c82e1d5a04
## Bug修复详情 ### 1. 致命错误：球面距离计算 (calculateDistance) - 问题：使用勾股定理计算经纬度距离，在球体表面完全错误 - 修复：改用Haversine公式计算球面大圆距离 - 影响：赤道1度=111km，极地1度=19km，原计算误差巨大 ### 2. 经度范围规范化 (vector3ToLatLon) - 问题：Math.atan2返回[-180°,180°]，转换后可能超出标准范围 - 修复：添加while循环规范化到[-180, 180]区间 - 影响：避免本初子午线附近返回360°的异常值 ### 3. 屏幕坐标转换支持非全屏 (screenToEarthCoords) - 问题：假设Canvas永远全屏，非全屏时点击偏移严重 - 修复：新增domElement参数，使用getBoundingClientRect()计算相对坐标 - 影响：嵌入式3D地球组件也能精准拾取 ### 4. 地球旋转时经纬度映射错误 - 问题：Raycaster返回世界坐标，未考虑地球自转 - 修复：使用earth.worldToLocal()转换到本地坐标空间 - 影响：地球旋转时经纬度显示正确跟随 ## 新增功能 - CelesTrak卫星数据采集器 - Space-Track卫星数据采集器 - 卫星可视化模块（500颗，实时SGP4轨道计算） - 海底光缆悬停显示info-card - 统一info-card组件 - 工具栏按钮（Stellarium风格） - 缩放控制（百分比显示） - Docker volume映射（代码热更新） ## 文件变更 - utils.js: 坐标转换核心逻辑修复 - satellites.js: 新增卫星可视化 - cables.js: 悬停交互支持 - main.js: 悬停/锁定逻辑 - controls.js: 工具栏UI - info-card.js: 统一卡片组件 - docker-compose.yml: volume映射 - restart.sh: 简化重启脚本
100 lines
3.5 KiB
Python
100 lines
3.5 KiB
Python
"""CelesTrak TLE Collector
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Collects satellite TLE (Two-Line Element) data from CelesTrak.org.
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Free, no authentication required.
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"""
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import json
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from typing import Dict, Any, List
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import httpx
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from app.services.collectors.base import BaseCollector
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class CelesTrakTLECollector(BaseCollector):
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name = "celestrak_tle"
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priority = "P2"
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module = "L3"
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frequency_hours = 24
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data_type = "satellite_tle"
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@property
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def base_url(self) -> str:
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return "https://celestrak.org/NORAD/elements/gp.php"
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async def fetch(self) -> List[Dict[str, Any]]:
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satellite_groups = [
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"starlink",
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"gps-ops",
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"galileo",
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"glonass",
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"beidou",
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"leo",
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"geo",
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"iridium-next",
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]
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all_satellites = []
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async with httpx.AsyncClient(timeout=120.0) as client:
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for group in satellite_groups:
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try:
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url = f"https://celestrak.org/NORAD/elements/gp.php?GROUP={group}&FORMAT=json"
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response = await client.get(url)
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if response.status_code == 200:
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data = response.json()
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if isinstance(data, list):
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all_satellites.extend(data)
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print(f"CelesTrak: Fetched {len(data)} satellites from group '{group}'")
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except Exception as e:
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print(f"CelesTrak: Error fetching group '{group}': {e}")
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if not all_satellites:
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return self._get_sample_data()
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print(f"CelesTrak: Total satellites fetched: {len(all_satellites)}")
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# Return raw data - base.run() will call transform()
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return all_satellites
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def transform(self, raw_data: List[Dict[str, Any]]) -> List[Dict[str, Any]]:
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transformed = []
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for item in raw_data:
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transformed.append(
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{
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"name": item.get("OBJECT_NAME", "Unknown"),
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"reference_date": item.get("EPOCH", ""),
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"metadata": {
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"norad_cat_id": item.get("NORAD_CAT_ID"),
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"international_designator": item.get("OBJECT_ID"),
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"epoch": item.get("EPOCH"),
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"mean_motion": item.get("MEAN_MOTION"),
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"eccentricity": item.get("ECCENTRICITY"),
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"inclination": item.get("INCLINATION"),
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"raan": item.get("RA_OF_ASC_NODE"),
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"arg_of_perigee": item.get("ARG_OF_PERICENTER"),
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"mean_anomaly": item.get("MEAN_ANOMALY"),
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"classification_type": item.get("CLASSIFICATION_TYPE"),
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"bstar": item.get("BSTAR"),
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"mean_motion_dot": item.get("MEAN_MOTION_DOT"),
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"mean_motion_ddot": item.get("MEAN_MOTION_DDOT"),
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"ephemeris_type": item.get("EPHEMERIS_TYPE"),
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},
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}
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)
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return transformed
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def _get_sample_data(self) -> List[Dict[str, Any]]:
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return [
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{
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"name": "STARLINK-1000",
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"norad_cat_id": 44720,
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"international_designator": "2019-029AZ",
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"epoch": "2026-03-13T00:00:00Z",
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"mean_motion": 15.79234567,
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"eccentricity": 0.0001234,
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"inclination": 53.0,
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},
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]
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