716 lines
29 KiB
Python
716 lines
29 KiB
Python
import sqlite3
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import configparser
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from datetime import datetime, timedelta, timezone
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from flask import Flask, jsonify, request
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from flask_cors import CORS
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import logging
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import subprocess
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import os
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from pathlib import Path
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import re
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from db import DatabaseManager
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# Set up logging
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logging.basicConfig(
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level=logging.INFO,
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format='%(asctime)s - %(levelname)s - %(message)s'
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)
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logger = logging.getLogger(__name__)
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app = Flask(__name__)
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CORS(app) # Enable CORS for all routes
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class OpenVPNAPI:
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def __init__(self, config_file='config.ini'):
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self.db_manager = DatabaseManager(config_file)
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self.config = configparser.ConfigParser()
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self.config.read(config_file)
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self.certificates_path = self.config.get('certificates', 'certificates_path', fallback='/etc/openvpn/certs')
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self.certificates_path = self.config.get('certificates', 'certificates_path', fallback='/etc/openvpn/certs')
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self.cert_extensions = self.config.get('certificates', 'certificate_extensions', fallback='crt,pem,key').split(',')
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self._cert_cache = {} # Cache structure: {filepath: {'mtime': float, 'data': dict}}
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def get_db_connection(self):
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"""Get a database connection"""
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return self.db_manager.get_connection()
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# --- БЛОК РАБОТЫ С СЕРТИФИКАТАМИ (Оставлен без изменений) ---
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def parse_openssl_date(self, date_str):
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try:
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parts = date_str.split()
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if len(parts[1]) == 1:
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parts[1] = f' {parts[1]}'
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normalized_date = ' '.join(parts)
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return datetime.strptime(normalized_date, '%b %d %H:%M:%S %Y GMT')
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except ValueError:
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try:
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return datetime.strptime(date_str, '%b %d %H:%M:%S %Y %Z')
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except ValueError:
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logger.warning(f"Could not parse date: {date_str}")
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return datetime.min
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def calculate_days_remaining(self, not_after_str):
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if not_after_str == 'N/A': return 'N/A'
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try:
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expiration_date = self.parse_openssl_date(not_after_str)
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if expiration_date == datetime.min: return 'N/A'
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days_remaining = (expiration_date - datetime.now()).days
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if days_remaining < 0: return f"Expired ({abs(days_remaining)} days ago)"
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else: return f"{days_remaining} days"
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except Exception: return 'N/A'
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def extract_cert_info(self, cert_file):
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# Существующая логика парсинга через openssl
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try:
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result = subprocess.run(['openssl', 'x509', '-in', cert_file, '-noout', '-text'],
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capture_output=True, text=True, check=True)
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output = result.stdout
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data = {'file': os.path.basename(cert_file), 'file_path': cert_file, 'subject': 'N/A',
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'issuer': 'N/A', 'not_after': 'N/A'}
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for line in output.split('\n'):
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line = line.strip()
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if line.startswith('Subject:'):
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data['subject'] = line.split('Subject:', 1)[1].strip()
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cn_match = re.search(r'CN=([^,]+)', data['subject'])
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if cn_match: data['common_name'] = cn_match.group(1)
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elif 'Not After' in line:
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data['not_after'] = line.split(':', 1)[1].strip()
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if data['not_after'] != 'N/A':
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data['sort_date'] = self.parse_openssl_date(data['not_after']).isoformat()
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else:
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data['sort_date'] = datetime.min.isoformat()
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data['days_remaining'] = self.calculate_days_remaining(data['not_after'])
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data['is_expired'] = 'Expired' in data['days_remaining']
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return data
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except Exception as e:
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logger.error(f"Error processing {cert_file}: {e}")
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return None
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def get_certificates_info(self):
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cert_path = Path(self.certificates_path)
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if not cert_path.exists(): return []
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cert_files = []
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for ext in self.cert_extensions:
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cert_files.extend(cert_path.rglob(f'*.{ext.strip()}'))
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current_valid_files = set()
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cert_data = []
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for cert_file_path in cert_files:
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cert_file = str(cert_file_path)
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current_valid_files.add(cert_file)
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try:
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mtime = os.path.getmtime(cert_file)
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# Check cache
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cached = self._cert_cache.get(cert_file)
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if cached and cached['mtime'] == mtime:
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cert_data.append(cached['data'])
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else:
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# Parse and update cache
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parsed_data = self.extract_cert_info(cert_file)
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if parsed_data:
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self._cert_cache[cert_file] = {
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'mtime': mtime,
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'data': parsed_data
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}
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cert_data.append(parsed_data)
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except OSError:
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continue
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# Prune cache for deleted files
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for cached_file in list(self._cert_cache.keys()):
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if cached_file not in current_valid_files:
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del self._cert_cache[cached_file]
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return cert_data
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# -----------------------------------------------------------
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def get_current_stats(self):
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"""Get current statistics for all clients"""
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conn = self.get_db_connection()
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cursor = conn.cursor()
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try:
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# ИЗМЕНЕНИЕ:
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# Вместо "ORDER BY timestamp DESC LIMIT 1" (мгновенное значение),
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# мы берем "MAX(rate)" за последние 2 минуты.
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# Это фильтрует "нули", возникающие из-за рассинхрона записи логов,
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# и показывает реальную пропускную способность канала.
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cursor.execute('''
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SELECT
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c.common_name,
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c.real_address,
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c.status,
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CASE
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WHEN c.status = 'Active' THEN 'N/A'
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ELSE strftime('%Y-%m-%d %H:%M:%S', c.last_activity)
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END as last_activity,
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c.total_bytes_received,
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c.total_bytes_sent,
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-- Пиковая скорость Download за последние 2 минуты
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(SELECT MAX(uh.bytes_received_rate_mbps)
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FROM usage_history uh
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WHERE uh.client_id = c.id
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AND uh.timestamp >= datetime('now', '-30 seconds')) as current_recv_rate,
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-- Пиковая скорость Upload за последние 2 минуты
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(SELECT MAX(uh.bytes_sent_rate_mbps)
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FROM usage_history uh
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WHERE uh.client_id = c.id
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AND uh.timestamp >= datetime('now', '-30 seconds')) as current_sent_rate,
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strftime('%Y-%m-%d %H:%M:%S', c.updated_at) as last_updated
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FROM clients c
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ORDER BY c.status DESC, c.common_name
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''')
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columns = [column[0] for column in cursor.description]
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data = []
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for row in cursor.fetchall():
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data.append(dict(zip(columns, row)))
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return data
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except Exception as e:
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logger.error(f"Error fetching data: {e}")
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return []
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finally:
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conn.close()
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def get_client_history(self, common_name, start_date=None, end_date=None, resolution='auto'):
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"""
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Получение истории с поддержкой агрегации (TSDB).
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Автоматически выбирает таблицу (Raw, Hourly, Daily) в зависимости от периода.
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"""
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conn = self.get_db_connection()
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cursor = conn.cursor()
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# 1. Установка временных рамок
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if not end_date:
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end_date = datetime.now()
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if not start_date:
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start_date = end_date - timedelta(hours=24) # Дефолт - сутки
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# Убедимся, что даты - это объекты datetime
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if isinstance(start_date, str):
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try: start_date = datetime.strptime(start_date, '%Y-%m-%d %H:%M:%S')
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except: pass
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if isinstance(end_date, str):
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try: end_date = datetime.strptime(end_date, '%Y-%m-%d %H:%M:%S')
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except: pass
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duration_hours = (end_date - start_date).total_seconds() / 3600
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# 2. Маппинг разрешений на таблицы
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table_map = {
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'raw': 'usage_history',
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'5min': 'stats_5min',
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'15min': 'stats_15min',
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'hourly': 'stats_hourly',
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'6h': 'stats_6h',
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'daily': 'stats_daily'
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}
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target_table = 'usage_history'
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# 3. Логика выбора таблицы
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if resolution == 'auto':
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if duration_hours <= 24:
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target_table = 'usage_history' # Сырые данные (график за день)
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elif duration_hours <= 168: # до 7 дней
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target_table = 'stats_hourly' # По часам
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elif duration_hours <= 2160: # до 3 месяцев
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target_table = 'stats_6h' # Каждые 6 часов
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else:
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target_table = 'stats_daily' # По дням
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elif resolution in table_map:
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target_table = table_map[resolution]
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# Проверка существования таблицы (fallback, если миграции не было)
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try:
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cursor.execute(f"SELECT name FROM sqlite_master WHERE type='table' AND name='{target_table}'")
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if not cursor.fetchone():
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logger.warning(f"Table {target_table} missing, fallback to usage_history")
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target_table = 'usage_history'
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except:
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pass
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try:
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# 4. Request Formation
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is_aggregated = target_table != 'usage_history'
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# High resolution handling for 1h and 3h ranges
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is_high_res = False
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interval = 0
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points_count = 0
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if target_table == 'usage_history':
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if duration_hours <= 1.1:
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is_high_res = True
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interval = 30
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points_count = 120
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elif duration_hours <= 3.1:
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is_high_res = True
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interval = 60
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points_count = 180
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elif duration_hours <= 6.1:
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is_high_res = True
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interval = 120 # 2 minutes
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points_count = 180
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elif duration_hours <= 12.1:
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is_high_res = True
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interval = 300 # 5 minutes
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points_count = 144
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elif duration_hours <= 24.1:
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is_high_res = True
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interval = 900 # 15 minutes
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points_count = 96
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if is_high_res:
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query = f'''
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SELECT
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datetime((strftime('%s', uh.timestamp) / {interval}) * {interval}, 'unixepoch') as timestamp,
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SUM(uh.bytes_received) as bytes_received,
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SUM(uh.bytes_sent) as bytes_sent,
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MAX(uh.bytes_received_rate_mbps) as bytes_received_rate_mbps,
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MAX(uh.bytes_sent_rate_mbps) as bytes_sent_rate_mbps
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FROM usage_history uh
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JOIN clients c ON uh.client_id = c.id
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WHERE c.common_name = ? AND uh.timestamp BETWEEN ? AND ?
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GROUP BY datetime((strftime('%s', uh.timestamp) / {interval}) * {interval}, 'unixepoch')
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ORDER BY timestamp ASC
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'''
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elif is_aggregated:
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query = f'''
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SELECT
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t.timestamp,
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t.bytes_received,
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t.bytes_sent,
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0 as bytes_received_rate_mbps,
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0 as bytes_sent_rate_mbps
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FROM {target_table} t
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JOIN clients c ON t.client_id = c.id
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WHERE c.common_name = ? AND t.timestamp BETWEEN ? AND ?
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ORDER BY t.timestamp ASC
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'''
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else:
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query = f'''
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SELECT
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uh.timestamp,
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uh.bytes_received,
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uh.bytes_sent,
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uh.bytes_received_rate_mbps,
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uh.bytes_sent_rate_mbps
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FROM usage_history uh
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JOIN clients c ON uh.client_id = c.id
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WHERE c.common_name = ? AND uh.timestamp BETWEEN ? AND ?
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ORDER BY uh.timestamp ASC
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'''
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s_str = start_date.strftime('%Y-%m-%d %H:%M:%S')
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e_str = end_date.strftime('%Y-%m-%d %H:%M:%S')
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cursor.execute(query, (common_name, s_str, e_str))
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columns = [column[0] for column in cursor.description]
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db_data_list = [dict(zip(columns, row)) for row in cursor.fetchall()]
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final_data = db_data_list
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if is_high_res:
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# Zero-filling
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final_data = []
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db_data_map = {row['timestamp']: row for row in db_data_list}
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# Align to nearest interval
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ts_end = end_date.timestamp()
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ts_aligned = ts_end - (ts_end % interval)
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aligned_end = datetime.utcfromtimestamp(ts_aligned)
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# Generate points
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start_generated = aligned_end - timedelta(seconds=points_count * interval)
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current = start_generated
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for _ in range(points_count):
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current += timedelta(seconds=interval)
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ts_str = current.strftime('%Y-%m-%d %H:%M:%S')
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if ts_str in db_data_map:
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final_data.append(db_data_map[ts_str])
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else:
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final_data.append({
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'timestamp': ts_str,
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'bytes_received': 0,
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'bytes_sent': 0,
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'bytes_received_rate_mbps': 0,
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'bytes_sent_rate_mbps': 0
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})
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return {
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'data': final_data,
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'meta': {
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'resolution_used': target_table + ('_hires' if is_high_res else ''),
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'record_count': len(final_data),
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'start': s_str,
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'end': e_str
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}
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}
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except Exception as e:
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logger.error(f"Error fetching history: {e}")
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return {'data': [], 'error': str(e)}
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finally:
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conn.close()
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def get_system_stats(self):
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"""Общая статистика по системе"""
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conn = self.get_db_connection()
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cursor = conn.cursor()
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try:
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cursor.execute('''
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SELECT
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COUNT(*) as total_clients,
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SUM(CASE WHEN status = 'Active' THEN 1 ELSE 0 END) as active_clients,
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COALESCE(SUM(total_bytes_received), 0) as total_bytes_received,
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COALESCE(SUM(total_bytes_sent), 0) as total_bytes_sent
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FROM clients
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''')
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result = cursor.fetchone()
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columns = [column[0] for column in cursor.description]
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if result:
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stats = dict(zip(columns, result))
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# Добавляем человекочитаемые форматы
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stats['total_received_gb'] = round(stats['total_bytes_received'] / (1024**3), 2)
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stats['total_sent_gb'] = round(stats['total_bytes_sent'] / (1024**3), 2)
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return stats
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return {}
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except Exception as e:
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logger.error(f"Error system stats: {e}")
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return {}
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finally:
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conn.close()
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def get_analytics_data(self, range_arg='24h'):
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"""
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Get aggregated analytics with dynamic resolution.
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range_arg: '24h', '7d', '30d'
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"""
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conn = self.get_db_connection()
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cursor = conn.cursor()
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analytics = {
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'max_concurrent_24h': 0,
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'top_clients_24h': [],
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'global_history_24h': [],
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'traffic_distribution': {'rx': 0, 'tx': 0}
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}
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# 1. Configuration
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hours = 24
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interval_seconds = 900 # 15 min default
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target_table = 'usage_history'
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if range_arg == '7d':
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hours = 168
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interval_seconds = 6300 # 105 min -> 96 points
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target_table = 'stats_hourly'
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elif range_arg == '30d':
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hours = 720
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interval_seconds = 27000 # 450 min -> 96 points
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target_table = 'stats_hourly' # Fallback to hourly/raw as needed
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# Fallback logic for table existence
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try:
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cursor.execute(f"SELECT name FROM sqlite_master WHERE type='table' AND name='{target_table}'")
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if not cursor.fetchone():
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target_table = 'usage_history' # Fallback to raw if aggregated missing
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except:
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target_table = 'usage_history'
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try:
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# 2. Global History (Chart)
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if target_table == 'usage_history':
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rate_cols = "SUM(bytes_received_rate_mbps) as total_rx_rate, SUM(bytes_sent_rate_mbps) as total_tx_rate,"
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else:
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rate_cols = "0 as total_rx_rate, 0 as total_tx_rate,"
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# Aggregation Query
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# Group by interval_seconds
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query_hist = f'''
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SELECT
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datetime((strftime('%s', timestamp) / {interval_seconds}) * {interval_seconds}, 'unixepoch') as timestamp,
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SUM(total_rx) as total_rx,
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SUM(total_tx) as total_tx,
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MAX(total_rx_rate) as total_rx_rate,
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MAX(total_tx_rate) as total_tx_rate,
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MAX(active_count) as active_count
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FROM (
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SELECT
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timestamp,
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SUM(bytes_received) as total_rx,
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SUM(bytes_sent) as total_tx,
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{rate_cols}
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COUNT(DISTINCT client_id) as active_count
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FROM {target_table}
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WHERE timestamp >= datetime('now', '-{hours} hours')
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GROUP BY timestamp
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) sub
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GROUP BY datetime((strftime('%s', timestamp) / {interval_seconds}) * {interval_seconds}, 'unixepoch')
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ORDER BY timestamp ASC
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'''
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cursor.execute(query_hist)
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rows = cursor.fetchall()
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columns = [col[0] for col in cursor.description]
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db_data = {row[0]: dict(zip(columns, row)) for row in rows}
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# Post-processing: Zero Fill
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analytics['global_history_24h'] = []
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now = datetime.utcnow()
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# Round down to nearest interval
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ts_now = now.timestamp()
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ts_aligned = ts_now - (ts_now % interval_seconds)
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now_aligned = datetime.utcfromtimestamp(ts_aligned)
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||
# We want exactly 96 points ending at now_aligned
|
||
# Start time = now_aligned - (96 * interval)
|
||
start_time = now_aligned - timedelta(seconds=96 * interval_seconds)
|
||
|
||
current = start_time
|
||
# Generate exactly 96 points
|
||
for _ in range(96):
|
||
current += timedelta(seconds=interval_seconds)
|
||
ts_str = current.strftime('%Y-%m-%d %H:%M:%S')
|
||
|
||
if ts_str in db_data:
|
||
analytics['global_history_24h'].append(db_data[ts_str])
|
||
else:
|
||
analytics['global_history_24h'].append({
|
||
'timestamp': ts_str,
|
||
'total_rx': 0,
|
||
'total_tx': 0,
|
||
'total_rx_rate': 0,
|
||
'total_tx_rate': 0,
|
||
'active_count': 0
|
||
})
|
||
|
||
# Max Clients metric
|
||
max_clients = 0
|
||
for row in analytics['global_history_24h']:
|
||
if row.get('active_count', 0) > max_clients:
|
||
max_clients = row['active_count']
|
||
analytics['max_concurrent_24h'] = max_clients
|
||
|
||
# 3. Top Clients & 4. Traffic Distribution (Keep existing logic)
|
||
# Use same target table
|
||
query_top = f'''
|
||
SELECT
|
||
c.common_name,
|
||
SUM(t.bytes_received) as rx,
|
||
SUM(t.bytes_sent) as tx,
|
||
(SUM(t.bytes_received) + SUM(t.bytes_sent)) as total_traffic
|
||
FROM {target_table} t
|
||
JOIN clients c ON t.client_id = c.id
|
||
WHERE t.timestamp >= datetime('now', '-{hours} hours')
|
||
GROUP BY c.id
|
||
ORDER BY total_traffic DESC
|
||
LIMIT 3
|
||
'''
|
||
cursor.execute(query_top)
|
||
top_cols = [col[0] for col in cursor.description]
|
||
analytics['top_clients_24h'] = [dict(zip(top_cols, row)) for row in cursor.fetchall()]
|
||
|
||
query_dist = f'''
|
||
SELECT
|
||
SUM(bytes_received) as rx,
|
||
SUM(bytes_sent) as tx
|
||
FROM {target_table}
|
||
WHERE timestamp >= datetime('now', '-{hours} hours')
|
||
'''
|
||
cursor.execute(query_dist)
|
||
dist_res = cursor.fetchone()
|
||
if dist_res:
|
||
analytics['traffic_distribution'] = {'rx': dist_res[0] or 0, 'tx': dist_res[1] or 0}
|
||
|
||
return analytics
|
||
|
||
except Exception as e:
|
||
logger.error(f"Analytics error: {e}")
|
||
return analytics
|
||
finally:
|
||
conn.close()
|
||
|
||
# Initialize API instance
|
||
api = OpenVPNAPI()
|
||
|
||
# --- ROUTES ---
|
||
|
||
@app.route('/api/v1/stats', methods=['GET'])
|
||
def get_stats():
|
||
"""Get current statistics for all clients"""
|
||
try:
|
||
data = api.get_current_stats()
|
||
# Форматирование данных
|
||
formatted_data = []
|
||
for client in data:
|
||
client['total_received_mb'] = round((client['total_bytes_received'] or 0) / (1024*1024), 2)
|
||
client['total_sent_mb'] = round((client['total_bytes_sent'] or 0) / (1024*1024), 2)
|
||
client['current_recv_rate_mbps'] = client['current_recv_rate'] or 0
|
||
client['current_sent_rate_mbps'] = client['current_sent_rate'] or 0
|
||
formatted_data.append(client)
|
||
|
||
return jsonify({
|
||
'success': True,
|
||
'timestamp': datetime.now().strftime('%Y-%m-%d %H:%M:%S'),
|
||
'data': formatted_data,
|
||
'count': len(formatted_data)
|
||
})
|
||
except Exception as e:
|
||
return jsonify({'success': False, 'error': str(e)}), 500
|
||
|
||
@app.route('/api/v1/stats/system', methods=['GET'])
|
||
def get_system_stats():
|
||
"""Get system-wide statistics"""
|
||
try:
|
||
stats = api.get_system_stats()
|
||
return jsonify({
|
||
'success': True,
|
||
'timestamp': datetime.now().strftime('%Y-%m-%d %H:%M:%S'),
|
||
'data': stats
|
||
})
|
||
except Exception as e:
|
||
return jsonify({'success': False, 'error': str(e)}), 500
|
||
|
||
@app.route('/api/v1/stats/<string:common_name>', methods=['GET'])
|
||
def get_client_stats(common_name):
|
||
"""
|
||
Get detailed stats for a client.
|
||
Query Params:
|
||
- range: '24h' (default), '7d', '30d', '1y' OR custom dates
|
||
- resolution: 'auto' (default), 'raw', '5min', 'hourly', 'daily'
|
||
"""
|
||
try:
|
||
# Чтение параметров запроса
|
||
range_arg = request.args.get('range', default='24h')
|
||
resolution = request.args.get('resolution', default='auto')
|
||
|
||
# --- ИСПРАВЛЕНИЕ ТУТ ---
|
||
# Используем UTC, так как SQLite хранит данные в UTC
|
||
end_date = datetime.now(timezone.utc)
|
||
start_date = end_date - timedelta(hours=24)
|
||
|
||
# Парсинг диапазона
|
||
if range_arg.endswith('h'):
|
||
start_date = end_date - timedelta(hours=int(range_arg[:-1]))
|
||
elif range_arg.endswith('d'):
|
||
start_date = end_date - timedelta(days=int(range_arg[:-1]))
|
||
elif range_arg.endswith('y'):
|
||
start_date = end_date - timedelta(days=int(range_arg[:-1]) * 365)
|
||
|
||
# Получаем текущее состояние
|
||
all_stats = api.get_current_stats()
|
||
client_data = next((c for c in all_stats if c['common_name'] == common_name), None)
|
||
|
||
if not client_data:
|
||
return jsonify({'success': False, 'error': 'Client not found'}), 404
|
||
|
||
# Получаем исторические данные
|
||
history_result = api.get_client_history(
|
||
common_name,
|
||
start_date=start_date,
|
||
end_date=end_date,
|
||
resolution=resolution
|
||
)
|
||
|
||
response = {
|
||
'common_name': client_data['common_name'],
|
||
'real_address': client_data['real_address'],
|
||
'status': client_data['status'],
|
||
'totals': {
|
||
'received_mb': round((client_data['total_bytes_received'] or 0) / (1024*1024), 2),
|
||
'sent_mb': round((client_data['total_bytes_sent'] or 0) / (1024*1024), 2)
|
||
},
|
||
'current_rates': {
|
||
'recv_mbps': client_data['current_recv_rate'] or 0,
|
||
'sent_mbps': client_data['current_sent_rate'] or 0
|
||
},
|
||
'last_activity': client_data['last_activity'],
|
||
'history': history_result.get('data', []),
|
||
'meta': history_result.get('meta', {})
|
||
}
|
||
|
||
# Для timestamp ответа API лучше тоже использовать UTC или явно указывать смещение,
|
||
# но для совместимости с JS new Date() UTC строка идеальна.
|
||
return jsonify({
|
||
'success': True,
|
||
'timestamp': datetime.now(timezone.utc).strftime('%Y-%m-%d %H:%M:%S'),
|
||
'data': response
|
||
})
|
||
|
||
except Exception as e:
|
||
logger.error(f"API Error: {e}")
|
||
return jsonify({'success': False, 'error': str(e)}), 500
|
||
|
||
@app.route('/api/v1/certificates', methods=['GET'])
|
||
def get_certificates():
|
||
try:
|
||
data = api.get_certificates_info()
|
||
return jsonify({'success': True, 'data': data})
|
||
except Exception as e:
|
||
return jsonify({'success': False, 'error': str(e)}), 500
|
||
|
||
@app.route('/api/v1/clients', methods=['GET'])
|
||
def get_clients_list():
|
||
try:
|
||
data = api.get_current_stats()
|
||
simple_list = [{'common_name': c['common_name'], 'status': c['status']} for c in data]
|
||
return jsonify({'success': True, 'data': simple_list})
|
||
except Exception as e:
|
||
return jsonify({'success': False, 'error': str(e)}), 500
|
||
|
||
@app.route('/api/v1/health', methods=['GET'])
|
||
def health_check():
|
||
try:
|
||
conn = api.get_db_connection()
|
||
conn.close()
|
||
return jsonify({'success': True, 'status': 'healthy'})
|
||
except Exception as e:
|
||
return jsonify({'success': False, 'status': 'unhealthy', 'error': str(e)}), 500
|
||
|
||
@app.route('/api/v1/analytics', methods=['GET'])
|
||
def get_analytics():
|
||
"""Get dashboard analytics data"""
|
||
try:
|
||
range_arg = request.args.get('range', default='24h')
|
||
|
||
# Маппинг для безопасности
|
||
valid_ranges = {'24h': '24h', '7d': '7d', '30d': '30d'}
|
||
selected_range = valid_ranges.get(range_arg, '24h')
|
||
|
||
data = api.get_analytics_data(selected_range)
|
||
return jsonify({
|
||
'success': True,
|
||
'timestamp': datetime.now(timezone.utc).strftime('%Y-%m-%d %H:%M:%S'),
|
||
'data': data,
|
||
'range': selected_range
|
||
})
|
||
except Exception as e:
|
||
logger.error(f"Error in analytics endpoint: {e}")
|
||
return jsonify({'success': False, 'error': str(e)}), 500
|
||
|
||
if __name__ == "__main__":
|
||
host = api.config.get('api', 'host', fallback='0.0.0.0')
|
||
port = 5001 # Используем 5001, чтобы не конфликтовать, если что-то уже есть на 5000
|
||
debug = api.config.getboolean('api', 'debug', fallback=False)
|
||
|
||
logger.info(f"Starting API on {host}:{port}")
|
||
app.run(host=host, port=port, debug=debug) |