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# -*- coding: utf-8 -*-
# Copyright © Cloud Linux GmbH & Cloud Linux Software, Inc 2010-2021 All Rights Reserved
#
# Licensed under CLOUD LINUX LICENSE AGREEMENT
# http://cloudlinux.com/docs/LICENSE.TXT
"""
Represents storage where ssa data is collected, stored and extracted
"""
import itertools
from dataclasses import dataclass
from typing import List, Iterator, Tuple, Dict
import sqlalchemy
from sqlalchemy import func, cast, case, literal_column, distinct, text
from ssa.db import session_scope, RequestResult
@dataclass
class DomainData:
domain_name: str
domain_total_reqs: List[int]
is_a_wordpress_domain: bool
urls_number: int
def iter_domains_data(engine) -> Iterator[DomainData]:
"""
Iterates data from database domain-by-domain.
"""
with session_scope(engine) as db:
results_by_hour = db.query(
RequestResult.domain,
func.strftime('%H', RequestResult.created_at),
func.Count(RequestResult.id),
func.max(RequestResult.wordpress),
func.count(distinct(RequestResult.path))
).group_by(
RequestResult.domain,
func.strftime('%H', RequestResult.created_at)
).order_by(
RequestResult.domain,
func.strftime('%H', RequestResult.created_at)
)
results_by_hour_grouped = itertools.groupby(results_by_hour, key=lambda item: item[0])
for domain_name, group in results_by_hour_grouped:
domain_results_by_hour = tuple(group)
urls_number = 0
# at some hours there may be no requests
# so we must normalize data to match 24h data format
requests_number_by_hour = [0] * 24
for _, hour, requests_num, is_wordpress, urls in domain_results_by_hour:
requests_number_by_hour[int(hour)] = requests_num
urls_number = max(urls_number, urls)
yield DomainData(
domain_name=domain_name,
domain_total_reqs=requests_number_by_hour,
is_a_wordpress_domain=is_wordpress,
urls_number=urls_number
)
def iter_urls_data(engine, domain_name, all_paths):
"""
Iterates urls data from database url-by-url.
"""
with session_scope(engine) as db:
urls_data = db.query(
RequestResult.path,
func.strftime('%H', RequestResult.created_at),
func.Sum(cast(
RequestResult.hitting_limits, sqlalchemy.Integer
)).label('url_throttled_reqs'),
func.Count(
RequestResult.id
).label('url_total_reqs'),
func.Sum(cast(
RequestResult.is_slow_request, sqlalchemy.Integer)
).label('url_slow_reqs')
).filter(
RequestResult.domain == domain_name
).filter(
text(RequestResult.path.in_(all_paths).expression.compile(compile_kwargs={"literal_binds": True}).string)
).group_by(
RequestResult.path, func.strftime('%H', RequestResult.created_at)
).order_by(
RequestResult.path, func.strftime('%H', RequestResult.created_at)
)
previous_path = None
url_throttled_reqs, url_total_reqs, url_slow_reqs = \
[0] * 24, [0] * 24, [0] * 24
for path, hour, url_throttled_req, url_total_req, url_slow_req in urls_data:
if previous_path and previous_path != path:
yield previous_path, dict(
path=previous_path,
url_throttled_reqs=url_throttled_reqs,
url_total_reqs=url_total_reqs,
url_slow_reqs=url_slow_reqs
)
url_throttled_reqs, url_total_reqs, url_slow_reqs = \
[0] * 24, [0] * 24, [0] * 24
url_throttled_reqs[int(hour)] = url_throttled_req
url_total_reqs[int(hour)] = url_total_req
url_slow_reqs[int(hour)] = url_slow_req
previous_path = path
yield path, dict(
path=path,
url_throttled_reqs=url_throttled_reqs,
url_total_reqs=url_total_reqs,
url_slow_reqs=url_slow_reqs
)
def get_url_durations(engine, domain_name) -> Dict[str, Tuple[int]]:
"""
Get information about durations of requests url-by-url.
"""
with session_scope(engine) as db:
urls_data = db.query(
RequestResult.path,
RequestResult.duration
).filter(
RequestResult.domain == domain_name
).order_by(
RequestResult.path
)
durations_by_path = itertools.groupby(
list(urls_data), lambda item: item[0])
for key, group in durations_by_path:
yield key, [duration for _, duration in group]
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