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import requests
from bs4 import BeautifulSoup
from csv import DictReader
from pathlib import Path
import re
import uuid
import json
import db_upload
import make_embeddings_upload
#TODO this is definitely not efficient as it generates vectors for all the images, not just the ones with geo
# to fix we would somehow copy all the original images in the payloads_non_list into the directory we want to use in the vector making
#TODO there is also repeated code everywhere
# And hard coded values for too many things
image_path = Path("../images_000")
metadata_path = "../train_attribution.csv"
image_names = {}
for path in image_path.rglob('*.*'):
match = re.search('.*(\w{16})\.jpg$', str(path))
image_names[match.group(1)] = path
csvfile = open(metadata_path, "r", encoding='utf-8')
csvlines = DictReader(csvfile)
payloads_non_list = {}
i= 1
for line in csvlines:
if line['id'] in image_names:
try:
page = requests.get(line['url'])
html = BeautifulSoup(page.text, features="html.parser")
our_tag = html.find('a', {"data-style": "osm-intl"})
if our_tag is not None:
if "data-lat" in our_tag.attrs and "data-lon" in our_tag.attrs:
lat = float(our_tag.attrs["data-lat"])
lon = float(our_tag.attrs["data-lon"])
# We have our payload at this point
print("found one " + line['id'] + " : " + line['url'] + " coords: " + str(lat) + ", " + str(lon))
payloads_non_list[line['id']] = {"picture": line['id'], "filename": str(image_names[line['id']]), "url": line['url'], "location": {"lon": lon, "lat": lat}}
except:
print("Threw an exception on: " + line['id'])
csvfile.close()
# Write our payloads out to file
with open('../train_attribution_geo.json', 'w') as out_file:
json.dump(payloads_non_list, out_file, sort_keys=True, indent=4,
ensure_ascii=False)
# now create our vector
vectors_non_list = make_embeddings_upload.get_features()
ids, vectors, payloads = [], [], []
# Put them together - need to do this because of the sorting problem - need to get them to line up
for key, payload in payloads_non_list.items():
payloads.append(payload)
vectors.append(vectors_non_list[key])
ids.append(str(uuid.uuid3(uuid.NAMESPACE_DNS,payload["url"])))
# now insert into the collection
uploader = db_upload.DBUpload(512, "images")
uploader.upsert_vectors(ids, vectors, payloads)
print("finished")
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