85 lines
2.9 KiB
Python
85 lines
2.9 KiB
Python
"""Token statistics API routes"""
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from datetime import date, timedelta
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from flask import Blueprint, request
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from sqlalchemy import func
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from backend.models import TokenUsage
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from backend.utils.helpers import ok, err, get_or_create_default_user
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bp = Blueprint("stats", __name__)
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@bp.route("/api/stats/tokens", methods=["GET"])
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def token_stats():
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"""Get token usage statistics"""
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user = get_or_create_default_user()
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period = request.args.get("period", "daily")
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today = date.today()
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if period == "daily":
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stats = TokenUsage.query.filter_by(user_id=user.id, date=today).all()
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result = {
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"period": "daily",
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"date": today.isoformat(),
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"prompt_tokens": sum(s.prompt_tokens for s in stats),
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"completion_tokens": sum(s.completion_tokens for s in stats),
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"total_tokens": sum(s.total_tokens for s in stats),
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"by_model": {
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s.model: {
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"prompt": s.prompt_tokens,
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"completion": s.completion_tokens,
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"total": s.total_tokens
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} for s in stats
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}
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}
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elif period == "weekly":
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start_date = today - timedelta(days=6)
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stats = TokenUsage.query.filter(
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TokenUsage.user_id == user.id,
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TokenUsage.date >= start_date,
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TokenUsage.date <= today
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).all()
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result = _build_period_result(stats, "weekly", start_date, today, 7)
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elif period == "monthly":
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start_date = today - timedelta(days=29)
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stats = TokenUsage.query.filter(
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TokenUsage.user_id == user.id,
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TokenUsage.date >= start_date,
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TokenUsage.date <= today
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).all()
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result = _build_period_result(stats, "monthly", start_date, today, 30)
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else:
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return err(400, "invalid period")
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return ok(result)
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def _build_period_result(stats, period, start_date, end_date, days):
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"""Build result for period-based statistics"""
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daily_data = {}
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for s in stats:
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d = s.date.isoformat()
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if d not in daily_data:
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daily_data[d] = {"prompt": 0, "completion": 0, "total": 0}
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daily_data[d]["prompt"] += s.prompt_tokens
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daily_data[d]["completion"] += s.completion_tokens
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daily_data[d]["total"] += s.total_tokens
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# Fill missing dates
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for i in range(days):
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d = (end_date - timedelta(days=days - 1 - i)).isoformat()
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if d not in daily_data:
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daily_data[d] = {"prompt": 0, "completion": 0, "total": 0}
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return {
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"period": period,
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"start_date": start_date.isoformat(),
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"end_date": end_date.isoformat(),
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"prompt_tokens": sum(s.prompt_tokens for s in stats),
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"completion_tokens": sum(s.completion_tokens for s in stats),
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"total_tokens": sum(s.total_tokens for s in stats),
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"daily": daily_data
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}
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