diff --git a/crawler/.gitignore b/crawler/.gitignore new file mode 100644 index 0000000..10e00f3 --- /dev/null +++ b/crawler/.gitignore @@ -0,0 +1 @@ +data/rs diff --git a/crawler/1_dump_listings.py b/crawler/1_dump_listings.py new file mode 100644 index 0000000..80e79b2 --- /dev/null +++ b/crawler/1_dump_listings.py @@ -0,0 +1,22 @@ +from rec.query import listing_query +import pathlib +import json + +d = listing_query(1, 1, 2, 15, 0, 800000) +folder = pathlib.Path("data/rs/") + +for i in range(1, 10000): + try: + print(f"page {i}") + d = listing_query(i, 1, 2, 15, 0, 800000) + except: + break + + for property in d['properties']: + identifier = property['identifier'] + listing_folder = folder / str(identifier) + listing_folder.mkdir(exist_ok=True, parents=True) + listing_path = listing_folder / f"listing.json" + with open(listing_path, 'w') as f: + json.dump(property, f) + diff --git a/crawler/2_dump_detail.py b/crawler/2_dump_detail.py new file mode 100644 index 0000000..22b61af --- /dev/null +++ b/crawler/2_dump_detail.py @@ -0,0 +1,25 @@ +import pathlib +import json +from rec.query import detail_query + +folder = pathlib.Path('data/rs/') +listings = folder.glob('*/listing.json') + +for listing_path in listings: + with open(listing_path) as f: + listing = json.load(f) + identifier = listing['identifier'] + try: + d = detail_query(identifier) + except: + print('Failed at: ', identifier) + raise + print(identifier) + + detail_path = pathlib.Path(f'data/rs/{identifier}/detail.json') + with open(detail_path, 'w') as f: + json.dump(d, f) + + + + diff --git a/crawler/3_dump_images.py b/crawler/3_dump_images.py new file mode 100644 index 0000000..7a8a2c6 --- /dev/null +++ b/crawler/3_dump_images.py @@ -0,0 +1,42 @@ +import pathlib +import json +from urllib.request import urlretrieve +from tqdm import tqdm + +folder = pathlib.Path('data/rs/') +details = folder.glob('*/detail.json') + +for detail_path in tqdm(list(details)): + + with open(detail_path) as f: + detail = json.load(f) + + identifier = detail['property']['identifier'] + rsfolder = folder / str(identifier) + + + for photo in detail['property']['photos']: + url = photo['maxSizeUrl'] + picname = url.split('/')[-1] + order = photo['order'] + filename = f'{order}_{picname}' + fullpicpath = rsfolder / 'pics' / filename + if fullpicpath.exists(): + continue + fullpicpath.parent.mkdir(parents=True, exist_ok=True) # create the 'pics' folder + tqdm.write(str(fullpicpath)) + urlretrieve(url, fullpicpath) + + for photo in detail['property']['floorplans']: + url = photo['url'] + picname = url.split('/')[-1] + order = photo['order'] + filename = f'{order}_{picname}' + fullpicpath = rsfolder / 'floorplans' / filename + if fullpicpath.exists(): + continue + fullpicpath.parent.mkdir(parents=True, exist_ok=True) # create the 'floorplans' folder + tqdm.write(str(fullpicpath)) + urlretrieve(url, fullpicpath) + + \ No newline at end of file diff --git a/crawler/4_detect_floorplan.py b/crawler/4_detect_floorplan.py new file mode 100644 index 0000000..5715916 --- /dev/null +++ b/crawler/4_detect_floorplan.py @@ -0,0 +1,7 @@ +from data_access import Listing +from tqdm import tqdm + +listings = Listing.get_all_listings() + +for listing in tqdm(listings): + tqdm.write(listing.calculate_sqm()) diff --git a/crawler/data_access.py b/crawler/data_access.py new file mode 100644 index 0000000..0a974f5 --- /dev/null +++ b/crawler/data_access.py @@ -0,0 +1,86 @@ +from dataclasses import dataclass +import json +import pathlib +from typing import List +from rec import floorplan + +_DATA_DIR = pathlib.Path('data/rs/') + +@dataclass() +class Listing(): + identifier: int + + @staticmethod + def get_all_listings() -> List['Listing']: + listing_paths = sorted(list(_DATA_DIR.glob('*/listing.json'))) + identifiers = [] + for listing_path in listing_paths: + with open(listing_path) as f: + d = json.load(f) + identifiers.append(Listing(d['identifier'])) + + return identifiers + + def path_listing(self) -> pathlib.Path: + return _DATA_DIR / str(self.identifier) + + def path_listing_json(self) -> pathlib.Path: + return self.path_listing() / 'listing.json' + + def path_detail_json(self) -> pathlib.Path: + return self.path_listing() / 'detail.json' + + def path_floorplan_json(self) -> pathlib.Path: + return self.path_listing() / 'floorplan.json' + + def path_pic_folder(self) -> pathlib.Path: + return self.path_listing() / 'pics' + + def path_pic_folder(self, order, name) -> pathlib.Path: + return self.path_pic_folder() / f'{order}_{name}' + + + def path_floorplan_folder(self) -> pathlib.Path: + return self.path_listing() / 'floorplans' + + def path_floorplan_file(self, order, name) -> pathlib.Path: + return self.path_pic_folder() / f'{order}_{name}' + + def list_floorplans(self): + images = list(self.path_floorplan_folder().glob('*')) + # todo add check if return is image + return images + + def calculate_sqm(self): + objs = [] + for floorplan_path in self.list_floorplans(): + estimated_sqm, model_output, predictions = floorplan.calculate(floorplan_path) + objs.append({ + 'floorplan_path': floorplan_path, + 'estimated_sqm': estimated_sqm, + 'model_output': model_output, + 'no_predictions': len(predictions) # cant serialize the predictions itself since its a tensor + }) + + with open(self.path_floorplan_json(), 'w') as f: + json.dump(objs, f) + + max_sqm = max([o['estimated_sqm'] for o in objs if o is None]) # filter out Nones + return max_sqm + + @property + def sqm(self, recalculate=True): + if recalculate and not self.path_floorplan_json().exists(): + self.calculate_sqm() + + with open(self.path_floorplan_json()) as f: + objs = json.load(f) + + max_sqm = max([o['estimated_sqm'] for o in objs if o is None]) # filter out Nones + return max_sqm + + + +if __name__ == '__main__': + listings = Listing.get_all_listings() + print(listings[0].list_floorplans()) \ No newline at end of file diff --git a/crawler/poetry.lock 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940ea0b..a535095 100644 --- a/crawler/pyproject.toml +++ b/crawler/pyproject.toml @@ -5,11 +5,16 @@ description = "" authors = ["Kadir Tugan "] [tool.poetry.dependencies] -python = ">3.8" +python = ">3.11" SQLAlchemy = "^2.0.23" requests = "^2.31.0" cachetools = "^5.3.2" diskcache = "^5.6.3" +tqdm = "^4.66.2" +pillow = "^10.2.0" +torch = "^2.2.1" +numpy = "^1.26.4" +transformers = "^4.38.2" [tool.poetry.dev-dependencies] diff --git a/crawler/rec/floorplan.py b/crawler/rec/floorplan.py new file mode 100644 index 0000000..74d086c --- /dev/null +++ b/crawler/rec/floorplan.py @@ -0,0 +1,30 @@ +import re +from PIL import Image +from transformers import Pix2StructProcessor, Pix2StructForConditionalGeneration + +def inference(image_path): + image = Image.open(image_path) + question = "How many living rooms are displayed on this floor plan?" # not sure if it even has an effect + processor = Pix2StructProcessor.from_pretrained('google/deplot') + model = Pix2StructForConditionalGeneration.from_pretrained('google/deplot') + + inputs = processor(images=image, text=question, return_tensors="pt") + predictions = model.generate(**inputs, max_new_tokens=512) + output = processor.decode(predictions[0], skip_special_tokens=True) + + return output, predictions + + +def extract_total_sqm(deplot_input_str): + sqmregex = r'(\d+\.\d*) ?(sqm|sq.m|sq m|m)' + matches = re.findall(sqmregex, deplot_input_str.lower()) + if len(matches) == 0: + return None + sqms = [float(m[0]) for m in matches] + return max(sqms) + + +def calculate(image_path): + output, predictions_tensor = inference(image_path) + estimated_sqm = extract_total_sqm() + return estimated_sqm, output, predictions_tensor diff --git a/crawler/rec/query.py b/crawler/rec/query.py index 321d94b..657fe76 100644 --- a/crawler/rec/query.py +++ b/crawler/rec/query.py @@ -30,8 +30,7 @@ def detail_query(detail_id: int): # @cache.memoize() -def listing_query(page: int, min_bedrooms: int, max_bedrooms: int, radius: float, min_price: int, max_price: int): - print("Querying") +def listing_query(page: int, min_bedrooms: int, max_bedrooms: int, radius: float, min_price: int, max_price: int) -> dict: params = { "locationIdentifier": "POSTCODE^4228216", "channel": "BUY", diff --git a/vqa/Untitled.ipynb b/vqa/Untitled.ipynb index dbb2ee5..0e558a7 100644 --- a/vqa/Untitled.ipynb +++ b/vqa/Untitled.ipynb @@ -24,7 +24,8 @@ "source": [ "from transformers import Pix2StructProcessor, Pix2StructForConditionalGeneration\n", "from PIL import Image\n", - "import pandas as pd" + "import pandas as pd\n", + "import re" ] }, { @@ -34,7 +35,8 @@ "metadata": {}, "outputs": [], "source": [ - "image = Image.open(\"floorplans/46001_32532509_FLP_00_0000.jpeg\")\n", + "# image = Image.open(\"floorplans/46001_32532509_FLP_00_0000.jpeg\")\n", + "image = Image.open(\"/Users/kadir/code/realestate/crawler/data/floorplans/15508_EnfieldRd_FLP_02_0000.jpg\")\n", "question = \"How many living rooms are displayed on this floor plan?\"" ] }, @@ -60,7 +62,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 4, "id": "ea990e1f-a660-4efb-be48-d095ab05b50d", "metadata": { "editable": true, @@ -74,7 +76,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "TITLE | <0x0A> Fifth Floor<0x0A>Floor Area 642 Sq Ft - 59.64 Sq M | LUX<0x0A>Floor Area 642 Sq Ft - 59.64 Sq M<0x0A>Reception Room<0x0A>1210×1210<0x0A>3.9×3.9m | 12.10×1210<0x0A>Reception Room<0x0A>3.9×3.9m | 12.10×1210<0x0A>Balcony<0x0A>1.5×4.5′ | 1.5×4.5 <0x0A> Bathroom<0x0A>131°×102°<0x0A>4.0×3.1m | 1.40×2.7m | 1.40×2.7m <0x0A> Kitchen<0x0A>102°×710°<0x0A>3.1×2.4m | 1.10×3.1m | 1.00×3.1m <0x0A> Bedroom<0x0A>131°×810<0x0A>4.0×2.7m | 1.00×3.1m | 1.00×3.1m <0x0A> Kitchen<0x0A>102°×710<0x0A>3.1×2.4m | 1.00×3.1m | 1.00×3.1m <0x0A> Reception Room<0x0A>1210×1210<0x0A>3.9×3.9m | 1.50×4.5 | 1.00×3.5m <0x0A> Balcony<0x0A>1.5×4.5 | 1.50×4.5 | 1.00×3.5m\n" + "TITLE | Approx. Gross Internal Area *<0x0A>636 Ft * - 59.08 M *<0x0A>First Floor | Store<0x0A>Reception<0x0A>Room<0x0A>16'8\" x 129\"<0x0A>5.08 x 3.89m | 1<0x0A>Reception<0x0A>Room<0x0A>16'8\" x 129\"<0x0A>5.08 x 3.89m | 1<0x0A>Reception<0x0A>Room<0x0A>16'8\" x 129\"<0x0A>5.08 x 3.89m | 1<0x0A>Reception<0x0A>Room<0x0A>16'8\" x 129\"<0x0A>5.08 x 3.89m | 1\n" ] } ], @@ -85,47 +87,52 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 6, "id": "b4a8b5fb-7cc5-441d-ad60-cff7c03a103e", "metadata": {}, "outputs": [ { - "name": "stdout", - "output_type": "stream", - "text": [ - "TITLE | \n", - " Fifth Floor\n", - "Floor Area 642 Sq Ft - 59.64 Sq M | LUX\n", - "Floor Area 642 Sq Ft - 59.64 Sq M\n", - "Reception Room\n", - "1210×1210\n", - "3.9×3.9m | 12.10×1210\n", - "Reception Room\n", - "3.9×3.9m | 12.10×1210\n", - "Balcony\n", - "1.5×4.5′ | 1.5×4.5 \n", - " Bathroom\n", - "131°×102°\n", - "4.0×3.1m | 1.40×2.7m | 1.40×2.7m \n", - " Kitchen\n", - "102°×710°\n", - "3.1×2.4m | 1.10×3.1m | 1.00×3.1m \n", - " Bedroom\n", - "131°×810\n", - "4.0×2.7m | 1.00×3.1m | 1.00×3.1m \n", - " Kitchen\n", - "102°×710\n", - "3.1×2.4m | 1.00×3.1m | 1.00×3.1m \n", - " Reception Room\n", - "1210×1210\n", - "3.9×3.9m | 1.50×4.5 | 1.00×3.5m \n", - " Balcony\n", - "1.5×4.5 | 1.50×4.5 | 1.00×3.5m\n" + "data": { + "text/plain": [ + "59.08" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "def extract_total_sqm(deplot_input_str):\n", + " sqmregex = r'(\\d+\\.\\d*) ?(sqm|sq.m|sq m|m)'\n", + " matches = re.findall(sqmregex, deplot_input_str.lower())\n", + " sqms = [float(m[0]) for m in matches]\n", + " # print(sqms)\n", + " return max(sqms)\n", + "\n", + "extract_total_sqm(x)" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "06d50e06-fead-40be-bd9d-7e8207d8df4e", + "metadata": {}, + "outputs": [ + { + "ename": "TypeError", + "evalue": "'>' not supported between instances of 'int' and 'NoneType'", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[16], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[38;5;28;43mmax\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m,\u001b[49m\u001b[38;5;241;43m1\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m)\u001b[49m\n", + "\u001b[0;31mTypeError\u001b[0m: '>' not supported between instances of 'int' and 'NoneType'" ] } ], "source": [ - "x = r'\\d+.\\d*'" + "max([None,1])" ] }, { diff --git a/vqa/floorplans/Untitled.ipynb b/vqa/floorplans/Untitled.ipynb new file mode 100644 index 0000000..d09b788 --- /dev/null +++ b/vqa/floorplans/Untitled.ipynb @@ -0,0 +1,33 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "id": "96658076-0295-4a52-9b82-2083198fbd57", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.0" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +}