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v0.7.0: performance hardening — parallel fetches, deferred icons, AIS stability

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Optimizations:
- Parallelized yfinance stock/oil fetches via ThreadPoolExecutor (~2s vs ~8s)
- AIS backoff reset after 200 successes; removed hot-loop pruning (lock contention)
- Single-pass ETag serialization (was double-serializing JSON)
- Deferred ~50 non-critical map icons via setTimeout(0)
- News feed animation capped at 15 items (was 100+ simultaneous)
- heapq.nlargest() for FIRMS fires (60K→5K) and internet outages
- Removed satellite duplication from fast endpoint
- Geopolitics interval 5min → 30min
- Ship counts single-pass memoized; color maps module-level constants
- Improved GDELT URL-to-headline extraction (skip gibberish slugs)

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

Former-commit-id: 4a14a2f078
This commit is contained in:
anoracleofra-code
2026-03-11 06:25:31 -06:00
co-authored by Claude Opus 4.6
parent 10f376d4d7
commit cf68f1978d
8 changed files with 511 additions and 221 deletions
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frontend/src/components/WorldviewLeftPanel.tsx
+14 -5
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@@ -1,6 +1,6 @@
"use client";
import React, { useState, useEffect, useRef } from "react";
import React, { useState, useEffect, useRef, useMemo } from "react";
import { motion, AnimatePresence } from "framer-motion";
import { Plane, AlertTriangle, Activity, Satellite, Cctv, ChevronDown, ChevronUp, Ship, Eye, Anchor, Settings, Sun, Moon, BookOpen, Radio, Play, Pause, Globe, Flame, Wifi, Server } from "lucide-react";
import { useTheme } from "@/lib/ThemeContext";
@@ -70,10 +70,19 @@ const WorldviewLeftPanel = React.memo(function WorldviewLeftPanel({ data, active
return () => { if (gibsIntervalRef.current) clearInterval(gibsIntervalRef.current); };
}, [gibsPlaying, gibsDate, setGibsDate]);
// Compute ship category counts
const importantShipCount = data?.ships?.filter((s: any) => ['carrier', 'military_vessel', 'tanker', 'cargo'].includes(s.type))?.length || 0;
const passengerShipCount = data?.ships?.filter((s: any) => s.type === 'passenger')?.length || 0;
const civilianShipCount = data?.ships?.filter((s: any) => !['carrier', 'military_vessel', 'tanker', 'cargo', 'passenger'].includes(s.type))?.length || 0;
// Compute ship category counts (memoized — ships array can be 1000+ items)
const { importantShipCount, passengerShipCount, civilianShipCount } = useMemo(() => {
const ships = data?.ships;
if (!ships || !ships.length) return { importantShipCount: 0, passengerShipCount: 0, civilianShipCount: 0 };
let important = 0, passenger = 0, civilian = 0;
for (const s of ships) {
const t = s.type;
if (t === 'carrier' || t === 'military_vessel' || t === 'tanker' || t === 'cargo') important++;
else if (t === 'passenger') passenger++;
else civilian++;
}
return { importantShipCount: important, passengerShipCount: passenger, civilianShipCount: civilian };
}, [data?.ships]);
const layers = [
{ id: "flights", name: "Commercial Flights", source: "adsb.lol", count: data?.commercial_flights?.length || 0, icon: Plane },