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https://github.com/SamyRai/tercul-backend.git
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4957117cb6
- 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
30 lines
724 B
Go
30 lines
724 B
Go
package linguistics
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import (
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"errors"
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"strings"
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)
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// --- LanguageDetector Adapters ---
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// NullLanguageDetector provides a no-op detector that always fails detection
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type NullLanguageDetector struct{}
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func (n NullLanguageDetector) DetectLanguage(text string) (string, bool) {
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return "", false
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}
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// --- SentimentProvider Adapters ---
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// RuleBasedSentimentProvider wraps the internal estimateSentimentOptimized as a provider
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type RuleBasedSentimentProvider struct{}
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func (r RuleBasedSentimentProvider) Score(text string, language string) (float64, error) {
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if strings.TrimSpace(text) == "" {
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return 0, errors.New("empty text")
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}
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return estimateSentimentOptimized(text, language), nil
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}
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