//
//  Copyright 2026 The InfiniFlow Authors. All Rights Reserved.
//
//  Licensed under the Apache License, Version 2.0 (the "License");
//  you may not use this file except in compliance with the License.
//  You may obtain a copy of the License at
//
//      http://www.apache.org/licenses/LICENSE-2.0
//
//  Unless required by applicable law or agreed to in writing, software
//  distributed under the License is distributed on an "AS IS" BASIS,
//  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
//  See the License for the specific language governing permissions and
//  limitations under the License.
//

package models

import (
	"bytes"
	"context"
	"fmt"
	"io"
	"net/http"
	"ragflow/internal/common"
	"strings"

	"github.com/goccy/go-json"
)

type QiniuModel struct {
	baseModel BaseModel
}

func NewQiniuModel(baseURL map[string]string, urlSuffix URLSuffix) *QiniuModel {
	return &QiniuModel{
		baseModel: BaseModel{
			BaseURL:    baseURL,
			URLSuffix:  urlSuffix,
			httpClient: NewDriverHTTPClient(),
		},
	}
}

func (q *QiniuModel) NewInstance(baseURL map[string]string) ModelDriver {
	return NewQiniuModel(baseURL, q.baseModel.URLSuffix)
}

func (q *QiniuModel) Name() string {
	return "qiniu"
}

// QiniuChatResponse captures the OpenAI-compatible fields consumed by RAGFlow.
type QiniuChatResponse struct {
	ID      string `json:"id"`
	Object  string `json:"object"`
	Created int64  `json:"created"`
	Model   string `json:"model"`
	Choices []struct {
		FinishReason string `json:"finish_reason"`
		Index        int    `json:"index"`
		Logprobs     any    `json:"logprobs"`
		Message      struct {
			Content          string           `json:"content"`
			ReasoningContent string           `json:"reasoning_content"`
			Role             string           `json:"role"`
			ToolCalls        []map[string]any `json:"tool_calls"`
		} `json:"message"`
	} `json:"choices"`
	SystemFingerprint string `json:"system_fingerprint"`
	Usage             struct {
		CompletionTokens        int `json:"completion_tokens"`
		PromptTokens            int `json:"prompt_tokens"`
		TotalTokens             int `json:"total_tokens"`
		CompletionTokensDetails struct {
			ReasoningTokens int `json:"reasoning_tokens"`
		} `json:"completion_tokens_details"`
		PromptTokensDetails struct {
			CachedTokens int `json:"cached_tokens"`
		} `json:"prompt_tokens_details"`
	} `json:"usage"`
}

var qiniuQwenThinkingModels = map[string]struct{}{
	"qwen3-next-80b-a3b-thinking":   {},
	"qwen3-235b-a22b-thinking-2507": {},
	"qwen3-max-2026-01-23":          {},
	"qwen-turbo":                    {},
	"qwen3-32b":                     {},
	"qwen3-30b-a3b":                 {},
	"qwen3-30b-a3b-thinking-2507":   {},
	"qwen3.5-397b-a17b":             {},
	"qwen/qwen3.6-plus":             {},
	"qwen/qwen3.7-max":              {},
	"qwen/qwen3.6-27b":              {},
	"qwen3.5-35b-a3b":               {},
	"qwen3-vl-30b-a3b-thinking":     {},
}

var qiniuThinkingModels = map[string]struct{}{
	"deepseek/deepseek-v4-flash":               {},
	"deepseek/deepseek-v4-pro":                 {},
	"moonshotai/kimi-k2.6":                     {},
	"z-ai/glm-5.1":                             {},
	"z-ai/glm-5":                               {},
	"minimax/minimax-m2.7":                     {},
	"minimax/minimax-m2.5":                     {},
	"minimax/minimax-m2.5-highspeed":           {},
	"kimi-k2-thinking":                         {},
	"z-ai/glm-4.6":                             {},
	"deepseek/deepseek-v3.2-251201":            {},
	"deepseek/deepseek-v3.2-exp-thinking":      {},
	"deepseek/deepseek-v3.1-terminus-thinking": {},
	"deepseek-r1-0528":                         {},
	"deepseek-r1":                              {},
	"doubao-seed-1.6-flash":                    {},
	"doubao-seed-1.6":                          {},
	"doubao-seed-2.0-pro":                      {},
	"doubao-seed-2.0-lite":                     {},
	"doubao-seed-2.0-mini":                     {},
	"doubao-seed-2.0-code":                     {},
	"minimax-m1":                               {},
	"glm-4.5":                                  {},
	"glm-4.5-air":                              {},
	"tencent/hy3-preview":                      {},
}

func applyQiniuThinkingConfig(reqBody map[string]interface{}, modelName string, chatModelConfig *ChatConfig) {
	if chatModelConfig == nil || chatModelConfig.Thinking == nil {
		return
	}

	lowerModelName := strings.ToLower(modelName)
	if _, ok := qiniuQwenThinkingModels[lowerModelName]; ok {
		enableThinking := *chatModelConfig.Thinking
		if chatModelConfig.Effort != nil && strings.ToLower(*chatModelConfig.Effort) == "none" {
			enableThinking = false
		}
		reqBody["enable_thinking"] = enableThinking
		return
	}

	if _, ok := qiniuThinkingModels[lowerModelName]; !ok {
		return
	}

	thinkingType := "disabled"
	if *chatModelConfig.Thinking {
		thinkingType = "enabled"
		effort := "high"
		if chatModelConfig.Effort != nil && *chatModelConfig.Effort != "" {
			effort = strings.ToLower(*chatModelConfig.Effort)
		}

		switch effort {
		case "none":
			thinkingType = "disabled"
		case "default":
			reqBody["reasoning_effort"] = "high"
		case "low", "medium", "high":
			reqBody["reasoning_effort"] = effort
		case "max":
			reqBody["reasoning_effort"] = "high"
		default:
			reqBody["reasoning_effort"] = effort
		}
	}

	reqBody["thinking"] = map[string]interface{}{
		"type": thinkingType,
	}
}

func (q *QiniuModel) ChatWithMessages(ctx context.Context, modelName string, messages []Message, apiConfig *APIConfig, chatModelConfig *ChatConfig, modelUsage *common.ModelUsage) (*ChatResponse, error) {
	if err := q.baseModel.APIConfigCheck(apiConfig); err != nil {
		return nil, err
	}
	if len(messages) == 0 {
		return nil, fmt.Errorf("no messages")
	}

	resolvedBaseURL, err := q.baseModel.GetBaseURL(apiConfig)
	if err != nil {
		return nil, err
	}
	url := fmt.Sprintf("%s/%s", resolvedBaseURL, q.baseModel.URLSuffix.Chat)

	reqBody := buildRequestBody(chatModelConfig, modelName, messages, false)

	if chatModelConfig != nil {
		applyQiniuThinkingConfig(reqBody, modelName, chatModelConfig)
	}

	jsonData, err := json.Marshal(reqBody)
	if err != nil {
		return nil, fmt.Errorf("failed to marshal request: %w", err)
	}

	ctx, cancel := context.WithTimeout(ctx, nonStreamCallTimeout)
	defer cancel()

	req, err := http.NewRequestWithContext(ctx, "POST", url, bytes.NewBuffer(jsonData))
	if err != nil {
		return nil, fmt.Errorf("failed to create request: %w", err)
	}

	req.Header.Set("Content-Type", "application/json")
	req.Header.Set("Authorization", fmt.Sprintf("Bearer %s", *apiConfig.ApiKey))

	resp, err := q.baseModel.httpClient.Do(req)
	if err != nil {
		return nil, fmt.Errorf("failed to send request: %w", err)
	}
	defer resp.Body.Close()

	body, err := io.ReadAll(resp.Body)
	if err != nil {
		return nil, fmt.Errorf("failed to read response body: %w", err)
	}

	if resp.StatusCode != http.StatusOK {
		return nil, fmt.Errorf("API request failed with status %d: %s", resp.StatusCode, string(body))
	}

	return parseChatCompletionResponse(body, chatModelConfig, modelUsage, func(body []byte, chatConfig *ChatConfig) (chatResponseParts, error) {
		var result QiniuChatResponse
		if err := json.Unmarshal(body, &result); err != nil {
			return chatResponseParts{}, fmt.Errorf("failed to parse response: %w", err)
		}
		if len(result.Choices) == 0 {
			return chatResponseParts{}, fmt.Errorf("no choices in response")
		}

		choice := &result.Choices[0]
		content := choice.Message.Content
		if content == "" && len(choice.Message.ToolCalls) == 0 {
			return chatResponseParts{}, fmt.Errorf("invalid content format")
		}
		reasonContent := ""
		if chatConfig != nil && chatConfig.Thinking != nil && *chatConfig.Thinking {
			reasonContent = choice.Message.ReasoningContent
			if reasonContent == "" {
				reasoning, answer := GetThinkingAndAnswer(chatConfig.ModelClass, &content)
				if reasoning != nil {
					reasonContent = *reasoning
					content = *answer
				}
			}
			if reasonContent != "" && reasonContent[0] == '\n' {
				reasonContent = reasonContent[1:]
			}
		}

		return chatResponseParts{
			RequestID:     result.ID,
			Content:       &content,
			ReasonContent: &reasonContent,
			ToolCalls:     choice.Message.ToolCalls,
			Usage: &TokenUsage{
				PromptTokens:     result.Usage.PromptTokens,
				CompletionTokens: result.Usage.CompletionTokens,
				TotalTokens:      result.Usage.TotalTokens,
			},
		}, nil
	})
}

func (q *QiniuModel) ChatStreamlyWithSender(ctx context.Context, modelName string, messages []Message, apiConfig *APIConfig, chatModelConfig *ChatConfig, modelUsage *common.ModelUsage, sender func(*string, *string) error) error {
	if err := q.baseModel.APIConfigCheck(apiConfig); err != nil {
		return err
	}
	if len(messages) == 0 {
		return fmt.Errorf("messages is empty")
	}

	resolvedBaseURL, err := q.baseModel.GetBaseURL(apiConfig)
	if err != nil {
		return err
	}
	baseURL := strings.TrimSuffix(resolvedBaseURL, "/")
	url := fmt.Sprintf("%s/%s", baseURL, q.baseModel.URLSuffix.Chat)

	reqBody := buildRequestBody(chatModelConfig, modelName, messages, true)
	reqBody["stream_options"] = map[string]interface{}{"include_usage": true}

	if chatModelConfig != nil {
		applyQiniuThinkingConfig(reqBody, modelName, chatModelConfig)
		chatModelConfig.ToolCallsResult = nil
	}
	jsonData, err := json.Marshal(reqBody)
	if err != nil {
		return fmt.Errorf("failed to marshal request: %w", err)
	}

	ctx, cancel := context.WithTimeout(ctx, streamCallTimeout)
	defer cancel()

	req, err := http.NewRequestWithContext(ctx, "POST", url, bytes.NewBuffer(jsonData))
	if err != nil {
		return fmt.Errorf("failed to create request: %w", err)
	}

	req.Header.Set("Content-Type", "application/json")
	req.Header.Set("Authorization", fmt.Sprintf("Bearer %s", *apiConfig.ApiKey))

	resp, err := q.baseModel.httpClient.Do(req)
	if err != nil {
		return fmt.Errorf("failed to send request: %w", err)
	}
	defer resp.Body.Close()

	if resp.StatusCode != http.StatusOK {
		body, _ := io.ReadAll(resp.Body)
		return fmt.Errorf("API request failed with status %d: %s", resp.StatusCode, string(body))
	}

	sawTerminal := false
	accumulatedToolCalls := make(map[int]map[string]interface{})
	done, err := ParseSSEStream[map[string]interface{}](resp.Body, func(event map[string]interface{}) error {
		common.Info(fmt.Sprintf("%v", event))

		tokenUsage, found, usageErr := decodeOpenAICompatibleStreamUsage(event)
		if usageErr != nil {
			return usageErr
		}
		if found {
			applyStreamUsage(chatModelConfig, modelUsage, tokenUsage)
		}

		choices, ok := event["choices"].([]interface{})
		if !ok || len(choices) == 0 {
			return nil
		}
		firstChoice, ok := choices[0].(map[string]interface{})
		if !ok {
			return nil
		}
		if finishReason, ok := firstChoice["finish_reason"].(string); ok && finishReason != "" {
			sawTerminal = true
		}
		delta, ok := firstChoice["delta"].(map[string]interface{})
		if !ok {
			return nil
		}
		if accumulateToolCallDeltas(delta, accumulatedToolCalls) {
			return nil
		}

		reasoningContent, ok := delta["reasoning_content"].(string)
		if ok && reasoningContent != "" {
			if err = sender(nil, &reasoningContent); err != nil {
				return err
			}
		}
		content, ok := delta["content"].(string)
		if ok && content != "" {
			if err = sender(&content, nil); err != nil {
				return err
			}
		}

		return nil
	})
	if err != nil {
		return fmt.Errorf("failed to scan response body: %w", err)
	}
	if !done && !sawTerminal {
		return fmt.Errorf("qiniu: stream ended before [DONE] or finish_reason")
	}
	setSortedToolCallsResult(chatModelConfig, accumulatedToolCalls)
	// Send [DONE] marker for OpenAI compatibility
	endOfStream := "[DONE]"
	if err = sender(&endOfStream, nil); err != nil {
		return err
	}

	return nil
}

func (q *QiniuModel) Embed(ctx context.Context, modelName *string, texts []string, apiConfig *APIConfig, embeddingConfig *EmbeddingConfig, modelUsage *common.ModelUsage) ([]EmbeddingData, error) {
	return nil, fmt.Errorf("%s, no such method", q.Name())
}

func (q *QiniuModel) Rerank(ctx context.Context, modelName *string, query string, documents []string, apiConfig *APIConfig, rerankConfig *RerankConfig, modelUsage *common.ModelUsage) (*RerankResponse, error) {
	return nil, fmt.Errorf("%s, no such method", q.Name())
}

func (q *QiniuModel) TranscribeAudio(ctx context.Context, modelName *string, file *string, apiConfig *APIConfig, asrConfig *ASRConfig, modelUsage *common.ModelUsage) (*ASRResponse, error) {
	return nil, fmt.Errorf("%s, no such method", q.Name())
}

func (q *QiniuModel) TranscribeAudioWithSender(ctx context.Context, modelName *string, file *string, apiConfig *APIConfig, asrConfig *ASRConfig, modelUsage *common.ModelUsage, sender func(*string, *string) error) error {
	return fmt.Errorf("%s, no such method", q.Name())
}

func (q *QiniuModel) AudioSpeech(ctx context.Context, modelName *string, audioContent *string, apiConfig *APIConfig, ttsConfig *TTSConfig, modelUsage *common.ModelUsage) (*TTSResponse, error) {
	return nil, fmt.Errorf("%s, no such method", q.Name())
}

func (q *QiniuModel) AudioSpeechWithSender(ctx context.Context, modelName *string, audioContent *string, apiConfig *APIConfig, ttsConfig *TTSConfig, modelUsage *common.ModelUsage, sender func(*string, *string) error) error {
	return fmt.Errorf("%s, no such method", q.Name())
}

func (q *QiniuModel) OCRFile(ctx context.Context, modelName *string, content []byte, url *string, apiConfig *APIConfig, ocrConfig *OCRConfig, modelUsage *common.ModelUsage) (*OCRFileResponse, error) {
	return nil, fmt.Errorf("%s, no such method", q.Name())
}

func (q *QiniuModel) ParseFile(ctx context.Context, modelName *string, content []byte, url *string, apiConfig *APIConfig, parseFileConfig *ParseFileConfig, modelUsage *common.ModelUsage) (*ParseFileResponse, error) {
	return nil, fmt.Errorf("%s, no such method", q.Name())
}

func (q *QiniuModel) ListModels(ctx context.Context, apiConfig *APIConfig) ([]ListModelResponse, error) {
	if err := q.baseModel.APIConfigCheck(apiConfig); err != nil {
		return nil, err
	}

	resolvedBaseURL, err := q.baseModel.GetBaseURL(apiConfig)
	if err != nil {
		return nil, err
	}
	baseURL := strings.TrimSuffix(resolvedBaseURL, "/")
	url := fmt.Sprintf("%s/%s", baseURL, q.baseModel.URLSuffix.Models)

	ctx, cancel := context.WithTimeout(ctx, nonStreamCallTimeout)
	defer cancel()

	req, err := http.NewRequestWithContext(ctx, "GET", url, nil)
	if err != nil {
		return nil, fmt.Errorf("failed to create request: %w", err)
	}
	req.Header.Set("Authorization", fmt.Sprintf("Bearer %s", *apiConfig.ApiKey))

	resp, err := q.baseModel.httpClient.Do(req)
	if err != nil {
		return nil, fmt.Errorf("failed to send request: %w", err)
	}
	defer resp.Body.Close()

	body, err := io.ReadAll(resp.Body)
	if err != nil {
		return nil, fmt.Errorf("failed to read response: %w", err)
	}
	if resp.StatusCode != http.StatusOK {
		return nil, fmt.Errorf("API request failed with status %d: %s", resp.StatusCode, string(body))
	}

	// Parse response
	var modelList ModelList
	if err = json.Unmarshal(body, &modelList); err != nil {
		return nil, fmt.Errorf("failed to parse response: %w", err)
	}
	if modelList.Models == nil {
		return nil, fmt.Errorf("invalid models list format")
	}

	return ParseListModel(modelList), nil
}

func (q *QiniuModel) Balance(ctx context.Context, apiConfig *APIConfig) (map[string]interface{}, error) {
	return nil, fmt.Errorf("%s, no such method", q.Name())
}

func (q *QiniuModel) CheckConnection(ctx context.Context, apiConfig *APIConfig) error {
	_, err := q.ListModels(ctx, apiConfig)
	if err != nil {
		return err
	}
	return nil
}

func (q *QiniuModel) ListTasks(ctx context.Context, apiConfig *APIConfig) ([]ListTaskStatus, error) {
	return nil, fmt.Errorf("%s, no such method", q.Name())
}

func (q *QiniuModel) ShowTask(ctx context.Context, taskID string, apiConfig *APIConfig) (*TaskResponse, error) {
	return nil, fmt.Errorf("%s, no such method", q.Name())
}