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.

services/export_query.py

@@ -5,6 +5,7 @@ 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, ...]:
@@ -19,15 +20,22 @@ def _normalise_lower_strings(values: Iterable[str]) -> tuple[str, ...]:
     return tuple(sorted(unique))
 
 
-def _normalise_upper_strings(values: Iterable[str]) -> tuple[str, ...]:
+def _normalise_upper_strings(values: Iterable[str | None]) -> tuple[str, ...]:
     unique: set[str] = set()
     for value in values:
-        if not value:
+        if value is None:
             continue
-        trimmed = value.strip().upper()
-        if not trimmed:
+        candidate = value if isinstance(value, str) else str(value)
+        candidate = candidate.strip()
+        if not candidate:
             continue
-        unique.add(trimmed)
+        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))