Repository: vikingnope/worther
Pull request #189: fix: Fix Daily Weather Data Inaccuracy
Author: login: schembriaiden
Labels: name: Bug
description: Something isn't working
name: Data Processing
description: Changes to data processing
Created: 2025-04-07T07:51:16Z | Merged: 2025-04-07T09:30:38Z

## Description

Fixed multiple data inaccuracies in logarithm due to using 3 Hour Forecast API

## Type of Change
- [x] Bug fix
- [ ] New feature
- [ ] UI/UX improvement
- [x] Weather data processing
- [ ] Optimisation
- [ ] Security
- [ ] Documentation update
- [ ] Chore
- [ ] Other (please describe)

## Changes Made

- Changed way precipitation is calculated
- Changed weather condition to be averaged and added warning instead if rain, snow, thunder, etc... is detected

## Testing
<!-- Describe how you tested these changes -->
- [x] Tested weather data fetching
- [x] Verified UI updates
- [x] Checked error handling
- [x] Tested on multiple browsers/devices

## Screenshots
<!-- If applicable, add screenshots or GIFs -->

## Additional Notes
<!-- Any additional information that reviewers should know -->

## Checklist
- [x] Code follows project style guidelines
- [x] API keys and sensitive data are properly protected
- [x] Weather data validation is in place
- [x] Error handling is implemented
- [x] Documentation has been updated
- [x] Tests have been added/updated


<!-- This is an auto-generated comment: release notes by coderabbit.ai -->
## Summary by CodeRabbit

- **New Features**
  - Enhanced weather display now provides detailed warnings for adverse conditions.
  - Expanded weather information includes a new entry for `PARTLY_CLOUDY` and additional indicators for rain, thunder, snow, and fog.
  - Updated precipitation values deliver a more consistent and reliable forecast experience.
  - Conditional rendering of weather warnings with visual icons for better user awareness.
  - Introduced classification for weather conditions, including handling for null values.

- **Bug Fixes**
  - Addressed data inaccuracies in the logic calculation on the daily weather page to improve reliability.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->


Diff:
diff --git a/src/components/dailyWeather.jsx b/src/components/dailyWeather.jsx
index 168c58e9..f8191e0a 100644
--- a/src/components/dailyWeather.jsx
+++ b/src/components/dailyWeather.jsx
@@ -6,6 +6,31 @@ import { Footer } from './utils/footer';
 import { WeatherIcons, WindDirection, VisibilityDesc, WindForce, TimeZoneShow, SunriseSunsetTimes, WindArrow } from './utils/weatherVariables';
 import { BsFillSunriseFill, BsFillSunsetFill } from 'react-icons/bs';
 import { FaArrowLeft } from "react-icons/fa6";
+import { IoWarningOutline } from "react-icons/io5";
+
+// Weather phenomena types for consistent tracking
+const WEATHER_PHENOMENA = {
+  THUNDER: 'thunder',
+  RAIN: 'rain',
+  DRIZZLE: 'drizzle',
+  SNOW: 'snow',
+  FOG: 'atmosphere',
+  CLEAR: 'clear',
+  CLOUDS: 'clouds',
+  PARTLY_CLOUDY: 'partly-cloudy', // Added for null condition handling
+};
+
+// Unified function to classify weather conditions based on condition ID
+const classifyWeatherCondition = (conditionId) => {
+  if (conditionId == null) return WEATHER_PHENOMENA.PARTLY_CLOUDY; // Handle null/undefined
+  if (conditionId >= 200 && conditionId < 300) return WEATHER_PHENOMENA.THUNDER;
+  if (conditionId >= 300 && conditionId < 400) return WEATHER_PHENOMENA.DRIZZLE;
+  if (conditionId >= 500 && conditionId < 600) return WEATHER_PHENOMENA.RAIN;
+  if (conditionId >= 600 && conditionId < 700) return WEATHER_PHENOMENA.SNOW;
+  if (conditionId >= 700 && conditionId < 800) return WEATHER_PHENOMENA.FOG;
+  if (conditionId === 800) return WEATHER_PHENOMENA.CLEAR;
+  return WEATHER_PHENOMENA.CLOUDS; // Default for 801-899 (clouds)
+};
 
 export const DailyWeatherData = memo(() => {
   const { lat, lon } = useParams();
@@ -39,7 +64,7 @@ export const DailyWeatherData = memo(() => {
         const date = new Date(weatherAPI.dt * 1000).toDateString();
         if (!dailyData[date]) {
           dailyData[date] = {
-            precipitation: weatherAPI.pop * 100,
+            maxPrecipitation: 0,
             humidity: 0,
             visibility: 0,
             windSpeed: 0,
@@ -48,11 +73,52 @@ export const DailyWeatherData = memo(() => {
             tempMin: weatherAPI.main.temp,
             tempMax: weatherAPI.main.temp,
             count: 0,
-            weather: weatherAPI.weather[0]
+            weatherConditions: {},             // Track all weather conditions with counts
+            phenomena: {},                     // Single object to track all weather phenomena
+            weather: weatherAPI.weather && weatherAPI.weather.length > 0 ? 
+              weatherAPI.weather[0] : 
+              { id: null, main: 'Unknown', description: 'No weather data available' }
           };
+        }
+
+        // Track all weather conditions that occur during the day
+        // Validate weatherAPI.weather is a valid array before iterating
+        if (weatherAPI.weather && Array.isArray(weatherAPI.weather) && weatherAPI.weather.length > 0) {
+          for (const condition of weatherAPI.weather) {
+            if (!dailyData[date].weatherConditions[condition.id]) {
+              dailyData[date].weatherConditions[condition.id] = {
+                count: 0,
+                description: condition.description,
+                main: condition.main,
+                icon: condition.icon
+              };
+            }
+            dailyData[date].weatherConditions[condition.id].count += 1;
+            
+            // Track weather phenomena using the single object
+            const phenomenonType = classifyWeatherCondition(condition.id);
+            if (!dailyData[date].phenomena[phenomenonType]) {
+              dailyData[date].phenomena[phenomenonType] = {
+                count: 0,
+                description: condition.description
+              };
+            }
+            dailyData[date].phenomena[phenomenonType].count += 1;
+          }
         } else {
-          dailyData[date].precipitation = Math.max(dailyData[date].precipitation, weatherAPI.pop * 100);
+          // Handle case where weather data is missing or invalid
+          const defaultPhenomenonType = WEATHER_PHENOMENA.PARTLY_CLOUDY;
+          if (!dailyData[date].phenomena[defaultPhenomenonType]) {
+            dailyData[date].phenomena[defaultPhenomenonType] = {
+              count: 0,
+              description: 'Unknown weather conditions'
+            };
+          }
+          dailyData[date].phenomena[defaultPhenomenonType].count += 1;
         }
+
+        // Update max precipitation probability instead of multiplying
+        dailyData[date].maxPrecipitation = Math.max(dailyData[date].maxPrecipitation, weatherAPI.pop);
         dailyData[date].humidity += weatherAPI.main.humidity;
         dailyData[date].visibility += weatherAPI.visibility;
         dailyData[date].windSpeed += weatherAPI.wind.speed;
@@ -66,16 +132,66 @@ export const DailyWeatherData = memo(() => {
 
       const weatherArray = Object.keys(dailyData).map(date => {
         const data = dailyData[date];
+        
+        // Find the most prominent weather condition based on count
+        let mostProminentConditionId = null;
+        let highestCount = 0;
+        
+        Object.entries(data.weatherConditions).forEach(([conditionId, conditionData]) => {
+          if (conditionData.count > highestCount) {
+            highestCount = conditionData.count;
+            mostProminentConditionId = Number(conditionId);
+          }
+        });
+        
+        // Use the most prominent condition as the main weather condition
+        const prominentCondition = mostProminentConditionId ? 
+          data.weatherConditions[mostProminentConditionId] : 
+          { main: data.weather.main, description: data.weather.description };
+        
+        // Determine the type of the most prominent condition
+        const prominentConditionType = mostProminentConditionId !== null ? 
+          classifyWeatherCondition(mostProminentConditionId) : 
+          WEATHER_PHENOMENA.PARTLY_CLOUDY;
+        
+        // Create warning messages based on phenomena
+        const warnings = [];
+        
+        // Check for significant weather phenomena that aren't the dominant condition type
+        if (data.phenomena[WEATHER_PHENOMENA.THUNDER]?.count > 0 && prominentConditionType !== WEATHER_PHENOMENA.THUNDER) {
+          warnings.push('Thunderstorms possible');
+        }
+        
+        if ((data.phenomena[WEATHER_PHENOMENA.RAIN]?.count > 0 || data.phenomena[WEATHER_PHENOMENA.DRIZZLE]?.count > 0) && 
+            prominentConditionType !== WEATHER_PHENOMENA.RAIN && 
+            prominentConditionType !== WEATHER_PHENOMENA.DRIZZLE) {
+          warnings.push('Rain expected');
+        }
+        
+        if (data.phenomena[WEATHER_PHENOMENA.SNOW]?.count > 0 && prominentConditionType !== WEATHER_PHENOMENA.SNOW) {
+          warnings.push('Snow expected');
+        }
+        
+        if (data.phenomena[WEATHER_PHENOMENA.FOG]?.count > 0 && prominentConditionType !== WEATHER_PHENOMENA.FOG) {
+          warnings.push('Reduced visibility possible');
+        }
+        
         return {
           date,
-          precipitation: data.precipitation,
+          precipitation: Number((data.maxPrecipitation * 100).toFixed(2)), // Use maxPrecipitation directly
           humidity: Number((data.humidity / data.count).toFixed(2)),
           visibility: Number((data.visibility / data.count).toFixed(2)),
           windSpeed: Number((data.windSpeed / data.count).toFixed(2)),
           windDegrees: ((Math.atan2(data.windSin, data.windCos) * 180) / Math.PI + 360) % 360,
           tempMin: data.tempMin,
           tempMax: data.tempMax,
-          weather: data.weather
+          weather: {
+            ...data.weather,
+            main: prominentCondition.main,
+            description: prominentCondition.description
+          },
+          warnings: warnings,
+          hasWarnings: warnings.length > 0
         };
       });
 
@@ -185,6 +301,20 @@ export const DailyWeatherData = memo(() => {
                           </div>
                         </div>
                         
+                        {/* Weather warnings section (if present) */}
+                        {weather.hasWarnings && (
+                          <div className="mb-4 xl:mb-6">
+                            <div className="bg-amber-900/40 backdrop-blur-sm rounded-lg p-3 xl:p-4 shadow-inner border border-amber-800/50 transition-all duration-300">
+                              <div className="flex items-center justify-center">
+                                <IoWarningOutline className="text-amber-400 text-2xl mr-1" />
+                                <p className="text-amber-200 text-md xl:text-lg">
+                                  {weather.warnings.join(', ')}
+                                </p>
+                              </div>
+                            </div>
+                          </div>
+                        )}
+                        
                         {/* Temperature section with highlight */}
                         <div className="bg-black/30 backdrop-blur-sm rounded-lg p-3 xl:p-6 mb-4 xl:mb-8 shadow-inner border border-gray-800/50 transition-all duration-300 hover:border-gray-700/50">
                           <p className='mx-auto text-lg xl:text-xl mb-1 xl:mb-2 text-center'>
diff --git a/src/resources/CHANGELOG.md b/src/resources/CHANGELOG.md
index 8734de9e..bca9e832 100644
--- a/src/resources/CHANGELOG.md
+++ b/src/resources/CHANGELOG.md
@@ -8,6 +8,7 @@
 - Major design changes throughout all pages to a more modern UI (new colours, new icons, new search functionality, better error handling, etc...)
 - Upgraded to TailwindCSS v4
 - Added version history to changelog with auto-scroll functionality
+- Fixed data inaccuracies in logic calculation in daily weather page
 
 ---
 


Reviews:
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body: **Actionable comments posted: 0**

<details>
<summary>🧹 Nitpick comments (1)</summary><blockquote>

<details>
<summary>src/components/dailyWeather.jsx (1)</summary><blockquote>

`28-28`: **Console log should be removed or made development-only.**

While helpful for debugging, console logs should not remain in production code. Consider wrapping it in a conditional check similar to the error logging on line 163.

```diff
- console.log(response.data);
+ if (import.meta.env.MODE !== 'production') {
+   console.log('API response data:', response.data);
+ }
```

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* `src/components/dailyWeather.jsx` (6 hunks)

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<summary>🔇 Additional comments (9)</summary><blockquote>

<details>
<summary>src/components/dailyWeather.jsx (9)</summary>

`9-9`: **Correct use of icon import.**

The `BiErrorCircle` icon is appropriately imported for displaying weather warnings, aligning with the PR's goal to highlight special weather conditions.

---

`44-44`: **Good implementation of weather condition tracking.**

The initialization of precipitation and addition of properties for tracking different weather conditions provides a solid foundation for the improved weather reporting system.



Also applies to: 53-58

---

`62-85`: **Well-structured weather condition categorization.**

The implementation effectively processes and categorizes weather conditions by their ID ranges, properly tracking occurrences of rain, thunder, snow, and atmospheric conditions. This aligns perfectly with the PR objective of improving weather condition reporting.

---

`87-87`: **Revised precipitation calculation logic.**

The precipitation calculation logic has been updated to handle the probability of precipitation more accurately by inverting the API's probability of precipitation (pop) value.

---

`117-132`: **Well-implemented weather warnings system.**

The code effectively determines the prominent weather condition type and creates appropriate warnings only for non-dominant weather events. This directly fulfills the PR's objective to issue warnings for special weather conditions.

---

`136-136`: **Proper precipitation value conversion.**

The precipitation value is correctly inverted and formatted as a percentage with two decimal places, making it consistent with standard meteorological representations.

---

`143-149`: **Good implementation of weather data structure.**

The weather object is properly structured with the prominent condition details and includes the new warnings array and flag, which supports the new warnings display feature.

---

`259-271`: **Well-designed warnings display.**

The warnings section is well-implemented with:
- Proper conditional rendering based on `hasWarnings`
- Appropriate styling to draw attention (amber/warning colours)
- Good use of the BiErrorCircle icon
- Clean display of multiple warnings with comma separation

This effectively completes the PR's goal of warning users about special weather conditions.

---

`101-116`: _⚠️ Potential issue_

**Fix syntax error in fallback condition object.**

There's a syntax error in the fallback condition object that would cause runtime errors.

```diff
- const prominentCondition = mostProminentConditionId ? 
-   data.weatherConditions[mostProminentConditionId] : 
-   data.weather.main, description: data.weather.description };
+ const prominentCondition = mostProminentConditionId ? 
+   data.weatherConditions[mostProminentConditionId] : 
+   { main: data.weather.main, description: data.weather.description };
```



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<details>
<summary>🧹 Nitpick comments (1)</summary><blockquote>

<details>
<summary>src/components/dailyWeather.jsx (1)</summary><blockquote>

`100-132`: **Consider refactoring the condition type determination logic**

While the logic for finding the most prominent condition and creating warnings is sound, the chain of ternary operators for determining `prominentConditionType` could be refactored for better readability.


```diff
- const prominentConditionType = 
-   mostProminentConditionId >= 200 && mostProminentConditionId < 300 ? 'thunder' :
-   mostProminentConditionId >= 300 && mostProminentConditionId < 400 ? 'drizzle' :
-   mostProminentConditionId >= 500 && mostProminentConditionId < 600 ? 'rain' :
-   mostProminentConditionId >= 600 && mostProminentConditionId < 700 ? 'snow' :
-   mostProminentConditionId >= 700 && mostProminentConditionId < 800 ? 'atmosphere' :
-   mostProminentConditionId === 800 ? 'clear' : 'clouds';
+ // Map weather condition ID ranges to condition types
+ const getConditionType = (id) => {
+   if (id >= 200 && id < 300) return 'thunder';
+   if (id >= 300 && id < 400) return 'drizzle';
+   if (id >= 500 && id < 600) return 'rain';
+   if (id >= 600 && id < 700) return 'snow';
+   if (id >= 700 && id < 800) return 'atmosphere';
+   if (id === 800) return 'clear';
+   return 'clouds';
+ };
+ 
+ const prominentConditionType = getConditionType(mostProminentConditionId);
```

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<summary>🔇 Additional comments (5)</summary><blockquote>

<details>
<summary>src/components/dailyWeather.jsx (5)</summary>

`9-9`: **Good addition of the warning icon import**

The import of IoWarningOutline icon is appropriate for displaying weather warnings visually.

---

`43-57`: **Enhanced data structure for tracking weather conditions**

The improved structure with weather condition flags and a dictionary to track condition counts is well-designed. Initialising precipitation to 1 is part of the fix for correctly calculating precipitation probability.

---

`61-86`: **Robust implementation of weather condition processing**

This segment effectively tracks and categorises weather conditions based on ID ranges. The updated precipitation calculation method (line 86) properly accounts for probability of precipitation across multiple data points, addressing the core inaccuracy issue mentioned in the PR objectives.

---

`135-149`: **Well-structured return object with proper weather aggregation**

The updated return object now correctly calculates precipitation and includes the most prominent weather condition. The addition of warnings and the hasWarnings flag enhances the data model for better UI presentation.

---

`258-270`: **Excellent implementation of the warnings display**

The warnings section is well-designed with appropriate conditional rendering. Using the amber colour palette for warnings provides good visual contrast and effectively alerts users to potential weather hazards, fulfilling the PR objective of improving how weather conditions are reported.

</details>

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<details>
<summary>🧹 Nitpick comments (3)</summary><blockquote>

<details>
<summary>src/components/dailyWeather.jsx (3)</summary><blockquote>

`11-20`: **Well-structured helper function for categorizing weather conditions**

This function correctly maps the OpenWeatherMap condition IDs to their respective weather types, making the code more maintainable.


Consider defining these ID ranges as constants at the top of the file for even better maintainability:

```diff
+// Weather condition ID ranges
+const WEATHER_IDS = {
+  THUNDER: { min: 200, max: 299 },
+  DRIZZLE: { min: 300, max: 399 },
+  RAIN: { min: 500, max: 599 },
+  SNOW: { min: 600, max: 699 },
+  ATMOSPHERE: { min: 700, max: 799 },
+  CLEAR: 800,
+  CLOUDS: { min: 801, max: 899 }
+};

const getWeatherConditionType = (conditionId) => {
-  if (conditionId >= 200 && conditionId < 300) return 'thunder';
-  if (conditionId >= 300 && conditionId < 400) return 'drizzle';
-  if (conditionId >= 500 && conditionId < 600) return 'rain';
-  if (conditionId >= 600 && conditionId < 700) return 'snow';
-  if (conditionId >= 700 && conditionId < 800) return 'atmosphere';
-  if (conditionId === 800) return 'clear';
+  if (conditionId >= WEATHER_IDS.THUNDER.min && conditionId < WEATHER_IDS.THUNDER.max) return 'thunder';
+  if (conditionId >= WEATHER_IDS.DRIZZLE.min && conditionId < WEATHER_IDS.DRIZZLE.max) return 'drizzle';
+  if (conditionId >= WEATHER_IDS.RAIN.min && conditionId < WEATHER_IDS.RAIN.max) return 'rain';
+  if (conditionId >= WEATHER_IDS.SNOW.min && conditionId < WEATHER_IDS.SNOW.max) return 'snow';
+  if (conditionId >= WEATHER_IDS.ATMOSPHERE.min && conditionId < WEATHER_IDS.ATMOSPHERE.max) return 'atmosphere';
+  if (conditionId === WEATHER_IDS.CLEAR) return 'clear';
  return 'clouds'; // Default for 801-899 (clouds)
};
```

---

`111-137`: **Excellent weather condition analysis and warning generation**

The logic to determine the most prominent weather condition and generate appropriate warnings is well-structured and provides valuable information to users.


Consider refactoring the warning generation logic into a separate function for better readability and testability:

```diff
+// Generate warnings based on weather conditions and prominent type
+const generateWeatherWarnings = (data, prominentConditionType) => {
+  const warnings = [];
+  if (data.hasThunder && prominentConditionType !== 'thunder') warnings.push('Thunderstorms possible');
+  if ((data.hasRain && !data.hasThunder) && prominentConditionType !== 'rain' && prominentConditionType !== 'drizzle') warnings.push('Rain expected');
+  if (data.hasSnow && prominentConditionType !== 'snow') warnings.push('Snow expected');
+  if (data.hasFog && prominentConditionType !== 'atmosphere') warnings.push('Reduced visibility possible');
+  return warnings;
+};

// In the main code:
-const warnings = [];
-if (data.hasThunder && prominentConditionType !== 'thunder') warnings.push('Thunderstorms possible');
-if ((data.hasRain && !data.hasThunder) && prominentConditionType !== 'rain' && prominentConditionType !== 'drizzle') warnings.push('Rain expected');
-if (data.hasSnow && prominentConditionType !== 'snow') warnings.push('Snow expected');
-if (data.hasFog && prominentConditionType !== 'atmosphere') warnings.push('Reduced visibility possible');
+const warnings = generateWeatherWarnings(data, prominentConditionType);
```

---

`1-393`: **Consider adding PropTypes or TypeScript types**

Given the complexity of the weather data structure and calculations, consider adding PropTypes or migrating to TypeScript to ensure type safety and improve maintainability.


For example, you could define PropTypes for the weather object structure:

```javascript
import PropTypes from 'prop-types';

// After the component definition
DailyWeatherData.propTypes = {
  // Add component props if applicable
};

// For internal object structures, you could add comments with type definitions:
/**
 * @typedef {Object} WeatherCondition
 * @property {number} count - Number of occurrences
 * @property {string} description - Weather description
 * @property {string} main - Main weather category
 * @property {string} icon - Icon identifier
 */

/**
 * @typedef {Object} DailyWeatherData
 * @property {number} precipitation - Precipitation probability
 * @property {number} humidity - Average humidity
 * @property {Object.<number, WeatherCondition>} weatherConditions - Weather conditions by ID
 * @property {boolean} hasRain - Flag for rain conditions
 * @property {boolean} hasThunder - Flag for thunderstorm conditions
 * @property {boolean} hasSnow - Flag for snow conditions
 * @property {boolean} hasFog - Flag for atmospheric conditions
 * // ... other properties
 */
```

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<details>
<summary>src/components/dailyWeather.jsx (6)</summary>

`9-9`: **Icon import looks good**

The import for IoWarningOutline is appropriate for the new weather warning feature you're implementing.

---

`54-54`: **Good data structure for tracking weather conditions**

The expanded data structure effectively tracks different weather conditions throughout the day, which supports the new warnings feature.



Also applies to: 63-68

---

`72-95`: **Well-implemented weather condition tracking logic**

The loop correctly identifies and categorizes different weather conditions by their ID ranges, setting appropriate flags for each condition type.

---

`147-154`: **Good structure for the returned weather object**

The weather object structure with the prominent condition and warnings array is well-designed and provides a clear interface for the UI components.

---

`263-275`: **Well-implemented warning display UI**

The warning display is visually distinct with appropriate colours and an icon, making it easy for users to notice important weather alerts. The conditional rendering ensures it only appears when needed.

---

`97-97`: <details>
<summary>❓ Verification inconclusive</summary>

**Verify precipitation calculation logic**

The precipitation calculation appears to have an inconsistency between how it's accumulated and how it's presented:
1. Line 97 initializes with 1 and multiplies by (1-pop) for each interval
2. Line 140 returns (1-precipitation)*100 as the final percentage

This creates an inverted calculation that may not reflect the actual probability of precipitation.


If you're calculating the probability of precipitation throughout the day, consider this fix:

```diff
-precipitation: Number(((1 - data.precipitation) * 100).toFixed(2)),
+precipitation: Number(((1 - data.precipitation) * 100).toFixed(2)), // Probability of precipitation during the day
```

Please verify your intended logic for this calculation.



Also applies to: 140-140

---



</details>

**Clarify Cumulative Precipitation Calculation**

The current implementation multiplies the initial value (set to 1) by `(1 - weatherAPI.pop)` for each time interval (line 97), and subsequently calculates the precipitation probability using `Number(((1 - data.precipitation) * 100).toFixed(2))` (line 140). Mathematically, this correctly yields the probability of at least one precipitation event throughout the day (i.e. 1 minus the product of no-precipitation chances).

Please verify the following:
- The intention is indeed to compute the cumulative probability by multiplying the non-precipitation chances (i.e. that `weatherAPI.pop` represents the probability of precipitation for each interval).
- If so, consider adding an inline comment to clarify that the calculation returns the overall probability of precipitation as `(1 - product) * 100`.

For clarity, if you decide to add such a comment, you might update the code as follows:

```diff
-precipitation: Number(((1 - data.precipitation) * 100).toFixed(2)),
+precipitation: Number(((1 - data.precipitation) * 100).toFixed(2)), // Represents the overall probability of at least one precipitation event during the day
```

Please review to ensure that this cumulative method matches the intended meteorological logic.

</details>

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<details>
<summary>🧹 Nitpick comments (5)</summary><blockquote>

<details>
<summary>src/components/dailyWeather.jsx (5)</summary><blockquote>

`11-20`: **Consider integrating classification logic with existing checks.**  
The helper function `getWeatherConditionType` correctly classifies condition IDs. However, note that lines 85–94 perform a similar classification. You could replace those direct checks with calls to this function for consistency and easier maintenance.  

```diff
- else if ((id >= 300 && id < 400) || (id >= 500 && id < 600)) {
-   dailyData[date].hasRain = true;
- } // ...
+ const conditionType = getWeatherConditionType(id);
+ if (conditionType === 'rain' || conditionType === 'drizzle') {
+   dailyData[date].hasRain = true;
+ } // ...
```

---

`63-68`: **Avoid accumulating too many boolean flags.**  
While these flags for rain, thunder, snow, and fog are straightforward, repeatedly adding booleans can become unwieldy. Consider using a single data structure or an enum-like object to track multiple weather phenomena more flexibly.

---

`72-95`: **Duplicate condition checks between lines 85–94 and `getWeatherConditionType`.**  
This block correctly updates flags for different weather conditions. However, remember that you introduced `getWeatherConditionType` in lines 11–20. Reusing that function could avoid duplication and reduce future maintenance overhead.

---

`113-155`: **Include a tie-break or multi-condition handling if needed.**  
Determining the most prominent weather condition by highest count is a good approach. In scenarios where multiple conditions share the highest count, you might wish to clarify or handle ties more explicitly. Consider whether messages should include both conditions in a tie.

---

`264-277`: **Validate styling and accessibility of warning messages.**  
Using a distinct icon and background is helpful, but be mindful of colour contrast for improved accessibility. You may also consider making these warnings translatable if you plan to support multiple locales.

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<details>
<summary>src/components/dailyWeather.jsx (3)</summary>

`9-9`: **Import of `IoWarningOutline` is appropriate.**  
This addition aligns well with the new warning display logic. No issues.

---

`54-54`: **`maxPrecipitation` initialization is properly introduced.**  
Replacing a single precipitation value with `maxPrecipitation` is a sensible approach for capturing the highest probability.

---

`97-98`: **Use of `maxPrecipitation` for tracking probability is correct.**  
This change accurately records the highest precipitation value among the time slots and is consistent with the logic at line 141, which converts it into a percentage.

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<details>
<summary>🧹 Nitpick comments (3)</summary><blockquote>

<details>
<summary>src/components/dailyWeather.jsx (3)</summary><blockquote>

`11-20`: **Consider unifying `getWeatherConditionType` with `getPhenomenonType`**  
These two functions share overlapping classification logic; merging them into a single function could reduce duplication and ease maintenance.  


```diff
-// getWeatherConditionType and getPhenomenonType both classify weather condition IDs
-// into categories like thunder, drizzle, rain, etc.
+// Example unified classification approach
+function classifyCondition(conditionId) {
+  if (conditionId >= 200 && conditionId < 300) return 'thunder';
+  if (conditionId >= 300 && conditionId < 400) return 'drizzle';
+  if (conditionId >= 500 && conditionId < 600) return 'rain';
+  if (conditionId >= 600 && conditionId < 700) return 'snow';
+  if (conditionId >= 700 && conditionId < 800) return 'fog';
+  if (conditionId === 800) return 'clear';
+  return 'clouds';
+}
// Then reuse a single classification function throughout.
```

---

`91-112`: **Comprehensive approach to track multiple conditions**  
This segment accurately accumulates weather condition counts and categorises them by phenomenon. If this code expands further, consider extracting the nested logic into helper methods for improved readability.

---

`296-309`: **User-friendly weather warnings**  
This dedicated warnings section offers clear alerts for unusual weather. You may wish to support i18n if you plan to localise these warning messages.

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<summary>🔇 Additional comments (6)</summary><blockquote>

<details>
<summary>src/components/dailyWeather.jsx (6)</summary>

`9-9`: **Use of `IoWarningOutline` is correct**  
The new import is properly utilised to render weather warnings.

---

`22-31`: **Good enumeration of phenomena**  
Defining these constants provides a convenient reference for all possible weather types. Consider referencing them directly in `getWeatherConditionType` for consistency.

---

`33-42`: **Logic aligns well with `WEATHER_PHENOMENA`**  
This function neatly maps weather condition IDs to known phenomena. Acceptable duplication, but be mindful of potential long-term maintenance of two classification functions.

---

`75-76`: **Initialising `maxPrecipitation` with zero is appropriate**  
Starting at 0 ensures capturing the maximum precipitation probability correctly throughout the iteration.

---

`85-87`: **Clear data structures for holistic tracking**  
The new `weatherConditions` and `phenomena` objects neatly group weather data, while storing `weather` from the first condition is a sensible default.

---

`114-115`: **Use of max precipitation for probability**  
Storing the maximum `pop` value preserves the highest forecast probability and multiplying by 100 for display is correct.

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<details>
<summary>♻️ Duplicate comments (1)</summary><blockquote>

<details>
<summary>src/components/dailyWeather.jsx (1)</summary><blockquote>

`148-148`: **Handle edge case when mostProminentConditionId is null.**

This implementation directly calls `getWeatherConditionType(mostProminentConditionId)` which relies on the function's null handling. While it works correctly due to your null check inside the function, consider using the ternary operator from previous reviews for more explicit edge case handling.


```diff
- const prominentConditionType = getWeatherConditionType(mostProminentConditionId);
+ const prominentConditionType = mostProminentConditionId !== null 
+   ? getWeatherConditionType(mostProminentConditionId) 
+   : 'clouds'; // Fallback to clouds to ensure an icon displays
```

</blockquote></details>

</blockquote></details>

<details>
<summary>🧹 Nitpick comments (1)</summary><blockquote>

<details>
<summary>src/components/dailyWeather.jsx (1)</summary><blockquote>

`35-43`: **Consider consolidating redundant mapping functions.**

The `getPhenomenonType` function largely duplicates the logic in `getWeatherConditionType`. Both map condition IDs to similar string values, which could lead to maintenance issues if one is updated without the other.

Consider consolidating these functions or using the enum values directly in `getWeatherConditionType`:

```diff
- const getWeatherConditionType = (conditionId) => {
-   if (conditionId == null) return 'partly-cloudy'; // Handle null/undefined with a reasonable default that ensures an icon
-   if (conditionId >= 200 && conditionId < 300) return 'thunder';
-   if (conditionId >= 300 && conditionId < 400) return 'drizzle';
-   if (conditionId >= 500 && conditionId < 600) return 'rain';
-   if (conditionId >= 600 && conditionId < 700) return 'snow';
-   if (conditionId >= 700 && conditionId < 800) return 'atmosphere';
-   if (conditionId === 800) return 'clear';
-   return 'clouds'; // Default for 801-899 (clouds)
- };

+ const getWeatherConditionType = (conditionId) => {
+   if (conditionId == null) return 'partly-cloudy'; // Handle null/undefined with a reasonable default that ensures an icon
+   if (conditionId >= 200 && conditionId < 300) return WEATHER_PHENOMENA.THUNDER;
+   if (conditionId >= 300 && conditionId < 400) return WEATHER_PHENOMENA.DRIZZLE;
+   if (conditionId >= 500 && conditionId < 600) return WEATHER_PHENOMENA.RAIN;
+   if (conditionId >= 600 && conditionId < 700) return WEATHER_PHENOMENA.SNOW;
+   if (conditionId >= 700 && conditionId < 800) return WEATHER_PHENOMENA.FOG;
+   if (conditionId === 800) return WEATHER_PHENOMENA.CLEAR;
+   return WEATHER_PHENOMENA.CLOUDS; // Default for 801-899 (clouds)
+ };

- // Map weather condition IDs to phenomena types
- const getPhenomenonType = (conditionId) => {
-   if (conditionId >= 200 && conditionId < 300) return WEATHER_PHENOMENA.THUNDER;
-   if (conditionId >= 300 && conditionId < 400) return WEATHER_PHENOMENA.DRIZZLE;
-   if (conditionId >= 500 && conditionId < 600) return WEATHER_PHENOMENA.RAIN;
-   if (conditionId >= 600 && conditionId < 700) return WEATHER_PHENOMENA.SNOW;
-   if (conditionId >= 700 && conditionId < 800) return WEATHER_PHENOMENA.FOG;
-   if (conditionId === 800) return WEATHER_PHENOMENA.CLEAR;
-   return WEATHER_PHENOMENA.CLOUDS;
- };
```

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<details>
<summary>src/components/dailyWeather.jsx (11)</summary>

`9-9`: **Good addition of the IoWarningOutline icon.**

This import is necessary for the new warnings feature and follows the existing pattern of component-specific imports.

---

`12-21`: **Well-structured helper function for weather condition mapping.**

The `getWeatherConditionType` function provides a clean way to centralize the mapping logic between weather condition IDs and their types. Good handling of null/undefined cases with a reasonable default to ensure an icon is always displayed.

---

`24-32`: **Good use of constants for consistent weather phenomena types.**

Creating a `WEATHER_PHENOMENA` object enhances code maintainability by using consistent string values throughout the component. This prevents typos and makes future changes easier to implement.

---

`77-77`: **Good restructuring of the dailyData object.**

The update from `precipitation` to `maxPrecipitation` and the addition of structured objects for `weatherConditions` and `phenomena` improves the data model. This helps track all weather conditions throughout the day instead of just the first one.



Also applies to: 86-88

---

`92-114`: **Well-implemented tracking system for weather conditions.**

This implementation properly tracks all weather conditions that occur during the day, along with their frequencies. The separation between raw conditions and categorized phenomena is excellent for both detailed display and warning generation.

---

`116-116`: **Improved precipitation calculation addressing the inaccuracy issue.**

Updating to use maximum precipitation probability (`Math.max`) instead of an average provides a more accurate representation of precipitation chance, addressing one of the key issues mentioned in the PR objectives.

---

`131-146`: **Robust implementation for finding the most prominent weather condition.**

The logic for determining the most prominent weather condition based on frequency is well-implemented. The fallback to the original weather condition ensures there's always a valid display, even in edge cases.

---

`151-170`: **Good implementation of warnings based on significant weather phenomena.**

The warning generation logic correctly identifies important weather events that differ from the dominant condition. This provides valuable additional information to users, especially for potentially hazardous conditions like thunderstorms, rain, and snow.

---

`174-174`: **Fixed precipitation calculation in the return object.**

Using `maxPrecipitation` directly and then converting to a percentage (multiplying by 100) gives users the most relevant information about precipitation probability.

---

`181-187`: **Well-structured object extension with warnings.**

The addition of warnings to the return object is well-implemented. Using both the warnings array and a boolean flag (`hasWarnings`) makes the rendering logic cleaner and more efficient.

---

`298-309`: **Excellent UI implementation for weather warnings.**

The conditional rendering of weather warnings with the warning icon provides a clear visual indication to users. The amber/orange color scheme appropriately conveys caution without being alarmist, and the styling is consistent with the rest of the application.

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<details>
<summary>♻️ Duplicate comments (1)</summary><blockquote>

<details>
<summary>src/components/dailyWeather.jsx (1)</summary><blockquote>

`137-141`: **Edge Case Handling for Null Weather Condition**

The code now properly handles the edge case for null condition IDs by checking explicitly and using a fallback, which addresses concerns raised in previous reviews.

</blockquote></details>

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<details>
<summary>🧹 Nitpick comments (1)</summary><blockquote>

<details>
<summary>src/components/dailyWeather.jsx (1)</summary><blockquote>

`142-162`: **Consider extracting warning generation to a separate function**

The warning generation logic is well-structured but could be extracted to a separate function to improve code readability and maintainability.


```diff
+ // Generate warnings based on weather phenomena and the prominent condition type
+ const generateWeatherWarnings = (phenomena, prominentConditionType) => {
+   const warnings = [];
+   
+   if (phenomena[WEATHER_PHENOMENA.THUNDER]?.count > 0 && 
+       prominentConditionType !== WEATHER_PHENOMENA.THUNDER) {
+     warnings.push('Thunderstorms possible');
+   }
+   
+   if ((phenomena[WEATHER_PHENOMENA.RAIN]?.count > 0 || 
+        phenomena[WEATHER_PHENOMENA.DRIZZLE]?.count > 0) && 
+       prominentConditionType !== WEATHER_PHENOMENA.RAIN && 
+       prominentConditionType !== WEATHER_PHENOMENA.DRIZZLE) {
+     warnings.push('Rain expected');
+   }
+   
+   if (phenomena[WEATHER_PHENOMENA.SNOW]?.count > 0 && 
+       prominentConditionType !== WEATHER_PHENOMENA.SNOW) {
+     warnings.push('Snow expected');
+   }
+   
+   if (phenomena[WEATHER_PHENOMENA.FOG]?.count > 0 && 
+       prominentConditionType !== WEATHER_PHENOMENA.FOG) {
+     warnings.push('Reduced visibility possible');
+   }
+   
+   return warnings;
+ };

  // Create warning messages based on phenomena
- const warnings = [];
- 
- // Check for significant weather phenomena that aren't the dominant condition type
- if (data.phenomena[WEATHER_PHENOMENA.THUNDER]?.count > 0 && prominentConditionType !== WEATHER_PHENOMENA.THUNDER) {
-   warnings.push('Thunderstorms possible');
- }
- 
- if ((data.phenomena[WEATHER_PHENOMENA.RAIN]?.count > 0 || data.phenomena[WEATHER_PHENOMENA.DRIZZLE]?.count > 0) && 
-     prominentConditionType !== WEATHER_PHENOMENA.RAIN && 
-     prominentConditionType !== WEATHER_PHENOMENA.DRIZZLE) {
-   warnings.push('Rain expected');
- }
- 
- if (data.phenomena[WEATHER_PHENOMENA.SNOW]?.count > 0 && prominentConditionType !== WEATHER_PHENOMENA.SNOW) {
-   warnings.push('Snow expected');
- }
- 
- if (data.phenomena[WEATHER_PHENOMENA.FOG]?.count > 0 && prominentConditionType !== WEATHER_PHENOMENA.FOG) {
-   warnings.push('Reduced visibility possible');
- }
+ // Generate warnings for this day's weather data
+ const warnings = generateWeatherWarnings(data.phenomena, prominentConditionType);
```

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<details>
<summary>src/components/dailyWeather.jsx (8)</summary>

`9-21`: **Well-structured weather phenomena constants**

The addition of the `IoWarningOutline` icon and the `WEATHER_PHENOMENA` constants provides clear categorisation and consistent handling of weather types throughout the component. Having these values centralised will make future maintenance easier.

---

`23-33`: **Clean implementation of weather condition classifier**

The `classifyWeatherCondition` function provides a clear mapping between condition IDs and weather phenomena types. The null/undefined handling with a default to `PARTLY_CLOUDY` is a good practice for preventing errors.

---

`66-79`: **Good data structure updates for accurate tracking**

Replacing `precipitation` with `maxPrecipitation` and adding structures to track all weather conditions is a good approach for more precise weather representation.

---

`106-106`: **Improved precipitation calculation**

Using the maximum precipitation probability rather than an average is more appropriate for representing weather conditions. This change makes the data more accurate.

---

`121-136`: **Good implementation for determining prominent weather condition**

The logic to find the most prominent weather condition based on count is robust. The fallback to using the initial weather data when no prominent condition is found is also a good practice.

---

`166-167`: **Correct use of maxPrecipitation**

The precipitation calculation now correctly uses the maximum precipitation probability, which aligns with the data structure changes made earlier.

---

`173-179`: **Good implementation of warnings in return object**

Including the warnings array and a boolean flag for hasWarnings in the return object is a clean approach for conditionally rendering weather alerts in the UI.

---

`290-301`: **Effective warning notification UI implementation**

The warning notification section with the amber colour scheme and warning icon provides a clear visual indication of potential weather concerns. The conditional rendering based on `weather.hasWarnings` is also efficient.

</details>

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<details>
<summary>♻️ Duplicate comments (2)</summary><blockquote>

<details>
<summary>src/components/dailyWeather.jsx (2)</summary><blockquote>

`86-86`: **Validation implementation addresses previous review comment**

This properly implements the validation for `weatherAPI.weather` that was suggested in a previous review comment. Good job addressing that feedback.

---

`153-155`: **Edge case handling for null condition addressed**

This implementation properly addresses the previous review comment about handling null weather conditions. Using the `WEATHER_PHENOMENA.PARTLY_CLOUDY` default ensures consistent behavior.

</blockquote></details>

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<details>
<summary>🧹 Nitpick comments (1)</summary><blockquote>

<details>
<summary>src/components/dailyWeather.jsx (1)</summary><blockquote>

`25-25`: **Consider improving null condition handling for better clarity**

The double equals (`==`) comparison with null will match both `null` and `undefined`. While this works, using a more explicit check might be clearer.

```diff
- if (conditionId == null) return WEATHER_PHENOMENA.PARTLY_CLOUDY; // Handle null/undefined
+ if (conditionId === null || conditionId === undefined) return WEATHER_PHENOMENA.PARTLY_CLOUDY; // Explicitly handle null/undefined
```

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<details>
<summary>src/components/dailyWeather.jsx (11)</summary>

`9-21`: **Well-structured constants for weather phenomena classification!**

The introduction of `WEATHER_PHENOMENA` object provides a consistent way to categorize and track different weather conditions. This helps eliminate magic strings throughout the code and improves maintainability.

I particularly like the addition of `PARTLY_CLOUDY` for null condition handling, which demonstrates good defensive programming.

---

`23-33`: **Excellent utility function for condition classification!**

The `classifyWeatherCondition` function elegantly maps weather condition IDs to their corresponding phenomena types. The null/undefined handling with a default return is a particularly good practice for resilience.

This function centralizes the classification logic, making it easier to maintain and reducing the chance of inconsistencies across the codebase.

---

`66-81`: **Good improvement to the data structure!**

Replacing `precipitation` with `maxPrecipitation` and adding `weatherConditions` and `phenomena` objects creates a more accurate representation of weather data. The fallback for missing weather data is also well-implemented.

This change directly addresses the PR objective of fixing precipitation calculation issues.

---

`84-107`: **Robust tracking of weather conditions and phenomena!**

This implementation properly validates the weather array before processing and maintains counts of each weather condition and phenomenon type. This is a significant improvement that directly addresses the "weather conditions reporting" issue mentioned in the PR objectives.

---

`108-118`: **Good handling of missing weather data!**

The default case for when weather data is missing or invalid ensures the application remains resilient. Using a default phenomenon type of `PARTLY_CLOUDY` maintains consistency with the rest of the application.

---

`120-121`: **Fixed precipitation calculation!**

Using the maximum precipitation probability value directly is a better approach than the previous calculation method, addressing one of the key issues mentioned in the PR objectives.

---

`136-156`: **Improved weather condition selection logic!**

Finding the most prominent weather condition based on occurrence count is a more accurate approach than the previous method. The fallback mechanism ensures that even if no condition is found, the application still displays something reasonable.

This is a key improvement that contributes to the PR's goal of fixing weather data inaccuracies.

---

`157-177`: **Great addition of weather warnings system!**

The implementation of weather warnings based on significant phenomena that aren't the dominant condition type provides valuable additional information to users. This directly addresses the PR objective of issuing warnings for important weather phenomena.

---

`181-181`: **Corrected precipitation formatting!**

The multiplication by 100 preserves the percentage format while using the more accurate `maxPrecipitation` value, maintaining UI consistency while fixing the underlying data issue.

---

`188-194`: **Well-structured return object with warnings!**

The updated weather object includes the most prominent condition's information and adds the new warnings array and flag. This maintains backward compatibility while enhancing the data structure.

---

`304-316`: **Excellent UI implementation for weather warnings!**

The warning display section is well-designed with appropriate styling and icon usage. The conditional rendering ensures it only appears when necessary, and the comma-separated list of warnings is easy to read.

This UI change completes the warnings system implementation mentioned in the PR objectives.

</details>

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Review comments:
diff_hunk: @@ -66,16 +126,64 @@ export const DailyWeatherData = memo(() => {
 
       const weatherArray = Object.keys(dailyData).map(date => {
         const data = dailyData[date];
+        
+        // Find the most prominent weather condition based on count
+        let mostProminentConditionId = null;
+        let highestCount = 0;
+        
+        Object.entries(data.weatherConditions).forEach(([conditionId, conditionData]) => {
+          if (conditionData.count > highestCount) {
+            highestCount = conditionData.count;
+            mostProminentConditionId = Number(conditionId);
+          }
+        });
+        
+        // Use the most prominent condition as the main weather condition
+        const prominentCondition = mostProminentConditionId ? 
+          data.weatherConditions[mostProminentConditionId] : 
+          { main: data.weather.main, description: data.weather.description };
+        
+        // Determine the type of the most prominent condition
+        const prominentConditionType = getWeatherConditionType(mostProminentConditionId);
+        
+        // Create warning messages based on phenomena
+        const warnings = [];
+        
+        // Check for significant weather phenomena that aren't the dominant condition type
+        if (data.phenomena[WEATHER_PHENOMENA.THUNDER]?.count > 0 && prominentConditionType !== WEATHER_PHENOMENA.THUNDER) {
+          warnings.push('Thunderstorms possible');
+        }
+        
+        if ((data.phenomena[WEATHER_PHENOMENA.RAIN]?.count > 0 || data.phenomena[WEATHER_PHENOMENA.DRIZZLE]?.count > 0) && 
+            prominentConditionType !== WEATHER_PHENOMENA.RAIN && 
+            prominentConditionType !== WEATHER_PHENOMENA.DRIZZLE) {
+          warnings.push('Rain expected');
+        }
+        
+        if (data.phenomena[WEATHER_PHENOMENA.SNOW]?.count > 0 && prominentConditionType !== WEATHER_PHENOMENA.SNOW) {
+          warnings.push('Snow expected');
+        }
+        
+        if (data.phenomena[WEATHER_PHENOMENA.FOG]?.count > 0 && prominentConditionType !== WEATHER_PHENOMENA.FOG) {
+          warnings.push('Reduced visibility possible');
+        }
+        
         return {
           date,
-          precipitation: data.precipitation,
+          precipitation: Number((data.maxPrecipitation * 100).toFixed(2)), // Use maxPrecipitation directly
           humidity: Number((data.humidity / data.count).toFixed(2)),
           visibility: Number((data.visibility / data.count).toFixed(2)),
           windSpeed: Number((data.windSpeed / data.count).toFixed(2)),
           windDegrees: ((Math.atan2(data.windSin, data.windCos) * 180) / Math.PI + 360) % 360,
           tempMin: data.tempMin,
           tempMax: data.tempMax,
-          weather: data.weather
+          weather: {
+            ...data.weather,
+            main: prominentCondition.main,
+            description: prominentCondition.description
+          },
+          warnings: warnings,
+          hasWarnings: warnings.length > 0
path: src/components/dailyWeather.jsx
user: login: coderabbitai[bot]
body: _💡 Verification agent_

<details>
<summary>🧩 Analysis chain</summary>

**Handle edge case when `mostProminentConditionId` is `null`**  
If no valid condition ID is present, calling `getWeatherConditionType(null)` defaults to `'clouds'`, which may be misleading. Consider short-circuit handling to label the condition as `'unknown'` or revert to a known default.

---

🏁 Script executed:

```shell
#!/bin/bash
# Searching for usage of DailyWeatherData in the codebase to see if there's any scenario
# where weatherAPI.weather array might be empty or undefined.
rg -A 3 'DailyWeatherData'
```

Length of output: 1079

---



</details>

**Edge Case Handling for Null Weather Condition**

The code currently calls `getWeatherConditionType(mostProminentConditionId)` even when `mostProminentConditionId` is `null`, which forces it to return `'clouds'` by default. This default might be misleading if no valid condition is found. I recommend short-circuiting the function call or modifying `getWeatherConditionType` to explicitly handle a `null` argument by returning a more appropriate value (e.g. `'unknown'`). For example:

```diff
- const prominentConditionType = getWeatherConditionType(mostProminentConditionId);
+ const prominentConditionType = mostProminentConditionId !== null ? getWeatherConditionType(mostProminentConditionId) : 'unknown';
```

Please ensure that this change is consistent with how other parts of the application expect to handle edge cases.  


<!-- suggestion_start -->

<details>
<summary>📝 Committable suggestion</summary>

> ‼️ **IMPORTANT**
> Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

`````suggestion
        // Find the most prominent weather condition based on count
        let mostProminentConditionId = null;
        let highestCount = 0;
        
        Object.entries(data.weatherConditions).forEach(([conditionId, conditionData]) => {
          if (conditionData.count > highestCount) {
            highestCount = conditionData.count;
            mostProminentConditionId = Number(conditionId);
          }
        });
        
        // Use the most prominent condition as the main weather condition
        const prominentCondition = mostProminentConditionId ? 
          data.weatherConditions[mostProminentConditionId] : 
          { main: data.weather.main, description: data.weather.description };
        
        // Determine the type of the most prominent condition
        const prominentConditionType = mostProminentConditionId !== null ? getWeatherConditionType(mostProminentConditionId) : 'unknown';
        
        // Create warning messages based on phenomena
        const warnings = [];
        
        // Check for significant weather phenomena that aren't the dominant condition type
        if (data.phenomena[WEATHER_PHENOMENA.THUNDER]?.count > 0 && prominentConditionType !== WEATHER_PHENOMENA.THUNDER) {
          warnings.push('Thunderstorms possible');
        }
        
        if ((data.phenomena[WEATHER_PHENOMENA.RAIN]?.count > 0 || data.phenomena[WEATHER_PHENOMENA.DRIZZLE]?.count > 0) && 
            prominentConditionType !== WEATHER_PHENOMENA.RAIN && 
            prominentConditionType !== WEATHER_PHENOMENA.DRIZZLE) {
          warnings.push('Rain expected');
        }
        
        if (data.phenomena[WEATHER_PHENOMENA.SNOW]?.count > 0 && prominentConditionType !== WEATHER_PHENOMENA.SNOW) {
          warnings.push('Snow expected');
        }
        
        if (data.phenomena[WEATHER_PHENOMENA.FOG]?.count > 0 && prominentConditionType !== WEATHER_PHENOMENA.FOG) {
          warnings.push('Reduced visibility possible');
        }
        
        return {
          date,
          precipitation: Number((data.maxPrecipitation * 100).toFixed(2)), // Use maxPrecipitation directly
          humidity: Number((data.humidity / data.count).toFixed(2)),
          visibility: Number((data.visibility / data.count).toFixed(2)),
          windSpeed: Number((data.windSpeed / data.count).toFixed(2)),
          windDegrees: ((Math.atan2(data.windSin, data.windCos) * 180) / Math.PI + 360) % 360,
          tempMin: data.tempMin,
          tempMax: data.tempMax,
          weather: {
            ...data.weather,
            main: prominentCondition.main,
            description: prominentCondition.description
          },
          warnings: warnings,
          hasWarnings: warnings.length > 0
        }
`````

</details>

<!-- suggestion_end -->

<!-- This is an auto-generated reply by CodeRabbit -->
created_at: 2025-04-07T08:54:17Z
author_association: CONTRIBUTOR
diff_hunk: @@ -66,16 +126,64 @@ export const DailyWeatherData = memo(() => {
 
       const weatherArray = Object.keys(dailyData).map(date => {
         const data = dailyData[date];
+        
+        // Find the most prominent weather condition based on count
+        let mostProminentConditionId = null;
+        let highestCount = 0;
+        
+        Object.entries(data.weatherConditions).forEach(([conditionId, conditionData]) => {
+          if (conditionData.count > highestCount) {
+            highestCount = conditionData.count;
+            mostProminentConditionId = Number(conditionId);
+          }
+        });
+        
+        // Use the most prominent condition as the main weather condition
+        const prominentCondition = mostProminentConditionId ? 
+          data.weatherConditions[mostProminentConditionId] : 
+          { main: data.weather.main, description: data.weather.description };
+        
+        // Determine the type of the most prominent condition
+        const prominentConditionType = getWeatherConditionType(mostProminentConditionId);
+        
+        // Create warning messages based on phenomena
+        const warnings = [];
+        
+        // Check for significant weather phenomena that aren't the dominant condition type
+        if (data.phenomena[WEATHER_PHENOMENA.THUNDER]?.count > 0 && prominentConditionType !== WEATHER_PHENOMENA.THUNDER) {
+          warnings.push('Thunderstorms possible');
+        }
+        
+        if ((data.phenomena[WEATHER_PHENOMENA.RAIN]?.count > 0 || data.phenomena[WEATHER_PHENOMENA.DRIZZLE]?.count > 0) && 
+            prominentConditionType !== WEATHER_PHENOMENA.RAIN && 
+            prominentConditionType !== WEATHER_PHENOMENA.DRIZZLE) {
+          warnings.push('Rain expected');
+        }
+        
+        if (data.phenomena[WEATHER_PHENOMENA.SNOW]?.count > 0 && prominentConditionType !== WEATHER_PHENOMENA.SNOW) {
+          warnings.push('Snow expected');
+        }
+        
+        if (data.phenomena[WEATHER_PHENOMENA.FOG]?.count > 0 && prominentConditionType !== WEATHER_PHENOMENA.FOG) {
+          warnings.push('Reduced visibility possible');
+        }
+        
         return {
           date,
-          precipitation: data.precipitation,
+          precipitation: Number((data.maxPrecipitation * 100).toFixed(2)), // Use maxPrecipitation directly
           humidity: Number((data.humidity / data.count).toFixed(2)),
           visibility: Number((data.visibility / data.count).toFixed(2)),
           windSpeed: Number((data.windSpeed / data.count).toFixed(2)),
           windDegrees: ((Math.atan2(data.windSin, data.windCos) * 180) / Math.PI + 360) % 360,
           tempMin: data.tempMin,
           tempMax: data.tempMax,
-          weather: data.weather
+          weather: {
+            ...data.weather,
+            main: prominentCondition.main,
+            description: prominentCondition.description
+          },
+          warnings: warnings,
+          hasWarnings: warnings.length > 0
path: src/components/dailyWeather.jsx
user: login: coderabbitai[bot]
body: @vikingnope I understand your need to always display an icon. Instead of returning 'unknown', let's use 'clouds' as the fallback value when no prominent condition is found, since that appears to be the default in your existing `getWeatherConditionType` function and should have a corresponding icon:

```javascript
// Determine the type of the most prominent condition
const prominentConditionType = mostProminentConditionId !== null 
  ? getWeatherConditionType(mostProminentConditionId) 
  : 'clouds'; // Fallback to clouds to ensure an icon displays
```

This ensures you'll always have a valid icon to display, while still handling the edge case explicitly.

<!-- This is an auto-generated reply by CodeRabbit -->
created_at: 2025-04-07T08:58:24Z
author_association: CONTRIBUTOR
diff_hunk: @@ -48,11 +73,37 @@ export const DailyWeatherData = memo(() => {
             tempMin: weatherAPI.main.temp,
             tempMax: weatherAPI.main.temp,
             count: 0,
-            weather: weatherAPI.weather[0]
+            weatherConditions: {},             // Track all weather conditions with counts
+            phenomena: {},                     // Single object to track all weather phenomena
+            weather: weatherAPI.weather[0]     // Store the first condition initially
           };
-        } else {
-          dailyData[date].precipitation = Math.max(dailyData[date].precipitation, weatherAPI.pop * 100);
         }
+
+        // Track all weather conditions that occur during the day
+        for (const condition of weatherAPI.weather) {
+          if (!dailyData[date].weatherConditions[condition.id]) {
+            dailyData[date].weatherConditions[condition.id] = {
+              count: 0,
+              description: condition.description,
+              main: condition.main,
+              icon: condition.icon
+            };
+          }
+          dailyData[date].weatherConditions[condition.id].count += 1;
+          
+          // Track weather phenomena using the single object
+          const phenomenonType = classifyWeatherCondition(condition.id);
+          if (!dailyData[date].phenomena[phenomenonType]) {
+            dailyData[date].phenomena[phenomenonType] = {
+              count: 0,
+              description: condition.description
+            };
+          }
+          dailyData[date].phenomena[phenomenonType].count += 1;
+        }
path: src/components/dailyWeather.jsx
user: login: coderabbitai[bot]
body: _⚠️ Potential issue_

**Add validation for weatherAPI.weather array**

The code assumes that `weatherAPI.weather` is always a valid array. There's no validation to handle cases where it might be undefined or empty.


```diff
- // Track all weather conditions that occur during the day
- for (const condition of weatherAPI.weather) {
+ // Track all weather conditions that occur during the day
+ if (Array.isArray(weatherAPI.weather) && weatherAPI.weather.length > 0) {
+   for (const condition of weatherAPI.weather) {
      if (!dailyData[date].weatherConditions[condition.id]) {
        dailyData[date].weatherConditions[condition.id] = {
          count: 0,
          description: condition.description,
          main: condition.main,
          icon: condition.icon
        };
      }
      dailyData[date].weatherConditions[condition.id].count += 1;
      
      // Track weather phenomena using the single object
      const phenomenonType = classifyWeatherCondition(condition.id);
      if (!dailyData[date].phenomena[phenomenonType]) {
        dailyData[date].phenomena[phenomenonType] = {
          count: 0,
          description: condition.description
        };
      }
      dailyData[date].phenomena[phenomenonType].count += 1;
+   }
  }
```


<!-- suggestion_start -->

<details>
<summary>📝 Committable suggestion</summary>

> ‼️ **IMPORTANT**
> Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

`````suggestion
        // Track all weather conditions that occur during the day
        if (Array.isArray(weatherAPI.weather) && weatherAPI.weather.length > 0) {
          for (const condition of weatherAPI.weather) {
            if (!dailyData[date].weatherConditions[condition.id]) {
              dailyData[date].weatherConditions[condition.id] = {
                count: 0,
                description: condition.description,
                main: condition.main,
                icon: condition.icon
              };
            }
            dailyData[date].weatherConditions[condition.id].count += 1;
            
            // Track weather phenomena using the single object
            const phenomenonType = classifyWeatherCondition(condition.id);
            if (!dailyData[date].phenomena[phenomenonType]) {
              dailyData[date].phenomena[phenomenonType] = {
                count: 0,
                description: condition.description
              };
            }
            dailyData[date].phenomena[phenomenonType].count += 1;
          }
        }
`````

</details>

<!-- suggestion_end -->

<!-- This is an auto-generated comment by CodeRabbit -->
created_at: 2025-04-07T09:16:00Z
author_association: CONTRIBUTOR

PR comments:
user: login: vercel[bot]
created_at: 2025-04-07T07:51:19Z
body: [vc]: #7CkI/He9SVsuqCrnclkRSGT9tMvtpGQJXXlr6kNlOhE=: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
**The latest updates on your projects**. Learn more about [Vercel for Git ↗︎](https://vercel.link/github-learn-more)

| Name | Status | Preview | Comments | Updated (UTC) |
| :--- | :----- | :------ | :------- | :------ |
| **worther** | ✅ Ready ([Inspect](https://vercel.com/vikingnopes-projects/worther/5tqBF4kgbNLZetBTHqWVKdJaTDX1)) | [Visit Preview](https://worther-git-daily-data-accuracy-fixes-vikingnopes-projects.vercel.app) | 💬 [**Add feedback**](https://vercel.live/open-feedback/worther-git-daily-data-accuracy-fixes-vikingnopes-projects.vercel.app?via=pr-comment-feedback-link) | Apr 7, 2025 9:27am |


author_association: NONE
user: login: coderabbitai[bot]
created_at: 2025-04-07T07:51:21Z
body: <!-- This is an auto-generated comment: summarize by coderabbit.ai -->
<!-- walkthrough_start -->

## Walkthrough
This update enhances the `DailyWeatherData` component in the weather application. It introduces new logic for tracking and displaying various weather conditions and warnings, including a new icon for alerts. The precipitation handling has been adjusted to use a maximum value, and the data structure has been expanded to include properties for specific weather conditions. A warnings system has been added to conditionally render alerts based on the processed weather data.

## Changes

| File                                      | Change Summary                                                                                                                                                             |
|-------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| `src/components/dailyWeather.jsx`        | - Added import for `IoWarningOutline` from `react-icons/io5`.<br>- Introduced `WEATHER_PHENOMENA` constant and `classifyWeatherCondition` function.<br>- Refactored precipitation handling to use `maxPrecipitation`.<br>- Expanded daily data structure with new properties (`weatherConditions`, `phenomena`).<br>- Enhanced weather condition processing including warnings generation and condition ranking.<br>- Added conditional JSX rendering for warnings using `IoWarningOutline`. |
| `src/resources/CHANGELOG.md`             | - Added entry for a fix addressing data inaccuracies in the daily weather page logic.                                                                                     |

## Possibly related PRs
- **vikingnope/worther#126**: The changes in the main PR enhance the `DailyWeatherData` component with new weather classification and warning logic, while the retrieved PR focuses on restructuring data handling and error management in the same component, indicating a strong connection in their modifications. 

## Suggested labels
`Optimisation`

## Poem
> I'm a bunny coding through the night,  
> Enhancements made, everything feels so light.  
> Weather warnings now dance in the air,  
> With `IoWarningOutline` shining fair.  
> Hopping along, making code bright,  
> Debug logs kept in clear sight.  
> Cheers to changes, merry and right!

<!-- walkthrough_end -->
<!-- internal state start -->


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<!-- internal state end -->
<!-- finishing_touch_checkbox_start -->

<details>
<summary>✨ Finishing Touches</summary>

- [ ] <!-- {"checkboxId": "7962f53c-55bc-4827-bfbf-6a18da830691"} --> 📝 Generate Docstrings

</details>

<!-- finishing_touch_checkbox_end -->
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author_association: CONTRIBUTOR