fukunee
83de329750
Adds scripts/gen_entries_stress.py to produce a large synthetic dataset for performance testing, and notes the texture lazy-loading plan in the README.
115 lines
4.5 KiB
Python
115 lines
4.5 KiB
Python
# -*- coding: utf-8 -*-
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"""生成 1000 条合成词条，用于压力测试。
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与 gen_entries.py 互斥：两者都写 src/data/entries.js，跑哪个就用哪份数据。
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切换回真实数据： python scripts/gen_entries.py
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"""
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import random
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import math
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N = 1000
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random.seed(20240101)
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CATS = ['人', '事', '物']
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SKETCHES = [
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'fossil', 'tablet', 'pyramid', 'figure', 'temple', 'crown', 'colosseum', 'scroll',
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'horseman', 'ship', 'globe', 'apple', 'machine', 'bell', 'tree', 'atom', 'dove', 'rocket',
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'book', 'bridge', 'flag', 'scale', 'sword',
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]
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# 世界主要城市坐标池：制造既分散又带聚集的分布（考验重叠与覆盖）
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CITY_POOL = [
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(39.9, 116.4), (31.2, 121.5), (35.7, 139.7), (37.6, 127.0), (22.3, 114.2),
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(13.8, 100.5), (1.35, 103.8), (-6.2, 106.8), (21.0, 105.8), (28.6, 77.2),
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(19.1, 72.9), (23.8, 90.4), (35.7, 51.4), (33.3, 44.4), (24.7, 46.7),
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(41.0, 29.0), (31.8, 35.2), (30.0, 31.2), (36.8, 3.1), (33.6, -7.6),
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(6.5, 3.4), (9.0, 38.7), (-1.3, 36.8), (-26.2, 28.0), (-33.9, 18.4),
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(51.5, -0.1), (48.9, 2.4), (52.5, 13.4), (41.9, 12.5), (40.4, -3.7),
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(38.7, -9.1), (52.4, 4.9), (50.9, 4.4), (48.2, 16.4), (55.8, 37.6),
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(59.3, 18.1), (50.5, 30.5), (42.7, 23.3), (40.7, -74.0), (34.1, -118.2),
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(41.9, -87.6), (37.8, -122.4), (43.7, -79.4), (19.4, -99.1), (-23.6, -46.6),
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(-22.9, -43.2), (-34.6, -58.4), (-33.4, -70.7), (-12.0, -77.0), (4.7, -74.1),
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(-33.9, 151.2), (-37.8, 145.0), (-36.8, 174.8),
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]
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def fmt_time(tn):
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if tn < 0:
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a = abs(tn)
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if a >= 1000000:
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return f"~ BC {a:,}"
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if a >= 10000:
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return f"~{a:,} BC"
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return f"~{a} BC"
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if tn >= 10000:
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return f"AD {tn:,}"
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return f"AD {tn}"
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def make_year(i):
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# 前 400 条：公元前（对数分布，远古稀疏、近古密集）
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# 后 600 条：公元后（线性分布 1..2022）
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if i < 400:
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u = i / 399.0 # 0..1
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return -int(round(10 ** (u * math.log10(3.2e6))))
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u = (i - 400) / 599.0 # 0..1
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return int(round(1 + u * 2021))
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def esc(s):
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return s.replace("\\", "\\\\").replace("'", "\\'")
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entries = []
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for i in range(N):
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tn = make_year(i)
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cat = CATS[i % 3]
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sketch = SKETCHES[i % len(SKETCHES)]
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# 坐标：60% 落在城市池附近（带抖动），40% 均匀随机，制造聚集 + 分散
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if random.random() < 0.6:
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base = random.choice(CITY_POOL)
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lat = round(base[0] + random.uniform(-0.4, 0.4), 5)
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lng = round(base[1] + random.uniform(-0.4, 0.4), 5)
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else:
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lat = round(random.uniform(-55, 70), 5)
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lng = round(random.uniform(-180, 180), 5)
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region = f"压力测试区 {i + 1:03d}"
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name = f"词条 {i + 1:03d}"
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desc = "这是一条用于压力测试的合成词条，用来检验在大量数据下三维翻页、时间轴与地理视图的渲染和交互性能表现。"
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entries.append((fmt_time(tn), tn, region, name, cat, sketch, lat, lng, desc))
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# 按年份升序排列，保证时间轴（按列表顺序均布）与年代一致
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entries.sort(key=lambda e: e[1])
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lines = ["// 压力测试用合成词条数据（1000 条）",
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"// timeNumeric 用于时间轴排序/定位（公元前为负，公元后为正，单位：年）",
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"",
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"export const CATEGORY_INFO = {",
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" 人: { color: '#a03a2a', en: 'PERSONA' },",
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" 事: { color: '#2c4a6b', en: 'EVENTUS' },",
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" 物: { color: '#3f5c3a', en: 'ARTIFEX' },",
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"};",
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"",
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"export const ENTRIES = ["]
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for i, (time, tn, region, name, cat, sketch, lat, lng, desc) in enumerate(entries, 1):
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lines.append(" {")
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lines.append(f" id: 'No.{i:03d}',")
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lines.append(f" time: '{esc(time)}',")
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lines.append(f" timeNumeric: {tn},")
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lines.append(f" region: '{esc(region)}',")
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lines.append(f" name: '{esc(name)}',")
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lines.append(f" category: '{esc(cat)}',")
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lines.append(f" sketch: '{esc(sketch)}',")
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lines.append(f" lat: {lat}, lng: {lng},")
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lines.append(f" description: '{esc(desc)}',")
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lines.append(" },")
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lines.append("];")
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lines.append("")
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lines.append("// 时间轴横向定位：对称对数映射，远古压缩、近代展开")
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lines.append("export function timelineX(t) {")
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lines.append(" const sign = t >= 0 ? 1 : -1;")
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lines.append(" const mag = Math.log10(1 + Math.abs(t) / 50);")
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lines.append(" return sign * mag * 1.15;")
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lines.append("}")
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with open("src/data/entries.js", "w", encoding="utf-8") as f:
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f.write("\n".join(lines) + "\n")
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print(f"written entries.js with {len(entries)} entries (stress)")
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