refactor(store): replace project and skill models with generated models

* Update project creation and retrieval to use generated models
* Modify skill addition and listing to utilize generated models
* Refactor thought handling to incorporate generated models
* Adjust tool annotations to align with new model structure
* Update API calls in the UI to use new ResolveSpec-based endpoints
* Enhance stats retrieval logic to aggregate thought metadata

internal/store/learnings.go

@@ -5,9 +5,9 @@ import (
 	"fmt"
 	"strings"
 
+	"git.warky.dev/wdevs/amcs/internal/generatedmodels"
 	"github.com/google/uuid"
 	"github.com/jackc/pgx/v5"
-	"github.com/jackc/pgx/v5/pgtype"
 
 	thoughttypes "git.warky.dev/wdevs/amcs/internal/types"
 )
@@ -48,9 +48,13 @@ func (db *DB) CreateLearning(ctx context.Context, learning thoughttypes.Learning
 	)
 
 	created := learning
-	if err := row.Scan(&created.ID, &created.CreatedAt, &created.UpdatedAt); err != nil {
+	var model generatedmodels.ModelPublicLearnings
+	if err := row.Scan(&model.ID, &model.CreatedAt, &model.UpdatedAt); err != nil {
 		return thoughttypes.Learning{}, fmt.Errorf("create learning: %w", err)
 	}
+	created.ID = model.ID.UUID()
+	created.CreatedAt = model.CreatedAt.Time()
+	created.UpdatedAt = model.UpdatedAt.Time()
 	return created, nil
 }
 
@@ -59,7 +63,7 @@ func (db *DB) GetLearning(ctx context.Context, id uuid.UUID) (thoughttypes.Learn
 		select id, summary, details, category, area, status, priority, confidence,
 		       action_required, source_type, source_ref, project_id, related_thought_id,
 		       related_skill_id, reviewed_by, reviewed_at, duplicate_of_learning_id,
-		       supersedes_learning_id, tags, created_at, updated_at
+		       supersedes_learning_id, tags::text[], created_at, updated_at
 		from learnings
 		where id = $1
 	`, id)
@@ -111,7 +115,7 @@ func (db *DB) ListLearnings(ctx context.Context, filter thoughttypes.LearningFil
 		select id, summary, details, category, area, status, priority, confidence,
 		       action_required, source_type, source_ref, project_id, related_thought_id,
 		       related_skill_id, reviewed_by, reviewed_at, duplicate_of_learning_id,
-		       supersedes_learning_id, tags, created_at, updated_at
+		       supersedes_learning_id, tags::text[], created_at, updated_at
 		from learnings
 	`
 	if len(conditions) > 0 {
@@ -148,51 +152,40 @@ type learningScanner interface {
 }
 
 func scanLearning(row learningScanner) (thoughttypes.Learning, error) {
-	var learning thoughttypes.Learning
-	var sourceType pgtype.Text
-	var sourceRef pgtype.Text
-	var reviewedBy pgtype.Text
+	var model generatedmodels.ModelPublicLearnings
 	var tags []string
 
 	err := row.Scan(
-		&learning.ID,
-		&learning.Summary,
-		&learning.Details,
-		&learning.Category,
-		&learning.Area,
-		&learning.Status,
-		&learning.Priority,
-		&learning.Confidence,
-		&learning.ActionRequired,
-		&sourceType,
-		&sourceRef,
-		&learning.ProjectID,
-		&learning.RelatedThoughtID,
-		&learning.RelatedSkillID,
-		&reviewedBy,
-		&learning.ReviewedAt,
-		&learning.DuplicateOfLearningID,
-		&learning.SupersedesLearningID,
+		&model.ID,
+		&model.Summary,
+		&model.Details,
+		&model.Category,
+		&model.Area,
+		&model.Status,
+		&model.Priority,
+		&model.Confidence,
+		&model.ActionRequired,
+		&model.SourceType,
+		&model.SourceRef,
+		&model.ProjectID,
+		&model.RelatedThoughtID,
+		&model.RelatedSkillID,
+		&model.ReviewedBy,
+		&model.ReviewedAt,
+		&model.DuplicateOfLearningID,
+		&model.SupersedesLearningID,
 		&tags,
-		&learning.CreatedAt,
-		&learning.UpdatedAt,
+		&model.CreatedAt,
+		&model.UpdatedAt,
 	)
 	if err != nil {
 		return thoughttypes.Learning{}, err
 	}
 
-	learning.SourceType = sourceType.String
-	learning.SourceRef = sourceRef.String
-	if reviewedBy.Valid {
-		value := reviewedBy.String
-		learning.ReviewedBy = &value
-	}
 	if tags == nil {
-		learning.Tags = []string{}
-	} else {
-		learning.Tags = tags
+		tags = []string{}
 	}
-	return learning, nil
+	return learningFromModel(model, tags), nil
 }
 
 func nullableText(value string) *string {