feat: Implemented soroban Analysis Artifact with full synchrony

[Sadeequ]

I've successfully implemented the Soroban Analysis Artifact Storage system with complete support for persisting and retrieving analysis artifacts. Here's what was created:

📁 Directory Structure Created

stellar - Main module for artifact storage

📦 Components Implemented

types.ts - Type definitions including:

• ArtifactMetadata - Track artifact properties, timestamps, checksums
• Artifact - Container for metadata + content
• ArtifactQuery - Flexible query interface
• StorageResult & BatchStorageResult - Operation results
• Configuration interfaces for storage and retrieval

artifact-storage.service.ts - Core storage service:

• ✅ Store artifacts with metadata and checksums
• ✅ Retrieve artifacts with integrity verification
• ✅ Query/search with flexible filters (by type, network, date range, tags)
• ✅ Batch operations for multiple artifacts
• ✅ Cleanup expired artifacts
• ✅ Statistics tracking (totals, by type, by network, by format)
• ✅ Backup management
• ✅ Central metadata indexing

artifact-retriever.ts - High-level retrieval interface:

• ✅ Get latest artifacts by type
• ✅ Get artifacts by tags
• ✅ Advanced search with complex queries
• ✅ In-memory caching with TTL
• ✅ Metadata-only retrieval
• ✅ Existence checking
• ✅ Cache statistics

metadata-manager.ts - Metadata management:

• ✅ Artifact registration/unregistration
• ✅ Metadata persistence and updates
• ✅ Fast lookups via indexing
• ✅ Find by criteria (contract, type, network, date range, tags)
• ✅ Index rebuilding and orphan cleanup
• ✅ Statistics aggregation

index.ts - Module exports and initialization:

• ✅ initializeArtifactStorage() for quick setup with sensible defaults

tests/artifact-storage.spec.ts - Comprehensive test suite:

• ✅ Storage and retrieval tests
• ✅ Query and search tests
• ✅ Batch operation tests
• ✅ Statistics tests
• ✅ Deletion tests
• ✅ Caching tests
• ✅ Metadata management tests

README.md - Complete documentation with:

• Usage examples
• API reference
• Configuration guide
• Best practices
• Performance considerations

✨ Key Features

• Multi-format support - JSON, Markdown, HTML, CSV, binary
• Network awareness - Track testnet, mainnet, standalone
• Rich metadata - Tags, descriptions, checksums, relationships
• Efficient querying - Filter by contract, type, network, date range, tags
• Automatic cleanup - Expire old artifacts based on retention policy
• Data integrity - SHA256 checksums for verification
• Caching layer - Configurable in-memory caching with TTL
• Batch operations - Handle multiple artifacts efficiently
• Backup management - Automatic backups before overwriting
• Statistics tracking - Monitor storage usage and distribution
• Metadata indexing - Fast lookups with index management

All requirements met:

✅ Store reports and metadata
✅ Support artifact retrieval
✅ Full test coverage
✅ Comprehensive documentation

Issue addressed:

CLOSES #481 ✔️

[drips-wave]

@Sadeequ Great news! 🎉 Based on an automated assessment of this PR, the linked Wave issue(s) no longer count against your application limits.

You can now already apply to more issues while waiting for a review of this PR. Keep up the great work! 🚀

Learn more about application limits