|
| 1 | +import logging |
| 2 | +from pathlib import Path |
| 3 | + |
| 4 | +from django.contrib.auth.models import User |
| 5 | +from django.contrib.gis.geos import Point |
| 6 | +from django.core.files import File |
| 7 | +from django.core.management.base import BaseCommand |
| 8 | +from django.utils import timezone |
| 9 | + |
| 10 | +from bats_ai.core.models import Recording |
| 11 | +from bats_ai.core.utils.guano_utils import extract_guano_metadata |
| 12 | +from bats_ai.tasks.tasks import recording_compute_spectrogram |
| 13 | + |
| 14 | +logger = logging.getLogger(__name__) |
| 15 | + |
| 16 | + |
| 17 | +class Command(BaseCommand): |
| 18 | + help = 'Import WAV files from a directory, extract GUANO metadata, and create recordings' |
| 19 | + |
| 20 | + def add_arguments(self, parser): |
| 21 | + parser.add_argument( |
| 22 | + 'directory', |
| 23 | + type=str, |
| 24 | + help='Directory path containing WAV files to import', |
| 25 | + ) |
| 26 | + parser.add_argument( |
| 27 | + '--owner', |
| 28 | + type=str, |
| 29 | + help='Username of the owner for the recordings (defaults to first superuser)', |
| 30 | + ) |
| 31 | + parser.add_argument( |
| 32 | + '--public', |
| 33 | + action='store_true', |
| 34 | + help='Make imported recordings public', |
| 35 | + ) |
| 36 | + parser.add_argument( |
| 37 | + '--limit', |
| 38 | + type=int, |
| 39 | + help='Limit the number of WAV files to import (useful for testing)', |
| 40 | + ) |
| 41 | + |
| 42 | + def handle(self, *args, **options): |
| 43 | + directory_path = Path(options['directory']) |
| 44 | + owner_username = options.get('owner') |
| 45 | + is_public = options.get('public', False) |
| 46 | + limit = options.get('limit') |
| 47 | + |
| 48 | + # Validate directory |
| 49 | + if not directory_path.exists(): |
| 50 | + self.stdout.write(self.style.ERROR(f'Directory does not exist: {directory_path}')) |
| 51 | + return |
| 52 | + |
| 53 | + if not directory_path.is_dir(): |
| 54 | + self.stdout.write(self.style.ERROR(f'Path is not a directory: {directory_path}')) |
| 55 | + return |
| 56 | + |
| 57 | + # Get or find owner |
| 58 | + if owner_username: |
| 59 | + try: |
| 60 | + owner = User.objects.get(username=owner_username) |
| 61 | + except User.DoesNotExist: |
| 62 | + self.stdout.write(self.style.ERROR(f'User not found: {owner_username}')) |
| 63 | + return |
| 64 | + else: |
| 65 | + # Default to first superuser |
| 66 | + owner = User.objects.filter(is_superuser=True).first() |
| 67 | + if not owner: |
| 68 | + self.stdout.write( |
| 69 | + self.style.ERROR( |
| 70 | + 'No superuser found. Please specify --owner or create a superuser.' |
| 71 | + ) |
| 72 | + ) |
| 73 | + return |
| 74 | + self.stdout.write(self.style.WARNING(f'Using default owner: {owner.username}')) |
| 75 | + |
| 76 | + # Find all WAV files |
| 77 | + wav_files = list(directory_path.rglob('*.wav')) |
| 78 | + wav_files.extend(directory_path.rglob('*.WAV')) |
| 79 | + |
| 80 | + if not wav_files: |
| 81 | + self.stdout.write( |
| 82 | + self.style.WARNING(f'No WAV files found in directory: {directory_path}') |
| 83 | + ) |
| 84 | + return |
| 85 | + |
| 86 | + # Apply limit if specified |
| 87 | + total_files = len(wav_files) |
| 88 | + if limit and limit > 0: |
| 89 | + wav_files = wav_files[:limit] |
| 90 | + self.stdout.write( |
| 91 | + self.style.SUCCESS( |
| 92 | + f'Found {total_files} WAV file(s), importing first {len(wav_files)}' |
| 93 | + ) |
| 94 | + ) |
| 95 | + else: |
| 96 | + self.stdout.write(self.style.SUCCESS(f'Found {len(wav_files)} WAV file(s) to import')) |
| 97 | + |
| 98 | + # Process each file |
| 99 | + successful = 0 |
| 100 | + failed = 0 |
| 101 | + |
| 102 | + for idx, wav_file in enumerate(wav_files, 1): |
| 103 | + self.stdout.write(f'\n[{idx}/{len(wav_files)}] Processing: {wav_file.name}') |
| 104 | + |
| 105 | + try: |
| 106 | + # Extract GUANO metadata |
| 107 | + self.stdout.write(' Extracting GUANO metadata...') |
| 108 | + metadata = extract_guano_metadata(wav_file, check_filename=True) |
| 109 | + |
| 110 | + # Extract date and time from metadata or file modification time |
| 111 | + recorded_date = None |
| 112 | + recorded_time = None |
| 113 | + |
| 114 | + if metadata.get('nabat_activation_start_time'): |
| 115 | + dt = metadata['nabat_activation_start_time'] |
| 116 | + recorded_date = dt.date() |
| 117 | + recorded_time = dt.time() |
| 118 | + else: |
| 119 | + # Use file modification time as fallback |
| 120 | + mtime = timezone.datetime.fromtimestamp( |
| 121 | + wav_file.stat().st_mtime, tz=timezone.get_current_timezone() |
| 122 | + ) |
| 123 | + recorded_date = mtime.date() |
| 124 | + recorded_time = mtime.time() |
| 125 | + self.stdout.write( |
| 126 | + self.style.WARNING( |
| 127 | + ' No activation start time in metadata, using file modification time' |
| 128 | + ) |
| 129 | + ) |
| 130 | + |
| 131 | + # Create Point from latitude/longitude if available |
| 132 | + point = None |
| 133 | + if metadata.get('nabat_latitude') and metadata.get('nabat_longitude'): |
| 134 | + point = Point(metadata['nabat_longitude'], metadata['nabat_latitude']) |
| 135 | + |
| 136 | + # Get grid cell ID |
| 137 | + grts_cell_id = None |
| 138 | + if metadata.get('nabat_grid_cell_grts_id'): |
| 139 | + try: |
| 140 | + grts_cell_id = int(metadata['nabat_grid_cell_grts_id']) |
| 141 | + except (ValueError, TypeError): |
| 142 | + pass |
| 143 | + |
| 144 | + # Convert species list to string if present |
| 145 | + species_list_str = None |
| 146 | + if metadata.get('nabat_species_list'): |
| 147 | + species_list_str = ','.join(metadata['nabat_species_list']) |
| 148 | + |
| 149 | + # Create recording |
| 150 | + self.stdout.write(' Creating recording...') |
| 151 | + with open(wav_file, 'rb') as f: |
| 152 | + recording = Recording( |
| 153 | + name=wav_file.name, |
| 154 | + owner=owner, |
| 155 | + audio_file=File(f, name=wav_file.name), |
| 156 | + recorded_date=recorded_date, |
| 157 | + recorded_time=recorded_time, |
| 158 | + equipment=None, # Not in GUANO metadata |
| 159 | + grts_cell_id=grts_cell_id, |
| 160 | + recording_location=point, |
| 161 | + public=is_public, |
| 162 | + comments=metadata.get('nabat_comments'), |
| 163 | + detector=metadata.get('nabat_detector_type'), |
| 164 | + software=metadata.get('nabat_software_type'), |
| 165 | + site_name=metadata.get('nabat_site_name'), |
| 166 | + species_list=species_list_str, |
| 167 | + unusual_occurrences=metadata.get('nabat_unusual_occurrences'), |
| 168 | + ) |
| 169 | + recording.save() |
| 170 | + |
| 171 | + self.stdout.write(self.style.SUCCESS(f' Created recording ID: {recording.pk}')) |
| 172 | + |
| 173 | + # Generate spectrogram synchronously |
| 174 | + self.stdout.write(' Generating spectrogram...') |
| 175 | + try: |
| 176 | + result = recording_compute_spectrogram(recording.pk) |
| 177 | + self.stdout.write( |
| 178 | + self.style.SUCCESS( |
| 179 | + f' Spectrogram generated (ID: {result.get("spectrogram_id")})' |
| 180 | + ) |
| 181 | + ) |
| 182 | + except Exception as e: |
| 183 | + self.stdout.write( |
| 184 | + self.style.ERROR(f' Failed to generate spectrogram: {str(e)}') |
| 185 | + ) |
| 186 | + logger.exception('Error generating spectrogram', exc_info=e) |
| 187 | + |
| 188 | + successful += 1 |
| 189 | + self.stdout.write(self.style.SUCCESS(f' ✓ Successfully imported: {wav_file.name}')) |
| 190 | + |
| 191 | + except Exception as e: |
| 192 | + failed += 1 |
| 193 | + self.stdout.write( |
| 194 | + self.style.ERROR(f' ✗ Failed to import {wav_file.name}: {str(e)}') |
| 195 | + ) |
| 196 | + logger.exception('Error importing file', exc_info=e) |
| 197 | + |
| 198 | + # Summary |
| 199 | + self.stdout.write('\n' + '=' * 60) |
| 200 | + self.stdout.write( |
| 201 | + self.style.SUCCESS(f'Import complete: {successful} successful, {failed} failed') |
| 202 | + ) |
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