Files
calminer/services/export_query.py
zwitschi 795a9f99f4 feat: Enhance currency handling and validation across scenarios
- Updated form template to prefill currency input with default value and added help text for clarity.
- Modified integration tests to assert more descriptive error messages for invalid currency codes.
- Introduced new tests for currency normalization and validation in various scenarios, including imports and exports.
- Added comprehensive tests for pricing calculations, ensuring defaults are respected and overrides function correctly.
- Implemented unit tests for pricing settings repository, ensuring CRUD operations and default settings are handled properly.
- Enhanced scenario pricing evaluation tests to validate currency handling and metadata defaults.
- Added simulation tests to ensure Monte Carlo runs are accurate and handle various distribution scenarios.
2025-11-11 18:29:59 +01:00

122 lines
3.8 KiB
Python

from __future__ import annotations
from dataclasses import dataclass
from datetime import date, datetime
from typing import Iterable
from models import MiningOperationType, ResourceType, ScenarioStatus
from services.currency import CurrencyValidationError, normalise_currency
def _normalise_lower_strings(values: Iterable[str]) -> tuple[str, ...]:
unique: set[str] = set()
for value in values:
if not value:
continue
trimmed = value.strip().lower()
if not trimmed:
continue
unique.add(trimmed)
return tuple(sorted(unique))
def _normalise_upper_strings(values: Iterable[str | None]) -> tuple[str, ...]:
unique: set[str] = set()
for value in values:
if value is None:
continue
candidate = value if isinstance(value, str) else str(value)
candidate = candidate.strip()
if not candidate:
continue
try:
normalised = normalise_currency(candidate)
except CurrencyValidationError as exc:
raise ValueError(str(exc)) from exc
if normalised is None:
continue
unique.add(normalised)
return tuple(sorted(unique))
@dataclass(slots=True, frozen=True)
class ProjectExportFilters:
"""Filter parameters for project export queries."""
ids: tuple[int, ...] = ()
names: tuple[str, ...] = ()
name_contains: str | None = None
locations: tuple[str, ...] = ()
operation_types: tuple[MiningOperationType, ...] = ()
created_from: datetime | None = None
created_to: datetime | None = None
updated_from: datetime | None = None
updated_to: datetime | None = None
def normalised_ids(self) -> tuple[int, ...]:
unique = {identifier for identifier in self.ids if identifier > 0}
return tuple(sorted(unique))
def normalised_names(self) -> tuple[str, ...]:
return _normalise_lower_strings(self.names)
def normalised_locations(self) -> tuple[str, ...]:
return _normalise_lower_strings(self.locations)
def name_search_pattern(self) -> str | None:
if not self.name_contains:
return None
pattern = self.name_contains.strip()
if not pattern:
return None
return f"%{pattern}%"
@dataclass(slots=True, frozen=True)
class ScenarioExportFilters:
"""Filter parameters for scenario export queries."""
ids: tuple[int, ...] = ()
project_ids: tuple[int, ...] = ()
project_names: tuple[str, ...] = ()
name_contains: str | None = None
statuses: tuple[ScenarioStatus, ...] = ()
start_date_from: date | None = None
start_date_to: date | None = None
end_date_from: date | None = None
end_date_to: date | None = None
created_from: datetime | None = None
created_to: datetime | None = None
updated_from: datetime | None = None
updated_to: datetime | None = None
currencies: tuple[str, ...] = ()
primary_resources: tuple[ResourceType, ...] = ()
def normalised_ids(self) -> tuple[int, ...]:
unique = {identifier for identifier in self.ids if identifier > 0}
return tuple(sorted(unique))
def normalised_project_ids(self) -> tuple[int, ...]:
unique = {identifier for identifier in self.project_ids if identifier > 0}
return tuple(sorted(unique))
def normalised_project_names(self) -> tuple[str, ...]:
return _normalise_lower_strings(self.project_names)
def name_search_pattern(self) -> str | None:
if not self.name_contains:
return None
pattern = self.name_contains.strip()
if not pattern:
return None
return f"%{pattern}%"
def normalised_currencies(self) -> tuple[str, ...]:
return _normalise_upper_strings(self.currencies)
__all__ = (
"ProjectExportFilters",
"ScenarioExportFilters",
)