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backend/igny8_core/ai/validators/__init__.py

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+"""
+AI Validators Package
+Shared validation logic for AI functions
+"""
+from .cluster_validators import validate_minimum_keywords, validate_keyword_selection
+
+# The codebase also contains a module-level file `ai/validators.py` which defines
+# common validator helpers (e.g. `validate_ids`). Because there is both a
+# package directory `ai/validators/` and a module file `ai/validators.py`, Python
+# will resolve `igny8_core.ai.validators` to the package and not the module file.
+# To avoid changing many imports across the project, load the module file here
+# and re-export the commonly used functions.
+import importlib.util
+import os
+
+_module_path = os.path.normpath(os.path.join(os.path.dirname(__file__), '..', 'validators.py'))
+if os.path.exists(_module_path):
+	spec = importlib.util.spec_from_file_location('igny8_core.ai._validators_module', _module_path)
+	_validators_mod = importlib.util.module_from_spec(spec)
+	spec.loader.exec_module(_validators_mod)
+	# Re-export commonly used functions from the module file
+	validate_ids = getattr(_validators_mod, 'validate_ids', None)
+	validate_keywords_exist = getattr(_validators_mod, 'validate_keywords_exist', None)
+	validate_cluster_limits = getattr(_validators_mod, 'validate_cluster_limits', None)
+	validate_cluster_exists = getattr(_validators_mod, 'validate_cluster_exists', None)
+	validate_tasks_exist = getattr(_validators_mod, 'validate_tasks_exist', None)
+	validate_api_key = getattr(_validators_mod, 'validate_api_key', None)
+	validate_model = getattr(_validators_mod, 'validate_model', None)
+	validate_image_size = getattr(_validators_mod, 'validate_image_size', None)
+else:
+	# Module file missing - keep names defined if cluster validators provide them
+	validate_ids = None
+	validate_keywords_exist = None
+	validate_cluster_limits = None
+	validate_cluster_exists = None
+	validate_tasks_exist = None
+	validate_api_key = None
+	validate_model = None
+	validate_image_size = None
+
+__all__ = [
+	'validate_minimum_keywords',
+	'validate_keyword_selection',
+	'validate_ids',
+	'validate_keywords_exist',
+	'validate_cluster_limits',
+	'validate_cluster_exists',
+	'validate_tasks_exist',
+	'validate_api_key',
+	'validate_model',
+	'validate_image_size',
+]

backend/igny8_core/ai/validators/cluster_validators.py

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+"""
+Cluster-specific validators
+Shared between auto-cluster function and automation pipeline
+"""
+import logging
+from typing import Dict, List
+
+logger = logging.getLogger(__name__)
+
+
+def validate_minimum_keywords(
+    keyword_ids: List[int],
+    account=None,
+    min_required: int = 5
+) -> Dict:
+    """
+    Validate that sufficient keywords are available for clustering
+    
+    Args:
+        keyword_ids: List of keyword IDs to cluster
+        account: Account object for filtering
+        min_required: Minimum number of keywords required (default: 5)
+    
+    Returns:
+        Dict with 'valid' (bool) and 'error' (str) or 'count' (int)
+    """
+    from igny8_core.modules.planner.models import Keywords
+    
+    # Build queryset
+    queryset = Keywords.objects.filter(id__in=keyword_ids, status='new')
+    
+    if account:
+        queryset = queryset.filter(account=account)
+    
+    # Count available keywords
+    count = queryset.count()
+    
+    # Validate minimum
+    if count < min_required:
+        return {
+            'valid': False,
+            'error': f'Insufficient keywords for clustering. Need at least {min_required} keywords, but only {count} available.',
+            'count': count,
+            'required': min_required
+        }
+    
+    return {
+        'valid': True,
+        'count': count,
+        'required': min_required
+    }
+
+
+def validate_keyword_selection(
+    selected_ids: List[int],
+    available_count: int,
+    min_required: int = 5
+) -> Dict:
+    """
+    Validate keyword selection (for frontend validation)
+    
+    Args:
+        selected_ids: List of selected keyword IDs
+        available_count: Total count of available keywords
+        min_required: Minimum required
+    
+    Returns:
+        Dict with validation result
+    """
+    selected_count = len(selected_ids)
+    
+    # Check if any keywords selected
+    if selected_count == 0:
+        return {
+            'valid': False,
+            'error': 'No keywords selected',
+            'type': 'NO_SELECTION'
+        }
+    
+    # Check if enough selected
+    if selected_count < min_required:
+        return {
+            'valid': False,
+            'error': f'Please select at least {min_required} keywords. Currently selected: {selected_count}',
+            'type': 'INSUFFICIENT_SELECTION',
+            'selected': selected_count,
+            'required': min_required
+        }
+    
+    # Check if enough available (even if not all selected)
+    if available_count < min_required:
+        return {
+            'valid': False,
+            'error': f'Not enough keywords available. Need at least {min_required} keywords, but only {available_count} exist.',
+            'type': 'INSUFFICIENT_AVAILABLE',
+            'available': available_count,
+            'required': min_required
+        }
+    
+    return {
+        'valid': True,
+        'selected': selected_count,
+        'available': available_count,
+        'required': min_required
+    }