scripts/extract_l1_labels.py

"""
Auto-extract L1 action labels from filenames/metadata for datasets without text.

Outputs: data/processed/{dataset}/labels.json
Format: { "motion_id": {"L1_action": "walk", "L1_style": "happy", "source_file": "..."}, ... }
"""

import sys
import os
import re
import json
from pathlib import Path
import numpy as np

project_root = Path(__file__).parent.parent
sys.path.insert(0, str(project_root))


def extract_lafan1():
    """LAFAN1: filename = {theme}{take}_{subject}.bvh → L1 = theme"""
    labels = {}
    mdir = project_root / 'data' / 'processed' / 'lafan1' / 'motions'
    for f in sorted(os.listdir(mdir)):
        d = dict(np.load(mdir / f, allow_pickle=True))
        src = str(d.get('source_file', f))
        # "aiming1_subject1.bvh" → "aiming"
        match = re.match(r'([a-zA-Z]+)\d*_', src)
        action = match.group(1).lower() if match else 'unknown'
        labels[f.replace('.npz', '')] = {
            'L1_action': action,
            'source_file': src,
        }
    return labels


def extract_100style():
    """100Style: filename = {StyleName}_{MovementType}.bvh"""
    movement_map = {
        'FW': 'walk forward', 'BW': 'walk backward',
        'FR': 'run forward', 'BR': 'run backward',
        'SW': 'sidestep walk', 'SR': 'sidestep run',
        'ID': 'idle',
        'TR1': 'transition 1', 'TR2': 'transition 2',
        'TR3': 'transition 3', 'TR4': 'transition 4',
    }
    labels = {}
    mdir = project_root / 'data' / 'processed' / '100style' / 'motions'
    for f in sorted(os.listdir(mdir)):
        d = dict(np.load(mdir / f, allow_pickle=True))
        src = str(d.get('source_file', f))
        # "Happy_FW.bvh" → style="happy", movement="walk forward"
        parts = src.replace('.bvh', '').split('_')
        style = parts[0].lower() if parts else 'unknown'
        movement_code = parts[1] if len(parts) > 1 else ''
        movement = movement_map.get(movement_code, movement_code.lower())
        action = movement.split()[0] if movement else 'unknown'  # first word
        labels[f.replace('.npz', '')] = {
            'L1_action': action,
            'L1_movement': movement,
            'L1_style': style,
            'source_file': src,
        }
    return labels


def extract_bandai_namco():
    """Bandai Namco: has JSON metadata in original repo."""
    labels = {}
    mdir = project_root / 'data' / 'processed' / 'bandai_namco' / 'motions'
    # Try to load from original JSON metadata
    bn_meta = {}
    meta_dirs = [
        project_root / 'data' / 'raw' / 'BandaiNamco' / 'dataset',
    ]
    for meta_dir in meta_dirs:
        for json_file in meta_dir.rglob('*.json'):
            try:
                with open(json_file) as jf:
                    data = json.load(jf)
                if isinstance(data, list):
                    for item in data:
                        if 'file' in item and 'content' in item:
                            bn_meta[item['file']] = item
            except Exception:
                continue

    for f in sorted(os.listdir(mdir)):
        d = dict(np.load(mdir / f, allow_pickle=True))
        src = str(d.get('source_file', f))
        # Try metadata lookup
        action = 'unknown'
        style = ''
        if src in bn_meta:
            meta = bn_meta[src]
            action = meta.get('content', 'unknown').lower()
            style = meta.get('style', '').lower()
        else:
            # Fallback: parse filename
            name = src.replace('.bvh', '').lower()
            # Common patterns: walk, run, kick, punch, etc.
            for keyword in ['walk', 'run', 'kick', 'punch', 'jump', 'dance', 'idle', 'turn',
                          'throw', 'catch', 'wave', 'bow', 'sit', 'stand', 'crouch', 'crawl']:
                if keyword in name:
                    action = keyword
                    break
        labels[f.replace('.npz', '')] = {
            'L1_action': action,
            'L1_style': style,
            'source_file': src,
        }
    return labels


def extract_cmu_mocap():
    """CMU MoCap: directory structure = subject/action."""
    labels = {}
    mdir = project_root / 'data' / 'processed' / 'cmu_mocap' / 'motions'
    for f in sorted(os.listdir(mdir)):
        d = dict(np.load(mdir / f, allow_pickle=True))
        src = str(d.get('source_file', f))
        # "01_01.bvh" → subject=01, sequence=01
        parts = src.replace('.bvh', '').split('_')
        subject = parts[0] if parts else '?'
        seq = parts[1] if len(parts) > 1 else '?'
        labels[f.replace('.npz', '')] = {
            'L1_action': 'motion',  # CMU doesn't have action labels in filenames
            'L1_subject': subject,
            'L1_sequence': seq,
            'source_file': src,
        }
    return labels


def extract_mixamo():
    """Mixamo: hash filenames → no meaningful labels from filename alone."""
    labels = {}
    mdir = project_root / 'data' / 'processed' / 'mixamo' / 'motions'

    # Try to load animation name mapping if available
    anim_map = {}
    anim_json = project_root / 'data' / 'raw' / 'Mixamo' / 'animation_frames.json'
    if anim_json.exists():
        try:
            with open(anim_json) as jf:
                data = json.load(jf)
            for name, info in data.items():
                # name is like "Aim_Pistol" with frame count as value
                anim_map[name.lower()] = name
        except Exception:
            pass

    for f in sorted(os.listdir(mdir)):
        d = dict(np.load(mdir / f, allow_pickle=True))
        src = str(d.get('source_file', f)).replace('.bvh', '').replace('.fbx', '')

        # Try to match hash to animation name
        action = 'motion'
        labels[f.replace('.npz', '')] = {
            'L1_action': action,
            'source_file': src,
        }
    return labels


def extract_truebones_zoo():
    """Truebones Zoo: already has some text; extract L1 from species + filename."""
    labels = {}
    mdir = project_root / 'data' / 'processed' / 'truebones_zoo' / 'motions'
    for f in sorted(os.listdir(mdir)):
        d = dict(np.load(mdir / f, allow_pickle=True))
        species = str(d.get('species', ''))
        src = str(d.get('source_file', f))
        texts = str(d.get('texts', ''))

        # Extract action from filename: "__Attack1.bvh" → "attack"
        name = src.replace('.bvh', '').strip('_').lower()
        action = 'motion'
        for keyword in ['attack', 'walk', 'run', 'idle', 'die', 'death', 'eat', 'bite',
                        'jump', 'fly', 'swim', 'crawl', 'sleep', 'sit', 'stand', 'turn',
                        'howl', 'bark', 'roar', 'hit', 'charge', 'gallop', 'trot', 'strike',
                        'breath', 'wing', 'tail', 'shake', 'scratch', 'pounce', 'retreat']:
            if keyword in name:
                action = keyword
                break

        labels[f.replace('.npz', '')] = {
            'L1_action': action,
            'L1_species': species,
            'L1_species_category': _species_category(species),
            'has_L2': bool(texts and texts not in ('', "b''")),
            'source_file': src,
        }
    return labels


def _species_category(species):
    """Map species to category."""
    quadrupeds = {'Dog', 'Dog-2', 'Cat', 'Horse', 'Bear', 'BrownBear', 'PolarBear', 'PolarBearB',
                  'Buffalo', 'Camel', 'Coyote', 'Deer', 'Elephant', 'Fox', 'Gazelle', 'Goat',
                  'Hamster', 'Hippopotamus', 'Hound', 'Jaguar', 'Leapord', 'Lion', 'Lynx',
                  'Mammoth', 'Monkey', 'Puppy', 'Raindeer', 'Rat', 'Rhino', 'SabreToothTiger',
                  'SandMouse', 'Skunk'}
    flying = {'Bat', 'Bird', 'Buzzard', 'Chicken', 'Crow', 'Eagle', 'Flamingo', 'Giantbee',
              'Ostrich', 'Parrot', 'Parrot2', 'Pigeon', 'Pteranodon', 'Tukan'}
    reptile = {'Alligator', 'Comodoa', 'Crocodile', 'Stego', 'Trex', 'Tricera', 'Tyranno'}
    insect = {'Ant', 'Centipede', 'Cricket', 'FireAnt', 'Isopetra', 'Roach', 'Scorpion',
              'Scorpion-2', 'Spider', 'SpiderG'}
    snake = {'Anaconda', 'KingCobra'}
    aquatic = {'Crab', 'HermitCrab', 'Jaws', 'Pirrana', 'Turtle'}
    fantasy = {'Dragon', 'Raptor', 'Raptor2', 'Raptor3'}

    if species in quadrupeds: return 'quadruped'
    if species in flying: return 'flying'
    if species in reptile: return 'reptile'
    if species in insect: return 'insect'
    if species in snake: return 'snake'
    if species in aquatic: return 'aquatic'
    if species in fantasy: return 'fantasy'
    return 'other'


def main():
    extractors = {
        'lafan1': extract_lafan1,
        '100style': extract_100style,
        'bandai_namco': extract_bandai_namco,
        'cmu_mocap': extract_cmu_mocap,
        'mixamo': extract_mixamo,
        'truebones_zoo': extract_truebones_zoo,
    }

    for ds, extractor in extractors.items():
        labels = extractor()
        out_path = project_root / 'data' / 'processed' / ds / 'labels.json'
        with open(out_path, 'w') as f:
            json.dump(labels, f, indent=2, ensure_ascii=False)

        # Stats
        actions = [v.get('L1_action', '?') for v in labels.values()]
        from collections import Counter
        top = Counter(actions).most_common(5)
        print(f'{ds:15s}: {len(labels)} labels, top actions: {top}')


if __name__ == '__main__':
    main()