package mcp

// Agent is the generic OpenAI↔MCP bridge: an OpenAI-compatible chat
// completions endpoint whose tools are discovered from — and executed against —
// any MCP endpoint. It knows nothing about content, carts, or orders:
//
//  1. On every request it calls tools/list on the MCP endpoint and advertises
//     those tools to the model (merged with any client-supplied tools).
//  2. It runs the agentic loop, streaming text deltas to the client as SSE
//     while intercepting tool calls and dispatching them via tools/call,
//     appending the configured Bearer token.
//  3. Tool calls the MCP server does not know are passed through to the client
//     (frontend tool calls) so the browser can execute them itself.
//
// The wire contract for streaming clients: named SSE events "delta" (a JSON
// string chunk), <ProgressEvent> (tool activity), "response" (final payload),
// then "[DONE]". Non-streaming clients get a normal chat.completion JSON body.

import (
	"bufio"
	"bytes"
	"context"
	"encoding/json"
	"fmt"
	"io"
	"log/slog"
	"net/http"
	"strings"
	"time"
)

// AgentConfig configures an Agent.
type AgentConfig struct {
	// UpstreamURL is the base URL of an OpenAI-compatible API, e.g.
	// "https://api.openai.com" (no trailing slash; /v1/chat/completions is appended).
	UpstreamURL string
	// UpstreamAPIKey is the Bearer token sent to the upstream AI endpoint.
	UpstreamAPIKey string
	// Model is the default model used when the request omits one.
	Model string
	// MCPURL is the streamable-HTTP MCP endpoint providing the tools.
	MCPURL string
	// MCPToken is appended as "Authorization: Bearer <MCPToken>" on every MCP
	// request. Empty means no Authorization header (e.g. a loopback listener).
	MCPToken string
	// SystemPrompt is prepended as a system message unless the conversation
	// already starts with one. Empty disables injection.
	SystemPrompt string
	// ProgressEvent is the SSE event name for tool-activity events
	// (default "tool_progress").
	ProgressEvent string
	// MaxToolIterations caps the agentic loop (default 10).
	MaxToolIterations int
	// LocalTools are executed in-process by the agent instead of being
	// dispatched over the MCP endpoint. They are advertised to the model
	// alongside the MCP tools but never reach MCP clients — for capabilities
	// that are agent-only (e.g. a CDP browser tool returning base64
	// screenshots too bulky and too privileged for the shared tool surface).
	LocalTools []Tool
	// Logger receives structured operational logs. Nil uses slog.Default().
	Logger *slog.Logger
}

// Agent is the HTTP handler for the chat completions endpoint. Build it with
// NewAgent and mount Handler().
type Agent struct {
	cfg    AgentConfig
	client *http.Client
	log    *slog.Logger
}

// NewAgent builds an Agent.
func NewAgent(cfg AgentConfig) *Agent {
	if cfg.ProgressEvent == "" {
		cfg.ProgressEvent = "tool_progress"
	}
	if cfg.MaxToolIterations <= 0 {
		cfg.MaxToolIterations = 10
	}
	if cfg.Logger == nil {
		cfg.Logger = slog.Default()
	}
	return &Agent{
		cfg:    cfg,
		client: &http.Client{Timeout: 5 * time.Minute},
		log:    cfg.Logger,
	}
}

// Enabled reports whether the agent has enough configuration to serve.
func (a *Agent) Enabled() bool { return a.cfg.UpstreamURL != "" && a.cfg.UpstreamAPIKey != "" && a.cfg.MCPURL != "" }

// Handler returns the http.Handler to mount at the chat completions route.
func (a *Agent) Handler() http.Handler { return http.HandlerFunc(a.serveHTTP) }

// ── OpenAI wire types ──────────────────────────────────────────────────────────

// Message is one turn in the conversation.
type Message struct {
	Role       string     `json:"role"`
	Content    any        `json:"content,omitempty"` // string, null, or content-part array
	ToolCalls  []ToolCall `json:"tool_calls,omitempty"`
	ToolCallID string     `json:"tool_call_id,omitempty"`
}

// ToolCall is a single function invocation requested by the model.
type ToolCall struct {
	ID       string       `json:"id"`
	Type     string       `json:"type"` // "function"
	Function FunctionCall `json:"function"`
}

// FunctionCall holds the function name and its JSON-serialised arguments.
type FunctionCall struct {
	Name      string `json:"name"`
	Arguments string `json:"arguments"`
}

// ChatRequest is the OpenAI-compatible request body.
type ChatRequest struct {
	Model             string    `json:"model"`
	Messages          []Message `json:"messages"`
	Tools             []ToolDef `json:"tools,omitempty"`
	ToolChoice        any       `json:"tool_choice,omitempty"`
	Stream            bool      `json:"stream"`
	Temperature       *float64  `json:"temperature,omitempty"`
	MaxTokens         *int      `json:"max_tokens,omitempty"`
	TopP              *float64  `json:"top_p,omitempty"`
	ParallelToolCalls *bool     `json:"parallel_tool_calls,omitempty"`
}

// ToolDef is an OpenAI function-tool definition.
type ToolDef struct {
	Type     string  `json:"type"` // "function"
	Function FuncDef `json:"function"`
}

// FuncDef is the function schema advertised to the model.
type FuncDef struct {
	Name        string          `json:"name"`
	Description string          `json:"description"`
	Parameters  json.RawMessage `json:"parameters"`
}

// ChatResponse is the non-streaming response body.
type ChatResponse struct {
	ID      string   `json:"id"`
	Object  string   `json:"object"`
	Created int64    `json:"created"`
	Model   string   `json:"model"`
	Choices []Choice `json:"choices"`
}

// Choice is one completion candidate.
type Choice struct {
	Index        int     `json:"index"`
	Message      Message `json:"message"`
	FinishReason string  `json:"finish_reason"`
}

// FrontendToolCall is the shape passed through to browser-side executors:
// {id, name, arguments} instead of {id, type, function:{name, arguments}}.
type FrontendToolCall struct {
	ID        string `json:"id"`
	Name      string `json:"name"`
	Arguments any    `json:"arguments"`
}

// toolProgress is emitted as a named SSE event for every tool invocation so
// streaming clients can show a live activity log.
type toolProgress struct {
	Iter   int    `json:"iter"`
	Tool   string `json:"tool"`
	Args   string `json:"args,omitempty"`
	Status string `json:"status"` // "calling" | "done" | "error"
	Err    string `json:"error,omitempty"`
	Bytes  int    `json:"bytes,omitempty"`
	Result any    `json:"result,omitempty"`
}

// ── HTTP handler ───────────────────────────────────────────────────────────────

func (a *Agent) serveHTTP(w http.ResponseWriter, r *http.Request) {
	if r.Method != http.MethodPost {
		w.Header().Set("Allow", "POST")
		http.Error(w, "method not allowed", http.StatusMethodNotAllowed)
		return
	}
	body, err := io.ReadAll(io.LimitReader(r.Body, 4<<20))
	if err != nil {
		http.Error(w, "read error", http.StatusBadRequest)
		return
	}
	var req ChatRequest
	if err := json.Unmarshal(body, &req); err != nil {
		http.Error(w, "invalid request: "+err.Error(), http.StatusBadRequest)
		return
	}
	if req.Model == "" {
		req.Model = a.cfg.Model
	}

	mcpTools, err := a.listTools(r.Context())
	if err != nil {
		a.log.Error("agent: tools/list failed", "err", err)
		http.Error(w, "mcp tools/list: "+err.Error(), http.StatusBadGateway)
		return
	}
	req = mergeTools(req, mcpTools, localToolDefs(a.cfg.LocalTools))
	if a.cfg.SystemPrompt != "" && (len(req.Messages) == 0 || req.Messages[0].Role != "system") {
		req.Messages = append([]Message{{Role: "system", Content: a.cfg.SystemPrompt}}, req.Messages...)
	}

	a.log.Info("agent: request",
		"model", req.Model,
		"stream", req.Stream,
		"messages", len(req.Messages),
		"tools", len(req.Tools),
	)

	var flush func()
	if req.Stream {
		w.Header().Set("Content-Type", "text/event-stream")
		w.Header().Set("Cache-Control", "no-cache")
		w.Header().Set("Connection", "keep-alive")
		w.Header().Set("X-Accel-Buffering", "no")
		w.WriteHeader(http.StatusOK)
		if f, ok := w.(http.Flusher); ok {
			flush = f.Flush
		} else {
			flush = func() {}
		}
	}

	sendErr := func(status int, msg string) {
		if flush != nil {
			emitSSEEvent(w, "error", map[string]string{"error": msg})
			emitSSE(w, "[DONE]")
			flush()
			return
		}
		http.Error(w, msg, status)
	}

	content, finishReason, frontendCalls, ok := a.loop(r.Context(), w, flush, sendErr, &req)
	if !ok {
		return // sendErr already wrote the response
	}

	if !req.Stream {
		msg := Message{Role: "assistant", Content: content}
		if len(frontendCalls) > 0 {
			for _, fc := range frontendCalls {
				args, _ := json.Marshal(fc.Arguments)
				msg.ToolCalls = append(msg.ToolCalls, ToolCall{
					ID:   fc.ID,
					Type: "function",
					Function: FunctionCall{Name: fc.Name, Arguments: string(args)},
				})
			}
		}
		writeJSON(w, http.StatusOK, ChatResponse{
			ID:      "chatcmpl-agent",
			Object:  "chat.completion",
			Created: time.Now().Unix(),
			Model:   req.Model,
			Choices: []Choice{{Index: 0, Message: msg, FinishReason: finishReason}},
		})
		return
	}

	emitSSEEvent(w, "response", map[string]any{
		"content":       content,
		"tool_calls":    frontendCalls,
		"finish_reason": finishReason,
	})
	emitSSE(w, "[DONE]")
	flush()
}

// loop runs the agentic loop until the model produces a final answer or issues
// a frontend tool call. On upstream failure it calls sendErr and returns ok=false.
func (a *Agent) loop(
	ctx context.Context,
	w io.Writer,
	flush func(),
	sendErr func(status int, msg string),
	req *ChatRequest,
) (content, finishReason string, frontendCalls []FrontendToolCall, ok bool) {
	parallel := true
	req.ParallelToolCalls = &parallel
	messages := req.Messages

	onDelta := func(delta string) {
		if flush != nil && delta != "" {
			b, _ := json.Marshal(delta)
			fmt.Fprintf(w, "event: delta\ndata: %s\n\n", b)
			flush()
		}
	}

	for iter := 0; iter < a.cfg.MaxToolIterations; iter++ {
		reqCopy := *req
		reqCopy.Messages = messages
		reqCopy.Stream = true // always stream from upstream so deltas forward live

		resp, err := a.callUpstream(ctx, reqCopy)
		if err != nil {
			a.log.Error("agent: upstream call failed", "iter", iter, "err", err)
			sendErr(http.StatusBadGateway, "upstream error: "+err.Error())
			return "", "", nil, false
		}
		if resp.StatusCode != http.StatusOK {
			respBody, _ := io.ReadAll(io.LimitReader(resp.Body, 8<<20))
			resp.Body.Close()
			a.log.Error("agent: upstream non-200", "iter", iter, "status", resp.StatusCode)
			sendErr(resp.StatusCode, "upstream error: "+string(respBody))
			return "", "", nil, false
		}

		content, toolCalls, finishReason, err := readUpstreamStream(ctx, resp, onDelta)
		if err != nil {
			a.log.Error("agent: upstream stream error", "iter", iter, "err", err)
			sendErr(http.StatusBadGateway, "upstream stream error: "+err.Error())
			return "", "", nil, false
		}
		a.log.Info("agent: upstream done",
			"iter", iter, "finish_reason", finishReason,
			"tool_calls", len(toolCalls), "content_len", len(content),
		)

		msg := Message{Role: "assistant", Content: content, ToolCalls: toolCalls}
		messages = append(messages, msg)

		if finishReason != "tool_calls" || len(toolCalls) == 0 {
			return content, finishReason, nil, true
		}

		// Execute known tools (local in-process first, then MCP); pass unknown
		// ones back to the client.
		local := localToolIndex(a.cfg.LocalTools)
		var remaining []ToolCall
		for _, tc := range toolCalls {
			a.emitProgress(w, flush, toolProgress{
				Iter: iter, Tool: tc.Function.Name, Args: tc.Function.Arguments, Status: "calling",
			})

			var (
				resultContent string
				isError       bool
				callErr       error
			)
			if t, ok := local[tc.Function.Name]; ok {
				// In-process execution — never touches the MCP endpoint.
				out, invokeErr := t.Invoke(ctx, json.RawMessage(tc.Function.Arguments))
				if invokeErr != nil {
					callErr = invokeErr
					resultContent = fmt.Sprintf(`{"error":%q}`, invokeErr.Error())
					a.log.Warn("agent: local tool error", "tool", tc.Function.Name, "err", invokeErr)
				} else {
					b, _ := json.Marshal(out)
					resultContent = string(b)
				}
			} else {
				out, found, callToolErr := a.callTool(ctx, tc.Function.Name, tc.Function.Arguments)
				if !found {
					remaining = append(remaining, tc)
					continue
				}
				resultContent, isError, callErr = out.text, out.isError, callToolErr
			}

			status, summary := "done", any(nil)
			if callErr != nil {
				status = "error"
				a.log.Warn("agent: tool error", "tool", tc.Function.Name, "err", callErr)
			} else if isError {
				status = "error"
			} else {
				summary = previewOf(resultContent)
			}
			a.emitProgress(w, flush, toolProgress{
				Iter: iter, Tool: tc.Function.Name, Status: status,
				Bytes: len(resultContent), Result: summary, Err: errText(callErr),
			})
			messages = append(messages, Message{
				Role: "tool", Content: resultContent, ToolCallID: tc.ID,
			})
		}

		if len(remaining) > 0 {
			ftc := make([]FrontendToolCall, len(remaining))
			for i, tc := range remaining {
				var args any
				_ = json.Unmarshal([]byte(tc.Function.Arguments), &args)
				ftc[i] = FrontendToolCall{ID: tc.ID, Name: tc.Function.Name, Arguments: args}
			}
			return content, finishReason, ftc, true
		}
	}

	a.log.Error("agent: agentic loop did not converge", "maxIter", a.cfg.MaxToolIterations)
	sendErr(http.StatusInternalServerError, "agentic loop did not converge")
	return "", "", nil, false
}

func (a *Agent) emitProgress(w io.Writer, flush func(), p toolProgress) {
	if flush == nil {
		return
	}
	emitSSEEvent(w, a.cfg.ProgressEvent, p)
	flush()
}

func errText(err error) string {
	if err == nil {
		return ""
	}
	return err.Error()
}

// mergeTools injects the agent-side tools into the request, deduplicating
// against tools the client already supplied.
func mergeTools(req ChatRequest, toolSets ...[]ToolDef) ChatRequest {
	existing := make(map[string]bool, len(req.Tools))
	for _, t := range req.Tools {
		existing[t.Function.Name] = true
	}
	for _, set := range toolSets {
		for _, t := range set {
			if !existing[t.Function.Name] {
				req.Tools = append(req.Tools, t)
			}
		}
	}
	return req
}

// localToolDefs converts in-process tools to OpenAI definitions.
func localToolDefs(tools []Tool) []ToolDef {
	defs := make([]ToolDef, 0, len(tools))
	for _, t := range tools {
		schema := t.InputSchema
		if len(schema) == 0 {
			schema = Object(nil, nil)
		}
		defs = append(defs, ToolDef{Type: "function", Function: FuncDef{
			Name:        t.Name,
			Description: t.Description,
			Parameters:  schema,
		}})
	}
	return defs
}

// ── Upstream (OpenAI-compatible) client ────────────────────────────────────────

func (a *Agent) callUpstream(ctx context.Context, req ChatRequest) (*http.Response, error) {
	b, err := json.Marshal(req)
	if err != nil {
		return nil, fmt.Errorf("marshal request: %w", err)
	}
	httpReq, err := http.NewRequestWithContext(ctx, http.MethodPost,
		a.cfg.UpstreamURL+"/v1/chat/completions", bytes.NewReader(b))
	if err != nil {
		return nil, fmt.Errorf("build request: %w", err)
	}
	httpReq.Header.Set("Content-Type", "application/json")
	httpReq.Header.Set("Authorization", "Bearer "+a.cfg.UpstreamAPIKey)
	return a.client.Do(httpReq)
}

// readUpstreamStream reads an upstream SSE chat stream, forwarding each content
// delta to onDelta, and returns the accumulated content, completed tool calls,
// and finish reason.
func readUpstreamStream(ctx context.Context, resp *http.Response, onDelta func(string)) (content string, toolCalls []ToolCall, finishReason string, err error) {
	defer resp.Body.Close()

	reader := bufio.NewReader(resp.Body)

	type partialTool struct {
		id        string
		name      string
		arguments strings.Builder
	}
	partials := make(map[int]*partialTool)
	var contentBuf strings.Builder

	for {
		select {
		case <-ctx.Done():
			return contentBuf.String(), nil, "", ctx.Err()
		default:
		}

		line, readErr := reader.ReadString('\n')
		if readErr != nil {
			if readErr == io.EOF {
				break
			}
			return contentBuf.String(), nil, "", readErr
		}
		line = strings.TrimSpace(line)
		if !strings.HasPrefix(line, "data: ") {
			continue
		}
		data := strings.TrimPrefix(line, "data: ")
		if data == "[DONE]" {
			break
		}

		var chunk struct {
			Choices []struct {
				Delta struct {
					Content   string `json:"content"`
					ToolCalls []struct {
						Index    int    `json:"index"`
						ID       string `json:"id"`
						Function struct {
							Name      string `json:"name"`
							Arguments string `json:"arguments"`
						} `json:"function"`
					} `json:"tool_calls"`
				} `json:"delta"`
				FinishReason *string `json:"finish_reason"`
			} `json:"choices"`
		}
		if err := json.Unmarshal([]byte(data), &chunk); err != nil {
			continue
		}
		if len(chunk.Choices) == 0 {
			continue
		}

		choice := chunk.Choices[0]
		if choice.Delta.Content != "" {
			contentBuf.WriteString(choice.Delta.Content)
			onDelta(choice.Delta.Content)
		}
		for _, tc := range choice.Delta.ToolCalls {
			p, ok := partials[tc.Index]
			if !ok {
				p = &partialTool{}
				partials[tc.Index] = p
			}
			if tc.ID != "" {
				p.id = tc.ID
			}
			if tc.Function.Name != "" {
				p.name = tc.Function.Name
			}
			if tc.Function.Arguments != "" {
				p.arguments.WriteString(tc.Function.Arguments)
			}
		}
		if choice.FinishReason != nil {
			finishReason = *choice.FinishReason
			break
		}
	}

	if finishReason == "tool_calls" {
		for i := 0; ; i++ {
			p, ok := partials[i]
			if !ok {
				break
			}
			toolCalls = append(toolCalls, ToolCall{
				ID:       p.id,
				Type:     "function",
				Function: FunctionCall{Name: p.name, Arguments: p.arguments.String()},
			})
		}
	}
	return contentBuf.String(), toolCalls, finishReason, nil
}

// localToolIndex builds a name→tool map for O(1) in-process dispatch.
func localToolIndex(tools []Tool) map[string]Tool {
	if len(tools) == 0 {
		return nil
	}
	idx := make(map[string]Tool, len(tools))
	for _, t := range tools {
		idx[t.Name] = t
	}
	return idx
}

// ── MCP client (tools/list + tools/call over streamable HTTP) ─────────────────

type mcpToolList struct {
	Tools []struct {
		Name        string          `json:"name"`
		Description string          `json:"description"`
		InputSchema json.RawMessage `json:"inputSchema"`
	} `json:"tools"`
}

type mcpCallResult struct {
	Content []struct {
		Type string `json:"type"`
		Text string `json:"text"`
	} `json:"content"`
	IsError bool `json:"isError"`
}

// toolOutput is the normalised result of a tools/call.
type toolOutput struct {
	text    string // joined text blocks — what the model sees
	isError bool   // MCP isError flag (a tool-level failure the model can read)
}

// listTools fetches the MCP server's advertised tools as OpenAI definitions.
func (a *Agent) listTools(ctx context.Context) ([]ToolDef, error) {
	var out mcpToolList
	if err := a.mcpRequest(ctx, "tools/list", nil, &out); err != nil {
		return nil, err
	}
	defs := make([]ToolDef, 0, len(out.Tools))
	for _, t := range out.Tools {
		schema := t.InputSchema
		if len(schema) == 0 {
			schema = Object(nil, nil)
		}
		defs = append(defs, ToolDef{Type: "function", Function: FuncDef{
			Name:        t.Name,
			Description: t.Description,
			Parameters:  schema,
		}})
	}
	return defs, nil
}

// callTool dispatches one tools/call. found=false means the MCP server does not
// know the tool (the caller passes it through to the frontend).
func (a *Agent) callTool(ctx context.Context, name, argsJSON string) (out toolOutput, found bool, err error) {
	params := map[string]any{"name": name}
	if strings.TrimSpace(argsJSON) != "" {
		var args any
		if json.Unmarshal([]byte(argsJSON), &args) == nil {
			params["arguments"] = args
		}
	}
	var res mcpCallResult
	if err := a.mcpRequest(ctx, "tools/call", params, &res); err != nil {
		if strings.Contains(err.Error(), "unknown tool") {
			return toolOutput{}, false, nil
		}
		return toolOutput{}, true, err
	}

	var texts strings.Builder
	for _, c := range res.Content {
		if c.Text != "" {
			if texts.Len() > 0 {
				texts.WriteString("\n")
			}
			texts.WriteString(c.Text)
		}
	}
	return toolOutput{
		text:    texts.String(),
		isError: res.IsError,
	}, true, nil
}

// previewOf builds a tiny structured preview of a tool's JSON output for the
// progress event: top-level keys for objects, length for arrays.
func previewOf(s string) any {
	var raw any
	if json.Unmarshal([]byte(s), &raw) != nil {
		return nil
	}
	switch v := raw.(type) {
	case map[string]any:
		keys := make([]string, 0, len(v))
		for k := range v {
			keys = append(keys, k)
		}
		return map[string]any{"keys": keys}
	case []any:
		return map[string]any{"count": len(v)}
	default:
		return nil
	}
}

// mcpRequest posts one JSON-RPC request to the MCP endpoint, appending the
// configured Bearer token, and decodes the result into out.
func (a *Agent) mcpRequest(ctx context.Context, method string, params, out any) error {
	body, err := json.Marshal(map[string]any{
		"jsonrpc": "2.0",
		"id":      1,
		"method":  method,
		"params":  params,
	})
	if err != nil {
		return err
	}
	req, err := http.NewRequestWithContext(ctx, http.MethodPost, a.cfg.MCPURL, bytes.NewReader(body))
	if err != nil {
		return err
	}
	req.Header.Set("Content-Type", "application/json")
	req.Header.Set("Accept", "application/json")
	if a.cfg.MCPToken != "" {
		req.Header.Set("Authorization", "Bearer "+a.cfg.MCPToken)
	}
	resp, err := http.DefaultClient.Do(req)
	if err != nil {
		return fmt.Errorf("mcp %s: %w", method, err)
	}
	defer resp.Body.Close()
	respBody, err := io.ReadAll(io.LimitReader(resp.Body, 16<<20))
	if err != nil {
		return fmt.Errorf("mcp %s: read: %w", method, err)
	}
	if resp.StatusCode != http.StatusOK {
		return fmt.Errorf("mcp %s: status %d: %s", method, resp.StatusCode, truncate(string(respBody), 512))
	}
	var rpcResp struct {
		Result json.RawMessage `json:"result"`
		Error  *struct {
			Code    int    `json:"code"`
			Message string `json:"message"`
		} `json:"error"`
	}
	if err := json.Unmarshal(respBody, &rpcResp); err != nil {
		return fmt.Errorf("mcp %s: decode response: %w", method, err)
	}
	if rpcResp.Error != nil {
		return fmt.Errorf("mcp %s: %s", method, rpcResp.Error.Message)
	}
	if out != nil && len(rpcResp.Result) > 0 {
		if err := json.Unmarshal(rpcResp.Result, out); err != nil {
			return fmt.Errorf("mcp %s: decode result: %w", method, err)
		}
	}
	return nil
}

func truncate(s string, n int) string {
	if len(s) <= n {
		return s
	}
	return s[:n] + "…"
}

// ── SSE helpers ────────────────────────────────────────────────────────────────

// emitSSEEvent writes a named SSE event: "event: <name>\ndata: <json>\n\n".
func emitSSEEvent(w io.Writer, event string, v any) {
	fmt.Fprintf(w, "event: %s\n", event)
	emitSSE(w, v)
}

// emitSSE writes one SSE data line: "data: <payload>\n\n".
func emitSSE(w io.Writer, v any) {
	payload, ok := v.(string)
	if !ok {
		b, _ := json.Marshal(v)
		payload = string(b)
	}
	fmt.Fprintf(w, "data: %s\n\n", payload)
}

// writeJSON encodes v as JSON with the given status.
func writeJSON(w http.ResponseWriter, status int, v any) {
	w.Header().Set("Content-Type", "application/json")
	w.WriteHeader(status)
	_ = json.NewEncoder(w).Encode(v)
}