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>
66 lines
2.3 KiB
Python
66 lines
2.3 KiB
Python
import json
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from fastapi import APIRouter, HTTPException
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from app.config import BACKGROUND_SNAPSHOT_PATH, BACKGROUND_PATH, energy_axis, NUM_CHANNELS
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import numpy as np
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router = APIRouter()
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@router.get("")
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async def get_background_info():
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"""Background metadata: elapsed time, CPS, top peaks."""
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if not BACKGROUND_SNAPSHOT_PATH.exists():
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raise HTTPException(status_code=404, detail="Background capture not available yet")
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try:
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with open(BACKGROUND_SNAPSHOT_PATH) as f:
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snapshot = json.load(f)
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except (json.JSONDecodeError, OSError):
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raise HTTPException(status_code=500, detail="Background snapshot file corrupt")
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# Check if full background is available
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full_available = BACKGROUND_PATH.exists()
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return {
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"elapsed_hours": snapshot.get("elapsed_hours", 0),
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"live_time_s": snapshot.get("live_time_s", 0),
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"total_counts": snapshot.get("total_counts", 0),
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"cps": snapshot.get("cps", 0),
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"top_peaks": snapshot.get("top_peaks", []),
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"full_background_available": full_available,
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}
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@router.get("/spectrum")
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async def get_background_spectrum():
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"""Full background spectrum with energy axis."""
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if not BACKGROUND_SNAPSHOT_PATH.exists():
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raise HTTPException(status_code=404, detail="Background capture not available yet")
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try:
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with open(BACKGROUND_SNAPSHOT_PATH) as f:
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snapshot = json.load(f)
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except (json.JSONDecodeError, OSError):
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raise HTTPException(status_code=500, detail="Background snapshot file corrupt")
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counts = snapshot.get("spectrum", [0] * NUM_CHANNELS)
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# If full background file exists, use it for better data
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if BACKGROUND_PATH.exists():
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try:
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bg_data = np.load(str(BACKGROUND_PATH), allow_pickle=True).item()
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counts = [round(float(c), 1) for c in bg_data["counts"]]
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live_time = float(bg_data["duration"])
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except Exception:
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live_time = snapshot.get("live_time_s", 0)
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else:
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live_time = snapshot.get("live_time_s", 0)
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return {
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"channels": list(range(NUM_CHANNELS)),
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"energy_kev": energy_axis(),
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"counts": counts,
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"live_time_s": live_time,
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"cps": snapshot.get("cps", 0),
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"top_peaks": snapshot.get("top_peaks", []),
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} |