Mirrors the .md/.txt sweep across all tracked _test.go, testdata XML,
and .http integration files. Test files are self-contained (producer
+ assertion in the same file), so the matched-pair swap stays green
under `go test ./...`.
Mapping applied:
192.168.178.[0-9]+ → 192.0.2.[same]
192.168.1.[0-9]+ → 192.0.2.[same]
Sound Machinechen → Living Room SoundTouch
A Sound Machine → Kitchen SoundTouch
A81B6A536A98 + case/separator variants → AABBCCDDEEFF (etc.)
A81B6A849D99 → AABBCCDDEE01
A81B6A849D88 → AABBCCDDEE03
A81B6A536A09 → AABBCCDDEE04
884AEAEEBD27 → AABBCCDDEE02
3230304 → 1000001
9569497 → 1000002
Two semantic fixes alongside the bulk swap:
- pkg/service/zeroconf/zeroconf_test.go: the "private 192" and
"strips query" cases pin acceptance of RFC-1918 192.168/16. They
must use a real 192.168 value; doc-range IPs would (correctly) be
rejected by validateZcBaseURL. Switched to 192.168.10.10 — generic
enough not to match any home LAN default, real enough for the
validator. Added a comment explaining why this single test still
carries a 192.168 literal.
- pkg/service/setup/setup_test.go: TestTestDNSRedirection mocks the
device's `od -An -tu1` byte output, which is space-separated
octets ("192 168 1 100"). My sed only matched the dot-separated
form, so the mock was returning the old IP while the test
assertions had moved to the doc range. Updated to " 192 0 2 100".
go build ./... clean. go test ./... clean (only TestDocsConsistency
remains failing, which is a pre-existing/untracked-file issue).
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Applied automatic fixes using golangci-lint --fix which resolved:
- All remaining wsl_v5 whitespace issues (28 issues)
- All whitespace formatting issues (1 issue)
- Improved code formatting consistency across the entire codebase
All tests passing and functionality preserved.
- Add missing whitespace above range loops, if statements, and assignments
- Fix whitespace in models package (navigation, serviceavailability, supportedurls)
- Improve whitespace in test files and examples
- Fix whitespace in client package methods
- Maintain code functionality while improving readability
Reduced wsl_v5 issues from 29 to 27.
✨ New Features:
- Implement missing /supportedURLs endpoint with full XML parsing
- Add comprehensive endpoint-to-feature mapping system (15+ features, 9 categories)
- Create device capability analysis with personalized recommendations
- Add intelligent device classification (Premium, Standard, Basic, Essential, Limited)
🔧 CLI Enhancements:
- Add 'supported-urls' command with --features and --verbose flags
- Add 'analyze' command for comprehensive device capability analysis
- Add 'station list' command for saved station management
- Add 'source availability' and 'source compare' commands
- Enhanced service availability checking across all commands
📚 Models & API:
- New SupportedURLsResponse model with rich helper methods
- Enhanced ServiceAvailability model with validation utilities
- New EndpointFeature mapping system with CLI command references
- Feature completeness scoring and partial implementation detection
🧪 Testing:
- 35+ new test cases covering all functionality
- Comprehensive feature mapping validation tests
- Service availability integration tests with real device scenarios
- Mock server tests for error handling and edge cases
📖 Documentation:
- New FEATURE-MAPPING-GUIDE.md with comprehensive usage examples
- Updated API documentation with correct implementation status
- CLI command reference organized by feature category
- Device troubleshooting guide with capability checking
🎯 Key Capabilities:
- Device feature coverage scoring (0-100%)
- Essential vs optional feature classification
- Personalized CLI command recommendations
- Missing capability detection with usage impact analysis
- Smart device type classification based on supported endpoints
This resolves the documentation inconsistency where /supportedURLs was marked as
implemented but was actually missing from the client. The new implementation goes
far beyond basic endpoint listing to provide intelligent device capability analysis
and personalized usage recommendations.