_space/app.py

import os
import json
import tempfile

import gradio as ui
import geopandas as gpd
import pandas as pd
from huggingface_hub import hf_hub_download
from fastapi import FastAPI
from fastapi.responses import HTMLResponse

app = FastAPI()

DATA_REPO = 'elikoy/mapviewer-data'
HF_TOKEN = os.environ.get('HF_TOKEN')

print('Loading Maastricht parcel snapshot ...')
PARCELS = gpd.read_parquet(
    hf_hub_download(DATA_REPO, 'parcels.parquet', repo_type='dataset', token=HF_TOKEN)
).to_crs(28992)
BUILDINGS = gpd.read_parquet(
    hf_hub_download(DATA_REPO, 'buildings.parquet', repo_type='dataset', token=HF_TOKEN)
).to_crs(28992)

# Merge enriched residential parcel attributes (Address, Postcode, GPS)
try:
    local_enriched = './data/parcels_residential_enriched.parquet'
    if os.path.exists(local_enriched):
        enr_df = pd.read_parquet(local_enriched)
    else:
        enr_df = pd.read_parquet(
            hf_hub_download(DATA_REPO, 'parcels_residential_enriched.parquet', repo_type='dataset', token=HF_TOKEN)
        )
    enr_cols = ['identificatieLokaalID', 'straat_en_huisnummer', 'postcode', 'gps_coordinates']
    PARCELS = PARCELS.merge(enr_df[enr_cols], on='identificatieLokaalID', how='left')
    print('Enriched parcel attributes merged successfully.')
except Exception as e:
    print('Warning: could not load enriched parcel attributes:', e)
    for col in ['straat_en_huisnummer', 'postcode', 'gps_coordinates']:
        if col not in PARCELS.columns:
            PARCELS[col] = None

print('parcels', PARCELS.shape, '| buildings', BUILDINGS.shape)

ID_COL = 'identificatieLokaalID'
DATA = pd.DataFrame(PARCELS.drop(columns='geometry'))

TABLE_COLS = [
    ID_COL, 'straat_en_huisnummer', 'postcode', 'kadastraleGemeenteWaarde', 'sectie', 'perceelnummer',
    'total_parcel_area', 'total_building_footprint', 'calculated_garden_area',
    'building_coverage_pct', 'n_buildings', 'bouwjaar_min', 'bouwjaar_max',
    'gebruiksdoel', 'has_woonfunctie', 'gps_coordinates',
]

RENAME = {
    ID_COL: 'Kadaster_ID',
    'straat_en_huisnummer': 'Adres',
    'postcode': 'Postcode',
    'kadastraleGemeenteWaarde': 'Gemeente',
    'sectie': 'Sectie',
    'perceelnummer': 'Perceelnummer',
    'total_parcel_area': 'Perceel_m2',
    'total_building_footprint': 'Bebouwing_m2',
    'calculated_garden_area': 'Tuin_m2',
    'building_coverage_pct': 'Bebouwing_pct',
    'n_buildings': 'Aantal_panden',
    'bouwjaar_min': 'Bouwjaar_min',
    'bouwjaar_max': 'Bouwjaar_max',
    'gebruiksdoel': 'Gebruiksdoel',
    'has_woonfunctie': 'Woonfunctie',
    'gps_coordinates': 'GPS',
}

DATATYPES = ['str', 'str', 'str', 'str', 'str', 'number', 'number', 'number', 'number',
             'number', 'number', 'number', 'number', 'str', 'bool', 'str', 'html']

NUM_ROUND = ['Perceel_m2', 'Bebouwing_m2', 'Tuin_m2', 'Bebouwing_pct']

VIEW_CELL = ('<a href="/map/{pid}" target="_blank" style="color:#2563eb;font-weight:600;'
             'text-decoration:underline;white-space:nowrap">&#128506;&#65039; Bekijken</a>')

GEMEENTEN = sorted(DATA['kadastraleGemeenteWaarde'].dropna().unique().tolist())
SECTIES = sorted(DATA['sectie'].dropna().unique().tolist())
DOELEN = sorted(DATA['gebruiksdoel'].dropna().unique().tolist())
PARCEL_MAX = float(int(DATA['total_parcel_area'].max()) + 1)

MAP_TEMPLATE = """<!DOCTYPE html>
<html>
<head>
<meta charset='utf-8'/>
<meta name='viewport' content='width=device-width, initial-scale=1.0'/>
<title>Perceelkaart & Street View</title>
<link rel='stylesheet' href='https://unpkg.com/leaflet@1.9.4/dist/leaflet.css' crossorigin=''/>
<script src='https://unpkg.com/leaflet@1.9.4/dist/leaflet.js' crossorigin=''></script>
<style>
html, body { height: 100%; margin: 0; padding: 0; font-family: system-ui, -apple-system, sans-serif; overflow: hidden; background: #111827; }
.split-container { display: flex; width: 100vw; height: 100vh; }
.pane { flex: 1; position: relative; height: 100%; }
.pane-left { border-right: 2px solid #374151; }
.pane-right { display: flex; flex-direction: column; background: #1f2937; }
#map { position: absolute; top: 0; bottom: 0; left: 0; right: 0; }
#legend { position: absolute; bottom: 24px; left: 10px; z-index: 1000; background: rgba(255,255,255,.95); padding: 10px 12px; font: 13px/1.5 system-ui, sans-serif; border-radius: 8px; box-shadow: 0 2px 6px rgba(0,0,0,.35); color: #1f2937; }
.sw { display: inline-block; width: 14px; height: 14px; margin-right: 8px; vertical-align: -3px; border-radius: 3px; }
.leaflet-control-zoom a { font-size: 20px !important; line-height: 28px !important; width: 32px !important; height: 32px !important; }

.right-header {
  height: 48px;
  background: #111827;
  border-bottom: 1px solid #374151;
  display: flex;
  align-items: center;
  justify-content: space-between;
  padding: 0 16px;
  box-sizing: border-box;
  color: #f3f4f6;
  z-index: 10;
}
.right-header-title { font-weight: 600; font-size: 13px; color: #f3f4f6; display: flex; align-items: center; gap: 8px; white-space: nowrap; }
.right-header-actions { display: flex; gap: 6px; align-items: center; }
.btn-sm {
  padding: 5px 10px;
  font-size: 12px;
  font-weight: 500;
  border-radius: 6px;
  border: 1px solid #4b5563;
  background: #374151;
  color: #e5e7eb;
  text-decoration: none;
  cursor: pointer;
  display: inline-flex;
  align-items: center;
  gap: 4px;
  transition: all 0.15s ease;
  white-space: nowrap;
}
.btn-sm:hover { background: #4b5563; color: #ffffff; }
.btn-sm.active { background: #2563eb; color: #ffffff; border-color: #2563eb; }

#right-iframe { flex: 1; width: 100%; height: calc(100% - 48px); border: 0; background: #111827; }

@media (max-width: 768px) {
  .split-container { flex-direction: column; }
  .pane-left { height: 50vh; border-right: none; border-bottom: 2px solid #374151; }
  .pane-right { height: 50vh; }
}
</style>
</head>
<body>
<div class='split-container'>
  <div class='pane pane-left'>
    <div id='map'></div>
    <div id='legend'>
      <div><span class='sw' style='background:#ff6a00'></span>Perceel</div>
      <div><span class='sw' style='background:#3b82f6'></span>BAG-gebouwen</div>
    </div>
  </div>
  <div class='pane pane-right'>
    <div class='right-header'>
      <div class='right-header-title'>
        <span>📍 Google Maps / Street View</span>
      </div>
      <div class='right-header-actions'>
        <button id='btn-sat' class='btn-sm active' onclick='setGoogleMode("satellite")'>Satelliet</button>
        <button id='btn-map' class='btn-sm' onclick='setGoogleMode("roadmap")'>Kaart</button>
        <a id='link-sv' class='btn-sm' target='_blank' href='#'>Street View ↗</a>
        <a id='link-gm' class='btn-sm' target='_blank' href='#'>Google Maps ↗</a>
      </div>
    </div>
    <iframe id='right-iframe' allowfullscreen loading='lazy' referrerpolicy='no-referrer-when-downgrade'></iframe>
  </div>
</div>
<script>
var parcel = __PARCEL__;
var buildings = __BUILDINGS__;
var popupHtml = __POPUP__;
var map = L.map('map', { zoomControl: false, maxZoom: 21 });
L.control.zoom({ position: 'topright' }).addTo(map);
var aerial = L.tileLayer('https://service.pdok.nl/hwh/luchtfotorgb/wmts/v1_0/Actueel_orthoHR/EPSG:3857/{z}/{x}/{y}.jpeg', { maxZoom: 21, maxNativeZoom: 18, attribution: '&copy; PDOK / Beeldmateriaal' });
var osm = L.tileLayer('https://tile.openstreetmap.org/{z}/{x}/{y}.png', { maxZoom: 21, maxNativeZoom: 19, attribution: '&copy; OpenStreetMap' });
aerial.addTo(map);
var parcelLayer = L.geoJSON(parcel, { style: { color: '#ff6a00', weight: 3, fillColor: '#ff6a00', fillOpacity: 0.12 } }).addTo(map);
parcelLayer.bindPopup(popupHtml);
var bLayer = L.geoJSON(buildings, { style: { color: '#1d4ed8', weight: 1, fillColor: '#3b82f6', fillOpacity: 0.45 } });
bLayer.addTo(map);
L.control.layers({ 'Luchtfoto (PDOK)': aerial, 'Straatkaart (OSM)': osm }, { 'BAG-gebouwen': bLayer, 'Perceel': parcelLayer }, { collapsed: false, position: 'topright' }).addTo(map);
try { map.fitBounds(parcelLayer.getBounds().pad(0.25), { maxZoom: 19 }); } catch (e) { map.setView([50.8514, 5.6910], 16); }

var currentLat = 50.8514;
var currentLng = 5.6910;
try {
  var c = parcelLayer.getBounds().getCenter();
  currentLat = c.lat;
  currentLng = c.lng;
} catch (e) {}

var googleMode = 'satellite';

function updateGooglePane(lat, lng) {
  currentLat = lat;
  currentLng = lng;
  var latStr = lat.toFixed(6);
  var lngStr = lng.toFixed(6);
  var tParam = (googleMode === 'satellite') ? 'k' : 'm';
  var iframeUrl = 'https://maps.google.com/maps?q=' + latStr + ',' + lngStr + '&t=' + tParam + '&z=19&ie=UTF8&iwloc=&output=embed';
  var iframe = document.getElementById('right-iframe');
  if (iframe && iframe.src !== iframeUrl) {
    iframe.src = iframeUrl;
  }
  var svLink = document.getElementById('link-sv');
  if (svLink) {
    svLink.href = 'https://www.google.com/maps/@?api=1&map_action=pano&viewpoint=' + latStr + ',' + lngStr;
  }
  var gmLink = document.getElementById('link-gm');
  if (gmLink) {
    gmLink.href = 'https://www.google.com/maps/search/?api=1&query=' + latStr + ',' + lngStr;
  }
}

function setGoogleMode(mode) {
  googleMode = mode;
  document.getElementById('btn-sat').classList.toggle('active', mode === 'satellite');
  document.getElementById('btn-map').classList.toggle('active', mode === 'roadmap');
  updateGooglePane(currentLat, currentLng);
}

updateGooglePane(currentLat, currentLng);

map.on('click', function(e) {
  updateGooglePane(e.latlng.lat, e.latlng.lng);
});
</script>
</body>
</html>"""

CSS = """
#results-table { max-height: 620px; }
.modal-hint { font-size: 12px; color: #6b7280; }
#table-top-bar { display: flex; justify-content: space-between; align-items: center; margin-bottom: 4px; }
"""


def _fmt(v):
    try:
        fv = float(v)
        return str(int(fv)) if fv.is_integer() else str(round(fv, 1))
    except Exception:
        return str(v)


def _parse_int(v):
    if v is None:
        return None
    s = str(v).strip()
    if not s:
        return None
    try:
        return int(s)
    except ValueError:
        return None


def _popup_html(row):
    addr = str(row.get('straat_en_huisnummer') or '').strip()
    pc = str(row.get('postcode') or '').strip()
    addr_line = ''
    if addr and addr != 'None' and addr != 'nan':
        pc_part = f" ({pc})" if pc and pc != 'None' and pc != 'nan' else ""
        addr_line = f'<div style=\"font-size:14px;font-weight:700;color:#1d4ed8;margin-bottom:4px;\">📍 {addr}{pc_part}</div>'
    return (
        addr_line
        + '<b>Perceel ' + str(row.get('sectie', '')) + '-' + str(row.get('perceelnummer', '')) + '</b><br/>'
        + 'Kadaster-ID: ' + str(row[ID_COL]) + '<br/>'
        + 'Gemeente: ' + str(row.get('kadastraleGemeenteWaarde', '')) + '<br/>'
        + 'Perceel: ' + str(round(float(row.get('total_parcel_area', 0.0)), 1)) + ' m\u00b2<br/>'
        + 'Bebouwing: ' + str(round(float(row.get('total_building_footprint', 0.0)), 1))
        + ' m\u00b2 (' + str(int(row.get('n_buildings', 0))) + ' panden)<br/>'
        + 'Tuin: <b>' + str(round(float(row.get('calculated_garden_area', 0.0)), 1)) + ' m\u00b2</b>'
    )


def build_map(pid):
    sel = PARCELS[PARCELS[ID_COL] == pid]
    if sel.empty:
        return '<p>Perceel niet gevonden in de momentopname.</p>', 'Perceel niet gevonden'
    row = sel.iloc[0]
    geom = sel.geometry.iloc[0]
    parcel_geo = json.loads(sel.to_crs(4326).geometry.to_json())['features'][0]['geometry']
    try:
        near = BUILDINGS.iloc[list(BUILDINGS.sindex.query(geom, predicate='intersects'))]
    except Exception:
        near = BUILDINGS[BUILDINGS.intersects(geom)]
    if len(near):
        bjson = json.loads(near.to_crs(4326).geometry.to_json())
    else:
        bjson = {'type': 'FeatureCollection', 'features': []}
    popup = _popup_html(row)
    inner = (MAP_TEMPLATE
             .replace('__PARCEL__', json.dumps(parcel_geo))
             .replace('__BUILDINGS__', json.dumps(bjson))
             .replace('__POPUP__', json.dumps(popup)))
    srcdoc = inner.replace('&', '&amp;').replace('"', '&quot;')
    iframe = ('<iframe style="width:100%;height:540px;border:0;border-radius:10px" '
              'sandbox="allow-scripts allow-same-origin" srcdoc="' + srcdoc + '"></iframe>')
    title = ('Perceel ' + str(row.get('sectie', '')) + '-' + str(row.get('perceelnummer', ''))
             + ' \u00b7 ' + str(row.get('kadastraleGemeenteWaarde', ''))
             + ' \u00b7 ' + str(int(row.get('n_buildings', 0))) + ' pand(en)')
    return iframe, title


def get_filtered_df(garden_lo, garden_hi, parcel_lo, parcel_hi, cov_lo, cov_hi, nb_lo, nb_hi,
                    gemeenten, secties, perc_lo, perc_hi, year_lo, year_hi, excl_year,
                    doelen, residential, idq):
    df = DATA
    if garden_lo is None:
        garden_lo = 0.0
    if garden_hi is None:
        garden_hi = 1e12
    if parcel_lo is None:
        parcel_lo = 0.0
    if parcel_hi is None:
        parcel_hi = PARCEL_MAX
    if cov_lo is None:
        cov_lo = 0.0
    if cov_hi is None:
        cov_hi = 100.0
    if nb_lo is None:
        nb_lo = 0
    if nb_hi is None:
        nb_hi = 10 ** 9
    m = df['calculated_garden_area'].between(garden_lo, garden_hi)
    m = m & df['total_parcel_area'].between(parcel_lo, parcel_hi)
    m = m & df['building_coverage_pct'].between(cov_lo, cov_hi)
    m = m & df['n_buildings'].between(nb_lo, nb_hi)
    if gemeenten:
        m = m & df['kadastraleGemeenteWaarde'].isin(gemeenten)
    if secties:
        m = m & df['sectie'].isin(secties)
    if doelen:
        m = m & df['gebruiksdoel'].isin(doelen)
    perc_lo = _parse_int(perc_lo)
    perc_hi = _parse_int(perc_hi)
    if perc_lo is not None or perc_hi is not None:
        lo = -1 if perc_lo is None else perc_lo
        hi = 10 ** 9 if perc_hi is None else perc_hi
        m = m & df['perceelnummer'].between(lo, hi)
    if year_lo is not None or year_hi is not None:
        lo = 1200 if year_lo is None else year_lo
        hi = 2026 if year_hi is None else year_hi
        y = df['bouwjaar_median']
        ym = y.between(lo, hi)
        if not excl_year:
            ym = ym | y.isna()
        m = m & ym
    if residential == 'Ja':
        m = m & df['has_woonfunctie']
    elif residential == 'Nee':
        m = m & (~df['has_woonfunctie'])
    if idq:
        q = idq.strip()
        m = m & (
            df[ID_COL].astype(str).str.contains(q, case=False, na=False)
            | df['straat_en_huisnummer'].astype(str).str.contains(q, case=False, na=False)
            | df['postcode'].astype(str).str.contains(q, case=False, na=False)
        )
    return df[m]


def export_filtered_csv(garden_lo, garden_hi, parcel_lo, parcel_hi, cov_lo, cov_hi, nb_lo, nb_hi,
                        gemeenten, secties, perc_lo, perc_hi, year_lo, year_hi, excl_year,
                        doelen, residential, idq, limit):
    res = get_filtered_df(garden_lo, garden_hi, parcel_lo, parcel_hi, cov_lo, cov_hi, nb_lo, nb_hi,
                          gemeenten, secties, perc_lo, perc_hi, year_lo, year_hi, excl_year,
                          doelen, residential, idq)
    csv_path = os.path.join(tempfile.gettempdir(), 'maastricht_percelen_gefilterd.csv')
    if res.empty:
        empty_df = pd.DataFrame(columns=[RENAME.get(c, c) for c in TABLE_COLS])
        empty_df.to_csv(csv_path, index=False)
        return csv_path
    res = res.sort_values('calculated_garden_area', ascending=False)
    export = res[TABLE_COLS].rename(columns=RENAME)
    for c in NUM_ROUND:
        if c in export.columns:
            export[c] = export[c].round(1)
    export.to_csv(csv_path, index=False)
    return csv_path


def apply_filters(garden_lo, garden_hi, parcel_lo, parcel_hi, cov_lo, cov_hi, nb_lo, nb_hi,
                  gemeenten, secties, perc_lo, perc_hi, year_lo, year_hi, excl_year,
                  doelen, residential, idq, limit):
    res = get_filtered_df(garden_lo, garden_hi, parcel_lo, parcel_hi, cov_lo, cov_hi, nb_lo, nb_hi,
                          gemeenten, secties, perc_lo, perc_hi, year_lo, year_hi, excl_year,
                          doelen, residential, idq)
    csv_path = os.path.join(tempfile.gettempdir(), 'maastricht_percelen_gefilterd.csv')
    if res.empty:
        empty_df = pd.DataFrame(columns=[RENAME.get(c, c) for c in TABLE_COLS])
        empty_df.to_csv(csv_path, index=False)
        return 'Geen percelen gevonden met deze filters. Probeer de bereiken te verruimen.', None, csv_path, csv_path, csv_path
    res = res.sort_values('calculated_garden_area', ascending=False)
    shown = res[TABLE_COLS].head(int(limit)).copy()
    shown['Bekijken'] = [VIEW_CELL.replace('{pid}', str(v)) for v in shown[ID_COL]]
    shown = shown.rename(columns=RENAME)
    export = res[TABLE_COLS].rename(columns=RENAME)
    for frame in (shown, export):
        for c in NUM_ROUND:
            if c in frame.columns:
                frame[c] = frame[c].round(1)
    export.to_csv(csv_path, index=False)
    # NaN (percelen zonder gebouwen hebben geen bouwjaar) is niet JSON-compatibel:
    # naar None converteren zodat de Dataframe-payload serialiseert.
    shown = shown.astype(object).where(pd.notna(shown), None)
    status = ('**' + format(len(res), ',d') + '** percelen komen overeen (van ' + format(len(DATA), ',d')
              + ' in de momentopname). Tuin ' + _fmt(garden_lo) + '\u2013' + _fmt(garden_hi)
              + ' m\u00b2, gesorteerd op tuinoppervlak; top ' + str(len(shown)) + ' weergegeven.')
    return status, shown, csv_path, csv_path, csv_path


def build_map_page(pid):
    sel = PARCELS[PARCELS[ID_COL] == str(pid)]
    if sel.empty:
        return '<html><body><p>Perceel niet gevonden in de momentopname.</p></body></html>'
    row = sel.iloc[0]
    geom = sel.geometry.iloc[0]
    parcel_geo = json.loads(sel.to_crs(4326).geometry.to_json())['features'][0]['geometry']
    try:
        near = BUILDINGS.iloc[list(BUILDINGS.sindex.query(geom, predicate='intersects'))]
    except Exception:
        near = BUILDINGS[BUILDINGS.intersects(geom)]
    bjson = json.loads(near.to_crs(4326).geometry.to_json()) if len(near) else {'type': 'FeatureCollection', 'features': []}
    popup = _popup_html(row)
    return (MAP_TEMPLATE
            .replace('__PARCEL__', json.dumps(parcel_geo))
            .replace('__BUILDINGS__', json.dumps(bjson))
            .replace('__POPUP__', json.dumps(popup)))


with ui.Blocks(title='Maastricht Tuinzoeker') as demo:
    ui.HTML('<style>' + CSS + '</style>')  # inline CSS: compatible with Gradio 5 and 6
    ui.Markdown('# Maastricht Woning- & Tuinverkenner')
    ui.Markdown(
        'Kadastrale percelen (**Kadaster BRK**) gekoppeld aan gebouwvoetafdrukken (**BAG**) voor '
        'de hele gemeente Maastricht, vooraf geladen uit een eenmalige PDOK-momentopname.\n\n'
        '*Tuinoppervlak = perceeloppervlak \u2212 gebouwvoetafdruk (geknipt op de doorsnede). '
        'Elk veld is filterbaar; het tuinbereik staat standaard op 50\u2013500 m\u00b2.*'
    )

    with ui.Row():
        with ui.Column(scale=1):
            ui.Markdown('### Filters')
            with ui.Row():
                garden_lo = ui.Number(value=50, label='Tuin min (m\u00b2)')
                garden_hi = ui.Number(value=500, label='Tuin max (m\u00b2)')
            with ui.Row():
                parcel_lo = ui.Number(value=0, label='Perceel min (m\u00b2)')
                parcel_hi = ui.Number(value=PARCEL_MAX, label='Perceel max (m\u00b2)')
            with ui.Row():
                cov_lo = ui.Number(value=0, label='Bebouwing min (%)')
                cov_hi = ui.Number(value=100, label='Bebouwing max (%)')
            with ui.Row():
                nb_lo = ui.Number(value=0, label='Panden min')
                nb_hi = ui.Number(value=50, label='Panden max')
            with ui.Row():
                perc_lo = ui.Textbox(value='', label='Perceelnummer min')
                perc_hi = ui.Textbox(value='', label='Perceelnummer max')
            with ui.Row():
                year_lo = ui.Number(value=1200, label='Bouwjaar min')
                year_hi = ui.Number(value=2026, label='Bouwjaar max')
            gemeenten = ui.Dropdown(choices=GEMEENTEN, multiselect=True,
                                    label='Kadastrale gemeente')
            secties = ui.Dropdown(choices=SECTIES, multiselect=True, label='Sectie')
            doelen = ui.Dropdown(choices=DOELEN, multiselect=True, label='Gebruiksdoel')
            excl_year = ui.Checkbox(value=False,
                                    label='Percelen zonder bekend bouwjaar uitsluiten')
            residential = ui.Radio(choices=['Alle', 'Ja', 'Nee'], value='Alle',
                                   label='Woonfunctie')
            idq = ui.Textbox(label='Zoeken (Adres, Postcode, Kadaster-ID)', placeholder='bijv. Boschstraat, 6211, 3430000927')
            limit = ui.Slider(minimum=5, maximum=500, value=25, step=5, label='Weergegeven rijen')
            with ui.Row():
                btn = ui.Button('Filters toepassen', variant='primary', scale=2)
                export_btn = ui.DownloadButton('📥 Exporteer (.csv)', variant='secondary', scale=2)
            ui.Markdown('<div class="modal-hint">Klik op <b>Bekijken</b> in een rij om de '
                        'perceelkaart in een nieuw tabblad te openen.</div>')

        with ui.Column(scale=3):
            with ui.Row(elem_id='table-top-bar'):
                status = ui.Markdown()
                table_export_btn = ui.DownloadButton('📥 Exporteer naar .csv', variant='secondary', size='sm', scale=0)
            table = ui.Dataframe(datatype=DATATYPES, interactive=True, wrap=False,
                                 elem_id='results-table', label='Overeenkomende percelen')
            download = ui.File(label='📥 Gefilterde CSV downloaden')

    inputs = [garden_lo, garden_hi, parcel_lo, parcel_hi, cov_lo, cov_hi, nb_lo, nb_hi,
              gemeenten, secties, perc_lo, perc_hi, year_lo, year_hi, excl_year,
              doelen, residential, idq, limit]
    btn.click(fn=apply_filters, inputs=inputs, outputs=[status, table, export_btn, table_export_btn, download])
    demo.load(fn=apply_filters, inputs=inputs, outputs=[status, table, export_btn, table_export_btn, download])
    export_btn.click(fn=export_filtered_csv, inputs=inputs, outputs=export_btn)
    table_export_btn.click(fn=export_filtered_csv, inputs=inputs, outputs=table_export_btn)

@app.get('/map/{pid}')
def map_page(pid: str):
    return HTMLResponse(build_map_page(pid))

app = ui.mount_gradio_app(app, demo, path='/')