Skip to content

SPEC.md

Latest commit

 

History

History
131 lines (88 loc) · 3.08 KB

SPEC.md

File metadata and controls

131 lines (88 loc) · 3.08 KB

validation - Functional Specification

Version: v1.2.3 | Status: Active | Last Updated: March 2026

Purpose

Validation module providing unified input validation framework with support for JSON Schema, Pydantic models, and custom validators. Consolidates validation logic currently scattered across modules.

Design Principles

Modularity

  • Schema-agnostic validation interface
  • Support for multiple validation libraries
  • Pluggable validator system

Internal Coherence

  • Unified validation error format
  • Consistent validation patterns
  • Integration with error handling

Parsimony

  • Essential validation operations
  • Minimal dependencies
  • Focus on common validation scenarios

Functionality

  • Working implementations for common validation needs
  • Support for nested validation
  • Custom validator registration

Testing

  • Unit tests for all validators
  • Integration tests with real schemas
  • Edge case validation

Documentation

  • Complete API specifications
  • Usage examples for each validator type
  • Schema format documentation

Architecture

graph TD
    ValidatorInterface[Validator Interface]
    JSONSchemaValidator[JSON Schema Validator]
    PydanticValidator[Pydantic Validator]
    CustomValidator[Custom Validator]
    ValidationManager[Validation Manager]
    
    ValidatorInterface --> JSONSchemaValidator
    ValidatorInterface --> PydanticValidator
    ValidatorInterface --> CustomValidator
    ValidationManager --> ValidatorInterface
Loading

Functional Requirements

Core Operations

  1. Schema Validation: Validate data against JSON Schema
  2. Model Validation: Validate against Pydantic models
  3. Custom Validators: Register and use custom validation functions
  4. Error Reporting: Structured validation error messages
  5. Nested Validation: Support for complex nested structures

Integration Points

  • config_management/ - Configuration validation
  • api/ - API request/response validation
  • documents/ - Document schema validation

Quality Standards

Code Quality

  • Type hints for all functions
  • PEP 8 compliance
  • Comprehensive error handling

Testing Standards

  • ≥80% coverage
  • Validator-specific tests
  • Schema validation tests

Documentation Standards

  • README.md, AGENTS.md, SPEC.md
  • API_SPECIFICATION.md
  • USAGE_EXAMPLES.md

Interface Contracts

Validator Interface

class Validator:
    def validate(data: Any, schema: Any) -> ValidationResult
    def is_valid(data: Any, schema: Any) -> bool
    def get_errors(data: Any, schema: Any) -> list[ValidationError]

Implementation Guidelines

Validator Implementation

  1. Implement Validator interface for each type
  2. Provide structured error messages
  3. Support nested validation
  4. Handle validation errors gracefully

Integration

  1. Integrate with config_management
  2. Add validation to API endpoints
  3. Support document validation

Navigation