Two issues blocked the security-fix deploy:
1. Starlette's MutableHeaders has no .pop() — del-via-membership is the
correct mapping op. The previous code crashed every request with
AttributeError, taking the container's healthcheck down with it.
2. Coolify's in-container healthcheck falls back to wget which wasn't
installed in our slim base. Add wget alongside curl.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
UI:
- Center-align all numeric table columns (deals + appraisals) for better
visual balance — text-start was crowding numbers against the right edge.
Backend (search_appraisals):
- Add include_nearby + nearby_block_radius flags. When set, fetches three
buckets in one request:
1. exact match (block + plot, original behavior)
2. same block, other plots
3. nearby blocks (block ± radius, default ±2)
- Composite-key dedupe across buckets (gov.il has no stable decision id).
Frontend:
- AppraisalsTable now renders the three buckets as stacked sections with
Hebrew headers ("החלטות תואמות" / "באותו גוש" / "בגושים סמוכים").
- Tab counter sums all three buckets.
Auto-enables include_nearby whenever a block is in scope (address mode
via gush_helka lookup, or block_plot mode directly).
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Previous approach: pick most common streetNameHeb among street-source deals.
Problem: a busier nearby street wins even when the searched parcel is on a
quieter street (e.g. רב צעיר beats הילדסהיימר despite being a different street).
Fix: backend now returns resolved_address from Govmap autocomplete (e.g.
"הילדסהיימר 14, ירושלים"). Frontend parses the leading non-numeric tokens
as the street name and uses that as ground truth for proximity labeling.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Adds a self-contained web interface that wraps the MCP tools so end users
don't need to issue MCP commands. Single Docker container serves:
/ → React SPA (RTL Hebrew, Heebo font, shadcn/ui components)
/api/* → FastAPI REST endpoints used by the SPA
/api/docs → OpenAPI / Swagger
/mcp → existing FastMCP streamable-http endpoint
/health → liveness probe
REST endpoints (in nadlan_mcp/web_app.py):
GET /api/search/address?q=... — autocomplete + best-effort gush/חלקה
via Govmap PARCEL_ALL layer
POST /api/search/deals — Govmap deals around an address
POST /api/search/appraisals — Decisive-appraiser search (gov.il)
GET /api/appraisals/pdf?url=.. — Stream PDFs through this server,
carrying the upstream x-client-id
header (a normal browser fetch fails)
UI flow:
- Address search → resolves gush/חלקה → shows BOTH deals (Govmap) AND
appraiser decisions (gov.il) for the same parcel side-by-side in tabs.
- Block+plot search → goes straight to appraisals.
- Appraiser-name search → all decisions by that appraiser.
Stack chosen for RTL-first usability and longevity: React 19, Vite 6,
TypeScript, Tailwind, shadcn/ui (Radix primitives), TanStack Query,
Lucide icons. ~295KB gzipped JS, no SSR overhead.
Multi-stage Dockerfile: Node 22 builds web/ in stage 1, Python 3.13
runtime serves the dist + the FastAPI app in stage 2.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
chaim