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Python

"""Read/write segments and segment efforts to/from /var/bincio."""
from __future__ import annotations
import hashlib
import json
import re
from datetime import datetime, timezone
from pathlib import Path
from typing import Optional
from bincio.segments.models import Segment, SegmentEffort
# /var/bincio/segments/{id}.json
_SEGMENTS_DIR = "segments"
# /var/bincio/data/{handle}/segment_efforts/{segment_id}.json
_EFFORTS_SUBDIR = "segment_efforts"
# ── helpers ───────────────────────────────────────────────────────────────────
def _segments_dir(data_dir: Path) -> Path:
d = data_dir / _SEGMENTS_DIR
d.mkdir(parents=True, exist_ok=True)
return d
def _efforts_dir(data_dir: Path, handle: str) -> Path:
d = data_dir / handle / _EFFORTS_SUBDIR
d.mkdir(parents=True, exist_ok=True)
return d
def _slugify(name: str) -> str:
s = name.lower().strip()
s = re.sub(r"[^a-z0-9]+", "-", s)
return s.strip("-")[:48]
def _make_id(name: str) -> str:
slug = _slugify(name)
suffix = hashlib.sha256(name.encode()).hexdigest()[:4]
return f"{slug}-{suffix}"
def _dt(s: str) -> datetime:
return datetime.fromisoformat(s.replace("Z", "+00:00"))
def _iso(dt: datetime) -> str:
return dt.astimezone(timezone.utc).strftime("%Y-%m-%dT%H:%M:%SZ")
# ── serialisation ─────────────────────────────────────────────────────────────
def _segment_to_dict(seg: Segment) -> dict:
return {
"id": seg.id,
"name": seg.name,
"sport": seg.sport,
"polyline": seg.polyline,
"distance_m": round(seg.distance_m, 1),
"bbox": [round(v, 6) for v in seg.bbox],
"created_by": seg.created_by,
"created_at": _iso(seg.created_at),
}
def _segment_from_dict(d: dict) -> Segment:
return Segment(
id=d["id"],
name=d["name"],
sport=d.get("sport"),
polyline=d["polyline"],
distance_m=float(d["distance_m"]),
bbox=d["bbox"],
created_by=d["created_by"],
created_at=_dt(d["created_at"]),
)
def _effort_to_dict(e: SegmentEffort) -> dict:
return {
"activity_id": e.activity_id,
"started_at": _iso(e.started_at),
"elapsed_s": e.elapsed_s,
"avg_speed_kmh": e.avg_speed_kmh,
"avg_hr_bpm": e.avg_hr_bpm,
"avg_power_w": e.avg_power_w,
"np_power_w": e.np_power_w,
"detected_at": _iso(e.detected_at),
}
def _effort_from_dict(d: dict) -> SegmentEffort:
return SegmentEffort(
activity_id=d["activity_id"],
started_at=_dt(d["started_at"]),
elapsed_s=int(d["elapsed_s"]),
avg_speed_kmh=d.get("avg_speed_kmh"),
avg_hr_bpm=d.get("avg_hr_bpm"),
avg_power_w=d.get("avg_power_w"),
np_power_w=d.get("np_power_w"),
detected_at=_dt(d["detected_at"]),
)
# ── public API ────────────────────────────────────────────────────────────────
def make_segment_id(name: str) -> str:
return _make_id(name)
def save_segment(data_dir: Path, seg: Segment) -> None:
path = _segments_dir(data_dir) / f"{seg.id}.json"
path.write_text(json.dumps(_segment_to_dict(seg), ensure_ascii=False, indent=2), encoding="utf-8")
def load_segment(data_dir: Path, segment_id: str) -> Optional[Segment]:
path = _segments_dir(data_dir) / f"{segment_id}.json"
if not path.exists():
return None
return _segment_from_dict(json.loads(path.read_text(encoding="utf-8")))
def delete_segment(data_dir: Path, segment_id: str) -> bool:
path = _segments_dir(data_dir) / f"{segment_id}.json"
if not path.exists():
return False
path.unlink()
return True
def list_segments(data_dir: Path, bbox: Optional[list[float]] = None) -> list[Segment]:
"""Return all segments, optionally filtered to those overlapping bbox.
bbox = [lon_min, lat_min, lon_max, lat_max]
"""
segs = []
for path in sorted(_segments_dir(data_dir).glob("*.json")):
try:
seg = _segment_from_dict(json.loads(path.read_text(encoding="utf-8")))
except Exception:
continue
if bbox is not None and not _bboxes_overlap(seg.bbox, bbox):
continue
segs.append(seg)
return segs
def _bboxes_overlap(a: list[float], b: list[float]) -> bool:
"""True if two [lon_min, lat_min, lon_max, lat_max] boxes overlap."""
return not (a[2] < b[0] or b[2] < a[0] or a[3] < b[1] or b[3] < a[1])
# ── efforts ───────────────────────────────────────────────────────────────────
def load_efforts(data_dir: Path, handle: str, segment_id: str) -> list[SegmentEffort]:
path = _efforts_dir(data_dir, handle) / f"{segment_id}.json"
if not path.exists():
return []
try:
return [_effort_from_dict(d) for d in json.loads(path.read_text(encoding="utf-8"))]
except Exception:
return []
def save_efforts(data_dir: Path, handle: str, segment_id: str, efforts: list[SegmentEffort]) -> None:
path = _efforts_dir(data_dir, handle) / f"{segment_id}.json"
data = [_effort_to_dict(e) for e in efforts]
path.write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
def add_effort(data_dir: Path, handle: str, segment_id: str, effort: SegmentEffort) -> None:
"""Append an effort, replacing any existing effort at the same start time.
Deduplicating by started_at (not activity_id) handles the case where the
same ride is stored under two activity IDs (e.g. re-imported with a different
source hash), which would otherwise produce two identical-time efforts.
"""
efforts = load_efforts(data_dir, handle, segment_id)
key = _iso(effort.started_at)
efforts = [e for e in efforts if _iso(e.started_at) != key]
efforts.append(effort)
efforts.sort(key=lambda e: e.started_at, reverse=True)
save_efforts(data_dir, handle, segment_id, efforts)