1e0c1a5ea5
- 4 vues : spectre temps reel, historique detections, background, timeline CPS - API REST : /api/status, /api/spectrum/current, /api/spectrum/difference, /api/background, /api/background/spectrum, /api/history, /api/cps/timeline - Frontend vanilla JS + Chart.js (pas de Node.js, leger pour Pi 4) - Moniteur modifie pour exporter son etat dans /data/monitor_state.json et le CPS dans /data/cps_log.jsonl chaque cycle - Nouveau conteneur Docker 'web' sur port 8080 - Theme sombre, calibration energie (E = 0.33 + 2.97 * canal) Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
38 lines
1.1 KiB
Python
38 lines
1.1 KiB
Python
from fastapi import APIRouter, Query
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from app.config import CPS_LOG_PATH
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import json
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router = APIRouter()
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@router.get("/timeline")
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async def get_cps_timeline(hours: int = Query(default=24, ge=1, le=720)):
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"""CPS data points for the last N hours."""
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if not CPS_LOG_PATH.exists():
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return {"data_points": [], "hours": hours}
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from datetime import datetime, timedelta
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cutoff = datetime.now() - timedelta(hours=hours)
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data_points = []
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try:
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with open(CPS_LOG_PATH) as f:
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for line in f:
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line = line.strip()
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if not line:
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continue
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try:
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entry = json.loads(line)
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ts = datetime.fromisoformat(entry["ts"])
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if ts >= cutoff:
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data_points.append(entry)
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except (json.JSONDecodeError, KeyError, ValueError):
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continue
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except OSError:
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return {"data_points": [], "hours": hours}
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return {
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"hours": hours,
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"data_points": data_points,
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} |