- Added new summary fields: variance, 5th percentile, 95th percentile, VaR (95%), and expected shortfall (95%) to the dashboard. - Updated the display logic for summary metrics to handle non-finite values gracefully. - Modified the chart rendering to include additional percentile points and tail risk metrics in tooltips. test: Introduce unit tests for consumption, costs, and other modules - Created a comprehensive test suite for consumption, costs, equipment, maintenance, production, reporting, and simulation modules. - Implemented fixtures for database setup and teardown using an in-memory SQLite database for isolated testing. - Added tests for creating, listing, and validating various entities, ensuring proper error handling and response validation. refactor: Consolidate parameter tests and remove deprecated files - Merged parameter-related tests into a new test file for better organization and clarity. - Removed the old parameter test file that was no longer in use. - Improved test coverage for parameter creation, listing, and validation scenarios. fix: Ensure proper validation and error handling in API endpoints - Added validation to reject negative amounts in consumption and production records. - Implemented checks to prevent duplicate scenario creation and ensure proper error messages are returned. - Enhanced reporting endpoint tests to validate input formats and expected outputs.
14 lines
453 B
Python
14 lines
453 B
Python
from sqlalchemy import create_engine
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from sqlalchemy.orm import declarative_base, sessionmaker
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import os
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from dotenv import load_dotenv
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load_dotenv()
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DATABASE_URL = os.environ.get("DATABASE_URL")
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if not DATABASE_URL:
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raise RuntimeError("DATABASE_URL environment variable is not set")
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engine = create_engine(DATABASE_URL, echo=True, future=True)
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SessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine)
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Base = declarative_base()
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