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quay/data/model/log.py

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import json
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from calendar import timegm
from peewee import JOIN_LEFT_OUTER, fn
from datetime import datetime, timedelta
from cachetools import lru_cache
from data.database import LogEntry, LogEntryKind, User, RepositoryActionCount, db
from data.model import config, user, DataModelException
def _logs_query(selections, start_time, end_time, performer=None, repository=None, namespace=None,
ignore=None):
joined = (LogEntry
.select(*selections)
.switch(LogEntry)
.where(LogEntry.datetime >= start_time, LogEntry.datetime < end_time))
if repository:
joined = joined.where(LogEntry.repository == repository)
if performer:
joined = joined.where(LogEntry.performer == performer)
if namespace:
namespace_user = user.get_user_or_org(namespace)
if namespace_user is None:
raise DataModelException('Invalid namespace requested')
joined = joined.where(LogEntry.account == namespace_user.id)
if ignore:
kind_map = get_log_entry_kinds()
ignore_ids = [kind_map[kind_name] for kind_name in ignore]
joined = joined.where(~(LogEntry.kind << ignore_ids))
return joined
@lru_cache(maxsize=1)
def get_log_entry_kinds():
kind_map = {}
for kind in LogEntryKind.select():
kind_map[kind.id] = kind.name
kind_map[kind.name] = kind.id
return kind_map
def _get_log_entry_kind(name):
kinds = get_log_entry_kinds()
return kinds[name]
def get_aggregated_logs(start_time, end_time, performer=None, repository=None, namespace=None,
ignore=None):
date = db.extract_date('day', LogEntry.datetime)
selections = [LogEntry.kind, date.alias('day'), fn.Count(LogEntry.id).alias('count')]
query = _logs_query(selections, start_time, end_time, performer, repository, namespace, ignore)
return query.group_by(date, LogEntry.kind)
def get_logs_query(start_time, end_time, performer=None, repository=None, namespace=None,
ignore=None):
Performer = User.alias()
selections = [LogEntry, Performer]
query = _logs_query(selections, start_time, end_time, performer, repository, namespace, ignore)
query = (query.switch(LogEntry)
.join(Performer, JOIN_LEFT_OUTER,
on=(LogEntry.performer == Performer.id).alias('performer')))
return query
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def _json_serialize(obj):
if isinstance(obj, datetime):
return timegm(obj.utctimetuple())
return obj
def log_action(kind_name, user_or_organization_name, performer=None, repository=None,
ip=None, metadata={}, timestamp=None):
if not timestamp:
timestamp = datetime.today()
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account = None
if user_or_organization_name is not None:
account = User.get(User.username == user_or_organization_name).id
else:
account = config.app_config.get('SERVICE_LOG_ACCOUNT_ID')
if account is None:
account = User.select(fn.Min(User.id)).tuples().get()[0]
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if performer is not None:
performer = performer.id
if repository is not None:
repository = repository.id
kind = _get_log_entry_kind(kind_name)
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metadata_json = json.dumps(metadata, default=_json_serialize)
LogEntry.create(kind=kind, account=account, performer=performer,
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repository=repository, ip=ip, metadata_json=metadata_json,
datetime=timestamp)
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def get_stale_logs_start_id():
""" Gets the oldest log entry. """
try:
return (LogEntry
.select(LogEntry.id)
.order_by(LogEntry.id)
.limit(1)
.tuples())[0][0]
except IndexError:
return None
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def get_stale_logs_cutoff_id(cutoff_date):
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""" Gets the most recent ID created before the cutoff_date. """
try:
return (LogEntry
.select(fn.Max(LogEntry.id))
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.where(LogEntry.datetime <= cutoff_date)
.tuples())[0][0]
except IndexError:
return None
def get_stale_logs(start_id, end_id):
""" Returns all the logs with IDs between start_id and end_id inclusively. """
return LogEntry.select().where((LogEntry.id >= start_id), (LogEntry.id <= end_id))
def delete_stale_logs(start_id, end_id):
""" Deletes all the logs with IDs between start_id and end_id. """
LogEntry.delete().where((LogEntry.id >= start_id), (LogEntry.id <= end_id)).execute()
def get_repository_action_counts(repo, start_date):
return RepositoryActionCount.select().where(RepositoryActionCount.repository == repo,
RepositoryActionCount.date >= start_date)
def get_repositories_action_sums(repository_ids):
if not repository_ids:
return {}
# Filter the join to recent entries only.
last_week = datetime.now() - timedelta(weeks=1)
tuples = (RepositoryActionCount
.select(RepositoryActionCount.repository, fn.Sum(RepositoryActionCount.count))
.where(RepositoryActionCount.repository << repository_ids)
.where(RepositoryActionCount.date >= last_week)
.group_by(RepositoryActionCount.repository)
.tuples())
action_count_map = {}
for record in tuples:
action_count_map[record[0]] = record[1]
return action_count_map