Compare commits
5 Commits
| Author | SHA1 | Date | |
|---|---|---|---|
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bdbe48ce1a | ||
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87c541b178 | ||
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0b82d96798 | ||
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a2dd0681d2 | ||
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ad50bd21ea |
14
.githooks/pre-commit
Executable file
14
.githooks/pre-commit
Executable file
@@ -0,0 +1,14 @@
|
||||
#!/usr/bin/env bash
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# Auto-recompile paraglide messages when ui/messages/*.json files are staged.
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||||
# Prevents svelte-check / CI failures caused by stale generated JS files.
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||||
|
||||
set -euo pipefail
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||||
|
||||
STAGED=$(git diff --cached --name-only)
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||||
|
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if echo "$STAGED" | grep -q '^ui/messages/'; then
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||||
echo "[pre-commit] ui/messages/*.json changed — recompiling paraglide..."
|
||||
(cd ui && npm run paraglide --silent)
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git add -f ui/src/lib/paraglide/messages/
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echo "[pre-commit] paraglide output re-staged."
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||||
fi
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@@ -133,6 +133,15 @@ func run() error {
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log.Info("CFAI_ACCOUNT_ID/CFAI_API_TOKEN not set — image generation unavailable")
|
||||
}
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||||
|
||||
// ── 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")
|
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} else {
|
||||
log.Info("CFAI_ACCOUNT_ID/CFAI_API_TOKEN not set — text generation unavailable")
|
||||
}
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||||
|
||||
// ── Meilisearch (search reads only; indexing is the runner's job) ────────
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||||
var searchIndex meili.Client
|
||||
if cfg.Meilisearch.URL != "" {
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||||
@@ -184,6 +193,8 @@ func run() error {
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PocketTTS: pocketTTSClient,
|
||||
CFAI: cfaiClient,
|
||||
ImageGen: imageGenClient,
|
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TextGen: textGenClient,
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BookWriter: store,
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Log: log,
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},
|
||||
)
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||||
424
backend/internal/backend/handlers_textgen.go
Normal file
424
backend/internal/backend/handlers_textgen.go
Normal file
@@ -0,0 +1,424 @@
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package backend
|
||||
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||||
import (
|
||||
"encoding/json"
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||||
"fmt"
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||||
"net/http"
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"strings"
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||||
|
||||
"github.com/libnovel/backend/internal/cfai"
|
||||
"github.com/libnovel/backend/internal/domain"
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||||
)
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|
||||
// handleAdminTextGenModels handles GET /api/admin/text-gen/models.
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// Returns the list of supported Cloudflare AI text generation models.
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func (s *Server) handleAdminTextGenModels(w http.ResponseWriter, r *http.Request) {
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if s.deps.TextGen == nil {
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jsonError(w, http.StatusServiceUnavailable, "text generation not configured (CFAI_ACCOUNT_ID/CFAI_API_TOKEN missing)")
|
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return
|
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}
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models := s.deps.TextGen.Models()
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writeJSON(w, 0, map[string]any{"models": models})
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}
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||||
|
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// ── Chapter names ─────────────────────────────────────────────────────────────
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// textGenChapterNamesRequest is the JSON body for POST /api/admin/text-gen/chapter-names.
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type textGenChapterNamesRequest struct {
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// Slug is the book slug whose chapters to process.
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Slug string `json:"slug"`
|
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// Pattern is a free-text description of the desired naming convention,
|
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// e.g. "Chapter {n}: {brief scene description}".
|
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Pattern string `json:"pattern"`
|
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// Model is the CF Workers AI model ID. Defaults to the recommended model when empty.
|
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Model string `json:"model"`
|
||||
// MaxTokens limits response length (0 = model default).
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MaxTokens int `json:"max_tokens"`
|
||||
}
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||||
|
||||
// textGenChapterNamesResponse is the JSON body returned by POST /api/admin/text-gen/chapter-names.
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type textGenChapterNamesResponse struct {
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// Chapters is the list of proposed chapter titles, indexed by chapter number.
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Chapters []proposedChapterTitle `json:"chapters"`
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// Model is the model that was used.
|
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Model string `json:"model"`
|
||||
// RawResponse is the raw model output for debugging / manual editing.
|
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RawResponse string `json:"raw_response"`
|
||||
}
|
||||
|
||||
// proposedChapterTitle is a single chapter with its AI-proposed title.
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type proposedChapterTitle struct {
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||||
Number int `json:"number"`
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||||
// 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) == "" {
|
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jsonError(w, http.StatusBadRequest, "pattern is required")
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||||
return
|
||||
}
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||||
|
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// Load existing chapter list.
|
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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 (2–5 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 2–4 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})
|
||||
}
|
||||
@@ -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)
|
||||
|
||||
|
||||
239
backend/internal/cfai/text.go
Normal file
239
backend/internal/cfai/text.go
Normal file
@@ -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()
|
||||
}
|
||||
@@ -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) ────────────────
|
||||
|
||||
7
justfile
7
justfile
@@ -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
|
||||
|
||||
@@ -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",
|
||||
|
||||
@@ -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",
|
||||
|
||||
@@ -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",
|
||||
|
||||
@@ -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",
|
||||
|
||||
@@ -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",
|
||||
|
||||
@@ -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'
|
||||
|
||||
44
ui/src/lib/paraglide/messages/admin_nav_text_gen.js
Normal file
44
ui/src/lib/paraglide/messages/admin_nav_text_gen.js
Normal 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)
|
||||
});
|
||||
@@ -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
|
||||
$effect(() => {
|
||||
if (typeof navigator === 'undefined' || !('mediaSession' in navigator)) return;
|
||||
navigator.mediaSession.playbackState = audioStore.isPlaying ? 'playing' : 'paused';
|
||||
});
|
||||
|
||||
// ── Save audio time on pause/end (debounced 2s) ─────────────────────────
|
||||
let audioTimeSaveTimer = 0;
|
||||
function saveAudioTime() {
|
||||
|
||||
@@ -7,7 +7,8 @@
|
||||
{ href: '/admin/audio', label: () => m.admin_nav_audio() },
|
||||
{ href: '/admin/translation', label: () => m.admin_nav_translation() },
|
||||
{ href: '/admin/changelog', label: () => m.admin_nav_changelog() },
|
||||
{ href: '/admin/image-gen', label: () => m.admin_nav_image_gen() }
|
||||
{ href: '/admin/image-gen', label: () => m.admin_nav_image_gen() },
|
||||
{ href: '/admin/text-gen', label: () => m.admin_nav_text_gen() }
|
||||
];
|
||||
|
||||
const externalLinks = [
|
||||
|
||||
27
ui/src/routes/admin/text-gen/+page.server.ts
Normal file
27
ui/src/routes/admin/text-gen/+page.server.ts
Normal file
@@ -0,0 +1,27 @@
|
||||
import type { PageServerLoad } from './$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[] };
|
||||
}
|
||||
};
|
||||
516
ui/src/routes/admin/text-gen/+page.svelte
Normal file
516
ui/src/routes/admin/text-gen/+page.svelte
Normal 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>
|
||||
33
ui/src/routes/api/admin/text-gen/chapter-names/+server.ts
Normal file
33
ui/src/routes/api/admin/text-gen/chapter-names/+server.ts
Normal file
@@ -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 });
|
||||
};
|
||||
@@ -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 '$lib/server/scraper';
|
||||
|
||||
export const POST: RequestHandler = async ({ request, locals }) => {
|
||||
if (!locals.user || locals.user.role !== 'admin') {
|
||||
throw error(403, 'Forbidden');
|
||||
}
|
||||
|
||||
const body = await request.text();
|
||||
let res: Response;
|
||||
try {
|
||||
res = await backendFetch('/api/admin/text-gen/chapter-names/apply', {
|
||||
method: 'POST',
|
||||
headers: { 'content-type': 'application/json' },
|
||||
body
|
||||
});
|
||||
} catch (e) {
|
||||
log.error('admin/text-gen/chapter-names/apply', 'backend proxy error', { err: String(e) });
|
||||
throw error(502, 'Could not reach backend');
|
||||
}
|
||||
|
||||
const data = await res.json().catch(() => ({}));
|
||||
return json(data, { status: res.status });
|
||||
};
|
||||
33
ui/src/routes/api/admin/text-gen/description/+server.ts
Normal file
33
ui/src/routes/api/admin/text-gen/description/+server.ts
Normal file
@@ -0,0 +1,33 @@
|
||||
/**
|
||||
* POST /api/admin/text-gen/description
|
||||
*
|
||||
* Admin-only proxy to the Go backend's book description generation endpoint.
|
||||
* Returns an AI-proposed description; does NOT persist anything.
|
||||
*/
|
||||
|
||||
import { json, error } from '@sveltejs/kit';
|
||||
import type { RequestHandler } from './$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 });
|
||||
};
|
||||
@@ -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 '$lib/server/scraper';
|
||||
|
||||
export const POST: RequestHandler = async ({ request, locals }) => {
|
||||
if (!locals.user || locals.user.role !== 'admin') {
|
||||
throw error(403, 'Forbidden');
|
||||
}
|
||||
|
||||
const body = await request.text();
|
||||
let res: Response;
|
||||
try {
|
||||
res = await backendFetch('/api/admin/text-gen/description/apply', {
|
||||
method: 'POST',
|
||||
headers: { 'content-type': 'application/json' },
|
||||
body
|
||||
});
|
||||
} catch (e) {
|
||||
log.error('admin/text-gen/description/apply', 'backend proxy error', { err: String(e) });
|
||||
throw error(502, 'Could not reach backend');
|
||||
}
|
||||
|
||||
const data = await res.json().catch(() => ({}));
|
||||
return json(data, { status: res.status });
|
||||
};
|
||||
17
ui/src/routes/api/admin/text-gen/models/+server.ts
Normal file
17
ui/src/routes/api/admin/text-gen/models/+server.ts
Normal file
@@ -0,0 +1,17 @@
|
||||
import { json, error } from '@sveltejs/kit';
|
||||
import type { RequestHandler } from './$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 });
|
||||
};
|
||||
Reference in New Issue
Block a user