"""
pipeline/processor.py
Cuts each highlight segment and converts it to 9:16 vertical MP4.
Optionally burns word-level ASS captions into the frame.
"""

import textwrap
from pathlib import Path
from typing import Callable, List, Optional

from utils import Segment, ReelOutput, log, run_cmd


# ── Crop filter builder ──────────────────────────────────────────────────────

def _build_crop_filter(src_w: int, src_h: int, out_w: int, out_h: int) -> str:
    """
    Build an FFmpeg filtergraph that centre-crops any source aspect ratio
    into out_w × out_h with no black bars and no distortion.

    Strategy:
    1. Scale so height = out_h  (width may exceed out_w)
    2. Crop the centre out_w pixels from the scaled frame
    """
    src_ratio = src_w / src_h if src_h else 1
    tgt_ratio = out_w / out_h

    if abs(src_ratio - tgt_ratio) < 0.01:
        return f"scale={out_w}:{out_h}:flags=lanczos"

    # Scale height to out_h, let width be whatever it needs to be
    scaled_w = round(src_w * out_h / src_h)
    scaled_w += scaled_w % 2     # must be even for yuv420p

    # Ensure we have at least out_w pixels to crop from
    if scaled_w < out_w:
        scaled_w = out_w

    return (
        f"scale={scaled_w}:{out_h}:flags=lanczos,"
        f"crop={out_w}:{out_h}:(in_w-{out_w})/2:0"
    )


# ── ASS caption builder ──────────────────────────────────────────────────────

def _build_ass_captions(
    words      : List[dict],
    seg_start  : float,
    seg_end    : float,
    out_w      : int,
    font_size  : int,
    font_color : str,
) -> str:
    """
    Build an ASS subtitle file string for one reel segment.
    Groups words into lines of 4, timed to AssemblyAI word timestamps.
    """
    # Filter to words inside this segment
    seg_words = [
        w for w in words
        if w["start_ms"] / 1000 >= seg_start
        and w["end_ms"]  / 1000 <= seg_end + 0.5
    ]

    color_map = {
        "white" : "&H00FFFFFF",
        "yellow": "&H0000FFFF",
        "cyan"  : "&H00FFFF00",
    }
    ass_color = color_map.get(font_color.lower(), "&H00FFFFFF")

    def _ts(ms: int) -> str:
        """Convert absolute ms timestamp → ASS time relative to segment start."""
        total_s = max(0.0, (ms - int(seg_start * 1000)) / 1000)
        h  = int(total_s // 3600)
        m  = int((total_s % 3600) // 60)
        s  = int(total_s % 60)
        cs = int((total_s * 100) % 100)
        return f"{h}:{m:02d}:{s:02d}.{cs:02d}"

    WORDS_PER_LINE = 4
    events = []
    for i in range(0, len(seg_words), WORDS_PER_LINE):
        chunk = seg_words[i : i + WORDS_PER_LINE]
        if not chunk:
            continue
        t_start = _ts(chunk[0]["start_ms"])
        t_end   = _ts(chunk[-1]["end_ms"])
        text    = " ".join(w["text"] for w in chunk)
        events.append(f"Dialogue: 0,{t_start},{t_end},Default,,0,0,0,,{text}")

    header = textwrap.dedent(f"""\
        [Script Info]
        ScriptType: v4.00+
        PlayResX: {out_w}
        WrapStyle: 0

        [V4+ Styles]
        Format: Name, Fontname, Fontsize, PrimaryColour, SecondaryColour, OutlineColour, BackColour, Bold, Italic, Underline, StrikeOut, ScaleX, ScaleY, Spacing, Angle, BorderStyle, Outline, Shadow, Alignment, MarginL, MarginR, MarginV, Encoding
        Style: Default,Arial,{font_size},{ass_color},&H000000FF,&H00000000,&H99000000,-1,0,0,0,100,100,0,0,3,0,0,2,30,30,60,1

        [Events]
        Format: Layer, Start, End, Style, Name, MarginL, MarginR, MarginV, Effect, Text
    """)
    return header + "\n".join(events) + "\n"


# ── Main cut function ────────────────────────────────────────────────────────

def cut_and_convert_segment(
    video_path        : Path,
    segment           : Segment,
    output_path       : Path,
    src_w             : int,
    src_h             : int,
    out_w             : int,
    out_h             : int,
    words             : List[dict],
    add_captions      : bool = True,
    caption_font_size : int  = 48,
    caption_color     : str  = "white",
    temp_dir          : Optional[Path] = None,
) -> Path:
    """
    Cut one segment from the source video and convert to vertical 9:16 MP4.
    Optionally burns in word-level captions.

    Returns the output Path.
    """
    if temp_dir is None:
        temp_dir = output_path.parent

    crop_filter = _build_crop_filter(src_w, src_h, out_w, out_h)
    vf_parts    = [crop_filter]

    # ── Captions ──────────────────────────────────────────────────────────────
    if add_captions and words:
        ass_content = _build_ass_captions(
            words      = words,
            seg_start  = segment.start,
            seg_end    = segment.end,
            out_w      = out_w,
            font_size  = caption_font_size,
            font_color = caption_color,
        )
        ass_path = temp_dir / f"caps_{segment.index}.ass"
        ass_path.write_text(ass_content, encoding="utf-8")
        # Escape path for FFmpeg filter syntax (colons, backslashes)
        ass_escaped = str(ass_path).replace("\\", "/").replace(":", "\\:")
        vf_parts.append(f"ass={ass_escaped}")

    vf_string = ",".join(vf_parts)

    cmd = [
        "ffmpeg", "-y",
        # Seeking BEFORE -i is fast (keyframe-level) + accurate for H.264
        "-ss", str(segment.start),
        "-to", str(segment.end),
        "-i",  str(video_path),
        "-vf", vf_string,
        "-c:v", "libx264",
        "-preset", "fast",        # good encode speed on CPU
        "-crf",    "23",          # quality/size balance
        "-profile:v", "high",
        "-level",     "4.1",
        "-pix_fmt",   "yuv420p",  # max device compatibility
        "-movflags",  "+faststart",
        "-c:a",  "aac",
        "-b:a",  "128k",
        "-ar",   "44100",
        str(output_path),
    ]

    run_cmd(cmd, f"Cutting reel #{segment.index} [{segment.start:.1f}s → {segment.end:.1f}s]")

    size_mb = output_path.stat().st_size / 1_048_576
    log("✅", f"Reel #{segment.index} → {output_path.name} ({size_mb:.1f} MB)")
    return output_path


# ── Batch processing ─────────────────────────────────────────────────────────

def process_all_segments(
    video_path        : Path,
    segments          : List[Segment],
    reels_dir         : Path,
    temp_dir          : Path,
    src_w             : int,
    src_h             : int,
    out_w             : int,
    out_h             : int,
    words             : List[dict],
    add_captions      : bool = True,
    caption_font_size : int  = 48,
    caption_color     : str  = "white",
    progress_cb       : Optional[Callable[[str, int], None]] = None,
) -> List[ReelOutput]:
    """
    Process all segments sequentially, emitting progress for each.

    Returns list of ReelOutput objects.
    """
    results: List[ReelOutput] = []
    total   = len(segments)

    for i, seg in enumerate(segments):
        if progress_cb:
            pct = int((i / total) * 100)
            progress_cb("cutting_reels", pct)

        reel_filename = f"reel_{seg.index:02d}_{int(seg.start)}s-{int(seg.end)}s.mp4"
        reel_path     = reels_dir / reel_filename

        cut_and_convert_segment(
            video_path        = video_path,
            segment           = seg,
            output_path       = reel_path,
            src_w             = src_w,
            src_h             = src_h,
            out_w             = out_w,
            out_h             = out_h,
            words             = words,
            add_captions      = add_captions,
            caption_font_size = caption_font_size,
            caption_color     = caption_color,
            temp_dir          = temp_dir,
        )

        results.append(ReelOutput(
            index     = seg.index,
            path      = reel_path,
            segment   = seg,
            file_size = reel_path.stat().st_size,
        ))

    if progress_cb:
        progress_cb("cutting_reels", 100)

    return results