src/config/settings.py

"""Centralized configuration management using pydantic-settings."""

# import os
# from typing import Optional
from pydantic import Field
from pydantic_settings import BaseSettings, SettingsConfigDict


class Settings(BaseSettings):
    """Application settings loaded from environment variables."""

    model_config = SettingsConfigDict(
        env_file=".env",
        env_file_encoding="utf-8",
        extra="allow",
        case_sensitive=False,
    )

    # Feature flags
    # Route `structured` chat intents through the analytical SLOW PATH
    # (Planner -> TaskRunner -> Assembler) instead of the single-query QueryService.
    # Off by default; the team flips ENABLE_SLOW_PATH=true to test end-to-end from
    # the /chat/stream endpoint. BusinessContext is still a stub until the lead's
    # real source lands, so this stays opt-in.
    enable_slow_path: bool = Field(alias="enable_slow_path", default=False)

    # Apply the deterministic gate (problem_validated) before dispatch: redirect
    # `structured_flow` to `problem_statement` until the analysis is validated. Off
    # by default — legacy `rooms` have no `analysis_states` row, so it would gate
    # everything. Flip ENABLE_GATE=true once the frontend creates analyses via
    # /analysis/create.
    enable_gate: bool = Field(alias="enable_gate", default=False)

    # Database
    postgres_connstring: str

    # Redis
    redis_url: str
    redis_prefix: str = "dataeyond-agent-service_"

    # Azure OpenAI - GPT-4o (map to .env names with double underscores)
    azureai_api_key_4o: str = Field(alias="azureai__api_key__4o", default="")
    azureai_endpoint_url_4o: str = Field(alias="azureai__endpoint__url__4o", default="")
    azureai_deployment_name_4o: str = Field(alias="azureai__deployment__name__4o", default="")
    azureai_api_version_4o: str = Field(alias="azureai__api__version__4o", default="")

    # Azure OpenAI - Embeddings
    azureai_api_key_embedding: str = Field(alias="azureai__api_key__embedding", default="")
    azureai_endpoint_url_embedding: str = Field(alias="azureai__endpoint__url__embedding", default="")
    azureai_deployment_name_embedding: str = Field(alias="azureai__deployment__name__embedding", default="")
    azureai_api_version_embedding: str = Field(alias="azureai__api__version__embedding", default="")

    # Azure Document Intelligence
    azureai_docintel_endpoint: str = Field(alias="azureai__docintel__endpoint", default="")
    azureai_docintel_key: str = Field(alias="azureai__docintel__key", default="")

    # Azure Blob Storage
    azureai_blob_sas: str = Field(alias="azureai__blob__sas", default="")
    azureai_container_endpoint: str = Field(alias="azureai__container__endpoint", default="")
    azureai_container_name: str = Field(alias="azureai__container__name", default="")
    azureai_container_account_name: str = Field(alias="azureai__container__account__name", default="")

    # Langfuse
    LANGFUSE_PUBLIC_KEY: str
    LANGFUSE_SECRET_KEY: str
    LANGFUSE_HOST: str

    # MongoDB (for users - existing)
    # emarcal_mongo_endpoint_url: str = Field(alias="emarcal__mongo__endpoint__url", default="")
    # emarcal_buma_mongo_dbname: str = Field(alias="emarcal__buma__mongo__dbname", default="")

    # JWT (for users - existing)
    emarcal_jwt_secret_key: str = Field(alias="emarcal__jwt__secret_key", default="")
    emarcal_jwt_algorithm: str = Field(alias="emarcal__jwt__algorithm", default="HS256")

    # Bcrypt salt (for users - existing)
    emarcal_bcrypt_salt: str = Field(alias="emarcal__bcrypt__salt", default="")

    # DB credential encryption (Fernet key for user-registered database creds)
    dataeyond_db_credential_key: str = Field(
        alias="dataeyond__db__credential__key"
    )


# Singleton instance
settings = Settings()