Model/backend/app/config.py
2026-04-21 20:23:33 +00:00

113 lines
3.6 KiB
Python

import os
from functools import lru_cache
from pathlib import Path
from pydantic_settings import BaseSettings, SettingsConfigDict
from typing import Optional
from utils.logger import setup_logger
logger = setup_logger()
def resolve_env_file() -> Optional[str]:
env = os.getenv("ENVIRONMENT", "local")
backend_dir = Path(__file__).resolve().parents[1]
if env == "local":
env_file = backend_dir / ".env"
print("USING ENV FILE:", env_file)
logger.debug("USING ENV FILE:", env_file)
return str(env_file)
if env == "test":
env_file = backend_dir / ".env.test"
logger.debug("USING ENV FILE:", env_file)
return str(env_file)
# prod = no env file
return None
class Settings(BaseSettings):
API_KEY: str = "changeme"
API_KEY_NAME: str = "X-API-KEY"
SECRET_KEY: str = "changeme"
ENVIRONMENT: str = "changeme"
DATA_BUCKET: str = "changeme"
PLAN_TRIGGER_BUCKET: str = "changeme"
ENGINE_SQS_URL: str = "changeme"
CATEGORISATION_SQS_URL: str = "changeme"
PASHUB_TO_ARA_SQS_URL: str = "changeme"
POSTCODE_SPLITTER_SQS_URL: str = "changeme"
COMBINER_SQS_URL: str = "changeme"
# Third parties
EPC_AUTH_TOKEN: str = "changeme"
GOOGLE_SOLAR_API_KEY: str = "changeme"
# Database settings
DB_HOST: str = "changeme"
DB_PASSWORD: str = "changeme"
DB_USERNAME: str = "changeme"
DB_PORT: str = "changeme"
DB_NAME: str = "changeme"
# Prediction buckets
SAP_PREDICTIONS_BUCKET: str = "changeme"
CARBON_PREDICTIONS_BUCKET: str = "changeme"
HEAT_PREDICTIONS_BUCKET: str = "changeme"
HEATING_KWH_PREDICTIONS_BUCKET: str = "changeme"
HOTWATER_KWH_PREDICTIONS_BUCKET: str = "changeme"
SAP_BASELINE_PREDICTIONS_BUCKET: str = "changeme"
CARBON_BASELINE_PREDICTIONS_BUCKET: str = "changeme"
HEAT_BASELINE_PREDICTIONS_BUCKET: str = "changeme"
# Other S3 buckts
ENERGY_ASSESSMENTS_BUCKET: str = "changeme"
ORDNANCE_SURVEY_API_KEY: str = "changeme"
HUBSPOT_API_KEY: Optional[str] = None
# Sharepoint
SHAREPOINT_CLIENT_ID: Optional[str] = None
SHAREPOINT_CLIENT_SECRET: Optional[str] = None
SHAREPOINT_TENANT_ID: Optional[str] = None
DOMNA_SHAREPOINT_ID: Optional[str] = None
OSMOSIS_ACD_SHAREPOINT_ID: Optional[str] = None
PRIVATE_PAY_SHAREPOINT_ID: Optional[str] = None
SOCIAL_HOUSING_WAVE_3_SHAREPOINT_ID: Optional[str] = None
# Pas Hub
PASHUB_EMAIL: Optional[str] = None
PASHUB_PASSWORD: Optional[str] = None
# Optional AWS creds (only required in local)
AWS_ACCESS_KEY_ID: Optional[str] = None
AWS_SECRET_KEY_ID: Optional[str] = None
AWS_DEFAULT_REGION: Optional[str] = None
model_config = SettingsConfigDict(
env_file=resolve_env_file(),
env_file_encoding="utf-8",
)
@lru_cache()
def get_settings():
return Settings()
@lru_cache()
def get_prediction_buckets():
return {
"sap_change_predictions": get_settings().SAP_PREDICTIONS_BUCKET,
"heat_demand_predictions": get_settings().HEAT_PREDICTIONS_BUCKET,
"carbon_change_predictions": get_settings().CARBON_PREDICTIONS_BUCKET,
"heating_kwh_predictions": get_settings().HEATING_KWH_PREDICTIONS_BUCKET,
"hotwater_kwh_predictions": get_settings().HOTWATER_KWH_PREDICTIONS_BUCKET,
# Score model - SAP re-baselining model
"retrofit_sap_baseline_predictions": get_settings().SAP_BASELINE_PREDICTIONS_BUCKET,
"retrofit_carbon_baseline_predictions": get_settings().CARBON_BASELINE_PREDICTIONS_BUCKET,
"retrofit_heat_baseline_predictions": get_settings().HEAT_BASELINE_PREDICTIONS_BUCKET,
}