package main

import (
	"bytes"
	"encoding/base64"
	"encoding/json"
	"fmt"
	"io"
	"net/http"
	"testing"
)

func TestMessageBuilder(t *testing.T) {
	content := OpenAiMessages{}

	err := content.AddSystem("Some prompt")

	if err != nil {
		t.Log(err)
		t.FailNow()
	}

	if len(content.Messages) != 1 {
		t.Logf("Expected length 1, got %d.\n", len(content.Messages))
		t.FailNow()
	}
}

func TestMessageBuilderImage(t *testing.T) {
	content := OpenAiMessages{}

	prompt := "some prompt"
	imageTitle := "image.png"
	data := []byte("some data")

	content.AddSystem(prompt)
	content.AddImage(imageTitle, data)

	if len(content.Messages) != 2 {
		t.Logf("Expected length 2, got %d.\n", len(content.Messages))
		t.FailNow()
	}

	promptMessage, ok := content.Messages[0].(OpenAiTextMessage)
	if !ok {
		t.Logf("Expected text content message, got %T\n", content.Messages[0])
		t.FailNow()
	}

	if promptMessage.Role != ROLE_SYSTEM {
		t.Log("Prompt message role is incorrect.")
		t.FailNow()
	}

	if promptMessage.Content != prompt {
		t.Log("Prompt message content is incorrect.")
		t.FailNow()
	}

	arrayContentMessage, ok := content.Messages[1].(OpenAiArrayMessage)
	if !ok {
		t.Logf("Expected text content message, got %T\n", content.Messages[1])
		t.FailNow()
	}

	if arrayContentMessage.Role != ROLE_USER {
		t.Log("Array content message role is incorrect.")
		t.FailNow()
	}

	if len(arrayContentMessage.Content) != 1 {
		t.Logf("Expected length 1, got %d.\n", len(arrayContentMessage.Content))
		t.FailNow()
	}

	imageContent, ok := arrayContentMessage.Content[0].(OpenAiImage)
	if !ok {
		t.Logf("Expected text content message, got %T\n", arrayContentMessage.Content[0])
		t.FailNow()
	}

	base64data := base64.StdEncoding.EncodeToString(data)
	url := fmt.Sprintf("data:image/%s;base64,%s", "png", base64data)

	if imageContent.ImageUrl != url {
		t.Logf("Expected %s, but got %s.\n", url, imageContent.ImageUrl)
		t.FailNow()
	}
}

func TestFullImageRequest(t *testing.T) {
	request, err := getCompletionsForImage("model", 0.1, "You are an assistant", "image.png", "", []byte("some data"))
	if err != nil {
		t.Log(request)
		t.FailNow()
	}

	jsonData, err := json.Marshal(request)
	if err != nil {
		t.Log(err)
		t.FailNow()
	}

	expectedJson := `{"model":"model","temperature":0.1,"response_format":{"type":"json_schema","json_schema":""},"messages":[{"role":"system","content":"You are an assistant"},{"role":"user","content":[{"type":"image_url","image_url":{"url":"data:image/png;base64,c29tZSBkYXRh"}}]}]}`

	if string(jsonData) != expectedJson {
		t.Logf("Expected:\n%s\n Got:\n%s\n", expectedJson, string(jsonData))
		t.FailNow()
	}
}

func TestResponse(t *testing.T) {
	testResponse := `{"tags": ["tag1", "tag2"], "text": ["text1"], "links": []}`
	buffer := bytes.NewReader([]byte(testResponse))

	body := io.NopCloser(buffer)

	client := OpenAiClient{
		url:    "http://localhost:1234",
		apiKey: "some-key",
		Do: func(_req *http.Request) (*http.Response, error) {
			return &http.Response{Body: body}, nil
		},
	}

	info, err := client.GetImageInfo("image.png", []byte("some data"))
	if err != nil {
		t.Log(err)
		t.FailNow()
	}

	if len(info.Tags) != 2 || len(info.Text) != 1 || len(info.Links) != 0 {
		t.Logf("Some lengths are wrong.\nTags: %d\nText: %d\nLinks: %d\n", len(info.Tags), len(info.Text), len(info.Links))
		t.FailNow()
	}

	if info.Tags[0] != "tag1" {
		t.Log("0th tag is wrong.")
		t.FailNow()
	}

	if info.Tags[1] != "tag2" {
		t.Log("1th tag is wrong.")
		t.FailNow()
	}

	if info.Text[0] != "text1" {
		t.Log("0th text is wrong.")
		t.FailNow()
	}
}

func TestResponseParsing(t *testing.T) {
	response := `{
  "id": "chatcmpl-B4XgiHcd7A2nyK7eyARdggSvfFuWQ",
  "object": "chat.completion",
  "created": 1740422508,
  "model": "gpt-4o-mini-2024-07-18",
  "choices": [
    {
      "index": 0,
      "message": {
        "role": "assistant",
        "content": "{\"links\":[\"link\"],\"tags\":[\"tag\"],\"text\":[\"text\"]}",
        "refusal": null
      },
      "logprobs": null,
      "finish_reason": "stop"
    }
  ],
  "usage": {
    "prompt_tokens": 775,
    "completion_tokens": 33,
    "total_tokens": 808,
    "prompt_tokens_details": {
      "cached_tokens": 0,
      "audio_tokens": 0
    },
    "completion_tokens_details": {
      "reasoning_tokens": 0,
      "audio_tokens": 0,
      "accepted_prediction_tokens": 0,
      "rejected_prediction_tokens": 0
    }
  },
  "service_tier": "default",
  "system_fingerprint": "fp_7fcd609668"
}`

	imageParsed, err := parseOpenAiResponse([]byte(response))
	if err != nil {
		t.Log(err)
		t.FailNow()
	}

	if len(imageParsed.Links) != 1 || imageParsed.Links[0] != "link" {
		t.Log(imageParsed)
		t.Log("Should have one link called 'link'.")
		t.FailNow()
	}

	if len(imageParsed.Tags) != 1 || imageParsed.Tags[0] != "tag" {
		t.Log(imageParsed)
		t.Log("Should have one tag called 'tag'.")
		t.FailNow()
	}

	if len(imageParsed.Text) != 1 || imageParsed.Text[0] != "text" {
		t.Log(imageParsed)
		t.Log("Should have one text called 'text'.")
		t.FailNow()
	}
}