Completes milestone 3: frames render over the map, play as a loop, and can be scrubbed, with the legend drawn from the manifest rather than a constant that could drift from what the worker actually rendered. The overlay alternates two MapLibre image sources. Updating one source in place flickers, because the layer briefly shows a half-written texture; adding every frame as its own layer avoids that but pins them all in GPU memory, and twenty 512x512 RGBA frames is about 80 MB. Two buffers cost the same whether the timeline holds six frames or sixty. Platform-channel work is serialised because `show` is called faster than the round trip completes during playback, and overlapping updates would swap visibility out of order and strobe. Prefetching loads a window around the playhead, nearest first and forward before backward, since playback moves forward and that frame is needed soonest. `FrameCache` is byte-budgeted rather than entry-counted because frame size tracks how much precipitation is on screen, and it evicts by distance from the playhead: plain LRU would keep frames the prefetcher touched a moment ago even after the playhead moved to the far end of the timeline. Also adds DpcRadarSource, which reads published frames from our CDN and never from the DPC API. Without it, the `dpc` adapter would have had to fall back to mock, putting demo frames on screen under the label of live data — exactly the confusion the adapter split exists to prevent. It now fails naming the missing setting instead. Running it on the emulator caught three things the tests had not: - The notifier wrote to `state` from inside `build()`, which Riverpod rejects as an uninitialised provider. That broke startup, not just tests. - Eight-month-old demo frames rendered as "Aggiornato 342535 minuti fa". The age formatter now steps up to hours and days. - Demo mode sat permanently behind a stale-data warning and so never showed the working state it exists to demonstrate. MockRadarSource now shifts the bundled timestamps onto the present, leaving images, order and spacing untouched, so the timeline behaves exactly as it would on live data. Corrects docs/stack-decisions.md, which described a disk cache that was not built: mock frames already live in the asset bundle, so a disk layer belongs with the network adapter where it would save a real request. Verified: analyze clean, 129 tests passing, and on the emulator the loop advances, wraps, and reports "Aggiornato ora". Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
124 lines
5.6 KiB
Markdown
124 lines
5.6 KiB
Markdown
# Stack decisions
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Each entry records what was chosen, what it was chosen over, and why. Revisit an entry
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only with a reason that invalidates its rationale.
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## Flutter, single codebase
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Android ships first, iOS follows on the same code. Platform-specific work stays behind
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interfaces (`core/platform/`) so the iOS port is additive rather than a rewrite.
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Toolchain pinned during setup: **Flutter 3.47.3 stable / Dart 3.13.3**,
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compileSdk/targetSdk **36**, minSdk **21** (the floor imposed by `maplibre_gl`),
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JDK **21**.
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## State management — Riverpod without code generation
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`flutter_riverpod` with hand-written `Notifier` / `AsyncNotifier` classes.
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Chosen over: Bloc (more ceremony than this app's state needs), plain `setState`
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(the radar timeline, the frame cache and the consent flow all share state across
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screens), Riverpod *with* `riverpod_generator`.
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Dropping code generation keeps `build_runner` out of CI and out of every edit-run
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cycle. The generator's benefit — less boilerplate on providers — is small at this
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size, and its cost is paid on every build. Reconsider if provider count passes ~40.
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## Networking — Dio
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`dio` with interceptors for: the mandatory MET Norway User-Agent, retry with
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exponential backoff, and timeouts.
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Chosen over `http`, which has no interceptor model — the User-Agent obligation is a
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licensing requirement, so it belongs in one enforced place rather than at each call
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site where it can be forgotten.
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The DPC `origin` header lives **only in the Python worker**. The app never talks to
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DPC directly.
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## Models — hand-written `fromJson`
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Chosen over `freezed` + `json_serializable`. The model set is small (radar manifest and
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frames, forecast series, CAP alerts, region config) and the parsers are covered by
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tests against real fixtures. Same rationale as Riverpod: no `build_runner`.
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The tests, not the generator, are what guarantee the parsing is right — fixtures
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captured from the real endpoints catch schema drift that codegen would not.
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## Map — MapLibre GL
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`maplibre_gl` 0.27.0 (Flutter 3.29+, Android API 21+, iOS 13+).
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Chosen over `flutter_map`, which renders tiles in Dart. Radar animation redraws a
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full-viewport image several times a second; a GPU-composited native renderer holds
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frame rate where a Dart canvas does not.
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The base map style URL comes from `MAP_STYLE_URL`. With no key configured the app
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loads a minimal local style — flat background plus the Piedmont boundary from a
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bundled GeoJSON — so development, tests and the demo mode all work offline.
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## Radar frame rendering — image source, double buffered
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The worker publishes each frame already cropped to the region bounding box and
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reprojected to EPSG:3857, so the four corners of a MapLibre `LatLngQuad` are exact and
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no client-side warping is needed.
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Animation uses **two image sources, A and B**: while one is visible the next frame is
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decoded into the other, then visibility swaps.
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Chosen over: adding all ~20 frames as layers with opacity 0 (constant GPU memory
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matters more than the saved swap — 20 frames at 1024×1024 RGBA is ~80 MB resident),
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and over updating a single source in place (visible flicker during decode).
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## Frame cache — custom in-memory LRU
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`FrameCache`: an in-memory LRU of PNG bytes with a byte budget, plus `retainOnly` so
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the timeline can drop everything outside the window around the playhead.
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The budget is in bytes rather than entries because frame size tracks how much
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precipitation is on screen — a clear sky compresses to almost nothing, a storm does
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not — so an entry count would let a stormy loop use several times the memory of a calm
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one.
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Chosen over `flutter_cache_manager`, which does not expose the eviction control the
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scrubber needs. Plain LRU keeps frames the prefetcher touched a moment ago even after
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the playhead has moved to the far end of the timeline, so eviction is driven by
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distance from the playhead, not by access time.
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**Deliberately not persistent.** Mock frames already live in the asset bundle, and
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network frames are re-fetched from the CDN. A disk layer belongs with the network
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adapter, where it would actually save a request, and is worth adding once real CDN
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frames are flowing.
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## Region configuration
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Everything region-specific lives in `app/assets/regions/<id>.json`: bounding box, map
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centre and zoom limits, alert zones, active data sources, attribution strings. Adding
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a region is a new JSON file plus its assets — no Dart changes.
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Piedmont bounding box, padded: `[6.55, 43.95, 9.30, 46.55]` (W, S, E, N).
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To be refined against the ISTAT geometry once that dataset is confirmed.
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## Backend — Python worker on a VPS
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GDAL and HDF5 cannot run on Supabase Edge Functions (Deno), so the worker runs as a
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scheduled process on a VPS or Cloud Run.
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`rasterio` 1.5.1 publishes Windows wheels for Python 3.14, so the worker also runs
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natively on the development machine — no Docker or WSL needed to iterate.
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Trigger: the DPC WebSocket push channel `wss://radar-wss.protezionecivile.it`, with a
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5-minute cron as fallback. Polling DPC on a timer is the fallback, never the norm.
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Output goes through a `Publisher` interface: `LocalPublisher` writes to `backend/out/`
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for development, `S3Publisher` targets R2 or Supabase Storage once credentials exist.
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## Rain notifications — client-side topic subscription
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The worker computes rain per **geographic cell** and publishes per-cell state. The app
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subscribes to FCM topics named after cells, **from the device**.
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The server therefore never learns any user's position — not precisely, not even by
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cell. There is no user table to leak, and Data safety can honestly declare that no
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location is transmitted or stored.
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