Collect from zip; iteratively

This commit is contained in:
Dima Gerasimov 2018-10-20 09:40:43 +01:00
parent 70a09a80ba
commit 96c8c324f3

View file

@ -1,13 +1,21 @@
from typing import NamedTuple, Iterator, List, Iterable, Collection, Sequence
from datetime import datetime
from os import listdir
from os.path import join
from zipfile import ZipFile
import logging
import csv
import re
import json
import geopy.distance # type: ignore
# pip3 install ijson
import ijson # type: ignore
def get_logger():
return logging.getLogger("location")
PATH = "/L/data/location/location.csv"
TAKEOUTS_PATH = "/path/to/takeout"
CACHE_PATH = "/L/.cache/location.cache"
# TODO need to cache?
@ -35,15 +43,14 @@ def tagger(dt: datetime, lat: float, lon: float) -> Tag:
# TODO hope they are sorted...
# TODO that could also serve as basis for timezone provider.
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)
last_takeout = max([f for f in listdir(TAKEOUTS_PATH) if re.match('takeout.*.zip', f)])
jdata = None
with ZipFile(join(TAKEOUTS_PATH, last_takeout)).open('Takeout/Location History/Location History.json') as fo:
for j in ijson.items(fo, 'locations.item'):
# TODO eh, not very streaming?..
dt = datetime.fromtimestamp(int(j["timestampMs"]) / 1000) # TODO utc??
lat = float(j["latitudeE7"] / 10000000)
lon = float(j["longitudeE7"] / 10000000)
tag = tagger(dt, lat, lon)
yield Location(
dt=dt,
@ -65,6 +72,7 @@ class LocInterval(NamedTuple):
from_: Location
to: Location
# TOOD could cache groups too?... using 16% cpu is a bit annoying.. could also use some sliding window here
def get_groups(cached: bool=False) -> List[LocInterval]:
locs = get_locations(cached=cached)
i = 0