refactor: split SummarizeData into buildPrompt and callSummarizationEndpoint functions

Co-authored-by: aider (openai/qwen3-coder:30b-a3b-q4_K_M) <aider@aider.chat>
This commit is contained in:
Olivier Tremblay 2025-11-14 11:06:33 -05:00
parent dff9c6fb86
commit 038ee769bb

View file

@ -19,8 +19,8 @@ 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.`
// SummarizeData takes GitHub PRs and Jira issues data and sends it to an OpenAI-compatible endpoint for summarization.
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) {
// 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 {
@ -36,6 +36,8 @@ func SummarizeData(employeename string, prs map[string][]contributions.PullReque
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))
@ -43,7 +45,12 @@ func SummarizeData(employeename string, prs map[string][]contributions.PullReque
}
promptf.WriteString(fullPrompt)
defer promptf.Close()
return fullPrompt
}
// 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"`
@ -85,7 +92,19 @@ func SummarizeData(employeename string, prs map[string][]contributions.PullReque
return "", err
}
//parts := strings.Split(body, "think")
return string(body), nil
}
// 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) {
// Build the prompt
fullPrompt := buildPrompt(employeename, prs, issues, tasks, prompt)
// Call the summarization endpoint
result, err := callSummarizationEndpoint(fullPrompt, openaiEndpoint, openaiToken, openaiModel)
if err != nil {
return "", err
}
return result, nil
}