feat(CG4-credits): GET /billing/credits — kreditt-saldo, burn rate og tom-dato
This commit is contained in:
parent
1d413a56d5
commit
6804080482
|
|
@ -15,7 +15,7 @@ class BillingAgent:
|
|||
|
||||
self.bq_client = bigquery.Client(project=self.project_id)
|
||||
|
||||
# ── summary ──────────────────────────────────────────────────────────────
|
||||
# ── summary ────────────────────────────────────────────────────────────────────
|
||||
def get_summary(self):
|
||||
query = f"""
|
||||
SELECT
|
||||
|
|
@ -48,7 +48,7 @@ class BillingAgent:
|
|||
}
|
||||
return {"summary": summary}
|
||||
|
||||
# ── forecast ──────────────────────────────────────────────────────────────
|
||||
# ── forecast ──────────────────────────────────────────────────────────────────
|
||||
def get_forecast(self):
|
||||
q7 = f"""
|
||||
SELECT SUM(cost) + SUM(IFNULL(
|
||||
|
|
@ -84,7 +84,129 @@ class BillingAgent:
|
|||
"data_note": "Prognose basert på siste 7 dager. BigQuery kan ha 24-48 timers forsinkelse.",
|
||||
}
|
||||
|
||||
# ── anomalier ─────────────────────────────────────────────────────────────
|
||||
# ── credits-status (ny) ───────────────────────────────────────────────────────
|
||||
def get_credits_status(self, days: int = 90):
|
||||
"""
|
||||
CG4-credits: Henter faktiske kreditter fra BigQuery billing export.
|
||||
|
||||
Returnerer:
|
||||
- credits_used_total: total kreditter brukt hittil (alle typer)
|
||||
- credits_by_type: [{type, full_name, amount}] sortert størst først
|
||||
- gross_cost_total: bruttokostnad uten kreditter
|
||||
- net_cost_total: nettokostnad etter kreditter
|
||||
- daily_gross_burn: gjennomsnittlig daglig bruttokostnad (7d)
|
||||
- daily_credit_burn: gjennomsnittlig daglig kredittforbruk (7d)
|
||||
- credit_runway_days: estimert antall dager til credits er tom
|
||||
- credit_exhaustion_date: estimert dato når credits går tom
|
||||
- data_as_of: siste dato med data i BQ (24-48t forsinkelse)
|
||||
- warning: settes hvis runway < 30 dager
|
||||
"""
|
||||
# 1. Total kreditter brukt og type-breakdown
|
||||
q_credits = f"""
|
||||
SELECT
|
||||
cr.type AS credit_type,
|
||||
cr.full_name AS full_name,
|
||||
ROUND(SUM(cr.amount), 4) AS total_amount
|
||||
FROM `{self.billing_table}`,
|
||||
UNNEST(credits) AS cr
|
||||
WHERE _PARTITIONTIME >= TIMESTAMP_SUB(CURRENT_TIMESTAMP(), INTERVAL {int(days)} DAY)
|
||||
GROUP BY credit_type, full_name
|
||||
ORDER BY total_amount ASC
|
||||
"""
|
||||
|
||||
# 2. Daglig burn siste 7 dager (brutto og kreditter separat)
|
||||
q_burn = f"""
|
||||
SELECT
|
||||
ROUND(SUM(cost) / 7, 6) AS daily_gross,
|
||||
ROUND(SUM(IFNULL(
|
||||
(SELECT SUM(c.amount) FROM UNNEST(credits) c), 0)) / 7, 6) AS daily_credit
|
||||
FROM `{self.billing_table}`
|
||||
WHERE _PARTITIONTIME >= TIMESTAMP_SUB(CURRENT_TIMESTAMP(), INTERVAL 7 DAY)
|
||||
"""
|
||||
|
||||
# 3. Total brutto + netto hittil
|
||||
q_totals = f"""
|
||||
SELECT
|
||||
ROUND(SUM(cost), 4) AS gross_total,
|
||||
ROUND(SUM(cost) + SUM(IFNULL(
|
||||
(SELECT SUM(c.amount) FROM UNNEST(credits) c), 0)), 4) AS net_total
|
||||
FROM `{self.billing_table}`
|
||||
WHERE _PARTITIONTIME >= TIMESTAMP_SUB(CURRENT_TIMESTAMP(), INTERVAL {int(days)} DAY)
|
||||
"""
|
||||
|
||||
# 4. Siste dato med data
|
||||
q_latest = f"""
|
||||
SELECT MAX(DATE(usage_start_time)) AS latest_date
|
||||
FROM `{self.billing_table}`
|
||||
"""
|
||||
|
||||
credits_rows = list(self.bq_client.query(q_credits).result())
|
||||
burn_row = list(self.bq_client.query(q_burn).result())[0]
|
||||
totals_row = list(self.bq_client.query(q_totals).result())[0]
|
||||
latest_row = list(self.bq_client.query(q_latest).result())[0]
|
||||
|
||||
credits_by_type = [
|
||||
{
|
||||
"type": row.credit_type,
|
||||
"full_name": row.full_name,
|
||||
"amount": float(row.total_amount),
|
||||
}
|
||||
for row in credits_rows
|
||||
]
|
||||
credits_used_total = abs(sum(r["amount"] for r in credits_by_type))
|
||||
gross_total = float(totals_row.gross_total or 0)
|
||||
net_total = float(totals_row.net_total or 0)
|
||||
daily_gross = float(burn_row.daily_gross or 0)
|
||||
daily_credit = abs(float(burn_row.daily_credit or 0))
|
||||
data_as_of = str(latest_row.latest_date) if latest_row.latest_date else None
|
||||
|
||||
# Runway: Google Vertex AI free tier er typisk $300 USD per prosjekt
|
||||
# Vi beregner gjenstående basert på faktisk brukt vs antatt total-kreditt
|
||||
# Brukeren må sette GOOGLE_CREDIT_TOTAL_USD i env for nøyaktig beregning
|
||||
credit_total_usd = float(os.environ.get("GOOGLE_CREDIT_TOTAL_USD", "0"))
|
||||
runway_days = None
|
||||
exhaustion_date = None
|
||||
credits_remaining = None
|
||||
|
||||
if credit_total_usd > 0 and daily_credit > 0:
|
||||
credits_remaining = round(credit_total_usd - credits_used_total, 2)
|
||||
runway_days = int(credits_remaining / daily_credit) if credits_remaining > 0 else 0
|
||||
exhaustion_date = str(
|
||||
datetime.date.today() + datetime.timedelta(days=runway_days)
|
||||
) if runway_days > 0 else str(datetime.date.today())
|
||||
elif daily_credit > 0:
|
||||
# Ingen total satt: gi burn rate men ikke runway
|
||||
credits_remaining = None
|
||||
runway_days = None
|
||||
exhaustion_date = None
|
||||
|
||||
warning = None
|
||||
if runway_days is not None and runway_days < 30:
|
||||
warning = f"⚠️ Kreditter estimert tom om {runway_days} dager ({exhaustion_date}). Aktiver fakturering!"
|
||||
elif runway_days is not None and runway_days < 60:
|
||||
warning = f"⚠️ Kreditter estimert tom om {runway_days} dager ({exhaustion_date})."
|
||||
|
||||
return {
|
||||
"credits_used_total_usd": round(credits_used_total, 4),
|
||||
"credits_remaining_usd": credits_remaining,
|
||||
"credit_total_usd": credit_total_usd if credit_total_usd > 0 else None,
|
||||
"gross_cost_total_usd": gross_total,
|
||||
"net_cost_total_usd": net_total,
|
||||
"daily_gross_burn_usd": round(daily_gross, 6),
|
||||
"daily_credit_burn_usd": round(daily_credit, 6),
|
||||
"credit_runway_days": runway_days,
|
||||
"credit_exhaustion_date": exhaustion_date,
|
||||
"credits_by_type": credits_by_type,
|
||||
"data_as_of": data_as_of,
|
||||
"period_days": days,
|
||||
"warning": warning,
|
||||
"setup_note": None if credit_total_usd > 0 else (
|
||||
"Sett GOOGLE_CREDIT_TOTAL_USD i Cloud Run env for nøyaktig runway-beregning. "
|
||||
"Eksempel: 300 for $300 Google gratis-kreditter."
|
||||
),
|
||||
}
|
||||
|
||||
# ── anomalier ──────────────────────────────────────────────────────────────────
|
||||
def get_anomalies(self):
|
||||
query = f"""
|
||||
WITH daily_costs AS (
|
||||
|
|
@ -126,12 +248,8 @@ class BillingAgent:
|
|||
]
|
||||
}
|
||||
|
||||
# ── daglig historikk for bar-chart (CG6) ──────────────────────────────────
|
||||
# ── 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 er kumulativ sum fra 1. i måneden til den dato.
|
||||
"""
|
||||
query = f"""
|
||||
SELECT
|
||||
DATE(usage_start_time) AS usage_date,
|
||||
|
|
@ -153,13 +271,8 @@ class BillingAgent:
|
|||
history.append({"date": str(row.usage_date), "mtd": round(mtd, 6)})
|
||||
return history
|
||||
|
||||
# ── tjenester gruppert per service (CG5+CG6) ─────────────────────────────
|
||||
# ── tjenester gruppert per service (CG5+CG6) ─────────────────────────────────
|
||||
def get_service_totals(self, days: int = 30):
|
||||
"""
|
||||
Grupperer kostnader per tjeneste (ikke per SKU).
|
||||
Compute Engine vises som én rad med total, med SKU-detaljer som sub-liste.
|
||||
Unngår duplikate tjeneste-rader i dashbordet.
|
||||
"""
|
||||
query = f"""
|
||||
SELECT
|
||||
service.description AS service,
|
||||
|
|
@ -174,8 +287,6 @@ class BillingAgent:
|
|||
ORDER BY service, sku_cost DESC
|
||||
"""
|
||||
results = self.bq_client.query(query).result()
|
||||
|
||||
# Grupper SKU-er under tjeneste — én rad per tjeneste i dashbordet
|
||||
services: dict = {}
|
||||
for row in results:
|
||||
svc = row.service
|
||||
|
|
@ -188,7 +299,6 @@ class BillingAgent:
|
|||
"sku": row.sku,
|
||||
"sku_cost": round(float(row.sku_cost), 6),
|
||||
})
|
||||
|
||||
return sorted(services.values(), key=lambda x: x["total_cost"], reverse=True)
|
||||
|
||||
|
||||
|
|
@ -196,6 +306,7 @@ if __name__ == '__main__':
|
|||
agent = BillingAgent()
|
||||
print("Summary:", agent.get_summary())
|
||||
print("Forecast:", agent.get_forecast())
|
||||
print("Credits status:", agent.get_credits_status())
|
||||
print("Anomalies:", agent.get_anomalies())
|
||||
print("By-service:", agent.get_service_totals())
|
||||
print("History:", agent.get_daily_history())
|
||||
|
|
|
|||
Loading…
Reference in New Issue
Block a user