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feat: image generation overhaul (model-aware text, dim clamping, \.30 pricing), event-driven dashboard cache invalidation, SEO insights (AI visibility, GSC, keyword gap), YouTube OAuth/publish, blog writer & content planning improvements, scheduler monitoring updates

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ajaysi
2026-05-30 07:58:22 +05:30
parent aaf94049da
commit 64f1f88cdd
129 changed files with 8796 additions and 8755 deletions
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27
backend/services/blog_writer/outline/metadata_collector.py
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@@ -1,7 +1,7 @@
"""
Metadata Collector - Handles collection and formatting of outline metadata.
Collects source mapping stats, grounding insights, optimization results, and research coverage.
Collects source mapping stats, grounding insights, and research coverage.
"""
from typing import Dict, Any, List
@@ -54,31 +54,6 @@ class MetadataCollector:
quality_indicators=grounding_insights.get('quality_indicators')
)
def collect_optimization_results(self, optimized_sections, focus):
"""Collect optimization results for UI display."""
from models.blog_models import OptimizationResults
# Calculate a quality score based on section completeness
total_sections = len(optimized_sections)
complete_sections = sum(1 for section in optimized_sections
if section.heading and section.subheadings and section.key_points)
quality_score = (complete_sections / total_sections * 10) if total_sections > 0 else 0.0
improvements_made = [
"Enhanced section headings for better SEO",
"Optimized keyword distribution across sections",
"Improved content flow and logical progression",
"Balanced word count distribution",
"Enhanced subheadings for better readability"
]
return OptimizationResults(
overall_quality_score=round(quality_score, 1),
improvements_made=improvements_made,
optimization_focus=focus
)
def collect_research_coverage(self, research):
"""Collect research coverage metrics for UI display."""
from models.blog_models import ResearchCoverage