From 22ef13a451efcb2741654b442692252d1fdf6872 Mon Sep 17 00:00:00 2001 From: Rob Knop Date: Wed, 20 Nov 2024 10:29:53 -0800 Subject: [PATCH 1/9] Replace db/models/Createable.bulk_insert_onlynew with bulk_insert_or_upsert. Refactor alert cycle tests to use fewer servers started in docker compse (instead start background processes in fixtures) and so you can rerun tests within the same docker session. --- fastdb_get_alerts/load_ppdb_from_alerts.py | 694 +----------------- tests/alertcyclefixtures.py | 242 ++++-- tests/apiclassifier.py | 4 +- tests/conftest.py | 15 + tests/docker-compose.yaml | 184 ++--- tests/fakebroker.py | 146 ++-- tests/read_kafka_stream.py | 2 +- tests/test_elasticc2_alertcycle.py | 9 +- tests/test_fastdb_dev_alertcycle.py | 2 +- tests/{msgconsumer.py => testmsgconsumer.py} | 74 +- .../management/commands/_consumekafkamsgs.py | 13 +- tom_desc/db/models.py | 38 +- .../management/commands/brokerpoll2.py | 2 +- .../management/commands/load_snana_fits.py | 8 +- .../commands/send_elasticc2_alerts.py | 2 +- tom_desc/elasticc2/models.py | 2 +- tom_desc/elasticc2/views.py | 2 +- .../commands/fastdb_dev_brokerpoll.py | 2 +- tom_desc/tests/README.md | 3 + 19 files changed, 469 insertions(+), 975 deletions(-) rename tests/{msgconsumer.py => testmsgconsumer.py} (74%) create mode 100644 tom_desc/tests/README.md diff --git a/fastdb_get_alerts/load_ppdb_from_alerts.py b/fastdb_get_alerts/load_ppdb_from_alerts.py index 4a83a39f..a11418e7 100644 --- a/fastdb_get_alerts/load_ppdb_from_alerts.py +++ b/fastdb_get_alerts/load_ppdb_from_alerts.py @@ -1,693 +1 @@ -import sys -import pathlib -import logging -import fastavro -import json -import multiprocessing -import signal -import time -import confluent_kafka -import io -import os -import re -import traceback -import datetime -import collections -import atexit -from optparse import OptionParser -from psycopg2.extras import execute_values -from psycopg2 import sql -import psycopg2 - -_rundir = pathlib.Path(__file__).parent -print(_rundir) - -_logger = logging.getLogger(__name__) -if not _logger.hasHandlers(): - _logout = logging.FileHandler( _rundir / f"logs/alerts.log" ) - _logger.addHandler( _logout ) - _formatter = logging.Formatter( f'[msgconsumer - %(asctime)s - %(levelname)s] - %(message)s', datefmt='%Y-%m-%d %H:%M:%S' ) - _logout.setFormatter( _formatter ) -_logger.setLevel( logging.DEBUG ) - -def _donothing( *args, **kwargs ): - pass - -def close_msg_consumer( obj ): - obj.close() - -class MsgConsumer(object): - def __init__( self, server, groupid, schema, topics=None, extraconsumerconfig=None,consume_nmsgs=10, consume_timeout=5, nomsg_sleeptime=1, logger=_logger ): - """Wraps a confluent_kafka.Consumer. - - server : the bootstrap.servers value - groupid : the group.id value - schema : filename where the schema of messages to be consumed can be found - topics : topic name, or list of topic names, to subscribe to - extraconsumerconfig : (optional) additional consumer config (dict) - consume_nmsgs : number of messages to pull from the server at once (default 10) - consume_timeout : timeout after waiting on the server for this many seconds - nomsg_sleeptime : sleep for this many seconds after a consume_timeout before trying again - logger : a logging object - - """ - - self.consumer = None - self.logger = logger - self.tot_handled = 0 - - self.schema = fastavro.schema.load_schema( schema ) - self.consume_nmsgs = consume_nmsgs - self.consume_timeout = consume_timeout - self.nomsg_sleeptime = nomsg_sleeptime - - consumerconfig = { "bootstrap.servers": server, - "auto.offset.reset": "earliest", - "group.id": groupid, - } - - if extraconsumerconfig is not None: - consumerconfig.update( extraconsumerconfig ) - - self.logger.debug( f'Initializing Kafka consumer with\n{json.dumps(consumerconfig, indent=4)}' ) - self.consumer = confluent_kafka.Consumer( consumerconfig ) - atexit.register( close_msg_consumer, self ) - - self.subscribed = False - self.subscribe( topics ) - - def close( self ): - if self.consumer is not None: - self.logger.info( "Closing MsgConsumer" ) - self.consumer.close() - self.consumer = None - - def subscribe( self, topics ): - if topics is None: - self.topics = [] - elif isinstance( topics, str ): - self.topics = [ topics ] - elif isinstance( topics, collections.abc.Sequence ): - self.topics = list( topics ) - else: - raise ValueError( f'topics must be either a string or a list' ) - - servertopics = self.get_topics() - subtopics = [] - for topic in self.topics: - if topic not in servertopics: - self.logger.warning( f'Topic {topic} not on server, not subscribing' ) - else: - subtopics.append( topic ) - self.topics = subtopics - - #for topic in self.topics: - # st = [i for i in servertopics if topic in i] - # if len(st) !=0: - # for t in st: - # subtopics.append(t) - # else: - # self.logger.warning( f'Topic {topic} not on server, not subscribing' ) - #self.topics = subtopics - - if self.topics is not None and len(self.topics) > 0: - self.logger.info( f'Subscribing to topics: {", ".join( self.topics )}' ) - self.consumer.subscribe( self.topics, on_assign=self._sub_callback ) - else: - self.logger.warning( f'No existing topics given, not subscribing.' ) - - def get_topics( self ): - cluster_meta = self.consumer.list_topics() - return [ n for n in cluster_meta.topics ] - - def print_topics( self, newlines=False ): - topics = self.get_topics() - if not newlines: - self.logger.info( f"\nTopics: {', '.join(topics)}" ) - else: - topicstr = '\n '.join( topics ) - self.logger.info( f"\nTopics:\n {topicstr}" ) - - def _get_positions( self, partitions ): - return self.consumer.position( partitions ) - - def _dump_assignments( self, ofp, partitions ): - ofp.write( f'{"Topic":<32s} {"partition":>9s} {"offset":>12s}\n' ) - for par in partitions: - ofp.write( f"{par.topic:32s} {par.partition:9d} {par.offset:12d}\n" ) - ofp.write( "\n" ) - - def print_assignments( self ): - asmgt = self._get_positions( self.consumer.assignment() ) - ofp = io.StringIO() - ofp.write( "Current partition assignments\n" ) - self._dump_assignments( ofp, asmgt ) - self.logger.info( ofp.getvalue() ) - ofp.close() - - def _sub_callback( self, consumer, partitions ): - self.subscribed = True - ofp = io.StringIO() - ofp.write( "Consumer subscribed. Assigned partitions:\n" ) - self._dump_assignments( ofp, self._get_positions( partitions ) ) - self.logger.info( ofp.getvalue() ) - ofp.close() - - def reset_to_start( self, topic ): - partitions = self.consumer.list_topics( topic ).topics[topic].partitions - self.logger.info( f'Resetting partitions for topic {topic}' ) - # partitions is a map - partlist = [] - # Must consume one message to really hook up to the topic - self.consume_one_message( handler=_donothing, timeout=10 ) - for i in range(len(partitions)): - self.logger.info( f'...resetting partition {i}' ) - curpart = confluent_kafka.TopicPartition( topic, i ) - lowmark, highmark = self.consumer.get_watermark_offsets( curpart ) - self.logger.debug( f'Partition {curpart.topic} has id {curpart.partition} ' - f'and current offset {curpart.offset}; lowmark={lowmark} ' - f'and highmark={highmark}' ) - curpart.offset = lowmark - if lowmark < highmark: - self.consumer.seek( curpart ) - partlist.append( curpart ) - self.logger.info( f'Committing partition offsets.' ) - self.consumer.commit( offsets=partlist ) - self.tot_handled = 0 - - def consume_one_message( self, timeout=None, handler=None ): - """Both calls handler and returns a batch of 1 message.""" - timeout = self.consume_timeout if timeout is None else timeout - self.logger.info( f"Trying to consume one message with timeout {timeout}...\n" ) - msgs = self.consumer.consume( 1, timeout=timeout ) - if len(msgs) == 0: - return None - else: - self.tot_handled += len(msgs) - if handler is not None: - handler( msgs ) - else: - self.default_handle_message_batch( msgs ) - - def default_handle_message_batch( self, msgs ): - self.logger.info( f'Got {len(msgs)}; have received {self._tot_handled} so far.' ) - - def echoing_handle_message_batch( self, msgs ): - self.logger.info( f'Handling {len(msgs)} messages' ) - for msg in msgs: - ofp = io.StringIO( f"Topic: {msg.topic()} ; Partition: {msg.partition()} ; " - f"Offset: {msg.offset()} ; Key: {msg.key()}\n" ) - alert = fastavro.schemaless_reader( io.BytesIO(msg.value()), self.schema ) - ofp.write( json.dumps( alert, indent=4, sort_keys=True ) ) - ofp.write( "\n" ) - self.logger.info( ofp.getvalue() ) - ofp.close() - self.logger.info( f'Have handled {self.tot_handled} messages so far' ) - - def poll_loop( self, handler=None, max_consumed=None, pipe=None, max_runtime=datetime.timedelta(hours=1) ): - """Calls handler with batches of messages. - - handler : a callback that's called with batches of messages (the list - returned by confluent_kafka.Consumer.consume(). - max_consumed : Quit polling after this many messages have been - consumed (default: no limit) - pipe : A pipe to send regular heartbeats to, and to listen for "die" messages from. - max_runtime : Quit polling after this much time has elapsed; - must be a datetime.timedelta object. (Default: 1h.) - - returns True if consumed ?max_consumed or timed out, False if died due to die command - """ - nconsumed = 0 - starttime = datetime.datetime.now() - keepgoing = True - retval = True - while keepgoing: - self.logger.debug( f"Trying to consume {self.consume_nmsgs} messages " - f"with timeout {self.consume_timeout}..." ) - msgs = self.consumer.consume( self.consume_nmsgs, timeout=self.consume_timeout ) - if len(msgs) == 0: - self.logger.debug( f"No messages, sleeping {self.nomsg_sleeptime} sec" ) - time.sleep( self.nomsg_sleeptime ) - else: - self.logger.debug( f"...got {len(msgs)} messages" ) - self.tot_handled += len(msgs) - if handler is not None: - handler( msgs ) - else: - self.default_handle_message_batch( msgs ) - nconsumed += len( msgs ) - runtime = datetime.datetime.now() - starttime - if ( ( ( max_consumed is not None ) and ( nconsumed >= max_consumed ) ) - or - ( ( max_runtime is not None ) and ( runtime > max_runtime ) ) ): - keepgoing = False - if pipe is not None: - pipe.send( { "message": "ok", "nconsumed": nconsumed, "runtime": runtime } ) - if pipe.poll(): - msg = pipe.recv() - if ( 'command' in msg ) and ( msg['command'] == 'die' ): - self.logger.info( "Exiting poll loop due to die command." ) - retval = False - keepgoing = False - else: - self.logger.error( f"Received unknown message from pipe, ignoring: {msg}" ) - - self.logger.info( f"Stopping poll loop after consuming {nconsumed} messages during {runtime}" ) - return retval - - -class BrokerConsumer: - def __init__( self, server, groupid, topics=None, updatetopics=False, - schemaless=True, reset=False, extraconfig={}, - schemafile=None, pipe=None, loggername="BROKER", **kwargs ): - - self.logger = logging.getLogger( loggername ) - self.logger.propagate = False - logout = logging.FileHandler( _rundir / f"logs/alerts.log" ) - self.logger.addHandler( logout ) - formatter = logging.Formatter( f'[%(asctime)s - {loggername} - %(levelname)s] - %(message)s', - datefmt='%Y-%m-%d %H:%M:%S' ) - logout.setFormatter( formatter ) - self.logger.setLevel( logging.DEBUG ) - - if schemafile is None: - schemafile = _rundir / "elasticc.v0_9_1.alert.avsc" - - self.countlogger = logging.getLogger( f"countlogger_{loggername}" ) - self.countlogger.propagate = False - _countlogout = logging.FileHandler( _rundir / f"logs/alertpoll_counts_{loggername}.log" ) - _countformatter = logging.Formatter( f'[%(asctime)s - %(levelname)s] - %(message)s', - datefmt='%Y-%m-%d %H:%M:%S' ) - _countlogout.setFormatter( _countformatter ) - self.countlogger.addHandler( _countlogout ) - self.countlogger.setLevel( logging.DEBUG ) - - self.countlogger.info( f"************ Starting Brokerconsumer for {loggername} ****************" ) - - self.pipe = pipe - self.server = server - self.groupid = groupid - self.topics = topics - self._updatetopics = updatetopics - self._reset = reset - self.extraconfig = extraconfig - - self.schemaless = schemaless - if not self.schemaless: - self.countlogger.error( "CRASHING. I only know how to handle schemaless streams." ) - raise RuntimeError( "I only know how to handle schemaless streams" ) - self.schemafile = schemafile - self.schema = fastavro.schema.load_schema( self.schemafile ) - - self.nmessagesconsumed = 0 - - - @property - def reset( self ): - return self._reset - - @reset.setter - def reset( self, val ): - self._reset = val - - def create_connection( self ): - countdown = 5 - while countdown >= 0: - try: - self.consumer = MsgConsumer( self.server, self.groupid, self.schemafile, self.topics, extraconsumerconfig=self.extraconfig, consume_nmsgs=1000, consume_timeout=1, nomsg_sleeptime=5, logger=self.logger ) - countdown = -1 - except Exception as e: - countdown -= 1 - strio = io.StringIO("") - strio.write( f"Exception connecting to broker: {str(e)}" ) - traceback.print_exc( file=strio ) - self.logger.warning( strio.getvalue() ) - if countdown >= 0: - self.logger.warning( "Sleeping 5s and trying again." ) - time.sleep(5) - else: - self.logger.error( "Repeated exceptions connecting to broker, punting." ) - self.countlogger.error( "Repeated exceptions connecting to broker, punting." ) - raise RuntimeError( "Failed to connect to broker" ) - - if self._reset and ( self.topics is not None ): - self.countlogger.info( f"*************** Resetting to start of broker kafka stream ***************" ) - self.reset_to_start() - # Only want to reset the first time the connection is opened! - self._reset = False - - self.countlogger.info( f"**************** Consumer connection opened *****************" ) - - def close_connection( self ): - self.countlogger.info( f"**************** Closing consumer connection ******************" ) - self.consumer.close() - self.consumer = None - - - def reset_to_start( self ): - self.logger.info( "Resetting all topics to start" ) - for topic in self.topics: - self.consumer.reset_to_start( topic ) - - def handle_message_batch( self, msgs ): - messagebatch = [] - self.countlogger.info( f"Handling {len(msgs)} messages; consumer has received " - f"{self.consumer.tot_handled} messages." ) - list_diaObject = [] - list_diaSource = [] - list_diaForcedSource = [] - - for msg in msgs: - timestamptype, timestamp = msg.timestamp() - - - if timestamptype == confluent_kafka.TIMESTAMP_NOT_AVAILABLE: - timestamp = None - else: - timestamp = datetime.datetime.fromtimestamp( timestamp / 1000, tz=datetime.timezone.utc ) - - payload = msg.value() - if not self.schemaless: - self.countlogger.error( "I only know how to handle schemaless streams" ) - raise RuntimeError( "I only know how to handle schemaless streams" ) - alert = fastavro.schemaless_reader( io.BytesIO( payload ), self.schema ) - - - diaObject = [] - diaSource = [] - diaForcedSource = [] - - diaObject.append(alert['diaObject']['diaObjectId']) - diaObject.append(timestamp) - diaObject.append(alert['diaObject']['ra']) - diaObject.append(alert['diaObject']['decl']) - - # Now store DiaSources and DiaForcedSources - - diaSource.append(alert['diaSource']['diaSourceId']) - diaSource.append(alert['diaSource']['diaObjectId']) - diaSource.append(alert['diaSource']['midPointTai']) - diaSource.append(alert['diaSource']['ra']) - diaSource.append(alert['diaSource']['decl']) - diaSource.append(alert['diaSource']['psFlux']) - diaSource.append(alert['diaSource']['psFluxErr']) - diaSource.append(alert['diaSource']['snr']) - diaSource.append(alert['diaSource']['filterName']) - diaSource.append(timestamp) - - list_diaObject.append(diaObject) - list_diaSource.append(diaSource) - - - for s in alert['prvDiaSources']: - - diaSource = [] - ccdVisit = [] - diaSource.append(s['diaSourceId']) - diaSource.append(s['diaObjectId']) - diaSource.append(s['midPointTai']) - diaSource.append(s['ra']) - diaSource.append(s['decl']) - diaSource.append(s['psFlux']) - diaSource.append(s['psFluxErr']) - diaSource.append(s['snr']) - diaSource.append(s['filterName']) - diaSource.append(timestamp) - - list_diaSource.append(diaSource) - - - for s in alert['prvDiaForcedSources']: - - diaForcedSource = [] - ccdVisit = [] - diaForcedSource.append(s['diaForcedSourceId']) - diaForcedSource.append(s['diaObjectId']) - diaForcedSource.append(s['psFlux']) - diaForcedSource.append(s['psFluxErr']) - diaForcedSource.append(s['filterName']) - diaForcedSource.append(timestamp) - - list_diaForcedSource.append(diaForcedSource) - - - # Connect to the fake PPDB - - # Get password - - secret = os.environ['PPDB_WRITER_PASSWORD'] - conn_string = "host='fastdb-ppdb-psql' dbname='ppdb' user='ppdb_writer' password='%s'" % secret.strip() - self.logger.info("Connecting to database %s" % conn_string) - conn = psycopg2.connect(conn_string) - - cursor = conn.cursor() - self.logger.info("Connected") - - names = ['diaObjectId','validityStart','ra','decl'] - - query = sql.SQL("INSERT INTO {} ({}) VALUES ({})").format(sql.Identifier('DiaObject'),sql.SQL(', ').join(map(sql.Identifier, names)),sql.SQL(', ').join(map(sql.Placeholder, names))) - self.logger.info(query.as_string(conn)) - q = sql.SQL("SELECT {} from {} where {} = %s").format(sql.Identifier('diaObjectId'),sql.Identifier('DiaObject'),sql.Identifier('diaObjectId')) - self.logger.info(q.as_string(conn)) - for r in list_diaObject: - # Make sure we haven't already added this object - - cursor.execute(q,(r[0],)) - if cursor.rowcount == 0: - cursor.execute(query, {'diaObjectId':r[0], 'validityStart':r[1], 'ra':r[2], 'decl':r[3]}) - conn.commit() - - # Now add data for each source and forced source - - names = ['diaSourceId','filterName','diaObjectId','midPointTai', 'ra','decl','psFlux', 'psFluxSigma', 'snr', 'observeDate'] - query = sql.SQL( "INSERT INTO {} ({}) VALUES ({})").format(sql.Identifier('DiaSource'),sql.SQL(',').join(map(sql.Identifier, names)),sql.SQL(',').join(map(sql.Placeholder, names))) - q = sql.SQL("SELECT {} from {} where {} = %s").format(sql.Identifier('diaSourceId'),sql.Identifier('DiaSource'),sql.Identifier('diaSourceId')) - self.logger.info(query.as_string(conn)) - for r in list_diaSource: - # Make sure we haven't already added this object - - cursor.execute(q,(r[0],)) - if cursor.rowcount == 0: - cursor.execute(query, {'diaSourceId':r[0],'filterName':r[8],'diaObjectId':r[1],'midPointTai':r[2], 'ra':r[3],'decl':r[4],'psFlux':r[5], 'psFluxSigma':r[6], 'snr':r[7], 'observeDate':r[9]}) - conn.commit() - - names = ['diaForcedSourceId','filterName','diaObjectId','psFlux', 'psFluxSigma', 'observeDate'] - query = sql.SQL( "INSERT INTO {} ({}) VALUES ({})").format(sql.Identifier('DiaForcedSource'),sql.SQL(',').join(map(sql.Identifier, names)),sql.SQL(',').join(map(sql.Placeholder, names))) - self.logger.info(query.as_string(conn)) - q = sql.SQL("SELECT {} from {} where {} = %s").format(sql.Identifier('diaForcedSourceId'),sql.Identifier('DiaForcedSource'),sql.Identifier('diaForcedSourceId')) - for r in list_diaForcedSource: - # Make sure we haven't already added this object - - cursor.execute(q,(r[0],)) - if cursor.rowcount == 0: - cursor.execute(query, {'diaForcedSourceId':r[0],'filterName':r[4],'diaObjectId':r[1],'psFlux':r[2], 'psFluxSigma':r[3], 'observeDate':r[5]}) - - conn.commit() - cursor.close() - conn.close() - - - - def poll( self, restart_time=datetime.timedelta(minutes=30) ): - self.create_connection() - while True: - if self._updatetopics: - self.update_topics() - strio = io.StringIO("") - if len(self.consumer.topics) == 0: - self.logger.info( "No topics, will wait 10s and reconnect." ) - time.sleep(10) - else: - self.logger.info( f"Subscribed to topics: {self.consumer.topics}; starting poll loop." ) - self.countlogger.info( f"Subscribed to topics: {self.consumer.topics}; starting poll loop." ) - try: - happy = self.consumer.poll_loop( handler=self.handle_message_batch, - max_consumed=None, max_runtime=restart_time, - pipe=self.pipe ) - if happy: - strio.write( f"Reached poll timeout for {self.server}; " - f"handled {self.consumer.tot_handled} messages. " ) - else: - strio.write( f"Poll loop received die command after handling " - f"{self.consumer.tot_handled} messages. Exiting." ) - self.logger.info( strio.getvalue() ) - self.countlogger.info( strio.getvalue() ) - self.close_connection() - return - except Exception as e: - otherstrio = io.StringIO("") - traceback.print_exc( file=otherstrio ) - self.logger.warning( otherstrio.getvalue() ) - strio.write( f"Exception polling: {str(e)}. " ) - - if self.pipe.poll(): - msg = self.pipe.recv() - if ( 'command' in msg ) and ( msg['command'] == 'die' ): - self.logger.info( "No topics, but also exiting broker poll due to die command." ) - self.countlogger.info( "No topics, but also existing broker poll due to die command." ) - self.close_connection() - return - strio.write( "Reconnecting.\n" ) - self.logger.info( strio.getvalue() ) - self.countlogger.info( strio.getvalue() ) - self.close_connection() - if self._updatetopics: - self.topics = None - self.create_connection() - - - def store(self, messages = None): - - messagebatch = messages - results = self.collection.insert_many(messagebatch) - count = len(results.inserted_ids) - self.logger.info(f"Inserted {count} messages") - - return - -class PublicZTFConsumer(BrokerConsumer): - - def __init__( self, loggername="PUBLIC_ZTF", **kwargs ): - - server = "public.alerts.ztf.uw.edu:9092" - #server = "127.0.0.0:9092" - groupid = "elasticc-lbnl" - topics = ['elasticc-1'] - #server = "kafka.antares.noirlab.edu:9092" - updatetopics = False - extraconfig = {} - - super().__init__( server, groupid, topics=topics, updatetopics=updatetopics, extraconfig=extraconfig, loggername=loggername, **kwargs ) - self.logger.info( f"Public ZTF group id is {groupid}" ) - - -class Broker(object): - - def __init__( self, reset=False, *args, **kwargs ): - - self.logger = logging.getLogger( "brokerpoll_baselogger" ) - self.logger.propagate = False - logout = logging.FileHandler( _rundir / f"logs/alertpoll.log" ) - self.logger.addHandler( logout ) - formatter = logging.Formatter( f'[%(asctime)s - alertpoll - %(levelname)s] - %(message)s', - datefmt='%Y-%m-%d %H:%M:%S' ) - logout.setFormatter( formatter ) - self.logger.setLevel( logging.DEBUG ) - self.reset = reset - - - def sigterm( self, sig="TERM" ): - self.logger.warning( f"Got a {sig} signal, trying to die." ) - self.mustdie = True - - def launch_broker( self, brokerclass, pipe, **options ): - signal.signal( signal.SIGINT, - lambda sig, stack: self.logger.warning( f"{brokerclass.__name__} ignoring SIGINT" ) ) - signal.signal( signal.SIGTERM, - lambda sig, stack: self.logger.warning( f"{brokerclass.__name__} ignoring SIGTERM" ) ) - consumer = brokerclass( pipe=pipe ) - consumer.poll() - - def broker_poll( self, *args, **options ): - self.logger.info( "******** brokerpoll starting ***********" ) - - self.mustdie = False - signal.signal( signal.SIGTERM, lambda sig, stack: self.sigterm( "TERM" ) ) - signal.signal( signal.SIGINT, lambda sig, stack: self.sigterm( "INT" ) ) - - #brokerstodo = { 'antares': AntaresConsumer, - # 'fink': FinkConsumer, - # 'alerce': AlerceConsumer, - # 'ztf': PublicZTFConsumer } - brokerstodo = {'ztf': PublicZTFConsumer } - - brokers = {} - - # Launch a process for each broker that will poll that broker indefinitely - - for name,brokerclass in brokerstodo.items(): - self.logger.info( f"Launching thread for {name}" ) - parentconn, childconn = multiprocessing.Pipe() - proc = multiprocessing.Process( target=self.launch_broker(brokerclass, childconn, **options) ) - proc.start() - brokers[name] = { "process": proc, - "pipe": parentconn, - "lastheartbeat": time.monotonic() } - - # Listen for a heartbeat from all processes. - # If we don't get a heartbeat for 5min, - # kill that process and restart it. - - heartbeatwait = 2 - toolongsilent = 300 - while not self.mustdie: - try: - pipelist = [ b['pipe'] for i,b in brokers.items() ] - whichpipe = multiprocessing.connection.wait( pipelist, timeout=heartbeatwait ) - - brokerstorestart = set() - for name, broker in brokers.items(): - try: - while broker['pipe'].poll(): - msg = broker['pipe'].recv() - if ( 'message' not in msg ) or ( msg['message'] != "ok" ): - self.logger.error( f"Got unexpected message from thread for {name}; " - f"will restart: {msg}" ) - brokerstorestart.add( name ) - else: - self.logger.debug( f"Got heartbeat from {name}" ) - broker['lastheartbeat'] = time.monotonic() - except Exception as ex: - self.logger.error( f"Got exception listening for heartbeat from {name}; will restart." ) - brokerstorestart.add( name ) - - for name, broker in brokers.items(): - dt = time.monotonic() - broker['lastheartbeat'] - if dt > toolongsilent: - self.logger.error( f"It's been {dt:.0f} seconds since last heartbeat from {name}; "f"will restart." ) - brokerstorestart.add( name ) - - for torestart in brokerstorestart: - self.logger.warning( f"Killing and restarting process for {torestart}" ) - brokers[torestart]['process'].kill() - brokers[torestart]['pipe'].close() - del brokers[torestart] - parentconn, childconn = multiprocessing.Pipe() - proc = multiprocessing.Process( target=lambda: self.launch_broker( brokerstodo[torestart], - childconn, **options ) ) - proc.start() - brokers[torestart] = { "process": proc, - "pipe": parentconn, - "lastheartbeat": time.monotonic() } - except Exception as ex: - self.logger.exception( "brokerpoll got an exception, going to shut down." ) - self.mustdie = True - - # I chose 20s since kubernetes sends a TERM and then waits 30s before shutting things down - self.logger.warning( "Shutting down. Sending die to all processes and waiting 20s" ) - for name, broker in brokers.items(): - broker['pipe'].send( { "command": "die" } ) - time.sleep( 20 ) - self.logger.warning( "Exiting." ) - return - - -if __name__ == '__main__': - - logger = logging.getLogger( "brokerpoll_baselogger" ) - logger.propagate = False - logout = logging.FileHandler( _rundir / f"logs/alertpoll.log" ) - logger.addHandler( logout ) - formatter = logging.Formatter( f'[%(asctime)s - alertrpoll - %(levelname)s] - %(message)s',datefmt='%Y-%m-%d %H:%M:%S' ) - logout.setFormatter( formatter ) - logger.setLevel( logging.DEBUG ) - - - parser = OptionParser() - parser.add_option('-r', '--reset', action='store_true', default=False, help='Reset all stream pointers') - - (options, args) = parser.parse_args() - - broker = Broker(reset=options.reset) - - poll = broker.broker_poll(reset=options.reset) +raise RuntimeError( 'Deprecated, use the fastdb_dev "fastdb_dev_brokerpoll" django management command.' ) diff --git a/tests/alertcyclefixtures.py b/tests/alertcyclefixtures.py index 8135a3a4..eed725d6 100644 --- a/tests/alertcyclefixtures.py +++ b/tests/alertcyclefixtures.py @@ -1,12 +1,29 @@ -# IMPORTANT -- running any tests that depend on fixtures in this file -# OTHER than alert_cycle_complete requires a completely fresh -# environment. After any run of "pytest ...", if you want to run tests -# (e.g. in test_alert_cycle.py) that use these fixtures, you have to -# completely tear down and rebuild the docker compose environment. This -# is because, as noted below, we can't easily clean up the kafka -# server's state, so on a rerun, the server state will be wrong. (We -# also use that as a reason to be lazy and not clean up the database; -# see the long comment below.) +# NOTES ABOUT TEST INTEROPERABILITY +# +# These tests depend a lot on absolute state. Their results are tested +# in test_elassticc2_alertcycle.py and test_fastdb_dev_alertcycle.py. +# Any other test should ONLY depend on the session fixture +# alert_cycle_complete from this test; that fixture will ensure that the +# PPDB, elasticc2 and fastdb_dev diaObject, diaSource, and +# diaForcedSource are all loaded, as well as all broker classifications +# for both elasticc2 and fastdb_dev. (This fixture is used, for example, +# in test_elasticc2_spectrumcycle.py.) +# +# These fixtures count on absolute numbers of objects in the following models and databse tables: +# ... +# No tests that put anything into any of those storage locations should +# be run in the same pytest call as tests that depend on these fixtures. + + +# The fixtures in this file test the full alert cycle of sending alerts +# from the simulated PPDB (using the django management command +# send_elasticc2_alerts), a fake broker classifying those alerts (see +# "def fakebroker" below), those classifications getting ingested by +# both elasticc2 and fastdb_dev (using management commands brokerpoll2 +# and fastdb_dev_brokerpoll, both running as a continuous loop in the +# background), and classifications prompting the popualtion the +# diaObject, diaSource, and diaForce tables (using django management +# commands update_elasticc2_sources and load_fastdb). import sys import os @@ -16,9 +33,9 @@ import pytz import random import subprocess +import multiprocessing import pytest - -from pymongo import MongoClient +import logging sys.path.insert( 0, "/tom_desc" ) os.environ["DJANGO_SETTINGS_MODULE"] = "tom_desc.settings" @@ -30,7 +47,11 @@ import tom_targets.models from tom_client import TomClient -from msgconsumer import MsgConsumer +sys.stderr.write( "ALERTCYCLEFIXTURES IMPORTING testmsgconsumer\n" ) +from testmsgconsumer import MsgConsumer + +sys.path.insert( 0, pathlib.Path(__file__).parent ) +from fakebroker import FakeBroker # NOTE -- in many of the fixtures below there are lots of tests that # would normally be in the tests_* file that use the fixtures. The @@ -60,6 +81,17 @@ # have already been run once in a given docker compose environment, the # database will be changed, and the fixtures will fail. +_logger = logging.getLogger( "alertcyclefixtures" ) +_logger.propagate = False +_logout = logging.StreamHandler( sys.stderr ) +_logger.addHandler( _logout ) +_formatter = logging.Formatter( f'[%(asctime)s - alertcyclefixtures - %(levelname)s] - %(message)s', + datefmt='%Y-%m-%d %H:%M:%S' ) +_logout.setFormatter( _formatter ) +_logger.setLevel( logging.INFO ) + + + # The numbers in these tests are based on the SNANA files in the # directory elasticc2_alert_test_data under tests, which should # be unpacked from elasticc2_alert_test_data.tar.bz2. @@ -72,21 +104,98 @@ def handle_test_alerts_exist( self, msgs ): self._test_alerts_exist_count += len(msgs) +# It's not really possible to clean up messages off of the kafka server. +# So, to have a "fresh" environment, we randomly generate topics each time +# we start a new session, so those topics will begin empty. +@pytest.fixture( scope="session" ) +def topic_barf(): + return "".join( random.choices( "abcdefghijklmnopqrstuvwxyz", k=10 ) ) + + +@pytest.fixture( scope="session" ) +def fakebroker( topic_barf ): + broker = FakeBroker( "kafka-server:9092", + [ f"alerts-wfd-{topic_barf}", f"alerts-ddf-full-{topic_barf}" ], + "kafka-server:9092", + f"classifications-{topic_barf}" ) + proc = multiprocessing.Process( target=broker, args=[], daemon=True ) + proc.start() + + yield True + + proc.terminate() + proc.join() + + @pytest.fixture( scope="session" ) -def alerts_300days( elasticc2_ppdb ): +def brokerpoll_elasticc2( topic_barf ): + def run_brokerpoll( topic_barf ): + # Instead of using subprocess, use os.execvp so that signals we + # send to this process properly get to the command we're + # launching. (The brokerpoll2 management command loops + # forever, but captures SIGINT, SIGKILL, and SIGUSR1, + # and shuts itself down upon receiving any of those signals.) + # (That's the intention, anyway....) + sys.stdout.flush() + sys.stderr.flush() + os.chdir( "/tom_desc" ) + args = [ "python", "manage.py", "brokerpoll2", + "--do-test", + "--grouptag", "elasticc2", + "--test-topic", f"classifications-{topic_barf}" ] + os.execvp( args[0], args ) + + proc = multiprocessing.Process( target=run_brokerpoll, args=(topic_barf,), daemon=True ) + proc.start() + + yield True + + proc.terminate() + proc.join() + + +@pytest.fixture( scope="session" ) +def brokerpoll_fastdb_dev( topic_barf ): + def run_brokerpoll( topic_barf ): + # See comments in brokerpoll_elasticc2 + sys.stdout.flush() + sys.stderr.flush() + os.chdir( "/tom_desc" ) + args = [ "python", "manage.py", "fastdb_dev_brokerpoll", + "--do-test", + "--grouptag", "fastdb_dev", + "--test-topic", f"classifications-{topic_barf}" ] + os.execvp( args[0], args ) + + proc = multiprocessing.Process( target=run_brokerpoll, args=(topic_barf,), daemon=True ) + proc.start() + + yield True + + proc.terminate() + proc.join() + + +@pytest.fixture( scope="session" ) +def alerts_300days( elasticc2_ppdb, topic_barf ): result = subprocess.run( [ "python", "manage.py", "send_elasticc2_alerts", "-d", "60578", "-k", "kafka-server:9092", - "--wfd-topic", "alerts-wfd", "--ddf-full-topic", "alerts-ddf-full", - "--ddf-limited-topic", "alerts-ddf-limited", + "--wfd-topic", f"alerts-wfd-{topic_barf}", + "--ddf-full-topic", f"alerts-ddf-full-{topic_barf}", + "--ddf-limited-topic", f"alerts-ddf-limited-{topic_barf}", "-s", "/tests/schema/elasticc.v0_9_1.alert.avsc", - "-r", "sending_alerts_runningfile", "--do" ], + "-r", "sending_alerts_runningfile", + "--do" ], cwd="/tom_desc", capture_output=True ) sys.stderr.write( result.stderr.decode( 'utf-8' ) ) assert result.returncode == 0 - consumer = MsgConsumer( 'kafka-server:9092', 'test_send_alerts', [ 'alerts-wfd', 'alerts-ddf-full' ], + consumer = MsgConsumer( 'kafka-server:9092', + 'test_send_alerts', + [ f'alerts-wfd-{topic_barf}', f'alerts-ddf-full-{topic_barf}' ], '/tests/schema/elasticc.v0_9_1.alert.avsc', - consume_nmsgs=100 ) + consume_nmsgs=100, + logger=_logger ) counter = AlertCounter() consumer.poll_loop( counter.handle_test_alerts_exist, timeout=10, stopafter=datetime.timedelta(seconds=10) ) # I don't understand why this is 546. 545 were sent. @@ -98,13 +207,16 @@ def alerts_300days( elasticc2_ppdb ): @pytest.fixture( scope="session" ) -def classifications_300days_exist( alerts_300days ): +def classifications_300days_exist( alerts_300days, topic_barf, fakebroker ): counter = AlertCounter() - consumer = MsgConsumer( 'kafka-server:9092', 'test_classifications_exist', 'classifications', + consumer = MsgConsumer( 'kafka-server:9092', + 'test_classifications_exist', + f'classifications-{topic_barf}', '/tests/schema/elasticc.v0_9_1.brokerClassification.avsc', - consume_nmsgs=100 ) - consumer.reset_to_start( 'classifications' ) + consume_nmsgs=100, + logger=_logger ) + consumer.reset_to_start( f'classifications-{topic_barf}' ) # fake broker has a 10s sleep loop, so we can't # assume things will be there instantly; thus, the 16s timeout. @@ -120,7 +232,7 @@ def classifications_300days_exist( alerts_300days ): @pytest.fixture( scope="session" ) -def classifications_300days_elasticc2_ingested( classifications_300days_exist ): +def classifications_300days_elasticc2_ingested( classifications_300days_exist, brokerpoll_elasticc2 ): # Have to have an additional sleep after the classifications exist, # because brokerpoll itself has a 10s sleep loop time.sleep( 11 ) @@ -157,7 +269,7 @@ def classifications_300days_elasticc2_ingested( classifications_300days_exist ): @pytest.fixture( scope="session" ) -def classifications_300days_fastdb_dev_ingested( classifications_300days_exist ): +def classifications_300days_fastdb_dev_ingested( classifications_300days_exist, brokerpoll_fastdb_dev, mongoclient ): # Have to have an additional sleep after the classifications exist, # because brokerpoll itself has a 10s sleep loop time.sleep( 11 ) @@ -167,11 +279,7 @@ def classifications_300days_fastdb_dev_ingested( classifications_300days_exist ) # later fixtures have run, the tests below would fail, and these # fixtures may be used in more than one test. - host = os.getenv( 'MONGOHOST' ) - username = os.getenv( 'MONGODB_ALERT_READER' ) - password = os.getenv( 'MONGODB_ALERT_READER_PASSWORD' ) - client = MongoClient( f"mongodb://{username}:{password}@{host}:27017/?authSource=alerts" ) - db = client.alerts + db = mongoclient.alerts assert 'fakebroker' in db.list_collection_names() @@ -262,18 +370,21 @@ def update_fastdb_dev_diasource_300days( classifications_300days_fastdb_dev_inge yield True @pytest.fixture( scope="session" ) -def alerts_100daysmore( alerts_300days ): +def alerts_100daysmore( alerts_300days, topic_barf, fakebroker ): # This will send alerts up through mjd 60676. Why not 60678, since the previous # sent through 60578? There were no alerts between 60675 and 60679, so the last # alert sent will have been a source from mjd 60675. That's what the 100 days # are added to. # This is an additional 105 alerts, for a total of 650 (coming from 131 objects). - result = subprocess.run( [ "python", "manage.py", "send_elasticc2_alerts", "-a", "100", + result = subprocess.run( [ "python", "manage.py", "send_elasticc2_alerts", + "-a", "100", "-k", "kafka-server:9092", - "--wfd-topic", "alerts-wfd", "--ddf-full-topic", "alerts-ddf-full", - "--ddf-limited-topic", "alerts-ddf-limited", + "--wfd-topic", f"alerts-wfd-{topic_barf}", + "--ddf-full-topic", f"alerts-ddf-full-{topic_barf}", + "--ddf-limited-topic", f"alerts-ddf-limited-{topic_barf}", "-s", "/tests/schema/elasticc.v0_9_1.alert.avsc", - "-r", "sending_alerts_runningfile", "--do" ], + "-r", "sending_alerts_runningfile", + "--do" ], cwd="/tom_desc", capture_output=True ) sys.stderr.write( result.stderr.decode( 'utf-8' ) ) assert result.returncode == 0 @@ -283,7 +394,7 @@ def alerts_100daysmore( alerts_300days ): # Same issue as alerts_300days about not cleaning up @pytest.fixture( scope="session" ) -def classifications_100daysmore_elasticc2_ingested( alerts_100daysmore ): +def classifications_100daysmore_elasticc2_ingested( alerts_100daysmore, brokerpoll_elasticc2 ): # This time we need to allow for both the 10s sleep cycle timeout of # brokerpoll and fakebroker (since we're not checking # classifications exist separately from ingested) @@ -313,7 +424,7 @@ def classifications_100daysmore_elasticc2_ingested( alerts_100daysmore ): @pytest.fixture( scope="session" ) -def classifications_100daysmore_fastdb_dev_ingested( alerts_100daysmore ): +def classifications_100daysmore_fastdb_dev_ingested( alerts_100daysmore, brokerpoll_fastdb_dev, mongoclient ): # This time we need to allow for both the 10s sleep cycle timeout of # brokerpoll and fakebroker (since we're not checking # classifications exist separately from ingested) @@ -321,11 +432,7 @@ def classifications_100daysmore_fastdb_dev_ingested( alerts_100daysmore ): # Tests here because of hysteresis - host = os.getenv( 'MONGOHOST' ) - username = os.getenv( 'MONGODB_ALERT_READER' ) - password = os.getenv( 'MONGODB_ALERT_READER_PASSWORD' ) - client = MongoClient( f"mongodb://{username}:{password}@{host}:27017/?authSource=alerts" ) - db = client.alerts + db = mongoclient.alerts assert 'fakebroker' in db.list_collection_names() @@ -417,12 +524,17 @@ def update_fastdb_dev_diasource_100daysmore( classifications_100daysmore_fastdb_ yield True @pytest.fixture( scope="session" ) -def api_classify_existing_alerts( alerts_100daysmore, apibroker_client ): - result = subprocess.run( [ "python", "apiclassifier.py", "--source", "kafka-server:9092", - "-t", "alerts-wfd", "alerts-ddf-full", - "-g", "apibroker", "-u", "apibroker", "-p", "testing", "-s", "2", +def api_classify_existing_alerts( alerts_100daysmore, apibroker_client, topic_barf ): + result = subprocess.run( [ "python", "apiclassifier.py", + "--source", "kafka-server:9092", + "-t", f"alerts-wfd-{topic_barf}", f"alerts-ddf-full-{topic_barf}", + "-g", "apibroker", + "-u", "apibroker", + "-p", "testing", + "-s", "2", "-a", "/tests/schema/elasticc.v0_9_1.alert.avsc", - "-b", "/tests/schema/elasticc.v0_9_1.brokerClassification.avsc"], + "-b", "/tests/schema/elasticc.v0_9_1.brokerClassification.avsc" + ], cwd="/tests", capture_output=True ) sys.stderr.write( result.stderr.decode( 'utf-8' ) ) assert result.returncode == 0 @@ -485,7 +597,7 @@ def random_broker_classifications(): @pytest.fixture( scope="session" ) -def alert_cycle_complete( request, tomclient ): +def alert_cycle_complete( request, tomclient, mongoclient ): res = tomclient.post( 'db/runsqlquery/', json={ 'query': 'SELECT COUNT(*) AS count FROM elasticc2_brokermessage' } ) rows = res.json()[ 'rows' ] @@ -496,16 +608,26 @@ def alert_cycle_complete( request, tomclient ): yield True - -__all__ = [ 'alerts_300days', - 'classifications_300days_exist', - 'classifications_300days_elasticc2_ingested', - 'classifications_300days_fastdb_dev_ingested', - 'update_elasticc2_diasource_300days', - 'update_fastdb_dev_diasource_300days', - 'alerts_100daysmore', - 'classifications_100daysmore_elasticc2_ingested', - 'classifications_100daysmore_fastdb_dev_ingested', - 'update_fastdb_dev_diasource_100daysmore', - 'api_classify_existing_alerts', - 'alert_cycle_complete' ] + # Clean up the database. + # This is potentially antisocial, since other fixtures may have + # added things to these tables. However, since this is as session + # fixture, it shouldn't be too bad. But, in any event, there are + # problems running this fixture with any tests other than those in + # test_elasticc2_alertcycle and test_fastdb_dev_alertcycle that + # want to look at any of these tables; see top of file. + + elasticc2.models.BrokerMessage.objects.all().delete() + elasticc2.models.BrokerClassifier.objects.all().delete() + elasticc2.models.BrokerSourceIds.objects.all().delete() + elasticc2.models.DiaObjectOfTarget.objects.all().delete() + tom_targets.models.Target.objects.all().delete() + elasticc2.models.DiaForcedSource.objects.all().delete() + elasticc2.models.DiaSource.objects.all().delete() + elasticc2.models.DiaObject.objects.all().delete() + + db = mongoclient.alerts + + if 'fakebroker' in db.list_collection_names(): + coll = db.fakebroker + coll.drop() + assert 'fakebroker' not in db.list_collection_names() diff --git a/tests/apiclassifier.py b/tests/apiclassifier.py index ff2d189c..d5afaf32 100644 --- a/tests/apiclassifier.py +++ b/tests/apiclassifier.py @@ -7,12 +7,12 @@ import fastavro import datetime -from msgconsumer import MsgConsumer +from testmsgconsumer import MsgConsumer from tom_client import TomClient _rundir = pathlib.Path( __file__ ).parent -_logger = logging.getLogger( __name__ ) +_logger = logging.getLogger( "tests/apiclassifier" ) _logger.propagate = False if not _logger.hasHandlers(): _logout = logging.StreamHandler( sys.stderr ) diff --git a/tests/conftest.py b/tests/conftest.py index a03e2a4c..0c763eda 100644 --- a/tests/conftest.py +++ b/tests/conftest.py @@ -8,6 +8,8 @@ import subprocess import pytest +from pymongo import MongoClient + sys.path.insert( 0, "/tom_desc" ) os.environ["DJANGO_SETTINGS_MODULE"] = "tom_desc.settings" import django @@ -16,10 +18,23 @@ import elasticc2.models from tom_client import TomClient +# Additional fixtures +sys.path.insert( 0, os.getenv("PWD") ) +pytest_plugins = [ 'alertcyclefixtures' ] + + @pytest.fixture( scope="session" ) def tomclient(): return TomClient( "http://tom:8080", username="root", password="testing" ) +@pytest.fixture( scope="session" ) +def mongoclient(): + host = os.getenv( 'MONGOHOST' ) + username = os.getenv( 'MONGODB_ALERT_READER' ) + password = os.getenv( 'MONGODB_ALERT_READER_PASSWORD' ) + client = MongoClient( f"mongodb://{username}:{password}@{host}:27017/?authSource=alerts" ) + return client + @pytest.fixture( scope="session" ) def apibroker_client(): return TomClient( "http://tom:8080", username="apibroker", password="testing" ) diff --git a/tests/docker-compose.yaml b/tests/docker-compose.yaml index ded0f2f8..329ecd74 100644 --- a/tests/docker-compose.yaml +++ b/tests/docker-compose.yaml @@ -1,6 +1,6 @@ services: kafka-zookeeper: - image: registry.nersc.gov/m1727/raknop/kafka + image: ${TOM_DOCKER_ARCHIVE:-ghcr.io/lsstdesc/tom_desc}/kafka:${TOM_DOCKER_VERSION:-latest} build: context: ../docker_kafka healthcheck: @@ -14,7 +14,7 @@ services: depends_on: kafka-zookeeper: condition: service_healthy - image: registry.nersc.gov/m1727/raknop/kafka + image: ${TOM_DOCKER_ARCHIVE:-ghcr.io/lsstdesc/tom_desc}/kafka:${TOM_DOCKER_VERSION:-latest} build: context: ../docker_kafka healthcheck: @@ -24,17 +24,17 @@ services: retries: 5 entrypoint: [ "bin/kafka-server-start.sh", "config/server.properties" ] - fakebroker: - depends_on: - kafka-server: - condition: service_healthy - image: registry.nersc.gov/m1727/raknop/fakebroker - build: - context: . - dockerfile: Dockerfile.fakebroker + # fakebroker: + # depends_on: + # kafka-server: + # condition: service_healthy + # image: ${TOM_DOCKER_ARCHIVE:-ghcr.io/lsstdesc/tom_desc}/fakebroker:${TOM_DOCKER_VERSION:-latest} + # build: + # context: . + # dockerfile: Dockerfile.fakebroker postgres: - image: registry.nersc.gov/m1727/raknop/tom-postgres + image: ${TOM_DOCKER_ARCHIVE:-ghcr.io/lsstdesc/tom_desc}/tom-postgres:${TOM_DOCKER_VERSION:-latest} build: context: ../docker_postgres target: tom-postgres @@ -45,7 +45,7 @@ services: retries: 5 mongodb: - image: registry.nersc.gov/m1727/rknop/tom-mongodb:latest + image: ${TOM_DOCKER_ARCHIVE:-ghcr.io/lsstdesc/tom_desc}/tom-mongodb:${TOM_DOCKER_VERSION:-latest} build: context: ../docker_mongodb environment: @@ -73,7 +73,7 @@ services: condition: service_healthy mongodb: condition: service_healthy - image: registry.nersc.gov/m1727/raknop/tom_desc_bindmount + image: ${TOM_DOCKER_ARCHIVE:-ghcr.io/lsstdesc/tom_desc}/tom_desc_bindmount:${TOM_DOCKER_VERSION:-latest} build: context: ../ dockerfile: docker_server/Dockerfile @@ -120,7 +120,7 @@ services: depends_on: createdb: condition: service_completed_successfully - image: registry.nersc.gov/m1727/raknop/tom_desc_bindmount + image: ${TOM_DOCKER_ARCHIVE:-ghcr.io/lsstdesc/tom_desc}/tom_desc_bindmount:${TOM_DOCKER_VERSION:-latest} build: context: ../ dockerfile: docker_server/Dockerfile @@ -154,77 +154,79 @@ services: MONGODB_ALERT_READER_PASSWORD: reader - brokerpoll: - depends_on: - createdb: - condition: service_completed_successfully - tom: - condition: service_started - fakebroker: - condition: service_started - image: registry.nersc.gov/m1727/raknop/tom_desc_bindmount - build: - context: ../ - dockerfile: docker_server/Dockerfile - target: tom-server-bindmount - volumes: - - type: bind - source: ../secrets - target: /secrets - - type: bind - source: ../tom_desc - target: /tom_desc - - type: volume - source: logs - target: /logs - environment: - LOGDIR: /logs - DB_NAME: tom_desc - DB_HOST: postgres - DB_USER: postgres - DB_PASS: fragile - DB_PORT: 5432 - entrypoint: [ "python", "manage.py", "brokerpoll2", "--do-test", "--grouptag", "elasticc2" ] + # brokerpoll: + # depends_on: + # createdb: + # condition: service_completed_successfully + # tom: + # condition: service_started + # # fakebroker: + # # condition: service_started + # image: ${TOM_DOCKER_ARCHIVE:-ghcr.io/lsstdesc/tom_desc}/tom_desc_bindmount:${TOM_DOCKER_VERSION:-latest} + # build: + # context: ../ + # dockerfile: docker_server/Dockerfile + # target: tom-server-bindmount + # volumes: + # - type: bind + # source: ../secrets + # target: /secrets + # - type: bind + # source: ../tom_desc + # target: /tom_desc + # - type: volume + # source: logs + # target: /logs + # environment: + # LOGDIR: /logs + # DB_NAME: tom_desc + # DB_HOST: postgres + # DB_USER: postgres + # DB_PASS: fragile + # DB_PORT: 5432 + # entrypoint: [ "python", "manage.py", "brokerpoll2", "--do-test", "--grouptag", "elasticc2" ] - brokerpoll_fastdb_dev: - depends_on: - createdb: - condition: service_completed_successfully - tom: - condition: service_started - fakebroker: - condition: service_started - image: registry.nersc.gov/m1727/raknop/tom_desc_bindmount - build: - context: ../ - dockerfile: docker_server/Dockerfile - target: tom-server-bindmount - volumes: - - type: bind - source: ../secrets - target: /secrets - - type: bind - source: ../tom_desc - target: /tom_desc - - type: volume - source: logs - target: /logs - environment: - LOGDIR: /logs - MONGOHOST: mongodb - MONGODB_ADMIN: mongodb_admin - MONGODB_ADMIN_PASSWORD: fragile - MONGODB_ALERT_WRITER: mongodb_alert_writer - MONGODB_ALERT_WRITER_PASSWORD: writer - MONGODB_ALERT_READER: mongdb_alert_reader - MONGODB_ALERT_READER_PASSWORD: reader - DB_NAME: tom_desc - DB_HOST: postgres - DB_USER: postgres - DB_PASS: fragile - DB_PORT: 5432 - entrypoint: [ "python", "manage.py", "fastdb_dev_brokerpoll", "--do-test", "--grouptag", "fastdb_dev" ] + # brokerpoll_fastdb_dev: + # depends_on: + # createdb: + # condition: service_completed_successfully + # tom: + # condition: service_started + # kafka-server: + # condition: service_healthy + # # fakebroker: + # # condition: service_started + # image: ${TOM_DOCKER_ARCHIVE:-ghcr.io/lsstdesc/tom_desc}/tom_desc_bindmount:${TOM_DOCKER_VERSION:-latest} + # build: + # context: ../ + # dockerfile: docker_server/Dockerfile + # target: tom-server-bindmount + # volumes: + # - type: bind + # source: ../secrets + # target: /secrets + # - type: bind + # source: ../tom_desc + # target: /tom_desc + # - type: volume + # source: logs + # target: /logs + # environment: + # LOGDIR: /logs + # MONGOHOST: mongodb + # MONGODB_ADMIN: mongodb_admin + # MONGODB_ADMIN_PASSWORD: fragile + # MONGODB_ALERT_WRITER: mongodb_alert_writer + # MONGODB_ALERT_WRITER_PASSWORD: writer + # MONGODB_ALERT_READER: mongdb_alert_reader + # MONGODB_ALERT_READER_PASSWORD: reader + # DB_NAME: tom_desc + # DB_HOST: postgres + # DB_USER: postgres + # DB_PASS: fragile + # DB_PORT: 5432 + # entrypoint: [ "python", "manage.py", "fastdb_dev_brokerpoll", "--do-test", "--grouptag", "fastdb_dev" ] # Thought required: want to make this dependent on @@ -241,13 +243,15 @@ services: condition: service_healthy tom: condition: service_started - fakebroker: - condition: service_started - brokerpoll: - condition: service_started - brokerpoll_fastdb_dev: - condition: service_started - image: registry.nersc.gov/m1727/raknop/tom_server_bindmount_dev + kafka-server: + condition: service_healthy + # fakebroker: + # condition: service_started + # brokerpoll: + # condition: service_started + # brokerpoll_fastdb_dev: + # condition: service_started + image: ${TOM_DOCKER_ARCHIVE:-ghcr.io/lsstdesc/tom_desc}/tom_server_bindmount_dev:${TOM_DOCKER_VERSION:-latest} build: context: ../ dockerfile: docker_server/Dockerfile diff --git a/tests/fakebroker.py b/tests/fakebroker.py index 39a53875..dafcc7ef 100644 --- a/tests/fakebroker.py +++ b/tests/fakebroker.py @@ -10,18 +10,18 @@ import confluent_kafka import fastavro -from msgconsumer import MsgConsumer +sys.stderr.write( "FAKEBROKER importing testmsgconsumer\n" ) +from testmsgconsumer import MsgConsumer _rundir = pathlib.Path( __file__ ).parent -_logger = logging.getLogger( __name__ ) +_logger = logging.getLogger( "fakebroker" ) _logger.propagate = False -if not _logger.hasHandlers(): - _logout = logging.StreamHandler( sys.stderr ) - _logger.addHandler( _logout ) - _formatter = logging.Formatter( f'[%(asctime)s - %(levelname)s] - %(message)s', - datefmt='%Y-%m-%d %H:%M:%S' ) - _logout.setFormatter( _formatter ) +_logout = logging.StreamHandler( sys.stderr ) +_logger.addHandler( _logout ) +_formatter = logging.Formatter( f'[%(asctime)s - fakebroker - %(levelname)s] - %(message)s', + datefmt='%Y-%m-%d %H:%M:%S' ) +_logout.setFormatter( _formatter ) _logger.setLevel( logging.INFO ) # ====================================================================== @@ -44,7 +44,7 @@ def __init__( self, brokername, brokerversion, classifiername, classifierparams, self.nextlog = self.logevery def determine_types_and_probabilities( self, alert ): - """Given an alert (a dict in the format of the elasticc alert schema), return a list of + """Given an alert (a dict in the format of the elasticc alert schema), return a list of two-element tuples that is (classId, probability).""" raise RuntimeError( "Need to implement this function in a subclass!" ) @@ -111,7 +111,79 @@ def determine_types_and_probabilities( self, alert ): retval.append( ( 2242, 1-totprob ) ) return retval -# ====================================================================== +# ====================================================================== + +class FakeBroker: + def __init__( self, + source, + source_topics, + dest, + dest_topic, + group_id="rknop-test", + alert_schema=f"{_rundir}/schema/elasticc.v0_9_1.alert.avsc", + brokermessage_schema=f"{_rundir}/schema/elasticc.v0_9_1.brokerClassification.avsc", + reset=False ): + self.source = source + self.source_topics = source_topics + self.dest = dest + self.dest_topic = dest_topic + self.group_id = group_id + self.reset = reset + + self.alert_schema = alert_schema + alertschemaobj = fastavro.schema.load_schema( alert_schema ) + brokermsgschema = fastavro.schema.load_schema( brokermessage_schema ) + self.classifiers = [ NugentClassifier( kafkaserver=self.dest, topic=self.dest_topic, + alertschema=alertschemaobj, brokermessageschema=brokermsgschema ), + RandomSNType( kafkaserver=self.dest, topic=self.dest_topic, + alertschema=alertschemaobj, brokermessageschema=brokermsgschema ) + ] + + def handle_message_batch( self, msgs ): + for cfer in self.classifiers: + cfer.classify_alerts( msgs ) + + def __call__( self ): + if self.reset: + topicstoreset = set( self.source_topics ) + else: + topicstoreset = set() + consumer = None + while True: + subbed = [] + if consumer is not None: + consumer.close() + consumer = MsgConsumer( self.source, self.group_id, [], self.alert_schema, logger=_logger, + consume_nmsgs=100 ) + # Wait for the topic to exist, and only then subscribe + while len(subbed) == 0: + topics = consumer.topic_list() + _logger.debug( f"Topics seen on server: {topics}" ) + for topic in self.source_topics: + if topic in topics: + subbed.append( topic ) + if len(subbed) > 0: + _logger.debug( f"Subscribing to topics {subbed}" ) + if len(subbed) < len( self.source_topics ): + missing = [ i for i in self.source_topics if i not in subbed ] + _logger.debug( f"(Didn't see topics: {missing})" ) + consumer.subscribe( subbed ) + else: + _logger.warning( f"No topics in {self.source_topics} exists, sleeping 10s and trying again." ) + time.sleep( 10 ) + + if len(topicstoreset) > 0: + for topic in subbed: + if topic in topicstoreset: + consumer.reset_to_start( topic ) + topicstoreset.remove( topic ) + + consumer.poll_loop( handler=self.handle_message_batch, + stoponnomessages=(len(subbed) 0: - _logger.info( f"Subscribing to topics {subbed}" ) - if len(subbed) < len( args.source_topics ): - missing = [ i for i in args.source_topics if i not in subbed ] - _logger.info( f"(Didn't see topics: {missing})" ) - consumer.subscribe( subbed ) - else: - _logger.warning( f"No topics in {args.source_topics} exists, sleeping 10s and trying again." ) - time.sleep( 10 ) - - if len(topicstoreset) > 0: - for topic in subbed: - if topic in topicstoreset: - consumer.reset_to_start( topic ) - topicstoreset.remove( topic ) - - consumer.poll_loop( handler = handle_message_batch, stoponnomessages=(len(subbed) 0: self.consumer.subscribe( topics, on_assign=self._sub_callback ) else: - self.logger.warning( f'No topics given, not subscribing.' ) + self.logger.debug( f'No topics given, not subscribing.' ) def reset_to_start( self, topic ): self.logger.info( f'Resetting partitions for topic {topic}\n' ) @@ -84,26 +87,26 @@ def reset_to_start( self, topic ): self.logger.debug( "got throwaway message" if msg is not None else "did't get throwaway message" ) # Now do the reset partitions = self.consumer.list_topics( topic ).topics[topic].partitions + self.logger.debug( f"Found {len(partitions)} for topic {topic}" ) # partitions is a kmap - partlist = [] - # for partid, partinfo in partitions.items(): - # self.logger.info( f'...resetting {partid} ( {partinfo} )' ) - # # Is this next one redundant? partinfo should already have the right stuff! - # curpart = confluent_kafka.TopicPartition( topic, partinfo.id ) - for i in range(len(partitions)): - self.logger.info( f'...resetting partition {i}' ) - curpart = confluent_kafka.TopicPartition( topic, i ) - lowmark, highmark = self.consumer.get_watermark_offsets( curpart ) - self.logger.debug( f'Partition {curpart.topic} has id {curpart.partition} ' - f'and current offset {curpart.offset}; lowmark={lowmark} ' - f'and highmark={highmark}' ) - curpart.offset = lowmark - # curpart.offset = confluent_kafka.OFFSET_BEGINNING - if lowmark < highmark: - self.consumer.seek( curpart ) - partlist.append( curpart ) - self.logger.info( f'Committing partition offsets.' ) - self.consumer.commit( offsets=partlist, asynchronous=False ) + if len(partitions) > 0: + partlist = [] + for i in range(len(partitions)): + self.logger.info( f'...resetting partition {i}' ) + curpart = confluent_kafka.TopicPartition( topic, i ) + lowmark, highmark = self.consumer.get_watermark_offsets( curpart ) + self.logger.debug( f'Partition {curpart.topic} has id {curpart.partition} ' + f'and current offset {curpart.offset}; lowmark={lowmark} ' + f'and highmark={highmark}' ) + curpart.offset = lowmark + # curpart.offset = confluent_kafka.OFFSET_BEGINNING + if lowmark < highmark: + self.consumer.seek( curpart ) + partlist.append( curpart ) + self.logger.info( f'Committing partition offsets.' ) + self.consumer.commit( offsets=partlist, asynchronous=False ) + else: + self.logger.info( f"Resetting partitions: no partitions found, hope that means we're already reset...!" ) def topic_list( self ): cluster_meta = self.consumer.list_topics() @@ -114,7 +117,7 @@ def topic_list( self ): def print_topics( self ): topics = self.topic_list() topicstxt = '\n '.join(topics) - self.logger.info( f"\nTopics:\n {topicstxt}" ) + self.logger.debug( f"\nTopics:\n {topicstxt}" ) def _get_positions( self, partitions ): return self.consumer.position( partitions ) @@ -130,7 +133,7 @@ def print_assignments( self ): ofp = io.StringIO() ofp.write( "Current partition assignments\n" ) self._dump_assignments( ofp, asmgt ) - self.logger.info( ofp.getvalue() ) + self.logger.debug( ofp.getvalue() ) ofp.close() def _sub_callback( self, consumer, partitions ): @@ -138,7 +141,7 @@ def _sub_callback( self, consumer, partitions ): ofp = io.StringIO() ofp.write( "Consumer subscribed. Assigned partitions:\n" ) self._dump_assignments( ofp, self._get_positions( partitions ) ) - self.logger.info( ofp.getvalue() ) + self.logger.debug( ofp.getvalue() ) ofp.close() def poll_loop( self, handler=None, timeout=None, stopafter=datetime.timedelta(hours=1), @@ -150,35 +153,36 @@ def poll_loop( self, handler=None, timeout=None, stopafter=datetime.timedelta(ho done = False nsleeps = 0 while not done: - self.logger.info( f"Trying to consume {self.consume_nmsgs} messages " - f"with timeout {timeout} sec...\n" ) + self.logger.debug( f"Trying to consume {self.consume_nmsgs} messages " + f"with timeout {timeout} sec...\n" ) msgs = self.consumer.consume( self.consume_nmsgs, timeout=timeout ) if len(msgs) == 0: if ( stopafternsleeps is not None ) and ( nsleeps >= stopafternsleeps ): - self.logger.info( f"Stopping after {nsleeps} consecutive sleeps." ) + self.logger.debug( f"Stopping after {nsleeps} consecutive sleeps." ) done = True if stoponnomessages: - self.logger.info( f"No messages, ending poll_loop." ) + self.logger.debug( f"...no messages, ending poll_loop." ) done = True else: - self.logger.info( f"No messages, sleeping {self.nomsg_sleeptime} sec" ) + self.logger.debug( f"...no messages, sleeping {self.nomsg_sleeptime} sec" ) time.sleep( self.nomsg_sleeptime ) nsleeps += 1 else: + self.logger.debug( f"...got {len(msgs)} messages" ) nsleeps = 0 if handler is not None: handler( msgs ) else: self.default_handle_message_batch( msgs ) if (not done) and ( datetime.datetime.now() - t0 ) >= stopafter: - self.logger.info( f"Ending poll loop after {stopafter} seconds of polling." ) + self.logger.debug( f"Ending poll loop after {stopafter} seconds of polling." ) done = True def consume_one_message( self, timeout=None, handler=None ): """Both calls handler and returns a batch of 1 message.""" if timeout is None: timeout = self.consume_timeout - self.logger.info( f"Trying to consume one message with timeout {timeout} sec...\n" ) + self.logger.debug( f"Trying to consume one message with timeout {timeout} sec...\n" ) # msgs = self.consumer.consume( 1, timeout=self.consume_timeout ) msg = self.consumer.poll( timeout ) if msg is not None: @@ -189,7 +193,7 @@ def consume_one_message( self, timeout=None, handler=None ): return msg def default_handle_message_batch( self, msgs ): - self.logger.info( f'Handling {len(msgs)} messages' ) + self.logger.debug( f'Handling {len(msgs)} messages' ) timestamp_name = { confluent_kafka.TIMESTAMP_NOT_AVAILABLE: "TIMESTAMP_NOT_AVAILABLE", confluent_kafka.TIMESTAMP_CREATE_TIME: "TIMESTAMP_CREATE_TIME", confluent_kafka.TIMESTAMP_LOG_APPEND_TIME: "TIMESTAMP_LOG_APPEND_TIME" } @@ -209,9 +213,9 @@ def default_handle_message_batch( self, msgs ): # alert['brokerIngestTimestamp'] = alert['brokerIngestTimestamp'].timestamp() ofp.write( json.dumps( alert, indent=4, sort_keys=True, cls=DateTimeEncoder ) ) ofp.write( "\n" ) - self.logger.info( ofp.getvalue() ) + self.logger.debug( ofp.getvalue() ) ofp.close() self.tot_handled += len(msgs) - self.logger.info( f'Have handled {self.tot_handled} messages so far' ) + self.logger.debug( f'Have handled {self.tot_handled} messages so far' ) self.print_assignments() diff --git a/tom_desc/db/management/commands/_consumekafkamsgs.py b/tom_desc/db/management/commands/_consumekafkamsgs.py index b7795ae9..f2953236 100644 --- a/tom_desc/db/management/commands/_consumekafkamsgs.py +++ b/tom_desc/db/management/commands/_consumekafkamsgs.py @@ -9,13 +9,12 @@ import fastavro import confluent_kafka -_logger = logging.getLogger(__name__) -if not _logger.hasHandlers(): - _logout = logging.StreamHandler( sys.stderr ) - _logger.addHandler( _logout ) - _formatter = logging.Formatter( f'[msgconsumer - %(asctime)s - %(levelname)s] - %(message)s', - datefmt='%Y-%m-%d %H:%M:%S' ) - _logout.setFormatter( _formatter ) +_logger = logging.getLogger( "db/_consumekafkamsgs" ) +_logout = logging.StreamHandler( sys.stderr ) +_logger.addHandler( _logout ) +_formatter = logging.Formatter( f'[%(asctime)s - db/msgconsumer - %(levelname)s] - %(message)s', + datefmt='%Y-%m-%d %H:%M:%S' ) +_logout.setFormatter( _formatter ) _logger.setLevel( logging.INFO ) # _logger.setLevel( logging.DEBUG ) diff --git a/tom_desc/db/models.py b/tom_desc/db/models.py index d2e37fa4..e879ea12 100644 --- a/tom_desc/db/models.py +++ b/tom_desc/db/models.py @@ -131,16 +131,35 @@ def which_exist( cls, pks ): # This version uses postgres COPY and tries to be faster than mucking # about with ORM constructs. @classmethod - def bulk_insert_onlynew( cls, data, kwmap=None ): - """Insert a bunch of data into the database. Ignores records that conflict with things present. + def bulk_insert_or_upsert( cls, data, kwmap=None, upsert=False ): + """Try to efficiently insert a bunch of data into the database. - data can be: - * a dict of { kw: iterable }. All of the iterables must have the same length, - and must be something that pandas.DataFrame could handle - * a list of dicts. The keys in all dicts must be the same - data and kwmap will be run through data_to_createdict + Parameters + ---------- + data: dict or list + Data can be: + * a dict of { kw: iterable }. All of the iterables must + have the same length, and must be something that + pandas.DataFrame could handle + * a list of dicts. The keys in all dicts must be the same - Returns the number of rows actually inserted (which may be less than len(data)). + kwmap: dict, default None + A map of { dict_keyword : model_keyword } of conversions + from data to the class model. (See data_to_createdict().) + Defaults to the _create_kws_map property of the object. + + upsert: bool, default False + If False, then objects whose primary key is already in the + database will be ignored. If True, then objects whose + primary key is already in the database will be updated with + the values in dict. (SQL will have ON CONFLICT DO NOTHING + if False, ON CONFLICT DO UPDATE if True.) + + + Returns + ------- + inserted: int + The number of rows actually inserted (which may be less than len(data)). """ conn = None @@ -175,7 +194,8 @@ def bulk_insert_onlynew( cls, data, kwmap=None ): # columns = [ f'"{c}"' for c in df.columns.values ] columns = df.columns.values cursor.copy_from( strio, "bulk_upsert", columns=columns, size=1048576 ) - q = f"INSERT INTO {cls._meta.db_table} SELECT * FROM bulk_upsert ON CONFLICT DO NOTHING" + conflict = "DO UPDATE" if upsert else "DO NOTHING" + q = f"INSERT INTO {cls._meta.db_table} SELECT * FROM bulk_upsert ON CONFLICT {conflict}" cursor.execute( q ) ninserted = cursor.rowcount # I don't think I should have to do this; shouldn't it happen automatically diff --git a/tom_desc/elasticc2/management/commands/brokerpoll2.py b/tom_desc/elasticc2/management/commands/brokerpoll2.py index b6994a0d..e5dc3fa0 100644 --- a/tom_desc/elasticc2/management/commands/brokerpoll2.py +++ b/tom_desc/elasticc2/management/commands/brokerpoll2.py @@ -69,7 +69,7 @@ def add_arguments( self, parser ): parser.add_argument( '--pitt-project', default=None, help="Project name for PITT-Google" ) parser.add_argument( '--do-test', action='store_true', default=False, help="Poll from kafka-server:9092 (for testing purposes)" ) - parser.add_argument( '---test-topic', default='classifications', + parser.add_argument( '--test-topic', default='classifications', help="Topic to poll from on kafka-server:9092" ) parser.add_argument( '-g', '--grouptag', default=None, help="Tag to add to end of kafka group ids" ) parser.add_argument( '-r', '--reset', default=False, action='store_true', diff --git a/tom_desc/elasticc2/management/commands/load_snana_fits.py b/tom_desc/elasticc2/management/commands/load_snana_fits.py index c88b518c..b9b3caee 100644 --- a/tom_desc/elasticc2/management/commands/load_snana_fits.py +++ b/tom_desc/elasticc2/management/commands/load_snana_fits.py @@ -203,7 +203,7 @@ def load_one_file( self, headfile, photfile ): # row['isddf'] = True if self.really_do: - nobj = DiaObject.bulk_insert_onlynew( dict( head ) ) + nobj = DiaObject.bulk_insert_or_upsert( dict( head ) ) self.logger.info( f"PID {os.getpid()} loaded {nobj} objects from {headfile.name}" ) else: nobj = len(head) @@ -242,7 +242,7 @@ def load_one_file( self, headfile, photfile ): phot = phot[ phot['diaobject_id'] >= 0 ] if self.really_do: - nfrc = DiaForcedSource.bulk_insert_onlynew( phot ) + nfrc = DiaForcedSource.bulk_insert_or_upsert( phot ) self.logger.info( f"PID {os.getpid()} loaded {nfrc} forced photometry points from {photfile.name}" ) else: nfrc = len(phot) @@ -254,7 +254,7 @@ def load_one_file( self, headfile, photfile ): phot = phot[ ( phot['photflag'] & self.photflag_detect ) !=0 ] if self.really_do: - nsrc = DiaSource.bulk_insert_onlynew( phot ) + nsrc = DiaSource.bulk_insert_or_upsert( phot ) self.logger.info( f"PID {os.getpid()} loaded {nsrc} sources from {photfile.name}" ) else: nsrc = len(phot) @@ -266,7 +266,7 @@ def load_one_file( self, headfile, photfile ): 'diasource_id': phot[ 'diasource_id' ], 'diaobject_id': phot[ 'diaobject_id' ] } if self.really_do: - nalrt = Alert.bulk_insert_onlynew( alerts ) + nalrt = Alert.bulk_insert_or_upsert( alerts ) self.logger.info( f"PID {os.getpid()} loaded {nalrt} alerts" ) else: nalrt = len(alerts['alert_id']) diff --git a/tom_desc/elasticc2/management/commands/send_elasticc2_alerts.py b/tom_desc/elasticc2/management/commands/send_elasticc2_alerts.py index d0faacfe..ae8f36db 100644 --- a/tom_desc/elasticc2/management/commands/send_elasticc2_alerts.py +++ b/tom_desc/elasticc2/management/commands/send_elasticc2_alerts.py @@ -43,7 +43,7 @@ def __init__( self, *args, **kwargs ): if not self.logger.hasHandlers(): logout = logging.StreamHandler( sys.stderr ) self.logger.addHandler( logout ) - formatter = logging.Formatter( f'[%(asctime)s - %(levelname)s] - %(message)s', + formatter = logging.Formatter( f'[%(asctime)s - e2alert - %(levelname)s] - %(message)s', datefmt='%Y-%m-%d %H:%M:%S' ) logout.setFormatter( formatter ) self.logger.setLevel( logging.INFO ) diff --git a/tom_desc/elasticc2/models.py b/tom_desc/elasticc2/models.py index 9c5fc229..1a297e96 100644 --- a/tom_desc/elasticc2/models.py +++ b/tom_desc/elasticc2/models.py @@ -54,7 +54,7 @@ # Link to tom targets import tom_targets.models -_logger = logging.getLogger(__name__) +_logger = logging.getLogger( "elasticc2/models" ) _logout = logging.StreamHandler( sys.stderr ) _formatter = logging.Formatter( f'[%(asctime)s - %(levelname)s] - %(message)s' ) _logout.setFormatter( _formatter ) diff --git a/tom_desc/elasticc2/views.py b/tom_desc/elasticc2/views.py index 0e417912..ca7ff1c6 100644 --- a/tom_desc/elasticc2/views.py +++ b/tom_desc/elasticc2/views.py @@ -39,7 +39,7 @@ # doesn't seem to have the formatting built in; # I guess djano makes its own formatting instead # of using logging's. Sigh. -_logger = logging.getLogger(__name__) +_logger = logging.getLogger( "elasticc2/views" ) _logout = logging.StreamHandler( sys.stderr ) _formatter = logging.Formatter( f'[%(asctime)s - %(levelname)s] - %(message)s' ) _logout.setFormatter( _formatter ) diff --git a/tom_desc/fastdb_dev/management/commands/fastdb_dev_brokerpoll.py b/tom_desc/fastdb_dev/management/commands/fastdb_dev_brokerpoll.py index 729583e5..72bb6267 100644 --- a/tom_desc/fastdb_dev/management/commands/fastdb_dev_brokerpoll.py +++ b/tom_desc/fastdb_dev/management/commands/fastdb_dev_brokerpoll.py @@ -69,7 +69,7 @@ def add_arguments( self, parser ): parser.add_argument( '--pitt-project', default=None, help="Project name for PITT-Google" ) parser.add_argument( '--do-test', action='store_true', default=False, help="Poll from kafka-server:9092 (for testing purposes)" ) - parser.add_argument( '---test-topic', default='classifications', + parser.add_argument( '--test-topic', default='classifications', help="Topic to poll from on kafka-server:9092" ) parser.add_argument( '-g', '--grouptag', default=None, help="Tag to add to end of kafka group ids" ) parser.add_argument( '-r', '--reset', default=False, action='store_true', diff --git a/tom_desc/tests/README.md b/tom_desc/tests/README.md new file mode 100644 index 00000000..b4c3dc74 --- /dev/null +++ b/tom_desc/tests/README.md @@ -0,0 +1,3 @@ +The tests for the DESC TOM are found in ../../tests + +This directory holds a django application named "tests" that we don't actually use. From df8b2c0e290cbcdc6886dc6fb4af1b690e04fa5b Mon Sep 17 00:00:00 2001 From: Rob Knop Date: Wed, 20 Nov 2024 12:36:52 -0800 Subject: [PATCH 2/9] Still trying to deliver on what I promised in the last commit --- tests/alertcyclefixtures.py | 58 ++++++++++++------ tests/conftest.py | 13 ++++- tests/docker-compose.yaml | 84 --------------------------- tests/test_elasticc2_alertcycle.py | 21 ++----- tests/test_elasticc2_spectrumcycle.py | 4 +- tests/test_fastdb_dev_alertcycle.py | 30 +++------- 6 files changed, 67 insertions(+), 143 deletions(-) diff --git a/tests/alertcyclefixtures.py b/tests/alertcyclefixtures.py index eed725d6..b977e811 100644 --- a/tests/alertcyclefixtures.py +++ b/tests/alertcyclefixtures.py @@ -71,7 +71,8 @@ # they could. In fact, they deliberately choose not to clean up, # so that the database will be in the state it is at the end of the # full alert cycle; the alert_cycle_complete fixture then detects that -# and runs the slow fixtures or not as necessary. +# and runs the slow fixtures or not as necessary. (That last fixture +# then actually cleans up the database.) # Any tests that use these fixtures and are going to test actual numbers # in the database should only depend on alert_cycle_complete. Once all @@ -208,7 +209,6 @@ def alerts_300days( elasticc2_ppdb, topic_barf ): @pytest.fixture( scope="session" ) def classifications_300days_exist( alerts_300days, topic_barf, fakebroker ): - counter = AlertCounter() consumer = MsgConsumer( 'kafka-server:9092', 'test_classifications_exist', @@ -370,12 +370,20 @@ def update_fastdb_dev_diasource_300days( classifications_300days_fastdb_dev_inge yield True @pytest.fixture( scope="session" ) -def alerts_100daysmore( alerts_300days, topic_barf, fakebroker ): +def alerts_100daysmore( alerts_300days, topic_barf, fakebroker, + update_elasticc2_diasource_300days, + update_fastdb_dev_diasource_300days ): # This will send alerts up through mjd 60676. Why not 60678, since the previous # sent through 60578? There were no alerts between 60675 and 60679, so the last # alert sent will have been a source from mjd 60675. That's what the 100 days # are added to. # This is an additional 105 alerts, for a total of 650 (coming from 131 objects). + # (Note that we have to make sure the udpate_*_diasource_300days + # fixtures have run before this fixture runs, because this fixture + # is going to add more alerts, leading the running fakebroker to + # add more classifications, and then there will be more + # classifications sitting on the kafka server than those fixtures + # (and their prerequisites) are expecting.) result = subprocess.run( [ "python", "manage.py", "send_elasticc2_alerts", "-a", "100", "-k", "kafka-server:9092", @@ -597,25 +605,31 @@ def random_broker_classifications(): @pytest.fixture( scope="session" ) -def alert_cycle_complete( request, tomclient, mongoclient ): - res = tomclient.post( 'db/runsqlquery/', - json={ 'query': 'SELECT COUNT(*) AS count FROM elasticc2_brokermessage' } ) - rows = res.json()[ 'rows' ] - if rows[0]['count'] == 0: - request.getfixturevalue( "update_elasticc2_diasource_100daysmore" ) - request.getfixturevalue( "update_fastdb_dev_diasource_100daysmore" ) - request.getfixturevalue( "api_classify_existing_alerts" ) +def alert_cycle_complete( # request, tomclient, mongoadmin ): + mongoadmin, + update_elasticc2_diasource_100daysmore, + update_fastdb_dev_diasource_100daysmore, + api_classify_existing_alerts ): + # res = tomclient.post( 'db/runsqlquery/', + # json={ 'query': 'SELECT COUNT(*) AS count FROM elasticc2_brokermessage' } ) + # rows = res.json()[ 'rows' ] + # if rows[0]['count'] == 0: + # request.getfixturevalue( "update_elasticc2_diasource_100daysmore" ) + # request.getfixturevalue( "update_fastdb_dev_diasource_100daysmore" ) + # request.getfixturevalue( "api_classify_existing_alerts" ) yield True # Clean up the database. # This is potentially antisocial, since other fixtures may have # added things to these tables. However, since this is as session - # fixture, it shouldn't be too bad. But, in any event, there are - # problems running this fixture with any tests other than those in - # test_elasticc2_alertcycle and test_fastdb_dev_alertcycle that - # want to look at any of these tables; see top of file. + # fixture, it shouldn't be too bad. In any event, there are other + # problems running this file's fixtures with any tests other than + # those in test_elasticc2_alertcycle and + # test_fastdb_dev_alertcycle that want to look at any of these + # tables; see top of file. + _logger.info( "Cleaning up alertcycle database entries" ) elasticc2.models.BrokerMessage.objects.all().delete() elasticc2.models.BrokerClassifier.objects.all().delete() elasticc2.models.BrokerSourceIds.objects.all().delete() @@ -624,9 +638,17 @@ def alert_cycle_complete( request, tomclient, mongoclient ): elasticc2.models.DiaForcedSource.objects.all().delete() elasticc2.models.DiaSource.objects.all().delete() elasticc2.models.DiaObject.objects.all().delete() - - db = mongoclient.alerts - + fastdb_dev.models.BrokerClassification.objects.all().delete() + fastdb_dev.models.BrokerClassifier.objects.all().delete() + fastdb_dev.models.DiaForcedSource.objects.all().delete() + fastdb_dev.models.DiaSource.objects.all().delete() + fastdb_dev.models.DiaObject.objects.all().delete() + fastdb_dev.models.DStoPVtoSS.objects.all().delete() + fastdb_dev.models.DFStoPVtoSS.objects.all().delete() + fastdb_dev.models.Snapshots.objects.all().delete() + fastdb_dev.models.ProcessingVersions.objects.all().delete() + + db = mongoadmin.alerts if 'fakebroker' in db.list_collection_names(): coll = db.fakebroker coll.drop() diff --git a/tests/conftest.py b/tests/conftest.py index 0c763eda..affcbdeb 100644 --- a/tests/conftest.py +++ b/tests/conftest.py @@ -10,6 +10,7 @@ from pymongo import MongoClient +# Make sure the django environment is fully set up sys.path.insert( 0, "/tom_desc" ) os.environ["DJANGO_SETTINGS_MODULE"] = "tom_desc.settings" import django @@ -18,7 +19,7 @@ import elasticc2.models from tom_client import TomClient -# Additional fixtures +# Additional fixtures in other files sys.path.insert( 0, os.getenv("PWD") ) pytest_plugins = [ 'alertcyclefixtures' ] @@ -35,6 +36,16 @@ def mongoclient(): client = MongoClient( f"mongodb://{username}:{password}@{host}:27017/?authSource=alerts" ) return client + +@pytest.fixture( scope="session" ) +def mongoadmin(): + host = os.getenv( 'MONGOHOST' ) + username = os.getenv( 'MONGODB_ADMIN' ) + password = os.getenv( 'MONGODB_ADMIN_PASSWORD' ) + client = MongoClient( f"mongodb://{username}:{password}@{host}:27017/" ) + return client + + @pytest.fixture( scope="session" ) def apibroker_client(): return TomClient( "http://tom:8080", username="apibroker", password="testing" ) diff --git a/tests/docker-compose.yaml b/tests/docker-compose.yaml index 329ecd74..2bbb865c 100644 --- a/tests/docker-compose.yaml +++ b/tests/docker-compose.yaml @@ -24,15 +24,6 @@ services: retries: 5 entrypoint: [ "bin/kafka-server-start.sh", "config/server.properties" ] - # fakebroker: - # depends_on: - # kafka-server: - # condition: service_healthy - # image: ${TOM_DOCKER_ARCHIVE:-ghcr.io/lsstdesc/tom_desc}/fakebroker:${TOM_DOCKER_VERSION:-latest} - # build: - # context: . - # dockerfile: Dockerfile.fakebroker - postgres: image: ${TOM_DOCKER_ARCHIVE:-ghcr.io/lsstdesc/tom_desc}/tom-postgres:${TOM_DOCKER_VERSION:-latest} build: @@ -154,81 +145,6 @@ services: MONGODB_ALERT_READER_PASSWORD: reader - # brokerpoll: - # depends_on: - # createdb: - # condition: service_completed_successfully - # tom: - # condition: service_started - # # fakebroker: - # # condition: service_started - # image: ${TOM_DOCKER_ARCHIVE:-ghcr.io/lsstdesc/tom_desc}/tom_desc_bindmount:${TOM_DOCKER_VERSION:-latest} - # build: - # context: ../ - # dockerfile: docker_server/Dockerfile - # target: tom-server-bindmount - # volumes: - # - type: bind - # source: ../secrets - # target: /secrets - # - type: bind - # source: ../tom_desc - # target: /tom_desc - # - type: volume - # source: logs - # target: /logs - # environment: - # LOGDIR: /logs - # DB_NAME: tom_desc - # DB_HOST: postgres - # DB_USER: postgres - # DB_PASS: fragile - # DB_PORT: 5432 - # entrypoint: [ "python", "manage.py", "brokerpoll2", "--do-test", "--grouptag", "elasticc2" ] - - - # brokerpoll_fastdb_dev: - # depends_on: - # createdb: - # condition: service_completed_successfully - # tom: - # condition: service_started - # kafka-server: - # condition: service_healthy - # # fakebroker: - # # condition: service_started - # image: ${TOM_DOCKER_ARCHIVE:-ghcr.io/lsstdesc/tom_desc}/tom_desc_bindmount:${TOM_DOCKER_VERSION:-latest} - # build: - # context: ../ - # dockerfile: docker_server/Dockerfile - # target: tom-server-bindmount - # volumes: - # - type: bind - # source: ../secrets - # target: /secrets - # - type: bind - # source: ../tom_desc - # target: /tom_desc - # - type: volume - # source: logs - # target: /logs - # environment: - # LOGDIR: /logs - # MONGOHOST: mongodb - # MONGODB_ADMIN: mongodb_admin - # MONGODB_ADMIN_PASSWORD: fragile - # MONGODB_ALERT_WRITER: mongodb_alert_writer - # MONGODB_ALERT_WRITER_PASSWORD: writer - # MONGODB_ALERT_READER: mongdb_alert_reader - # MONGODB_ALERT_READER_PASSWORD: reader - # DB_NAME: tom_desc - # DB_HOST: postgres - # DB_USER: postgres - # DB_PASS: fragile - # DB_PORT: 5432 - # entrypoint: [ "python", "manage.py", "fastdb_dev_brokerpoll", "--do-test", "--grouptag", "fastdb_dev" ] - - # Thought required: want to make this dependent on # createdb completed successfully, or just on the # database servers being up? The advantage of the latter diff --git a/tests/test_elasticc2_alertcycle.py b/tests/test_elasticc2_alertcycle.py index 6ff0c9f5..bd9b5b8d 100644 --- a/tests/test_elasticc2_alertcycle.py +++ b/tests/test_elasticc2_alertcycle.py @@ -1,14 +1,3 @@ -# WARNING -- if you run both this test and test_fastdb_dev_alertcycle -# within the same docker compose session, but different pytest -# sessions, one will fail. For the reason, see the comments in -# alertcyclefixtures.py. (Basically, the first one you run will load -# up both databases, so early tests that expect not-fully-loaded -# databases will fail.) -# -# Both should all pass if you run them both at once, i.e. -# -# pytest -v test_elasticc2_alertcycle.py test_fastdb_dev_alertcycle.py - import os import sys import datetime @@ -18,8 +7,6 @@ import elasticc2.models -# from msgconsumer import MsgConsumer - # NOTE -- many of the actual tests are run in the fixtures rather than # the tests below. See comments in alercyclefixtures.py for the reason for # this. @@ -34,8 +21,8 @@ def test_ppdb_loaded( self, elasticc2_ppdb ): assert elasticc2.models.DiaObjectTruth.objects.count() == elasticc2.models.PPDBDiaObject.objects.count() - def handle_test_send_alerts( self, msgs ): - self._test_send_alerts_count += len(msgs) + # def handle_test_send_alerts( self, msgs ): + # self._test_send_alerts_count += len(msgs) def test_send_alerts( self, alerts_300days ): @@ -101,3 +88,7 @@ def test_apibroker_existingsources( self, api_classify_existing_alerts ): assert onemsg.msghdrtimestamp - onemsg.brokeringesttimestamp < datetime.timedelta(seconds=5) assert onemsg.descingesttimestamp - onemsg.msghdrtimestamp < datetime.timedelta(seconds=5) + def test_cleanup( self, alert_cycle_complete ): + # This is just here to make sure that the cleanup in the + # alert_cycle_complete session fixture gets run. + pass diff --git a/tests/test_elasticc2_spectrumcycle.py b/tests/test_elasticc2_spectrumcycle.py index b0a87236..f258d4fa 100644 --- a/tests/test_elasticc2_spectrumcycle.py +++ b/tests/test_elasticc2_spectrumcycle.py @@ -19,8 +19,6 @@ import elasticc2.models from tom_client import TomClient -from alertcyclefixtures import * - # I'm abusing pytest here by having tests depend on previous # tests, rather than making all dependencies fixtures. # I may fix that at some point. @@ -28,7 +26,7 @@ class TestSpectrumCycle: @pytest.fixture( scope='class' ) - def ask_for_spectra( self, update_diasource_100daysmore, tomclient ): + def ask_for_spectra( self, alert_cycle_complete, tomclient ): objs = elasticc2.models.DiaObject.objects.all().order_by("diaobject_id") objs = list( objs ) diff --git a/tests/test_fastdb_dev_alertcycle.py b/tests/test_fastdb_dev_alertcycle.py index 97e56d75..1ba3c867 100644 --- a/tests/test_fastdb_dev_alertcycle.py +++ b/tests/test_fastdb_dev_alertcycle.py @@ -1,14 +1,3 @@ -# WARNING -- if you run both this test and test_elasticc2_alertcycle -# within the same docker compose session, but different pytest -# sessions, one will fail. For the reason, see the comments in -# alertcyclefixtures.py. (Basically, the first one you run will load -# up both databases, so early tests that expect not-fully-loaded -# databases will fail.) -# -# Both should all pass if you run them both at once, i.e. -# -# pytest -v test_elasticc2_alertcycle.py test_fastdb_dev_alertcycle.py - import os import sys import datetime @@ -18,15 +7,6 @@ import elasticc2.models -from testmsgconsumer import MsgConsumer - -# pytest is mysterious. I tried importing just the fixtures I was using -# form alertcyclefixtures, but the a fixture there that used another -# fixture from alertcyclefixtures that I did *not* import here couldn't -# find that other fixture. So, I import *, and use an __all__ in -# alertcyclefixtures. -from alertcyclefixtures import * - # NOTE -- many of the actual tests are run in the fixtures rather than # the tests below. See comments in alercyclefixtures.py for the reason for # this. @@ -41,8 +21,8 @@ def test_ppdb_loaded( self, elasticc2_ppdb ): assert elasticc2.models.DiaObjectTruth.objects.count() == elasticc2.models.PPDBDiaObject.objects.count() - def handle_test_send_alerts( self, msgs ): - self._test_send_alerts_count += len(msgs) + # def handle_test_send_alerts( self, msgs ): + # self._test_send_alerts_count += len(msgs) def test_send_alerts( self, alerts_300days ): @@ -67,3 +47,9 @@ def test_100moredays_classifications_ingested( self, classifications_100daysmore def test_100moredays_sources_updated( self, update_fastdb_dev_diasource_100daysmore ): assert update_fastdb_dev_diasource_100daysmore + + + def test_cleanup( self, alert_cycle_complete ): + # This is just here to make sure that the cleanup in the + # alert_cycle_complete session fixture gets run. + pass From 76b6eeb5d251048640c3ffb70096beaf1ebed2cc Mon Sep 17 00:00:00 2001 From: Rob Knop Date: Wed, 20 Nov 2024 15:08:55 -0800 Subject: [PATCH 3/9] remove cassandra references, they're all obsolete. It's all a mess. --- tests/alertcyclefixtures.py | 45 +- ...rt_test.py => reconstruct_alert_timing.py} | 2 + tests/stress_test_brokermessage.py | 96 +--- tests/test_db_createable.py | 3 + tests/test_db_sqlquery.py | 8 +- tests/test_elasticc2_alertcycle.py | 16 +- tests/test_elasticc2_cassandra.py | 86 ---- tests/test_elasticc2_dump_alert_tar.py | 2 - tests/test_elasticc2_load_snana_fits.py | 14 +- tests/test_elasticc2_models.py | 34 +- tests/test_elasticc2_spectrumcycle.py | 36 +- tests/test_fastdb_dev_alertcycle.py | 12 +- tom_desc/db/models.py | 5 +- .../management/commands/brokerpoll2.py | 11 +- .../gen_elasticc2_brokercompleteness.py | 1 - .../gen_elasticc2_brokerdelaygraphs.py | 415 ------------------ .../gen_elasticc2_brokerdelaygraphs_pg.py | 1 - tom_desc/elasticc2/models.py | 202 --------- tom_desc/elasticc2/views.py | 2 +- .../commands/fastdb_dev_brokerpoll.py | 11 +- tom_desc/tom_desc/settings.py | 3 - 21 files changed, 90 insertions(+), 915 deletions(-) rename tests/{reconstruct_alert_test.py => reconstruct_alert_timing.py} (93%) create mode 100644 tests/test_db_createable.py delete mode 100644 tests/test_elasticc2_cassandra.py delete mode 100644 tom_desc/elasticc2/management/commands/gen_elasticc2_brokerdelaygraphs.py diff --git a/tests/alertcyclefixtures.py b/tests/alertcyclefixtures.py index b977e811..014699f8 100644 --- a/tests/alertcyclefixtures.py +++ b/tests/alertcyclefixtures.py @@ -230,9 +230,8 @@ def classifications_300days_exist( alerts_300days, topic_barf, fakebroker ): yield True - @pytest.fixture( scope="session" ) -def classifications_300days_elasticc2_ingested( classifications_300days_exist, brokerpoll_elasticc2 ): +def classifications_300days_ingested( classifications_300days_exist, brokerpoll_elasticc2, mongoclient ): # Have to have an additional sleep after the classifications exist, # because brokerpoll itself has a 10s sleep loop time.sleep( 11 ) @@ -242,6 +241,8 @@ def classifications_300days_elasticc2_ingested( classifications_300days_exist, b # later fixtures have run, the tests below would fail, and these # fixtures may be used in more than one test. + # elasticc2 + brkmsg = elasticc2.models.BrokerMessage cfer = elasticc2.models.BrokerClassifier bsid = elasticc2.models.BrokerSourceIds @@ -258,26 +259,10 @@ def classifications_300days_elasticc2_ingested( classifications_300days_exist, b # 545 from NugentClassifier plus 20*545 for RandomSNType assert numprobs == 11445 - # TODO : check that the data is identical for - # corresponding entries in the two cassbroker - # tables - assert ( set( [ i.classifiername for i in cfer.objects.all() ] ) == set( [ "NugentClassifier", "RandomSNType" ] ) ) - yield True - - -@pytest.fixture( scope="session" ) -def classifications_300days_fastdb_dev_ingested( classifications_300days_exist, brokerpoll_fastdb_dev, mongoclient ): - # Have to have an additional sleep after the classifications exist, - # because brokerpoll itself has a 10s sleep loop - time.sleep( 11 ) - - # Have to have these tests here rather than in the actual test_* - # file because I can't clean up, and there is hysteresis. Once - # later fixtures have run, the tests below would fail, and these - # fixtures may be used in more than one test. + # fastdb_dev db = mongoclient.alerts @@ -300,8 +285,9 @@ def classifications_300days_fastdb_dev_ingested( classifications_300days_exist, yield True + @pytest.fixture( scope="session" ) -def update_elasticc2_diasource_300days( classifications_300days_elasticc2_ingested ): +def update_elasticc2_diasource_300days( classifications_300days_ingested ): result = subprocess.run( [ "python", "manage.py", "update_elasticc2_sources" ], cwd="/tom_desc", capture_output=True ) assert result.returncode == 0 @@ -326,7 +312,7 @@ def update_elasticc2_diasource_300days( classifications_300days_elasticc2_ingest @pytest.fixture( scope="session" ) -def update_fastdb_dev_diasource_300days( classifications_300days_fastdb_dev_ingested ): +def update_fastdb_dev_diasource_300days( classifications_300days_ingested ): result = subprocess.run( [ "python", "manage.py", "load_fastdb", "--pv", "test_pv", "--snapshot", "test_ss", "--tag", "test_ss_tag", @@ -402,12 +388,14 @@ def alerts_100daysmore( alerts_300days, topic_barf, fakebroker, # Same issue as alerts_300days about not cleaning up @pytest.fixture( scope="session" ) -def classifications_100daysmore_elasticc2_ingested( alerts_100daysmore, brokerpoll_elasticc2 ): +def classifications_100daysmore_ingested( alerts_100daysmore, brokerpoll_elasticc2, mongoclient ): # This time we need to allow for both the 10s sleep cycle timeout of # brokerpoll and fakebroker (since we're not checking # classifications exist separately from ingested) time.sleep( 22 ) + # elasticc2 + # Tests here because of hysteresis brkmsg = elasticc2.models.BrokerMessage @@ -428,17 +416,8 @@ def classifications_100daysmore_elasticc2_ingested( alerts_100daysmore, brokerpo assert ( set( [ i.classifiername for i in cfer.objects.all() ] ) == set( [ "NugentClassifier", "RandomSNType" ] ) ) - yield True - -@pytest.fixture( scope="session" ) -def classifications_100daysmore_fastdb_dev_ingested( alerts_100daysmore, brokerpoll_fastdb_dev, mongoclient ): - # This time we need to allow for both the 10s sleep cycle timeout of - # brokerpoll and fakebroker (since we're not checking - # classifications exist separately from ingested) - time.sleep( 22 ) - - # Tests here because of hysteresis + # fastdb_dev db = mongoclient.alerts @@ -463,7 +442,7 @@ def classifications_100daysmore_fastdb_dev_ingested( alerts_100daysmore, brokerp @pytest.fixture( scope="session" ) -def update_elasticc2_diasource_100daysmore( classifications_100daysmore_elasticc2_ingested ): +def update_elasticc2_diasource_100daysmore( classifications_100daysmore_ingested ): result = subprocess.run( [ "python", "manage.py", "update_elasticc2_sources" ], cwd="/tom_desc", capture_output=True ) assert result.returncode == 0 diff --git a/tests/reconstruct_alert_test.py b/tests/reconstruct_alert_timing.py similarity index 93% rename from tests/reconstruct_alert_test.py rename to tests/reconstruct_alert_timing.py index 595d3202..0b8f8f51 100644 --- a/tests/reconstruct_alert_test.py +++ b/tests/reconstruct_alert_timing.py @@ -1,3 +1,5 @@ +# Intended to be run with pytest, but not automatically + import sys import time import logging diff --git a/tests/stress_test_brokermessage.py b/tests/stress_test_brokermessage.py index b1f35d10..14efd9ff 100644 --- a/tests/stress_test_brokermessage.py +++ b/tests/stress_test_brokermessage.py @@ -12,9 +12,7 @@ import django.db -from elasticc2.models import ( CassBrokerMessageBySource, - CassBrokerMessageByTime, - BrokerSourceIds, +from elasticc2.models import ( BrokerSourceIds, BrokerClassifier, BrokerMessage, PPDBDiaObject, @@ -136,98 +134,6 @@ def lots_of_alerts(): cur.execute( "TRUNCATE TABLE elasticc2_ppdbalert" ) -class TestCassandra: - - @pytest.fixture(scope='class') - def load_cass( self, lots_of_alerts ): - tinit = time.perf_counter() - t0 = tinit - n = 0 - delta = 2000 - printevery = 20000 - nextprint = printevery - - while n < len(lots_of_alerts): - n1 = n + delta if n + delta < len(lots_of_alerts) else len(lots_of_alerts) - CassBrokerMessageBySource.load_batch( lots_of_alerts[n:n1] ) - n = n1 - - if n >= nextprint: - t1 = time.perf_counter() - _logger.info( f"Cass: loaded {n} of {len(lots_of_alerts)} alerts " - f"in {t1-tinit:.2f} sec (current rate {printevery/(t1-t0):.0f} s⁻¹)" ) - nextprint += printevery - t0 = t1 - - t1 = time.perf_counter() - _logger.info( f"Cass: done loading {len(lots_of_alerts)} alerts in {t1-tinit:.2f} sec " - f"({len(lots_of_alerts)/(t1-tinit):.0f} s⁻¹)" ) - - yield lots_of_alerts - - cur = django.db.connection.cursor() - cur.execute( "TRUNCATE TABLE elasticc2_brokersourceids" ) - cur.execute( "TRUNCATE TABLE elasticc2_brokerclassifier" ) - casscur = django.db.connections['cassandra'].connection.cursor() - casscur.execute( "TRUNCATE TABLE tom_desc.cass_broker_message_by_time" ) - casscur.execute( "TRUNCATE TABLE tom_desc.cass_broker_message_by_source" ) - - def counter( self, rows ): - self.tot += len( rows ) - if self.future.has_more_pages: - self.future.start_fetching_next_page() - else: - self.done.set() - - def err( self, exc ): - self.error = exc - self.done.set() - - def test_cass( self, load_cass ): - # This doesn't work. I think we're getting paged or - # something. The django cassandra interface - # dissapoints me - # bysrc = CassBrokerMessageBySource.objects.all() - # assert len(bysrc) == len(load_cass) - # bytim = CassBrokerMessageByTime.objects.all() - # assert len(bytim) == len(load_cass ) - - casssession = django.db.connections['cassandra'].connection.session - - self.tot = 0 - self.error = None - self.done = threading.Event() - self.future = casssession.execute_async( "SELECT * FROM tom_desc.cass_broker_message_by_source" ) - self.future.add_callbacks( callback=self.counter, errback=self.err ) - self.done.wait() - if self.error: - raise self.error - assert self.tot == len(load_cass) - - self.tot = 0 - self.error = None - self.done = threading.Event() - self.future = casssession.execute_async( "SELECT * FROM tom_desc.cass_broker_message_by_time" ) - self.future.add_callbacks( callback=self.counter, errback=self.err ) - self.done.wait() - if self.error: - raise self.error - assert self.tot == len(load_cass) - - def test_gen_brokerdelay( self, load_cass ): - t0 = ( datetime.datetime.now( tz=pytz.utc ) + datetime.timedelta( days=-1 ) ).date().isoformat() - t1 = ( datetime.datetime.now( tz=pytz.utc ) + datetime.timedelta( days=2 ) ).date().isoformat() - dt = 1 - - tstart = time.perf_counter() - res = subprocess.run( [ "python", "manage.py", "gen_elasticc2_brokerdelaygraphs", - "--t0", t0, "--t1", t1, "--dt", str(dt) ], - cwd="/tom_desc", capture_output=True ) - assert res.returncode == 0 - tend = time.perf_counter() - _logger.info( f"gen_elasticc2_brokerdelaygraphs took {tend-tstart:.1f} sec" ) - - class TestPostgres: @pytest.fixture(scope='class') diff --git a/tests/test_db_createable.py b/tests/test_db_createable.py new file mode 100644 index 00000000..49c44c2b --- /dev/null +++ b/tests/test_db_createable.py @@ -0,0 +1,3 @@ +# TODO +# +# Write tests for db/models.py::Creatable diff --git a/tests/test_db_sqlquery.py b/tests/test_db_sqlquery.py index dce57f63..88593aa9 100644 --- a/tests/test_db_sqlquery.py +++ b/tests/test_db_sqlquery.py @@ -18,11 +18,11 @@ import db.models -# Use the last alertcycle fixture api_classify_existing_alerts to get +# Use the last alertcycle fixture api_alertcycle_complete to get # the database into a known state. This is kind of slow, due to all the -# delays in the various polling servers, so it means a ~1 min delay on -# the tests here actually running, but what can you do. -from alertcyclefixtures import * +# delays in the various polling servers, so it means a few min delay on +# the tests here actually running, but what can you do. (At least it's +# a session fixture.) class TestSQLWebInterface: diff --git a/tests/test_elasticc2_alertcycle.py b/tests/test_elasticc2_alertcycle.py index bd9b5b8d..31f70685 100644 --- a/tests/test_elasticc2_alertcycle.py +++ b/tests/test_elasticc2_alertcycle.py @@ -21,10 +21,6 @@ def test_ppdb_loaded( self, elasticc2_ppdb ): assert elasticc2.models.DiaObjectTruth.objects.count() == elasticc2.models.PPDBDiaObject.objects.count() - # def handle_test_send_alerts( self, msgs ): - # self._test_send_alerts_count += len(msgs) - - def test_send_alerts( self, alerts_300days ): assert alerts_300days @@ -33,16 +29,16 @@ def test_classifications_exist( self, classifications_300days_exist ): assert classifications_300days_exist - def test_classifications_ingested( self, classifications_300days_elasticc2_ingested ): - assert classifications_300days_elasticc2_ingested + def test_classifications_ingested( self, classifications_300days_ingested ): + assert classifications_300days_ingested def test_sources_updated( self, update_elasticc2_diasource_300days ): assert update_elasticc2_diasource_300days - def test_100moredays_classifications_ingested( self, classifications_100daysmore_elasticc2_ingested ): - assert classifications_100daysmore_elasticc2_ingested + def test_100moredays_classifications_ingested( self, classifications_100daysmore_ingested ): + assert classifications_100daysmore_ingested def test_100moredays_sources_updated( self, update_elasticc2_diasource_100daysmore ): @@ -51,8 +47,6 @@ def test_100moredays_sources_updated( self, update_elasticc2_diasource_100daysmo def test_apibroker_existingsources( self, api_classify_existing_alerts ): cfer = elasticc2.models.BrokerClassifier - # brkmsgsrc = elasticc2.models.CassBrokerMessageBySource - # brkmsgtim = elasticc2.models.CassBrokerMessageByTime brkmsg = elasticc2.models.BrokerMessage assert cfer.objects.count() == 3 @@ -66,7 +60,7 @@ def test_apibroker_existingsources( self, api_classify_existing_alerts ): # The test api broker will add 1300 probabilities # (since it assignes probabilities to two classes). # Add that to the 13650 probabilities that - # are in fixture classifications_100daysmore_elasticc2_ingested, + # are in fixture classifications_100daysmore_ingested, # and you get 14950 for msg in brkmsg.objects.all(): assert len(msg.classid) == len(msg.probability) diff --git a/tests/test_elasticc2_cassandra.py b/tests/test_elasticc2_cassandra.py deleted file mode 100644 index c20569f1..00000000 --- a/tests/test_elasticc2_cassandra.py +++ /dev/null @@ -1,86 +0,0 @@ -import pytest -import os -import sys -import random -import datetime -import pytz - -# The next 4 lines are necessary to get access to -# django models without doing python manage.py shell -sys.path.insert( 0, "/tom_desc" ) -os.environ["DJANGO_SETTINGS_MODULE"] = "tom_desc.settings" -import django -django.setup() - -import django.db - -import elasticc2.models as m - -class TestElasticc2Cassandra: - - #TODO lots more - - @pytest.fixture(scope='class') - def load_some( self ): - brokers = { - 'test1': { - '1.0': { - 'classifiertest1': [ '1.0' ], - 'classifiertest2': [ '1.0' ] - } - }, - 'test2': { - '3.5': { - 'testing1': [ '42' ], - 'testing2': [ '23' ] - } - } - } - - minsrc = 10 - maxsrc = 20 - mincls = 1 - maxcls = 20 - - msgs = [] - classifier_id = 0 - for brokername, brokerspec in brokers.items(): - for brokerversion, versionspec in brokerspec.items(): - for classifiername, clsspec in versionspec.items(): - for classifierparams in clsspec: - nsrcs = random.randint( minsrc, maxsrc ) - for src in range(nsrcs): - ncls = random.randint( mincls, maxcls ) - probleft = 1.0 - classes = [] - probs = [] - for cls in range( ncls ): - classes.append( cls ) - prob = random.random() * probleft - probleft -= prob - probs.append( prob ) - classes.append( ncls ) - probs.append( probleft ) - - msg = m.CassBrokerMessage( sourceid=src, - classifier_id=classifier_id, - alertid=src, - elasticcpublishtimestmp=datetime.datetime.now( tz=pytz.utc ), - brokeringesttimestamp=datetime.datetime.now( tz=pytz.utc ), - classid=classes, - probability=probs ) - msgs.append( msg ) - - classifier_id += 1 - - m.CassBrokerMessage.objects.bulk_create( msgs ) - - yield true - - conn = django.db.connections['cassandra'].cursor().connection - conn.execute( "TRUNCATE TABLE tom_desc.cass_broker_message" ) - - @pytest.mark.xfail( reason="Fix fixture to not use no-longer-existing bulk_create" ) - def test_some_loaded( self, load_some ): - import pdb; pdb.set_trace() - assert m.CassBrokerMessage.objects.count() > 0 diff --git a/tests/test_elasticc2_dump_alert_tar.py b/tests/test_elasticc2_dump_alert_tar.py index 33f56730..c15e10b1 100644 --- a/tests/test_elasticc2_dump_alert_tar.py +++ b/tests/test_elasticc2_dump_alert_tar.py @@ -29,8 +29,6 @@ def test_dump_tar( self, elasticc2_ppdb ): cwd="/tom_desc", capture_output=True ) assert res.returncode == 0 - import pdb; pdb.set_trace() - # Check that the expected tar files exist, and spot-check one assert all( pathlib.Path( f"/tests/{i}.tar" ).is_file() for i in [ 60278, 60279, 60281, 60282, 60283, 60286 ] ) diff --git a/tests/test_elasticc2_load_snana_fits.py b/tests/test_elasticc2_load_snana_fits.py index 46a2e4fe..03736b46 100644 --- a/tests/test_elasticc2_load_snana_fits.py +++ b/tests/test_elasticc2_load_snana_fits.py @@ -17,10 +17,10 @@ class TestLoadSnanaFits: def test_ppdb_loaded( self, elasticc2_ppdb ): # I should probably have some better tests than just object counts.... - assert m.PPDBDiaObject.objects.count() == 138 - assert m.PPDBDiaSource.objects.count() == 429 + assert m.PPDBDiaObject.objects.count() == 346 + assert m.PPDBDiaSource.objects.count() == 1862 assert m.PPDBAlert.objects.count() == m.PPDBDiaSource.objects.count() - assert m.PPDBDiaForcedSource.objects.count() == 34284 + assert m.PPDBDiaForcedSource.objects.count() == 52172 assert m.DiaObjectTruth.objects.count() == m.PPDBDiaObject.objects.count() @@ -37,6 +37,8 @@ def count_ppdb( self ): @pytest.fixture( scope="class" ) def elasticc2_training( self, count_ppdb ): + # Loding in exactly the same data for test purposes, + # just to differnt tables basedir = pathlib.Path( "/elasticc2data" ) dirs = [] for subdir in basedir.glob( '*' ): @@ -61,9 +63,9 @@ def test_training_tables_loaded( self, elasticc2_training ): assert m.PPDBDiaForcedSource.objects.count() == self.__class__._ppdbdiaforcedsources assert m.DiaObjectTruth.objects.count() == self.__class__._ppdbdiaobjecttruths - assert m.TrainingDiaObject.objects.count() == 138 - assert m.TrainingDiaSource.objects.count() == 429 - assert m.TrainingDiaForcedSource.objects.count() == 34284 + assert m.TrainingDiaObject.objects.count() == 346 + assert m.TrainingDiaSource.objects.count() == 1862 + assert m.TrainingDiaForcedSource.objects.count() == 52172 assert m.TrainingAlert.objects.count() == m.TrainingDiaSource.objects.count() assert ( m.TrainingDiaObjectTruth.objects.count() == m.TrainingDiaObject.objects.count() ) diff --git a/tests/test_elasticc2_models.py b/tests/test_elasticc2_models.py index 954ad6e6..6d12103d 100644 --- a/tests/test_elasticc2_models.py +++ b/tests/test_elasticc2_models.py @@ -4,9 +4,7 @@ import dateutil.parser import pytz -from elasticc2.models import ( CassBrokerMessageBySource, - CassBrokerMessageByTime, - BrokerSourceIds, +from elasticc2.models import ( BrokerSourceIds, BrokerClassifier, BrokerMessage ) @@ -59,25 +57,6 @@ def loaded_broker_classifications( self, alerts ): BrokerMessage.objects.filter( classifier_id__in=[ i.classifier_id for i in cfers ] ).delete() - @pytest.fixture( scope='class' ) - def loaded_cass_broker_classifications( self, alerts ): - # Some of the hardcodes here depend on details of what's inside - # random_broker_classifications in conftest.py - yield CassBrokerMessageBySource.load_batch( alerts ) - - # Hardcoded from what I know is in random_broker_classifications - cfers = BrokerClassifier.objects.filter( brokername__in=[ 'rbc_test1', 'rbc_test2'] ) - - # This doesn't work; Cassandra is picky about deleting stuff in bulk - # CassBrokerMessage.objects.filter( brokername__in=[ 'rbc_test1', 'rbc_test2' ] ).delete() - # So we do the slow thing, which will be OK given the small number of messages - msgs = CassBrokerMessageByTime.objects.filter( classifier_id__in=[ i.classifier_id for i in cfers ] ) - for msg in msgs: - msg.delete() - msgs = CassBrokerMessageBySource.objects.filter( classifier_id__in= [ i.classifier_id for i in cfers ] ) - for msg in msgs: - msg.delete() - def test_hello_world( self ): # This is just here so I can get a timestamp to see how long the next test took assert True @@ -85,17 +64,6 @@ def test_hello_world( self ): # def test_alert_reconstruct( self, elasticc2_ppdb ): # pass - def test_cassbrokermessage_bulk( self, loaded_cass_broker_classifications ): - assert CassBrokerMessageBySource.objects.count() >= loaded_cass_broker_classifications[ 'addedmsgs' ] - assert CassBrokerMessageBySource.objects.count() == CassBrokerMessageByTime.objects.count() - cfers = BrokerClassifier.objects.filter( brokername__in=[ 'rbc_test1', 'rbc_test2' ] ) - msgs = CassBrokerMessageBySource.objects.filter( classifier_id__in=[ i.classifier_id for i in cfers ] ) - assert msgs.count() == loaded_cass_broker_classifications[ 'addedmsgs' ] - sources = set() - for msg in msgs.all(): - sources.add( msg.diasource_id ) - assert sources.issubset( set( [ b.diasource_id for b in BrokerSourceIds.objects.all() ] ) ) - def test_brokermessage_bulk( self, loaded_broker_classifications ): assert BrokerMessage.objects.count() >= loaded_broker_classifications[ 'addedmsgs' ] cfers = BrokerClassifier.objects.filter( brokername__in=[ 'rbc_test1', 'rbc_test2' ] ) diff --git a/tests/test_elasticc2_spectrumcycle.py b/tests/test_elasticc2_spectrumcycle.py index f258d4fa..8381ba24 100644 --- a/tests/test_elasticc2_spectrumcycle.py +++ b/tests/test_elasticc2_spectrumcycle.py @@ -49,7 +49,7 @@ def ask_for_spectra( self, alert_cycle_complete, tomclient ): # TODO : test things other than detected_since_mjd sent to gethottransients - def test_hot_sne( self, update_diasource_100daysmore, tomclient ): + def test_hot_sne( self, alert_cycle_complete, tomclient ): # Testing detected_in_last_days is fraught because # the mjds in elasticc2 are what they are, are # in the future (as of this comment writing). @@ -57,10 +57,10 @@ def test_hot_sne( self, update_diasource_100daysmore, tomclient ): res = tomclient.post( 'elasticc2/gethottransients', json={ 'detected_since_mjd': 60660 } ) sne = res.json()['diaobject'] - assert len(sne) == 5 + assert len(sne) == 8 snids = { s['objectid'] for s in sne } - assert snids == { 15232, 416626, 1263066, 1286131, 1913410 } + assert snids == { 15232, 1913410, 2110476, 416626, 1286131, 1684659, 1045654, 1263066 } # Should probably check more than this... assert set( sne[0].keys() ) == { 'objectid', 'ra', 'dec', 'photometry', 'zp', 'redshift', 'sncode' } @@ -76,6 +76,29 @@ def test_ask_for_spectra( self, ask_for_spectra, tomclient ): assert wnt.requester == "tests" assert wnt.priority == prio + # Verify that if we ask again for a spectrum, it overwrites the previous request + lstobj = objs[-1] + lstprio = prios[-1] + newprio = lstprio + 1 if lstprio < 5 else 1 + + oldn = elasticc2.models.WantedSpectra.objects.count() + old_dbobj = elasticc2.models.WantedSpectra.objects.filter( requester='tests', + diaobject_id=lstobj )[0] + assert old_dbobj.priority == lstprio + + res = tomclient.post( 'elasticc2/askforspectrum', json={ 'requester': 'tests', + 'objectids': [ lstobj ], + 'priorities': [ newprio ] } ) + assert res.status_code == 200 + + assert elasticc2.models.WantedSpectra.objects.count() == oldn + dbobjs = elasticc2.models.WantedSpectra.objects.filter( requester='tests', + diaobject_id=lstobj ) + import pdb; pdb.set_trace() + assert len( dbobjs ) == 1 + assert dbobjs[0].wanttime > old_dbobj.wanttime + assert dbobjs[0].priority == newprio + def test_what_are_wanted_initial( self, ask_for_spectra, tomclient ): objs, prios = ask_for_spectra @@ -285,3 +308,10 @@ def test_get_spectrum_info( self, ask_for_spectra, tomclient ): assert data['spectra'][0]['mjd'] == pytest.approx( 65536., abs=0.01 ) assert data['spectra'][0]['z'] == pytest.approx( 0.25, abs=0.01 ) assert data['spectra'][0]['classid'] == 2222 + + + def test_cleanup( self ): + # Lots of previous tests left stuff in the database. Clean it out. + elasticc2.models.SpectrumInfo.objects.all().delete() + elasticc2.models.WantedSpectra.objects.all().delete() + elasticc2.models.PlannedSpectra.objects.all().delete() diff --git a/tests/test_fastdb_dev_alertcycle.py b/tests/test_fastdb_dev_alertcycle.py index 1ba3c867..5a6003e7 100644 --- a/tests/test_fastdb_dev_alertcycle.py +++ b/tests/test_fastdb_dev_alertcycle.py @@ -21,10 +21,6 @@ def test_ppdb_loaded( self, elasticc2_ppdb ): assert elasticc2.models.DiaObjectTruth.objects.count() == elasticc2.models.PPDBDiaObject.objects.count() - # def handle_test_send_alerts( self, msgs ): - # self._test_send_alerts_count += len(msgs) - - def test_send_alerts( self, alerts_300days ): assert alerts_300days @@ -33,16 +29,16 @@ def test_classifications_exist( self, classifications_300days_exist ): assert classifications_300days_exist - def test_classifications_ingested( self, classifications_300days_fastdb_dev_ingested ): - assert classifications_300days_fastdb_dev_ingested + def test_classifications_ingested( self, classifications_300days_ingested ): + assert classifications_300days_ingested def test_sources_updated( self, update_fastdb_dev_diasource_300days ): assert update_fastdb_dev_diasource_300days - def test_100moredays_classifications_ingested( self, classifications_100daysmore_fastdb_dev_ingested ): - assert classifications_100daysmore_fastdb_dev_ingested + def test_100moredays_classifications_ingested( self, classifications_100daysmore_ingested ): + assert classifications_100daysmore_ingested def test_100moredays_sources_updated( self, update_fastdb_dev_diasource_100daysmore ): diff --git a/tom_desc/db/models.py b/tom_desc/db/models.py index e879ea12..3ca87f21 100644 --- a/tom_desc/db/models.py +++ b/tom_desc/db/models.py @@ -194,7 +194,10 @@ def bulk_insert_or_upsert( cls, data, kwmap=None, upsert=False ): # columns = [ f'"{c}"' for c in df.columns.values ] columns = df.columns.values cursor.copy_from( strio, "bulk_upsert", columns=columns, size=1048576 ) - conflict = "DO UPDATE" if upsert else "DO NOTHING" + if not upsert: + conflict = "DO NOTHING" + else: + conflict = "DO UPDATE SET " + ",".join( f"{c}=EXCLUDED.{c}" for c in columns ) q = f"INSERT INTO {cls._meta.db_table} SELECT * FROM bulk_upsert ON CONFLICT {conflict}" cursor.execute( q ) ninserted = cursor.rowcount diff --git a/tom_desc/elasticc2/management/commands/brokerpoll2.py b/tom_desc/elasticc2/management/commands/brokerpoll2.py index e5dc3fa0..893f02de 100644 --- a/tom_desc/elasticc2/management/commands/brokerpoll2.py +++ b/tom_desc/elasticc2/management/commands/brokerpoll2.py @@ -119,12 +119,13 @@ def handle( self, *args, **options ): # Launch a process for each broker that will poll that broker indefinitely - # We want to make sure that django doesn't send copies of database sessions - # to the subprocesses; at least for Cassandra, that breaks things. So, - # before launching all the processes, close all the database django connections + # We want to make sure that django doesn't send copies of + # database sessions to the subprocesses. So, before launching + # all the processes, close all the database django connections # so that each process will open a new one as it needs it. - # (They already open mongo connections as necessary, and django doesn't muck - # about with mongo, so we don't have to do things for that.) + # (They already open mongo connections as necessary, and django + # doesn't muck about with mongo, so we don't have to do things + # for that.) django.db.connections.close_all() brokers = {} diff --git a/tom_desc/elasticc2/management/commands/gen_elasticc2_brokercompleteness.py b/tom_desc/elasticc2/management/commands/gen_elasticc2_brokercompleteness.py index ca5786fa..6cc9ea2d 100644 --- a/tom_desc/elasticc2/management/commands/gen_elasticc2_brokercompleteness.py +++ b/tom_desc/elasticc2/management/commands/gen_elasticc2_brokercompleteness.py @@ -20,7 +20,6 @@ import django.db from matplotlib import pyplot from django.core.management.base import BaseCommand, CommandError -import cassandra.query _rundir = pathlib.Path(__file__).parent diff --git a/tom_desc/elasticc2/management/commands/gen_elasticc2_brokerdelaygraphs.py b/tom_desc/elasticc2/management/commands/gen_elasticc2_brokerdelaygraphs.py deleted file mode 100644 index 0c6ecca6..00000000 --- a/tom_desc/elasticc2/management/commands/gen_elasticc2_brokerdelaygraphs.py +++ /dev/null @@ -1,415 +0,0 @@ -import sys -import io -import re -import math -import copy -import pathlib -import traceback -import time -import datetime -import dateutil.parser -import dateutil.tz -import pytz -import logging -import threading -import numpy -import pandas -import psycopg2 -import psycopg2.extras -import django.db -from matplotlib import pyplot -from django.core.management.base import BaseCommand, CommandError -import cassandra.query - -_rundir = pathlib.Path(__file__).parent - -_logger = logging.getLogger( __name__ ) -_logger.propagate = False -_logout = logging.StreamHandler( sys.stderr ) -_logger.addHandler( _logout ) -_formatter = logging.Formatter( f'[%(asctime)s - %(levelname)s] - %(message)s', - datefmt='%Y-%m-%d %H:%M:%S' ) -_logout.setFormatter( _formatter ) -_logger.setLevel( logging.DEBUG ) - -def makesubdf( bucketnums ): - rows = [] - for which in [ 'full', 'broker', 'tom' ]: - for buck in bucketnums: - rows.append( { 'which': which, 'buck': buck, 'count': 0 } ) - return pandas.DataFrame( rows ) - -def calcbucks( bucketleft, bucketright, dbucket ): - # Given postgres' width_bucket handling, everything *less than* bucketleft will be in bucket 0 - # Anything between bucketleft + (n-1)*dbucket and bucketleft + n*dbucket will be in bucket n - # Anything >= bucketleft + nbuckets*dbucket will be in bucket nbuckets + 1 - nbuckets = ( bucketright - bucketleft ) / dbucket - if ( float(int(nbuckets)) != nbuckets ): - raise ValueError( f"Can't divide {bucketleft} to {bucketright} evenly by {dbucket}" ) - nbuckets = int( nbuckets ) - bucketnums = numpy.array( range( nbuckets+2 ) ) - bucketleftedges = bucketleft + ( bucketnums - 1 ) * dbucket - return nbuckets, bucketnums, bucketleftedges - - -class CassBrokerMessagePageHandler: - def __init__( self, future, pgcursor, bucketleft, bucketright, dbucket, lowcutoff=1, highcutoff=9.99e5 ): - self.future = future - self.pgcursor = pgcursor - self.bucketleft = bucketleft - self.bucketright = bucketright - self.dbucket = dbucket - self.nbuckets, self.bucketnums, self.bucketleftedges = calcbucks( self.bucketleft, - self.bucketright, - self.dbucket ) - self.lowcutoff = lowcutoff - self.highcutoff = highcutoff - self.nhandled = 0 - self.printevery = 20000 - self.nextprint = 20000 - self.trunctime = 0 - self.striotime = 0 - self.copyfromtime = 0 - self.executetime = 0 - self.pandastime = 0 - self.futuretime = 0 - self.tottime = None - self.debugfirst = _logger.getEffectiveLevel() >= logging.DEBUG - - # Create a temporary postgres table for storing the alert ids we need - pgcursor.execute( "CREATE TEMPORARY TABLE temp_alertids( " - " alert_id bigint," - " classifier_id bigint," - " brokeringesttimestamp timestamptz," - " descingesttimestamp timestamptz," - " msghdrtimestamp timestamptz " - ") ON COMMIT DROP" ) - - # Precompile the postgres query we're going to use - pgcursor.execute( "DEALLOCATE ALL" ) - q = ( f"""SELECT DISTINCT ON(t.alert_id,t.classifier_id) - EXTRACT(EPOCH FROM t.descingesttimestamp - a.alertsenttimestamp)::float AS fulldelay, - EXTRACT(EPOCH FROM t.msghdrtimestamp - a.alertsenttimestamp)::float AS brokerdelay, - EXTRACT(EPOCH FROM t.descingesttimestamp - t.msghdrtimestamp)::float AS tomdelay - FROM temp_alertids t - INNER JOIN elasticc2_ppdbalert a ON t.alert_id=a.alert_id - """ ) - _logger.debug( f"(no-longer-so-) Ugly query: {q}" ) - pgcursor.execute( f"PREPARE bucket_join_alert_tempids AS {q}" ) - - self.df = makesubdf( self.bucketnums ).set_index( [ 'which', 'buck' ] ) - - self.finished_event = threading.Event() - self.error = None - - self.future.add_callbacks( callback=self.handle_page, errback=self.handle_error ) - - def finalize( self ): - self.pgcursor.connection.rollback() - resid = None - if self.tottime is not None: - self.tottime = time.perf_counter() - self.tottime - resid = ( self.tottime - self.trunctime - self.striotime - - self.copyfromtime - self.executetime - self.pandastime - self.futuretime ) - outstr = io.StringIO() - _logger.info( f"Overall: handled {self.nhandled} rows in {self.tottime} sec:\n" - f" trunctime : {self.trunctime}\n" - f" striotime : {self.striotime}\n" - f" copyfromtime : {self.copyfromtime}\n" - f" executetime : {self.executetime}\n" - f" pandastime : {self.pandastime}\n" - f" futuretime : {self.futuretime}\n" - f" (residual) : {resid}\n" ) - - def handle_page( self, rows ): - if self.tottime is None: - self.tottime = time.perf_counter() - t0 = time.perf_counter() - self.pgcursor.execute( "TRUNCATE TABLE temp_alertids" ) - - t1 = time.perf_counter() - strio = io.StringIO() - for row in rows: - strio.write( f"{row['alert_id']}\t" - f"{row['classifier_id']}\t" - f"{row['brokeringesttimestamp'].isoformat()}Z\t" - f"{row['descingesttimestamp'].isoformat()}Z\t" - f"{row['msghdrtimestamp'].isoformat()}Z\n" ) - strio.seek( 0 ) - t2 = time.perf_counter() - self.pgcursor.copy_from( strio, 'temp_alertids', size=262144 ) - - t3 = time.perf_counter() - if self.debugfirst: - self.debugfirst = False - self.pgcursor.execute( "EXPLAIN ANALYZE EXECUTE bucket_join_alert_tempids" ) - analrows = self.pgcursor.fetchall() - nl = '\n' - _logger.debug( f'Analyzed query:\n{nl.join( [ r["QUERY PLAN"] for r in analrows ] )}' ) - self.pgcursor.execute( "EXECUTE bucket_join_alert_tempids" ) - - t4 = time.perf_counter() - tmpdf = pandas.DataFrame( self.pgcursor.fetchall() ) - - if len(tmpdf) > 0: - tmpdf.clip( lower=10**self.bucketleft, upper=10**self.bucketright, inplace=True ) - tmpdf = tmpdf.apply( numpy.log10 ) - fullhist, binedges = numpy.histogram( tmpdf['fulldelay'], - range=(self.bucketleft,self.bucketright+self.dbucket), - bins=self.nbuckets+1 ) - if not ( binedges == numpy.arange( self.bucketleft, self.bucketright+2*self.dbucket, - self.dbucket ) ).all(): - raise ValueError( "Unexpected bins." ) - brokerhist, binedges = numpy.histogram( tmpdf['brokerdelay'], - range=(self.bucketleft,self.bucketright+self.dbucket), - bins=self.nbuckets+1 ) - tomhist, binedges = numpy.histogram( tmpdf['tomdelay'], - range=(self.bucketleft,self.bucketright+self.dbucket), - bins=self.nbuckets+1 ) - curdf = None - for which, hist in zip( [ 'full', 'broker', 'tom' ], [ fullhist, brokerhist, tomhist ] ): - whichdf = pandas.DataFrame( { 'which': which, - 'buck': numpy.array( ( binedges / self.dbucket + 1 )[:-1], dtype=int ), - 'count': hist } ) - if curdf is None: - curdf = whichdf - else: - curdf = pandas.concat( [ curdf, whichdf ] ) - - curdf.set_index( [ 'which', 'buck' ], inplace=True ) - # Sadly, this will convert ints to floats, but, oh well - self.df = self.df.add( curdf, fill_value=0 ) - - t5 = time.perf_counter() - if self.future.has_more_pages: - self.future.start_fetching_next_page() - else: - self.finished_event.set() - - t6 = time.perf_counter() - self.nhandled += len( rows ) - self.trunctime += t1 - t0 - self.striotime += t2 - t1 - self.copyfromtime += t3 - t2 - self.executetime += t4 - t3 - self.pandastime += t5 - t4 - self.futuretime += t6 - t5 - - if self.nhandled >= self.nextprint: - self.nextprint += self.printevery - _logger.info( f"Handled {self.nhandled} rows" ) - - def handle_error( self, exc ): - self.error = exc - self.finished_event.set() - - -class Command(BaseCommand): - help = 'Generate broker time delay graphs' - outdir = _rundir / "../../static/elasticc2/brokertiminggraphs" - - def add_arguments( self, parser) : - parser.add_argument( "--t0", default="2023-10-16", - help="First day to look at (YYYY-MM-DD) (default: 2023-10=16)" ) - parser.add_argument( "--t1", default="2023-10-19", - help="One past the last day to look at (YYYY-MM-DD) (default: 2023-10-19)" ) - parser.add_argument( "--dt", default=7, type=int, help="Step in days (default: 7)" ) - - self.bucketleft = 0 - self.bucketright = 6 - self.dbucket = 0.25 - self.lowcutoff = 1 - self.highcutoff = 9.99e5 - - def makeplots( self ): - brokers = set( self.df.index.get_level_values( 'broker' ) ) - weeks = set( self.df.index.get_level_values( 'week' ) ) - - whichtitle = { 'full': "Orig. Alert to Tom Ingestion", - 'broker': "Broker Delay", - - 'tom': "Tom Delay" } - - for broker in brokers: - for week in weeks: - fig = pyplot.figure( figsize=(18,4), tight_layout=True ) - for i, which in enumerate( [ 'full', 'broker', 'tom' ] ): - subdf = self.df.xs( ( broker, week, which ), level=( 'broker', 'week', 'which' ) ) - ax = fig.add_subplot( 1, 3, i+1 ) - ax.set_title( whichtitle[ which ], fontsize=18 ) - ax.set_xlim( self.bucketleft, self.bucketright + self.dbucket ) - ax.set_xlabel( r"$\log_{10}(\Delta t (\mathrm{s}))$", fontsize=14 ) - ax.set_ylabel( "N", fontsize=14 ) - tickvals = numpy.arange( 0, 7, 1 ) - # +1 since the lowest bucket in postgres is 1 (0 being < the lowest bucket) - xticks = tickvals / self.dbucket + self.bucketleft + 1 - xlabels = [ str(i) for i in tickvals ] - xlabels[0] = f'≤{xlabels[0]}' - xlabels[-1] = f'≥{xlabels[-1]}' - ax.set_xticks( xticks, labels=xlabels ) - ax.tick_params( 'both', labelsize=12 ) - ax.bar( subdf.index.values[1:], subdf['count'].values[1:], width=1, align='edge' ) - outfile = self.outdir / f'{broker}-{week}.svg' - _logger.info( f"Writing {outfile}" ) - if week == 'cumulative': - fig.suptitle( broker, fontsize=20 ) - else: - fig.suptitle( f"{broker}, {week} UTC", fontsize=20 ) - fig.savefig( outfile ) - pyplot.close( fig ) - - def makedf( self, weeklabs, brokernames ): - self.df = None - rows = [] - weeklabs = copy.deepcopy( weeklabs ) - weeklabs.insert( 0, 'cumulative' ) - for week in weeklabs: - for bname in brokernames: - df = makesubdf( self.bucketnums ) - df[ 'broker' ] = bname - df[ 'week' ] = week - if self.df is None: - self.df = df - else: - self.df = pandas.concat( [ self.df, df ] ) - self.df.set_index( [ 'broker', 'week', 'which', 'buck' ], inplace=True ) - - def handle( self, *args, **options ): - raise RuntimeError( "Deprecated. Run gen_elasticc2_brokerdelaygraphs_pg" ) - - _logger.info( "Starting genbrokerdelaygraphs" ) - - conn = None - # Jump through hoops to get access to the psycopg2 connection from django - conn = django.db.connection.cursor().connection - orig_autocommit = conn.autocommit - - try: - just_read_pickle = False - updatetime = None - - if not just_read_pickle: - - casssession = django.db.connections['cassandra'].connection.session - casssession.default_fetch_size = 10000 - # Perversely, it took longer per page using the PreparedStatement - # than it did using a simple statementbelow. ??? - # cassq = casssession.prepare( "SELECT * FROM tom_desc.cass_broker_message " - # "WHERE classifier_id IN ? " - # " AND descingesttimestamp >= ? " - # " AND descingesttimestamp < ? " - # "ALLOW FILTERING" ) - - conn.autocommit = False - - updatetime = datetime.datetime.utcnow().date().isoformat() - - self.outdir.mkdir( parents=True, exist_ok=True ) - - # Determine time buckets and weeks - - self.nbuckets, self.bucketnums, self.bucketleftedges = calcbucks( self.bucketleft, - self.bucketright, - self.dbucket ) - - t0 = pytz.utc.localize( datetime.datetime.fromisoformat( options['t0'] ) ) - t1 = pytz.utc.localize( datetime.datetime.fromisoformat( options['t1'] ) ) - dt = datetime.timedelta( days=options['dt'] ) - weeks = [] - week = t0 - while ( week < t1 ): - weeks.append( week ) - week += dt - weeklabs = [ f'[{w.year:04d}-{w.month:02d}-{w.day:02d} , ' - f'{(w+dt).year:04d}-{(w+dt).month:02d}-{(w+dt).day:02d})' for w in weeks ] - - with conn.cursor( cursor_factory=psycopg2.extras.RealDictCursor ) as cursor: - # Figure out which brokers we have - cursor.execute( 'SELECT * FROM elasticc2_brokerclassifier ' - 'ORDER BY "brokername","brokerversion","classifiername","classifierparams"' ) - brokers = { row["classifier_id"] : row for row in cursor.fetchall() } - conn.rollback() - - brokergroups = {} - for brokerid, row in brokers.items(): - if row['brokername'] not in brokergroups: - brokergroups[row['brokername']] = [] - brokergroups[row['brokername']].append( row['classifier_id'] ) - - # Choose the brokers to actually work on ( for debugging purposes ) - whichgroups = [ k for k in brokergroups.keys() ] - # whichgroups = [ 'Fink' ] - - # This is the master df that we'll append to as we - # iterate through brokers and weeks - self.makedf( weeklabs, whichgroups ) - - for broker in whichgroups: - for week, weeklab in zip( weeks, weeklabs ): - _logger.info( f"Doing broker {broker} week {weeklab}..." ) - - # Extract the data from the database for this broker - # and week (the CassBrokerMessagePageHandler will - # send a postgres query for each page returned from - # Cassandra) - - cassq = ( "SELECT * FROM tom_desc.cass_broker_message_by_time " - "WHERE classifier_id IN %(id)s " - " AND descingesttimestamp >= %(t0)s " - " AND descingesttimestamp < %(t1)s " - "ALLOW FILTERING" ) - future = casssession.execute_async( cassq, { 'id': tuple( brokergroups[broker] ), - 't0': week, - 't1': week+dt } ) - handler = CassBrokerMessagePageHandler( future, cursor, - self.bucketleft, self.bucketright, self.dbucket, - lowcutoff=self.lowcutoff, - highcutoff=self.highcutoff ) - _logger.info( "...waiting for finished..." ) - handler.finished_event.wait() - _logger.info( "...done." ) - handler.finalize() - if handler.error: - _logger.error( handler.error ) - raise handler.error - - if len( handler.df ) > 0: - df = handler.df.reset_index() - df[ 'broker' ] = broker - df[ 'week' ] = weeklab - df.set_index( [ 'broker', 'week', 'which', 'buck' ], inplace=True ) - self.df = self.df.add( df, fill_value=0 ) - - - # It seems like there should be a more elegant way to do this - summeddf = ( self.df.query( 'week!="cumlative"' ) - .groupby( [ 'broker', 'which', 'buck' ] ) - .sum().reset_index() ) - summeddf['week'] = 'cumulative' - summeddf.set_index( [ 'broker', 'week', 'which', 'buck' ], inplace=True ) - self.df.loc[ ( slice(None), 'cumulative', slice(None), slice(None) ), : ] = summeddf - - # self.df.set_index( [ 'broker', 'week', 'which', 'buck' ], inplace=True ) - _logger.info( "Writing gen_elasticc2_brokerdelaygraphs.pkl" ) - self.df.to_pickle( "gen_elasticc2_brokerdelaygraphs.pkl" ) - else: - _logger.info( "Reading gen_elasticc2_brokerdelaygraphs.pkl" ) - self.df = pandas.read_pickle( "gen_elasticc2_brokerdelaygraphs.pkl" ) - - _logger.info( "Saving plots." ) - self.makeplots() - if updatetime is not None: - with open( self.outdir / "updatetime.txt", 'w' ) as ofp: - ofp.write( updatetime ) - _logger.info( "All done." ) - except Exception as e: - _logger.exception( e ) - _logger.exception( traceback.format_exc() ) - # import pdb; pdb.set_trace() - raise e - finally: - if conn is not None: - conn.autocommit = orig_autocommit - conn.close() - conn = None - diff --git a/tom_desc/elasticc2/management/commands/gen_elasticc2_brokerdelaygraphs_pg.py b/tom_desc/elasticc2/management/commands/gen_elasticc2_brokerdelaygraphs_pg.py index ffe4da51..ebf79969 100644 --- a/tom_desc/elasticc2/management/commands/gen_elasticc2_brokerdelaygraphs_pg.py +++ b/tom_desc/elasticc2/management/commands/gen_elasticc2_brokerdelaygraphs_pg.py @@ -20,7 +20,6 @@ import django.db from matplotlib import pyplot from django.core.management.base import BaseCommand, CommandError -import cassandra.query _rundir = pathlib.Path(__file__).parent diff --git a/tom_desc/elasticc2/models.py b/tom_desc/elasticc2/models.py index 1a297e96..e3c2c5cf 100644 --- a/tom_desc/elasticc2/models.py +++ b/tom_desc/elasticc2/models.py @@ -21,10 +21,6 @@ import django.conf import django.utils -from cassandra.cqlengine import columns -import cassandra.query -from django_cassandra_engine.models import DjangoCassandraModel - import astropy.time @@ -950,170 +946,6 @@ def add_batch( cls, sources ): -class CassBrokerMessageBySource(DjangoCassandraModel): - classifier_id = columns.BigInt( primary_key=True ) - diasource_id = columns.BigInt( primary_key=True ) - id = columns.UUID( primary_key=True, default=uuid.uuid4 ) - - topicname = columns.Text() - streammessage_id = columns.BigInt() - alert_id = columns.BigInt() - msghdrtimestamp = columns.DateTime() - elasticcpublishtimestamp = columns.DateTime() - brokeringesttimestamp = columns.DateTime() - descingesttimestamp = columns.DateTime( default=datetime.datetime.utcnow ) - classid = columns.List( columns.Integer() ) - probability = columns.List( columns.Float() ) - - class Meta: - get_pk_field = 'id' - - @staticmethod - def load_batch( messages, logger=_logger ): - """Load an array of broker classification messages. - - Loads things to *both* CassBrokerMessageBySource and - CassBrokerMessageByTime - - This doesn't actually do any batching operation, because there's - no bulk_create in the Django Cassandra interface, and because I - don't understand Cassandra well enough to know how to do this -- - I've read that batching can be a bad idea. I'm worried about - the repeated network overhead, but we'll see how it goes. - - """ - - cfers = {} - sourceids = [] - for i, msgmeta in enumerate(messages): - msg = msgmeta['msg'] - if len( msg['classifications'] ) == 0: - logger.debug( 'Message with no classifications' ) - continue - keycfer = f"{msg['brokerName']}_{msg['brokerVersion']}_{msg['classifierName']}_{msg['classifierParams']}" - if keycfer not in cfers.keys(): - cfers[ keycfer ] = { 'brokername': msg['brokerName'], - 'brokerversion': msg['brokerVersion'], - 'classifiername': msg['classifierName'], - 'classifierparams': msg['classifierParams'], - 'classifier_id': None } - sourceids.append( msg['diaSourceId'] ) - - # Create any classifiers that don't already exist; this - # is one place where we do get efficiency by calling - # this batch method. - cferconds = models.Q() - logger.debug( f"Looking for pre-existing classifiers" ) - cferconds = models.Q() - i = 0 - for cferkey, cfer in cfers.items(): - newcond = ( models.Q( brokername = cfer['brokername'] ) & - models.Q( brokerversion = cfer['brokerversion'] ) & - models.Q( classifiername = cfer['classifiername'] ) & - models.Q( classifierparams = cfer['classifierparams'] ) ) - cferconds |= newcond - curcfers = BrokerClassifier.objects.filter( cferconds ) - numknown = 0 - for cur in curcfers: - keycfer = f"{cur.brokername}_{cur.brokerversion}_{cur.classifiername}_{cur.classifierparams}" - cfers[ keycfer ][ 'classifier_id' ] = cur.classifier_id - numknown += 1 - logger.debug( f'Found {numknown} existing classifiers that match the ones in this batch.' ) - - # Create new classifiers as necessary - - kwargses = [] - ncferstoadd = 0 - for keycfer, cfer in cfers.items(): - if cfer[ 'classifier_id' ] is None: - kwargses.append( { 'brokername': cfer['brokername'], - 'brokerversion': cfer['brokerversion'], - 'classifiername': cfer['classifiername'], - 'classifierparams': cfer['classifierparams'] } ) - ncferstoadd += 1 - ncferstoadd = len(kwargses) - logger.debug( f'Adding {ncferstoadd} new classifiers.' ) - if ncferstoadd > 0: - objs = ( BrokerClassifier( **k ) for k in kwargses ) - batch = list( itertools.islice( objs, len(kwargses) ) ) - newcfers = BrokerClassifier.objects.bulk_create( batch, len(kwargses) ) - for newcfer in newcfers: - keycfer = ( f'{newcfer.brokername}_{newcfer.brokerversion}_' - f'{newcfer.classifiername}_{newcfer.classifierparams}' ) - cfers[keycfer]['classifier_id'] = newcfer.classifier_id - - # It's pretty clear that django really wants - # to mediate your database access... otherwise - # there wouldn't be so many periods here - casssession = django.db.connections['cassandra'].connection.session - qm = ( "INSERT INTO tom_desc.cass_broker_message_by_source(classifier_id,diasource_id,id," - "topicname,streammessage_id,alert_id,msghdrtimestamp,elasticcpublishtimestamp," - "brokeringesttimestamp,descingesttimestamp,classid,probability) " - "VALUES (?,?,?,?,?,?,?,?,?,?,?,?)" ) - qt = ( "INSERT INTO tom_desc.cass_broker_message_by_time(classifier_id,diasource_id,id," - "topicname,streammessage_id,alert_id,msghdrtimestamp,elasticcpublishtimestamp," - "brokeringesttimestamp,descingesttimestamp,classid,probability) " - "VALUES (?,?,?,?,?,?,?,?,?,?,?,?)" ) - cassqm = casssession.prepare( qm ) - cassqt = casssession.prepare( qt ) - - # TODO - MAKE THIS BETTER -- this parameter should be configurable somewhere - batchsize = 1000 - nbatch = 0 - batch = None - for i, msgmeta in enumerate( messages ): - msg = msgmeta['msg'] - if len( msg['classifications' ] ) == 0: - continue - keycfer = f"{msg['brokerName']}_{msg['brokerVersion']}_{msg['classifierName']}_{msg['classifierParams']}" - classes = [] - probs = [] - for cification in msg['classifications']: - classes.append( cification['classId'] ) - probs.append( cification['probability'] ) - - cassid = uuid.uuid4() - descingesttimestamp = datetime.datetime.now() - - args = ( cfers[ keycfer][ 'classifier_id' ], - msg[ 'diaSourceId' ], - cassid, - msgmeta[ 'topic' ], - msgmeta[ 'msgoffset' ], - msg[ 'alertId' ], - msgmeta[ 'timestamp' ], - msg[ 'elasticcPublishTimestamp' ], - msg[ 'brokerIngestTimestamp' ], - descingesttimestamp, - classes, - probs ) - if batch is None: - batch = cassandra.query.BatchStatement() - nbatch = 0 - batch.add( cassqm.bind( args ) ) - batch.add( cassqt.bind( args ) ) - nbatch += 1 - if nbatch >= batchsize: - casssession.execute( batch ) - batch = None - nbatch = 0 - - if ( batch is not None ) and ( nbatch > 0 ): - casssession.execute( batch ) - - # Update the log of new broker source ids - BrokerSourceIds.add_batch( sourceids ) - - logger.debug( f"Classifiers in the messages just loaded: {list(cfers.keys())}" ) - - - # return newcfications - return { "addedmsgs": len(messages), - "addedclassifiers": ncferstoadd, - "addedclassifications": None, - "firstbrokermessage_id": None } - - # ====================================================================== # ====================================================================== # ====================================================================== @@ -1172,40 +1004,6 @@ class Meta: name='diaobjectclassification_unique' ) ] - -# ====================================================================== -# ====================================================================== -# ====================================================================== -# Cassandra tables (not currently used) - -# class CassBrokerMessageByTime(DjangoCassandraModel): -# classifier_id = columns.BigInt( primary_key=True ) -# descingesttimestamp = columns.DateTime( default=datetime.datetime.utcnow, primary_key=True ) -# id = columns.UUID( primary_key=True, default=uuid.uuid4 ) - -# topicname = columns.Text() -# streammessage_id = columns.BigInt() -# diasource_id = columns.BigInt() -# alert_id = columns.BigInt() -# msghdrtimestamp = columns.DateTime() -# elasticcpublishtimestamp = columns.DateTime() -# brokeringesttimestamp = columns.DateTime() -# classid = columns.List( columns.Integer() ) -# probability = columns.List( columns.Float() ) - -# class Meta: -# get_pk_field = 'id' - -# @staticmethod -# def load_batch( messages, logger=_logger ): -# """Calls CassBrokerMessageBySource.load_batch""" - -# CassBrokerMessageBySource.load_batch( messages, logger ) - - - - - # ====================================================================== class SpectrumInfo(Createable): diff --git a/tom_desc/elasticc2/views.py b/tom_desc/elasticc2/views.py index ca7ff1c6..a4673970 100644 --- a/tom_desc/elasticc2/views.py +++ b/tom_desc/elasticc2/views.py @@ -1174,7 +1174,7 @@ def post( self, request ): for i in range(len(data['objectids'])) ] try: - objs = WantedSpectra.bulk_load_or_create( tocreate ) + objs = WantedSpectra.bulk_insert_or_upsert( tocreate, upsert=True ) except Exception as ex: return HttpResponse( str(ex), status=500, content_type='text/plain; charset=utf-8' ) diff --git a/tom_desc/fastdb_dev/management/commands/fastdb_dev_brokerpoll.py b/tom_desc/fastdb_dev/management/commands/fastdb_dev_brokerpoll.py index 72bb6267..36ab73d3 100644 --- a/tom_desc/fastdb_dev/management/commands/fastdb_dev_brokerpoll.py +++ b/tom_desc/fastdb_dev/management/commands/fastdb_dev_brokerpoll.py @@ -121,12 +121,13 @@ def handle( self, *args, **options ): # Launch a process for each broker that will poll that broker indefinitely - # We want to make sure that django doesn't send copies of database sessions - # to the subprocesses; at least for Cassandra, that breaks things. So, - # before launching all the processes, close all the database django connections + # We want to make sure that django doesn't send copies of + # database sessions to the subprocesses. So, before launching + # all the processes, close all the database django connections # so that each process will open a new one as it needs it. - # (They already open mongo connections as necessary, and django doesn't muck - # about with mongo, so we don't have to do things for that.) + # (They already open mongo connections as necessary, and django + # doesn't muck about with mongo, so we don't have to do things + # for that.) django.db.connections.close_all() brokers = {} diff --git a/tom_desc/tom_desc/settings.py b/tom_desc/tom_desc/settings.py index c0315e41..508d9cce 100644 --- a/tom_desc/tom_desc/settings.py +++ b/tom_desc/tom_desc/settings.py @@ -15,7 +15,6 @@ import socket import tempfile import psqlextra -# import cassandra # Build paths inside the project like this: os.path.join(BASE_DIR, ...) BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) @@ -37,8 +36,6 @@ DATA_UPLOAD_MAX_MEMORY_SIZE = 524288000 # Application definition -# NOTE -- django_cassandra_engine demands to be first -# Just gotta hope nobody else makes the same claim. INSTALLED_APPS = [ 'whitenoise.runserver_nostatic', From 82c694d1c6e695ef84a148fd8b72d1cddf1ba007 Mon Sep 17 00:00:00 2001 From: Rob Knop Date: Wed, 20 Nov 2024 16:00:54 -0800 Subject: [PATCH 4/9] still fighting --- tests/alertcyclefixtures.py | 8 +++++--- 1 file changed, 5 insertions(+), 3 deletions(-) diff --git a/tests/alertcyclefixtures.py b/tests/alertcyclefixtures.py index 014699f8..d3054845 100644 --- a/tests/alertcyclefixtures.py +++ b/tests/alertcyclefixtures.py @@ -231,7 +231,8 @@ def classifications_300days_exist( alerts_300days, topic_barf, fakebroker ): yield True @pytest.fixture( scope="session" ) -def classifications_300days_ingested( classifications_300days_exist, brokerpoll_elasticc2, mongoclient ): +def classifications_300days_ingested( classifications_300days_exist, mongoclient, + brokerpoll_elasticc2, brokerpoll_fastdb_dev ): # Have to have an additional sleep after the classifications exist, # because brokerpoll itself has a 10s sleep loop time.sleep( 11 ) @@ -388,7 +389,8 @@ def alerts_100daysmore( alerts_300days, topic_barf, fakebroker, # Same issue as alerts_300days about not cleaning up @pytest.fixture( scope="session" ) -def classifications_100daysmore_ingested( alerts_100daysmore, brokerpoll_elasticc2, mongoclient ): +def classifications_100daysmore_ingested( alerts_100daysmore, mongoclient, + brokerpoll_elasticc2, brokerpoll_fastdb_dev ): # This time we need to allow for both the 10s sleep cycle timeout of # brokerpoll and fakebroker (since we're not checking # classifications exist separately from ingested) @@ -466,7 +468,7 @@ def update_elasticc2_diasource_100daysmore( classifications_100daysmore_ingested @pytest.fixture( scope="session" ) -def update_fastdb_dev_diasource_100daysmore( classifications_100daysmore_fastdb_dev_ingested ): +def update_fastdb_dev_diasource_100daysmore( classifications_100daysmore_ingested ): # SEE COMMENTS IN update_fastdb_dev_diasource_300days result = subprocess.run( [ "python", "manage.py", "load_fastdb", From 9c8bbe1414832df911479d91d4ff97629d5cb279 Mon Sep 17 00:00:00 2001 From: Rob Knop Date: Wed, 20 Nov 2024 16:31:18 -0800 Subject: [PATCH 5/9] Provide a quick way to restore a alert-cycle-complete database --- tests/conftest.py | 36 ++++++++++++++++++++++ tests/elasticc2_alertcycle_complete.psqlc | Bin 0 -> 1398260 bytes 2 files changed, 36 insertions(+) create mode 100644 tests/elasticc2_alertcycle_complete.psqlc diff --git a/tests/conftest.py b/tests/conftest.py index affcbdeb..0a64b570 100644 --- a/tests/conftest.py +++ b/tests/conftest.py @@ -69,3 +69,39 @@ def elasticc2_ppdb( tomclient ): elasticc2.models.PPDBDiaObject.objects.all().delete() +@pytest.fixture +def load_elasticc2_database_snapshot(): + # Make sure that the database is in a state where this won't be a disaster + models = [ elasticc2.models.BrokerClassifier, + elasticc2.models.BrokerMessage, + elasticc2.models.DiaForcedSource, + elasticc2.models.DiaObject, + elasticc2.models.DiaObjectTruth, + elasticc2.models.DiaSource, + elasticc2.models.PPDBAlert, + elasticc2.models.PPDBDiaForcedSource, + elasticc2.models.PPDBDiaObject, + elasticc2.models.PPDBDiaSource, + elasticc2.models.DiaObjectInfo, + elasticc2.models.BrokerSourceIds ] + + for m in models: + assert m.objects.count() == 0 + + # Load + res = subprocess.run( [ "pg_restore", + "--data-only", + "-h", "postgres", + "-U", "postgres", + "-d", "tom_desc", + "elasticc2_alertcycle_complete.psqlc" ], + cwd="/tests", + env={ 'PGPASSWORD': 'fragile' }, + capture_output=True ) + assert res.returncode == 0 + + yield True + + # Unload + for m in models: + m.objects.all().delete() diff --git a/tests/elasticc2_alertcycle_complete.psqlc b/tests/elasticc2_alertcycle_complete.psqlc new file mode 100644 index 0000000000000000000000000000000000000000..5c8b4632805c1688a5d60a714bee45ee8752a4a0 GIT binary patch literal 1398260 zcmeFYbyOb9vNw!FaQEQuuEE{i-Q6WfaCdhI5`w#v;OHdHMoSp4#^o&iMjDT0tWM^z)Yev9BK(3@9 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