From 1272cdfc8137b80063df2cdd63164b5e44dd85a3 Mon Sep 17 00:00:00 2001
From: Alexis Fourmaux <fourmaux.alexis.perso@ungol.fr>
Date: Wed, 13 May 2026 15:24:43 +0200
Subject: [PATCH] feat: add script to simulate gas consumption and insert data
 in db

---
 server/backend/insert_dummy_data.py | 97 +++++++++++++++++++++++++++++
 1 file changed, 97 insertions(+)
 create mode 100644 server/backend/insert_dummy_data.py

diff --git a/server/backend/insert_dummy_data.py b/server/backend/insert_dummy_data.py
new file mode 100644
index 0000000..8bdd516
--- /dev/null
+++ b/server/backend/insert_dummy_data.py
@@ -0,0 +1,97 @@
+"""
+Pour ajouter les données et exécuter le script, créer le conteneur :
+docker run --rm --network server_database simugaz/backend:latest insert_data.py
+"""
+
+from datetime import datetime, timedelta
+from random import random
+from typing import NamedTuple
+from zoneinfo import ZoneInfo
+
+import psycopg2
+
+INITIAL_CONSUMPTION = 1854.32
+AVERAGE_DAILY_CONSUMPTION = 2.66
+PULSE_RESOLUTION = 0.010
+DB_URI = "postgresql://simugaz:simugaz@db/simugaz"
+
+GRDF_MONTHLY_COEFF = [
+    2.21,  # Janvier
+    2.05,  # Février
+    1.62,  # Mars
+    0.97,  # Avril
+    0.55,  # Mai
+    0.22,  # Juin
+    0.15,  # Juillet
+    0.17,  # Août
+    0.38,  # Septembre
+    0.85,  # Octobre
+    1.52,  # Novembre
+    2.11,  # Décembre
+]
+
+
+class PulseReading(NamedTuple):
+    device_id: str
+    date: datetime
+    value: int
+
+
+def simulate_gas_pulses(
+    device_id: str,
+    initial_consumption: float,
+    start_date: datetime,
+    end_date: datetime,
+    granularity_seconds: int = 3600,
+) -> list[PulseReading]:
+    results: list[PulseReading] = []
+    consumption_m3 = initial_consumption
+    current_date = start_date
+
+    while current_date < end_date:
+        daily_base = (
+            AVERAGE_DAILY_CONSUMPTION * GRDF_MONTHLY_COEFF[current_date.month - 1]
+        )
+        daily_variation = 1.0 + 0.30 * (random() - 0.5)
+
+        increment_m3 = daily_base * granularity_seconds / 86400.0 * daily_variation
+        consumption_m3 += increment_m3
+
+        pulses = int(consumption_m3 / PULSE_RESOLUTION)
+        new_reading = PulseReading(device_id=device_id, date=current_date, value=pulses)
+        results.append(new_reading)
+
+        current_date += timedelta(seconds=granularity_seconds)
+
+    return results
+
+
+def write_to_db(points: list[PulseReading]) -> None:
+    with psycopg2.connect(DB_URI) as conn:
+        with conn.cursor() as cur:
+            cur.executemany(
+                """
+                INSERT INTO reading (device_id, date, pulses)
+                VALUES (%s, %s, %s)
+                ON CONFLICT DO NOTHING
+                """,
+                points,
+            )
+        conn.commit()
+    print(f"[DB] {len(points)} lignes insérées")
+
+
+if __name__ == "__main__":
+    TZ = ZoneInfo("Europe/Paris")
+    start = datetime(2025, 1, 1, 0, 0, 0, tzinfo=TZ)
+    end = datetime.now(tz=TZ)
+
+    points = simulate_gas_pulses(
+        device_id="60124673-1999-414d-a3c5-723bd6d82a13",
+        initial_consumption=INITIAL_CONSUMPTION,
+        start_date=start,
+        end_date=end,
+        granularity_seconds=3600,
+    )
+
+    write_to_db(points)