Phase 0: Update credit costs and CreditService, add credit checks to AI Engine
- Updated CREDIT_COSTS to match Phase 0 spec (flat structure) - Added get_credit_cost() method to CreditService - Updated check_credits() to accept operation_type and amount - Added deduct_credits_for_operation() convenience method - Updated AI Engine to check credits BEFORE AI call - Updated AI Engine to deduct credits AFTER successful execution - Added helper methods for operation type mapping and amount calculation
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IGNY8 VPS (Salman)
@@ -13,9 +13,65 @@ class CreditService:
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"""Service for managing credits"""
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@staticmethod
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def check_credits(account, required_credits):
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def get_credit_cost(operation_type, amount=None):
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"""
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Check if account has enough credits.
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Get credit cost for operation.
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Args:
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operation_type: Type of operation (from CREDIT_COSTS)
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amount: Optional amount (word count, image count, etc.)
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Returns:
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int: Number of credits required
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Raises:
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CreditCalculationError: If operation type is unknown
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"""
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base_cost = CREDIT_COSTS.get(operation_type, 0)
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if base_cost == 0:
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raise CreditCalculationError(f"Unknown operation type: {operation_type}")
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# Variable cost operations
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if operation_type == 'content_generation' and amount:
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# Per 100 words
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return max(1, int(base_cost * (amount / 100)))
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elif operation_type == 'optimization' and amount:
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# Per 200 words
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return max(1, int(base_cost * (amount / 200)))
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elif operation_type == 'image_generation' and amount:
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# Per image
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return base_cost * amount
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elif operation_type == 'idea_generation' and amount:
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# Per idea
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return base_cost * amount
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# Fixed cost operations
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return base_cost
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@staticmethod
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def check_credits(account, operation_type, amount=None):
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"""
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Check if account has sufficient credits for an operation.
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Args:
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account: Account instance
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operation_type: Type of operation
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amount: Optional amount (word count, image count, etc.)
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Raises:
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InsufficientCreditsError: If account doesn't have enough credits
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"""
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required = CreditService.get_credit_cost(operation_type, amount)
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if account.credits < required:
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raise InsufficientCreditsError(
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f"Insufficient credits. Required: {required}, Available: {account.credits}"
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)
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return True
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@staticmethod
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def check_credits_legacy(account, required_credits):
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"""
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Legacy method: Check if account has enough credits (for backward compatibility).
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Args:
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account: Account instance
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@@ -51,8 +107,8 @@ class CreditService:
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Returns:
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int: New credit balance
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"""
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# Check sufficient credits
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CreditService.check_credits(account, amount)
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# Check sufficient credits (legacy: amount is already calculated)
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CreditService.check_credits_legacy(account, amount)
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# Deduct from account.credits
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account.credits -= amount
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@@ -84,6 +140,61 @@ class CreditService:
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return account.credits
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@staticmethod
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@transaction.atomic
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def deduct_credits_for_operation(account, operation_type, amount=None, description=None, metadata=None, cost_usd=None, model_used=None, tokens_input=None, tokens_output=None, related_object_type=None, related_object_id=None):
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"""
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Deduct credits for an operation (convenience method that calculates cost automatically).
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Args:
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account: Account instance
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operation_type: Type of operation
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amount: Optional amount (word count, image count, etc.)
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description: Optional description (auto-generated if not provided)
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metadata: Optional metadata dict
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cost_usd: Optional cost in USD
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model_used: Optional AI model used
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tokens_input: Optional input tokens
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tokens_output: Optional output tokens
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related_object_type: Optional related object type
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related_object_id: Optional related object ID
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Returns:
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int: New credit balance
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"""
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# Calculate credit cost
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credits_required = CreditService.get_credit_cost(operation_type, amount)
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# Check sufficient credits
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CreditService.check_credits(account, operation_type, amount)
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# Auto-generate description if not provided
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if not description:
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if operation_type == 'clustering':
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description = f"Clustering operation"
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elif operation_type == 'idea_generation':
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description = f"Generated {amount or 1} idea(s)"
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elif operation_type == 'content_generation':
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description = f"Generated content ({amount or 0} words)"
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elif operation_type == 'image_generation':
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description = f"Generated {amount or 1} image(s)"
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else:
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description = f"{operation_type} operation"
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return CreditService.deduct_credits(
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account=account,
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amount=credits_required,
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operation_type=operation_type,
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description=description,
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metadata=metadata,
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cost_usd=cost_usd,
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model_used=model_used,
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tokens_input=tokens_input,
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tokens_output=tokens_output,
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related_object_type=related_object_type,
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related_object_id=related_object_id
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)
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@staticmethod
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@transaction.atomic
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def add_credits(account, amount, transaction_type, description, metadata=None):
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@@ -120,6 +231,7 @@ class CreditService:
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def calculate_credits_for_operation(operation_type, **kwargs):
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"""
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Calculate credits needed for an operation.
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Legacy method - use get_credit_cost() instead.
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Args:
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operation_type: Type of operation
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@@ -131,31 +243,22 @@ class CreditService:
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Raises:
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CreditCalculationError: If calculation fails
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"""
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if operation_type not in CREDIT_COSTS:
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raise CreditCalculationError(f"Unknown operation type: {operation_type}")
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cost_config = CREDIT_COSTS[operation_type]
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if operation_type == 'clustering':
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# 1 credit per 30 keywords
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keyword_count = kwargs.get('keyword_count', 0)
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credits = max(1, int(keyword_count * cost_config['per_keyword']))
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return credits
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elif operation_type == 'ideas':
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# 1 credit per idea
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idea_count = kwargs.get('idea_count', 1)
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return cost_config['base'] * idea_count
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# Map legacy operation types
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if operation_type == 'ideas':
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operation_type = 'idea_generation'
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elif operation_type == 'content':
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# 3 credits per content piece
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content_count = kwargs.get('content_count', 1)
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return cost_config['base'] * content_count
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operation_type = 'content_generation'
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elif operation_type == 'images':
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# 1 credit per image
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image_count = kwargs.get('image_count', 1)
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return cost_config['base'] * image_count
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elif operation_type == 'reparse':
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# 1 credit per reparse
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return cost_config['base']
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operation_type = 'image_generation'
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return cost_config['base']
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# Extract amount from kwargs
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amount = None
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if 'word_count' in kwargs:
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amount = kwargs.get('word_count')
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elif 'image_count' in kwargs:
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amount = kwargs.get('image_count')
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elif 'idea_count' in kwargs:
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amount = kwargs.get('idea_count')
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return CreditService.get_credit_cost(operation_type, amount)
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