ddadminandDmitry Dementiev
731d991f94
- Зачем:
- ревью rev5: ClickHouse-интеграция была проблемной (порт 9000 native vs HTTP,
неработающий fallback, отсутствие DDL для базы meta)
- архитектурно чище: генератор остаётся pure Kafka producer,
история доступна для аналитики через стандартный ingestion
- Что:
- удален ClickHouseBatchHistory, clickhouse-connect зависимость
- добавлен KafkaBatchHistory с записью в топик generator_batch_history
- добавлен BatchRecord.to_dict() для JSON-сериализации
- добавлен рабочий fallback: Kafka → InMemory при недоступности
- удален pytest-asyncio (не использовался)
- добавлены тесты test_kafka_history.py (15 тестов) и test_service.py (6 тестов)
- обновлена документация: топик вместо таблицы ClickHouse
- Проверка:
- make generator-test: 44/44 тестов пройдено
- docker-compose валиден, генератор не зависит от clickhouse
693 lines
26 KiB
Python
693 lines
26 KiB
Python
#!/usr/bin/env python3
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"""
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Автономный генератор событий для Kafka (MVP rev5).
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Режим 'steady-stream': публикуем постепенно, короткими тиками (1-10 сек),
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держим целевую интенсивность events/min без крупных минутных batch.
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"""
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import json
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import logging
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import math
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import os
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import random
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import sys
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import time
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import uuid
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from dataclasses import dataclass, field
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from datetime import datetime, timezone
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from pathlib import Path
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from typing import Any
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# Prometheus метрики
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from prometheus_client import Counter, Gauge, Histogram, start_http_server
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# Kafka импортируем lazy для возможности тестирования без Kafka
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_kafka_imported = False
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KafkaProducer = None
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KafkaError = None
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def _import_kafka():
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global _kafka_imported, KafkaProducer, KafkaError
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if not _kafka_imported:
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from kafka import KafkaProducer
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from kafka.errors import KafkaError
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_kafka_imported = True
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return KafkaProducer, KafkaError
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# ---------------------------------------------------------------------------
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# Настройка логирования
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# ---------------------------------------------------------------------------
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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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datefmt="%Y-%m-%d %H:%M:%S",
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)
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logger = logging.getLogger("generator")
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# ---------------------------------------------------------------------------
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# Prometheus метрики
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# ---------------------------------------------------------------------------
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METRICS_EVENTS_TOTAL = Counter(
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"generator_events_total",
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"Total number of events sent to Kafka",
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["topic"]
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)
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METRICS_ERRORS_TOTAL = Counter(
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"generator_publish_errors_total",
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"Total number of publish errors",
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["topic"]
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)
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METRICS_TICK_DURATION = Histogram(
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"generator_tick_duration_seconds",
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"Duration of generator tick in seconds"
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)
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METRICS_LAST_SUCCESS = Gauge(
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"generator_last_success_timestamp",
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"Unix timestamp of last successful tick"
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)
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# ---------------------------------------------------------------------------
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# Конфигурация через env
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# ---------------------------------------------------------------------------
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@dataclass(frozen=True)
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class Config:
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"""Конфигурация генератора из переменных окружения."""
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# Подключение к Kafka
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kafka_bootstrap_servers: str = field(
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default_factory=lambda: os.getenv("KAFKA_BOOTSTRAP_SERVERS", "kafka:29092")
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)
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# Параметры генерации
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tick_seconds: int = field(
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default_factory=lambda: int(os.getenv("GEN_TICK_SECONDS", "5"))
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)
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lambda_base_per_min: int = field(
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default_factory=lambda: int(os.getenv("GEN_LAMBDA_BASE_PER_MIN", "200"))
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)
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jitter_pct: int = field(
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default_factory=lambda: int(os.getenv("GEN_JITTER_PCT", "20"))
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)
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min_events_per_tick: int = field(
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default_factory=lambda: int(os.getenv("GEN_MIN_EVENTS_PER_TICK", "5"))
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)
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max_events_per_tick: int = field(
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default_factory=lambda: int(os.getenv("GEN_MAX_EVENTS_PER_TICK", "50"))
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)
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# Пути к данным
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data_dir: Path = field(
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default_factory=lambda: Path(os.getenv("GEN_DATA_DIR", "/data"))
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)
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# Сид для воспроизводимости
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seed: int | None = field(
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default_factory=lambda: int(os.getenv("GEN_SEED"))
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if os.getenv("GEN_SEED")
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else None
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)
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# Включение/выключение генерации
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enabled: bool = field(
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default_factory=lambda: os.getenv("GEN_ENABLED", "true").lower() == "true"
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)
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# Порт для Prometheus метрик
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metrics_port: int = field(
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default_factory=lambda: int(os.getenv("GEN_METRICS_PORT", "9109"))
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)
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# Топик для истории batch
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history_topic: str = field(
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default_factory=lambda: os.getenv("GEN_HISTORY_TOPIC", "generator_batch_history")
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)
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def __post_init__(self):
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# Валидация параметров
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if self.tick_seconds < 1:
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raise ValueError("GEN_TICK_SECONDS must be >= 1")
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if self.lambda_base_per_min < 1:
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raise ValueError("GEN_LAMBDA_BASE_PER_MIN must be >= 1")
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if not self.data_dir.exists():
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raise ValueError(f"Data directory does not exist: {self.data_dir}")
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# ---------------------------------------------------------------------------
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# Загрузка базового словаря событий
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# ---------------------------------------------------------------------------
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@dataclass
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class EventDictionary:
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"""Базовый словарь событий из JSONL файлов."""
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browser_events: list[dict[str, Any]]
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location_events: list[dict[str, Any]]
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device_events: list[dict[str, Any]]
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geo_events: list[dict[str, Any]]
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# Индексы для быстрого поиска
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location_by_event_id: dict[str, dict] = field(default_factory=dict)
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device_by_click_id: dict[str, dict] = field(default_factory=dict)
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geo_by_click_id: dict[str, dict] = field(default_factory=dict)
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def __post_init__(self):
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# Строим индексы для связности
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for loc in self.location_events:
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self.location_by_event_id[loc["event_id"]] = loc
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for dev in self.device_events:
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self.device_by_click_id[dev["click_id"]] = dev
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for geo in self.geo_events:
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self.geo_by_click_id[geo["click_id"]] = geo
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@classmethod
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def load(cls, data_dir: Path) -> "EventDictionary":
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"""Загружает события из JSONL файлов."""
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logger.info(f"Loading event dictionary from {data_dir}")
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def load_jsonl(filename: str) -> list[dict]:
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path = data_dir / filename
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events = []
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with open(path, "r", encoding="utf-8") as f:
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for line in f:
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line = line.strip()
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if line:
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events.append(json.loads(line))
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logger.info(f" Loaded {len(events)} events from {filename}")
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return events
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return cls(
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browser_events=load_jsonl("browser_events.jsonl"),
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location_events=load_jsonl("location_events.jsonl"),
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device_events=load_jsonl("device_events.jsonl"),
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geo_events=load_jsonl("geo_events.jsonl"),
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)
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# ---------------------------------------------------------------------------
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# Генерация событий
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# ---------------------------------------------------------------------------
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class EventGenerator:
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"""Генератор событий с сохранением связности."""
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def __init__(self, dictionary: EventDictionary, config: Config):
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self.dictionary = dictionary
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self.config = config
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self.rng = random.Random(config.seed)
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def _new_uuid(self) -> str:
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"""Генерирует новый UUID."""
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return str(uuid.uuid4())
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def _current_timestamp(self) -> str:
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"""Возвращает текущую метку времени в формате JSONL."""
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return datetime.now(timezone.utc).strftime("%Y-%m-%d %H:%M:%S.%f")
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def _hour_factor(self) -> float:
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"""Возвращает коэффициент интенсивности в зависимости от часа дня."""
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hour = datetime.now(timezone.utc).hour
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# Дневное окно (9-18): 1.2
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# Ночное окно (0-5): 0.7
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# Остальное время: 1.0
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if 9 <= hour <= 18:
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return 1.2
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elif 0 <= hour <= 5:
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return 0.7
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return 1.0
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def _calculate_events_count(self) -> int:
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"""Вычисляет количество событий для текущего тика (Poisson + jitter)."""
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# Базовая интенсивность с учётом часа
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lambda_minute = self.config.lambda_base_per_min * self._hour_factor()
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# Масштабируем на длительность тика
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lambda_tick = lambda_minute * (self.config.tick_seconds / 60.0)
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# Генерируем Poisson
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count = 0
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L = math.exp(-lambda_tick)
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p = 1.0
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while p > L:
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p *= self.rng.random()
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count += 1
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count -= 1
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# Применяем jitter (вариативность)
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if self.config.jitter_pct > 0:
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jitter_factor = 1.0 + self.rng.uniform(
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-self.config.jitter_pct / 100.0,
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self.config.jitter_pct / 100.0
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)
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count = int(count * jitter_factor)
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# Применяем границы
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count = max(self.config.min_events_per_tick, min(count, self.config.max_events_per_tick))
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return count
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def generate_batch(self, batch_size: int) -> dict[str, list[dict]]:
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"""
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Генерирует батч событий с сохранением связей.
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Возвращает словарь {topic: [events]}
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"""
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batch = {
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"browser_events": [],
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"location_events": [],
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"device_events": [],
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"geo_events": [],
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}
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for _ in range(batch_size):
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# Выбираем случайное браузерное событие как базу
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base_browser = self.rng.choice(self.dictionary.browser_events)
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base_location = self.dictionary.location_by_event_id.get(base_browser["event_id"])
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base_device = self.dictionary.device_by_click_id.get(base_browser["click_id"])
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base_geo = self.dictionary.geo_by_click_id.get(base_browser["click_id"])
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# Генерируем новые ID
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new_event_id = self._new_uuid()
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new_click_id = self._new_uuid()
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new_timestamp = self._current_timestamp()
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# Создаём новое браузерное событие
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browser_event = {
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**base_browser,
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"event_id": new_event_id,
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"click_id": new_click_id,
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"event_timestamp": new_timestamp,
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}
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batch["browser_events"].append(browser_event)
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# Связанное location событие
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if base_location:
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location_event = {
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**base_location,
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"event_id": new_event_id,
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}
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batch["location_events"].append(location_event)
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# Связанное device событие
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if base_device:
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device_event = {
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**base_device,
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"click_id": new_click_id,
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}
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batch["device_events"].append(device_event)
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# Связанное geo событие
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if base_geo:
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geo_event = {
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**base_geo,
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"click_id": new_click_id,
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}
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batch["geo_events"].append(geo_event)
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return batch
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# ---------------------------------------------------------------------------
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# Batch record для истории
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# ---------------------------------------------------------------------------
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@dataclass
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class BatchRecord:
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"""Запись об отправленном батче."""
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batch_id: str
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started_at: datetime
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finished_at: datetime
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sent_total: int
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sent_browser: int
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sent_location: int
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sent_device: int
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sent_geo: int
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status: str # 'success', 'partial', 'error'
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error_message: str | None = None
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def to_dict(self) -> dict:
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"""Конвертирует в словарь для сериализации."""
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return {
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"batch_id": self.batch_id,
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"started_at": self.started_at.isoformat(),
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"finished_at": self.finished_at.isoformat(),
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"sent_total": self.sent_total,
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"sent_browser": self.sent_browser,
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"sent_location": self.sent_location,
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"sent_device": self.sent_device,
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"sent_geo": self.sent_geo,
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"status": self.status,
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"error_message": self.error_message,
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}
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# ---------------------------------------------------------------------------
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# In-memory fallback для истории
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# ---------------------------------------------------------------------------
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class InMemoryBatchHistory:
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"""Fallback хранение истории batch в памяти."""
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def __init__(self):
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self.batches: list[BatchRecord] = []
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def add(self, record: BatchRecord):
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self.batches.append(record)
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if len(self.batches) > 1000:
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self.batches = self.batches[-1000:]
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def get_stats(self) -> dict:
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if not self.batches:
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return {}
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total = len(self.batches)
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success = sum(1 for b in self.batches if b.status == "success")
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return {
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"total_batches": total,
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"success_rate": success / total if total > 0 else 0,
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"last_batch_status": self.batches[-1].status if self.batches else None,
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}
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# ---------------------------------------------------------------------------
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# Kafka history - пишет историю в отдельный топик
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# ---------------------------------------------------------------------------
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class KafkaBatchHistory:
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"""Хранение истории batch в Kafka (отдельный топик)."""
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HISTORY_TOPIC = "generator_batch_history"
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def __init__(self, bootstrap_servers: str):
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self.bootstrap_servers = bootstrap_servers
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self.producer = None
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self._initialized = False
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self._connect()
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def _connect(self):
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"""Устанавливает соединение с Kafka."""
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KafkaProducerCls, KafkaErrorCls = _import_kafka()
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logger.info(f"Connecting to Kafka for history at {self.bootstrap_servers}")
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try:
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self.producer = KafkaProducerCls(
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bootstrap_servers=self.bootstrap_servers,
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value_serializer=lambda v: json.dumps(v).encode("utf-8"),
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key_serializer=lambda k: k.encode("utf-8") if k else None,
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retries=3,
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retry_backoff_ms=1000,
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)
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self._initialized = True
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logger.info("Connected to Kafka for history successfully")
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except Exception as e:
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logger.warning(f"Failed to connect to Kafka for history: {e}")
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self._initialized = False
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def add(self, record: BatchRecord):
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"""Добавляет запись в историю (топик Kafka)."""
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if not self._initialized or self.producer is None:
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logger.debug("Kafka history not available, skipping")
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return
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try:
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key = record.batch_id
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value = record.to_dict()
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self.producer.send(self.HISTORY_TOPIC, key=key, value=value)
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except Exception as e:
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logger.warning(f"Failed to write batch history to Kafka: {e}")
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def flush(self):
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"""Сбрасывает буфер."""
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if self.producer:
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self.producer.flush()
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def close(self):
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"""Закрывает соединение."""
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if self.producer:
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self.producer.close()
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def get_stats(self) -> dict:
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"""Возвращает статус подключения."""
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return {
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"initialized": self._initialized,
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"topic": self.HISTORY_TOPIC,
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}
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# ---------------------------------------------------------------------------
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# Kafka publisher
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# ---------------------------------------------------------------------------
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class KafkaPublisher:
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"""Публикация событий в Kafka."""
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def __init__(self, bootstrap_servers: str):
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self.bootstrap_servers = bootstrap_servers
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self.producer = None
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self._connect()
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def _connect(self):
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"""Устанавливает соединение с Kafka."""
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KafkaProducerCls, KafkaErrorCls = _import_kafka()
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logger.info(f"Connecting to Kafka at {self.bootstrap_servers}")
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try:
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self.producer = KafkaProducerCls(
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bootstrap_servers=self.bootstrap_servers,
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value_serializer=lambda v: json.dumps(v).encode("utf-8"),
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key_serializer=lambda k: k.encode("utf-8") if k else None,
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batch_size=16384,
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linger_ms=100,
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retries=3,
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retry_backoff_ms=1000,
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)
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logger.info("Connected to Kafka successfully")
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except KafkaErrorCls as e:
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logger.error(f"Failed to connect to Kafka: {e}")
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raise
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def publish(self, topic: str, events: list[dict]) -> tuple[int, int]:
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"""
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Публикует события в топик.
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Returns:
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(sent_count, error_count)
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"""
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if not self.producer:
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raise RuntimeError("Producer not connected")
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_, KafkaErrorCls = _import_kafka()
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sent = 0
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errors = 0
|
||
futures = []
|
||
|
||
for event in events:
|
||
key = event.get("event_id") or event.get("click_id")
|
||
try:
|
||
future = self.producer.send(topic, key=key, value=event)
|
||
futures.append(future)
|
||
except Exception as e:
|
||
logger.error(f"Failed to send message to {topic}: {e}")
|
||
errors += 1
|
||
METRICS_ERRORS_TOTAL.labels(topic=topic).inc()
|
||
|
||
# Ждём подтверждений
|
||
for future in futures:
|
||
try:
|
||
future.get(timeout=10)
|
||
sent += 1
|
||
METRICS_EVENTS_TOTAL.labels(topic=topic).inc()
|
||
except Exception as e:
|
||
logger.error(f"Failed to confirm message delivery: {e}")
|
||
errors += 1
|
||
METRICS_ERRORS_TOTAL.labels(topic=topic).inc()
|
||
|
||
return sent, errors
|
||
|
||
def flush(self):
|
||
"""Сбрасывает буфер."""
|
||
if self.producer:
|
||
self.producer.flush()
|
||
|
||
def close(self):
|
||
"""Закрывает соединение."""
|
||
if self.producer:
|
||
self.producer.close()
|
||
|
||
|
||
# ---------------------------------------------------------------------------
|
||
# Основной цикл генератора
|
||
# ---------------------------------------------------------------------------
|
||
class GeneratorService:
|
||
"""Основной сервис генератора."""
|
||
|
||
def __init__(self, config: Config):
|
||
self.config = config
|
||
self.dictionary = EventDictionary.load(config.data_dir)
|
||
self.generator = EventGenerator(self.dictionary, config)
|
||
self.publisher: KafkaPublisher | None = None
|
||
self.history: KafkaBatchHistory | InMemoryBatchHistory | None = None
|
||
self._running = False
|
||
|
||
def start(self):
|
||
"""Запускает основной цикл."""
|
||
if not self.config.enabled:
|
||
logger.warning("Generator is disabled (GEN_ENABLED=false)")
|
||
return
|
||
|
||
# Запускаем HTTP-сервер для Prometheus метрик
|
||
logger.info(f"Starting metrics server on port {self.config.metrics_port}")
|
||
start_http_server(self.config.metrics_port)
|
||
|
||
logger.info("Starting generator service...")
|
||
logger.info(f"Configuration: tick={self.config.tick_seconds}s, "
|
||
f"lambda_base={self.config.lambda_base_per_min}/min, "
|
||
f"jitter={self.config.jitter_pct}%")
|
||
|
||
# Подключаемся к Kafka для публикации событий
|
||
self.publisher = KafkaPublisher(self.config.kafka_bootstrap_servers)
|
||
|
||
# Инициализируем историю (Kafka с fallback на in-memory)
|
||
self.history = KafkaBatchHistory(self.config.kafka_bootstrap_servers)
|
||
if not self.history._initialized:
|
||
logger.warning("Falling back to InMemoryBatchHistory")
|
||
self.history = InMemoryBatchHistory()
|
||
|
||
self._running = True
|
||
|
||
try:
|
||
self._main_loop()
|
||
except KeyboardInterrupt:
|
||
logger.info("Received shutdown signal")
|
||
finally:
|
||
self.stop()
|
||
|
||
def stop(self):
|
||
"""Останавливает сервис."""
|
||
logger.info("Stopping generator service...")
|
||
self._running = False
|
||
if self.publisher:
|
||
self.publisher.close()
|
||
if isinstance(self.history, KafkaBatchHistory):
|
||
self.history.close()
|
||
|
||
def _main_loop(self):
|
||
"""Основной цикл тиков."""
|
||
tick = 0
|
||
|
||
while self._running:
|
||
tick += 1
|
||
tick_start = time.time()
|
||
batch_id = str(uuid.uuid4())[:8]
|
||
|
||
with METRICS_TICK_DURATION.time():
|
||
logger.info(f"=== Tick {tick} (batch_id={batch_id}) ===")
|
||
|
||
try:
|
||
# Вычисляем количество событий
|
||
events_count = self.generator._calculate_events_count()
|
||
logger.info(f"Generating ~{events_count} base events")
|
||
|
||
# Генерируем батч
|
||
gen_start = time.time()
|
||
batch = self.generator.generate_batch(events_count)
|
||
gen_duration = time.time() - gen_start
|
||
|
||
# Публикуем в Kafka
|
||
pub_start = time.time()
|
||
total_sent = 0
|
||
total_errors = 0
|
||
|
||
sent_counts = {}
|
||
for topic, events in batch.items():
|
||
if events:
|
||
sent, errors = self.publisher.publish(topic, events)
|
||
sent_counts[topic] = {"sent": sent, "errors": errors}
|
||
total_sent += sent
|
||
total_errors += errors
|
||
|
||
self.publisher.flush()
|
||
if isinstance(self.history, KafkaBatchHistory):
|
||
self.history.flush()
|
||
pub_duration = time.time() - pub_start
|
||
|
||
# Определяем статус
|
||
if total_errors == 0:
|
||
status = "success"
|
||
elif total_sent > 0:
|
||
status = "partial"
|
||
else:
|
||
status = "error"
|
||
|
||
# Обновляем метрику последнего успешного тика
|
||
if status in ("success", "partial"):
|
||
METRICS_LAST_SUCCESS.set_to_current_time()
|
||
|
||
# Сохраняем в историю
|
||
batch_record = BatchRecord(
|
||
batch_id=batch_id,
|
||
started_at=datetime.fromtimestamp(tick_start, tz=timezone.utc),
|
||
finished_at=datetime.now(timezone.utc),
|
||
sent_total=total_sent,
|
||
sent_browser=sent_counts.get("browser_events", {}).get("sent", 0),
|
||
sent_location=sent_counts.get("location_events", {}).get("sent", 0),
|
||
sent_device=sent_counts.get("device_events", {}).get("sent", 0),
|
||
sent_geo=sent_counts.get("geo_events", {}).get("sent", 0),
|
||
status=status,
|
||
error_message=None if status == "success" else f"Errors: {total_errors}",
|
||
)
|
||
self.history.add(batch_record)
|
||
|
||
# Логируем результат
|
||
tick_duration = time.time() - tick_start
|
||
logger.info(
|
||
f"Batch {batch_id} completed: "
|
||
f"sent={total_sent}, errors={total_errors}, "
|
||
f"gen_time={gen_duration:.3f}s, pub_time={pub_duration:.3f}s, "
|
||
f"total_time={tick_duration:.3f}s"
|
||
)
|
||
|
||
for topic, counts in sent_counts.items():
|
||
if counts["sent"] > 0:
|
||
logger.info(f" {topic}: {counts['sent']} sent")
|
||
|
||
except Exception as e:
|
||
logger.exception(f"Error in tick {tick}: {e}")
|
||
self.history.add(
|
||
BatchRecord(
|
||
batch_id=batch_id,
|
||
started_at=datetime.fromtimestamp(tick_start, tz=timezone.utc),
|
||
finished_at=datetime.now(timezone.utc),
|
||
sent_total=0,
|
||
sent_browser=0,
|
||
sent_location=0,
|
||
sent_device=0,
|
||
sent_geo=0,
|
||
status="error",
|
||
error_message=str(e),
|
||
)
|
||
)
|
||
|
||
# Ждём до следующего тика
|
||
elapsed = time.time() - tick_start
|
||
sleep_time = max(0, self.config.tick_seconds - elapsed)
|
||
if sleep_time > 0:
|
||
logger.debug(f"Sleeping for {sleep_time:.1f}s until next tick")
|
||
time.sleep(sleep_time)
|
||
|
||
|
||
# ---------------------------------------------------------------------------
|
||
# Точка входа
|
||
# ---------------------------------------------------------------------------
|
||
def main():
|
||
try:
|
||
config = Config()
|
||
service = GeneratorService(config)
|
||
service.start()
|
||
except Exception as e:
|
||
logger.exception(f"Fatal error: {e}")
|
||
sys.exit(1)
|
||
|
||
|
||
if __name__ == "__main__":
|
||
main()
|