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chore: push all remaining changes

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- Blog writer enhancements and bug fixes
- Wix integration improvements
- Frontend UI updates
- GSC dashboard docs cleanup
- Image studio assets
- LinkedIn requirements file
- Various dependency updates
This commit is contained in:
ajaysi
2026-06-12 20:32:03 +05:30
parent 63a0df2536
commit d90d441019
78 changed files with 3963 additions and 2899 deletions
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18
backend/services/blog_writer/outline/parallel_processor.py
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@@ -17,7 +17,7 @@ class ParallelProcessor:
self.source_mapper = source_mapper
self.grounding_engine = grounding_engine
async def run_parallel_processing(self, outline_sections, research, user_id: str, task_id: str = None) -> Tuple[Any, Any]:
async def run_parallel_processing(self, outline_sections, research, user_id: str, task_id: str = None, competitive_advantage: str = "") -> Tuple[Any, Any]:
"""
Run source mapping and grounding insights extraction in parallel.
@@ -26,6 +26,7 @@ class ParallelProcessor:
research: Research data object
user_id: User ID (required for subscription checks and usage tracking)
task_id: Optional task ID for progress updates
competitive_advantage: Selected competitive advantage for preferential source matching
Returns:
Tuple of (mapped_sections, grounding_insights)
@@ -44,7 +45,7 @@ class ParallelProcessor:
# Run these tasks in parallel to save time
source_mapping_task = asyncio.create_task(
self._run_source_mapping(outline_sections, research, task_id, user_id)
self._run_source_mapping(outline_sections, research, task_id, user_id, competitive_advantage)
)
grounding_insights_task = asyncio.create_task(
@@ -59,7 +60,7 @@ class ParallelProcessor:
return mapped_sections, grounding_insights
async def run_parallel_processing_async(self, outline_sections, research, user_id: str) -> Tuple[Any, Any]:
async def run_parallel_processing_async(self, outline_sections, research, user_id: str, competitive_advantage: str = "") -> Tuple[Any, Any]:
"""
Run parallel processing without progress updates (for non-progress methods).
@@ -67,6 +68,7 @@ class ParallelProcessor:
outline_sections: List of outline sections to process
research: Research data object
user_id: User ID (required for subscription checks and usage tracking)
competitive_advantage: Selected competitive advantage for preferential source matching
Returns:
Tuple of (mapped_sections, grounding_insights)
@@ -81,7 +83,7 @@ class ParallelProcessor:
# Run these tasks in parallel to save time
source_mapping_task = asyncio.create_task(
self._run_source_mapping_async(outline_sections, research, user_id)
self._run_source_mapping_async(outline_sections, research, user_id, competitive_advantage)
)
grounding_insights_task = asyncio.create_task(
@@ -96,12 +98,12 @@ class ParallelProcessor:
return mapped_sections, grounding_insights
async def _run_source_mapping(self, outline_sections, research, task_id, user_id: str):
async def _run_source_mapping(self, outline_sections, research, task_id, user_id: str, competitive_advantage: str = ""):
"""Run source mapping in parallel."""
if task_id:
from api.blog_writer.task_manager import task_manager
await task_manager.update_progress(task_id, "🔗 Applying intelligent source-to-section mapping...")
return self.source_mapper.map_sources_to_sections(outline_sections, research, user_id)
return self.source_mapper.map_sources_to_sections(outline_sections, research, user_id, competitive_advantage=competitive_advantage)
async def _run_grounding_insights_extraction(self, research, task_id):
"""Run grounding insights extraction in parallel."""
@@ -110,10 +112,10 @@ class ParallelProcessor:
await task_manager.update_progress(task_id, "🧠 Extracting grounding metadata insights...")
return self.grounding_engine.extract_contextual_insights(research.grounding_metadata)
async def _run_source_mapping_async(self, outline_sections, research, user_id: str):
async def _run_source_mapping_async(self, outline_sections, research, user_id: str, competitive_advantage: str = ""):
"""Run source mapping in parallel (async version without progress updates)."""
logger.info("Applying intelligent source-to-section mapping...")
return self.source_mapper.map_sources_to_sections(outline_sections, research, user_id)
return self.source_mapper.map_sources_to_sections(outline_sections, research, user_id, competitive_advantage=competitive_advantage)
async def _run_grounding_insights_extraction_async(self, research):
"""Run grounding insights extraction in parallel (async version without progress updates)."""