def migrate_stock_data():
mj_file = join(PROCESSED_DATA_DIR, 'stock_data_master.json')
ks_file = join(PROCESSED_DATA_DIR, '20210201_partials_stock_data.json')
with open(mj_file, 'r') as mjf, open(ks_file, 'r') as ksf:
master_json = json.load(mjf)
ks_json = json.load(ksf)
symbols = set(master_json.keys()).union(set(ks_json.keys()))
session = database.create_session()
existing_rows = set([r.symbol for r in session.query(StockData).all()])
for symbol in symbols:
if symbol in existing_rows:
continue
price = deep_get(master_json, [symbol, 'PRICE'])
key_stats = deep_get(ks_json, [symbol, 'KEY_STATS'])
advanced_stats = deep_get(master_json, [symbol, 'ADVANCED_STATS'])
cash_flow = deep_get(master_json,
[symbol, 'CASH_FLOW', 'cashflow'], [])
row = compact_object({
'symbol':
symbol,
'price':
price,
'key_stats':
key_stats,
'advanced_stats':
advanced_stats,
'cash_flow':
None if len(cash_flow) == 0 else cash_flow[0]
})
session.guarded_add(StockData(**row))
session = database.recreate_session_contingent(session)
def insert_tracks(tracks):
session = database.create_session()
try:
artist_updates = {}
artist_track_updates = {}
for new_track_path, track in tracks.items():
# Create new row
track_metadata = track.get_metadata()
db_row = {
k: v
for k, v in track_metadata.items()
if k in ALL_TRACK_DB_COLS
}
db_row[TrackDBCols.FILE_PATH.value] = new_track_path
title = extract_unformatted_title(
db_row[TrackDBCols.TITLE.value])
db_row[TrackDBCols.TITLE.value] = title
try:
# Persist row to DB
session.add(Track(**db_row))
session.commit()
except Exception as e:
handle(e)
session.rollback()
continue
# Update artists
comment = load_comment(
track_metadata.get(TrackDBCols.COMMENT.value), '{}')
artist_updates_result = DataManager.update_artists(
session, comment)
artist_updates[title] = artist_updates_result
# Add artist tracks
track_id = session.query(Track).filter_by(
file_path=new_track_path).first().id
successful_artist_ids = [
a for a, s in artist_updates_result.items()
if s != DBUpdateType.FAILURE.value
]
artist_track_updates[title] = DataManager.insert_artist_tracks(
session, track_id, successful_artist_ids)
DataManager.print_database_operation_statuses(
'Artist updates', artist_updates)
DataManager.print_database_operation_statuses(
'Artist track updates', artist_track_updates)
except Exception as e:
handle(e)
session.rollback()
raise e
finally:
session.close()
def sync_fields():
session = database.create_session()
try:
tracks = session.query(Track).all()
DataManager.sync_track_fields(tracks)
session.commit()
except Exception as e:
handle(e, 'Top-level exception occurred while syncing track fields')
session.rollback()
finally:
session.close()
def __init__(self, session=None):
""" Initializes data manager and track data. """
self.tracks = DataManager.load_tracks()
self.camelot_map, self.collection_metadata = generate_camelot_map(self.tracks)
self.session = session if session is not None else database.create_session()
self.max_results = get_config_value(['HARMONIC_MIXING', 'MAX_RESULTS'])
self.cutoff_threshold_score = get_config_value(['HARMONIC_MIXING', 'SCORE_THRESHOLD'])
self.result_threshold = get_config_value(['HARMONIC_MIXING', 'RESULT_THRESHOLD'])
TransitionMatch.db_session = self.session
TransitionMatch.collection_metadata = self.collection_metadata
def ingest_tracks(input_dir, target_dir=PROCESSED_MUSIC_DIR):
""" Ingest new tracks - extract tags, format fields, and create track table entries. """
session = database.create_session()
try:
input_files = get_audio_files(input_dir)
tracks_to_save = {}
for f in input_files:
old_path = join(input_dir, f)
# Load track and read ID3 tags
try:
track = AudioFile(old_path)
except Exception as e:
handle(e, 'Couldn\'t read ID3 tags for %s' % old_path)
continue
# Verify requisite ID3 tags exist
id3_data = track.get_tags()
if not REQUIRED_ID3_TAGS.issubset(set(id3_data.keys())):
print(
'Can\'t ingest %s due to missing requisite ID3 tags' %
old_path)
continue
# Copy to target directory
new_path = join(target_dir, f)
try:
print('\nCopying:\t%s\nto:\t\t%s' % (old_path, new_path))
copyfile(old_path, new_path)
except Exception as e:
handle(e,
'Couldn\'t copy %s to target directory' % new_path)
continue
tracks_to_save[new_path] = track
# Update database
DataManager.insert_tracks(tracks_to_save)
except Exception as e:
handle(e)
finally:
session.close()
def find_artist_disparities():
session = database.create_session()
try:
for track in session.query(Track).all():
# Generate comment
track_comment = track.comment
if track_comment is None:
try:
track_model = AudioFile(track.file_path)
track_metadata = track_model.get_metadata()
track_comment = track_metadata.get(
TrackDBCols.COMMENT.value, '{}')
except Exception:
track_comment = '{}'
track_comment = load_comment(track_comment)
# Extract artist names from comment
artist_str = track_comment.get(ArtistFields.ARTISTS.value, '')
remixer_str = track_comment.get(ArtistFields.REMIXERS.value, '')
comment_artists = set([
ca for ca in [a.strip() for a in artist_str.split(',')] +
[r.strip() for r in remixer_str.split(',')] if not is_empty(ca)
])
# Get artist names in DB
artist_tracks = session.query(ArtistTrack).filter_by(
track_id=track.id).all()
artist_rows = set()
for artist_track in artist_tracks:
artist_row = session.query(Artist).filter_by(
id=artist_track.artist_id).first()
artist_rows.add(artist_row.name)
# Find diff between comment and DB entries
if len(comment_artists.difference(artist_rows)) > 0:
print('Artist disparity for track %s' % track.title)
print('Comment artist entry: %s' % str(comment_artists))
print('DB artist entries: %s' % str(artist_rows))
print('-------\n')
except Exception as e:
handle(e, 'Top-level exception occurred while syncing track fields')
session.rollback()
finally:
session.close()
def __init__(self, record_type, source_dir=UNPROCESSED_DIR):
self.record_type = record_type
self.session = database.create_session()
self.source_dir = source_dir
self.track_files = get_audio_files(source_dir)
self.cmd_overrides = {}
fv_row = {
'track_id': track_id,
'features': {
smms.feature_name: smms.preprocess(feature_value)
}
}
session.guarded_add(FeatureValue(**fv_row))
except Exception as e:
handle(e)
continue
except Exception as e:
handle(e)
session.rollback()
return
finally:
session.close()
if __name__ == '__main__':
warnings.simplefilter('ignore')
session = database.create_session()
tracks = set([t for t in session.query(Track).all()])
args = sys.argv
run(set([int(t) for t in args[1:]]) if len(args) > 1 else set())
def delete_tracks(track_ids):
session = database.create_session()
try:
# Delete entries from artist_track tables first
deletion_statuses, artist_ids_to_update = DataManager.delete_artist_tracks(
session, track_ids)
DataManager.print_database_operation_statuses(
'Artist track deletion statuses', deletion_statuses)
# Then, update artist track count column
update_statuses = DataManager.update_artist_counts(
session, artist_ids_to_update)
DataManager.print_database_operation_statuses(
'Artist track count update statuses', update_statuses)
# Then, remove references from the ingestion pipeline tables
tag_record_deletion_statuses = defaultdict(lambda: {})
for track_id in track_ids:
try:
initial_tr = session.query(InitialTagRecord).filter_by(
track_id=track_id).first()
session.delete(initial_tr)
tag_record_deletion_statuses['Initial Record'][
track_id] = DBUpdateType.DELETE.value
except Exception as e:
handle(e)
tag_record_deletion_statuses['Initial Record'][
track_id] = DBUpdateType.FAILURE.value
continue
try:
post_mik_tr = session.query(PostMIKTagRecord).filter_by(
track_id=track_id).first()
session.delete(post_mik_tr)
tag_record_deletion_statuses['Post-MIK Record'][
track_id] = DBUpdateType.DELETE.value
except Exception as e:
handle(e)
tag_record_deletion_statuses['Post-MIK Record'][
track_id] = DBUpdateType.FAILURE.value
continue
try:
post_rb_tr = session.query(
PostRekordboxTagRecord).filter_by(
track_id=track_id).first()
session.delete(post_rb_tr)
tag_record_deletion_statuses['Post-RB Record'][
track_id] = DBUpdateType.DELETE.value
except Exception as e:
handle(e)
tag_record_deletion_statuses['Post-RB Record'][
track_id] = DBUpdateType.FAILURE.value
continue
try:
final_tr = session.query(FinalTagRecord).filter_by(
track_id=track_id).first()
session.delete(final_tr)
tag_record_deletion_statuses['Final Record'][
track_id] = DBUpdateType.DELETE.value
except Exception as e:
handle(e)
tag_record_deletion_statuses['Final Record'][
track_id] = DBUpdateType.FAILURE.value
continue
DataManager.print_database_operation_statuses(
'Tag record update statuses', tag_record_deletion_statuses)
# Finally, delete the tracks themselves
track_deletion_statuses = {}
for track_id in track_ids:
try:
track = session.query(Track).filter_by(id=track_id).first()
session.delete(track)
track_deletion_statuses[
track_id] = DBUpdateType.DELETE.value
except Exception as e:
handle(e)
track_deletion_statuses[
track_id] = DBUpdateType.FAILURE.value
continue
DataManager.print_database_operation_statuses(
'Track deletion statuses', track_deletion_statuses)
print('Committing session')
session.commit()
except Exception as e:
handle(e)
print('Session not committed')
finally:
session.close()
def load_tracks():
session = database.create_session()
try:
return session.query(Track).all()
finally:
session.close()
def __init__(self):
""" Initialize the assistant. """
self.session = database.create_session()
self.transition_match_finder = TransitionMatchFinder(self.session)
