5e9963f51b
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>
414 lines
17 KiB
Python
414 lines
17 KiB
Python
"""
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Web application: FastAPI REST endpoints + FastMCP mount + React static.
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Layout:
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/ → React SPA (index.html + assets)
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/api/... → FastAPI REST endpoints used by the React UI
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/api/docs → Swagger UI for the REST API
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/mcp → FastMCP streamable-http endpoint (for LLM clients)
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/health → liveness probe (also mounted under /api/health)
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"""
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from __future__ import annotations
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import logging
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from pathlib import Path
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from typing import Any
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from fastapi import FastAPI, HTTPException, Query
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from fastapi.middleware.cors import CORSMiddleware
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from fastapi.responses import StreamingResponse
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from fastapi.staticfiles import StaticFiles
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from pydantic import BaseModel, Field
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from starlette.responses import FileResponse, JSONResponse
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from nadlan_mcp.fastmcp_server import (
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client as govmap_client,
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)
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from nadlan_mcp.fastmcp_server import (
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decisive_appraiser_client,
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mcp,
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)
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from nadlan_mcp.govil.client import ALLOWED_PDF_HOSTS
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logger = logging.getLogger(__name__)
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# ──────────────────────────────────────────────────────────────────────
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# Request / response schemas
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# ──────────────────────────────────────────────────────────────────────
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class DealsSearchRequest(BaseModel):
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address: str = Field(..., min_length=2, max_length=200)
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years_back: int = Field(2, ge=1, le=10)
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radius_meters: int = Field(100, ge=10, le=2000)
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max_deals: int = Field(50, ge=1, le=200)
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deal_type: int = Field(2, ge=1, le=2)
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class AppraisalsSearchRequest(BaseModel):
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block: str | None = Field(None, max_length=20)
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plot: str | None = Field(None, max_length=20)
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decisive_appraiser: str | None = Field(None, max_length=100)
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committee: str | None = Field(None, max_length=100)
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decision_date_from: str | None = Field(None, max_length=20)
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decision_date_to: str | None = Field(None, max_length=20)
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publicity_date_from: str | None = Field(None, max_length=20)
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publicity_date_to: str | None = Field(None, max_length=20)
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search_text: str | None = Field(None, max_length=200)
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appraisal_header: str | None = Field(None, max_length=200)
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max_results: int = Field(30, ge=1, le=100)
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# ──────────────────────────────────────────────────────────────────────
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# App factory
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# ──────────────────────────────────────────────────────────────────────
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def create_app() -> FastAPI:
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"""
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Build the combined FastAPI + FastMCP application.
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The static-file mount at "/" must be the LAST mount so that more
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specific paths (/api, /mcp, /health) take precedence.
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"""
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# FastMCP needs its lifespan to run, so we forward it to FastAPI.
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if hasattr(mcp, "streamable_http_app"):
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mcp_app = mcp.streamable_http_app()
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elif hasattr(mcp, "http_app"):
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mcp_app = mcp.http_app()
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else:
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raise RuntimeError("FastMCP version does not expose an HTTP app")
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app = FastAPI(
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title="Nadlan-MCP Web",
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description=(
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"REST API for Israeli real-estate (Govmap) and decisive-appraiser "
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"(Ministry of Justice) data. Powers the React UI; also exposes the "
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"raw FastMCP endpoint at /mcp for LLM clients."
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),
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version="2.1.0",
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docs_url="/api/docs",
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redoc_url=None,
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openapi_url="/api/openapi.json",
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lifespan=mcp_app.router.lifespan_context,
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)
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# CORS — only relevant during local dev when Vite serves on :5173.
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app.add_middleware(
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CORSMiddleware,
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allow_origins=["http://localhost:5173", "http://127.0.0.1:5173"],
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allow_methods=["GET", "POST", "OPTIONS"],
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allow_headers=["*"],
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)
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# ── Health ────────────────────────────────────────────────────────
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@app.get("/api/health")
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@app.get("/health")
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async def health() -> dict[str, str]:
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return {"status": "ok", "service": "nadlan-mcp"}
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# ── /api/search/address ───────────────────────────────────────────
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@app.get("/api/search/address")
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async def search_address(q: str = Query(..., min_length=2, max_length=120)):
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"""Autocomplete an Israeli address. Also returns coordinates and (when
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available) the gush/חלקה for the top match."""
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try:
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response = govmap_client.autocomplete_address(q)
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except Exception as e:
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logger.exception("autocomplete_address failed")
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raise HTTPException(status_code=502, detail=str(e))
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results = []
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for r in response.results:
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item: dict[str, Any] = {
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"text": r.text,
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"type": r.type,
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"score": r.score,
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"id": r.id,
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}
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if r.coordinates:
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item["coordinates"] = {
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"longitude": r.coordinates.longitude,
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"latitude": r.coordinates.latitude,
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}
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results.append(item)
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# Best-effort gush/חלקה for the top result. Use PARCEL_ALL layer
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# explicitly — the default layer 16 in get_gush_helka is `nadlan`
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# (deals) which has null gush/parcel for many addresses.
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gush_helka = None
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if response.results and response.results[0].coordinates:
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try:
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coords = response.results[0].coordinates
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gh = _query_parcel_layer(govmap_client, coords.longitude, coords.latitude)
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gush_helka = _extract_gush_helka(gh)
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except Exception as e:
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logger.warning(f"parcel lookup failed for '{q}': {e}")
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return {"query": q, "results": results, "gush_helka": gush_helka}
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# ── /api/search/deals ─────────────────────────────────────────────
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@app.post("/api/search/deals")
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async def search_deals(req: DealsSearchRequest):
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"""Find recent real-estate deals around an address (Govmap)."""
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try:
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deals = govmap_client.find_recent_deals_for_address(
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req.address,
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req.years_back,
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req.radius_meters,
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req.max_deals,
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req.deal_type,
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)
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except Exception as e:
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logger.exception("find_recent_deals_for_address failed")
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raise HTTPException(status_code=502, detail=str(e))
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# Search-center coords for the map (best-effort).
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search_coords = None
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try:
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ar = govmap_client.autocomplete_address(req.address)
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if ar.results and ar.results[0].coordinates:
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c = ar.results[0].coordinates
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search_coords = {"longitude": c.longitude, "latitude": c.latitude}
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except Exception:
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pass
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# Strip bloat to keep payload small for the UI.
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bloat = {
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"shape",
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"sourceorder",
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"objectid",
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"priority",
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"source_polygon_id",
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"settlementId",
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"streetCode",
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"dealId",
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"polygonId",
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}
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deal_dicts = []
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for idx, deal in enumerate(deals, start=1):
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d = deal.model_dump(mode="json", exclude_none=True)
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d = {k: v for k, v in d.items() if k not in bloat}
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d["id"] = idx
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d["deal_source"] = getattr(deal, "deal_source", None)
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deal_dicts.append(d)
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return {
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"search": {
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"address": req.address,
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"coordinates": search_coords,
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"years_back": req.years_back,
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"radius_meters": req.radius_meters,
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"deal_type": req.deal_type,
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},
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"total": len(deal_dicts),
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"deals": deal_dicts,
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}
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# ── /api/search/appraisals ────────────────────────────────────────
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@app.post("/api/search/appraisals")
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async def search_appraisals(req: AppraisalsSearchRequest):
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"""Search decisive-appraiser decisions (gov.il / Ministry of Justice)."""
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try:
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response = decisive_appraiser_client.search_decisions_paged(
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max_results=req.max_results,
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block=req.block,
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plot=req.plot,
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decisive_appraiser=req.decisive_appraiser,
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committee=req.committee,
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decision_date_from=req.decision_date_from,
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decision_date_to=req.decision_date_to,
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publicity_date_from=req.publicity_date_from,
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publicity_date_to=req.publicity_date_to,
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search_text=req.search_text,
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appraisal_header=req.appraisal_header,
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)
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except Exception as e:
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logger.exception("search_decisions_paged failed")
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raise HTTPException(status_code=502, detail=str(e))
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decisions = []
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for idx, decision in enumerate(response.results, start=1):
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d = decision.model_dump(mode="json", exclude_none=True)
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documents = d.pop("documents", []) or []
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d["id"] = idx
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d["pdf_url"] = documents[0]["file_url"] if documents else None
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d["all_documents"] = documents
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decisions.append(d)
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return {
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"total_in_db": response.total_results,
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"returned": len(decisions),
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"filters": req.model_dump(exclude_none=True),
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"decisions": decisions,
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}
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# ── /api/appraisals/pdf ───────────────────────────────────────────
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@app.get("/api/appraisals/pdf")
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async def proxy_appraisal_pdf(url: str = Query(..., min_length=20)):
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"""
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Stream a decisive-appraiser PDF through this server.
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Required because the upstream PDF host demands the same x-client-id
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header as the search API; a normal browser fetch would fail.
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"""
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from urllib.parse import urlparse
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parsed = urlparse(url)
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if parsed.scheme != "https" or parsed.hostname not in ALLOWED_PDF_HOSTS:
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raise HTTPException(status_code=400, detail="URL host not allowed")
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try:
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# Reuse the curl_cffi session that already carries x-client-id.
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response = decisive_appraiser_client._session.get(
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url,
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timeout=(
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decisive_appraiser_client.config.connect_timeout,
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decisive_appraiser_client.config.read_timeout * 4,
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),
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headers={"Accept": "application/pdf,*/*"},
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)
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except Exception as e:
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logger.exception("PDF proxy upstream call failed")
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raise HTTPException(status_code=502, detail=str(e))
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if response.status_code != 200:
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raise HTTPException(
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status_code=response.status_code,
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detail=f"Upstream returned {response.status_code}",
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)
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if not response.content.startswith(b"%PDF"):
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raise HTTPException(status_code=502, detail="Upstream did not return a PDF")
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# Suggest a reasonable filename for the browser.
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filename = parsed.path.rstrip("/").split("/")[-1] or "appraisal"
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if not filename.lower().endswith(".pdf"):
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filename = f"{filename}.pdf"
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def _iter() -> Any:
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yield response.content
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return StreamingResponse(
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_iter(),
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media_type="application/pdf",
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headers={
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"Content-Disposition": f'inline; filename="{filename}"',
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"Cache-Control": "private, max-age=3600",
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},
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)
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# ── /mcp/ → FastMCP ───────────────────────────────────────────────
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app.mount("/mcp", mcp_app)
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# ── / → React static (must be LAST) ───────────────────────────────
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web_dist = Path(__file__).resolve().parent.parent / "web" / "dist"
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if web_dist.is_dir():
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app.mount(
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"/assets",
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StaticFiles(directory=web_dist / "assets"),
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name="assets",
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)
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@app.get("/{full_path:path}", include_in_schema=False)
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async def spa_fallback(full_path: str):
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# Unknown paths fall back to index.html so React Router can take over.
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index = web_dist / "index.html"
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if index.is_file():
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return FileResponse(index)
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return JSONResponse({"detail": "UI not built"}, status_code=404)
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else:
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logger.warning(
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f"Web build directory not found at {web_dist}; UI will not be served. "
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f"Run `cd web && pnpm build` to populate it."
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)
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@app.get("/", include_in_schema=False)
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async def no_ui():
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return JSONResponse(
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{
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"service": "nadlan-mcp",
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"ui": "not built",
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"api_docs": "/api/docs",
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"mcp": "/mcp",
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}
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)
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return app
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# ──────────────────────────────────────────────────────────────────────
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# Helpers
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# ──────────────────────────────────────────────────────────────────────
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def _query_parcel_layer(client: Any, longitude: float, latitude: float) -> dict[str, Any]:
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"""
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Query Govmap's PARCEL_ALL layer at a point. Returns the raw JSON.
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The default `client.get_gush_helka` queries layer 16 (`nadlan`), which has
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null gush/parcel for many address points. PARCEL_ALL is the cadastral layer
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that reliably exposes them.
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"""
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url = f"{client.base_url}/layers-catalog/entitiesByPoint"
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payload = {
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"point": [longitude, latitude],
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"layers": [{"layerId": "PARCEL_ALL"}],
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"tolerance": 5,
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}
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timeout = (client.config.connect_timeout, client.config.read_timeout)
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response = client.session.post(url, json=payload, timeout=timeout)
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response.raise_for_status()
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return response.json()
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def _extract_gush_helka(govmap_response: Any) -> dict[str, Any] | None:
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"""
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Pull the (gush, helka) pair out of the layered Govmap response.
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Real shape (layerId 16 / nadlan layer):
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{"data": [{"name": "...", "entities": [
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{"fields": [{"fieldName": "גוש", "fieldValue": "6212"},
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{"fieldName": "חלקה", "fieldValue": "894"}, ...]}
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]}]}
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Values can be null when the layer has no data at that point — we skip
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those and keep looking through every entity in every layer.
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"""
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if not isinstance(govmap_response, dict):
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return None
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block: str | None = None
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plot: str | None = None
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for layer in govmap_response.get("data") or []:
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if not isinstance(layer, dict):
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continue
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for entity in layer.get("entities") or []:
|
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if not isinstance(entity, dict):
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continue
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for f in entity.get("fields") or []:
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name = (f.get("fieldName") or "").strip()
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value = f.get("fieldValue")
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if value is None:
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continue
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value = str(value).strip()
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if not value:
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continue
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if (
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name in ("גוש", "מספר גוש", "gush", "block", "GUSH_NUM", "gush_num")
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and not block
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):
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block = value
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elif (
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name in ("חלקה", "מספר חלקה", "helka", "parcel", "PARCEL", "PARCEL_NUM")
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and not plot
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):
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plot = value
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if block and plot:
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return {"block": block, "plot": plot}
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if block or plot:
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return {"block": block, "plot": plot}
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return None
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