195 lines
8.2 KiB
Python
195 lines
8.2 KiB
Python
import os
|
|
import datetime
|
|
from google.cloud import bigquery
|
|
|
|
|
|
class BillingAgent:
|
|
def __init__(self):
|
|
self.project_id = os.environ.get("GOOGLE_CLOUD_PROJECT")
|
|
if not self.project_id:
|
|
raise ValueError("GOOGLE_CLOUD_PROJECT environment variable not set.")
|
|
|
|
self.billing_table = os.environ.get("BILLING_TABLE")
|
|
if not self.billing_table:
|
|
raise ValueError("BILLING_TABLE environment variable not set.")
|
|
|
|
self.bq_client = bigquery.Client(project=self.project_id)
|
|
|
|
# ── summary ──────────────────────────────────────────────────────────────
|
|
def get_summary(self):
|
|
query = f"""
|
|
SELECT
|
|
DATE(usage_start_time) AS usage_date,
|
|
project.id AS project_id,
|
|
service.description AS service,
|
|
SUM(cost) AS daily_cost
|
|
FROM `{self.billing_table}`
|
|
WHERE _PARTITIONTIME >= TIMESTAMP_SUB(CURRENT_TIMESTAMP(), INTERVAL 30 DAY)
|
|
GROUP BY usage_date, project_id, service
|
|
ORDER BY usage_date DESC, daily_cost DESC
|
|
LIMIT 100
|
|
"""
|
|
results = self.bq_client.query(query).result()
|
|
summary = [
|
|
{
|
|
"usage_date": str(row.usage_date),
|
|
"project_id": row.project_id,
|
|
"service": row.service,
|
|
"daily_cost": row.daily_cost,
|
|
}
|
|
for row in results
|
|
]
|
|
if not summary:
|
|
return {
|
|
"onboarding_status": {
|
|
"state": "awaiting_data",
|
|
"message": "Fakturaeksport er aktiv, men ingen data for siste 30 dager ennå.",
|
|
}
|
|
}
|
|
return {"summary": summary}
|
|
|
|
# ── forecast ─────────────────────────────────────────────────────────────
|
|
def get_forecast(self):
|
|
q7 = f"""
|
|
SELECT SUM(cost) + SUM(IFNULL(
|
|
(SELECT SUM(c.amount) FROM UNNEST(credits) c), 0)) AS total_cost
|
|
FROM `{self.billing_table}`
|
|
WHERE _PARTITIONTIME >= TIMESTAMP_SUB(CURRENT_TIMESTAMP(), INTERVAL 7 DAY)
|
|
"""
|
|
total_7d = list(self.bq_client.query(q7).result())[0].total_cost or 0
|
|
daily_average = total_7d / 7
|
|
|
|
today = datetime.date.today()
|
|
next_month = datetime.date(
|
|
today.year + (1 if today.month == 12 else 0),
|
|
(today.month % 12) + 1, 1
|
|
)
|
|
remaining_days = (next_month - today).days
|
|
|
|
q_mtd = f"""
|
|
SELECT SUM(cost) + SUM(IFNULL(
|
|
(SELECT SUM(c.amount) FROM UNNEST(credits) c), 0)) AS total_cost
|
|
FROM `{self.billing_table}`
|
|
WHERE EXTRACT(MONTH FROM _PARTITIONTIME) = EXTRACT(MONTH FROM CURRENT_DATE())
|
|
AND EXTRACT(YEAR FROM _PARTITIONTIME) = EXTRACT(YEAR FROM CURRENT_DATE())
|
|
"""
|
|
mtd_cost = list(self.bq_client.query(q_mtd).result())[0].total_cost or 0
|
|
|
|
return {
|
|
"daily_average_last_7_days": daily_average,
|
|
"month_to_date_cost": mtd_cost,
|
|
"forecasted_remaining_cost": daily_average * remaining_days,
|
|
"total_monthly_forecast": mtd_cost + daily_average * remaining_days,
|
|
"remaining_days_in_month": remaining_days,
|
|
"data_note": "Prognose basert på siste 7 dager. BigQuery kan ha 24-48 timers forsinkelse.",
|
|
}
|
|
|
|
# ── anomalier ─────────────────────────────────────────────────────────────
|
|
def get_anomalies(self):
|
|
query = f"""
|
|
WITH daily_costs AS (
|
|
SELECT
|
|
service.description AS service,
|
|
DATE(_PARTITIONTIME) AS usage_date,
|
|
SUM(cost) + SUM(IFNULL(
|
|
(SELECT SUM(c.amount) FROM UNNEST(credits) c), 0)) AS daily_cost
|
|
FROM `{self.billing_table}`
|
|
WHERE _PARTITIONTIME >= TIMESTAMP_SUB(CURRENT_TIMESTAMP(), INTERVAL 14 DAY)
|
|
GROUP BY 1, 2
|
|
),
|
|
costs_with_avg AS (
|
|
SELECT
|
|
service, usage_date, daily_cost,
|
|
AVG(daily_cost) OVER (
|
|
PARTITION BY service ORDER BY usage_date
|
|
ROWS BETWEEN 7 PRECEDING AND 1 PRECEDING
|
|
) AS avg_7day
|
|
FROM daily_costs
|
|
)
|
|
SELECT service, daily_cost AS today_cost, avg_7day,
|
|
(daily_cost / avg_7day) AS ratio
|
|
FROM costs_with_avg
|
|
WHERE usage_date = CURRENT_DATE()
|
|
AND avg_7day > 0
|
|
AND daily_cost > (2.0 * avg_7day)
|
|
"""
|
|
results = self.bq_client.query(query).result()
|
|
return {
|
|
"anomalies": [
|
|
{
|
|
"service": row.service,
|
|
"today_cost": row.today_cost,
|
|
"avg_7d": row.avg_7day,
|
|
"ratio": row.ratio,
|
|
}
|
|
for row in results
|
|
]
|
|
}
|
|
|
|
# ── daglig historikk for bar-chart (CG6) ──────────────────────────────────
|
|
def get_daily_history(self, days: int = 30):
|
|
"""
|
|
Returnerer [{date: str, mtd: float}] for siste `days` dager, sortert ASC.
|
|
MTD (month-to-date) er kumulativ sum fra 1. i måneden til den dato.
|
|
"""
|
|
query = f"""
|
|
SELECT
|
|
DATE(usage_start_time) AS usage_date,
|
|
SUM(cost) + SUM(IFNULL(
|
|
(SELECT SUM(c.amount) FROM UNNEST(credits) c), 0)) AS day_cost
|
|
FROM `{self.billing_table}`
|
|
WHERE _PARTITIONTIME >= TIMESTAMP_SUB(CURRENT_TIMESTAMP(),
|
|
INTERVAL {int(days)} DAY)
|
|
GROUP BY usage_date
|
|
ORDER BY usage_date ASC
|
|
"""
|
|
results = list(self.bq_client.query(query).result())
|
|
history = []
|
|
mtd = 0.0
|
|
for row in results:
|
|
# Nullstill MTD ved månedsskifte
|
|
if history and row.usage_date.day == 1:
|
|
mtd = 0.0
|
|
mtd += float(row.day_cost or 0)
|
|
history.append({"date": str(row.usage_date), "mtd": round(mtd, 6)})
|
|
return history
|
|
|
|
# ── tjenester med SKU-detaljer (CG5) ─────────────────────────────────────
|
|
def get_service_totals(self, days: int = 30):
|
|
query = f"""
|
|
SELECT
|
|
service.description AS service,
|
|
sku.description AS sku,
|
|
SUM(cost) + SUM(IFNULL(
|
|
(SELECT SUM(c.amount) FROM UNNEST(credits) c), 0)) AS sku_cost
|
|
FROM `{self.billing_table}`
|
|
WHERE _PARTITIONTIME >= TIMESTAMP_SUB(CURRENT_TIMESTAMP(),
|
|
INTERVAL {int(days)} DAY)
|
|
GROUP BY service, sku
|
|
HAVING sku_cost > 0
|
|
ORDER BY service, sku_cost DESC
|
|
"""
|
|
results = self.bq_client.query(query).result()
|
|
services: dict = {}
|
|
for row in results:
|
|
svc = row.service
|
|
if svc not in services:
|
|
services[svc] = {"service": svc, "total_cost": 0.0, "skus": []}
|
|
services[svc]["total_cost"] = round(
|
|
services[svc]["total_cost"] + float(row.sku_cost), 6
|
|
)
|
|
services[svc]["skus"].append({
|
|
"sku": row.sku,
|
|
"sku_cost": round(float(row.sku_cost), 6),
|
|
})
|
|
return sorted(services.values(), key=lambda x: x["total_cost"], reverse=True)
|
|
|
|
|
|
if __name__ == '__main__':
|
|
agent = BillingAgent()
|
|
print("Summary:", agent.get_summary())
|
|
print("Forecast:", agent.get_forecast())
|
|
print("Anomalies:", agent.get_anomalies())
|
|
print("By-service:", agent.get_service_totals())
|
|
print("History:", agent.get_daily_history())
|