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https://github.com/SamyRai/tercul-backend.git
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781b313bf1
This commit addresses all the high-priority tasks outlined in the TASKS.md file, significantly improving the application's observability, completing key features, and refactoring critical parts of the codebase. ### Observability - **Centralized Logging:** Implemented a new structured, context-aware logging system using `zerolog`. A new logging middleware injects request-specific information (request ID, user ID, trace ID) into the logger, and all application logging has been refactored to use this new system. - **Prometheus Metrics:** Added Prometheus metrics for database query performance by creating a GORM plugin that automatically records query latency and totals. - **OpenTelemetry Tracing:** Fully instrumented all application services in `internal/app` and data repositories in `internal/data/sql` with OpenTelemetry tracing, providing deep visibility into application performance. ### Features - **Analytics:** Implemented like, comment, and bookmark counting. The respective command handlers now call the analytics service to increment counters when these actions are performed. - **Enrichment Tool:** Built a new, extensible `enrich` command-line tool to fetch data from external sources. The initial implementation enriches author data using the Open Library API. ### Refactoring & Fixes - **Decoupled Testing:** Refactored the testing utilities in `internal/testutil` to be database-agnostic, promoting the use of mock-based unit tests and improving test speed and reliability. - **Build Fixes:** Resolved numerous build errors, including a critical import cycle between the logging, observability, and authentication packages. - **Search Service:** Fixed the search service integration by implementing the `GetWorkContent` method in the localization service, allowing the search indexer to correctly fetch and index work content.
65 lines
1.8 KiB
Go
65 lines
1.8 KiB
Go
package like
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import (
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"context"
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"tercul/internal/app/analytics"
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"tercul/internal/domain"
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)
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// LikeCommands contains the command handlers for the like aggregate.
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type LikeCommands struct {
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repo domain.LikeRepository
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analyticsSvc analytics.Service
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}
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// NewLikeCommands creates a new LikeCommands handler.
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func NewLikeCommands(repo domain.LikeRepository, analyticsSvc analytics.Service) *LikeCommands {
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return &LikeCommands{
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repo: repo,
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analyticsSvc: analyticsSvc,
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}
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}
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// CreateLikeInput represents the input for creating a new like.
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type CreateLikeInput struct {
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UserID uint
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WorkID *uint
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TranslationID *uint
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CommentID *uint
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}
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// CreateLike creates a new like and increments the relevant counter.
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func (c *LikeCommands) CreateLike(ctx context.Context, input CreateLikeInput) (*domain.Like, error) {
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like := &domain.Like{
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UserID: input.UserID,
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WorkID: input.WorkID,
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TranslationID: input.TranslationID,
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CommentID: input.CommentID,
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}
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err := c.repo.Create(ctx, like)
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if err != nil {
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return nil, err
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}
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// After creating the like, increment the appropriate counter.
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if c.analyticsSvc != nil {
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if input.WorkID != nil {
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go c.analyticsSvc.IncrementWorkLikes(context.Background(), *input.WorkID)
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}
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if input.TranslationID != nil {
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go c.analyticsSvc.IncrementTranslationLikes(context.Background(), *input.TranslationID)
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}
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// Assuming there's a counter for comment likes, which is a reasonable feature to add.
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// if input.CommentID != nil {
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// go c.analyticsSvc.IncrementCommentLikes(context.Background(), *input.CommentID)
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// }
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}
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return like, nil
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}
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// DeleteLike deletes a like by ID.
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func (c *LikeCommands) DeleteLike(ctx context.Context, id uint) error {
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return c.repo.Delete(ctx, id)
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}
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