"""
Subtitle generation: sidecar files (.srt/.vtt/.txt) and burn-in MP4.

Reuses steps.s2_transcribe.transcribe and steps.s3_translate.translate as
libraries. ffmpeg burn-in goes through subprocess (matches existing s5_sync
pattern but without sharing code, since the styling needs are different).
"""
from __future__ import annotations

import subprocess
from pathlib import Path
from typing import Literal

from steps.s2_transcribe import transcribe
from steps.s3_translate import translate

Format = Literal["srt", "vtt", "txt", "mp4"]
CaptionStyle = Literal["tiktok", "youtube", "minimal"]
Position = Literal["top", "middle", "bottom"]
HAlign = Literal["left", "center", "right"]

# Bounds for user-adjustable knobs. Backend clamps to these regardless of
# what the client sends.
FONT_SIZE_MIN = 12
FONT_SIZE_MAX = 40
MARGIN_V_MIN = 0
MARGIN_V_MAX = 240

# ISO-style short codes Whisper accepts. Names map to UI dropdown labels.
_LANG_CODE = {
    "Auto-detect": "auto",
    "English": "en", "Spanish": "es", "French": "fr", "German": "de",
    "Portuguese": "pt", "Italian": "it", "Hindi": "hi", "Arabic": "ar",
    "Chinese": "zh", "Japanese": "ja", "Korean": "ko", "Russian": "ru",
}


def _is_video(path: Path) -> bool:
    return path.suffix.lower() in {".mp4", ".mov", ".webm", ".mkv", ".avi", ".m4v"}


def _extract_audio(input_path: Path, out_dir: Path) -> Path:
    """Pull a 16kHz mono WAV from the input — what whisper expects."""
    audio_path = out_dir / "audio.wav"
    cmd = [
        "ffmpeg", "-y", "-i", str(input_path),
        "-vn", "-ac", "1", "-ar", "16000",
        "-acodec", "pcm_s16le",
        str(audio_path),
    ]
    result = subprocess.run(cmd, capture_output=True, text=True, timeout=180)
    if result.returncode != 0:
        raise RuntimeError(f"ffmpeg audio extract failed: {result.stderr[-300:]}")
    return audio_path


def _resolve_lang(name: str) -> str:
    return _LANG_CODE.get(name, "auto")


# ── Caption format writers ─────────────────────────────────────────────

def _seg_text(seg: dict, prefer_translation: bool) -> str:
    if prefer_translation:
        return (seg.get("translated_text") or seg.get("text") or "").strip()
    return (seg.get("text") or "").strip()


def _format_timestamp_srt(t: float) -> str:
    h = int(t // 3600)
    m = int((t % 3600) // 60)
    s = int(t % 60)
    ms = int(round((t - int(t)) * 1000))
    return f"{h:02d}:{m:02d}:{s:02d},{ms:03d}"


def _format_timestamp_vtt(t: float) -> str:
    return _format_timestamp_srt(t).replace(",", ".")


def write_srt(segments: list[dict], dest: Path, prefer_translation: bool) -> Path:
    lines = []
    for i, seg in enumerate(segments, 1):
        text = _seg_text(seg, prefer_translation)
        if not text:
            continue
        lines.append(str(i))
        lines.append(f"{_format_timestamp_srt(seg['start'])} --> {_format_timestamp_srt(seg['end'])}")
        lines.append(text)
        lines.append("")
    dest.write_text("\n".join(lines), encoding="utf-8")
    return dest


def write_vtt(segments: list[dict], dest: Path, prefer_translation: bool) -> Path:
    lines = ["WEBVTT", ""]
    for seg in segments:
        text = _seg_text(seg, prefer_translation)
        if not text:
            continue
        lines.append(f"{_format_timestamp_vtt(seg['start'])} --> {_format_timestamp_vtt(seg['end'])}")
        lines.append(text)
        lines.append("")
    dest.write_text("\n".join(lines), encoding="utf-8")
    return dest


def write_txt(segments: list[dict], dest: Path, prefer_translation: bool) -> Path:
    text = " ".join(_seg_text(s, prefer_translation) for s in segments if _seg_text(s, prefer_translation))
    dest.write_text(text, encoding="utf-8")
    return dest


# ── Burn-in styling ────────────────────────────────────────────────────

# ASS-format alignment codes (libass), arranged as row + column:
#   row: bottom=0, middle=3, top=6
#   col: left=1,   center=2,  right=3
# So bottom-left=1, bottom-center=2, ..., top-right=9.
_POSITION_ROW = {"bottom": 0, "middle": 3, "top": 6}
_HALIGN_COL = {"left": 1, "center": 2, "right": 3}
_DEFAULT_MARGIN_V = {"bottom": 60, "middle": 0, "top": 60}

# Per-style baseline — font size, stroke/shadow choices. The user can override
# the font size via the slider; everything else stays tied to the style preset.
_STYLE_DEFAULTS: dict[CaptionStyle, dict] = {
    "tiktok":  {"font_size": 22, "bold": 1, "border_style": 1, "outline": 3, "shadow": 1},
    "youtube": {"font_size": 18, "bold": 0, "border_style": 4, "outline": 8, "shadow": 0},
    "minimal": {"font_size": 16, "bold": 0, "border_style": 1, "outline": 1, "shadow": 0},
}


def _clamp(value: int, lo: int, hi: int) -> int:
    return max(lo, min(hi, value))


def _force_style_for(
    style: CaptionStyle,
    position: Position,
    h_align: HAlign = "center",
    font_size: int | None = None,
    margin_v: int | None = None,
) -> str:
    """Return an ffmpeg `subtitles=...:force_style='...'` string.

    Args:
        style: Visual preset — sets weight, stroke, shadow defaults.
        position: top / middle / bottom row.
        h_align: left / center / right column.
        font_size: Override the style's default font size (clamped to FONT_SIZE_MIN..MAX).
        margin_v: Override vertical margin in pixels (clamped to MARGIN_V_MIN..MAX).
    """
    defaults = _STYLE_DEFAULTS[style]
    fs = _clamp(font_size if font_size is not None else defaults["font_size"],
                FONT_SIZE_MIN, FONT_SIZE_MAX)
    mv = _clamp(margin_v if margin_v is not None else _DEFAULT_MARGIN_V[position],
                MARGIN_V_MIN, MARGIN_V_MAX)
    align = _POSITION_ROW[position] + _HALIGN_COL[h_align]

    parts = [
        "FontName=Arial",
        f"FontSize={fs}",
        f"Bold={defaults['bold']}",
        "PrimaryColour=&H00FFFFFF",
    ]
    if style == "youtube":
        # White on translucent black box
        parts.append("BackColour=&HB8000000")
    elif style == "minimal":
        # Subtle semi-transparent stroke instead of hard black
        parts.append("OutlineColour=&H80000000")
    else:  # tiktok — hard black stroke
        parts.append("OutlineColour=&H00000000")
    parts += [
        f"BorderStyle={defaults['border_style']}",
        f"Outline={defaults['outline']}",
        f"Shadow={defaults['shadow']}",
        f"Alignment={align}",
        f"MarginV={mv}",
        # Symmetric horizontal margins so left/right alignment has breathing room
        "MarginL=40",
        "MarginR=40",
    ]
    return ",".join(parts)


def _burn_in(
    video_path: Path,
    srt_path: Path,
    dest: Path,
    style: CaptionStyle,
    position: Position,
    h_align: HAlign = "center",
    font_size: int | None = None,
    margin_v: int | None = None,
) -> Path:
    """Render captions into the video pixels via ffmpeg + libass."""
    force_style = _force_style_for(style, position, h_align, font_size, margin_v)
    # Escape path for ffmpeg subtitle filter (single quotes around path,
    # and we replace any existing single quotes since they'd break the filter).
    srt_str = str(srt_path).replace("'", r"\'").replace(":", r"\:")
    vf = f"subtitles='{srt_str}':force_style='{force_style}'"
    cmd = [
        "ffmpeg", "-y",
        "-i", str(video_path),
        "-vf", vf,
        "-c:a", "copy",
        "-c:v", "libx264",
        "-preset", "veryfast",
        "-crf", "22",
        str(dest),
    ]
    result = subprocess.run(cmd, capture_output=True, text=True, timeout=600)
    if result.returncode != 0:
        raise RuntimeError(f"ffmpeg burn-in failed: {result.stderr[-300:]}")
    return dest


# ── Public entry point ────────────────────────────────────────────────

def generate_subtitles(
    *,
    input_path: Path,
    out_dir: Path,
    source_lang_name: str,
    target_lang_name: str,
    fmt: Format,
    style: CaptionStyle = "tiktok",
    position: Position = "bottom",
    h_align: HAlign = "center",
    font_size: int | None = None,
    margin_v: int | None = None,
) -> dict:
    """
    Run the full subtitle pipeline. Returns:
      {
        "format": "srt" | "vtt" | "txt" | "mp4",
        "filename": <name in out_dir>,
        "segments": <int>,
        "translated": <bool>,
      }
    """
    is_burn = fmt == "mp4"
    if is_burn and not _is_video(input_path):
        raise ValueError("Burn-in requires a video file.")

    # 1. Extract audio (or use as-is)
    if _is_video(input_path):
        audio_path = _extract_audio(input_path, out_dir)
    else:
        audio_path = input_path

    # 2. Transcribe
    src_code = _resolve_lang(source_lang_name)
    segments = transcribe(str(audio_path), language=src_code)
    if not segments:
        raise RuntimeError("Transcription produced no segments.")

    # 3. Translate if requested
    translated = False
    same_as_source = (
        target_lang_name == "Same as source"
        or target_lang_name.lower() == source_lang_name.lower()
    )
    if not same_as_source:
        segments = translate(segments, target_lang_name)
        translated = True

    # 4. Emit
    if fmt == "srt":
        out = write_srt(segments, out_dir / "captions.srt", translated)
    elif fmt == "vtt":
        out = write_vtt(segments, out_dir / "captions.vtt", translated)
    elif fmt == "txt":
        out = write_txt(segments, out_dir / "transcript.txt", translated)
    else:  # mp4
        srt_path = write_srt(segments, out_dir / "captions.srt", translated)
        out = _burn_in(
            input_path, srt_path, out_dir / "captioned.mp4",
            style, position, h_align, font_size, margin_v,
        )

    return {
        "format": fmt,
        "filename": out.name,
        "segments": len(segments),
        "translated": translated,
    }