Files
spotify-to-tidal/src/spotify_to_tidal/database.py
Tim Rae 311822ecdc Add cache of match failures
This change introduces an sqlite database that contains the track_id,
db insertion time, and ttl in the cache. The ttl starts with one week,
and increases exponentially by a factor of 2 each time the same track_id
is added to the database.

This significantly reduces the execution of the time script when there
are a lot of match failures accumulating, which do not need to check
every time.
2024-05-22 14:54:17 +02:00

64 lines
2.9 KiB
Python

import datetime
import sqlalchemy
from sqlalchemy import Table, Column, String, DateTime, MetaData, insert, select, update, delete
class Database:
def __init__(self, filename='.cache.db'):
self.engine = sqlalchemy.create_engine(f"sqlite:///{filename}")
meta = MetaData()
self.match_failures = Table('match_failures', meta,
Column('track_id', String,
primary_key=True),
Column('insert_time', DateTime),
Column('next_retry', DateTime),
sqlite_autoincrement=False)
meta.create_all(self.engine)
def _get_next_retry_time(self, insert_time=None):
if insert_time:
# double interval on each retry
interval = 2 * (datetime.datetime.now() - insert_time)
else:
interval = datetime.timedelta(days=7)
return datetime.datetime.now() + interval
def cache_match_failure(self, track_id):
""" notifies that matching failed for the given track_id """
fetch_statement = select(self.match_failures).where(
self.match_failures.c.track_id == track_id)
with self.engine.connect() as connection:
with connection.begin():
# Either update the next_retry time if track_id already exists, otherwise create a new entry
existing_failure = connection.execute(
fetch_statement).fetchone()
if existing_failure:
update_statement = update(self.match_failures).where(
self.match_failures.c.track_id == track_id).values(next_retry=self._get_next_retry_time())
connection.execute(update_statement)
else:
connection.execute(insert(self.match_failures), {
"track_id": track_id, "insert_time": datetime.datetime.now(), "next_retry": self._get_next_retry_time()})
def has_match_failure(self, track_id):
""" checks if there was a recent search for which matching failed with the given track_id """
statement = select(self.match_failures.c.next_retry).where(
self.match_failures.c.track_id == track_id)
with self.engine.connect() as connection:
match_failure = connection.execute(statement).fetchone()
if match_failure:
return match_failure.next_retry > datetime.datetime.now()
return False
def remove_match_failure(self, track_id):
""" removes match failure from the database """
statement = delete(self.match_failures).where(
self.match_failures.c.track_id == track_id)
with self.engine.connect() as connection:
with connection.begin():
connection.execute(statement)
# Main singleton instance
failure_cache = Database()