Add scheduled automation task and update URL routing

- Introduced a new scheduled task for executing automation rules every 5 minutes in the Celery beat schedule.
- Updated URL routing to include a new endpoint for automation-related functionalities.
- Refactored imports in various modules to align with the new business layer structure, ensuring backward compatibility for billing models, exceptions, and services.
This commit is contained in:
IGNY8 VPS (Salman)
2025-11-16 22:11:05 +00:00
parent 455358ecfc
commit 7f8982a0ab
40 changed files with 1822 additions and 778 deletions

View File

@@ -1,21 +1,4 @@
"""
Credit Cost Constants
Phase 0: Credit-only system costs per operation
"""
CREDIT_COSTS = {
'clustering': 10, # Per clustering request
'idea_generation': 15, # Per cluster → ideas request
'content_generation': 1, # Per 100 words
'image_prompt_extraction': 2, # Per content piece
'image_generation': 5, # Per image
'linking': 8, # Per content piece (NEW)
'optimization': 1, # Per 200 words (NEW)
'site_structure_generation': 50, # Per site blueprint (NEW)
'site_page_generation': 20, # Per page (NEW)
# Legacy operation types (for backward compatibility)
'ideas': 15, # Alias for idea_generation
'content': 3, # Legacy: 3 credits per content piece
'images': 5, # Alias for image_generation
'reparse': 1, # Per reparse
}
# Backward compatibility alias - constants moved to business/billing/
from igny8_core.business.billing.constants import CREDIT_COSTS
__all__ = ['CREDIT_COSTS']

View File

@@ -1,14 +1,4 @@
"""
Billing Exceptions
"""
class InsufficientCreditsError(Exception):
"""Raised when account doesn't have enough credits"""
pass
class CreditCalculationError(Exception):
"""Raised when credit calculation fails"""
pass
# Backward compatibility aliases - exceptions moved to business/billing/
from igny8_core.business.billing.exceptions import InsufficientCreditsError, CreditCalculationError
__all__ = ['InsufficientCreditsError', 'CreditCalculationError']

View File

@@ -1,72 +1,4 @@
"""
Billing Models for Credit System
"""
from django.db import models
from django.core.validators import MinValueValidator
from igny8_core.auth.models import AccountBaseModel
class CreditTransaction(AccountBaseModel):
"""Track all credit transactions (additions, deductions)"""
TRANSACTION_TYPE_CHOICES = [
('purchase', 'Purchase'),
('subscription', 'Subscription Renewal'),
('refund', 'Refund'),
('deduction', 'Usage Deduction'),
('adjustment', 'Manual Adjustment'),
]
transaction_type = models.CharField(max_length=20, choices=TRANSACTION_TYPE_CHOICES, db_index=True)
amount = models.IntegerField(help_text="Positive for additions, negative for deductions")
balance_after = models.IntegerField(help_text="Credit balance after this transaction")
description = models.CharField(max_length=255)
metadata = models.JSONField(default=dict, help_text="Additional context (AI call details, etc.)")
created_at = models.DateTimeField(auto_now_add=True)
class Meta:
db_table = 'igny8_credit_transactions'
ordering = ['-created_at']
indexes = [
models.Index(fields=['account', 'transaction_type']),
models.Index(fields=['account', 'created_at']),
]
def __str__(self):
account = getattr(self, 'account', None)
return f"{self.get_transaction_type_display()} - {self.amount} credits - {account.name if account else 'No Account'}"
class CreditUsageLog(AccountBaseModel):
"""Detailed log of credit usage per AI operation"""
OPERATION_TYPE_CHOICES = [
('clustering', 'Keyword Clustering'),
('ideas', 'Content Ideas Generation'),
('content', 'Content Generation'),
('images', 'Image Generation'),
('reparse', 'Content Reparse'),
]
operation_type = models.CharField(max_length=50, choices=OPERATION_TYPE_CHOICES, db_index=True)
credits_used = models.IntegerField(validators=[MinValueValidator(0)])
cost_usd = models.DecimalField(max_digits=10, decimal_places=4, null=True, blank=True)
model_used = models.CharField(max_length=100, blank=True)
tokens_input = models.IntegerField(null=True, blank=True, validators=[MinValueValidator(0)])
tokens_output = models.IntegerField(null=True, blank=True, validators=[MinValueValidator(0)])
related_object_type = models.CharField(max_length=50, blank=True) # 'keyword', 'cluster', 'task'
related_object_id = models.IntegerField(null=True, blank=True)
metadata = models.JSONField(default=dict)
created_at = models.DateTimeField(auto_now_add=True)
class Meta:
db_table = 'igny8_credit_usage_logs'
ordering = ['-created_at']
indexes = [
models.Index(fields=['account', 'operation_type']),
models.Index(fields=['account', 'created_at']),
models.Index(fields=['account', 'operation_type', 'created_at']),
]
def __str__(self):
account = getattr(self, 'account', None)
return f"{self.get_operation_type_display()} - {self.credits_used} credits - {account.name if account else 'No Account'}"
# Backward compatibility aliases - models moved to business/billing/
from igny8_core.business.billing.models import CreditTransaction, CreditUsageLog
__all__ = ['CreditTransaction', 'CreditUsageLog']

View File

@@ -1,264 +1,4 @@
"""
Credit Service for managing credit transactions and deductions
"""
from django.db import transaction
from django.utils import timezone
from .models import CreditTransaction, CreditUsageLog
from .constants import CREDIT_COSTS
from .exceptions import InsufficientCreditsError, CreditCalculationError
from igny8_core.auth.models import Account
class CreditService:
"""Service for managing credits"""
@staticmethod
def get_credit_cost(operation_type, amount=None):
"""
Get credit cost for operation.
Args:
operation_type: Type of operation (from CREDIT_COSTS)
amount: Optional amount (word count, image count, etc.)
Returns:
int: Number of credits required
Raises:
CreditCalculationError: If operation type is unknown
"""
base_cost = CREDIT_COSTS.get(operation_type, 0)
if base_cost == 0:
raise CreditCalculationError(f"Unknown operation type: {operation_type}")
# Variable cost operations
if operation_type == 'content_generation' and amount:
# Per 100 words
return max(1, int(base_cost * (amount / 100)))
elif operation_type == 'optimization' and amount:
# Per 200 words
return max(1, int(base_cost * (amount / 200)))
elif operation_type == 'image_generation' and amount:
# Per image
return base_cost * amount
elif operation_type == 'idea_generation' and amount:
# Per idea
return base_cost * amount
# Fixed cost operations
return base_cost
@staticmethod
def check_credits(account, operation_type, amount=None):
"""
Check if account has sufficient credits for an operation.
Args:
account: Account instance
operation_type: Type of operation
amount: Optional amount (word count, image count, etc.)
Raises:
InsufficientCreditsError: If account doesn't have enough credits
"""
required = CreditService.get_credit_cost(operation_type, amount)
if account.credits < required:
raise InsufficientCreditsError(
f"Insufficient credits. Required: {required}, Available: {account.credits}"
)
return True
@staticmethod
def check_credits_legacy(account, required_credits):
"""
Legacy method: Check if account has enough credits (for backward compatibility).
Args:
account: Account instance
required_credits: Number of credits required
Raises:
InsufficientCreditsError: If account doesn't have enough credits
"""
if account.credits < required_credits:
raise InsufficientCreditsError(
f"Insufficient credits. Required: {required_credits}, Available: {account.credits}"
)
@staticmethod
@transaction.atomic
def deduct_credits(account, amount, operation_type, description, metadata=None, cost_usd=None, model_used=None, tokens_input=None, tokens_output=None, related_object_type=None, related_object_id=None):
"""
Deduct credits and log transaction.
Args:
account: Account instance
amount: Number of credits to deduct
operation_type: Type of operation (from CreditUsageLog.OPERATION_TYPE_CHOICES)
description: Description of the transaction
metadata: Optional metadata dict
cost_usd: Optional cost in USD
model_used: Optional AI model used
tokens_input: Optional input tokens
tokens_output: Optional output tokens
related_object_type: Optional related object type
related_object_id: Optional related object ID
Returns:
int: New credit balance
"""
# Check sufficient credits (legacy: amount is already calculated)
CreditService.check_credits_legacy(account, amount)
# Deduct from account.credits
account.credits -= amount
account.save(update_fields=['credits'])
# Create CreditTransaction
CreditTransaction.objects.create(
account=account,
transaction_type='deduction',
amount=-amount, # Negative for deduction
balance_after=account.credits,
description=description,
metadata=metadata or {}
)
# Create CreditUsageLog
CreditUsageLog.objects.create(
account=account,
operation_type=operation_type,
credits_used=amount,
cost_usd=cost_usd,
model_used=model_used or '',
tokens_input=tokens_input,
tokens_output=tokens_output,
related_object_type=related_object_type or '',
related_object_id=related_object_id,
metadata=metadata or {}
)
return account.credits
@staticmethod
@transaction.atomic
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):
"""
Deduct credits for an operation (convenience method that calculates cost automatically).
Args:
account: Account instance
operation_type: Type of operation
amount: Optional amount (word count, image count, etc.)
description: Optional description (auto-generated if not provided)
metadata: Optional metadata dict
cost_usd: Optional cost in USD
model_used: Optional AI model used
tokens_input: Optional input tokens
tokens_output: Optional output tokens
related_object_type: Optional related object type
related_object_id: Optional related object ID
Returns:
int: New credit balance
"""
# Calculate credit cost
credits_required = CreditService.get_credit_cost(operation_type, amount)
# Check sufficient credits
CreditService.check_credits(account, operation_type, amount)
# Auto-generate description if not provided
if not description:
if operation_type == 'clustering':
description = f"Clustering operation"
elif operation_type == 'idea_generation':
description = f"Generated {amount or 1} idea(s)"
elif operation_type == 'content_generation':
description = f"Generated content ({amount or 0} words)"
elif operation_type == 'image_generation':
description = f"Generated {amount or 1} image(s)"
else:
description = f"{operation_type} operation"
return CreditService.deduct_credits(
account=account,
amount=credits_required,
operation_type=operation_type,
description=description,
metadata=metadata,
cost_usd=cost_usd,
model_used=model_used,
tokens_input=tokens_input,
tokens_output=tokens_output,
related_object_type=related_object_type,
related_object_id=related_object_id
)
@staticmethod
@transaction.atomic
def add_credits(account, amount, transaction_type, description, metadata=None):
"""
Add credits (purchase, subscription, etc.).
Args:
account: Account instance
amount: Number of credits to add
transaction_type: Type of transaction (from CreditTransaction.TRANSACTION_TYPE_CHOICES)
description: Description of the transaction
metadata: Optional metadata dict
Returns:
int: New credit balance
"""
# Add to account.credits
account.credits += amount
account.save(update_fields=['credits'])
# Create CreditTransaction
CreditTransaction.objects.create(
account=account,
transaction_type=transaction_type,
amount=amount, # Positive for addition
balance_after=account.credits,
description=description,
metadata=metadata or {}
)
return account.credits
@staticmethod
def calculate_credits_for_operation(operation_type, **kwargs):
"""
Calculate credits needed for an operation.
Legacy method - use get_credit_cost() instead.
Args:
operation_type: Type of operation
**kwargs: Operation-specific parameters
Returns:
int: Number of credits required
Raises:
CreditCalculationError: If calculation fails
"""
# Map legacy operation types
if operation_type == 'ideas':
operation_type = 'idea_generation'
elif operation_type == 'content':
operation_type = 'content_generation'
elif operation_type == 'images':
operation_type = 'image_generation'
# Extract amount from kwargs
amount = None
if 'word_count' in kwargs:
amount = kwargs.get('word_count')
elif 'image_count' in kwargs:
amount = kwargs.get('image_count')
elif 'idea_count' in kwargs:
amount = kwargs.get('idea_count')
return CreditService.get_credit_cost(operation_type, amount)
# Backward compatibility alias - service moved to business/billing/services/
from igny8_core.business.billing.services.credit_service import CreditService
__all__ = ['CreditService']