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Subscription dashboard improvements, AI text generation limit, and other fixes.

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This commit is contained in:
ajaysi
2025-11-01 18:01:14 +05:30
parent cdb41aec1b
commit de4328175d
64 changed files with 5809 additions and 444 deletions
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15
backend/services/blog_writer/seo/blog_content_seo_analyzer.py
View File

@@ -34,17 +34,21 @@ class BlogContentSEOAnalyzer:
logger.info("BlogContentSEOAnalyzer initialized")
async def analyze_blog_content(self, blog_content: str, research_data: Dict[str, Any], blog_title: Optional[str] = None) -> Dict[str, Any]:
async def analyze_blog_content(self, blog_content: str, research_data: Dict[str, Any], blog_title: Optional[str] = None, user_id: str = None) -> Dict[str, Any]:
"""
Main analysis method with parallel processing
Args:
blog_content: The blog content to analyze
research_data: Research data containing keywords and other insights
blog_title: Optional blog title
user_id: Clerk user ID for subscription checking (required)
Returns:
Comprehensive SEO analysis results
"""
if not user_id:
raise ValueError("user_id is required for subscription checking. Please provide Clerk user ID.")
try:
logger.info("Starting blog content SEO analysis")
@@ -58,7 +62,7 @@ class BlogContentSEOAnalyzer:
# Phase 2: Single AI analysis for structured insights
logger.info("Running AI analysis")
ai_insights = await self._run_ai_analysis(blog_content, keywords_data, non_ai_results)
ai_insights = await self._run_ai_analysis(blog_content, keywords_data, non_ai_results, user_id=user_id)
# Phase 3: Compile and format results
logger.info("Compiling results")
@@ -599,8 +603,10 @@ class BlogContentSEOAnalyzer:
return recommendations
async def _run_ai_analysis(self, blog_content: str, keywords_data: Dict[str, Any], non_ai_results: Dict[str, Any]) -> Dict[str, Any]:
async def _run_ai_analysis(self, blog_content: str, keywords_data: Dict[str, Any], non_ai_results: Dict[str, Any], user_id: str = None) -> Dict[str, Any]:
"""Run single AI analysis for structured insights (provider-agnostic)"""
if not user_id:
raise ValueError("user_id is required for subscription checking. Please provide Clerk user ID.")
try:
# Prepare context for AI analysis
context = {
@@ -658,7 +664,8 @@ class BlogContentSEOAnalyzer:
ai_response = llm_text_gen(
prompt=prompt,
json_struct=schema,
system_prompt=None
system_prompt=None,
user_id=user_id # Pass user_id for subscription checking
)
return ai_response

26
backend/services/blog_writer/seo/blog_seo_metadata_generator.py
View File

@@ -28,7 +28,8 @@ class BlogSEOMetadataGenerator:
blog_title: str,
research_data: Dict[str, Any],
outline: Optional[List[Dict[str, Any]]] = None,
seo_analysis: Optional[Dict[str, Any]] = None
seo_analysis: Optional[Dict[str, Any]] = None,
user_id: str = None
) -> Dict[str, Any]:
"""
Generate comprehensive SEO metadata using maximum 2 AI calls
@@ -39,10 +40,13 @@ class BlogSEOMetadataGenerator:
research_data: Research data containing keywords and insights
outline: Outline structure with sections and headings
seo_analysis: SEO analysis results from previous phase
user_id: Clerk user ID for subscription checking (required)
Returns:
Comprehensive metadata including all SEO elements
"""
if not user_id:
raise ValueError("user_id is required for subscription checking. Please provide Clerk user ID.")
try:
logger.info("Starting comprehensive SEO metadata generation")
@@ -53,13 +57,13 @@ class BlogSEOMetadataGenerator:
# Call 1: Generate core SEO metadata (parallel with Call 2)
logger.info("Generating core SEO metadata")
core_metadata_task = self._generate_core_metadata(
blog_content, blog_title, keywords_data, outline, seo_analysis
blog_content, blog_title, keywords_data, outline, seo_analysis, user_id=user_id
)
# Call 2: Generate social media and structured data (parallel with Call 1)
logger.info("Generating social media and structured data")
social_metadata_task = self._generate_social_metadata(
blog_content, blog_title, keywords_data, outline, seo_analysis
blog_content, blog_title, keywords_data, outline, seo_analysis, user_id=user_id
)
# Wait for both calls to complete
@@ -114,9 +118,12 @@ class BlogSEOMetadataGenerator:
blog_title: str,
keywords_data: Dict[str, Any],
outline: Optional[List[Dict[str, Any]]] = None,
seo_analysis: Optional[Dict[str, Any]] = None
seo_analysis: Optional[Dict[str, Any]] = None,
user_id: str = None
) -> Dict[str, Any]:
"""Generate core SEO metadata (Call 1)"""
if not user_id:
raise ValueError("user_id is required for subscription checking. Please provide Clerk user ID.")
try:
# Create comprehensive prompt for core metadata
prompt = self._create_core_metadata_prompt(
@@ -170,7 +177,8 @@ class BlogSEOMetadataGenerator:
ai_response_raw = llm_text_gen(
prompt=prompt,
json_struct=schema,
system_prompt=None
system_prompt=None,
user_id=user_id # Pass user_id for subscription checking
)
# Handle response: llm_text_gen may return dict (from structured JSON) or str (needs parsing)
@@ -215,9 +223,12 @@ class BlogSEOMetadataGenerator:
blog_title: str,
keywords_data: Dict[str, Any],
outline: Optional[List[Dict[str, Any]]] = None,
seo_analysis: Optional[Dict[str, Any]] = None
seo_analysis: Optional[Dict[str, Any]] = None,
user_id: str = None
) -> Dict[str, Any]:
"""Generate social media and structured data (Call 2)"""
if not user_id:
raise ValueError("user_id is required for subscription checking. Please provide Clerk user ID.")
try:
# Create comprehensive prompt for social metadata
prompt = self._create_social_metadata_prompt(
@@ -274,7 +285,8 @@ class BlogSEOMetadataGenerator:
ai_response_raw = llm_text_gen(
prompt=prompt,
json_struct=schema,
system_prompt=None
system_prompt=None,
user_id=user_id # Pass user_id for subscription checking
)
# Handle response: llm_text_gen may return dict (from structured JSON) or str (needs parsing)

6
backend/services/blog_writer/seo/blog_seo_recommendation_applier.py
View File

@@ -20,8 +20,11 @@ class BlogSEORecommendationApplier:
def __init__(self):
logger.debug("Initialized BlogSEORecommendationApplier")
async def apply_recommendations(self, payload: Dict[str, Any]) -> Dict[str, Any]:
async def apply_recommendations(self, payload: Dict[str, Any], user_id: str = None) -> Dict[str, Any]:
"""Apply recommendations and return updated content."""
if not user_id:
raise ValueError("user_id is required for subscription checking. Please provide Clerk user ID.")
title = payload.get("title", "Untitled Blog")
sections: List[Dict[str, Any]] = payload.get("sections", [])
@@ -88,6 +91,7 @@ class BlogSEORecommendationApplier:
prompt,
None,
schema,
user_id, # Pass user_id for subscription checking
)
if not result or result.get("error"):