Grafana dashboard flexibilite/agregation

This commit is contained in:
Eric F
2026-06-09 18:59:37 -04:00
parent 1ab3a4a643
commit d1b57769c0
7 changed files with 986 additions and 0 deletions

View File

@@ -0,0 +1,165 @@
#!/usr/bin/env python3
"""Cariflex - Injecte les données météo réelles et prix DSO simulés."""
import json
import requests
import re
import warnings
import random
from datetime import datetime, timezone, timedelta
import pytz
warnings.filterwarnings("ignore")
FM_HOST = "https://cariflex.digitribe.fr"
CREDS_FILE = "/tmp/fm_creds.json"
MARTINIQUE_TZ = pytz.timezone("America/Martinique")
with open(CREDS_FILE) as f:
creds = json.load(f)
session = requests.Session()
session.verify = False
# Login
r = session.get(f"{FM_HOST}/login")
match = re.search(r'<input[^>]*csrf_token[^>]*value="([^"]+)"', r.text)
csrf = match.group(1)
r = session.post(f"{FM_HOST}/login", data={
"email": creds["email"], "password": creds["password"],
"csrf_token": csrf, "remember": "y"
}, allow_redirects=True)
print(f"Login: {'OK' if 'dashboard' in r.url else 'FAILED'}")
# Get existing sensors
r = session.get(f"{FM_HOST}/api/v3_0/sensors")
sensors = {}
if r.status_code == 200:
for s in r.json():
sensors[s["name"]] = s["id"]
print(f" Sensor: {s['id']} - {s['name']} (asset {s.get('generic_asset_id', '?')})")
# ========================================
# 1. Injecter les prévisions météo réelles
# ========================================
print("\n=== Injection des données météo ===")
LAT, LON = 14.6091, -61.2155
now_local = datetime.now(MARTINIQUE_TZ)
today = now_local.strftime("%Y-%m-%d")
url = (
f"https://api.open-meteo.com/v1/forecast?"
f"latitude={LAT}&longitude={LON}"
f"&hourly=shortwave_radiation,temperature_2m,wind_speed_10m"
f"&timezone=America/Martinique"
f"&start_date={today}&end_date={today}"
)
try:
resp = requests.get(url, timeout=15)
if resp.status_code == 200:
wdata = resp.json()
hourly = wdata["hourly"]
times = hourly["time"]
irradiance = hourly["shortwave_radiation"]
temperature = hourly["temperature_2m"]
wind_speed = hourly["wind_speed_10m"]
print(f" Données météo récupérées: {len(times)} heures")
# Map sensor names to data
sensor_data_map = {
"irradiance": (irradiance, "W/m²"),
"temperature": (temperature, "°C"),
"wind_speed": (wind_speed, "m/s"),
}
for sensor_name, (data, unit) in sensor_data_map.items():
if sensor_name not in sensors:
print(f" Sensor '{sensor_name}' non trouvé, ignoré")
continue
sensor_id = sensors[sensor_name]
posted = 0
for i, t in enumerate(times):
dt = datetime.fromisoformat(t)
value = max(0, data[i]) if data[i] is not None else 0
r = session.post(
f"{FM_HOST}/api/v3_0/sensors/{sensor_id}/data",
json={
"values": [round(value, 1)],
"start": dt.isoformat(),
"duration": "PT1H",
"unit": unit
},
timeout=30
)
if r.status_code in [200, 201, 202]:
posted += 1
print(f" Sensor '{sensor_name}' (ID {sensor_id}): {posted}/{len(times)} values posted")
else:
print(f" Erreur API météo: HTTP {resp.status_code}")
except Exception as e:
print(f" Erreur récupération météo: {e}")
# ========================================
# 2. Injecter les prix DSO simulés
# ========================================
print("\n=== Injection des prix DSO ===")
if "consumption_price" in sensors and "production_price" in sensors:
consumption_price_id = sensors["consumption_price"]
production_price_id = sensors["production_price"]
now_utc = datetime.now(timezone.utc)
posted = 0
for hour in range(24):
dt = now_utc - timedelta(hours=23-hour)
hour_of_day = dt.hour
# Price pattern: peak during day, lower at night
if 6 <= hour_of_day <= 22:
consumption_price = round(random.uniform(80, 150), 2)
production_price = round(random.uniform(60, 120), 2)
else:
consumption_price = round(random.uniform(40, 80), 2)
production_price = round(random.uniform(30, 60), 2)
# Post consumption price
r = session.post(
f"{FM_HOST}/api/v3_0/sensors/{consumption_price_id}/data",
json={
"values": [consumption_price],
"start": dt.isoformat(),
"duration": "PT1H",
"unit": "EUR/MWh"
},
timeout=30
)
if r.status_code in [200, 201, 202]:
posted += 1
# Post production price
r = session.post(
f"{FM_HOST}/api/v3_0/sensors/{production_price_id}/data",
json={
"values": [production_price],
"start": dt.isoformat(),
"duration": "PT1H",
"unit": "EUR/MWh"
},
timeout=30
)
if r.status_code in [200, 201, 202]:
posted += 1
print(f" Prix DSO injectés: {posted} values")
else:
print(" Sensors de prix non trouvés")
print("\n=== Injection terminée ===")