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Upload app/billing/usage_tracker.py with huggingface_hub
Browse files- app/billing/usage_tracker.py +173 -0
app/billing/usage_tracker.py
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"""
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Usage tracking service.
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Tracks token usage and costs for each LLM request.
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"""
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from sqlalchemy.orm import Session
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from sqlalchemy import func, and_
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from datetime import datetime, timedelta
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from typing import Optional
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import uuid
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import logging
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from app.db.models import UsageEvent, UsageDaily, UsageMonthly, Tenant
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from app.billing.pricing import calculate_cost
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from app.billing.quota import ensure_tenant_exists
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logger = logging.getLogger(__name__)
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def track_usage(
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db: Session,
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tenant_id: str,
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user_id: str,
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kb_id: str,
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provider: str,
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model: str,
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prompt_tokens: int,
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completion_tokens: int,
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request_timestamp: Optional[datetime] = None
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) -> UsageEvent:
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"""
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Track a single usage event.
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Args:
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db: Database session
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tenant_id: Tenant ID
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user_id: User ID
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kb_id: Knowledge base ID
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provider: "gemini" or "openai"
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model: Model name
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prompt_tokens: Input tokens
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completion_tokens: Output tokens
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request_timestamp: Request timestamp (defaults to now)
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Returns:
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Created UsageEvent
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"""
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# Ensure tenant exists
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ensure_tenant_exists(db, tenant_id)
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# Calculate cost
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total_tokens = prompt_tokens + completion_tokens
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estimated_cost = calculate_cost(provider, model, prompt_tokens, completion_tokens)
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# Create usage event
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request_id = f"req_{uuid.uuid4().hex[:16]}"
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timestamp = request_timestamp or datetime.utcnow()
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usage_event = UsageEvent(
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request_id=request_id,
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tenant_id=tenant_id,
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user_id=user_id,
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kb_id=kb_id,
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provider=provider,
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model=model,
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prompt_tokens=prompt_tokens,
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completion_tokens=completion_tokens,
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total_tokens=total_tokens,
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estimated_cost_usd=estimated_cost,
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request_timestamp=timestamp
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)
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db.add(usage_event)
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# Update daily aggregation
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_update_daily_usage(db, tenant_id, timestamp, provider, total_tokens, estimated_cost)
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# Update monthly aggregation
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_update_monthly_usage(db, tenant_id, timestamp, provider, total_tokens, estimated_cost)
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db.commit()
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db.refresh(usage_event)
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logger.info(
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f"Tracked usage: tenant={tenant_id}, provider={provider}, "
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f"tokens={total_tokens}, cost=${estimated_cost:.6f}"
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)
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return usage_event
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def _update_daily_usage(
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db: Session,
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tenant_id: str,
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timestamp: datetime,
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provider: str,
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tokens: int,
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cost: float
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):
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"""Update daily usage aggregation."""
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date = timestamp.date()
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date_start = datetime.combine(date, datetime.min.time())
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daily = db.query(UsageDaily).filter(
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and_(
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UsageDaily.tenant_id == tenant_id,
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UsageDaily.date == date_start
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)
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).first()
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if daily:
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daily.total_requests += 1
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daily.total_tokens += tokens
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daily.total_cost_usd += cost
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if provider == "gemini":
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daily.gemini_requests += 1
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elif provider == "openai":
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daily.openai_requests += 1
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daily.updated_at = datetime.utcnow()
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else:
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daily = UsageDaily(
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tenant_id=tenant_id,
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date=date_start,
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total_requests=1,
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total_tokens=tokens,
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total_cost_usd=cost,
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gemini_requests=1 if provider == "gemini" else 0,
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openai_requests=1 if provider == "openai" else 0
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)
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db.add(daily)
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def _update_monthly_usage(
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db: Session,
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tenant_id: str,
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timestamp: datetime,
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provider: str,
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tokens: int,
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cost: float
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):
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"""Update monthly usage aggregation."""
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year = timestamp.year
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month = timestamp.month
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monthly = db.query(UsageMonthly).filter(
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and_(
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UsageMonthly.tenant_id == tenant_id,
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UsageMonthly.year == year,
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UsageMonthly.month == month
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)
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).first()
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if monthly:
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monthly.total_requests += 1
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monthly.total_tokens += tokens
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monthly.total_cost_usd += cost
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if provider == "gemini":
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monthly.gemini_requests += 1
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elif provider == "openai":
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monthly.openai_requests += 1
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monthly.updated_at = datetime.utcnow()
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else:
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monthly = UsageMonthly(
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tenant_id=tenant_id,
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| 164 |
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year=year,
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month=month,
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| 166 |
+
total_requests=1,
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| 167 |
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total_tokens=tokens,
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total_cost_usd=cost,
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gemini_requests=1 if provider == "gemini" else 0,
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+
openai_requests=1 if provider == "openai" else 0
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+
)
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+
db.add(monthly)
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+
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