Release v0.3.0a1

Release v0.3.0a1

✨ New Features

Observer Pattern & Event System

• Added ValidationObserver protocol for tracking validation events
• New ValidationEvent and ValidationEventType for event-driven architecture
• Events: VALIDATION_STARTED, VALIDATION_COMPLETED, ROW_PROCESSED, BATCH_STARTED, BATCH_COMPLETED, ERROR_ADDED, CLEANING_ADDED

Streaming Validation Runner

• New ValidationRunner for processing large datasets without loading into memory
• Supports iterator input for streaming CSV/JSONL files
• Methods: run(), run_collect_valid(), run_collect_failed(), run_batch_valid()
• Parallel processing support with workers parameter
• Built-in statistics tracking via RunnerStats

Rich Console Observers

• SimpleProgressObserver - Progress bar integration with Rich
• RichDashboardObserver - Live dashboard with stats panel and error tracking

Output Writers

• CSVFailedWriter - Export failed records to CSV
• JSONLinesFailedWriter - Export failed records to JSONL
• AuditReportWriter - Generate audit reports in JSON/CSV format

AI Agent Documentation

• Added comprehensive AGENTS.md with guidelines for AI assistants
• Quick reference table, code examples, and anti-patterns

🧪 Testing Improvements

• Added Hypothesis property-based tests for rich_observers and runner modules
• Stateful testing for RunnerStats with RuleBasedStateMachine
• Achieved 99% test coverage (100% on most modules)

🔧 Fixes

• Resolved all mypy type errors in test files
• Fixed version-check workflow for better cross-platform portability

📦 CI/CD

• Added alpha/beta/rc prerelease support to release workflow
• Improved version tagging automation

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Full Changelog: https://github.com/Abstract-Data/abstract-validation-base/commits/v0.3.0a1