Add pocketbase and other changes

This commit is contained in:
Andras Schmelczer 2026-02-07 19:20:22 +00:00
parent a9717d570d
commit 229150b641
14 changed files with 1178 additions and 91 deletions

View file

@ -0,0 +1,507 @@
use std::collections::hash_map::DefaultHasher;
use std::hash::{Hash, Hasher};
use std::sync::Arc;
use axum::extract::Query;
use axum::http::{header, StatusCode};
use axum::response::IntoResponse;
use rust_xlsxwriter::{Format, FormatAlign, FormatBorder, Image, Url, Workbook};
use rustc_hash::{FxHashMap, FxHashSet};
use serde::Deserialize;
use tracing::{info, warn};
use crate::parsing::{parse_bounds, parse_filters, row_passes_filters};
use crate::routes::FeatureInfo;
use crate::state::AppState;
const MAX_EXPORT_POSTCODES: usize = 250;
/// Height (in pixels) reserved for the OG image row
const IMAGE_ROW_HEIGHT: f64 = 225.0;
#[derive(Deserialize)]
pub struct ExportParams {
bounds: Option<String>,
filters: Option<String>,
fields: Option<String>,
}
/// Per-postcode accumulator for export aggregation (mean for numeric, mode for enum).
struct PostcodeExportAgg {
count: u32,
sums: Vec<f64>,
finite_counts: Vec<u32>,
/// feat_idx -> (value_bits -> count) for enum mode calculation
enum_freqs: FxHashMap<usize, FxHashMap<u32, u32>>,
}
impl PostcodeExportAgg {
fn new(num_features: usize) -> Self {
Self {
count: 0,
sums: vec![0.0; num_features],
finite_counts: vec![0; num_features],
enum_freqs: FxHashMap::default(),
}
}
#[inline]
fn add_row(
&mut self,
feature_data: &[f32],
row: usize,
num_features: usize,
enum_indices: &FxHashMap<usize, ()>,
) {
self.count += 1;
let base = row * num_features;
let row_slice = &feature_data[base..base + num_features];
for (feat_idx, &value) in row_slice.iter().enumerate() {
if !value.is_finite() {
continue;
}
if enum_indices.contains_key(&feat_idx) {
*self
.enum_freqs
.entry(feat_idx)
.or_default()
.entry(value.to_bits())
.or_insert(0) += 1;
} else {
self.sums[feat_idx] += value as f64;
self.finite_counts[feat_idx] += 1;
}
}
}
}
/// Extract feature names referenced in the filters param (preserving order).
fn extract_filter_feature_names(filters_str: Option<&str>) -> Vec<String> {
let input = match filters_str.filter(|text| !text.is_empty()) {
Some(text) => text,
None => return Vec::new(),
};
let mut names = Vec::new();
for entry in input.split(',') {
let parts: Vec<&str> = entry.splitn(2, ':').collect();
if parts.len() == 2 {
let name = parts[0].trim().to_string();
if !names.contains(&name) {
names.push(name);
}
}
}
names
}
/// Fetch the OG screenshot image from the sidecar service.
async fn fetch_og_image(
state: &AppState,
view_param: &str,
filters_str: Option<&str>,
) -> Option<Vec<u8>> {
let sidecar_url = state.og_sidecar_url.as_deref()?;
let mut params = vec![format!("v={}", urlencoding::encode(view_param))];
if let Some(fs) = filters_str {
if !fs.is_empty() {
params.push(format!("f={}", urlencoding::encode(fs)));
}
}
let url = format!("{}/screenshot?{}", sidecar_url, params.join("&"));
match state.http_client.get(&url).send().await {
Ok(resp) if resp.status().is_success() => match resp.bytes().await {
Ok(bytes) => {
info!(bytes = bytes.len(), "Fetched OG image for export");
Some(bytes.to_vec())
}
Err(err) => {
warn!("Failed to read OG sidecar response for export: {err}");
None
}
},
Ok(resp) => {
warn!(status = %resp.status(), "OG sidecar returned error for export");
None
}
Err(err) => {
warn!("Failed to reach OG sidecar for export: {err}");
None
}
}
}
pub async fn get_export(
state: Arc<AppState>,
Query(params): Query<ExportParams>,
) -> Result<impl IntoResponse, (StatusCode, String)> {
let bounds_str = params.bounds.ok_or((
StatusCode::BAD_REQUEST,
"bounds parameter is required".into(),
))?;
let (south, west, north, east) = parse_bounds(&bounds_str)?;
let filters_str = params.filters.clone();
let fields_str = params.fields.clone();
let (parsed_filters, parsed_enum_filters) = parse_filters(
params.filters.as_deref(),
&state.feature_name_to_index,
&state.data.enum_values,
);
let public_url = state.public_url.clone();
// Compute view param for OG image and dashboard URL
let center_lat = (south + north) / 2.0;
let center_lon = (west + east) / 2.0;
let lat_span = north - south;
let zoom = if lat_span > 0.0 {
(360.0 / lat_span).log2().clamp(1.0, 18.0)
} else {
12.0
};
let view_param = format!("{:.4},{:.4},{:.1}", center_lat, center_lon, zoom);
// Fetch OG image from sidecar (async, before spawn_blocking)
let og_image_bytes = fetch_og_image(&state, &view_param, filters_str.as_deref()).await;
// Build feature name → description map from the precomputed features response
let feature_descriptions: FxHashMap<String, String> = state
.features_response
.groups
.iter()
.flat_map(|group| &group.features)
.map(|feat| match feat {
FeatureInfo::Numeric {
name, description, ..
} => (name.clone(), description.to_string()),
FeatureInfo::Enum {
name, description, ..
} => (name.clone(), description.to_string()),
})
.collect();
let bytes = tokio::task::spawn_blocking(move || -> Result<Vec<u8>, String> {
let t0 = std::time::Instant::now();
let num_features = state.data.num_features;
let feature_data = &state.data.feature_data;
let feature_names = &state.data.feature_names;
let enum_values = &state.data.enum_values;
let postcode_data = &state.postcode_data;
// Build set of enum feature indices for quick lookup
let enum_indices: FxHashMap<usize, ()> = enum_values.keys().map(|&idx| (idx, ())).collect();
// Group rows by postcode
let mut postcode_rows: FxHashMap<usize, Vec<usize>> = FxHashMap::default();
state
.grid
.for_each_in_bounds(south, west, north, east, |row_idx| {
let row = row_idx as usize;
if !row_passes_filters(
row,
&parsed_filters,
&parsed_enum_filters,
feature_data,
num_features,
) {
return;
}
let postcode = state.data.postcode(row);
if let Some(&pc_idx) = postcode_data.postcode_to_idx.get(postcode) {
postcode_rows.entry(pc_idx).or_default().push(row);
}
});
// Aggregate per postcode
let mut postcode_aggs: Vec<(usize, PostcodeExportAgg)> =
Vec::with_capacity(postcode_rows.len());
for (pc_idx, rows) in postcode_rows {
let mut agg = PostcodeExportAgg::new(num_features);
for &row in &rows {
agg.add_row(feature_data, row, num_features, &enum_indices);
}
if agg.count > 0 {
postcode_aggs.push((pc_idx, agg));
}
}
// Sort by property count descending
postcode_aggs.sort_unstable_by(|lhs, rhs| rhs.1.count.cmp(&lhs.1.count));
// Sample if too many postcodes
let was_sampled = postcode_aggs.len() > MAX_EXPORT_POSTCODES;
if was_sampled {
let mut hasher = DefaultHasher::new();
bounds_str.hash(&mut hasher);
let seed = hasher.finish();
let len = postcode_aggs.len();
for pick in 0..MAX_EXPORT_POSTCODES {
let swap_idx = pick
+ ((seed.wrapping_mul(pick as u64 + 1).wrapping_add(pick as u64)) as usize
% (len - pick));
postcode_aggs.swap(pick, swap_idx);
}
postcode_aggs.truncate(MAX_EXPORT_POSTCODES);
postcode_aggs.sort_unstable_by(|lhs, rhs| rhs.1.count.cmp(&lhs.1.count));
}
// Determine column order: filter features first, then remaining
let filter_feature_names = extract_filter_feature_names(filters_str.as_deref());
let field_indices: Option<Vec<usize>> = fields_str.as_ref().map(|fs| {
if fs.is_empty() {
return Vec::new();
}
fs.split(',')
.filter_map(|name| {
let name = name.trim();
if name.is_empty() {
return None;
}
state.feature_name_to_index.get(name).copied()
})
.collect()
});
let all_feature_indices: Vec<usize> = if let Some(ref indices) = field_indices {
indices.clone()
} else {
let mut ordered = Vec::with_capacity(num_features);
let mut used = FxHashSet::default();
for name in &filter_feature_names {
if let Some(&idx) = state.feature_name_to_index.get(name.as_str()) {
if used.insert(idx) {
ordered.push(idx);
}
}
}
for idx in 0..num_features {
if used.insert(idx) {
ordered.push(idx);
}
}
ordered
};
// Build Excel workbook
let mut workbook = Workbook::new();
let sheet = workbook.add_worksheet();
// Formats
let header_fmt = Format::new()
.set_bold()
.set_border_bottom(FormatBorder::Thin)
.set_align(FormatAlign::Center);
let desc_fmt = Format::new()
.set_italic()
.set_font_color("#666666")
.set_font_size(9)
.set_align(FormatAlign::Center)
.set_text_wrap();
let link_fmt = Format::new()
.set_font_color("#0563C1")
.set_underline(rust_xlsxwriter::FormatUnderline::Single)
.set_font_size(11);
let note_fmt = Format::new()
.set_italic()
.set_font_color("#666666")
.set_align(FormatAlign::Left);
// Row 0: "View on Narrowit" link
let mut dashboard_url = format!("{}/", public_url);
let mut query_parts: Vec<String> = Vec::new();
query_parts.push(format!("v={}", view_param));
if let Some(ref fs) = filters_str {
if !fs.is_empty() {
query_parts.push(format!("f={}", urlencoding::encode(fs)));
}
}
if !query_parts.is_empty() {
dashboard_url.push('?');
dashboard_url.push_str(&query_parts.join("&"));
}
sheet
.write_url(0, 0, Url::new(&dashboard_url).set_text("View on Narrowit"))
.map_err(|err| format!("Failed to write URL: {err}"))?;
sheet
.set_row_format(0, &link_fmt)
.map_err(|err| format!("Failed to set row format: {err}"))?;
// Row 1: OG image (if available)
let mut current_row = 1u32;
if let Some(ref img_bytes) = og_image_bytes {
match Image::new_from_buffer(img_bytes) {
Ok(mut image) => {
// Scale image to fit: ~400px wide, auto height preserving aspect ratio
image = image.set_scale_to_size(400, 300, true);
sheet
.insert_image(current_row, 0, &image)
.map_err(|err| format!("Failed to insert OG image: {err}"))?;
// Set row height to accommodate the image
sheet
.set_row_height(current_row, IMAGE_ROW_HEIGHT)
.map_err(|err| format!("Failed to set image row height: {err}"))?;
current_row += 1;
}
Err(err) => {
warn!("Failed to parse OG image for export: {err}");
// Skip image row, don't leave a gap
}
}
}
// Leave a blank row between image and header
current_row += 1;
// Header row
let header_row = current_row;
sheet
.write_string_with_format(header_row, 0, "Postcode", &header_fmt)
.map_err(|err| format!("Failed to write header: {err}"))?;
sheet
.write_string_with_format(header_row, 1, "Properties", &header_fmt)
.map_err(|err| format!("Failed to write header: {err}"))?;
for (col_offset, &feat_idx) in all_feature_indices.iter().enumerate() {
let col = (col_offset + 2) as u16;
sheet
.write_string_with_format(header_row, col, &feature_names[feat_idx], &header_fmt)
.map_err(|err| format!("Failed to write header: {err}"))?;
}
// Description row (below header)
let desc_row = header_row + 1;
// Empty descriptions for Postcode and Properties columns
sheet
.write_string_with_format(desc_row, 0, "", &desc_fmt)
.map_err(|err| format!("Failed to write desc: {err}"))?;
sheet
.write_string_with_format(desc_row, 1, "Count of properties", &desc_fmt)
.map_err(|err| format!("Failed to write desc: {err}"))?;
for (col_offset, &feat_idx) in all_feature_indices.iter().enumerate() {
let col = (col_offset + 2) as u16;
let desc = feature_descriptions
.get(&feature_names[feat_idx])
.map(String::as_str)
.unwrap_or("");
sheet
.write_string_with_format(desc_row, col, desc, &desc_fmt)
.map_err(|err| format!("Failed to write desc: {err}"))?;
}
// Write data rows (starting after description row)
let data_start_row = desc_row + 1;
for (row_offset, (pc_idx, agg)) in postcode_aggs.iter().enumerate() {
let row = data_start_row + row_offset as u32;
sheet
.write_string(row, 0, &postcode_data.postcodes[*pc_idx])
.map_err(|err| format!("Failed to write postcode: {err}"))?;
sheet
.write_number(row, 1, agg.count as f64)
.map_err(|err| format!("Failed to write count: {err}"))?;
for (col_offset, &feat_idx) in all_feature_indices.iter().enumerate() {
let col = (col_offset + 2) as u16;
if enum_indices.contains_key(&feat_idx) {
if let Some(freqs) = agg.enum_freqs.get(&feat_idx) {
if let Some((&mode_bits, _)) = freqs.iter().max_by_key(|(_, &count)| count)
{
let mode_f32 = f32::from_bits(mode_bits);
let mode_idx = mode_f32 as usize;
if let Some(values) = enum_values.get(&feat_idx) {
if mode_idx < values.len() {
sheet.write_string(row, col, &values[mode_idx]).map_err(
|err| format!("Failed to write enum value: {err}"),
)?;
}
}
}
}
} else {
let fc = agg.finite_counts[feat_idx];
if fc > 0 {
let mean = agg.sums[feat_idx] / fc as f64;
sheet
.write_number(row, col, mean)
.map_err(|err| format!("Failed to write numeric value: {err}"))?;
}
}
}
}
// If sampled, add a note at the bottom
if was_sampled {
let note_row = data_start_row + postcode_aggs.len() as u32 + 1;
let total_cols = (all_feature_indices.len() + 2) as u16;
sheet
.merge_range(
note_row,
0,
note_row,
total_cols.saturating_sub(1),
&format!(
"Only the first {} postcodes shown (randomly sampled from results)",
MAX_EXPORT_POSTCODES
),
&note_fmt,
)
.map_err(|err| format!("Failed to write note: {err}"))?;
}
// Column widths
sheet.set_column_width(0, 12).ok();
sheet.set_column_width(1, 12).ok();
for col_offset in 0..all_feature_indices.len() {
let col = (col_offset + 2) as u16;
let feat_name = &feature_names[all_feature_indices[col_offset]];
let width = (feat_name.len() as f64 * 1.1).clamp(10.0, 30.0);
sheet.set_column_width(col, width).ok();
}
let buf = workbook
.save_to_buffer()
.map_err(|err| format!("Failed to save workbook: {err}"))?;
let t_total = t0.elapsed();
info!(
postcodes = postcode_aggs.len(),
sampled = was_sampled,
features = all_feature_indices.len(),
has_og_image = og_image_bytes.is_some(),
bytes = buf.len(),
total_ms = format_args!("{:.1}", t_total.as_secs_f64() * 1000.0),
"GET /api/export"
);
Ok(buf)
})
.await
.map_err(|err| (StatusCode::INTERNAL_SERVER_ERROR, err.to_string()))?
.map_err(|err| (StatusCode::INTERNAL_SERVER_ERROR, err))?;
Ok((
[
(
header::CONTENT_TYPE,
"application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
),
(
header::CONTENT_DISPOSITION,
"attachment; filename=\"narrowit-export.xlsx\"",
),
],
bytes,
))
}

View file

@ -39,11 +39,19 @@ pub struct EnumFeatureStats {
counts: HashMap<String, u64>,
}
#[derive(Serialize)]
pub struct PricePoint {
year: f32,
price: f32,
}
#[derive(Serialize)]
pub struct HexagonStatsResponse {
count: usize,
numeric_features: Vec<NumericFeatureStats>,
enum_features: Vec<EnumFeatureStats>,
#[serde(skip_serializing_if = "Vec::is_empty")]
price_history: Vec<PricePoint>,
}
#[derive(Deserialize)]
@ -148,6 +156,43 @@ pub async fn get_hexagon_stats(
let total_count = matching_rows.len();
// Collect price history (year, price) pairs
let price_history = {
let year_idx = state.feature_name_to_index.get("Transaction year").copied();
let price_idx = state.feature_name_to_index.get("Last known price").copied();
match (year_idx, price_idx) {
(Some(yi), Some(pi)) => {
let mut points: Vec<PricePoint> = matching_rows
.iter()
.filter_map(|&row| {
let year = feature_data[row * num_features + yi];
let price = feature_data[row * num_features + pi];
if year.is_finite() && price.is_finite() {
Some(PricePoint { year, price })
} else {
None
}
})
.collect();
// Cap at 5000 points by evenly sampling
if points.len() > 5000 {
let step = points.len() as f64 / 5000.0;
points = (0..5000)
.map(|i| {
let idx = (i as f64 * step) as usize;
PricePoint {
year: points[idx].year,
price: points[idx].price,
}
})
.collect();
}
points
}
_ => Vec::new(),
}
};
let mut numeric_features = Vec::new();
let mut enum_features_out = Vec::new();
@ -267,6 +312,7 @@ pub async fn get_hexagon_stats(
count: total_count,
numeric_features,
enum_features: enum_features_out,
price_history,
})
})
.await

View file

@ -9,7 +9,9 @@ use serde_json::{Map, Value};
use tracing::{info, warn};
use crate::consts::{H3_PRECOMPUTE_MAX, H3_REQUEST_MAX, H3_REQUEST_MIN};
use crate::parsing::{bounds_intersect, h3_cell_bounds, parse_bounds, parse_filters, row_passes_filters};
use crate::parsing::{
bounds_intersect, h3_cell_bounds, parse_bounds, parse_filters, row_passes_filters,
};
use crate::state::AppState;
#[derive(Serialize)]
@ -111,7 +113,9 @@ fn build_feature_maps(
// Filter out cells that don't intersect the query bounds
let (c_south, c_west, c_north, c_east) = h3_cell_bounds(cell, 0.0);
if !bounds_intersect(c_south, c_west, c_north, c_east, q_south, q_west, q_north, q_east) {
if !bounds_intersect(
c_south, c_west, c_north, c_east, q_south, q_west, q_north, q_east,
) {
continue;
}
@ -126,8 +130,7 @@ fn build_feature_maps(
};
for feat_index in iter {
if aggregation.mins[feat_index].is_finite()
&& aggregation.maxs[feat_index].is_finite()
if aggregation.mins[feat_index].is_finite() && aggregation.maxs[feat_index].is_finite()
{
if let (Some(min_num), Some(max_num)) = (
serde_json::Number::from_f64(aggregation.mins[feat_index] as f64),

View file

@ -0,0 +1,14 @@
use axum::http::StatusCode;
use axum::response::IntoResponse;
use axum::Extension;
use serde_json::json;
use crate::auth::OptionalUser;
pub async fn get_me(Extension(user): Extension<OptionalUser>) -> impl IntoResponse {
let body = match user.0 {
Some(usr) => json!({ "user": usr }),
None => json!({ "user": null }),
};
(StatusCode::OK, axum::Json(body))
}

View file

@ -0,0 +1,90 @@
use std::sync::Arc;
use axum::body::Body;
use axum::extract::Request;
use axum::http::{HeaderName, StatusCode};
use axum::response::{IntoResponse, Response};
use tracing::warn;
use crate::state::AppState;
pub async fn proxy_to_pocketbase(state: Arc<AppState>, req: Request) -> impl IntoResponse {
let pb_url = match &state.pocketbase_url {
Some(url) => url.trim_end_matches('/'),
None => {
return Response::builder()
.status(StatusCode::SERVICE_UNAVAILABLE)
.body(Body::from("PocketBase not configured"))
.unwrap();
}
};
let path = req.uri().path();
let target_path = path.strip_prefix("/pb").unwrap_or(path);
let query = req
.uri()
.query()
.map(|qs| format!("?{qs}"))
.unwrap_or_default();
let url = format!("{pb_url}{target_path}{query}");
let method = req.method().clone();
let mut builder = state.http_client.request(method, &url);
// Forward headers except host
for (name, value) in req.headers() {
if name != "host" {
builder = builder.header(name.clone(), value.clone());
}
}
// Forward body
let body_bytes = match axum::body::to_bytes(req.into_body(), 10 * 1024 * 1024).await {
Ok(bytes) => bytes,
Err(err) => {
warn!("Failed to read request body: {err}");
return Response::builder()
.status(StatusCode::BAD_REQUEST)
.body(Body::from("Failed to read request body"))
.unwrap();
}
};
builder = builder.body(body_bytes);
match builder.send().await {
Ok(upstream) => {
let status = upstream.status();
let mut response = Response::builder().status(status);
for (name, value) in upstream.headers() {
// Skip hop-by-hop headers
if name == "transfer-encoding" {
continue;
}
response = response.header(
HeaderName::from_bytes(name.as_ref())
.unwrap_or(HeaderName::from_static("x-invalid")),
value.clone(),
);
}
match upstream.bytes().await {
Ok(bytes) => response.body(Body::from(bytes)).unwrap(),
Err(err) => {
warn!("Failed to read upstream response: {err}");
Response::builder()
.status(StatusCode::BAD_GATEWAY)
.body(Body::from("Failed to read upstream response"))
.unwrap()
}
}
}
Err(err) => {
warn!("PocketBase proxy error: {err}");
Response::builder()
.status(StatusCode::BAD_GATEWAY)
.body(Body::from("PocketBase unavailable"))
.unwrap()
}
}
}

View file

@ -13,6 +13,7 @@ use crate::state::AppState;
#[derive(Serialize)]
pub struct PostcodesResponse {
r#type: &'static str,
features: Vec<Map<String, Value>>,
}
@ -181,37 +182,88 @@ pub async fn get_postcodes(
continue;
}
// Compute postcode polygon bounding box and check intersection with query bounds
let vertices = &postcode_data.vertices[pc_idx];
// Compute postcode polygon bounding box across ALL parts and check intersection
let rings = &postcode_data.polygons[pc_idx];
let (mut pc_south, mut pc_north) = (f64::INFINITY, f64::NEG_INFINITY);
let (mut pc_west, mut pc_east) = (f64::INFINITY, f64::NEG_INFINITY);
for &[lon, lat] in vertices {
let lon_f = lon as f64;
let lat_f = lat as f64;
if lat_f < pc_south { pc_south = lat_f; }
if lat_f > pc_north { pc_north = lat_f; }
if lon_f < pc_west { pc_west = lon_f; }
if lon_f > pc_east { pc_east = lon_f; }
for ring in rings {
for &[lon, lat] in ring {
let lon_f = lon as f64;
let lat_f = lat as f64;
if lat_f < pc_south {
pc_south = lat_f;
}
if lat_f > pc_north {
pc_north = lat_f;
}
if lon_f < pc_west {
pc_west = lon_f;
}
if lon_f > pc_east {
pc_east = lon_f;
}
}
}
if !bounds_intersect(pc_south, pc_west, pc_north, pc_east, south, west, north, east) {
if !bounds_intersect(
pc_south, pc_west, pc_north, pc_east, south, west, north, east,
) {
filtered_out += 1;
continue;
}
let mut map = Map::new();
map.insert(
// Build GeoJSON geometry: Polygon (1 ring) or MultiPolygon (2+ rings)
let geometry = if rings.len() == 1 {
let coords: Vec<Value> = rings[0]
.iter()
.map(|[lon, lat]| {
Value::Array(vec![Value::from(*lon as f64), Value::from(*lat as f64)])
})
.collect();
let mut geo = Map::new();
geo.insert("type".into(), Value::String("Polygon".into()));
geo.insert(
"coordinates".into(),
Value::Array(vec![Value::Array(coords)]),
);
geo
} else {
let polys: Vec<Value> = rings
.iter()
.map(|ring| {
let coords: Vec<Value> = ring
.iter()
.map(|[lon, lat]| {
Value::Array(vec![
Value::from(*lon as f64),
Value::from(*lat as f64),
])
})
.collect();
Value::Array(vec![Value::Array(coords)])
})
.collect();
let mut geo = Map::new();
geo.insert("type".into(), Value::String("MultiPolygon".into()));
geo.insert("coordinates".into(), Value::Array(polys));
geo
};
// Build properties
let centroid = postcode_data.centroids[pc_idx];
let mut props = Map::new();
props.insert(
"postcode".into(),
Value::String(postcode_data.postcodes[pc_idx].clone()),
);
map.insert("count".into(), Value::Number(aggregation.count.into()));
// Add vertices as array of [lon, lat] pairs
let vertices_array: Vec<Value> = vertices
.iter()
.map(|[lon, lat]| Value::Array(vec![Value::from(*lon as f64), Value::from(*lat as f64)]))
.collect();
map.insert("vertices".into(), Value::Array(vertices_array));
props.insert("count".into(), Value::Number(aggregation.count.into()));
props.insert(
"centroid".into(),
Value::Array(vec![
Value::from(centroid.1 as f64), // lon
Value::from(centroid.0 as f64), // lat
]),
);
let iter: Box<dyn Iterator<Item = usize>> = if let Some(idx) = field_indices.as_ref() {
Box::new(idx.iter().copied())
@ -227,13 +279,19 @@ pub async fn get_postcodes(
serde_json::Number::from_f64(aggregation.mins[feat_index] as f64),
serde_json::Number::from_f64(aggregation.maxs[feat_index] as f64),
) {
map.insert(min_keys[feat_index].clone(), Value::Number(min_num));
map.insert(max_keys[feat_index].clone(), Value::Number(max_num));
props.insert(min_keys[feat_index].clone(), Value::Number(min_num));
props.insert(max_keys[feat_index].clone(), Value::Number(max_num));
}
}
}
features.push(map);
// Build GeoJSON Feature
let mut feature = Map::new();
feature.insert("type".into(), Value::String("Feature".into()));
feature.insert("geometry".into(), Value::Object(geometry));
feature.insert("properties".into(), Value::Object(props));
features.push(feature);
}
let t_total = t0.elapsed();
@ -248,7 +306,10 @@ pub async fn get_postcodes(
"GET /api/postcodes"
);
Ok(PostcodesResponse { features })
Ok(PostcodesResponse {
r#type: "FeatureCollection",
features,
})
})
.await
.map_err(|error| (StatusCode::INTERNAL_SERVER_ERROR, error.to_string()))?
@ -257,20 +318,11 @@ pub async fn get_postcodes(
Ok(Json(response))
}
#[derive(Serialize)]
pub struct PostcodeLookupResponse {
pub postcode: String,
pub latitude: f64,
pub longitude: f64,
/// Polygon vertices as [[lon, lat], ...] for rendering highlight
pub vertices: Vec<[f64; 2]>,
}
/// Look up a single postcode and return its centroid coordinates and polygon.
/// Look up a single postcode and return its centroid coordinates and geometry.
pub async fn get_postcode_lookup(
state: Arc<AppState>,
Path(postcode): Path<String>,
) -> Result<Json<PostcodeLookupResponse>, StatusCode> {
) -> Result<Json<Value>, StatusCode> {
// Normalize the postcode: uppercase, remove extra spaces, ensure single space
let normalized = postcode
.to_uppercase()
@ -282,17 +334,40 @@ pub async fn get_postcode_lookup(
if let Some(&idx) = postcode_data.postcode_to_idx.get(&normalized) {
let (lat, lon) = postcode_data.centroids[idx];
let vertices: Vec<[f64; 2]> = postcode_data.vertices[idx]
.iter()
.map(|[lo, la]| [*lo as f64, *la as f64])
.collect();
let rings = &postcode_data.polygons[idx];
// Build GeoJSON geometry
let geometry = if rings.len() == 1 {
let coords: Vec<Value> = rings[0]
.iter()
.map(|[lo, la]| {
Value::Array(vec![Value::from(*lo as f64), Value::from(*la as f64)])
})
.collect();
serde_json::json!({ "type": "Polygon", "coordinates": [coords] })
} else {
let polys: Vec<Value> = rings
.iter()
.map(|ring| {
let coords: Vec<Value> = ring
.iter()
.map(|[lo, la]| {
Value::Array(vec![Value::from(*lo as f64), Value::from(*la as f64)])
})
.collect();
Value::Array(vec![Value::Array(coords)])
})
.collect();
serde_json::json!({ "type": "MultiPolygon", "coordinates": polys })
};
info!(postcode = %normalized, "GET /api/postcode/{postcode}");
Ok(Json(PostcodeLookupResponse {
postcode: normalized,
latitude: lat as f64,
longitude: lon as f64,
vertices,
}))
Ok(Json(serde_json::json!({
"postcode": normalized,
"latitude": lat as f64,
"longitude": lon as f64,
"geometry": geometry,
})))
} else {
Err(StatusCode::NOT_FOUND)
}