76 lines
2.5 KiB
Python
76 lines
2.5 KiB
Python
"""
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Extracts semantic location history using google_takeout_parser
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"""
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# This is a separate module to prevent ImportError and a new config block from breaking
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# previously functional my.location.google_takeout locations
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REQUIRES = ["git+https://github.com/seanbreckenridge/google_takeout_parser"]
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from typing import Iterator, List
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from my.google.takeout.parser import events, _cachew_depends_on as _parser_cachew_depends_on
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from google_takeout_parser.models import PlaceVisit as SemanticLocation
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from my.core import dataclass, make_config
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from my.core.common import mcachew, LazyLogger, Stats
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from my.core.error import Res
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from .common import Location
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logger = LazyLogger(__name__)
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from my.config import location as user_config
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@dataclass
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class semantic_locations_config(user_config.google_takeout_semantic):
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# a value between 0 and 100, 100 being the most confident
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# set to 0 to include all locations
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# https://locationhistoryformat.com/reference/semantic/#/$defs/placeVisit/properties/locationConfidence
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require_confidence: int = 40
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# default accuracy for semantic locations
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accuracy: float = 100.0
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config = make_config(semantic_locations_config)
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# add config to cachew dependency so it recomputes on config changes
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def _cachew_depends_on() -> List[str]:
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dep = _parser_cachew_depends_on()
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dep.insert(0, f"require_confidence={config.require_confidence} accuracy={config.accuracy}")
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return dep
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@mcachew(
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depends_on=_cachew_depends_on,
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logger=logger,
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)
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def locations() -> Iterator[Res[Location]]:
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require_confidence = config.require_confidence
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if require_confidence < 0 or require_confidence > 100:
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yield ValueError("location.google_takeout.semantic_require_confidence must be between 0 and 100")
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return
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for g in events():
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if isinstance(g, SemanticLocation):
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if g.visitConfidence < require_confidence:
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logger.debug(f"Skipping {g} due to low confidence ({g.visitConfidence}))")
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continue
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yield Location(
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lon=g.lng,
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lat=g.lat,
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dt=g.dt,
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# can accuracy be inferred from visitConfidence?
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# there's no exact distance value in the data, its a 0-100% confidence value...
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accuracy=config.accuracy,
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elevation=None,
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datasource="google_takeout_semantic",
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)
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def stats() -> Stats:
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from my.core import stat
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return {**stat(locations)}
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