Extract usage trends and reset logic into usage_tracking_helpers
This commit is contained in:
ي
@@ -10,7 +10,7 @@ import asyncio
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from typing import Dict, Any, List, Tuple
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from datetime import datetime, timedelta
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from sqlalchemy.orm import Session
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from sqlalchemy import func, desc
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from sqlalchemy import desc
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from loguru import logger
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import json
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@@ -20,6 +20,18 @@ from models.subscription_models import (
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)
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from .pricing_service import PricingService
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from .provider_detection import detect_actual_provider
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from .usage_tracking_helpers import (
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build_billing_periods,
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build_default_usage_percentages,
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build_empty_usage_response,
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build_provider_breakdown,
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build_usage_trends_response,
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calculate_final_total_cost,
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maybe_persist_reconciled_costs,
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query_usage_summaries,
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reset_usage_summary_counters,
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self_heal_summaries_from_logs,
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)
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class UsageTrackingService:
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"""Service for tracking API usage and managing subscription limits."""
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@@ -356,6 +368,10 @@ class UsageTrackingService:
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def get_user_usage_stats(self, user_id: str, billing_period: str = None) -> Dict[str, Any]:
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"""Get comprehensive usage statistics for a user."""
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if not user_id:
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logger.error("get_user_usage_stats called without user_id")
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raise ValueError("user_id is required")
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requested_billing_period = billing_period
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period_keys = self._get_authoritative_billing_period_keys(user_id, requested_billing_period)
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@@ -401,269 +417,54 @@ class UsageTrackingService:
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pass
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if not summary: # Still no summary after attempt
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# No usage this period - return complete structure with zeros
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provider_breakdown = {}
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usage_percentages = {}
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# Initialize provider breakdown with zeros
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for provider in APIProvider:
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provider_name = provider.value
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provider_breakdown[provider_name] = {
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'calls': 0,
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'tokens': 0,
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'cost': 0.0
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}
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usage_percentages[f"{provider_name}_calls"] = 0
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usage_percentages['cost'] = 0
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return {
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'billing_period': billing_period,
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'usage_status': 'active',
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'total_calls': 0,
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'total_tokens': 0,
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'total_cost': 0.0,
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'avg_response_time': 0.0,
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'error_rate': 0.0,
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'last_updated': datetime.now().isoformat(),
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'limits': limits,
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'provider_breakdown': provider_breakdown,
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'alerts': [],
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'usage_percentages': usage_percentages
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}
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return build_empty_usage_response(
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billing_period=billing_period,
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limits=limits,
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providers=APIProvider,
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)
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# Provider breakdown - calculate costs first, then use for percentages
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# Only include Gemini and HuggingFace (HuggingFace is stored under MISTRAL enum)
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provider_breakdown = {}
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# Gemini
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gemini_calls = getattr(summary, "gemini_calls", 0) or 0
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gemini_tokens = getattr(summary, "gemini_tokens", 0) or 0
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gemini_cost = getattr(summary, "gemini_cost", 0.0) or 0.0
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# If gemini cost is 0 but there are calls, calculate from usage logs
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if gemini_calls > 0 and gemini_cost == 0.0:
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gemini_logs = self.db.query(APIUsageLog).filter(
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APIUsageLog.user_id == user_id,
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APIUsageLog.provider == APIProvider.GEMINI,
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APIUsageLog.billing_period == billing_period
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).all()
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if gemini_logs:
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gemini_cost = sum(float(log.cost_total or 0.0) for log in gemini_logs)
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logger.info(f"[UsageStats] Calculated gemini cost from {len(gemini_logs)} logs: ${gemini_cost:.6f}")
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provider_breakdown['gemini'] = {
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'calls': gemini_calls,
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'tokens': gemini_tokens,
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'cost': gemini_cost
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}
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# HuggingFace (stored as MISTRAL in database)
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mistral_calls = getattr(summary, "mistral_calls", 0) or 0
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mistral_tokens = getattr(summary, "mistral_tokens", 0) or 0
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mistral_cost = getattr(summary, "mistral_cost", 0.0) or 0.0
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# If mistral (HuggingFace) cost is 0 but there are calls, calculate from usage logs
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if mistral_calls > 0 and mistral_cost == 0.0:
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mistral_logs = self.db.query(APIUsageLog).filter(
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APIUsageLog.user_id == user_id,
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APIUsageLog.provider == APIProvider.MISTRAL,
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APIUsageLog.billing_period == billing_period
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).all()
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if mistral_logs:
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mistral_cost = sum(float(log.cost_total or 0.0) for log in mistral_logs)
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logger.info(f"[UsageStats] Calculated mistral (HuggingFace) cost from {len(mistral_logs)} logs: ${mistral_cost:.6f}")
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provider_breakdown['huggingface'] = {
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'calls': mistral_calls,
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'tokens': mistral_tokens,
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'cost': mistral_cost
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}
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# Add other providers (Video, Audio, Image, Image Edit) for comprehensive breakdown
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# Video (WaveSpeed, HuggingFace, etc.)
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video_calls = getattr(summary, "video_calls", 0) or 0
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video_cost = getattr(summary, "video_cost", 0.0) or 0.0
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if video_calls > 0 and video_cost == 0.0:
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video_logs = self.db.query(APIUsageLog).filter(
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APIUsageLog.user_id == user_id,
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APIUsageLog.provider == APIProvider.VIDEO,
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APIUsageLog.billing_period == billing_period
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).all()
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if video_logs:
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video_cost = sum(float(log.cost_total or 0.0) for log in video_logs)
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provider_breakdown['video'] = {
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'calls': video_calls,
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'tokens': 0,
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'cost': video_cost
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}
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# Audio (WaveSpeed, etc.)
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audio_calls = getattr(summary, "audio_calls", 0) or 0
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audio_cost = getattr(summary, "audio_cost", 0.0) or 0.0
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if audio_calls > 0 and audio_cost == 0.0:
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audio_logs = self.db.query(APIUsageLog).filter(
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APIUsageLog.user_id == user_id,
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APIUsageLog.provider == APIProvider.AUDIO,
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APIUsageLog.billing_period == billing_period
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).all()
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if audio_logs:
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audio_cost = sum(float(log.cost_total or 0.0) for log in audio_logs)
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provider_breakdown['audio'] = {
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'calls': audio_calls,
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'tokens': 0,
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'cost': audio_cost
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}
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# Image Generation (Stability/WaveSpeed)
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stability_calls = getattr(summary, "stability_calls", 0) or 0
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stability_cost = getattr(summary, "stability_cost", 0.0) or 0.0
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if stability_calls > 0 and stability_cost == 0.0:
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stability_logs = self.db.query(APIUsageLog).filter(
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APIUsageLog.user_id == user_id,
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APIUsageLog.provider == APIProvider.STABILITY,
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APIUsageLog.billing_period == billing_period
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).all()
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if stability_logs:
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stability_cost = sum(float(log.cost_total or 0.0) for log in stability_logs)
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provider_breakdown['image'] = {
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'calls': stability_calls,
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'tokens': 0,
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'cost': stability_cost
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}
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# Image Editing (WaveSpeed)
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image_edit_calls = getattr(summary, "image_edit_calls", 0) or 0
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image_edit_cost = getattr(summary, "image_edit_cost", 0.0) or 0.0
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if image_edit_calls > 0 and image_edit_cost == 0.0:
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image_edit_logs = self.db.query(APIUsageLog).filter(
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APIUsageLog.user_id == user_id,
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APIUsageLog.provider == APIProvider.IMAGE_EDIT,
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APIUsageLog.billing_period == billing_period
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).all()
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if image_edit_logs:
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image_edit_cost = sum(float(log.cost_total or 0.0) for log in image_edit_logs)
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provider_breakdown['image_edit'] = {
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'calls': image_edit_calls,
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'tokens': 0,
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'cost': image_edit_cost
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}
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# WaveSpeed (aggregated across Video, Audio, Image, Image Edit)
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# Query APIUsageLog directly to get accurate WaveSpeed-specific usage
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wavespeed_logs = self.db.query(APIUsageLog).filter(
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APIUsageLog.user_id == user_id,
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APIUsageLog.billing_period == billing_period,
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APIUsageLog.actual_provider_name == "wavespeed"
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).all()
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if wavespeed_logs:
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wavespeed_calls = len(wavespeed_logs)
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wavespeed_tokens = sum((log.tokens_total or 0) for log in wavespeed_logs)
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wavespeed_cost = sum(float(log.cost_total or 0.0) for log in wavespeed_logs)
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provider_breakdown['wavespeed'] = {
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'calls': wavespeed_calls,
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'tokens': wavespeed_tokens,
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'cost': wavespeed_cost
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}
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logger.info(f"[UsageStats] Calculated WaveSpeed usage: {wavespeed_calls} calls, ${wavespeed_cost:.6f}")
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else:
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provider_breakdown['wavespeed'] = {
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'calls': 0,
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'tokens': 0,
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'cost': 0.0
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}
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# Search APIs
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tavily_calls = getattr(summary, "tavily_calls", 0) or 0
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tavily_cost = getattr(summary, "tavily_cost", 0.0) or 0.0
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provider_breakdown['tavily'] = {
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'calls': tavily_calls,
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'tokens': 0,
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'cost': tavily_cost
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}
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serper_calls = getattr(summary, "serper_calls", 0) or 0
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serper_cost = getattr(summary, "serper_cost", 0.0) or 0.0
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provider_breakdown['serper'] = {
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'calls': serper_calls,
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'tokens': 0,
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'cost': serper_cost
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}
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exa_calls = getattr(summary, "exa_calls", 0) or 0
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exa_cost = getattr(summary, "exa_cost", 0.0) or 0.0
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provider_breakdown['exa'] = {
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'calls': exa_calls,
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'tokens': 0,
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'cost': exa_cost
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}
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# Calculate total cost from provider breakdown if summary total_cost is 0
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calculated_total_cost = (
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gemini_cost + mistral_cost + video_cost + audio_cost +
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stability_cost + image_edit_cost + tavily_cost + serper_cost + exa_cost
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provider_breakdown, resolved_costs, core_counts = build_provider_breakdown(
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db=self.db,
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user_id=user_id,
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billing_period=billing_period,
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summary=summary,
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)
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summary_total_cost = summary.total_cost or 0.0
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# Determine the best cost value to use
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# If summary cost is 0 but we have calculated cost, use calculated cost
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# If summary cost exists but is less than calculated cost (out of sync), use calculated cost
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if calculated_total_cost > summary_total_cost:
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final_total_cost = calculated_total_cost
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else:
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final_total_cost = summary_total_cost
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# If we found a discrepancy (summary cost is 0 or less than calculated), update the DB
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if calculated_total_cost > 0 and (summary_total_cost == 0.0 or calculated_total_cost > summary_total_cost):
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logger.info(f"[UsageStats] Updating summary costs (was {summary_total_cost}): total_cost={final_total_cost:.6f}, gemini_cost={gemini_cost:.6f}, mistral_cost={mistral_cost:.6f}, video_cost={video_cost:.6f}, audio_cost={audio_cost:.6f}, image_cost={stability_cost:.6f}")
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summary.total_cost = final_total_cost
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summary.gemini_cost = gemini_cost
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summary.mistral_cost = mistral_cost
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# Update other provider costs if they exist
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if hasattr(summary, 'video_cost'):
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summary.video_cost = video_cost
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if hasattr(summary, 'audio_cost'):
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summary.audio_cost = audio_cost
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if hasattr(summary, 'stability_cost'):
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summary.stability_cost = stability_cost
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if hasattr(summary, 'image_edit_cost'):
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summary.image_edit_cost = image_edit_cost
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try:
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self.db.commit()
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except Exception as e:
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logger.error(f"[UsageStats] Error updating summary costs: {e}")
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self.db.rollback()
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calculated_total_cost, final_total_cost = calculate_final_total_cost(
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summary_total_cost=summary_total_cost,
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resolved_costs=resolved_costs,
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)
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maybe_persist_reconciled_costs(
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db=self.db,
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summary=summary,
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summary_total_cost=summary_total_cost,
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calculated_total_cost=calculated_total_cost,
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final_total_cost=final_total_cost,
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resolved_costs=resolved_costs,
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)
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# Calculate usage percentages - only for Gemini and HuggingFace
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# Use the calculated costs for accurate percentages
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usage_percentages = {}
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usage_percentages = build_default_usage_percentages(APIProvider)
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if limits:
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# Gemini
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gemini_call_limit = limits['limits'].get("gemini_calls", 0) or 0
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if gemini_call_limit > 0:
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usage_percentages['gemini_calls'] = (gemini_calls / gemini_call_limit) * 100
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else:
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usage_percentages['gemini_calls'] = 0
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usage_percentages['gemini_calls'] = (core_counts['gemini_calls'] / gemini_call_limit) * 100
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# HuggingFace (stored as mistral in database)
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mistral_call_limit = limits['limits'].get("mistral_calls", 0) or 0
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if mistral_call_limit > 0:
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usage_percentages['mistral_calls'] = (mistral_calls / mistral_call_limit) * 100
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else:
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usage_percentages['mistral_calls'] = 0
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usage_percentages['mistral_calls'] = (core_counts['mistral_calls'] / mistral_call_limit) * 100
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# Cost usage percentage - use final_total_cost (calculated from logs if needed)
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cost_limit = limits['limits'].get('monthly_cost', 0) or 0
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if cost_limit > 0:
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usage_percentages['cost'] = (final_total_cost / cost_limit) * 100
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else:
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usage_percentages['cost'] = 0
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return {
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'billing_period': billing_period,
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@@ -692,171 +493,10 @@ class UsageTrackingService:
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def get_usage_trends(self, user_id: str, months: int = 6) -> Dict[str, Any]:
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"""Get usage trends over time with self-healing from logs."""
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# Calculate billing periods
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end_date = datetime.now()
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periods = []
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for i in range(months):
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period_date = end_date - timedelta(days=30 * i)
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periods.append(period_date.strftime("%Y-%m"))
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periods.reverse() # Oldest first
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# 1. Fetch existing summaries
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summaries = self.db.query(UsageSummary).filter(
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UsageSummary.user_id == user_id,
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UsageSummary.billing_period.in_(periods)
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).all()
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summary_dict = {s.billing_period: s for s in summaries}
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# 2. Fetch aggregated logs for self-healing
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# Group by (billing_period, provider) to fix provider breakdowns too
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try:
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log_stats = self.db.query(
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APIUsageLog.billing_period,
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APIUsageLog.provider,
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func.count(APIUsageLog.id).label('calls'),
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func.sum(APIUsageLog.cost_total).label('cost'),
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func.sum(APIUsageLog.tokens_total).label('tokens')
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).filter(
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APIUsageLog.user_id == user_id,
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APIUsageLog.billing_period.in_(periods)
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).group_by(APIUsageLog.billing_period, APIUsageLog.provider).all()
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# Organize log stats by period -> provider
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log_data_by_period = {}
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for period, provider_enum, calls, cost, tokens in log_stats:
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if period not in log_data_by_period:
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log_data_by_period[period] = {}
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# Handle provider enum or string
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provider_name = provider_enum.value if hasattr(provider_enum, 'value') else str(provider_enum).lower()
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# Normalize provider names (e.g. 'GEMINI' -> 'gemini')
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if '.' in provider_name:
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provider_name = provider_name.split('.')[-1].lower()
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if provider_name not in log_data_by_period[period]:
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log_data_by_period[period][provider_name] = {'calls': 0, 'cost': 0.0, 'tokens': 0}
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log_data_by_period[period][provider_name]['calls'] += (calls or 0)
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log_data_by_period[period][provider_name]['cost'] += float(cost or 0.0)
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log_data_by_period[period][provider_name]['tokens'] += (tokens or 0)
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# 3. Update/Create Summaries based on logs
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for period in periods:
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period_logs = log_data_by_period.get(period, {})
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summary = summary_dict.get(period)
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# If no summary exists but logs do, create one
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if not summary and period_logs:
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logger.info(f"[UsageStats] Self-healing: Creating missing summary for {period}")
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summary = UsageSummary(
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user_id=user_id,
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billing_period=period,
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usage_status=UsageStatus.ACTIVE,
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total_calls=0,
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total_cost=0.0,
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total_tokens=0
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)
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self.db.add(summary)
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summary_dict[period] = summary
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if summary and period_logs:
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total_calls_calc = 0
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total_cost_calc = 0.0
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total_tokens_calc = 0
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for prov, data in period_logs.items():
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total_calls_calc += data['calls']
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total_cost_calc += data['cost']
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total_tokens_calc += data['tokens']
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# Update provider specific fields if logs > summary
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calls_attr = f"{prov}_calls"
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cost_attr = f"{prov}_cost"
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tokens_attr = f"{prov}_tokens"
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if hasattr(summary, calls_attr):
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current_val = getattr(summary, calls_attr, 0)
|
||||
if current_val < data['calls']:
|
||||
setattr(summary, calls_attr, data['calls'])
|
||||
|
||||
if hasattr(summary, cost_attr):
|
||||
current_val = getattr(summary, cost_attr, 0.0)
|
||||
# Use significant difference to avoid float noise
|
||||
if (data['cost'] - current_val) > 0.000001:
|
||||
setattr(summary, cost_attr, data['cost'])
|
||||
|
||||
if hasattr(summary, tokens_attr):
|
||||
current_val = getattr(summary, tokens_attr, 0)
|
||||
if current_val < data['tokens']:
|
||||
setattr(summary, tokens_attr, data['tokens'])
|
||||
|
||||
# Update totals if under-reported
|
||||
if (summary.total_cost or 0.0) < total_cost_calc:
|
||||
logger.info(f"[UsageStats] Self-healing cost for {period}: {summary.total_cost} -> {total_cost_calc}")
|
||||
summary.total_cost = total_cost_calc
|
||||
if (summary.total_calls or 0) < total_calls_calc:
|
||||
summary.total_calls = total_calls_calc
|
||||
if (summary.total_tokens or 0) < total_tokens_calc:
|
||||
summary.total_tokens = total_tokens_calc
|
||||
|
||||
self.db.commit()
|
||||
except Exception as e:
|
||||
logger.error(f"Failed to self-heal usage trends: {e}")
|
||||
self.db.rollback()
|
||||
|
||||
# 4. Construct Return Data
|
||||
trends = {
|
||||
'periods': periods,
|
||||
'total_calls': [],
|
||||
'total_cost': [],
|
||||
'total_tokens': [],
|
||||
'provider_trends': {}
|
||||
}
|
||||
|
||||
# Initialize provider trends structure
|
||||
for provider in APIProvider:
|
||||
provider_name = provider.value
|
||||
trends['provider_trends'][provider_name] = {
|
||||
'calls': [],
|
||||
'cost': [],
|
||||
'tokens': []
|
||||
}
|
||||
|
||||
for period in periods:
|
||||
summary = summary_dict.get(period)
|
||||
|
||||
if summary:
|
||||
trends['total_calls'].append(summary.total_calls or 0)
|
||||
trends['total_cost'].append(summary.total_cost or 0.0)
|
||||
trends['total_tokens'].append(summary.total_tokens or 0)
|
||||
|
||||
# Provider-specific trends
|
||||
for provider in APIProvider:
|
||||
provider_name = provider.value
|
||||
trends['provider_trends'][provider_name]['calls'].append(
|
||||
getattr(summary, f"{provider_name}_calls", 0) or 0
|
||||
)
|
||||
trends['provider_trends'][provider_name]['cost'].append(
|
||||
getattr(summary, f"{provider_name}_cost", 0.0) or 0.0
|
||||
)
|
||||
trends['provider_trends'][provider_name]['tokens'].append(
|
||||
getattr(summary, f"{provider_name}_tokens", 0) or 0
|
||||
)
|
||||
else:
|
||||
# No data for this period
|
||||
trends['total_calls'].append(0)
|
||||
trends['total_cost'].append(0.0)
|
||||
trends['total_tokens'].append(0)
|
||||
|
||||
for provider in APIProvider:
|
||||
provider_name = provider.value
|
||||
trends['provider_trends'][provider_name]['calls'].append(0)
|
||||
trends['provider_trends'][provider_name]['cost'].append(0.0)
|
||||
trends['provider_trends'][provider_name]['tokens'].append(0)
|
||||
|
||||
return trends
|
||||
periods = build_billing_periods(months)
|
||||
summary_dict = query_usage_summaries(self.db, user_id, periods)
|
||||
self_heal_summaries_from_logs(self.db, user_id, periods, summary_dict)
|
||||
return build_usage_trends_response(periods, summary_dict)
|
||||
|
||||
async def enforce_usage_limits(self, user_id: str, provider: APIProvider,
|
||||
tokens_requested: int = 0) -> Tuple[bool, str, Dict[str, Any]]:
|
||||
@@ -890,70 +530,11 @@ class UsageTrackingService:
|
||||
).first()
|
||||
|
||||
if not summary:
|
||||
# Nothing to reset
|
||||
return {"reset": False, "reason": "no_summary"}
|
||||
|
||||
# CRITICAL: Reset ALL usage counters to 0 so user gets fresh limits with new/renewed plan
|
||||
# Clear LIMIT_REACHED status
|
||||
summary.usage_status = UsageStatus.ACTIVE
|
||||
|
||||
# Reset all LLM provider call counters
|
||||
summary.gemini_calls = 0
|
||||
summary.openai_calls = 0
|
||||
summary.anthropic_calls = 0
|
||||
summary.mistral_calls = 0
|
||||
summary.wavespeed_calls = 0
|
||||
|
||||
# Reset all LLM provider token counters
|
||||
summary.gemini_tokens = 0
|
||||
summary.openai_tokens = 0
|
||||
summary.anthropic_tokens = 0
|
||||
summary.mistral_tokens = 0
|
||||
summary.wavespeed_tokens = 0
|
||||
|
||||
# Reset search/research provider counters
|
||||
summary.tavily_calls = 0
|
||||
summary.serper_calls = 0
|
||||
summary.metaphor_calls = 0
|
||||
summary.firecrawl_calls = 0
|
||||
|
||||
# Reset image generation counters
|
||||
summary.stability_calls = 0
|
||||
summary.exa_calls = 0
|
||||
|
||||
# Reset video generation counters
|
||||
summary.video_calls = 0
|
||||
|
||||
# Reset audio generation counters
|
||||
summary.audio_calls = 0
|
||||
|
||||
# Reset image editing counters
|
||||
summary.image_edit_calls = 0
|
||||
|
||||
# Reset cost counters
|
||||
summary.gemini_cost = 0.0
|
||||
summary.openai_cost = 0.0
|
||||
summary.anthropic_cost = 0.0
|
||||
summary.mistral_cost = 0.0
|
||||
summary.wavespeed_cost = 0.0
|
||||
summary.tavily_cost = 0.0
|
||||
summary.serper_cost = 0.0
|
||||
summary.metaphor_cost = 0.0
|
||||
summary.firecrawl_cost = 0.0
|
||||
summary.stability_cost = 0.0
|
||||
summary.exa_cost = 0.0
|
||||
summary.video_cost = 0.0
|
||||
summary.image_edit_cost = 0.0
|
||||
summary.audio_cost = 0.0
|
||||
|
||||
# Reset totals
|
||||
summary.total_calls = 0
|
||||
summary.total_tokens = 0
|
||||
summary.total_cost = 0.0
|
||||
|
||||
summary.updated_at = datetime.utcnow()
|
||||
reset_usage_summary_counters(summary)
|
||||
self.db.commit()
|
||||
|
||||
|
||||
logger.info(f"Reset usage counters for user {user_id} in billing period {billing_period} after renewal")
|
||||
return {"reset": True, "counters_reset": True}
|
||||
except Exception as e:
|
||||
|
||||
Reference in New Issue
Block a user