"""Configuration module using Pydantic Settings."""
from typing import Optional
from pydantic_settings import BaseSettings
from pydantic import Field
class FCCSConfig(BaseSettings):
"""FCCS configuration with environment variable validation."""
# FCCS Connection (optional in mock mode)
fccs_url: Optional[str] = Field(None, alias="FCCS_URL")
fccs_username: Optional[str] = Field(None, alias="FCCS_USERNAME")
fccs_password: Optional[str] = Field(None, alias="FCCS_PASSWORD")
fccs_api_version: str = Field("v3", alias="FCCS_API_VERSION")
fccs_mock_mode: bool = Field(False, alias="FCCS_MOCK_MODE")
# Database (SQLite for sessions + feedback)
database_url: str = Field(
"sqlite:///./data/fccs_agent.db",
alias="DATABASE_URL"
)
# Gemini Model
google_api_key: Optional[str] = Field(None, alias="GOOGLE_API_KEY")
model_id: str = Field("gemini-2.0-flash", alias="MODEL_ID")
# Server
port: int = Field(8080, alias="PORT")
cors_origins: str = Field(
"http://localhost:3000,http://localhost:8080",
alias="CORS_ORIGINS",
description="Comma-separated list of allowed CORS origins. Use '*' only for development."
)
# Reinforcement Learning Configuration
rl_enabled: bool = Field(True, alias="RL_ENABLED")
rl_exploration_rate: float = Field(0.1, alias="RL_EXPLORATION_RATE")
rl_learning_rate: float = Field(0.3, alias="RL_LEARNING_RATE") # Increased for faster learning
rl_discount_factor: float = Field(0.95, alias="RL_DISCOUNT_FACTOR") # Higher future reward valuation
rl_min_samples: int = Field(3, alias="RL_MIN_SAMPLES") # Lower threshold for earlier RL activation
model_config = {
"env_file": ".env",
"env_file_encoding": "utf-8",
"extra": "ignore",
"populate_by_name": True,
}
def load_config() -> FCCSConfig:
"""Load and validate configuration from environment variables."""
config = FCCSConfig()
# Validate FCCS credentials if not in mock mode
if not config.fccs_mock_mode:
if not all([config.fccs_url, config.fccs_username, config.fccs_password]):
raise ValueError(
"Missing FCCS credentials (FCCS_URL, FCCS_USERNAME, FCCS_PASSWORD) "
"required when FCCS_MOCK_MODE is not true."
)
return config
# Global config instance
config = load_config()
