bvandeusen
230b542015
- Rename package fablednetmon → fabledscryer throughout - Multi-dashboard: ownership, per-user defaults, HTMX edit (add/remove/reorder) - Read-only share tokens scoped to individual dashboards - Dashboard edit is HTMX-driven (no page reloads) - Plugin management system: remote catalog, download/install, hot-reload, in-app restart - plugin_index.py: fetch/cache remote index.yaml; default URL → bvandeusen/fabledscryer-plugins - plugin_manager.py: download_and_install_plugin, hot_reload_plugin, restart_app - ZIP extraction handles GitHub archive formats (name-v1.0.0/, name-main/) - Settings split into tabbed sections: General, Notifications, Ansible, Plugins - Plugins tab: catalog browser (HTMX), install/activate/update/restart actions - UI/branding: dark palette (#07071a), crystal ball SVG logo, animated star field, Libertinus Serif applied to headings, nav, labels, and section titles - Widget registry (core/widgets.py) for dashboard plugin integration - UPS widget.html (dashboard card) and settings/_tabs.html include - Migrations 0005–0008: dashboards, is_default, ownership, share tokens - docs/plugins/: writing-a-plugin.md updated with publishing guide, index.yaml.example template for fabledscryer-plugins repo Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
45 lines
1.4 KiB
Python
45 lines
1.4 KiB
Python
# fabledscryer/core/time_range.py
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"""Shared time-range utilities for scoping queries and sparkline data."""
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from __future__ import annotations
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from datetime import datetime, timedelta, timezone
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from typing import TypeVar
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RANGES: dict[str, timedelta] = {
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"1h": timedelta(hours=1),
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"6h": timedelta(hours=6),
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"24h": timedelta(hours=24),
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"7d": timedelta(days=7),
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"30d": timedelta(days=30),
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}
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RANGE_OPTIONS: list[str] = list(RANGES.keys())
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DEFAULT_RANGE = "24h"
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def parse_range(range_str: str | None) -> tuple[datetime, str]:
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"""Return (since_datetime, range_key) from a query-param string like '24h'."""
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key = range_str if range_str in RANGES else DEFAULT_RANGE
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since = datetime.now(timezone.utc) - RANGES[key]
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return since, key
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def bucket_seconds(since: datetime, target_points: int = 80) -> int:
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"""Return bucket width in seconds so that (now - since) / width ≈ target_points.
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Minimum is 60s (one poll interval) so raw data is never re-averaged below
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the collection resolution.
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"""
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range_secs = (datetime.now(timezone.utc) - since).total_seconds()
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return max(60, int(range_secs / target_points))
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T = TypeVar("T")
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def subsample(seq: list[T], n: int = 80) -> list[T]:
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"""Return at most n evenly-distributed elements from seq (preserves order)."""
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if len(seq) <= n:
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return seq
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indices = sorted({int(round(i * (len(seq) - 1) / (n - 1))) for i in range(n)})
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return [seq[i] for i in indices]
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