This repository has been archived on 2020-03-24. You can view files and clone it, but cannot push or open issues or pull requests.
quay/endpoints/api/logs_models_pre_oci.py
Joseph Schorr a007332d4c Temporarily change to storing logs in a new LogEntry2 table
This will prevent us from running out of auto-incrementing ID values until such time as we can upgrade to peewee 3 and change the field type to a BigInt

Fixes https://jira.coreos.com/browse/QUAY-943
2018-05-18 20:15:16 -04:00

117 lines
4.5 KiB
Python

import itertools
from data import model, database
from endpoints.api.logs_models_interface import LogEntryDataInterface, LogEntryPage, LogEntry, AggregatedLogEntry
def _create_log(log):
account_organization = None
account_username = None
account_email = None
account_robot = None
try:
account_organization = log.account.organization
account_username = log.account.username
account_email = log.account.email
account_robot = log.account.robot
except AttributeError:
pass
performer_robot = None
performer_username = None
performer_email = None
try:
performer_robot = log.performer.robot
performer_username = log.performer.username
performer_email = log.performer.email
except AttributeError:
pass
return LogEntry(log.metadata_json, log.ip, log.datetime, performer_email, performer_username,
performer_robot, account_organization, account_username,
account_email, account_robot, log.kind_id)
class PreOCIModel(LogEntryDataInterface):
"""
PreOCIModel implements the data model for the Tags using a database schema
before it was changed to support the OCI specification.
"""
def get_logs_query(self, start_time, end_time, performer_name=None, repository_name=None,
namespace_name=None, ignore=None, page_token=None):
repo = None
if repository_name and namespace_name:
repo = model.repository.get_repository(namespace_name, repository_name)
performer = None
if performer_name:
performer = model.user.get_user(performer_name)
# TODO(LogMigrate): Remove the branch once we're back on LogEntry only.
def get_logs(m):
logs_query = model.log.get_logs_query(start_time, end_time, performer=performer,
repository=repo, namespace=namespace_name,
ignore=ignore, model=m)
logs, next_page_token = model.modelutil.paginate(logs_query, m,
descending=True, page_token=page_token,
limit=20)
return LogEntryPage([_create_log(log) for log in logs], next_page_token)
# First check the LogEntry2 table for the most recent logs, unless we've been expressly told
# to look inside the first table.
TOKEN_TABLE_KEY = 'ttk'
is_old_table = page_token is not None and page_token.get(TOKEN_TABLE_KEY) == 1
if is_old_table:
page_result = get_logs(database.LogEntry)
else:
page_result = get_logs(database.LogEntry2)
if page_result.next_page_token is None and not is_old_table:
page_result = page_result._replace(next_page_token={TOKEN_TABLE_KEY: 1})
elif is_old_table and page_result.next_page_token is not None:
page_result.next_page_token[TOKEN_TABLE_KEY] = 1
return page_result
def get_log_entry_kinds(self):
return model.log.get_log_entry_kinds()
def repo_exists(self, namespace_name, repository_name):
repo = model.repository.get_repository(namespace_name, repository_name)
if repo is None:
return False
return True
def get_aggregated_logs(self, start_time, end_time, performer_name=None, repository_name=None,
namespace_name=None, ignore=None):
repo = None
if repository_name and namespace_name:
repo = model.repository.get_repository(namespace_name, repository_name)
performer = None
if performer_name:
performer = model.user.get_user(performer_name)
# TODO(LogMigrate): Remove the branch once we're back on LogEntry only.
aggregated_logs = model.log.get_aggregated_logs(start_time, end_time, performer=performer,
repository=repo, namespace=namespace_name,
ignore=ignore, model=database.LogEntry)
aggregated_logs_2 = model.log.get_aggregated_logs(start_time, end_time, performer=performer,
repository=repo, namespace=namespace_name,
ignore=ignore, model=database.LogEntry2)
entries = {}
for log in itertools.chain(aggregated_logs, aggregated_logs_2):
key = '%s-%s' % (log.kind_id, log.day)
if key in entries:
entries[key] = AggregatedLogEntry(log.count + entries[key].count, log.kind_id, log.day)
else:
entries[key] = AggregatedLogEntry(log.count, log.kind_id, log.day)
return entries.values()
pre_oci_model = PreOCIModel()