package openai

import (
	"testing"
	"time"

	"github.com/iomodo/staff/llm"
)

func TestOpenAIProvider_Interface(t *testing.T) {
	// Test that OpenAIProvider implements LLMProvider interface
	var _ llm.LLMProvider = (*OpenAIProvider)(nil)
}

func TestOpenAIFactory_CreateProvider(t *testing.T) {
	factory := &OpenAIFactory{}

	// Test valid config
	config := llm.Config{
		Provider: llm.ProviderOpenAI,
		APIKey:   "test-key",
		BaseURL:  "https://api.openai.com/v1",
		Timeout:  30 * time.Second,
	}

	provider, err := factory.CreateProvider(config)
	if err != nil {
		t.Fatalf("Failed to create provider: %v", err)
	}

	if provider == nil {
		t.Fatal("Provider should not be nil")
	}

	// Test invalid provider
	invalidConfig := llm.Config{
		Provider: llm.ProviderClaude,
		APIKey:   "test-key",
	}

	_, err = factory.CreateProvider(invalidConfig)
	if err == nil {
		t.Fatal("Should fail with invalid provider")
	}

	// Test missing API key
	noKeyConfig := llm.Config{
		Provider: llm.ProviderOpenAI,
		BaseURL:  "https://api.openai.com/v1",
	}

	_, err = factory.CreateProvider(noKeyConfig)
	if err == nil {
		t.Fatal("Should fail with missing API key")
	}
}

func TestOpenAIFactory_SupportsProvider(t *testing.T) {
	factory := &OpenAIFactory{}

	if !factory.SupportsProvider(llm.ProviderOpenAI) {
		t.Fatal("Should support OpenAI provider")
	}

	if factory.SupportsProvider(llm.ProviderClaude) {
		t.Fatal("Should not support Claude provider")
	}
}

func TestOpenAIProvider_ConvertRequest(t *testing.T) {
	provider := &OpenAIProvider{
		config: llm.Config{
			Provider: llm.ProviderOpenAI,
			APIKey:   "test-key",
			BaseURL:  "https://api.openai.com/v1",
		},
	}

	// Test basic request conversion
	req := llm.ChatCompletionRequest{
		Model: "gpt-3.5-turbo",
		Messages: []llm.Message{
			{Role: llm.RoleUser, Content: "Hello"},
		},
		MaxTokens:   &[]int{100}[0],
		Temperature: &[]float64{0.7}[0],
	}

	openAIReq := provider.convertToOpenAIRequest(req)

	if openAIReq.Model != "gpt-3.5-turbo" {
		t.Errorf("Expected model 'gpt-3.5-turbo', got '%s'", openAIReq.Model)
	}

	if len(openAIReq.Messages) != 1 {
		t.Errorf("Expected 1 message, got %d", len(openAIReq.Messages))
	}

	if openAIReq.Messages[0].Role != "user" {
		t.Errorf("Expected role 'user', got '%s'", openAIReq.Messages[0].Role)
	}

	if openAIReq.Messages[0].Content != "Hello" {
		t.Errorf("Expected content 'Hello', got '%s'", openAIReq.Messages[0].Content)
	}

	if *openAIReq.MaxTokens != 100 {
		t.Errorf("Expected max_tokens 100, got %d", *openAIReq.MaxTokens)
	}

	if *openAIReq.Temperature != 0.7 {
		t.Errorf("Expected temperature 0.7, got %f", *openAIReq.Temperature)
	}
}

func TestOpenAIProvider_ConvertResponse(t *testing.T) {
	provider := &OpenAIProvider{
		config: llm.Config{
			Provider: llm.ProviderOpenAI,
			APIKey:   "test-key",
			BaseURL:  "https://api.openai.com/v1",
		},
	}

	// Test basic response conversion
	openAIResp := OpenAIResponse{
		ID:      "test-id",
		Object:  "chat.completion",
		Created: 1234567890,
		Model:   "gpt-3.5-turbo",
		Choices: []OpenAIChoice{
			{
				Index: 0,
				Message: OpenAIMessage{
					Role:    "assistant",
					Content: "Hello! How can I help you?",
				},
				FinishReason: "stop",
			},
		},
		Usage: OpenAIUsage{
			PromptTokens:     10,
			CompletionTokens: 20,
			TotalTokens:      30,
		},
	}

	resp := provider.convertFromOpenAIResponse(openAIResp)

	if resp.ID != "test-id" {
		t.Errorf("Expected ID 'test-id', got '%s'", resp.ID)
	}

	if resp.Model != "gpt-3.5-turbo" {
		t.Errorf("Expected model 'gpt-3.5-turbo', got '%s'", resp.Model)
	}

	if resp.Provider != llm.ProviderOpenAI {
		t.Errorf("Expected provider OpenAI, got %s", resp.Provider)
	}

	if len(resp.Choices) != 1 {
		t.Errorf("Expected 1 choice, got %d", len(resp.Choices))
	}

	if resp.Choices[0].Message.Role != llm.RoleAssistant {
		t.Errorf("Expected role assistant, got %s", resp.Choices[0].Message.Role)
	}

	if resp.Choices[0].Message.Content != "Hello! How can I help you?" {
		t.Errorf("Expected content 'Hello! How can I help you?', got '%s'", resp.Choices[0].Message.Content)
	}

	if resp.Usage.PromptTokens != 10 {
		t.Errorf("Expected prompt tokens 10, got %d", resp.Usage.PromptTokens)
	}

	if resp.Usage.CompletionTokens != 20 {
		t.Errorf("Expected completion tokens 20, got %d", resp.Usage.CompletionTokens)
	}

	if resp.Usage.TotalTokens != 30 {
		t.Errorf("Expected total tokens 30, got %d", resp.Usage.TotalTokens)
	}
}

func TestOpenAIProvider_ConvertRequestWithTools(t *testing.T) {
	provider := &OpenAIProvider{
		config: llm.Config{
			Provider: llm.ProviderOpenAI,
			APIKey:   "test-key",
			BaseURL:  "https://api.openai.com/v1",
		},
	}

	// Test request with tools
	tools := []llm.Tool{
		{
			Type: "function",
			Function: llm.Function{
				Name:        "get_weather",
				Description: "Get weather information",
				Parameters: map[string]interface{}{
					"type": "object",
					"properties": map[string]interface{}{
						"location": map[string]interface{}{
							"type": "string",
						},
					},
				},
			},
		},
	}

	req := llm.ChatCompletionRequest{
		Model: "gpt-3.5-turbo",
		Messages: []llm.Message{
			{Role: llm.RoleUser, Content: "What's the weather like?"},
		},
		Tools: tools,
	}

	openAIReq := provider.convertToOpenAIRequest(req)

	if len(openAIReq.Tools) != 1 {
		t.Errorf("Expected 1 tool, got %d", len(openAIReq.Tools))
	}

	if openAIReq.Tools[0].Type != "function" {
		t.Errorf("Expected tool type 'function', got '%s'", openAIReq.Tools[0].Type)
	}

	if openAIReq.Tools[0].Function.Name != "get_weather" {
		t.Errorf("Expected function name 'get_weather', got '%s'", openAIReq.Tools[0].Function.Name)
	}
}

func TestOpenAIProvider_ConvertResponseWithToolCalls(t *testing.T) {
	provider := &OpenAIProvider{
		config: llm.Config{
			Provider: llm.ProviderOpenAI,
			APIKey:   "test-key",
			BaseURL:  "https://api.openai.com/v1",
		},
	}

	// Test response with tool calls
	openAIResp := OpenAIResponse{
		ID:     "test-id",
		Object: "chat.completion",
		Model:  "gpt-3.5-turbo",
		Choices: []OpenAIChoice{
			{
				Index: 0,
				Message: OpenAIMessage{
					Role: "assistant",
					ToolCalls: []OpenAIToolCall{
						{
							ID:   "call_123",
							Type: "function",
							Function: OpenAIFunction{
								Name: "get_weather",
								Parameters: map[string]interface{}{
									"location": "Tokyo",
								},
							},
						},
					},
				},
				FinishReason: "tool_calls",
			},
		},
		Usage: OpenAIUsage{
			PromptTokens:     10,
			CompletionTokens: 20,
			TotalTokens:      30,
		},
	}

	resp := provider.convertFromOpenAIResponse(openAIResp)

	if len(resp.Choices[0].Message.ToolCalls) != 1 {
		t.Errorf("Expected 1 tool call, got %d", len(resp.Choices[0].Message.ToolCalls))
	}

	if resp.Choices[0].Message.ToolCalls[0].ID != "call_123" {
		t.Errorf("Expected tool call ID 'call_123', got '%s'", resp.Choices[0].Message.ToolCalls[0].ID)
	}

	if resp.Choices[0].Message.ToolCalls[0].Function.Name != "get_weather" {
		t.Errorf("Expected function name 'get_weather', got '%s'", resp.Choices[0].Message.ToolCalls[0].Function.Name)
	}

	if resp.Choices[0].FinishReason != "tool_calls" {
		t.Errorf("Expected finish reason 'tool_calls', got '%s'", resp.Choices[0].FinishReason)
	}
}

func TestOpenAIProvider_ConvertEmbeddingRequest(t *testing.T) {
	req := llm.EmbeddingRequest{
		Input: "Hello, world!",
		Model: "text-embedding-ada-002",
		User:  "test-user",
	}

	// The conversion is done inline in CreateEmbeddings, so we'll test the structure
	if req.Input != "Hello, world!" {
		t.Errorf("Expected input 'Hello, world!', got '%v'", req.Input)
	}

	if req.Model != "text-embedding-ada-002" {
		t.Errorf("Expected model 'text-embedding-ada-002', got '%s'", req.Model)
	}

	if req.User != "test-user" {
		t.Errorf("Expected user 'test-user', got '%s'", req.User)
	}
}

func TestOpenAIProvider_ConvertEmbeddingResponse(t *testing.T) {
	provider := &OpenAIProvider{
		config: llm.Config{
			Provider: llm.ProviderOpenAI,
			APIKey:   "test-key",
			BaseURL:  "https://api.openai.com/v1",
		},
	}

	// Test embedding response conversion
	openAIResp := OpenAIEmbeddingResponse{
		Object: "list",
		Model:  "text-embedding-ada-002",
		Data: []OpenAIEmbeddingData{
			{
				Object:    "embedding",
				Embedding: []float64{0.1, 0.2, 0.3},
				Index:     0,
			},
		},
		Usage: OpenAIUsage{
			PromptTokens:     5,
			CompletionTokens: 0,
			TotalTokens:      5,
		},
	}

	resp := provider.convertFromOpenAIEmbeddingResponse(openAIResp)

	if resp.Object != "list" {
		t.Errorf("Expected object 'list', got '%s'", resp.Object)
	}

	if resp.Model != "text-embedding-ada-002" {
		t.Errorf("Expected model 'text-embedding-ada-002', got '%s'", resp.Model)
	}

	if resp.Provider != llm.ProviderOpenAI {
		t.Errorf("Expected provider OpenAI, got %s", resp.Provider)
	}

	if len(resp.Data) != 1 {
		t.Errorf("Expected 1 embedding, got %d", len(resp.Data))
	}

	if len(resp.Data[0].Embedding) != 3 {
		t.Errorf("Expected embedding dimension 3, got %d", len(resp.Data[0].Embedding))
	}

	if resp.Data[0].Embedding[0] != 0.1 {
		t.Errorf("Expected first embedding value 0.1, got %f", resp.Data[0].Embedding[0])
	}
}

func TestOpenAIProvider_Close(t *testing.T) {
	provider := &OpenAIProvider{
		config: llm.Config{
			Provider: llm.ProviderOpenAI,
			APIKey:   "test-key",
			BaseURL:  "https://api.openai.com/v1",
		},
	}

	// Test that Close doesn't return an error
	err := provider.Close()
	if err != nil {
		t.Errorf("Close should not return an error: %v", err)
	}
}

func TestOpenAIProvider_Integration(t *testing.T) {
	// This test would require a real API key and would make actual API calls
	// It's commented out to avoid making real API calls during testing
	/*
		config := Config{
			Provider: ProviderOpenAI,
			APIKey:   "your-real-api-key",
			BaseURL:  "https://api.openai.com/v1",
			Timeout:  30 * time.Second,
		}

		provider, err := CreateProvider(config)
		if err != nil {
			t.Fatalf("Failed to create provider: %v", err)
		}
		defer provider.Close()

		req := ChatCompletionRequest{
			Model: "gpt-3.5-turbo",
			Messages: []Message{
				{Role: RoleUser, Content: "Say hello!"},
			},
			MaxTokens: &[]int{50}[0],
		}

		resp, err := provider.ChatCompletion(context.Background(), req)
		if err != nil {
			t.Fatalf("Chat completion failed: %v", err)
		}

		if len(resp.Choices) == 0 {
			t.Fatal("Expected at least one choice")
		}

		if resp.Choices[0].Message.Content == "" {
			t.Fatal("Expected non-empty response content")
		}
	*/
}