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Daily Test Coverage Improver: Research and Plan #1574

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Description

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Research and Plan for Test Coverage Improvement

Repository Analysis

Purpose and Technology Stack

FSharp.Data is a comprehensive F# library that provides type providers and utilities for accessing common data formats (CSV, HTML, JSON, XML) and external data sources like WorldBank. The project is organized into multiple modules:

  • Core Libraries: CSV.Core, Json.Core, Html.Core, Xml.Core, Http, WorldBank.Core, Runtime.Utilities
  • Design-Time Components: Type providers for compile-time code generation
  • Main Package: FSharp.Data combining all components

Current Testing Strategy

The project has a well-established testing structure with multiple test projects:

  1. FSharp.Data.Core.Tests - Core functionality tests covering:

    • CSV parsing and operations
    • JSON parsing, conversions, and runtime behavior
    • HTML parsing, CSS selectors, operations
    • HTTP functionality and headers
    • Text conversions and runtime utilities
    • Caching mechanisms
  2. FSharp.Data.DesignTime.Tests - Type provider signature tests

    • Comprehensive signature validation for all type providers
    • Inference testing for various data formats
    • Expected output validation against .expected files
  3. FSharp.Data.Tests - High-level integration tests for type providers

  4. FSharp.Data.Reference.Tests - Additional reference tests

  5. FSharp.Data.Core.Tests.CSharp - C# interoperability tests

Build and Test Infrastructure

Build Commands:

  • Build: dotnet run --project build/build.fsproj -- -t Build
  • Run Tests: dotnet run --project build/build.fsproj -- -t RunTests
  • Full Build: dotnet run --project build/build.fsproj -- -t All
  • Format: dotnet run --project build/build.fsproj -- -t Format
  • Check Format: dotnet run --project build/build.fsproj -- -t CheckFormat

Test Execution: Uses dotnet test with Release configuration and GitHub Actions logger in CI.

Current Test Coverage Assessment

Current Gaps Identified:

  • No code coverage collection is currently configured in the build process
  • Missing coverage reports and metrics
  • TestResults/CoverageReport directory exists but is empty

Test Organization:

  • Tests are well-organized by module and functionality
  • Comprehensive test data in Data/ directories
  • Clear separation between unit tests, integration tests, and signature tests
  • C# interoperability tests ensure cross-language compatibility

Improvement Strategy

1. Coverage Collection Setup

Need to configure code coverage collection using tools like:

  • Coverlet for .NET Core coverage collection
  • ReportGenerator for HTML coverage reports
  • Integration with the existing FAKE build system

2. Coverage Analysis Commands

# Generate coverage with Coverlet
dotnet test --collect:"XPlat Code Coverage" --results-directory TestResults/

# Generate HTML reports
dotnet reportgenerator -reports:"TestResults/**/coverage.cobertura.xml" -targetdir:"TestResults/CoverageReport" -reporttypes:Html

3. Areas for Potential Coverage Improvement

High Priority Areas:

  1. Error handling and edge cases - Exception paths, malformed input
  2. Runtime utilities - TextConversions, NameUtils, Pluralizer
  3. Inference engines - CsvInference, JsonInference, XmlInference, HtmlInference
  4. Extension methods and helpers - Various *Extensions.fs files
  5. Caching mechanisms - Current caching logic and cache invalidation
  6. HTTP functionality - Different request types, headers, authentication

Medium Priority Areas:

  1. Type provider runtime support - Runtime behavior verification
  2. Cross-platform compatibility - Different OS/culture scenarios
  3. Performance-critical paths - Parsing optimizations
  4. Schema validation - JSON Schema, XSD validation paths

4. Testing Approach

  • Focus on meaningful tests that exercise real functionality
  • Target uncovered branches and exception handling
  • Add property-based tests for parsers where applicable
  • Ensure tests cover different data formats and edge cases
  • Maintain compatibility with existing test patterns

5. Integration with CI/CD

  • Add coverage collection to GitHub Actions workflows
  • Generate coverage reports as build artifacts
  • Set coverage quality gates for future PRs

Questions for Maintainers

  1. Coverage Target: What would be a reasonable coverage target for this project?
  2. Tools Preference: Any preference for coverage collection tools (Coverlet vs alternatives)?
  3. Reporting: Should coverage reports be published as GitHub Pages or artifacts?
  4. Breaking Changes: Any areas where additional testing might reveal existing issues?
  5. Performance: Any concerns about coverage collection impacting build time?

Next Steps

  1. Configure coverage collection in the build system
  2. Generate baseline coverage report
  3. Identify specific uncovered areas
  4. Create targeted tests for highest-impact coverage improvements
  5. Set up automated coverage reporting

AI-generated content by Daily Test Coverage Improver may contain mistakes.

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