add batch size normalisation to unit_conversion workflow #224
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WalkthroughAdds batch-size normalization (nearest 0.5) into AI workflows and strategies, emits Changes
Sequence Diagram(s)sequenceDiagram
participant FE as Frontend
participant API as Backend HTTP /convert-recipe
participant AI as AI Workflow (unit_conversion)
participant UC as UnitConverter / RecipeContext
FE->>API: POST /convert-recipe { recipe, target_system, normalize? }
API->>AI: execute unit_conversion workflow (convert & normalize steps)
AI->>UC: request conversions & normalizations (batch size, ingredients)
UC-->>AI: emit events (batch_size_converted / batch_size_normalized, ingredient changes)
AI->>API: return workflow result { transformed recipe, warnings }
API-->>FE: 200 OK { recipe, warnings }
Estimated code review effort🎯 4 (Complex) | ⏱️ ~45 minutes
Possibly related PRs
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✨ Finishing touches
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backend/services/ai/workflows/unit_conversion.yaml (2)
60-90: Parameter naming and values are consistent and well-documented.The batch size increment values (0.5L for metric, 0.5gal for imperial) and their comments with concrete examples are clear and reasonable for brewing use cases. The parameter placement alongside existing normalization parameters follows the established pattern.
83-83: Remove unsupportedbatch_size_incrementparameter from normalize_amounts_imperial strategy.The
NormalizeAmountsImperialStrategyimplementation does not accept or use thebatch_size_incrementparameter. This strategy only normalizes ingredient amounts (grains and hops) usinggrain_incrementandhop_increment. Thebatch_size_incrementparameter will be silently ignored and should be removed from the workflow configuration.Likely an incorrect or invalid review comment.
…for both metric and imperial) - Update tests
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🧹 Nitpick comments (2)
backend/services/ai/optimization_strategies.py (1)
1780-1807: Imperial batch size normalization mirrors metric path; optional deduplicationThe gallon normalization mirrors the metric implementation (0.5 gal increment, same tolerance and change structure) and matches the new tests’ expectations.
If you want to reduce duplication later, you could extract a small helper like
_normalize_batch_size(self, unit_aliases, increment, canonical_unit, reason_template)and call it from both metric and imperial strategies with the appropriate parameters. Not required for correctness, but it would centralize the rounding and threshold logic.backend/tests/test_unit_conversion_workflow.py (1)
397-473: Good coverage of normalization event; optionally also assert final recipe batch_sizeThese two tests nicely pin down the new
batch_size_normalizedchange (type, unit, and expected old/new ranges for both directions).If the workflow engine is expected to actually mutate the recipe’s
batch_size(the way ingredient conversion/normalization tests assert onimperial_recipe["ingredients"]), you might want to add assertions onrecipe["batch_size"]andrecipe["batch_size_unit"]after execution. That would catch any future regression where the event is emitted but the underlying recipe isn’t updated.Example (metric test):
assert 18.9 < recipe["batch_size"] < 19.1 assert recipe["batch_size_unit"].lower() in ["l", "liter", "liters", "litre", "litres"]Same idea for the imperial test with ~5.5 gal.
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backend/tests/test_unit_conversion_workflow.py (1)
backend/services/ai/flowchart_engine.py (3)
FlowchartEngine(34-440)from_yaml_file(374-382)execute_workflow(217-325)
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…e check and input validation - Add validate_ingredient_amounts method to beerxml routes - Add batch_size_normalized change_type to _apply_changes_to_recipe and recipe_context to allow for processing of normalising batch sizes from workflow
…dability and maintainability - Updated ReportBug.test.tsx to enhance formatting and consistency in test cases. - Refactored UserSettings.test.tsx to streamline imports and improve code clarity. - Mocked document methods in BeerXMLService.test.ts to avoid redefining the entire document object. - Improved assertions and spacing for better readability across all test files.
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Actionable comments posted: 3
🧹 Nitpick comments (11)
frontend/src/utils/chartInterpolationUtils.tsx (3)
15-22: Consider stronger typing for payload structure.The use of
any[]forpayloadand the catch-all index signature reduce type safety. While this provides flexibility with Recharts types, it increases the risk of runtime errors if the payload structure differs from expectations.Consider defining a more specific interface for the payload entries:
interface PayloadEntry { value: number | null | undefined; name?: string; color?: string; dataKey?: string; payload?: ChartDataPoint; [key: string]: any; // Keep this only if truly needed } interface CustomTooltipProps { active?: boolean; payload?: readonly PayloadEntry[]; label?: string | number; coordinate?: { x: number; y: number }; }This maintains flexibility while providing better IntelliSense and compile-time checks for the properties you actually use (lines 283-286, 292-296).
281-332: Extract formatting logic for better readability.The nested ternary for value formatting (lines 298-305) reduces readability. Consider extracting this into a helper function.
Add a helper function before the component:
function formatMetricValue(dataKey: string, value: number): string { switch (dataKey) { case 'gravity': return value.toFixed(3); case 'temperature': return Math.round(value).toString(); case 'ph': return value.toFixed(1); default: return value.toString(); } }Then replace lines 298-305 with:
const formattedValue = formatMetricValue(dataKey, value);
350-355: Consider the need for the backward compatibility wrapper.The
createCustomTooltipfunction simply returns theCustomTooltipcomponent. Since it accepts no parameters and adds no customization, it's effectively an alias. This may be intentional for preserving the API during migration, but consider removing it once all consumers are updated to useCustomTooltipdirectly.If this wrapper is no longer needed after the migration is complete, simplify the code by removing it and updating call sites to use
CustomTooltipdirectly:-const TooltipComponent = createCustomTooltip(); +const TooltipComponent = CustomTooltip;Or use it inline:
-<Tooltip content={createCustomTooltip()} /> +<Tooltip content={CustomTooltip} />frontend/tests/components/YeastInput.test.tsx (1)
178-178: Form submission pattern is appropriate but consider null safety.Using
fireEvent.submit(form)correctly tests the form submission flow rather than just button clicks. However, the non-null assertion (!) onclosest("form")will throw at runtime if the DOM structure changes and no form is found.Consider a safer pattern with explicit assertion:
-const form = addButton.closest("form")!; fireEvent.submit(form); +const form = addButton.closest("form"); +expect(form).not.toBeNull(); +fireEvent.submit(form!);This applies to all similar occurrences in this file.
backend/utils/unit_conversions.py (1)
4-49: Optional: Consider addingClassVartype annotations.Static analysis flagged that mutable class attributes should be annotated with
typing.ClassVar. While not strictly required for functionality, adding these annotations improves type safety and documentation:+from typing import ClassVar, Dict, List + class UnitConverter: - WEIGHT_UNITS = [...] + WEIGHT_UNITS: ClassVar[List[str]] = [...]backend/routes/beerxml.py (2)
158-209: Remove unuseduser_idvariable.The
user_idfromget_jwt_identity()is retrieved but never used. While@jwt_required()still enforces authentication, the unused variable should be removed to avoid confusion.@beerxml_bp.route("/convert-recipe", methods=["POST"]) @jwt_required() def convert_recipe(): - user_id = get_jwt_identity() + # Authentication enforced by @jwt_required() try:
212-296: Consider moving thecopyimport to module level.The
import copyinside the function works but is unconventional. Moving it to the module's imports section would be more idiomatic Python.# At top of file, add: +import copy # Then in the function: def convert_recipe_to_imperial(recipe, normalize=True): - import copy converted = copy.deepcopy(recipe)frontend/src/components/BeerXML/BeerXMLImportExport.tsx (1)
163-166: Consider surfacing conversion warnings to the user.Warnings from the conversion process are currently only logged to the console. If these warnings contain actionable information (e.g., suspicious ingredient amounts), consider displaying them to the user via a toast notification or inline warning.
// Log warnings if any if (warnings && warnings.length > 0) { console.warn("Recipe conversion warnings:", warnings); + // TODO: Consider displaying warnings to user via toast or inline message + // dispatch({ type: "SET_CONVERSION_WARNINGS", payload: warnings }); }frontend/src/services/BeerXML/BeerXMLService.ts (1)
93-119: convertRecipeUnits backend wiring looks correct; consider tightening types & error handlingThe new
convertRecipeUnitsflow is wired sensibly toApiService.beerxml.convertRecipeand returns{ recipe, warnings }in a shape that will be straightforward for callers to consume.A couple of small follow-ups you might consider:
- Since you always return an array (
warnings: (response.data as any).warnings || []), you could simplify the return type towarnings: string[](non‑optional) to avoid extra null/undefined checks downstream.- You currently cast
response.datatoanyand then toBeerXMLRecipe. It would be safer to align the Axios type inApiService.beerxml.convertRecipeso this method can rely on a typed response rather thanany, reducing the risk of missing fields (e.g.,ingredients) at runtime.- For consistency with
handleApiError, you may want to centralize error handling here as well, rather than constructing theErrormanually.None of these are blockers for correctness, but they’d make this path more robust and easier to maintain.
frontend/src/components/BeerXML/UnitConversionChoice.tsx (2)
5-14: Prop changes align with new flow; consider deprecating legacy props explicitlyUpdating the API to require
onImportAsMetric/onImportAsImperialmatches the new import-first unit selection flow. KeepingrecipeUnitSystemandrecipeNameoptional for backwards compatibility is reasonable; if you plan to phase them out, you might want to mark them as@deprecatedin the prop interface JSDoc so callers get a clearer signal from tooling.
16-28: Null guard for userUnitSystem is defensive; be aware of side effects in renderThe defensive guard against a null
userUnitSystemplus logging and callingonCancelis pragmatic and should avoid the dialog rendering in an invalid state.One minor consideration: invoking
onCancelinside the render path can cause repeated cancel attempts if the parent continues to passnull. If this ever shows up in practice, you could instead render a minimal fallback (or move the guard to the caller), but it’s not a blocker as‑is.
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📒 Files selected for processing (24)
backend/routes/beerxml.py(12 hunks)backend/tests/test_beerxml.py(1 hunks)backend/utils/unit_conversions.py(5 hunks)frontend/package.json(2 hunks)frontend/src/components/BeerXML/BeerXMLImportExport.tsx(5 hunks)frontend/src/components/BeerXML/UnitConversionChoice.tsx(2 hunks)frontend/src/constants/version.ts(1 hunks)frontend/src/pages/ViewRecipe.tsx(1 hunks)frontend/src/services/BeerXML/BeerXMLService.ts(3 hunks)frontend/src/services/api.ts(3 hunks)frontend/src/types/api.ts(7 hunks)frontend/src/types/brew-session.ts(1 hunks)frontend/src/types/recipe.ts(1 hunks)frontend/src/utils/chartInterpolationUtils.tsx(2 hunks)frontend/tests/components/BeerXMLImportExport.test.tsx(21 hunks)frontend/tests/components/FermentableInput.test.tsx(10 hunks)frontend/tests/components/HopInput.test.tsx(35 hunks)frontend/tests/components/OtherInput.test.tsx(11 hunks)frontend/tests/components/YeastInput.test.tsx(11 hunks)frontend/tests/pages/AttenuationAnalytics.test.tsx(12 hunks)frontend/tests/pages/FeatureRequest.test.tsx(20 hunks)frontend/tests/pages/ReportBug.test.tsx(18 hunks)frontend/tests/pages/UserSettings.test.tsx(13 hunks)frontend/tests/services/BeerXMLService.test.ts(1 hunks)
✅ Files skipped from review due to trivial changes (6)
- frontend/src/types/recipe.ts
- frontend/tests/pages/FeatureRequest.test.tsx
- frontend/tests/pages/UserSettings.test.tsx
- frontend/tests/pages/ReportBug.test.tsx
- frontend/tests/pages/AttenuationAnalytics.test.tsx
- frontend/src/types/api.ts
🧰 Additional context used
🧬 Code graph analysis (5)
frontend/src/components/BeerXML/BeerXMLImportExport.tsx (3)
frontend/src/types/units.ts (1)
UnitSystem(2-2)frontend/src/services/index.ts (1)
Services(62-112)frontend/src/services/BeerXML/BeerXMLService.ts (1)
BeerXMLRecipe(16-19)
frontend/src/types/brew-session.ts (2)
frontend/src/reducers/brewSessionReducer.ts (1)
CreateBrewSessionFormData(6-12)frontend/src/reducers/index.ts (1)
CreateBrewSessionFormData(68-68)
frontend/src/services/api.ts (4)
frontend/src/types/recipe.ts (1)
Recipe(145-181)backend/models/mongo_models.py (1)
Recipe(573-753)frontend/src/types/beerxml.ts (1)
UnitSystem(16-16)frontend/src/types/units.ts (1)
UnitSystem(2-2)
backend/routes/beerxml.py (1)
backend/utils/unit_conversions.py (4)
convert_volume(149-166)round_to_brewing_precision(179-219)convert_weight(119-136)convert_each_to_weight(274-293)
frontend/src/components/BeerXML/UnitConversionChoice.tsx (1)
frontend/src/types/beerxml.ts (1)
UnitSystem(16-16)
🪛 Ruff (0.14.7)
backend/routes/beerxml.py
177-177: Local variable user_id is assigned to but never used
Remove assignment to unused variable user_id
(F841)
207-207: Do not catch blind exception: Exception
(BLE001)
209-209: Use explicit conversion flag
Replace with conversion flag
(RUF010)
backend/utils/unit_conversions.py
5-19: Mutable class attributes should be annotated with typing.ClassVar
(RUF012)
21-47: Mutable class attributes should be annotated with typing.ClassVar
(RUF012)
49-49: Mutable class attributes should be annotated with typing.ClassVar
(RUF012)
53-70: Mutable class attributes should be annotated with typing.ClassVar
(RUF012)
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🔇 Additional comments (21)
frontend/src/constants/version.ts (1)
7-7: APP_VERSION bump looks consistentAPP_VERSION is now "1.11.0" and matches the frontend/package.json version field; no issues from this change.
frontend/src/types/brew-session.ts (1)
101-113: Formatting-only change to UpdateBrewSessionFormDataThe inline
extends Partial<CreateBrewSessionFormData>is a style-only adjustment; exported type shape is unchanged and remains correct.frontend/tests/components/FermentableInput.test.tsx (1)
163-163: Consistent form submission pattern across test files.The change to form submission aligns with the component's actual behavior and matches the pattern used in other ingredient input tests in this PR.
frontend/tests/components/OtherInput.test.tsx (1)
168-168: LGTM - consistent with the test refactoring pattern.Form submission testing is appropriate for validating the component's submission flow.
frontend/tests/components/HopInput.test.tsx (1)
154-156: Form submission pattern correctly implemented.The multiline format for form submission is clearer than the single-line version used in other files. The approach correctly tests form submission behavior.
backend/utils/unit_conversions.py (3)
53-70: Good approach with flexible key matching for item names.The dual key format (e.g.,
vanilla_beanandvanilla bean) allows flexible matching regardless of how item names are formatted in the input. This defensive approach handles common naming variations.
273-293: Well-structured conversion method with sensible defaults.The
convert_each_to_weightmethod correctly handles item-to-weight conversion with:
- Case-insensitive item name lookup
- Fallback to default (28g/1oz per item)
- Support for both metric and imperial targets
380-384: Early return for count-based units is appropriate.Returning early for
each/itemunits correctly defers conversion to export time (e.g., BeerXML export), where theconvert_each_to_weightmethod can be used.frontend/src/pages/ViewRecipe.tsx (1)
146-152: Ownership check is properly defensive.The Boolean expression correctly guards against all null/undefined cases:
currentUser &&- ensures user is loadedrecipe &&- ensures recipe exists (already checked above, but defensive)currentUser.user_id &&- ensures user has an IDrecipe.user_id &&- ensures recipe has a user IDString(...)comparison - handles potential type mismatches between string/number IDsThis is safe and the
Boolean()wrapper ensures a clean boolean result.backend/tests/test_beerxml.py (1)
761-761: Test expectation correctly reflects metric base unit conversion.The BeerXML parser explicitly converts fermentable amounts from the BeerXML standard (kilograms) to grams with brewing-precision rounding. Line 677 in
backend/routes/beerxml.pyhardcodesunit = "g"for all grain ingredients, and the parse_fermentables function consistently applies this conversion. The test assertionpale_malt["unit"] == "g"is correct and aligns with the documented metric-first handling in the parser implementation.frontend/tests/services/BeerXMLService.test.ts (1)
45-65: LGTM! Clean mock setup for anchor-based downloads.The approach of storing the original
createElementand conditionally returning the mock anchor only for'a'elements is a good pattern that preserves normal DOM behavior for other elements while enabling download testing.frontend/src/services/api.ts (1)
481-488: LGTM! Well-typed API endpoint addition.The new
convertRecipeendpoint is properly typed with the correct request payload and response structure matching the backend contract. The optionalnormalizeparameter aligns with the backend's default oftrue.frontend/tests/components/BeerXMLImportExport.test.tsx (2)
42-42: LGTM! Mock updated to match new API contract.The mock correctly returns
{ recipe, warnings: [] }to align with the updatedconvertRecipeUnitsreturn type that includes a warnings array.
47-62: LGTM! Mock component updated for renamed props.The mock
UnitConversionChoicecorrectly reflects the renamed handler props (onImportAsMetric,onImportAsImperial) and updated UI labels.backend/routes/beerxml.py (2)
492-544: Good fix for tsp/tbsp unit classification.Moving
tsp,tbsp, and related volume units out of the weight category and into volume is correct. Teaspoons and tablespoons are volumetric measurements, not weights.
1455-1615: Comprehensive ingredient validation with actionable warnings.The
validate_ingredient_amountsfunction provides valuable sanity checks for imported recipes, detecting common BeerXML export issues like unit conversion errors. The suggested fixes for detected anomalies (e.g.,suggested_fixfield) are helpful for downstream correction logic.frontend/src/components/BeerXML/BeerXMLImportExport.tsx (3)
91-101: LGTM! Correct assumption that BeerXML is always metric.Per the BeerXML specification, all measurements are stored in metric units (kg, L). Hardcoding
recipeUnitSystem: "metric"and always showing the unit conversion choice is the correct approach.
111-146: LGTM! Clean metric normalization flow.The
handleImportAsMetrichandler correctly normalizes the already-metric BeerXML recipe and proceeds to ingredient matching with the updated recipe state.
368-369: LGTM! Props correctly updated to match new handler names.The
UnitConversionChoicecomponent now receivesonImportAsMetricandonImportAsImperialhandlers, aligning with the updated component API.frontend/src/services/BeerXML/BeerXMLService.ts (1)
67-87: Clarifying BeerXML metric assumption looks goodThe added comments around BeerXML always being metric and the backend returning metric make the parse path easier to reason about, without changing behavior. The mapping from
response.data.recipestoBeerXMLRecipe[]remains consistent with the existing type shape.frontend/src/components/BeerXML/UnitConversionChoice.tsx (1)
39-117: Metric/imperial choice UI and handlers look consistent with requirementsThe updated dialog copy, badges, and button wiring all line up with the new metric/imperial import semantics:
- Cards highlight the user’s preferred system via the
"recommended"class and “Your Preference” badge.- Metric and imperial actions are clearly separated and correctly bound to
onImportAsMetric/onImportAsImperial.isConvertingdisables both actions and shows a spinner + “Converting...” label, which should prevent duplicate submissions.- ARIA labels and the dialog title/description keep the interaction accessible and self‑describing.
This all looks coherent with the normalized unit-conversion workflow.
…ypeScript version back to 4.9.5 for compatability with react-scripts
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Actionable comments posted: 3
♻️ Duplicate comments (1)
backend/utils/unit_conversions.py (1)
202-222: Rounding behavior preserves precision for the normalization workflow.The change to round grain/hop/yeast to 6 decimal places (instead of applying brewing-friendly rounding) correctly defers normalization to the conversion workflow. This addresses the design intent mentioned in the comments.
Note: As flagged in a past review, this means API responses may include values like
1.234567 oz. Ensure the frontend or a display layer applies user-friendly rounding before showing these values to users.
🧹 Nitpick comments (11)
frontend/tests/components/BeerStyleSelector.test.tsx (1)
480-481: Test doesn't verify maxResults behavior.The test name claims to verify that
maxResultsis respected, but the assertion only confirms the component renders. Consider enhancing this test to actually verify that no more than 5 results appear in the dropdown whenmaxResults={5}is set.Example enhancement:
- // Verify the maxResults prop is respected (component renders successfully) - expect(screen.getByPlaceholderText('Select or search beer style...')).toBeInTheDocument(); + const user = userEvent.setup(); + const input = await screen.findByPlaceholderText('Select or search beer style...'); + + // Open dropdown and verify at most 5 results are shown + await user.click(input); + const dropdownItems = screen.queryAllByRole('option'); + expect(dropdownItems.length).toBeLessThanOrEqual(5);backend/routes/beerxml.py (2)
159-209: Endpoint implementation looks solid with proper validation.The
/convert-recipeendpoint correctly validates input, handles both metric and imperial conversions, and returns appropriate error responses. A few observations:
Line 203:
warnings = []is initialized but never populated. Consider adding validation warnings fromvalidate_ingredient_amounts()to provide useful feedback to the caller.Static analysis flagged line 207 for catching blind
Exception. While this is acceptable for a top-level route handler, consider logging the full traceback for debugging.- warnings = [] # Could add validation warnings here + # Add validation warnings for the converted recipe + warnings = validate_ingredient_amounts(converted_recipe) return jsonify({"recipe": converted_recipe, "warnings": warnings}), 200 except Exception as e: - print(f"Recipe conversion error: {e}") + import traceback + print(f"Recipe conversion error: {e}\n{traceback.format_exc()}") return jsonify({"error": f"Failed to convert recipe: {str(e)}"}), 500
1454-1614: Comprehensive ingredient validation with sensible thresholds.The
validate_ingredient_amountsfunction provides good heuristics for detecting common BeerXML import issues:
- Grain: 50-800 g/L range
- Hops: 0.1-15 g/L range
- Yeast: 5-100g range with 10x error detection
- Specific item detection (whirlfloc, water salts)
A few considerations:
Lines 1468-1471: The gallon-to-liter conversion uses a hardcoded factor. Consider using
UnitConverter.convert_volume()for consistency.The function doesn't handle the case where
batch_sizemight be 0 or negative, which would cause division errors at lines 1493, 1520.+ # Validate batch size + if batch_size_liters <= 0: + warnings.append({ + "ingredient": "batch_size", + "type": "recipe", + "amount": batch_size, + "unit": batch_unit, + "issue": "invalid_batch_size", + "message": "Batch size must be greater than zero" + }) + return warnings # Can't validate per-liter ratios without valid batch size + ingredients = recipe_data.get("ingredients", [])backend/utils/unit_conversions.py (2)
56-73: AddClassVarannotation toEACH_TO_WEIGHT_DEFAULTS.Static analysis correctly flags that this mutable class attribute should be annotated with
ClassVarfor consistency with the other unit classification constants.+ from typing import ClassVar, Dict, List + # Default weight conversions for 'each'/'item' units (in grams and ounces) # These are used when exporting to BeerXML - EACH_TO_WEIGHT_DEFAULTS = { + EACH_TO_WEIGHT_DEFAULTS: ClassVar[Dict[str, Dict[str, float]]] = { # Default: 1 oz (28g) per item "default": {"g": 28, "oz": 1},Note:
Dictneeds to be imported fromtypingon line 1 alongside the existing imports.
276-296:convert_each_to_weightimplementation is correct.The method properly handles item-specific lookups with case-insensitive matching and falls back to a sensible default. One edge case to consider: if
target_unitis neither"g"nor"oz", aKeyErrorwill occur.@classmethod def convert_each_to_weight(cls, amount, target_unit="g", item_name=None): """ Convert 'each'/'item' count to weight for BeerXML export Args: amount: Number of items target_unit: "g" or "oz" (default "g") item_name: Optional name for specific conversion Returns: Weight equivalent in target unit """ + # Validate target unit + if target_unit not in ["g", "oz"]: + target_unit = "g" # Default to grams for unknown units + # Try specific item lookup (case-insensitive) if item_name: item_key = item_name.lower().strip() if item_key in cls.EACH_TO_WEIGHT_DEFAULTS: return amount * cls.EACH_TO_WEIGHT_DEFAULTS[item_key][target_unit] # Default: 1 oz (28g) per item return amount * cls.EACH_TO_WEIGHT_DEFAULTS["default"][target_unit]frontend/src/utils/chartInterpolationUtils.tsx (2)
24-31: Consider narrowing the index signature.Line 30 uses
[key: string]: any;to allow additional Recharts properties. While this provides flexibility, it also weakens type safety. Consider if you can narrow this to known optional properties from Recharts' TooltipContentProps instead.
246-257: Consider stricter typing for dataKey parameter.The
dataKeyparameter is typed asstring, but only handles specific values ("gravity", "temperature", "ph"). Consider using a union type for stronger type safety and better autocomplete.Apply this diff to strengthen the type:
-function formatMetricValue(dataKey: string, value: number): string { +function formatMetricValue( + dataKey: "gravity" | "temperature" | "ph" | string, + value: number +): string {frontend/tests/pages/AttenuationAnalytics.test.tsx (4)
68-119: Shared mock setup is solid; consider tightening the “no data” guardCentralizing
hasSignificantData,getConfidenceLevel,formatConfidence, andformatAttenuationDifferenceinbeforeEachreads well and matches later expectations. One minor improvement: the guardif (!theoretical || !actual) { ... }will also treat
0(orNaN) as “no data”. If you ever test edge cases where0is a valid attenuation value, you may want to switch to explicit null/undefined checks, e.g.:if (theoretical == null || actual == null) { ... }to avoid conflating real zeroes with missing values.
173-197: Retry test name vs behavior are slightly misalignedThe “handles retry button click” test currently only asserts that the retry button renders and is enabled, without actually firing a click or asserting a side effect (understandable given the Jest 30
window.location.reloadconstraints). To better reflect intent, consider either:
- Renaming to something like “renders enabled retry button” or
- Firing a click and asserting a more local effect if you ever refactor away from a hard page reload.
202-351: Successful-load tests give good coverage; one tiny comment nitThe successful path tests (header/description, stats, top performers, improvements, significance filter) are nicely structured and exercise both content and data‑processing expectations.
Minor nit: the inline comment
// Nottingham: 75-73 = 2% improvementis mathematically a 2% decrease relative to the theoretical value. Consider rephrasing to “2% difference (lower)” or similar to avoid confusion for future readers.
604-647: CSS/structure assertions are reasonable for layout‑oriented coverageThe structural checks against
.analytics-page,.analytics-header,.stats-grid,.analytics-content, and.stat-card(including.highlight/.success) are consistent with the rest of the suite and give a light sanity check on layout without over‑specifying content. Just be aware these tests will naturally be somewhat brittle to future class‑name changes, which may be acceptable for this page.
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backend/routes/beerxml.py (1)
backend/utils/unit_conversions.py (4)
convert_volume(152-169)round_to_brewing_precision(182-222)convert_weight(122-139)convert_each_to_weight(277-296)
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backend/routes/beerxml.py
207-207: Do not catch blind exception: Exception
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209-209: Use explicit conversion flag
Replace with conversion flag
(RUF010)
backend/utils/unit_conversions.py
56-73: Mutable class attributes should be annotated with typing.ClassVar
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🔇 Additional comments (14)
backend/routes/beerxml.py (4)
212-295: Imperial conversion logic is well-structured.The
convert_recipe_to_imperialfunction correctly handles:
- Batch size conversion (L → gal)
- Boil size conversion
- Ingredient type-specific conversions (grain/hop → oz, misc → oz/floz)
- Proper normalization when enabled
One edge case: yeast ingredients in grams (
unit == "g") are not converted to imperial units. The comment says "leave as-is" but this may be intentional since yeast is typically measured in packages. Please verify this is the desired behavior.
491-543: Good improvement to misc ingredient unit handling.The fix correctly categorizes
tsp/tbspas volume units rather than weight units, and properly handleseach/itemconversions with notes for traceability. The fallback for unknown units with a warning log is appropriate.
596-646: BeerXML parsing now stores metric values consistently.The changes ensure parsed recipes always store batch size in liters with proper metadata preservation (
beerxml_display_batch_size). The integration ofvalidate_ingredient_amountsinto the parsing flow is a good addition for data quality.
655-709: Fermentables parsing correctly converts to metric base units.The conversion from BeerXML kg to internal grams storage is correct. The rounding to brewing precision helps maintain clean values.
backend/utils/unit_conversions.py (3)
7-52: Unit classification constants are well-organized.The
WEIGHT_UNITS,VOLUME_UNITS, andCOUNT_UNITSlists provide clear categorization. Note that"L"(capital) appears inVOLUME_UNITSbut the corresponding entry inVOLUME_TO_LITERSis also present, which is good for case handling.
115-118: Good addition of teaspoon/tablespoon volume conversions.Adding
tspandtbsptoVOLUME_TO_LITERSaligns with the fix inbeerxml.pythat correctly treats these as volume units rather than weight units.
383-387: Early return foreach/itemunits prevents unintended conversions.This correctly preserves count-based units during internal storage, deferring conversion to the BeerXML export phase where
convert_each_to_weightis called.frontend/src/utils/chartInterpolationUtils.tsx (2)
269-273: Good improvement on type safety!The previous review flagged the use of
(payload[0] as any)?.payloadwhich bypassed TypeScript's type checking. The current implementation correctly usespayload[0]?.payloadwith proper optional chaining and nullish coalescing, allowing TypeScript to infer the type from thePayloadEntryinterface. This is a solid improvement.
365-370: LGTM!The backward compatibility wrapper correctly returns the
CustomTooltipcomponent, maintaining the existing API while supporting the new direct export pattern.frontend/tests/pages/AttenuationAnalytics.test.tsx (5)
123-132: Loading-state test pattern looks goodUsing never‑resolving Promises for both service calls is a clean way to assert the initial loading UI without worrying about race conditions; the expectations line up with the component’s likely initial render.
144-168: Error-state test is thorough and restores console spy correctlyThe test cleanly mocks rejections from both service methods, asserts the error UI, and verifies the logged error while restoring the
console.errorspy afterward. This keeps global state clean for subsequent tests.
355-416: No‑data and “no significant data” branches are well exercisedThe tests around empty analytics and
hasSignificantDatareturningfalseappropriately assert that the “no data” messaging shows up while the top-performers/improvements sections do not. The overrides of the default mock behavior are clear and localized to each test.
421-524: Service-call and formatter interaction tests are preciseThe “Service Method Calls” block cleanly verifies:
- Both service methods are invoked on mount,
- They’re treated as parallel calls (via separate spies),
formatConfidence,getConfidenceLevel, andformatAttenuationDifferenceare called with the expected per‑strain values.Using direct mocks plus
spyOnis consistent and keeps intent clear.
528-600: Data-processing limits for top performers and improvements look correctThe synthetic
manyYeastdatasets for:
- limiting top performers to ≤10 and
- limiting improvements to ≤5
are straightforward and effectively validate the slicing logic without overfitting to particular names or IDs. The descending/ascending data‑point and difference patterns make the tests easy to reason about.
…ging; centralize display precision logic
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🧹 Nitpick comments (5)
frontend/src/utils/chartInterpolationUtils.tsx (1)
245-259: Consider tightening the dataKey type for better type safety.The union type
"gravity" | "temperature" | "ph" | stringeffectively becomes juststringbecause TypeScript'sstringtype absorbs the literal types. While functionally correct, this reduces the type safety benefits.If the function should handle both known metrics and unknown dataKeys, consider using function overloads for stricter typing:
function formatMetricValue(dataKey: "gravity", value: number): string; function formatMetricValue(dataKey: "temperature", value: number): string; function formatMetricValue(dataKey: "ph", value: number): string; function formatMetricValue(dataKey: string, value: number): string; function formatMetricValue( dataKey: "gravity" | "temperature" | "ph" | string, value: number ): string { // ... existing implementation }Alternatively, if only the three metrics are expected, remove
| stringentirely:-function formatMetricValue( - dataKey: "gravity" | "temperature" | "ph" | string, - value: number -): string { +function formatMetricValue( + dataKey: "gravity" | "temperature" | "ph", + value: number +): string {backend/routes/beerxml.py (3)
211-213: Address static analysis hints in exception handling.Two minor issues flagged by Ruff:
logging.exception()already captures the exception, makingeredundant in the format args{str(e)}can use{e!s}conversion flag for cleaner codeexcept Exception as e: - logger.exception("Recipe conversion error: %s", e) - return jsonify({"error": f"Failed to convert recipe: {str(e)}"}), 500 + logger.exception("Recipe conversion error") + return jsonify({"error": f"Failed to convert recipe: {e!s}"}), 500
539-546: Consider using logger instead of print for consistency.The file now has a
loggerinstance (line 16), but this warning still usesprint(). For consistent logging and better log management in production, consider switching tologger.warning().else: # Unknown unit - default to weight (grams) - print( - f"Warning: Unknown misc unit '{misc_ing.unit}' for {misc_ing.name} - treating as grams" + logger.warning( + "Unknown misc unit '%s' for %s - treating as grams", + misc_ing.unit, + misc_ing.name, ) amount_kg = misc_ing.amount / 1000 # Assume grams
1463-1508: Redundant import and manual unit conversion.Two issues in this section:
UnitConverteris already imported at line 14; the local import is unnecessary.- Manual conversion factors (lines 1502-1507) duplicate logic in
UnitConverter.convert_weight().def validate_ingredient_amounts(recipe_data): """ Validate ingredient amounts for a recipe and flag suspicious values. Returns a list of warnings for ingredients that seem unreasonable. These are common issues from BeerXML exports with unit conversion problems. """ - from utils.unit_conversions import UnitConverter - warnings = []For the manual conversion, consider using
UnitConverter.convert_weight(amount, unit, "g")instead:# Convert to standard units for comparison (grams for weight) - amount_g = amount - if unit.lower() in ["kg", "kilogram", "kilograms"]: - amount_g = amount * 1000 - elif unit.lower() in ["oz", "ounce", "ounces"]: - amount_g = amount * 28.3495 - elif unit.lower() in ["lb", "lbs", "pound", "pounds"]: - amount_g = amount * 453.592 + try: + amount_g = UnitConverter.convert_weight(amount, unit, "g") + except (KeyError, ValueError): + amount_g = amount # Assume grams if conversion failsbackend/utils/unit_conversions.py (1)
54-73: Consider normalizing item names during lookup instead of duplicating entries.The dictionary contains duplicate entries with both underscore and space variants (e.g.,
"vanilla_bean"and"vanilla bean"). While this works, it creates maintenance overhead. Consider normalizing the item name during lookup (line 296) by replacing both underscores and spaces with a consistent separator, then maintain only one variant per item.Apply this approach:
@classmethod def convert_each_to_weight(cls, amount, target_unit="g", item_name=None): """ Convert 'each'/'item' count to weight for BeerXML export Args: amount: Number of items target_unit: "g" or "oz" (default "g") item_name: Optional name for specific conversion Returns: Weight equivalent in target unit """ # Validate target unit if target_unit not in ["g", "oz"]: target_unit = "g" # Default to grams # Try specific item lookup (case-insensitive) if item_name: - item_key = item_name.lower().strip() + # Normalize: replace underscores and spaces with a single separator + item_key = item_name.lower().strip().replace(" ", "_") if item_key in cls.EACH_TO_WEIGHT_DEFAULTS: return amount * cls.EACH_TO_WEIGHT_DEFAULTS[item_key][target_unit] # Default: 1 oz (28g) per item return amount * cls.EACH_TO_WEIGHT_DEFAULTS["default"][target_unit]Then remove the duplicate space-separated entries from the dictionary.
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frontend/src/contexts/UnitContext.ts (1)
frontend/src/utils/formatUtils.ts (1)
getDisplayPrecision(182-212)
frontend/src/utils/formatUtils.ts (1)
frontend/src/types/units.ts (1)
MeasurementType(20-28)
frontend/tests/utils/formatUtils.test.ts (1)
frontend/src/utils/formatUtils.ts (1)
formatGrainWeight(331-377)
backend/routes/beerxml.py (1)
backend/utils/unit_conversions.py (4)
convert_volume(152-169)round_to_brewing_precision(182-222)convert_weight(122-139)convert_each_to_weight(277-301)
🪛 Ruff (0.14.7)
backend/routes/beerxml.py
212-212: Redundant exception object included in logging.exception call
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213-213: Use explicit conversion flag
Replace with conversion flag
(RUF010)
🔇 Additional comments (17)
frontend/src/utils/chartInterpolationUtils.tsx (1)
264-365: LGTM! Previous type safety concerns have been resolved.The refactoring successfully addresses the major type safety issues flagged in earlier reviews:
- Line 274 now uses safe optional chaining (
payload[0]?.payload) instead of casting toany- Line 305 correctly types the map callback parameter as
PayloadEntryinstead ofany- Defensive null/undefined handling with optional chaining and nullish coalescing throughout
The component logic is sound, with appropriate interpolation detection and formatting.
backend/routes/beerxml.py (8)
1-18: LGTM!Module-level imports and logger setup are clean. The
copyimport is now properly at the module level, addressing the past review feedback.
216-300: LGTM!The imperial conversion logic is well-structured:
- Properly deep-copies to avoid mutation
- Correctly handles batch/boil size and ingredient conversions
- Appropriately leaves yeast packages unconverted
302-357: LGTM!Metric normalization logic is clean and consistent. The previous issue with redundant
import copyinside the function has been addressed.
599-650: LGTM!Good architectural decision to store all values in metric (liters, grams) per BeerXML spec, deferring conversion to the user's preferred system via the conversion endpoint. Validation warnings are properly integrated into the metadata.
668-675: LGTM!Correctly converts BeerXML kg values to grams for internal metric storage, with appropriate brewing precision rounding.
725-732: LGTM!Consistent with fermentables - properly converts BeerXML kg to grams with hop-specific brewing precision.
836-848: LGTM!Properly handles both weight (kg→g) and volume (L→ml) conversions for misc ingredients per BeerXML spec.
1509-1633: LGTM!The validation logic is comprehensive with sensible brewing thresholds. Good inclusion of:
- Per-liter ratios for batch-size-normalized validation
- Specific detection for common issues (10x multiplication errors, tablet unit conversions)
- Structured warnings with suggested fixes for actionable items
backend/utils/unit_conversions.py (5)
1-2: LGTM!The typing imports are appropriate for the class variable type hints added throughout the file.
76-76: LGTM!The type annotations are correct and improve code clarity.
Also applies to: 93-93
115-118: LGTM!The teaspoon and tablespoon conversions are accurate for US measurements and are useful additions for small-volume brewing ingredients.
276-301: LGTM!The method correctly handles the conversion of count-based units to weight for BeerXML export. The validation, lookup logic, and fallback to defaults are all appropriate. The item name normalization concern is already covered in the previous comment about duplicate dictionary entries.
388-392: LGTM!The early return for count-based units correctly preserves
'each'and'item'units for internal storage, deferring weight conversion to BeerXML export time. This maintains a clean separation between storage representation and export formats.frontend/tests/utils/formatUtils.test.ts (1)
355-359: Updated grain-weight expectations correctly reflect new rounding behaviorThe new expectations for
formatGrainWeight(2.2, "lb", "metric")→"998 g"andformatGrainWeight(16, "oz", "metric")→"454 g"line up with the underlying conversions and the centralized precision rule of whole grams for larger metric weights. This keeps tests honest with the actual formatting behavior.frontend/src/utils/formatUtils.ts (1)
178-212: Centralized precision logic is intentional; no call sites rely on custom precision for handled typesThe new
getDisplayPrecisionhelper and refactoredformatValueStandalone/UnitContext.formatValueprovide a single source of truth for rounding across weight, hop weight, volume, and temperature. For these types, theprecisionparameter is effectively ignored—getDisplayPrecisionalways returns explicit values based on unit and value magnitude. For other measurement types (e.g.,"time","pressure","yeast","other"), theprecisionparameter is passed through asdefaultPrecision.This design is intentional and verified to be working correctly. All call sites in the codebase (formatUtils.ts lines 315, 326, 352, 375, 400, 413, 539–542, 547, and tests) invoke
formatValueStandaloneandUnitContext.formatValuewith only three arguments, relying entirely on the centralized precision rules for handled types. No callers attempt to override precision for weight, volume, or temperature, so the refactor poses no behavioral risk.frontend/src/contexts/UnitContext.ts (1)
16-16: Context formatter now aligns with shared precision rulesImporting
getDisplayPrecisionand delegatingformatValue's rounding to it brings the UnitContext formatter in line with the standalone utilities. For"volume","weight","hop_weight", and"temperature", the displayed precision is now entirely determined bygetDisplayPrecisionbased on the value and unit, independent of anyprecisionparameter passed toformatValue.
…l rounding increments for grains, hops, and yeast
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backend/utils/unit_conversions.py (1)
181-305: Imperial yeast rounding can zero-out realistic amounts after g→lb/oz conversionIn
round_to_brewing_precision, the imperial yeast branch:elif ingredient_type == "yeast": # Yeast in grams - round to nearest gram return round(amount)is problematic when used from
normalize_ingredient_data:
- For
target_unit_system="imperial", yeast weights in grams are converted viaconvert_weighttolb/ozbased onget_appropriate_unit.- Typical weights (e.g., 11.5 g dry yeast) become very small in pounds:
11.5 g → ~0.025 lb.- Passing that into this branch returns
round(0.025) == 0, effectively normalizing a real yeast addition down to zero.That’s a functional bug when imperial normalization is applied to yeast.
A minimal fix is to preserve some decimal precision for imperial yeast amounts instead of rounding to an integer:
if unit_system == "imperial": if ingredient_type == "grain": @@ - elif ingredient_type == "yeast": - # Yeast in grams - round to nearest gram - return round(amount) + elif ingredient_type == "yeast": + # Yeast amounts are typically small; keep 2-decimal precision + # so g→lb/oz conversions (e.g. 11.5g → 0.025lb) are not + # rounded down to zero. + return round(amount, 2)You may also want to revisit whether yeast should be normalized in imperial at all (e.g., leave weights as-is or rely on package-count normalization), but at minimum it should not be rounded to 0.
♻️ Duplicate comments (1)
backend/utils/unit_conversions.py (1)
7-52: Unit classification lists are still unused within this module
WEIGHT_UNITS,VOLUME_UNITS, andCOUNT_UNITSremain unused here, while unit checks still derive fromWEIGHT_TO_GRAMS/VOLUME_TO_LITERSor hard‑coded lists (e.g.,["each", "item"]innormalize_ingredient_data).Either:
- Wire these constants into classification/validation (e.g.,
validate_unit,normalize_ingredient_data,is_base_unit) so they are the single source of truth, or- Document that they are exported for external consumers and intentionally unused here.
Right now they add duplication and potential drift between the lists and the actual conversion maps.
🧹 Nitpick comments (2)
backend/utils/unit_conversions.py (2)
54-73: Align count-unit handling with COUNT_UNITS and harden convert_each_to_weightThe per-item defaults and conversion helper are useful, but a few cohesion/robustness gaps stand out:
COUNT_UNITSincludes"pkg","package","packages"butnormalize_ingredient_data()only special-cases"each"/"item", andconvert_each_to_weight()doesn’t useCOUNT_UNITSat all.convert_each_to_weight()treatstarget_unitcase-sensitively and silently falls back to grams for anything not exactly"g"/"oz";"G"or"OZ"will unexpectedly yield grams.- The early return in
normalize_ingredient_data()for"each"/"item"duplicates knowledge that already exists inCOUNT_UNITS.Consider centralizing this:
- Use
COUNT_UNITSinnormalize_ingredient_data()(e.g.,if current_unit.lower() in [u.lower() for u in cls.COUNT_UNITS]: ...) so all count-like units are handled consistently.- In
convert_each_to_weight(), normalizetarget_unit = target_unit.lower().strip()before validating so callers don’t have to care about case.- Optionally, have
convert_each_to_weight()also treat units fromCOUNT_UNITSas valid “count” triggers if you ever widen its call sites.Example adjustment:
- def convert_each_to_weight(cls, amount, target_unit="g", item_name=None): + def convert_each_to_weight(cls, amount, target_unit="g", item_name=None): @@ - # Validate target unit - if target_unit not in ["g", "oz"]: + # Normalize and validate target unit + target_unit = str(target_unit).lower().strip() + if target_unit not in ["g", "oz"]: target_unit = "g" # Default to gramsAnd in
normalize_ingredient_data:- # Handle 'each'/'item' units - keep as-is for internal storage - if current_unit.lower() in ["each", "item"]: + # Handle count-like units - keep as-is for internal storage + if current_unit.lower() in [u.lower() for u in cls.COUNT_UNITS]:Also applies to: 359-385, 471-476
115-118: Comment about non-convertible units is now stale with tsp/tbsp support
tsp/tbspare newly added toVOLUME_TO_LITERS, sonormalize_to_base_unitwill now convert them via the volume branch. The comment:# Keep non-convertible units as-is (e.g., pkg, tsp, etc.)is no longer accurate.
Recommend updating the example to avoid
tsp(andtbsp) to prevent future confusion:- else: - # Keep non-convertible units as-is (e.g., pkg, tsp, etc.) - return amount, current_unit + else: + # Keep non-convertible / non-scaled units as-is (e.g., pkg) + return amount, current_unitAlso applies to: 562-564
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…nt amount validation and normalization
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backend/utils/unit_conversions.py (1)
7-52: Unit classification constants are now actively used.The constants
WEIGHT_UNITS,VOLUME_UNITS, andCOUNT_UNITSare referenced in thenormalize_ingredient_data()method (lines 471, 477-478, 498-499), resolving the previous concern about them being unused.backend/routes/beerxml.py (1)
302-356: Metric normalization applies consistent brewing-friendly rounding.The function correctly normalizes metric recipes using the same precision logic as imperial conversion.
The past concern about a redundant local
import copystatement has been resolved.
🧹 Nitpick comments (4)
frontend/src/utils/chartInterpolationUtils.tsx (2)
245-259: LGTM! Formatting logic is appropriate.The metric formatting logic correctly applies appropriate precision for each measurement type. The implementation is clean and straightforward.
Optional: The
defaultcase at lines 256-257 is unreachable because TypeScript's exhaustive checking on the union type parameter ensures all cases are covered. You may remove it for cleaner code:case "ph": return value.toFixed(1); - default: - return value.toString(); } }
264-365: Good refactor with improved structure.The tooltip component is well-implemented with proper null checks and conditional rendering. Previous type safety issues have been successfully addressed. The interpolation indicator logic correctly identifies and displays estimated values.
Consider adding type guard for dataKey at line 310.
The type assertion
as "gravity" | "temperature" | "ph"bypasses TypeScript's safety checks. While the code is functionally safe due to the default case informatMetricValue, a type guard would be more robust:function isValidMetric(key: unknown): key is "gravity" | "temperature" | "ph" { return key === "gravity" || key === "temperature" || key === "ph"; } // Then in the map callback: const dataKey = entry?.dataKey; if (!isValidMetric(dataKey)) { return null; } // Now dataKey is properly typed const formattedValue = formatMetricValue(dataKey, value);This approach maintains type safety and makes the validation explicit.
backend/utils/unit_conversions.py (2)
54-67: Well-structured default weight mappings for count-based units.The
EACH_TO_WEIGHT_DEFAULTSconstant provides a sensible fallback mechanism with specific overrides for common brewing additions.Consider consolidating the duplicate entries for "coriander_seed" and "coriander" if they should always have the same weight:
"orange_peel": {"g": 14, "oz": 0.5}, "lemon_peel": {"g": 14, "oz": 0.5}, - "coriander_seed": {"g": 14, "oz": 0.5}, "coriander": {"g": 14, "oz": 0.5}, + "coriander_seed": {"g": 14, "oz": 0.5}, # Alias for corianderOr handle the alias in
convert_each_to_weight()with normalization logic.
235-240: Consider standardizing yeast normalization to packages.The TODO comment suggests normalizing yeast amounts to package counts rather than weight. This would improve usability, as brewers typically work with whole yeast packages.
Would you like me to generate an implementation that standardizes yeast amounts to packages or open an issue to track this enhancement?
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backend/routes/beerxml.py
542-542: f-string without any placeholders
Remove extraneous f prefix
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frontend/src/utils/chartInterpolationUtils.tsx (3)
15-21: LGTM! Interface is well-typed.The
PayloadEntryinterface properly defines the expected properties from Recharts payload entries without unnecessary type weakening. The previous feedback regarding the index signature has been successfully addressed.
23-30: LGTM! Index signature is appropriate here.The
CustomTooltipPropsinterface correctly defines the tooltip component props. The index signature at line 29 is appropriate for this use case as it allows Recharts to pass additional unmapped properties while maintaining type safety for the explicitly defined fields.
367-372: LGTM! Good backward compatibility approach.The wrapper function maintains compatibility with existing code while enabling the new component-based approach. This is a clean migration pattern.
backend/utils/unit_conversions.py (3)
176-302: Comprehensive brewing-friendly precision logic.The rewritten
round_to_brewing_precision()method provides practical, tiered rounding that aligns with common brewing increments across both imperial and metric systems.
356-383: Well-designed conversion method for count-based units.The
convert_each_to_weight()method provides a robust fallback mechanism with item-specific overrides and sensible defaults (1 oz/28g per item).
470-474: Correct handling of count-based units.Preserving count-like units unchanged for internal storage and deferring conversion to export time is the right architectural choice.
backend/routes/beerxml.py (8)
1-2: Module-level imports are correct.The
copyandloggingimports are properly placed at module level and used throughout the file.
162-214: Well-structured conversion endpoint with proper authentication and error handling.The
/convert-recipeendpoint provides a clean API for converting recipes between unit systems with optional normalization and validation warnings.
216-299: Robust imperial conversion with optional normalization.The
convert_recipe_to_imperial()function correctly converts all recipe components from metric to imperial units, with appropriate handling for different ingredient types.
494-548: Improved unit handling for misc ingredients with proper weight/volume separation.The updated logic correctly classifies teaspoons and tablespoons as volume units and provides fallback handling for unknown units.
660-714: BeerXML fermentables parsed with proper metric normalization.The function correctly converts BeerXML weights (kg) to internal storage units (grams) and applies brewing-friendly precision.
717-767: BeerXML hops parsed with proper metric normalization.The function correctly converts BeerXML weights (kg) to internal storage units (grams) and applies brewing-friendly precision.
828-879: BeerXML misc ingredients parsed with proper metric normalization.The function correctly converts BeerXML weights (kg) and volumes (L) to internal storage units (grams/ml).
1459-1631: Comprehensive ingredient validation with smart heuristics.The
validate_ingredient_amounts()function provides excellent validation coverage with:
- Batch-size normalized checks (per-liter ratios)
- Common error detection (10x yeast multiplication)
- Ingredient-specific heuristics (whirlfloc tablets, water salts)
- Structured warnings with suggested fixes
- Add: type-guard for dataKey in chartInterpolationUtils
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🧹 Nitpick comments (4)
backend/routes/beerxml.py (4)
1-2: Use the module logger consistently instead ofYou now have a module-level
logger, but many handlers and parsers below still useprint(...)in exception blocks. For consistent, structured logging (and easier debugging in production), consider replacing thoselogger.exception/logger.errorwhere appropriate.Also applies to: 16-16
228-254: Volume rounding is using a weight‑oriented helper; consider a volume‑specific normalizer.Both
convert_recipe_to_imperialandnormalize_recipe_metriccallUnitConverter.round_to_brewing_precisionforbatch_sizeandboil_size. That helper is primarily tuned for grain/hop/yeast weights; withingredient_type="general"it currently just rounds to whole numbers (metric) or 2 decimals (imperial), not to brewing‑style volume increments (e.g., 0.5 gal / 0.5 L). If the goal is batch‑size normalization to specific volume steps, it may be clearer to either:
- add a dedicated volume normalization helper (e.g.,
normalize_batch_volume), or- extend
round_to_brewing_precisionwith an explicit volume path (e.g.,ingredient_type="volume"+unit in {"gal", "l"}) that enforces your desired increments.Also applies to: 315-325
601-652: Good normalization of imported BeerXML to metric base units.Storing:
- volumes in liters (batch/boil),
- fermentables/hops in grams (from kg),
- misc weights in grams and misc volumes in ml,
- yeasts as either grams or normalized packages,
gives you a clean, metric‑first internal model and makes later conversions/validation simpler. If you find this “kg→g +
round_to_brewing_precision” pattern cropping up elsewhere, you could factor a small helper to DRY it up, but the current duplication here is manageable.Also applies to: 660-677, 717-733, 770-825, 828-879
1459-1631: Tighten validation heuristics around units to avoid noisy warnings.A couple of small details worth checking:
Batch size aliases vs
convert_volume: You treat"gal","gallon", and"gallons"as equivalent when deciding to convert to liters, but passbatch_unitstraight intoUnitConverter.convert_volume. Sinceconvert_volumerelies on a fixedVOLUME_TO_LITERSmap with a default factor of1.0, any alias not present there (e.g."gallon"if only"gal"is defined) will be treated as 1:1 with liters and skew your g/L ratios. Either normalize those aliases to"gal"before calling, or ensureVOLUME_TO_LITERSincludes every alias you check here.Unknown weight units and the
try/except:convert_weightcurrently uses.get(..., 1.0)for unit factors, so unknown units won’t raiseKeyErrorand will effectively be treated as “no conversion”. If you really want a separate code path for unsupported units, consider explicitly checking membership inUnitConverter.WEIGHT_TO_GRAMSinstead of relying on exceptions.These don’t break core functionality but will reduce false positives and make the warnings more trustworthy.
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backend/routes/beerxml.py (1)
backend/utils/unit_conversions.py (4)
convert_volume(146-163)round_to_brewing_precision(176-302)convert_weight(116-133)convert_each_to_weight(357-383)
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🔇 Additional comments (2)
backend/routes/beerxml.py (2)
162-214: Clarify the expectedrecipeshape for/convert-recipe.
convert_recipepasses the incomingrecipestraight intoconvert_recipe_to_imperial/normalize_recipe_metricand thenvalidate_ingredient_amounts, which all expect a flat dict containingbatch_size,batch_size_unit, andingredients. If the client ever sends the BeerXML parse structure ({"recipe": {...}, "ingredients": [...]}) directly, this will misalign. Please confirm the frontend is sending the flattened dict these helpers expect, or normalize it here before calling the helpers.
494-549: Improved misc unit handling on BeerXML export looks solid.Treating
"each"/"item"viaconvert_each_to_weightand movingtsp/tbspinto the volume branch is a nice correctness fix. The fallback warning for unknown units plus a conservative “treat as grams” assumption is also reasonable for a best‑effort export path.
…e to brewing-friendly increments
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♻️ Duplicate comments (1)
backend/utils/unit_conversions.py (1)
7-52: Document and utilize the unit classification constants.
WEIGHT_UNITSandVOLUME_UNITSare defined but not referenced in the conversion logic. WhileCOUNT_UNITSis now used at line 530, consider refactoring the unit classification checks (e.g., lines 536-538, 557-559) to useWEIGHT_UNITSandVOLUME_UNITSinstead of checking against dictionary keys. This would centralize unit definitions and make future additions easier.
🧹 Nitpick comments (2)
backend/utils/unit_conversions.py (1)
236-236: Consider removing or documenting the unusedunitparameter.The
unitparameter is declared but never used in the method body. If it's reserved for future use or API consistency, add a comment explaining why. Otherwise, consider removing it to reduce confusion.Based on static analysis hints.
backend/tests/test_beerxml.py (1)
1116-1116: Optional: Use dummy variable for unused fixture values.The
uservariable fromauthenticated_userfixture unpacking is unused in these tests. Consider using_, headers = authenticated_userto signal the intentional discard.Based on static analysis hints.
Also applies to: 1209-1209, 1281-1281, 1345-1345, 1401-1401
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backend/utils/unit_conversions.py
236-236: Unused class method argument: unit
(ARG003)
backend/routes/beerxml.py
655-655: Local variable e is assigned to but never used
Remove assignment to unused variable e
(F841)
backend/tests/test_beerxml.py
1116-1116: Unpacked variable user is never used
Prefix it with an underscore or any other dummy variable pattern
(RUF059)
1209-1209: Unpacked variable user is never used
Prefix it with an underscore or any other dummy variable pattern
(RUF059)
1281-1281: Unpacked variable user is never used
Prefix it with an underscore or any other dummy variable pattern
(RUF059)
1345-1345: Unpacked variable user is never used
Prefix it with an underscore or any other dummy variable pattern
(RUF059)
1401-1401: Unpacked variable user is never used
Prefix it with an underscore or any other dummy variable pattern
(RUF059)
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🔇 Additional comments (23)
backend/utils/unit_conversions.py (6)
54-67: LGTM! Well-designed per-item weight defaults.The
EACH_TO_WEIGHT_DEFAULTSconstant provides sensible defaults for common brewing additions with pre-calculated values in both metric and imperial units. The 28g (1oz) default is appropriate, and the specific item entries (vanilla bean, cacao nibs, etc.) demonstrate good domain knowledge.
109-112: LGTM! Teaspoon and tablespoon conversions enhance utility.Adding tsp/tbsp conversions is valuable for small-volume brewing additions like yeast nutrients and water salts. The US measurement conversion factors are correct.
175-232: LGTM! Batch volume normalization aligns with brewing practices.The tiered rounding logic correctly normalizes volumes to common brewing batch sizes (e.g., 5 gal, 19L, 23L). The ranges are well-chosen to match typical homebrew and commercial equipment sizes, and edge cases (zero, unknown units) are handled appropriately.
235-361: LGTM! Comprehensive brewing-friendly rounding logic.The tiered rounding for grains, hops, and yeast correctly matches common brewing practices and ingredient packaging. The special handling for yeast (2-decimal precision) prevents small amounts from being rounded to zero, which is critical for weight-to-package conversions.
415-442: LGTM! Robust per-item to weight conversion.The
convert_each_to_weightmethod correctly handles case-insensitive lookups with space/underscore normalization and provides a sensible fallback to the default weight. Target unit validation ensures only g or oz are used, which is appropriate for BeerXML export.
529-533: LGTM! Appropriate handling of count-like units.Preserving count units ("each", "item", "pkg") for internal storage and deferring conversion to BeerXML export is the right approach. This maintains data fidelity and allows for better user experience in the UI.
backend/routes/beerxml.py (11)
1-16: LGTM! Proper logging infrastructure added.The logging setup correctly replaces print-based error handling throughout the file. The module-level logger initialization follows Python best practices.
162-214: LGTM! Well-designed recipe conversion endpoint.The
/convert-recipeendpoint has appropriate JWT protection, clear input validation, and returns both the converted recipe and validation warnings. The routing logic correctly handles metric/imperial conversions with optional normalization.
216-299: LGTM! Comprehensive metric-to-imperial conversion.The
convert_recipe_to_imperialfunction correctly converts batch sizes, boil sizes, and ingredients with appropriate unit handling for different ingredient types. The optional brewing-friendly normalization is applied consistently throughout.
302-356: LGTM! Metric recipe normalization is consistent.The
normalize_recipe_metricfunction applies brewing-friendly rounding consistently to batch sizes, boil sizes, and all ingredient types using the appropriate UnitConverter methods. The deep copy prevents unintended mutations.
494-548: LGTM! Comprehensive misc ingredient unit handling.The misc ingredient export logic correctly handles per-item units (converting to weight), weight units, volume units (including tsp/tbsp), and unknown units with appropriate logging. The FIXED comments demonstrate awareness of the tsp/tbsp volume classification correction.
601-651: LGTM! BeerXML spec compliance and validation integration.The parsing correctly stores batch sizes in liters per the BeerXML specification and defers user-preference conversion to the conversion endpoint. Validation warnings are appropriately captured in the recipe metadata.
660-714: LGTM! Fermentables stored in metric base units.Storing fermentable amounts in grams (metric standard) and applying brewing precision during parsing is appropriate. The deferred user-preference conversion maintains consistency with the overall conversion strategy.
717-767: LGTM! Hops stored consistently in metric base units.The hop parsing follows the same pattern as fermentables, storing amounts in grams with brewing precision applied. This consistency across ingredient types is appropriate.
770-847: LGTM! Defensive handling for 10x yeast export error.The 10x error detection cleverly identifies common BeerXML export errors where yeast packages are incorrectly multiplied (e.g., 2 pkg → 0.022 kg → 0.22 kg → 220g). The heuristic divides by 110g to recover the package count, which is reasonable for this specific error pattern. The logging helps users understand the correction.
850-920: LGTM! Defensive tablet unit correction.The special handling for Whirlfloc/Irish Moss tablets addresses a common BeerXML export error where tablets are incorrectly exported as weight (1kg → 1 tablet). The keyword-based detection and 0.5kg threshold are reasonable heuristics, and the logging aids transparency.
1500-1758: LGTM! Comprehensive ingredient validation with brewing-specific checks.The
validate_ingredient_amountsfunction provides thorough validation:
- Batch-relative grain bill checks (100-600 g/L range) instead of per-ingredient validation
- Per-liter hop ratio checks (0.1-15 g/L)
- Yeast package normalization warnings for fractional amounts
- Defensive checks for tablet/water salt unit errors
- Appropriate display formatting for both metric and imperial units
The warnings structure (ingredient, type, amount, unit, issue, message, optional suggested_fix) provides clear, actionable feedback for users.
backend/tests/test_beerxml.py (6)
761-761: LGTM! Test assertion updated for metric base units.The assertion correctly expects "g" as the base unit, aligning with the change to store BeerXML ingredients in metric units internally.
1114-1206: LGTM! Comprehensive tablet unit correction test.The test correctly verifies that Whirlfloc and Irish Moss tablets are converted from weight (1kg, 2kg) to count units (1 each, 2 each), while Gypsum remains as weight (5g). The assertions check both amount and unit, providing thorough coverage.
1207-1277: LGTM! Yeast 10x error detection test coverage.The test correctly verifies that the 10x error correction converts 0.22kg (220g) to 2 pkg and 0.11kg (110g) to 1 pkg, addressing a common BeerXML export issue. The assertions validate both the corrected amounts and units.
1279-1341: LGTM! Total grain bill validation test coverage.The test correctly verifies that validation produces a single aggregate warning for low total grain bill rather than per-ingredient warnings. The assertions confirm the warning structure includes batch-relative ranges in the message (e.g., "21.0L", "2.1kg", "12.6kg").
1343-1397: LGTM! Imperial unit validation test coverage.The test correctly verifies that validation warnings display imperial units (gal, lb) after conversion. The conditional check for grain warnings is appropriately defensive, acknowledging that conversion may affect whether warnings are triggered.
1399-1460: LGTM! Fractional yeast package validation test coverage.The test correctly verifies that fractional yeast packages (1.3 pkg) trigger validation warnings with appropriate suggested fixes (1.5 pkg). The assertions confirm the warning structure includes the suggested_fix field.
…t and volume detection using constants
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Actionable comments posted: 1
🧹 Nitpick comments (5)
backend/utils/unit_conversions.py (5)
175-233: Clarify normalize_batch_volume docstring vs. implemented behavior.The docstring lists specific “common brewing batch sizes” (e.g. 5L, 10L, 23L, 5 gal, 6 gal), but the implementation uses continuous rounding rules by ranges (e.g. ≥20L → nearest 1L, ≥10L → nearest 0.5L, ≥10 gal → nearest 1 gal). To avoid confusion for future maintainers, either adjust the docstring to describe the piecewise rounding rules you actually apply or tighten the logic to match a discrete set of canonical batch sizes.
260-282: Fix comments in imperial grain rounding block to match thresholds.In the imperial
grainbranch, the numeric thresholds are in ounces (256, 128, 64, 16), but the inline comments describe them as>= 1 lb,>= 0.5 lb,>= 4 oz, etc., which doesn’t line up (e.g. 256 oz is 16 lb, 64 oz is 4 lb). The rounding behavior itself looks reasonable; I’d just correct the comments to describe the true ranges (e.g. “large grain bills (≥16 lb)”, “≥8 lb”, “≥4 lb”, “≥1 lb”) so future tweaks don’t get misled by the mismatch.
416-444: Slightly harden item_name normalization in convert_each_to_weight.Logic and defaults are sound, but
item_key = item_name.lower().strip().replace(" ", "_")won’t match simple variants likevanilla-beanvsvanilla bean. If you expect user-entered names, consider normalizing common separators the same way, e.g.:- item_key = item_name.lower().strip().replace(" ", "_") + item_key = ( + item_name.lower() + .strip() + .replace("-", "_") + .replace(" ", "_") + )This keeps existing keys working while tolerating hyphen/space variants.
530-538: Avoid rebuilding lowercase unit lists on every membership check.Patterns like
current_unit.lower() in [u.lower() for u in cls.WEIGHT_UNITS]and the similar checks for VOLUME_UNITS/COUNT_UNITS appear in several hot-path helpers (normalize_ingredient_data, validate_unit, normalize_to_base_unit). For readability and a small perf win, consider precomputing lowercase sets once on the class (e.g. WEIGHT_UNITS_LOWER: ClassVar[set[str]] = {...}) and using direct membership (in cls.WEIGHT_UNITS_LOWER), which also makes intent (“case-insensitive membership”) clearer.Also applies to: 556-562, 571-578, 606-613
567-580: Normalize and type-guard unit in validate_unit for robustness.You currently call
unit.lower()directly; ifunitis ever None or has trailing whitespace, this will either raise or fail the membership checks unexpectedly. To make validate_unit safer as a public helper, consider coercing and stripping first:- unit_lower = unit.lower() + unit_lower = str(unit).strip().lower()This mirrors the normalization strategy you already use elsewhere (e.g. in convert_each_to_weight).
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🔇 Additional comments (3)
backend/utils/unit_conversions.py (3)
7-67: Unit classification and per-item defaults look coherent.The WEIGHT_UNITS / VOLUME_UNITS / COUNT_UNITS and EACH_TO_WEIGHT_DEFAULTS tables are well-structured and give you a single place to evolve unit handling and per-item assumptions; this will make later additions much easier to manage. No changes needed here.
87-113: Teaspoon/tablespoon volume mappings are consistent and non-breaking.Adding tsp/teaspoon and tbsp/tablespoon aliases into VOLUME_TO_LITERS is consistent with the existing pattern (liters as base, US measures) and should integrate cleanly with convert_volume/normalize_to_base_unit without behavior regressions.
606-621: Behavior for non-weight/volume units in normalize_to_base_unit is sensible.Using the classification constants to route weight vs volume, and then returning
(amount, current_unit)unchanged for everything else (pkg, each, etc.) is a clean way to avoid silently fabricating conversions for count-like units. This aligns with the new COUNT_UNITS handling in normalize_ingredient_data.
| def round_to_brewing_precision( | ||
| cls, amount, ingredient_type="general", unit_system="imperial", unit="oz" | ||
| ): | ||
| """ | ||
| Round amounts to brewing-friendly precision to avoid floating point errors | ||
| Round amounts to brewing-friendly precision for practical brewing | ||
| Normalizes values to common brewing increments: | ||
| - Metric grains: 5g, 10g, 25g, 50g, 100g, 250g, 500g, 1kg increments | ||
| - Metric hops: 1g, 5g, 10g, 25g, 50g increments | ||
| - Imperial grains: 0.25oz, 0.5oz, 1oz, 4oz, 8oz, 1lb increments | ||
| - Imperial hops: 0.25oz, 0.5oz, 1oz increments | ||
| Args: | ||
| amount: The amount to round | ||
| ingredient_type: Type of ingredient (hop, grain, yeast, etc.) | ||
| unit_system: "imperial" or "metric" | ||
| unit: The unit of measurement | ||
| unit: The unit of measurement (kept for API consistency, not used | ||
| in logic as precision is determined by unit_system) | ||
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Address Ruff ARG003 for unused unit parameter in round_to_brewing_precision.
The unit parameter is flagged by Ruff's ARG003 rule (flake8-unused-arguments is active in your ruff.toml configuration). Since the docstring correctly documents it as retained for API compatibility but not used in logic, suppress the linting error: add # noqa: ARG003 on the def line, use _ = unit # API compatibility as a no-op, or rename to _unit. The # noqa: ARG003 approach will work with your current Ruff configuration.
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236-236: Unused class method argument: unit
(ARG003)
🤖 Prompt for AI Agents
In backend/utils/unit_conversions.py around lines 235 to 253, the parameter
`unit` in round_to_brewing_precision is unused and triggers Ruff ARG003; to
suppress the lint error while preserving API compatibility, annotate the
function definition with a noqa for ARG003 (add `# noqa: ARG003` to the def
line) or assign the parameter to a throwaway variable (`_ = unit # API
compatibility`) inside the function; apply one of these two minimal changes and
run ruff to confirm the warning is gone.
- Fixed imperial grain rounding comments - Enhanced convert_each_to_weight normalization to normalise both spaces and hypens to underscores - Precomputed lowercase unit sets - Added input validation to validate_unit
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Actionable comments posted: 0
♻️ Duplicate comments (1)
backend/utils/unit_conversions.py (1)
247-248: Address Ruff ARG003 for unusedunitparameter.The
unitparameter is still flagged by Ruff's ARG003 rule. As noted in the previous review, add# noqa: ARG003to the function definition line to suppress the warning while preserving API compatibility.Apply this diff:
@classmethod - def round_to_brewing_precision( + def round_to_brewing_precision( # noqa: ARG003 cls, amount, ingredient_type="general", unit_system="imperial", unit="oz" ):
🧹 Nitpick comments (2)
backend/utils/unit_conversions.py (2)
180-244: Simplify redundant conditions in metric liter logic.Lines 234 and 236 both apply the same rounding (nearest 0.5 liter) for volumes ≥10L and ≥1L respectively. These conditions can be collapsed into a single
elif volume >= 1:branch.Apply this diff to simplify:
elif volume >= 20: # Round to nearest liter return round(volume) - elif volume >= 10: - # Round to nearest 0.5 liter - return round(volume * 2) / 2 elif volume >= 1: # Round to nearest 0.5 liter return round(volume * 2) / 2 else:
428-456: Consider spelling consistency for "Normalize".Line 442 uses British spelling ("Normalise") while the codebase consistently uses American spelling elsewhere (e.g.,
normalize_batch_volume,normalize_ingredient_data). Consider updating to "Normalize" for consistency.- # Normalise and validate target unit + # Normalize and validate target unit target_unit = str(target_unit).lower().strip()
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🔇 Additional comments (3)
backend/utils/unit_conversions.py (3)
7-73: Well done integrating the unit classification constants!The unit classification constants (
WEIGHT_UNITS,VOLUME_UNITS,COUNT_UNITS) and their lowercase lookup sets are now properly utilized throughout the file (lines 543, 549, 568, 595, 597, 601, 630, 636, 643). TheEACH_TO_WEIGHT_DEFAULTSmapping provides sensible per-item weight conversions for common brewing ingredients. This addresses the previous review concern about documenting and utilizing these constants.
75-118: Good additions to volume unit support.Adding
ClassVartype hints improves type safety, and the expanded volume units (teaspoon, tablespoon) are practical additions for brewing recipes with small liquid additions.
542-644: Excellent use of classification constants for unit type detection.The classification constants are now properly integrated throughout the normalization and validation logic. The membership checks against
WEIGHT_UNITS_LOWER,VOLUME_UNITS_LOWER, andCOUNT_UNITS_LOWERmake the code more maintainable and eliminate hard-coded unit lists.
jackmisner
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