feat: add cli args to insert data script for easier usage

This commit is contained in:
Alexis Fourmaux 2026-05-13 21:30:33 +02:00
parent 7cfd2dd352
commit 2a8cfdcaed

View file

@ -1,8 +1,8 @@
"""
Pour ajouter les données et exécuter le script, créer le conteneur :
docker run --rm --network server_database simugaz/backend:latest insert_data.py
docker run --rm --network server_database simugaz/backend:latest insert_dummy_data.py <options>
"""
import argparse
from datetime import datetime, timedelta
from random import random
from typing import NamedTuple
@ -10,11 +10,17 @@ from zoneinfo import ZoneInfo
import psycopg2
TZ = ZoneInfo("Europe/Paris")
INITIAL_CONSUMPTION = 1854.32
AVERAGE_DAILY_CONSUMPTION = 2.66
PULSE_RESOLUTION = 0.010
DB_URI = "postgresql://simugaz:simugaz@db/simugaz"
GRANULARITIES = {
"hour": 3600,
"day": 86400
}
GRDF_MONTHLY_COEFF = [
2.21, # Janvier
2.05, # Février
@ -81,17 +87,52 @@ def write_to_db(points: list[PulseReading]) -> None:
print(f"[DB] {len(points)} lignes insérées")
def parse_args():
parser = argparse.ArgumentParser(description="Générateur de données SimuGaz")
parser.add_argument(
"--start",
type=lambda s: datetime.fromisoformat(s).replace(tzinfo=TZ),
default=datetime(2025, 1, 1, 0, 0, 0, tzinfo=TZ),
help="Date de début (défaut : 2025-01-01)",
)
parser.add_argument(
"--end",
type=lambda s: datetime.fromisoformat(s).replace(tzinfo=TZ),
default=datetime.now(tz=TZ),
help="Date de fin (défaut : maintenant)",
)
parser.add_argument(
"--device-id",
type=str,
default=None,
metavar="UUID",
help="UUID du device",
)
parser.add_argument(
"--conso",
type=float,
default=INITIAL_CONSUMPTION,
help=f"Compteur de consommation initial (défaut : {INITIAL_CONSUMPTION})",
)
parser.add_argument(
"--granularity",
choices=GRANULARITIES.keys(),
default="hour",
help="Granularité des points ('hour' par défaut)",
)
return parser.parse_args()
if __name__ == "__main__":
TZ = ZoneInfo("Europe/Paris")
start = datetime(2025, 1, 1, 0, 0, 0, tzinfo=TZ)
end = datetime.now(tz=TZ)
args = parse_args()
points = simulate_gas_pulses(
device_id="60124673-1999-414d-a3c5-723bd6d82a13",
initial_consumption=INITIAL_CONSUMPTION,
start_date=start,
end_date=end,
granularity_seconds=3600,
device_id=args.device_id,
initial_consumption=args.conso,
start_date=args.start,
end_date=args.end,
granularity_seconds=GRANULARITIES[args.granularity],
)
write_to_db(points)