288 lines
14 KiB
Python
288 lines
14 KiB
Python
"""
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Script to update Basic plan subscription limits for testing rate limits and renewal flows.
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Updates:
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- LLM Calls (all providers): 10 calls (was 500-1000)
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- LLM Tokens (all providers): 5000 tokens (increased from 2000 to support research workflow)
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- Images: 5 images (was 50)
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This script updates the SubscriptionPlan table, which automatically applies to all users
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who have a Basic plan subscription via the plan_id foreign key.
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"""
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import sys
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import os
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from pathlib import Path
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from datetime import datetime, timezone
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# Add the backend directory to Python path
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backend_dir = Path(__file__).parent.parent
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sys.path.insert(0, str(backend_dir))
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from sqlalchemy import create_engine
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from sqlalchemy.orm import sessionmaker
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from loguru import logger
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from models.subscription_models import SubscriptionPlan, SubscriptionTier, UserSubscription, UsageStatus
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from services.database import DATABASE_URL
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def update_basic_plan_limits():
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"""Update Basic plan limits for testing rate limits and renewal."""
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try:
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engine = create_engine(DATABASE_URL, echo=False)
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SessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine)
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db = SessionLocal()
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try:
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# Find Basic plan
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basic_plan = db.query(SubscriptionPlan).filter(
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SubscriptionPlan.tier == SubscriptionTier.BASIC
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).first()
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if not basic_plan:
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logger.error("❌ Basic plan not found in database!")
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return False
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# Store old values for logging
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old_limits = {
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'gemini_calls': basic_plan.gemini_calls_limit,
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'mistral_calls': basic_plan.mistral_calls_limit,
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'gemini_tokens': basic_plan.gemini_tokens_limit,
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'mistral_tokens': basic_plan.mistral_tokens_limit,
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'stability_calls': basic_plan.stability_calls_limit,
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}
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logger.info(f"📋 Current Basic plan limits:")
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logger.info(f" Gemini Calls: {old_limits['gemini_calls']}")
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logger.info(f" Mistral Calls: {old_limits['mistral_calls']}")
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logger.info(f" Gemini Tokens: {old_limits['gemini_tokens']}")
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logger.info(f" Mistral Tokens: {old_limits['mistral_tokens']}")
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logger.info(f" Images (Stability): {old_limits['stability_calls']}")
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# Update unified AI text generation limit to 10
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basic_plan.ai_text_generation_calls_limit = 10
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# Legacy per-provider limits (kept for backwards compatibility, but not used for enforcement)
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basic_plan.gemini_calls_limit = 1000
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basic_plan.openai_calls_limit = 500
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basic_plan.anthropic_calls_limit = 200
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basic_plan.mistral_calls_limit = 500
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# Update all LLM provider token limits to 20000 (increased from 5000 for better stability)
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basic_plan.gemini_tokens_limit = 20000
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basic_plan.openai_tokens_limit = 20000
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basic_plan.anthropic_tokens_limit = 20000
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basic_plan.mistral_tokens_limit = 20000
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# Update image generation limit to 25 (minimum 10 for podcast workflows)
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basic_plan.stability_calls_limit = 25
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# Update image edit limit to 25 (podcast episode covers + scene images)
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basic_plan.image_edit_calls_limit = 25
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# Update audio generation limit to 100 (TTS for podcast narration)
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basic_plan.audio_calls_limit = 100
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# Update timestamp
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basic_plan.updated_at = datetime.now(timezone.utc)
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logger.info("\n📝 New Basic plan limits:")
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logger.info(f" LLM Calls (all providers): 10")
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logger.info(f" LLM Tokens (all providers): 20000 (increased from 5000)")
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logger.info(f" Images (stability): 25")
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logger.info(f" Image Edits: 25")
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logger.info(f" Audio Calls: 100")
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# Count and get affected users
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user_subscriptions = db.query(UserSubscription).filter(
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UserSubscription.plan_id == basic_plan.id,
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UserSubscription.is_active == True
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).all()
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affected_users = len(user_subscriptions)
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logger.info(f"\n👥 Users affected: {affected_users}")
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if affected_users > 0:
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logger.info("\n📋 Affected user IDs:")
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for sub in user_subscriptions:
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logger.info(f" - {sub.user_id}")
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else:
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logger.info(" (No active Basic plan subscriptions found)")
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# Commit plan limit changes first
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db.commit()
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logger.info("\n✅ Basic plan limits updated successfully!")
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# Cap usage at new limits for all affected users (preserve historical data, but cap enforcement)
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logger.info("\n🔄 Capping usage counters at new limits for Basic plan users...")
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logger.info(" (Historical usage preserved, but capped to allow new calls within limits)")
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from models.subscription_models import UsageSummary
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from services.subscription import PricingService
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pricing_service = PricingService(db)
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capped_count = 0
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# New limits - use unified AI text generation limit if available
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new_call_limit = getattr(basic_plan, 'ai_text_generation_calls_limit', None) or basic_plan.gemini_calls_limit
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new_token_limit = basic_plan.gemini_tokens_limit # 5000 (increased from 2000)
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new_image_limit = basic_plan.stability_calls_limit # 5
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for sub in user_subscriptions:
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try:
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# Get current billing period for this user
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current_period = pricing_service.get_current_billing_period(sub.user_id) or datetime.now(timezone.utc).strftime("%Y-%m")
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# Find usage summary for current period
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usage_summary = db.query(UsageSummary).filter(
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UsageSummary.user_id == sub.user_id,
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UsageSummary.billing_period == current_period
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).first()
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if usage_summary:
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# Store old values for logging
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old_gemini = usage_summary.gemini_calls or 0
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old_mistral = usage_summary.mistral_calls or 0
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old_openai = usage_summary.openai_calls or 0
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old_anthropic = usage_summary.anthropic_calls or 0
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old_tokens = max(
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usage_summary.gemini_tokens or 0,
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usage_summary.openai_tokens or 0,
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usage_summary.anthropic_tokens or 0,
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usage_summary.mistral_tokens or 0
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)
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old_images = usage_summary.stability_calls or 0
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# Cap LLM provider counters at new limits (don't reset, just cap)
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# This allows historical data to remain but prevents blocking from old usage
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usage_summary.gemini_calls = min(old_gemini, new_call_limit)
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usage_summary.mistral_calls = min(old_mistral, new_call_limit)
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usage_summary.openai_calls = min(old_openai, new_call_limit)
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usage_summary.anthropic_calls = min(old_anthropic, new_call_limit)
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# Cap token counters at new limits
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usage_summary.gemini_tokens = min(usage_summary.gemini_tokens or 0, new_token_limit)
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usage_summary.openai_tokens = min(usage_summary.openai_tokens or 0, new_token_limit)
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usage_summary.anthropic_tokens = min(usage_summary.anthropic_tokens or 0, new_token_limit)
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usage_summary.mistral_tokens = min(usage_summary.mistral_tokens or 0, new_token_limit)
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# Cap image counter at new limit
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usage_summary.stability_calls = min(old_images, new_image_limit)
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# Update totals based on capped values (approximate)
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# Recalculate total_calls and total_tokens based on capped provider values
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total_capped_calls = (
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usage_summary.gemini_calls +
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usage_summary.mistral_calls +
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usage_summary.openai_calls +
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usage_summary.anthropic_calls +
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usage_summary.stability_calls
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)
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total_capped_tokens = (
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usage_summary.gemini_tokens +
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usage_summary.mistral_tokens +
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usage_summary.openai_tokens +
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usage_summary.anthropic_tokens
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)
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usage_summary.total_calls = total_capped_calls
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usage_summary.total_tokens = total_capped_tokens
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# Reset status to active to allow new calls
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usage_summary.usage_status = UsageStatus.ACTIVE
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usage_summary.updated_at = datetime.now(timezone.utc)
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db.commit()
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capped_count += 1
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logger.info(f" ✅ Capped usage for user {sub.user_id}:")
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logger.info(f" Gemini Calls: {old_gemini} → {usage_summary.gemini_calls} (limit: {new_call_limit})")
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logger.info(f" Mistral Calls: {old_mistral} → {usage_summary.mistral_calls} (limit: {new_call_limit})")
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logger.info(f" Tokens: {old_tokens} → {max(usage_summary.gemini_tokens, usage_summary.mistral_tokens)} (limit: {new_token_limit})")
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logger.info(f" Images: {old_images} → {usage_summary.stability_calls} (limit: {new_image_limit})")
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else:
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logger.info(f" ℹ️ No usage summary found for user {sub.user_id} (period {current_period})")
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except Exception as cap_error:
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logger.error(f" ❌ Error capping usage for user {sub.user_id}: {cap_error}")
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import traceback
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logger.error(traceback.format_exc())
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db.rollback()
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if capped_count > 0:
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logger.info(f"\n✅ Capped usage counters for {capped_count} user(s)")
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logger.info(" Historical usage preserved, but capped at new limits to allow new calls")
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else:
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logger.info("\nℹ️ No usage counters to cap")
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# Note about cache clearing
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logger.info("\n🔄 Cache Information:")
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logger.info(" The subscription limits cache is per-instance and will refresh on next request.")
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logger.info(" No manual cache clearing needed - limits will be read from database on next check.")
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# Display final summary
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logger.info("\n" + "="*60)
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logger.info("BASIC PLAN UPDATE SUMMARY")
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logger.info("="*60)
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logger.info(f"\nPlan: {basic_plan.name} ({basic_plan.tier.value})")
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logger.info(f"Price: ${basic_plan.price_monthly}/mo, ${basic_plan.price_yearly}/yr")
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logger.info(f"\nUpdated Limits:")
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logger.info(f" LLM Calls (gemini/openai/anthropic/mistral): {basic_plan.gemini_calls_limit}")
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logger.info(f" LLM Tokens (gemini/openai/anthropic/mistral): {basic_plan.gemini_tokens_limit}")
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logger.info(f" Images (stability): {basic_plan.stability_calls_limit}")
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logger.info(f"\nUsers Affected: {affected_users}")
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logger.info("\n" + "="*60)
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logger.info("\n💡 Note: These limits apply immediately to all Basic plan users.")
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logger.info(" Historical usage has been preserved but capped at new limits.")
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logger.info(" Users can continue making new calls up to the new limits.")
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logger.info(" Users will hit rate limits faster for testing purposes.")
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return True
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except Exception as e:
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db.rollback()
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logger.error(f"❌ Error updating Basic plan: {e}")
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import traceback
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logger.error(traceback.format_exc())
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raise
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finally:
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db.close()
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except Exception as e:
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logger.error(f"❌ Failed to connect to database: {e}")
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import traceback
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logger.error(traceback.format_exc())
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return False
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if __name__ == "__main__":
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logger.info("🚀 Starting Basic plan limits update...")
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logger.info("="*60)
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logger.info("This will update Basic plan limits for testing rate limits:")
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logger.info(" - LLM Calls: 10 (all providers)")
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logger.info(" - LLM Tokens: 20000 (all providers, increased from 5000)")
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logger.info(" - Images: 5")
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logger.info("="*60)
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# Ask for confirmation in non-interactive mode, proceed directly
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# In interactive mode, you can add: input("\nPress Enter to continue or Ctrl+C to cancel...")
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try:
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success = update_basic_plan_limits()
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if success:
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logger.info("\n✅ Script completed successfully!")
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sys.exit(0)
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else:
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logger.error("\n❌ Script failed!")
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sys.exit(1)
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except KeyboardInterrupt:
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logger.info("\n⚠️ Script cancelled by user")
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sys.exit(1)
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except Exception as e:
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logger.error(f"\n❌ Unexpected error: {e}")
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sys.exit(1)
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