217 lines
6.7 KiB
Python
217 lines
6.7 KiB
Python
from dataclasses import dataclass
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import json
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import pathlib
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from typing import List, Dict
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from rec import floorplan, routing
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import re
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_DATA_DIR = pathlib.Path("data/rs/")
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@dataclass()
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class Listing:
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identifier: int
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_cached: Dict = None
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@staticmethod
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def get_all_listings() -> List["Listing"]:
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listing_paths = sorted(list(_DATA_DIR.glob("*/listing.json")))
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identifiers = []
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for listing_path in listing_paths:
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with open(listing_path) as f:
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d = json.load(f)
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identifiers.append(Listing(d["identifier"]))
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return identifiers
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def path_listing(self) -> pathlib.Path:
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p = _DATA_DIR / str(self.identifier)
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p.mkdir(parents=True, exist_ok=True)
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return p
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def path_listing_json(self) -> pathlib.Path:
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return self.path_listing() / "listing.json"
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def path_detail_json(self) -> pathlib.Path:
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return self.path_listing() / "detail.json"
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def path_routing_json(self) -> pathlib.Path:
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return self.path_listing() / "routing.json"
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def path_floorplan_model_json(self) -> pathlib.Path:
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return self.path_listing() / "floorplan_model.json"
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def path_floorplan_ocr_json(self) -> pathlib.Path:
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return self.path_listing() / "floorplan_ocr.json"
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def path_pic_folder(self) -> pathlib.Path:
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return self.path_listing() / "pics"
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def path_pic_file(self, order, name) -> pathlib.Path:
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self.path_pic_folder().mkdir(parents=True, exist_ok=True)
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return self.path_pic_folder() / f"{order}_{name}"
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def path_floorplan_folder(self) -> pathlib.Path:
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return self.path_listing() / "floorplans"
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def path_floorplan_file(self, order, name) -> pathlib.Path:
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self.path_floorplan_folder().mkdir(parents=True, exist_ok=True)
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return self.path_floorplan_folder() / f"{order}_{name}"
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def list_floorplans(self):
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images = list(self.path_floorplan_folder().glob("*"))
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# todo add check if return is image
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return images
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def calculate_sqm_model(self):
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objs = []
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for floorplan_path in self.list_floorplans():
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estimated_sqm, model_output, predictions = floorplan.calculate_model(
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floorplan_path
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)
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objs.append(
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{
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"floorplan_path": str(floorplan_path),
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"estimated_sqm": estimated_sqm,
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"model_output": model_output,
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"no_predictions": len(
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predictions
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), # cant serialize the predictions itself since its a tensor
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}
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)
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with open(self.path_floorplan_model_json(), "w") as f:
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json.dump(objs, f)
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@property
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def sqm_model(self, recalculate=True):
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if not self.path_floorplan_model_json().exists() or recalculate:
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self.calculate_sqm_model()
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with open(self.path_floorplan_json()) as f:
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objs = json.load(f)
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max_sqm = max(
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[o["estimated_sqm"] for o in objs if o is None]
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) # filter out Nones
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return max_sqm
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def calculate_sqm_ocr(self, recalculate=True):
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if not recalculate and self.path_floorplan_ocr_json().exists():
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return
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objs = []
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for floorplan_path in self.list_floorplans():
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estimated_sqm, model_output = floorplan.calculate_ocr(floorplan_path)
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objs.append(
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{
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"floorplan_path": str(floorplan_path),
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"estimated_sqm": estimated_sqm,
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"text": model_output,
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}
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)
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with open(self.path_floorplan_ocr_json(), "w") as f:
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json.dump(objs, f)
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@property
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def sqm_ocr(self, recalculate=False):
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if not self.path_floorplan_ocr_json().exists() or recalculate:
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self.calculate_sqm_ocr()
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with open(self.path_floorplan_ocr_json()) as f:
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objs = json.load(f)
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sqms = [o["estimated_sqm"] for o in objs if o["estimated_sqm"] is not None]
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if len(sqms) == 0:
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return None
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max_sqm = max(sqms)
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return max_sqm
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def calculate_route(self, dest_lat: float, dest_lon: float, recalculate=False):
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if self.path_routing_json().exists() and not recalculate:
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return
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result = routing.transit_route(
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self.latitude, self.longitude, dest_lat, dest_lon
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)
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with open(self.path_routing_json(), "w") as f:
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json.dump(result, f)
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@property
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def travel_time(self) -> List:
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if not self.path_routing_json().exists():
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return []
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with open(self.path_routing_json()) as f:
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d = json.load(f)
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return routing.extract_time(d)
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@property
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def url(self):
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return f"https://www.rightmove.co.uk/properties/{self.identifier}"
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@property
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def detailobject(self):
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if self._cached is None:
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with open(self.path_detail_json()) as f:
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self._cached = json.load(f)
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return self._cached
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@property
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def price(self) -> float:
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return self.detailobject["property"]["price"]
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@property
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def price_per_sqm(self) -> float:
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if self.sqm_ocr is None or self.sqm_ocr == 0:
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return None
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return self.price / self.sqm_ocr
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@property
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def bedrooms(self) -> int:
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return self.detailobject["property"]["bedrooms"]
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@property
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def latitude(self) -> float:
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return self.detailobject["property"]["latitude"]
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@property
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def longitude(self) -> float:
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return self.detailobject["property"]["longitude"]
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@property
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def leaseLeft(self) -> int:
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ds = self.detailobject["property"].get("tenureInfo", {}).get("content", [])
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for d in ds:
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if d["type"] == "lengthOfLease":
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matches = re.findall(r"(\d+\.?\d*)", d["value"])
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if len(matches):
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return float(matches[0])
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return None
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@property
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def development(self) -> bool:
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# aka new home
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return self.detailobject["property"]["development"]
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def dict_nicely(self):
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return {
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"identifier": self.identifier,
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"sqm_ocr": self.sqm_ocr,
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"price": self.price,
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"price_per_sqm": self.price_per_sqm,
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"url": self.url,
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"bedrooms": self.bedrooms,
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"travel_time_fastest": self.travel_time[0],
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"travel_time_second": None
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if len(self.travel_time) < 2
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else self.travel_time[1],
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"lease_left": self.leaseLeft,
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"development": self.development,
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}
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if __name__ == "__main__":
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listings = Listing.get_all_listings()
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print(listings[0].list_floorplans())
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