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.
131 lines
3.5 KiB
Python
131 lines
3.5 KiB
Python
from typing import List, Optional, cast
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from fastapi import APIRouter, Depends, HTTPException, status
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from pydantic import BaseModel, PositiveInt
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from sqlalchemy.orm import Session
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from config.database import SessionLocal
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from models.parameters import Parameter
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from models.scenario import Scenario
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from models.simulation_result import SimulationResult
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from services.reporting import generate_report
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from services.simulation import run_simulation
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router = APIRouter(prefix="/api/simulations", tags=["Simulations"])
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def get_db():
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db = SessionLocal()
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try:
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yield db
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finally:
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db.close()
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class SimulationParameterInput(BaseModel):
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name: str
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value: float
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distribution: Optional[str] = "normal"
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std_dev: Optional[float] = None
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min: Optional[float] = None
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max: Optional[float] = None
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mode: Optional[float] = None
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class SimulationRunRequest(BaseModel):
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scenario_id: int
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iterations: PositiveInt = 1000
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parameters: Optional[List[SimulationParameterInput]] = None
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seed: Optional[int] = None
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class SimulationResultItem(BaseModel):
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iteration: int
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result: float
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class SimulationRunResponse(BaseModel):
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scenario_id: int
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iterations: int
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results: List[SimulationResultItem]
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summary: dict
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def _load_parameters(db: Session, scenario_id: int) -> List[SimulationParameterInput]:
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db_params = (
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db.query(Parameter)
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.filter(Parameter.scenario_id == scenario_id)
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.order_by(Parameter.id)
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.all()
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)
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return [
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SimulationParameterInput(
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name=item.name,
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value=item.value,
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)
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for item in db_params
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]
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@router.post("/run", response_model=SimulationRunResponse)
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async def simulate(payload: SimulationRunRequest, db: Session = Depends(get_db)):
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scenario = db.query(Scenario).filter(
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Scenario.id == payload.scenario_id).first()
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if scenario is None:
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raise HTTPException(
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status_code=status.HTTP_404_NOT_FOUND,
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detail="Scenario not found",
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)
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parameters = payload.parameters or _load_parameters(
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db, payload.scenario_id)
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if not parameters:
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raise HTTPException(
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status_code=status.HTTP_400_BAD_REQUEST,
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detail="No parameters provided",
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)
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raw_results = run_simulation(
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[param.model_dump(exclude_none=True) for param in parameters],
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iterations=payload.iterations,
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seed=payload.seed,
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)
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if not raw_results:
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raise HTTPException(
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status_code=status.HTTP_400_BAD_REQUEST,
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detail="Simulation produced no results",
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)
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# Persist results (replace existing values for scenario)
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db.query(SimulationResult).filter(
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SimulationResult.scenario_id == payload.scenario_id
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).delete()
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db.bulk_save_objects(
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[
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SimulationResult(
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scenario_id=payload.scenario_id,
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iteration=item["iteration"],
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result=item["result"],
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)
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for item in raw_results
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]
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)
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db.commit()
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summary = generate_report(raw_results)
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response = SimulationRunResponse(
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scenario_id=payload.scenario_id,
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iterations=payload.iterations,
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results=[
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SimulationResultItem(
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iteration=int(item["iteration"]),
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result=float(item["result"]),
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)
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for item in raw_results
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],
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summary=summary,
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)
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return response
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