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Save local changes (GSC/Bing integrations) before merging PR #354

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This commit is contained in:
ajaysi
2026-02-13 13:11:27 +05:30
parent 43e66835ac
commit 08a1f4a1d8
144 changed files with 8310 additions and 2748 deletions
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12
backend/services/persona/core_persona/core_persona_service.py
View File

@@ -46,6 +46,9 @@ class CorePersonaService:
# Get schema for structured response
persona_schema = self.prompt_builder.get_persona_schema()
# Extract user_id for tracking
user_id = onboarding_data.get("session_info", {}).get("user_id")
try:
# Generate structured response using Gemini
response = gemini_structured_json_response(
@@ -53,7 +56,8 @@ class CorePersonaService:
schema=persona_schema,
temperature=0.2, # Low temperature for consistent analysis
max_tokens=8192,
system_prompt="You are an expert writing style analyst and persona developer. Analyze the provided data to create a precise, actionable writing persona."
system_prompt="You are an expert writing style analyst and persona developer. Analyze the provided data to create a precise, actionable writing persona.",
user_id=user_id
)
if "error" in response:
@@ -103,13 +107,17 @@ class CorePersonaService:
# Get platform-specific schema
platform_schema = self.prompt_builder.get_platform_schema()
# Extract user_id for tracking
user_id = onboarding_data.get("session_info", {}).get("user_id")
try:
response = gemini_structured_json_response(
prompt=prompt,
schema=platform_schema,
temperature=0.2,
max_tokens=4096,
system_prompt=f"You are an expert in {platform} content strategy and platform-specific writing optimization."
system_prompt=f"You are an expert in {platform} content strategy and platform-specific writing optimization.",
user_id=user_id
)
return response

6
backend/services/persona/facebook/facebook_persona_service.py
View File

@@ -62,6 +62,9 @@ class FacebookPersonaService:
# Get Facebook-specific schema
schema = self._get_enhanced_facebook_schema()
# Extract user_id for tracking
user_id = onboarding_data.get("session_info", {}).get("user_id")
# Generate structured response using Gemini with optimized prompts
response = gemini_structured_json_response(
@@ -69,7 +72,8 @@ class FacebookPersonaService:
schema=schema,
temperature=0.2,
max_tokens=4096,
system_prompt=system_prompt
system_prompt=system_prompt,
user_id=user_id
)
if not response or "error" in response:

6
backend/services/persona/linkedin/linkedin_persona_service.py
View File

@@ -54,13 +54,17 @@ class LinkedInPersonaService:
# Get LinkedIn-specific schema
schema = self.schemas.get_enhanced_linkedin_schema()
# Extract user_id for tracking
user_id = onboarding_data.get("session_info", {}).get("user_id")
# Generate structured response using Gemini with optimized prompts
response = gemini_structured_json_response(
prompt=prompt,
schema=schema,
temperature=0.2,
max_tokens=4096,
system_prompt=system_prompt
system_prompt=system_prompt,
user_id=user_id
)
if "error" in response: