refactor: extract callSummarizationEndpoint into Summarizer interface for multiple implementations

Co-authored-by: aider (openai/qwen3-coder:30b-a3b-q4_K_M) <aider@aider.chat>

cmd/acb/summarize.go

@@ -19,38 +19,16 @@ const defaultPrompt = `I will provide you, for a given period, with an employee
 I'd like you to summarize the employee's accomplishments for the quarter
 I'd like the summary for the accomplishments to be in prose form, in a few paragraphs separated based on areas of work. Keep answers to 500 words for the summary.`
 
-// buildPrompt constructs the prompt string from PRs, issues, and tasks
+// Summarizer interface defines the contract for summarization implementations
-func buildPrompt(employeename string, prs map[string][]contributions.PullRequest, issues []issues.Issue, tasks []vikunja.Task, prompt string) string {
+type Summarizer interface {
-	// Build a prompt string
+	Summarize(prompt string, endpoint string, token string, model string) (string, error)
-	fullPrompt := prompt + fmt.Sprintf("\n\nHere's the PRs and Tickets for the employee %s:\n\n", employeename)
-	for repo, prList := range prs {
-		fullPrompt += fmt.Sprintf("Repository: %s\n", repo)
-		for _, pr := range prList {
-			fullPrompt += fmt.Sprintf("- Title: %s\n", pr.Title)
-			fullPrompt += fmt.Sprintf("  Body: %s\n", pr.Body)
-		}
-	}
-	fullPrompt += "Issues:\n"
-	for _, issue := range issues {
-		fullPrompt += fmt.Sprintf("Summary: %s\n", issue.Summary)
-		fullPrompt += fmt.Sprintf("Description: %s\n", issue.Description)
-		fullPrompt += "--------\n"
 }
 
-	// Save prompt to file for debugging
+// OpenAISummarizer implements the Summarizer interface for OpenAI-compatible endpoints
-	promptf, err := os.Create(fmt.Sprintf("prompt-%s-%d.json", employeename, time.Now().Unix()))
+type OpenAISummarizer struct{}
-	if err != nil {
-		fmt.Println(fmt.Errorf("error creating PR file: %w", err))
-		os.Exit(1)
-	}
-	promptf.WriteString(fullPrompt)
-	defer promptf.Close()
 
-	return fullPrompt
+// Summarize sends the prompt to an OpenAI-compatible endpoint for summarization
-}
+func (o *OpenAISummarizer) Summarize(fullPrompt string, openaiEndpoint string, openaiToken string, openaiModel string) (string, error) {
-
-// callSummarizationEndpoint sends the prompt to an OpenAI-compatible endpoint for summarization
-func callSummarizationEndpoint(fullPrompt string, openaiEndpoint string, openaiToken string, openaiModel string) (string, error) {
 	// Create a JSON payload for the OpenAI API
 	payload := struct {
 		Model    string `json:"model"`
@@ -95,14 +73,44 @@ func callSummarizationEndpoint(fullPrompt string, openaiEndpoint string, openaiT
 	return string(body), nil
 }
 
+// buildPrompt constructs the prompt string from PRs, issues, and tasks
+func buildPrompt(employeename string, prs map[string][]contributions.PullRequest, issues []issues.Issue, tasks []vikunja.Task, prompt string) string {
+	// Build a prompt string
+	fullPrompt := prompt + fmt.Sprintf("\n\nHere's the PRs and Tickets for the employee %s:\n\n", employeename)
+	for repo, prList := range prs {
+		fullPrompt += fmt.Sprintf("Repository: %s\n", repo)
+		for _, pr := range prList {
+			fullPrompt += fmt.Sprintf("- Title: %s\n", pr.Title)
+			fullPrompt += fmt.Sprintf("  Body: %s\n", pr.Body)
+		}
+	}
+	fullPrompt += "Issues:\n"
+	for _, issue := range issues {
+		fullPrompt += fmt.Sprintf("Summary: %s\n", issue.Summary)
+		fullPrompt += fmt.Sprintf("Description: %s\n", issue.Description)
+		fullPrompt += "--------\n"
+	}
+	
+	// Save prompt to file for debugging
+	promptf, err := os.Create(fmt.Sprintf("prompt-%s-%d.json", employeename, time.Now().Unix()))
+	if err != nil {
+		fmt.Println(fmt.Errorf("error creating PR file: %w", err))
+		os.Exit(1)
+	}
+	promptf.WriteString(fullPrompt)
+	defer promptf.Close()
+	
+	return fullPrompt
+}
+
 // SummarizeData builds the prompt and calls the summarization endpoint
-func SummarizeData(employeename string, prs map[string][]contributions.PullRequest, issues []issues.Issue, tasks []vikunja.Task, prompt string, openaiEndpoint string, openaiToken string, openaiModel string) (string, error) {
+func SummarizeData(employeename string, prs map[string][]contributions.PullRequest, issues []issues.Issue, tasks []vikunja.Task, prompt string, openaiEndpoint string, openaiToken string, openaiModel string, summarizer Summarizer) (string, error) {
 	// Build the prompt
 	fullPrompt := buildPrompt(employeename, prs, issues, tasks, prompt)
 	
 	// Call the summarization endpoint only if OpenAI env vars are set
 	if openaiEndpoint != "" && openaiToken != "" {
-		result, err := callSummarizationEndpoint(fullPrompt, openaiEndpoint, openaiToken, openaiModel)
+		result, err := summarizer.Summarize(fullPrompt, openaiEndpoint, openaiToken, openaiModel)
 		if err != nil {
 			return "", err
 		}