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#!/usr/bin/env python3
"""Generate C1 (concat) and C2 (crossfade) MixSet from ACE-Step + MTG."""
import json, os, random, subprocess, time
from pathlib import Path

ACESTEP_DIR = Path("/ssd_data/dataset/haim_dataset/fake/acestep/samples")
MTG_DIR = Path("/ssd_data/dataset/haim_dataset/real/MTG")
C1_DIR = Path("/ssd_data/dataset/haim_dataset/C_mixing/C1_mixset_concat")
C2_DIR = Path("/ssd_data/dataset/haim_dataset/C_mixing/C2_mixset_crossfade")
TARGET = 6000

def get_duration(path):
    r = subprocess.run(['ffprobe','-v','quiet','-show_entries','format=duration',
                       '-of','csv=p=0', str(path)], capture_output=True, text=True, timeout=5)
    return float(r.stdout.strip()) if r.stdout.strip() else 0

def get_segment(path, start, duration, out_path):
    """Extract segment from audio file."""
    subprocess.run([
        'ffmpeg','-y','-i',str(path),'-ss',str(start),'-t',str(duration),
        '-ar','44100','-ac','2','-ab','192k', str(out_path)
    ], capture_output=True, timeout=60)

def concat_with_gap(seg1, seg2, gap, out_path):
    """Concatenate two segments with silent gap."""
    subprocess.run([
        'ffmpeg','-y','-i',str(seg1),'-i',str(seg2),
        '-filter_complex',
        f'[0:a]apad=pad_dur={gap}[a0];[a0][1:a]concat=n=2:v=0:a=1[out]',
        '-map','[out]','-ar','44100','-ac','2','-ab','192k', str(out_path)
    ], capture_output=True, timeout=60)

def crossfade_mix(seg1, seg2, xfade_dur, out_path):
    """Crossfade two segments."""
    subprocess.run([
        'ffmpeg','-y','-i',str(seg1),'-i',str(seg2),
        '-filter_complex',
        f'[0:a][1:a]acrossfade=d={xfade_dur}:c1=tri:c2=tri[out]',
        '-map','[out]','-ar','44100','-ac','2','-ab','192k', str(out_path)
    ], capture_output=True, timeout=60)

def main():
    random.seed(42)

    ai_files = sorted(ACESTEP_DIR.glob("*.mp3"))
    human_files = sorted(MTG_DIR.glob("*.mp3"))
    print(f"AI: {len(ai_files)}, Human: {len(human_files)}")

    C1_DIR.mkdir(parents=True, exist_ok=True)
    C2_DIR.mkdir(parents=True, exist_ok=True)

    # Shuffle and pair
    ai_pool = list(ai_files)
    human_pool = list(human_files)
    random.shuffle(ai_pool)
    random.shuffle(human_pool)

    tmp_dir = Path("/tmp/mixset_tmp")
    tmp_dir.mkdir(exist_ok=True)

    for i in range(TARGET):
        c1_mp3 = C1_DIR / f"C1_{i:05d}.mp3"
        c2_mp3 = C2_DIR / f"C2_{i:05d}.mp3"

        if c1_mp3.exists() and c2_mp3.exists():
            continue

        ai_src = ai_pool[i % len(ai_pool)]
        human_src = human_pool[i % len(human_pool)]

        try:
            ai_dur = get_duration(ai_src)
            human_dur = get_duration(human_src)

            if ai_dur < 20 or human_dur < 20:
                continue

            # Random segment lengths (15-60s)
            ai_seg_len = min(random.uniform(15, 60), ai_dur - 1)
            human_seg_len = min(random.uniform(15, 60), human_dur - 1)

            ai_start = random.uniform(0, max(0, ai_dur - ai_seg_len))
            human_start = random.uniform(0, max(0, human_dur - human_seg_len))

            # Extract segments
            seg_ai = tmp_dir / f"ai_{i}.mp3"
            seg_human = tmp_dir / f"human_{i}.mp3"
            get_segment(ai_src, ai_start, ai_seg_len, seg_ai)
            get_segment(human_src, human_start, human_seg_len, seg_human)

            if not seg_ai.exists() or not seg_human.exists():
                continue

            # Randomize order (AI first or Human first)
            ai_first = random.choice([True, False])
            seg1 = seg_ai if ai_first else seg_human
            seg2 = seg_human if ai_first else seg_ai

            order = "ai_first" if ai_first else "human_first"

            # C1: Concat with gap
            gap = round(random.uniform(0.1, 0.5), 2)
            if not c1_mp3.exists():
                concat_with_gap(seg1, seg2, gap, c1_mp3)

                seg1_dur = get_duration(seg1)
                boundary = round(seg1_dur + gap, 3)

                meta_c1 = {
                    "track_id": f"C1_{i:05d}",
                    "filename": c1_mp3.name,
                    "method": "concat",
                    "order": order,
                    "gap_sec": gap,
                    "segment_1": {
                        "source": ai_src.name if ai_first else human_src.name,
                        "type": "ai" if ai_first else "human",
                        "start": round(ai_start if ai_first else human_start, 2),
                        "duration": round(ai_seg_len if ai_first else human_seg_len, 2),
                    },
                    "segment_2": {
                        "source": human_src.name if ai_first else ai_src.name,
                        "type": "human" if ai_first else "ai",
                        "start": round(human_start if ai_first else ai_start, 2),
                        "duration": round(human_seg_len if ai_first else ai_seg_len, 2),
                    },
                    "boundary_sec": boundary,
                }
                with open(C1_DIR / f"C1_{i:05d}.json", "w", encoding="utf-8") as f:
                    json.dump(meta_c1, f, ensure_ascii=False, indent=2)

            # C2: Crossfade
            xfade = round(random.uniform(1, 5), 2)
            if not c2_mp3.exists():
                crossfade_mix(seg1, seg2, xfade, c2_mp3)

                seg1_dur = get_duration(seg1)
                boundary_start = round(seg1_dur - xfade, 3)
                boundary_end = round(seg1_dur, 3)

                meta_c2 = {
                    "track_id": f"C2_{i:05d}",
                    "filename": c2_mp3.name,
                    "method": "crossfade",
                    "order": order,
                    "crossfade_sec": xfade,
                    "segment_1": {
                        "source": ai_src.name if ai_first else human_src.name,
                        "type": "ai" if ai_first else "human",
                        "start": round(ai_start if ai_first else human_start, 2),
                        "duration": round(ai_seg_len if ai_first else human_seg_len, 2),
                    },
                    "segment_2": {
                        "source": human_src.name if ai_first else ai_src.name,
                        "type": "human" if ai_first else "ai",
                        "start": round(human_start if ai_first else ai_start, 2),
                        "duration": round(human_seg_len if ai_first else ai_seg_len, 2),
                    },
                    "boundary_start_sec": boundary_start,
                    "boundary_end_sec": boundary_end,
                }
                with open(C2_DIR / f"C2_{i:05d}.json", "w", encoding="utf-8") as f:
                    json.dump(meta_c2, f, ensure_ascii=False, indent=2)

            # Cleanup tmp
            seg_ai.unlink(missing_ok=True)
            seg_human.unlink(missing_ok=True)

            if (i + 1) % 100 == 0:
                c1_count = len(list(C1_DIR.glob("*.mp3")))
                c2_count = len(list(C2_DIR.glob("*.mp3")))
                print(f"[{i+1}/{TARGET}] C1={c1_count} C2={c2_count}")

        except Exception as e:
            print(f"[{i}] Error: {e}")
            continue

    c1_final = len(list(C1_DIR.glob("*.mp3")))
    c2_final = len(list(C2_DIR.glob("*.mp3")))
    print(f"Done: C1={c1_final}, C2={c2_final}")

if __name__ == "__main__":
    main()