package main

import (
	"bytes"
	"encoding/json"
	"fmt"
	"io"
	"net/http"
	"os"

	"o5r.ca/autocrossbow/contributions"
	"o5r.ca/autocrossbow/issues"
	"o5r.ca/autocrossbow/issues/vikunja"
)

const defaultPrompt = `I will provide you, for a given period, with an employee name and a list of Pull Request titles and summaries split by repository, and a list of Jira Issues an employee has worked on. I may also provide, optionally, the employee's self-assessment. If I do, integrate that.

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) (string, error) {
	// Build a prompt string
	prompt := defaultPrompt + fmt.Sprintf("\n\nHere's the PRs and Tickets for the employee %s:\n\n", employeename)
	for repo, prList := range prs {
		prompt += fmt.Sprintf("Repository: %s\n", repo)
		for _, pr := range prList {
			prompt += fmt.Sprintf("- Title: %s\n", pr.Title)
			prompt += fmt.Sprintf("  Body: %s\n", pr.Body)
		}
	}
	prompt += fmt.Sprintf("Issues:")
	for _, issue := range issues {
		prompt += fmt.Sprintf("Summary: %s\n", issue.Summary)
		prompt += fmt.Sprintf("Description: %s\n", issue.Description)
		prompt += fmt.Sprintf("--------")
	}

	// Get OpenAI endpoint and token from environment variables
	openaiEndpoint := os.Getenv("OPENAI_ENDPOINT")
	openaiToken := os.Getenv("OPENAI_TOKEN")
	openaiModel := os.Getenv("OPENAI_MODEL")

	if openaiEndpoint == "" || openaiToken == "" {
		return "", fmt.Errorf("OPENAI_ENDPOINT and OPENAI_TOKEN must be set in environment variables")
	}

	// Create a JSON payload for the OpenAI API
	payload := struct {
		Model    string `json:"model"`
		Messages []struct {
			Role    string `json:"role"`
			Content string `json:"content"`
		} `json:"messages"`
	}{
		Model: openaiModel,
		Messages: []struct {
			Role    string `json:"role"`
			Content string `json:"content"`
		}{{Role: "system", Content: prompt}},
	}

	jsonPayload, err := json.Marshal(payload)
	fmt.Println(string(jsonPayload))
	if err != nil {
		return "", err
	}

	// Create a POST request to the OpenAI endpoint with JSON body
	req, err := http.NewRequest("POST", openaiEndpoint, bytes.NewBuffer(jsonPayload))
	if err != nil {
		return "", err
	}
	req.Header.Set("Content-Type", "application/json")
	req.Header.Set("Authorization", fmt.Sprintf("Bearer %s", openaiToken))

	client := &http.Client{}
	resp, err := client.Do(req)
	if err != nil {
		return "", err
	}
	defer resp.Body.Close()

	body, err := io.ReadAll(resp.Body)
	if err != nil {
		return "", err
	}

	//parts := strings.Split(body, "think")

	return string(body), nil
}