import json import logging import os import sqlite3 from datetime import datetime, timedelta, timezone from typing import Iterable, List, Optional from aw_core.dirs import get_data_dir, legacy_testing_suffix from aw_core.models import Event from .abstract import AbstractStorage logger = logging.getLogger(__name__) LATEST_VERSION = 1 # The max integer value in SQLite is signed 8 Bytes / 64 bits MAX_TIMESTAMP = 2**63 - 1 CREATE_BUCKETS_TABLE = """ CREATE TABLE IF NOT EXISTS buckets ( rowid INTEGER PRIMARY KEY AUTOINCREMENT, id TEXT UNIQUE NOT NULL, name TEXT, type TEXT NOT NULL, client TEXT NOT NULL, hostname TEXT NOT NULL, created TEXT NOT NULL, datastr TEXT NOT NULL ) """ CREATE_EVENTS_TABLE = """ CREATE TABLE IF NOT EXISTS events ( id INTEGER PRIMARY KEY AUTOINCREMENT, bucketrow INTEGER NOT NULL, starttime INTEGER NOT NULL, endtime INTEGER NOT NULL, datastr TEXT NOT NULL, FOREIGN KEY (bucketrow) REFERENCES buckets(rowid) ) """ INDEX_BUCKETS_TABLE_ID = """ CREATE INDEX IF NOT EXISTS event_index_id ON events(id); """ INDEX_EVENTS_TABLE_STARTTIME = """ CREATE INDEX IF NOT EXISTS event_index_starttime ON events(bucketrow, starttime); """ INDEX_EVENTS_TABLE_ENDTIME = """ CREATE INDEX IF NOT EXISTS event_index_endtime ON events(bucketrow, endtime); """ def _rows_to_events(rows: Iterable) -> List[Event]: events = [] for row in rows: eid = row[0] starttime = datetime.fromtimestamp(row[1] / 1000000, timezone.utc) endtime = datetime.fromtimestamp(row[2] / 1000000, timezone.utc) duration = endtime - starttime data = json.loads(row[3]) events.append(Event(id=eid, timestamp=starttime, duration=duration, data=data)) return events class SqliteStorage(AbstractStorage): sid = "sqlite" def __init__( self, testing, filepath: Optional[str] = None, enable_lazy_commit=True ) -> None: self.testing = testing self.enable_lazy_commit = enable_lazy_commit # Ignore the migration check if custom filepath is set ignore_migration_check = filepath is not None ds_name = self.sid + legacy_testing_suffix(testing) if not filepath: data_dir = get_data_dir("aw-server") filename = ds_name + f".v{LATEST_VERSION}" + ".db" filepath = os.path.join(data_dir, filename) new_db_file = not os.path.exists(filepath) self.conn = sqlite3.connect(filepath) logger.info(f"Using database file: {filepath}") # Create tables self.conn.execute(CREATE_BUCKETS_TABLE) self.conn.execute(CREATE_EVENTS_TABLE) self.conn.execute(INDEX_BUCKETS_TABLE_ID) self.conn.execute(INDEX_EVENTS_TABLE_STARTTIME) self.conn.execute(INDEX_EVENTS_TABLE_ENDTIME) self.conn.execute("PRAGMA journal_mode=WAL;") self.commit() if new_db_file and not ignore_migration_check: logger.info("Created new SQlite db file") from aw_datastore import check_for_migration # fmt: skip check_for_migration(self) self.last_commit = datetime.now() self.num_uncommitted_statements = 0 def commit(self): """ Useful for debugging and trying to lower the amount of unnecessary commits """ self.conn.commit() self.last_commit = datetime.now() self.num_uncommitted_statements = 0 def conditional_commit(self, num_statements): """ Only commit transactions if: - We have a lot of statements in our transaction - Was a while ago since last commit This is because sqlite is very slow with small inserts, this is a way to batch them together and lower CPU+disk usage """ if self.enable_lazy_commit: self.num_uncommitted_statements += num_statements if self.num_uncommitted_statements > 50: self.commit() if (self.last_commit - datetime.now()) > timedelta(seconds=10): self.commit() else: self.commit() def buckets(self): buckets = {} c = self.conn.cursor() for row in c.execute( "SELECT id, name, type, client, hostname, created, datastr FROM buckets" ): buckets[row[0]] = { "id": row[0], "name": row[1], "type": row[2], "client": row[3], "hostname": row[4], "created": row[5], "data": json.loads(row[6] or "{}"), } return buckets def create_bucket( self, bucket_id: str, type_id: str, client: str, hostname: str, created: str, name: Optional[str] = None, data: Optional[dict] = None, ): self.conn.execute( "INSERT INTO buckets(id, name, type, client, hostname, created, datastr) " + "VALUES (?, ?, ?, ?, ?, ?, ?)", [ bucket_id, name, type_id, client, hostname, created, json.dumps(data or {}), ], ) self.commit() return self.get_metadata(bucket_id) def update_bucket( self, bucket_id: str, type_id: Optional[str] = None, client: Optional[str] = None, hostname: Optional[str] = None, name: Optional[str] = None, data: Optional[dict] = None, ): update_values = [ ("type", type_id), ("client", client), ("hostname", hostname), ("name", name), ("datastr", json.dumps(data) if data is not None else None), ] updates, values = zip(*[(k, v) for k, v in update_values if v is not None]) if not updates: raise ValueError("At least one field must be updated.") sql = ( "UPDATE buckets SET " + ", ".join(f"{u} = ?" for u in updates) + " WHERE id = ?" ) self.conn.execute(sql, (*values, bucket_id)) self.commit() return self.get_metadata(bucket_id) def delete_bucket(self, bucket_id: str): self.conn.execute( "DELETE FROM events WHERE bucketrow IN (SELECT rowid FROM buckets WHERE id = ?)", [bucket_id], ) cursor = self.conn.execute("DELETE FROM buckets WHERE id = ?", [bucket_id]) self.commit() if cursor.rowcount != 1: raise ValueError("Bucket did not exist, could not delete") def get_metadata(self, bucket_id: str): c = self.conn.cursor() res = c.execute( "SELECT id, name, type, client, hostname, created, datastr FROM buckets WHERE id = ?", [bucket_id], ) row = res.fetchone() if row is not None: return { "id": row[0], "name": row[1], "type": row[2], "client": row[3], "hostname": row[4], "created": row[5], "data": json.loads(row[6] or "{}"), } else: raise ValueError("Bucket did not exist, could not get metadata") def insert_one(self, bucket_id: str, event: Event) -> Event: c = self.conn.cursor() starttime = event.timestamp.timestamp() * 1000000 endtime = starttime + (event.duration.total_seconds() * 1000000) datastr = json.dumps(event.data) c.execute( "INSERT INTO events(bucketrow, starttime, endtime, datastr) " + "VALUES ((SELECT rowid FROM buckets WHERE id = ?), ?, ?, ?)", [bucket_id, starttime, endtime, datastr], ) event.id = c.lastrowid self.conditional_commit(1) return event def insert_many(self, bucket_id, events: List[Event]) -> None: # FIXME: Is this true not only for peewee but sqlite aswell? # Chunking into lists of length 100 is needed here due to SQLITE_MAX_COMPOUND_SELECT # and SQLITE_LIMIT_VARIABLE_NUMBER under Windows. # See: https://github.com/coleifer/peewee/issues/948 # First, upsert events with id's set events_upsert = [e for e in events if e.id is not None] for e in events_upsert: self.replace(bucket_id, e.id, e) # Then insert events without id's set events_insert = [e for e in events if e.id is None] event_rows = [] for event in events_insert: starttime = event.timestamp.timestamp() * 1000000 endtime = starttime + (event.duration.total_seconds() * 1000000) datastr = json.dumps(event.data) event_rows.append((bucket_id, starttime, endtime, datastr)) query = ( "INSERT INTO events(bucketrow, starttime, endtime, datastr) " + "VALUES ((SELECT rowid FROM buckets WHERE id = ?), ?, ?, ?)" ) self.conn.executemany(query, event_rows) self.conditional_commit(len(event_rows)) def replace_last(self, bucket_id, event): starttime = event.timestamp.timestamp() * 1000000 endtime = starttime + (event.duration.total_seconds() * 1000000) datastr = json.dumps(event.data) query = """UPDATE events SET starttime = ?, endtime = ?, datastr = ? WHERE id = ( SELECT id FROM events WHERE endtime = (SELECT max(endtime) FROM events WHERE bucketrow = (SELECT rowid FROM buckets WHERE id = ?) LIMIT 1))""" self.conn.execute(query, [starttime, endtime, datastr, bucket_id]) self.conditional_commit(1) return True def delete(self, bucket_id, event_id): query = ( "DELETE FROM events " + "WHERE id = ? AND bucketrow = (SELECT b.rowid FROM buckets b WHERE b.id = ?)" ) cursor = self.conn.execute(query, [event_id, bucket_id]) return cursor.rowcount == 1 def replace(self, bucket_id, event_id, event) -> bool: starttime = event.timestamp.timestamp() * 1000000 endtime = starttime + (event.duration.total_seconds() * 1000000) datastr = json.dumps(event.data) query = """UPDATE events SET bucketrow = (SELECT rowid FROM buckets WHERE id = ?), starttime = ?, endtime = ?, datastr = ? WHERE id = ?""" self.conn.execute(query, [bucket_id, starttime, endtime, datastr, event_id]) self.conditional_commit(1) return True def get_event( self, bucket_id: str, event_id: int, ) -> Optional[Event]: self.commit() c = self.conn.cursor() query = """ SELECT id, starttime, endtime, datastr FROM events WHERE bucketrow = (SELECT rowid FROM buckets WHERE id = ?) AND id = ? LIMIT 1 """ rows = c.execute(query, [bucket_id, event_id]) events = _rows_to_events(rows) if events: return events[0] else: return None def get_events( self, bucket_id: str, limit: int, starttime: Optional[datetime] = None, endtime: Optional[datetime] = None, ): if limit == 0: return [] elif limit < 0: limit = -1 self.commit() c = self.conn.cursor() starttime_i = starttime.timestamp() * 1000000 if starttime else 0 endtime_i = endtime.timestamp() * 1000000 if endtime else MAX_TIMESTAMP query = """ SELECT id, starttime, endtime, datastr FROM events WHERE bucketrow = (SELECT rowid FROM buckets WHERE id = ?) AND endtime >= ? AND starttime <= ? ORDER BY endtime DESC LIMIT ? """ rows = c.execute(query, [bucket_id, starttime_i, endtime_i, limit]) events = _rows_to_events(rows) return events def get_eventcount( self, bucket_id: str, starttime: Optional[datetime] = None, endtime: Optional[datetime] = None, ): self.commit() c = self.conn.cursor() starttime_i = starttime.timestamp() * 1000000 if starttime else 0 endtime_i = endtime.timestamp() * 1000000 if endtime else MAX_TIMESTAMP query = ( "SELECT count(*) " + "FROM events " + "WHERE bucketrow = (SELECT rowid FROM buckets WHERE id = ?) " + "AND endtime >= ? AND starttime <= ?" ) rows = c.execute(query, [bucket_id, starttime_i, endtime_i]) row = rows.fetchone() eventcount = row[0] return eventcount