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Phase 1: Progress modal text, SiteSerializer fields, Notification store, SiteCard checklist

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- Improved progress modal messages in ai/engine.py (Section 4)
- Added keywords_count and has_integration to SiteSerializer (Section 6)
- Added notificationStore.ts for frontend notifications (Section 8)
- Added NotificationDropdownNew component (Section 8)
- Added SiteSetupChecklist to SiteCard in compact mode (Section 6)
- Updated api.ts Site interface with new fields
This commit is contained in:
IGNY8 VPS (Salman)
2025-12-27 17:40:28 +00:00
parent c44bee7fa7
commit a1ec3100fd
6 changed files with 606 additions and 33 deletions
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127
backend/igny8_core/ai/engine.py
View File

@@ -31,11 +31,15 @@ class AIEngine:
elif function_name == 'generate_ideas':
return f"{count} cluster{'s' if count != 1 else ''}"
elif function_name == 'generate_content':
return f"{count} task{'s' if count != 1 else ''}"
return f"{count} article{'s' if count != 1 else ''}"
elif function_name == 'generate_images':
return f"{count} task{'s' if count != 1 else ''}"
return f"{count} image{'s' if count != 1 else ''}"
elif function_name == 'generate_image_prompts':
return f"{count} image prompt{'s' if count != 1 else ''}"
elif function_name == 'optimize_content':
return f"{count} article{'s' if count != 1 else ''}"
elif function_name == 'generate_site_structure':
return "1 site blueprint"
return "site blueprint"
return f"{count} item{'s' if count != 1 else ''}"
def _build_validation_message(self, function_name: str, payload: dict, count: int, input_description: str) -> str:
@@ -51,12 +55,22 @@ class AIEngine:
remaining = count - len(keyword_list)
if remaining > 0:
keywords_text = ', '.join(keyword_list)
return f"Validating {keywords_text} and {remaining} more keyword{'s' if remaining != 1 else ''}"
return f"Validating {count} keywords for clustering"
else:
keywords_text = ', '.join(keyword_list)
return f"Validating {keywords_text}"
except Exception as e:
logger.warning(f"Failed to load keyword names for validation message: {e}")
elif function_name == 'generate_ideas':
return f"Analyzing {count} clusters for content opportunities"
elif function_name == 'generate_content':
return f"Preparing {count} article{'s' if count != 1 else ''} for generation"
elif function_name == 'generate_image_prompts':
return f"Analyzing content for image opportunities"
elif function_name == 'generate_images':
return f"Queuing {count} image{'s' if count != 1 else ''} for generation"
elif function_name == 'optimize_content':
return f"Analyzing {count} article{'s' if count != 1 else ''} for optimization"
# Fallback to simple count message
return f"Validating {input_description}"
@@ -64,24 +78,33 @@ class AIEngine:
def _get_prep_message(self, function_name: str, count: int, data: Any) -> str:
"""Get user-friendly prep message"""
if function_name == 'auto_cluster':
return f"Loading {count} keyword{'s' if count != 1 else ''}"
return f"Analyzing keyword relationships for {count} keyword{'s' if count != 1 else ''}"
elif function_name == 'generate_ideas':
return f"Loading {count} cluster{'s' if count != 1 else ''}"
# Count keywords in clusters if available
keyword_count = 0
if isinstance(data, dict) and 'cluster_data' in data:
for cluster in data['cluster_data']:
keyword_count += len(cluster.get('keywords', []))
if keyword_count > 0:
return f"Mapping {keyword_count} keywords to topic briefs"
return f"Mapping keywords to topic briefs for {count} cluster{'s' if count != 1 else ''}"
elif function_name == 'generate_content':
return f"Preparing {count} content idea{'s' if count != 1 else ''}"
return f"Building content brief{'s' if count != 1 else ''} with target keywords"
elif function_name == 'generate_images':
return f"Extracting image prompts from {count} task{'s' if count != 1 else ''}"
return f"Preparing AI image generation ({count} image{'s' if count != 1 else ''})"
elif function_name == 'generate_image_prompts':
# Extract max_images from data if available
if isinstance(data, list) and len(data) > 0:
max_images = data[0].get('max_images')
total_images = 1 + max_images # 1 featured + max_images in-article
return f"Mapping Content for {total_images} Image Prompts"
return f"Identifying 1 featured + {max_images} in-article image slots"
elif isinstance(data, dict) and 'max_images' in data:
max_images = data.get('max_images')
total_images = 1 + max_images
return f"Mapping Content for {total_images} Image Prompts"
return f"Mapping Content for Image Prompts"
return f"Identifying 1 featured + {max_images} in-article image slots"
return f"Identifying featured and in-article image slots"
elif function_name == 'optimize_content':
return f"Analyzing SEO factors for {count} article{'s' if count != 1 else ''}"
elif function_name == 'generate_site_structure':
blueprint_name = ''
if isinstance(data, dict):
@@ -94,13 +117,17 @@ class AIEngine:
def _get_ai_call_message(self, function_name: str, count: int) -> str:
"""Get user-friendly AI call message"""
if function_name == 'auto_cluster':
return f"Grouping {count} keyword{'s' if count != 1 else ''} into clusters"
return f"Grouping {count} keywords by search intent"
elif function_name == 'generate_ideas':
return f"Generating content ideas for {count} cluster{'s' if count != 1 else ''}"
elif function_name == 'generate_content':
return f"Writing article{'s' if count != 1 else ''} with AI"
return f"Writing {count} article{'s' if count != 1 else ''} with AI"
elif function_name == 'generate_images':
return f"Creating image{'s' if count != 1 else ''} with AI"
return f"Generating image{'s' if count != 1 else ''} with AI"
elif function_name == 'generate_image_prompts':
return f"Creating optimized prompts for {count} image{'s' if count != 1 else ''}"
elif function_name == 'optimize_content':
return f"Optimizing {count} article{'s' if count != 1 else ''} for SEO"
elif function_name == 'generate_site_structure':
return "Designing complete site architecture"
return f"Processing with AI"
@@ -108,13 +135,17 @@ class AIEngine:
def _get_parse_message(self, function_name: str) -> str:
"""Get user-friendly parse message"""
if function_name == 'auto_cluster':
return "Organizing clusters"
return "Organizing semantic clusters"
elif function_name == 'generate_ideas':
return "Structuring outlines"
return "Structuring article outlines"
elif function_name == 'generate_content':
return "Formatting content"
return "Formatting HTML content and metadata"
elif function_name == 'generate_images':
return "Processing images"
return "Processing generated images"
elif function_name == 'generate_image_prompts':
return "Refining contextual image descriptions"
elif function_name == 'optimize_content':
return "Compiling optimization scores"
elif function_name == 'generate_site_structure':
return "Compiling site map"
return "Processing results"
@@ -122,19 +153,21 @@ class AIEngine:
def _get_parse_message_with_count(self, function_name: str, count: int) -> str:
"""Get user-friendly parse message with count"""
if function_name == 'auto_cluster':
return f"{count} cluster{'s' if count != 1 else ''} created"
return f"Organizing {count} semantic cluster{'s' if count != 1 else ''}"
elif function_name == 'generate_ideas':
return f"{count} idea{'s' if count != 1 else ''} created"
return f"Structuring {count} article outline{'s' if count != 1 else ''}"
elif function_name == 'generate_content':
return f"{count} article{'s' if count != 1 else ''} created"
return f"Formatting {count} article{'s' if count != 1 else ''}"
elif function_name == 'generate_images':
return f"{count} image{'s' if count != 1 else ''} created"
return f"Processing {count} generated image{'s' if count != 1 else ''}"
elif function_name == 'generate_image_prompts':
# Count is total prompts, in-article is count - 1 (subtract featured)
in_article_count = max(0, count - 1)
if in_article_count > 0:
return f"Writing {in_article_count} In‑article Image Prompts"
return "Writing In‑article Image Prompts"
return f"Refining {in_article_count} in-article image description{'s' if in_article_count != 1 else ''}"
return "Refining image descriptions"
elif function_name == 'optimize_content':
return f"Compiling scores for {count} article{'s' if count != 1 else ''}"
elif function_name == 'generate_site_structure':
return f"{count} page blueprint{'s' if count != 1 else ''} mapped"
return f"{count} item{'s' if count != 1 else ''} processed"
@@ -142,20 +175,50 @@ class AIEngine:
def _get_save_message(self, function_name: str, count: int) -> str:
"""Get user-friendly save message"""
if function_name == 'auto_cluster':
return f"Saving {count} cluster{'s' if count != 1 else ''}"
return f"Saving {count} cluster{'s' if count != 1 else ''} with keywords"
elif function_name == 'generate_ideas':
return f"Saving {count} idea{'s' if count != 1 else ''}"
return f"Saving {count} idea{'s' if count != 1 else ''} with outlines"
elif function_name == 'generate_content':
return f"Saving {count} article{'s' if count != 1 else ''}"
elif function_name == 'generate_images':
return f"Saving {count} image{'s' if count != 1 else ''}"
return f"Uploading {count} image{'s' if count != 1 else ''} to media library"
elif function_name == 'generate_image_prompts':
# Count is total prompts created
return f"Assigning {count} Prompts to Dedicated Slots"
in_article = max(0, count - 1)
return f"Assigning {count} prompts (1 featured + {in_article} in-article)"
elif function_name == 'optimize_content':
return f"Saving optimization scores for {count} article{'s' if count != 1 else ''}"
elif function_name == 'generate_site_structure':
return f"Publishing {count} page blueprint{'s' if count != 1 else ''}"
return f"Saving {count} item{'s' if count != 1 else ''}"
def _get_done_message(self, function_name: str, result: dict) -> str:
"""Get user-friendly completion message with counts"""
count = result.get('count', 0)
if function_name == 'auto_cluster':
keyword_count = result.get('keywords_clustered', 0)
return f"✓ Organized {keyword_count} keywords into {count} semantic cluster{'s' if count != 1 else ''}"
elif function_name == 'generate_ideas':
return f"✓ Created {count} content idea{'s' if count != 1 else ''} with detailed outlines"
elif function_name == 'generate_content':
total_words = result.get('total_words', 0)
if total_words > 0:
return f"✓ Generated {count} article{'s' if count != 1 else ''} ({total_words:,} words)"
return f"✓ Generated {count} article{'s' if count != 1 else ''}"
elif function_name == 'generate_images':
return f"✓ Generated and saved {count} AI image{'s' if count != 1 else ''}"
elif function_name == 'generate_image_prompts':
in_article = max(0, count - 1)
return f"✓ Created {count} image prompt{'s' if count != 1 else ''} (1 featured + {in_article} in-article)"
elif function_name == 'optimize_content':
avg_score = result.get('average_score', 0)
if avg_score > 0:
return f"✓ Optimized {count} article{'s' if count != 1 else ''} (avg score: {avg_score}%)"
return f"✓ Optimized {count} article{'s' if count != 1 else ''}"
elif function_name == 'generate_site_structure':
return f"✓ Created {count} page blueprint{'s' if count != 1 else ''}"
return f"✓ {count} item{'s' if count != 1 else ''} completed"
def execute(self, fn: BaseAIFunction, payload: dict) -> dict:
"""
Unified execution pipeline for all AI functions.
@@ -411,9 +474,9 @@ class AIEngine:
# Don't fail the operation if credit deduction fails (for backward compatibility)
# Phase 6: DONE - Finalization (98-100%)
success_msg = f"Task completed: {final_save_msg}" if 'final_save_msg' in locals() else "Task completed successfully"
self.step_tracker.add_request_step("DONE", "success", "Task completed successfully")
self.tracker.update("DONE", 100, "Task complete!", meta=self.step_tracker.get_meta())
done_msg = self._get_done_message(function_name, save_result)
self.step_tracker.add_request_step("DONE", "success", done_msg)
self.tracker.update("DONE", 100, done_msg, meta=self.step_tracker.get_meta())
# Log to database
self._log_to_database(fn, payload, parsed, save_result)

18
backend/igny8_core/auth/serializers.py
View File

@@ -66,6 +66,8 @@ class SiteSerializer(serializers.ModelSerializer):
active_sectors_count = serializers.SerializerMethodField()
selected_sectors = serializers.SerializerMethodField()
can_add_sectors = serializers.SerializerMethodField()
keywords_count = serializers.SerializerMethodField()
has_integration = serializers.SerializerMethodField()
industry_name = serializers.CharField(source='industry.name', read_only=True)
industry_slug = serializers.CharField(source='industry.slug', read_only=True)
# Override domain field to use CharField instead of URLField to avoid premature validation
@@ -79,7 +81,7 @@ class SiteSerializer(serializers.ModelSerializer):
'is_active', 'status',
'site_type', 'hosting_type', 'seo_metadata',
'sectors_count', 'active_sectors_count', 'selected_sectors',
'can_add_sectors',
'can_add_sectors', 'keywords_count', 'has_integration',
'created_at', 'updated_at'
]
read_only_fields = ['created_at', 'updated_at', 'account']
@@ -161,6 +163,20 @@ class SiteSerializer(serializers.ModelSerializer):
"""Check if site can add more sectors (max 5)."""
return obj.can_add_sector()
def get_keywords_count(self, obj):
"""Get total keywords count for the site across all sectors."""
from igny8_core.modules.planner.models import Keywords
return Keywords.objects.filter(site=obj).count()
def get_has_integration(self, obj):
"""Check if site has an active WordPress integration."""
from igny8_core.business.integration.models import SiteIntegration
return SiteIntegration.objects.filter(
site=obj,
integration_type='wordpress',
is_active=True
).exists() or bool(obj.wp_url)
class IndustrySectorSerializer(serializers.ModelSerializer):
"""Serializer for IndustrySector model."""