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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
35 lines
1.0 KiB
Go
35 lines
1.0 KiB
Go
package models
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// Emotion represents an emotion associated with a work
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type Emotion struct {
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BaseModel
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Name string `gorm:"size:100;not null"`
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Description string `gorm:"type:text"`
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Language string `gorm:"size:50;not null"`
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Intensity float64 `gorm:"type:decimal(5,2);default:0.0"`
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UserID *uint
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User *User `gorm:"foreignKey:UserID"`
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WorkID *uint
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Work *Work `gorm:"foreignKey:WorkID"`
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CollectionID *uint
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Collection *Collection `gorm:"foreignKey:CollectionID"`
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}
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// Mood represents a mood associated with a work
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type Mood struct {
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BaseModel
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Name string `gorm:"size:100;not null"`
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Description string `gorm:"type:text"`
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Language string `gorm:"size:50;not null"`
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Works []*Work `gorm:"many2many:work_moods"`
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}
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// TopicCluster represents a cluster of related topics
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type TopicCluster struct {
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BaseModel
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Name string `gorm:"size:100;not null"`
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Description string `gorm:"type:text"`
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Keywords string `gorm:"type:text"`
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Works []*Work `gorm:"many2many:work_topic_clusters"`
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}
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