56 lines
2.0 KiB
Python
56 lines
2.0 KiB
Python
"""Import metadata from Strava's activities.csv bulk export.
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Strava export columns we care about:
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Activity ID, Activity Date, Activity Name, Activity Type,
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Activity Description, Filename
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"""
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import csv
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import re
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from pathlib import Path
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from typing import Optional
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_STRAVA_DATE_FMTS = (
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"%b %d, %Y, %I:%M:%S %p", # "Jun 1, 2024, 7:30:12 AM"
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"%Y-%m-%d %H:%M:%S",
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)
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class StravaMetadata:
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"""Maps original filename → Strava metadata."""
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def __init__(self, csv_path: Path) -> None:
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self._by_filename: dict[str, dict] = {}
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self._load(csv_path)
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def _load(self, path: Path) -> None:
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with path.open(newline="", encoding="utf-8-sig") as f:
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reader = csv.DictReader(f)
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for row in reader:
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filename = row.get("Filename", "").strip()
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if not filename:
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continue
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# Strava stores paths like "activities/12345.fit.gz"
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basename = Path(filename).name
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self._by_filename[basename] = row
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def lookup(self, source_file: str) -> Optional[dict]:
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"""Return the Strava CSV row for a given source filename, or None."""
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return self._by_filename.get(source_file)
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def enrich(self, source_file: str, activity: object) -> None:
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"""Mutate a ParsedActivity with Strava metadata if found."""
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row = self.lookup(source_file)
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if row is None:
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return
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if not activity.title and row.get("Activity Name"): # type: ignore[attr-defined]
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activity.title = row["Activity Name"].strip() # type: ignore[attr-defined]
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if not activity.description and row.get("Activity Description"): # type: ignore[attr-defined]
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activity.description = row["Activity Description"].strip() # type: ignore[attr-defined]
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if not activity.strava_id and row.get("Activity ID"): # type: ignore[attr-defined]
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activity.strava_id = row["Activity ID"].strip() # type: ignore[attr-defined]
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