88 lines
2.9 KiB
Python
88 lines
2.9 KiB
Python
import os
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from dataclasses import dataclass
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def get_env_str(key: str, default: str) -> str:
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return os.getenv(key, default)
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def get_env_int(key: str, default: int) -> int:
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val = os.getenv(key)
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if val is None or not val.strip():
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return default
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return int(val)
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def get_env_float(key: str, default: float) -> float:
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val = os.getenv(key)
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if val is None or not val.strip():
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return default
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return float(val)
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@dataclass(frozen=True)
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class APIConfig:
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host: str = get_env_str("API_HOST", "0.0.0.0")
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port: int = get_env_int("API_PORT", 8000)
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queue_max_size: int = get_env_int("API_QUEUE_MAX_SIZE", 10000)
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max_body_bytes: int = get_env_int("API_MAX_BODY_BYTES", 65536)
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read_timeout_seconds: float = get_env_float("API_READ_TIMEOUT_SECONDS", 10)
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shutdown_timeout_seconds: float = get_env_float("SHUTDOWN_TIMEOUT_SECONDS", 45)
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worker_stats_url: str = get_env_str(
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"WORKER_STATS_URL", "http://worker:8001/internal/stats"
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)
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@dataclass(frozen=True)
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class WorkerConfig:
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instance_id: str = get_env_str("WORKER_INSTANCE", "worker-1")
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stats_host: str = get_env_str("WORKER_STATS_HOST", "0.0.0.0")
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stats_port: int = get_env_int("WORKER_STATS_PORT", 8001)
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@dataclass(frozen=True)
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class KafkaConfig:
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bootstrap_servers: str = get_env_str("KAFKA_BOOTSTRAP_SERVERS", "localhost:9092")
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raw_topic: str = get_env_str("KAFKA_RAW_TOPIC", "cdr.raw")
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dlq_topic: str = get_env_str("KAFKA_DLQ_TOPIC", "cdr.raw.dlq")
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consumer_group: str = get_env_str("KAFKA_CONSUMER_GROUP", "cdr-processing-group")
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auto_offset_reset: str = get_env_str("KAFKA_AUTO_OFFSET_RESET", "earliest")
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delivery_timeout_seconds: float = get_env_float("KAFKA_DELIVERY_TIMEOUT_SECONDS", 10)
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@dataclass(frozen=True)
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class ClickHouseConfig:
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host: str = get_env_str("CLICKHOUSE_HOST", "localhost")
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port: int = get_env_int("CLICKHOUSE_PORT", 8123)
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user: str = get_env_str("CLICKHOUSE_USER", "default")
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password: str = get_env_str("CLICKHOUSE_PASSWORD", "")
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database: str = get_env_str("CLICKHOUSE_DATABASE", "telecom")
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table: str = get_env_str("CLICKHOUSE_TABLE", "cdr_records")
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@dataclass(frozen=True)
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class BatchConfig:
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size: int = get_env_int("BATCH_SIZE", 1000)
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flush_interval_seconds: float = get_env_float("BATCH_FLUSH_INTERVAL_SECONDS", 2.0)
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@dataclass(frozen=True)
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class RetryConfig:
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max_attempts: int = get_env_int("CH_RETRY_MAX_ATTEMPTS", 3)
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initial_delay_ms: int = get_env_int("CH_RETRY_INITIAL_DELAY_MS", 500)
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backoff_factor: float = get_env_float("CH_RETRY_BACKOFF_FACTOR", 2.0)
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@dataclass(frozen=True)
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class AppConfig:
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api: APIConfig = APIConfig()
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worker: WorkerConfig = WorkerConfig()
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kafka: KafkaConfig = KafkaConfig()
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clickhouse: ClickHouseConfig = ClickHouseConfig()
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batch: BatchConfig = BatchConfig()
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retry: RetryConfig = RetryConfig()
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log_level: str = get_env_str("LOG_LEVEL", "INFO")
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config = AppConfig()
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