package openai

import (
	"context"
	"embed"

	"pentagi/pkg/config"
	"pentagi/pkg/providers/pconfig"
	"pentagi/pkg/providers/provider"
	"pentagi/pkg/system"
	"pentagi/pkg/templates"

	"github.com/vxcontrol/langchaingo/llms"
	"github.com/vxcontrol/langchaingo/llms/openai"
	"github.com/vxcontrol/langchaingo/llms/streaming"
)

//go:embed config.yml models.yml
var configFS embed.FS

const OpenAIAgentModel = "gpt-5.4-nano"

const OpenAIToolCallIDTemplate = "call_{r:24:b}"

func BuildProviderConfig(configData []byte) (*pconfig.ProviderConfig, error) {
	defaultOptions := []llms.CallOption{
		llms.WithModel(OpenAIAgentModel),
		llms.WithN(1),
		llms.WithMaxTokens(4000),
	}

	providerConfig, err := pconfig.LoadConfigData(configData, defaultOptions)
	if err != nil {
		return nil, err
	}

	return providerConfig, nil
}

func DefaultProviderConfig() (*pconfig.ProviderConfig, error) {
	configData, err := configFS.ReadFile("config.yml")
	if err != nil {
		return nil, err
	}

	return BuildProviderConfig(configData)
}

func DefaultModels() (pconfig.ModelsConfig, error) {
	configData, err := configFS.ReadFile("models.yml")
	if err != nil {
		return nil, err
	}

	return pconfig.LoadModelsConfigData(configData)
}

type openaiProvider struct {
	llm            *openai.LLM
	models         pconfig.ModelsConfig
	providerName   provider.ProviderName
	providerConfig *pconfig.ProviderConfig
}

func New(
	cfg *config.Config,
	providerName provider.ProviderName,
	providerConfig *pconfig.ProviderConfig,
) (provider.Provider, error) {
	baseURL := cfg.OpenAIServerURL
	httpClient, err := system.GetHTTPClient(cfg)
	if err != nil {
		return nil, err
	}

	models, err := DefaultModels()
	if err != nil {
		return nil, err
	}

	client, err := openai.New(
		openai.WithToken(cfg.OpenAIKey),
		openai.WithModel(OpenAIAgentModel),
		openai.WithBaseURL(baseURL),
		openai.WithHTTPClient(httpClient),
	)
	if err != nil {
		return nil, err
	}

	return &openaiProvider{
		llm:            client,
		models:         models,
		providerName:   providerName,
		providerConfig: providerConfig,
	}, nil
}

func (p *openaiProvider) Type() provider.ProviderType {
	return provider.ProviderOpenAI
}

func (p *openaiProvider) Name() provider.ProviderName {
	return p.providerName
}

func (p *openaiProvider) GetRawConfig() []byte {
	return p.providerConfig.GetRawConfig()
}

func (p *openaiProvider) GetProviderConfig() *pconfig.ProviderConfig {
	return p.providerConfig
}

func (p *openaiProvider) GetPriceInfo(opt pconfig.ProviderOptionsType) *pconfig.PriceInfo {
	return p.providerConfig.GetPriceInfoForType(opt)
}

func (p *openaiProvider) GetModels() pconfig.ModelsConfig {
	return p.models
}

func (p *openaiProvider) Model(opt pconfig.ProviderOptionsType) string {
	model := OpenAIAgentModel
	opts := llms.CallOptions{Model: &model}
	for _, option := range p.providerConfig.GetOptionsForType(opt) {
		option(&opts)
	}

	return opts.GetModel()
}

func (p *openaiProvider) ModelWithPrefix(opt pconfig.ProviderOptionsType) string {
	// OpenAI provider doesn't need prefix support (passthrough mode in LiteLLM)
	return p.Model(opt)
}

func (p *openaiProvider) Call(
	ctx context.Context,
	opt pconfig.ProviderOptionsType,
	prompt string,
) (string, error) {
	return provider.WrapGenerateFromSinglePrompt(
		ctx, p, opt, p.llm, prompt,
		p.providerConfig.GetOptionsForType(opt)...,
	)
}

func (p *openaiProvider) CallEx(
	ctx context.Context,
	opt pconfig.ProviderOptionsType,
	chain []llms.MessageContent,
	streamCb streaming.Callback,
) (*llms.ContentResponse, error) {
	return provider.WrapGenerateContent(
		ctx, p, opt, p.llm.GenerateContent, chain,
		append([]llms.CallOption{
			llms.WithStreamingFunc(streamCb),
		}, p.providerConfig.GetOptionsForType(opt)...)...,
	)
}

func (p *openaiProvider) CallWithTools(
	ctx context.Context,
	opt pconfig.ProviderOptionsType,
	chain []llms.MessageContent,
	tools []llms.Tool,
	streamCb streaming.Callback,
) (*llms.ContentResponse, error) {
	return provider.WrapGenerateContent(
		ctx, p, opt, p.llm.GenerateContent, chain,
		append([]llms.CallOption{
			llms.WithTools(tools),
			llms.WithStreamingFunc(streamCb),
		}, p.providerConfig.GetOptionsForType(opt)...)...,
	)
}

func (p *openaiProvider) CallWithExtraOptions(
	ctx context.Context,
	opt pconfig.ProviderOptionsType,
	chain []llms.MessageContent,
	tools []llms.Tool,
	streamCb streaming.Callback,
	extra ...llms.CallOption,
) (*llms.ContentResponse, error) {
	options := []llms.CallOption{llms.WithStreamingFunc(streamCb)}
	if len(tools) > 0 {
		options = append(options, llms.WithTools(tools))
	}
	options = append(options, p.providerConfig.GetOptionsForType(opt)...)
	options = append(options, extra...)

	return provider.WrapGenerateContent(ctx, p, opt, p.llm.GenerateContent, chain, options...)
}

func (p *openaiProvider) GetUsage(info map[string]any) pconfig.CallUsage {
	return pconfig.NewCallUsage(info)
}

func (p *openaiProvider) GetToolCallIDTemplate(ctx context.Context, prompter templates.Prompter) (string, error) {
	return provider.DetermineToolCallIDTemplate(ctx, p, pconfig.OptionsTypeSimple, prompter, OpenAIToolCallIDTemplate)
}