User Story: As a developer, I want to automatically repair AppWrite collections with missing userId attributes, so that I can fix schema issues without manual console operations.
Acceptance Criteria
- WHEN the Repair_Service processes a collection missing userId, THE System SHALL create the userId attribute with correct specifications
- WHEN creating the userId attribute, THE System SHALL set type to string, size to 255 characters, and required to true
- WHEN the attribute creation fails, THE System SHALL log the error and continue with other collections
- WHEN all attributes are added, THE System SHALL verify each attribute was created successfully
- THE Repair_Service SHALL handle AppWrite API rate limits and retry failed operations
Requirement 3: Permission Configuration
User Story: As a security administrator, I want to ensure proper permissions are set on repaired collections, so that users can only access their own data.
Acceptance Criteria
- WHEN the Repair_Service fixes a collection, THE System SHALL set create permission to "users"
- WHEN setting read permissions, THE System SHALL configure "user:$userId" to ensure data isolation
- WHEN setting update permissions, THE System SHALL configure "user:$userId" to prevent unauthorized modifications
- WHEN setting delete permissions, THE System SHALL configure "user:$userId" to prevent unauthorized deletions
- WHEN permission setting fails, THE System SHALL log the error and provide manual fix instructions
Requirement 4: Validation and Verification
User Story: As a quality assurance engineer, I want to verify that repaired collections work correctly, so that I can confirm the repair process was successful.
Acceptance Criteria
- WHEN the Validation_Tool tests a repaired collection, THE System SHALL attempt a query with userId filter
- WHEN the query succeeds, THE System SHALL mark the collection as properly configured
- WHEN the query fails with "attribute not found", THE System SHALL mark the repair as failed
- WHEN testing permissions, THE System SHALL verify that unauthorized access is properly blocked
- THE Validation_Tool SHALL provide a comprehensive report of all validation results
Requirement 5: User Interface and Reporting
User Story: As a system administrator, I want a clear interface to monitor and control the repair process, so that I can understand what changes are being made to my AppWrite setup.
Acceptance Criteria
- WHEN the repair process starts, THE System SHALL display progress information for each collection
- WHEN displaying results, THE System SHALL show collection name, repair status, and any error messages
- WHEN repairs are complete, THE System SHALL provide a summary of successful and failed operations
- WHEN errors occur, THE System SHALL provide specific instructions for manual resolution
- THE System SHALL allow users to run validation-only mode without making changes
Requirement 6: Error Handling and Recovery
User Story: As a developer, I want robust error handling during the repair process, so that partial failures don't prevent other collections from being fixed.
Acceptance Criteria
- WHEN an AppWrite API call fails, THE System SHALL log the error and continue with remaining operations
- WHEN network connectivity is lost, THE System SHALL implement retry logic with exponential backoff
- WHEN authentication fails, THE System SHALL provide clear instructions for credential verification
- WHEN rate limits are exceeded, THE System SHALL wait and retry the operation
- IF a collection cannot be repaired, THE System SHALL provide manual fix instructions
Requirement 7: Backup and Safety
User Story: As a database administrator, I want to ensure that repair operations are safe and reversible, so that I can recover from any unintended changes.
Acceptance Criteria
- WHEN starting repairs, THE System SHALL document the current state of each collection
- WHEN making changes, THE System SHALL log all operations for audit purposes
- WHEN critical errors occur, THE System SHALL stop the repair process and provide rollback instructions
- THE System SHALL never delete existing attributes or data during repair operations
- WHEN repairs are complete, THE System SHALL provide a summary of all changes made
Requirement 8: Integration with Existing Extension
User Story: As an extension user, I want the repair process to integrate seamlessly with the existing Amazon extension, so that my data synchronization works properly after repair.
Acceptance Criteria
- WHEN repairs are complete, THE Extension SHALL automatically detect AppWrite availability
- WHEN AppWrite becomes available, THE Extension SHALL sync pending localStorage data to AppWrite
- WHEN sync is complete, THE Extension SHALL verify data integrity between localStorage and AppWrite
- WHEN conflicts are detected, THE Extension SHALL provide conflict resolution options
- THE Extension SHALL continue working with localStorage fallback if AppWrite repairs fail