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quay/data/logs_model/inmemory_model.py

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2019-11-12 16:09:47 +00:00
import logging
import json
from collections import namedtuple
from datetime import datetime
from tzlocal import get_localzone
from dateutil.relativedelta import relativedelta
from data import model
from data.logs_model.datatypes import AggregatedLogCount, LogEntriesPage, Log
from data.logs_model.interface import (ActionLogsDataInterface, LogRotationContextInterface,
LogsIterationTimeout)
logger = logging.getLogger(__name__)
LogAndRepository = namedtuple('LogAndRepository', ['log', 'stored_log', 'repository'])
StoredLog = namedtuple('StoredLog', ['kind_id',
'account_id',
'performer_id',
'ip',
'metadata_json',
'repository_id',
'datetime'])
class InMemoryModel(ActionLogsDataInterface):
"""
InMemoryModel implements the data model for logs in-memory. FOR TESTING ONLY.
"""
def __init__(self):
self.logs = []
def _filter_logs(self, start_datetime, end_datetime, performer_name=None, repository_name=None,
namespace_name=None, filter_kinds=None):
if filter_kinds is not None:
assert all(isinstance(kind_name, str) for kind_name in filter_kinds)
for log_and_repo in self.logs:
if log_and_repo.log.datetime < start_datetime or log_and_repo.log.datetime > end_datetime:
continue
if performer_name and log_and_repo.log.performer_username != performer_name:
continue
if (repository_name and
(not log_and_repo.repository or log_and_repo.repository.name != repository_name)):
continue
if namespace_name and log_and_repo.log.account_username != namespace_name:
continue
if filter_kinds:
kind_map = model.log.get_log_entry_kinds()
ignore_ids = [kind_map[kind_name] for kind_name in filter_kinds]
if log_and_repo.log.kind_id in ignore_ids:
continue
yield log_and_repo
def _filter_latest_logs(self, performer_name=None, repository_name=None,
namespace_name=None, filter_kinds=None):
if filter_kinds is not None:
assert all(isinstance(kind_name, str) for kind_name in filter_kinds)
for log_and_repo in sorted(self.logs, key=lambda t: t.log.datetime, reverse=True):
if performer_name and log_and_repo.log.performer_username != performer_name:
continue
if (repository_name and
(not log_and_repo.repository or log_and_repo.repository.name != repository_name)):
continue
if namespace_name and log_and_repo.log.account_username != namespace_name:
continue
if filter_kinds:
kind_map = model.log.get_log_entry_kinds()
ignore_ids = [kind_map[kind_name] for kind_name in filter_kinds]
if log_and_repo.log.kind_id in ignore_ids:
continue
yield log_and_repo
def lookup_logs(self, start_datetime, end_datetime, performer_name=None, repository_name=None,
namespace_name=None, filter_kinds=None, page_token=None, max_page_count=None):
logs = []
for log_and_repo in self._filter_logs(start_datetime, end_datetime, performer_name,
repository_name, namespace_name, filter_kinds):
logs.append(log_and_repo.log)
return LogEntriesPage(logs, None)
def lookup_latest_logs(self, performer_name=None, repository_name=None, namespace_name=None,
filter_kinds=None, size=20):
latest_logs = []
for log_and_repo in self._filter_latest_logs(performer_name, repository_name, namespace_name,
filter_kinds):
if size is not None and len(latest_logs) == size:
break
latest_logs.append(log_and_repo.log)
return latest_logs
def get_aggregated_log_counts(self, start_datetime, end_datetime, performer_name=None,
repository_name=None, namespace_name=None, filter_kinds=None):
entries = {}
for log_and_repo in self._filter_logs(start_datetime, end_datetime, performer_name,
repository_name, namespace_name, filter_kinds):
entry = log_and_repo.log
synthetic_date = datetime(start_datetime.year, start_datetime.month, int(entry.datetime.day),
tzinfo=get_localzone())
if synthetic_date.day < start_datetime.day:
synthetic_date = synthetic_date + relativedelta(months=1)
key = '%s-%s' % (entry.kind_id, entry.datetime.day)
if key in entries:
entries[key] = AggregatedLogCount(entry.kind_id, entries[key].count + 1,
synthetic_date)
else:
entries[key] = AggregatedLogCount(entry.kind_id, 1, synthetic_date)
return entries.values()
def count_repository_actions(self, repository, day):
count = 0
for log_and_repo in self.logs:
if log_and_repo.repository != repository:
continue
if log_and_repo.log.datetime.day != day.day:
continue
count += 1
return count
def queue_logs_export(self, start_datetime, end_datetime, export_action_logs_queue,
namespace_name=None, repository_name=None, callback_url=None,
callback_email=None, filter_kinds=None):
raise NotImplementedError
def log_action(self, kind_name, namespace_name=None, performer=None, ip=None, metadata=None,
repository=None, repository_name=None, timestamp=None, is_free_namespace=False):
timestamp = timestamp or datetime.today()
if not repository and repository_name and namespace_name:
repository = model.repository.get_repository(namespace_name, repository_name)
account = None
account_id = None
performer_id = None
repository_id = None
if namespace_name is not None:
account = model.user.get_namespace_user(namespace_name)
account_id = account.id
if performer is not None:
performer_id = performer.id
if repository is not None:
repository_id = repository.id
metadata_json = json.dumps(metadata or {})
kind_id = model.log.get_log_entry_kinds()[kind_name]
stored_log = StoredLog(
kind_id,
account_id,
performer_id,
ip,
metadata_json,
repository_id,
timestamp
)
log = Log(metadata_json=metadata,
ip=ip,
datetime=timestamp,
performer_email=performer.email if performer else None,
performer_username=performer.username if performer else None,
performer_robot=performer.robot if performer else None,
account_organization=account.organization if account else None,
account_username=account.username if account else None,
account_email=account.email if account else None,
account_robot=account.robot if account else None,
kind_id=kind_id)
self.logs.append(LogAndRepository(log, stored_log, repository))
def yield_logs_for_export(self, start_datetime, end_datetime, repository_id=None,
namespace_id=None, max_query_time=None):
# Just for testing.
if max_query_time is not None:
raise LogsIterationTimeout()
logs = []
for log_and_repo in self._filter_logs(start_datetime, end_datetime):
if (repository_id and
(not log_and_repo.repository or log_and_repo.repository.id != repository_id)):
continue
if namespace_id:
if log_and_repo.log.account_username is None:
continue
namespace = model.user.get_namespace_user(log_and_repo.log.account_username)
if namespace.id != namespace_id:
continue
logs.append(log_and_repo.log)
yield logs
def yield_log_rotation_context(self, cutoff_date, min_logs_per_rotation):
expired_logs = [log_and_repo for log_and_repo in self.logs
if log_and_repo.log.datetime <= cutoff_date]
while True:
if not expired_logs:
break
context = InMemoryLogRotationContext(expired_logs[:min_logs_per_rotation], self.logs)
expired_logs = expired_logs[min_logs_per_rotation:]
yield context
class InMemoryLogRotationContext(LogRotationContextInterface):
def __init__(self, expired_logs, all_logs):
self.expired_logs = expired_logs
self.all_logs = all_logs
def __enter__(self):
return self
def __exit__(self, ex_type, ex_value, ex_traceback):
if ex_type is None and ex_value is None and ex_traceback is None:
for log in self.expired_logs:
self.all_logs.remove(log)
def yield_logs_batch(self):
""" Yield a batch of logs and a filename for that batch. """
filename = 'inmemory_model_filename_placeholder'
filename = '.'.join((filename, 'txt.gz'))
yield [log_and_repo.stored_log for log_and_repo in self.expired_logs], filename