Two surfaces wired up so the user can "get a vibe of the market":
**Per-listing** — each PropertyCard now shows a small pill next to the
price when the listing's total_price moved >=1% over a 14-day lookback
(e.g. "↓ £200 (-4%) in 14d"). Drops render green, rises render red.
Computed from `price_history_json` by the daily aggregator and
denormalised onto the listing row so the streaming endpoint just
passes it through.
**Macro** — new always-visible inline strip above the chip strip
showing today's median total price, median £/m², and listing count
for the current filter's bedroom band, each with a 30-day % delta:
"Rent · 1-2 bed · 30d: Median £2,500 ↓ -4% · £/m² £50 ↓ -2% · Listings 4,200 ↑ +5%".
Both data sources are populated daily at 04:00 UTC by a new Celery
beat task that fires 1h after the 03:00 RENT scrape and feeds two
sinks: a per-listing update pass and an upsert to a new
`dailylistingaggregate` table keyed on
(snapshot_date, listing_type, min_bedrooms, max_bedrooms).
## Backend
- `models/listing.py`: Listing parent gains `price_14d_ago` + `price_
change_pct_14d` nullable floats (inherited by RentListing/BuyListing).
New `DailyListingAggregate` table model with unique constraint on
(date, type, min_bed, max_bed).
- Alembic `a8b9c0d1e2f3`: adds the two columns to both listing tables
and creates the aggregate table + date index.
- `services/market_aggregator.py` (new): `compute_trend_for_listing`,
`update_per_listing_trend` (batched, idempotent), `_stats` (median
+ mean filtered to positive finite values), `compute_aggregate_
snapshot` (dialect-aware MySQL / SQLite upsert), `fetch_trend_
series` (range query for the API).
- `tasks/market_tasks.py` (new): `compute_daily_market_aggregates_task`
Celery task wrapping both stages.
- `tasks/listing_tasks.py:setup_periodic_tasks`: registers the daily
task at 04:00 UTC alongside the existing scrape schedules.
- `celery_app.py`: includes the new tasks module.
- `api/app.py`: new `GET /api/market_trend?listing_type=&min_bedrooms=&
max_bedrooms=&days=` endpoint returning the daily series.
- `ui_exporter.py`: GeoJSON feature properties now carry
`price_14d_ago` and `price_change_pct_14d` so the frontend can
render the badge without an extra round-trip.
## Frontend
- `types/index.ts`: new `MarketTrendPoint`; `PropertyProperties` gains
the two optional trend fields.
- `components/PropertyCard.tsx`: derived `trendBadge` (>=1% threshold,
null-safe) rendered as a small pill on both card variants.
- `hooks/useMarketTrend.ts` (new): fetches the trend series, derives
current-vs-oldest deltas per metric (% change rounded to 1dp).
- `components/MarketTrendStrip.tsx` (new): compact inline strip with
three metric cells. Hidden when the aggregator hasn't produced any
rows yet (graceful start during the first week post-launch).
- `App.tsx`: renders the strip above the chip strip whenever the
active queryParameters are known.
## Tests
- pytest: 10 new (trend math edge cases including null history,
malformed JSON, only-recent entries, drops, rises, zero current
price; _stats empty / nonpositive filtering; upsert idempotency on
an in-memory SQLite seed). 34 decision + aggregator tests pass.
- vitest: 8 new (useMarketTrend fetch URL, two-point delta,
single-point null delta, empty series; PropertyCard trend badge
arrow direction + sign for drops/rises, noise threshold, null
guard). 229 tests pass total, tsc clean.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
Opening a listing's detail sheet for >3s now passively marks it `seen`
and snapshots its current `total_price`. Seen listings are hidden from
the main list by default but automatically resurface when the price
changes (any direction). Distinct from `disliked` — explicit
like/dislike always overrides the passive seen state.
New "Hidden (N)" toggle on the FilterBar appears whenever at least one
listing is currently being hidden by the seen filter. Toggling it
reveals those rows in-place (without unmarking them) so the user can
review or explicitly clear via the existing Like/Dislike/Clear flow.
## Backend
- Alembic f7a8b9c0d1e2: `ALTER TABLE listingdecision ADD COLUMN
price_at_decision FLOAT NULL`.
- `models/decision.py`: ListingDecision gains nullable
`price_at_decision: float | None`.
- `services/decision_service.py`: adds `seen` to VALID_DECISIONS;
set_decision accepts an optional `price_at_decision`; it's only
forwarded to the repo for decision='seen' (other types null-out the
column to keep semantics clean).
- `repositories/decision_repository.py`: upsert_decision now carries
price_at_decision through the MySQL + SQLite upsert paths.
- `api/decision_routes.py`: SetDecisionRequest + DecisionResponse
expose the new field.
## Frontend
- `types/index.ts`: DecisionType = 'liked' | 'disliked' | 'seen';
ListingDecision gains `price_at_decision?: number | null`.
- `services/decisionService.ts`: setDecision sends the price only for
decision='seen' (and only when it's a finite number).
- `hooks/useDecisions.ts`: rewritten to store `Map<key, DecisionEntry>`
(decision + price snapshot). New `markSeen(id, price, type)` short-
circuits on existing liked/disliked. New `getDecisionEntry`,
`seenCount`.
- `App.tsx`: 3s `setTimeout` dwell timer fires markSeen when the
detail sheet stays open. Filter logic in `processedListingData`
hides `seen` rows whose `total_price === price_at_decision`, with
`showHidden` bypass. Computes `hiddenCount` to drive the toggle.
- `components/FilterBar.tsx`: new conditional "Hidden (N)" / "Showing
hidden (N)" toggle button (Eye / EyeOff lucide icons), surfaces only
when hiddenCount > 0.
## Tests
- pytest: 2 new (test_set_seen_carries_price, test_liked_drops_price_
even_if_supplied) + 1 updated to assert the new 5-arg repo
signature. 24 passed.
- vitest: 6 new for useDecisions (markSeen liked/disliked skip, price
snapshot, re-mark, null price, seenCount) + 5 new for decisionService
payload shape. 221 total passed, tsc clean.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
- ListingDecision model with unique constraint on (user_id, listing_id, listing_type)
- Alembic migration for listingdecision table
- DecisionRepository with dialect-aware upsert (MySQL/SQLite)
- DecisionService with input validation
- Decision API routes: PUT/GET/DELETE on /api/decisions
- GET /api/listing/{id}/detail endpoint extracting full property info from additional_info
- Add listing ID to GeoJSON feature properties
- Decision filtering on GeoJSON stream endpoint (decision_filter param)
- Replace deprecated datetime.utcnow() with datetime.now(UTC) in model
and repository
- Add listing_type validation to decision_service (RENT/BUY only)
- Fix decision filtering tests failing due to rate limiting by patching
_match_endpoint
- Add SwipeCard component test suite (11 tests covering rendering,
interactions, and POI distances)
- Add test for invalid listing_type validation
Add ListingDecision SQLModel entity for tracking user like/dislike
decisions on properties, with unique constraint on (user_id, listing_id,
listing_type) and appropriate indexes.
- Fix task status IDOR by adding ownership check; suppress traceback/error in production
- Passkey routes: return generic error messages for internal exceptions, keep ValueError for user-facing
- JWT_SECRET and OIDC_CLIENT_ID: raise RuntimeError in production when using defaults
- Rate limiter: add in-memory fallback counter when Redis is unavailable
- Fix X-Forwarded-For IP spoofing with trusted_proxy_depth (rightmost-N selection)
- Add SecurityHeadersMiddleware (X-Content-Type-Options, X-Frame-Options, CSP, conditional HSTS)
- CORS: add PUT/DELETE methods for POI routes
- POI input validation: field length and coordinate range constraints
- QueryParameters: add min_sqm <= max_sqm validation
Simplify the filter UI to show only essential filters (type toggle, price/bedroom
range sliders, min size) by default, with advanced filters collapsed. Extract
visualization controls (color-by metric, POI travel mode) into a separate
VisualizationCard component. Wire up previously ignored backend filters: max_sqm,
min/max_price_per_sqm, and district_names now work end-to-end.
Introduces PointOfInterest (per-user named locations with lat/lng) and
POIDistance (travel time/distance per listing+POI+mode triple) SQLModel
entities, plus an Alembic migration to create both tables with indexes
and a composite unique constraint.
The crawler subdirectory was the only active project. Moving it to the
repo root simplifies paths and removes the unnecessary nesting. The
vqa/ and immoweb/ directories were legacy/unused and have been removed.
Updated .drone.yml, .gitignore, .claude/ docs, and skills to reflect
the new flat structure.
