75 lines
2.1 KiB
Python
75 lines
2.1 KiB
Python
"""
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©AngelaMos | 2026
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config.py
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Pydantic-settings application configuration loaded from
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environment variables and .env file
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Defines the Settings model with defaults for: server
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(host 0.0.0.0, port 8000, debug, log_level), database
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(postgresql+asyncpg URL), Redis URL, GeoIP MaxMind
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database path, nginx log path, pipeline queue sizes
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(raw 1000, parsed 500, feature 200, alert 100), batch
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settings (size 32, timeout 50ms), and ML configuration
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(model_dir, detection_mode, ensemble weights for
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autoencoder/random-forest/isolation-forest at 0.40/0.40
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/0.20, ae_threshold_percentile 99.5, MLflow tracking
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URI). Exports a module-level singleton settings instance
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Connects to:
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factory.py - consumed in lifespan and create_app
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__main__.py - server host/port/reload
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core/ingestion/ - queue sizes, log path
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core/detection/ - model_dir, ensemble weights
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core/enrichment/ - geoip_db_path
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"""
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from pydantic_settings import BaseSettings, SettingsConfigDict
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class Settings(BaseSettings):
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"""
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Application configuration loaded from environment variables.
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"""
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model_config = SettingsConfigDict(
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env_file=".env",
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env_file_encoding="utf-8",
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case_sensitive=False,
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)
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app_name: str = "AngelusVigil"
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env: str = "development"
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debug: bool = False
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host: str = "0.0.0.0"
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port: int = 8000
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api_key: str = ""
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log_level: str = "INFO"
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database_url: str = "postgresql+asyncpg://vigil:changeme@localhost:5432/angelusvigil"
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redis_url: str = "redis://localhost:6379"
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geoip_db_path: str = "/usr/share/GeoIP/GeoLite2-City.mmdb"
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nginx_log_path: str = "/var/log/nginx/access.log"
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raw_queue_size: int = 1000
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parsed_queue_size: int = 500
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feature_queue_size: int = 200
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alert_queue_size: int = 100
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batch_size: int = 32
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batch_timeout_ms: int = 50
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model_dir: str = "data/models"
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detection_mode: str = "rules"
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ensemble_weight_ae: float = 0.40
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ensemble_weight_rf: float = 0.40
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ensemble_weight_if: float = 0.20
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ae_threshold_percentile: float = 99.5
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mlflow_tracking_uri: str = "file:./mlruns"
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settings = Settings()
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