HPI/location/__init__.py
Dima Gerasimov 2e0e8ef82a initial
2018-08-30 13:37:52 +01:00

66 lines
1.7 KiB
Python

from typing import NamedTuple, Iterator, List, Iterable
from datetime import datetime
import logging
import csv
import geopy.distance # type: ignore
def get_logger():
return logging.getLogger("location")
PATH = "/L/data/location/location.csv"
CACHE_PATH = "/L/.cache/location.cache"
# TODO need to cache?
# TODO tag??
Tag = str
class Location(NamedTuple):
dt: datetime
lat: float
lon: float
tag: Tag
def tagger(dt: datetime, lat: float, lon: float) -> Tag:
TAGS = [
# removed
]
for coord, dist, tag in TAGS:
if geopy.distance.distance(coord, (lat, lon)).m < dist:
return tag
else:
return "other"
def iter_locations() -> Iterator[Location]:
with open(PATH) as fo:
reader = csv.reader(fo)
next(reader) # skip header
for ll in reader:
[ts, lats, lons] = ll
# TODO hmm, is it local??
dt = datetime.strptime(ts, "%Y-%m-%d %H:%M:%S")
lat = float(lats)
lon = float(lons)
tag = tagger(dt, lat, lon)
yield Location(
dt=dt,
lat=lat,
lon=lon,
tag=tag
)
def get_locations(cached: bool=False) -> Iterable[Location]:
import dill # type: ignore
if cached:
with open(CACHE_PATH, 'rb') as fo:
preph = dill.load(fo)
return [Location(**p._asdict()) for p in preph] # meh. but otherwise it's not serialising methods...
else:
return list(iter_locations())
def update_cache():
import dill # type: ignore
datas = get_locations(cached=False)
with open(CACHE_PATH, 'wb') as fo:
dill.dump(datas, fo)