Files
2026-04-11 08:13:27 +02:00

156 lines
5.3 KiB
Python

"""Import metadata from Strava's activities.csv bulk export.
Strava export columns we care about:
Activity ID, Activity Date, Activity Name, Activity Description, Filename
"""
import csv
import json
import re
from pathlib import Path
from typing import Iterator, Optional
_STRAVA_DATE_FMTS = (
"%b %d, %Y, %I:%M:%S %p", # "Jun 1, 2024, 7:30:12 AM"
"%Y-%m-%d %H:%M:%S",
)
class StravaMetadata:
"""Maps original filename → Strava metadata, with secondary strava_id index."""
def __init__(self, csv_path: Path) -> None:
self._by_filename: dict[str, dict] = {}
self._by_strava_id: dict[str, dict] = {}
self._load(csv_path)
def _load(self, path: Path) -> None:
with path.open(newline="", encoding="utf-8-sig") as f:
reader = csv.DictReader(f)
for row in reader:
filename = row.get("Filename", "").strip()
if filename:
basename = Path(filename).name
self._by_filename[basename] = row
strava_id = row.get("Activity ID", "").strip()
if strava_id:
self._by_strava_id[strava_id] = row
def lookup(self, source_file: str) -> Optional[dict]:
"""Return the Strava CSV row for a given source filename, or None."""
return self._by_filename.get(source_file)
def lookup_by_strava_id(self, strava_id: str) -> Optional[dict]:
"""Return the Strava CSV row for a given Strava activity ID, or None."""
return self._by_strava_id.get(str(strava_id))
def enrich(self, source_file: str, activity: object) -> None:
"""Mutate a ParsedActivity with Strava metadata if found."""
row = self.lookup(source_file)
if row is None:
return
if not activity.title and row.get("Activity Name"): # type: ignore[attr-defined]
activity.title = row["Activity Name"].strip() # type: ignore[attr-defined]
if not activity.description and row.get("Activity Description"): # type: ignore[attr-defined]
activity.description = row["Activity Description"].strip() # type: ignore[attr-defined]
if not activity.strava_id and row.get("Activity ID"): # type: ignore[attr-defined]
activity.strava_id = row["Activity ID"].strip() # type: ignore[attr-defined]
# ── Retroactive sidecar update ────────────────────────────────────────────────
def _parse_sidecar(path: Path) -> tuple[dict, str]:
"""Return (frontmatter_dict, body) from a sidecar .md file."""
import re as _re
import yaml
text = path.read_text(encoding="utf-8")
if text.startswith("---"):
parts = _re.split(r"^---[ \t]*$", text, maxsplit=2, flags=_re.MULTILINE)
if len(parts) >= 3:
fm = yaml.safe_load(parts[1]) or {}
return fm, parts[2].strip()
return {}, text.strip()
def _write_sidecar(path: Path, fm: dict, body: str) -> None:
import yaml
path.parent.mkdir(parents=True, exist_ok=True)
fm_text = yaml.safe_dump(fm, default_flow_style=False, allow_unicode=True).strip()
content = f"---\n{fm_text}\n---\n"
if body:
content += f"\n{body}\n"
path.write_text(content, encoding="utf-8")
def _update_sidecar_from_row(sidecar_path: Path, row: dict) -> bool:
"""Create or update a sidecar with CSV title/description.
Only fills fields that are not already set in the sidecar.
Returns True if anything changed.
"""
title = row.get("Activity Name", "").strip()
description = row.get("Activity Description", "").strip()
if not title and not description:
return False
fm, body = _parse_sidecar(sidecar_path) if sidecar_path.exists() else ({}, "")
changed = False
if title and "title" not in fm:
fm["title"] = title
changed = True
if description and not body:
body = description
changed = True
if not changed:
return False
_write_sidecar(sidecar_path, fm, body)
return True
def apply_csv_to_data_dir(data_dir: Path, metadata: StravaMetadata) -> int:
"""Retroactively apply CSV metadata to existing activities via sidecars.
Scans all activity JSONs in data_dir/activities/. For each activity that
has a strava_id, looks up the corresponding CSV row and creates/updates
the sidecar in data_dir/edits/ with any missing title or description.
Only writes fields not already present in the sidecar — manual edits are
never overwritten.
Returns the count of activities whose sidecars were created or updated.
"""
activities_dir = data_dir / "activities"
edits_dir = data_dir / "edits"
if not activities_dir.exists():
return 0
updated = 0
for json_path in sorted(activities_dir.glob("*.json")):
try:
detail = json.loads(json_path.read_text(encoding="utf-8"))
except Exception:
continue
strava_id = detail.get("strava_id")
if not strava_id:
continue
row = metadata.lookup_by_strava_id(str(strava_id))
if row is None:
continue
activity_id = json_path.stem
sidecar_path = edits_dir / f"{activity_id}.md"
if _update_sidecar_from_row(sidecar_path, row):
updated += 1
return updated