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5 Commits

Author SHA1 Message Date
Admin
bdbe48ce1a fix: register MediaSession action handlers for iOS lock screen resume
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Without explicit setActionHandler('play'/'pause'/...) the browser uses
default handling which on iOS Safari stops working after ~1 min of
pause in background/locked state (AudioSession gets suspended and the
lock screen button can't resume it without a direct user gesture).

Registering handlers in the layout (where audioEl lives) ensures:
- play/pause call audioEl directly — iOS treats this as a trusted
  gesture and allows .play() even from the lock screen
- seekbackward/seekforward map to ±15s / ±30s
- playbackState stays in sync so the lock screen shows the right icon

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-04-04 18:22:09 +05:00
Admin
87c541b178 fix: text-gen chapter-names truncation and bad title format
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- Default max_tokens to 4096 for chapter-names so large chapter lists
  are not cut off mid-JSON by the model's token limit
- Rewrite system prompt to clarify placeholder semantics ({n} = number,
  {scene} = scene hint) and explicitly forbid echoing the number inside
  the title field — prevents "Chapter 1 - 1: ..." style duplications
- UI: surface raw_response in the error area when chapters:[] is returned
  so the admin can see what the model actually produced
2026-04-04 13:43:29 +05:00
Admin
0b82d96798 feat: admin Text Gen tool — chapter names + book description via CF Workers AI
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Adds backend handlers and SvelteKit UI for an admin text generation tool.
The tool lets admins propose and apply AI-generated chapter titles and book
descriptions using Cloudflare Workers AI (12 LLM models, model selector shared
across both tabs).
2026-04-04 13:16:10 +05:00
Admin
a2dd0681d2 fix: pass CFAI_ACCOUNT_ID/CFAI_API_TOKEN into backend and runner containers
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Both vars were in Doppler but never forwarded via docker-compose.yml, causing
the image generation handler to return 503 "CFAI_ACCOUNT_ID/CFAI_API_TOKEN missing".
2026-04-04 12:50:19 +05:00
Admin
ad50bd21ea chore: add .githooks/pre-commit to auto-recompile paraglide on JSON changes
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Committed hooks directory (.githooks/pre-commit) auto-runs `npm run paraglide`
and force-stages the generated JS output whenever ui/messages/*.json files are
staged, preventing svelte-check CI failures from stale paraglide output.

Added `just setup` recipe to configure core.hooksPath for new contributors.
2026-04-04 12:11:42 +05:00
23 changed files with 1497 additions and 1 deletions

14
.githooks/pre-commit Executable file
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@@ -0,0 +1,14 @@
#!/usr/bin/env bash
# Auto-recompile paraglide messages when ui/messages/*.json files are staged.
# Prevents svelte-check / CI failures caused by stale generated JS files.
set -euo pipefail
STAGED=$(git diff --cached --name-only)
if echo "$STAGED" | grep -q '^ui/messages/'; then
echo "[pre-commit] ui/messages/*.json changed — recompiling paraglide..."
(cd ui && npm run paraglide --silent)
git add -f ui/src/lib/paraglide/messages/
echo "[pre-commit] paraglide output re-staged."
fi

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@@ -133,6 +133,15 @@ func run() error {
log.Info("CFAI_ACCOUNT_ID/CFAI_API_TOKEN not set — image generation unavailable")
}
// ── Cloudflare Workers AI Text Generation ─────────────────────────────────
var textGenClient cfai.TextGenClient
if cfg.CFAI.AccountID != "" && cfg.CFAI.APIToken != "" {
textGenClient = cfai.NewTextGen(cfg.CFAI.AccountID, cfg.CFAI.APIToken)
log.Info("cloudflare AI text generation enabled")
} else {
log.Info("CFAI_ACCOUNT_ID/CFAI_API_TOKEN not set — text generation unavailable")
}
// ── Meilisearch (search reads only; indexing is the runner's job) ────────
var searchIndex meili.Client
if cfg.Meilisearch.URL != "" {
@@ -184,6 +193,8 @@ func run() error {
PocketTTS: pocketTTSClient,
CFAI: cfaiClient,
ImageGen: imageGenClient,
TextGen: textGenClient,
BookWriter: store,
Log: log,
},
)

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@@ -0,0 +1,424 @@
package backend
import (
"encoding/json"
"fmt"
"net/http"
"strings"
"github.com/libnovel/backend/internal/cfai"
"github.com/libnovel/backend/internal/domain"
)
// handleAdminTextGenModels handles GET /api/admin/text-gen/models.
// Returns the list of supported Cloudflare AI text generation models.
func (s *Server) handleAdminTextGenModels(w http.ResponseWriter, r *http.Request) {
if s.deps.TextGen == nil {
jsonError(w, http.StatusServiceUnavailable, "text generation not configured (CFAI_ACCOUNT_ID/CFAI_API_TOKEN missing)")
return
}
models := s.deps.TextGen.Models()
writeJSON(w, 0, map[string]any{"models": models})
}
// ── Chapter names ─────────────────────────────────────────────────────────────
// textGenChapterNamesRequest is the JSON body for POST /api/admin/text-gen/chapter-names.
type textGenChapterNamesRequest struct {
// Slug is the book slug whose chapters to process.
Slug string `json:"slug"`
// Pattern is a free-text description of the desired naming convention,
// e.g. "Chapter {n}: {brief scene description}".
Pattern string `json:"pattern"`
// Model is the CF Workers AI model ID. Defaults to the recommended model when empty.
Model string `json:"model"`
// MaxTokens limits response length (0 = model default).
MaxTokens int `json:"max_tokens"`
}
// textGenChapterNamesResponse is the JSON body returned by POST /api/admin/text-gen/chapter-names.
type textGenChapterNamesResponse struct {
// Chapters is the list of proposed chapter titles, indexed by chapter number.
Chapters []proposedChapterTitle `json:"chapters"`
// Model is the model that was used.
Model string `json:"model"`
// RawResponse is the raw model output for debugging / manual editing.
RawResponse string `json:"raw_response"`
}
// proposedChapterTitle is a single chapter with its AI-proposed title.
type proposedChapterTitle struct {
Number int `json:"number"`
// OldTitle is the current title stored in the database.
OldTitle string `json:"old_title"`
// NewTitle is the AI-proposed replacement.
NewTitle string `json:"new_title"`
}
// handleAdminTextGenChapterNames handles POST /api/admin/text-gen/chapter-names.
//
// Reads all chapter titles for the given slug, sends them to the LLM with the
// requested naming pattern, and returns proposed replacements. Does NOT persist
// anything — the frontend shows a diff and the user must confirm via
// POST /api/admin/text-gen/chapter-names/apply.
func (s *Server) handleAdminTextGenChapterNames(w http.ResponseWriter, r *http.Request) {
if s.deps.TextGen == nil {
jsonError(w, http.StatusServiceUnavailable, "text generation not configured (CFAI_ACCOUNT_ID/CFAI_API_TOKEN missing)")
return
}
var req textGenChapterNamesRequest
if err := json.NewDecoder(r.Body).Decode(&req); err != nil {
jsonError(w, http.StatusBadRequest, "parse body: "+err.Error())
return
}
if strings.TrimSpace(req.Slug) == "" {
jsonError(w, http.StatusBadRequest, "slug is required")
return
}
if strings.TrimSpace(req.Pattern) == "" {
jsonError(w, http.StatusBadRequest, "pattern is required")
return
}
// Load existing chapter list.
chapters, err := s.deps.BookReader.ListChapters(r.Context(), req.Slug)
if err != nil {
jsonError(w, http.StatusInternalServerError, "list chapters: "+err.Error())
return
}
if len(chapters) == 0 {
jsonError(w, http.StatusNotFound, fmt.Sprintf("no chapters found for slug %q", req.Slug))
return
}
// Build the prompt.
var chapterListSB strings.Builder
for _, ch := range chapters {
chapterListSB.WriteString(fmt.Sprintf("%d: %s\n", ch.Number, ch.Title))
}
systemPrompt := `You are a chapter title editor for a web novel platform. ` +
`The user provides a list of chapter numbers with their current titles, ` +
`and a naming pattern template. ` +
`Your job: produce one new title for every chapter, following the pattern exactly. ` +
`Pattern placeholders: {n} = the chapter number (integer), {scene} = a very short (25 word) scene hint derived from the existing title. ` +
`RULES: ` +
`1. Do NOT include the chapter number inside the title text — the {n} placeholder is already in the pattern. ` +
`2. Do NOT include any prefix like "Chapter X -" or "Chapter X:" inside the title field itself. ` +
`3. The "title" field in your JSON must be the fully-rendered string (e.g. if pattern is "Chapter {n}: {scene}", output "Chapter 3: The Bet"). ` +
`4. Respond ONLY with a raw JSON array — no prose, no markdown fences, no explanation. ` +
`5. Each element: {"number": <int>, "title": <string>}. ` +
`6. Output every chapter in the input list, in order. Do not skip any.`
userPrompt := fmt.Sprintf(
"Naming pattern: %s\n\nChapters:\n%s",
req.Pattern,
chapterListSB.String(),
)
model := cfai.TextModel(req.Model)
if model == "" {
model = cfai.DefaultTextModel
}
// Default to 4096 tokens so large chapter lists are not truncated.
maxTokens := req.MaxTokens
if maxTokens <= 0 {
maxTokens = 4096
}
s.deps.Log.Info("admin: text-gen chapter-names requested",
"slug", req.Slug, "chapters", len(chapters), "model", model, "max_tokens", maxTokens)
raw, genErr := s.deps.TextGen.Generate(r.Context(), cfai.TextRequest{
Model: model,
Messages: []cfai.TextMessage{
{Role: "system", Content: systemPrompt},
{Role: "user", Content: userPrompt},
},
MaxTokens: maxTokens,
})
if genErr != nil {
s.deps.Log.Error("admin: text-gen chapter-names failed", "err", genErr)
jsonError(w, http.StatusBadGateway, "text generation failed: "+genErr.Error())
return
}
// Parse the JSON array from the model response.
proposed := parseChapterTitlesJSON(raw)
// Build the response: merge proposed titles with old titles.
// Index existing chapters by number for O(1) lookup.
existing := make(map[int]string, len(chapters))
for _, ch := range chapters {
existing[ch.Number] = ch.Title
}
result := make([]proposedChapterTitle, 0, len(proposed))
for _, p := range proposed {
result = append(result, proposedChapterTitle{
Number: p.Number,
OldTitle: existing[p.Number],
NewTitle: p.Title,
})
}
writeJSON(w, 0, textGenChapterNamesResponse{
Chapters: result,
Model: string(model),
RawResponse: raw,
})
}
// parseChapterTitlesJSON extracts the JSON array from a model response.
// It tolerates markdown fences and surrounding prose.
type rawChapterTitle struct {
Number int `json:"number"`
Title string `json:"title"`
}
func parseChapterTitlesJSON(raw string) []rawChapterTitle {
// Strip markdown fences if present.
s := raw
if idx := strings.Index(s, "```json"); idx >= 0 {
s = s[idx+7:]
} else if idx := strings.Index(s, "```"); idx >= 0 {
s = s[idx+3:]
}
if idx := strings.LastIndex(s, "```"); idx >= 0 {
s = s[:idx]
}
// Find the JSON array boundaries.
start := strings.Index(s, "[")
end := strings.LastIndex(s, "]")
if start < 0 || end <= start {
return nil
}
s = s[start : end+1]
var out []rawChapterTitle
json.Unmarshal([]byte(s), &out) //nolint:errcheck
return out
}
// ── Apply chapter names ───────────────────────────────────────────────────────
// applyChapterNamesRequest is the JSON body for POST /api/admin/text-gen/chapter-names/apply.
type applyChapterNamesRequest struct {
// Slug is the book slug to update.
Slug string `json:"slug"`
// Chapters is the list of chapters to save (number + new_title pairs).
// The UI may modify individual titles before confirming.
Chapters []applyChapterEntry `json:"chapters"`
}
type applyChapterEntry struct {
Number int `json:"number"`
Title string `json:"title"`
}
// handleAdminTextGenApplyChapterNames handles POST /api/admin/text-gen/chapter-names/apply.
//
// Persists the confirmed chapter titles to PocketBase chapters_idx.
func (s *Server) handleAdminTextGenApplyChapterNames(w http.ResponseWriter, r *http.Request) {
if s.deps.BookWriter == nil {
jsonError(w, http.StatusServiceUnavailable, "book writer not configured")
return
}
var req applyChapterNamesRequest
if err := json.NewDecoder(r.Body).Decode(&req); err != nil {
jsonError(w, http.StatusBadRequest, "parse body: "+err.Error())
return
}
if strings.TrimSpace(req.Slug) == "" {
jsonError(w, http.StatusBadRequest, "slug is required")
return
}
if len(req.Chapters) == 0 {
jsonError(w, http.StatusBadRequest, "chapters is required")
return
}
refs := make([]domain.ChapterRef, 0, len(req.Chapters))
for _, ch := range req.Chapters {
if ch.Number <= 0 {
continue
}
refs = append(refs, domain.ChapterRef{
Number: ch.Number,
Title: strings.TrimSpace(ch.Title),
})
}
if err := s.deps.BookWriter.WriteChapterRefs(r.Context(), req.Slug, refs); err != nil {
s.deps.Log.Error("admin: apply chapter names failed", "slug", req.Slug, "err", err)
jsonError(w, http.StatusInternalServerError, "write chapter refs: "+err.Error())
return
}
s.deps.Log.Info("admin: chapter names applied", "slug", req.Slug, "count", len(refs))
writeJSON(w, 0, map[string]any{"updated": len(refs)})
}
// ── Book description ──────────────────────────────────────────────────────────
// textGenDescriptionRequest is the JSON body for POST /api/admin/text-gen/description.
type textGenDescriptionRequest struct {
// Slug is the book slug whose description to regenerate.
Slug string `json:"slug"`
// Instructions is an optional free-text hint for the AI,
// e.g. "Write a 3-sentence blurb, avoid spoilers, dramatic tone."
Instructions string `json:"instructions"`
// Model is the CF Workers AI model ID. Defaults to recommended when empty.
Model string `json:"model"`
// MaxTokens limits response length (0 = model default).
MaxTokens int `json:"max_tokens"`
}
// textGenDescriptionResponse is the JSON body returned by POST /api/admin/text-gen/description.
type textGenDescriptionResponse struct {
// OldDescription is the current summary stored in the database.
OldDescription string `json:"old_description"`
// NewDescription is the AI-proposed replacement.
NewDescription string `json:"new_description"`
// Model is the model that was used.
Model string `json:"model"`
}
// handleAdminTextGenDescription handles POST /api/admin/text-gen/description.
//
// Reads the current book metadata, sends it to the LLM, and returns a proposed
// new description. Does NOT persist anything — the user must confirm via
// POST /api/admin/text-gen/description/apply.
func (s *Server) handleAdminTextGenDescription(w http.ResponseWriter, r *http.Request) {
if s.deps.TextGen == nil {
jsonError(w, http.StatusServiceUnavailable, "text generation not configured (CFAI_ACCOUNT_ID/CFAI_API_TOKEN missing)")
return
}
var req textGenDescriptionRequest
if err := json.NewDecoder(r.Body).Decode(&req); err != nil {
jsonError(w, http.StatusBadRequest, "parse body: "+err.Error())
return
}
if strings.TrimSpace(req.Slug) == "" {
jsonError(w, http.StatusBadRequest, "slug is required")
return
}
// Load current book metadata.
meta, ok, err := s.deps.BookReader.ReadMetadata(r.Context(), req.Slug)
if err != nil {
jsonError(w, http.StatusInternalServerError, "read metadata: "+err.Error())
return
}
if !ok {
jsonError(w, http.StatusNotFound, fmt.Sprintf("book %q not found", req.Slug))
return
}
systemPrompt := `You are a book description writer for a web novel platform. ` +
`Given a book's title, author, genres, and current description, write an improved ` +
`description that accurately captures the story. ` +
`Respond with ONLY the new description text — no title, no labels, no markdown, no quotes.`
instructions := strings.TrimSpace(req.Instructions)
if instructions == "" {
instructions = "Write a compelling 24 sentence description. Keep it spoiler-free and engaging."
}
userPrompt := fmt.Sprintf(
"Title: %s\nAuthor: %s\nGenres: %s\nStatus: %s\n\nCurrent description:\n%s\n\nInstructions: %s",
meta.Title,
meta.Author,
strings.Join(meta.Genres, ", "),
meta.Status,
meta.Summary,
instructions,
)
model := cfai.TextModel(req.Model)
if model == "" {
model = cfai.DefaultTextModel
}
s.deps.Log.Info("admin: text-gen description requested",
"slug", req.Slug, "model", model)
newDesc, genErr := s.deps.TextGen.Generate(r.Context(), cfai.TextRequest{
Model: model,
Messages: []cfai.TextMessage{
{Role: "system", Content: systemPrompt},
{Role: "user", Content: userPrompt},
},
MaxTokens: req.MaxTokens,
})
if genErr != nil {
s.deps.Log.Error("admin: text-gen description failed", "err", genErr)
jsonError(w, http.StatusBadGateway, "text generation failed: "+genErr.Error())
return
}
writeJSON(w, 0, textGenDescriptionResponse{
OldDescription: meta.Summary,
NewDescription: strings.TrimSpace(newDesc),
Model: string(model),
})
}
// ── Apply description ─────────────────────────────────────────────────────────
// applyDescriptionRequest is the JSON body for POST /api/admin/text-gen/description/apply.
type applyDescriptionRequest struct {
// Slug is the book slug to update.
Slug string `json:"slug"`
// Description is the new summary text to persist.
Description string `json:"description"`
}
// handleAdminTextGenApplyDescription handles POST /api/admin/text-gen/description/apply.
//
// Updates only the summary field in PocketBase, leaving all other book metadata
// unchanged.
func (s *Server) handleAdminTextGenApplyDescription(w http.ResponseWriter, r *http.Request) {
if s.deps.BookWriter == nil {
jsonError(w, http.StatusServiceUnavailable, "book writer not configured")
return
}
var req applyDescriptionRequest
if err := json.NewDecoder(r.Body).Decode(&req); err != nil {
jsonError(w, http.StatusBadRequest, "parse body: "+err.Error())
return
}
if strings.TrimSpace(req.Slug) == "" {
jsonError(w, http.StatusBadRequest, "slug is required")
return
}
if strings.TrimSpace(req.Description) == "" {
jsonError(w, http.StatusBadRequest, "description is required")
return
}
// Read existing metadata so we can write it back with only summary changed.
meta, ok, err := s.deps.BookReader.ReadMetadata(r.Context(), req.Slug)
if err != nil {
jsonError(w, http.StatusInternalServerError, "read metadata: "+err.Error())
return
}
if !ok {
jsonError(w, http.StatusNotFound, fmt.Sprintf("book %q not found", req.Slug))
return
}
meta.Summary = strings.TrimSpace(req.Description)
if err := s.deps.BookWriter.WriteMetadata(r.Context(), meta); err != nil {
s.deps.Log.Error("admin: apply description failed", "slug", req.Slug, "err", err)
jsonError(w, http.StatusInternalServerError, "write metadata: "+err.Error())
return
}
s.deps.Log.Info("admin: book description applied", "slug", req.Slug)
writeJSON(w, 0, map[string]any{"updated": true})
}

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@@ -76,6 +76,12 @@ type Dependencies struct {
// ImageGen is the Cloudflare Workers AI image generation client.
// If nil, image generation endpoints return 503.
ImageGen cfai.ImageGenClient
// TextGen is the Cloudflare Workers AI text generation client.
// If nil, text generation endpoints return 503.
TextGen cfai.TextGenClient
// BookWriter writes book metadata and chapter refs to PocketBase.
// Used by admin text-gen apply endpoints.
BookWriter bookstore.BookWriter
// Log is the structured logger.
Log *slog.Logger
}
@@ -191,6 +197,13 @@ func (s *Server) ListenAndServe(ctx context.Context) error {
mux.HandleFunc("POST /api/admin/image-gen", s.handleAdminImageGen)
mux.HandleFunc("POST /api/admin/image-gen/save-cover", s.handleAdminImageGenSaveCover)
// Admin text generation endpoints (chapter names + book description)
mux.HandleFunc("GET /api/admin/text-gen/models", s.handleAdminTextGenModels)
mux.HandleFunc("POST /api/admin/text-gen/chapter-names", s.handleAdminTextGenChapterNames)
mux.HandleFunc("POST /api/admin/text-gen/chapter-names/apply", s.handleAdminTextGenApplyChapterNames)
mux.HandleFunc("POST /api/admin/text-gen/description", s.handleAdminTextGenDescription)
mux.HandleFunc("POST /api/admin/text-gen/description/apply", s.handleAdminTextGenApplyDescription)
// Voices list
mux.HandleFunc("GET /api/voices", s.handleVoices)

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@@ -0,0 +1,239 @@
// Text generation via Cloudflare Workers AI LLM models.
//
// API reference:
//
// POST https://api.cloudflare.com/client/v4/accounts/{accountID}/ai/run/{model}
// Authorization: Bearer {apiToken}
// Content-Type: application/json
//
// Request body (all models):
//
// { "messages": [{"role":"system","content":"..."},{"role":"user","content":"..."}] }
//
// Response (wrapped):
//
// { "result": { "response": "..." }, "success": true }
package cfai
import (
"bytes"
"context"
"encoding/json"
"fmt"
"io"
"net/http"
"time"
)
// TextModel identifies a Cloudflare Workers AI text generation model.
type TextModel string
const (
// TextModelGemma4 — Google Gemma 4, 256k context.
TextModelGemma4 TextModel = "@cf/google/gemma-4-26b-a4b-it"
// TextModelLlama4Scout — Meta Llama 4 Scout 17B, multimodal.
TextModelLlama4Scout TextModel = "@cf/meta/llama-4-scout-17b-16e-instruct"
// TextModelLlama33_70B — Meta Llama 3.3 70B, fast fp8.
TextModelLlama33_70B TextModel = "@cf/meta/llama-3.3-70b-instruct-fp8-fast"
// TextModelQwen3_30B — Qwen3 30B MoE, function calling.
TextModelQwen3_30B TextModel = "@cf/qwen/qwen3-30b-a3b-fp8"
// TextModelMistralSmall — Mistral Small 3.1 24B, 128k context.
TextModelMistralSmall TextModel = "@cf/mistralai/mistral-small-3.1-24b-instruct"
// TextModelQwQ32B — Qwen QwQ 32B reasoning model.
TextModelQwQ32B TextModel = "@cf/qwen/qwq-32b"
// TextModelDeepSeekR1 — DeepSeek R1 distill Qwen 32B.
TextModelDeepSeekR1 TextModel = "@cf/deepseek-ai/deepseek-r1-distill-qwen-32b"
// TextModelGemma3_12B — Google Gemma 3 12B, 80k context.
TextModelGemma3_12B TextModel = "@cf/google/gemma-3-12b-it"
// TextModelGPTOSS120B — OpenAI gpt-oss-120b, high reasoning.
TextModelGPTOSS120B TextModel = "@cf/openai/gpt-oss-120b"
// TextModelGPTOSS20B — OpenAI gpt-oss-20b, lower latency.
TextModelGPTOSS20B TextModel = "@cf/openai/gpt-oss-20b"
// TextModelNemotron3 — NVIDIA Nemotron 3 120B, agentic.
TextModelNemotron3 TextModel = "@cf/nvidia/nemotron-3-120b-a12b"
// TextModelLlama32_3B — Meta Llama 3.2 3B, lightweight.
TextModelLlama32_3B TextModel = "@cf/meta/llama-3.2-3b-instruct"
// DefaultTextModel is the default model used when none is specified.
DefaultTextModel = TextModelLlama4Scout
)
// TextModelInfo describes a single text generation model.
type TextModelInfo struct {
ID string `json:"id"`
Label string `json:"label"`
Provider string `json:"provider"`
ContextSize int `json:"context_size"` // max context in tokens
Description string `json:"description"`
}
// AllTextModels returns metadata about every supported text generation model.
func AllTextModels() []TextModelInfo {
return []TextModelInfo{
{
ID: string(TextModelGemma4), Label: "Gemma 4 26B", Provider: "Google",
ContextSize: 256000,
Description: "Google's most intelligent open model family. 256k context, function calling.",
},
{
ID: string(TextModelLlama4Scout), Label: "Llama 4 Scout 17B", Provider: "Meta",
ContextSize: 131000,
Description: "Natively multimodal, 16 experts. Good all-purpose model with function calling.",
},
{
ID: string(TextModelLlama33_70B), Label: "Llama 3.3 70B (fp8 fast)", Provider: "Meta",
ContextSize: 24000,
Description: "Llama 3.3 70B quantized to fp8 for speed. Excellent instruction following.",
},
{
ID: string(TextModelQwen3_30B), Label: "Qwen3 30B MoE", Provider: "Qwen",
ContextSize: 32768,
Description: "MoE architecture with strong reasoning and instruction following.",
},
{
ID: string(TextModelMistralSmall), Label: "Mistral Small 3.1 24B", Provider: "MistralAI",
ContextSize: 128000,
Description: "Strong text performance with 128k context and function calling.",
},
{
ID: string(TextModelQwQ32B), Label: "QwQ 32B (reasoning)", Provider: "Qwen",
ContextSize: 24000,
Description: "Reasoning model — thinks before answering. Slower but more accurate.",
},
{
ID: string(TextModelDeepSeekR1), Label: "DeepSeek R1 32B", Provider: "DeepSeek",
ContextSize: 80000,
Description: "R1-distilled reasoning model. Outperforms o1-mini on many benchmarks.",
},
{
ID: string(TextModelGemma3_12B), Label: "Gemma 3 12B", Provider: "Google",
ContextSize: 80000,
Description: "Multimodal, 128k context, multilingual (140+ languages).",
},
{
ID: string(TextModelGPTOSS120B), Label: "GPT-OSS 120B", Provider: "OpenAI",
ContextSize: 128000,
Description: "OpenAI open-weight model for production, general purpose, high reasoning.",
},
{
ID: string(TextModelGPTOSS20B), Label: "GPT-OSS 20B", Provider: "OpenAI",
ContextSize: 128000,
Description: "OpenAI open-weight model for lower latency and specialized use cases.",
},
{
ID: string(TextModelNemotron3), Label: "Nemotron 3 120B", Provider: "NVIDIA",
ContextSize: 256000,
Description: "Hybrid MoE with leading accuracy for multi-agent applications.",
},
{
ID: string(TextModelLlama32_3B), Label: "Llama 3.2 3B", Provider: "Meta",
ContextSize: 80000,
Description: "Lightweight model for simple tasks. Fast and cheap.",
},
}
}
// TextMessage is a single message in a chat conversation.
type TextMessage struct {
Role string `json:"role"` // "system" or "user"
Content string `json:"content"` // message text
}
// TextRequest is the input to Generate.
type TextRequest struct {
// Model is the CF Workers AI model ID. Defaults to DefaultTextModel when empty.
Model TextModel
// Messages is the conversation history (system + user messages).
Messages []TextMessage
// MaxTokens limits the output length (0 = model default).
MaxTokens int
}
// TextGenClient generates text via Cloudflare Workers AI LLM models.
type TextGenClient interface {
// Generate sends a chat-style request and returns the model's response text.
Generate(ctx context.Context, req TextRequest) (string, error)
// Models returns metadata about all supported text generation models.
Models() []TextModelInfo
}
// textGenHTTPClient is the concrete CF AI text generation client.
type textGenHTTPClient struct {
accountID string
apiToken string
http *http.Client
}
// NewTextGen returns a TextGenClient for the given Cloudflare account.
func NewTextGen(accountID, apiToken string) TextGenClient {
return &textGenHTTPClient{
accountID: accountID,
apiToken: apiToken,
http: &http.Client{Timeout: 5 * time.Minute},
}
}
// Generate sends messages to the model and returns the response text.
func (c *textGenHTTPClient) Generate(ctx context.Context, req TextRequest) (string, error) {
if req.Model == "" {
req.Model = DefaultTextModel
}
body := map[string]any{
"messages": req.Messages,
}
if req.MaxTokens > 0 {
body["max_tokens"] = req.MaxTokens
}
encoded, err := json.Marshal(body)
if err != nil {
return "", fmt.Errorf("cfai/text: marshal: %w", err)
}
url := fmt.Sprintf("https://api.cloudflare.com/client/v4/accounts/%s/ai/run/%s",
c.accountID, string(req.Model))
httpReq, err := http.NewRequestWithContext(ctx, http.MethodPost, url, bytes.NewReader(encoded))
if err != nil {
return "", fmt.Errorf("cfai/text: build request: %w", err)
}
httpReq.Header.Set("Authorization", "Bearer "+c.apiToken)
httpReq.Header.Set("Content-Type", "application/json")
resp, err := c.http.Do(httpReq)
if err != nil {
return "", fmt.Errorf("cfai/text: http: %w", err)
}
defer resp.Body.Close()
if resp.StatusCode != http.StatusOK {
errBody, _ := io.ReadAll(resp.Body)
msg := string(errBody)
if len(msg) > 300 {
msg = msg[:300]
}
return "", fmt.Errorf("cfai/text: model %s returned %d: %s", req.Model, resp.StatusCode, msg)
}
// CF AI wraps responses: { "result": { "response": "..." }, "success": true }
var wrapper struct {
Result struct {
Response string `json:"response"`
} `json:"result"`
Success bool `json:"success"`
Errors []string `json:"errors"`
}
if err := json.NewDecoder(resp.Body).Decode(&wrapper); err != nil {
return "", fmt.Errorf("cfai/text: decode response: %w", err)
}
if !wrapper.Success {
return "", fmt.Errorf("cfai/text: model %s error: %v", req.Model, wrapper.Errors)
}
return wrapper.Result.Response, nil
}
// Models returns all supported text generation model metadata.
func (c *textGenHTTPClient) Models() []TextModelInfo {
return AllTextModels()
}

View File

@@ -19,6 +19,9 @@ x-infra-env: &infra-env
MEILI_API_KEY: "${MEILI_MASTER_KEY}"
# Valkey
VALKEY_ADDR: "valkey:6379"
# Cloudflare AI (TTS + image generation)
CFAI_ACCOUNT_ID: "${CFAI_ACCOUNT_ID}"
CFAI_API_TOKEN: "${CFAI_API_TOKEN}"
services:
# ─── MinIO (object storage: chapters, audio, avatars, browse) ────────────────

View File

@@ -122,6 +122,13 @@ secrets-env:
secrets-dashboard:
doppler open dashboard
# ── Developer setup ───────────────────────────────────────────────────────────
# One-time dev setup: configure git to use committed hooks in .githooks/
setup:
git config core.hooksPath .githooks
@echo "Git hooks configured (.githooks/pre-commit active)."
# ── Gitea CI ──────────────────────────────────────────────────────────────────
# Validate workflow files

View File

@@ -363,6 +363,7 @@
"admin_nav_translation": "Translation",
"admin_nav_changelog": "Changelog",
"admin_nav_image_gen": "Image Gen",
"admin_nav_text_gen": "Text Gen",
"admin_nav_feedback": "Feedback",
"admin_nav_errors": "Errors",
"admin_nav_analytics": "Analytics",

View File

@@ -363,6 +363,7 @@
"admin_nav_translation": "Traduction",
"admin_nav_changelog": "Modifications",
"admin_nav_image_gen": "Image Gen",
"admin_nav_text_gen": "Text Gen",
"admin_nav_feedback": "Retours",
"admin_nav_errors": "Erreurs",
"admin_nav_analytics": "Analytique",

View File

@@ -363,6 +363,7 @@
"admin_nav_translation": "Terjemahan",
"admin_nav_changelog": "Perubahan",
"admin_nav_image_gen": "Image Gen",
"admin_nav_text_gen": "Text Gen",
"admin_nav_feedback": "Masukan",
"admin_nav_errors": "Kesalahan",
"admin_nav_analytics": "Analitik",

View File

@@ -363,6 +363,7 @@
"admin_nav_translation": "Tradução",
"admin_nav_changelog": "Alterações",
"admin_nav_image_gen": "Image Gen",
"admin_nav_text_gen": "Text Gen",
"admin_nav_feedback": "Feedback",
"admin_nav_errors": "Erros",
"admin_nav_analytics": "Análise",

View File

@@ -363,6 +363,7 @@
"admin_nav_translation": "Перевод",
"admin_nav_changelog": "Изменения",
"admin_nav_image_gen": "Image Gen",
"admin_nav_text_gen": "Text Gen",
"admin_nav_feedback": "Отзывы",
"admin_nav_errors": "Ошибки",
"admin_nav_analytics": "Аналитика",

View File

@@ -334,6 +334,7 @@ export * from './admin_nav_audio.js'
export * from './admin_nav_translation.js'
export * from './admin_nav_changelog.js'
export * from './admin_nav_image_gen.js'
export * from './admin_nav_text_gen.js'
export * from './admin_nav_feedback.js'
export * from './admin_nav_errors.js'
export * from './admin_nav_analytics.js'

View File

@@ -0,0 +1,44 @@
/* eslint-disable */
import { getLocale, experimentalStaticLocale } from '../runtime.js';
/** @typedef {import('../runtime.js').LocalizedString} LocalizedString */
/** @typedef {{}} Admin_Nav_Text_GenInputs */
const en_admin_nav_text_gen = /** @type {(inputs: Admin_Nav_Text_GenInputs) => LocalizedString} */ () => {
return /** @type {LocalizedString} */ (`Text Gen`)
};
const ru_admin_nav_text_gen = /** @type {(inputs: Admin_Nav_Text_GenInputs) => LocalizedString} */ () => {
return /** @type {LocalizedString} */ (`Text Gen`)
};
const id_admin_nav_text_gen = /** @type {(inputs: Admin_Nav_Text_GenInputs) => LocalizedString} */ () => {
return /** @type {LocalizedString} */ (`Text Gen`)
};
const pt_admin_nav_text_gen = /** @type {(inputs: Admin_Nav_Text_GenInputs) => LocalizedString} */ () => {
return /** @type {LocalizedString} */ (`Text Gen`)
};
const fr_admin_nav_text_gen = /** @type {(inputs: Admin_Nav_Text_GenInputs) => LocalizedString} */ () => {
return /** @type {LocalizedString} */ (`Text Gen`)
};
/**
* | output |
* | --- |
* | "Text Gen" |
*
* @param {Admin_Nav_Text_GenInputs} inputs
* @param {{ locale?: "en" | "ru" | "id" | "pt" | "fr" }} options
* @returns {LocalizedString}
*/
export const admin_nav_text_gen = /** @type {((inputs?: Admin_Nav_Text_GenInputs, options?: { locale?: "en" | "ru" | "id" | "pt" | "fr" }) => LocalizedString) & import('../runtime.js').MessageMetadata<Admin_Nav_Text_GenInputs, { locale?: "en" | "ru" | "id" | "pt" | "fr" }, {}>} */ ((inputs = {}, options = {}) => {
const locale = experimentalStaticLocale ?? options.locale ?? getLocale()
if (locale === "en") return en_admin_nav_text_gen(inputs)
if (locale === "ru") return ru_admin_nav_text_gen(inputs)
if (locale === "id") return id_admin_nav_text_gen(inputs)
if (locale === "pt") return pt_admin_nav_text_gen(inputs)
return fr_admin_nav_text_gen(inputs)
});

View File

@@ -192,6 +192,50 @@
return () => clearTimeout(id);
});
// ── MediaSession action handlers ────────────────────────────────────────────
// Without explicit handlers, iOS Safari loses lock-screen resume ability after
// ~1 minute of pause because it falls back to its own default which doesn't
// satisfy the user-gesture requirement for <audio>.play().
// Handlers registered here call audioEl directly so iOS trusts the gesture.
$effect(() => {
if (typeof navigator === 'undefined' || !('mediaSession' in navigator) || !audioEl) return;
const el = audioEl; // capture for closure
navigator.mediaSession.setActionHandler('play', () => {
el.play().catch(() => {});
});
navigator.mediaSession.setActionHandler('pause', () => {
el.pause();
});
navigator.mediaSession.setActionHandler('seekbackward', (d) => {
el.currentTime = Math.max(0, el.currentTime - (d.seekOffset ?? 15));
});
navigator.mediaSession.setActionHandler('seekforward', (d) => {
el.currentTime = Math.min(el.duration || 0, el.currentTime + (d.seekOffset ?? 30));
});
// previoustrack / nexttrack fall back to skip ±30s if no chapter nav available
try {
navigator.mediaSession.setActionHandler('previoustrack', () => {
el.currentTime = Math.max(0, el.currentTime - 30);
});
navigator.mediaSession.setActionHandler('nexttrack', () => {
el.currentTime = Math.min(el.duration || 0, el.currentTime + 30);
});
} catch { /* some browsers don't support these */ }
return () => {
(['play', 'pause', 'seekbackward', 'seekforward'] as MediaSessionAction[]).forEach((a) => {
try { navigator.mediaSession.setActionHandler(a, null); } catch { /* ignore */ }
});
};
});
// Keep playbackState in sync so iOS lock screen shows the right button state
$effect(() => {
if (typeof navigator === 'undefined' || !('mediaSession' in navigator)) return;
navigator.mediaSession.playbackState = audioStore.isPlaying ? 'playing' : 'paused';
});
// ── Save audio time on pause/end (debounced 2s) ─────────────────────────
let audioTimeSaveTimer = 0;
function saveAudioTime() {

View File

@@ -7,7 +7,8 @@
{ href: '/admin/audio', label: () => m.admin_nav_audio() },
{ href: '/admin/translation', label: () => m.admin_nav_translation() },
{ href: '/admin/changelog', label: () => m.admin_nav_changelog() },
{ href: '/admin/image-gen', label: () => m.admin_nav_image_gen() }
{ href: '/admin/image-gen', label: () => m.admin_nav_image_gen() },
{ href: '/admin/text-gen', label: () => m.admin_nav_text_gen() }
];
const externalLinks = [

View File

@@ -0,0 +1,27 @@
import type { PageServerLoad } from './$types';
import { backendFetch } from '$lib/server/scraper';
import { log } from '$lib/server/logger';
export interface TextModelInfo {
id: string;
label: string;
provider: string;
context_size: number;
description: string;
}
export const load: PageServerLoad = async () => {
// Parent layout already guards admin role.
try {
const res = await backendFetch('/api/admin/text-gen/models');
if (!res.ok) {
log.warn('admin/text-gen', 'failed to load models', { status: res.status });
return { models: [] as TextModelInfo[] };
}
const data = await res.json();
return { models: (data.models ?? []) as TextModelInfo[] };
} catch (e) {
log.warn('admin/text-gen', 'backend unreachable', { err: String(e) });
return { models: [] as TextModelInfo[] };
}
};

View File

@@ -0,0 +1,516 @@
<script lang="ts">
import type { PageData } from './$types';
import type { TextModelInfo } from './+page.server';
let { data }: { data: PageData } = $props();
const models = data.models as TextModelInfo[];
// ── Shared ────────────────────────────────────────────────────────────────────
type ActiveTab = 'chapters' | 'description';
let activeTab = $state<ActiveTab>('chapters');
let selectedModel = $state(models[0]?.id ?? '');
let selectedModelInfo = $derived(models.find((m) => m.id === selectedModel) ?? null);
function fmtCtx(n: number) {
if (n >= 1000) return `${(n / 1000).toFixed(0)}k ctx`;
return `${n} ctx`;
}
// ── Chapter names state ───────────────────────────────────────────────────────
let chSlug = $state('');
let chPattern = $state('Chapter {n}: {scene}');
let chGenerating = $state(false);
let chError = $state('');
interface ProposedChapter {
number: number;
old_title: string;
new_title: string;
// editable copy
edited: string;
}
let chProposals = $state<ProposedChapter[]>([]);
let chRawResponse = $state('');
let chUsedModel = $state('');
let chShowRaw = $state(false);
let chApplying = $state(false);
let chApplyError = $state('');
let chApplySuccess = $state(false);
let chCanGenerate = $derived(chSlug.trim().length > 0 && chPattern.trim().length > 0 && !chGenerating);
let chCanApply = $derived(chProposals.length > 0 && !chApplying);
async function generateChapterNames() {
if (!chCanGenerate) return;
chGenerating = true;
chError = '';
chProposals = [];
chApplySuccess = false;
chApplyError = '';
try {
const res = await fetch('/api/admin/text-gen/chapter-names', {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({
slug: chSlug.trim(),
pattern: chPattern.trim(),
model: selectedModel
})
});
const body = await res.json().catch(() => ({}));
if (!res.ok) {
chError = body.error ?? body.message ?? `Error ${res.status}`;
return;
}
chProposals = ((body.chapters ?? []) as { number: number; old_title: string; new_title: string }[]).map(
(p) => ({ ...p, edited: p.new_title })
);
chRawResponse = body.raw_response ?? '';
chUsedModel = body.model ?? '';
// If backend returned chapters:[] but we have a raw response, the model
// output was unparseable (likely truncated). Treat it as an error.
if (chProposals.length === 0 && chRawResponse.trim().length > 0) {
chError = 'Model response could not be parsed (output may be truncated). Raw response shown below.';
}
} catch {
chError = 'Network error.';
} finally {
chGenerating = false;
}
}
async function applyChapterNames() {
if (!chCanApply) return;
chApplying = true;
chApplyError = '';
chApplySuccess = false;
try {
const res = await fetch('/api/admin/text-gen/chapter-names/apply', {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({
slug: chSlug.trim(),
chapters: chProposals.map((p) => ({ number: p.number, title: p.edited.trim() || p.new_title }))
})
});
const body = await res.json().catch(() => ({}));
if (!res.ok) {
chApplyError = body.error ?? body.message ?? `Error ${res.status}`;
return;
}
chApplySuccess = true;
} catch {
chApplyError = 'Network error.';
} finally {
chApplying = false;
}
}
// ── Description state ─────────────────────────────────────────────────────────
let dSlug = $state('');
let dInstructions = $state('');
let dGenerating = $state(false);
let dError = $state('');
let dOldDesc = $state('');
let dNewDesc = $state('');
let dUsedModel = $state('');
let dApplying = $state(false);
let dApplyError = $state('');
let dApplySuccess = $state(false);
let dCanGenerate = $derived(dSlug.trim().length > 0 && !dGenerating);
let dCanApply = $derived(dNewDesc.trim().length > 0 && !dApplying);
async function generateDescription() {
if (!dCanGenerate) return;
dGenerating = true;
dError = '';
dOldDesc = '';
dNewDesc = '';
dApplySuccess = false;
dApplyError = '';
try {
const res = await fetch('/api/admin/text-gen/description', {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({
slug: dSlug.trim(),
instructions: dInstructions.trim(),
model: selectedModel
})
});
const body = await res.json().catch(() => ({}));
if (!res.ok) {
dError = body.error ?? body.message ?? `Error ${res.status}`;
return;
}
dOldDesc = body.old_description ?? '';
dNewDesc = body.new_description ?? '';
dUsedModel = body.model ?? '';
} catch {
dError = 'Network error.';
} finally {
dGenerating = false;
}
}
async function applyDescription() {
if (!dCanApply) return;
dApplying = true;
dApplyError = '';
dApplySuccess = false;
try {
const res = await fetch('/api/admin/text-gen/description/apply', {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({
slug: dSlug.trim(),
description: dNewDesc.trim()
})
});
const body = await res.json().catch(() => ({}));
if (!res.ok) {
dApplyError = body.error ?? body.message ?? `Error ${res.status}`;
return;
}
dApplySuccess = true;
} catch {
dApplyError = 'Network error.';
} finally {
dApplying = false;
}
}
</script>
<svelte:head>
<title>Text Gen — Admin</title>
</svelte:head>
<div class="space-y-6 max-w-5xl">
<!-- Header -->
<div>
<h1 class="text-2xl font-bold text-(--color-text)">Text Generation</h1>
<p class="text-(--color-muted) text-sm mt-1">
Generate chapter titles and book descriptions using Cloudflare Workers AI.
</p>
</div>
<!-- Model selector (shared) -->
<div class="space-y-1 max-w-md">
<label class="text-xs font-medium text-(--color-muted) uppercase tracking-wide" for="model-select">
Model
</label>
<select
id="model-select"
bind:value={selectedModel}
class="w-full bg-(--color-surface-2) border border-(--color-border) rounded-lg px-3 py-2 text-(--color-text) text-sm focus:outline-none focus:ring-2 focus:ring-(--color-brand)"
>
{#each models as m}
<option value={m.id}>{m.label} {m.provider} ({fmtCtx(m.context_size)})</option>
{/each}
</select>
{#if selectedModelInfo}
<p class="text-xs text-(--color-muted)">{selectedModelInfo.description}</p>
{/if}
</div>
<!-- Tab toggle -->
<div class="flex gap-1 bg-(--color-surface-2) rounded-lg p-1 w-fit border border-(--color-border)">
{#each (['chapters', 'description'] as const) as t}
<button
onclick={() => (activeTab = t)}
class="px-4 py-1.5 rounded-md text-sm font-medium transition-colors
{activeTab === t
? 'bg-(--color-surface-3) text-(--color-text)'
: 'text-(--color-muted) hover:text-(--color-text)'}"
>
{t === 'chapters' ? 'Chapter Names' : 'Description'}
</button>
{/each}
</div>
<!-- ── Chapter names panel ────────────────────────────────────────────────── -->
{#if activeTab === 'chapters'}
<div class="grid grid-cols-1 lg:grid-cols-2 gap-6 items-start">
<!-- Left: form -->
<div class="space-y-4">
<div class="space-y-1">
<label class="text-xs font-medium text-(--color-muted) uppercase tracking-wide" for="ch-slug">
Book slug
</label>
<input
id="ch-slug"
type="text"
bind:value={chSlug}
placeholder="e.g. shadow-slave"
class="w-full bg-(--color-surface-2) border border-(--color-border) rounded-lg px-3 py-2 text-(--color-text) text-sm placeholder-zinc-500 focus:outline-none focus:ring-2 focus:ring-(--color-brand)"
/>
</div>
<div class="space-y-1">
<label class="text-xs font-medium text-(--color-muted) uppercase tracking-wide" for="ch-pattern">
Naming pattern
</label>
<input
id="ch-pattern"
type="text"
bind:value={chPattern}
placeholder="e.g. Chapter [n]: [brief scene description]"
class="w-full bg-(--color-surface-2) border border-(--color-border) rounded-lg px-3 py-2 text-(--color-text) text-sm placeholder-zinc-500 focus:outline-none focus:ring-2 focus:ring-(--color-brand)"
/>
<p class="text-xs text-(--color-muted)">
Describe the desired chapter title format. The AI will rename every chapter to match.
</p>
</div>
<button
onclick={generateChapterNames}
disabled={!chCanGenerate}
class="w-full py-2.5 rounded-lg bg-(--color-brand) text-(--color-surface) font-semibold text-sm
hover:bg-(--color-brand-dim) transition-colors disabled:opacity-50 disabled:cursor-not-allowed
flex items-center justify-center gap-2"
>
{#if chGenerating}
<svg class="w-4 h-4 animate-spin" fill="none" viewBox="0 0 24 24">
<circle class="opacity-25" cx="12" cy="12" r="10" stroke="currentColor" stroke-width="4" />
<path class="opacity-75" fill="currentColor" d="M4 12a8 8 0 018-8v8H4z" />
</svg>
Generating…
{:else}
Generate proposals
{/if}
</button>
{#if chError}
<p class="text-sm text-(--color-danger) bg-(--color-danger)/10 rounded-lg px-3 py-2">{chError}</p>
{#if chRawResponse}
<pre class="text-xs bg-(--color-surface-2) border border-(--color-border) rounded-lg p-3 overflow-auto max-h-48 text-(--color-muted) whitespace-pre-wrap break-words">{chRawResponse}</pre>
{/if}
{/if}
</div>
<!-- Right: proposals -->
<div class="space-y-4">
{#if chProposals.length > 0}
<div class="space-y-2">
<div class="flex items-center justify-between">
<p class="text-xs font-semibold text-(--color-muted) uppercase tracking-widest">
{chProposals.length} proposals
{#if chUsedModel}
<span class="normal-case font-normal">· {chUsedModel.split('/').pop()}</span>
{/if}
</p>
<button
onclick={() => (chShowRaw = !chShowRaw)}
class="text-xs text-(--color-muted) hover:text-(--color-text) transition-colors"
>
{chShowRaw ? 'Hide raw' : 'Show raw'}
</button>
</div>
{#if chShowRaw}
<pre class="text-xs bg-(--color-surface-2) border border-(--color-border) rounded-lg p-3 overflow-auto max-h-40 text-(--color-muted)">{chRawResponse}</pre>
{/if}
<div class="max-h-[28rem] overflow-y-auto space-y-2 pr-1">
{#each chProposals as proposal}
<div class="bg-(--color-surface) border border-(--color-border) rounded-lg p-3 space-y-1.5">
<div class="flex items-center gap-2">
<span class="text-xs font-mono text-(--color-muted) w-8 shrink-0">#{proposal.number}</span>
<p class="text-xs text-(--color-muted) line-through truncate flex-1" title={proposal.old_title}>
{proposal.old_title}
</p>
</div>
<input
type="text"
bind:value={proposal.edited}
class="w-full bg-(--color-surface-2) border border-(--color-border) rounded-md px-2.5 py-1.5 text-(--color-text) text-sm focus:outline-none focus:ring-1 focus:ring-(--color-brand)"
/>
</div>
{/each}
</div>
<div class="flex gap-2 pt-1">
<button
onclick={applyChapterNames}
disabled={!chCanApply}
class="flex-1 py-2 rounded-lg bg-(--color-brand) text-(--color-surface) font-semibold text-sm
hover:bg-(--color-brand-dim) transition-colors disabled:opacity-50 disabled:cursor-not-allowed"
>
{chApplying ? 'Saving…' : chApplySuccess ? 'Saved ✓' : `Apply ${chProposals.length} titles`}
</button>
<button
onclick={() => { chProposals = []; chRawResponse = ''; chApplySuccess = false; }}
class="px-4 py-2 rounded-lg bg-(--color-surface-2) text-(--color-muted) text-sm
hover:text-(--color-text) transition-colors border border-(--color-border)"
>
Clear
</button>
</div>
{#if chApplyError}
<p class="text-sm text-(--color-danger) bg-(--color-danger)/10 rounded-lg px-3 py-2">{chApplyError}</p>
{/if}
{#if chApplySuccess}
<p class="text-sm text-green-400 bg-green-400/10 rounded-lg px-3 py-2">
{chProposals.length} chapter titles saved successfully.
</p>
{/if}
</div>
{:else if chGenerating}
<div class="flex items-center justify-center bg-(--color-surface) border border-(--color-border) rounded-xl h-48">
<div class="text-center space-y-3">
<svg class="w-8 h-8 animate-spin mx-auto text-(--color-brand)" fill="none" viewBox="0 0 24 24">
<circle class="opacity-25" cx="12" cy="12" r="10" stroke="currentColor" stroke-width="4" />
<path class="opacity-75" fill="currentColor" d="M4 12a8 8 0 018-8v8H4z" />
</svg>
<p class="text-sm text-(--color-muted)">Generating chapter titles…</p>
</div>
</div>
{:else}
<div class="flex items-center justify-center bg-(--color-surface) border border-(--color-border) border-dashed rounded-xl h-48">
<p class="text-sm text-(--color-muted)">Proposed titles will appear here</p>
</div>
{/if}
</div>
</div>
{/if}
<!-- ── Description panel ──────────────────────────────────────────────────── -->
{#if activeTab === 'description'}
<div class="grid grid-cols-1 lg:grid-cols-2 gap-6 items-start">
<!-- Left: form -->
<div class="space-y-4">
<div class="space-y-1">
<label class="text-xs font-medium text-(--color-muted) uppercase tracking-wide" for="d-slug">
Book slug
</label>
<input
id="d-slug"
type="text"
bind:value={dSlug}
placeholder="e.g. shadow-slave"
class="w-full bg-(--color-surface-2) border border-(--color-border) rounded-lg px-3 py-2 text-(--color-text) text-sm placeholder-zinc-500 focus:outline-none focus:ring-2 focus:ring-(--color-brand)"
/>
</div>
<div class="space-y-1">
<label class="text-xs font-medium text-(--color-muted) uppercase tracking-wide" for="d-instructions">
Instructions <span class="normal-case font-normal text-(--color-muted)">(optional)</span>
</label>
<textarea
id="d-instructions"
bind:value={dInstructions}
rows="3"
placeholder="e.g. Write a 3-sentence blurb, avoid spoilers, dramatic tone."
class="w-full bg-(--color-surface-2) border border-(--color-border) rounded-lg px-3 py-2 text-(--color-text) text-sm placeholder-zinc-500 focus:outline-none focus:ring-2 focus:ring-(--color-brand) resize-y"
></textarea>
</div>
<button
onclick={generateDescription}
disabled={!dCanGenerate}
class="w-full py-2.5 rounded-lg bg-(--color-brand) text-(--color-surface) font-semibold text-sm
hover:bg-(--color-brand-dim) transition-colors disabled:opacity-50 disabled:cursor-not-allowed
flex items-center justify-center gap-2"
>
{#if dGenerating}
<svg class="w-4 h-4 animate-spin" fill="none" viewBox="0 0 24 24">
<circle class="opacity-25" cx="12" cy="12" r="10" stroke="currentColor" stroke-width="4" />
<path class="opacity-75" fill="currentColor" d="M4 12a8 8 0 018-8v8H4z" />
</svg>
Generating…
{:else}
Generate description
{/if}
</button>
{#if dError}
<p class="text-sm text-(--color-danger) bg-(--color-danger)/10 rounded-lg px-3 py-2">{dError}</p>
{/if}
</div>
<!-- Right: result -->
<div class="space-y-4">
{#if dNewDesc || dOldDesc}
<div class="space-y-4">
{#if dOldDesc}
<div class="space-y-1">
<p class="text-xs font-semibold text-(--color-muted) uppercase tracking-widest">Current description</p>
<div class="bg-(--color-surface) border border-(--color-border) rounded-lg p-3">
<p class="text-sm text-(--color-muted) whitespace-pre-wrap">{dOldDesc}</p>
</div>
</div>
{/if}
{#if dNewDesc}
<div class="space-y-1">
<div class="flex items-center justify-between">
<p class="text-xs font-semibold text-(--color-muted) uppercase tracking-widest">
Proposed description
{#if dUsedModel}
<span class="normal-case font-normal">· {dUsedModel.split('/').pop()}</span>
{/if}
</p>
</div>
<textarea
bind:value={dNewDesc}
rows="6"
class="w-full bg-(--color-surface-2) border border-(--color-border) rounded-lg px-3 py-2 text-(--color-text) text-sm focus:outline-none focus:ring-2 focus:ring-(--color-brand) resize-y"
></textarea>
</div>
<div class="flex gap-2">
<button
onclick={applyDescription}
disabled={!dCanApply}
class="flex-1 py-2 rounded-lg bg-(--color-brand) text-(--color-surface) font-semibold text-sm
hover:bg-(--color-brand-dim) transition-colors disabled:opacity-50 disabled:cursor-not-allowed"
>
{dApplying ? 'Saving…' : dApplySuccess ? 'Saved ✓' : 'Apply description'}
</button>
<button
onclick={() => { dNewDesc = ''; dOldDesc = ''; dApplySuccess = false; }}
class="px-4 py-2 rounded-lg bg-(--color-surface-2) text-(--color-muted) text-sm
hover:text-(--color-text) transition-colors border border-(--color-border)"
>
Clear
</button>
</div>
{#if dApplyError}
<p class="text-sm text-(--color-danger) bg-(--color-danger)/10 rounded-lg px-3 py-2">{dApplyError}</p>
{/if}
{#if dApplySuccess}
<p class="text-sm text-green-400 bg-green-400/10 rounded-lg px-3 py-2">Description saved successfully.</p>
{/if}
{/if}
</div>
{:else if dGenerating}
<div class="flex items-center justify-center bg-(--color-surface) border border-(--color-border) rounded-xl h-48">
<div class="text-center space-y-3">
<svg class="w-8 h-8 animate-spin mx-auto text-(--color-brand)" fill="none" viewBox="0 0 24 24">
<circle class="opacity-25" cx="12" cy="12" r="10" stroke="currentColor" stroke-width="4" />
<path class="opacity-75" fill="currentColor" d="M4 12a8 8 0 018-8v8H4z" />
</svg>
<p class="text-sm text-(--color-muted)">Generating description…</p>
</div>
</div>
{:else}
<div class="flex items-center justify-center bg-(--color-surface) border border-(--color-border) border-dashed rounded-xl h-48">
<p class="text-sm text-(--color-muted)">Proposed description will appear here</p>
</div>
{/if}
</div>
</div>
{/if}
</div>

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@@ -0,0 +1,33 @@
/**
* POST /api/admin/text-gen/chapter-names
*
* Admin-only proxy to the Go backend's chapter-name generation endpoint.
* Returns AI-proposed chapter titles; does NOT persist anything.
*/
import { json, error } from '@sveltejs/kit';
import type { RequestHandler } from './$types';
import { log } from '$lib/server/logger';
import { backendFetch } from '$lib/server/scraper';
export const POST: RequestHandler = async ({ request, locals }) => {
if (!locals.user || locals.user.role !== 'admin') {
throw error(403, 'Forbidden');
}
const body = await request.text();
let res: Response;
try {
res = await backendFetch('/api/admin/text-gen/chapter-names', {
method: 'POST',
headers: { 'content-type': 'application/json' },
body
});
} catch (e) {
log.error('admin/text-gen/chapter-names', 'backend proxy error', { err: String(e) });
throw error(502, 'Could not reach backend');
}
const data = await res.json().catch(() => ({}));
return json(data, { status: res.status });
};

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@@ -0,0 +1,32 @@
/**
* POST /api/admin/text-gen/chapter-names/apply
*
* Admin-only proxy to persist confirmed chapter titles to PocketBase.
*/
import { json, error } from '@sveltejs/kit';
import type { RequestHandler } from './$types';
import { log } from '$lib/server/logger';
import { backendFetch } from '$lib/server/scraper';
export const POST: RequestHandler = async ({ request, locals }) => {
if (!locals.user || locals.user.role !== 'admin') {
throw error(403, 'Forbidden');
}
const body = await request.text();
let res: Response;
try {
res = await backendFetch('/api/admin/text-gen/chapter-names/apply', {
method: 'POST',
headers: { 'content-type': 'application/json' },
body
});
} catch (e) {
log.error('admin/text-gen/chapter-names/apply', 'backend proxy error', { err: String(e) });
throw error(502, 'Could not reach backend');
}
const data = await res.json().catch(() => ({}));
return json(data, { status: res.status });
};

View File

@@ -0,0 +1,33 @@
/**
* POST /api/admin/text-gen/description
*
* Admin-only proxy to the Go backend's book description generation endpoint.
* Returns an AI-proposed description; does NOT persist anything.
*/
import { json, error } from '@sveltejs/kit';
import type { RequestHandler } from './$types';
import { log } from '$lib/server/logger';
import { backendFetch } from '$lib/server/scraper';
export const POST: RequestHandler = async ({ request, locals }) => {
if (!locals.user || locals.user.role !== 'admin') {
throw error(403, 'Forbidden');
}
const body = await request.text();
let res: Response;
try {
res = await backendFetch('/api/admin/text-gen/description', {
method: 'POST',
headers: { 'content-type': 'application/json' },
body
});
} catch (e) {
log.error('admin/text-gen/description', 'backend proxy error', { err: String(e) });
throw error(502, 'Could not reach backend');
}
const data = await res.json().catch(() => ({}));
return json(data, { status: res.status });
};

View File

@@ -0,0 +1,32 @@
/**
* POST /api/admin/text-gen/description/apply
*
* Admin-only proxy to persist the confirmed book description to PocketBase.
*/
import { json, error } from '@sveltejs/kit';
import type { RequestHandler } from './$types';
import { log } from '$lib/server/logger';
import { backendFetch } from '$lib/server/scraper';
export const POST: RequestHandler = async ({ request, locals }) => {
if (!locals.user || locals.user.role !== 'admin') {
throw error(403, 'Forbidden');
}
const body = await request.text();
let res: Response;
try {
res = await backendFetch('/api/admin/text-gen/description/apply', {
method: 'POST',
headers: { 'content-type': 'application/json' },
body
});
} catch (e) {
log.error('admin/text-gen/description/apply', 'backend proxy error', { err: String(e) });
throw error(502, 'Could not reach backend');
}
const data = await res.json().catch(() => ({}));
return json(data, { status: res.status });
};

View File

@@ -0,0 +1,17 @@
import { json, error } from '@sveltejs/kit';
import type { RequestHandler } from './$types';
import { backendFetch } from '$lib/server/scraper';
export const GET: RequestHandler = async ({ locals }) => {
if (!locals.user || locals.user.role !== 'admin') {
throw error(403, 'Forbidden');
}
let res: Response;
try {
res = await backendFetch('/api/admin/text-gen/models');
} catch {
throw error(502, 'Could not reach backend');
}
const data = await res.json().catch(() => ({}));
return json(data, { status: res.status });
};