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avaaz/app/backend/core/config.py
Madava d6b61ae8fb
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Add app scaffold and workflows
2025-12-03 08:58:34 +01:00

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Python

"""Environment configuration derived from environment variables."""
from functools import lru_cache
from pydantic import SecretStr # Import SecretStr for sensitive data
from pydantic_settings import BaseSettings, SettingsConfigDict
class Settings(BaseSettings):
"""
Application settings class using Pydantic BaseSettings.
Settings are loaded from environment variables and have default values defined here.
"""
service_name: str = "avaaz-backend" # A unique functional identifier for the microservice
environment: str = "development" # Defines the current deployment stage (e.g., 'development', 'staging', 'production')
title: str = "Avaaz Language Tutoring API"
description: str = """
# Avaaz Language Tutoring API
This API powers the **avaaz.ai** mobile and web applications, providing the robust backend services for our AI-driven oral language skills tutor. The platform is specifically engineered to help students achieve oral proficiency using adaptive, conversational AI agents.
## Key Services Provided:
* **Conversational AI Engine:** Facilitates ultra-low-latency speech-to-speech interaction and provides instant corrective feedback (grammar, pronunciation, fluency).
* **Curriculum Management:** Delivers structured, CEFR aligned lessons and scenarios focused on real-life immigrant contexts (healthcare, workplace, school).
* **Assessment & Gamification:** Manages progress tracking, mock oral exam simulations, performance summaries, and motivational mechanics (streaks, badges).
* **Cross-Platform Sync:** Ensures seamless learning continuity and progress synchronization across all user devices.
"""
version: str = "0.1.0" # The current semantic version of the API application
# Use SecretStr to prevent accidental logging of credentials.
# Access the actual value using settings.database_url.get_secret_value()
database_url: SecretStr = SecretStr("postgresql+psycopg://postgres:postgres@postgres:5432/avaaz")
model_config = SettingsConfigDict(
env_prefix="", # Load variables without a specific prefix (e.g., `DATABASE_URL` instead of `APP_DATABASE_URL`)
case_sensitive=False # Environment variable names are treated as case-insensitive during loading
)
@lru_cache(maxsize=1)
def get_settings() -> Settings:
"""
Return a cached singleton instance of the application settings.
This function leverages functools.lru_cache to ensure that environment variables
are read only once during the application's lifecycle, improving performance
and ensuring consistency across requests.
"""
return Settings()