my.location.google: cleanup old stuff related to tagging, definitely doesn't belong to this module
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1 changed files with 15 additions and 128 deletions
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@ -1,21 +1,22 @@
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"""
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Location data from Google Takeout
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"""
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REQUIRES = [
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'geopy', # checking that coordinates are valid
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]
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import json
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from collections import deque
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from datetime import datetime, timezone
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from itertools import islice
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from pathlib import Path
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from subprocess import Popen, PIPE
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from typing import Any, Collection, Deque, Iterable, Iterator, List, NamedTuple, Optional, Sequence, IO, Tuple
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from typing import Any, Collection, Iterator, NamedTuple, Optional, Sequence, IO, Tuple
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import re
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# pip3 install geopy
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import geopy # type: ignore
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import geopy.distance # type: ignore
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from ..core.common import get_files, LazyLogger, mcachew
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from ..core.common import LazyLogger, mcachew
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from ..core.cachew import cache_dir
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from ..google.takeout.paths import get_last_takeout
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from ..kython import kompress
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@ -29,15 +30,11 @@ USE_GREP = False
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logger = LazyLogger(__name__)
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Tag = Optional[str]
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# todo maybe don't tag by default?
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class Location(NamedTuple):
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dt: datetime
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lat: float
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lon: float
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alt: Optional[float]
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tag: Tag
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TsLatLon = Tuple[int, int, int]
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@ -86,27 +83,6 @@ def _iter_locations_fo(fit) -> Iterator[Location]:
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total = 0
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errors = 0
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try:
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from my.config.locations import LOCATIONS as known_locations
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except ModuleNotFoundError as e:
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name = 'my.config.locations'
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if e.name != name:
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raise e
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logger.warning("'%s' isn't found. setting known_locations to empty list", name)
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known_locations = []
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# TODO tagging should be takeout-agnostic
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def tagger(dt: datetime, point: geopy.Point) -> Tag:
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'''
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Tag points with known locations (e.g. work/home/etc)
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'''
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for lat, lon, dist, tag in known_locations:
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# TODO use something more efficient?
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if geopy.distance.distance((lat, lon), point).m < dist:
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return tag
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else:
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return None
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for tsMs, latE7, lonE7 in fit:
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dt = datetime.fromtimestamp(tsMs / 1000, tz=timezone.utc)
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total += 1
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@ -122,6 +98,7 @@ def _iter_locations_fo(fit) -> Iterator[Location]:
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logger.exception(e)
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errors += 1
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if float(errors) / total > 0.01:
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# todo make defensive?
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raise RuntimeError('too many errors! aborting')
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else:
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continue
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@ -129,15 +106,11 @@ def _iter_locations_fo(fit) -> Iterator[Location]:
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# todo support later
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# alt = j.get("altitude", None)
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alt = None
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# todo enable tags later
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# tag = tagger(dt, point) # TODO take accuracy into account??
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tag = None
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yield Location(
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dt=dt,
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lat=lat,
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lon=lon,
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alt=alt,
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tag=tag
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)
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@ -145,7 +118,8 @@ _LOCATION_JSON = 'Takeout/Location History/Location History.json'
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# todo if start != 0, disable cache? again this is where nicer caching would come handy
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# TODO hope they are sorted... (could assert for it)
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@mcachew(cache_dir() / 'google_location.cache', logger=logger)
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# todo configure cache automatically?
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@mcachew(cache_dir(), logger=logger)
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def _iter_locations(path: Path, start=0, stop=None) -> Iterator[Location]:
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ctx: IO[str]
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if path.suffix == '.json':
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@ -180,100 +154,13 @@ def locations(**kwargs) -> Iterator[Location]:
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return _iter_locations(path=last_takeout, **kwargs)
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from ..core.common import stat, Stats
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def stats() -> Stats:
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return stat(locations)
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# todo add dataframe
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# todo deprecate?
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def get_locations(*args, **kwargs) -> Sequence[Location]:
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return list(locations(*args, **kwargs))
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class LocInterval(NamedTuple):
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from_: Location
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to: Location
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# TODO use more_itertools
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# TODO kython? nicer interface?
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class Window:
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def __init__(self, it):
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self.it = it
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self.storage: Deque[Any] = deque()
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self.start = 0
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self.end = 0
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# TODO need check for existence?
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def load_to(self, to):
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while to >= self.end:
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try:
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ii = next(self.it)
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self.storage.append(ii)
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self.end += 1
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except StopIteration:
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break
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def exists(self, i):
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self.load_to(i)
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return i < self.end
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def consume_to(self, i):
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self.load_to(i)
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consumed = i - self.start
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self.start = i
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for _ in range(consumed):
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self.storage.popleft()
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def __getitem__(self, i):
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self.load_to(i)
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ii = i - self.start
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assert ii >= 0
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return self.storage[ii]
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# todo cachew as well?
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# TODO maybe if tag is none, we just don't care?
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def get_groups(*args, **kwargs) -> List[LocInterval]:
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all_locations = iter(locations(*args, **kwargs))
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locsi = Window(all_locations)
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i = 0
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groups: List[LocInterval] = []
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curg: List[Location] = []
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def add_to_group(x):
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nonlocal curg
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if len(curg) < 2:
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curg.append(x)
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else:
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curg[-1] = x
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def dump_group():
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nonlocal curg
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if len(curg) > 0:
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# print("new group")
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groups.append(LocInterval(from_=curg[0], to=curg[-1]))
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curg = []
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while locsi.exists(i):
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if i % 10000 == 0:
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logger.debug('grouping item %d', i)
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locsi.consume_to(i)
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last = None if len(curg) == 0 else curg[-1]
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cur = locsi[i]
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j = i
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match = False
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while not match and locsi.exists(j) and j < i + 10: # TODO FIXME time distance here... e.g. half an hour?
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cur = locsi[j]
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if last is None or cur.tag == last.tag:
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# ok
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add_to_group(cur)
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i = j + 1
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match = True
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else:
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j += 1
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# if we made here without advancing
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if not match:
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dump_group()
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i += 1
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else:
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pass
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dump_group()
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return groups
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