import os, subprocess, shutil, json, re, orjson, requests
from pathlib import Path
import math
import difflib
from faster_whisper import WhisperModel

MEILI_URL = os.getenv("MEILI_URL", "http://meili:7700")
MEILI_KEY = os.getenv("MEILI_KEY", "")
LIB = Path(os.getenv("LIBRARY_ROOT", "/library"))
TRN = Path(os.getenv("TRANSCRIPT_ROOT", "/transcripts"))
TMP = Path(os.getenv("TMP_ROOT", "/tmpdl"))
MODEL_NAME = os.getenv("WHISPER_MODEL","large-v3")
COMPUTE = os.getenv("WHISPER_PRECISION","int8")
WHISPER_LANGUAGE = os.getenv("WHISPER_LANGUAGE", "auto").strip()

# RSS resolver config
RSS_INDEX_PATH = Path(os.getenv("RSS_INDEX_PATH", "/transcripts/rss_index.json"))
RSS_DURATION_TOLERANCE = int(os.getenv("RSS_DURATION_TOLERANCE", "150"))  # seconds
DEFAULT_TRANSCRIPT_LANG = os.getenv("DEFAULT_TRANSCRIPT_LANG", "en").strip() or "en"

OWUI_URL = os.getenv("OPENWEBUI_URL", "").rstrip("/")
OWUI_KEY = os.getenv("OPENWEBUI_API_KEY", "")
OWUI_KB  = os.getenv("OPENWEBUI_KB_NAME", "Homelab Library")

TRN.mkdir(parents=True, exist_ok=True)
LIB.mkdir(parents=True, exist_ok=True)
TMP.mkdir(parents=True, exist_ok=True)

# Lazy Whisper model loader so the worker can start even if model download/setup is slow
_model = None

def get_model():
    global _model
    if _model is None:
        _model = WhisperModel(MODEL_NAME, compute_type=COMPUTE)
    return _model

def log(feed):
    try:
        with open(TRN / "_feed.log", "a", encoding="utf-8") as f:
            f.write(orjson.dumps(feed).decode()+"\n")
    except Exception:
        pass

def sanitize(name):
    return re.sub(r'[\\/:"*?<>|]+', ' ', name).strip()

# ---------- RSS transcript resolver ----------

def _normalize_title(t: str) -> str:
    t = (t or "").lower()
    t = re.sub(r"\s+", " ", t)
    # remove punctuation-ish
    t = re.sub(r"[^a-z0-9 _-]+", "", t)
    return t.strip()

def _stem_without_date(stem: str) -> str:
    # drop leading YYYYMMDD - from filenames created by yt-dlp template
    m = re.match(r"^\d{8}\s*-\s*(.*)$", stem)
    return m.group(1) if m else stem

def _extract_date_from_stem(stem: str) -> str | None:
    m = re.search(r"\b(\d{8})\b", stem)
    return m.group(1) if m else None

def _best_title_match(title: str, candidates: list[str]) -> tuple[str, float]:
    """Return (best_title, score 0..1) using difflib SequenceMatcher."""
    if not candidates:
        return "", 0.0
    norm_title = _normalize_title(title)
    best = ("", 0.0)
    for c in candidates:
        score = difflib.SequenceMatcher(None, norm_title, _normalize_title(c)).ratio()
        if score > best[1]:
            best = (c, score)
    return best

def _load_rss_index() -> list[dict]:
    try:
        if RSS_INDEX_PATH.exists():
            data = json.loads(RSS_INDEX_PATH.read_text(encoding="utf-8"))
            # supports {"episodes":[...]} or a flat list
            if isinstance(data, dict) and "episodes" in data:
                return data["episodes"] or []
            if isinstance(data, list):
                return data
    except Exception as e:
        print(f"[resolver] failed to load RSS index: {e}", flush=True)
    return []

def match_media_to_rss(media_path: Path) -> dict | None:
    """Try to match a local media file to an RSS episode entry."""
    episodes = _load_rss_index()
    if not episodes:
        return None

    stem = media_path.stem
    title_no_date = _stem_without_date(stem)
    file_date = _extract_date_from_stem(stem)
    # duration tolerance
    media_dur = media_duration_seconds(media_path)

    # Candidates: filter by date if present, else all
    if file_date:
        pool = [e for e in episodes if (str(e.get("date", "")) == file_date or str(e.get("pubdate", "")) == file_date)]
        if not pool:
            pool = episodes
    else:
        pool = episodes

    # Pick best by (title similarity, duration proximity)
    best_ep, best_score = None, -1.0
    for ep in pool:
        ep_title = ep.get("title") or ep.get("itunes_title") or ""
        sim = _best_title_match(title_no_date, [ep_title])[1]
        dur = float(ep.get("duration_sec") or ep.get("duration") or 0.0)
        dur_ok = True
        if media_dur and dur:
            dur_ok = abs(media_dur - dur) <= RSS_DURATION_TOLERANCE
        score = sim + (0.1 if dur_ok else 0.0)
        if score > best_score:
            best_score, best_ep = score, ep

    if best_ep and best_score >= 0.5:
        print(f"[resolver] matched '{stem}' -> '{best_ep.get('title','')}' score={best_score:.2f}", flush=True)
        return best_ep
    return None

def _choose_transcript_url(ep: dict) -> tuple[str, str] | tuple[None, None]:
    """Return (url, kind) preferring txt, vtt, then srt. 'kind' in {'txt','vtt','srt'}."""
    # unified structure from rss_ingest.py: ep["transcripts"] = [{"url":..., "type": ...}, ...]
    items = ep.get("transcripts") or []
    # some ingesters store separate keys
    if not items:
        for key, kind in [("transcript_txt","txt"), ("transcript_vtt","vtt"), ("transcript_srt","srt")]:
            if ep.get(key):
                items.append({"url": ep[key], "type": kind})
    # preference order
    for kind in ["txt", "vtt", "srt"]:
        for it in items:
            t = (it.get("type") or "").lower()
            u = it.get("url") or ""
            if u and (kind in t or (kind == "txt" and t in ["text","plain","text/plain"]) or (kind in u.lower())):
                return u, kind
    return (None, None)

def fetch_rss_transcript(ep: dict, dest_dir: Path) -> Path | None:
    """Download transcript to dest_dir and return local Path; convert VTT->SRT if needed."""
    url, kind = _choose_transcript_url(ep)
    if not url:
        return None
    dest_dir.mkdir(parents=True, exist_ok=True)
    # filename from episode title
    safe = sanitize(ep.get("title") or ep.get("guid") or "episode")
    path = dest_dir / f"{safe}.{kind if kind!='txt' else 'txt'}"
    try:
        r = requests.get(url, timeout=30)
        r.raise_for_status()
        mode = "wb" if kind in ("vtt","srt") else "w"
        if mode == "wb":
            path.write_bytes(r.content)
        else:
            path.write_text(r.text, encoding="utf-8")
        print(f"[resolver] downloaded transcript ({kind}) from {url}", flush=True)
        return path
    except Exception as e:
        print(f"[resolver] failed to fetch transcript: {e}", flush=True)
        return None

def use_rss_transcript(media_path: Path, ep: dict) -> Path | None:
    """Create standard transcript artifacts from an RSS transcript (txt/vtt/srt)."""
    # Prefer direct download; else if rss_ingest already saved a local file path, try that.
    sidecar = None
    local_hint = ep.get("transcript_local")
    if local_hint:
        p = Path(local_hint)
        if p.exists():
            sidecar = p
    if sidecar is None:
        sidecar = fetch_rss_transcript(ep, TMP)

    if not sidecar or not sidecar.exists():
        return None

    # Convert to plain text
    plain = transcript_text_from_file(sidecar)
    lang = (ep.get("language") or ep.get("lang") or DEFAULT_TRANSCRIPT_LANG).split("-")[0]
    base = write_plain_transcript(media_path, plain, language=lang)
    # Place an SRT next to video for Plex
    ensure_sidecar_next_to_media(sidecar, media_path, lang=lang)
    # Write provenance sidecar
    (base.with_suffix(".prov.json")).write_bytes(orjson.dumps({
        "source": "rss",
        "feed": ep.get("feed_url"),
        "guid": ep.get("guid"),
        "episode_title": ep.get("title"),
        "transcript_kind": sidecar.suffix.lower().lstrip("."),
        "transcript_url": _choose_transcript_url(ep)[0] or "",
    }))
    return base

def find_sidecar_transcript(media_path: Path) -> Path | None:
    """Return a .txt/.srt/.vtt transcript file sitting next to media, if any.
    Tries common variants including language-suffixed SRT/VTT.
    """
    candidates: list[Path] = []
    # exact same stem in same folder
    for ext in [".txt", ".srt", ".vtt"]:
        p = media_path.parent / (media_path.stem + ext)
        if p.exists():
            candidates.append(p)
    # language-suffixed near the media file (e.g., .en.srt)
    for ext in [".srt", ".vtt"]:
        p = media_path.with_suffix(f".en{ext}")
        if p.exists() and p not in candidates:
            candidates.append(p)
    return candidates[0] if candidates else None


# ---------- Transcript repository reuse helpers ----------

def find_repo_transcript_for_media(media_path: Path) -> Path | None:
    """Search the transcript repository (/transcripts) for an existing transcript
    that likely belongs to this media file (match by YYYYMMDD in filename and/or
    fuzzy title similarity). Returns a path to a matching .json if found."""
    try:
        stem = media_path.stem
        title_no_date = _stem_without_date(stem)
        file_date = _extract_date_from_stem(stem)
        best_json, best_score = None, 0.0
        for j in TRN.glob("*.json"):
            try:
                data = json.loads(j.read_text(encoding="utf-8"))
            except Exception:
                continue
            other_file = Path(data.get("file", ""))
            other_stem = other_file.stem if other_file else j.stem
            other_date = _extract_date_from_stem(other_stem)
            # If both have dates and they differ a lot, skip
            if file_date and other_date and file_date != other_date:
                continue
            # Compare titles (without dates)
            sim = difflib.SequenceMatcher(
                None,
                _normalize_title(title_no_date),
                _normalize_title(_stem_without_date(other_stem)),
            ).ratio()
            # Nudge score when dates match
            if file_date and other_date and file_date == other_date:
                sim += 0.1
            if sim > best_score:
                best_score, best_json = sim, j
        # Require a reasonable similarity
        return best_json if best_json and best_score >= 0.60 else None
    except Exception:
        return None


def reuse_repo_transcript(media_path: Path, repo_json: Path) -> Path | None:
    """Copy/retarget an existing transcript JSON/TXT (and make SRT/VTT if possible)
    from the repository so that it belongs to the provided media_path. Returns
    the new base path in /transcripts or None."""
    try:
        # load the source transcript
        data = json.loads(repo_json.read_text(encoding="utf-8"))
        src_base = TRN / Path(repo_json).stem
        src_txt = src_base.with_suffix(".txt")
        src_srt = src_base.with_suffix(".srt")
        src_vtt = src_base.with_suffix(".vtt")

        # write the retargeted artifacts
        new_title = media_path.stem
        new_base = TRN / new_title
        new_base.parent.mkdir(parents=True, exist_ok=True)

        # update file path
        data["file"] = str(media_path)
        (new_base.with_suffix(".json")).write_bytes(orjson.dumps(data))

        # copy or synthesize TXT
        if src_txt.exists():
            shutil.copy2(src_txt, new_base.with_suffix(".txt"))
        else:
            # fallback: concatenate segments
            txt = " ".join(s.get("text", "") for s in data.get("segments", []))
            (new_base.with_suffix(".txt")).write_text(txt, encoding="utf-8")

        # copy SRT/VTT if present; otherwise synthesize SRT from segments
        if src_srt.exists():
            shutil.copy2(src_srt, new_base.with_suffix(".srt"))
        else:
            # synthesize SRT
            def fmt_ts(t):
                h=int(t//3600); m=int((t%3600)//60); s=t-(h*3600+m*60)
                return f"{h:02}:{m:02}:{s:06.3f}".replace('.',',')
            with open(new_base.with_suffix(".srt"), "w", encoding="utf-8") as srt:
                for i, s in enumerate(data.get("segments", []), 1):
                    srt.write(f"{i}\n{fmt_ts(s.get('start',0.0))} --> {fmt_ts(s.get('end',0.0))}\n{s.get('text','').strip()}\n\n")
        if src_vtt.exists():
            shutil.copy2(src_vtt, new_base.with_suffix(".vtt"))
        else:
            # synthesize VTT from segments
            def fmt_ts_vtt(t):
                h=int(t//3600); m=int((t%3600)//60); s=t-(h*3600+m*60)
                return f"{h:02}:{m:02}:{s:06.3f}"
            with open(new_base.with_suffix(".vtt"), "w", encoding="utf-8") as vtt:
                vtt.write("WEBVTT\n\n")
                for s in data.get("segments", []):
                    vtt.write(f"{fmt_ts_vtt(s.get('start',0.0))} --> {fmt_ts_vtt(s.get('end',0.0))} \n{s.get('text','').strip()}\n\n")

        # ensure sidecar next to media
        try:
            lang = (data.get("language") or DEFAULT_TRANSCRIPT_LANG).split("-")[0]
            ensure_sidecar_next_to_media(new_base.with_suffix(".srt"), media_path, lang=lang)
        except Exception:
            pass

        return new_base
    except Exception as e:
        print(f"[resolver] failed to reuse repo transcript: {e}", flush=True)
        return None


def transcript_text_from_file(path: Path) -> str:
    """Extract plain text from .txt/.srt/.vtt by stripping timestamps and counters."""
    try:
        raw = path.read_text(encoding="utf-8", errors="ignore")
    except Exception:
        raw = path.read_text(errors="ignore")

    if path.suffix.lower() == ".txt":
        return raw.strip()

    # For SRT/VTT, drop timestamp lines, cue numbers and headers
    lines: list[str] = []
    for line in raw.splitlines():
        ls = line.strip()
        if not ls:
            continue
        if "-->" in ls:  # timestamp line
            continue
        if ls.upper().startswith("WEBVTT"):
            continue
        if re.match(r"^\d+$", ls):  # cue index
            continue
        lines.append(ls)
    return " ".join(lines)


def ensure_sidecar_next_to_media(sidecar: Path, media_path: Path, lang: str = "en") -> None:
    """Ensure an `.lang.srt` sits next to the media for Plex. Convert VTT→SRT if needed. If the sidecar is .txt, do nothing."""
    try:
        if sidecar.suffix.lower() == ".txt":
            return
        if sidecar.suffix.lower() == ".srt":
            dst = media_path.with_suffix(f".{lang}.srt")
            shutil.copy2(sidecar, dst)
        elif sidecar.suffix.lower() == ".vtt":
            tmp_srt = sidecar.with_suffix(".srt")
            subprocess.run(["ffmpeg", "-nostdin", "-y", "-i", str(sidecar), str(tmp_srt)], check=True)
            dst = media_path.with_suffix(f".{lang}.srt")
            shutil.move(str(tmp_srt), dst)
    except Exception as e:
        print(f"[post] sidecar copy/convert failed: {e}", flush=True)


def write_plain_transcript(media_path: Path, text: str, language: str = "en") -> Path:
    """Write minimal transcript artifacts (.txt + .json) from plain text (no timestamps)."""
    title = media_path.stem
    base = TRN / title
    base.parent.mkdir(parents=True, exist_ok=True)
    (base.with_suffix(".txt")).write_text(text, encoding="utf-8")
    (base.with_suffix(".json")).write_bytes(orjson.dumps({
        "file": str(media_path),
        "language": language,
        "segments": [{"start": 0.0, "end": 0.0, "text": text}]
    }))
    return base

def yt_dlp(url, outdir):
    # 1) Normalize YouTube Music URLs to standard YouTube
    yurl = url
    if 'music.youtube.com' in yurl:
        yurl = yurl.replace('music.youtube.com', 'www.youtube.com')

    outtmpl = str(outdir / "%(uploader)s/%(upload_date)s - %(title)s.%(ext)s")

    base_cmd = [
        "yt-dlp", "-o", outtmpl,
        "-f", "bv*+ba/best",
        "-x", "--audio-format", "m4a",
        "--write-thumbnail",
        "--no-playlist", "--no-warnings", "--restrict-filenames",
    ]

    # 3) Optional cookies (set YTDLP_COOKIES=/path/to/cookies.txt in .env and mount it)
    cookies_path = os.getenv("YTDLP_COOKIES", "").strip()
    if cookies_path:
        base_cmd += ["--cookies", cookies_path]

    # Primary attempt
    try:
        subprocess.check_call(base_cmd + [yurl])
    except subprocess.CalledProcessError:
        # 2) Retry with Android client + mobile UA
        retry_cmd = base_cmd + [
            "--extractor-args", "youtube:player_client=android",
            "--user-agent", "Mozilla/5.0 (Linux; Android 10; SM-G973F) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/122.0 Mobile Safari/537.36",
            yurl,
        ]
        subprocess.check_call(retry_cmd)

    media = (list(outdir.rglob("*.[mM][pP]4")) +
             list(outdir.rglob("*.mkv")) +
             list(outdir.rglob("*.m4a")) +
             list(outdir.rglob("*.mp3")))
    return sorted(media, key=lambda p: p.stat().st_mtime)[-1:]

def extract_audio(src: Path, outdir: Path) -> Path:
    """Extract mono 16kHz WAV for robust transcription (handles odd containers/codecs)."""
    outdir.mkdir(parents=True, exist_ok=True)
    wav_path = outdir / (src.stem + ".wav")
    # Force audio-only, mono, 16kHz WAV
    cmd = [
        "ffmpeg", "-nostdin", "-y",
        "-i", str(src),
        "-vn", "-ac", "1", "-ar", "16000",
        "-f", "wav", str(wav_path),
    ]
    try:
        subprocess.check_output(cmd, stderr=subprocess.STDOUT)
    except subprocess.CalledProcessError as e:
        raise RuntimeError(f"ffmpeg extract failed: {e.output.decode(errors='ignore')}")
    return wav_path

def media_duration_seconds(path: Path) -> float:
    """Return duration in seconds using ffprobe; fallback to 0.0 on error."""
    try:
        out = subprocess.check_output([
            "ffprobe", "-v", "error", "-show_entries", "format=duration",
            "-of", "default=nokey=1:noprint_wrappers=1", str(path)
        ], stderr=subprocess.STDOUT, text=True).strip()
        return float(out) if out else 0.0
    except Exception:
        return 0.0

def transcribe(media_path: Path):
    model = get_model()
    # 1) Robustly extract audio to 16k mono WAV (fixes pyAV/webm edge cases)
    wav = extract_audio(media_path, TMP)

    # 2) Language
    lang = None if WHISPER_LANGUAGE.lower() == "auto" else WHISPER_LANGUAGE

    # 3) Transcribe
    segments, info = model.transcribe(str(wav), vad_filter=True, language=lang)

    title = media_path.stem
    base = TRN / title

    # Determine duration for progress; use extracted WAV (accurate for transcription input)
    dur = media_duration_seconds(wav) or 0.0
    last_pct = -1

    segs, text_parts = [], []
    for s in segments:
        seg = {"start": s.start, "end": s.end, "text": s.text}
        segs.append(seg)
        text_parts.append(s.text)
        # progress logging every +5%
        if dur > 0 and s.end is not None:
            pct = int(min(100, max(0, (s.end / dur) * 100)))
            if pct >= last_pct + 5:
                log({
                    "status": "transcribing",
                    "path": str(media_path),
                    "title": title,
                    "progress": pct
                })
                last_pct = pct
    # ensure we mark 100% on completion
    if last_pct < 100:
        log({"status": "transcribing", "path": str(media_path), "title": title, "progress": 100})

    txt = " ".join(text_parts).strip()

    # Write transcript artifacts
    open(base.with_suffix(".json"), "wb").write(orjson.dumps({
        "file": str(media_path),
        "language": info.language,
        "segments": segs
    }))
    open(base.with_suffix(".txt"), "w", encoding="utf-8").write(txt)

    def fmt_ts(t):
        h=int(t//3600); m=int((t%3600)//60); s=t-(h*3600+m*60)
        return f"{h:02}:{m:02}:{s:06.3f}".replace('.',',')

    with open(base.with_suffix(".srt"), "w", encoding="utf-8") as srt:
        for i,s in enumerate(segs,1):
            srt.write(f"{i}\n{fmt_ts(s['start'])} --> {fmt_ts(s['end'])}\n{s['text'].strip()}\n\n")

    with open(base.with_suffix(".vtt"), "w", encoding="utf-8") as vtt:
        vtt.write("WEBVTT\n\n")
        for s in segs:
            vtt.write(f"{fmt_ts(s['start']).replace(',', '.')} --> {fmt_ts(s['end']).replace(',', '.')} \n{s['text'].strip()}\n\n")

    # 4) Copy SRT next to media for Plex (language-suffixed)
    try:
        lang_code = (info.language or (WHISPER_LANGUAGE if WHISPER_LANGUAGE.lower() != 'auto' else 'en')).lower()
        srt_src = base.with_suffix(".srt")
        srt_dst = media_path.with_suffix(f".{lang_code}.srt")
        shutil.copy2(srt_src, srt_dst)
    except Exception as e:
        print(f"[post] could not copy srt -> {srt_dst}: {e}", flush=True)

    # Optional: cleanup temporary WAV
    try:
        if wav.exists():
            wav.unlink()
    except Exception:
        pass

    return base

def index_meili(json_path: Path):
    doc = json.loads(open(json_path, "r", encoding="utf-8").read())
    title = Path(doc["file"]).stem
    date = re.findall(r"\b(\d{8})\b", title)
    payload = {
        "id": title,
        "type": "podcast",
        "title": title,
        "date": date[0] if date else "",
        "source": str(Path(LIB, Path(doc["file"]).name)),
        "text": " ".join(s["text"] for s in doc.get("segments", [])),
        "segments": doc.get("segments", []),
        "meta": {"language": doc.get("language", "")}
    }
    import time
    for attempt in range(5):
        try:
            r = requests.post(
                f"{MEILI_URL}/indexes/library/documents",
                headers={"Authorization": f"Bearer {MEILI_KEY}", "Content-Type":"application/json"},
                data=orjson.dumps(payload),
                timeout=15,
            )
            r.raise_for_status()
            break
        except Exception:
            if attempt == 4:
                raise
            time.sleep(2 * (attempt + 1))

import tldextract, trafilatura, requests as _requests

def slugify(text):
    text = re.sub(r'[^A-Za-z0-9\-._ ]+', '', text).strip().replace(' ', '_')
    return text[:120] or 'page'

def save_web_snapshot(url: str):
    r = _requests.get(url, timeout=30, headers={"User-Agent":"Mozilla/5.0"})
    r.raise_for_status()
    html = r.text
    downloaded = trafilatura.load_html(html, url=url)
    text = trafilatura.extract(downloaded, include_comments=False, include_images=False, with_metadata=True) or ""
    meta = trafilatura.metadata.extract_metadata(downloaded) or None
    title = (meta.title if meta and getattr(meta, 'title', None) else None) or (re.search(r'<title[^>]*>(.*?)</title>', html, re.I|re.S).group(1).strip() if re.search(r'<title[^>]*>(.*?)</title>', html, re.I|re.S) else url)
    date = (meta.date if meta and getattr(meta, 'date', None) else "")
    parts = tldextract.extract(url)
    domain = ".".join([p for p in [parts.domain, parts.suffix] if p])
    slug = slugify(title)
    outdir = LIB / "web" / domain
    outdir.mkdir(parents=True, exist_ok=True)
    base = outdir / slug
    open(base.with_suffix(".html"), "w", encoding="utf-8", errors="ignore").write(html)
    open(base.with_suffix(".txt"), "w", encoding="utf-8", errors="ignore").write(text)
    return base, title, domain, date, text

def index_web(base: Path, title: str, domain: str, date: str, text: str, url: str):
    payload = {
        "id": f"web:{domain}:{base.stem}",
        "type": "web",
        "title": title,
        "date": re.sub(r'[^0-9]', '', date)[:8] if date else "",
        "source": f"file://{str(base.with_suffix('.html'))}",
        "text": text,
        "segments": [],
        "meta": {"url": url, "domain": domain}
    }
    r = requests.post(f"{MEILI_URL}/indexes/library/documents",
                      headers={"Authorization": f"Bearer {MEILI_KEY}", "Content-Type":"application/json"},
                      data=orjson.dumps(payload))
    r.raise_for_status()

def is_media_url(url: str):
    lowered = url.lower()
    media_hosts = ["youtube.com","youtu.be","rumble.com","vimeo.com","soundcloud.com","spotify.com","podbean.com","buzzsprout.com"]
    return any(h in lowered for h in media_hosts)

def owui_headers():
    return {"Authorization": f"Bearer {OWUI_KEY}"} if OWUI_KEY else {}

def owui_get_or_create_kb():
    if not OWUI_URL or not OWUI_KEY:
        return None
    try:
        r = requests.get(f"{OWUI_URL}/api/v1/knowledge/list", headers=owui_headers(), timeout=15)
        r.raise_for_status()
        for kb in r.json().get("data", []):
            if kb.get("name") == OWUI_KB:
                return kb["id"]
    except Exception:
        pass
    r = requests.post(
        f"{OWUI_URL}/api/v1/knowledge/create",
        headers={**owui_headers(), "Content-Type": "application/json"},
        data=orjson.dumps({"name": OWUI_KB, "description": "All local content indexed by podx"}),
        timeout=15,
    )
    r.raise_for_status()
    return r.json()["data"]["id"]

def owui_upload_and_attach(path: Path, kb_id: str):
    with open(path, "rb") as f:
        r = requests.post(f"{OWUI_URL}/api/v1/files/", headers=owui_headers(), files={"file": (path.name, f)}, timeout=60*10)
    r.raise_for_status()
    file_id = r.json()["data"]["id"]
    r = requests.post(
        f"{OWUI_URL}/api/v1/knowledge/{kb_id}/file/add",
        headers={**owui_headers(), "Content-Type": "application/json"},
        data=orjson.dumps({"file_id": file_id}),
        timeout=60,
    )
    r.raise_for_status()
    return True

def publish_to_openwebui(paths):
    if not OWUI_URL or not OWUI_KEY:
        return
    try:
        kb_id = owui_get_or_create_kb()
        for p in paths:
            p = Path(p)
            if not p.exists():
                continue
            try:
                owui_upload_and_attach(p, kb_id)
            except Exception as e:
                log({"url": str(p), "status": "owui_error", "error": str(e)})
    except Exception as e:
        log({"status": "owui_error", "error": str(e)})

def handle_local_file(path_str: str):
    """Transcribe & index a local media file that already exists in /library.
    If a sidecar .txt/.srt/.vtt exists, use it instead of running Whisper.
    Safe to call repeatedly; it skips if transcript JSON already exists.
    """
    try:
        p = Path(path_str)
        if not p.exists():
            log({"url": path_str, "status": "error", "error": "file_not_found"})
            return

        title = p.stem
        base_json = TRN / f"{title}.json"
        if base_json.exists():
            log({"url": path_str, "status": "skip", "reason": "already_transcribed"})
            return

        info = {"url": path_str, "status": "transcribing", "title": title,
                "uploader": p.parent.name, "date": "", "path": str(p), "progress": 0}
        log(info)

        # 0) Try RSS resolver first: if episode with transcript exists, use it (skip Whisper)
        try:
            ep = match_media_to_rss(p)
        except Exception as _e:
            ep = None
        if ep:
            base = use_rss_transcript(p, ep)
            if base:
                index_meili(base.with_suffix(".json"))
                publish_to_openwebui([base.with_suffix(".txt")])
                log({**info, **{"status": "done", "note": "used_rss_transcript"}})
                return

        # 1) Prefer an existing transcript sidecar if present
        sidecar = find_sidecar_transcript(p)
        if sidecar:
            plain = transcript_text_from_file(sidecar)
            lang = os.getenv("DEFAULT_TRANSCRIPT_LANG", "en").strip() or "en"
            base = write_plain_transcript(p, plain, language=lang)
            ensure_sidecar_next_to_media(sidecar, p, lang=lang)
            index_meili(base.with_suffix(".json"))
            publish_to_openwebui([base.with_suffix(".txt")])
            log({**info, **{"status": "done", "note": "used_existing_transcript"}})
            return

        # 1.5) Reuse a transcript that exists in the repository for a matching episode
        repo_json = find_repo_transcript_for_media(p)
        if repo_json:
            base = reuse_repo_transcript(p, repo_json)
            if base:
                index_meili(base.with_suffix(".json"))
                publish_to_openwebui([base.with_suffix(".txt")])
                log({**info, **{"status": "done", "note": "reused_repo_transcript"}})
                return

        # 2) Otherwise, run transcription
        base = transcribe(p)
        index_meili(base.with_suffix(".json"))
        publish_to_openwebui([base.with_suffix(".txt")])
        log({**info, **{"status": "done"}})
    except Exception as e:
        log({"url": path_str, "status": "error", "error": str(e)})
        raise

def handle_web(url: str):
    info = {"url": url, "status":"web-downloading", "title":"", "uploader":"", "date":"", "path":""}
    log(info)
    base, title, domain, date, text = save_web_snapshot(url)
    info.update({"title": title, "uploader": domain, "date": date, "path": str(base.with_suffix('.html'))})
    log({**info, **{"status":"web-indexing"}})
    index_web(base, title, domain, date, text, url)
    push = [p for p in [base.with_suffix('.txt'), base.with_suffix('.html')] if p.exists()]
    publish_to_openwebui(push)
    log({**info, **{"status":"done"}})

def handle_url(url: str):
    try:
        # If a local file path (or file:// URL) is provided, process it directly
        if url.startswith("file://"):
            return handle_local_file(url[7:])
        if url.startswith("/") and Path(url).exists():
            return handle_local_file(url)

        if not is_media_url(url):
            handle_web(url)
            return
        info = {"url": url, "status":"queued", "title":"", "uploader":"", "date":"", "path":""}
        log({**info, **{"status":"downloading"}})
        files = yt_dlp(url, TMP)
        for f in files:
            parts = f.relative_to(TMP).parts
            uploader = sanitize(parts[0]) if len(parts)>1 else "Unknown"
            dest_dir = LIB / uploader
            dest_dir.mkdir(parents=True, exist_ok=True)
            dest = dest_dir / sanitize(f.name)
            shutil.move(str(f), dest)
            info.update({"title": dest.stem, "uploader": uploader,
                         "date": (re.findall(r"\b(\d{8})\b", dest.stem)[0] if re.findall(r"\b(\d{8})\b", dest.stem) else ""),
                         "path": str(dest)})
            log({**info, **{"status":"transcribing", "progress": 0}})
            # Try RSS transcript resolver first
            ep = None
            try:
                ep = match_media_to_rss(dest)
            except Exception:
                ep = None
            if ep:
                base = use_rss_transcript(dest, ep)
            else:
                base = None
            # 1.5) If we didn't get an RSS transcript and there is a matching one already in the repo, reuse it
            if not base:
                repo_json = find_repo_transcript_for_media(dest)
                if repo_json:
                    base = reuse_repo_transcript(dest, repo_json)
            if not base:
                base = transcribe(dest)
            index_meili(base.with_suffix(".json"))
            publish_to_openwebui([base.with_suffix(".txt")])
            log({**info, **{"status":"done"}})
    except Exception as e:
        log({"url": url, "status":"error", "error": str(e)})
        raise