vignette/scripts/report-ai-usage.py

46 lines
1.3 KiB
Python

#!/usr/bin/env python
"""Build a deterministic model-cost report from an admin usage JSON export."""
from __future__ import annotations
import argparse
import json
from pathlib import Path
import sys
def _repo_root() -> Path:
return Path(__file__).resolve().parents[1]
def _load_builder():
api_root = _repo_root() / "apps" / "api"
sys.path.insert(0, str(api_root))
from app.services.usage_report import build_model_cost_report
return build_model_cost_report
def parse_args() -> argparse.Namespace:
parser = argparse.ArgumentParser(
description="Create a model/provider AI usage cost report from AdminUsageResponse JSON.",
)
parser.add_argument("--input", required=True, help="Path to AdminUsageResponse JSON.")
parser.add_argument("--output", help="Optional output JSON path. Defaults to stdout.")
return parser.parse_args()
def main() -> int:
args = parse_args()
usage = json.loads(Path(args.input).read_text(encoding="utf-8"))
report = _load_builder()(usage)
payload = json.dumps(report, ensure_ascii=False, indent=2, sort_keys=True) + "\n"
if args.output:
Path(args.output).write_text(payload, encoding="utf-8")
else:
sys.stdout.write(payload)
return 0
if __name__ == "__main__":
raise SystemExit(main())