zwitschi
434be86b76
- 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.
27 lines
1.0 KiB
Python
27 lines
1.0 KiB
Python
from typing import Any, Dict, Optional
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from sqlalchemy import ForeignKey, JSON
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from sqlalchemy.orm import Mapped, mapped_column, relationship
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from config.database import Base
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class Parameter(Base):
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__tablename__ = "parameter"
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id: Mapped[int] = mapped_column(primary_key=True, index=True)
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scenario_id: Mapped[int] = mapped_column(
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ForeignKey("scenario.id"), nullable=False)
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name: Mapped[str] = mapped_column(nullable=False)
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value: Mapped[float] = mapped_column(nullable=False)
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distribution_id: Mapped[Optional[int]] = mapped_column(
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ForeignKey("distribution.id"), nullable=True)
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distribution_type: Mapped[Optional[str]] = mapped_column(nullable=True)
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distribution_parameters: Mapped[Optional[Dict[str, Any]]] = mapped_column(
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JSON, nullable=True)
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scenario = relationship("Scenario", back_populates="parameters")
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distribution = relationship("Distribution")
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def __repr__(self):
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return f"<Parameter id={self.id} name={self.name} value={self.value}>"
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