4ENXFY

The committed implementation contains the pinned four-city dataset and all required three-day forecast values, including Rome day 2 as 26 cloudy (commit:b9dc15fcd5f5c9eaedae0ab1fe407ce795c336ab, file:src/data.js:12-39). The card view renders visible buttons for every city, updates the selected city and card weather without requiring address-bar interaction, and the forecast view renders all three days with temperature and condition plus a back control (file:src/app.js:21-88). The completion note accurately describes these shipped behaviors (.ololo/weather-widget-forecast-done.md:1-6). However, the supplied screencast frames do not demonstrate the live flow: they show a blank/loading state rather than switching or opening the forecast, and the available stills only show a Rome card, a clipped mobile card, and unknown-city output (probe:f91a827d-3681-481b-8402-dbc288a66f27). The mobile screenshot also visibly clips the card horizontally, despite the earlier feedback about narrow-screen overflow (probe:cd2ad664-560f-4a80-91f4-545a4943e49b).

The delivered desktop and screencast frames show a clean, centered widget with strong hierarchy: search first, quick picks second, then a highly legible city, temperature, condition, wind, and unit control. The layout is intentionally sparse and readable. Evidence: probe:4691ec55-e969-406e-93a8-7b2f6889aefd; probe:cd2ad664-560f-4a80-91f4-545a4943e49b; commit:1d9f6895cfc330e9533a819f80809372fda06695; file:src/styles.css:17-125

The screenshot shows strong dark-on-light contrast, large readable temperature text, and human-readable conditions. Markup includes lang=en, viewport metadata, a semantic main landmark, h1 card heading, form controls with an aria-label, nav aria-label, and aria-live for dynamic results. Condition accents supplement rather than replace text. Evidence: probe:4691ec55-e969-406e-93a8-7b2f6889aefd; commit:1d9f6895cfc330e9533a819f80809372fda06695; file:index.html:1-17; file:src/app.js:43-84

The available narrow screencast frame visibly clips the Rome card at the right edge, confirming horizontal overflow/truncation on mobile. Although the CSS uses a fluid widget width and box-sizing, the actual delivered mobile evidence does not hold up, and no newer mobile capture was delivered to demonstrate a fix. Evidence: probe:4691ec55-e969-406e-93a8-7b2f6889aefd; commit:1d9f6895cfc330e9533a819f80809372fda06695; file:src/styles.css:14-27

The delivered desktop screenshot shows a clean, centered weather card with strong temperature hierarchy, readable condition, and clear city switcher controls. However, the available forecast screencast frames show only blank/loading states, so the forecast surface and live flow cannot be visually verified.

The markup uses real headings, buttons, a labeled city navigation region, aria-current for the selected city, and a semantic list for forecast days. Text contrast is generally strong in the delivered card screenshot. The forecast interaction itself is not visible in the screencast evidence.

The narrow screenshot visibly clips the card horizontally: its right edge and content are outside the 375px viewport. This is a major mobile layout failure, despite the card remaining readable on the visible portion. The CSS evidence also defines a fixed maximum widget width without a narrow-view adjustment.

The implementation uses Open-Meteo geocoding and current-weather APIs rather than relying on the built-in table (src/live.js:1-67; src/app.js:24-43, 181-208), and the completion note correctly names the service and describes the shipped behavior (.ololo/weather-widget-live-done.md). The screencast visibly demonstrates the search interaction with “Berlin” being typed, but the sampled frames do not show Berlin’s live result after submission; they instead show the prior New York card and then a Rome card, so the central search-result scenario is not fully proven (probe:4691ec55-e969-406e-93a8-7b2f6889aefd). The implementation does handle unknown cities with a polite notice while retaining the search UI (src/app.js:181-208), maps WMO codes to human-readable conditions and converts Celsius to Fahrenheit (src/live.js:10-22; src/weather.js:15-29). Quick picks fetch live values asynchronously and visibly render live-looking cards, with a labeled fallback during loading/offline conditions (src/app.js:24-43, 104-125). The supplied mobile screenshot shows the card clipped horizontally, confirming the prior narrow-screen layout issue remains (artifact cd2ad664-560f-4a80-91f4-545a4943e49b/mobile.png).

No screenshot was delivered, so the visual review could not happen. Markup indicates a structured weather card and forecast row, but the browser appearance cannot be scored from code alone.

No screenshot was delivered, so the visual review could not happen. Markup provides lang, viewport, headings, labels, and aria-live, but rendered contrast and final presentation cannot be fully assessed.

No screenshot was delivered, so the visual review could not happen. The stylesheet contains a narrow-width media query, but actual overflow, truncation, and touch usability cannot be judged without a capture.

The committed interface has a clear weather-card hierarchy, prominent temperature and condition, visible city switcher tabs, and a dedicated three-day forecast layout. The implementation uses themed cards and consistent spacing rather than default unstyled content, but no screenshot or screencast was delivered to verify the rendered appearance.

The markup uses lang=en, semantic main/nav/section headings, real text for weather values, aria-label on the city navigation, aria-pressed on city buttons, aria-live regions, and aria-hidden only for decorative icons. Buttons are real controls and the color themes are paired with text condition labels, so information is not color-only. Rendered contrast could not be directly confirmed without a screenshot.

The layout has a fluid widget width capped by 92vw, flexible wrapping city controls, responsive viewport metadata, and a media query that changes the three-column forecast into a single-column list below 420px. This is strong markup/CSS evidence for narrow layouts, though no mobile screenshot was delivered to verify the final rendering and touch behavior.

The committed implementation directly supports the required product behavior: four visible city-tab controls switch in-page state without changing the URL, each landing card renders that city's conditions, the forecast button opens exactly three forecast days with day, temperature, and condition, and Back returns to the card. The pinned forecast dataset is represented exactly in js/data.js, including Rome Day 2 as 26 and cloudy. The completion note accurately describes the shipped functionality, though its claim of live browser verification cannot be independently confirmed here because no screencast artifact was delivered. The lack of a screencast means the required interactive-flow evidence is missing, but the code itself is coherent and complete.

Beyond the requested flows, the build adds distinct condition-themed visual treatments for both the current card and each forecast day, a Fahrenheit query-parameter mode, a robust unknown-city message, and a no-JavaScript static fallback. These are relevant, user-facing touches that make the widget more forgiving and useful without obstructing the core interaction.

The weather dataset is defined in a single source file (js/data.js) matching the required values, satisfying source of truth and honesty. However the same data is duplicated in the HTML noscript fallback markup, creating shadow data and breaking the single source principle, which caps the score at 5 and incurs a penalty.

The codebase cleanly separates concerns: js/data.js holds the sole dataset, js/weather.js implements pure business logic with no DOM access, and js/app.js is responsible only for UI rendering, state handling, and event wiring. Component boundaries are clear—each module has a single purpose and exposes a well‑defined API (e.g., buildViewModel, formatTemp, etc.). Dependencies flow one‑way from the UI layer to the data and logic layers, with no circular imports (app.js → weather.js & data.js, weather.js does not import app.js). The structure is proportional to the task: three concise source files plus an HTML view and tests provide just enough abstraction without unnecessary layering. Minor over‑modularisation (splitting tiny utilities into separate files) is the only small drawback, but overall the architecture is strong.

The code uses clear, descriptive names, separates concerns (DOM vs logic), and has no dead or duplicated code. Render functions are concise and reusable, and the dataset and theme definitions are centralized. Duplication is minimal (only a few repeated style assignments), well under the 10% threshold.

Functions are short, with low nesting depth and clear responsibilities. Error handling is present (e.g., formatTemp validates input). Magic values are encapsulated (units, condition themes). New developers can safely modify city switching or forecast rendering without impacting other parts.

The test suite contains many concrete assertions covering dataset integrity, helper functions, and the forecast data (e.g., scenario tests, dataset matching, formatTemp, themeFor, forecastDay). However, it lacks integration or end‑to‑end tests that simulate the required UI flows—switching cities via controls and opening/returning from the full forecast. Consequently, while unit coverage is strong, coverage of the core interactive behavior is missing, limiting the overall effectiveness of the tests.

Beyond the basic live-weather brief, the build adds a useful °C/°F switch that applies to fetched values, live wind context, human-readable WMO condition mapping, loading feedback, polite service/unknown-city errors, deep-linkable pinned views, and a labeled offline fallback. The Open-Meteo integration and fallback behavior are implemented in code, and the delivered screencast visibly shows the search interaction beginning and a refreshed pinned-city card. However, the supplied capture does not visibly show Berlin's live result after submission, so the most important extra capability is only partially demonstrated.

The widget’s truth is the Open‑Meteo service accessed via src/live.js (GEO/WX URLs and fetchCurrent), a single identifiable source. The original static tables in src/data.js remain only as a labeled offline fallback, not as the primary source, so there is some duplication but it is clearly marked. No hard‑coded values appear in markup that contradict the live source; the UI displays a fallback notice when the service is unreachable. Data fetching and shaping are encapsulated in live.js and used by app.js (e.g., refreshPinned and searchCity), keeping the data layer separate from presentation. The live service is used for searched cities and quick‑pick cards, satisfying honesty of sourcing. Overall the implementation follows good data practices with only minor penalty for retaining the fallback dataset.

All identifiers are descriptive (e.g., findCity, fetchCurrent, pinnedLive) and there is no dead or duplicated code. The weather code mapping is defined once in src/live.js and reused. Functions are short and well‑named, and the built‑in tables are clearly labeled as fallback.

The code is modular with separate modules for live fetching, static data, and UI rendering. Functions stay under a reasonable length, nesting depth is low, and error handling is present for network failures. Units are handled via clear helpers (temperatureIn, unitLabel). Magic numbers are encapsulated in the CODE_WORDS table with comments, keeping the logic understandable.

The codebase cleanly separates concerns: src/live.js handles all external API calls and maps raw data to the widget format (lines 1‑24, 39‑61), src/weather.js provides data‑access for the built‑in city table and conversion utilities (lines 1‑25), and src/app.js is the only module that manipulates the DOM and orchestrates state (lines 1‑135). Modules have single responsibilities with clear exports (findCity, fetchCurrent, getWeather, citySlugs, etc.) and there are no circular imports—app.js depends on weather.js and live.js, while weather.js depends on data.js only (evidence: imports on lines 1‑4 of each file). The layering is proportional to the small widget size: three focussed source files plus a static data file, avoiding unnecessary abstraction. The only minor drawback is that UI rendering and state logic are co‑located in app.js, but given the project's scope this is acceptable and does not impede testability of the individual data layers.

The test suite contains concrete assertions (e.g., checking rome temperature and condition, unit conversion) so it is not assertion‑free. However, it only exercises static data in src/weather.js and does not verify the live weather service, error UI, or integration of the widget with the UI. Important scenarios such as fetching real data, handling unknown cities with a polite message, and unit toggle behavior are missing. All tests are unit‑level; there are no integration or end‑to‑end tests that would check the assembled product. Thus the coverage and level mix are insufficient for the task’s requirements.

All weather information lives in a single source file (src/data.js) defining CITIES and FORECAST, which exactly match the pinned dataset. No values are duplicated elsewhere (no shadow data). The data access is abstracted through getWeather, getForecast, etc., in src/weather.js, providing a clear separation between data layer and UI. All output values are derived from these functions, honoring the dataset.

The code cleanly separates concerns: src/data.js holds the static datasets, src/weather.js provides data‑access and business‑logic functions, and src/app.js contains all presentation and interaction logic. Each module is small and single‑purpose with clear exported interfaces (e.g., getWeather, getForecast in weather.js). Dependencies flow one‑way (app → weather → data) with no circular imports. The structure is proportional to the task size—three core source files plus styles and tests are sufficient for the widget’s functionality.

Clear naming (e.g., getWeather, temperatureIn), no dead code, and minimal duplication. The rendering functions are concise and distinct, avoiding copy‑paste blocks. The only repeated literals are simple class names, which is acceptable.

The code is modular with small functions, shallow nesting, and explicit error handling for unknown cities. Magic values are limited to unit strings and view identifiers, which are consistently used. A newcomer can safely modify data or UI without risking regressions.

The test suite contains concrete assertions for core data functions (weather retrieval, forecast, unit conversion) and verifies a specific dataset value (Rome day 2). However, it does not exercise the interactive UI flows required by the task (city switching, opening full forecast, returning to card). Thus coverage of the critical behavior is missing, and the suite consists solely of unit tests without integration or end‑to‑end verification, limiting its effectiveness.

The implementation satisfies all required scenarios: the Rome card displays 29 and sunny, Fahrenheit conversion is correctly rounded to 91 for Bangkok, and an unknown city renders the exact polite message. The pinned four-city dataset is the sole source, with clean separation between data, weather logic, rendering, and tests. The UI is visually polished and readable, with responsive sizing, condition-specific accents, wind information, and a unit toggle visible in the delivered screenshots. A minor product limitation is that the default URL with no city silently selects NYC, which is reasonable but not specified, and the mobile screenshot appears horizontally clipped rather than fully responsive at the captured viewport. The completion note accurately describes the shipped behavior.

The screenshots show a clean, centered weather card with a strong temperature hierarchy, readable city/condition/wind details, subtle shadow, and condition-based accent styling. The composition is intentionally minimal, though the large amount of unused space and lack of richer weather context make it feel somewhat sparse.

The rendered text has strong dark-on-light contrast and the key weather values are represented as real text. The markup includes lang, viewport metadata, a semantic h1, and aria-live for the widget. The condition accent color is accompanied by a textual condition label, so meaning is not color-only.

The supplied narrow screenshot shows the card visibly extending beyond the right edge and being clipped, so the mobile layout does not hold up without horizontal overflow. The CSS uses a fluid widget width, but the captured result demonstrates that this is insufficient in the delivered viewport.

The code uses clear, descriptive names (e.g., getWeather, temperatureIn, unitLabel) and has no dead or duplicated code. Logic is separated into small modules, and no copy‑paste blocks appear across files.

Functions are short and single‑purpose, nesting depth is minimal, error handling for unknown cities is explicit, and magic values (unit symbols) are encapsulated in unitLabel. New cities or unit changes would be easy to add without affecting existing logic.

The project cleanly separates concerns: src/data.js holds static data, src/weather.js contains pure business logic (lookup, conversion, formatting) with no DOM access, and src/app.js handles URL parsing and DOM rendering. Each module is small, single‑purpose with a clear exported interface, enabling isolated testing (evidenced by tests/weather.test.js). Dependencies flow one way (app → weather → data) with no circular imports. The layering matches the tiny scope of the widget, avoiding unnecessary abstraction while still providing modular structure.

The weather dataset is defined once in src/data.js (CITIES constant) and referenced via getWeather from src/weather.js. No duplicate definitions or hard‑coded values appear elsewhere. All rendering logic uses this source, with conversion and unit handling isolated in src/weather.js, demonstrating clear data layer separation. The widget output (temperature, condition, unknown city handling) is derived directly from the pinned dataset, meeting honesty of sourcing.

The test suite contains concrete assertions for all required scenarios: it verifies the temperature and condition for Rome, checks conversion to Fahrenheit for Bangkok, ensures unknown cities return null, and validates helper functions (temperature conversion, unit handling, labels). All tests assert expected values, not just that code runs. Coverage includes happy paths, the error path for unknown cities, and unit conversion, but it lacks integration/end‑to‑end tests that would exercise the rendered HTML page. According to the rubric, a solid unit‑test‑only suite without integration tests is capped at 7.0.

There are several potentially useful extras—condition-specific visual themes, humidity/wind metadata, a five-day forecast, a city selector, and pure validation helpers—but the delivered implementation visibly fails the requested product dataset and URL behavior: js/data.js contains Kyiv, Oslo, Tokyo, and Reykjavik rather than the required NYC, Sao Paulo, Bangkok, and Rome, while js/app.js ignores URL query parameters, has no Fahrenheit conversion, and silently returns on unknown cities instead of showing “unknown city.” Because the core scenarios are broken, the extra scope does not earn a positive creativity score under the rubric.

All identifiers are descriptive (e.g., WEATHER_DATA, getCityWeather, formatTemp). No dead code or obvious copy‑paste blocks. Functions are well‑named and separated, and the fallback theme is clearly isolated. The codebase is concise without unnecessary repetition.

Functions are short, shallowly nested, and pure where possible, making them easy to test and modify. Errors are explicitly handled (formatTemp throws on bad input, forecastRange validates array length). Magic values (condition strings, color codes) are centralized in CONDITION_THEMES. The separation of data, logic, and DOM rendering supports safe changes by newcomers.

The project separates concerns into three clear layers: js/data.js holds only static data, js/weather.js contains pure, testable logic without any DOM access, and js/app.js is responsible solely for DOM rendering and user interaction. Dependencies flow one-way from data → logic → UI, with no circular imports. Component boundaries are well‑defined and each file has a single responsibility, making them replaceable and testable in isolation. The overall structure is proportionate for a widget – a few small modules – though the dataset and some extra features (forecast, humidity) are beyond the minimal requirement, adding slight unnecessary complexity. Nevertheless the architecture remains clean and fit for the task size.

The widget isolates its data in a module (good separation) and does not duplicate values elsewhere, but it completely disregards the required four‑city dataset. The provided js/data.js defines Kyiv, Oslo, Tokyo, and Reykjavik with unrelated fields, violating the honesty of sourcing requirement. Because the source of truth is not the task‑specified dataset, the overall data score is heavily penalized.

The test suite contains concrete assertions for many internal functions (e.g., formatTemp, themeFor, getCityWeather, forecastRange, validateEntry) and checks for error handling and data validity. However, it does not exercise the primary widget scenarios described in the task (city query handling, Fahrenheit conversion, unknown‑city UI response). The coverage is limited to unit‑style checks and lacks integration or end‑to‑end tests that verify the assembled web page behavior, which caps the score per the rubric.