"""Settings."""

from __future__ import annotations

from functools import lru_cache

from pydantic_settings import BaseSettings, SettingsConfigDict


class WorkerSettings(BaseSettings):
    model_config = SettingsConfigDict(
        env_file=".env", case_sensitive=False, extra="ignore"
    )
    asf_env: str = "development"
    asf_log_level: str = "INFO"
    rabbitmq_uri: str = "amqp://azurian:StrongPassword123!@172.19.40.201:5672/asf"
    mongo_uri: str = "mongodb://172.19.40.102:27017,172.19.40.103:27017/asf?replicaSet=rs0"
    mongo_db: str = "asf"
    ai_gateway_provider: str = "mock"

    # Queue → routing key bindings consumed by this worker.
    # A single worker can subscribe to a subset; in production you'd run
    # separate worker deployments per queue pool.
    queues: list[str] = [
        "asf.ai.interactive",
        "asf.ai.background",
        "asf.indexing",
        "asf.code_analysis",
        "asf.testing",
        "asf.devops",
        "asf.notifications",
    ]

    # If true, AI jobs invoke the AI Gateway and write results back.
    enable_ai_handlers: bool = True

    worker_id: str = "asf-worker-1"
    prefetch_count: int = 4


@lru_cache(maxsize=1)
def get_settings() -> WorkerSettings:
    return WorkerSettings()