Spaces:
Running
Running
| // Loads the LEO objects exported by src/export_sim_data.py (full-precision OMM elements). | |
| // ?dataset=history/<event> loads a historical replay built by src/history.py instead of the live data. | |
| import { GROUP_COLORS } from './config.js'; | |
| const requested = new URLSearchParams(location.search).get('dataset') ?? ''; | |
| export const DATASET = /^(history\/[a-z0-9-]+)?$/.test(requested) ? requested : ''; | |
| export const dataUrl = (file) => `data/${DATASET ? `${DATASET}/` : ''}${file}`; | |
| export async function loadSatellites() { | |
| const res = await fetch(dataUrl('leo_objects.json')); | |
| if (!res.ok) throw new Error(`Dataset "${DATASET || 'live'}" not found (HTTP ${res.status}).`); | |
| const data = await res.json(); | |
| // validFrom/validTo (Unix ms): the object is only shown and screened inside this window | |
| // (+-validity_days around its element epoch, never before its launch or after its decay). | |
| const sats = data.objects.map(([group, values, validFrom, validTo]) => { | |
| const omm = Object.fromEntries(data.omm_fields.map((f, k) => [f, values[k]])); | |
| return { norad: omm.NORAD_CAT_ID, name: omm.OBJECT_NAME, group, omm, validFrom, validTo }; | |
| }); | |
| const groupNames = Object.keys(GROUP_COLORS).filter(g => sats.some(s => s.group === g)); | |
| return { sats, groupNames, generatedUtc: data.generated_utc, clockRange: data.clock_range_ms, | |
| validityDays: data.validity_days, event: data.event ?? null }; | |
| } | |
| // The replay's prediction report (src/history.py), if any. | |
| export async function loadReport() { | |
| if (!DATASET) return null; | |
| try { | |
| const res = await fetch(dataUrl('report.json')); | |
| return res.ok ? await res.json() : null; | |
| } catch { | |
| return null; | |
| } | |
| } | |
| // SGP4 record for one object; the Python screener initialises the same OMM values. | |
| export const makeSatrec = (s) => window.satellite.json2satrec(s.omm); | |