zwitschi
1feae7ff85
- Introduced OpexValidationError for handling validation errors in processing opex calculations. - Implemented ProjectProcessingOpexRepository and ScenarioProcessingOpexRepository for managing project and scenario-level processing opex snapshots. - Enhanced UnitOfWork to include repositories for processing opex. - Updated sidebar navigation and scenario detail templates to include links to the new Processing Opex Planner. - Created a new template for the Processing Opex Planner with form handling for input components and parameters. - Developed integration tests for processing opex calculations, covering HTML and JSON flows, including validation for currency mismatches and unsupported frequencies. - Added unit tests for the calculation logic, ensuring correct handling of various scenarios and edge cases.
110 lines
4.9 KiB
Python
110 lines
4.9 KiB
Python
from __future__ import annotations
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from datetime import datetime
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from typing import TYPE_CHECKING
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from sqlalchemy import JSON, Boolean, DateTime, ForeignKey, Integer, Numeric, String
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from sqlalchemy.orm import Mapped, mapped_column, relationship
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from sqlalchemy.sql import func
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from config.database import Base
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if TYPE_CHECKING: # pragma: no cover
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from .project import Project
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from .scenario import Scenario
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from .user import User
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class ProjectProcessingOpexSnapshot(Base):
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"""Snapshot of recurring processing opex metrics at the project level."""
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__tablename__ = "project_processing_opex_snapshots"
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id: Mapped[int] = mapped_column(Integer, primary_key=True)
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project_id: Mapped[int] = mapped_column(
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ForeignKey("projects.id", ondelete="CASCADE"), nullable=False, index=True
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)
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created_by_id: Mapped[int | None] = mapped_column(
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ForeignKey("users.id", ondelete="SET NULL"), nullable=True, index=True
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)
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calculation_source: Mapped[str | None] = mapped_column(String(64), nullable=True)
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calculated_at: Mapped[datetime] = mapped_column(
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DateTime(timezone=True), nullable=False, server_default=func.now()
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)
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currency_code: Mapped[str | None] = mapped_column(String(3), nullable=True)
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overall_annual: Mapped[float | None] = mapped_column(Numeric(18, 2), nullable=True)
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escalated_total: Mapped[float | None] = mapped_column(Numeric(18, 2), nullable=True)
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annual_average: Mapped[float | None] = mapped_column(Numeric(18, 2), nullable=True)
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evaluation_horizon_years: Mapped[int | None] = mapped_column(Integer, nullable=True)
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escalation_pct: Mapped[float | None] = mapped_column(Numeric(12, 6), nullable=True)
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apply_escalation: Mapped[bool] = mapped_column(Boolean, nullable=False, default=True)
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component_count: Mapped[int | None] = mapped_column(Integer, nullable=True)
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payload: Mapped[dict | None] = mapped_column(JSON, nullable=True)
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created_at: Mapped[datetime] = mapped_column(
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DateTime(timezone=True), nullable=False, server_default=func.now()
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)
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updated_at: Mapped[datetime] = mapped_column(
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DateTime(timezone=True), nullable=False, server_default=func.now(), onupdate=func.now()
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)
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project: Mapped[Project] = relationship(
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"Project", back_populates="processing_opex_snapshots"
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)
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created_by: Mapped[User | None] = relationship("User")
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def __repr__(self) -> str: # pragma: no cover
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return (
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"ProjectProcessingOpexSnapshot(id={id!r}, project_id={project_id!r}, overall_annual={overall_annual!r})".format(
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id=self.id,
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project_id=self.project_id,
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overall_annual=self.overall_annual,
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)
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)
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class ScenarioProcessingOpexSnapshot(Base):
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"""Snapshot of processing opex metrics for an individual scenario."""
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__tablename__ = "scenario_processing_opex_snapshots"
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id: Mapped[int] = mapped_column(Integer, primary_key=True)
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scenario_id: Mapped[int] = mapped_column(
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ForeignKey("scenarios.id", ondelete="CASCADE"), nullable=False, index=True
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)
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created_by_id: Mapped[int | None] = mapped_column(
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ForeignKey("users.id", ondelete="SET NULL"), nullable=True, index=True
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)
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calculation_source: Mapped[str | None] = mapped_column(String(64), nullable=True)
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calculated_at: Mapped[datetime] = mapped_column(
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DateTime(timezone=True), nullable=False, server_default=func.now()
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)
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currency_code: Mapped[str | None] = mapped_column(String(3), nullable=True)
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overall_annual: Mapped[float | None] = mapped_column(Numeric(18, 2), nullable=True)
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escalated_total: Mapped[float | None] = mapped_column(Numeric(18, 2), nullable=True)
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annual_average: Mapped[float | None] = mapped_column(Numeric(18, 2), nullable=True)
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evaluation_horizon_years: Mapped[int | None] = mapped_column(Integer, nullable=True)
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escalation_pct: Mapped[float | None] = mapped_column(Numeric(12, 6), nullable=True)
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apply_escalation: Mapped[bool] = mapped_column(Boolean, nullable=False, default=True)
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component_count: Mapped[int | None] = mapped_column(Integer, nullable=True)
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payload: Mapped[dict | None] = mapped_column(JSON, nullable=True)
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created_at: Mapped[datetime] = mapped_column(
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DateTime(timezone=True), nullable=False, server_default=func.now()
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)
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updated_at: Mapped[datetime] = mapped_column(
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DateTime(timezone=True), nullable=False, server_default=func.now(), onupdate=func.now()
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)
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scenario: Mapped[Scenario] = relationship(
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"Scenario", back_populates="processing_opex_snapshots"
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)
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created_by: Mapped[User | None] = relationship("User")
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def __repr__(self) -> str: # pragma: no cover
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return (
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"ScenarioProcessingOpexSnapshot(id={id!r}, scenario_id={scenario_id!r}, overall_annual={overall_annual!r})".format(
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id=self.id,
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scenario_id=self.scenario_id,
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overall_annual=self.overall_annual,
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)
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)
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