writing encode fn

This commit is contained in:
Izzy Cole 2025-11-01 15:37:35 +00:00
parent f0da44baf1
commit e8cd8795f1
2 changed files with 39 additions and 2 deletions

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@ -1,6 +1,11 @@
#!/usr/bin/env python
import overpy
import numpy as np
import pandas as pd
import geopy.distance as distance
from tqdm import tqdm
# brandname : overpass query filters
BRANDS: dict[str, str] = {
@ -35,6 +40,35 @@ def fetch_data(brand: str) -> list[tuple[float | None, float | None]]:
def encode(location: tuple[float, float]) -> EncodedLocation:
"""Encode a location."""
print("fetching")
greggs = fetch_data("greggs")
print("fetched")
#greggs = [(55.85,-4.02),(52.443,-1.833),(51.28,-1.0)]
#relative distance matrix
dist_matrix = np.zeros((len(greggs),len(greggs)))
for i in tqdm(range(len(greggs))):
first=greggs[i]
for j in range(len(greggs)):
second=greggs[j]
#calculate the distance between i and j coordinates
#dist_matrix[i,j] = np.sqrt((first[0]-second[0])**2 + (first[1]-second[1])**2 )
dist_matrix[i,j] = distance.distance(distance.lonlat(*first), distance.lonlat(*second)).km*1000
print(dist_matrix)
#find closest greggs
distances = pd.Series(np.zeros(len(greggs)))
for i in range(len(greggs)):
current = greggs[i]
#distances[i] = np.sqrt((current[0]-location[0])**2 + (current[1]-location[1])**2
distances[i] = distance.distance(distance.lonlat(*current), distance.lonlat(*location)).km*1000
print(distances)
distances = distances.sort_values()
top3 = distances.head(3)
print(top3)
# Stub
return [
(5., [1., 2., 3.]),
@ -67,8 +101,8 @@ def parse_location(location: str) -> EncodedLocation:
def main():
"""Testing."""
print("Running query...")
greggs = fetch_data("greggs")
print(f"Query done - got {len(greggs)} Greggs!")
#greggs = fetch_data("greggs")
#print(f"Query done - got {len(greggs)} Greggs!")
print(format_location(encode((0.091659, 52.210796))))

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@ -1,2 +1,5 @@
overpy
django
numpy
pandas
geopy