sebastjan/reels-app
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OpenClaw Agent 48bf0cf050 UI: Nextcloud gumb \u2014 optimistic feedback. Takoj ob kliku gumb postane oran\u017een "\u23f3 Po\u0161iljam...", disabled, cursor:wait. Po uspe\u0161nem upload-u refreshJobs() zamenja v zelen \u2713 Nextcloud. Pri napaki vrne original state. 2026-05-03 12:27:24 +02:00
OpenClaw Agent 6a9e20da19 Nextcloud upload: mapping Qnet station -> NC folder. Qnet baza ima FOLX SLO/ONE/ZWEI, Nextcloud pa FOLX SLOVENIJA/ONE DE/ZWEI MUSIC \u2014 STATION_TO_NEXTCLOUD_FOLDER dict normalizira pri uploadu. Re\u0161i HTTP 404 NotFound za FOLX SLO jobe (106 jobov). 2026-05-03 12:24:35 +02:00
OpenClaw Agent a960b7157f UI: dashboard prikazuje Artist - Title (parsed_artist + parsed_title) namesto YT URL. Fallback chain: parsed -> youtube_title -> youtube_url -> filename -> id. Ker commit 968eba7 \u017ee shrani vse YT metapodatke in Qnet match na single video submit, dashboard zdaj prikazuje \u010cisti Artist - Title za vse jobe. 2026-05-03 11:50:45 +02:00
OpenClaw Agent 968eba7205 YT metadata fetch: razširi --info-only output (id, uploader, description, upload_date, view_count, tags, ...). Single video submit fetcha metadata + Qnet match takoj (kot playlist). Worker preskoči info fetch če metadata že obstaja, sicer shrani vsa polja in naredi Qnet match. 
- yt_download.py: get_info() probaj najprej yt.biba.live API /download/info (residential IP, sveži cookies), fallback na lokalni yt-dlp. --info-only output razširjen na 17 polj.
- main.py submit_youtube single video: fetcha metadata (yt_get_info) ob submit, shrani youtube_title/uploader/id/description/duration/thumbnail/upload_date in naredi Qnet match (parity s playlist branch).
- main.py worker: skip info fetch če youtube_title in youtube_uploader že obstajata. Sicer shrani VSE polja + Qnet match + parser fallback.
 2026-05-02 15:54:28 +00:00
OpenClaw Agent bc73fd8dd3 Reels-app: integracija z yt.biba.live API. get_cookies_file fetcha sve\u017ee cookies iz /cookies/raw (5 min cache), get_playlist najprej probava /download/playlist API, fallback na lokalni yt-dlp. ENV: YT_API_URL, YT_API_TOKEN. 2026-05-02 13:17:30 +00:00
OpenClaw Agent 77075795ce YouTube playlist support: /api/youtube/playlist-preview za pred-confirm, /api/youtube zaznava 'list=' URL in kreira batch (1 job/video). Qnet auto-match na YT naslovu, Confirm dialog v UI z prvih 5 naslovov. 2026-05-02 12:34:27 +00:00
OpenClaw Agent 7a7d7ea20d Preview cache-busting: Cache-Control: no-cache na endpoint + ?v=Date.now() v frontend URL — browser ne sme cachat starega output-a po recutu 2026-05-02 12:24:19 +00:00
OpenClaw Agent c1e00b7b73 Final SAR=1 fix: dodaj setsar=1 na konec vfilter-ja v reframe.py + ass filtrom v subtitle.py (kompenzira rounding errore iz scale/crop filtrov, ki dajo SAR 10240:10239 namesto 1:1) 2026-05-02 12:12:38 +00:00
OpenClaw Agent 6279b0ec03 subtitle.py: dodaj -pix_fmt yuv420p v burn-in encode (subtitle re-encode je perpetuiral broadcast yuv422p iz prej\u0161nje stopnje) 2026-05-02 12:05:47 +00:00
OpenClaw Agent 46ec0cec9c Anamorphic source fix: pred-scale na square pixel (PAL DV 720x576 SAR 64:45 \u2192 1024x576) preden track/center/blur filter dela. Brez tega so se reels iz starih MPG-2 (npr. Global Kryner Like a Virgin) razteg-nili horizontalno. 2026-05-02 11:57:09 +00:00
OpenClaw Agent 0fe1a47295 Fix output pixel format: -pix_fmt yuv420p + setsar=1 v vseh ffmpeg ukazih (broadcast .MPG iz Qnet je yuv422p z anamorphic SAR 64:45 \u2192 popa\u010den DAR 4:5 namesto 9:16, ne kompatibilen z Instagram/FB/mobile playerji) 2026-05-02 11:42:08 +00:00
OpenClaw Agent 6270c92b44 STT routing: FOLX DE / ZWEI \u2192 Scribe default (4\u00d7 hitrej\u0161e + brez Mississippi/Mrs. Sadie halucinacij). SLO postaje ostanejo na Soniox. User lahko override v UI. 2026-05-02 11:17:51 +00:00
OpenClaw Agent 1f8565413a Qnet match VEDNO shranjen v job.qnet_match (audit + tv_station auto-fill), tudi ko client po\u0161lje artist+title 2026-05-02 10:57:09 +00:00
OpenClaw Agent 24e1b53aa8 Qnet match v upload queue — auto-prepoznavanje pesmi takoj ko izbere\u0161 fajle (parallel POST /api/qnet/match-batch). \u010ce baza prepozna komad, prikaz Artist \u2014 Title z station badge namesto 'Brez razvidnega imena'. 2026-05-02 10:47:51 +00:00
OpenClaw Agent b938d1e4d8 Qnet song match — fetcha Songs.txt iz 5 MB playerjev (FOLX DE/SLO, ZWEI, ONE, ADRIA), 20K+ songs, fuzzy match na upload-u → clean parsed_artist/parsed_title + auto tv_station. /api/qnet/{stats,match,sync} 2026-05-02 10:42:35 +00:00
OpenClaw Agent 6f79aaea8d Iskalnik v 'moji reels' (artist+title+filename, debounced 150ms) 2026-05-02 10:02:21 +00:00
OpenClaw Agent 0ca33be6ac Fix: clip_range source dynamic from LLM result instead of hardcoded 'claude' 
Diagnoza:
- analyze.py je zgodovinsko imel samo Claude support
- ko se je dodal Gemini, je clip_range.source ostal hardcoded 'claude'
- prav tako log 'Whisper segmenti zamenjani s Claude' in 'Generated SRT from Claude'
- API rezultat je v jobu kazal source='claude' tudi ko je dejansko bil uporabljen Gemini
- to je samo COSMETIC bug — funkcionalno je vse delovalo pravilno
- Gemini se DEJANSKO klical (potrjeno: '🤖 Gemini (gemini-3.1-pro-preview) izbral: 172.5-201.8s')
  in vrnil pravilen rezultat — samo logging je rekel napačno

Popravki:
1. clip_range['source'] = claude_result['source'] (dejansko 'gemini:...' ali 'claude:...')
2. clip_range['reason'] prefix iz hardcoded 'claude_llm:' v dinamičen '{source}:'
3. Log 'Whisper segmenti zamenjani s Claude' → 'z {llm_label}'
4. Log 'Claude je popravil jezik' → 'LLM je popravil'
5. main.py 'Generated SRT from Claude' → 'from {llm_src}'

Test (Zlati Muzikanti - Le prijatelja bodiva, valček, 246s):
✓ Gemini dejansko izbere refren (172.5-201.8s)
✓ Whisper detektira sl (p=0.97 across 3 samples)
✓ Vseh 18 segmentov popravljenih
✓ Pipeline end-to-end deluje

Backward compat:
- transcript['claude_corrected'] in srt_from_claude variable name ohranjena
  ker že obstajajo v starih job state fajlih
 2026-04-29 09:49:58 +00:00
OpenClaw Agent e350352883 Fix: Gemini 3.1 Pro thinking model needs 32k maxOutputTokens (was 4096 → MAX_TOKENS truncation) 
Diagnoza:
- Gemini 3.x Pro je thinking model (ima internal reasoning, thoughtsTokenCount)
- Pri velikih transkriptih (60+ segmentov pesmi):
  * thoughts ~ 1500-3000 tokens
  * output JSON s corrected_segments ~ 3000-7000 tokens
  * total ~ 4500-10000 tokens
- Z maxOutputTokens=4096 je bil response prekinjen (finishReason: MAX_TOKENS),
  JSON odrezan na pol, _parse_llm_response je threw json.JSONDecodeError
- Rezultat: 'Gemini vrnil prazen string' v logih

Popravki:
1. Gemini maxOutputTokens 4096 → 32768 (dovolj za thinking + dolg JSON)
2. Diagnostika finishReason==MAX_TOKENS in usage tokens v logih
3. Detekcija praznega text-a (ne samo praznega parts array-a)
4. Claude max_tokens 4096 → 8192 (rezerva za dolge pesmi)
5. Claude detekcija stop_reason==max_tokens

Test (60 segmentov, 5631 char prompt):
- 4096 → finishReason=MAX_TOKENS, thoughts=2594, output=1488, JSON odrezan ❌
- 16384 → finishReason=STOP, thoughts=1445, output=3040, JSON popoln ✅
- 32768 → varen default ✅
 2026-04-29 09:03:53 +00:00