feat: Enhance dashboard metrics and summary statistics

- 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.
This commit is contained in:
2025-10-20 22:06:39 +02:00
parent 606cb64ff1
commit 434be86b76
28 changed files with 945 additions and 401 deletions

View File

@@ -1,17 +1,26 @@
from sqlalchemy import Column, Integer, String, Float, ForeignKey
from sqlalchemy.orm import relationship
from typing import Any, Dict, Optional
from sqlalchemy import ForeignKey, JSON
from sqlalchemy.orm import Mapped, mapped_column, relationship
from config.database import Base
class Parameter(Base):
__tablename__ = "parameter"
id = Column(Integer, primary_key=True, index=True)
scenario_id = Column(Integer, ForeignKey("scenario.id"), nullable=False)
name = Column(String, nullable=False)
value = Column(Float, nullable=False)
id: Mapped[int] = mapped_column(primary_key=True, index=True)
scenario_id: Mapped[int] = mapped_column(
ForeignKey("scenario.id"), nullable=False)
name: Mapped[str] = mapped_column(nullable=False)
value: Mapped[float] = mapped_column(nullable=False)
distribution_id: Mapped[Optional[int]] = mapped_column(
ForeignKey("distribution.id"), nullable=True)
distribution_type: Mapped[Optional[str]] = mapped_column(nullable=True)
distribution_parameters: Mapped[Optional[Dict[str, Any]]] = mapped_column(
JSON, nullable=True)
scenario = relationship("Scenario", back_populates="parameters")
distribution = relationship("Distribution")
def __repr__(self):
return f"<Parameter id={self.id} name={self.name} value={self.value}>"