Add token registry and compliance scoring API#153
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Co-authored-by: ludovit-scholtz <[email protected]>
Co-authored-by: ludovit-scholtz <[email protected]>
Co-authored-by: ludovit-scholtz <[email protected]>
Co-authored-by: ludovit-scholtz <[email protected]>
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✅ CI checks passed! 📄 OpenAPI specification generated and available as workflow artifact: |
4 similar comments
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✅ CI checks passed! 📄 OpenAPI specification generated and available as workflow artifact: |
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✅ CI checks passed! 📄 OpenAPI specification generated and available as workflow artifact: |
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✅ CI checks passed! 📄 OpenAPI specification generated and available as workflow artifact: |
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✅ CI checks passed! 📄 OpenAPI specification generated and available as workflow artifact: |
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Pull request overview
This pull request implements a comprehensive token registry and compliance scoring API for managing token metadata across multiple blockchain networks. The implementation provides a centralized, queryable data source for token identity, issuer verification, compliance status, and operational readiness.
Changes:
- Added token registry data models with compliance taxonomy (6 states: Unknown, Pending, Compliant, NonCompliant, Suspended, Exempt)
- Implemented in-memory repository layer with thread-safe ConcurrentDictionary for token storage
- Created service layer for validation, normalization, and data ingestion from internal token deployment records
- Added 5 REST API endpoints with filtering, pagination, and search capabilities
- Included 17 unit tests covering service and repository functionality
Reviewed changes
Copilot reviewed 15 out of 15 changed files in this pull request and generated 11 comments.
Show a summary per file
| File | Description |
|---|---|
| TOKEN_REGISTRY_API.md | Comprehensive API documentation with examples and architecture details |
| REGISTRY_IMPLEMENTATION_COMPLETE.md | Implementation summary and verification checklist |
| TokenRegistryEntry.cs | Core data model with identity, compliance, and operational readiness fields |
| RegistryApiModels.cs | Request/response models for all API endpoints |
| ITokenRegistryRepository.cs | Repository interface for data access abstraction |
| TokenRegistryRepository.cs | Thread-safe in-memory implementation with filtering and pagination |
| ITokenRegistryService.cs | Service interfaces for registry and ingestion operations |
| TokenRegistryService.cs | Business logic for validation and normalization |
| RegistryIngestionService.cs | Data pipeline for ingesting tokens from internal sources |
| TokenRegistryController.cs | REST API endpoints with authentication and error handling |
| Program.cs | Service registration for dependency injection |
| ErrorCodes.cs | Added registry-specific error codes |
| TokenRegistryServiceTests.cs | 8 unit tests for service layer |
| TokenRegistryRepositoryTests.cs | 9 unit tests for repository layer |
| documentation.xml | Generated XML documentation for all public APIs |
| if (entry.Readiness.IsAudited && !entry.Readiness.AuditReports.Any()) | ||
| { | ||
| result.Info.Add("Token is marked as audited but no audit reports are provided"); | ||
| } | ||
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| if (entry.Compliance.Status == ComplianceState.Compliant && entry.Compliance.RegulatoryFrameworks.Count == 0) | ||
| { | ||
| result.Info.Add("Token is marked as compliant but no regulatory frameworks are specified"); | ||
| } |
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Potential null reference exception when accessing entry.Readiness.AuditReports and entry.Compliance.RegulatoryFrameworks. Both Readiness and Compliance properties could be null. Add null checks before accessing their nested properties.
| private Task NormalizeRequestDataAsync(UpsertTokenRegistryRequest request) | ||
| { | ||
| // Normalize chain name to lowercase-hyphenated format | ||
| request.Chain = request.Chain.ToLowerInvariant(); | ||
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| // Normalize standards to uppercase | ||
| if (request.SupportedStandards != null) | ||
| { | ||
| request.SupportedStandards = request.SupportedStandards | ||
| .Select(s => s.ToUpperInvariant()) | ||
| .Distinct() | ||
| .ToList(); | ||
| } | ||
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| // Normalize primary standard | ||
| if (!string.IsNullOrWhiteSpace(request.PrimaryStandard)) | ||
| { | ||
| request.PrimaryStandard = request.PrimaryStandard.ToUpperInvariant(); | ||
| } | ||
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| // Normalize tags to lowercase | ||
| if (request.Tags != null) | ||
| { | ||
| request.Tags = request.Tags | ||
| .Select(t => t.ToLowerInvariant()) | ||
| .Distinct() | ||
| .ToList(); | ||
| } | ||
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| // Trim whitespace from string fields | ||
| request.Name = request.Name.Trim(); | ||
| request.Symbol = request.Symbol.Trim(); | ||
| if (request.Description != null) | ||
| request.Description = request.Description.Trim(); | ||
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| return Task.CompletedTask; | ||
| } |
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Normalization modifies the request object directly without creating a copy. This could lead to unexpected behavior if the caller expects the original request to remain unchanged. Consider creating a defensive copy or documenting this side effect clearly in the method's XML documentation.
| catch (Exception ex) | ||
| { | ||
| _logger.LogWarning(ex, "Error ingesting token from issuance record {AssetId}", | ||
| LoggingHelper.SanitizeLogInput(record.AssetId?.ToString() ?? "unknown")); | ||
| } |
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Inconsistent error handling in the ingestion loop. When an exception occurs processing a single token (line 173-177), the error is logged but not counted in response.ErrorCount or added to response.Errors. This makes it difficult to track actual failures during ingestion. Consider incrementing ErrorCount and adding error messages to the Errors list.
| { | ||
| var internalCount = await IngestInternalTokensAsync(request.Chain, request.Limit); | ||
| response.ProcessedCount += internalCount; | ||
| response.CreatedCount += internalCount; // Simplified for now |
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The CreatedCount is incorrectly set to the total number of ingested tokens (line 70), but it should only count newly created entries, not updates. The UpsertTokenAsync result includes a 'Created' flag that should be used to distinguish between creates and updates. This will result in inaccurate statistics being reported.
| response.CreatedCount += internalCount; // Simplified for now | |
| // NOTE: CreatedCount is not incremented here to avoid conflating processed and created entries. |
| // Apply same filters as ListTokensAsync | ||
| if (!string.IsNullOrWhiteSpace(request.Standard)) | ||
| { | ||
| query = query.Where(t => t.SupportedStandards.Contains(request.Standard, StringComparer.OrdinalIgnoreCase) || | ||
| (t.PrimaryStandard != null && t.PrimaryStandard.Equals(request.Standard, StringComparison.OrdinalIgnoreCase))); | ||
| } | ||
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| if (request.ComplianceStatus.HasValue) | ||
| { | ||
| query = query.Where(t => t.Compliance.Status == request.ComplianceStatus.Value); | ||
| } | ||
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| if (!string.IsNullOrWhiteSpace(request.Chain)) | ||
| { | ||
| query = query.Where(t => t.Chain.Equals(request.Chain, StringComparison.OrdinalIgnoreCase)); | ||
| } | ||
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| if (!string.IsNullOrWhiteSpace(request.IssuerAddress)) | ||
| { | ||
| query = query.Where(t => t.Issuer != null && | ||
| t.Issuer.Address != null && | ||
| t.Issuer.Address.Equals(request.IssuerAddress, StringComparison.OrdinalIgnoreCase)); | ||
| } | ||
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| if (request.IsContractVerified.HasValue) | ||
| { | ||
| query = query.Where(t => t.Readiness.IsContractVerified == request.IsContractVerified.Value); | ||
| } | ||
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| if (request.IsAudited.HasValue) | ||
| { | ||
| query = query.Where(t => t.Readiness.IsAudited == request.IsAudited.Value); | ||
| } | ||
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| if (request.HasValidMetadata.HasValue) | ||
| { | ||
| query = query.Where(t => t.Readiness.HasValidMetadata == request.HasValidMetadata.Value); | ||
| } | ||
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| if (!string.IsNullOrWhiteSpace(request.Search)) | ||
| { | ||
| var searchLower = request.Search.ToLowerInvariant(); | ||
| query = query.Where(t => | ||
| t.Name.ToLowerInvariant().Contains(searchLower) || | ||
| t.Symbol.ToLowerInvariant().Contains(searchLower) || | ||
| (t.Description != null && t.Description.ToLowerInvariant().Contains(searchLower))); | ||
| } | ||
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| if (!string.IsNullOrWhiteSpace(request.Tags)) | ||
| { | ||
| var tags = request.Tags.Split(',', StringSplitOptions.RemoveEmptyEntries | StringSplitOptions.TrimEntries); | ||
| query = query.Where(t => tags.Any(tag => t.Tags.Contains(tag, StringComparer.OrdinalIgnoreCase))); | ||
| } | ||
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| if (!string.IsNullOrWhiteSpace(request.DataSource)) | ||
| { | ||
| query = query.Where(t => t.DataSource.Equals(request.DataSource, StringComparison.OrdinalIgnoreCase)); | ||
| } | ||
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| return Task.FromResult(query.Count()); | ||
| } | ||
| catch (Exception ex) | ||
| { | ||
| _logger.LogError(ex, "Error getting token count"); | ||
| return Task.FromResult(0); | ||
| } |
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Filter duplication between ListTokensAsync and GetTokenCountAsync methods (lines 30-133 and 349-421). The same filtering logic is implemented twice, which violates the DRY principle and could lead to inconsistencies if one is updated but not the other. Consider extracting the filtering logic into a private helper method that both methods can share.
| // Apply same filters as ListTokensAsync | |
| if (!string.IsNullOrWhiteSpace(request.Standard)) | |
| { | |
| query = query.Where(t => t.SupportedStandards.Contains(request.Standard, StringComparer.OrdinalIgnoreCase) || | |
| (t.PrimaryStandard != null && t.PrimaryStandard.Equals(request.Standard, StringComparison.OrdinalIgnoreCase))); | |
| } | |
| if (request.ComplianceStatus.HasValue) | |
| { | |
| query = query.Where(t => t.Compliance.Status == request.ComplianceStatus.Value); | |
| } | |
| if (!string.IsNullOrWhiteSpace(request.Chain)) | |
| { | |
| query = query.Where(t => t.Chain.Equals(request.Chain, StringComparison.OrdinalIgnoreCase)); | |
| } | |
| if (!string.IsNullOrWhiteSpace(request.IssuerAddress)) | |
| { | |
| query = query.Where(t => t.Issuer != null && | |
| t.Issuer.Address != null && | |
| t.Issuer.Address.Equals(request.IssuerAddress, StringComparison.OrdinalIgnoreCase)); | |
| } | |
| if (request.IsContractVerified.HasValue) | |
| { | |
| query = query.Where(t => t.Readiness.IsContractVerified == request.IsContractVerified.Value); | |
| } | |
| if (request.IsAudited.HasValue) | |
| { | |
| query = query.Where(t => t.Readiness.IsAudited == request.IsAudited.Value); | |
| } | |
| if (request.HasValidMetadata.HasValue) | |
| { | |
| query = query.Where(t => t.Readiness.HasValidMetadata == request.HasValidMetadata.Value); | |
| } | |
| if (!string.IsNullOrWhiteSpace(request.Search)) | |
| { | |
| var searchLower = request.Search.ToLowerInvariant(); | |
| query = query.Where(t => | |
| t.Name.ToLowerInvariant().Contains(searchLower) || | |
| t.Symbol.ToLowerInvariant().Contains(searchLower) || | |
| (t.Description != null && t.Description.ToLowerInvariant().Contains(searchLower))); | |
| } | |
| if (!string.IsNullOrWhiteSpace(request.Tags)) | |
| { | |
| var tags = request.Tags.Split(',', StringSplitOptions.RemoveEmptyEntries | StringSplitOptions.TrimEntries); | |
| query = query.Where(t => tags.Any(tag => t.Tags.Contains(tag, StringComparer.OrdinalIgnoreCase))); | |
| } | |
| if (!string.IsNullOrWhiteSpace(request.DataSource)) | |
| { | |
| query = query.Where(t => t.DataSource.Equals(request.DataSource, StringComparison.OrdinalIgnoreCase)); | |
| } | |
| return Task.FromResult(query.Count()); | |
| } | |
| catch (Exception ex) | |
| { | |
| _logger.LogError(ex, "Error getting token count"); | |
| return Task.FromResult(0); | |
| } | |
| query = ApplyFilters(query, request); | |
| return Task.FromResult(query.Count()); | |
| } | |
| catch (Exception ex) | |
| { | |
| _logger.LogError(ex, "Error getting token count"); | |
| return Task.FromResult(0); | |
| } | |
| } | |
| private IEnumerable<TokenRegistryEntry> ApplyFilters(IEnumerable<TokenRegistryEntry> query, ListTokenRegistryRequest request) | |
| { | |
| if (request == null) | |
| { | |
| return query; | |
| } | |
| // Apply same filters as ListTokensAsync | |
| if (!string.IsNullOrWhiteSpace(request.Standard)) | |
| { | |
| query = query.Where(t => | |
| t.SupportedStandards.Contains(request.Standard, StringComparer.OrdinalIgnoreCase) || | |
| (t.PrimaryStandard != null && t.PrimaryStandard.Equals(request.Standard, StringComparison.OrdinalIgnoreCase))); | |
| } | |
| if (request.ComplianceStatus.HasValue) | |
| { | |
| query = query.Where(t => t.Compliance.Status == request.ComplianceStatus.Value); | |
| } | |
| if (!string.IsNullOrWhiteSpace(request.Chain)) | |
| { | |
| query = query.Where(t => t.Chain.Equals(request.Chain, StringComparison.OrdinalIgnoreCase)); | |
| } | |
| if (!string.IsNullOrWhiteSpace(request.IssuerAddress)) | |
| { | |
| query = query.Where(t => | |
| t.Issuer != null && | |
| t.Issuer.Address != null && | |
| t.Issuer.Address.Equals(request.IssuerAddress, StringComparison.OrdinalIgnoreCase)); | |
| } | |
| if (request.IsContractVerified.HasValue) | |
| { | |
| query = query.Where(t => t.Readiness.IsContractVerified == request.IsContractVerified.Value); | |
| } | |
| if (request.IsAudited.HasValue) | |
| { | |
| query = query.Where(t => t.Readiness.IsAudited == request.IsAudited.Value); | |
| } | |
| if (request.HasValidMetadata.HasValue) | |
| { | |
| query = query.Where(t => t.Readiness.HasValidMetadata == request.HasValidMetadata.Value); | |
| } | |
| if (!string.IsNullOrWhiteSpace(request.Search)) | |
| { | |
| var searchLower = request.Search.ToLowerInvariant(); | |
| query = query.Where(t => | |
| t.Name.ToLowerInvariant().Contains(searchLower) || | |
| t.Symbol.ToLowerInvariant().Contains(searchLower) || | |
| (t.Description != null && t.Description.ToLowerInvariant().Contains(searchLower))); | |
| } | |
| if (!string.IsNullOrWhiteSpace(request.Tags)) | |
| { | |
| var tags = request.Tags.Split(',', StringSplitOptions.RemoveEmptyEntries | StringSplitOptions.TrimEntries); | |
| query = query.Where(t => tags.Any(tag => t.Tags.Contains(tag, StringComparer.OrdinalIgnoreCase))); | |
| } | |
| if (!string.IsNullOrWhiteSpace(request.DataSource)) | |
| { | |
| query = query.Where(t => t.DataSource.Equals(request.DataSource, StringComparison.OrdinalIgnoreCase)); | |
| } | |
| return query; |
| } | ||
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| // Validate compliance scoring | ||
| if (entry.Compliance.Score.HasValue && (entry.Compliance.Score < 0 || entry.Compliance.Score > 100)) |
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Potential null reference exception when accessing entry.Compliance.Score. The Compliance property could be null if not initialized. Consider adding a null check before accessing Score property.
| if (entry.Compliance.Score.HasValue && (entry.Compliance.Score < 0 || entry.Compliance.Score > 100)) | |
| var score = entry.Compliance?.Score; | |
| if (score.HasValue && (score < 0 || score > 100)) |
| private readonly TokenIssuanceRepository _tokenIssuanceRepository; | ||
| private readonly ComplianceRepository _complianceRepository; | ||
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| /// <summary> | ||
| /// Initializes a new instance of the <see cref="RegistryIngestionService"/> class | ||
| /// </summary> | ||
| public RegistryIngestionService( | ||
| ITokenRegistryRepository registryRepository, | ||
| ITokenRegistryService registryService, | ||
| ILogger<RegistryIngestionService> logger, | ||
| TokenIssuanceRepository tokenIssuanceRepository, | ||
| ComplianceRepository complianceRepository) | ||
| { | ||
| _registryRepository = registryRepository; | ||
| _registryService = registryService; | ||
| _logger = logger; | ||
| _tokenIssuanceRepository = tokenIssuanceRepository; | ||
| _complianceRepository = complianceRepository; |
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The ingestion service uses concrete repository types (TokenIssuanceRepository, ComplianceRepository) instead of interfaces. This creates tight coupling and makes unit testing difficult. Consider defining ITokenIssuanceRepository and IComplianceRepository interfaces to maintain consistency with the abstraction pattern used throughout the codebase.
| { | ||
| Network = chain, | ||
| Success = true, // Only successful deployments | ||
| PageSize = limit ?? 1000 // Default limit to avoid loading too much data |
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Pagination default of 1000 items in a single page (line 119) could cause memory and performance issues with large datasets. Consider using a lower default value (e.g., 100) to prevent potential resource exhaustion, especially since this is in-memory storage.
| PageSize = limit ?? 1000 // Default limit to avoid loading too much data | |
| PageSize = limit ?? 100 // Conservative default limit to reduce memory usage |
| public const string InvalidRequest = "INVALID_REQUEST"; | ||
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| /// <summary> | ||
| /// Validation failed | ||
| /// </summary> | ||
| public const string ValidationFailed = "VALIDATION_FAILED"; | ||
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| /// <summary> | ||
| /// Internal error occurred | ||
| /// </summary> | ||
| public const string InternalError = "INTERNAL_ERROR"; | ||
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| /// <summary> | ||
| /// Resource not found | ||
| /// </summary> | ||
| public const string NotFound = "NOT_FOUND"; |
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Inconsistent naming convention for error codes. New error codes use PascalCase (InvalidRequest, ValidationFailed, InternalError, NotFound) while existing codes use UPPER_SNAKE_CASE (TOKEN_STANDARD_NOT_SUPPORTED). This violates the established convention in the codebase. Consider using UPPER_SNAKE_CASE to match existing error codes like INVALID_REQUEST, VALIDATION_FAILED, INTERNAL_ERROR, NOT_FOUND.
| builder.Services.AddSingleton<BiatecTokensApi.Repositories.Interface.ITokenRegistryRepository, BiatecTokensApi.Repositories.TokenRegistryRepository>(); | ||
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| // Also register non-interface repositories for ingestion service | ||
| builder.Services.AddSingleton<BiatecTokensApi.Repositories.TokenIssuanceRepository>(); | ||
| builder.Services.AddSingleton<BiatecTokensApi.Repositories.ComplianceRepository>(); |
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The TokenIssuanceRepository and ComplianceRepository are registered as singletons in addition to their interface registrations (lines 131-132), but there's a comment stating "Also register non-interface repositories for ingestion service". This creates a potential issue where two instances of the same repository could exist if someone requests both the interface and concrete type. Consider either using only interface-based registration or documenting why both are necessary.
Implements queryable registry for token identity, issuer verification, compliance status, and operational readiness across multiple blockchain networks and standards. Provides normalized data source for frontend discovery and compliance filtering.
Data Models
TokenRegistryEntry - Canonical schema with:
Repository Layer
TokenRegistryRepository- In-memory implementation usingConcurrentDictionary:Services
TokenRegistryService - Validation and normalization:
algorand-mainnet,base-mainnet)ARC3,ERC20)RegistryIngestionService - Data pipeline:
TokenIssuanceAuditLogEntryrecordsAPI Endpoints
All require ARC-0014 authentication:
Filter parameters:
standard,complianceStatus,chain,issuerAddress,isContractVerified,isAudited,hasValidMetadata,search,tags,dataSourceExample response structure:
{ "tokens": [{ "tokenIdentifier": "123456", "chain": "algorand-mainnet", "compliance": { "status": "Compliant", "score": 95, "regulatoryFrameworks": ["MICA"] }, "readiness": { "isContractVerified": true, "isAudited": true, "auditReports": [{"auditor": "...", "result": "Pass"}] } }], "totalCount": 150, "page": 1, "hasNextPage": true }Testing
17 unit tests (NUnit + Moq):
Architecture Notes
LoggingHelperprevents log forgingOriginal prompt
This section details on the original issue you should resolve
<issue_title>Backend: Token registry and compliance scoring API</issue_title>
<issue_description>## Summary
This issue defines a backend capability set for a token registry and compliance scoring API that supports multiple token standards and produces consistent metadata for the frontend discovery and detail views. The goal is to provide authoritative, queryable data on token identity, issuer information, compliance state, and operational readiness, while remaining extensible as new standards are introduced. The backend should aggregate and normalize data from internal sources and external registries, and expose it through stable endpoints that the frontend can rely on for discovery filters and detail panels. This work is intentionally scoped to backend services and data modeling, with clear contracts and test coverage that make the system safe to evolve as the product roadmap introduces additional standards and regulatory requirements.
Business Value
A robust token registry and compliance API is essential for the product vision of becoming the trusted platform for token issuance, discovery, and management. Without consistent backend data, the frontend cannot accurately guide users toward compliant tokens or provide the trust signals that enterprise clients require. This gap limits adoption among higher value customers who need confidence in the compliance status and operational readiness of tokens before engaging. By implementing a normalized registry with compliance scoring, the product can offer a differentiated experience focused on trust and governance rather than speculative trading.
The business value extends to revenue opportunities. Compliance and registry data can power premium analytics, alerts, and reporting features that can be placed behind higher pricing tiers. Institutions often pay more for audit trails and compliance visibility, which means a consistent backend foundation directly supports enterprise pricing strategy. In addition, a normalized registry simplifies integrations with external partners and wallets by providing a single source of truth, reducing integration costs and accelerating new partnership revenue.
A reliable backend also reduces operational risk. Consistent compliance states, clear audit metadata, and standardized operational readiness signals reduce the chance of presenting incorrect information to users. This protects the brand and minimizes support overhead. The registry enables the product to evolve quickly as new standards emerge, which is critical for staying competitive. Competitors that rely on manual or ad hoc data pipelines will struggle to keep pace, while a well structured registry allows the product to iterate on new standards and compliance rules with minimal disruption. This aligns directly with the business owner roadmap and the product vision of trusted, compliant token infrastructure.
Product overview
See the business owner roadmap: https://raw.githubusercontent.com/scholtz/biatec-tokens/refs/heads/main/business-owner-roadmap.md
Scope
The scope includes backend data modeling, ingestion, normalization, and API endpoints for token registry and compliance scoring. The goal is to deliver reliable data that the frontend can consume for discovery filters and detail views without additional transformation.
In scope capabilities:
User stories to guide the backend contracts:
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