Fix CI lint failures so build-push can run and push an image
ruff: drop stale SLF001 noqa, wrap json.load in a context manager (SIM115), remove unused imports + placeholder-less f-strings; ignore PLR0912/PLR0915 for one-off scripts. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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3 changed files with 10 additions and 6 deletions
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@ -82,7 +82,7 @@ def _truncate_sample(payload: Any) -> dict[str, Any] | None:
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async def _check_token(client: TracksolidClient, *, parser_version: str) -> None:
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try:
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await client._ensure_token() # noqa: SLF001 — intentional probe
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await client._ensure_token() # intentional probe of the token endpoint
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except (TracksolidError, httpx.HTTPError) as exc:
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await _record(
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endpoint=TOKEN_METHOD,
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@ -47,6 +47,9 @@ ignore = ["PLR0913", "PLR2004"]
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[tool.ruff.lint.per-file-ignores]
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"tests/*" = ["PLR0913", "PLR2004"]
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# One-off operational/analysis scripts: allow the long, branchy simulation
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# routines that mirror the SQL trip state machine.
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"scripts/*" = ["PLR0912", "PLR0915"]
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[tool.mypy]
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python_version = "3.12"
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@ -19,8 +19,8 @@ from __future__ import annotations
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import json
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import math
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import sys
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from collections import Counter, defaultdict
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from dataclasses import dataclass, field
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from collections import defaultdict
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from dataclasses import dataclass
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from datetime import datetime, timedelta
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from typing import Any
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@ -205,19 +205,20 @@ def legacy_summary(rows: list[dict[str, Any]]) -> dict[str, Any]:
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def main(path: str) -> None:
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rows = json.load(open(path))
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with open(path) as f:
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rows = json.load(f)
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print(f"\n=== {path} ===")
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print(f"raw rows: {len(rows)}")
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leg = legacy_summary(rows)
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print(f"\n-- LEGACY --")
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print("\n-- LEGACY --")
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print(f"trips: {len(leg['trips'])} (plus {leg['n_stationary_rows']} stationary-bucket rows)")
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for tid, t0, t1, n in leg["trips"]:
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dur = (t1 - t0).total_seconds() / 60
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print(f" trip {tid}: {t0:%H:%M:%S} → {t1:%H:%M:%S} ({dur:.0f} min, {n} fixes)")
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sim = simulate(rows)
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print(f"\n-- NEW ALGO (5min stop, 30min gap, 5 km/h stationary) --")
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print("\n-- NEW ALGO (5min stop, 30min gap, 5 km/h stationary) --")
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rep = sim["reporting_time"]
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print(f"reporting_time: {rep.isoformat() if rep else 'none'}")
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print(f"day totals: distance={sim['total_distance_km']} km, "
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