chore(ci): fix gallery agent linting issues

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

.github/gallery-agent/gallery.go

@@ -43,7 +43,18 @@ func generateYAMLEntry(model ProcessedModel, familyAnchor string) string {
 	description = cleanTextContent(description)
 
 	// Format description for YAML (indent each line and ensure no trailing spaces)
-	formattedDescription := strings.ReplaceAll(description, "\n", "\n    ")
+	lines := strings.Split(description, "\n")
+	var formattedLines []string
+	for _, line := range lines {
+		if strings.TrimSpace(line) == "" {
+			// Keep empty lines as empty (no indentation)
+			formattedLines = append(formattedLines, "")
+		} else {
+			// Add indentation to non-empty lines
+			formattedLines = append(formattedLines, "    "+line)
+		}
+	}
+	formattedDescription := strings.Join(formattedLines, "\n")
 	// Remove any trailing spaces from the formatted description
 	formattedDescription = strings.TrimRight(formattedDescription, " \t")
 	yamlTemplate := ""
@@ -53,15 +64,14 @@ func generateYAMLEntry(model ProcessedModel, familyAnchor string) string {
   urls:
     - https://huggingface.co/%s
   description: |
-    %s
+%s
   overrides:
     parameters:
       model: %s
   files:
     - filename: %s
       sha256: %s
-      uri: huggingface://%s/%s
-`
+      uri: huggingface://%s/%s`
 		return fmt.Sprintf(yamlTemplate,
 			familyAnchor,
 			modelName,
@@ -79,11 +89,10 @@ func generateYAMLEntry(model ProcessedModel, familyAnchor string) string {
   urls:
     - https://huggingface.co/%s
   description: |
-    %s
+%s
   overrides:
     parameters:
-      model: %s
-`
+      model: %s`
 		return fmt.Sprintf(yamlTemplate,
 			familyAnchor,
 			modelName,
@@ -179,7 +188,7 @@ func generateYAMLForModels(ctx context.Context, models []ProcessedModel) error {
 		// Remove trailing whitespace from existing content and join entries without extra newlines
 		existingContent := strings.TrimRight(string(content), " \t\n\r")
 		yamlBlock := strings.Join(yamlEntries, "\n")
-		newContent := existingContent + "\n" + yamlBlock
+		newContent := existingContent + "\n" + yamlBlock + "\n"
 
 		// Write back to file
 		err = os.WriteFile(indexPath, []byte(newContent), 0644)

.github/gallery-agent/go.mod

@@ -8,6 +8,7 @@ require (
 	github.com/onsi/gomega v1.38.2
 	github.com/sashabaranov/go-openai v1.41.2
 	github.com/tmc/langchaingo v0.1.13
+	gopkg.in/yaml.v3 v3.0.1
 )
 
 require (

.github/gallery-agent/main.go

@@ -45,6 +45,18 @@ type SearchResult struct {
 }
 
 func main() {
+	// Check for synthetic mode
+	syntheticMode := os.Getenv("SYNTHETIC_MODE")
+	if syntheticMode == "true" || syntheticMode == "1" {
+		fmt.Println("Running in SYNTHETIC MODE - generating random test data")
+		err := runSyntheticMode()
+		if err != nil {
+			fmt.Fprintf(os.Stderr, "Error in synthetic mode: %v\n", err)
+			os.Exit(1)
+		}
+		return
+	}
+
 	// Get configuration from environment variables
 	searchTerm := os.Getenv("SEARCH_TERM")
 	if searchTerm == "" {

.github/gallery-agent/testing.go

@@ -0,0 +1,190 @@
+package main
+
+import (
+	"context"
+	"fmt"
+	"math/rand"
+	"strings"
+	"time"
+)
+
+// runSyntheticMode generates synthetic test data and appends it to the gallery
+func runSyntheticMode() error {
+	generator := NewSyntheticDataGenerator()
+
+	// Generate a random number of synthetic models (1-3)
+	numModels := generator.rand.Intn(3) + 1
+	fmt.Printf("Generating %d synthetic models for testing...\n", numModels)
+
+	var models []ProcessedModel
+	for i := 0; i < numModels; i++ {
+		model := generator.GenerateProcessedModel()
+		models = append(models, model)
+		fmt.Printf("Generated synthetic model: %s\n", model.ModelID)
+	}
+
+	// Generate YAML entries and append to gallery/index.yaml
+	fmt.Println("Generating YAML entries for synthetic models...")
+	err := generateYAMLForModels(context.Background(), models)
+	if err != nil {
+		return fmt.Errorf("error generating YAML entries: %w", err)
+	}
+
+	fmt.Printf("Successfully added %d synthetic models to the gallery for testing!\n", len(models))
+	return nil
+}
+
+// SyntheticDataGenerator provides methods to generate synthetic test data
+type SyntheticDataGenerator struct {
+	rand *rand.Rand
+}
+
+// NewSyntheticDataGenerator creates a new synthetic data generator
+func NewSyntheticDataGenerator() *SyntheticDataGenerator {
+	return &SyntheticDataGenerator{
+		rand: rand.New(rand.NewSource(time.Now().UnixNano())),
+	}
+}
+
+// GenerateProcessedModelFile creates a synthetic ProcessedModelFile
+func (g *SyntheticDataGenerator) GenerateProcessedModelFile() ProcessedModelFile {
+	fileTypes := []string{"model", "readme", "other"}
+	fileType := fileTypes[g.rand.Intn(len(fileTypes))]
+
+	var path string
+	var isReadme bool
+
+	switch fileType {
+	case "model":
+		path = fmt.Sprintf("model-%s.gguf", g.randomString(8))
+		isReadme = false
+	case "readme":
+		path = "README.md"
+		isReadme = true
+	default:
+		path = fmt.Sprintf("file-%s.txt", g.randomString(6))
+		isReadme = false
+	}
+
+	return ProcessedModelFile{
+		Path:     path,
+		Size:     int64(g.rand.Intn(1000000000) + 1000000), // 1MB to 1GB
+		SHA256:   g.randomSHA256(),
+		IsReadme: isReadme,
+		FileType: fileType,
+	}
+}
+
+// GenerateProcessedModel creates a synthetic ProcessedModel
+func (g *SyntheticDataGenerator) GenerateProcessedModel() ProcessedModel {
+	authors := []string{"microsoft", "meta", "google", "openai", "anthropic", "mistralai", "huggingface"}
+	modelNames := []string{"llama", "gpt", "claude", "mistral", "gemma", "phi", "qwen", "codellama"}
+
+	author := authors[g.rand.Intn(len(authors))]
+	modelName := modelNames[g.rand.Intn(len(modelNames))]
+	modelID := fmt.Sprintf("%s/%s-%s", author, modelName, g.randomString(6))
+
+	// Generate files
+	numFiles := g.rand.Intn(5) + 2 // 2-6 files
+	files := make([]ProcessedModelFile, numFiles)
+
+	// Ensure at least one model file and one readme
+	hasModelFile := false
+	hasReadme := false
+
+	for i := 0; i < numFiles; i++ {
+		files[i] = g.GenerateProcessedModelFile()
+		if files[i].FileType == "model" {
+			hasModelFile = true
+		}
+		if files[i].FileType == "readme" {
+			hasReadme = true
+		}
+	}
+
+	// Add required files if missing
+	if !hasModelFile {
+		modelFile := g.GenerateProcessedModelFile()
+		modelFile.FileType = "model"
+		modelFile.Path = fmt.Sprintf("%s-Q4_K_M.gguf", modelName)
+		files = append(files, modelFile)
+	}
+
+	if !hasReadme {
+		readmeFile := g.GenerateProcessedModelFile()
+		readmeFile.FileType = "readme"
+		readmeFile.Path = "README.md"
+		readmeFile.IsReadme = true
+		files = append(files, readmeFile)
+	}
+
+	// Find preferred model file
+	var preferredModelFile *ProcessedModelFile
+	for i := range files {
+		if files[i].FileType == "model" {
+			preferredModelFile = &files[i]
+			break
+		}
+	}
+
+	// Find readme file
+	var readmeFile *ProcessedModelFile
+	for i := range files {
+		if files[i].FileType == "readme" {
+			readmeFile = &files[i]
+			break
+		}
+	}
+
+	readmeContent := g.generateReadmeContent(modelName, author)
+
+	return ProcessedModel{
+		ModelID:                 modelID,
+		Author:                  author,
+		Downloads:               g.rand.Intn(1000000) + 1000,
+		LastModified:            g.randomDate(),
+		Files:                   files,
+		PreferredModelFile:      preferredModelFile,
+		ReadmeFile:              readmeFile,
+		ReadmeContent:           readmeContent,
+		ReadmeContentPreview:    truncateString(readmeContent, 200),
+		QuantizationPreferences: []string{"Q4_K_M", "Q4_K_S", "Q3_K_M", "Q2_K"},
+		ProcessingError:         "",
+	}
+}
+
+// Helper methods for synthetic data generation
+func (g *SyntheticDataGenerator) randomString(length int) string {
+	const charset = "abcdefghijklmnopqrstuvwxyz0123456789"
+	b := make([]byte, length)
+	for i := range b {
+		b[i] = charset[g.rand.Intn(len(charset))]
+	}
+	return string(b)
+}
+
+func (g *SyntheticDataGenerator) randomSHA256() string {
+	const charset = "0123456789abcdef"
+	b := make([]byte, 64)
+	for i := range b {
+		b[i] = charset[g.rand.Intn(len(charset))]
+	}
+	return string(b)
+}
+
+func (g *SyntheticDataGenerator) randomDate() string {
+	now := time.Now()
+	daysAgo := g.rand.Intn(365) // Random date within last year
+	pastDate := now.AddDate(0, 0, -daysAgo)
+	return pastDate.Format("2006-01-02T15:04:05.000Z")
+}
+
+func (g *SyntheticDataGenerator) generateReadmeContent(modelName, author string) string {
+	templates := []string{
+		fmt.Sprintf("# %s Model\n\nThis is a %s model developed by %s. It's designed for various natural language processing tasks including text generation, question answering, and conversation.\n\n## Features\n\n- High-quality text generation\n- Efficient inference\n- Multiple quantization options\n- Easy to use with LocalAI\n\n## Usage\n\nUse this model with LocalAI for various AI tasks.", strings.Title(modelName), modelName, author),
+		fmt.Sprintf("# %s\n\nA powerful language model from %s. This model excels at understanding and generating human-like text across multiple domains.\n\n## Capabilities\n\n- Text completion\n- Code generation\n- Creative writing\n- Technical documentation\n\n## Model Details\n\n- Architecture: Transformer-based\n- Training: Large-scale supervised learning\n- Quantization: Available in multiple formats", strings.Title(modelName), author),
+		fmt.Sprintf("# %s Language Model\n\nDeveloped by %s, this model represents state-of-the-art performance in natural language understanding and generation.\n\n## Key Features\n\n- Multilingual support\n- Context-aware responses\n- Efficient memory usage\n- Fast inference speed\n\n## Applications\n\n- Chatbots and virtual assistants\n- Content generation\n- Code completion\n- Educational tools", strings.Title(modelName), author),
+	}
+
+	return templates[g.rand.Intn(len(templates))]
+}