package middleware

import (
	"bytes"
	"encoding/base64"
	"encoding/json"
	"io"
	"net/http"
	"net/http/httptest"
	"reflect"
	"strings"
	"testing"
	"time"

	"github.com/gin-gonic/gin"
	"github.com/google/go-cmp/cmp"
	"github.com/klauspost/compress/zstd"

	"github.com/ollama/ollama/api"
	"github.com/ollama/ollama/openai"
)

// testPropsMap creates a ToolPropertiesMap from a map (convenience function for tests)
func testPropsMap(m map[string]api.ToolProperty) *api.ToolPropertiesMap {
	props := api.NewToolPropertiesMap()
	for k, v := range m {
		props.Set(k, v)
	}
	return props
}

// testArgs creates ToolCallFunctionArguments from a map (convenience function for tests)
func testArgs(m map[string]any) api.ToolCallFunctionArguments {
	args := api.NewToolCallFunctionArguments()
	for k, v := range m {
		args.Set(k, v)
	}
	return args
}

// argsComparer provides cmp options for comparing ToolCallFunctionArguments by value
var argsComparer = cmp.Comparer(func(a, b api.ToolCallFunctionArguments) bool {
	return cmp.Equal(a.ToMap(), b.ToMap())
})

// propsComparer provides cmp options for comparing ToolPropertiesMap by value
var propsComparer = cmp.Comparer(func(a, b *api.ToolPropertiesMap) bool {
	if a == nil && b == nil {
		return true
	}
	if a == nil || b == nil {
		return false
	}
	return cmp.Equal(a.ToMap(), b.ToMap())
})

const (
	prefix = `data:image/jpeg;base64,`
	image  = `iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAQAAAC1HAwCAAAAC0lEQVR42mNk+A8AAQUBAScY42YAAAAASUVORK5CYII=`
)

var (
	False = false
	True  = true
)

func captureRequestMiddleware(capturedRequest any) gin.HandlerFunc {
	return func(c *gin.Context) {
		bodyBytes, _ := io.ReadAll(c.Request.Body)
		c.Request.Body = io.NopCloser(bytes.NewReader(bodyBytes))
		err := json.Unmarshal(bodyBytes, capturedRequest)
		if err != nil {
			c.AbortWithStatusJSON(http.StatusInternalServerError, "failed to unmarshal request")
		}
		c.Next()
	}
}

func sseDataFrames(body string) []string {
	frames := strings.Split(body, "\n\n")
	data := make([]string, 0, len(frames))
	for _, frame := range frames {
		frame = strings.TrimSpace(frame)
		if !strings.HasPrefix(frame, "data: ") {
			continue
		}
		data = append(data, strings.TrimPrefix(frame, "data: "))
	}
	return data
}

func TestChatWriter_StreamMixedThinkingAndContentEmitsSplitChunks(t *testing.T) {
	gin.SetMode(gin.TestMode)
	recorder := httptest.NewRecorder()
	context, _ := gin.CreateTestContext(recorder)

	writer := &ChatWriter{
		stream:        true,
		streamOptions: &openai.StreamOptions{IncludeUsage: true},
		id:            "chatcmpl-test",
		BaseWriter:    BaseWriter{ResponseWriter: context.Writer},
	}

	response := api.ChatResponse{
		Model: "test-model",
		Message: api.Message{
			Thinking: "reasoning",
			Content:  "final answer",
		},
		Done:       true,
		DoneReason: "stop",
		Metrics: api.Metrics{
			PromptEvalCount: 3,
			EvalCount:       2,
		},
	}

	data, err := json.Marshal(response)
	if err != nil {
		t.Fatalf("marshal response: %v", err)
	}

	if _, err = writer.Write(data); err != nil {
		t.Fatalf("write response: %v", err)
	}

	if got := recorder.Header().Get("Content-Type"); got != "text/event-stream" {
		t.Fatalf("expected Content-Type text/event-stream, got %q", got)
	}

	frames := sseDataFrames(recorder.Body.String())
	if len(frames) != 4 {
		t.Fatalf("expected 4 SSE data frames (2 chunks + usage + [DONE]), got %d:\n%s", len(frames), recorder.Body.String())
	}
	if frames[3] != "[DONE]" {
		t.Fatalf("expected final frame [DONE], got %q", frames[3])
	}

	var reasoningChunk openai.ChatCompletionChunk
	if err := json.Unmarshal([]byte(frames[0]), &reasoningChunk); err != nil {
		t.Fatalf("unmarshal reasoning chunk: %v", err)
	}

	var contentChunk openai.ChatCompletionChunk
	if err := json.Unmarshal([]byte(frames[1]), &contentChunk); err != nil {
		t.Fatalf("unmarshal content chunk: %v", err)
	}

	var usageChunk openai.ChatCompletionChunk
	if err := json.Unmarshal([]byte(frames[2]), &usageChunk); err != nil {
		t.Fatalf("unmarshal usage chunk: %v", err)
	}

	if len(reasoningChunk.Choices) != 1 {
		t.Fatalf("expected 1 reasoning choice, got %d", len(reasoningChunk.Choices))
	}
	if reasoningChunk.Choices[0].Delta.Reasoning != "reasoning" {
		t.Fatalf("expected reasoning chunk reasoning %q, got %q", "reasoning", reasoningChunk.Choices[0].Delta.Reasoning)
	}
	if reasoningChunk.Choices[0].Delta.Content != "" {
		t.Fatalf("expected reasoning chunk content to be empty, got %v", reasoningChunk.Choices[0].Delta.Content)
	}
	if reasoningChunk.Choices[0].FinishReason != nil {
		t.Fatalf("expected reasoning chunk finish reason nil, got %v", reasoningChunk.Choices[0].FinishReason)
	}

	if len(contentChunk.Choices) != 1 {
		t.Fatalf("expected 1 content choice, got %d", len(contentChunk.Choices))
	}
	if contentChunk.Choices[0].Delta.Reasoning != "" {
		t.Fatalf("expected content chunk reasoning to be empty, got %q", contentChunk.Choices[0].Delta.Reasoning)
	}
	if contentChunk.Choices[0].Delta.Content != "final answer" {
		t.Fatalf("expected content chunk content %q, got %v", "final answer", contentChunk.Choices[0].Delta.Content)
	}
	if contentChunk.Choices[0].FinishReason == nil || *contentChunk.Choices[0].FinishReason != "stop" {
		t.Fatalf("expected content chunk finish reason %q, got %v", "stop", contentChunk.Choices[0].FinishReason)
	}

	if usageChunk.Usage == nil {
		t.Fatal("expected usage chunk to include usage")
	}
	if usageChunk.Usage.TotalTokens != 5 {
		t.Fatalf("expected usage total tokens 5, got %d", usageChunk.Usage.TotalTokens)
	}
	if len(usageChunk.Choices) != 0 {
		t.Fatalf("expected usage chunk choices to be empty, got %d", len(usageChunk.Choices))
	}
}

func TestChatWriter_StreamSingleChunkPathStillEmitsOneChunk(t *testing.T) {
	gin.SetMode(gin.TestMode)
	recorder := httptest.NewRecorder()
	context, _ := gin.CreateTestContext(recorder)

	writer := &ChatWriter{
		stream:     true,
		id:         "chatcmpl-test",
		BaseWriter: BaseWriter{ResponseWriter: context.Writer},
	}

	response := api.ChatResponse{
		Model: "test-model",
		Message: api.Message{
			Content: "single chunk",
		},
		Done:       true,
		DoneReason: "stop",
	}

	data, err := json.Marshal(response)
	if err != nil {
		t.Fatalf("marshal response: %v", err)
	}

	if _, err = writer.Write(data); err != nil {
		t.Fatalf("write response: %v", err)
	}

	frames := sseDataFrames(recorder.Body.String())
	if len(frames) != 2 {
		t.Fatalf("expected 2 SSE data frames (1 chunk + [DONE]), got %d:\n%s", len(frames), recorder.Body.String())
	}
	if frames[1] != "[DONE]" {
		t.Fatalf("expected final frame [DONE], got %q", frames[1])
	}

	var chunk openai.ChatCompletionChunk
	if err := json.Unmarshal([]byte(frames[0]), &chunk); err != nil {
		t.Fatalf("unmarshal chunk: %v", err)
	}
	if len(chunk.Choices) != 1 {
		t.Fatalf("expected 1 chunk choice, got %d", len(chunk.Choices))
	}
	if chunk.Choices[0].Delta.Content != "single chunk" {
		t.Fatalf("expected chunk content %q, got %v", "single chunk", chunk.Choices[0].Delta.Content)
	}
}

func TestChatWriter_StreamMixedThinkingAndToolCallsWithoutDoneEmitsChunksOnly(t *testing.T) {
	gin.SetMode(gin.TestMode)
	recorder := httptest.NewRecorder()
	context, _ := gin.CreateTestContext(recorder)

	writer := &ChatWriter{
		stream:        true,
		streamOptions: &openai.StreamOptions{IncludeUsage: true},
		id:            "chatcmpl-test",
		BaseWriter:    BaseWriter{ResponseWriter: context.Writer},
	}

	response := api.ChatResponse{
		Model: "test-model",
		Message: api.Message{
			Thinking: "reasoning",
			ToolCalls: []api.ToolCall{
				{
					ID: "call_234",
					Function: api.ToolCallFunction{
						Index: 0,
						Name:  "get_weather",
						Arguments: testArgs(map[string]any{
							"location": "Portland",
						}),
					},
				},
			},
		},
		Done: false,
	}

	data, err := json.Marshal(response)
	if err != nil {
		t.Fatalf("marshal response: %v", err)
	}

	if _, err = writer.Write(data); err != nil {
		t.Fatalf("write response: %v", err)
	}

	frames := sseDataFrames(recorder.Body.String())
	if len(frames) != 2 {
		t.Fatalf("expected 2 SSE data frames (reasoning + tool-calls), got %d:\n%s", len(frames), recorder.Body.String())
	}
	if frames[len(frames)-1] == "[DONE]" {
		t.Fatalf("did not expect [DONE] frame for non-final chunk: %s", recorder.Body.String())
	}

	var reasoningChunk openai.ChatCompletionChunk
	if err := json.Unmarshal([]byte(frames[0]), &reasoningChunk); err != nil {
		t.Fatalf("unmarshal reasoning chunk: %v", err)
	}

	var toolCallChunk openai.ChatCompletionChunk
	if err := json.Unmarshal([]byte(frames[1]), &toolCallChunk); err != nil {
		t.Fatalf("unmarshal tool-call chunk: %v", err)
	}

	if len(reasoningChunk.Choices) != 1 || reasoningChunk.Choices[0].Delta.Reasoning != "reasoning" {
		t.Fatalf("expected first chunk to be reasoning-only, got %+v", reasoningChunk.Choices)
	}
	if len(toolCallChunk.Choices) != 1 || len(toolCallChunk.Choices[0].Delta.ToolCalls) != 1 {
		t.Fatalf("expected second chunk to contain tool calls, got %+v", toolCallChunk.Choices)
	}
	if toolCallChunk.Choices[0].FinishReason != nil {
		t.Fatalf("expected nil finish reason for non-final tool-call chunk, got %v", toolCallChunk.Choices[0].FinishReason)
	}
	if !writer.toolCallSent {
		t.Fatal("expected toolCallSent to be tracked after tool-call chunk emission")
	}
}

func TestChatWriter_StreamMixedThinkingAndContentWithoutDoneEmitsChunksOnly(t *testing.T) {
	gin.SetMode(gin.TestMode)
	recorder := httptest.NewRecorder()
	context, _ := gin.CreateTestContext(recorder)

	writer := &ChatWriter{
		stream:        true,
		streamOptions: &openai.StreamOptions{IncludeUsage: true},
		id:            "chatcmpl-test",
		BaseWriter:    BaseWriter{ResponseWriter: context.Writer},
	}

	response := api.ChatResponse{
		Model: "test-model",
		Message: api.Message{
			Thinking: "reasoning",
			Content:  "partial content",
		},
		Done: false,
	}

	data, err := json.Marshal(response)
	if err != nil {
		t.Fatalf("marshal response: %v", err)
	}

	if _, err = writer.Write(data); err != nil {
		t.Fatalf("write response: %v", err)
	}

	frames := sseDataFrames(recorder.Body.String())
	if len(frames) != 2 {
		t.Fatalf("expected 2 SSE data frames (reasoning + content), got %d:\n%s", len(frames), recorder.Body.String())
	}
	if frames[len(frames)-1] == "[DONE]" {
		t.Fatalf("did not expect [DONE] frame for non-final chunk: %s", recorder.Body.String())
	}

	var reasoningChunk openai.ChatCompletionChunk
	if err := json.Unmarshal([]byte(frames[0]), &reasoningChunk); err != nil {
		t.Fatalf("unmarshal reasoning chunk: %v", err)
	}

	var contentChunk openai.ChatCompletionChunk
	if err := json.Unmarshal([]byte(frames[1]), &contentChunk); err != nil {
		t.Fatalf("unmarshal content chunk: %v", err)
	}

	if len(reasoningChunk.Choices) != 1 || reasoningChunk.Choices[0].Delta.Reasoning != "reasoning" {
		t.Fatalf("expected first chunk to be reasoning-only, got %+v", reasoningChunk.Choices)
	}
	if len(contentChunk.Choices) != 1 || contentChunk.Choices[0].Delta.Content != "partial content" {
		t.Fatalf("expected second chunk to contain content, got %+v", contentChunk.Choices)
	}
	if contentChunk.Choices[0].FinishReason != nil {
		t.Fatalf("expected nil finish reason for non-final content chunk, got %v", contentChunk.Choices[0].FinishReason)
	}
}

func TestChatMiddleware(t *testing.T) {
	type testCase struct {
		name string
		body string
		req  api.ChatRequest
		err  openai.ErrorResponse
	}

	var capturedRequest *api.ChatRequest

	testCases := []testCase{
		{
			name: "chat handler",
			body: `{
				"model": "test-model",
				"messages": [
					{"role": "user", "content": "Hello"}
				]
			}`,
			req: api.ChatRequest{
				Model: "test-model",
				Messages: []api.Message{
					{
						Role:    "user",
						Content: "Hello",
					},
				},
				Options: map[string]any{
					"temperature": 1.0,
					"top_p":       1.0,
				},
				Stream: &False,
			},
		},
		{
			name: "chat handler with options",
			body: `{
				"model": "test-model",
				"messages": [
					{"role": "user", "content": "Hello"}
				],
				"stream":            true,
				"max_tokens":        999,
				"seed":              123,
				"stop":              ["\n", "stop"],
				"temperature":       3.0,
				"frequency_penalty": 4.0,
				"presence_penalty":  5.0,
				"top_p":             6.0,
				"response_format":   {"type": "json_object"}
			}`,
			req: api.ChatRequest{
				Model: "test-model",
				Messages: []api.Message{
					{
						Role:    "user",
						Content: "Hello",
					},
				},
				Options: map[string]any{
					"num_predict":       999.0, // float because JSON doesn't distinguish between float and int
					"seed":              123.0,
					"stop":              []any{"\n", "stop"},
					"temperature":       3.0,
					"frequency_penalty": 4.0,
					"presence_penalty":  5.0,
					"top_p":             6.0,
				},
				Format: json.RawMessage(`"json"`),
				Stream: &True,
			},
		},
		{
			name: "chat handler with streaming usage",
			body: `{
				"model": "test-model",
				"messages": [
					{"role": "user", "content": "Hello"}
				],
				"stream":            true,
				"stream_options":    {"include_usage": true},
				"max_tokens":        999,
				"seed":              123,
				"stop":              ["\n", "stop"],
				"temperature":       3.0,
				"frequency_penalty": 4.0,
				"presence_penalty":  5.0,
				"top_p":             6.0,
				"response_format":   {"type": "json_object"}
			}`,
			req: api.ChatRequest{
				Model: "test-model",
				Messages: []api.Message{
					{
						Role:    "user",
						Content: "Hello",
					},
				},
				Options: map[string]any{
					"num_predict":       999.0, // float because JSON doesn't distinguish between float and int
					"seed":              123.0,
					"stop":              []any{"\n", "stop"},
					"temperature":       3.0,
					"frequency_penalty": 4.0,
					"presence_penalty":  5.0,
					"top_p":             6.0,
				},
				Format: json.RawMessage(`"json"`),
				Stream: &True,
			},
		},
		{
			name: "chat handler with image content",
			body: `{
				"model": "test-model",
				"messages": [
					{
						"role": "user",
						"content": [
							{
								"type": "text",
								"text": "Hello"
							},
							{
								"type": "image_url",
								"image_url": {
									"url": "` + prefix + image + `"
								}
							}
						]
					}
				]
			}`,
			req: api.ChatRequest{
				Model: "test-model",
				Messages: []api.Message{
					{
						Role:    "user",
						Content: "Hello",
					},
					{
						Role: "user",
						Images: []api.ImageData{
							func() []byte {
								img, _ := base64.StdEncoding.DecodeString(image)
								return img
							}(),
						},
					},
				},
				Options: map[string]any{
					"temperature": 1.0,
					"top_p":       1.0,
				},
				Stream: &False,
			},
		},
		{
			name: "chat handler with tools",
			body: `{
				"model": "test-model",
				"messages": [
					{"role": "user", "content": "What's the weather like in Paris Today?"},
					{"role": "assistant", "tool_calls": [{"id": "id", "type": "function", "function": {"name": "get_current_weather", "arguments": "{\"location\": \"Paris, France\", \"format\": \"celsius\"}"}}]}
				]
			}`,
			req: api.ChatRequest{
				Model: "test-model",
				Messages: []api.Message{
					{
						Role:    "user",
						Content: "What's the weather like in Paris Today?",
					},
					{
						Role: "assistant",
						ToolCalls: []api.ToolCall{
							{
								ID: "id",
								Function: api.ToolCallFunction{
									Name: "get_current_weather",
									Arguments: testArgs(map[string]any{
										"location": "Paris, France",
										"format":   "celsius",
									}),
								},
							},
						},
					},
				},
				Options: map[string]any{
					"temperature": 1.0,
					"top_p":       1.0,
				},
				Stream: &False,
			},
		},
		{
			name: "chat handler with tools and content",
			body: `{
				"model": "test-model",
				"messages": [
					{"role": "user", "content": "What's the weather like in Paris Today?"},
					{"role": "assistant", "content": "Let's see what the weather is like in Paris", "tool_calls": [{"id": "id", "type": "function", "function": {"name": "get_current_weather", "arguments": "{\"location\": \"Paris, France\", \"format\": \"celsius\"}"}}]}
				]
			}`,
			req: api.ChatRequest{
				Model: "test-model",
				Messages: []api.Message{
					{
						Role:    "user",
						Content: "What's the weather like in Paris Today?",
					},
					{
						Role:    "assistant",
						Content: "Let's see what the weather is like in Paris",
						ToolCalls: []api.ToolCall{
							{
								ID: "id",
								Function: api.ToolCallFunction{
									Name: "get_current_weather",
									Arguments: testArgs(map[string]any{
										"location": "Paris, France",
										"format":   "celsius",
									}),
								},
							},
						},
					},
				},
				Options: map[string]any{
					"temperature": 1.0,
					"top_p":       1.0,
				},
				Stream: &False,
			},
		},
		{
			name: "chat handler with tools and empty content",
			body: `{
				"model": "test-model",
				"messages": [
					{"role": "user", "content": "What's the weather like in Paris Today?"},
					{"role": "assistant", "content": "", "tool_calls": [{"id": "id", "type": "function", "function": {"name": "get_current_weather", "arguments": "{\"location\": \"Paris, France\", \"format\": \"celsius\"}"}}]}
				]
			}`,
			req: api.ChatRequest{
				Model: "test-model",
				Messages: []api.Message{
					{
						Role:    "user",
						Content: "What's the weather like in Paris Today?",
					},
					{
						Role: "assistant",
						ToolCalls: []api.ToolCall{
							{
								ID: "id",
								Function: api.ToolCallFunction{
									Name: "get_current_weather",
									Arguments: testArgs(map[string]any{
										"location": "Paris, France",
										"format":   "celsius",
									}),
								},
							},
						},
					},
				},
				Options: map[string]any{
					"temperature": 1.0,
					"top_p":       1.0,
				},
				Stream: &False,
			},
		},
		{
			name: "chat handler with tools and thinking content",
			body: `{
				"model": "test-model",
				"messages": [
					{"role": "user", "content": "What's the weather like in Paris Today?"},
					{"role": "assistant", "reasoning": "Let's see what the weather is like in Paris", "tool_calls": [{"id": "id", "type": "function", "function": {"name": "get_current_weather", "arguments": "{\"location\": \"Paris, France\", \"format\": \"celsius\"}"}}]}
				]
			}`,
			req: api.ChatRequest{
				Model: "test-model",
				Messages: []api.Message{
					{
						Role:    "user",
						Content: "What's the weather like in Paris Today?",
					},
					{
						Role:     "assistant",
						Thinking: "Let's see what the weather is like in Paris",
						ToolCalls: []api.ToolCall{
							{
								ID: "id",
								Function: api.ToolCallFunction{
									Name: "get_current_weather",
									Arguments: testArgs(map[string]any{
										"location": "Paris, France",
										"format":   "celsius",
									}),
								},
							},
						},
					},
				},
				Options: map[string]any{
					"temperature": 1.0,
					"top_p":       1.0,
				},
				Stream: &False,
			},
		},
		{
			name: "tool response with call ID",
			body: `{
				"model": "test-model",
				"messages": [
					{"role": "user", "content": "What's the weather like in Paris Today?"},
					{"role": "assistant", "tool_calls": [{"id": "id_abc", "type": "function", "function": {"name": "get_current_weather", "arguments": "{\"location\": \"Paris, France\", \"format\": \"celsius\"}"}}]},
					{"role": "tool", "tool_call_id": "id_abc", "content": "The weather in Paris is 20 degrees Celsius"}
				]
			}`,
			req: api.ChatRequest{
				Model: "test-model",
				Messages: []api.Message{
					{
						Role:    "user",
						Content: "What's the weather like in Paris Today?",
					},
					{
						Role: "assistant",
						ToolCalls: []api.ToolCall{
							{
								ID: "id_abc",
								Function: api.ToolCallFunction{
									Name: "get_current_weather",
									Arguments: testArgs(map[string]any{
										"location": "Paris, France",
										"format":   "celsius",
									}),
								},
							},
						},
					},
					{
						Role:       "tool",
						Content:    "The weather in Paris is 20 degrees Celsius",
						ToolName:   "get_current_weather",
						ToolCallID: "id_abc",
					},
				},
				Options: map[string]any{
					"temperature": 1.0,
					"top_p":       1.0,
				},
				Stream: &False,
			},
		},
		{
			name: "tool response with name",
			body: `{
				"model": "test-model",
				"messages": [
					{"role": "user", "content": "What's the weather like in Paris Today?"},
					{"role": "assistant", "tool_calls": [{"id": "id", "type": "function", "function": {"name": "get_current_weather", "arguments": "{\"location\": \"Paris, France\", \"format\": \"celsius\"}"}}]},
					{"role": "tool", "name": "get_current_weather", "content": "The weather in Paris is 20 degrees Celsius"}
				]
			}`,
			req: api.ChatRequest{
				Model: "test-model",
				Messages: []api.Message{
					{
						Role:    "user",
						Content: "What's the weather like in Paris Today?",
					},
					{
						Role: "assistant",
						ToolCalls: []api.ToolCall{
							{
								ID: "id",
								Function: api.ToolCallFunction{
									Name: "get_current_weather",
									Arguments: testArgs(map[string]any{
										"location": "Paris, France",
										"format":   "celsius",
									}),
								},
							},
						},
					},
					{
						Role:     "tool",
						Content:  "The weather in Paris is 20 degrees Celsius",
						ToolName: "get_current_weather",
					},
				},
				Options: map[string]any{
					"temperature": 1.0,
					"top_p":       1.0,
				},
				Stream: &False,
			},
		},
		{
			name: "chat handler with streaming tools",
			body: `{
				"model": "test-model",
				"messages": [
					{"role": "user", "content": "What's the weather like in Paris?"}
				],
				"stream": true,
				"tools": [{
					"type": "function",
					"function": {
						"name": "get_weather",
						"description": "Get the current weather",
						"parameters": {
							"type": "object",
							"required": ["location"],
							"properties": {
								"location": {
									"type": "string",
									"description": "The city and state"
								},
								"unit": {
									"type": "string",
									"enum": ["celsius", "fahrenheit"]
								}
							}
						}
					}
				}]
			}`,
			req: api.ChatRequest{
				Model: "test-model",
				Messages: []api.Message{
					{
						Role:    "user",
						Content: "What's the weather like in Paris?",
					},
				},
				Tools: []api.Tool{
					{
						Type: "function",
						Function: api.ToolFunction{
							Name:        "get_weather",
							Description: "Get the current weather",
							Parameters: api.ToolFunctionParameters{
								Type:     "object",
								Required: []string{"location"},
								Properties: testPropsMap(map[string]api.ToolProperty{
									"location": {
										Type:        api.PropertyType{"string"},
										Description: "The city and state",
									},
									"unit": {
										Type: api.PropertyType{"string"},
										Enum: []any{"celsius", "fahrenheit"},
									},
								}),
							},
						},
					},
				},
				Options: map[string]any{
					"temperature": 1.0,
					"top_p":       1.0,
				},
				Stream: &True,
			},
		},
		{
			name: "chat handler error forwarding",
			body: `{
				"model": "test-model",
				"messages": [
					{"role": "user", "content": 2}
				]
			}`,
			err: openai.ErrorResponse{
				Error: openai.Error{
					Message: "invalid message content type: float64",
					Type:    "invalid_request_error",
				},
			},
		},
	}

	endpoint := func(c *gin.Context) {
		c.Status(http.StatusOK)
	}

	gin.SetMode(gin.TestMode)
	router := gin.New()
	router.Use(ChatMiddleware(), captureRequestMiddleware(&capturedRequest))
	router.Handle(http.MethodPost, "/api/chat", endpoint)

	for _, tc := range testCases {
		t.Run(tc.name, func(t *testing.T) {
			req, _ := http.NewRequest(http.MethodPost, "/api/chat", strings.NewReader(tc.body))
			req.Header.Set("Content-Type", "application/json")

			defer func() { capturedRequest = nil }()

			resp := httptest.NewRecorder()
			router.ServeHTTP(resp, req)

			var errResp openai.ErrorResponse
			if resp.Code != http.StatusOK {
				if err := json.Unmarshal(resp.Body.Bytes(), &errResp); err != nil {
					t.Fatal(err)
				}
				return
			}
			if diff := cmp.Diff(&tc.req, capturedRequest, argsComparer, propsComparer); diff != "" {
				t.Fatalf("requests did not match: %+v", diff)
			}
			if diff := cmp.Diff(tc.err, errResp); diff != "" {
				t.Fatalf("errors did not match for %s:\n%s", tc.name, diff)
			}
		})
	}
}

func TestCompletionsMiddleware(t *testing.T) {
	type testCase struct {
		name string
		body string
		req  api.GenerateRequest
		err  openai.ErrorResponse
	}

	var capturedRequest *api.GenerateRequest

	testCases := []testCase{
		{
			name: "completions handler",
			body: `{
				"model": "test-model",
				"prompt": "Hello",
				"temperature": 0.8,
				"stop": ["\n", "stop"],
				"suffix": "suffix"
			}`,
			req: api.GenerateRequest{
				Model:  "test-model",
				Prompt: "Hello",
				Options: map[string]any{
					"frequency_penalty": 0.0,
					"presence_penalty":  0.0,
					"temperature":       0.8,
					"top_p":             1.0,
					"stop":              []any{"\n", "stop"},
				},
				Suffix: "suffix",
				Stream: &False,
			},
		},
		{
			name: "completions handler stream",
			body: `{
				"model": "test-model",
				"prompt": "Hello",
				"stream": true,
				"temperature": 0.8,
				"stop": ["\n", "stop"],
				"suffix": "suffix"
			}`,
			req: api.GenerateRequest{
				Model:  "test-model",
				Prompt: "Hello",
				Options: map[string]any{
					"frequency_penalty": 0.0,
					"presence_penalty":  0.0,
					"temperature":       0.8,
					"top_p":             1.0,
					"stop":              []any{"\n", "stop"},
				},
				Suffix: "suffix",
				Stream: &True,
			},
		},
		{
			name: "completions handler stream with usage",
			body: `{
				"model": "test-model",
				"prompt": "Hello",
				"stream": true,
				"stream_options": {"include_usage": true},
				"temperature": 0.8,
				"stop": ["\n", "stop"],
				"suffix": "suffix"
			}`,
			req: api.GenerateRequest{
				Model:  "test-model",
				Prompt: "Hello",
				Options: map[string]any{
					"frequency_penalty": 0.0,
					"presence_penalty":  0.0,
					"temperature":       0.8,
					"top_p":             1.0,
					"stop":              []any{"\n", "stop"},
				},
				Suffix: "suffix",
				Stream: &True,
			},
		},
		{
			name: "completions handler error forwarding",
			body: `{
				"model": "test-model",
				"prompt": "Hello",
				"temperature": null,
				"stop": [1, 2],
				"suffix": "suffix"
			}`,
			err: openai.ErrorResponse{
				Error: openai.Error{
					Message: "invalid type for 'stop' field: float64",
					Type:    "invalid_request_error",
				},
			},
		},
	}

	endpoint := func(c *gin.Context) {
		c.Status(http.StatusOK)
	}

	gin.SetMode(gin.TestMode)
	router := gin.New()
	router.Use(CompletionsMiddleware(), captureRequestMiddleware(&capturedRequest))
	router.Handle(http.MethodPost, "/api/generate", endpoint)

	for _, tc := range testCases {
		t.Run(tc.name, func(t *testing.T) {
			req, _ := http.NewRequest(http.MethodPost, "/api/generate", strings.NewReader(tc.body))
			req.Header.Set("Content-Type", "application/json")

			resp := httptest.NewRecorder()
			router.ServeHTTP(resp, req)

			var errResp openai.ErrorResponse
			if resp.Code != http.StatusOK {
				if err := json.Unmarshal(resp.Body.Bytes(), &errResp); err != nil {
					t.Fatal(err)
				}
			}

			if capturedRequest != nil && !reflect.DeepEqual(tc.req, *capturedRequest) {
				t.Fatal("requests did not match")
			}

			if !reflect.DeepEqual(tc.err, errResp) {
				t.Fatal("errors did not match")
			}

			capturedRequest = nil
		})
	}
}

func TestEmbeddingsMiddleware(t *testing.T) {
	type testCase struct {
		name string
		body string
		req  api.EmbedRequest
		err  openai.ErrorResponse
	}

	var capturedRequest *api.EmbedRequest

	testCases := []testCase{
		{
			name: "embed handler single input",
			body: `{
				"input": "Hello",
				"model": "test-model"
			}`,
			req: api.EmbedRequest{
				Input: "Hello",
				Model: "test-model",
			},
		},
		{
			name: "embed handler batch input",
			body: `{
				"input": ["Hello", "World"],
				"model": "test-model"
			}`,
			req: api.EmbedRequest{
				Input: []any{"Hello", "World"},
				Model: "test-model",
			},
		},
		{
			name: "embed handler error forwarding",
			body: `{
				"model": "test-model"
			}`,
			err: openai.ErrorResponse{
				Error: openai.Error{
					Message: "invalid input",
					Type:    "invalid_request_error",
				},
			},
		},
	}

	endpoint := func(c *gin.Context) {
		c.Status(http.StatusOK)
	}

	gin.SetMode(gin.TestMode)
	router := gin.New()
	router.Use(EmbeddingsMiddleware(), captureRequestMiddleware(&capturedRequest))
	router.Handle(http.MethodPost, "/api/embed", endpoint)

	for _, tc := range testCases {
		t.Run(tc.name, func(t *testing.T) {
			req, _ := http.NewRequest(http.MethodPost, "/api/embed", strings.NewReader(tc.body))
			req.Header.Set("Content-Type", "application/json")

			resp := httptest.NewRecorder()
			router.ServeHTTP(resp, req)

			var errResp openai.ErrorResponse
			if resp.Code != http.StatusOK {
				if err := json.Unmarshal(resp.Body.Bytes(), &errResp); err != nil {
					t.Fatal(err)
				}
			}

			if capturedRequest != nil && !reflect.DeepEqual(tc.req, *capturedRequest) {
				t.Fatal("requests did not match")
			}

			if !reflect.DeepEqual(tc.err, errResp) {
				t.Fatal("errors did not match")
			}

			capturedRequest = nil
		})
	}
}

func TestListMiddleware(t *testing.T) {
	type testCase struct {
		name     string
		endpoint func(c *gin.Context)
		resp     string
	}

	testCases := []testCase{
		{
			name: "list handler",
			endpoint: func(c *gin.Context) {
				c.JSON(http.StatusOK, api.ListResponse{
					Models: []api.ListModelResponse{
						{
							Name:       "test-model",
							ModifiedAt: time.Unix(int64(1686935002), 0).UTC(),
						},
					},
				})
			},
			resp: `{
				"object": "list",
				"data": [
					{
						"id": "test-model",
						"object": "model",
						"created": 1686935002,
						"owned_by": "library"
					}
				]
			}`,
		},
		{
			name: "list handler empty output",
			endpoint: func(c *gin.Context) {
				c.JSON(http.StatusOK, api.ListResponse{})
			},
			resp: `{
				"object": "list",
				"data": null
			}`,
		},
	}

	gin.SetMode(gin.TestMode)

	for _, tc := range testCases {
		router := gin.New()
		router.Use(ListMiddleware())
		router.Handle(http.MethodGet, "/api/tags", tc.endpoint)
		req, _ := http.NewRequest(http.MethodGet, "/api/tags", nil)

		resp := httptest.NewRecorder()
		router.ServeHTTP(resp, req)

		var expected, actual map[string]any
		err := json.Unmarshal([]byte(tc.resp), &expected)
		if err != nil {
			t.Fatalf("failed to unmarshal expected response: %v", err)
		}

		err = json.Unmarshal(resp.Body.Bytes(), &actual)
		if err != nil {
			t.Fatalf("failed to unmarshal actual response: %v", err)
		}

		if !reflect.DeepEqual(expected, actual) {
			t.Errorf("responses did not match\nExpected: %+v\nActual: %+v", expected, actual)
		}
	}
}

func TestRetrieveMiddleware(t *testing.T) {
	type testCase struct {
		name     string
		endpoint func(c *gin.Context)
		resp     string
	}

	testCases := []testCase{
		{
			name: "retrieve handler",
			endpoint: func(c *gin.Context) {
				c.JSON(http.StatusOK, api.ShowResponse{
					ModifiedAt: time.Unix(int64(1686935002), 0).UTC(),
				})
			},
			resp: `{
				"id":"test-model",
				"object":"model",
				"created":1686935002,
				"owned_by":"library"}
			`,
		},
		{
			name: "retrieve handler error forwarding",
			endpoint: func(c *gin.Context) {
				c.JSON(http.StatusBadRequest, gin.H{"error": "model not found"})
			},
			resp: `{
				"error": {
				  "code": null,
				  "message": "model not found",
				  "param": null,
				  "type": "invalid_request_error"
				}
			}`,
		},
	}

	gin.SetMode(gin.TestMode)

	for _, tc := range testCases {
		router := gin.New()
		router.Use(RetrieveMiddleware())
		router.Handle(http.MethodGet, "/api/show/:model", tc.endpoint)
		req, _ := http.NewRequest(http.MethodGet, "/api/show/test-model", nil)

		resp := httptest.NewRecorder()
		router.ServeHTTP(resp, req)

		var expected, actual map[string]any
		err := json.Unmarshal([]byte(tc.resp), &expected)
		if err != nil {
			t.Fatalf("failed to unmarshal expected response: %v", err)
		}

		err = json.Unmarshal(resp.Body.Bytes(), &actual)
		if err != nil {
			t.Fatalf("failed to unmarshal actual response: %v", err)
		}

		if !reflect.DeepEqual(expected, actual) {
			t.Errorf("responses did not match\nExpected: %+v\nActual: %+v", expected, actual)
		}
	}
}

func TestImageGenerationsMiddleware(t *testing.T) {
	type testCase struct {
		name string
		body string
		req  api.GenerateRequest
		err  openai.ErrorResponse
	}

	var capturedRequest *api.GenerateRequest

	testCases := []testCase{
		{
			name: "image generation basic",
			body: `{
				"model": "test-model",
				"prompt": "a beautiful sunset"
			}`,
			req: api.GenerateRequest{
				Model:  "test-model",
				Prompt: "a beautiful sunset",
			},
		},
		{
			name: "image generation with size",
			body: `{
				"model": "test-model",
				"prompt": "a beautiful sunset",
				"size": "512x768"
			}`,
			req: api.GenerateRequest{
				Model:  "test-model",
				Prompt: "a beautiful sunset",
				Width:  512,
				Height: 768,
			},
		},
		{
			name: "image generation missing prompt",
			body: `{
				"model": "test-model"
			}`,
			err: openai.ErrorResponse{
				Error: openai.Error{
					Message: "prompt is required",
					Type:    "invalid_request_error",
				},
			},
		},
		{
			name: "image generation missing model",
			body: `{
				"prompt": "a beautiful sunset"
			}`,
			err: openai.ErrorResponse{
				Error: openai.Error{
					Message: "model is required",
					Type:    "invalid_request_error",
				},
			},
		},
	}

	endpoint := func(c *gin.Context) {
		c.Status(http.StatusOK)
	}

	gin.SetMode(gin.TestMode)
	router := gin.New()
	router.Use(ImageGenerationsMiddleware(), captureRequestMiddleware(&capturedRequest))
	router.Handle(http.MethodPost, "/api/generate", endpoint)

	for _, tc := range testCases {
		t.Run(tc.name, func(t *testing.T) {
			req, _ := http.NewRequest(http.MethodPost, "/api/generate", strings.NewReader(tc.body))
			req.Header.Set("Content-Type", "application/json")

			defer func() { capturedRequest = nil }()

			resp := httptest.NewRecorder()
			router.ServeHTTP(resp, req)

			if tc.err.Error.Message != "" {
				var errResp openai.ErrorResponse
				if err := json.Unmarshal(resp.Body.Bytes(), &errResp); err != nil {
					t.Fatal(err)
				}
				if diff := cmp.Diff(tc.err, errResp); diff != "" {
					t.Fatalf("errors did not match:\n%s", diff)
				}
				return
			}

			if resp.Code != http.StatusOK {
				t.Fatalf("expected status 200, got %d: %s", resp.Code, resp.Body.String())
			}

			if diff := cmp.Diff(&tc.req, capturedRequest); diff != "" {
				t.Fatalf("requests did not match:\n%s", diff)
			}
		})
	}
}

func TestImageWriterResponse(t *testing.T) {
	gin.SetMode(gin.TestMode)

	// Test that ImageWriter transforms GenerateResponse to OpenAI format
	endpoint := func(c *gin.Context) {
		resp := api.GenerateResponse{
			Model:     "test-model",
			CreatedAt: time.Unix(1234567890, 0).UTC(),
			Done:      true,
			Image:     "dGVzdC1pbWFnZS1kYXRh", // base64 of "test-image-data"
		}
		data, _ := json.Marshal(resp)
		c.Writer.Write(append(data, '\n'))
	}

	router := gin.New()
	router.Use(ImageGenerationsMiddleware())
	router.Handle(http.MethodPost, "/api/generate", endpoint)

	body := `{"model": "test-model", "prompt": "test"}`
	req, _ := http.NewRequest(http.MethodPost, "/api/generate", strings.NewReader(body))
	req.Header.Set("Content-Type", "application/json")

	resp := httptest.NewRecorder()
	router.ServeHTTP(resp, req)

	if resp.Code != http.StatusOK {
		t.Fatalf("expected status 200, got %d: %s", resp.Code, resp.Body.String())
	}

	var imageResp openai.ImageGenerationResponse
	if err := json.Unmarshal(resp.Body.Bytes(), &imageResp); err != nil {
		t.Fatalf("failed to unmarshal response: %v", err)
	}

	if imageResp.Created != 1234567890 {
		t.Errorf("expected created 1234567890, got %d", imageResp.Created)
	}

	if len(imageResp.Data) != 1 {
		t.Fatalf("expected 1 image, got %d", len(imageResp.Data))
	}

	if imageResp.Data[0].B64JSON != "dGVzdC1pbWFnZS1kYXRh" {
		t.Errorf("expected image data 'dGVzdC1pbWFnZS1kYXRh', got %s", imageResp.Data[0].B64JSON)
	}
}

func TestImageEditsMiddleware(t *testing.T) {
	type testCase struct {
		name string
		body string
		req  api.GenerateRequest
		err  openai.ErrorResponse
	}

	var capturedRequest *api.GenerateRequest

	// Base64-encoded test image (1x1 pixel PNG)
	testImage := "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAQAAAC1HAwCAAAAC0lEQVR42mNk+A8AAQUBAScY42YAAAAASUVORK5CYII="
	decodedImage, _ := base64.StdEncoding.DecodeString("iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAQAAAC1HAwCAAAAC0lEQVR42mNk+A8AAQUBAScY42YAAAAASUVORK5CYII=")

	testCases := []testCase{
		{
			name: "image edit basic",
			body: `{
				"model": "test-model",
				"prompt": "make it blue",
				"image": "` + testImage + `"
			}`,
			req: api.GenerateRequest{
				Model:  "test-model",
				Prompt: "make it blue",
				Images: []api.ImageData{decodedImage},
			},
		},
		{
			name: "image edit with size",
			body: `{
				"model": "test-model",
				"prompt": "make it blue",
				"image": "` + testImage + `",
				"size": "512x768"
			}`,
			req: api.GenerateRequest{
				Model:  "test-model",
				Prompt: "make it blue",
				Images: []api.ImageData{decodedImage},
				Width:  512,
				Height: 768,
			},
		},
		{
			name: "image edit missing prompt",
			body: `{
				"model": "test-model",
				"image": "` + testImage + `"
			}`,
			err: openai.ErrorResponse{
				Error: openai.Error{
					Message: "prompt is required",
					Type:    "invalid_request_error",
				},
			},
		},
		{
			name: "image edit missing model",
			body: `{
				"prompt": "make it blue",
				"image": "` + testImage + `"
			}`,
			err: openai.ErrorResponse{
				Error: openai.Error{
					Message: "model is required",
					Type:    "invalid_request_error",
				},
			},
		},
		{
			name: "image edit missing image",
			body: `{
				"model": "test-model",
				"prompt": "make it blue"
			}`,
			err: openai.ErrorResponse{
				Error: openai.Error{
					Message: "image is required",
					Type:    "invalid_request_error",
				},
			},
		},
	}

	endpoint := func(c *gin.Context) {
		c.Status(http.StatusOK)
	}

	gin.SetMode(gin.TestMode)
	router := gin.New()
	router.Use(ImageEditsMiddleware(), captureRequestMiddleware(&capturedRequest))
	router.Handle(http.MethodPost, "/api/generate", endpoint)

	for _, tc := range testCases {
		t.Run(tc.name, func(t *testing.T) {
			req, _ := http.NewRequest(http.MethodPost, "/api/generate", strings.NewReader(tc.body))
			req.Header.Set("Content-Type", "application/json")

			defer func() { capturedRequest = nil }()

			resp := httptest.NewRecorder()
			router.ServeHTTP(resp, req)

			if tc.err.Error.Message != "" {
				var errResp openai.ErrorResponse
				if err := json.Unmarshal(resp.Body.Bytes(), &errResp); err != nil {
					t.Fatal(err)
				}
				if diff := cmp.Diff(tc.err, errResp); diff != "" {
					t.Fatalf("errors did not match:\n%s", diff)
				}
				return
			}

			if resp.Code != http.StatusOK {
				t.Fatalf("expected status 200, got %d: %s", resp.Code, resp.Body.String())
			}

			if diff := cmp.Diff(&tc.req, capturedRequest); diff != "" {
				t.Fatalf("requests did not match:\n%s", diff)
			}
		})
	}
}

func zstdCompress(t *testing.T, data []byte) []byte {
	t.Helper()
	var buf bytes.Buffer
	w, err := zstd.NewWriter(&buf)
	if err != nil {
		t.Fatal(err)
	}
	if _, err := w.Write(data); err != nil {
		t.Fatal(err)
	}
	if err := w.Close(); err != nil {
		t.Fatal(err)
	}
	return buf.Bytes()
}

func TestResponsesMiddlewareZstd(t *testing.T) {
	tests := []struct {
		name        string
		body        string
		useZstd     bool
		oversized   bool
		wantCode    int
		wantModel   string
		wantMessage string
	}{
		{
			name:        "plain JSON",
			body:        `{"model": "test-model", "input": "Hello"}`,
			wantCode:    http.StatusOK,
			wantModel:   "test-model",
			wantMessage: "Hello",
		},
		{
			name:        "zstd compressed",
			body:        `{"model": "test-model", "input": "Hello"}`,
			useZstd:     true,
			wantCode:    http.StatusOK,
			wantModel:   "test-model",
			wantMessage: "Hello",
		},
		{
			name:      "zstd over max decompressed size",
			oversized: true,
			useZstd:   true,
			wantCode:  http.StatusBadRequest,
		},
	}

	for _, tt := range tests {
		t.Run(tt.name, func(t *testing.T) {
			var capturedRequest *api.ChatRequest

			gin.SetMode(gin.TestMode)
			router := gin.New()
			router.Use(ResponsesMiddleware(), captureRequestMiddleware(&capturedRequest))
			router.Handle(http.MethodPost, "/v1/responses", func(c *gin.Context) {
				c.Status(http.StatusOK)
			})

			var bodyReader io.Reader
			if tt.oversized {
				bodyReader = bytes.NewReader(zstdCompress(t, bytes.Repeat([]byte("A"), 9<<20)))
			} else if tt.useZstd {
				bodyReader = bytes.NewReader(zstdCompress(t, []byte(tt.body)))
			} else {
				bodyReader = strings.NewReader(tt.body)
			}

			req, _ := http.NewRequest(http.MethodPost, "/v1/responses", bodyReader)
			req.Header.Set("Content-Type", "application/json")
			if tt.useZstd || tt.oversized {
				req.Header.Set("Content-Encoding", "zstd")
			}

			resp := httptest.NewRecorder()
			router.ServeHTTP(resp, req)

			if resp.Code != tt.wantCode {
				t.Fatalf("expected status %d, got %d: %s", tt.wantCode, resp.Code, resp.Body.String())
			}

			if tt.wantCode != http.StatusOK {
				return
			}

			if capturedRequest == nil {
				t.Fatal("expected captured request, got nil")
			}
			if capturedRequest.Model != tt.wantModel {
				t.Fatalf("expected model %q, got %q", tt.wantModel, capturedRequest.Model)
			}
			if len(capturedRequest.Messages) != 1 || capturedRequest.Messages[0].Content != tt.wantMessage {
				t.Fatalf("expected single user message %q, got %+v", tt.wantMessage, capturedRequest.Messages)
			}
		})
	}
}