ebaysnipeextension/.kiro/specs/appwrite-userid-repair/design.md

Design Document

Overview

The AppWrite userId Attribute Repair system provides automated detection, repair, and validation of AppWrite collection schemas. The system addresses the critical issue where collections lack the required userId attribute, causing "Invalid query: Attribute not found in schema: userId" errors and preventing proper user data isolation.

The design follows a modular approach with separate components for schema analysis, automated repair, validation, and user interface. The system integrates with the existing Amazon extension's AppWrite infrastructure and provides both automated and manual repair options.

Architecture

High-Level Architecture

graph TB
    UI[Repair Interface] --> Controller[Repair Controller]
    Controller --> Analyzer[Schema Analyzer]
    Controller --> Repairer[Schema Repairer]
    Controller --> Validator[Schema Validator]
    
    Analyzer --> AppWrite[AppWrite API]
    Repairer --> AppWrite
    Validator --> AppWrite
    
    Controller --> Reporter[Report Generator]
    Reporter --> UI
    
    Controller --> Logger[Audit Logger]
    Logger --> Storage[Local Storage]

Component Interaction Flow

sequenceDiagram
    participant User
    participant UI as Repair Interface
    participant Controller as Repair Controller
    participant Analyzer as Schema Analyzer
    participant Repairer as Schema Repairer
    participant Validator as Schema Validator
    participant AppWrite as AppWrite API

    User->>UI: Start Repair Process
    UI->>Controller: initiate repair
    Controller->>Analyzer: analyze collections
    Analyzer->>AppWrite: get collection schemas
    AppWrite-->>Analyzer: schema data
    Analyzer-->>Controller: analysis report
    
    Controller->>Repairer: repair collections
    Repairer->>AppWrite: add userId attributes
    Repairer->>AppWrite: set permissions
    AppWrite-->>Repairer: operation results
    Repairer-->>Controller: repair results
    
    Controller->>Validator: validate repairs
    Validator->>AppWrite: test queries
    AppWrite-->>Validator: query results
    Validator-->>Controller: validation results
    
    Controller->>UI: final report
    UI->>User: display results

Components and Interfaces

1. Schema Analyzer

Purpose: Analyzes AppWrite collections to identify missing userId attributes and permission issues.

Interface:

class SchemaAnalyzer {
    async analyzeCollection(collectionId)
    async analyzeAllCollections()
    async validateAttributeProperties(attribute)
    async checkPermissions(collectionId)
}

Key Methods:

• analyzeCollection(): Examines a single collection's schema
• analyzeAllCollections(): Batch analysis of all required collections
• validateAttributeProperties(): Verifies userId attribute has correct type, size, and required flag
• checkPermissions(): Validates collection permissions match security requirements

2. Schema Repairer

Purpose: Automatically adds missing userId attributes and configures proper permissions.

Interface:

class SchemaRepairer {
    async repairCollection(collectionId, issues)
    async addUserIdAttribute(collectionId)
    async setCollectionPermissions(collectionId)
    async verifyRepair(collectionId)
}

Key Methods:

• repairCollection(): Orchestrates the complete repair process for a collection
• addUserIdAttribute(): Creates the userId attribute with correct specifications
• setCollectionPermissions(): Configures proper CRUD permissions
• verifyRepair(): Confirms the repair was successful

3. Schema Validator

Purpose: Tests repaired collections to ensure they work correctly with the extension.

Interface:

class SchemaValidator {
    async validateCollection(collectionId)
    async testUserIdQuery(collectionId)
    async testPermissions(collectionId)
    async generateValidationReport()
}

Key Methods:

• validateCollection(): Comprehensive validation of a collection's schema and permissions
• testUserIdQuery(): Attempts a query with userId filter to verify attribute exists
• testPermissions(): Tests that permissions properly restrict access
• generateValidationReport(): Creates detailed validation results

4. Repair Controller

Purpose: Orchestrates the entire repair process and manages component interactions.

Interface:

class RepairController {
    async startRepairProcess(options)
    async runAnalysisOnly()
    async runFullRepair()
    async generateReport()
}

Key Methods:

• startRepairProcess(): Main entry point for repair operations
• runAnalysisOnly(): Performs analysis without making changes
• runFullRepair(): Executes complete analysis, repair, and validation cycle
• generateReport(): Creates comprehensive report of all operations

5. Repair Interface

Purpose: Provides user interface for monitoring and controlling the repair process.

Interface:

class RepairInterface {
    render()
    showProgress(step, progress)
    displayResults(report)
    handleUserInput()
}

Key Methods:

• render(): Creates the repair interface HTML
• showProgress(): Updates progress indicators during repair
• displayResults(): Shows final repair results and recommendations
• handleUserInput(): Processes user interactions and options

Data Models

Collection Analysis Result

{
    collectionId: string,
    exists: boolean,
    hasUserId: boolean,
    userIdProperties: {
        type: string,
        size: number,
        required: boolean,
        array: boolean
    },
    permissions: {
        create: string[],
        read: string[],
        update: string[],
        delete: string[]
    },
    issues: string[],
    severity: 'critical' | 'warning' | 'info'
}

Repair Operation Result

{
    collectionId: string,
    operation: 'add_attribute' | 'set_permissions' | 'validate',
    success: boolean,
    error?: string,
    details: string,
    timestamp: Date
}

Validation Result

{
    collectionId: string,
    userIdQueryTest: boolean,
    permissionTest: boolean,
    overallStatus: 'pass' | 'fail' | 'warning',
    issues: string[],
    recommendations: string[]
}

Comprehensive Report

{
    timestamp: Date,
    collectionsAnalyzed: number,
    collectionsRepaired: number,
    collectionsValidated: number,
    overallStatus: 'success' | 'partial' | 'failed',
    collections: {
        [collectionId]: {
            analysis: CollectionAnalysisResult,
            repairs: RepairOperationResult[],
            validation: ValidationResult
        }
    },
    summary: {
        criticalIssues: number,
        warningIssues: number,
        successfulRepairs: number,
        failedRepairs: number
    },
    recommendations: string[]
}

Correctness Properties

A property is a characteristic or behavior that should hold true across all valid executions of a system-essentially, a formal statement about what the system should do. Properties serve as the bridge between human-readable specifications and machine-verifiable correctness guarantees.

Property 1: Schema Analysis Accuracy

For any AppWrite collection, when analyzed by the Schema_Validator, the system should correctly identify whether the userId attribute exists and has the proper specifications (string type, 255 character limit, required field) Validates: Requirements 1.1, 1.5

Property 2: Comprehensive Issue Reporting

For any set of collections analyzed, the system should provide a complete report that includes all schema issues categorized by severity (critical, warning, info) with collection names and missing attribute details Validates: Requirements 1.2, 1.3, 1.4

Property 3: Correct Attribute Creation

For any collection missing the userId attribute, when processed by the Repair_Service, the system should create a userId attribute with exactly these specifications: type=string, size=255, required=true Validates: Requirements 2.1, 2.2

Property 4: Repair Verification and Continuity

For any batch of collections being repaired, the system should verify each attribute creation was successful and continue processing remaining collections even when individual operations fail Validates: Requirements 2.3, 2.4

Property 5: Resilient Operation Handling

For any AppWrite API operation that encounters rate limits, network failures, or temporary errors, the system should implement retry logic with exponential backoff and continue processing Validates: Requirements 2.5, 6.2, 6.4

Property 6: Complete Permission Configuration

For any collection being repaired, the system should set all four permission types correctly: create="users", read="user:$userId", update="user:$userId", delete="user:$userId" Validates: Requirements 3.1, 3.2, 3.3, 3.4

Property 7: Error Handling with Instructions

For any operation that fails (attribute creation, permission setting, API calls), the system should log the specific error and provide manual fix instructions while continuing with remaining operations Validates: Requirements 2.3, 3.5, 6.1, 6.5

Property 8: Validation Query Testing

For any collection being validated, the system should attempt a query with userId filter and correctly mark the collection status based on query results (success = properly configured, "attribute not found" = failed repair) Validates: Requirements 4.1, 4.2, 4.3

Property 9: Permission Security Validation

For any repaired collection, the validation system should verify that unauthorized access attempts are properly blocked and permissions enforce proper data isolation Validates: Requirements 4.4

Property 10: Comprehensive Validation Reporting

For any validation run, the system should provide a complete report containing results for all tested collections with overall status, issues, and recommendations Validates: Requirements 4.5

Property 11: Progress and Result Display

For any repair process, the user interface should display progress information for each collection during processing and show complete results including collection names, repair status, and error messages when finished Validates: Requirements 5.1, 5.2

Property 12: Operation Summary Generation

For any completed repair process, the system should provide an accurate summary counting successful and failed operations with specific instructions for resolving any errors Validates: Requirements 5.3, 5.4

Property 13: Validation-Only Mode Safety

For any validation-only operation, the system should perform all analysis and testing without making any changes to collection schemas or permissions Validates: Requirements 5.5

Property 14: Authentication Error Guidance

For any authentication failure, the system should provide clear, specific instructions for credential verification and troubleshooting Validates: Requirements 6.3

Property 15: State Documentation and Audit Logging

For any repair operation, the system should document the initial state of each collection and log all changes made for audit purposes Validates: Requirements 7.1, 7.2, 7.5

Property 16: Critical Error Safety

For any critical error during repair, the system should immediately stop the process and provide rollback instructions without deleting any existing attributes or data Validates: Requirements 7.3, 7.4

Property 17: Extension Integration and Sync

For any successful repair completion, the extension should automatically detect AppWrite availability and sync pending localStorage data while verifying data integrity Validates: Requirements 8.1, 8.2, 8.3

Property 18: Conflict Resolution and Fallback

For any data conflicts detected during sync, the extension should provide resolution options, and if AppWrite repairs fail entirely, the extension should continue working with localStorage fallback Validates: Requirements 8.4, 8.5

Error Handling

The system implements comprehensive error handling at multiple levels:

API Error Handling

• Rate Limiting: Exponential backoff retry logic with maximum retry limits
• Network Failures: Automatic retry with connectivity detection
• Authentication Errors: Clear user guidance for credential verification
• Permission Errors: Detailed instructions for manual AppWrite console fixes

Operation Error Handling

• Attribute Creation Failures: Log error, provide manual instructions, continue with other collections
• Permission Setting Failures: Log error, provide console fix steps, continue processing
• Validation Failures: Mark collection as failed, provide specific remediation steps

User Experience Error Handling

• Progress Interruption: Save current state, allow resume from last successful operation
• Critical Failures: Stop process immediately, provide rollback instructions
• Partial Success: Clear summary of what succeeded/failed with next steps

Testing Strategy

Dual Testing Approach

The system requires both unit tests and property-based tests for comprehensive coverage:

Unit Tests focus on:

• Specific error scenarios and edge cases
• Integration points with AppWrite API
• User interface interactions and display logic
• Authentication and permission validation

Property Tests focus on:

• Universal properties across all collections and operations
• Comprehensive input coverage through randomization
• Correctness guarantees for repair and validation logic
• Data integrity and safety properties

Property-Based Testing Configuration

• Minimum 100 iterations per property test due to randomization
• Test tagging format: Feature: appwrite-userid-repair, Property {number}: {property_text}
• Collection generators: Create collections with various schema configurations
• Error simulation: Mock AppWrite API responses for comprehensive error testing
• State verification: Validate system state before and after operations