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Feature/spec filter (#276)

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* feat(): create map component, add area filtering to the job config

* feat(): filter listings by area filter

* chore(): cleanup

* feat(): solve feedback

* feat(): solve most providers

* feat(): solve maybe other providers

* feat(): add specFilter config, also add rooms to listing

* feat(): change tests

* feat(): fix kleinanzeigen parser

* feat(): add spec filter switch for listing overviiews

* feat(): add rooms and size to the overview and detail of a listing

* feat(): rem label

* feat(): add types, update providers, they now return specs as numbers

* feat(): add jsonconfig to enable type checks

* feat: add type for prividerConfig, add fieldNames per provider

* feat: fix tests, provider, add formatListing

* chore: remov duplicates

* feat(): fix tests

* feat: fix immoscout

* chore: geojson typing

* feat: solve requested changes
This commit is contained in:
Stephan
2026-04-12 09:17:23 +02:00
committed by GitHub
parent 05f74f99ef
commit 10c94eea0a
49 changed files with 1004 additions and 250 deletions
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22
lib/services/storage/listingsStorage.js
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@@ -174,9 +174,9 @@ export const storeListings = (jobId, providerId, listings) => {
SqliteConnection.withTransaction((db) => {
const stmt = db.prepare(
`INSERT INTO listings (id, hash, provider, job_id, price, size, title, image_url, description, address,
`INSERT INTO listings (id, hash, provider, job_id, price, size, rooms, title, image_url, description, address,
link, created_at, is_active, latitude, longitude)
VALUES (@id, @hash, @provider, @job_id, @price, @size, @title, @image_url, @description, @address, @link,
VALUES (@id, @hash, @provider, @job_id, @price, @size, @rooms, @title, @image_url, @description, @address, @link,
@created_at, 1, @latitude, @longitude)
ON CONFLICT(job_id, hash) DO NOTHING`,
);
@@ -187,8 +187,9 @@ export const storeListings = (jobId, providerId, listings) => {
hash: item.id,
provider: providerId,
job_id: jobId,
price: extractNumber(item.price),
size: extractNumber(item.size),
price: item.price,
size: item.size,
rooms: item.rooms,
title: item.title,
image_url: item.image,
description: item.description,
@@ -202,19 +203,6 @@ export const storeListings = (jobId, providerId, listings) => {
}
});
/**
* Extract the first number from a string like "1.234 €" or "70 m²".
* Removes dots/commas before parsing. Returns null on invalid input.
* @param {string|undefined|null} str
* @returns {number|null}
*/
function extractNumber(str) {
if (!str) return null;
const cleaned = str.replace(/\./g, '').replace(',', '.');
const num = parseFloat(cleaned);
return isNaN(num) ? null : num;
}
/**
* Remove any parentheses segments (including surrounding whitespace) from a string.
* Returns null for empty input.