mirror of
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
55 lines
1.0 KiB
Go
55 lines
1.0 KiB
Go
package enrich
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// Registry holds all the text analysis services
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type Registry struct {
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Lang *LanguageDetector
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Tok *Tokenizer
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Pos *POSTagger
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Lem *Lemmatizer
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Phon *PhoneticEncoder
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Key *KeywordExtractor
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Poet *PoeticAnalyzer
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}
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// DefaultRegistry creates a new Registry with default implementations
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func DefaultRegistry() *Registry {
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return &Registry{
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Lang: NewLanguageDetector(),
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Tok: NewTokenizer(),
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Pos: NewPOSTagger(),
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Lem: NewLemmatizer(),
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Phon: NewPhoneticEncoder(),
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Key: NewKeywordExtractor(),
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Poet: NewPoeticAnalyzer(),
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}
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}
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// Text represents a text to be analyzed
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type Text struct {
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ID uint
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Body string
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}
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// Token represents a token in a text
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type Token struct {
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Text string
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Position int
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Offset int
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Length int
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}
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// Keyword represents a keyword extracted from a text
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type Keyword struct {
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Text string
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Relevance float64
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}
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// PoeticMetrics represents metrics from poetic analysis
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type PoeticMetrics struct {
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RhymeScheme string
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MeterType string
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StanzaCount int
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LineCount int
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Structure string
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}
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