ai-cost-tracker/backend/app/core/logging.py
Vadym Samoilenko 2f070ce503 feat: initial implementation of Oliver AI Cost Tracker
Complete Phase 1 implementation:

Backend (FastAPI + MongoDB + Celery):
- Core: config, DB with indexes, JWT security, API key auth middleware
- Models: org hierarchy (workspace/team/project), user mirror, pricing,
  usage events/rollups, budgets, alert log, audit log
- Services: pricing engine (LiteLLM/YAML/override priority), budget check
  with preflight, email alerts at 50/80/100%, analytics aggregations,
  audit logger
- API routes: public (preflight/record/upsert), admin CRUD, pricing
  management, budget management, analytics (summary/timeseries/breakdown/pivot),
  Microsoft SSO auth
- Celery tasks: daily LiteLLM price sync with change notifications,
  daily rollup aggregation, 5-minute alert evaluator
- Pricing catalogue: ElevenLabs + Google Cloud TTS in models.yaml

SDK (oliver-cost-tracker Python package):
- CostTracker client with httpx + exponential backoff (3 retries)
- SQLite outbox with 30s background flusher (never blocks AI pipeline)
- Estimators: token/char estimation per provider
- BudgetExceeded / CostTrackerUnavailable exceptions

Frontend (React 18 + Vite + TypeScript):
- Dashboard with KPI cards, daily cost timeseries, top-model/top-user charts
- Pivot Explorer with multi-dim row/col selection + stacked bar chart + table
- Admin pages: Workspaces, Pricing (with LiteLLM sync + override), Budgets
  (with live spend bar), API Keys (show-once), Users (mirror), Audit Log
- Microsoft SSO login flow

Infra: docker-compose.yml (mongo + redis + api + celery worker + beat + frontend)

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-04-27 11:26:08 +01:00

14 lines
407 B
Python

import logging
import sys
def get_logger(name: str) -> logging.Logger:
logger = logging.getLogger(name)
if not logger.handlers:
handler = logging.StreamHandler(sys.stdout)
handler.setFormatter(
logging.Formatter("%(asctime)s | %(levelname)s | %(name)s | %(message)s")
)
logger.addHandler(handler)
logger.setLevel(logging.INFO)
return logger