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- Core Go application with GraphQL API using gqlgen - Comprehensive data models for literary works, authors, translations - Repository pattern with caching layer - Authentication and authorization system - Linguistics analysis capabilities with multiple adapters - Vector search integration with Weaviate - Docker containerization support - Python data migration and analysis scripts - Clean architecture with proper separation of concerns - Production-ready configuration and middleware - Proper .gitignore excluding vendor/, database files, and build artifacts
22 lines
750 B
Go
22 lines
750 B
Go
package linguistics
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// LanguageDetector defines a provider that can detect the language of a text
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type LanguageDetector interface {
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// DetectLanguage returns a BCP-47 or ISO-like code and whether detection was confident
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DetectLanguage(text string) (string, bool)
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}
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// SentimentProvider defines a provider that scores sentiment in [-1, 1]
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type SentimentProvider interface {
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// Score returns sentiment for the text (optionally using language)
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Score(text string, language string) (float64, error)
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}
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// KeywordProvider defines a provider that extracts keywords from text
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type KeywordProvider interface {
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// Extract returns a list of keywords with relevance in [0,1]
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Extract(text string, language string) ([]Keyword, error)
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}
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