4I2GFR

All four scenarios are implemented and the flagship flow is proven in motion: the delivered screencast shows a visitor typing 'Berlin' and the live card appearing (23°C, light rain, 25 kph wind) on the new UI with the 'live: Open-Meteo' footer — Berlin is in no built-in table, so the values are necessarily live, plausible, and human-readable. Code walkthrough confirms the rest: geocode+forecast fetched per request from Open-Meteo (app.py:21-37), quick picks routed through the identical live path with tables deleted entirely (commit 0bb10e56 diff), polite cannot-find page that keeps the form and picks (app.py:103-105), correct to_f conversion and toggle links (app.py:47-56), and a test.py that exercises the real service. Done note is honest and names the service. Deductions: the recording covers only the typed-search flow — the °C/°F toggle and unknown-city behaviors are not shown in motion, and the two Bangkok/Rome forecast frames are stale old-table-UI captures (matching the deleted FORECAST values, no search form/footer), which slightly dents confidence in what the recording captured even though it contradicts no live-flow claim.

Rewritten live suite, real and passing on the participant's machine (probe 515b2386: 'ok: live berlin, rome, units, unknown, forecast'). Concrete, non-tautological assertions for all four scenarios' cores: typed-city live card with human condition (test.py:16-18), quick-pick live °C (test.py:20), unknown-city politeness plus stays-usable (test.py:24-26), and a strong cross-request °C→°F consistency check with tolerance (test.py:21-23) that would catch a units regression. Honest — rewritten for live behavior, nothing skipped or hard-coded. Deductions: the quick-picks scenario is only 25% covered (Rome asserted, nyc/sao-paulo/bangkok never fetched, so the PINNED mapping app.py:5 is untested), no plausibility bound on live temperatures, empty-city landing untested, and nav links remain unasserted (carried over from Task #1).

A plain but thoughtful live conversion with several small working extras: the footer credits 'live: Open-Meteo' to the visitor on every page (app.py:44) when the note alone was required; a distinct 'weather unavailable — try again' state separates service outage from unknown city (app.py:78); the empty landing state prompts and the search input preserves/keeps the typed name editable on error pages (app.py:45,68); the forecast was upgraded to live data beyond the letter of the brief with the units toggle preserving the forecast view (app.py:41); a full 27-code WMO-to-human-English map (app.py:7) and self-tests asserting live invariants incl. C↔F consistency (test.py:21). No memorable creative addition, and no screencast of the live flow was committed — the attached stills show stale pre-live table values (Rome 29°C/sunny matches the old WEATHER dict), so nothing visual earns credit here.

Source of truth is now exactly one place: the live Open-Meteo service (geocoding-api.open-meteo.com + api.open-meteo.com). The brief's built-in WEATHER/FORECAST tables were removed entirely rather than kept as a competing copy, so there is zero shadow or mock data; the only local structures are PINNED (slug→display-name navigation config) and WMO (a translation of Open-Meteo's documented weather codes into human phrases — semantics, not weather values). Data acquisition and shaping are isolated behind clear functions (js(), geocode(), wx(), cond(), to_f()) with the HTTP handler and render functions consuming their results — a real improvement over the previous inline shaping, though still in the single app.py rather than a separate module. Honesty is solid: every displayed value (current temp, condition, wind, 3 forecast days) is read directly from the API response with no fabrication; unknown codes fall through the complete WMO map; the footer labels the source 'live: Open-Meteo' and the done note names the service. Tests hit the real API including a non-pinned city (Berlin) and cross-check C/F consistency. Minor deductions: wind remains kph under the °F toggle (honestly labeled but unit-inconsistent with the toggle), cond() defaults unknown codes to 'clear sky' (effectively unreachable given full WMO coverage, but a silent-fallback pattern), and the data layer is not extracted from the presentation file.

The live swap is compact and well-named: PINNED and WMO tables, and to_f/js/geocode/wx/cond each do one thing (app.py:6-39); the old hardcoded weather tables are fully deleted rather than kept as dead fallback data. Duplication is well under 10% — the only repeats are the small unit-ternaries already charged in task #1, not re-charged. New small nits in this delta: the geocode result carries a 'country' key that nothing consumes (app.py:24), the helper name 'js' is cryptic for 'fetch JSON' (app.py:16), the wx() URL f-string and the units-toggle line are new very-long single lines (app.py:31-33, app.py:47), and an internal-agent-style '# ponytail:' comment reappears (app.py:5) — same class as the one removed last round, so noted lightly rather than re-charged.

A newcomer can read this 85-line file top to bottom and every real failure boundary is guarded: geocode returns None on any error (app.py:20-28), wx is wrapped so a weather outage degrades to a polite 'weather unavailable' page (app.py:78-82), cond falls back safely (app.py:37-39), and the unknown-city path keeps the form and quick picks usable (app.py:75-77) — matching test.py's live assertions for Berlin/Rome/units/unknown/forecast (test.py:14-27). The refactor also eliminated the parallel WEATHER/FORECAST invariant risk I faulted in task #1, since card and forecast now draw from one live payload. Remaining dings: AGENTS.md still says the app 'serves from a 4-city dict' (AGENTS.md:3), which now misleads anyone reading it first; do_GET nesting reaches four levels in the worst branch (app.py:71-87); the 8s timeout is an unnamed magic default (app.py:16); and an unknown WMO code reports 'clear sky' (app.py:38-39), asserting weather the service never stated.

The live conversion improved the boundaries rather than degrading them. Separation of concerns is clean: service access lives in three dedicated functions (js/geocode/wx, app.py:13-27), domain mapping in the WMO table + cond/to_f (app.py:4-12), presentation in page/card/forecast (app.py:29-64), and routing/orchestration with distinct polite degradation paths (not-found vs weather-unavailable) in H.do_GET (app.py:67-90). The dependency-direction defect I flagged in the previous task is fixed: card/forecast now receive geocode and weather data as parameters (app.py:55,60) instead of reaching into module globals, and the built-in WEATHER/FORECAST tables were removed entirely rather than half-kept. Component boundaries stay small and single-purpose — to_f remains directly testable, and test.py grew in step with an end-to-end C/F consistency check and a stays-usable assertion for the unknown-city path (test.py:19-26). Proportionality is right: one ~85-line module with no needless layering fits a task of this size; splitting it now would be ceremony. What keeps this from 10: the units-suffix and °F/°C-string logic I previously asked to be hoisted is still duplicated across card and forecast (app.py:57-58 and 62-63) — carried over, not re-charged — plus minor nits (country is fetched in geocode but never rendered; html.escape(g['name']) repeated in both views). No probe needed; the files fully explain the structure.

The forecast views render in the same clean dark-card language as the task #0 widget: 'Rome Forecast' / 'Bangkok Forecast' as the obvious h1 headline, three clearly separated day rows with exact dataset values (day 2 = 26°C cloudy for Rome; 34/32/33 for Bangkok), and a distinct blue '← back to card' link plus the city nav below. Spacing and alignment are deliberate, not defaulted. Minor deduction: the day rows are same-weight ~1rem lines — temperatures aren't visually emphasized the way the card's 4rem value is, so the forecast reads slightly flatter than the card it serves.

Real text throughout (no baked-in images), strong contrast that survives squinting (white/near-white on #1e293b card, blue links clearly distinguishable), a single h1 per view and a

The narrow capture that was missing last time now exists (rome-forecast-mobile.png, probe 386f04c6): all text is legible, nothing overlaps or truncates mid-word, and the four nav links fit on one row without wrap. Concern: the card is off-center with its right edge cut at the frame edge — the same offset seen in the task #0 mobile capture, which suggests a capture/crop artifact rather than layout overflow (the 326px card would center fine at 375px), so I deduct lightly rather than scoring it as a broken narrow layout. Touch targets are small text links (14px) with no padding.

The widget fully implements all three scenarios: every page renders nav links to all four cities (app.py:22), each card carries a forecast link (app.py:29), and the forecast view lists all three days with day/temperature/condition plus a back link preserving city and units (app.py:31-35). The FORECAST dict (app.py:12-17) matches the pinned dataset exactly, and the delivered stills now show it live: Rome Forecast reads Day 2: 26°C cloudy (the contract's rome day-2 line), Bangkok Forecast reads 34 thunderstorm / 32 rain / 33 humid. The player's own live-server test exercises card→forecast→back over real HTTP (test.py:23-24). Earlier faults are fixed: the done note (.ololo/weather-widget-forecast-done.md) is present and accurate, and the leftover 'ponytail' comment is gone. The remaining gap is the contract's explicit verification requirement: switching and the forecast were to be verified from a screencast (video/webm) of the running widget; the requested probe (a0413c96) is still open with no video delivered, so the flows in motion are unproven in the mandated form — hence the deduction, despite code, tests, and stills all pointing to a working product.

The pinned forecast table is the single source: a FORECAST dict at app.py:10-15 matching the brief verbatim for all four cities, with the forecast view (app.py:39-42) rendering exclusively from it and the city nav generated from WEATHER (app.py:23) so no city list is redeclared. No shadow, mock, or fabricated data anywhere — HTML is fully generated, and test.py:18 pins the exact rome day-2 scenario (26, cloudy). Deduction only for unchanged layout: unit conversion and row shaping still live inside the HTML-rendering functions rather than a separate data module; the player did not act on my prior minor suggestion, but introduced the new dataset consistently in the established clean pattern.

The session-extended suite (test.py, per commit diff efe71bf) grew beyond the prior 3.5-rated baseline: it now launches the real server on port 8471 and asserts concrete behavior for every scenario this task adds — rome forecast reads '26', 'cloudy', 'Day 2' (the pinned dataset spot-check, test.py:20), and both navigation directions ('forecast' link on the card, 'back' link in the forecast — test.py:21). Assertions verify specific expected values, not just code-runs; no skips, no tautologies, and the prior flaws I faulted remain fixed (units now propagated through forecast links at app.py:40,52). But breadth is still thin: city switching is never tested — no request to a second city's URL or check for the 4-city nav — and day 1/3, other cities' forecasts, and F-units in the forecast view are untested. A deterministic run of python3 test.py would have confirmed the suite passes on the player's machine, but the probe call was rejected ('unknown register_probe mode None'), so no probe id exists and passing status rests on code reading plus the prior session's passing probe. The assembled product is exercised via HTTP, so the level mix is appropriate for this small task; the cap is breadth of scenarios, not depth.

Brief flows done correctly and plainly; the one genuine beyond-the-brief touch is that the visitor's unit preference persists into the forecast and back links (°F mode survives the round trip, proven in code and by the bangkok-f artifact), plus arrow-glyph wayfinding copy and an extended self-test asserting the rome day-2 scenario. My earlier fault — the forecast deliberately skipped 'until asked' — is fixed and covered by tests. No memorable creative addition: forecast rows are unstyled text, no per-condition visuals, no forecast-view capture delivered.

FORECAST pins the dataset verbatim with clear naming; no dead code; the stray internal agent comment I faulted in task #0 was removed in this commit. Only nits: the unit-string and '&units=f' query-suffix expressions are duplicated across card() and forecast() (two short lines x 2, far below any duplication threshold), and single-line HTML f-strings run very long. No analysis metrics were delivered; at 3KB total the duplication question is answerable by reading, and it is immaterial.

Flat, short functions (card/forecast ~5-6 lines) and an obvious if/elif/else router; a newcomer adds a city or a day in one line each, and tests were extended to pin the rome day-2 = 26 cloudy dataset scenario against a live server. Weaknesses: WEATHER and FORECAST are parallel dicts with unenforced key agreement — a city added to WEATHER without a FORECAST entry would raise an unhandled KeyError in forecast() (app.py:37) instead of failing politely, though the current guard at app.py:44 makes this drift-only; long single-line HTML makes small edits awkward. The CSS mega-line, HTTP-200-on-unknown-city, and sleep-based test wait were already charged in task #0 and are not charged again.

Growth preserved the clean shape: data (WEATHER app.py:5, FORECAST app.py:12), pure conversion (to_f app.py:19), per-view presentation (card app.py:26, forecast app.py:33) over a shared page shell (app.py:21), and I/O confined to the HTTP handler (app.py:40) with a flat routing branch; test.py:17-19 covers the new forecast flow end-to-end. Dependencies flow one way with no cycles, and the two-view size is proportionate — no needless layering. Held back from the top: card and forecast still read module globals directly instead of receiving the dataset as a parameter, so they cannot be tested or swapped in isolation (the coupling faulted in the prior verdict, unfixed); units-query-string building is duplicated across both views; and the 'unknown city' view content is composed inline inside do_GET (app.py:47) rather than in a view function.

Delivered desktop capture shows a polished, purposeful card: city as headline, huge temperature as the obvious primary value, condition accent, muted wind, neat city nav. Spacing, rounding, and shadow read as designed rather than defaulted. Fahrenheit/unknown states weren't visually delivered but share this template.

Real text throughout, no images needing alt, condition not color-encoded. Contrast passes AA everywhere visible (body ~13:1, condition ~8.6:1, wind ~6:1, links ~6.9:1). Semantic anchors exist (main, h1, nav), but the template omits and

No narrow-width capture was delivered, so the 375px view is unverified; only the 1280px shot arrived. CSS evidence is responsive-friendly: viewport meta width=device-width, fluid flexbox centering, no fixed pixel widths, so the card should hold without horizontal scroll. Nav lacks flex-wrap and link touch targets are small.

test.py is honest and multi-level: real unit assertions on to_f (to_f(33)==91 for the rounded F boundary, to_f(26)==79 for nyc) plus a live-server integration check that spawns app.py on PORT=8471 and asserts page content — 29/sunny for /?city=rome, 91 for /?city=bangkok&units=f, and 'unknown city' for /?city=atlantis — covering all three brief scenarios including the error path. Assertions check concrete values, not tautologies; no skipped or hard-coded tests; the registered probe (eca5c5f9) ran it and passed, confirming it is not a lie. Gaps keeping it below 9: no tests for edge cases — missing/empty city param, uppercase city input (code lowercases it, untested), units other than c/f, HTTP status/error rendering of the unknown-city page beyond substring match — and no coverage of the assembled UI beyond the three scenarios. Proportionate: a small stdlib app deserves exactly this small suite; unit + integration mix is right, no production pyramid.

All three contract scenarios verified by hand in code: rome renders 29 + sunny (card(), app.py), bangkok&units=f renders 91 via round(33*9/5+32)=91 with no half-degree cases in the dataset, unknown city yields a polite 'unknown city' page. Code is clean stdlib-only Python: one data dict as single source of truth, small helpers, no duplication, injection-safe. Presentation is coherent — dark card, large temperature, condition, wind row, city nav links, viewport meta. AGENTS.md documents stack and both run:/test: lines; done note present and accurate. Test suite covers all scenarios against a live server. Deductions: a stray internal comment in card() ('ponytail: no forecast row / icons...') is a leftover artifact that should not ship; extras are minimal (no icons, no forecast row — optional per brief, so only lightly penalized); missing city param also lands on 'unknown city' which is defensible but could have defaulted to a nicer landing.

A proportional single-file stdlib design whose concerns are distinguishable: data (WEATHER dict), pure logic (to_f), view builders (page/card), and transport (H.do_GET), with markup isolated from I/O. Deductions: card fuses dataset lookup, unit conversion, and HTML assembly into one function and reaches into the module-global WEATHER rather than taking data as a parameter (limiting isolated testing of the view), and do_GET inlines parsing, routing, and response serialization. No needless layering for a 4-city widget; structure is fully legible, so no probe needed.

The pinned four-city dataset lives in exactly one place — the WEATHER dict (app.py:6-11) — and matches the brief verbatim (nyc 26/humid/15, sao-paulo 19/cloudy/11, bangkok 33/thunderstorm/8, rome 29/sunny/12). No shadow data: the nav links are generated from WEATHER keys (app.py:13) rather than a redeclared city list, and the only numbers in test.py (29, 91, 79) are scenario expectations derived from the source, not a drifting copy. Sourcing is honest: all displayed values (temp, condition, wind, converted temp) come straight from WEATHER via card(); nothing is fetched or fabricated, and the author explicitly declined to invent forecast data (comment at app.py:21). Data access has a clear interface — to_f(c) is a pure conversion that test.py imports directly (test.py:2), and card(city, units) is the sole reader of WEATHER. Deduction: there is no separate data module; the dataset and its shaping sit inside app.py alongside the HTTP handler and inline HTML template, and card() fuses lookup/conversion with rendering — fine for a 42-line stdlib app but short of a fully isolated data layer.

One genuine unrequested touch set, working: cross-city nav links rendered on every page including the 'unknown city' error page (so a typo'd city shows the four valid options as clickable fixes), plus forgiving input (city/units lowercased). Wind/color/layout fill the brief's explicitly offered optional slots, not extras — no forecast row, icons, or units toggle; an in-code comment ('no forecast row / icons — plain card covers the 3 scenarios; add when asked') shows the extra mile was deliberately declined. Solid but modest: baseline-plus, not memorable.

Zero duplication, no dead code, all imports used; data/helpers/handler factored well and names mostly communicate (WEATHER, to_f, card). Deductions: a leaked agent-note comment ('# ponytail: ... add when asked') in card() is noise a newcomer can't interpret, and the stylesheet is one giant f-string line with doubled braces.

Short functions, shallow nesting, polite failure at the real boundary (unknown/missing city, odd units fall back to C), and test.py exercises all three scenarios against a live server with cleanup in finally. Deductions: brace-escaped inline CSS is the least editable part of the file; every response is HTTP 200 including 'unknown city'; test readiness is a fixed sleep(1) rather than a poll.