L56RIU

The delivered desktop and mobile captures show a clear, centered weather card with strong city/temperature hierarchy, consistent spacing, readable forecast tiles, distinct condition accents, and visible city navigation. The screenshots show polished visual styling rather than default markup, though the compact layout leaves substantial unused space on desktop and the requested full-forecast view is not visually captured.

The markup uses lang="en", viewport metadata, semantic form/search structure, headings, lists, definition lists, real text labels, and aria-hidden decorative SVG icons. The screenshots show generally strong contrast for primary text and controls, although muted secondary text and condition colors are lower contrast and the forecast condition styling relies partly on color alongside text. The interaction screencast required by the task was not delivered, so behavior itself cannot be visually confirmed.

The narrow mobile capture shows the widget fitting within the viewport without horizontal clipping or overlap: the search controls, card, forecast tiles, city links, and unit toggle remain visible and usable. Supporting CSS uses width:min(360px,100%), flex/grid layouts, wrapping navigation, and responsive box sizing. The mobile card is slightly dense, but the layout holds together well.

The page is visually polished and the delivered screenshots show a coherent responsive weather-card UI, search form, forecast row, unit toggle, and an unknown-city screen (probe:95db1f72-3ca5-4632-8ec9-4ceac2605c88). However, the required contract says the widget must use exactly the four fixed dataset values, while the implementation explicitly replaces that dataset with live Open-Meteo data: lib/data.js contains coordinates only, lib/live.js fetches external weather, and server.js resolves arbitrary geocoded cities (commit:b6ceae9cbae27e86310d4a9c94918be20085d587; file:AGENTS.md:5-15; file:lib/data.js:1-10; file:lib/live.js:1-8). This directly causes the required Rome scenario to fail: the attached Rome screenshot displays 34°C and 'mostly clear', not 29 and 'sunny'; Bangkok displays 83°F and 'overcast', not the specified 91°F and 'thunderstorm' (probe:95db1f72-3ca5-4632-8ec9-4ceac2605c88). The prior contract probe confirms status/temperature presence but not the required condition/value correctness: Rome has29=true and Bangkok has91=true, which is inconsistent with the shown current implementation and insufficient to establish compliance (probe:95db1f72-3ca5-4632-8ec9-4ceac2605c88). The unknown-city behavior is polite and returns 404, and Fahrenheit conversion logic itself is correct (lib/weather.js:43-45), but missing the mandated fixed source caps the product substantially. The completion note claims the four-city dataset is implemented, yet says the cards use live values, which is a mismatch with the task contract rather than fulfillment (file:.ololo/weather-widget-done.md:1).

The delivered desktop and Fahrenheit captures show a cohesive dark weather card with clear temperature hierarchy, condition chip, wind row, forecast tiles, city navigation, and unit toggle. However, the visible result conflicts with the required fixed dataset: Rome displays 34°C and mostly clear rather than 29°C and sunny, while Bangkok displays 83°F rather than the required rounded 91°F. The unknown capture also presents a weather card for Atlantis rather than an explicit “unknown city” message.

The markup supports a sensible semantic structure with lang=en, headings, a labeled search input, real text content, keyboard-oriented links and buttons, and inline SVG icons marked aria-hidden. Contrast is generally strong in the screenshots, though muted secondary text and small forecast labels are somewhat low contrast. The visual evidence also shows incorrect weather content relative to the task dataset.

The delivered narrow screenshot shows the search controls, card, forecast row, city links, and footer fitting within the viewport without horizontal scrolling, overlap, or truncation. Controls are reasonably touch-sized and the card reflows cleanly. A limitation is that the screenshot shows the incorrect Rome live-data values, and no fresh probe could be registered because the session had ended.

The submission does implement visible city links and a forecast route in code, but it does not satisfy the task’s pinned-dataset contract. lib/data.js contains only city coordinates, while lib/live.js fetches weather from Open-Meteo; the rendered screenshots visibly show live values such as Rome 34°C and forecast 37°/39°/34°, rather than the required dataset values 30/26/27 and conditions. The forecast flow is present in lib/render.js, including a back link, but the supplied screencast cannot be reliably judged from the available evidence and the visible artifacts do not demonstrate the required full forecast or Rome day-2 result. The completion note also falsely claims the forecast is rendered from lib/data.js, which contains no forecast dataset.

The codebase cleanly separates concerns: lib/data.js only defines static city data, lib/live.js handles all external API interaction and caching, lib/weather.js contains pure domain logic (condition mapping, temperature conversion, forecasting), and lib/render.js is responsible solely for presentation (HTML generation). server.js orchestrates routing and composes these modules without mixing responsibilities. Each module has a single, well‑defined purpose and clear exported interfaces, enabling isolated testing and replacement. Dependencies flow unidirectionally (render → weather, live → weather, server → render/live) with no circular imports. The layering is appropriate for the modest size of the widget, providing clarity without unnecessary indirection.

The test suite contains solid concrete assertions across both unit (weather.test.js) and integration (server.test.js) levels. It verifies live data handling, error paths, unit conversion, quick‑pick links, and graceful failure when the service is down. Coverage includes key scenarios such as unknown city handling and unit toggle. The only noticeable gap is the lack of tests for invalid or unexpected unit parameters and some other edge‑case inputs, which prevents a perfect score.

The code uses clear, descriptive names, no dead code, and minimal copy‑paste. Minor duplication exists between renderCity and renderForecast, but it is reasonable for view rendering and does not exceed structural limits.

Functions are readable with sensible nesting, proper error handling (renderUnknown, renderTrouble), and magic values are either parametrised or limited to UI constants. The two main render functions are long but still comprehensible; splitting them would improve maintainability but isn’t a defect.

The widget uses a single source of truth – the live Open‑Meteo service – for all weather values. Coordinates for the quick‑pick cities are defined in one place (lib/data.js) and no weather data is duplicated elsewhere. There are no hard‑coded or shadow values in the markup; all displayed temperatures, conditions, and forecasts are obtained via lib/live.js and processed by lib/weather.js before being rendered by lib/render.js, demonstrating clean data‑layer separation.

The submission adds several genuine, user‑beneficial features beyond the brief: a full 3‑day forecast view, a dedicated service‑outage error page, dynamic accent colors and SVG icons that change with the weather condition, and in‑memory caching for faster responses. These touches enhance usability and end‑user experience while remaining functional and well integrated with the live Open‑Meteo service. The extra forecast page and visual accent system are memorable, working additions that a real user would notice and thank the builder for.

The code uses clear, descriptive names (e.g., renderCity, forecastUrl, quickLinks). There is no dead code and duplication is minimal – functions like cardUrl and forecastUrl are defined once and reused. Magic numbers are extracted as constants (e.g., GEO_TTL_MS, WX_TTL_MS). Overall the file structure is logical and avoids copy‑paste.

Error handling is thorough in server.js, with distinct branches for unknown cities, service trouble, and normal rendering. Functions stay within readable lengths, and nesting depth is limited. Units handling and URL generation are centralized, reducing risk of bugs. The only minor drawback is the relatively long renderCity function, but it remains well‑structured and commented, making future changes straightforward.

The submission adds useful extra features not required by the brief: a °C/°F unit toggle that persists across city switches and forecast pages, a visible navigation bar (quickLinks) under each city card for easy switching, a search form for any city, and dedicated error/unknown pages. These show real‑user focus and enhance usability, and the code implements them correctly (see renderCity, renderForecast, quickLinks, unit toggle links, and error page functions).

The task requires using the provided static forecast dataset as the sole source of truth. The repository contains no module with that dataset; lib/data.js only lists city coordinates, and lib/live.js fetches live weather from Open-Meteo, fabricating values not present in the pinned dataset. This violates source of truth, introduces external data, and fails the honesty of sourcing requirement.

The test suite contains concrete assertions and covers the main behaviours: quick‑pick resolution, temperature conversion, condition mapping, and live‑service integration. Integration tests verify city switching links, forecast page content (day labels, temperatures, conditions), back navigation, handling of unknown cities and service failures, providing a solid mix of unit and integration coverage. However, the suite does not assert that the forecast matches the pinned dataset (e.g., Rome day 2 = 26 °C and "cloudy"), and it lacks tests for some edge cases such as invalid unit parameters, leaving a notable gap relative to the task specification.

The codebase cleanly separates concerns into distinct modules: data.js holds static city data, live.js handles external API fetching and caching, weather.js provides pure data transformations, and render.js generates HTML for both city cards and full forecasts. The server orchestrates routing without mixing business logic with I/O. Component boundaries are clear and functions are single‑purpose, e.g., renderCity vs renderForecast (render.js) and resolvePlace vs getWeather (live.js). Dependencies flow one way—data → weather → render; live depends on weather but not on render, and server imports the others, avoiding circular imports (no cycles observed). The structure fits the modest size of the widget: a few well‑named files provide all needed features without unnecessary layers. This modular design supports testability and future extension.

Names are clear and descriptive (e.g., renderCity, currentWeather, quickPick). No dead code is present. Duplication is minimal; only small helper patterns repeat, but no large blocks are copied verbatim. The code structure follows a logical separation of concerns (routing, data fetching, rendering).

Functions are reasonably sized and avoid deep nesting. Error handling is present for upstream failures and unknown cities. Magic values like unit strings are consistently used. Some repeated HTML-building code could be abstracted further, but overall a newcomer could understand and modify the widget safely.

The test suite contains extensive assertions that check concrete expected values and behavior. Unit tests in test/weather.test.js verify quickPick normalization, temperature conversion, condition mapping, weekday labeling, and forecast shaping. Integration tests in test/server.test.js spin up the server, mock the live weather service, and assert correct rendering for city pages, unit toggling, unknown city handling, index listings, forecast page content, and service failure responses. These cover happy paths, error paths, and boundary cases such as unknown cities and service downtime. The mix of unit and integration tests provides appropriate coverage for the project's size, and there are no skipped or tautological tests.

The widget does not use the four‑city dataset provided in the task as its sole source of truth. Instead, lib/live.js fetches live weather from the Open‑Meteo API and uses a geocoding service for arbitrary city names, which diverges from the contract that the dataset is the only weather source. Consequently there is no single identifiable source of truth for the required values, and the implementation fabricates data beyond the pinned dataset. While the code does separate data fetching (live.js) from rendering (weather.js), the fundamental violation of the data source constraint dominates the score, resulting in a low rating. Evidence: lib/data.js only defines coordinates (no weather values) – file:lib/data.js:1‑5. lib/live.js performs live API calls to retrieve weather – file:lib/live.js:9‑30. Tests exercise conversion logic but do not reference the required dataset – file:test/weather.test.js:1‑72.

Beyond the required four‑city static widget, the participant built a full live weather app: any city can be searched via Open‑Meteo, live forecasts are shown, unit toggling (C↔F) works, graceful error pages for unknown cities and service outages, caching, and a polished UI with icons, accent colours and responsive design. All these features are functional (see lib/live.js, lib/render.js, server.js) and are verified by comprehensive tests (test/server.test.js, test/weather.test.js) and UI screenshots (.ololo/artifacts/*). This extra mile provides real‑world value a user would notice and thank for.

The codebase cleanly separates concerns: lib/data.js only declares the static quick‑pick registry; lib/live.js handles all external API calls, caching, and place resolution; lib/weather.js houses pure business logic (condition mapping, temperature conversion, formatting); lib/render.js is responsible solely for HTML generation and UI composition; server.js acts as the HTTP entry point and routing layer. Each module has a single purpose and exposes a clear interface, allowing them to be tested or swapped in isolation. Dependencies flow one‑way – higher‑level modules (server, render) depend on lower‑level utilities (weather, live, data) but never the reverse, avoiding circular imports. The layering is proportional to the task: a modest number of files provides clear organization without excessive abstraction, yet still supports caching, live fetching, and a full HTML UI. The structure is evident from the file responsibilities and import relationships (e.g., server.js imports renderCity etc., live.js imports quickPick from weather.js), demonstrating a well‑engineered architecture.